Highly prevalent pulmonary perfusion defect in systemic lupus erythematosus

Highly prevalent pulmonary perfusion defect in systemic lupus erythematosus | 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 Highly prevalent pulmonary perfusion defect in systemic lupus erythematosus Flávia Luiza Marin, Sonia Marta Moriguchi, Katia Hiromoto Koga, and 5 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4529122/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Objective Evaluate pulmonary function, functional capacity, profile, and clinical aspects in systemic lupus erythematosus (SLE) with chronic pulmonary thromboembolism (CPTE) and correlate them with pulmonary perfusion defect (PPD). Methods A cross-sectional study from March 2018 to December 2019, with retrospective electronic data retrieval. 72 consecutive outpatients with SLE underwent chest radiography and lung perfusion (Q) scan. PPD was calculated by the Meyer et al . criteria. Data from spirometry, transthoracic echocardiography (TTE), 6-minute walk distance (6MWD) and New York Heart Association (NYHA) class results were compared with reference. Results Patients studied were divided into groups, PPD < 10% (n = 32; 2,3 ± 3%) and PPD ≥ 10% (n = 35; 24 ± 12%). Univariate analysis included: the ratio of forced expiratory volume in the first second (FEV1)/ forced vital capacity, FEV1, anti-RO/SSA, chronic cutaneous lupus erythematosus and lupus nephritis. Linear regression analysis showed lupus nephritis as an independent predictor inversely associated with PPD ≥ 10% (OR: 0,23; CI: 0,06 − 0,85; p = 0,02). There was no correlation between the extension of PPD and right ventricular function assessed by TTE and functional parameters (6MWD and NYHA class). Conclusion SLE is an important risk factor for CPTE, we found high percentage (73%) of PPD on (Q) scan in outpatients with SLE without previous lung disease. Furthermore, PPD ≥ 10% occurred in more than half of the sample (52%), which is the clinically relevant cut-off point. Lupus nephritis is a protective factor possibly related to more aggressive immunosuppressive treatment, which leads to considering an inflammatory factor in CPTE in these patients. pulmonary perfusion defect systemic lupus erythematosus and chronic pulmonary thromboembolism Figures Figure 1 Figure 2 Background Pulmonary thromboembolism (PTE) and deep vein thrombosis are clinical manifestations of a vascular disease of multifactorial pathogenesis called venous thromboembolism (VTE). The clinical presentation of PTE is nonspecific and multifaceted.( 1 ) VTE is the third leading cause of cardiovascular mortality, despite important advances in diagnosis and treatment.( 2 ) The reported annual incidence rate of VTE ranges from 23–69 per 10,000 people, with approximately one-third of patients experiencing acute PTE (APTE).( 3 ) In the United States of America (USA), the estimated annual incidence of diagnosed VTE is 117 per 100,000 people. However, the true incidence is probably higher, as these diseases often go undiagnosed.( 2 ) Most patients make a full recovery after an episode of PTE. However, residual clots may remain attached to the walls of the pulmonary vessels in a subset of patients, which may lead to pulmonary hypertension (PH), which increases morbimortality.( 2 ) PH is currently classified according to etiopathogenesis conditions and systemic lupus erythematosus (SLE) being one of the main in the group of collagen diseases.( 4 ) SLE patients have high morbimortality from cardiovascular disease and a higher risk of VTE, notably in a younger population compared to the general population.( 5 , 6 , 7 ) SLE is a rare chronic autoimmune systemic disease of unknown etiology.( 8 , 9 ) Estimates suggest 80–97% 5-year survival in SLE ( 10 , 11 ), but 3-year survival drops to 74% in SLE with PH ( 9 ). PH is the third leading cause of death in SLE, with PTE being one of the leading causes of PH.( 12 ) SLE is characterized by the presence of a wide variety of autoantibodies, immune complexes and hyperreactivity of T and B lymphocytes. Despite advances, questions must be clarified to understand how autoantibodies and their subpopulations are involved in the pathogenesis and manifestations of the disease.( 9 ) The diagnosis of SLE can be confirmed by Systemic Lupus International Collaborating Clinics (SLICC) criteria ( 9 ). When there is persistent positivity for antiphospholipid antibodies (APLA) associated with a thromboembolic event we have the diagnosis of antiphospholipid antibody syndrome (APS). It is known that 10–15% of all patients with SLE have clinical manifestations of APS.( 8 , 9 ) APLA comprises a group of autoantibodies of great complexity and heterogeneity, which induce thrombophilia. The main targets are phospholipids and phospholipid cofactors of the coagulation cascade and cell membranes.( 13 ) The presence of these antibodies activates endothelial cells, monocytes, and platelets, increasing the prothrombotic state and favoring the risk of VTE.( 14 , 15 ) SLE itself also presents plausible factors for the increase of cardiovascular and thromboembolic diseases, even in the absence of APLA.( 5 , 12 ) Furthermore, it presents accelerated atherosclerosis and chronic systemic inflammation. All of this interferes with the upregulation of procoagulant factors and downregulation of anticoagulants and fibrinolysis, corroborating for thrombosis.( 6 ) The association between SLE and PTE is little studied. It is estimated that in patients with early SLE the incidence of thrombosis is 31 per 1,000 person-year( 6 ). Nonetheless, the majority of the SLE studies included patients with an associated diagnosis of APS. It is possible that the presence of PTE is mimicked by this clinical picture of SLE, obscuring the suspicion of PTE and contributing to underdiagnosis in this population. Computed tomography pulmonary angiography (CTPA) is the exam recommended for the diagnosis of APTE, while lung ventilation and perfusion (Q) scan is for chronic PTE (CPTE). It is possible to perform only (Q) lung scan for cases of CPTE in which the chest X-ray is normal.( 13 ) The PISA-PED study (Prospective Investigative Study of Acute Pulmonary Embolism Diagnosis) showed good accuracy in the diagnosis or exclusion of PTE by performing only (Q) scan mapping, without the need for ventilation phase. These two tests combined with clinical assessment reduced the need for CTPA, a more invasive test.( 16 ) In APS and neoplasms, in the finding of asymptomatic incidental PTE, the same therapy as for symptomatic PTE is recommended, due to its high risk of recurrence in the absence of anticoagulation.( 17 , 18 ) In SLE, however, the treatment of the incidental finding of asymptomatic PTE should be evaluated on a case-by-case basis.( 9 ) Nonetheless, there is still no consensus on what would be considered high thrombogenic risk in SLE. In the literature, there is still a doubt about the management of asymptomatic incidental PTE in SLE without APS, which is why we better evaluated this population and associated factors. Methods This is a cross-sectional study from March 2018 to December 2019, consecutive patients with SLE, from the outpatient clinic of the Hospital das Clínicas of the Botucatu Medical School (HCFMB) of São Paulo State University (UNESP). Also, there were a retrospective retrieval of electronic data from January 1, 2012 until December 31, 2019. Authors had access to information that could identify individual participants during and after data collection, but all identifiable data were completely anonymized before analysis. All participants provided written informed consent before participating in the study. The study was approved by the Research Ethics Committee of UNESP - Botucatu under number 3,482,302. This manuscript is cross-sectional and, therefore, does not have a clinical trial registration number. Inclusion criteria 18 years old, meet the criteria for SLE according to the SLICC classification, be positive or not for APLA and sign the informed consent form. Exclusion criteria Previous diagnosis of ATEP, any lung changes detected by chest X-ray, pulmonary auscultation or computed tomography, dialytic kidney disease, pregnant women, illicit drug users and other confirmed specific autoimmune rheumatic diseases, mainly APS. HCFMB-UNESP SLE outpatient clinic evaluate patients every 3–6 months on average. Pulmonary auscultation was performed in all study participants. If the results were normal, a simple chest X-ray was requested in posteroanterior and lateral views. With a normal X-ray or in the absence of significant alterations suggesting PTE, (Q) scan, spirometry and echocardiography were performed. The final study sample selected for statistical analysis is shown in Fig. 1 . SLE: systemic lupus erythematosus; N: number; ILD: interstitial lung disease. Data collect Clinical, epidemiological, laboratory, therapeutic and diagnostic data were obtained through the electronic medical record of the MV-PEP and Legacy system from 2012 to 2019 onwards and a specific questionnaire was applied. The SLE activity index was calculated using the Safety of Estrogens in Lupus Erythematosus: National Assessment (SELENA) Modification - Systemic Lupus Erythematosus Disease Activity Index (SLEDAI).( 13 ) Cardiac function The functional classification of the New York Heart Association (NYHA) has a good correlation with prognosis and allows stratifying the degree of limitation for daily activities. At the time the questionnaire was applied, patients were also classified according to their symptom on the NYHA class.( 19 ) Transthoracic echocardiography (TTE) was performed according to the service's standard protocol for screening indirect signs of PH. 6-minute walk distance (6MWD) was performed according to the Guideline for the six-minute walk test.( 20 ) Perfusion lung scintigraphy (Q scan) The test was performed at the Nuclear Medicine Technical Sector of the HCFMB-UNESP, according to the service's standard protocol. With the patient in the supine position and taking deep inspirations, albumin macroaggregate labeled with metastable technetium 99 (MAA-99mTc) was administered at an activity of 5mCi (185MBq) in 500,000 to 1,000,000 particles. Image acquisition was performed in a computerized scintillation camera, GE brand, with two rectangular, low-energy, high-resolution (LEHR) detectors immediately after injection. Eight static images of the lungs were taken, by counting, in the anterior, posterior, lateral, posterior oblique and anterior oblique projections, with a centered photopic at 140 KeV, 20% window and 128 x 128 matrix. The images were presented in black and white for qualitative interpretation. Also, it was made a description of the size and topography of segmental and subsegmental perfusion defects in the lungs. The semiquantitative analysis was realized with criteria validated by the method proposed by Meyer et al, in which each lobe is weighted according to with incoming blood flow. Right upper lobe = 0.18, left upper lobe = 0.13, middle lobe = 0.12, tongue = 0.12, right lower lobe = 0.25, and left lower lobe = 0.20. Perfusion of each lobe is visually estimated by five-point scores (0; 0.25; 0.50; 0.75; 1.0), where 0 = absent perfusion and 1.0 = normal perfusion.( 21 ) Each lobar perfusion score is calculated by multiplying the blood flow score by the estimated lobar perfusion score. The total perfusion score is the sum of the six lobe perfusion scores. The percentage of vascular obstruction or perfusion defect is calculated as: (1- total perfusion score) x 100.( 20 ) Based on other studies, a cutoff point of PPD < 10% was established to indicate normal (or almost normal) examination. The PPD ≥ 10% indicates clearly identifiable perfusion abnormalities in the exam, which from a clinical point of view has greater therapeutic relevance.( 22 ) The rereading and interpretation of the PPD were carried out blindly by two specialists in Nuclear Medicine at the HCFMB-Botucatu. In cases where there was a discrepancy in the final interpretation above 10%, the images were reinterpreted by the professionals until reachinga consensual conclusion. Spirometry test The spirometry test was performed on a computerized lung function system (Ferraris KOKO Louisville, CO 80027, USA or Vmax® Series, Carefusion, Germany 2014) according to criteria established by the American Thoracic Society/European Respiratory Society 2017.( 23 ) Statistical analysis The sample consisted of 67 patients, comparison of the groups defined by the percentage of PPD < 10% or ≥ 10%, which is the clinically relevant cut-off point. Quantitative variables were described by means, standard deviations, medians, minimum and maximum values; categorical variables used frequencies and percentages. Quantitative variables were performed using The Student's T test for independent samples or the non-parametric Mann-Whitney test, depending on the normality condition (assessed by the Kolmogorov-Smirnov test); for categorical variables, Fisher's exact test was used. Multivariate analysis of factors associated with the percentage of PPD, logistic regression models (stepwise backward) were adjusted, and the Wald test was used to assess the significance of the variables included in the model. Univariate analysis included variables p < 0.075, considered clinically important in the evaluation of factors associated with PPD ≥ 10%. The estimated measure of association was the odds ratio, p < 0.05 indicated statistical significance. Data were analyzed with the computer program IBM SPSS Statistics v.20.0. Armonk, NY: IBM Corp. Results 49/67 patients had PPD suggestive of CPET and 35/67 patients had PPD≥10%. The sample was divided into groups, DPP<10 with 32/67 (2.3 ± 3%) patients and DPP≥10% with 35/67 (24 ± 12%) patients. The groups present homogeneity in the total number of participants. Figure 2 shows all these percentages. Figure 2. Percentages of patients with PPD in lung (Q) scan. PPD: pulmonary perfusion defect; (Q): perfusion. There was a predominance of women (92.5%) and black color (50.7%). The mean age was 43.1±12.5 years old and the mean years of disease was 12.5±9. The main clinical characteristics of these patients are shown in Table 1, data only from PPD ≥ 10% due to its clinical relevance. The variables chronic cutaneous lupus erythematosus (CCLE) and lupus nephritis showed an inversely significant relationship in PPD ≥ 10%. Comorbidities such as obesity, smoking, previous thrombosis, and dyslipidemia were evaluated, without significance between groups. There was no correlation between the extension of PPD and right ventricular function assessed by TTE, functional parameters (6-minute walk distance [6MWD] and NYHA class. Although, the number of symptomatic patients was greater than that of asymptomatic. For the evaluation of NYHA class, classes II, III and IV (symptomatic) were grouped and analyzed versus class I (asymptomatic) (Table 1). The average reduction in the distance covered in the 6MWT in both groups stands out, ranging from 334-344 m. Current continuous use medications and positivity of autoantibodies were evaluated in Table 2, showing no relationship with PPD. However, the anti-RO/SSA antibody was marginally significant for PPD < 10%. The median of SELENA-SLEDAI in PPD <10 was 2 (0; 16) and PPD ≥ 10% was 4 (0; 28), with p = 0.174. Mean platelet count between groups was 235.802 ± 77 cells/mm³, with no significant relationship with PPD. Platelets were also evaluated in relation to platelet distribution width (PDW) and mean platelet volume (MPV) according to PPD, with means values of 8,5(%) and 14,95 (fL), respectively. PDW showed statistical significance when quantitative analysis (r=-0,27; p =0,037), but not when categorical variable ( p =0,295). The median level of anti-DNA between groups ranged from 51.5 to 61.9 (IU/mL), without statistical significance when quantitative or qualitative analysis. Table 3 shows the assessment of lung function using spirometry. Mean percentage values of FEV1 on spirometry were marginally reduced in PPD≥10% (p = 0.071) and the FEV1/FVC ratio was significantly reduced in PPD≥10% (p = 0.029). Univariates variables that make up the final multivariate model are showed on Table 4. Although LECC was selected for the multivariate analysis (p< 0,05), it was not included in the final analysis because there was only one case in PPD ≥ 10% among patients who had CCLE. The results indicate that lupus nephritis is an independent protective factor for PPD ≥10% (p=0.02). The chance of a patient without lupus nephritis having PPD ≥ 10% is 0.23 times the chance of a patient with nephritis having PPD ≥ 10%. Anti-RO/SSA and FEV1/FVC are not independently associated with PPD. However, for FEV1/FVC, it is estimated that there is a 67% decrease in the odds ratio for every 0.01 unit more FEV1/FVC. Discussion The most relevant finding of this study is the high percentage (73.1%) of PPD on (Q) scan in outpatients with SLE without previous lung disease. Furthermore, PPD ≥ 10% occurred in more than half of the sample (52%), which is the clinically relevant cut-off point. Cosmi et al( 24 ) and Lami et al( 22 ) reported PPD of 28% (26/93) and 25% (18/71) in the general population, respectively, after an average period of nine months of anticoagulation in ATEP. The systematic review by Nijkeuter et al showed that more than 50% of patients with PTE may have PPD even six months after diagnosis( 25 ). (Q) scan is one of the exams of choice for the investigation of CPTE in patients with normal plain chest X-rays (PISA-PED).( 16 ) In our methodology, only patients with normal pulmonary auscultation underwent chest X-rays, with the aim of ruling out other pathological processes in the pulmonary parenchyma. Of the 67 patients in the study, only 11 were smokers, and only six of these had PPD ≥ 10%. There was no significant correlation between these variables. Nevertheless, it is not possible to completely rule out incipient obstructive pulmonary disease related to smoking that was not detectable by the proposed screening. In the present study, the rate of more than 70% of PPD detected in asymptomatic patients with SLE and considering that (Q) scan is a highly sensitive and moderately specific test, raises some hypotheses: 1) They may have false-positive results due to incipient diseases of the lung parenchyma not detected on simple chest X-rays. 2) Since they are patients with SLE, PPD in some of them may be a manifestation of pulmonary vasculitis and not necessarily a result of thrombosis. 3) It may be that the prevalence of asymptomatic CPTE really should be high in this population. It is suggested that 20–90% of patients with SLE will have some type of respiratory involvement during the disease years. Among the various causes of it is PTE, a percentage that is also uncertain.( 26 ) It is known that SLE is a risk factor for VTE and its recurrence is increased in people with associated congenital or acquired risk factors.( 2 ) Although the literature is already well defined on the influence of the prothrombotic action of APLA( 9 , 10 ), in our study there was no such association. Likewise, there was no association between PPD and a previous thrombotic event and continuous use of anticoagulants or antiplatelet agents (Table 2). This corroborates the existence of other independent factors in SLE that trigger PTE. The direct platelet activation associated with the action of immune cells contribute to increased prothrombotic risk during certain situations, like for example infections. Monocytes carry the procoagulant tissue factor and neutrophils released their deoxyribonucleic acid (DNA) by forming extracellular neutrophil traps (NETs), which are highly prothrombotic. NETs are known to increase thrombin levels, activate platelets and clotting.( 7 ) Elevated levels of circulating DNA and chromatin are independently associated with atherosclerosis and thrombosis( 7 ), as well as elevated serum levels of anti-dsDNA have indeed been associated with platelet activation and PTE in SLE. In this context, anti-dsDNA antibodies in SLE could promote thrombosis through direct activation of platelets, binding to the FcγRIIA receptor, P-selectin expression, and changes in platelet morphological and ultrastructural characteristics.( 27 ) Our study evaluated anti-dsDNA serum level within the modified SELENA-SLEDAI SLE activity index and isolated anti-dsDNA serum level according to PPD, but both without statistical significance. Also, we evaluated the absolute number of platelets, PDW and MPV in relation to PPD, no variable was statistically significant, except for PDW in the quantitative analysis. Monreal et al( 28 ) reported no significant difference in the level of basal platelets between patients with silent and evident PTE. However, other studies showed an increase in MPV related to VTE( 29 ) and APTE( 30 ), as well as reduction in platelet levels related to PTE( 29 ) and APTE.( 30 ) We found some significant protective factors for PPD, such as CCLE and lupus nephritis. Lupus nephritis was considered as an independent protective factor after multivariate analysis. In clinical practice, what is observed is a low association of CCLE with active SLE. In fact, CCLE is a diagnostic criterion for SLE in SLICC( 9 ), but it is not a criterion in the modified SELENA-SLEDAI activity score( 13 ). Possibly these patients already had a less active SLE or with fewer complications throughout the course of the disease and therefore did not show correlation with PPD. As for the assessment of lupus nephritis being associated with PPD < 10%, the justification would be the intense and aggressive immunosuppressive treatment necessary to control it. At this point, a pathophysiology of a chronic inflammatory nature is suggested in the PTE of these patients. This nephritis was not active at the time of data collection and there was no correlation with corticosteroids, immunosuppressants or elevated modified SELENA-SLEDAI activity score. What is known about pulmonary vasculitis in SLE is a manifestation of rare and severe diffuse alveolar hemorrhage, with a high mortality (90%). Pulmonary vasculitis in SLE has been reported to affect < 5% of patients and is most often seen concurrently in the context of active lupus nephritis.( 31 ) Our sample is composed of clinically stable patients, with nonspecific symptoms or asymptomatic with resolved lupus nephritis. In this context such hemorrhagic pulmonary vasculitis would possibly not fit. Only 1 patient in the study had active lupus nephritis using immunosuppression with cyclophosphamide and had PPD equal to zero. Pulmonary vascular resistance and pulmonary artery pressure could remain unchanged by the mechanisms of recruitment and distension of pulmonary vessels. This situation depends on the degree of obstruction of the pulmonary vasculature by PTE, the duration of the obstruction that occurred, and the individual's previous cardiopulmonary reserve. Likewise, it is possible that the cardiac output of the right ventricle is maintained by the combination of balance between heart rate and inotropism.( 2 ) Therefore, it is questionable how much PPD really implies in practice. Indeed, the impact of pulmonary obstruction on the evolution of patients with PTE is uncertain.( 32 ) Lago et al showed NYHA functional class III-IV as an independent variable for the presence of PPD in patients with PTE without cardiopulmonary disease. Moreover, the functional class was associated with the degree of pulmonary vascular obstruction. In the same study, patients with post-treatment PE and PPD had worse quality of life compared to those without PPD.( 33 ) On the other hand, Eyharts et al found no correlation between the extension of PPD and NYHA class, 6MWD and right ventricular function assessed by TTE.( 34 ) In our sample, NYHA class was not statistically significant between groups, even when grouped into symptomatic versus asymptomatic. Other explanations for symptomatic patients in SLE without proven cardiac repercussions are fatigue, tiredness, discouragement with mood disorder, fibromyalgia, or poor cardiopulmonary performance.( 35 ) FEV1 is the amount of air eliminated in the first second of the forced expiration maneuver and is a clinically useful measure of lung function, as it has high reproducibility and is effort dependent. Danielsbacka et al observed a significant reduction in predicted FEV1 and forced vital capacity (FVC) in patients with APTE.( 36 ) In our study, FEV1 found to be marginally reduced (p = 0.07) and associated with a significant reduction in FEV1/FVC (p = 0.029) in DPP ≥ 10%. It is possible that mid- and long-term CPT caused enough scarring to functionally alter airflow (FEV1), but without clinical repercussions in the sample. Study limitations Our study has all the limitations associated with retrospective, single-site, and limited sample studies. Also, carrying out the CPTE investigation tests, chest X-ray and (Q) scan, occurred in the system's routine and the time window for performing both tests was not the same in all patients. It is possible that a patient developed interstitial lung disease (ILD) between the performance of the chest X-ray and (Q) scan, in which case PPD could not be CPTE. In our sample, this was confirmed by high-resolution chest computed tomography in 5/72 patients, who were excluded during the study (Fig. 1 ). Perhaps (V/Q) scan or CTPA would be better indicated for patients with the potential to develop ILD and who are unable to perform both tests in a short period. Conclusions The most relevant finding of this study is the high percentage (> 70%) of pulmonary perfusion defect on pulmonary scan in outpatients with systemic lupus erythematosus (SLE) without previous lung disease. The second important finding is PPD ≥ 10% in more than half of the sample, which is the cut-off point with clinical relevance. Patients with a history of treated lupus nephritis were identified as a protective factor for PPD ≥ 10%. The more aggressive immunosuppressive treatment necessary to control lupus nephritis is a possible explanation, which leads to consider an inflammatory factor in chronic pulmonary thromboembolism (CPTE) in these patients. Finally, a negative correlation was identified between expiratory volume in the FEV1/FVC and the degree of PPD. Abbreviations APLA antiphospholipid antibodies APTE acute pulmonary thromboembolism APS antiphospholipid antibody syndrome CCLE chronic cutaneous lupus erythematosus CPTE chronic pulmonary thromboembolism FEV1 forced expiratory volume in the first second FVC forced vital capacity MPV mean platelet volume NYHA New York Heart Association PDW platelet distribution width PH pulmonary hypertension PISA-PED study Prospective Investigative Study of Acute Pulmonary Embolism Diagnosis PPD pulmonary perfusion defect PTE pulmonary thromboembolism Q perfusion TTE transthoracic echocardiography USA United States of America VTE venous thromboembolism SLE systemic lupus erythematosus SLEDAI Systemic Lupus Erythematosus Disease Activity Index SLICC Systemic Lupus International Collaborating Clinics 6MWD minute walk distance Declarations Acknowledgements None. Funding The authors did not receive support from any organization for the submitted work. Ethics declarations Ethics approval and consent to participate The study was approved by the Research Ethics Committee of Botucatu Medical School of São Paulo State University, Botucatu, São Paulo, Brazil, under number 3,482,302. All methods were carried out in accordance with the Declaration of Helsinki. All participants provided written informed consent before participating in the study. Authors had access to information that could identify individual participants during and after data collection, but all identifiable data were completely anonymized before analysis. Consent for publication The patients/participants provided their written informed consent before to participate in this study. Written informed consent was obtained from the individuals for the publication of any potentially identifiable data included in this article. Conflict of interest The authors have declared that no conflicts of interest exist. 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Andrianova IA, Ponomareva AA, Mordakhanova ER, Le Minh G, Daminova AG, Nevzorova TA, Rauova L, Litvinov RI, Weisel JW. In systemic lupus erythematosus anti-dsDNA antibodies can promote thrombosis through direct platelet activation. J Autoimmun. 2020;107:102355. Monreal M, Lafoz E, Casals A, Ruíz J, Arias A. Platelet Count and Venous Thromboembolism. A useful test for suspected pulmonary embolism. Chest J. 1991;100(6):1493–96. Kovács S, Csiki Z, Zsóri KS, Bereczky Z, Shemirani AH. Characteristics of platelet count and size and diagnostic accuracy of mean platelet volume in patients with venous thromboembolism. A systematic review and meta-analysis. Platelets. 2019;30(2):139–47. Varol E, Icli A, Uysal BA, Ozaydin M. Platelet indices in patients with acute pulmonary embolism. Scand J Clin Lab Invest. 2011;71(2):163–7. da Silva LSM, Lima ARAG, Pucinelli MLC, Atra E, Andrade LEC. Capilaroscopia panorâmica periungueal e sua aplicação em doenças reumáticas - Artigos de Revisão. Rev Assoc Med Bras Mar 1997;43(1). Pesavento R, Filippi L, Palla A, Visonà A, Bova C, Marzolo M, et al. Impact of residual pulmonary obstruction on the long-term outcome of patients with pulmonary embolism. Eur Res J May. 2017;49(5):1601980. Lago VC, Amat HRA, Koga KH, Moriguchi SM, Yamauchi FK, Yoo HHB. Defeito perfusional residual pós-terapia anticoagulante na tromboembolia pulmonar: preditores e qualidade de vida. J Bras Pneumol. 2020;46(1). defects by scintigraphy on pulmonary vascular resistances, functional capacity and right ventricular systolic function in patients with chronic thromboembolic pulmonary hypertension. Impact of pulmonary perfusion, Eyharts D, Pascal P, Badie, Cariou YL, Cazalbou E, Karsenty S. C Am J Nucl Med Mol Imaging 2021;11(1):20–6. Smoller JW, Pollack MH, Otto MW, Rosenbaum JF, Kradin RL. Panic anxiety, dyspnea, and respiratory disese. Theoretical and clinical considerations. Am J Respir Crit Care Med. 1996;154(1):6–17. Danielsbacka JS, Olsén MF, Hansson PO, Mannerkorpi K. Lung function, functional capacity, and respiratory symptoms at discharge from hospital in patients with acute pulmonary embolism: A cross-sectional study. Physiother Theory Pract. 2018;34(3):194–201. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted 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-4529122","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":318678827,"identity":"9235debd-cdee-48ad-b256-e1db03986c86","order_by":0,"name":"Flávia Luiza Marin","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABFUlEQVRIiWNgGAWjYBAC9nYgkcBgwcAG4Usw8IOohALcWngOg7VIILRINoBEDAhoAamEA4MDYBKPFmbmZxIPaiQS+/gPP93wc49FnvH51YkfHhgwyPOLHcChhc1MIuGYRGIbwzGzmz3PJIrNbrzdLAF0mOHM2QlYtdgzMxgbJLABtTA2mN3gOSCRuO3G2Q0gLQkGt7Fr4WFm/2yQ8A+ohZn9280/QC2bZ5zd/AO/Fh7DB4ltQC1sPGa3QbZs4O/dRsAWnsIHiX0Sxm08PGW3ZYBaZtzg3WaRYCCB0y887O0bDv74ZiM7v//4tptvDtQl9vef3XzzR4WNPL80di1YgARYpQQBVSiA/wApqkfBKBgFo2AEAABLxV3QyiCreQAAAABJRU5ErkJggg==","orcid":"","institution":"State University of West Paraná","correspondingAuthor":true,"prefix":"","firstName":"Flávia","middleName":"Luiza","lastName":"Marin","suffix":""},{"id":318678828,"identity":"dc74fe1f-ef65-4b30-84c2-0ce393e61b56","order_by":1,"name":"Sonia Marta Moriguchi","email":"","orcid":"","institution":"State University of West Paraná","correspondingAuthor":false,"prefix":"","firstName":"Sonia","middleName":"Marta","lastName":"Moriguchi","suffix":""},{"id":318678829,"identity":"57add0ab-4889-43cb-84f8-11837ec46fc1","order_by":2,"name":"Katia Hiromoto Koga","email":"","orcid":"","institution":"State University of West Paraná","correspondingAuthor":false,"prefix":"","firstName":"Katia","middleName":"Hiromoto","lastName":"Koga","suffix":""},{"id":318678830,"identity":"12c45de6-04bd-4102-829d-8691e952c9e4","order_by":3,"name":"Robson Aparecido Prudente","email":"","orcid":"","institution":"State University of West Paraná","correspondingAuthor":false,"prefix":"","firstName":"Robson","middleName":"Aparecido","lastName":"Prudente","suffix":""},{"id":318678831,"identity":"f679a8ec-f8ae-4126-9574-35263224e3c3","order_by":4,"name":"Karina Nogueira Dias Secco Malagutte","email":"","orcid":"","institution":"State University of West Paraná","correspondingAuthor":false,"prefix":"","firstName":"Karina","middleName":"Nogueira Dias Secco","lastName":"Malagutte","suffix":""},{"id":318678832,"identity":"c903e94a-eb09-485e-889b-dea71c988eb2","order_by":5,"name":"Silmeia Garcia Zanati Bazan","email":"","orcid":"","institution":"State University of West Paraná","correspondingAuthor":false,"prefix":"","firstName":"Silmeia","middleName":"Garcia Zanati","lastName":"Bazan","suffix":""},{"id":318678833,"identity":"fd495683-c862-4e86-81e3-93e0ef54dddc","order_by":6,"name":"Luis Cuadrado Martin","email":"","orcid":"","institution":"State University of West Paraná","correspondingAuthor":false,"prefix":"","firstName":"Luis","middleName":"Cuadrado","lastName":"Martin","suffix":""},{"id":318678834,"identity":"9c14bee4-1039-4f56-b497-11ab2f85b2a0","order_by":7,"name":"Hugo Hyung Bok Yoo","email":"","orcid":"","institution":"State University of West Paraná","correspondingAuthor":false,"prefix":"","firstName":"Hugo","middleName":"Hyung Bok","lastName":"Yoo","suffix":""}],"badges":[],"createdAt":"2024-06-04 15:21:21","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4529122/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4529122/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":60628995,"identity":"126da6e2-88e0-432d-a1fa-9bc035816815","added_by":"auto","created_at":"2024-07-19 00:28:37","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":15850,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eFinal analytic sample.\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"Picture1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-4529122/v1/aec056cc8e6eb2654759a645.jpg"},{"id":60628993,"identity":"c567bcb1-f213-49b5-b53c-1c57f1b6df7f","added_by":"auto","created_at":"2024-07-19 00:28:37","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":20575,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003ePercentages of patients with PPD in lung (Q) scan.\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"Picture2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-4529122/v1/b3c8bf00165e1b0b673ff3a7.jpg"},{"id":65157969,"identity":"5784d675-0d8c-481a-9796-a17d5d5a9690","added_by":"auto","created_at":"2024-09-24 08:32:37","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":604796,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4529122/v1/f346962a-54b9-4734-84d0-0783aec8d379.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Highly prevalent pulmonary perfusion defect in systemic lupus erythematosus","fulltext":[{"header":"Background","content":"\u003cp\u003ePulmonary thromboembolism (PTE) and deep vein thrombosis are clinical manifestations of a vascular disease of multifactorial pathogenesis called venous thromboembolism (VTE). The clinical presentation of PTE is nonspecific and multifaceted.(\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eVTE is the third leading cause of cardiovascular mortality, despite important advances in diagnosis and treatment.(\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e) The reported annual incidence rate of VTE ranges from 23\u0026ndash;69 per 10,000 people, with approximately one-third of patients experiencing acute PTE (APTE).(\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eIn the United States of America (USA), the estimated annual incidence of diagnosed VTE is 117 per 100,000 people. However, the true incidence is probably higher, as these diseases often go undiagnosed.(\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eMost patients make a full recovery after an episode of PTE. However, residual clots may remain attached to the walls of the pulmonary vessels in a subset of patients, which may lead to pulmonary hypertension (PH), which increases morbimortality.(\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e)\u003c/p\u003e \u003cp\u003ePH is currently classified according to etiopathogenesis conditions and systemic lupus erythematosus (SLE) being one of the main in the group of collagen diseases.(\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e) SLE patients have high morbimortality from cardiovascular disease and a higher risk of VTE, notably in a younger population compared to the general population.(\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eSLE is a rare chronic autoimmune systemic disease of unknown etiology.(\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e) Estimates suggest 80\u0026ndash;97% 5-year survival in SLE (\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e), but 3-year survival drops to 74% in SLE with PH (\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e). PH is the third leading cause of death in SLE, with PTE being one of the leading causes of PH.(\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eSLE is characterized by the presence of a wide variety of autoantibodies, immune complexes and hyperreactivity of T and B lymphocytes. Despite advances, questions must be clarified to understand how autoantibodies and their subpopulations are involved in the pathogenesis and manifestations of the disease.(\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eThe diagnosis of SLE can be confirmed by Systemic Lupus International Collaborating Clinics (SLICC) criteria (\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e). When there is persistent positivity for antiphospholipid antibodies (APLA) associated with a thromboembolic event we have the diagnosis of antiphospholipid antibody syndrome (APS). It is known that 10\u0026ndash;15% of all patients with SLE have clinical manifestations of APS.(\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eAPLA comprises a group of autoantibodies of great complexity and heterogeneity, which induce thrombophilia. The main targets are phospholipids and phospholipid cofactors of the coagulation cascade and cell membranes.(\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e) The presence of these antibodies activates endothelial cells, monocytes, and platelets, increasing the prothrombotic state and favoring the risk of VTE.(\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eSLE itself also presents plausible factors for the increase of cardiovascular and thromboembolic diseases, even in the absence of APLA.(\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e, \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e) Furthermore, it presents accelerated atherosclerosis and chronic systemic inflammation. All of this interferes with the upregulation of procoagulant factors and downregulation of anticoagulants and fibrinolysis, corroborating for thrombosis.(\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eThe association between SLE and PTE is little studied. It is estimated that in patients with early SLE the incidence of thrombosis is 31 per 1,000 person-year(\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e). Nonetheless, the majority of the SLE studies included patients with an associated diagnosis of APS.\u003c/p\u003e \u003cp\u003eIt is possible that the presence of PTE is mimicked by this clinical picture of SLE, obscuring the suspicion of PTE and contributing to underdiagnosis in this population.\u003c/p\u003e \u003cp\u003eComputed tomography pulmonary angiography (CTPA) is the exam recommended for the diagnosis of APTE, while lung ventilation and perfusion (Q) scan is for chronic PTE (CPTE). It is possible to perform only (Q) lung scan for cases of CPTE in which the chest X-ray is normal.(\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eThe PISA-PED study (Prospective Investigative Study of Acute Pulmonary Embolism Diagnosis) showed good accuracy in the diagnosis or exclusion of PTE by performing only (Q) scan mapping, without the need for ventilation phase. These two tests combined with clinical assessment reduced the need for CTPA, a more invasive test.(\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eIn APS and neoplasms, in the finding of asymptomatic incidental PTE, the same therapy as for symptomatic PTE is recommended, due to its high risk of recurrence in the absence of anticoagulation.(\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e) In SLE, however, the treatment of the incidental finding of asymptomatic PTE should be evaluated on a case-by-case basis.(\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e) Nonetheless, there is still no consensus on what would be considered high thrombogenic risk in SLE.\u003c/p\u003e \u003cp\u003eIn the literature, there is still a doubt about the management of asymptomatic incidental PTE in SLE without APS, which is why we better evaluated this population and associated factors.\u003c/p\u003e"},{"header":"Methods","content":"\u003cp\u003eThis is a cross-sectional study from March 2018 to December 2019, consecutive patients with SLE, from the outpatient clinic of the Hospital das Cl\u0026iacute;nicas of the Botucatu Medical School (HCFMB) of S\u0026atilde;o Paulo State University (UNESP). Also, there were a retrospective retrieval of electronic data from January 1, 2012 until December 31, 2019. Authors had access to information that could identify individual participants during and after data collection, but all identifiable data were completely anonymized before analysis. All participants provided written informed consent before participating in the study. The study was approved by the Research Ethics Committee of UNESP - Botucatu under number 3,482,302. This manuscript is cross-sectional and, therefore, does not have a clinical trial registration number.\u003c/p\u003e \u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eInclusion criteria\u003c/h2\u003e \u003cp\u003e18 years old, meet the criteria for SLE according to the SLICC classification, be positive or not for APLA and sign the informed consent form.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003eExclusion criteria\u003c/h2\u003e \u003cp\u003ePrevious diagnosis of ATEP, any lung changes detected by chest X-ray, pulmonary auscultation or computed tomography, dialytic kidney disease, pregnant women, illicit drug users and other confirmed specific autoimmune rheumatic diseases, mainly APS.\u003c/p\u003e \u003cp\u003eHCFMB-UNESP SLE outpatient clinic evaluate patients every 3\u0026ndash;6 months on average. Pulmonary auscultation was performed in all study participants. If the results were normal, a simple chest X-ray was requested in posteroanterior and lateral views. With a normal X-ray or in the absence of significant alterations suggesting PTE, (Q) scan, spirometry and echocardiography were performed.\u003c/p\u003e \u003cp\u003eThe final study sample selected for statistical analysis is shown in Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003cb\u003eSLE: systemic lupus erythematosus; N: number; ILD: interstitial lung disease.\u003c/b\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003eData collect\u003c/h2\u003e \u003cp\u003eClinical, epidemiological, laboratory, therapeutic and diagnostic data were obtained through the electronic medical record of the MV-PEP and Legacy system from 2012 to 2019 onwards and a specific questionnaire was applied.\u003c/p\u003e \u003cp\u003eThe SLE activity index was calculated using the Safety of Estrogens in Lupus Erythematosus: National Assessment (SELENA) Modification - Systemic Lupus Erythematosus Disease Activity Index (SLEDAI).(\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e)\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003eCardiac function\u003c/h2\u003e \u003cp\u003eThe functional classification of the New York Heart Association (NYHA) has a good correlation with prognosis and allows stratifying the degree of limitation for daily activities. At the time the questionnaire was applied, patients were also classified according to their symptom on the NYHA class.(\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e) Transthoracic echocardiography (TTE) was performed according to the service's standard protocol for screening indirect signs of PH. 6-minute walk distance (6MWD) was performed according to the Guideline for the six-minute walk test.(\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e)\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003ePerfusion lung scintigraphy (Q scan)\u003c/h2\u003e \u003cp\u003eThe test was performed at the Nuclear Medicine Technical Sector of the HCFMB-UNESP, according to the service's standard protocol. With the patient in the supine position and taking deep inspirations, albumin macroaggregate labeled with metastable technetium 99 (MAA-99mTc) was administered at an activity of 5mCi (185MBq) in 500,000 to 1,000,000 particles.\u003c/p\u003e \u003cp\u003eImage acquisition was performed in a computerized scintillation camera, GE brand, with two rectangular, low-energy, high-resolution (LEHR) detectors immediately after injection. Eight static images of the lungs were taken, by counting, in the anterior, posterior, lateral, posterior oblique and anterior oblique projections, with a centered photopic at 140 KeV, 20% window and 128 x 128 matrix.\u003c/p\u003e \u003cp\u003eThe images were presented in black and white for qualitative interpretation. Also, it was made a description of the size and topography of segmental and subsegmental perfusion defects in the lungs. The semiquantitative analysis was realized with criteria validated by the method proposed by Meyer et al, in which each lobe is weighted according to with incoming blood flow. Right upper lobe\u0026thinsp;=\u0026thinsp;0.18, left upper lobe\u0026thinsp;=\u0026thinsp;0.13, middle lobe\u0026thinsp;=\u0026thinsp;0.12, tongue\u0026thinsp;=\u0026thinsp;0.12, right lower lobe\u0026thinsp;=\u0026thinsp;0.25, and left lower lobe\u0026thinsp;=\u0026thinsp;0.20. Perfusion of each lobe is visually estimated by five-point scores (0; 0.25; 0.50; 0.75; 1.0), where 0\u0026thinsp;=\u0026thinsp;absent perfusion and 1.0\u0026thinsp;=\u0026thinsp;normal perfusion.(\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eEach lobar perfusion score is calculated by multiplying the blood flow score by the estimated lobar perfusion score. The total perfusion score is the sum of the six lobe perfusion scores. The percentage of vascular obstruction or perfusion defect is calculated as: (1- total perfusion score) x 100.(\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e) Based on other studies, a cutoff point of PPD\u0026thinsp;\u0026lt;\u0026thinsp;10% was established to indicate normal (or almost normal) examination. The PPD\u0026thinsp;\u0026ge;\u0026thinsp;10% indicates clearly identifiable perfusion abnormalities in the exam, which from a clinical point of view has greater therapeutic relevance.(\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eThe rereading and interpretation of the PPD were carried out blindly by two specialists in Nuclear Medicine at the HCFMB-Botucatu. In cases where there was a discrepancy in the final interpretation above 10%, the images were reinterpreted by the professionals until reachinga consensual conclusion.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003eSpirometry test\u003c/h2\u003e \u003cp\u003eThe spirometry test was performed on a computerized lung function system (Ferraris KOKO Louisville, CO 80027, USA or Vmax\u0026reg; Series, Carefusion, Germany 2014) according to criteria established by the American Thoracic Society/European Respiratory Society 2017.(\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e)\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003eStatistical analysis\u003c/h2\u003e \u003cp\u003eThe sample consisted of 67 patients, comparison of the groups defined by the percentage of PPD\u0026thinsp;\u0026lt;\u0026thinsp;10% or \u0026ge;\u0026thinsp;10%, which is the clinically relevant cut-off point.\u003c/p\u003e \u003cp\u003eQuantitative variables were described by means, standard deviations, medians, minimum and maximum values; categorical variables used frequencies and percentages. Quantitative variables were performed using The Student's T test for independent samples or the non-parametric Mann-Whitney test, depending on the normality condition (assessed by the Kolmogorov-Smirnov test); for categorical variables, Fisher's exact test was used.\u003c/p\u003e \u003cp\u003eMultivariate analysis of factors associated with the percentage of PPD, logistic regression models (stepwise backward) were adjusted, and the Wald test was used to assess the significance of the variables included in the model. Univariate analysis included variables p\u0026thinsp;\u0026lt;\u0026thinsp;0.075, considered clinically important in the evaluation of factors associated with PPD\u0026thinsp;\u0026ge;\u0026thinsp;10%.\u003c/p\u003e \u003cp\u003eThe estimated measure of association was the odds ratio, p\u0026thinsp;\u0026lt;\u0026thinsp;0.05 indicated statistical significance. Data were analyzed with the computer program IBM SPSS Statistics v.20.0. Armonk, NY: IBM Corp.\u003c/p\u003e \u003c/div\u003e"},{"header":"Results","content":"\u003cp\u003e49/67 patients had PPD suggestive of CPET and 35/67 patients had PPD≥10%. The sample was divided into groups, DPP\u0026lt;10 with 32/67 (2.3 ± 3%) patients and DPP≥10% with 35/67 (24 ± 12%) patients. The groups present homogeneity in the total number of participants. Figure 2 shows all these percentages.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFigure 2. Percentages of patients with PPD in lung (Q) scan.\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePPD:\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003epulmonary perfusion defect; (Q): perfusion.\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThere was a predominance of women (92.5%) and black color (50.7%). The mean age was 43.1±12.5 years old and the mean years of disease was 12.5±9.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe main clinical characteristics of these patients are shown in Table 1, data only from PPD ≥ 10% due to its clinical relevance. The variables chronic cutaneous lupus erythematosus (CCLE) and lupus nephritis showed an inversely significant relationship in PPD ≥ 10%.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003eComorbidities such as obesity, smoking, previous thrombosis, and dyslipidemia were evaluated, without significance between groups.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThere was no correlation between the extension of PPD and right ventricular function assessed by TTE, functional parameters (6-minute walk distance [6MWD] and NYHA class. Although, the number of symptomatic patients was greater than that of asymptomatic. For the evaluation of NYHA class, classes II, III and IV (symptomatic) were grouped and analyzed versus class I (asymptomatic) (Table 1).\u0026nbsp;The average reduction in the distance covered in the 6MWT in both groups stands out, ranging from 334-344 m.\u003c/p\u003e\n\u003cp\u003eCurrent continuous use medications and positivity of autoantibodies were evaluated in Table 2, showing no relationship with PPD. However, the anti-RO/SSA antibody was marginally significant for PPD \u0026lt; 10%.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe median of SELENA-SLEDAI in PPD \u0026lt;10 was 2 (0; 16) and PPD ≥ 10% was 4 (0; 28), with \u003cem\u003ep\u003c/em\u003e= 0.174.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003eMean platelet count between groups was 235.802 ± 77 cells/mm³, with no significant relationship with PPD. Platelets were also evaluated in relation to platelet distribution width (PDW) and mean platelet volume (MPV) according to PPD, with means values of 8,5(%) and 14,95 (fL), respectively. PDW showed statistical significance when quantitative analysis (r=-0,27;\u003cem\u003e\u0026nbsp;p\u003c/em\u003e=0,037), but not when categorical variable (\u003cem\u003ep\u003c/em\u003e=0,295).\u003c/p\u003e\n\u003cp\u003eThe median level of anti-DNA between groups ranged from 51.5 to 61.9 (IU/mL), without statistical significance when quantitative or qualitative analysis.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTable 3 shows the assessment of lung function using spirometry.\u0026nbsp;Mean percentage values of FEV1 on spirometry were marginally reduced in PPD≥10% (p = 0.071) and the FEV1/FVC ratio was significantly reduced in PPD≥10% (p = 0.029).\u003c/p\u003e\n\u003cp\u003eUnivariates variables that make up the final multivariate model are showed on Table 4. Although LECC was selected for the multivariate analysis (p\u0026lt; 0,05), it was not included in the final analysis because there was only one case in PPD ≥ 10% among patients who had CCLE.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003eThe results indicate that lupus nephritis is an independent protective factor for PPD ≥10% (p=0.02). The chance of a patient without lupus nephritis having PPD ≥ 10% is 0.23 times the chance of a patient with nephritis having PPD ≥ 10%. Anti-RO/SSA and FEV1/FVC are not independently associated with PPD. However, for FEV1/FVC, it is estimated that there is a 67% decrease in the odds ratio for every 0.01 unit more FEV1/FVC.\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eThe most relevant finding of this study is the high percentage (73.1%) of PPD on (Q) scan in outpatients with SLE without previous lung disease. Furthermore, PPD\u0026thinsp;\u0026ge;\u0026thinsp;10% occurred in more than half of the sample (52%), which is the clinically relevant cut-off point.\u003c/p\u003e \u003cp\u003eCosmi et al(\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e) and Lami et al(\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e) reported PPD of 28% (26/93) and 25% (18/71) in the general population, respectively, after an average period of nine months of anticoagulation in ATEP. The systematic review by Nijkeuter et al showed that more than 50% of patients with PTE may have PPD even six months after diagnosis(\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e(Q) scan is one of the exams of choice for the investigation of CPTE in patients with normal plain chest X-rays (PISA-PED).(\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e) In our methodology, only patients with normal pulmonary auscultation underwent chest X-rays, with the aim of ruling out other pathological processes in the pulmonary parenchyma.\u003c/p\u003e \u003cp\u003eOf the 67 patients in the study, only 11 were smokers, and only six of these had PPD\u0026thinsp;\u0026ge;\u0026thinsp;10%. There was no significant correlation between these variables. Nevertheless, it is not possible to completely rule out incipient obstructive pulmonary disease related to smoking that was not detectable by the proposed screening.\u003c/p\u003e \u003cp\u003eIn the present study, the rate of more than 70% of PPD detected in asymptomatic patients with SLE and considering that (Q) scan is a highly sensitive and moderately specific test, raises some hypotheses:\u003c/p\u003e \u003cp\u003e1) They may have false-positive results due to incipient diseases of the lung parenchyma not detected on simple chest X-rays.\u003c/p\u003e \u003cp\u003e2) Since they are patients with SLE, PPD in some of them may be a manifestation of pulmonary vasculitis and not necessarily a result of thrombosis.\u003c/p\u003e \u003cp\u003e3) It may be that the prevalence of asymptomatic CPTE really should be high in this population.\u003c/p\u003e \u003cp\u003eIt is suggested that 20\u0026ndash;90% of patients with SLE will have some type of respiratory involvement during the disease years. Among the various causes of it is PTE, a percentage that is also uncertain.(\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e) It is known that SLE is a risk factor for VTE and its recurrence is increased in people with associated congenital or acquired risk factors.(\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eAlthough the literature is already well defined on the influence of the prothrombotic action of APLA(\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e), in our study there was no such association. Likewise, there was no association between PPD and a previous thrombotic event and continuous use of anticoagulants or antiplatelet agents (Table\u0026nbsp;2). This corroborates the existence of other independent factors in SLE that trigger PTE.\u003c/p\u003e \u003cp\u003eThe direct platelet activation associated with the action of immune cells contribute to increased prothrombotic risk during certain situations, like for example infections. Monocytes carry the procoagulant tissue factor and neutrophils released their deoxyribonucleic acid (DNA) by forming extracellular neutrophil traps (NETs), which are highly prothrombotic. NETs are known to increase thrombin levels, activate platelets and clotting.(\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eElevated levels of circulating DNA and chromatin are independently associated with atherosclerosis and thrombosis(\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e), as well as elevated serum levels of anti-dsDNA have indeed been associated with platelet activation and PTE in SLE. In this context, anti-dsDNA antibodies in SLE could promote thrombosis through direct activation of platelets, binding to the FcγRIIA receptor, P-selectin expression, and changes in platelet morphological and ultrastructural characteristics.(\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eOur study evaluated anti-dsDNA serum level within the modified SELENA-SLEDAI SLE activity index and isolated anti-dsDNA serum level according to PPD, but both without statistical significance.\u003c/p\u003e \u003cp\u003eAlso, we evaluated the absolute number of platelets, PDW and MPV in relation to PPD, no variable was statistically significant, except for PDW in the quantitative analysis. Monreal et al(\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e) reported no significant difference in the level of basal platelets between patients with silent and evident PTE. However, other studies showed an increase in MPV related to VTE(\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e) and APTE(\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e), as well as reduction in platelet levels related to PTE(\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e) and APTE.(\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eWe found some significant protective factors for PPD, such as CCLE and lupus nephritis. Lupus nephritis was considered as an independent protective factor after multivariate analysis. In clinical practice, what is observed is a low association of CCLE with active SLE. In fact, CCLE is a diagnostic criterion for SLE in SLICC(\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e), but it is not a criterion in the modified SELENA-SLEDAI activity score(\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e). Possibly these patients already had a less active SLE or with fewer complications throughout the course of the disease and therefore did not show correlation with PPD.\u003c/p\u003e \u003cp\u003eAs for the assessment of lupus nephritis being associated with PPD\u0026thinsp;\u0026lt;\u0026thinsp;10%, the justification would be the intense and aggressive immunosuppressive treatment necessary to control it. At this point, a pathophysiology of a chronic inflammatory nature is suggested in the PTE of these patients. This nephritis was not active at the time of data collection and there was no correlation with corticosteroids, immunosuppressants or elevated modified SELENA-SLEDAI activity score.\u003c/p\u003e \u003cp\u003eWhat is known about pulmonary vasculitis in SLE is a manifestation of rare and severe diffuse alveolar hemorrhage, with a high mortality (90%). Pulmonary vasculitis in SLE has been reported to affect\u0026thinsp;\u0026lt;\u0026thinsp;5% of patients and is most often seen concurrently in the context of active lupus nephritis.(\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e) Our sample is composed of clinically stable patients, with nonspecific symptoms or asymptomatic with resolved lupus nephritis. In this context such hemorrhagic pulmonary vasculitis would possibly not fit. Only 1 patient in the study had active lupus nephritis using immunosuppression with cyclophosphamide and had PPD equal to zero.\u003c/p\u003e \u003cp\u003ePulmonary vascular resistance and pulmonary artery pressure could remain unchanged by the mechanisms of recruitment and distension of pulmonary vessels. This situation depends on the degree of obstruction of the pulmonary vasculature by PTE, the duration of the obstruction that occurred, and the individual's previous cardiopulmonary reserve. Likewise, it is possible that the cardiac output of the right ventricle is maintained by the combination of balance between heart rate and inotropism.(\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e) Therefore, it is questionable how much PPD really implies in practice. Indeed, the impact of pulmonary obstruction on the evolution of patients with PTE is uncertain.(\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eLago et al showed NYHA functional class III-IV as an independent variable for the presence of PPD in patients with PTE without cardiopulmonary disease. Moreover, the functional class was associated with the degree of pulmonary vascular obstruction. In the same study, patients with post-treatment PE and PPD had worse quality of life compared to those without PPD.(\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e) On the other hand, Eyharts et al found no correlation between the extension of PPD and NYHA class, 6MWD and right ventricular function assessed by TTE.(\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eIn our sample, NYHA class was not statistically significant between groups, even when grouped into symptomatic versus asymptomatic. Other explanations for symptomatic patients in SLE without proven cardiac repercussions are fatigue, tiredness, discouragement with mood disorder, fibromyalgia, or poor cardiopulmonary performance.(\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eFEV1 is the amount of air eliminated in the first second of the forced expiration maneuver and is a clinically useful measure of lung function, as it has high reproducibility and is effort dependent. Danielsbacka et al observed a significant reduction in predicted FEV1 and forced vital capacity (FVC) in patients with APTE.(\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e) In our study, FEV1 found to be marginally reduced (p\u0026thinsp;=\u0026thinsp;0.07) and associated with a significant reduction in FEV1/FVC (p\u0026thinsp;=\u0026thinsp;0.029) in DPP\u0026thinsp;\u0026ge;\u0026thinsp;10%. It is possible that mid- and long-term CPT caused enough scarring to functionally alter airflow (FEV1), but without clinical repercussions in the sample.\u003c/p\u003e \u003cdiv id=\"Sec27\" class=\"Section2\"\u003e \u003ch2\u003eStudy limitations\u003c/h2\u003e \u003cp\u003eOur study has all the limitations associated with retrospective, single-site, and limited sample studies.\u003c/p\u003e \u003cp\u003eAlso, carrying out the CPTE investigation tests, chest X-ray and (Q) scan, occurred in the system's routine and the time window for performing both tests was not the same in all patients. It is possible that a patient developed interstitial lung disease (ILD) between the performance of the chest X-ray and (Q) scan, in which case PPD could not be CPTE. In our sample, this was confirmed by high-resolution chest computed tomography in 5/72 patients, who were excluded during the study (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). Perhaps (V/Q) scan or CTPA would be better indicated for patients with the potential to develop ILD and who are unable to perform both tests in a short period.\u003c/p\u003e \u003c/div\u003e"},{"header":"Conclusions","content":"\u003cp\u003eThe most relevant finding of this study is the high percentage (\u0026gt;\u0026thinsp;70%) of pulmonary perfusion defect on pulmonary scan in outpatients with systemic lupus erythematosus (SLE) without previous lung disease.\u003c/p\u003e \u003cp\u003eThe second important finding is PPD\u0026thinsp;\u0026ge;\u0026thinsp;10% in more than half of the sample, which is the cut-off point with clinical relevance.\u003c/p\u003e \u003cp\u003ePatients with a history of treated lupus nephritis were identified as a protective factor for PPD\u0026thinsp;\u0026ge;\u0026thinsp;10%. The more aggressive immunosuppressive treatment necessary to control lupus nephritis is a possible explanation, which leads to consider an inflammatory factor in chronic pulmonary thromboembolism (CPTE) in these patients.\u003c/p\u003e \u003cp\u003eFinally, a negative correlation was identified between expiratory volume in the FEV1/FVC and the degree of PPD.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cdiv class=\"DefinitionList\"\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eAPLA\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eantiphospholipid antibodies\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eAPTE\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eacute pulmonary thromboembolism\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eAPS\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eantiphospholipid antibody syndrome\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eCCLE\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003echronic cutaneous lupus erythematosus\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eCPTE\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003echronic pulmonary thromboembolism\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eFEV1\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eforced expiratory volume in the first second\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eFVC\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eforced vital capacity\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eMPV\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003emean platelet volume\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eNYHA\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eNew York Heart Association\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003ePDW\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eplatelet distribution width\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003ePH\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003epulmonary hypertension\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003ePISA-PED study\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eProspective Investigative Study of Acute Pulmonary Embolism Diagnosis\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003ePPD\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003epulmonary perfusion defect\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003ePTE\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003epulmonary thromboembolism\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eQ\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eperfusion\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eTTE\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003etransthoracic echocardiography\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eUSA\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eUnited States of America\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eVTE\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003evenous thromboembolism\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eSLE\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003esystemic lupus erythematosus\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eSLEDAI\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eSystemic Lupus Erythematosus Disease Activity Index\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eSLICC\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eSystemic Lupus International Collaborating Clinics\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003e6MWD\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eminute walk distance\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003c/div\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNone.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors did not receive support from any organization for the submitted work.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics declarations\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe study was approved by the Research Ethics Committee of\u0026nbsp;Botucatu Medical School of S\u0026atilde;o Paulo State University, Botucatu, S\u0026atilde;o Paulo, Brazil, under number 3,482,302. All methods were carried out in accordance with the Declaration of Helsinki. All participants provided written informed consent before participating in the study. Authors had access to information that could identify individual participants during and after data collection, but all identifiable data were completely anonymized before analysis.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe patients/participants provided their written informed consent before to participate in this study. Written informed consent was obtained from the individuals for the publication of any potentially identifiable data included in this article.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflict of interest\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors have declared that no conflicts of interest exist.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData availability\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll data supporting the findings of this study are available within the paper and its Supplementary Information\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eVolschan A, Caramelli B, Gottschall CAM, Blacher C, Casagrande EL, Lucio EA et al. Diretriz de Embolia Pulmonar. Arq Bras Cardiol. 2004; 83 (1).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTuretz M, Sideris AT, Friedman OA, Triphathi N, Horowitz JM. Epidemiology, Pathophysiology, and Natural History of Pulmonary Embolism. Semin Intervent Radiol. 2018;35(2):92\u0026ndash;8.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTorbicki A, Kurzyna M, Konstantinides S. The ESC Textbook of Intensive and Acute Cardiovascular Care (2 ed.). Oxf Med Online 2018; 2\u0026ndash;5.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAmerican Thoracic Societ. ATS Patient Education Series. Am J Respir Crit Care Med. 2021;203:12\u0026ndash;3.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eChung WS, Lin CL, Chang SN, Lu CC, Kao CH. Systemic lupus erythematosus increases the risks of deep vein thrombosis and pulmonary embolism: a nationwide cohort study. J Thromb Haemost. 2014;12(4):452\u0026ndash;8.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAvi\u0026ntilde;a-Zubieta JA, Vostretsovac K, Vera MA, Sayre EC, Choi HK. The Risk of Pulmonary Embolism and Deep Venous Thrombosis in Systemic Lupus Erythematosus: A General Population-Based Study. Elsevier; 2015. pp. 105\u0026ndash;201. 45.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKoupenova M, Kehrel BE, Corkrey HA, Freedman JE. Thrombosis and platelets: an update. Eur Heart J. 2017;38(11):785\u0026ndash;91.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCarvalho MAP, Lanna CCD, Bertolo MB, Ferreira GA. L\u0026uacute;pus Eritematoso Sist\u0026ecirc;mico. In: Reumatologia diagnostico e tratamento. 4. ed. S\u0026atilde;o Paulo: AC Farmac\u0026ecirc;utica. 2014;378\u0026ndash;410.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHochberg MC, Silman AJ, Smolen JS, Weinblatt ME, Weisman MH. Connective Tissue Disorders. Rheumatology. 6th ed. Philadelphia: Elsevier; 2015. pp. 1702\u0026ndash;945.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGinzler E, Berg A. Mortality in systemic lupus erythematosus. 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Manifesta\u0026ccedil;\u0026otilde;es pulmonares do l\u0026uacute;pus eritematoso sist\u0026ecirc;mico. Rev Paul Pneumo. 2013;27(3):25\u0026ndash;8.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAnnangi S, Dammalapati TR, Nutalapati S, King HMN. Prevalence of Pulmonary Embolism Among Systemic Lupus Erythematosus Discharges: A Decade of Analysis of the National Hospital Discharge Survey. J Clin Rheumatol. 2017;23(4):200\u0026ndash;6.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMiniati M, Pistolesi M, Marini C, Di Ricco G, Formichi B, Prediletto R, PISA-PED Investigators. Value of the perfusion lung scan in the diagnosis of pulmonary embolism: results of the prospective investigative study of acute pulmonar 6mbolism diagnosis (PISAPED). Am J Respir Crit Care Med. 1996;154:1387\u0026ndash;93.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCarneiro RM, Van Bellen B, Santana PRP, Gomes ACP. Preval\u0026ecirc;ncia de tromboembolismo pulmonar incidental em pacientes oncol\u0026oacute;gicos: an\u0026aacute;lise retrospectiva em grande centro. J Vasc Bras. 2017;16(3):232\u0026ndash;8.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDanowski A, Rego J, Kakehasi AM, Funke A, Carvalho JFC, Lima IVS, et al. Diretrizes para o tratamento da s\u0026iacute;ndrome do anticorpo antifosfolip\u0026iacute;deo. Rev Bras Reumatol. 2013;53(2):184\u0026ndash;92.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eThe Criteria Comittee of the New York Heart Association. Diseases of the heart and blood vessels: nomenclature and criteria for diagnosis. Boston, Mass: Little, Brown and Co; 1994. pp. 253\u0026ndash;6.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAmerican Thoracic Society Statement. Guideline for the six-minute walk test. Am J Respir Crit Care Med. 2002;166:111\u0026ndash;7.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMeyer G, Collignon MA, Guinet F, Jeffrey AA, Barritault L, Sors H. Comparison of perfusion lung scanning and angiography in the estimation of vascular obstruction in acute pulmonary embolism. Eur J Nucl Med. 1990;17:315\u0026ndash;9.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLami D, Cellai AP, Antonucci E, Fiorillo C, Becatti M, Grifoni E, et al. Residual perfusion defects in patients with pulmonary embolism are related to impaired fibrinolytic capacity. Thromb Res. 2014;134(3):737\u0026ndash;41.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCooper BG, Stocks J, Hall GL, Culver B, Steenbruggen I, Carter KW, et al. The Global Lung Function Initiative (GLI) Network: bringing the world\u0026rsquo;s respiratory reference values together. Breathe. 2017;13(3):56\u0026ndash;64.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCosmi B, Nijkeuter M, Valentino M, Huisman MV, Barozzi L, Palareti G. Residual emboli on lung perfusion scan or multidetector computed tomography after a first episode of acute pulmonary embolism. Intern Emerg Med. 2011;6:521\u0026ndash;8.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eNijkeuter M, Hovens MM, Davidson BL, Huisman MV. Resolution of thromboemboli in patients with acute pulmonary embolism: A systematic review. Chest. 2006;129:192\u0026ndash;7.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAmarnani R, Yeoh SA, Denneny EK, Wincup C. Lupus and the Lungs: The Assessment and Management of Pulmonary Manifestations of Systemic Lupus Erythematosus. Front Med (Lausanne). 2021;18(7):610257.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAndrianova IA, Ponomareva AA, Mordakhanova ER, Le Minh G, Daminova AG, Nevzorova TA, Rauova L, Litvinov RI, Weisel JW. In systemic lupus erythematosus anti-dsDNA antibodies can promote thrombosis through direct platelet activation. J Autoimmun. 2020;107:102355.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMonreal M, Lafoz E, Casals A, Ru\u0026iacute;z J, Arias A. Platelet Count and Venous Thromboembolism. A useful test for suspected pulmonary embolism. Chest J. 1991;100(6):1493\u0026ndash;96.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKov\u0026aacute;cs S, Csiki Z, Zs\u0026oacute;ri KS, Bereczky Z, Shemirani AH. Characteristics of platelet count and size and diagnostic accuracy of mean platelet volume in patients with venous thromboembolism. A systematic review and meta-analysis. Platelets. 2019;30(2):139\u0026ndash;47.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eVarol E, Icli A, Uysal BA, Ozaydin M. Platelet indices in patients with acute pulmonary embolism. Scand J Clin Lab Invest. 2011;71(2):163\u0026ndash;7.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eda Silva LSM, Lima ARAG, Pucinelli MLC, Atra E, Andrade LEC. Capilaroscopia panor\u0026acirc;mica periungueal e sua aplica\u0026ccedil;\u0026atilde;o em doen\u0026ccedil;as reum\u0026aacute;ticas - Artigos de Revis\u0026atilde;o. Rev Assoc Med Bras Mar 1997;43(1).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003ePesavento R, Filippi L, Palla A, Vison\u0026agrave; A, Bova C, Marzolo M, et al. Impact of residual pulmonary obstruction on the long-term outcome of patients with pulmonary embolism. Eur Res J May. 2017;49(5):1601980.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLago VC, Amat HRA, Koga KH, Moriguchi SM, Yamauchi FK, Yoo HHB. Defeito perfusional residual p\u0026oacute;s-terapia anticoagulante na tromboembolia pulmonar: preditores e qualidade de vida. J Bras Pneumol. 2020;46(1).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003edefects by scintigraphy on pulmonary vascular resistances, functional capacity and right ventricular systolic function in patients with chronic thromboembolic pulmonary hypertension. Impact of pulmonary perfusion, Eyharts D, Pascal P, Badie, Cariou YL, Cazalbou E, Karsenty S. C Am J Nucl Med Mol Imaging 2021;11(1):20\u0026ndash;6.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSmoller JW, Pollack MH, Otto MW, Rosenbaum JF, Kradin RL. Panic anxiety, dyspnea, and respiratory disese. Theoretical and clinical considerations. Am J Respir Crit Care Med. 1996;154(1):6\u0026ndash;17.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDanielsbacka JS, Ols\u0026eacute;n MF, Hansson PO, Mannerkorpi K. Lung function, functional capacity, and respiratory symptoms at discharge from hospital in patients with acute pulmonary embolism: A cross-sectional study. Physiother Theory Pract. 2018;34(3):194\u0026ndash;201.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"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":"pulmonary perfusion defect, systemic lupus erythematosus and chronic pulmonary thromboembolism","lastPublishedDoi":"10.21203/rs.3.rs-4529122/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4529122/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eObjective\u003c/h2\u003e \u003cp\u003eEvaluate pulmonary function, functional capacity, profile, and clinical aspects in systemic lupus erythematosus (SLE) with chronic pulmonary thromboembolism (CPTE) and correlate them with pulmonary perfusion defect (PPD).\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eA cross-sectional study from March 2018 to December 2019, with retrospective electronic data retrieval. 72 consecutive outpatients with SLE underwent chest radiography and lung perfusion (Q) scan. PPD was calculated by the Meyer \u003cem\u003eet al\u003c/em\u003e. criteria. Data from spirometry, transthoracic echocardiography (TTE), 6-minute walk distance (6MWD) and New York Heart Association (NYHA) class results were compared with reference.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003ePatients studied were divided into groups, PPD\u0026thinsp;\u0026lt;\u0026thinsp;10% (n\u0026thinsp;=\u0026thinsp;32; 2,3\u0026thinsp;\u0026plusmn;\u0026thinsp;3%) and PPD\u0026thinsp;\u0026ge;\u0026thinsp;10% (n\u0026thinsp;=\u0026thinsp;35; 24\u0026thinsp;\u0026plusmn;\u0026thinsp;12%). Univariate analysis included: the ratio of forced expiratory volume in the first second (FEV1)/ forced vital capacity, FEV1, anti-RO/SSA, chronic cutaneous lupus erythematosus and lupus nephritis. Linear regression analysis showed lupus nephritis as an independent predictor inversely associated with PPD\u0026thinsp;\u0026ge;\u0026thinsp;10% (OR: 0,23; CI: 0,06\u0026thinsp;\u0026minus;\u0026thinsp;0,85; p\u0026thinsp;=\u0026thinsp;0,02). There was no correlation between the extension of PPD and right ventricular function assessed by TTE and functional parameters (6MWD and NYHA class).\u003c/p\u003e\u003ch2\u003eConclusion\u003c/h2\u003e \u003cp\u003eSLE is an important risk factor for CPTE, we found high percentage (73%) of PPD on (Q) scan in outpatients with SLE without previous lung disease. Furthermore, PPD\u0026thinsp;\u0026ge;\u0026thinsp;10% occurred in more than half of the sample (52%), which is the clinically relevant cut-off point. Lupus nephritis is a protective factor possibly related to more aggressive immunosuppressive treatment, which leads to considering an inflammatory factor in CPTE in these patients.\u003c/p\u003e","manuscriptTitle":"Highly prevalent pulmonary perfusion defect in systemic lupus erythematosus","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-07-19 00:28:32","doi":"10.21203/rs.3.rs-4529122/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":"b414a725-fe62-44fa-9313-d6097ea43d41","owner":[],"postedDate":"July 19th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-10-30T09:08:48+00:00","versionOfRecord":[],"versionCreatedAt":"2024-07-19 00:28:32","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4529122","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4529122","identity":"rs-4529122","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}