Azithromycin with nitazoxanide, hydroxychloroquine or ivermectin, with or without dutasteride, for early stage COVID-19: an open-label prospective observational study in males with mild-to-moderate COVID-19 (The Pre-AndroCoV Male Trial).

Azithromycin with nitazoxanide, hydroxychloroquine or ivermectin, with or without dutasteride, for early stage COVID-19: an open-label prospective observational study in males with mild-to-moderate COVID-19 (The Pre-AndroCoV Male Trial). | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Azithromycin with nitazoxanide, hydroxychloroquine or ivermectin, with or without dutasteride, for early stage COVID-19: an open-label prospective observational study in males with mild-to-moderate COVID-19 (The Pre-AndroCoV Male Trial). Flavio A Cadegiani, Andy Goren, Carlos G Wambier, John McCoy This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-88952/v2 This work is licensed under a CC BY 4.0 License Status: Posted Version 2 posted You are reading this latest preprint version Show more versions Abstract Background: COVID-19 is a multisystemic disorder caused by SARS-CoV-2 that has led to more than 1,000,000 deaths until the end of September 2020. Besides aging, obesity, and metabolic diseases, males, in particular those affected by androgenetic alopecia (AGA), are at higher risk to develop complications. While policies for diagnosis of COVID-19 still focus on the presence of fever or shortness of breath, these symptoms tend to appear only in later and more severe stages of the disease, when viral infectivity is already, hampering potential antiviral approaches. In addition, clinical characterization of early COVID-19 stages still lacks. The objective of the present observational study was to characterize prospectively clinical features and predictors in males during early COVID-19, and to evaluate whether the combination of more sensitive case-detection, early diagnosis and early pharmacological approaches would lead to improved clinical outcomes. Material and methods: Males confirmed for COVID-19 through positive real-time polymerase chain reaction (rtPCR) for SARS-CoV-2 with less than seven days of symptoms and three days of COVID-19 confirmation were divided into non-AGA, AGA not using dutasteride (AGA no-5ARi), and AGA using dutasteride (AGA-5ARi) groups. Patients were actively characterized for baseline and lifestyle characteristics, 22 different diseases, 42 drug classes and vaccines, 26 different symptoms, and 10 different parameters to measure COVID-19 related clinical outcomes. Azithromycin plus hydroxychloroquine, nitazoxanide 500mg or ivermectin, with or without dutasteride or spironolactone were used. Patients were then evaluated for COVID-19 clinical course, duration, and progression. Results: A total of 305 males were enrolled, including 192 non-AGA, 71 AGA non-ARi and 52 AGA-5ARi. The prevailing symptoms were anosmia (68.9%), ageusia (61.2%), headache (37.5%), hyporexia (37.5%), fatigue (35.2%), dry cough (35.2%), fever or “feverish” (33.9%), thoracic pain (32.4%), conjunctival hyperemia (29.5%), weakness (29.5%), nasal congestion or rhinorrhea (28.6% and myalgia (26.3%). ARi users remained asymptomatic throughout COVID-19 treatment in 82.7% (43 of 52 males), and the only symptoms present in more than two AGA-5ARi patients were anosmia and ageusia. Thoracic, upper back, lower back pain, arthralgia affected a higher percentage of AGA no-5ARi than non-AGA males (all p < 0.01), but had similar durations (p = n/s). Anosmia, ageusia, headache, fatigue, myalgia and conjunctival hyperemia were more commonly present and lasted for longer periods in AGA no 5ARi patients (all p < 0.01). Self-reported perception of “sinusitis” and “sore throat”, dry cough and weakness were equally present (p = n/s) but had longer duration in AGA no-5ARi males (all p 0.05). AGA males were more severely affected than non-AGA in terms of duration of clinical manifestations ( 9.4 ± 6.0 vs 14.2 ± 7.3 days, p < 0.0001) and viral shedding ( 14.0 ± 5.2 vs 17.8 ± 6.2 days; p < 0.0001), which has been fully mitigated by the chronic use of dutasteride (p < 0.0001 and < 0.0001 vs non-AGA and AGA no-5ARi, respectively, for both clinical manifestations and viral shedding duration. Non-AGA, AGA no-5ARi and AGA-5ARi achieved 95% clinical recovery in seven, 14, and two days, respectively. In regards functional capacity, AGA no -5ARi males at Days 30, 14, 7, and 3 after treatment initiation were similar than non-AGA at Days 14, 7, 3, and 0, respectively (all p > 0.9). None of the patients required hospitalization and mechanical ventilation, or progressed to more severe states. Conclusion: The combination of more sensitive and earlier diagnosis of COVID-19 with a variety of drug combinations with preliminary demonstration of direct or indirect antiviral activity against SARS-CoV-2 demonstrated indisputable improved COVID-19 related clinical outcomes compared to the extensively described COVID-19 clinical course, and avoided the progression to more severe state in all patients included in the present analysis, independently of risk factors, demonstrating that any additional risk factor can be completely mitigated by the combination of more sensitive clinical suspect with early pharmacological approaches. The overwhelming differences indicate that full placebo control RCTs for early COVID-19 may be ethically questionable. Instead, double blind therapies with different options, or mixed open label placebo control for COVID-19 should be considered. Infectious Diseases Critical Care & Emergency Medicine COVID-19 SARS-CoV-2 antiandrogen dutasteride spironolactone Figures Figure 1 Background COVID-19 is a multi-systemic infection caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) that has infected more than 6,000,000 people and killed more than 1,000,000 people worldwide until the end of September 2020. Aging, obesity, uncompensated type 2 diabetes mellitus (T2DM), hypertension, male sex, and presence of male androgenetic alopecia (AGA) have been detected as risk factors for COVID-19 complications (1-6). Although mortality in COVID-19 is slightly decreasing along the pandemics, challenges for early detection and management remain, and include the large number of asymptomatic yet transmitting subjects, prolonged viral incubation and shedding period, lack of specific and highly heterogeneous clinical manifestations (except for anosmia and ageusia), and rapid progression to acute lung injury from oligosymptomatic clinical presentations (7-10). Despite the challenging detection of suspected cases during the earlier stages, the majority of the public policies still focus on the presence of fever or shortness of breath as sine-quo-non criteria for the performance of real-time Polymerase Chain Reaction (rtPCR) (11). This hampers the diagnosis of COVID-19 without the presence of any of these two symptoms, and keeps medical literature claims on the presence of fever in the vast majority of infected patients, despite more specific and independent extensive data showing otherwise (12,13). The natural course of SARS-CoV-2 has been divided into three major stages: the first one encompasses the period of SARS-CoV-2 viral infectivity and spread; the second stage corresponds to an exacerbated, diffuse and dysfunctional inflammatory reaction to SARS-CoV-2, while the third stage represents the COVID-19 induced acute lung injury per se (14). Multiple drugs have been proposed to improve COVID-19 clinical outcomes, from the demonstration of specific in vitro antiviral activity against SARS-CoV-2, through clinical observations, or following mechanistical rationale (14). Among these drugs, azithromycin, in association with hydroxychloroquine or ivermectin, have been the most attempted drug combinations to decrease COVID-19 severity and complications (15). However, mandatory presence of fever in order to suspect for COVID-19 prevents its detection during the first stage, when antiviral approaches should work. Indeed, since detection of COVID-19 is still relatively delayed in the majority of the cases, antiviral approaches tend to become less effective. Consequently, the vast majority of randomized clinical trials (RCT) for COVID-19, have been performed in hospitalized patients, even those claiming to be performed in mild-to-moderate COVID-19. Naturally, antiviral the alleged early pharmacological approaches for COVID-19 remain controversial, since actual early or mild presentations of COVID-19 have been under-investigated, which precludes from conclusive findings regarding the efficacy of these approaches. For the evaluation of potential antiviral therapies of the proposed drugs may act reducing viral infectivity, it is critical to detect COVID-19 during earlier stages, based on a more sensitive case-detection guidance. We hypothesized that the missing gap to respond to the efficacy of early approaches against COVID-19 in the current lack of proven options to prevent its progression to more severe stages is to provide potential antiviral therapies during the first stage of COVID-19, which requires more sensitive diagnosis of COVID-19. Owing to the extreme heterogeneity of the early COVID-19 clinical manifestations and to the fact that because of the spread use of masks, upper respiratory tract infection (URTI) and other infections became less likely than COVID-19, we moved from the need of fever or shortness of breath to the occurrence of absolutely any symptom as suspected case of COVID-19. The present study is a prospective observational study aiming to evaluate whether more clinical sensitive detection of COVID-19 associated with early use of the unproven yet plausible drug combinations would be able to change the course of COVID-19 by improving clinical outcomes. The present prospective observational study also aimed to drive the design of our currently ongoing RCT (ClinicalTrials.gov Identifier: NCT04446429. Available at clinicaltrials.gov ( https://clinicaltrials.gov/ct2/show/NCT04446429?term=NCT04446429&draw=2&rank=1 ). Due to distinct characteristics and disease patterns in COVID-19, particularly because of the critical function of the transmembrane serine protease 2 (TMPRSS-2), an androgen-driven protein, for the modulation of the SARS-CoV-2 cell entry and COVID-19 severity, the present prospective observational study was divided in to males and females and in the presence or absence of androgenetic alopecia (AGA) in males, since we hypothesized that responses could be sex-specific, which could provide potential insights for individualization of COVID-19 pharmacological approaches. Materials And Methods Subject selection Patients were recruited both direct- and indirectly through social media and different emergency units, outpatient clinics and medical private practice centers, respectively, located in Brasilia, Brazil, in case of suspected or confirmed COVID-19. Male candidates were suspected for COVID-19 in case of presence of at least one symptom encompassing the respiratory, gastrointestinal, neurological, cardiovascular systems, or any unspecific symptom, not limited to fever, shortness of breath, anosmia or ageusia. Suspected cases underwent rtPCR-SARS-CoV-2 (Abbott RealTime SARS-CoV-2 Assay, Abbott, USA; or Cobas SARS-CoV-2, Roche, Switzerland), and those confirmed for SARS-CoV-2 were included in the study if inclusion criteria were met. Patients confirmed for COVID-19 and referred by external medical centers were selected if they met criteria for the present study. For patients with confirmed COVID-19 through positive rtPCR-SARS-CoV-2, inclusion criteria for the present study included: 1. Male sex; 2. 18 years old and above; 3. Less than seven days since the beginning of symptoms; 4. Less than 72 hours from the confirmation of COVID-19; 4. Lack of use of any drug with potential antiviral activity against SARS-CoV-2, including hydroxychloroquine, nitazoxanide and ivermectin, and glucocorticoids, prior to the study; and 5. Absence of clinical or radiological evidence of progression to second or third stage of COVID-19, severe lung injury, or severe COVID-19. Criteria for exclusion including shortness of breath, oxygen saturation (SatO2) lower than 92%, and more than 25% of lungs affected in a chest computed tomography (CT) scan. Patients included for the present analysis provided a written consent exactly as approved by the Institutional Review Board (IRB) of the Ethics Committee of the National Board of Ethics Committee of the Ministry of Health, Brazil (CEP/CONEP: Parecer 4.173.074 / CAAE: 34110420.2.0000.0008), alongside with the currently ongoing randomized clinical trial (RCT) registered at ClinicalTrials.gov (Identifier: NCT04446429. Available at clinicaltrials.gov ( https://clinicaltrials.gov/ct2/show/NCT04446429?term=NCT04446429&draw=2&rank=1 ). Design and methods This is a prospective observational study of patients confirmed for COVID-19 after suspected for COVID-19 through a sensitive case-detection basis. For this, a preliminary ‘pre-study’ phase was conducted with males that presented any symptom, not restricted to those observed in URTIs, anosmia or ageusia, as being suspected for COVID-19, that yielded a positive rtPCR-SARS-CoV-2 (Abbott RealTime SARS-CoV-2 Assay, Abbott, USA; or Cobas SARS-CoV-2, Roche, Switzerland). Not only new onset symptoms, but also changes in patterns of chronic symptoms, like headache or cough, were also considered as suspected for COVID-19. No history of contact with confirmed case of COVID-19 was required. Included males were actively characterized for baseline and lifestyle characteristics, 22 different diseases, 42 drug classes and vaccines, 26 different symptoms, and 10 different parameters to measure COVID-19 related clinical outcomes. All parameters that were actively characterized are listed in Table 1. Males were then divided according to the presence or absence of androgenetic alopecia (AGA), and use or not of dutasteride. Male AGA was considered when front or scalp hair was decreased in a male loss pattern, controlled with specific drugs (finasteride or dutasteride), or previous hair transplant. For statistical and clinical purposes, severe hyposmia and dysgeusia were considered as anosmia and ageusia, respectively. Further, clustering of clinical manifestations was performed due to the overwhelming grouping of symptoms. The following clusters have been identified: 1. Anosmia-Ageusia dominance; 2. Dengue-like symptomatology / clinical presentation; 3. Upper respiratory tract infection (URTI) URTI-like symptomatology / clinical presentation; 4. Gastrointestinal (GI) infection-like symptomatology / clinical presentation; 5. Mixed between clusters; 6. Unspecific presentation; or 7. Asymptomatic, as shown in Figure 1. To fill criteria for each cluster, it has been required for: Anosmia-Ageusia dominance: at least two of nasal congestion or rhinorrhea, dry cough, self-reported perception of “sinusitis”, or self-reported perception of “sore throat”; Dengue-like clinical presentation: at least three of myalgia, arthralgia, upper back pain, conjunctival hyperemia or pre-orbital pain; URTI-like clinical presentation: at least two of nasal congestion or rhinorrhea, dry cough, self-reported perception of “sinusitis”, or self-reported perception of “sore throat”; GI infection-like clinical presentation: at least two of diarrhea, nauseas, vomiting, or abdominal pain; Mixed between clusters: when there are symptoms to fill criteria for at least two clusters Unspecific presentation: when there are only unspecific or insufficient symptoms to fill criteria for any cluster; or Asymptomatic. After characterization, azithromycin was given at a dose of 500mg per day for five days, in association with hydroxychloroquine at a daily dose of 400mg for five days, nitazoxanide 500mg bis in die for six days, or ivermectin 0.2mg/kg/day in a single daily dose for three days. Optionally, dutasteride, spironolactone, vitamin D, vitamin C, zinc, apibaxan, rivaroxaban, enoxaparin, and glucocorticoids were prescribed. The choice between hydroxychloroquine, nitazoxanide, and/or ivermectin, as well as the optional use dutasteride, spironolactone (if applicable) and any other drug or supplement was based on clinical judgement, availability, and individual medical history. Patients were then evaluated for disease course and progression, time-to-appearance and duration of each symptom, and severity scales, including hospitalization, intensive care, mechanical ventilation, and death, duration of symptoms including and also not including anosmia and ageusia, and duration of positive rtPCR-SARS-CoV-2. In individually selected cases, chest CT scan was performed. Full raw data is available at a data repository (https://osf.io/cm4f8/). Data availability Full raw data is available at a public repository, in the following electronic address: https://osf.io/cm4f8/ , that has been made public available. Sample size Sample size was determined based on the following assumptions (22): Sample size estimate for the chi-squared test will require 80% power to detect the difference in proportions at p=0.05 95% of subjects would complete the study Hospitalization and death rates between 3 and 20%, and 0.3 and 2.5%, respectively (1,2,6,23) Based on the assumptions above, we calculated that at a minimum we would need to recruit 254 subjects, and the study terminated when this number was reached, or in case of unexpected outcomes that could justify its early termination. Statistical analysis Nonparametric ANOVA (Kruskal-Wallis) was performed for all parameters, regardless of the distribution normality, and post-hoc adjusted Dunn’s test was performed for subgroup analyses, whenever p <0.05. All statistical tests were performed using XLSTAT version 22.4.1 (Microsoft, USA). Table 1. Parameters evaluated for the present prospective observational study. Aspect Parameter Baseline characteristics Age (y/o) Weight (kg) Height (m) BMI (kg/m 2 ) Married (yes/no) and households (yes/no) Disease and treatment timing Time-to-treat (interval between beginning of symptoms and beginning of specific treatment) (days) Duration of positive rtPCR SARS-CoV-2 (days) Duration of symptoms (not including anosmia and ageusia) (days) Duration of symptoms (including anosmia and ageusia) (days) Medical history Existing diseases Hypertension Myocardial infarction Stroke Chronic heart failure Lipid disorders Type 2 diabetes mellitus (T2DM) Pre-diabetes Dysglicaemia (T2DM + pre-diabetes) Obesity Asthma Chronic Obstructive Pulmonary Disease (COPD) Chronic Kidney Disease (CKD) Liver fibrosis or cirrhosis Major depression Anxiety or anxiety-related disorders Attention deficiency and hyperactive disorders (ADHD) Insomnia Hypothyroidism Autoimmune disorders (any) Current or previous cancer Hypogonadism Benign Prostate Hyperplasia (BPH) Other diseases (any) Current medications Cardiovascular drugs Beta-blocker Angiotensin converter inhibitors (ACEi) (-pril) Angiotensin-2 receptor blockers (ARB) (-tan) Loop diuretics (furosemide) Thiazide diuretics (hydrochlorotiazide (HCTZ), indapamide) Calcium channel blockers (CCB) (-dipine) K-sparing diuretics (spironolactone) Statins (pitava-, rosuva-, atorva-, prava-, simvastatin) Other lipid-lowering agents (fibrates, ezetimibe, PCSK9 inhibitors) Aspirin Clopidogrel Warfarin Xa factor inhibitors (apibaxan, rivaroxaban) Direct thrombin inhibitors (dabagatran) Heparins Diabetes, obesity, and metabolic-related drugs Biguanides (metformin) Glucagon-like peptide 1 (GLP1) receptor analogues (GLP-1Ra) (lira-, sema-, dulaglutide; exenatide) Sodium-glucose co-transporter 2 (SGLT2) inhibitors (SGLT2i) (empa-, dapa-, canagliflozin) Di-peptyl peptidase 4 (DPP4) inhibitors (DPP4i) (vilda-, sita-, saxa-, linagliptin) Sulfonylureas (glipizide, glimepiride, glicazide) Glitazone Acarbose Insulin Orlistat Hormone and related therapies Levothyroxine (with or without liothyronine) Testosterone (any regimen) Aromatase inhibitors (anastrozole; letrozole) Selective estrogen receptor modulators (SERMs) 5-alpha reductase inhibitors (dutasteride, finasteride) Gonadotropin releasing hormone (GnRH) analogues and inhibitors Non-steroidal antiandrogens (NSAA) Central-acting drugs Hypnotics (zolpidem, zopiclone, eszopiclone, ramelteon) Selective serotonin reuptaker inhibitors (SSRIs) (fluoxetine, (des)venlafaxine, sertraline, (es)citalopram, vortioxetine, fluvoxamine) Other antidepressants and humor stabilizers (bupropion, topiramate, trazodone, ami- ou nortriptiline, topiramate, oxcarbamazepine) Benzodiazepines (Lora-, broma-, dia-, clonazepam; alpra-, midazolam) Atypical antipsychotics (olanzapine, quetiapine, risperidone, clozapine, aripiprazole) Central nervous system (CNS) stimulants (methylfenidate, lisdexamfetamine, modafinil) Other drugs Alpha-1 adrenergic blockers (prazosin, doxazosin, tamsulosin) Phosphodiesterase 5 inhibitors (sildenafil, tadalafil) Supplements Omega-3 (> 3g/day) Vitamina D (> 1,000iu/day) Zinc (> 15mg/day) Vitamin C (> 500mg/day) Multivitamins Vaccine BCG (lifetime) Influenza (in 2020) Pneumococcal 13 or 23 (since 2017) Lifestyle Current smoking (> 2 packs/week and > 10 pack-year) Regular physical activity (> 150min/week, moderate-to-vigorous, > 3 METs, for > 1y) Clinical characterization - Presence (yes/no) Time to appearance (days) Duration (days) Unspecific symptoms Fever “Feverish” Headache Shortness of breath Anosmia Ageusia / hypergeusia / dysgeusia Dizziness Weakness Fatigue Hyporexia / anorexia Thoracic pain Lower back pain Dry eyes / dry mouth / skin lesions Testicular pain Upper respiratory tract infection-like symptoms Nasal congestion or rhinorrhea Dry cough “Sinusitis” (self-reported perception) “Sore throat” (self-reported perception) Dengue-like symptoms Myalgia Arthralgia Upper back pain Conjuctival hyperemia Pre-orbital pain Gastrointestinal (GI) infection-like symptoms Diarrhea Nauseas Vomiting Abdominal pain Clinical clustering Anosmia-Ageusia dominance; or Dengue-like symptomatology / clinical presentation; or URTI-like symptomatology / clinical presentation; or GI infection-like symptomatology / clinical presentation; or Mixed; or Unspecific; or Asymptomatic Treatment (Azithromycin 500mg/day for 05 days +) Hydroxychloroquine 400mg/day for 05 days, or Nitazoxanide 500mg BID for 06 days, or Ivermectin 0.2mg/kg/day for 03 days +/- Spironolactone 100mg BID for 15 days, or Dutasteride 0.5mg/day until cure Additional treatments (added according to clinical judgement) Xa factor inhibitors Warfarin Enoxaparin Acetylsalicylic acid (ASA) Glucocorticoids (methylprednisolone, dexamethasone, prednisone, prednisolone) Bromhexine N-acetylcysteine Colchicine Vitamin C (additional dose, if already under use) Zinc (additional dose, if already under use) Vitamin D (additional dose, if already under use) Outcomes (Day 0 = beginning of treatment) WHO COVID Ordinal Outcomes (Stages 1-5) Day 0 Day 7 Day 14 Day 30 Day 60 Loss of ability to everyday activities (0-100; 0 = no loss; 100 = complete inability) Day 0 Day 3 Day 7 Day 14 Day 30 Symptom severity (0-100;0 = worst day of symptoms; 100 = no symptoms or fully recovered) Day -7 to -4 Day -3 to -1 Day 0 Day 1 Day 2 Day 3 Day 7 Day 14 Day 21 Day 30 Day 60 Thoracic CT scan (% of lungs affected) Day 0 Day 7 Day 14 Day 30 Disease progression outcomes Brescia COVID-19 Respiratory Severity Scale (0-4) Hospitalization Intensive Care Unit (ICU) Mechanical ventilation Noradrenaline/dopamine Death Results All tables depict characteristics and parameters according to the group and for overall males, as well as overall and pairwise p- value comparisons. Tables 2 to 5 characterize patients’ background, Tables 6 to 10 describe COVID-19 presentation and proposed therapeutical approaches, and Tables 10 to 15 depict COVID-19 related outcomes. Patients’ characterization A total of 305 males were included in the present study. Of these, 192 did not present AGA (non-AGA group) and 123 had current or history of AGA, from which 71 did not use dutasteride (AGA no-5ARi group) and 52 did (AGA-5ARi group). There was no dropout for clinical and disease progression outcomes. Table 2 details baseline characteristics, Table 3 describes the prevalence of the most common comorbidities. Table 4 depicts the medications used on a chronic and regular basis, and Table 5 depicts vaccines and lifestyle. Baseline characteristics (Table 2) were similar between groups, including age, body mass index (BMI), percentage of married males and percentage of males living alone, whereas non-AGA males were slightly but significantly taller than AGA males from both 5ARi and no-5ARi groups. The major and prevailing diseases were present in similarly present in all groups (Table 3), while chronic kidney disease (CKD), liver fibrosis and cirrhosis, and current cancer were absent. Autoimmune disorders and previous cancer were present in less than three patients. None of the medications for hypertension, cardiovascular diseases, diabetes, obesity, hormonal dysfunctions and psychiatric disorders disclosed differences between groups (Table 4). Warfarin, direct thrombin inhibitors, heparins, acarbose, gonadotropin releasing hormone (GnRH) analogues and inhibitors, non-steroidal antiandrogens (NSAA), finasteride and oral minoxidil was not used by any participant. The percentage of males that received vaccines for BCG, influenza and pneumococcal was, and that practiced physical activity regularly was similar between groups (Table 5). Table 2. Baseline characteristics. Baseline characteristics Overall males (n = 305) Non-AGA males (n = 192) AGA no-5ARi males (n = 71) AGA-5ARi (n = 52) p-value (overall) Age (y/o) 43.9 ± 10.8 43.1 ± 11.2 45.2 ± 9.0 45.5 ± 11.3 0.26 (n/s) Height (m) 1.76 ± 0.06 1.77 ± 0.06* # 1.74 ± 0.05 1.74 ± 0.04 < 0.0001 BMI (kg/m 2 ) 26.9 ± 3.7 26.9 ± 3.7 26.9 ± 4.2 26.3 ± 3.0 0.18 (n/s) Married (yes/no) 235 (76.2%) 147 (76.6%) 52 (80.3%) 36 (69.2%) n/a Households (yes/no) 51 (16.2%) 29 (15.1%) 10 (14.1%) 12 (23.1%) n/a AGA = androgenetic alopecia; 5ARi = Androgen receptor inhibitors; n/s = non-significant; n/a = non-applicable *p<0.05 vs AGA no-ARi males # p<0.05 vs AGA-ARi males Table 3. Existing disorders. Comorbidities Overall males (n = 305) Non-AGA males (n = 192) AGA no-5ARi males (n = 71) AGA-5ARi (n = 52) p-value (overall) Hypertension 39 (20.3%) 39 (20.3%) 15 (21.1%) 13 (25.0%) 0.74 (n/s) Myocardial infarction 13 (4.1%) 6 (3.1%) 5 (7.0%) 2 (3.8%) 0.63 (n/s) Stroke 4 (1.3%) 3 (1.6%) 1 (1.4%) 0 n/a Chronic Heart Failure (CHD) 1 (0.3%) 1 (0.5%) 0 0 n/a Lipid disorders 110 (34.9%) 63 (32.8%) 21 (29.6%) 26 (50.0%) & 0.064 (n/s) Type 2 diabetes mellitus (T2DM) 39 (12.4%) 21 (10.9%) 9 (21.7%) 9 (17.3%) 0.44 (n/s) Pre-diabetes 14 (4.4%) 9 (4.7%) 2 (2.8%) 3 (5.8%) 0.97 (n/s) Dysglycemia (T2DM + pre-diabetes) 53 (16.8%) 30 (15.6%) 11 (24.5%) 12 (24.1%) 0.69 (n/s) Obesity 52 (16.5%) 31 (16.1%) 12 (16.9%) 9 (17.3%) 0.96 (n/s) Asthma 22 (7.0%) 12 (6.2%) 8 (11.3%) 2 (3.8%) 0.75 (n/s) Major depression 12 (3.8%) 5 (2.6%) 2 (2.8%) 5 (9.6%) 0.54 (n/s) Anxiety-related disorders 40 (12.7%) 22 (11.5%) 10 (14.1%) 8 (15.4%) 0.85 (n/s) Attention deficiency and hyperactive disorders (ADHD) 33 (10.5%) 18 (9.4%) 9 (12.7%) 6 (11.5%) 0.69 (n/s) Insomnia 25 (7.9%) 13 (6.8%) 7 (9.8%) 5 (9.6%) 0.61 (n/s) Hypothyroidism 13 (4.1%) 9 (4.7%) 2 (2.8%) 2 (3.8%) 0.88 (n/s) Hypogonadism 34 (10.8%) 24 (12.5%) 7 (9.9%) 3 (5.8%) 0.44 (n/s) Benign Prostate Hyperplasia (BPH) 13 (4.1%) 6 (3.1%) 2 (2.8%) 5 (9.6%) 0.18 (n/s) AGA = androgenetic alopecia; 5ARi = Androgen receptor inhibitors; n/s = non-significant; n/a = non-applicable *p<0.0001 vs AGA no-ARi males # p<0.0001 vs AGA-ARi males & p<0.05 vs no-5ARi users (non-AGA and AGA no-5ARi) Table 4. Medications used at regular and chronic basis by COVID-19 males. Current medications Overall males (n = 305) Non-AGA males (n = 192) AGA no-5ARi males (n = 71) AGA-5ARi (n = 52) p-value (overall) Beta-blocker 18 (5.7%) 8 (4.2%) 6 (8.5%) 4 (7.7%) 0.83 (n/s) Angiotensin converter inhibitors (ACEi) 26 (8.3%) 17 (8.9%) 4 (5.6%) 5 (9.6%) 0.91 (n/s) Angiotensin-2 receptor blockers (ARB) 54 (17.1%) 30 (15.6%) 14 (19.7%) 10 (19.2%) 0.84 (n/s) Loop diuretics 2 (0.6%) 1 (0.5%) 0 1 (1.9%) n/a Thiazide diuretics 26 (8.3%) 15 (7.8%) 7 (9.9%) 4 (7.7%) > 0.9 (n/s) Calcium channel blockers (CCB) 26 (8.3%) 13 (6.8%) 6 (8.4%) 7 (13.5%) 0.76 (n/s) K-sparing diuretics 3 (0.9%) 1 (0.5%) 2 (2.8%) 0 n/a Statins 100 (31.7%) 57 (29.7%) 18 (25.3%) 25 (48.1%) 0.072 (n/s) Other lipid lowering agents 52 (16.5%) 31 (16.1%) 12 (16.9%) 9 (17.3%) n/a Aspirin 10 (2.8%) 5 (2.6%) 2 (2.8%) 2 (3.8%) n/a Clopidogrel 3 (0.9%) 3 (2.6%) 0 0 n/a Xa factor inhibitors 12 (4.8%) 8 (4.2%) 4 (5.6%) 3 (5.8%) > 0.9 (n/s) Metformin 63 (20.0%) 36 (18.7%) 15 (21.1%) 12 (23.1%) 0.88 (n/s) Glucagon-like peptide 1 (GLP1) receptor analogues (GLP-1Ra) 21 (6.7%) 12 (6.2%) 6 (8.4%) 3 (5.8%) 0.96 (n/s) Sodium-glucose co-transporter 2 (SGLT2) inhibitors (SGLT2i) 24 (7.6%) 13 (6.8%) 6 (8.4%) 5 (9.6%) 0.94 (n/s) Di-peptyl peptidase 4 (DPP4) inhibitors (DPP4i) 15 (4.8%) 8 (4.2%) 3 (4.2%) 4 (7.7%) 0.95 (n/s) Sulfonylureas 3 (0.9%) 2 (1.0%) 0 1 (1.9%) n/a Pioglitazone 5 (1.6%) 4 (2.1%) 1 (1.4%) 0 n/a Insulin 3 (0.9%) 2 (1.0%) 1 (1.4%) 0 n/a Orlistat 31 (9.8%) 21 (10.9%) 8 (11.3%) 2 (3.8%) 0.71 (n/s) Levothyroxine 14 (4.4%) 10 (5.2%) 2 (2.8%) 2 (3.8%) 0.88 (n/s) Testosterone 23 (7.3%) 17 (8.8%) 5 (7.0%) 1 (1.9%) 0.74 (n/s) Aromatase inhibitors (anastrozole; letrozole) or Selective estrogen receptor modulators (SERMs) 5 (1.6%) 5 (2.6%) 0 0 n/a Hypnotics 23 (7.3%) 12 (6.2%) 4 (5.6%) 7 (13.5%) 0.70 (n/s) Selective serotonin reuptaker inhibitors (SSRIs) 31 (9.8%) 15 (7.8%) 6 (8.4%) 10 (19.2%) 0.44 (n/s) Other antidepressants and humor stabilizers 17 (5.4%) 9 (4.7%) 6 (8.4%) 2 (3.8%) 0.88 (n/s) Benzodiazepines 7 (2.2%) 4 (2.1%) 1 (1.4%) 2 (3.8%) > 0.9 (n/s) Atypical antipsychotics 2 (0.6%) 2 (1.0%) 0 0 n/a Central nervous system (CNS) stimulants 38 (12.1%) 23 (12.0%) 7 (9.9%) 8 (15.4%) (n/s) Alpha-1 adrenergic blockers 10 (3.2%) 5 (2.6%) 2 (2.8%) 3 (5.8%) > 0.9 (n/s) Phosphodiesterase 5 inhibitors 33 (10.5%) 17 (8.9%) 8 (11.3%) 8 (15.4%) 0.76 (n/s) Omega 3 13 (4.1%) 8 (4.2%) 2 (2.8%) 3 (5.8%) > 0.9 (n/s) Vitamin D 42 (13.3%) 23 (12.0%) 10 (14.1%) 9 (17.3%) > 0.9 (n/s) Zinc 12 (3.8%) 7 (3.6%) 4 (5.6%) 1 (1.9%) > 0.8 (n/s) Biotin 9 (2.9%) 1 (0.5%) 3 (4.2%) 5 (9.6%) 0.58 (n/s) Vitamin C 27 (8.6%) 18 (9.4%) 7 (9.9%) 2 (3.8%) > 0.9 (n/s) AGA = androgenetic alopecia; 5ARi = Androgen receptor inhibitors; n/s = non-significant; n/a = non-applicable *p<0.0001 vs AGA no-ARi males # p<0.0001 vs AGA-ARi males & p<0.05 vs no-5ARi users (non-AGA and AGA no-5ARi) Table 5. Vaccines and lifestyle. Vaccine and lifestyle Overall males (n = 305) Non-AGA males (n = 192) AGA no-5ARi males (n = 71) AGA-5ARi (n = 52) p-value (overall) Vaccine - BCG 305 (100%) 192 (100%) 71 (100%) 52 (100%) 1.0 (n/s) Vaccine – Influenza (2020) 44 (14.0%) 26 (13.5%) 11 (15.5%) 7 (13.5%) > 0.9 (n/s) Vaccine – Pneumococcal (since 2017) 34 (10.8%) 18 (9.4%) 10 (14.1%) 6 (11.5%) 0.84 (n/s) Current smoking 10 (3.2%) 6 (3.1%) 2 (2.8%) 2 (3.8%) > 0.9 (n/s) Regular physical activity 98 (31.1%) 56 (29.2%) 20 (28.2%) 22 (42.3%) 0.31 (n/s) AGA = androgenetic alopecia; 5ARi = Androgen receptor inhibitors; n/s = non-significant; n/a = non-applicable COVID-19 characterization and proposed treatment Tables 6 to 9 detail the characterization of COVID-19 and proposed treatments. Table 6 describes the rates of each cluster of clinical manifestations. Table 7 depicts the mean presence, duration, and time-to-appearance of each symptom. Table 8 describes the major drugs used as proposed anti-COVID treatments and Table 9 describes additional drugs and supplements prescribed at an individual basis. In regards with COVID-19 types of clinical presentation (Table 6), anosmia-ageusia dominance was more prevalent in non-AGA than AGA no-5ARi males. Dengue-like manifestations were more present in AGA no-5ARi than 5ARi males, and more present in 5ARi users than non-users. URTI-like symptoms were more present in non-AGA and AGA no-5ARi users than ARI-5ARi males. Mixed and unspecific presentations were similarly present in all groups. The majority of 5ARi users were either asymptomatic or presented anosmia and/or ageusia as the most remarkable or only clinical symptom. Clinical manifestations presented wide differences in terms of percentage of presence, time to appearance and duration for multiple symptoms (Table 7). In terms of percentage of male patients with COVID-19 presenting each symptom, those present in more than 50% include anosmia (68.9%) and ageusia (61.2%). Those presented in between one quarter and half of COVID-19 males include headache (37.5%), hyporexia (37.5%), fatigue (35.2%), dry cough (35.2%), fever or “feverish” (33.9%), thoracic pain (32.4%), conjunctival hyperemia (29.5%), weakness (29.5%), nasal congestion or rhinorrhea (28.6% and myalgia (26.3%. Symptoms present in 10% to 25% of patients include “sore throat” (23.5%, “feverish” alone (22.5%), diarrhea (20.9%), dizziness (17.5%), upper back pain (14.0%) and fever alone (11.4%). Symptoms present in less than 10% but in a non-negligeble number of patients include arthralgia (9.2%), shortness of breath (6.3%), “sinusitis” (6.3%), nauseas (5.7%). lower back pain (4.1%), abdominal pain (4.1%) and pre-orbital pain (3.5%). Symptoms that appeared earlier in COVID-19 (< 1.6 day from the first symptom; in days) include nasal congestion or rhinorrhea – 1.0 ± 0.1, nauseas – 1.3 ± 0.7, pre-orbital pain – 1.3 ± 0.6, “feverish” – 1.4 ± 0.8, fever – 1.4 ± 0.7, arthralgia – 1.4 ± 0.6 , abdominal pain – 1.4 ± 0.7, dizziness – 1.5 ± 0.9, weakness – 1.5 ± 0.9, conjunctival hyperemia – 1.6 ± 0.9, headache – 1.6 ± 0.9 , “sinusitis” – 1.6 ± 0.8, fatigue – 1.6 ± 0.9 and myalgia – 1.6 ± 0.9. Later symptoms (> 3.5 days since first symptom) include anosmia – 3.8 ± 1.4, ageusia – 3.9 ± 1.4 and shortness of breath – 4.4 ± 1.1 (Table 7). At least in patients treated for COVID-19 (Table 7), symptoms with lower duration (< 3.1 days) include dizziness – 1.7 ± 1.0, shortness of breath – 2.3 ± 0.9, arthralgia – 2.5 ± 1.2, abdominal pain – 2.6 ± 1.3, nauseas – 2.8 ± 1.2, “feverish” – 2.9 ± 1.3, fever – 3.1 ± 1.4 and weakness – 3.1 ± 2.2. Symptoms with intermediate duration (3.1 to 5 days) include diarrhea – 3.2 ± 1.9, myalgia – 3.6 ± 1.8, pre-orbital pain – 3.6 ± 1.6, lower back pain – 3.9 ± 1.5, nasal congestion or rhinorrhea – 4.0 ± 2.0, hyporexia – 4.3 ± 2.0, thoracic pain – 4.3 ± 2.2, upper back pain – 4.3 ± 1.8 and conjunctival hyperemia – 4.9 ± 2.1. Symptoms that persist for longer periods of time (> 5 days) include dry cough – 5.3 ± 2.4 , headache – 5.5 ± 2.4, “sore throat” – 5.5 ± 1.9, “sinusitis” – 7.2 ± 2.6, ageusia – 7.4 ± 5.1, anosmia – 7.9 ± 5.5 and fatigue – 8.4 ± 4.6. Besides being highly heterogeneous, rate, duration and time-to-appearance of symptoms varied particularly according to the presence of male AGA and use of dutasteride. Among 5ARi users, fever, shortness of breath, “sinusitis”, dizziness, myalgia, arthralgia, thoracic pain, lower back pain were absent, while only one patient presented “feverish”, nasal congestion or rhinorrhea, “sore throat”, fatigue, weakness, upper back pain, nauseas, vomiting, abdominal pain and pre-orbital pain, and two patients that presented headache, dry cough, diarrhea and conjunctival hyperemia (Table 7). The only symptoms that were not negligeable among 5ARi users were anosmia and ageusia. In common, all symptoms were significantly less present in AGA-ARi males compared to non-AGA, AGA no-ARi, and overall ARi males, except for nauseas, vomiting, abdominal pain, and pre-orbital pain, since these were also present in very few patients in all groups. Because of the lack of symptomatology, except for anosmia and ageusia, time of appearance and duration were only feasible to be compared between non-AGA and AGA no-5ARi males (Table 7). Fever was present in similar patterns between non-AGA and AGA no-5ARi males. Although presence of feeling of fever with no fever confirmed (“feverish”) was also similar between these two groups, in non-AGA males duration was slightly but significantly lower than AGA no-5ARi. Nasal congestion and rhinorrhea had the same patterns and difference in terms of duration compared to “feverish”. Non-AGA had less and lower duration of headache than AGA no-5ARi males, while time to appearance was similar between them. Shortness of breath had similar presence rate, time to appearance and duration between non-AGA and AGA no-5ARi males. Anosmia was present in a similar percentage of non-AGA and AGA no-5ARi males, and more present in these two groups than in 5ARi users. Time to appearance and duration of anosmia was significantly higher in AGA no-5ARi than non-AGA and AGA-5ARi, and significantly higher in non-AGA than AGA-5ARi males. Ageusia had identical features than anosmia in terms of presence, time to appearance and duration, when compared to anosmia, and when compared between groups. Dry cough was more present and had longer duration in AGA no-5ARi than non-AGA males, while time to appearance was similar between them. Self-reported perception of “sinusitis” and “sore throat” was equally present in non-AGA and AGA no-5ARi males, developed with similar intervals between them, whereas duration of both was longer in the AGA no-5ARi group. Dizziness was present at similar extent and duration between non-AGA and AGA no-5ARi males. Conversely, fatigue was more present and persisted for longer periods in AGA no-5ARi compared to non-AGA, while weakness was equally present but had longer duration in AGA no-5ARi males. Myalgia affected more severely AGA no-5ARi than non-AGA males, in terms of presence and duration. Arthralgia was more present in AGA no-5ARi males, but had similar time-to-appearance and duration than non-AGA. Thoracic, upper back, and lower back pain affected a higher percentage of AGA no-5ARi than non-AGA males, and had similar time-to-appearance and duration between them, except for a slightly higher time until appearance in non-AGA males. Diarrhea, nauseas, vomiting, and abdominal pain were present in similar percentage and had similar duration between non-AGA and AGA no-ARi males. Conjunctival hyperemia was more commonly present and lasted for longer periods in AGA no-5ARi, compared to non-AGA males, while pre-orbital pain was similarly present between these groups. In regards with proposed therapeutical options for COVID-19, all patients received azithromycin. Nitazoxanide was associated in 72.4%, at higher percentage of males from the non-AGA and AGA no-5ARi groups, compared to 5ARi users. Hydroxychloroquine and ivermectin were prescribed for 21.6% and 14.6% of patients, respectively, equally between groups. Among non-chronic 5ARi users, dutasteride was significantly more used in AGA than non-AGA males, while spironolactone was used in similar proportions (Table 8). There were no significant differences between the percentage of patients treated with any additional drugs of supplements for COVID-19. Warfarin, acetylsalicylic acid (ASA), bromhexine, N-acetyl-cysteine and colchicine have not been added as therapies for COVID-19 to any, or until to two patients. Table 6. Clinical clustering Clinical clustering Overall males (n = 305) Non-AGA males (n = 192) AGA no-5ARi males (n = 71) AGA-5ARi (n = 52) p-value (overall) Anosmia-Ageusia dominance (p-value) 69 (21.9%) 56 (29.2%) (p=0.01 vs AGA no-ARi) (n/s (0.082) vs AGA-5ARi) 6 (8.5%) (n/s vs AGA-5ARi) 7 (13.5%) (n/s vs no-5ARi) < 0.0001 Dengue-like (p-value) 56 (17.8%) 36 (18.7%) (n/s vs AGA no-ARi) (n/s (p=0.063) vs AGA-5ARi) 19 (26.8%) (p=0.019 vs AGA-5ARi) 1 (1.9%) (p=0.035 vs no-5ARi) 0.003 URTI-like (p-value) 102 (32.4%) 66 (34.4%) (n/s (p=0.063) vs AGA no-ARi) (p=0.0003 vs AGA-5ARi) 35 (49.3%) (p<0.0001 vs AGA-5ARi) 1 (1.9%) (p<0.0001 vs no-5ARi) < 0.0001 GI infection-like (p-value) 24 (7.6%) 14 (7.3%) (n/s vs AGA no-ARi) (n/s vs AGA-5ARi) 9 (12.7%) (n/s vs AGA-5ARi) 1 (1.9%) (n/s vs no-5ARi) 0.082 (n/s) Mixed (p-value) 22 (7.6%) 13 (6.8%) (n/s vs AGA no-ARi) (n/s vs AGA-5ARi) 9 (15.5%) (n/s vs AGA-5ARi) 0 (n/s vs no-5ARi) 0.32 (n/s) Unspecific (p-value) 35 (11.1%) 23 (12.0%) (n/s vs AGA no-ARi) (n/s vs AGA-5ARi) 12 (16.9%) (n/s vs AGA-5ARi) 0 (n/s vs no-5ARi) 0.011 Asymptomatic (p-value) 51 (16.2%) 9 (4.7%) (n/s vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 0 (p<0.0001 vs AGA-5ARi) 42 (80.8%) (p<0.0001 vs no-5ARi) < 0.0001 URTI = Upper respiratory tract infection; GI = Gastrointestinal; AGA = androgenetic alopecia; 5ARi = Androgen receptor inhibitors; n/s = non-significant; n/a = non-applicable Table 7. Clinical manifestations in COVID-19: presence (%), time-to-appearance and duration. Clinical manifestations Overall males (n = 305) Non-AGA males (n = 192) AGA no-5ARi males (n = 71) AGA-5ARi (n = 52) p-value (overall) Fever Presence (%) (p-value ) 36 (11.4%) 22 (11.5%) (n/s vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 14 (19.7%) (p<0.0001 vs AGA-5ARi) 0 (p<0.0001 vs no-5ARi) < 0.0001 Time to appearance (days) (p-value ) 1.4 ± 0.7 1.4 ± 0.7 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 1.4 ± 0.7 (n/a vs AGA-5ARi) 0 (n/a vs no-5ARi) n/a Duration (days) (p-value ) 3.1 ± 1.4 3.1 ± 1.4 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 3.0 ± 1.4 (n/a vs AGA-5ARi) 0 (n/a vs no-5ARi) n/a “Feverish” Presence (%) (p-value ) 71 (22.5%) 45 (23.4%) (n/s vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 25 (35.2%) (p<0.0001 vs AGA-5ARi) 1 (1.9%) (p<0.0001 vs no-5ARi) < 0.0001 Time to appearance (days) (p-value ) 1.4 ± 0.8 1.4 ± 0.9 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 1.2 ± 0.5 (n/a vs AGA-5ARi) 2 (n/a vs no-5ARi) n/a Duration (days) (p-value ) 2.9 ± 1.3 2.5 ± 1.3 (0.002 vs AGA no-ARi) (n/a vs AGA-5ARi) 3.5 ± 1.2 (n/a vs AGA-5ARi) 2 (n/a vs no-5ARi) n/a Nasal congestion or rhinorrhea Presence (%) (p-value ) 90 (28.6%) 64 (33.3%) (n/s vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 25 (35.2%) (p<0.0001 vs AGA-5ARi) 1 (1.9%) (p<0.0001 vs no-5ARi) < 0.0001 Time to appearance (days) (p-value ) 1.0 ± 0.1 1.0 ± 0.0 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 1.0 ± 0.2 (n/a vs AGA-5ARi) 1 ( n/a vs no-5ARi) n/a Duration (days) (p-value ) 4.0 ± 2.0 3.8 ± 2.0 (0.032 vs AGA no-ARi) (n/a vs AGA-5ARi) 4.7 ± 1.9 (n/a vs AGA-5ARi) 3 (n/a vs no-5ARi) n/a Headache Presence (%) (p-value ) 118 (37.5%) 70 (36.5%) (p=0.0004 vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 46 (64.8%) (p<0.0001 vs AGA-5ARi) 2 (3.8%) (p<0.0001 vs no-5ARi) < 0.0001 Time to appearance (days) (p-value ) 1.6 ± 0.9 1.6 ± 0.9 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 1.6 ± 1.0 (n/a vs AGA-5ARi) 1.5 ± 0.5 (1;2) (n/a vs no-5ARi) n/a Duration (days) (p-value ) 5.5 ± 2.4 5.0 ± 2.1 (p<0.0001 vs AGA no-ARi) (n/a vs AGA-5ARi) 6.2 ± 2.8 (n/a vs AGA-5ARi) 3.5 ± 0.5 (3;4) (n/a vs no-5ARi) n/a Shortness of breath Presence (%) (p-value ) 20 (6.3%) 10 (5.2%) (n/s vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 10 (14.1%) (p<0.0001 vs AGA-5ARi) 0 (p<0.0001 vs no-5ARi) 0/1 Time to appearance (days) (p-value ) 4.4 ± 1.1 4.2 ± 1.0 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 4.6 ± 1.2 (n/a vs AGA-5ARi) 0 (n/a vs no-5ARi) n/a Duration (days) (p-value ) 2.3 ± 0.9 2.3 ± 0.8 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 2.2 ± 1.1 (n/a vs AGA-5ARi) 0 (n/a vs no-5ARi) n/a Anosmia Presence (%) (p-value ) 217 (68.9%) 147 (76.6%) (n/s vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 63 (88.7%) (p<0.0001 vs AGA-5ARi) 7 (13.5%) (p<0.0001 vs no-5ARi) < 0.0001 Time to appearance (days) (p-value ) 3.8 ± 1.4 3.5 ± 1.3 (p<0.0001 vs AGA no-ARi) (p=0.009 vs AGA-5ARi) 4.7 ± 1.0 (p = 0.009 vs AGA-5ARi) 2 ± 1.1 (p=0.0002 vs no-5ARi) < 0.0001 Duration (days) (p-value ) 7.9 ± 5.5 7.2 ± 4.9 (p=0.0005 vs AGA no-ARi) (p=0.012 vs AGA-5ARi) 10.1 ± 6.4 (p = 0.001 vs AGA-5ARi) 3.7 ± 1.2 (p=0.005 vs no-5ARi) < 0.0001 Ageusia Presence (%) (p-value ) 204 (61.2%) 134 (69.8%) (n/s vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 55 (77.5%) (p<0.0001 vs AGA-5ARi) 5 (9.6%) (p<0.0001 vs no-5ARi) < 0.0001 Time to appearance (days) (p-value ) 3.9 ± 1.4 3.6 ± 1.4 (p<0.0001 AGA no-ARi) (p=0.006 vs AGA-5ARi) 4.8 ± 1.0 (p=0.0003 vs AGA-5ARi) 1.6 ± 0.8 (p=0.0023 vs no-5ARi) < 0.0001 Duration (days) (p-value ) 7.4 ± 5.1 6.7 ± 4.6 (p=0.0004 vs AGA no-ARi) (p=0.008 vs AGA-5ARi) 9.5 ± 5.7 (p=0.003 vs AGA-5ARi) 3.0 ± 0.6 (p=0.0055 vs no-5ARi) 0.0001 Dry cough Presence (%) (p-value ) 111 (35.2%) 68 (35.4%) (p=0.005 vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 41 (57.7%) (p<0.0001 vs AGA-5ARi) 2 (3.8%) (p<0.0001 vs no-5ARi) < 0.0001 Time to appearance (days) (p-value ) 1.7 ± 0.9 1.6 ± 0.8 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 1.9 ± 1.0 (n/a vs AGA-5ARi) 1 ± 0 (1;1) (n/a vs no-5ARi) n/a Duration (days) (p-value ) 5.3 ± 2.4 5.0 ± 2.5 (p=0.004 vs AGA no-ARi) (n/a vs AGA-5ARi) 6.1 ± 2.1 (n/a vs AGA-5ARi) 2.5 ± 0.5 (2;3) (n/a vs no-5ARi) n/a “Sinusitis” Presence (%) (p-value ) 20 (6.3%) 12 (6.2%) (n/s vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 8 (11.3%) (p<0.0001 vs AGA-5ARi) 0 (p<0.0001 vs no-5ARi) 0.04 Time to appearance (days) (p-value ) 1.6 ± 0.8 1.5 ± 0.7 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 1.7 ± 1.0 (n/a vs AGA-5ARi) 0 (n/a vs no-5ARi) n/a Duration (days) (p-value ) 7.2 ± 2.6 5.8 ± 2.3 (p=0.0004 vs AGA no-ARi) (n/a vs AGA-5ARi) 9.0 ± 1.9 (n/a vs AGA-5ARi) 0 (n/a vs no-5ARi) n/a “Sore throat” Presence (%) (p-value ) 74 (23.5%) 50 (26.0%) (n/s vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 23 (32.4%) (p<0.0001 vs AGA-5ARi) 1 (1.9%) (p<0.0001 vs no-5ARi) < 0.0001 Time to appearance (days) (p-value ) 2.0 ± 1.0 1.9 ± 1.0 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 2.2 ± 1.2 (n/a vs AGA-5ARi) 2 (n/a vs no-5ARi) n/a Duration (days) (p-value ) 5.5 ± 1.9 5.2 ± 1.8 (p = 0.029 vs AGA no-ARi) (n/a vs AGA-5ARi) 6.3 ± 1.9 (n/a vs AGA-5ARi) 4 (n/a vs no-5ARi) n/a Dizziness Presence (%) (p-value ) 55 (17.5%) 24 (12.5%) (n/s vs AGA no-ARi) (p=0.0001 vs AGA-5ARi) 31 (43.7%) (p<0.0001 vs AGA-5ARi) 0 (p<0.0001 vs no-5ARi) < 0.0001 Time to appearance (days) (p-value ) 1.5 ± 0.9 1.5 ± 1.0 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 1.5 ± 0.9 (n/a vs AGA-5ARi) 0 (n/a vs no-5ARi) n/a Duration (days) (p-value ) 1.7 ± 1.0 1.5 ± 0.8 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 1.9 ± 1.2 (n/a vs AGA-5ARi) 0 (n/a vs no-5ARi) n/a Fatigue Presence (%) (p-value ) 87 (35.2%) 45 (23.4%) (p=0.006 vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 41 (57.7%) (p<0.0001 vs AGA-5ARi) 1 (1.9%) (p<0.0001 vs no-5ARi) < 0.0001 Time to appearance (days) (p-value ) 1.6 ± 0.9 1.6 ± 0.9 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 1.7 ± 1.0 (n/a vs AGA-5ARi) 2 (n/a vs no-5ARi) n/a Duration (days) (p-value ) 8.4 ± 4.6 7.6 ± 3.8 (p=0.033 vs AGA no-ARi) (n/a vs AGA-5ARi) 9.8 ± 5.6 (n/a vs AGA-5ARi) 6 (n/a vs no-5ARi) n/a Weakness Presence (%) (p-value ) 92 (29.5%) 61 (31.8%) (n/s vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 31 (43.7%) (p<0.0001 vs AGA-5ARi) 1 (1.9%) (p<0.0001 vs no-5ARi) < 0.0001 Time to appearance (days) (p-value ) 1.5 ± 0.9 1.5 ± 0.8 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 1.6 ± 0.9 (n/a vs AGA-5ARi) 2 (n/a vs no-5ARi) n/a Duration (days) (p-value ) 3.1 ± 2.2 2.8 ± 1.7 (p=0.031 vs AGA no-ARi) (n/a vs AGA-5ARi) 4.0 ± 2.8 (n/a vs AGA-5ARi) 1 (n/a vs no-5ARi) n/a Myalgia Presence (%) (p-value ) 83 (26.3%) 53 (27.6%) (n/s (0.072) - vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 30 (42.3%) (p<0.0001 vs AGA-5ARi) 0 (p<0.0001 vs no-5ARi) < 0.0001 Time to appearance (days) (p-value ) 1.6 ± 0.9 1.6 ± 0.8 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 1.8 ± 1.0 (n/a vs AGA-5ARi) 0 (n/a vs no-5ARi) n/a Duration (days) (p-value ) 3.6 ± 1.8 3.3 ± 1.8 (p = 0.043 vs AGA no-ARi) (n/a vs AGA-5ARi) 4.1 ± 1.6 (n/a vs AGA-5ARi) 0 (n/a vs no-5ARi) n/a Arthralgia Presence (%) (p-value ) 29 (9.2%) 13 (6.8%) (p = 0.05 vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 16 (22.5%) (p<0.0001 vs AGA-5ARi) 0 (p<0.0001 vs no-5ARi) 0.066 (n/s) Time to appearance (days) (p-value ) 1.4 ± 0.6 1.5 ± 0.6 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 1.4 ± 0.6 (n/a vs AGA-5ARi) 0 (n/a vs no-5ARi) n/a Duration (days) (p-value ) 2.5 ± 1.2 2.4 ± 0.9 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 2.6 ± 1.4 (n/a vs AGA-5ARi) 0 (n/a vs no-5ARi) n/a Hyporexia Presence (%) (p-value ) 118 (37.5%) 88 (45.8%) (n/s vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 30 (42.3%) (p<0.0001 vs AGA-5ARi) 0 (p<0.0001 vs no-5ARi) < 0.0001 Time to appearance (days) (p-value ) 1.6 ± 0.9 1.5 ± 0.9 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 1.6 ± 0.9 (n/a vs AGA-5ARi) 0 (n/a vs no-5ARi) n/a Duration (days) (p-value ) 4.3 ± 2.0 4.0 ± 1.7 (p=0.043 vs AGA no-ARi) (n/a vs AGA-5ARi) 5.1 ± 2.3 (n/a vs AGA-5ARi) 0 (n/a vs no-5ARi) n/a Thoracic pain Presence (%) (p-value ) 102 (32.4%) 72 (37.5%) (n/s vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 30 (42.3%) (p<0.0001 vs AGA-5ARi) 0 (p<0.0001 vs no-5ARi) < 0.0001 Time to appearance (days) (p-value ) 2.9 ± 1.2 2.8 ± 1.2 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 3.3 ± 1.2 (n/a vs AGA-5ARi) 0 (n/a vs no-5ARi) n/a Duration (days) (p-value ) 4.3 ± 2.2 4.1 ± 2.1 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 4.8 ± 2.3 (n/a vs AGA-5ARi) 0 (n/a vs no-5ARi) n/a Upper back pain Presence (%) (p-value ) 44 (14.0%) 22 (11.5%) (p=0.024 vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 21 (29.6%) (p<0.0001 vs AGA-5ARi) 1 (1.9%) (p<0.0001 vs no-5ARi) 0.02 Time to appearance (days) (p-value ) 2.0 ± 1.0 2.0 ± 0.9 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 2.0 ± 1.0 (n/a vs AGA-5ARi) 1 (n/a vs no-5ARi) n/a Duration (days) (p-value ) 4.3 ± 1.8 4.3 ± 1.6 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 4.4 ± 2.0 (n/a vs AGA-5ARi) 2 (n/a vs no-5ARi) n/a Lower back pain Presence (%) (p-value ) 13 (4.1%) 5 (2.6%) (n/s vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 8 (11.3%) (p<0.0001 vs AGA-5ARi) 0 (p<0.0001 vs no-5ARi) 0.48 (n/s) Time to appearance (days) (p-value ) 1.7 ± 0.9 2.0 ± 1.1 (p=0.046 vs AGA no-ARi) (n/a vs AGA-5ARi) 1.5 ± 0.7 (n/a vs AGA-5ARi) 0 (n/a vs no-5ARi) n/a Duration (days) (p-value ) 3.9 ± 1.5 4.2 ± 1.5 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 3.7 ± 1.5 (n/a vs AGA-5ARi) 0 (n/a vs no-5ARi) n/a Diarrhea Presence (%) (p-value ) 66 (20.9%) 45 (23.4%) (n/s vs AGA no-ARi) (p=0.03 vs AGA-5ARi) 19 (26.8%) (p=0.02 vs AGA-5ARi) 2 (3.8%) (p=0.03 vs no-5ARi) 0.06 (n/s) Time to appearance (days) (p-value ) 1.9 ± 1.1 1.7 ± 0.9 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 2.4 ± 1.4 (n/a vs AGA-5ARi) 1 ± 0 (1;1) (n/a vs no-5ARi) n/a Duration (days) (p-value ) 3.2 ± 1.9 2.9 ± 1.6 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 4.0 ± 2.3 (n/a vs AGA-5ARi) 3 ± 1 (2;4) (n/a vs no-5ARi) n/a Nauseas Presence (%) (p-value ) 17 (5.7%) 10 (5.2%) (n/s vs AGA no-ARi) (n/s vs AGA-5ARi) 7 (9.9%) (n/s vs AGA-5ARi) 0 (n/s vs no-5ARi) 0.55 (n/s) Time to appearance (days) (p-value ) 1.3 ± 0.7 1.4 ± 0.7 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 1.3 ± 0.7 (n/a vs AGA-5ARi) 0 (n/a vs no-5ARi) n/a Duration (days) (p-value ) 2.8 ± 1.2 2.7 ± 1.0 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 2.8 ± 1.5 (n/a vs AGA-5ARi) 0 (n/a vs no-5ARi) n/a Vomiting Presence (%) (p-value ) 1 (0.3%) 0 (n/s vs AGA no-ARi) (n/s vs AGA-5ARi) 1 (1.4%) (n/s vs AGA no-ARi) 0 (n/s vs AGA no-ARi) n/a Time to appearance (days) (p-value ) 0 (n/a vs AGA-5ARi) 2 (n/a vs AGA-5ARi) 0 (n/a vs no-5ARi) n/a Duration (days) (p-value ) 0 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 1 (n/a vs AGA-5ARi) 0 (n/a vs no-5ARi) n/a Abdominal pain Presence (%) (p-value ) 13 (4.1%) 7 (3.6%) (n/s vs AGA no-ARi) (n/s vs AGA-5ARi) 6 (8.5%) (n/s vs AGA-5ARi) 0 (n/s vs AGA-5ARi) 0.71 Time to appearance (days) (p-value ) 1.4 ± 0.7 1.4 ± 0.7 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 1.3 ± 0.7 (n/a vs AGA-5ARi) 0 (n/a vs no-5ARi) n/a Duration (days) (p-value ) 2.6 ± 1.3 2.0 ± 0.9 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 3.3 ± 1.2 (n/a vs AGA-5ARi) 0 (n/a vs no-5ARi) n/a Conjunctival hyperemia Presence (%) (p-value ) 93 (29.5%) 54 (28.1%) (p=0.002 vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 38 (53.2%) (p<0.0001 vs AGA-5ARi) 1 (1.9%) (p<0.0001 vs no-5ARi) < 0.0001 Time to appearance (days) (p-value ) 1.6 ± 0.9 1.5 ± 0.7 (n/s vs AGA no-ARi) (n/a vs AGA-5ARi) 1.8 ± 1.1 (n/a vs AGA-5ARi) 1 (n/a vs no-5ARi) n/a Duration (days) (p-value ) 4.9 ± 2.1 4.4 ± 2.0 (p=0.002 vs AGA no-ARi) (n/a vs AGA-5ARi) 5.6 ± 2.1 (n/a vs AGA-5ARi) 4 (n/a vs no-5ARi) n/a Pre-orbital pain Presence (%) (p-value ) 11 (3.5%) 8 (4.2%) (n/s vs AGA no-ARi) (n/s vs AGA-5ARi) 2 (2.8%) (n/s vs AGA-5ARi) 1 (1.9%) (n/s vs no-5ARi) 0.96 (n/s) Time to appearance (days) (p-value ) 1.3 ± 0.6 1.4 ± 0.7 (n/a vs AGA no-ARi) (n/a vs AGA-5ARi) 1 (1;1) (n/a vs AGA-5ARi) 1 (n/a vs no-5ARi) n/a Duration (days) (p-value ) 3.6 ± 1.6 4.1 ± 1.6 (n/a vs AGA no-ARi) (n/a vs AGA-5ARi) 2.5 ± 0.5 (2;3) (n/a vs AGA-5ARi) 2 (n/a vs no-5ARi) n/a No-5ARi = AGA no 5ARi + non-AGA groups; AGA = androgenetic alopecia; 5ARi = Androgen receptor inhibitors; n/s = non-significant; n/a = non-applicable Table 8. Drugs prescribed for COVID-19. Medications (+ azithromycin) Overall males (n = 305) Non-AGA males (n = 192) AGA no-5ARi males (n = 71) AGA-5ARi (n = 52) p-value (overall) Hydroxichloroquine 68 (21.6%) 42 (21.9%) 10 (14.1%) 16 (30.8%) 0.082 (n/s) Nitazoxanide 228 (72.4%) 141 (74.4%) * # 58 (81.7%) # 29 (55.8%) & 0.0006 Ivermectin 46 (14.6%) 30 (15.6%) 7 (9.9%) 9 (17.3%) 0.29 (n/s) Dutasteride 69 (21.9%**) 40 (20.8%)* 29 (40.8%) n/a 0.001 Spironolactone 31 (9.8%**) 19 (9.9%) 12 (16.9%) 0 0.17 (n/s) AGA = androgenetic alopecia; 5ARi = Androgen receptor inhibitors; n/s = non-significant; n/a = non-applicable *p<0.05 vs AGA no-ARi males # p<0.05 vs AGA-ARi males & p<0.05 vs no-5ARi users (non-AGA and AGA no-5ARi) **Not including AGA-5ARi users Table 9. Additional drugs and supplements used to treat COVID-19. Additional drugs or supplements Overall males (n = 305) Non-AGA males (n = 192) AGA no-5ARi males (n = 71) AGA-5ARi (n = 52) p-value (overall) Xa factor inhibitors 34 (10.8%) 22 (11.5%) 9 (12.7%) 3 (5.8%) 0.78 (n/s) Enoxaparin 19 (6.0%) 10 (5.2%) 9 (12.7%) 0 0.46 (n/s) Glucocorticoids 20 (6.3%) 11 (5.7%) 9 (12.7%) 0 0.47 (n/s) Vitamin C 43 (13.6%) 16 (22.5%) 3 (5.8%) 3 (5.8%) 0.26 (n/s) Zinc 46 (14.6%) 26 (13.5%) 16 (22.5%) 4 (7.7%) 0.32 (n/s) Vitamin D 268 (88.2%) 174 (90.6%) 51 (85.9%) 43 (82.7%) 0.63 (n/s) AGA = androgenetic alopecia; 5ARi = Androgen receptor inhibitors; n/s = non-significant COVID-19 course and outcomes Tables 10 to 15 depict COVID-19 course and outcomes. Table 10 shows the average time-to-treat and the speed of COVID-19 resolution. Table 11 depicts the course of the clinical manifestations in COVID-19. Table 12 depicts the scores from the WHO COVID Ordinal Outcomes. Table 13 describes the mean loss of capacity for everyday activities. Table 14 describes the level of lung injury through radiology. Table 15 summarizes the rates of disease progression. As shown in Table 10, time-to-treat was significantly lower in AGA-5ARi, compared to non-AGA and AGA no-5ARi males, which remained significant after adjustment for only symptomatic patients. Duration of positive rtPCR-SARS-CoV-2, symptoms with or without anosmia and ageusia were significantly lower in 5ARi users compared to non-AGA, AGA no-5ARI, and overall non-users, and were lower in non-AGA compared to AGA no-5ARi males. As depicted in Table 11, because 82.7% of 5ARi users remained asymptomatic throughout the COVID-19 infection, this group had significantly lower clinical manifestations compared to non-AGA, AGA no-5ARi and overall no-ARi users between seven days before until seven days after the beginning of treatment. AGA no-5ARi had slower although not milder progression of symptoms, which may justify why this group was more affected since Days -7 to -4. Non-AGA remained significantly less affected by COVID-19 manifestations than AGA no-5ARi males between Days 0 and 7. AGA no-5ARi had similar speed of improvement compared to non-AGA. Following the World Health Organization (WHO) COVID Ordinal Outcomes, AGA-5ARi group had lower scores than non-AGA, AGA no-5ARi, and overall no-5ARi users in Day 0. Conversely, at Day 7, AGA no-5ARi males had higher scores than non-AGA and AGA-5ARi groups, while these were similar between them. From Day 14 to Day 60, groups became similar. In none of the days any patient progressed to Stages 3 to 5. Table 12 details clinical outcomes according to the WHO COVID Ordinal Outcomes. In regards with the ability to perform everyday activities in an independent manner (Table 13), 5ARi users had lower loss of ability to perform everyday activities compared to non-AGA, AGA no-5ARi, and overall no-5ARi users, in Days 0 and 3, while these differences remitted from Day 7 to Day 30. Non-AGA males had lower loss of ability for everyday activities compared to AGA no-5ARi in Days 0 and 3. Overall, 5ARi users had no loss of ability to perform activities independently, while approximately 10% and 25% of the capacity was lost in average for non-AGA and AGA no-5ARi males, respectively. Inability to perform everyday activities at Days 3, 7, 14 and 30 among AGA no-5ARi males were similar to Days 0, 3, 7 and 14 in non-AGA males, respectively. It means that the average loss of ability was similar between Day 3 in AGA no-5ARi males and Day 0 in non-AGA males, between Day 7 in AGA no-5ARi males and Day 3 in non-AGA males, between Day 14 in AGA no-5ARi males and Day 7 in non-AGA males, and between Day 30 in AGA no-5ARi males and Day 14 in non-AGA males. In terms of chest computerized tomography (CT) scan (Table 14), AGA-5ARi males had significantly less compromised lungs compared to non-AGA, AGA no-5ARi, and overall males, in Days 0 and 7 (Days 14 and 30 had insufficient number of patients for comparison purposes). Non-AGA males had less affected lungs compared to AGA no-5ARi at all times (Table 14). In terms of radiological progression, of 116 that underwent at least two CT scans, one (0.9%) had progression of lung lesion from the first to the second CT scan. More important improvement was observed between Days 0 and 7 for 5ARi users, between Days 7 and 14 for non-AGA males, and between Days 14 and 21 for AGA no-5ARi males. As shown in Table 15, all 305 patients remained in zero score in the Brescia Respiratory Severity Scale, and none of the patients required hospitalization, mechanical ventilation, or need of noradrenaline or dopamine, or died. Table 10. COVID-19 clinical outcomes. Clinical clustering Overall males (n = 305) Non-AGA males (n = 192) AGA no-5ARi males (n = 71) AGA-5ARi (n = 52) p-value (overall) Time-to-treat (p-value) 2.8 ± 1.8 3.0 ± 1.6 (p<0.0001 vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 4.0 ± 1.3 (p<0.0001 vs AGA-5ARi) 0.4 ± 1.1 (Median = 0; 95%CI = 0.3) (p<0.0001 vs no-5ARi) (p < 0.001 vs no-5ARi after adjustment for only symptomatic patients) < 0.0001 Duration of positive rtPCR (days) (p-value) 13.9 ± 5.9 14.0 ± 5.16 ( p<0.0001 vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 17.8 ± 6.2 (p<0.0001 vs AGA-5ARi) 8.2 ± 3.0 (p<0.0001 vs no-5ARi) (p = 0.002 vs no-5ARi after adjustment for only symptomatic patients) < 0.0001 Remission not including anosmia (days) (without (p-value) 5.7 ± 4.5 5.9 ± 3.7 p<0.0001 vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 8.8 ± 4.7 (p<0.0001 vs AGA-5ARi) 0.7 ± 1.6 (Median = 0; 95%CI = 0.4) (p<0.0001 vs no-5ARi) (p < 0.0001 vs no-5ARi after adjustment for only symptomatic patients) < 0.0001 Remission including anosmia (days) (without (p-value) 9.1 ± 7.2 9.4 ± 6.0 (p<0.0001 vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 14.2 ± 7.3 (p<0.0001 vs AGA-5ARi) 0.9 ± 2.0 (Median = 0; 95%CI = 0.6) (p<0.0001 vs no-5ARi) (p < 0.001 vs no-5ARi after adjustment for only symptomatic patients) < 0.0001 Table 11. COVID-19 course. Clinical evolution Overall males (n = 305) Non-AGA males (n = 192) AGA no-5ARi males (n = 71) AGA-5ARi (n = 52) p-value (overall) Days -7 to -4 (p-value) 88.2 ± 29.7 (Median = 100; 95%CI = 3.3) (84.1% asymptomatic) 88.8 ± 29.3 (Median = 100; 95%CI = 4.1) [165 (85.9%) asymptomatic] (p=0.03) vs AGA no-ARi) (n/s vs AGA-5ARi) 78.1 ± 37.1 (Median = 100; 95%CI = 8.6) [48 (67.6%) asymptomatic] (p=0.002 vs AGA-5ARi) 100.0 ± 0 (Median = 100; 95%CI = 0) [52 (100%) asymptomatic] (p=0.03 vs no-5ARi) 0.008 Days -3 to -1 (p-value) 39.6 ± 42.7 (Median = 10; 95%CI = 4.7) (30.5% asymptomatic) 34.4 ± 40.5 (Median = 10; 95%CI = 5.7) [46 (24.0%) asymptomatic] (n/s vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 20.4 ± 28.0 (Median = 10; 95%CI = 6.5) [6 (8.4%) asymptomatic] (p<0.0001 vs AGA-5ARi) 85.0 ± 35.2 (Median = 100; 95%CI = 9.6) [44 (84.6%) asymptomatic (p<0.0001 vs no-5ARi) < 0.0001 Day 0 (p-value) 32.7 ± 38.9 (Median = 10; 95%CI = 4.3) (18.3% asymptomatic) 24.5 ± 33.8 (Median = 10; 95%CI = 4.8) [16 (8.3%) asymptomatic] (n/s vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 15.1 ± 14.4 (Median = 10; 95%CI = 3.3) [0 (0%) asymptomatic] (p<0.0001 vs AGA-5ARi) 87.1 ± 31.9 (Median = 100; 95%CI = 8.7) [43 (82.7%) asymptomatic] (p<0.0001 vs no-5ARi) < 0.0001 Day 1 (p-value) 52.7 ± 36.3 (Median = 50; 95%CI = 4.0) (19.4% asymptomatic) 48.8 ± 34.6 (Median = 45; 95%CI = 4.9) [17 (8.9%) asymptomatic] ( p=0.021 vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 36.6 ± 26.5 (Median = 40; 95%CI = 6.2) [1 (1.4%) asymptomatic] (p<0.0001 vs AGA-5ARi) 88.8 ± 29.8 (Median = 100; 95%CI = 8.1) [43 (82.7%) asymptomatic] (p<0.0001 vs no-5ARi) < 0.0001 Day 2 (p-value) 71.3 ± 31.2 (Median = 90; 95%CI = 3.4) (25.4% asymptomatic) 67.7 ± 32.4 (Median = 90; 95%CI = 4.6) [29 (15.1%) asymptomatic] ( p=0.032 vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 61.9 ± 26.9 (Median = 60; 95%CI = 6.3) [4 (5.6%) asymptomatic] (p<0.0001 vs AGA-5ARi) 97.3 ± 6.9 (Median = 100; 95%CI = 3.8) [47 (90.4%) asymptomatic] (p<0.0001 vs no-5ARi) < 0.0001 Day 3 (p-value) 83.2 ± 23.6 (Median = 90; 95%CI = 2.6) (35.9% asymptomatic) 81.4 ± 25.7 (Median = 90; 95%CI = 3.6) [58 (30.2%) asymptomatic] ( p=0.0007 vs AGA no-ARi) (p<0.0001 vs AGA-5ARi) 76.8 ± 20.3 (Median = 80; 95%CI = 4.7) [5 (7.0%) asymptomatic] (p<0.0001 vs AGA-5ARi) 98.9 ± 6.9 (Median = 100; 95%CI = 1.8) [50 (96.2%) asymptomatic] (p<0.0001 vs no-5ARi) < 0.0001 Day 7 (p-value) 95.5 ± 10.5 (Median = 100; 95%CI = 1.2) (72.7% asymptomatic) 95.7 ± 10.9 (Median = 100; 95%CI = 1.5) [143 (74.5%) asymptomatic] ( p=0.0004 vs AGA no-ARi) (p=0.005 vs AGA-5ARi) 91.5 ± 11.6 (Median = 95; 95%CI = 2.7) [34 (47.9%) asymptomatic] (p<0.0001 vs AGA-5ARi) 100.0 ± 0 (Median = 100; 95%CI = 0) [52 (100%) asymptomatic] (p=0.0002 vs no-5ARi) < 0.0001 Day 14 (p-value) 99.0 ± 4.2 (Median = 100; 95%CI = 0.5) (92.4% asymptomatic) 99.1 ± 4.5 (Median = 100; 95%CI = 0.6) [181 (94.3%) asymptomatic] (n/s vs AGA no-ARi) (n/s vs AGA-5ARi) 98.0 ± 4.8 (Median = 100; 95%CI = 1.1) [58 (81.7%) asymptomatic] (n/s vs AGA-5ARi) 100.0 ± 0 (Median = 100; 95%CI = 0) [52 (100%) asymptomatic] (n/s (p=0.083) vs no-5ARi) 0.17 (n/s) Day 21 (p-value) 99.8 ± 1.1 (Median = 100; 95%CI = 0.1) (62.8% asymptomatic) 99.8 ± 1.2 (Median = 100; 95%CI = 0.2) [187 (97.4%) asymptomatic] (n/s vs AGA no-ARi) (n/s vs AGA-5ARi) 99.6 ± 1.3 (Median = 100; 95%CI = 0.3) [66 (93.0%) asymptomatic] (n/s vs AGA-5ARi) 100.0 ± 0 (Median = 100; 95%CI = 0) [52 (100%) asymptomatic] (n/s vs no-5ARi) 1.0 (n/s) Day 30 (p-value) 99.9 ± 0.5 (Median = 100; 95%CI = 0.1) [190 (99.0%) asymptomatic] 99.9 ± 0.5 (Median = 100; 95%CI = 0.1) [190 (99.0%) asymptomatic] (n/s vs AGA no-ARi) (n/s vs AGA-5ARi) 99.9 ± 0.8 (Median = 100; 95%CI = 0.2) [69 (97.2%) asymptomatic] (n/s vs AGA-5ARi) 100.0 ± 0 (Median = 100; 95%CI = 0) [52 (100%) asymptomatic] (n/s vs no-5ARi) 1.0 (n/s) Day 60 (p-value) 100.0 ± 0 (Median = 100; 95%CI = 0) (100% asymptomatic) 100.0 ± 0 (Median = 100; 95%CI = 0) [192 (100%) asymptomatic] (n/s vs AGA no-ARi) (n/s vs AGA-5ARi) 100.0 ± 0 (Median = 100; 95%CI = 0) [71 (100%) asymptomatic] (n/s vs AGA-5ARi) 100.0 ± 0 (Median = 100; 95%CI = 0) [52 (100%) asymptomatic] (n/s vs no-5ARi) 1.0 (n/s) AGA = androgenetic alopecia; 5ARi = Androgen receptor inhibitors; n/s = non-significant; CI = confidence interval Table 12. WHO COVID-19 Ordinal Outcomes. WHO COVID Ordinal Outcomes Overall males (n = 305) Non-AGA males (n = 192) AGA no-5ARi males (n = 71) AGA-5ARi (n = 52) p-value (overall) Day 0 (p-value ) (p<0.0001 vs AGA no-ARi) (p=0.0003 vs AGA-5ARi) (p<0.0001 vs AGA-5ARi) (p<0.0001 vs no-5ARi) < 0.0001 Stage 1 199 (43.2%) 125 (65.1%) 23 (33.4%) 51 (98.0%) Stage 2 116 (36.8%) 67 (34.9%) 48 (67.6%) 1 (2.0%) Stages 3-5 0 0 0 0 Day 7 (p-value ) (p=0.021 vs AGA no-ARi) (n/s vs AGA-5ARi) (p=0.015 vs AGA-5ARi) (n/s vs no-5ARi) 0.021 Stage 1 289 (91.7%) 180 (93.8%) 57 (80.3%) 52 (100%) Stage 2 26 (8.3%) 12 (6.2%) 14 (19.7%) 0 Stages 3-5 0 0 0 0 vs Day 0 ( p- value) < 0.0001 < 0.0001 < 0.0001 1.0 (n/s) Day 14 (p-value ) (n/s vs AGA no-ARi) (n/s vs AGA-5ARi) (n/s vs AGA-5ARi) (n/s vs no-5ARi) 0.90 Stage 1 310 (98.4%) 190 (99.0%) 68 (95.8%) 52 (100%) Stage 2 5 (1.6%) 2 (1.0%) 3 (4.2%) 0 Stages 3-5 0 0 0 0 vs Day 0 ( p- value) < 0.0001 < 0.0001 < 0.0001 1.0 (n/s) vs Day 7 ( p- value) 0.17 (n/s) 0.38 (n/s) 0.11 (n/s) 1.0 (n/s) Days 30 and 60 (p-value ) (n/s vs AGA no-ARi) (n/s vs AGA-5ARi) (n/s vs AGA-5ARi) (n/s vs no-5ARi) Stage 1 305 (100%) 192 (100%) 71 (100%) 52 (100%) n/a Stage 2 0 0 0 0 n/a Stages 3-5 0 0 0 0 n/a AGA = androgenetic alopecia; 5ARi = Androgen receptor inhibitors; n/s = non-significant; CI = confidence interval Table 13. Loss of ability to perform everyday activities due to COVID-19. Loss of ability of everyday activities (%) Overall males (n = 305) Non-AGA males (n = 192) AGA no-5ARi males (n = 71) AGA-5ARi (n = 52) p-value (overall) Day 0 (p-value) 12.4 ± 19.3 (Median = 0; 95%CI = 2.1) (63.2% full functional capacity) 10.8 ± 17.2 (Median = 0; 95%CI = 2.4) [125 (65.1%) full functional capacity] ( p<0.0001 vs AGA no-ARi) (p=0.0002 vs AGA-5ARi) 25.6 ± 23.4 (Median = 20; 95%CI = 4.2) [23 (32.4%) full functional capacity] (p<0.0001 vs AGA-5ARi) 0.4 ± 2.7 (Median = 0; 95%CI = 0.7) [51 (98.1%) full functional capacity] (p<0.0001 vs no-5ARi) < 0.0001 Day 3 (p-value) 5.1 ± 12.0 (Median = 0; 95%CI = 1.3) (78.4% full functional capacity) 4.1 ± 9.7 (Median = 0; 95%CI = 1.4) [154 (80.2%) full functional capacity] ( p=0.0038 vs AGA no-ARi) (p=0.029 vs AGA-5ARi) 11.7 ± 18.0 (Median = 0; 95%CI = 4.2) [41 (57.7%) full functional capacity] (p=0.0001 vs AGA-5ARi) 0 (Median = 0; 95%CI = 0) [52 (100%) full functional capacity] (p=0.003 vs no-5ARi) 0.0002 vs Day 0 ( p- value) 0.0001 0.0024 0.0004 0.98 (n/s) Day 7 (p-value) 1.6 ± 6.4 (Median = 0; 95%CI = 0.7) (91.7% full functional capacity) 1.1 ± 4.9 (Median = 0; 95%CI = 0.7) [180 (93.8%) full functional capacity] (n/s (p=0.089) vs AGA no-ARi) (n/s vs AGA-5ARi) 4.2 ± 10.3 (Median = 0; 95%CI = 2.4) [57 (80.3%) full functional capacity] (n/s vs AGA-5ARi) 0 (Median = 0; 95%CI = 0) [52 (100%) full functional capacity] (n/s (p=0.062) vs no-5ARi) 0.12 (n/s) vs Day 0 ( p- value) < 0.0001 < 0.0001 < 0.0001 0.98 (n/s) vs Day 3 ( p- value) 0.0037 0.019 0.016 1.0 (n/s) Day 14 (p-value) 0.3 ± 2.2 (Median = 0; 95%CI = 0.2) (98.4% full functional capacity) 0.1 ± 1.0 (Median = 0; 95%CI = 0.1) [190 (98.6%) full functional capacity] (n/s vs AGA no-ARi) (n/s vs AGA-5ARi) 0.8 ± 4.4 (Median = 0; 95%CI = 1.0) [68 (95.8%) full functional capacity] (n/s vs AGA-5ARi) 0 (Median = 0; 95%CI = 0) [52 (100%) full functional capacity] (n/s (n/s vs no-5ARi) 1.0 (n/s) vs Day 0 ( p- value) < 0.0001 < 0.0001 < 0.0001 0.98 (n/s) vs Day 7 ( p- value) 0.008 0.54 (n/s) 0.11 (n/s) 1.0 (n/s) Day 30 (p-value) 0 (Median = 0; 95%CI = 0) (100% full functional capacity) 0 (Median = 0; 95%CI = 0) [192 (100%) full functional capacity] (n/s vs AGA no-ARi) (n/s vs AGA-5ARi) 0 (Median = 0; 95%CI = 0) [71 (100%) full functional capacity] (n/s vs AGA-5ARi) 0 (Median = 0; 95%CI = 0) [52 (100%) full functional capacity] (n/s vs no-5ARi) 1.0 (n/s) AGA = androgenetic alopecia; 5ARi = Androgen receptor inhibitors; n/s = non-significant; CI = confidence interval Table 14. Chest CT scan. Chest CT scan (% of lungs affected) Overall males (n = 305) Non-AGA males (n = 192) AGA no-5ARi males (n = 71) AGA-5ARi (n = 52) p-value (overall) Day 0 (p-value) 21.1 ± 19.1 (Median = 17.5; 95%CI = 2.1) [30 (25.9%) normal lungs of 116 patients that performed chest CT scan in day 0] 16.0 ± 13.9 (Median = 10; 95%CI = 2.0) [15 (26.3%) normal lungs of 57 patients that performed chest CT scan in day 0] ( p<0.0001 vs AGA no-ARi) (p=0.0007 vs AGA-5ARi) 32.3 ± 20.2 (Median = 40; 95%CI = 4.7) [5 (10.9%) normal lungs of 46 patients that performed chest CT scan in day 0] (p<0.0001 vs AGA-5ARi) 2.3 ± 4.2 (Median = 0; 95%CI = 1.1) [10 (76.9%) normal lungs of 13 patients that performed chest CT scan in day 0] (p<0.0001 vs no-5ARi) < 0.0001 Day 7 (p-value) 18.8 ± 18.9 (Median = 10; 95%CI = 2.1) [19 (32.8%) normal lungs of 58 patients that performed chest CT scan in day 7] 15.3 ± 12.8 (Median = 10; 95%CI = 1.8) [5 (26.3%) normal lungs of 19 patients that performed chest CT scan in day 7] ( p=0.02 vs AGA no-ARi) (p=0.0015 vs AGA-5ARi) 29.3 ± 19.8 (Median = 25; 95%CI = 4.6) [3 (11.1%) normal lungs of 27 patients that performed chest CT scan in day 7] (p<0.0001 vs AGA-5ARi) 0.8 ± 2.8 (Median = 0; 95%CI = 0.7) [11 (91.7%) normal lungs of 12 patients that performed chest CT scan in day 7] (p<0.0001 vs no-5ARi) < 0.0001 vs Day 0 ( p- value) 0.32 (n/s) 0.091 (n/s) 0.62 (n/s) 1.0 (n/s) Day 14 (p-value) 18.6 ± 16.0 (Median = 10; 95%CI = 1.8) [16 (24.6%) normal lungs of 65 patients that performed chest CT scan in day 14] 11.1 ± 11.2 (Median = 10; 95%CI = 1.6) [14 (38.9%) normal lungs of 36 patients that performed chest CT scan in day 14] (p< 0.0001 vs AGA no-ARi) (n/a vs AGA-5ARi) 28.6 ± 16.2 (Median = 25; 95%CI = 3.8) [2 (7.1%) normal lungs of 28 patients that performed chest CT scan in day 14] (n/a) 10 (01 patient that performed chest CT scan in day 14) (n/a) n/a vs Day 0 ( p- value) 0.15 (n/s) 0.12 (n/s) 0.45 (n/s) 1.0 (n/s) vs Day 7 ( p- value) 0.21 (n/s) 0.28 (n/s) 0.85 (n/s) 1.0 (n/s) Day 30 (p-value) 19.1 ± 13.0 (Median = 17.5; 95%CI = 1.4) [4 (12.5%) normal lungs of 32 patients that performed chest CT scan in day 30] 10.0 ± 7.9 (Median = 10; 95%CI = 1.1) [3 (25.0%) normal lungs of 12 patients that performed chest CT scan in day 30] (p=0.004 vs AGA no-ARi) (n/a vs AGA-5ARi) 24.5 ± 12.4 (Median = 25; 95%CI = 2.9) [1 (5.0%) normal lungs of 20 patients that performed chest CT scan in day 30] (n/a) No patients performed chest CT scan in day 30 (n/a) n/a vs Day 0 ( p- value) 0.41 (n/s) 0.27 (n/s) 0.13 (n/s) 1.0 (n/s) vs Day 7 ( p- value) 0.44 (n/s) 0.36 (n/s) 0.51 (n/s) 1.0 (n/s) vs Day 14 ( p- value) 0.70 (n/s) 0.97 (n/s) 0.38 (n/s) 1.0 (n/s) Table 15. COVID-19 progression outcomes. Disease progression outcomes Overall males (n = 305) Non-AGA males (n = 192) AGA no-5ARi males (n = 71) AGA-5ARi (n = 52) p-value (overall) Brescia COVID-19 Respiratory Severity Scale (0-4) 0 0 0 0 1.00 (n/s) Hospitalization 0 0 0 0 1.00 (n/s) Mechanical ventilation 0 0 0 0 1.00 (n/s) Noradrenaline/dopamine 0 0 0 0 1.00 (n/s) Death 0 0 0 0 1.00 (n/s) Discussion The importance of clinical characterization during early COVID-19 To our knowledge, this is the first thorough characterization of COVID-19 in its earlier stages. The improvement on the knowledge regarding COVID-19 clinical characteristics and course is essential for earlier detection and more successful pharmacological antiviral approaches, that can eventually lead to decreased need for hospitalization, mechanical ventilation, and other complications. The large heterogeneity of clinical manifestations among infected patients and the insistent requirement for the presence of fever as a sign of suspected COVID-19 are probably the major reasons for the persistent lack of an accurate characterization of how patients behave clinically during the first stage of COVID-19 (11-13). Indeed, when actively questioned, unspecific symptoms that patients tend to underestimate are actually key signs for an early diagnosis of COVID-19. During the present prospective study, four clinical clusters of COVID-19 manifestations have been identified: anosmia-Ageusia dominance, dengue-like, URTI-like, and GI infection-like clinical presentation, besides those cases that mix two or more of these clusters, or only present unspecific symptoms, such as fever or headache. Baseline characteristics, diseases that could lead to worse outcomes in COVID-19 and use of drug classes that could attenuate or aggravate COVID-19 presentation were similar between groups, which hampers from population selection bias for the present analysis. The slightly lower choice for hydroxychloroquine in the AGA group may be due to the apparent higher prevalence of cardiovascular and metabolic diseases in this group, as a clinical attempt to avoid cardiovascular adverse effects from its use. Since all other drugs, including the additional ones, were used at a similar extent between groups, differences in terms of COVID-19 progression cannot be justified by these differences. In terms of therapies prescribed as additional approaches aiming to provide a more comprehensive protection, Xa factor inhibitors tended to be given to intermediate whereas enoxaparin was given to patients at high risk of developing thrombosis, although these anticoagulants were prescribed at a subjective, clinical judgement basis. Since time-to-treat was higher among higher-risk patients, partially due to the slower progression and longer period until appearance of anosmia or ageusia, patients under enoxaparin were coincidently prescribed with glucocorticoids. Although both anticoagulants and glucocorticoids could decrease disease progression and duration, they were insufficient to equalize these characteristics to patients at lower risk. However, although uncertain, it is possible that the use of these drug classes before seven days of disease may have contributed to the lack of progression to hospitalization and other more severe outcomes. A thorough description of the patients’ medical history and a complete characterization of the COVID-19 presentation are critical for an accurate analysis of the predictions, and to provide a more appropriate and accurate therapeutic approach. COVID-19 course and severity Overall, in regards with clinical manifestations, mean time to appearance of symptoms were less different compared to duration. Disease duration was notably higher in AGA males not treated with dutasteride, in accordance with literature (5,6,14,16,17), whereas the chronic use of dutasteride likely prevented the appearance of symptoms in almost all patients, possibly due to its indirect inhibitory effects on the expression of TMPRSS-2, a protein that facilitates the SARS-CoV-2 entry in the cells. This is in full correspondence with recent literature on dutasteride ability to diminish severe COVID-19 in hospitalized patients (18). Whether this is applicable for finasteride, another drug of the same class as dutasteride, is uncertain, although unlikely, due to the narrower actions of finasteride, compared to dutasteride. If one considers that dutasteride exerted an important role in COVID-19 attenuation, the larger use of dutasteride in AGA no-5ARi patients compared to non-AGA when COVID-19 was diagnosed could have attenuated the differences in disease severity and duration between these groups. Although differences between non-AGA and AGA no-5ARicould have been more pronounced in case dutasteride had not been used, differences still remained, which demonstrates that benefits provided by dutasteride are at least partially due to its chronic and more structural effects. Although it is unlikely that there were differences between hydroxychloroquine, nitazoxanide or ivermectin, these treatments will be compared in a specific head-to-head comparison analysis. Unlike dutasteride, spironolactone seems to have provided additional benefits, even when prescribed after COVID-19 diagnosis, at least when diagnosed early, which meets corresponding rationale and clinical observations (19-21), although specific analyses and an RCT is currently ongoing to confirm this finding. Clinical recovery speed became noticeably quicker after Day 1 of treatment, regardless of the time-to-treat and drug combination offered, which reinforces the hypothesis on the efficacy of the use of early treatments for COVID-19. Compared to other groups, AGA no-5ARi had slower clinical course, although not milder progression of symptoms until diagnosis of COVID-19, which may justify why this group was more affected since Days -7 to -4. While disease duration was shorter in non-AGA, the speed of clinical recovery was similar between AGA no-5ARi and non-AGA, probably because AGA males experimented a longer period of clinical manifestations until treatment began (longer time-to-treat). When summed, the pre- and post-treatment initiation periods were longer in AGA no-5ARi males. Although time-to-treat was apparently correlated with duration of manifestations in a linear manner, at least among our patients, any delay in the initiation of one of the proposed anti-COVID therapies did not affect the ability to prevent hospitalization. The lack of correlation between clinical and radiological improvements may be due to the extensively described persistence of the imaging of compromised lungs for several weeks after COVID-19. The current prevailing criteria used for COVID-19 severity, including WHO COVID Scale and Brescia Respiratory Scale, were found to be inappropriate as being the only scales to be employed for studies in patients in early COVID-19. Comparison with current literature Overall, when compared to current literature on COVID-19 clinical characterization of COVID-19, the percentages of each symptom described in the present study were similar. However, unusual or less noticed symptoms, including diarrhea and myalgia, that only recently have been reported as possible presentations of COVID-19, were present in a substantial number of patients (24-27). The rate and speed of recovery were overwhelmingly better compared to untreated patients with similar characteristics. Indeed, our previous interim analysis of the present prospective observational study demonstrated the undisputable differences (11-13;24;25), which precluded us from performing a full placebo-control study in our RCT. Final discussion This is a comprehensive prospective observational study that evaluated different aspects of COVID-19 in males, as well as its clinical course when diagnosed and treated early. AGA males presented larger number, more severe, and longer symptom duration, and prolonged period of time until COVID-19 clinical and laboratorial remission, compared to non-AGA males. However, the chronic use of dutasteride seemed not only seemed to completely mitigate the additional risk of AGA in males, but also to decrease COVID-19 severity to levels substantially lower than non-AGA males. The early use of medications proposed as being effective for COVID-19 due to their direct or indirect antiviral therapy, at least in patients diagnosed during the first stage of the disease, has demonstrated indisputable improved COVID-19 related clinical outcomes compared to the extensively described COVID-19 clinical course, and avoided the progression to more severe states, including hospitalization and mechanical ventilation, in all patients included in the present analysis. The dramatic improvement occurred in an independent manner from all major factors of higher risk for COVID-19 complications, demonstrating that obesity, comorbidities, aging and AGA as risk factors can be completely mitigated by the combination of more sensitive clinical suspect with early pharmacological approaches. Whether the earlier diagnosis of COVID-19 based on a more sensitive case-detection basis had at least a partial role in the improved outcomes compared to the literature is uncertain, although possible. The overwhelming differences indicate that full placebo control RCTs for early COVID-19 may be ethically questionable. Instead, double blind therapies with different options, or mixed open label placebo control for COVID-19 should be considered. Conclusion Males with androgenetic alopecia (AGA) presented more pronounced COVID-19 compared to non-AGA males, which was fully mitigated by chronic dutasteride use, that yielded fewer symptoms, even when compared to non-AGA males. Drug combinations between azithromycin and hydroxychloroquine, nitazoxanide, or ivermectin, for patients recently diagnosed during the first stage of COVID-19, had noticeable improved clinical outcomes and complete remission of hospitalization, at least in the population of the present study, and completely mitigated additional risks due to obesity, aging, presence of comorbidities, or AGA. Declarations Funding statements The funding of present study was fully supported by Corpometria Institute (Brasilia, DF, Brazil) and Applied Biology Inc (Irvine, CA, USA). Conflict of interest statement Authors declare no conflict of interest with any of the pharmacological interventions proposed by the present study.. References Guan W, Ni Z, Hu Y, et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med 2020; Feb 28. Hajifathalian K, Kumar S, Newberry C, et al. Obesity is associated with worse outcomes in COVID-19: Analysis of Early Data From New York City [published online ahead of print, 2020 May 29]. Obesity (Silver Spring) . 2020;10.1002/oby.22923. Kalligeros M, Shehadeh F, Mylona EK, et al. Association of Obesity with Disease Severity among Patients with COVID-19 [published online ahead of print, 2020 Apr 30]. Obesity (Silver Spring) . 2020;10.1002/oby.22859. Palaiodimos L, Kokkinidis DG, Li W, et al. Severe obesity, increasing age and male sex are independently associated with worse in-hospital outcomes, and higher in-hospital mortality, in a cohort of patients with COVID-19 in the Bronx, New York [published online ahead of print, 2020 May 16]. Metabolism . 2020;108:154262. Goren A, Vano-Galvan S, Wambier CG, et al. A preliminary observation: male pattern hair loss among hospitalized COVID-19 patients in Spain - A potential clue to the role of androgens in COVID-19 severity [published online ahead of print, 2020 Apr 16]. J Cosmet Dermatol . 2020;10.1111/jocd.13443. Goren A, McCoy J, Wambier CG, et al. What does androgenetic alopecia have to do with COVID-19? An insight into a potential new therapy [published online ahead of print, 2020 Apr 1]. Dermatol Ther . 2020;e13365. Zhou F, Yu T, Du R, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study [published online ahead of print, 2020 Mar 11] [published correction appears in Lancet. 2020 Mar 12;:]. Lancet . 2020;S0140-6736(20)30566-3. Lauer SA, Grantz KH, Bi Q, et al. The Incubation Period of Coronavirus Disease 2019 (COVID-19) From Publicly Reported Confirmed Cases: Estimation and Application [published online ahead of print, 2020 Mar 10]. Ann Intern Med . 2020;10.7326/M20-0504. Wu C, Chen X, Cai Y, et al. Risk Factors Associated With Acute Respiratory Distress Syndrome and Death in Patients With Coronavirus Disease 2019 Pneumonia in Wuhan, China [published online ahead of print, 2020 Mar 13]. JAMA Intern Med . 2020;10.1001/jamainternmed.2020.0994. Wu C, Chen X, Cai Y, et al. Risk Factors Associated With Acute Respiratory Distress Syndrome and Death in Patients With Coronavirus Disease 2019 Pneumonia in Wuhan, China [published online ahead of print, 2020 Mar 13]. JAMA Intern Med . 2020;10.1001/jamainternmed.2020.0994. https://www.who.int/teams/health-care-readiness-clinical-unit/covid-19/data-platform (Last accessed September 29th, 2020) https://www.cdc.gov/coronavirus/2019-ncov/hcp/clinical-guidance-management-patients.html (Last accessed September 29th, 2020) Stokes EK, Zambrano LD, Anderson KN, et al. Coronavirus Disease 2019 Case Surveillance - United States, January 22-May 30, 2020. MMWR Morb Mortal Wkly Rep 2020; 69:759. Cadegiani, F.A. Repurposing existing drugs for COVID-19: an endocrinology perspective. BMC Endocr Disord 20, 149 (2020). https://doi.org/10.1186/s12902-020-00626-0 Pascarella G, Strumia A, Piliego C, Bruno F, Del Buono R, Costa F, Scarlata S, Agrò FE. COVID-19 diagnosis and management: a comprehensive review. J Intern Med. 2020 Aug;288(2):192-206. doi: 10.1111/joim.13091. McCoy J, Wambier CG, Herrera S, Vaño-Galván S, Gioia F, Comeche B, Ron R, Serrano-Villar S, Iwasiow RM, Tayeb MA, Cadegiani FA, Mesinkovska NA, Shapiro J, Sinclair R, Goren A. Androgen Receptor Genetic Variant Predicts COVID-19 Disease Severity: A Prospective Longitudinal Study of Hospitalized COVID-19 Male Patients. J Eur Acad Dermatol Venereol. 2020 Sep 25. Kragholm K, Andersen MP, Gerds TA, et al. Association between male sex and outcomes of Coronavirus Disease 2019 (Covid-19) - a Danish nationwide, register-based study. Clin Infect Dis 2020. Goren A, Wambier CG, Herrera S, McCoy J, Vaño-Galván S, Gioia F, Comeche B, Ron R, Serrano-Villar S, Ramos PM, Cadegiani FA, Kovacevic M, Tosti A, Shapiro J, Sinclair R. Anti-androgens may protect against severe COVID-19 outcomes: results from a prospective cohort study of 77 hospitalized men. J Eur Acad Dermatol Venereol. 2020 Sep 25. doi: 10.1111/jdv.16953. Cadegiani FA. Can spironolactone be used to prevent COVID-19-induced acute respiratory distress syndrome in patients with hypertension? Am J Physiol Endocrinol Metab. 2020 May 1;318(5):E587-E588. doi: 10.1152/ajpendo.00136.2020. Cadegiani FA, Wambier CG, Goren A. Spironolactone: An Anti-androgenic and Anti-hypertensive Drug That May Provide Protection Against the Novel Coronavirus (SARS-CoV-2) Induced Acute Respiratory Distress Syndrome (ARDS) in COVID-19. Front Med (Lausanne). 2020 Jul 28;7:453. doi: 10.3389/fmed.2020.00453. Cadegiani FA, Goren A, Wambier CG. Spironolactone may provide protection from SARS-CoV-2: Targeting androgens, angiotensin converting enzyme 2 (ACE2), and renin-angiotensin-aldosterone system (RAAS). Med Hypotheses. 2020 Jul 16;143:110112. doi: 10.1016/j.mehy.2020.110112. Machin D, Campbell MJ, Tan SB, Tan SH (2009) Sample size tables for clinical studies. 3 rd Chichester: Wiley-Blackwell. Richardson S, Hirsch JS, Narasimhan M, Crawford JM, McGinn T, Davidson KW; the Northwell COVID-19 Research Consortium, Barnaby DP, Becker LB, Chelico JD, Cohen SL, Cookingham J, Coppa K, Diefenbach MA, Dominello AJ, Duer-Hefele J, Falzon L, Gitlin J, Hajizadeh N, Harvin TG, Hirschwerk DA, Kim EJ, Kozel ZM, Marrast LM, Mogavero JN, Osorio GA, Qiu M, Zanos TP. Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area. 2020 May 26;323(20):2052-2059. doi: 10.1001/jama.2020.6775. Erratum in: JAMA. 2020 May 26;323(20):2098. https://www.uptodate.com/contents/coronavirus-disease-2019-covid-19-clinical-features?topicRef=126981&source=see_link (Last accessed September 29th, 2020) Kim GU, Kim MJ, Ra SH, Lee J, Bae S, Jung J, Kim SH. Clinical characteristics of asymptomatic and symptomatic patients with mild COVID-19. Clin Microbiol Infect. 2020 Jul;26(7):948.e1-948.e3. doi: 10.1016/j.cmi.2020.04.040. Lechien JR, Chiesa-Estomba CM, De Siati DR et al. Olfactory and gustatory dysfunctions as a clinical presentation of mild-to-moderate forms of the coronavirus disease (COVID-19): a multicenter European study. Eur Arch Otorhinolaryngol. 2020 Aug;277(8):2251-2261. doi: 10.1007/s00405-020-05965-1. Tong JY, Wong A, Zhu D, Fastenberg JH, Tham T. The Prevalence of Olfactory and Gustatory Dysfunction in COVID-19 Patients: A Systematic Review and Meta-analysis. Otolaryngol Head Neck Surg. 2020 Jul;163(1):3-11. doi: 10.1177/0194599820926473. Cite Share Download PDF Status: Posted Version 2 posted You are reading this latest preprint version Show more versions Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-88952","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":3261190,"identity":"4c43019a-f16f-48a0-bb97-66ed90dc80e5","order_by":0,"name":"Flavio A Cadegiani","email":"data:image/png;base64,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","orcid":"https://orcid.org/0000-0002-2699-4344","institution":"Corpometria Institute ","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Flavio","middleName":"A","lastName":"Cadegiani","suffix":""},{"id":3261191,"identity":"d09c4083-9657-4ae6-8f6a-7ea248be1203","order_by":1,"name":"Andy Goren","email":"","orcid":"","institution":"Applied Biology Inc.","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Andy","middleName":"","lastName":"Goren","suffix":""},{"id":3261192,"identity":"98881f15-87bd-41c9-9cc0-88aaf21ffe45","order_by":2,"name":"Carlos G Wambier","email":"","orcid":"","institution":"Brown University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Carlos","middleName":"G","lastName":"Wambier","suffix":""},{"id":3261193,"identity":"7cd79322-2736-4236-8e20-aad4851f3b9d","order_by":3,"name":"John McCoy","email":"","orcid":"","institution":"Applied Biology Inc.","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"John","middleName":"","lastName":"McCoy","suffix":""}],"badges":[{"type":"methods","date":"3rd of November, 2020"}],"createdAt":"2020-10-07 00:31:27","currentVersionCode":2,"declarations":{"humanSubjects":true,"vertebrateSubjects":false,"conflictsOfInterestStatement":true,"humanSubjectEthicalGuidelines":true,"humanSubjectConsent":true,"humanSubjectClinicalTrial":true,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false,"coiExplicitlySet":false},"doi":"10.21203/rs.3.rs-88952/v2","doiUrl":"https://doi.org/10.21203/rs.3.rs-88952/v2","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":3082178,"identity":"72993688-ae58-4ab8-9bb0-26aed106243f","added_by":"auto","created_at":"2020-10-20 13:27:10","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":112575,"visible":true,"origin":"","legend":"Clusters of COVID-19 clinical presentation","description":"","filename":"ScreenShot20201020at9.12.41AM.png","url":"https://assets-eu.researchsquare.com/files/rs-88952/v2/119dc3abe04ce23e333bab38.png"},{"id":13604251,"identity":"9f33f89d-52e1-40e2-a8d1-00036177aaa7","added_by":"auto","created_at":"2021-09-17 05:59:07","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2103912,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-88952/v2/d7e28c15-ce4c-4e00-b273-b57125b6728c.pdf"}],"financialInterests":"","formattedTitle":"\u003cp\u003eAzithromycin with nitazoxanide, hydroxychloroquine or ivermectin, with or without dutasteride, for early stage COVID-19: an open-label prospective observational study in males with mild-to-moderate COVID-19 (The Pre-AndroCoV Male Trial).\u003c/p\u003e","fulltext":[{"header":"Background","content":"\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eCOVID-19 is a multi-systemic infection caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) that has infected more than 6,000,000 people and killed more than 1,000,000 people worldwide until the end of September 2020. Aging, obesity, uncompensated type 2 diabetes mellitus (T2DM), hypertension, male sex, and presence of male androgenetic alopecia (AGA) have been detected as risk factors for COVID-19 complications (1-6).\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eAlthough mortality in COVID-19 is slightly decreasing along the pandemics, challenges for early detection and management remain, and include the large number of asymptomatic yet transmitting subjects, prolonged viral incubation and shedding period, lack of specific and highly heterogeneous clinical manifestations (except for anosmia and ageusia), and rapid progression to acute lung injury from oligosymptomatic clinical presentations (7-10).\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDespite the challenging detection of suspected cases during the earlier stages, the majority of the public policies still focus on the presence of fever or shortness of breath as \u003cem\u003esine-quo-non\u003c/em\u003e criteria for the performance of real-time Polymerase Chain Reaction (rtPCR) (11). This hampers the diagnosis of COVID-19 without the presence of any of these two symptoms, and keeps medical literature claims on the presence of fever in the vast majority of infected patients, despite more specific and independent extensive data showing otherwise (12,13).\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eThe natural course of SARS-CoV-2 has been divided into three major stages: the first one encompasses the period of SARS-CoV-2 viral infectivity and spread; the second stage corresponds to an exacerbated, diffuse and dysfunctional inflammatory reaction\u0026nbsp; to SARS-CoV-2, while the third stage represents the COVID-19 induced acute lung injury \u003cem\u003eper se \u003c/em\u003e(14).\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eMultiple drugs have been proposed to improve COVID-19 clinical outcomes, from the demonstration of specific \u003cem\u003ein vitro\u003c/em\u003e antiviral activity against SARS-CoV-2, through clinical observations, or following mechanistical rationale (14). Among these drugs, azithromycin, in association with hydroxychloroquine or ivermectin, have been the most attempted drug combinations to decrease COVID-19 severity and complications (15).\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eHowever, mandatory presence of fever in order to suspect for COVID-19 prevents its detection during the first stage, when antiviral approaches should work. Indeed, since detection of COVID-19 is still relatively delayed in the majority of the cases, antiviral approaches tend to become less effective. Consequently, the vast majority of randomized clinical trials (RCT) for COVID-19, have been performed in hospitalized patients, even those claiming to be performed in mild-to-moderate COVID-19. Naturally, antiviral the alleged early pharmacological approaches for COVID-19 remain controversial, since actual early or mild presentations of COVID-19 have been under-investigated, which precludes from conclusive findings regarding the efficacy of these approaches.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eFor the evaluation of potential antiviral therapies of the proposed drugs may act reducing viral infectivity, it is critical to detect COVID-19 during earlier stages, based on a more sensitive case-detection guidance.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eWe hypothesized that the missing gap to respond to the efficacy of early approaches against COVID-19 in the current lack of proven options to prevent its progression to more severe stages is to provide potential antiviral therapies during the first stage of COVID-19, which requires more sensitive diagnosis of COVID-19. Owing to the extreme heterogeneity of the early COVID-19 clinical manifestations and to the fact that because of the spread use of masks, upper respiratory tract infection (URTI) and other infections became less likely than COVID-19, we moved from the need of fever or shortness of breath to the occurrence of absolutely any symptom as suspected case of COVID-19.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eThe present study is a prospective observational study aiming to evaluate whether more clinical sensitive detection of COVID-19 associated with early use of the unproven yet plausible drug combinations would be able to change the course of COVID-19 by improving clinical outcomes. The present prospective observational study also aimed to drive the design of our currently ongoing RCT (ClinicalTrials.gov Identifier: NCT04446429. Available at clinicaltrials.gov (\u003ca style=\"color: #000000;\" href=\"https://clinicaltrials.gov/ct2/show/NCT04446429?term=NCT04446429\u0026amp;draw=2\u0026amp;rank=1\"\u003ehttps://clinicaltrials.gov/ct2/show/NCT04446429?term=NCT04446429\u0026amp;draw=2\u0026amp;rank=1\u003c/a\u003e).\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDue to distinct characteristics and disease patterns in COVID-19, particularly because of the critical function of the transmembrane serine protease 2 (TMPRSS-2), an androgen-driven protein, for the modulation of the SARS-CoV-2 cell entry and COVID-19 severity, the present prospective observational study was divided in to males and females and in the presence or absence of androgenetic alopecia (AGA) in males, since we hypothesized that responses could be sex-specific, which could provide potential insights for individualization of COVID-19 pharmacological approaches.\u003c/span\u003e\u003c/p\u003e"},{"header":"Materials And Methods","content":"\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cem\u003eSubject selection\u003c/em\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003ePatients were recruited both direct- and indirectly through social media and different emergency units, outpatient clinics and medical private practice centers, respectively, located in Brasilia, Brazil, in case of suspected or confirmed COVID-19.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eMale candidates were suspected for COVID-19 in case of presence of at least one symptom encompassing the respiratory, gastrointestinal, neurological, cardiovascular systems, or any unspecific symptom, not limited to fever, shortness of breath, anosmia or ageusia. Suspected cases underwent rtPCR-SARS-CoV-2 (Abbott RealTime SARS-CoV-2 Assay, Abbott, USA; or Cobas SARS-CoV-2, Roche, Switzerland), and those confirmed for SARS-CoV-2 were included in the study if inclusion criteria were met. Patients confirmed for COVID-19 and referred by external medical centers were selected if they met criteria for the present study.\u003c/span\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eFor patients with confirmed COVID-19 through positive rtPCR-SARS-CoV-2, inclusion criteria for the present study included: 1. Male sex; 2. 18 years old and above; 3. Less than seven days since the beginning of symptoms; 4. Less than 72 hours from the confirmation of COVID-19; 4. Lack of use of any drug with potential antiviral activity against SARS-CoV-2, including hydroxychloroquine, nitazoxanide and ivermectin, and glucocorticoids, prior to the study; and 5. Absence of clinical or radiological evidence of progression to second or third stage of COVID-19, severe lung injury, or severe COVID-19. Criteria for exclusion including shortness of breath, oxygen saturation (SatO2) lower than 92%, and more than 25% of lungs affected in a chest computed tomography (CT) scan.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003ePatients included for the present analysis provided a written consent exactly as approved by the Institutional Review Board (IRB) of the Ethics Committee of the National Board of Ethics Committee of the Ministry of Health, Brazil (CEP/CONEP: Parecer 4.173.074 / CAAE: 34110420.2.0000.0008), alongside with the currently ongoing randomized clinical trial (RCT) registered at ClinicalTrials.gov (Identifier: NCT04446429. Available at clinicaltrials.gov (\u003ca style=\"color: #000000;\" href=\"https://clinicaltrials.gov/ct2/show/NCT04446429?term=NCT04446429\u0026amp;draw=2\u0026amp;rank=1\"\u003ehttps://clinicaltrials.gov/ct2/show/NCT04446429?term=NCT04446429\u0026amp;draw=2\u0026amp;rank=1\u003c/a\u003e).\u003c/span\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cem\u003eDesign and methods\u003c/em\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eThis is a prospective observational study of patients confirmed for COVID-19 after suspected for COVID-19 through a sensitive case-detection basis. For this, a preliminary \u0026lsquo;pre-study\u0026rsquo; phase was conducted with males that presented any symptom, not restricted to those observed in URTIs, anosmia or ageusia, as being suspected for COVID-19, that yielded a positive rtPCR-SARS-CoV-2 (Abbott RealTime SARS-CoV-2 Assay, Abbott, USA; or Cobas SARS-CoV-2, Roche, Switzerland). Not only new onset symptoms, but also changes in patterns of chronic symptoms, like headache or cough, were also considered as suspected for COVID-19. No history of contact with confirmed case of COVID-19 was required.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eIncluded males were actively characterized for baseline and lifestyle characteristics, 22 different diseases, 42 drug classes and vaccines, 26 different symptoms, and 10 different parameters to measure COVID-19 related clinical outcomes. All parameters that were actively characterized are listed in Table 1. Males were then divided according to the presence or absence of androgenetic alopecia (AGA), and use or not of dutasteride. Male AGA was considered when front or scalp hair was decreased in a male loss pattern, controlled with specific drugs (finasteride or dutasteride), or previous hair transplant. For statistical and clinical purposes, severe hyposmia and dysgeusia were considered as anosmia and ageusia, respectively.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eFurther, clustering of clinical manifestations was performed due to the overwhelming grouping of symptoms. The following clusters have been identified: 1. Anosmia-Ageusia dominance; 2. Dengue-like symptomatology / clinical presentation; 3. Upper respiratory tract infection (URTI) URTI-like symptomatology / clinical presentation; 4. Gastrointestinal (GI) infection-like symptomatology / clinical presentation; 5. Mixed between clusters; 6. Unspecific presentation; or 7. Asymptomatic, as shown in Figure 1.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eTo fill criteria for each cluster, it has been required for:\u003c/span\u003e\u003c/p\u003e\n\u003col\u003e\n\u003cli\u003e\u003cspan style=\"color: #000000;\"\u003eAnosmia-Ageusia dominance: at least two of nasal congestion or rhinorrhea, dry cough, self-reported perception of \u0026ldquo;sinusitis\u0026rdquo;, or self-reported perception of \u0026ldquo;sore throat\u0026rdquo;;\u003c/span\u003e\u003c/li\u003e\n\u003cli\u003e\u003cspan style=\"color: #000000;\"\u003eDengue-like clinical presentation: at least three of myalgia, arthralgia, upper back pain, conjunctival hyperemia or pre-orbital pain;\u003c/span\u003e\u003c/li\u003e\n\u003cli\u003e\u003cspan style=\"color: #000000;\"\u003eURTI-like clinical presentation: at least two of nasal congestion or rhinorrhea, dry cough, self-reported perception of \u0026ldquo;sinusitis\u0026rdquo;, or self-reported perception of \u0026ldquo;sore throat\u0026rdquo;;\u003c/span\u003e\u003c/li\u003e\n\u003cli\u003e\u003cspan style=\"color: #000000;\"\u003eGI infection-like clinical presentation: at least two of diarrhea, nauseas, vomiting, or abdominal pain;\u003c/span\u003e\u003c/li\u003e\n\u003cli\u003e\u003cspan style=\"color: #000000;\"\u003eMixed between clusters: when there are symptoms to fill criteria for at least two clusters\u003c/span\u003e\u003c/li\u003e\n\u003cli\u003e\u003cspan style=\"color: #000000;\"\u003eUnspecific presentation: when there are only unspecific or insufficient symptoms to fill criteria for any cluster; or\u003c/span\u003e\u003c/li\u003e\n\u003cli\u003e\u003cspan style=\"color: #000000;\"\u003eAsymptomatic.\u003c/span\u003e\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eAfter characterization, azithromycin was given at a dose of 500mg per day for five days, in association with hydroxychloroquine at a daily dose of 400mg for five days, nitazoxanide 500mg \u003cem\u003ebis in die\u003c/em\u003e for six days, or ivermectin 0.2mg/kg/day in a single daily dose for three days. Optionally, dutasteride, spironolactone, vitamin D, vitamin C, zinc, apibaxan, rivaroxaban, enoxaparin, and glucocorticoids were prescribed. The choice between hydroxychloroquine, nitazoxanide, and/or ivermectin, as well as the optional use dutasteride, spironolactone (if applicable) and any other drug or supplement was based on clinical judgement, availability, and individual medical history.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003ePatients were then evaluated for disease course and progression, time-to-appearance and duration of each symptom, and severity scales, including hospitalization, intensive care, mechanical ventilation, and death, duration of symptoms including and also not including anosmia and ageusia, and duration of positive rtPCR-SARS-CoV-2. In individually selected cases, chest CT scan was performed. Full raw data is available at a data repository (https://osf.io/cm4f8/).\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cem\u003eData availability \u003c/em\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eFull raw data is available at a public repository, in the following electronic address: \u003ca style=\"color: #000000;\" href=\"https://osf.io/cm4f8/\"\u003ehttps://osf.io/cm4f8/\u003c/a\u003e, that has been made public available.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cem\u003eSample size \u003c/em\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eSample size was determined based on the following assumptions (22):\u003c/span\u003e\u003c/p\u003e\n\u003col style=\"list-style-type: lower-alpha;\"\u003e\n\u003cli\u003e\u003cspan style=\"color: #000000;\"\u003eSample size estimate for the chi-squared test will require 80% power to detect the difference in proportions at p=0.05\u003c/span\u003e\u003c/li\u003e\n\u003cli\u003e\u003cspan style=\"color: #000000;\"\u003e95% of subjects would complete the study\u003c/span\u003e\u003c/li\u003e\n\u003cli\u003e\u003cspan style=\"color: #000000;\"\u003eHospitalization and death rates between 3 and 20%, and 0.3 and 2.5%, respectively (1,2,6,23)\u003c/span\u003e\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eBased on the assumptions above, we calculated that at a minimum we would need to recruit 254 subjects, and the study terminated when this number was reached, or in case of unexpected outcomes that could justify its early termination.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cspan style=\"color: #000000;\"\u003eStatistical analysis\u0026nbsp;\u003c/span\u003e\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eNonparametric ANOVA (Kruskal-Wallis) was performed for all parameters, regardless of the distribution normality, and \u003cem\u003epost-hoc\u003c/em\u003e adjusted Dunn\u0026rsquo;s test was performed for subgroup analyses, whenever \u003cem\u003ep \u003c/em\u003e\u0026lt;0.05. All statistical tests were performed using XLSTAT version 22.4.1 (Microsoft, USA).\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eTable 1. Parameters evaluated for the present prospective observational study.\u003c/span\u003e\u003c/p\u003e\n\u003ctable border=\"1\" width=\"718\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003eAspect\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003eParameter\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003eBaseline characteristics\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eAge (y/o)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eWeight (kg)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eHeight (m)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eBMI (kg/m\u003csup\u003e2\u003c/sup\u003e)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eMarried (yes/no) and households (yes/no)\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003eDisease and treatment timing\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eTime-to-treat (interval between beginning of symptoms and beginning of specific treatment) (days)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDuration of positive rtPCR SARS-CoV-2 (days)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDuration of symptoms (not including anosmia and ageusia) (days)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDuration of symptoms (including anosmia and ageusia) (days)\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003eMedical history\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eExisting diseases\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eHypertension\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eMyocardial infarction\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eStroke\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eChronic heart failure\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eLipid disorders\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eType 2 diabetes mellitus (T2DM)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003ePre-diabetes\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDysglicaemia (T2DM + pre-diabetes)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eObesity\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eAsthma\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eChronic Obstructive Pulmonary Disease (COPD)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eChronic Kidney Disease (CKD)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eLiver fibrosis or cirrhosis\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eMajor depression\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eAnxiety or anxiety-related disorders\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eAttention deficiency and hyperactive disorders (ADHD)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eInsomnia\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eHypothyroidism\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eAutoimmune disorders (any)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eCurrent or previous cancer\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eHypogonadism\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eBenign Prostate Hyperplasia (BPH)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eOther diseases (any)\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003eCurrent medications\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eCardiovascular\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003edrugs\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eBeta-blocker\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eAngiotensin converter inhibitors (ACEi) (-pril)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eAngiotensin-2 receptor blockers (ARB) (-tan)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eLoop diuretics (furosemide)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eThiazide diuretics (hydrochlorotiazide (HCTZ), indapamide)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eCalcium channel blockers (CCB) (-dipine)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eK-sparing diuretics (spironolactone)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eStatins (pitava-, rosuva-,\u0026nbsp; atorva-, prava-, simvastatin)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eOther lipid-lowering agents (fibrates, ezetimibe, PCSK9 inhibitors)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eAspirin\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eClopidogrel\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eWarfarin\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eXa factor inhibitors (apibaxan, rivaroxaban)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDirect thrombin inhibitors (dabagatran)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eHeparins\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDiabetes, obesity, and metabolic-related drugs\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eBiguanides (metformin)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eGlucagon-like peptide 1 (GLP1) receptor analogues (GLP-1Ra) (lira-, sema-, dulaglutide; exenatide)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eSodium-glucose co-transporter 2 (SGLT2) inhibitors (SGLT2i) (empa-, dapa-, canagliflozin)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDi-peptyl peptidase 4 (DPP4) inhibitors (DPP4i) (vilda-, sita-, saxa-, linagliptin)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eSulfonylureas (glipizide, glimepiride, glicazide)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eGlitazone\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eAcarbose\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eInsulin\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eOrlistat\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eHormone and related therapies\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eLevothyroxine (with or without liothyronine)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eTestosterone (any regimen)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eAromatase inhibitors (anastrozole; letrozole)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eSelective estrogen receptor modulators (SERMs)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e5-alpha reductase inhibitors (dutasteride, finasteride)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eGonadotropin releasing hormone (GnRH) analogues and inhibitors\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eNon-steroidal antiandrogens (NSAA)\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eCentral-acting drugs\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eHypnotics (zolpidem, zopiclone, eszopiclone, ramelteon)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eSelective serotonin reuptaker inhibitors (SSRIs) (fluoxetine, (des)venlafaxine, sertraline, (es)citalopram, vortioxetine, fluvoxamine)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eOther antidepressants and humor stabilizers (bupropion, topiramate, trazodone, ami- ou nortriptiline, topiramate, oxcarbamazepine)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eBenzodiazepines (Lora-, broma-, dia-, clonazepam; alpra-, midazolam)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eAtypical antipsychotics (olanzapine, quetiapine, risperidone, clozapine, aripiprazole)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eCentral nervous system (CNS) stimulants (methylfenidate, lisdexamfetamine, modafinil)\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eOther drugs\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eAlpha-1 adrenergic blockers (prazosin, doxazosin, tamsulosin)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003ePhosphodiesterase 5 inhibitors (sildenafil, tadalafil)\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eSupplements\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eOmega-3 (\u0026gt; 3g/day)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eVitamina D (\u0026gt; 1,000iu/day)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eZinc (\u0026gt; 15mg/day)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eVitamin C (\u0026gt; 500mg/day)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eMultivitamins\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003eVaccine\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eBCG (lifetime)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eInfluenza (in 2020)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003ePneumococcal 13 or 23 (since 2017)\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003eLifestyle\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eCurrent smoking (\u0026gt; 2 packs/week and \u0026gt; 10 pack-year)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eRegular physical activity (\u0026gt; 150min/week, moderate-to-vigorous, \u0026gt; 3 METs, for \u0026gt; 1y)\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003eClinical characterization\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e-\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp; \u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003ePresence (yes/no)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eTime to appearance (days)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDuration (days)\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eUnspecific symptoms\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eFever\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026ldquo;Feverish\u0026rdquo;\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eHeadache\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eShortness of breath\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eAnosmia\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eAgeusia / hypergeusia / dysgeusia\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDizziness\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eWeakness\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eFatigue\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eHyporexia / anorexia\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eThoracic pain\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eLower back pain\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDry eyes / dry mouth / skin lesions\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eTesticular pain\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eUpper respiratory tract infection-like symptoms\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eNasal congestion or rhinorrhea\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDry cough\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026ldquo;Sinusitis\u0026rdquo; (self-reported perception)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026ldquo;Sore throat\u0026rdquo; (self-reported perception)\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDengue-like symptoms\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eMyalgia\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eArthralgia\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eUpper back pain\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eConjuctival hyperemia\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003ePre-orbital pain\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eGastrointestinal (GI) infection-like symptoms\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDiarrhea\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eNauseas\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eVomiting\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eAbdominal pain\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eClinical clustering\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eAnosmia-Ageusia dominance; or\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDengue-like symptomatology / clinical presentation; or\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eURTI-like symptomatology / clinical presentation; or\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eGI infection-like symptomatology / clinical presentation; or\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eMixed; or\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eUnspecific; or\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eAsymptomatic\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003eTreatment \u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e(Azithromycin 500mg/day for 05 days +)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eHydroxychloroquine 400mg/day for 05 days, or\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eNitazoxanide 500mg BID for 06 days, or\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eIvermectin 0.2mg/kg/day for 03 days\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e+/-\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eSpironolactone 100mg BID for 15 days, or\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDutasteride 0.5mg/day until cure\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eAdditional treatments (added according to clinical judgement)\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eXa factor inhibitors\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eWarfarin\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eEnoxaparin\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eAcetylsalicylic acid (ASA)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eGlucocorticoids (methylprednisolone, dexamethasone, prednisone, prednisolone)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eBromhexine\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eN-acetylcysteine\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eColchicine\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eVitamin C (additional dose, if already under use)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eZinc (additional dose, if already under use)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eVitamin D (additional dose, if already under use)\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003eOutcomes (Day 0 = beginning of treatment)\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eWHO COVID Ordinal Outcomes\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e(Stages 1-5)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDay 0\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDay 7\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDay 14\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDay 30\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDay 60\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eLoss of ability to everyday activities (0-100; 0 = no loss; 100 = complete inability)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDay 0\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDay 3\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDay 7\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDay 14\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDay 30\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eSymptom severity\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e(0-100;0 = worst day of symptoms; 100 = no symptoms or fully recovered)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDay -7 to -4\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDay -3 to -1\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDay 0\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDay 1\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDay 2\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDay 3\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDay 7\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDay 14\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDay 21\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDay 30\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDay 60\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eThoracic CT scan\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e(% of lungs affected)\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDay 0\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDay 7\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDay 14\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDay 30\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003eDisease progression outcomes\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"198\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"378\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eBrescia COVID-19 Respiratory Severity Scale (0-4)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eHospitalization\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eIntensive Care Unit (ICU)\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eMechanical ventilation\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eNoradrenaline/dopamine\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003eDeath\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e"},{"header":"Results","content":"\u003cp\u003eAll tables depict characteristics and parameters according to the group and for overall males, as well as overall and pairwise \u003cem\u003ep-\u003c/em\u003evalue comparisons. Tables 2 to 5 characterize patients\u0026rsquo; background, Tables 6 to 10 describe COVID-19 presentation and proposed therapeutical approaches, and Tables 10 to 15 depict COVID-19 related outcomes.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003ePatients\u0026rsquo; characterization\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eA total of 305 males were included in the present study. Of these, 192 did not present AGA (non-AGA group) and 123 had current or history of AGA, from which 71 did not use dutasteride (AGA no-5ARi group) and 52 did (AGA-5ARi group). There was no dropout for clinical and disease progression outcomes.\u003c/p\u003e\n\u003cp\u003eTable 2 details baseline characteristics, Table 3 describes the prevalence of the most common comorbidities. Table 4 depicts the medications used on a chronic and regular basis, and Table 5 depicts vaccines and lifestyle.\u003c/p\u003e\n\u003cp\u003eBaseline characteristics (Table 2) were similar between groups, including age, body mass index (BMI), percentage of married males and percentage of males living alone, whereas non-AGA males were slightly but significantly taller than AGA males from both 5ARi and no-5ARi groups.\u003c/p\u003e\n\u003cp\u003eThe major and prevailing diseases were present in similarly present in all groups (Table 3), while chronic kidney disease (CKD), liver fibrosis and cirrhosis, and current cancer were absent. Autoimmune disorders and previous cancer were present in less than three patients. None of the medications for hypertension, cardiovascular diseases, diabetes, obesity, hormonal dysfunctions and psychiatric disorders disclosed differences between groups (Table 4). Warfarin, direct thrombin inhibitors, heparins, acarbose, gonadotropin releasing hormone (GnRH) analogues and inhibitors, non-steroidal antiandrogens (NSAA), finasteride and oral minoxidil was not used by any participant. The percentage of males that received vaccines for BCG, influenza and pneumococcal was, and that practiced physical activity regularly was similar between groups (Table 5).\u003c/p\u003e\n\u003cp\u003eTable 2. Baseline characteristics.\u003c/p\u003e\n\u003ctable border=\"1\" width=\"718\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eBaseline characteristics\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cstrong\u003eOverall males \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 305)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cstrong\u003eNon-AGA males\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 192)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cstrong\u003eAGA no-5ARi males\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 71)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cstrong\u003eAGA-5ARi\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 52)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u003cstrong\u003ep-value\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(overall)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eAge (y/o)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e43.9 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 10.8\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e43.1 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 11.2\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e45.2 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 9.0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e45.5 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 11.3\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.26 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eHeight (m)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e1.76 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.06\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e1.77 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.06*\u003csup\u003e#\u003c/sup\u003e\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e1.74 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.05\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e1.74 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.04\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eBMI (kg/m\u003csup\u003e2\u003c/sup\u003e)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e26.9 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 3.7\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e26.9 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 3.7\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e26.9 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 4.2\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e26.3 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 3.0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.18 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eMarried (yes/no) \u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e235 (76.2%)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e147 (76.6%)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e52 (80.3%)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e36 (69.2%)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eHouseholds (yes/no)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e51 (16.2%)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e29 (15.1%)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e10 (14.1%)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e12 (23.1%)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eAGA = androgenetic alopecia; 5ARi = Androgen receptor inhibitors; n/s = non-significant; n/a = non-applicable\u003c/p\u003e\n\u003cp\u003e*p\u0026lt;0.05 vs AGA no-ARi males\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e#\u003c/sup\u003ep\u0026lt;0.05 vs AGA-ARi males\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTable 3. Existing disorders.\u003c/p\u003e\n\u003ctable border=\"1\" width=\"718\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eComorbidities\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cstrong\u003eOverall males \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 305)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cstrong\u003eNon-AGA males\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 192)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cstrong\u003eAGA no-5ARi males\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 71)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cstrong\u003eAGA-5ARi\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 52)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u003cstrong\u003ep-value\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(overall)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eHypertension\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e39 (20.3%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e39 (20.3%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e15 (21.1%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e13 (25.0%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.74 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eMyocardial infarction\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e13 (4.1%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e6 (3.1%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e5 (7.0%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e2 (3.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.63 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eStroke\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e4 (1.3%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e3 (1.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e1 (1.4%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eChronic Heart Failure (CHD)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e1 (0.3%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e1 (0.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eLipid disorders\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e110 (34.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e63 (32.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e21 (29.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e26 (50.0%)\u003csup\u003e\u0026amp;\u003c/sup\u003e\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.064 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eType 2 diabetes mellitus \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(T2DM)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e39 (12.4%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e21 (10.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e9 (21.7%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e9 (17.3%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.44 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003ePre-diabetes\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e14 (4.4%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e9 (4.7%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e2 (2.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e3 (5.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.97 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eDysglycemia \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(T2DM + pre-diabetes)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e53 (16.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e30 (15.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e11 (24.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e12 (24.1%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.69 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eObesity\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e52 (16.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e31 (16.1%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e12 (16.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e9 (17.3%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.96 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eAsthma\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e22 (7.0%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e12 (6.2%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e8 (11.3%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e2 (3.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.75 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eMajor depression\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e12 (3.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e5 (2.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e2 (2.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e5 (9.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.54 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eAnxiety-related disorders\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e40 (12.7%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e22 (11.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e10 (14.1%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e8 (15.4%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.85 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eAttention deficiency and hyperactive disorders (ADHD)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e33 (10.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e18 (9.4%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e9 (12.7%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e6 (11.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.69 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eInsomnia \u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e25 (7.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e13 (6.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e7 (9.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e5 (9.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.61 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eHypothyroidism\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e13 (4.1%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e9 (4.7%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e2 (2.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e2 (3.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.88 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eHypogonadism\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e34 (10.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e24 (12.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e7 (9.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e3 (5.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.44 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eBenign Prostate Hyperplasia (BPH)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e13 (4.1%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e6 (3.1%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e2 (2.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e5 (9.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.18 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eAGA = androgenetic alopecia; 5ARi = Androgen receptor inhibitors; n/s = non-significant; n/a = non-applicable\u003c/p\u003e\n\u003cp\u003e*p\u0026lt;0.0001 vs AGA no-ARi males\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e#\u003c/sup\u003ep\u0026lt;0.0001 vs AGA-ARi males\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e\u0026amp; \u003c/sup\u003ep\u0026lt;0.05 vs no-5ARi users (non-AGA and AGA no-5ARi)\u003c/p\u003e\n\u003cp\u003eTable 4. Medications used at regular and chronic basis by COVID-19 males.\u003c/p\u003e\n\u003ctable border=\"1\" width=\"718\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eCurrent medications\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cstrong\u003eOverall males \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 305)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cstrong\u003eNon-AGA males\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 192)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cstrong\u003eAGA no-5ARi males\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 71)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cstrong\u003eAGA-5ARi\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 52)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u003cstrong\u003ep-value\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(overall)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eBeta-blocker \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e18 (5.7%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e8 (4.2%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e6 (8.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e4 (7.7%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.83 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eAngiotensin converter inhibitors (ACEi) \u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e26 (8.3%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e17 (8.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e4 (5.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e5 (9.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.91 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eAngiotensin-2 receptor blockers (ARB) \u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e54 (17.1%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e30 (15.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e14 (19.7%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e10 (19.2%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.84 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eLoop diuretics\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e2 (0.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e1 (0.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e1 (1.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eThiazide diuretics\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e26 (8.3%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e15 (7.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e7 (9.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e4 (7.7%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026gt; 0.9 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eCalcium channel blockers (CCB)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e26 (8.3%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e13 (6.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e6 (8.4%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e7 (13.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.76 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eK-sparing diuretics\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e3 (0.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e1 (0.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e2 (2.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eStatins\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e100 (31.7%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e57 (29.7%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e18 (25.3%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e25 (48.1%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.072 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eOther lipid lowering agents\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e52 (16.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e31 (16.1%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e12 (16.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e9 (17.3%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eAspirin\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e10 (2.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e5 (2.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e2 (2.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e2 (3.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eClopidogrel \u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e3 (0.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e3 (2.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eXa factor inhibitors\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e12 (4.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e8 (4.2%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e4 (5.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e3 (5.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026gt; 0.9 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eMetformin\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e63 (20.0%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e36 (18.7%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e15 (21.1%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e12 (23.1%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.88 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eGlucagon-like peptide 1 (GLP1) receptor analogues (GLP-1Ra)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e21 (6.7%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e12 (6.2%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e6 (8.4%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e3 (5.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.96 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eSodium-glucose co-transporter 2 (SGLT2) inhibitors (SGLT2i)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e24 (7.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e13 (6.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e6 (8.4%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e5 (9.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.94 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eDi-peptyl peptidase 4 (DPP4) inhibitors (DPP4i)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e15 (4.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e8 (4.2%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e3 (4.2%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e4 (7.7%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.95 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eSulfonylureas \u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e3 (0.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e2 (1.0%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e1 (1.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003ePioglitazone\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e5 (1.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e4 (2.1%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e1 (1.4%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eInsulin\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e3 (0.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e2 (1.0%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e1 (1.4%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eOrlistat\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e31 (9.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e21 (10.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e8 (11.3%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e2 (3.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.71 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eLevothyroxine\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e14 (4.4%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e10 (5.2%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e2 (2.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e2 (3.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.88 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eTestosterone \u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e23 (7.3%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e17 (8.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e5 (7.0%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e1 (1.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.74 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eAromatase inhibitors (anastrozole; letrozole) or Selective estrogen receptor modulators (SERMs)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e5 (1.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e5 (2.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eHypnotics \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e23 (7.3%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e12 (6.2%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e4 (5.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e7 (13.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.70 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eSelective serotonin reuptaker inhibitors (SSRIs)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e31 (9.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e15 (7.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e6 (8.4%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e10 (19.2%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.44 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eOther antidepressants and humor stabilizers\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e17 (5.4%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e9 (4.7%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e6 (8.4%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e2 (3.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.88 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eBenzodiazepines\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e7 (2.2%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e4 (2.1%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e1 (1.4%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e2 (3.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026gt; 0.9 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eAtypical antipsychotics\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e2 (0.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e2 (1.0%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eCentral nervous system (CNS) stimulants\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e38 (12.1%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e23 (12.0%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e7 (9.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e8 (15.4%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e(n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eAlpha-1 adrenergic blockers \u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e10 (3.2%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e5 (2.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e2 (2.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e3 (5.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026gt; 0.9 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003ePhosphodiesterase 5 inhibitors\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e33 (10.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e17 (8.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e8 (11.3%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e8 (15.4%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.76 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eOmega 3\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e13 (4.1%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e8 (4.2%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e2 (2.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e3 (5.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026gt; 0.9 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eVitamin D\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e42 (13.3%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e23 (12.0%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e10 (14.1%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e9 (17.3%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026gt; 0.9 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eZinc\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e12 (3.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e7 (3.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e4 (5.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e1 (1.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026gt; 0.8 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eBiotin\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e9 (2.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e1 (0.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e3 (4.2%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e5 (9.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.58 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eVitamin C\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e27 (8.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e18 (9.4%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e7 (9.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e2 (3.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026gt; 0.9 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eAGA = androgenetic alopecia; 5ARi = Androgen receptor inhibitors; n/s = non-significant; n/a = non-applicable\u003c/p\u003e\n\u003cp\u003e*p\u0026lt;0.0001 vs AGA no-ARi males\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e#\u003c/sup\u003ep\u0026lt;0.0001 vs AGA-ARi males\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e\u0026amp; \u003c/sup\u003ep\u0026lt;0.05 vs no-5ARi users (non-AGA and AGA no-5ARi)\u003c/p\u003e\n\u003cp\u003eTable 5. Vaccines and lifestyle.\u003c/p\u003e\n\u003ctable border=\"1\" width=\"718\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eVaccine and lifestyle\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cstrong\u003eOverall males \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 305)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cstrong\u003eNon-AGA males\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 192)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cstrong\u003eAGA no-5ARi males\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 71)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cstrong\u003eAGA-5ARi\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 52)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u003cstrong\u003ep-value\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(overall)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eVaccine - BCG \u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e305 (100%)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e192 \u003c/em\u003e(100%)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e71 \u003c/em\u003e(100%)\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e52 \u003c/em\u003e(100%)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e1.0 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eVaccine \u0026ndash; Influenza (2020)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e44 (14.0%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e26 (13.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e11 (15.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e7 (13.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026gt; 0.9 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eVaccine \u0026ndash; Pneumococcal (since 2017)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e34 (10.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e18 (9.4%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e10 (14.1%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e6 (11.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.84 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eCurrent smoking \u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e10 (3.2%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e6 (3.1%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e2 (2.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e2 (3.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u0026gt; 0.9 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eRegular physical activity\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e98 (31.1%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e56 (29.2%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e20 (28.2%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e22 (42.3%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.31 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eAGA = androgenetic alopecia; 5ARi = Androgen receptor inhibitors; n/s = non-significant; n/a = non-applicable\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eCOVID-19 characterization and proposed treatment\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eTables 6 to 9 detail the characterization of COVID-19 and proposed treatments. Table 6 describes the rates of each cluster of clinical manifestations. Table 7 depicts the mean presence, duration, and time-to-appearance of each symptom. Table 8 describes the major drugs used as proposed anti-COVID treatments and Table 9 describes additional drugs and supplements prescribed at an individual basis.\u003c/p\u003e\n\u003cp\u003eIn regards with COVID-19 types of clinical presentation (Table 6), anosmia-ageusia dominance was more prevalent in non-AGA than AGA no-5ARi males. Dengue-like manifestations were more present in AGA no-5ARi than 5ARi males, and more present in 5ARi users than non-users. URTI-like symptoms were more present in non-AGA and AGA no-5ARi users than ARI-5ARi males. Mixed and unspecific presentations were similarly present in all groups. The majority of 5ARi users were either asymptomatic or presented anosmia and/or ageusia as the most remarkable or only clinical symptom.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eClinical manifestations presented wide differences in terms of percentage of presence, time to appearance and duration for multiple symptoms (Table 7). In terms of percentage of male patients with COVID-19 presenting each symptom, those present in more than 50% include anosmia (68.9%) and ageusia (61.2%). Those presented in between one quarter and half of COVID-19 males include headache\u0026nbsp; (37.5%), hyporexia\u0026nbsp; (37.5%), fatigue (35.2%), dry cough\u0026nbsp; (35.2%), fever or \u0026ldquo;feverish\u0026rdquo; (33.9%), thoracic pain (32.4%), conjunctival hyperemia\u0026nbsp; (29.5%), weakness (29.5%), nasal congestion or rhinorrhea (28.6% and myalgia (26.3%. Symptoms present in 10% to 25% of patients include \u0026ldquo;sore throat\u0026rdquo; (23.5%, \u0026ldquo;feverish\u0026rdquo; alone (22.5%), diarrhea (20.9%), dizziness (17.5%), upper back pain (14.0%) and fever alone (11.4%). Symptoms present in less than 10% but in a non-negligeble number of patients include arthralgia (9.2%), shortness of breath (6.3%), \u0026ldquo;sinusitis\u0026rdquo; (6.3%), nauseas (5.7%). lower back pain (4.1%), abdominal pain (4.1%) and pre-orbital pain (3.5%).\u003c/p\u003e\n\u003cp\u003eSymptoms that appeared earlier in COVID-19 (\u0026lt; 1.6 day from the first symptom; in days) include nasal congestion or rhinorrhea \u0026ndash; 1.0 \u0026plusmn; 0.1, nauseas \u0026ndash; 1.3 \u0026plusmn; 0.7, pre-orbital pain \u0026ndash; 1.3 \u0026plusmn; 0.6, \u0026ldquo;feverish\u0026rdquo; \u0026ndash; 1.4 \u0026plusmn; 0.8, fever \u0026ndash; 1.4 \u0026plusmn; 0.7, arthralgia \u0026ndash; 1.4 \u0026plusmn; 0.6 , abdominal pain \u0026ndash; 1.4 \u0026plusmn; 0.7, dizziness \u0026ndash; 1.5 \u0026plusmn; 0.9, weakness \u0026ndash; 1.5 \u0026plusmn; 0.9, conjunctival hyperemia \u0026ndash; 1.6 \u0026plusmn; 0.9, headache \u0026ndash; 1.6 \u0026plusmn; 0.9 , \u0026ldquo;sinusitis\u0026rdquo; \u0026ndash; 1.6 \u0026plusmn; 0.8, fatigue \u0026ndash; 1.6 \u0026plusmn; 0.9 and myalgia \u0026ndash; 1.6 \u0026plusmn; 0.9. Later symptoms (\u0026gt; 3.5 days since first symptom) include anosmia \u0026ndash; 3.8 \u0026plusmn; 1.4, ageusia \u0026ndash; 3.9 \u0026plusmn; 1.4 and shortness of breath \u0026ndash; 4.4 \u0026plusmn; 1.1 (Table 7).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAt least in patients treated for COVID-19 (Table 7), symptoms with lower duration (\u0026lt; 3.1 days) include dizziness \u0026ndash; 1.7 \u0026plusmn; 1.0, shortness of breath \u0026ndash; 2.3 \u0026plusmn; 0.9, arthralgia \u0026ndash; 2.5 \u0026plusmn; 1.2, abdominal pain \u0026ndash; 2.6 \u0026plusmn; 1.3, nauseas \u0026ndash; 2.8 \u0026plusmn; 1.2, \u0026ldquo;feverish\u0026rdquo; \u0026ndash; 2.9 \u0026plusmn; 1.3, fever \u0026ndash; 3.1 \u0026plusmn; 1.4 and weakness \u0026ndash; 3.1 \u0026plusmn; 2.2. Symptoms with intermediate duration (3.1 to 5 days) include diarrhea \u0026ndash; 3.2 \u0026plusmn; 1.9, myalgia \u0026ndash; 3.6 \u0026plusmn; 1.8, pre-orbital pain \u0026ndash; 3.6 \u0026plusmn; 1.6, lower back pain \u0026ndash; 3.9 \u0026plusmn; 1.5, nasal congestion or rhinorrhea \u0026ndash; 4.0 \u0026plusmn; 2.0, hyporexia \u0026ndash; 4.3 \u0026plusmn; 2.0, thoracic pain \u0026ndash; 4.3 \u0026plusmn; 2.2, upper back pain \u0026ndash; 4.3 \u0026plusmn; 1.8 and conjunctival hyperemia \u0026ndash; 4.9 \u0026plusmn; 2.1. Symptoms that persist for longer periods of time (\u0026gt; 5 days) include dry cough \u0026ndash; 5.3 \u0026plusmn; 2.4\u0026nbsp; , headache \u0026ndash; 5.5 \u0026plusmn; 2.4, \u0026ldquo;sore throat\u0026rdquo; \u0026ndash; 5.5 \u0026plusmn; 1.9, \u0026ldquo;sinusitis\u0026rdquo; \u0026ndash; 7.2 \u0026plusmn; 2.6, ageusia \u0026ndash; 7.4 \u0026plusmn; 5.1, anosmia \u0026ndash; 7.9 \u0026plusmn; 5.5 and fatigue \u0026ndash; 8.4 \u0026plusmn; 4.6.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eBesides being highly heterogeneous, rate, duration and time-to-appearance of symptoms varied particularly according to the presence of male AGA and use of dutasteride.\u003c/p\u003e\n\u003cp\u003eAmong 5ARi users, fever, shortness of breath, \u0026ldquo;sinusitis\u0026rdquo;, dizziness, myalgia, arthralgia, thoracic pain, lower back pain were absent, while only one patient presented \u0026ldquo;feverish\u0026rdquo;, nasal congestion or rhinorrhea, \u0026ldquo;sore throat\u0026rdquo;, fatigue, weakness, upper back pain, nauseas, vomiting, abdominal pain and pre-orbital pain, and two patients that presented headache, dry cough, diarrhea and conjunctival hyperemia (Table 7). The only symptoms that were not negligeable among 5ARi users were anosmia and ageusia. In common, all symptoms were significantly less present in AGA-ARi males compared to non-AGA, AGA no-ARi, and overall ARi males, except for nauseas, vomiting, abdominal pain, and pre-orbital pain, since these were also present in very few patients in all groups. Because of the lack of symptomatology, except for anosmia and ageusia, time of appearance and duration were only feasible to be compared between non-AGA and AGA no-5ARi males (Table 7).\u003c/p\u003e\n\u003cp\u003eFever was present in similar patterns between non-AGA and AGA no-5ARi males. Although presence of feeling of fever with no fever confirmed (\u0026ldquo;feverish\u0026rdquo;) was also similar between these two groups, in non-AGA males duration was slightly but significantly lower than AGA no-5ARi. Nasal congestion and rhinorrhea had the same patterns and difference in terms of duration compared to \u0026ldquo;feverish\u0026rdquo;.\u0026nbsp; Non-AGA had less and lower duration of headache than AGA no-5ARi males, while time to appearance was similar between them. Shortness of breath had similar presence rate, time to appearance and duration between non-AGA and AGA no-5ARi males.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAnosmia was present in a similar percentage of non-AGA and AGA no-5ARi males, and more present in these two groups than in 5ARi users. Time to appearance and duration of anosmia was significantly higher in AGA no-5ARi than non-AGA and AGA-5ARi, and significantly higher in non-AGA than AGA-5ARi males. Ageusia had identical features than anosmia in terms of presence, time to appearance and duration, when compared to anosmia, and when compared between groups.\u003c/p\u003e\n\u003cp\u003eDry cough was more present and had longer duration in AGA no-5ARi than non-AGA males, while time to appearance was similar between them. Self-reported perception of \u0026ldquo;sinusitis\u0026rdquo; and \u0026ldquo;sore throat\u0026rdquo; was equally present in non-AGA and AGA no-5ARi males, developed with similar intervals between them, whereas duration of both was longer in the AGA no-5ARi group.\u003c/p\u003e\n\u003cp\u003eDizziness was present at similar extent and duration between non-AGA and AGA no-5ARi males. Conversely, fatigue was more present and persisted for longer periods in AGA no-5ARi compared to non-AGA, while weakness was equally present but had longer duration in AGA no-5ARi males. Myalgia affected more severely AGA no-5ARi than non-AGA males, in terms of presence and duration. Arthralgia was more present in AGA no-5ARi males, but had similar time-to-appearance and duration than non-AGA.\u003c/p\u003e\n\u003cp\u003eThoracic, upper back, and lower back pain affected a higher percentage of AGA no-5ARi than non-AGA males, and had similar time-to-appearance and duration between them, except for a slightly higher time until appearance in non-AGA males.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eDiarrhea, nauseas, vomiting, and abdominal pain were present in similar percentage and had similar duration between non-AGA and AGA no-ARi males. Conjunctival hyperemia was more commonly present and lasted for longer periods in AGA no-5ARi, compared to non-AGA males, while pre-orbital pain was similarly present between these groups.\u003c/p\u003e\n\u003cp\u003eIn regards with proposed therapeutical options for COVID-19, all patients received azithromycin. Nitazoxanide was associated in 72.4%, at higher percentage of males from the non-AGA and AGA no-5ARi groups, compared to 5ARi users. Hydroxychloroquine and ivermectin were prescribed for 21.6% and 14.6% of patients, respectively, equally between groups. Among non-chronic 5ARi users, dutasteride was significantly more used in AGA than non-AGA males, while spironolactone was used in similar proportions (Table 8).\u003c/p\u003e\n\u003cp\u003eThere were no significant differences between the percentage of patients treated with any additional drugs of supplements for COVID-19. Warfarin, acetylsalicylic acid (ASA), bromhexine, N-acetyl-cysteine and colchicine have not been added as therapies for COVID-19 to any, or until to two patients.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTable 6. Clinical clustering\u003c/p\u003e\n\u003ctable border=\"1\" width=\"718\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eClinical clustering\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cstrong\u003eOverall males \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 305)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003eNon-AGA males\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 192)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003eAGA no-5ARi males\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 71)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eAGA-5ARi\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 52)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cstrong\u003ep-value\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(overall)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eAnosmia-Ageusia dominance \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e69 (21.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e56 (29.2%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.01 vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s (0.082) vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e6 (8.5%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e7 (13.5%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eDengue-like \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e56 (17.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e36 (18.7%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s (p=0.063) vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e19 (26.8%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e\u0026nbsp;(p=0.019 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e1 (1.9%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.035 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e0.003\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eURTI-like \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e102 (32.4%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e66 (34.4%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s (p=0.063) vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.0003 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e35 (49.3%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e1 (1.9%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eGI infection-like\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e24 (7.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e14 (7.3%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e9 (12.7%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e1 (1.9%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs no-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e0.082 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eMixed \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e22 (7.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e13 (6.8%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e9 (15.5%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs no-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e0.32 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eUnspecific\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e35 (11.1%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e23 (12.0%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e12 (16.9%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs no-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e0.011\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eAsymptomatic\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e51 (16.2%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e9 (4.7%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e42 (80.8%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eURTI = Upper respiratory tract infection; GI = Gastrointestinal; AGA = androgenetic alopecia; 5ARi = Androgen receptor inhibitors; n/s = non-significant; n/a = non-applicable\u003c/p\u003e\n\u003cp\u003eTable 7. Clinical manifestations in COVID-19: presence (%), time-to-appearance and duration.\u003c/p\u003e\n\u003ctable border=\"1\" width=\"718\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eClinical manifestations\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cstrong\u003eOverall males \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 305)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003eNon-AGA males\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 192)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cstrong\u003eAGA no-5ARi males\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 71)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003eAGA-5ARi\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 52)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u003cstrong\u003ep-value\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(overall)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eFever\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003ePresence (%)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e36 (11.4%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e22 (11.5%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s \u0026nbsp;vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e14 (19.7%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eTime to appearance (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e1.4 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.7 \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1.4 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.7 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e1.4 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.7 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eDuration (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e3.1 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.4\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e3.1 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.4\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e3.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.4 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e0\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026ldquo;Feverish\u0026rdquo;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003ePresence (%)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e71 (22.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e45 (23.4%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e25 (35.2%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1 (1.9%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eTime to appearance (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e1.4 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.8\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1.4 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.9\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e1.2 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.5\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e2\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eDuration (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e2.9 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.3\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e2.5 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.3\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(0.002 vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e3.5 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.2\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e2\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eNasal congestion or rhinorrhea\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003ePresence (%)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e90 (28.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e64 (33.3%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e25 (35.2%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1 (1.9%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eTime to appearance (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e1.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.1\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e1.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.2\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e( n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eDuration (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e4.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 2.0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e3.8 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 2.0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(0.032 vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e4.7 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.9\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e3\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eHeadache\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003ePresence (%)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e118 (37.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e70 (36.5%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.0004 vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e46 (64.8%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e2 (3.8%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eTime to appearance (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e1.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.9 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.9\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e1.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1.5 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.5\u0026nbsp; (1;2)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eDuration (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e5.5 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 2.4\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e5.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 2.1\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e6.2 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 2.8\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e3.5 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e\u0026nbsp; 0.5 (3;4)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eShortness of breath\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003ePresence (%)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e20 (6.3%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e10 (5.2%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e10 (14.1%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e0/1\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eTime to appearance (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e4.4 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.1\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e4.2 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e4.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.2\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eDuration (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e2.3 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.9\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e2.3 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.8\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e2.2 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.1\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eAnosmia\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003ePresence (%)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e217 (68.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e147 (76.6%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e63 (88.7%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e7 (13.5%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eTime to appearance (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e3.8 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.4\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e3.5 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.3 \u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.009 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e4.7 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p = 0.009 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e2 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.1 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.0002 vs no-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eDuration (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e7.9 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 5.5\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e7.2 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 4.9\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.0005 vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.012 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e10.1 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 6.4\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p = 0.001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e3.7 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.2\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.005 vs no-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eAgeusia\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003ePresence (%)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e204 (61.2%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e134 (69.8%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e55 (77.5%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e5 (9.6%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eTime to appearance (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e3.9 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.4\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e3.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.4\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.006 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e4.8 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.0003 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.8\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.0023 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eDuration (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e7.4 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 5.1\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e6.7 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 4.6\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.0004 vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.008 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e9.5 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 5.7\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.003 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e3.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.6\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.0055 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eDry cough\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003ePresence (%)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e111 (35.2%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e68 (35.4%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.005 vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e41 (57.7%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e2 (3.8%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eTime to appearance (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e1.7 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.9\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.8\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e1.9 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0 (1;1)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eDuration (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e5.3 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 2.4\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e5.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 2.5\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.004\u003c/em\u003e\u003c/strong\u003e\u003cem\u003e \u003cstrong\u003evs AGA no-ARi)\u003c/strong\u003e\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e6.1 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 2.1\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e2.5 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.5 (2;3)\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026ldquo;Sinusitis\u0026rdquo;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003ePresence (%)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e20 (6.3%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e12 (6.2%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e8 (11.3%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e0.04\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eTime to appearance (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e1.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.8\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1.5 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.7\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e1.7 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eDuration (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e7.2 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 2.6 \u003c/em\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e5.8 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 2.3\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.0004\u003c/em\u003e\u003c/strong\u003e\u003cem\u003e \u003cstrong\u003evs AGA no-ARi)\u003c/strong\u003e\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e9.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.9\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026ldquo;Sore throat\u0026rdquo;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003ePresence (%)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e74 (23.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e50 (26.0%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e23 (32.4%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1 (1.9%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eTime to appearance (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e2.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1.9 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e2.2 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.2\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e2\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eDuration (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e5.5 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.9\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e5.2 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.8\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p = 0.029 vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e6.3 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.9\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e4\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eDizziness\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003ePresence (%)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e55 (17.5%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e24 (12.5%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e31 (43.7%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eTime to appearance (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e1.5 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.9\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1.5 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e1.5 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.9\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eDuration (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e1.7 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1.5 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.8\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e1.9 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.2\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eFatigue\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003ePresence (%)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e87 (35.2%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e45 (23.4%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.006 vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e41 (57.7%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1 (1.9%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eTime to appearance (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e1.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.9\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.9 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e1.7 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e2\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eDuration (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e8.4 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 4.6\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e7.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 3.8\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.033 vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e9.8 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 5.6\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e6\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eWeakness\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003ePresence (%)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e92 (29.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e61 (31.8%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e31 (43.7%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1 (1.9%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eTime to appearance (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e1.5 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.9\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1.5 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.8\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e1.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.9\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e2\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eDuration (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e3.1 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 2.2\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e2.8 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.7\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.031 vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e4.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 2.8\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eMyalgia\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003ePresence (%)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e83 (26.3%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e53 (27.6%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(n/s (0.072) - vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e30 (42.3%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eTime to appearance (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e1.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.9\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.8\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e1.8 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eDuration (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e3.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.8\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e3.3 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.8\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p = 0.043 vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e4.1 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.6\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eArthralgia\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003ePresence (%)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e29 (9.2%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e13 (6.8%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p = 0.05 vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e16 (22.5%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e0.066 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eTime to appearance (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e1.4 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.6 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1.5 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.6 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e1.4 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.6 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eDuration (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e2.5 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.2\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e2.4 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.9\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e2.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.4\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eHyporexia\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003ePresence (%)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e118 (37.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e88 (45.8%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e30 (42.3%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eTime to appearance (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e1.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.9\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1.5 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.9\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e1.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.9\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eDuration (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e4.3 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 2.0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e4.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.7\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.043 vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e5.1 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 2.3\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eThoracic pain\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003ePresence (%)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e102 (32.4%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e72 (37.5%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e30 (42.3%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eTime to appearance (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e2.9 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.2 \u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e2.8 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.2\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e3.3 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.2\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eDuration (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e4.3 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 2.2\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e4.1 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 2.1\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e4.8 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 2.3\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eUpper back pain\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003ePresence (%)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e44 (14.0%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e22 (11.5%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.024 vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e21 (29.6%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1 (1.9%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e0.02\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eTime to appearance (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e2.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e2.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.9\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e2.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eDuration (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e4.3 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.8\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e4.3 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.6\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e4.4 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 2.0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e2\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eLower back pain\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003ePresence (%)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e13 (4.1%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e5 (2.6%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e8 (11.3%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e0.48 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eTime to appearance (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e1.7 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.9\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e2.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.1\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.046 vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e1.5 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.7\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eDuration (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e3.9 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.5\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e4.2 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.5\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e3.7 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.5\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eDiarrhea\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003ePresence (%)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e66 (20.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e45 (23.4%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.03 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e19 (26.8%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.02 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e2 (3.8%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.03 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e0.06 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eTime to appearance (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e1.9 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.1\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1.7 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.9\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e2.4 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.4\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e\u0026nbsp;1 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e\u0026nbsp; 0 (1;1)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eDuration (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e3.2 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.9\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e2.9 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.6\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e4.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 2.3\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e3 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1 (2;4)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eNauseas\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003ePresence (%)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e17 (5.7%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e10 (5.2%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e7 (9.9%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e0.55 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eTime to appearance (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e1.3 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.7\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1.4 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.7\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e1.3 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.7\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eDuration (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e2.8 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.2\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e2.7 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e2.8 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.5\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eVomiting\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003ePresence (%)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e1 (0.3%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e0\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e1 (1.4%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eTime to appearance (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e2\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eDuration (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e1\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eAbdominal pain\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003ePresence (%)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e13 (4.1%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e7 (3.6%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e6 (8.5%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e0.71\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eTime to appearance (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e1.4 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.7\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1.4 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.7\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e1.3 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.7\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eDuration (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e2.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.3\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e2.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.9\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e3.3 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.2\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eConjunctival hyperemia\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003ePresence (%)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e93 (29.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e54 (28.1%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.002 vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e38 (53.2%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1 (1.9%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eTime to appearance (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e1.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.9\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1.5 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.7 \u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e1.8 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.1\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eDuration (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e4.9 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 2.1\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e4.4 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 2.0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.002 vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e5.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 2.1\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e4\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003ePre-orbital pain\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003ePresence (%)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e11 (3.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e8 (4.2%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e2 (2.8%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1 (1.9%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e0.96 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eTime to appearance (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e1.3 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.6\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1.4 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.7\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e1 (1;1)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eDuration (days)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e3.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.6\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e4.1 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.6\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e2.5 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.5 (2;3)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e2\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eNo-5ARi = AGA no 5ARi + non-AGA groups; AGA = androgenetic alopecia; 5ARi = Androgen receptor inhibitors; n/s = non-significant; n/a = non-applicable\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTable 8. Drugs prescribed for COVID-19.\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"1\" width=\"718\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eMedications\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(+ azithromycin)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cstrong\u003eOverall males \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 305)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cstrong\u003eNon-AGA males\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 192)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cstrong\u003eAGA no-5ARi males\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 71)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cstrong\u003eAGA-5ARi\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 52)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u003cstrong\u003ep-value\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(overall)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eHydroxichloroquine\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e68 (21.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e42 (21.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e10 (14.1%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e16 (30.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.082 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eNitazoxanide\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e228 (72.4%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e141 (74.4%)\u003c/em\u003e\u003cem\u003e*\u003csup\u003e#\u003c/sup\u003e\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e58 (81.7%)\u003csup\u003e#\u003c/sup\u003e\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e29 (55.8%)\u003csup\u003e\u0026amp;\u003c/sup\u003e\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.0006\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eIvermectin\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e46 (14.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e30 (15.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e7 (9.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e9 (17.3%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.29 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eDutasteride\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e69 (21.9%**)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e40 (20.8%)*\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e29 (40.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eSpironolactone\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e31 (9.8%**)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e19 (9.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e12 (16.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e0\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.17 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eAGA = androgenetic alopecia; 5ARi = Androgen receptor inhibitors; n/s = non-significant; n/a = non-applicable\u003c/p\u003e\n\u003cp\u003e*p\u0026lt;0.05 vs AGA no-ARi males\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e#\u003c/sup\u003ep\u0026lt;0.05 vs AGA-ARi males\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e\u0026amp; \u003c/sup\u003ep\u0026lt;0.05 vs no-5ARi users (non-AGA and AGA no-5ARi)\u003c/p\u003e\n\u003cp\u003e**Not including AGA-5ARi users\u003c/p\u003e\n\u003cp\u003eTable 9. Additional drugs and supplements used to treat COVID-19.\u003c/p\u003e\n\u003ctable border=\"1\" width=\"718\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eAdditional drugs or supplements\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cstrong\u003eOverall males \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 305)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cstrong\u003eNon-AGA males\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 192)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cstrong\u003eAGA no-5ARi males\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 71)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cstrong\u003eAGA-5ARi\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 52)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u003cstrong\u003ep-value\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(overall)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eXa factor inhibitors\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e34 (10.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e22 (11.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e9 (12.7%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e3 (5.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.78 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eEnoxaparin\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e19 (6.0%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e10 (5.2%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e9 (12.7%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.46 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eGlucocorticoids\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e20 (6.3%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e11 (5.7%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e9 (12.7%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.47 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eVitamin C\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e43 (13.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e16 (22.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e3 (5.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e3 (5.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.26 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eZinc\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e46 (14.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e26 (13.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e16 (22.5%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e4 (7.7%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.32 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eVitamin D\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e268 (88.2%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e174 (90.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e51 (85.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e43 (82.7%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e0.63 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eAGA = androgenetic alopecia; 5ARi = Androgen receptor inhibitors; n/s = non-significant\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eCOVID-19 course and outcomes\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eTables 10 to 15 depict COVID-19 course and outcomes. Table 10 shows the average time-to-treat and the speed of COVID-19 resolution. Table 11 depicts the course of the clinical manifestations in COVID-19. Table 12 depicts the scores from the WHO COVID Ordinal Outcomes. Table 13 describes the mean loss of capacity for everyday activities. Table 14 describes the level of lung injury through radiology. Table 15 summarizes the rates of disease progression.\u003c/p\u003e\n\u003cp\u003eAs shown in Table 10, time-to-treat was significantly lower in AGA-5ARi, compared to non-AGA and AGA no-5ARi males, which remained significant after adjustment for only symptomatic patients.\u003c/p\u003e\n\u003cp\u003eDuration of positive rtPCR-SARS-CoV-2, symptoms with or without anosmia and ageusia were significantly lower in 5ARi users compared to non-AGA, AGA no-5ARI, and overall non-users, and were lower in non-AGA compared to AGA no-5ARi males.\u003c/p\u003e\n\u003cp\u003eAs depicted in Table 11, because 82.7% of 5ARi users remained asymptomatic throughout the COVID-19 infection, this group had significantly lower clinical manifestations compared to non-AGA, AGA no-5ARi and overall no-ARi users between seven days before until seven days after the beginning of treatment.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAGA no-5ARi had slower although not milder progression of symptoms, which may justify why this group was more affected since Days -7 to -4. Non-AGA remained significantly less affected by COVID-19 manifestations than AGA no-5ARi males between Days 0 and 7. AGA no-5ARi had similar speed of improvement compared to non-AGA.\u003c/p\u003e\n\u003cp\u003eFollowing the World Health Organization (WHO) COVID Ordinal Outcomes, AGA-5ARi group had lower scores than non-AGA, AGA no-5ARi, and overall no-5ARi users in Day 0. Conversely, at Day 7, AGA no-5ARi males had higher scores than non-AGA and AGA-5ARi groups, while these were similar between them. From Day 14 to Day 60, groups became similar. In none of the days any patient progressed to Stages 3 to 5. Table 12 details clinical outcomes according to the WHO COVID Ordinal Outcomes.\u003c/p\u003e\n\u003cp\u003eIn regards with the ability to perform everyday activities in an independent manner (Table 13), 5ARi users had lower loss of ability to perform everyday activities compared to non-AGA, AGA no-5ARi, and overall no-5ARi users, in Days 0 and 3, while these differences remitted from Day 7 to Day 30. Non-AGA males had lower loss of ability for everyday activities compared to AGA no-5ARi in Days 0 and 3. Overall, 5ARi users had no loss of ability to perform activities independently, while approximately 10% and 25% of the capacity was lost in average for non-AGA and AGA no-5ARi males, respectively.\u003c/p\u003e\n\u003cp\u003eInability to perform everyday activities at Days 3, 7, 14 and 30 among AGA no-5ARi males were similar to Days 0, 3, 7 and 14 in non-AGA males, respectively. It means that the average loss of ability was similar between Day 3 in AGA no-5ARi males and Day 0 in non-AGA males, between Day 7 in AGA no-5ARi males and Day 3 in non-AGA males, between Day 14 in AGA no-5ARi males and Day 7 in non-AGA males, and between Day 30 in AGA no-5ARi males and Day 14 in non-AGA males.\u003c/p\u003e\n\u003cp\u003eIn terms of chest computerized tomography (CT) scan (Table 14), AGA-5ARi males had significantly less compromised lungs compared to non-AGA, AGA no-5ARi, and overall males, in Days 0 and 7 (Days 14 and 30 had insufficient number of patients for comparison purposes). Non-AGA males had less affected lungs compared to AGA no-5ARi at all times (Table 14).\u003c/p\u003e\n\u003cp\u003eIn terms of radiological progression, of 116 that underwent at least two CT scans, one (0.9%) had progression of lung lesion from the first to the second CT scan. More important improvement was observed between Days 0 and 7 for 5ARi users, between Days 7 and 14 for non-AGA males, and between Days 14 and 21 for AGA no-5ARi males.\u003c/p\u003e\n\u003cp\u003eAs shown in Table 15, all 305 patients remained in zero score in the Brescia Respiratory Severity Scale, and none of the patients required hospitalization, mechanical ventilation, or need of noradrenaline or dopamine, or died.\u003c/p\u003e\n\u003cp\u003eTable 10. COVID-19 clinical outcomes.\u003c/p\u003e\n\u003ctable border=\"1\" width=\"728\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cstrong\u003eClinical clustering\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cstrong\u003eOverall males \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 305)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003eNon-AGA males\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 192)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"113\"\u003e\n\u003cp\u003e\u003cstrong\u003eAGA no-5ARi males\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 71)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"170\"\u003e\n\u003cp\u003e\u003cstrong\u003eAGA-5ARi\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 52)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u003cstrong\u003ep-value\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(overall)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cstrong\u003eTime-to-treat\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e2.8 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.8\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e3.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.6\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"113\"\u003e\n\u003cp\u003e\u003cem\u003e4.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.3\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"170\"\u003e\n\u003cp\u003e\u003cem\u003e0.4 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.1 (Median = 0; 95%CI = 0.3)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p \u0026lt; 0.001 vs no-5ARi after adjustment for only symptomatic patients)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cstrong\u003eDuration of positive rtPCR (days)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e13.9 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 5.9\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e14.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 5.16\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026nbsp;(\u003cstrong\u003ep\u0026lt;0.0001 vs AGA no-ARi)\u003c/strong\u003e\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"113\"\u003e\n\u003cp\u003e\u003cem\u003e17.8 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 6.2\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"170\"\u003e\n\u003cp\u003e\u003cem\u003e8.2 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 3.0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p = 0.002 vs no-5ARi after adjustment for only symptomatic patients)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cstrong\u003eRemission not including anosmia (days)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(without (p-value)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e5.7 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 4.5\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e5.9 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 3.7\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003ep\u0026lt;0.0001 vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"113\"\u003e\n\u003cp\u003e\u003cem\u003e8.8 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 4.7\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"170\"\u003e\n\u003cp\u003e\u003cem\u003e0.7 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e \u003cem\u003e1.6 (Median = 0; 95%CI = 0.4)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p \u0026lt; 0.0001 vs no-5ARi after adjustment for only symptomatic patients)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cstrong\u003eRemission including anosmia (days)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(without (p-value)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e9.1 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 7.2\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e9.4 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 6.0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"113\"\u003e\n\u003cp\u003e\u003cem\u003e14.2 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 7.3\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"170\"\u003e\n\u003cp\u003e\u003cem\u003e0.9 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 2.0 (Median = 0; 95%CI = 0.6)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p \u0026lt; 0.001 vs no-5ARi after adjustment for only symptomatic patients)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eTable 11. COVID-19 course.\u003c/p\u003e\n\u003ctable border=\"1\" width=\"718\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u003cstrong\u003eClinical evolution\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003eOverall males \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 305)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003eNon-AGA males\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 192)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003eAGA no-5ARi males\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 71)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eAGA-5ARi\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 52)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cstrong\u003ep-value\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(overall)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u003cstrong\u003eDays -7 to -4\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e88.2 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 29.7 (Median = 100; 95%CI = 3.3) (84.1% asymptomatic)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e88.8 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 29.3 (Median = 100; 95%CI = 4.1) [165 (85.9%) asymptomatic]\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.03) vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e78.1 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 37.1 (Median = 100; 95%CI = 8.6) [48 (67.6%) asymptomatic]\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.002 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e100.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0 (Median = 100; 95%CI = 0) [52 (100%) asymptomatic]\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.03 vs no-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e0.008\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u003cstrong\u003eDays -3 to -1\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e39.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 42.7 (Median = 10; 95%CI = 4.7) (30.5% asymptomatic)\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e34.4 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 40.5 (Median = 10; 95%CI = 5.7) [46 (24.0%) asymptomatic] \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e20.4 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 28.0 (Median = 10; 95%CI = 6.5) [6 (8.4%) asymptomatic] \u003c/em\u003e\u003cstrong\u003e\u003cem\u003e\u0026nbsp;(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e85.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 35.2 (Median = 100; 95%CI = 9.6) [44 (84.6%) asymptomatic\u003c/em\u003e\u003cstrong\u003e\u003cem\u003e (p\u0026lt;0.0001 vs no-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u003cstrong\u003eDay 0\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e32.7 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 38.9 (Median = 10; 95%CI = 4.3) (18.3% asymptomatic)\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e24.5 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 33.8 (Median = 10; 95%CI = 4.8) [16 (8.3%) asymptomatic]\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e15.1 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 14.4 (Median = 10; 95%CI = 3.3) [0 (0%) asymptomatic] \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e87.1 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 31.9 (Median = 100; 95%CI = 8.7) [43 (82.7%) asymptomatic]\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u003cstrong\u003eDay 1\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e52.7 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 36.3 (Median = 50; 95%CI = 4.0) (19.4% asymptomatic)\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e48.8 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 34.6 (Median = 45; 95%CI = 4.9) [17 (8.9%) asymptomatic]\u0026nbsp; \u003c/em\u003e\u003cem\u003e(\u003cstrong\u003ep=0.021\u003c/strong\u003e \u003cstrong\u003evs AGA no-ARi)\u003c/strong\u003e\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e36.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 26.5 (Median = 40; 95%CI = 6.2) [1 (1.4%) asymptomatic]\u003c/em\u003e\u003cem\u003e \u003cstrong\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/strong\u003e\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e88.8 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 29.8 (Median = 100; 95%CI = 8.1) [43 (82.7%) asymptomatic]\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u003cstrong\u003eDay 2\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e71.3 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 31.2 (Median = 90; 95%CI = 3.4) (25.4% asymptomatic)\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e67.7 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 32.4 (Median = 90; 95%CI = 4.6) [29 (15.1%) asymptomatic]\u0026nbsp; \u003c/em\u003e\u003cem\u003e(\u003cstrong\u003ep=0.032\u003c/strong\u003e \u003cstrong\u003evs AGA no-ARi)\u003c/strong\u003e\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e61.9 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 26.9 (Median = 60; 95%CI = 6.3) [4 (5.6%) asymptomatic]\u003c/em\u003e\u003cstrong\u003e\u003cem\u003e (p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e97.3 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 6.9 (Median = 100; 95%CI = 3.8) [47 (90.4%) asymptomatic]\u0026nbsp;\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u003cstrong\u003eDay 3\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e83.2 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 23.6 (Median = 90; 95%CI = 2.6) (35.9% asymptomatic)\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e81.4 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 25.7 (Median = 90; 95%CI = 3.6) [58 (30.2%) asymptomatic]\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(\u003cstrong\u003ep=0.0007\u003c/strong\u003e \u003cstrong\u003evs AGA no-ARi)\u003c/strong\u003e\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e76.8 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 20.3 (Median = 80; 95%CI = 4.7) [5 (7.0%) asymptomatic] \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e98.9 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 6.9 (Median = 100; 95%CI = 1.8) [50 (96.2%) asymptomatic]\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003cstrong\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u003cstrong\u003eDay 7\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e95.5 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 10.5 (Median = 100; 95%CI = 1.2) (72.7% asymptomatic)\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e95.7 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 10.9 (Median = 100; 95%CI = 1.5) [143 (74.5%) asymptomatic]\u0026nbsp; \u003c/em\u003e\u003cem\u003e(\u003cstrong\u003ep=0.0004\u003c/strong\u003e \u003cstrong\u003evs AGA no-ARi)\u003c/strong\u003e\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.005 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e91.5 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 11.6 (Median = 95; 95%CI = 2.7) [34 (47.9%) asymptomatic] \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e100.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0 (Median = 100; 95%CI = 0) [52 (100%) asymptomatic]\u0026nbsp;\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.0002 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u003cstrong\u003eDay 14\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e99.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 4.2 (Median = 100; 95%CI = 0.5) (92.4% asymptomatic)\u0026nbsp;\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e99.1 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 4.5 (Median = 100; 95%CI = 0.6) [181 (94.3%) asymptomatic] \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003cem\u003e\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e98.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 4.8 (Median = 100; 95%CI = 1.1) [58 (81.7%) asymptomatic]\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e100.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0 (Median = 100; 95%CI = 0) [52 (100%) asymptomatic]\u0026nbsp;\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s (p=0.083) vs no-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e0.17 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u003cstrong\u003eDay 21\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e99.8 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.1 (Median = 100; 95%CI = 0.1) (62.8% asymptomatic)\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e99.8 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.2 (Median = 100; 95%CI = 0.2) [187 (97.4%) asymptomatic] \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003cem\u003e\u0026nbsp; \u0026nbsp;\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e99.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.3\u0026nbsp; (Median = 100; 95%CI = 0.3) [66 (93.0%) asymptomatic]\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003cem\u003e\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e100.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0 (Median = 100; 95%CI = 0) [52 (100%) asymptomatic]\u0026nbsp;\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs no-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e1.0 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u003cstrong\u003eDay 30\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e99.9 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.5 (Median = 100; 95%CI = 0.1) [190 (99.0%) asymptomatic]\u0026nbsp;\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e99.9 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.5 (Median = 100; 95%CI = 0.1) [190 (99.0%) asymptomatic]\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003cem\u003e\u0026nbsp; \u0026nbsp;\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e99.9 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0.8\u0026nbsp; (Median = 100; 95%CI = 0.2) [69 (97.2%) asymptomatic]\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003cem\u003e\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e100.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0 (Median = 100; 95%CI = 0) [52 (100%) asymptomatic]\u0026nbsp;\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs no-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e1.0 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"95\"\u003e\n\u003cp\u003e\u003cstrong\u003eDay 60\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e100.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0 (Median = 100; 95%CI = 0) (100% asymptomatic)\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e100.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0 (Median = 100; 95%CI = 0) [192 (100%) asymptomatic] \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003cem\u003e\u0026nbsp; \u0026nbsp;\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e100.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0 (Median = 100; 95%CI = 0) [71 (100%) asymptomatic]\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e100.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 0 (Median = 100; 95%CI = 0) [52 (100%) asymptomatic]\u0026nbsp;\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs no-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e1.0 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eAGA = androgenetic alopecia; 5ARi = Androgen receptor inhibitors; n/s = non-significant; CI = confidence interval\u003c/p\u003e\n\u003cp\u003eTable 12. WHO COVID-19 Ordinal Outcomes.\u003c/p\u003e\n\u003ctable border=\"1\" width=\"718\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eWHO COVID Ordinal Outcomes\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cstrong\u003eOverall males \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 305)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003eNon-AGA males\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 192)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cstrong\u003eAGA no-5ARi males\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 71)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003eAGA-5ARi\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 52)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u003cstrong\u003ep-value\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(overall)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eDay 0\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.0003 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eStage 1\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e199 (43.2%) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e125 (65.1%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e23 (33.4%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e51 (98.0%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eStage 2\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e116 (36.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e67 (34.9%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e48 (67.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1 (2.0%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eStages 3-5\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eDay 7\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.021 vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.015 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e0.021\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eStage 1\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e289 (91.7%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e180 (93.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e57 (80.3%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e52 (100%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eStage 2\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e26 (8.3%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e12 (6.2%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e14 (19.7%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eStages 3-5\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003evs\u003c/em\u003e Day 0\u003c/p\u003e\n\u003cp\u003e(\u003cem\u003ep-\u003c/em\u003evalue)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e\u0026lt; 0.0001\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e\u0026lt; 0.0001\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e\u0026lt; 0.0001\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1.0\u0026nbsp; (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eDay 14\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e0.90\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eStage 1\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e310 (98.4%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e190 (99.0%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e68 (95.8%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e52 (100%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eStage 2\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e5 (1.6%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e2 (1.0%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e3 (4.2%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eStages 3-5\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003evs\u003c/em\u003e Day 0\u003c/p\u003e\n\u003cp\u003e(\u003cem\u003ep-\u003c/em\u003evalue)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e\u0026lt; 0.0001\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e\u0026lt; 0.0001\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e\u0026lt; 0.0001\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1.0\u0026nbsp; (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003evs\u003c/em\u003e Day 7\u003c/p\u003e\n\u003cp\u003e(\u003cem\u003ep-\u003c/em\u003evalue)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e0.17 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.38 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e0.11 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1.0\u0026nbsp; (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eDays 30 and 60\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value\u003c/em\u003e)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eStage 1\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e305 (100%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e192 (100%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e71 (100%)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e52 (100%)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eStage 2\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003eStages 3-5\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"151\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"76\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eAGA = androgenetic alopecia; 5ARi = Androgen receptor inhibitors; n/s = non-significant; CI = confidence interval\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTable 13. Loss of ability to perform everyday activities due to COVID-19.\u003c/p\u003e\n\u003ctable border=\"1\" width=\"737\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"113\"\u003e\n\u003cp\u003e\u003cstrong\u003eLoss of ability of everyday activities (%)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003eOverall males \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 305)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003eNon-AGA males\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 192)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003eAGA no-5ARi males\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 71)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eAGA-5ARi\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 52)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cstrong\u003ep-value\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(overall)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"113\"\u003e\n\u003cp\u003e\u003cstrong\u003eDay 0\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e12.4 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 19.3 (Median = 0; 95%CI = 2.1) (63.2% full functional capacity)\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e10.8 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 17.2 (Median = 0; 95%CI = 2.4) [125 (65.1%) full functional capacity]\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(\u003cstrong\u003ep\u0026lt;0.0001 vs AGA no-ARi)\u003c/strong\u003e\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.0002 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e25.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 23.4 (Median = 20; 95%CI = 4.2) [23 (32.4%) full functional capacity]\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e0.4 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 2.7 (Median = 0; 95%CI = 0.7) [51 (98.1%) full functional capacity]\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"113\"\u003e\n\u003cp\u003e\u003cstrong\u003eDay 3\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e5.1 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 12.0 (Median = 0; 95%CI = 1.3) (78.4% full functional capacity)\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e4.1 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 9.7 (Median = 0; 95%CI = 1.4) [154 (80.2%) full functional capacity]\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(\u003cstrong\u003ep=0.0038\u003c/strong\u003e \u003cstrong\u003evs AGA no-ARi)\u003c/strong\u003e\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.029 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e11.7 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 18.0 (Median = 0; 95%CI = 4.2) [41 (57.7%) full functional capacity]\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e0 (Median = 0; 95%CI = 0) [52 (100%) full functional capacity]\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003cstrong\u003e\u003cem\u003e(p=0.003 vs no-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e0.0002\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"113\"\u003e\n\u003cp\u003e\u003cem\u003evs\u003c/em\u003e Day 0\u003c/p\u003e\n\u003cp\u003e(\u003cem\u003ep-\u003c/em\u003evalue)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.0001\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.0024\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.0004\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e0.98 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"113\"\u003e\n\u003cp\u003e\u003cstrong\u003eDay 7\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 6.4 (Median = 0; 95%CI = 0.7) (91.7% full functional capacity)\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e1.1 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 4.9 (Median = 0; 95%CI = 0.7) [180 (93.8%) full functional capacity]\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s (p=0.089) vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003cem\u003e\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e4.2 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 10.3 (Median = 0; 95%CI = 2.4) [57 (80.3%) full functional capacity]\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e0 (Median = 0; 95%CI = 0) [52 (100%) full functional capacity]\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s (p=0.062) vs no-5ARi) \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e0.12 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"113\"\u003e\n\u003cp\u003e\u003cem\u003evs\u003c/em\u003e Day 0\u003c/p\u003e\n\u003cp\u003e(\u003cem\u003ep-\u003c/em\u003evalue)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e\u0026lt; 0.0001 \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e\u0026lt; 0.0001\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e\u0026lt; 0.0001\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e0.98 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"113\"\u003e\n\u003cp\u003e\u003cem\u003evs\u003c/em\u003e Day 3\u003c/p\u003e\n\u003cp\u003e(\u003cem\u003ep-\u003c/em\u003evalue)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.0037\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.019\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.016\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e1.0 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"113\"\u003e\n\u003cp\u003e\u003cstrong\u003eDay 14\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.3 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 2.2 (Median = 0; 95%CI = 0.2) (98.4% full functional capacity)\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.1 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 1.0 (Median = 0; 95%CI = 0.1) [190 (98.6%) full functional capacity]\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003cem\u003e\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.8 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 4.4 (Median = 0; 95%CI = 1.0) [68 (95.8%) full functional capacity]\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e0 (Median = 0; 95%CI = 0) [52 (100%) full functional capacity]\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003cem\u003e(n/s (n/s vs no-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e1.0 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"113\"\u003e\n\u003cp\u003e\u003cem\u003evs\u003c/em\u003e Day 0\u003c/p\u003e\n\u003cp\u003e(\u003cem\u003ep-\u003c/em\u003evalue)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e\u0026lt; 0.0001\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e\u0026lt; 0.0001\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e\u0026lt; 0.0001\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e0.98 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"113\"\u003e\n\u003cp\u003e\u003cem\u003evs\u003c/em\u003e Day 7\u003c/p\u003e\n\u003cp\u003e(\u003cem\u003ep-\u003c/em\u003evalue)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.008\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.54 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.11 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e1.0 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"113\"\u003e\n\u003cp\u003e\u003cstrong\u003eDay 30\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0 (Median = 0; 95%CI = 0) (100% full functional capacity)\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0 (Median = 0; 95%CI = 0) [192 (100%) full functional capacity]\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003cem\u003e(n/s vs AGA no-ARi)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003cem\u003e\u0026nbsp;\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0 (Median = 0; 95%CI = 0) [71 (100%) full functional capacity]\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003cem\u003e(n/s vs AGA-5ARi)\u003c/em\u003e\u003cem\u003e\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e0 (Median = 0; 95%CI = 0) [52 (100%) full functional capacity]\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003cem\u003e(n/s vs no-5ARi)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e1.0 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eAGA = androgenetic alopecia; 5ARi = Androgen receptor inhibitors; n/s = non-significant; CI = confidence interval\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTable 14. Chest CT scan.\u003c/p\u003e\n\u003ctable border=\"1\" width=\"737\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"113\"\u003e\n\u003cp\u003e\u003cstrong\u003eChest CT scan (% of lungs affected)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003eOverall males \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 305)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003eNon-AGA males\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 192)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cstrong\u003eAGA no-5ARi males\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 71)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cstrong\u003eAGA-5ARi\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 52)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u003cstrong\u003ep-value\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(overall)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"113\"\u003e\n\u003cp\u003e\u003cstrong\u003eDay 0\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e21.1 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 19.1 (Median = 17.5; 95%CI = 2.1) [30 (25.9%) normal lungs of 116 patients that performed chest CT scan in day 0]\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e16.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 13.9 (Median = 10; 95%CI = 2.0) [15 (26.3%) normal lungs of 57 patients that performed chest CT scan in day 0]\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(\u003cstrong\u003ep\u0026lt;0.0001 vs AGA no-ARi)\u003c/strong\u003e\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.0007 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e32.3 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 20.2 (Median = 40; 95%CI = 4.7) [5 (10.9%) normal lungs of 46 patients that performed chest CT scan in day 0]\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e2.3 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 4.2 (Median = 0; 95%CI = 1.1) [10 (76.9%) normal lungs of 13 patients that performed chest CT scan in day 0]\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi) \u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"113\"\u003e\n\u003cp\u003e\u003cstrong\u003eDay 7\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e18.8 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 18.9 (Median = 10; 95%CI = 2.1) [19 (32.8%) normal lungs of 58 patients that performed chest CT scan in day 7]\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e15.3 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 12.8 (Median = 10; 95%CI = 1.8) [5 (26.3%) normal lungs of 19 patients that performed chest CT scan in day 7]\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(\u003cstrong\u003ep=0.02 vs AGA no-ARi)\u003c/strong\u003e\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.0015 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e29.3 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 19.8 (Median = 25; 95%CI = 4.6) [3 (11.1%) normal lungs of 27 patients that performed chest CT scan in day 7]\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs AGA-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e0.8 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 2.8 (Median = 0; 95%CI = 0.7) [11 (91.7%) normal lungs of 12 patients that performed chest CT scan in day 7]\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt;0.0001 vs no-5ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026lt; 0.0001\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"113\"\u003e\n\u003cp\u003e\u003cem\u003evs\u003c/em\u003e Day 0\u003c/p\u003e\n\u003cp\u003e(\u003cem\u003ep-\u003c/em\u003evalue)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.32 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.091 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.62 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e1.0 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"113\"\u003e\n\u003cp\u003e\u003cstrong\u003eDay 14\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e18.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 16.0 (Median = 10; 95%CI = 1.8) [16 (24.6%) normal lungs of 65 patients that performed chest CT scan in day 14]\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e11.1 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 11.2 (Median = 10; 95%CI = 1.6) [14 (38.9%) normal lungs of 36 patients that performed chest CT scan in day 14]\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p\u0026lt; 0.0001 \u0026nbsp;vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003cem\u003e\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e28.6 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 16.2 (Median = 25; 95%CI = 3.8) [2 (7.1%) normal lungs of 28 patients that performed chest CT scan in day 14]\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e10 (01 patient that performed chest CT scan in day 14)\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003cem\u003e(n/a)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"113\"\u003e\n\u003cp\u003e\u003cem\u003evs\u003c/em\u003e Day 0\u003c/p\u003e\n\u003cp\u003e(\u003cem\u003ep-\u003c/em\u003evalue)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.15 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.12 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.45 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e1.0 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"113\"\u003e\n\u003cp\u003e\u003cem\u003evs\u003c/em\u003e Day 7\u003c/p\u003e\n\u003cp\u003e(\u003cem\u003ep-\u003c/em\u003evalue)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.21 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.28 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.85 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e1.0 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"113\"\u003e\n\u003cp\u003e\u003cstrong\u003eDay 30\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(p-value)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e19.1 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 13.0 (Median = 17.5; 95%CI = 1.4) [4 (12.5%) normal lungs of 32 patients that performed chest CT scan in day 30]\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e10.0 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 7.9 (Median = 10; 95%CI = 1.1) [3 (25.0%) normal lungs of 12 patients that performed chest CT scan in day 30]\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e(p=0.004 vs AGA no-ARi)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a vs AGA-5ARi)\u003c/em\u003e\u003cem\u003e\u0026nbsp;\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e24.5 \u003c/em\u003e\u003cem\u003e\u0026plusmn;\u003c/em\u003e\u003cem\u003e 12.4 (Median = 25; 95%CI = 2.9) [1 (5.0%) normal lungs of 20 patients that performed chest CT scan in day 30]\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a)\u003c/em\u003e\u003cem\u003e\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003eNo patients performed chest CT scan in day 30\u0026nbsp;\u0026nbsp; \u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e(n/a)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003en/a\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"113\"\u003e\n\u003cp\u003e\u003cem\u003evs\u003c/em\u003e Day 0\u003c/p\u003e\n\u003cp\u003e(\u003cem\u003ep-\u003c/em\u003evalue)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.41 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.27 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.13 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e1.0 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"113\"\u003e\n\u003cp\u003e\u003cem\u003evs\u003c/em\u003e Day 7\u003c/p\u003e\n\u003cp\u003e(\u003cem\u003ep-\u003c/em\u003evalue)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.44 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.36 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.51 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e1.0 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"113\"\u003e\n\u003cp\u003e\u003cem\u003evs\u003c/em\u003e Day 14\u003c/p\u003e\n\u003cp\u003e(\u003cem\u003ep-\u003c/em\u003evalue)\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.70 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.97 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"132\"\u003e\n\u003cp\u003e\u003cem\u003e0.38 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"142\"\u003e\n\u003cp\u003e\u003cem\u003e1.0 (n/s)\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"85\"\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eTable 15. COVID-19 progression outcomes.\u003c/p\u003e\n\u003ctable border=\"1\" width=\"718\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eDisease progression outcomes\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cstrong\u003eOverall males \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 305)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cstrong\u003eNon-AGA males\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 192)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cstrong\u003eAGA no-5ARi males\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 71)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cstrong\u003eAGA-5ARi\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(n = 52)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e\u003cstrong\u003ep-value\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(overall)\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eBrescia COVID-19 Respiratory Severity Scale (0-4)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e0 \u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e1.00 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eHospitalization\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e1.00 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eMechanical ventilation\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e1.00 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eNoradrenaline/dopamine\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e1.00 (n/s)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"174\"\u003e\n\u003cp\u003e\u003cstrong\u003eDeath\u003c/strong\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"119\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"123\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"104\"\u003e\n\u003cp\u003e\u003cem\u003e0\u003c/em\u003e\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"94\"\u003e\n\u003cp\u003e1.00 (n/s)\u0026nbsp;\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e"},{"header":"Discussion","content":"\u003cp\u003e\u003cem\u003eThe importance of clinical characterization during early COVID-19\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eTo our knowledge, this is the first thorough characterization of COVID-19 in its earlier stages. The improvement on the knowledge regarding COVID-19 clinical characteristics and course is essential for earlier detection and more successful pharmacological antiviral approaches, that can eventually lead to decreased need for hospitalization, mechanical ventilation, and other complications.\u003c/p\u003e\n\u003cp\u003eThe large heterogeneity of clinical manifestations among infected patients and the insistent requirement for the presence of fever as a sign of suspected COVID-19 are probably the major reasons for the persistent lack of an accurate characterization of how patients behave clinically during the first stage of COVID-19 (11-13).\u003c/p\u003e\n\u003cp\u003eIndeed, when actively questioned, unspecific symptoms that patients tend to underestimate are actually key signs for an early diagnosis of COVID-19. During the present prospective study, four clinical clusters of COVID-19 manifestations have been identified: anosmia-Ageusia dominance, dengue-like, URTI-like, and GI infection-like clinical presentation, besides those cases that mix two or more of these clusters, or only present unspecific symptoms, such as fever or headache.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eBaseline characteristics, diseases that could lead to worse outcomes in COVID-19 and use of drug classes that could attenuate or aggravate COVID-19 presentation were similar between groups, which hampers from population selection bias for the present analysis.\u003c/p\u003e\n\u003cp\u003eThe slightly lower choice for hydroxychloroquine in the AGA group may be due to the apparent higher prevalence of cardiovascular and metabolic diseases in this group, as a clinical attempt to avoid cardiovascular adverse effects from its use. Since all other drugs, including the additional ones, were used at a similar extent between groups, differences in terms of COVID-19 progression cannot be justified by these differences.\u003c/p\u003e\n\u003cp\u003eIn terms of therapies prescribed as additional approaches aiming to provide a more comprehensive protection, Xa factor inhibitors tended to be given to intermediate whereas enoxaparin was given to patients at high risk of developing thrombosis, although these anticoagulants were prescribed at a subjective, clinical judgement basis. Since time-to-treat was higher among higher-risk patients, partially due to the slower progression and longer period until appearance of anosmia or ageusia, patients under enoxaparin were coincidently prescribed with glucocorticoids. Although both anticoagulants and glucocorticoids could decrease disease progression and duration, they were insufficient to equalize these characteristics to patients at lower risk. However, although uncertain, it is possible that the use of these drug classes before seven days of disease may have contributed to the lack of progression to hospitalization and other more severe outcomes.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eA thorough description of the patients\u0026rsquo; medical history and a complete characterization of the COVID-19 presentation are critical for an accurate analysis of the predictions, and to provide a more appropriate and accurate therapeutic approach.\u003c/p\u003e\n\u003cp\u003eCOVID-19 course and severity\u003c/p\u003e\n\u003cp\u003eOverall, in regards with clinical manifestations, mean time to appearance of symptoms were less different compared to duration.\u003c/p\u003e\n\u003cp\u003eDisease duration was notably higher in AGA males not treated with dutasteride, in accordance with literature (5,6,14,16,17), whereas the chronic use of dutasteride likely prevented the appearance of symptoms in almost all patients, possibly due to its indirect inhibitory effects on the expression of TMPRSS-2, a protein that facilitates the SARS-CoV-2 entry in the cells. This is in full correspondence with recent literature on dutasteride ability to diminish severe COVID-19 in hospitalized patients (18). Whether this is applicable for finasteride, another drug of the same class as dutasteride, is uncertain, although unlikely, due to the narrower actions of finasteride, compared to dutasteride.\u003c/p\u003e\n\u003cp\u003eIf one considers that dutasteride exerted an important role in COVID-19 attenuation, the larger use of dutasteride in AGA no-5ARi patients compared to non-AGA when COVID-19 was diagnosed could have attenuated the differences in disease severity and duration between these groups. Although differences between non-AGA and AGA no-5ARicould have been more pronounced in case dutasteride had not been used, differences still remained, which demonstrates that benefits provided by dutasteride are at least partially due to its chronic and more structural effects.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAlthough it is unlikely that there were differences between hydroxychloroquine, nitazoxanide or ivermectin, these treatments will be compared in a specific head-to-head comparison analysis. Unlike dutasteride, spironolactone seems to have provided additional benefits, even when prescribed after COVID-19 diagnosis, at least when diagnosed early, which meets corresponding rationale and clinical observations (19-21), although specific analyses and an RCT is currently ongoing to confirm this finding.\u003c/p\u003e\n\u003cp\u003eClinical recovery speed became noticeably quicker after Day 1 of treatment, regardless of the time-to-treat and drug combination offered, which reinforces the hypothesis on the efficacy of the use of early treatments for COVID-19.\u003c/p\u003e\n\u003cp\u003eCompared to other groups, AGA no-5ARi had slower clinical course, although not milder progression of symptoms until diagnosis of COVID-19, which may justify why this group was more affected since Days -7 to -4.\u003c/p\u003e\n\u003cp\u003eWhile disease duration was shorter in non-AGA, the speed of clinical recovery was similar between AGA no-5ARi and non-AGA, probably because AGA males experimented a longer period of clinical manifestations until treatment began (longer time-to-treat). When summed, the pre- and post-treatment initiation periods were longer in AGA no-5ARi males.\u003c/p\u003e\n\u003cp\u003eAlthough time-to-treat was apparently correlated with duration of manifestations in a linear manner, at least among our patients, any delay in the initiation of one of the proposed anti-COVID therapies did not affect the ability to prevent hospitalization.\u003c/p\u003e\n\u003cp\u003eThe lack of correlation between clinical and radiological improvements may be due to the extensively described persistence of the imaging of compromised lungs for several weeks after COVID-19.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe current prevailing criteria used for COVID-19 severity, including WHO COVID Scale and Brescia Respiratory Scale, were found to be inappropriate as being the only scales to be employed for studies in patients in early COVID-19. \u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eComparison with current literature\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eOverall, when compared to current literature on COVID-19 clinical characterization of COVID-19, the percentages of each symptom described in the present study were similar. However, unusual or less noticed symptoms, including diarrhea and myalgia, that only recently have been reported as possible presentations of COVID-19, were present in a substantial number of patients (24-27).\u003c/p\u003e\n\u003cp\u003eThe rate and speed of recovery were overwhelmingly better compared to untreated patients with similar characteristics. Indeed, our previous interim analysis of the present prospective observational study demonstrated the undisputable differences (11-13;24;25), which precluded us from performing a full placebo-control study in our RCT.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eFinal discussion \u003c/em\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThis is a comprehensive prospective observational study that evaluated different aspects of COVID-19 in males, as well as its clinical course when diagnosed and treated early.\u003c/p\u003e\n\u003cp\u003eAGA males presented larger number, more severe, and longer symptom duration, and prolonged period of time until COVID-19 clinical and laboratorial remission, compared to non-AGA males. However, the chronic use of dutasteride seemed not only seemed to completely mitigate the additional risk of AGA in males, but also to decrease COVID-19 severity to levels substantially lower than non-AGA males.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe early use of medications proposed as being effective for COVID-19 due to their direct or indirect antiviral therapy, at least in patients diagnosed during the first stage of the disease, has demonstrated indisputable improved COVID-19 related clinical outcomes compared to the extensively described COVID-19 clinical course, and avoided the progression to more severe states, including hospitalization and mechanical ventilation, in all patients included in the present analysis. The dramatic improvement occurred in an independent manner from all major factors of higher risk for COVID-19 complications, demonstrating that obesity, comorbidities, aging and AGA as risk factors can be completely mitigated by the combination of more sensitive clinical suspect with early pharmacological approaches.\u003c/p\u003e\n\u003cp\u003eWhether the earlier diagnosis of COVID-19 based on a more sensitive case-detection basis had at least a partial role in the improved outcomes compared to the literature is uncertain, although possible.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe overwhelming differences indicate that full placebo control RCTs for early COVID-19 may be ethically questionable. Instead, double blind therapies with different options, or mixed open label placebo control for COVID-19 should be considered.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eMales with androgenetic alopecia (AGA) presented more pronounced COVID-19 compared to non-AGA males, which was fully mitigated by chronic dutasteride use, that yielded fewer symptoms, even when compared to non-AGA males.\u003c/p\u003e\n\u003cp\u003eDrug combinations between azithromycin and hydroxychloroquine, nitazoxanide, or ivermectin, for patients recently diagnosed during the first stage of COVID-19, had noticeable improved clinical outcomes and complete remission of hospitalization, at least in the population of the present study, and completely mitigated additional risks due to obesity, aging, presence of comorbidities, or AGA.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003eFunding statements\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe funding of present study was fully supported by Corpometria Institute (Brasilia, DF, Brazil) and Applied Biology Inc (Irvine, CA, USA).\u003c/p\u003e\n\u003cp\u003eConflict of interest statement\u003c/p\u003e\n\u003cp\u003eAuthors declare no conflict of interest with any of the pharmacological interventions proposed by the present study..\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003e\u003cspan style=\"color: #000000;\"\u003eGuan W, Ni Z, Hu Y, et al. 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Coronavirus Disease 2019 Case Surveillance - United States, January 22-May 30, 2020. MMWR Morb Mortal Wkly Rep 2020; 69:759.\u003c/a\u003e\u003c/span\u003e\u003c/li\u003e\n\u003cli\u003e\u003cspan style=\"color: #000000;\"\u003eCadegiani, F.A. Repurposing existing drugs for COVID-19: an endocrinology perspective.\u003cem\u003eBMC Endocr Disord\u003c/em\u003e\u0026nbsp;\u003cstrong\u003e20,\u0026nbsp;\u003c/strong\u003e149 (2020). https://doi.org/10.1186/s12902-020-00626-0\u003c/span\u003e\u003c/li\u003e\n\u003cli\u003e\u003cspan style=\"color: #000000;\"\u003ePascarella G, Strumia A, Piliego C, Bruno F, Del Buono R, Costa F, Scarlata S, Agr\u0026ograve; FE. COVID-19 diagnosis and management: a comprehensive review. J Intern Med. 2020 Aug;288(2):192-206. doi: 10.1111/joim.13091.\u003c/span\u003e\u003c/li\u003e\n\u003cli\u003e\u003cspan style=\"color: #000000;\"\u003eMcCoy J, Wambier CG, Herrera S, Va\u0026ntilde;o-Galv\u0026aacute;n S, Gioia F, Comeche B, Ron R, Serrano-Villar S, Iwasiow RM, Tayeb MA, Cadegiani FA, Mesinkovska NA, Shapiro J, Sinclair R, Goren A. Androgen Receptor Genetic Variant Predicts COVID-19 Disease Severity: A Prospective Longitudinal Study of Hospitalized COVID-19 Male Patients. J Eur Acad Dermatol Venereol. 2020 Sep 25.\u003c/span\u003e\u003c/li\u003e\n\u003cli\u003e\u003cspan style=\"color: #000000;\"\u003e\u003ca style=\"color: #000000;\" href=\"https://www.uptodate.com/contents/coronavirus-disease-2019-covid-19-clinical-features/abstract/56\"\u003eKragholm K, Andersen MP, Gerds TA, et al. Association between male sex and outcomes of Coronavirus Disease 2019 (Covid-19) - a Danish nationwide, register-based study. 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Spironolactone: An Anti-androgenic and Anti-hypertensive Drug That May Provide Protection Against the Novel Coronavirus (SARS-CoV-2) Induced Acute Respiratory Distress Syndrome (ARDS) in COVID-19. Front Med (Lausanne). 2020 Jul 28;7:453. doi: 10.3389/fmed.2020.00453.\u003c/span\u003e\u003c/li\u003e\n\u003cli\u003e\u003cspan style=\"color: #000000;\"\u003eCadegiani FA, Goren A, Wambier CG. Spironolactone may provide protection from SARS-CoV-2: Targeting androgens, angiotensin converting enzyme 2 (ACE2), and renin-angiotensin-aldosterone system (RAAS). Med Hypotheses. 2020 Jul 16;143:110112. doi: 10.1016/j.mehy.2020.110112.\u003c/span\u003e\u003c/li\u003e\n\u003cli\u003e\u003cspan style=\"color: #000000;\"\u003eMachin D, Campbell MJ, Tan SB, Tan SH (2009) Sample size tables for clinical studies. 3\u003csup\u003erd\u003c/sup\u003e Chichester: Wiley-Blackwell.\u003c/span\u003e\u003c/li\u003e\n\u003cli\u003e\u003cspan style=\"color: #000000;\"\u003eRichardson S, Hirsch JS, Narasimhan M, Crawford JM, McGinn T, Davidson KW; the Northwell COVID-19 Research Consortium, Barnaby DP, Becker LB, Chelico JD, Cohen SL, Cookingham J, Coppa K, Diefenbach MA, Dominello AJ, Duer-Hefele J, Falzon L, Gitlin J, Hajizadeh N, Harvin TG, Hirschwerk DA, Kim EJ, Kozel ZM, Marrast LM, Mogavero JN, Osorio GA, Qiu M, Zanos TP. Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area. 2020 May 26;323(20):2052-2059. doi: 10.1001/jama.2020.6775. Erratum in: JAMA. 2020 May 26;323(20):2098.\u003c/span\u003e\u003c/li\u003e\n\u003cli\u003e\u003cspan style=\"color: #000000;\"\u003e\u003ca style=\"color: #000000;\" href=\"https://www.uptodate.com/contents/coronavirus-disease-2019-covid-19-clinical-features?topicRef=126981\u0026amp;source=see_link\"\u003ehttps://www.uptodate.com/contents/coronavirus-disease-2019-covid-19-clinical-features?topicRef=126981\u0026amp;source=see_link\u003c/a\u003e (Last accessed September 29th, 2020)\u003c/span\u003e\u003c/li\u003e\n\u003cli\u003e\u003cspan style=\"color: #000000;\"\u003eKim GU, Kim MJ, Ra SH, Lee J, Bae S, Jung J, Kim SH. Clinical characteristics of asymptomatic and symptomatic patients with mild COVID-19. Clin Microbiol Infect. 2020 Jul;26(7):948.e1-948.e3. doi: 10.1016/j.cmi.2020.04.040.\u003c/span\u003e\u003c/li\u003e\n\u003cli\u003e\u003cspan style=\"color: #000000;\"\u003eLechien JR, Chiesa-Estomba CM, De Siati DR et al. Olfactory and gustatory dysfunctions as a clinical presentation of mild-to-moderate forms of the coronavirus disease (COVID-19): a multicenter European study. Eur Arch Otorhinolaryngol. 2020 Aug;277(8):2251-2261. doi: 10.1007/s00405-020-05965-1.\u003c/span\u003e\u003c/li\u003e\n\u003cli\u003e\u003cspan style=\"color: #000000;\"\u003eTong JY, Wong A, Zhu D, Fastenberg JH, Tham T. The Prevalence of Olfactory and Gustatory Dysfunction in COVID-19 Patients: A Systematic Review and Meta-analysis. Otolaryngol Head Neck Surg. 2020 Jul;163(1):3-11. doi: 10.1177/0194599820926473.\u003c/span\u003e\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003e\u003cspan style=\"color: #000000;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"COVID-19, SARS-CoV-2, antiandrogen, dutasteride, spironolactone","lastPublishedDoi":"10.21203/rs.3.rs-88952/v2","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-88952/v2","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground: \u003c/strong\u003eCOVID-19 is a multisystemic disorder caused by SARS-CoV-2 that has led to more than 1,000,000 deaths until the end of September 2020. Besides aging, obesity, and metabolic diseases, males, in particular those affected by androgenetic alopecia (AGA), are at higher risk to develop complications. While policies for diagnosis of COVID-19 still focus on the presence of fever or shortness of breath, these symptoms tend to appear only in later and more severe stages of the disease, when viral infectivity is already, hampering potential antiviral approaches. In addition, clinical characterization of early COVID-19 stages still lacks. The objective of the present observational study was to characterize prospectively clinical features and predictors in males during early COVID-19, and to evaluate whether the combination of more sensitive case-detection, early diagnosis and early pharmacological approaches would lead to improved clinical outcomes.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eMaterial and methods:\u003c/strong\u003e Males confirmed for COVID-19 through positive real-time polymerase chain reaction (rtPCR) for SARS-CoV-2 with less than seven days of symptoms and three days of COVID-19 confirmation were divided into non-AGA, AGA not using dutasteride (AGA no-5ARi), and AGA using dutasteride (AGA-5ARi) groups. Patients were actively characterized for baseline and lifestyle characteristics, 22 different diseases, 42 drug classes and vaccines, 26 different symptoms, and 10 different parameters to measure COVID-19 related clinical outcomes. Azithromycin plus hydroxychloroquine, nitazoxanide 500mg or ivermectin, with or without dutasteride or spironolactone were used. Patients were then evaluated for COVID-19 clinical course, duration, and progression.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eResults:\u003c/strong\u003e \u0026nbsp;A total of 305 males were enrolled, including 192 non-AGA, 71 AGA non-ARi and 52 AGA-5ARi. The prevailing symptoms were anosmia (68.9%), ageusia (61.2%), headache\u0026nbsp;(37.5%), hyporexia\u0026nbsp;(37.5%), fatigue (35.2%), dry cough\u0026nbsp;(35.2%), fever or “feverish” (33.9%), thoracic pain (32.4%), conjunctival hyperemia\u0026nbsp;(29.5%), weakness (29.5%), nasal congestion or rhinorrhea (28.6% and myalgia (26.3%). ARi users remained asymptomatic throughout COVID-19 treatment in 82.7% (43 of 52 males), and the only symptoms present in more than two AGA-5ARi patients were anosmia and ageusia. Thoracic, upper back, lower back pain, arthralgia affected a higher percentage of AGA no-5ARi than non-AGA males (all p \u0026lt; 0.01), but had similar durations (p = n/s). Anosmia, ageusia, headache, fatigue, myalgia and conjunctival hyperemia were more commonly present and lasted for longer periods in AGA no 5ARi patients (all p \u0026lt; 0.01). Self-reported perception of “sinusitis” and “sore throat”, dry cough and weakness were equally present (p = n/s) but had longer duration in AGA no-5ARi males (all p \u0026lt; 0.01).\u003c/p\u003e\u003cp\u003eThe different drug combinations were equally distributed (p \u0026gt; 0.05). AGA males were more severely affected than non-AGA in terms of duration of clinical manifestations (\u003cem\u003e9.4 ± 6.0 vs 14.2 ± 7.3 days, p \u0026lt; 0.0001)\u003c/em\u003e and viral shedding (\u003cem\u003e14.0 ± 5.2 vs 17.8 ± 6.2 days; p \u0026lt; 0.0001), \u003c/em\u003ewhich has been fully mitigated by the chronic use of dutasteride (p \u0026lt; 0.0001 and \u0026lt; 0.0001 vs non-AGA and AGA no-5ARi, respectively, for both clinical manifestations and viral shedding duration. Non-AGA, AGA no-5ARi and AGA-5ARi achieved 95% clinical recovery in seven, 14, and two days, respectively. In regards functional capacity, AGA no -5ARi males at Days 30, 14, 7, and 3 after treatment initiation were similar than non-AGA at Days 14, 7, 3, and 0, respectively (all p \u0026gt; 0.9). None of the patients required hospitalization and mechanical ventilation, or progressed to more severe states.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eConclusion:\u003c/strong\u003e The combination of more sensitive and earlier diagnosis of COVID-19 with \u0026nbsp;a variety of drug combinations with preliminary demonstration of direct or indirect antiviral activity against SARS-CoV-2 demonstrated indisputable improved COVID-19 related clinical outcomes compared to the extensively described COVID-19 clinical course, and avoided the progression to more severe state in all patients included in the present analysis, independently of risk factors, demonstrating that any additional risk factor can be completely mitigated by the combination of more sensitive clinical suspect with early pharmacological approaches.\u003c/p\u003e\u003cp\u003eThe overwhelming differences indicate that full placebo control RCTs for early COVID-19 may be ethically questionable. Instead, double blind therapies with different options, or mixed open label placebo control for COVID-19 should be considered.\u003c/p\u003e","manuscriptTitle":"Azithromycin with nitazoxanide, hydroxychloroquine or ivermectin, with or without dutasteride, for early stage COVID-19: an open-label prospective observational study in males with mild-to-moderate COVID-19 (The Pre-AndroCoV Male Trial).","msid":"","msnumber":"","nonDraftVersions":[{"code":2,"date":"2020-10-20 13:26:34","doi":"10.21203/rs.3.rs-88952/v2","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}},{"code":1,"date":"2020-10-08 19:53:59","doi":"10.21203/rs.3.rs-88952/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"c5b2ef32-daf4-4a9c-b30d-3794b1f92e10","owner":[],"postedDate":"October 20th, 2020","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":832059,"name":"Infectious Diseases"},{"id":832060,"name":"Critical Care \u0026 Emergency Medicine"}],"tags":[],"updatedAt":"2020-10-08T19:53:59+00:00","versionOfRecord":[],"versionCreatedAt":"2020-10-20 13:26:34","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v2","identity":"rs-88952","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-88952","identity":"rs-88952","version":["v2"]},"buildId":"omnImTCwR2MFx8CMYfrG7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}