Clinical Profile of Vascular Behcets Disease Patients Over a 30-year Period: Insights from an Iranian Retrospective Cohort Study
Shadmanfar, S.; Jazi, K.; Faezi, S. T.; Akhlaghi, M.; Kelarestaghi, H.; Moghadam, Z. R.; Davatchi, F.; Alavi, S. M.; Masoumi, M.
Show abstract
Vascular manifestations are rare and cause morbidity and mortality in patients with Behcets disease (BD). Owing to the lack of evidence, we aimed to retrospectively evaluate the clinical features and associated risk factors of vascular BD. This retrospective cohort study was conducted at the Rheumatology Research Center, Tehran, Iran, from 1982 to 2018. The demographics, laboratory results, severity at diagnosis, diagnosis interval, and clinical manifestations divided into major events as well as sub-events at each visit were recorded. Of 57 patients, 43 (75.44%) were male, with an M:F ratio of 3.07. The mean age at onset was 32.00 {+/-} 8.05 years. The three major clinical events repeated during the study period were mucocutaneous (41.30%), ocular (17%), and vascular (16.8%). DVT (33.3 %), SVT (21.84 %), and thrombosis of the large vein extremities (17.24 %) were the most common vascular events. The presence of HLA-B51 was found to have a statistically significant impact on the distinct number of events (B=-0.39, 95% CI: -0.74, -0.03, p=0.039). Severity at diagnosis (Moderate Vs. mild and Severe Vs. mild) were found to be statistically significant predictors of the logarithm of distinct number of events (B=-0.68, 95% CI: -1.13, -0.24, p=0.004; B=-0.51, 95% CI: -0.93, -0.10, p=0.020). The odds of developing vasculitis decreased faster in patients with a family history of OA than in those without a family history of OA. The other variables were not found to have a statistically significant impact on the logarithm of distinct number of events. A family history of OA, HLA- B51 positivity, and disease severity at diagnosis were associated with the occurrence of vascular BD. Further longitudinal and large-sample size studies should be conducted to evaluate the risk factors for vascular events.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Different Covid-19 Outcomes Among Systemic Rheumatic Diseases: A Nation-wide Cohort Study 93%
- Trust in the attending rheumatologist, health-related hope, and medication adherence among Japanese patients with systemic lupus erythematosus: the TRUMP 2 -SLE project 93%
- Evaluation of SIGLEC1 in the diagnosis of suspected systemic lupus erythematosus 92%
Similar papers in this journal
- COVID-19 Disease Severity and Determinants among Ethiopian Patients: A study of the Millennium COVID-19 Care Center 94%
- Alteration of plasma von Willebrand factor in the treatment of retinal vein occlusion with cystoid macular edema 94%
- Association of ABO blood group with COVID-19 severity, acute phase reactants and mortality 94%
Similar papers in this journal
- Computer vision detects inflammatory arthritis in standardized smartphone photographs in an Indian patient cohort 91%
- Modified Preparation Method of Ideal Platelet-Rich Fibrin Matrix (PRFM) from Whole Blood 91%
- Risk factors for infection, predictors of severe disease and antibody response to COVID-19 in patients with rheumatic diseases in Portugal – a multicentre, nationwide study 91%
Similar papers in this journal
- A systematic investigation on the involvement of complement pathway in diabetic retinopathy 93%
- Abnormal thrombosis and neutrophil activation increases the risk of hospital-acquired sacral pressure injuries and morbidity in patients with COVID-19 93%
- Comprehensive Autoantibody Profiles in Systemic Sclerosis: Clinical Cluster Analysis 92%
Similar papers in this journal
- Utility of IL-6 in the diagnosis, treatment and prognosis of COVID-19 patients: A longitudinal study 92%
- Clinical course and risk factors for in-hospital mortality of 205 patients with SARS-CoV-2 pneumonia in Como, Lombardy Region, Italy 91%
- Analysis of Thrombotic Adverse Reactions of COVID-19 AstraZeneca Vaccine reported to EudraVigilance database 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.