SLE-VTE score app analytics for August 5

SLE-VTE score is a clinical prediction model to help physicians and researchers predict the risk of venous thromboembolism (VTE) in systemic lupus erythematosus (SLE) patients. This model is built and validated based on the Chinese SLE Treatment and Research group cohort (CSTAR). Logistic regression and least absolute shrinkage and selection operator were used to fit the model. The final prediction model (SLE-VTE score) included 11 variables: gender, age, body mass index (BMI), hyperlipidemia, hypoalbuminemia, C-reactive protein (CRP), anti-β2-glycoprotein 1 antibody, lupus anticoagulant, nervous system involvement, renal involvement, and hydroxychloroquine usage. We hope and welcome more cohorts to further validate and improve this model