Prevalence of Tuberculosis/HIV Coinfection Among Adults with Pulmonary and Extrapulmonary Tuberculosis in Cairo University Hospitals

Prevalence of Tuberculosis/HIV Coinfection Among Adults with Pulmonary and Extrapulmonary Tuberculosis in Cairo University Hospitals | 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 Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Prevalence of Tuberculosis/HIV Coinfection Among Adults with Pulmonary and Extrapulmonary Tuberculosis in Cairo University Hospitals yousri mohammed akl, sabah ahmed hussein, ahmed cordie abdelhamid, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8745296/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 6 You are reading this latest preprint version Abstract Background: Pulmonary Tuberculosis (TB) and human immunodeficiency virus (HIV) have been closely linked since the emergence of the acquired immunodeficiency syndrome (AIDS). HIV infection in patients with active TB poses significant challenges for diagnosis and treatment. This co-infection remains a major global public health challenge, particularly in resource-limited settings, as HIV significantly increases the risk of progression from latent TB infection to active disease. Aim: this study aimed to estimate the prevalence of HIV infection among adults diagnosed with pulmonary and extrapulmonary tuberculosis at Cairo University Hospitals. Methods: A cross-sectional study was conducted over one year (October 2022 to October 2023) and included 100 adult TB patients who met the inclusion criteria, recruited from both inpatient and outpatient settings. Data collection involved comprehensive history-taking, laboratory investigations for TB diagnosis, and performance status assessment. HIV screening was performed using a rapid blood test (Determine HIV-1/2), with positive cases confirmed by polymerase chain reaction (PCR) and CD4 count measurement. Prevalence was calculated with 95% confidence intervals (CI). Results: Among the 100 TB patients analyzed, two (2%) tested positive for HIV (95% CI: 0.2–7.0%). The mean age of participants was 35.9 ± 14.7 years (range: 18–75 years), and 46% were male. Pulmonary TB accounted for 24% of cases, while 76% had extrapulmonary involvement. Both HIV-positive cases had extrapulmonary TB and CD4 counts <200 cells/μL. Ninety-nine percent of patients had a good performance status (PS 0–2). Conclusion: the prevalence of HIV coinfection among TB patients in this study was low in the study population, it supports continued implementation of routine integrated screening for HIV in TB patients and for TB in people living with HIV to improve early detection and treatment outcome. HIV Tuberculosis Coinfection Cairo Extrapulmonary Tuberculosis Prevalence Early Detection Figures Figure 1 Figure 2 Figure 3 Introduction Tuberculosis (TB), caused by Mycobacterium tuberculosis , remains a leading infectious cause of death globally. Despite being a preventable and treatable disease, TB affects millions of people worldwide, with an estimated 10 million new cases and 1.5 million deaths annually ( 1 ). The Human Immunodeficiency Virus (HIV), the causative agent of Acquired Immunodeficiency Syndrome (AIDS), weakens the immune system and significantly increases the risk of TB reactivation. Consequently, TB is a leading cause of death among people living with HIV. TB-HIV coinfection is a major cause of severe morbidity and mortality and has emerged as a significant challenge to TB control efforts in Egypt ( 2 ). In Egypt, according to the national TB Control Program, TB incidence has declined over recent decades; however, the burden of TB/HIV coinfection remains under-investigated with limited published data from healthcare facilities ( 3 ). The present study aims to estimate the prevalence of HIV coinfection among adult TB patients at Cairo University Hospitals to provide updated local data for guiding screening and management policies. Methods Study Design and Setting A descriptive cross-sectional study was conducted at Cairo University Hospitals in collaboration with the Endemic Medicine Department, Faculty of Medicine, Cairo University, between October 2022 and October 2023. Study Population The study included 100 adult patients (aged > 18 years) diagnosed with either pulmonary TB (PTB) or extrapulmonary TB (EPTB). Participants were recruited from both outpatient clinics and inpatient units during the study period. All newly diagnosed TB patients presenting during the study timeframe were invited to participate. Inclusion required age ≥ 18 years, confirmed diagnosis of active TB (pulmonary or extrapulmonary) according to national and WHO guidelines, provision of written informed consent and agreement to undergo HIV testing. Patients with latent TB and those who had been cured of TB were excluded from the study. A total of 103 patients were initially enrolled. Three patients were excluded from final analysis: one was aged < 18 years (17 years), and two had incomplete laboratory data. Thus, 100 patients were included in the final analysis. Data Collection All participants underwent detailed history-taking, including age, sex, smoking history, comorbidities, and special habits (biomass exposure, raising birds, addiction). This was followed by a clinical examination and laboratory investigations. The diagnosis of TB was confirmed according to national Egyptian and WHO guidelines, utilizing radiology and microbiological tests such as acid-fast bacilli (AFB) staining, GeneXpert, tuberculin skin test (TST), QuantiFERON-TB Gold assay, histopathological examination of biopsied tissues for extrapulmonary TB cases and adenosine deaminase (ADA) testing for fluid specimens (pleural, peritoneal, abscess). Performance Status Assessment Performance status was assessed using the Eastern Cooperative Oncology Group (ECOG) scale ( 4 ). This scale measures a patient's level of functioning in terms of their ability to care for themselves, perform daily activities, and their physical capability. Scores were categorized as good performance status (PS 0, 1, and 2) or poor performance status (PS 3 and 4) ( 4 ). Table (1) ECOG grades Performance Status All patients confirmed with TB were screened for HIV using a rapid blood test (determine” HIV-1\2, Abbott Laboratories). the procedure involved pricking the patient's finger with a sterile lancet and placing a droplet of blood on the test kit using a pipette. Results were obtained within 2 minutes. According to the manufacturer, this test has a sensitivity of 100% and specificity of 99.8%. Patients also underwent screening for hepatitis B virus (HBV), hepatitis C virus (HCV), and syphilis using rapid test kits (3H combo rapid test for HIV/HBV/HCV and TP rapid test for Treponema pallidum). Confirmatory testing: All patients with positive rapid HIV tests underwent confirmatory testing using polymerase chain reaction (PCR) for HIV RNA. CD4 count measurement was performed at baseline for HIV-positive patients. No confirmatory testing was performed for negative rapid tests Pre and post test counseling: All patients received pre-test counseling regarding the implications of HIV testing. Patients who tested positive received post-test counseling and were referred to the infectious diseases clinic for antiretroviral therapy (ART) initiation and ongoing care, in accordance with national guidelines. Ethical considerations: The study was reviewed and approved by the Ethical Review Committee of the Faculty of Medicine, Cairo University (Approval Code: MS-557-2022; Date: September 15, 2022). All participants provided written informed consent before enrollment. The study did not include any patient identifiers to ensure confidentiality. Statistical analysis: Data were analyzed using SPSS version 26 (IBM Corp., Armonk, NY, USA). Categorical variables were presented as frequencies and percentages. Continuous variables were presented as mean ± standard deviation (SD) and range. HIV prevalence was calculated with 95% confidence intervals (CI) using the Wilson score method. Given the descriptive nature of this prevalence study, no a priori sample size calculation was performed; a convenience sample of all eligible patients presenting during the study period was enrolled. No power calculation was applicable as hypothesis testing was not conducted. No statistical comparisons were made between PTB and EPTB groups due to the small number of HIV-positive cases. Results Characteristics of patients with TB Table 2: demographic data in all studied TB patients Studied patients (N = 100) Age (years) Mean ±SD 35.9 ± 14.7 Min - Max 18 – 75 Sex Male 46 46% Female 54 54% Residence Rural 36 36% Urban 64 64% Special habits Smoking 34 34% Addiction 2 2% Raising Birds 42 42% Biomass Exposure 26 26% Comorbidities DM (Diabetes mellitus) 11 11% HTN(Hypertension) 14 14% IHD (Ischemic heart disease) 5 5% CKD (Chronic kidney disease) 2 2% Liver cirrhosis 1 1% RA (Rheumatoid arthritis) 2 2% Hepatitis B 2 2% SLE (Systemic lupus erythematosus) 1 1% The mean age of the patients was 35.9 ± 14.7 years. Of the 100 patients, 46 (46%) were male and 54 (54%) were female. Sixty-four patients (64%) resided in urban areas, while 36 (36%) were from rural areas. Regarding special habits, 34 patients (34%) were smokers, 2 (2%) had a history of addiction, 42 (42%) reported raising birds, and 26 (26%) had exposure to biomass fuel. Comorbidities included hypertension (14%), diabetes mellitus (11%), and other conditions as detailed in Table 2. Table (3): Description of TB clinical type in all studied TB patients. Studied patients (N = 100) Clinical type Pulmonary 24 24% Extra-pulmonary 76 76% Pulmonary TB (N = 24) sputum AFB 11 45.8% sputum Gene expert 1 4.2% sputum PCR 2 8.3% TBLB 4 16.7% lung granuloma 1 4.2% BAL Gene expert 2 8.3% BAL PCR 2 8.3% Bronchial biopsy 1 4.2% Extra-pulmonary TB (N = 76) Lymph node 24 31.6% Pleura 24 31.6% Cold abscess 5 6.6% Intestine 3 3.9% Brain 2 2.6% Vertebra 2 2.6% Eye 3 3.9% Omentum 2 2.6% Peritoneum 3 3.9% Cervix 1 1.3% Colon 1 1.3% Joints 1 1.3% Pancreas 1 1.3% paravertebral 1 1.3% Skin 1 1.3% Testis 1 1.3% pericardium 1 1.3% Abbreviations: AFB, acid-fast bacilli; PCR, polymerase chain reaction; TBLB, transbronchial lung biopsy; BAL, bronchoalveolar lavage Clinical Presentation and Diagnosis of TB Among the studied patients, 24 (24%) were diagnosed with pulmonary TB (PTB) and 76 (76%) with extrapulmonary TB (EPTB). The diagnostic methods for PTB and the anatomical distribution of EPTB are detailed in Table 3. Performance Status and Virology Screening Performance status, assessed using the ECOG scale, was good (PS 0-2) in 99% of patients and poor (PS 3-4) in 1% (Figure 2). Table 4: virology screening of tuberculosis patients: Studied patients (N = 100) Virology Screening HBV 1 1% HCV 0 0% HIV 2 2% Syphilis 0 0% Virology screening (Table 4) identified one patient (1%) positive for Hepatitis B surface antigen (HBsAg), two patients (2%) positive for HIV, and no cases (0%) of HCV or syphilis. HIV Prevalence and Case Details Two out of 100 TB patients (2%) tested positive for HIV. Both HIV-positive cases had extrapulmonary TB. Confirmatory PCR testing verified the HIV status, and both patients had severe immunosuppression with CD4 counts below 200 cells/mm³. Case Presentations of HIV-Positive Patients Case 1: A 24-year-old male smoker with a history of intravenous drug addiction was diagnosed with a cold abscess (ADA-positive aspirate: 85 U\L). He was compliant with anti-TB treatment and had a good performance status. His TB infection was confirmed by a positive TST (15 mm induration) and Quantiferon test positive. His positive HIV rapid test was confirmed by PCR (HIV RNA:125,000 copies\ml), and his basal CD4 count was 106 cells/μL. He was referred for ART initiation. Case 2: A 41-year-old male smoker with a history of intravenous drug addiction was diagnosed with lymph node TB (cervical lymph node histopathology-positive by showing caseating granuloma on histopathology). He was compliant with anti-TB treatment and had a good performance status. His TB infection was indicated by a negative TST (0 mm induration) but positive Quantiferon test. His positive HIV rapid test was confirmed by PCR (HIV RNA: 89,000 copies\ml), and his CD4 count was 150 cells/μL. He was referred for ART initiation. Both patients denied prior knowledge of their HIV status, and neither had received previous antiretroviral therapy. Discussion This study aimed to estimate the prevalence of HIV coinfection among patients diagnosed with TB at Cairo University Hospitals. We recruited 100 patients, with a mean age of 35.9 years (SD ±14.7),consistent with the economically active age group most affected by TB in Egypt and globally (5). The cohort comprised 54% females and 46% males. This sex distribution aligns with Olowe et al. in Nigeria (6) but contrasts with other studies that reported a male predominance (Manjareeka et al., 2013) (7,8). The majority of our patients (64%) resided in urban areas, a finding consistent with Biadglegne et al. in Ethiopia (9) and likely reflecting the population characteristics of Cairo University Hospitals. In our study, 34% of patients were smokers, which is higher than the 22.5% reported by Marshall et al. in Bangladesh and Pakistan (10). this difference reflects varying smoking prevalence in different populations or different data collection methods. Regarding comorbidities, the prevalence of diabetes mellitus (11%) and hypertension (14%) was consistent with Adegbite et al. (11). The DM prevalence was also comparable to Ogbera et al. (2015) and pooled estimates from Tulu et al. (12.5%) in Ethiopia (12), though lower than rates reported by Omar et al. in Brunei (22.8%) (13) and Rajaa et al.in India (19.5%) (14), likely due to differences in population characteristics and diagnostic methods. (random glucose versus HBA1C). A significant majority of our patients (76%) had extrapulmonary TB, a higher proportion than the 53.6% reported by Khattab et al. in Qatar (15). This may reflect referral patterns at our tertiary care center, where complicated or diagnostically challenging EPTB cases are more likely to be referred, while uncomplicated PTB may be managed at primary or secondary care facilities. Nearly all patients (99%) had a good performance status (ECOG PS 0-2), a much higher rate than the 34% in the poor PS group reported by Honjo et al.in Japan (17). This difference likely reflects the relatively young age of our cohort (mean 35.9 years) compared to studies focusing on elderly populations. Virology screening revealed a 1% prevalence of HBV, which aligns with several studies (Merza et al., 2016; Elzouki et al., 2013) (18,19), and no HCV cases, consistent with Getie et al. in Ethiopia (20). However, these rates are lower than those reported in other regions, such as Feleke et al. (21). A key finding was an HIV prevalence of 2% among TB patients, which is in harmony with the 1.5% reported by Dirie et al. in Somalia (22) and the 1.8% reported in a multicentered Egyptian study (23). The wide confidence interval reflects the small number of positive cases and the limited sample size, underscoring the need for larger, multi-center studies to obtain more precise prevalence estimates. Both identified HIV-positive cases had advanced immunosuppression (CD4 <200 cells/μL) at the time of TB diagnosis, highlighting a missed opportunity for earlier HIV diagnosis and ART initiation. This finding underscores the critical importance of routine integrated screening, as recommended by WHO and the Egyptian National AIDS Programme (24). Importantly, both HIV-positive cases had extrapulmonary TB and a history of intravenous drug use, a well-established risk factor for HIV acquisition. This pattern aligns with global epidemiology, where EPTB is more common in HIV-positive individuals, particularly those with low CD4 counts (25). Limitations This study has several limitations that should be acknowledged. First, the single-center, hospital-based design limits generalizability to community settings or other regions of Egypt. Second, the relatively small sample size (N=100) resulted in a wide confidence interval around the prevalence estimate. Third, as a convenience sample without a priori sample size calculation, the study may not have been adequately powered to detect rare outcomes. Fourth, the high proportion of EPTB suggests possible selection bias toward complicated cases referred to our tertiary center. Fifth, no statistical comparisons were possible between PTB and EPTB groups due to the small number of HIV-positive cases. Sixth, we did not collect data on declined participation, which could introduce selection bias. Finally, the cross-sectional design precludes assessment of temporal trends or long-term outcomes. Despite these limitations, this study provides contemporary data on TB-HIV coinfection from a major Egyptian tertiary care center and supports the continued implementation of routine integrated screening. Conclusion In this hospital-based cohort of TB patients at Cairo University Hospitals, the prevalence of HIV coinfection was 2% (95% CI: 0.2–7.0%). Both identified cases had advanced immunosuppression and a history of intravenous drug use, underscoring the importance of targeted screening in high-risk groups. While this prevalence estimate is specific to the study population and setting, it reinforces the necessity of routine, integrated screening for HIV in all TB patients and for TB in people living with HIV, as recommended by national and international guidelines. Such integrated screening strategies are crucial for early detection, timely initiation of antiretroviral therapy, and improved patient outcomes. Larger, multi-center studies are needed to obtain more precise prevalence estimates and to identify regional variations in TB-HIV coinfection across Egypt. Declarations Author Contribution YA and SAH were the supervisor in all the steps. AA shared in the patient collection did the data analysis,NMM and wrote and revised the manuscript and supervise in all steps. NMM did the laboratory work and is the submitting and corresponding author. AC shared in the patient collection. All authors read and approved the final manuscript. References World Health Organization. Global Tuberculosis Report 2023. Geneva: WHO; 2023. Pawlowski A, Jansson M, Sköld M, Rottenberg ME, Källenius G. Tuberculosis and HIV co-infection. PLoS Pathology. 2012;8(2): e1002464. Egyptian Ministry of Health and Population. National Tuberculosis Control Program Annual Report 2022. Cairo: MoHP; 2023. Oken MM, Creech RH, Tormey DC, Horton J, Davis TE, McFadden ET, et al. Toxicity and response criteria of the Eastern Cooperative Oncology Group. Am J Clin Oncol. 1982;5(6):649-55. World Health Organization. Global tuberculosis report 2022. Geneva: WHO; 2022. Olowe OA, Makanjuola OB, Olowe R, Adegoke A, Berthé A, Kodio M, et al. Epidemiological characteristics and clinical outcome of HIV-related tuberculosis in a population of TB patients in South-Western Nigeria. Eur J Microbiol Immunol. 2017;7(2):127-32. Manjareeka M, Nanda S. Prevalence of HIV infection among tuberculosis patients in Eastern India. J Infect Public Health. 2013;6(5):358-62. Getahun H, Gunneberg C, Granich R, Nunn P. HIV infection-associated tuberculosis: the epidemiology and the response. Clin Infect Dis. 2010;50(Suppl 3): S201-7. Biadglegne F, Anagaw B, Debebe T, Anagaw B, Tesfaye W, Tessema B, et al. A retrospective study on the outcomes of tuberculosis treatment in Felege Hiwot Referral Hospital, Northwest Ethiopia. Int J Med Med Sci. 2013;5(2):85-91. Marshall AM, Rahman MA, Saadat A, Huque R, Zaman MM, Alam DS, et al. Smoking prevalence among tuberculosis patients: A cross-sectional study in Bangladesh and Pakistan. Tob Induc Dis. 2020; 18:68. Adegbite BR, Edoa JR, Epola M, Mevyann C, Adegbite SA, Alabi AS, et al. Non-communicable disease co-morbidity and associated factors in tuberculosis patients: A cross-sectional study in Gabon. EClinicalMedicine. 2022; 45:101316. Tulu B, Dida T, Kassa D, Tulu L, Fekadu G. Diabetes mellitus and HIV infection among active tuberculosis patients in Northwest Ethiopia: health facility-based cross-sectional study. Trop Med Health. 2021;49(1):45. Omar N, Wahab ZA, Tuan J, Kamal AA, Arifin WN, Ismail N, et al. Prevalence and associated factors of diabetes mellitus among tuberculosis patients in Brunei Darussalam: a 6-year retrospective cohort study. Int J Infect Dis. 2021;105:267-73. Rajaa S, Krishnamoorthy Y, Kn S, Saya GK, S K. Prevalence and factors associated with diabetes mellitus among tuberculosis patients in South India—a cross-sectional analytical study. BMJ Open. 2021;11(10):e050542. Khattab MA, Khan FY, Al-Maslamani M, Al-Khal A. Pulmonary and extra-pulmonary tuberculosis in Qatar: a first retrospective population-based study. Adv Infect Dis. 2015;5(4):148-54. Kulchavenya E. Extrapulmonary tuberculosis: are statistical reports accurate? Ther Adv Infect Dis. 2014;2(2):61-70. Honjo K, Kaneko Y, Miwa T, Okada M, Yoshi Yama T, Ozeki Y, et al. The impact of performance status on tuberculosis-related death among elderly patients with lung tuberculosis: a competing risk regression analysis. J Infect Chemotherapy. 2020;26(1):69-75. Merza MA, Haji SM, Al-Ani AM, Hama JI, Ali HM, Aziz NA, et al. Low prevalence of hepatitis B and C among tuberculosis patients in Duhok Province, Kurdistan: Are HBsAg and anti-HCV prerequisite screening parameters in the tuberculosis control program? Int J Mycobacterial. 2016;5(3):313-7. Elzouki AN, Smeo MN, Sammud M, Elahmer O, Daw M, Furarah A, et al. Prevalence of hepatitis B and C virus infections and their related risk factors in Libya: a national seroepidemiological survey. East Mediterr Health J. 2013;19(7):589-99. Getie B, Alemnew B, Alamirew NM, Tarekegn M, Birhanu A, Mulu A, et al. Seroprevalence and associated factors of hepatitis B and C virus among pulmonary tuberculosis patients attending health facilities in Gondar Town, Northwest Ethiopia. Infect Drug Resist. 2021;14:3599-608. Feleke BE, Feleke TE, Biadglegne F. Impacts of hepatitis B and hepatitis C co-infection with tuberculosis, a prospective cohort study. Virol J. 2020;17(1):122. Dirie AMH, Ahmed OA, Ali AM, Ali MK, Abdullahi HM, Abdi IA, et al. The prevalence of HIV among tuberculosis patients in Benadir, Somalia. Retrospective multi-center study. Ann Med Surg. 2022;78:103793. El-Sony A, Enarson D, Khamis A, Baraka O, Bjune G. Relation between HIV and tuberculosis: a retrospective study from a tuberculosis reference laboratory in Sudan. Int J Tuberc Lung Dis. 2003;7(11):1066-71. World Health Organization. WHO policy on collaborative TB/HIV activities: guidelines for national programmes and other stakeholders. Geneva: WHO; 2012. Leeds IL, Magee MJ, Kurbatova EV, del Rio C, Blumberg HM, Leonard MK, et al. Site of extrapulmonary tuberculosis is associated with HIV infection. Clin Infect Dis. 2012;55(1):75-81. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Reviewers agreed at journal 17 May, 2026 Reviews received at journal 12 May, 2026 Reviewers agreed at journal 06 May, 2026 Reviewers invited by journal 30 Mar, 2026 Submission checks completed at journal 29 Mar, 2026 First submitted to journal 24 Mar, 2026 You are reading this latest preprint version 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 Advisory Board 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-8745296","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":614686884,"identity":"aaaaff94-9bba-404c-84c3-0d535f69069c","order_by":0,"name":"yousri mohammed akl","email":"","orcid":"","institution":"Cairo University","correspondingAuthor":false,"prefix":"","firstName":"yousri","middleName":"mohammed","lastName":"akl","suffix":""},{"id":614686885,"identity":"a927f51e-3f2a-47f7-86e0-f26a56813c52","order_by":1,"name":"sabah ahmed hussein","email":"","orcid":"","institution":"Cairo University","correspondingAuthor":false,"prefix":"","firstName":"sabah","middleName":"ahmed","lastName":"hussein","suffix":""},{"id":614686886,"identity":"350b5c48-2cc1-40d3-9eea-ac22f604312e","order_by":2,"name":"ahmed cordie abdelhamid","email":"","orcid":"","institution":"Cairo University","correspondingAuthor":false,"prefix":"","firstName":"ahmed","middleName":"cordie","lastName":"abdelhamid","suffix":""},{"id":614686887,"identity":"7a502d0c-1310-4e5d-a5b0-7a57b4a48129","order_by":3,"name":"aya amin mahmoud","email":"","orcid":"","institution":"Cairo University","correspondingAuthor":false,"prefix":"","firstName":"aya","middleName":"amin","lastName":"mahmoud","suffix":""},{"id":614686888,"identity":"8bf5dcad-907b-4e1f-b824-91cfe68bc7cf","order_by":4,"name":"naglaa moustafamohammed","email":"data:image/png;base64,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","orcid":"","institution":"Cairo University","correspondingAuthor":true,"prefix":"","firstName":"naglaa","middleName":"","lastName":"moustafamohammed","suffix":""}],"badges":[],"createdAt":"2026-01-30 23:23:17","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8745296/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8745296/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":105923307,"identity":"e3cfb3a6-dc8a-4a84-a0fb-62eb964ecd39","added_by":"auto","created_at":"2026-04-01 12:58:21","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":404918,"visible":true,"origin":"","legend":"\u003cp\u003e3H combo rabid blood kit\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-8745296/v1/2691f636615aa6894ee7f2fb.png"},{"id":105923346,"identity":"429a9a57-eafb-42e2-8b1b-177c23ccdd6d","added_by":"auto","created_at":"2026-04-01 12:58:28","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":348866,"visible":true,"origin":"","legend":"\u003cp\u003eTP rapid blood kits used.\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-8745296/v1/ff5a2c029776146031b306e5.png"},{"id":105923347,"identity":"103310e5-743b-4c46-9bd8-fee05ad19e23","added_by":"auto","created_at":"2026-04-01 12:58:28","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":78465,"visible":true,"origin":"","legend":"\u003cp\u003eFigure(2):PerformanceStatus\u003c/p\u003e","description":"","filename":"02.png","url":"https://assets-eu.researchsquare.com/files/rs-8745296/v1/b9f9970cb51675c2a0f46d7f.png"},{"id":105923388,"identity":"e47197c6-e33e-4a6f-ba1b-da74b66c8c34","added_by":"auto","created_at":"2026-04-01 12:58:40","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2300217,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8745296/v1/91d872b6-75ad-421e-ae74-88c65b776b36.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Prevalence of Tuberculosis/HIV Coinfection Among Adults with Pulmonary and Extrapulmonary Tuberculosis in Cairo University Hospitals","fulltext":[{"header":"Introduction","content":"\u003cp\u003eTuberculosis (TB), caused by \u003cem\u003eMycobacterium tuberculosis\u003c/em\u003e, remains a leading infectious cause of death globally. Despite being a preventable and treatable disease, TB affects millions of people worldwide, with an estimated 10\u0026nbsp;million new cases and 1.5\u0026nbsp;million deaths annually (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe Human Immunodeficiency Virus (HIV), the causative agent of Acquired Immunodeficiency Syndrome (AIDS), weakens the immune system and significantly increases the risk of TB reactivation. Consequently, TB is a leading cause of death among people living with HIV. TB-HIV coinfection is a major cause of severe morbidity and mortality and has emerged as a significant challenge to TB control efforts in Egypt (\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eIn Egypt, according to the national TB Control Program, TB incidence has declined over recent decades; however, the burden of TB/HIV coinfection remains under-investigated with limited published data from healthcare facilities (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e). The present study aims to estimate the prevalence of HIV coinfection among adult TB patients at Cairo University Hospitals to provide updated local data for guiding screening and management policies.\u003c/p\u003e"},{"header":"Methods","content":"\u003cp\u003e\u003cstrong\u003eStudy Design and Setting\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eA descriptive cross-sectional study was conducted at Cairo University Hospitals in collaboration with the Endemic Medicine Department, Faculty of Medicine, Cairo University, between October 2022 and October 2023.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eStudy Population\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe study included 100 adult patients (aged\u0026thinsp;\u0026gt;\u0026thinsp;18 years) diagnosed with either pulmonary TB (PTB) or extrapulmonary TB (EPTB). Participants were recruited from both outpatient clinics and inpatient units during the study period. All newly diagnosed TB patients presenting during the study timeframe were invited to participate.\u003c/p\u003e\n\u003cp\u003eInclusion required age\u0026thinsp;\u0026ge;\u0026thinsp;18 years, confirmed diagnosis of active TB (pulmonary or extrapulmonary) according to national and WHO guidelines, provision of written informed consent and agreement to undergo HIV testing.\u003c/p\u003e\n\u003cp\u003ePatients with latent TB and those who had been cured of TB were excluded from the study.\u003c/p\u003e\n\u003cp\u003eA total of 103 patients were initially enrolled. Three patients were excluded from final analysis: one was aged\u0026thinsp;\u0026lt;\u0026thinsp;18 years (17 years), and two had incomplete laboratory data. Thus, 100 patients were included in the final analysis.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData Collection\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll participants underwent detailed history-taking, including age, sex, smoking history, comorbidities, and special habits (biomass exposure, raising birds, addiction). This was followed by a clinical examination and laboratory investigations. The diagnosis of TB was confirmed according to national Egyptian and WHO guidelines, utilizing radiology and microbiological tests such as acid-fast bacilli (AFB) staining, GeneXpert, tuberculin skin test (TST), QuantiFERON-TB Gold assay, histopathological examination of biopsied tissues for extrapulmonary TB cases and adenosine deaminase (ADA) testing for fluid specimens (pleural, peritoneal, abscess).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePerformance Status Assessment\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003ePerformance status was assessed using the Eastern Cooperative Oncology Group (ECOG) scale (\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e). This scale measures a patient\u0026apos;s level of functioning in terms of their ability to care for themselves, perform daily activities, and their physical capability. Scores were categorized as good performance status (PS 0, 1, and 2) or poor performance status (PS 3 and 4) (\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable (1)\u0026nbsp;\u003c/strong\u003eECOG grades Performance Status\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003eAll patients confirmed with TB were screened for HIV using a rapid blood test (determine\u0026rdquo; HIV-1\\2, Abbott Laboratories). the procedure involved pricking the patient\u0026apos;s finger with a sterile lancet and placing a droplet of blood on the test kit using a pipette. Results were obtained within 2 minutes. According to the manufacturer, this test has a sensitivity of 100% and specificity of 99.8%.\u003c/p\u003e\n\u003cp\u003ePatients also underwent screening for hepatitis B virus (HBV), hepatitis C virus (HCV), and syphilis using rapid test kits (3H combo rapid test for HIV/HBV/HCV and TP rapid test for Treponema pallidum).\u003c/p\u003e\n\u003cp\u003eConfirmatory testing: All patients with positive rapid HIV tests underwent confirmatory testing using polymerase chain reaction (PCR) for HIV RNA. CD4 count measurement was performed at baseline for HIV-positive patients. No confirmatory testing was performed for negative rapid tests\u003c/p\u003e\n\u003cp\u003ePre and post test counseling: All patients received pre-test counseling regarding the implications of HIV testing. Patients who tested positive received post-test counseling and were referred to the infectious diseases clinic for antiretroviral therapy (ART) initiation and ongoing care, in accordance with national guidelines.\u003c/p\u003e\n\u003cp\u003eEthical considerations: The study was reviewed and approved by the Ethical Review Committee of the Faculty of Medicine, Cairo University (Approval Code: MS-557-2022; Date: September 15, 2022). All participants provided written informed consent before enrollment. The study did not include any patient identifiers to ensure confidentiality.\u003c/p\u003e\n\u003cp\u003eStatistical analysis: Data were analyzed using SPSS version 26 (IBM Corp., Armonk, NY, USA). Categorical variables were presented as frequencies and percentages. Continuous variables were presented as mean\u0026thinsp;\u0026plusmn;\u0026thinsp;standard deviation (SD) and range. HIV prevalence was calculated with 95% confidence intervals (CI) using the Wilson score method. Given the descriptive nature of this prevalence study, no a priori sample size calculation was performed; a convenience sample of all eligible patients presenting during the study period was enrolled. No power calculation was applicable as hypothesis testing was not conducted. No statistical comparisons were made between PTB and EPTB groups due to the small number of HIV-positive cases.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003e\u003cstrong\u003eCharacteristics of patients with TB\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2:\u003c/strong\u003e demographic data in all studied TB patients\u003cstrong\u003e\u003cbr\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 63px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 36px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStudied patients\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(N = 100)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" style=\"width: 33px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAge\u003c/strong\u003e \u003cstrong\u003e(years)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 30px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMean \u0026plusmn;SD\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 36px;\"\u003e\n \u003cp\u003e35.9 \u0026plusmn; 14.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 30px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMin - Max\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 36px;\"\u003e\n \u003cp\u003e18 \u0026ndash; 75\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" style=\"width: 33px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSex\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 30px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e46%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 30px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFemale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e54%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" style=\"width: 33px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eResidence\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 30px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eRural\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e36%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 30px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eUrban\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e64%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"4\" style=\"width: 33px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSpecial habits\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 30px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSmoking\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e34%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 30px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAddiction\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 30px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eRaising Birds\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e42%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 30px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBiomass Exposure\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e26%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"8\" style=\"width: 33px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eComorbidities\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 30px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDM (Diabetes mellitus)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e11%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 30px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHTN(Hypertension)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e14%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 30px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eIHD (Ischemic heart disease)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e5%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 30px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCKD (Chronic kidney disease)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 30px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLiver cirrhosis\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e1%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 30px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eRA (Rheumatoid arthritis)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 30px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHepatitis B\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 30px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSLE (Systemic lupus erythematosus)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 17px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e1%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp id=\"_Toc150299371\"\u003eThe mean age of the patients was 35.9 \u0026plusmn; 14.7 years. Of the 100 patients, 46 (46%) were male and 54 (54%) were female. Sixty-four patients (64%) resided in urban areas, while 36 (36%) were from rural areas. Regarding special habits, 34 patients (34%) were smokers, 2 (2%) had a history of addiction, 42 (42%) reported raising birds, and 26 (26%) had exposure to biomass fuel. Comorbidities included hypertension (14%), diabetes mellitus (11%), and other conditions as detailed in Table 2.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable (3):\u0026nbsp;\u003c/strong\u003eDescription of TB clinical type in all studied TB patients.\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 62px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 37px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStudied patients\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(N = 100)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" style=\"width: 33px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eClinical type\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePulmonary\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e24%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eExtra-pulmonary\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e76%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"8\" style=\"width: 33px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePulmonary TB\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(N = 24)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e\u003cstrong\u003esputum AFB\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e45.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e\u003cstrong\u003esputum Gene expert\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e4.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e\u003cstrong\u003esputum PCR\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e8.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTBLB\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e16.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e\u003cstrong\u003elung granuloma\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e4.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBAL Gene expert\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e8.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBAL PCR\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e8.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBronchial biopsy\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e4.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"17\" style=\"width: 33px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eExtra-pulmonary TB\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(N = 76)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLymph node\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e31.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePleura\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e31.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCold abscess\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e6.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eIntestine\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e3.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBrain\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e2.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVertebra\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e2.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eEye\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e3.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eOmentum\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e2.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePeritoneum\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e3.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCervix\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e1.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eColon\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e1.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eJoints\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e1.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePancreas\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e1.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eparavertebral\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e1.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSkin\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e1.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTestis\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e1.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 28px;\"\u003e\n \u003cp\u003e\u003cstrong\u003epericardium\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e1.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eAbbreviations: AFB, acid-fast bacilli; PCR, polymerase chain reaction; TBLB, transbronchial lung biopsy; BAL, bronchoalveolar lavage\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eClinical Presentation and Diagnosis of TB\u003c/strong\u003e\u003cbr\u003eAmong the studied patients, 24 (24%) were diagnosed with pulmonary TB (PTB) and 76 (76%) with extrapulmonary TB (EPTB). The diagnostic methods for PTB and the anatomical distribution of EPTB are detailed in Table 3.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePerformance Status and Virology Screening\u003c/strong\u003e\u003cbr\u003ePerformance status, assessed using the ECOG scale, was good (PS 0-2) in 99% of patients and poor (PS 3-4) in 1% (Figure 2).\u003c/p\u003e\n\u003cp\u003eTable 4: virology screening of tuberculosis patients:\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" style=\"width: 62px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 37px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eStudied patients\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(N = 100)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"4\" style=\"width: 36px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVirology Screening\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 26px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHBV\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e1%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 26px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHCV\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e0%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 26px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHIV\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 26px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSyphilis\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e0%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cbr\u003e\u0026nbsp;Virology screening (Table 4) identified one patient (1%) positive for Hepatitis B surface antigen (HBsAg), two patients (2%) positive for HIV, and no cases (0%) of HCV or syphilis.\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u0026nbsp;\u003cstrong\u003eHIV Prevalence and Case Details\u003c/strong\u003e\u003cbr\u003eTwo out of 100 TB patients (2%) tested positive for HIV. Both HIV-positive cases had extrapulmonary TB. Confirmatory PCR testing verified the HIV status, and both patients had severe immunosuppression with CD4 counts below 200 cells/mm\u0026sup3;.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCase Presentations of HIV-Positive Patients\u003c/strong\u003e\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003e\u003cstrong\u003eCase 1:\u003c/strong\u003e A 24-year-old male smoker with a history of intravenous drug addiction was diagnosed with a cold abscess (ADA-positive aspirate: 85 U\\L). He was compliant with anti-TB treatment and had a good performance status. His TB infection was confirmed by a positive TST (15 mm induration) and Quantiferon test positive. His positive HIV rapid test was confirmed by PCR (HIV RNA:125,000 copies\\ml), and his basal CD4 count was 106 cells/\u0026mu;L. He was referred for ART initiation.\u003c/li\u003e\n \u003cli\u003e\u003cstrong\u003eCase 2:\u003c/strong\u003e A 41-year-old male smoker with a history of intravenous drug addiction was diagnosed with lymph node TB (cervical lymph node histopathology-positive by showing caseating granuloma on histopathology). He was compliant with anti-TB treatment and had a good performance status. His TB infection was indicated by a negative TST (0 mm induration) but positive Quantiferon test. His positive HIV rapid test was confirmed by PCR (HIV RNA: 89,000 copies\\ml), and his CD4 count was 150 cells/\u0026mu;L. He was referred for ART initiation.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eBoth patients denied prior knowledge of their HIV status, and neither had received previous antiretroviral therapy.\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eThis study aimed to estimate the prevalence of HIV coinfection among patients diagnosed with TB at Cairo University Hospitals. We recruited 100 patients, with a mean age of 35.9 years (SD ±14.7),consistent with the economically active age group most affected by TB in Egypt and globally (5).\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;The cohort comprised 54% females and 46% males. This sex distribution aligns with Olowe et al. in Nigeria (6) but contrasts with other studies that reported a male predominance (Manjareeka et al., 2013) (7,8). The majority of our patients (64%) resided in urban areas, a finding consistent with Biadglegne et al. in Ethiopia (9) and likely reflecting the population characteristics of Cairo University Hospitals.\u003c/p\u003e\n\u003cp\u003eIn our study, 34% of patients were smokers, which is higher than the 22.5% reported by Marshall et al. in Bangladesh and Pakistan (10). this difference reflects varying smoking prevalence in different populations or different data collection methods.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;Regarding comorbidities, the prevalence of diabetes mellitus (11%) and hypertension (14%) was consistent with Adegbite et al. (11). The DM prevalence was also comparable to Ogbera et al. (2015) and pooled estimates from Tulu et al. (12.5%) in Ethiopia (12), though lower than rates reported by Omar et al. in Brunei (22.8%) (13) and Rajaa et al.in India (19.5%) (14), likely due to differences in population characteristics and diagnostic methods. (random glucose versus HBA1C).\u003c/p\u003e\n\u003cp\u003eA significant majority of our patients (76%) had extrapulmonary TB, a higher proportion than the 53.6% reported by Khattab et al. in Qatar (15).\u0026nbsp;This may reflect referral patterns at our tertiary care center, where complicated or diagnostically challenging EPTB cases are more likely to be referred, while uncomplicated PTB may be managed at primary or secondary care facilities.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;Nearly all patients (99%) had a good performance status (ECOG PS 0-2), a much higher rate than the 34% in the poor PS group reported by Honjo et al.in Japan (17). This difference likely reflects the relatively young age of our cohort (mean 35.9 years) compared to studies focusing on elderly populations.\u003c/p\u003e\n\u003cp\u003eVirology screening revealed a 1% prevalence of HBV, which aligns with several studies (Merza et al., 2016; Elzouki et al., 2013) (18,19), and no HCV cases, consistent with Getie et al. in Ethiopia (20). However, these rates are lower than those reported in other regions, such as Feleke et al. (21).\u003c/p\u003e\n\u003cp\u003eA key finding was an HIV prevalence of 2% among TB patients, which is in harmony with the 1.5% reported by Dirie et al. in Somalia (22) and the 1.8% reported in a multicentered Egyptian study (23). The wide confidence interval reflects the small number of positive cases and the limited sample size, underscoring the need for larger, multi-center studies to obtain more precise prevalence estimates.\u003c/p\u003e\n\u003cp\u003eBoth identified HIV-positive cases had advanced immunosuppression (CD4 \u0026lt;200 cells/μL) at the time of TB diagnosis, highlighting a missed opportunity for earlier HIV diagnosis and ART initiation. This finding underscores the critical importance of routine integrated screening, as recommended by WHO and the Egyptian National AIDS Programme (24).\u0026nbsp;Importantly, both HIV-positive cases had extrapulmonary TB and a history of intravenous drug use, a well-established risk factor for HIV acquisition. This pattern aligns with global epidemiology, where EPTB is more common in HIV-positive individuals, particularly those with low CD4 counts (25).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eLimitations\u003c/strong\u003e\u003cbr\u003e\u0026nbsp;This study has several limitations that should be acknowledged. First, the single-center, hospital-based design limits generalizability to community settings or other regions of Egypt. Second, the relatively small sample size (N=100) resulted in a wide confidence interval around the prevalence estimate. Third, as a convenience sample without a priori sample size calculation, the study may not have been adequately powered to detect rare outcomes. Fourth, the high proportion of EPTB suggests possible selection bias toward complicated cases referred to our tertiary center. Fifth, no statistical comparisons were possible between PTB and EPTB groups due to the small number of HIV-positive cases. Sixth, we did not collect data on declined participation, which could introduce selection bias. Finally, the cross-sectional design precludes assessment of temporal trends or long-term outcomes.\u003c/p\u003e\n\u003cp\u003eDespite these limitations, this study provides contemporary data on TB-HIV coinfection from a major Egyptian tertiary care center and supports the continued implementation of routine integrated screening.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eIn this hospital-based cohort of TB patients at Cairo University Hospitals, the prevalence of HIV coinfection was 2% (95% CI: 0.2\u0026ndash;7.0%). Both identified cases had advanced immunosuppression and a history of intravenous drug use, underscoring the importance of targeted screening in high-risk groups. While this prevalence estimate is specific to the study population and setting, it reinforces the necessity of routine, integrated screening for HIV in all TB patients and for TB in people living with HIV, as recommended by national and international guidelines. Such integrated screening strategies are crucial for early detection, timely initiation of antiretroviral therapy, and improved patient outcomes. Larger, multi-center studies are needed to obtain more precise prevalence estimates and to identify regional variations in TB-HIV coinfection across Egypt.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003eAuthor Contribution\u003c/p\u003e\n\u003cp\u003eYA and SAH were the supervisor in all the steps. AA shared in the patient collection did the data analysis,NMM and wrote and revised the manuscript and supervise in all steps. NMM did the laboratory work and is the submitting and corresponding author. AC shared in the patient collection. All authors read and approved the final manuscript.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eWorld Health Organization. Global Tuberculosis Report 2023. Geneva: WHO; 2023.\u003c/li\u003e\n \u003cli\u003ePawlowski A, Jansson M, Sk\u0026ouml;ld M, Rottenberg ME, K\u0026auml;llenius G. Tuberculosis and HIV co-infection. PLoS Pathology. 2012;8(2): e1002464.\u003c/li\u003e\n \u003cli\u003eEgyptian Ministry of Health and Population. National Tuberculosis Control Program Annual Report 2022. Cairo: MoHP; 2023.\u003c/li\u003e\n \u003cli\u003eOken MM, Creech RH, Tormey DC, Horton J, Davis TE, McFadden ET, et al. Toxicity and response criteria of the Eastern Cooperative Oncology Group. Am J Clin Oncol. 1982;5(6):649-55.\u003c/li\u003e\n \u003cli\u003eWorld Health Organization. Global tuberculosis report 2022. Geneva: WHO; 2022.\u003c/li\u003e\n \u003cli\u003eOlowe OA, Makanjuola OB, Olowe R, Adegoke A, Berth\u0026eacute; A, Kodio M, et al. Epidemiological characteristics and clinical outcome of HIV-related tuberculosis in a population of TB patients in South-Western Nigeria. Eur J Microbiol Immunol. 2017;7(2):127-32.\u003c/li\u003e\n \u003cli\u003eManjareeka M, Nanda S. Prevalence of HIV infection among tuberculosis patients in Eastern India. J Infect Public Health. 2013;6(5):358-62.\u003c/li\u003e\n \u003cli\u003eGetahun H, Gunneberg C, Granich R, Nunn P. HIV infection-associated tuberculosis: the epidemiology and the response. Clin Infect Dis. 2010;50(Suppl 3): S201-7.\u003c/li\u003e\n \u003cli\u003eBiadglegne F, Anagaw B, Debebe T, Anagaw B, Tesfaye W, Tessema B, et al. A retrospective study on the outcomes of tuberculosis treatment in Felege Hiwot Referral Hospital, Northwest Ethiopia. Int J Med Med Sci. 2013;5(2):85-91.\u003c/li\u003e\n \u003cli\u003eMarshall AM, Rahman MA, Saadat A, Huque R, Zaman MM, Alam DS, et al. Smoking prevalence among tuberculosis patients: A cross-sectional study in Bangladesh and Pakistan. Tob Induc Dis. 2020; 18:68.\u003c/li\u003e\n \u003cli\u003eAdegbite BR, Edoa JR, Epola M, Mevyann C, Adegbite SA, Alabi AS, et al. Non-communicable disease co-morbidity and associated factors in tuberculosis patients: A cross-sectional study in Gabon. EClinicalMedicine. 2022; 45:101316.\u003c/li\u003e\n \u003cli\u003eTulu B, Dida T, Kassa D, Tulu L, Fekadu G. Diabetes mellitus and HIV infection among active tuberculosis patients in Northwest Ethiopia: health facility-based cross-sectional study. Trop Med Health. 2021;49(1):45.\u003c/li\u003e\n \u003cli\u003eOmar N, Wahab ZA, Tuan J, Kamal AA, Arifin WN, Ismail N, et al. Prevalence and associated factors of diabetes mellitus among tuberculosis patients in Brunei Darussalam: a 6-year retrospective cohort study. Int J Infect Dis. 2021;105:267-73.\u003c/li\u003e\n \u003cli\u003eRajaa S, Krishnamoorthy Y, Kn S, Saya GK, S K. Prevalence and factors associated with diabetes mellitus among tuberculosis patients in South India\u0026mdash;a cross-sectional analytical study. BMJ Open. 2021;11(10):e050542.\u003c/li\u003e\n \u003cli\u003eKhattab MA, Khan FY, Al-Maslamani M, Al-Khal A. Pulmonary and extra-pulmonary tuberculosis in Qatar: a first retrospective population-based study. Adv Infect Dis. 2015;5(4):148-54.\u003c/li\u003e\n \u003cli\u003eKulchavenya E. Extrapulmonary tuberculosis: are statistical reports accurate? Ther Adv Infect Dis. 2014;2(2):61-70.\u003c/li\u003e\n \u003cli\u003eHonjo K, Kaneko Y, Miwa T, Okada M, Yoshi Yama T, Ozeki Y, et al. The impact of performance status on tuberculosis-related death among elderly patients with lung tuberculosis: a competing risk regression analysis. J Infect Chemotherapy. 2020;26(1):69-75.\u003c/li\u003e\n \u003cli\u003eMerza MA, Haji SM, Al-Ani AM, Hama JI, Ali HM, Aziz NA, et al. Low prevalence of hepatitis B and C among tuberculosis patients in Duhok Province, Kurdistan: Are HBsAg and anti-HCV prerequisite screening parameters in the tuberculosis control program? Int J Mycobacterial. 2016;5(3):313-7.\u003c/li\u003e\n \u003cli\u003eElzouki AN, Smeo MN, Sammud M, Elahmer O, Daw M, Furarah A, et al. Prevalence of hepatitis B and C virus infections and their related risk factors in Libya: a national seroepidemiological survey. East Mediterr Health J. 2013;19(7):589-99.\u003c/li\u003e\n \u003cli\u003eGetie B, Alemnew B, Alamirew NM, Tarekegn M, Birhanu A, Mulu A, et al. Seroprevalence and associated factors of hepatitis B and C virus among pulmonary tuberculosis patients attending health facilities in Gondar Town, Northwest Ethiopia. Infect Drug Resist. 2021;14:3599-608.\u003c/li\u003e\n \u003cli\u003eFeleke BE, Feleke TE, Biadglegne F. Impacts of hepatitis B and hepatitis C co-infection with tuberculosis, a prospective cohort study. Virol J. 2020;17(1):122.\u003c/li\u003e\n \u003cli\u003eDirie AMH, Ahmed OA, Ali AM, Ali MK, Abdullahi HM, Abdi IA, et al. The prevalence of HIV among tuberculosis patients in Benadir, Somalia. Retrospective multi-center study. Ann Med Surg. 2022;78:103793.\u003c/li\u003e\n \u003cli\u003eEl-Sony A, Enarson D, Khamis A, Baraka O, Bjune G. Relation between HIV and tuberculosis: a retrospective study from a tuberculosis reference laboratory in Sudan. Int J Tuberc Lung Dis. 2003;7(11):1066-71.\u003c/li\u003e\n \u003cli\u003eWorld Health Organization. WHO policy on collaborative TB/HIV activities: guidelines for national programmes and other stakeholders. Geneva: WHO; 2012.\u003c/li\u003e\n \u003cli\u003eLeeds IL, Magee MJ, Kurbatova EV, del Rio C, Blumberg HM, Leonard MK, et al. Site of extrapulmonary tuberculosis is associated with HIV infection. Clin Infect Dis. 2012;55(1):75-81.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"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":"the-egyptian-journal-of-bronchology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"","sideBox":"Learn more about [The Egyptian Journal of Bronchology](https://ejb.springeropen.com/)","snPcode":"43168","submissionUrl":"https://submission.nature.com/new-submission/43168/3","title":"The Egyptian Journal of Bronchology","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Open","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"HIV, Tuberculosis, Coinfection, Cairo, Extrapulmonary Tuberculosis, Prevalence, Early Detection","lastPublishedDoi":"10.21203/rs.3.rs-8745296/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8745296/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eBackground: Pulmonary Tuberculosis (TB) and human immunodeficiency virus (HIV) have been closely linked since the emergence of the acquired immunodeficiency syndrome (AIDS). HIV infection in patients with active TB poses significant challenges for diagnosis and treatment. This co-infection remains a major global public health challenge, particularly in resource-limited settings, as HIV significantly increases the risk of progression from latent TB infection to active disease.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAim: \u003c/strong\u003ethis study aimed to estimate the prevalence of HIV infection among adults diagnosed with pulmonary and extrapulmonary tuberculosis at Cairo University Hospitals.\u003c/p\u003e\n\u003cp\u003eMethods: A cross-sectional study was conducted over one year (October 2022 to October 2023) and included 100 adult TB patients who met the inclusion criteria, recruited from both inpatient and outpatient settings. Data collection involved comprehensive history-taking, laboratory investigations for TB diagnosis, and performance status assessment. HIV screening was performed using a rapid blood test (Determine HIV-1/2), with positive cases confirmed by polymerase chain reaction (PCR) and CD4 count measurement. Prevalence was calculated with 95% confidence intervals (CI).\u003c/p\u003e\n\u003cp\u003eResults: Among the 100 TB patients analyzed, two (2%) tested positive for HIV (95% CI: 0.2–7.0%). The mean age of participants was 35.9 ± 14.7 years (range: 18–75 years), and 46% were male. Pulmonary TB accounted for 24% of cases, while 76% had extrapulmonary involvement. Both HIV-positive cases had extrapulmonary TB and CD4 counts \u0026lt;200 cells/μL. Ninety-nine percent of patients had a good performance status (PS 0–2).\u003c/p\u003e\n\u003cp\u003eConclusion: the prevalence of HIV coinfection among TB patients in this study was low in the study population, it supports continued implementation of routine integrated screening for HIV in TB patients and for TB in people living with HIV to improve early detection and treatment outcome.\u003c/p\u003e","manuscriptTitle":"Prevalence of Tuberculosis/HIV Coinfection Among Adults with Pulmonary and Extrapulmonary Tuberculosis in Cairo University Hospitals","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-04-01 12:57:43","doi":"10.21203/rs.3.rs-8745296/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"reviewerAgreed","content":"293585526713729801431177579697118633244","date":"2026-05-17T22:01:20+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-05-12T06:52:44+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"252022393171770591899257994150667328096","date":"2026-05-06T19:56:40+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2026-03-30T09:54:15+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2026-03-29T15:44:29+00:00","index":"","fulltext":""},{"type":"submitted","content":"The Egyptian Journal of Bronchology","date":"2026-03-24T23:05:43+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"the-egyptian-journal-of-bronchology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"","sideBox":"Learn more about [The Egyptian Journal of Bronchology](https://ejb.springeropen.com/)","snPcode":"43168","submissionUrl":"https://submission.nature.com/new-submission/43168/3","title":"The Egyptian Journal of Bronchology","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Open","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"6e7c49e7-de9b-4f64-8b6e-2e5504b8194b","owner":[],"postedDate":"April 1st, 2026","published":true,"recentEditorialEvents":[{"type":"reviewerAgreed","content":"293585526713729801431177579697118633244","date":"2026-05-17T22:01:20+00:00","index":42,"fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-05-12T06:52:44+00:00","index":38,"fulltext":""},{"type":"reviewerAgreed","content":"252022393171770591899257994150667328096","date":"2026-05-06T19:56:40+00:00","index":36,"fulltext":""}],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2026-04-01T12:57:44+00:00","versionOfRecord":[],"versionCreatedAt":"2026-04-01 12:57:43","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8745296","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8745296","identity":"rs-8745296","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}