Development of machine learning models for detection of vision threatening Behçet's disease (BD) using Egyptian College of Rheumatology (ECR)-BD cohort.

BACKGROUND: Eye lesions, occur in nearly half of patients with Behçet's Disease (BD), can lead to irreversible damage and vision loss; however, limited studies are available on identifying risk factors for the development of vision-threatening BD (VTBD). Using an Egyptian college of rheumatology (ECR)-BD, a national cohort of BD patients, we examined the performance of machine-learning (ML) models in predicting VTBD compared to logistic regression (LR) analysis. We identified the risk factors for the development of VTBD. METHODS: Patients with complete ocular data were included. VTBD was determined by the presence of any retinal disease, optic nerve involvement, or occurrence of blindness. Various ML-models were developed and examined for VTBD prediction. The Shapley additive explanation value was used for the interpretability of the predictors. RESULTS: A total of 1094 BD patients [71.5% were men, mean ± SD age 36.1 ± 10 years] were included. 549 (50.2%) individuals had VTBD. Extreme Gradient Boosting was the best-performing ML model (AUROC 0.85, 95% CI 0.81, 0.90) compared with logistic regression (AUROC 0.64, 95%CI 0.58, 0.71). Higher disease activity, thrombocytosis, ever smoking, and daily steroid dose were the top factors associated with VTBD. CONCLUSIONS: Using information obtained in the clinical settings, the Extreme Gradient Boosting identified patients at higher risk of VTBD better than the conventional statistical method. Further longitudinal studies to evaluate the clinical utility of the proposed prediction model are needed.

Development and validation of a Behçet's Disease Damage Index for adults with BD: An Explicit, Composite and Rated (ECR) tool.

BACKGROUND: Behçet's disease (BD) is a chronic multisystem variable vessel vasculitis. Disease damage is irreversible and permanent. Validated tools evaluating damage are limited. Enhancements in the clinical treatment of vasculitis will take place from the development of refined and exclusive indices for individual vasculitic syndromes including BD and attempting their international validation. OBJECTIVES: This aim was to develop and validate a simple BD Damage Index (BDI). METHODS: This was a nationwide study including 1252 BD patients. The work consisted of 3 stages. Stage 1: items generation for score content. Stage 2: items selection for the draft score was performed by an expert rheumatologist. Stage 3: the content validity of the draft score was assessed and BDI, Vasculitis Damage Index (VDI), Antineutrophil cytoplasmic antibody-associated Vasculitis Index of Damage (AVID) and Combined Damage Assessment Index (CDAI) were calculated and compared. RESULTS: The mean age of the BD patients was 36.1 ± 9.9 years. Stages 1 and 2 resulted in a BDI instrument containing 73 items with a maximum score of 100. Stage 3, the VDI, CDAI, AVID, and BDI were 2.9 ± 2.2, 3.1 ± 2.3, 3.1 ± 2.3 and 5.1 ± 2.9, respectively. High correlations (r = .9) between comparable damage scores assured acceptable concurrent validity. CONCLUSION: The proposed BDI represents a new robust and potentially useful tool when dealing with BD chronic status.

Correction to: Behçet's disease in Egypt: a multicenter nationwide study on 1526 adult patients and review of the literature.

The author wishes to correct the record and clarify that in the original version of this article in the Discussion section under "Prevalence over the country governorates" inadvertently presented incorrect data cited in the reference [30].

Behçet's disease in Egypt: a multicenter nationwide study on 1526 adult patients and review of the literature.

OBJECTIVES: The present work was conducted to estimate the prevalence of adult Behçet's disease (BD) in adult Egyptian and to study the clinical pattern and influence of age at-onset and sex on disease phenotype. Also, we investigated the spectrum of presentation and frequencies along the north-to-south gradient of the country. PATIENTS AND METHOD: The population-based, multicenter, cross-sectional study included 1526 adult BD patients from 26 specialized Egyptian rheumatology centers. Demographic, clinical, and therapeutic data are assessed for all patients. RESULTS: The mean age of patients was 35.7 ± 9.84 years, disease duration 6.58 ± 5.25 years, and age at onset 29.37 ± 8.6 years; 91 were juvenile-onset (JoBD). There were 1102 males and 424 females (M:F 2.6:1). Regarding co-morbidities, 19.92% were diabetic, and 26.05% were hypertensive. The mean body mass index was 27.57 ± 5.24 (43.1% overweight; 25.9% obese). The mean BD current activity form was 4.48 ± 4.28. Regarding the medications use, systemic steroid and colchicine were the most common drugs used (947 (90.2%) and 611 (82.7%), respectively). The overall estimated prevalence of BD in Egypt was 3.6/100,000 population being highest in the two main cities: Alexandria (15.27) and Cairo (8.72). Pathergy test was positive in 43.4%. 90.2% were receiving systemic steroids and 8.3%, biologics. Disease characteristics were comparable between JoBD and adult-onset BD cases. Central nervous system (CNS), deep venous thrombosis (DVT), and gastrointestinal (GIT) involvement were significantly higher in males (p = 0.01, p = 0.001, and p = 0.001 respectively) while joint affection (p = 0.001) and disease activity (p = 0.011) were increased in females. CONCLUSIONS: This study provides current prevalence of BD in Egypt; 3.6/100,000 with no remarkable north-to-south gradient. The sex influences the disease phenotype with the CNS, DVT, and GIT involvement are higher in males, while the joint affection and disease activity were increased in females. KEY POINTS: • The prevalence and phenotype of Behçet's disease across Egypt is presented in a multicenter nationwide study. • The potential influence of the age at onset and sex on disease phenotype is highlightened. • A review of the literature worldwide is presented allowing comparisons with studies from other nations.