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SLE-VTE score

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

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

SLE-VTE score

by Beijing Healthy Cloud Technology Co., Ltd.
SLE-VTE score
SLE-VTE score
SLE-VTE score

What is it about?

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

SLE-VTE score

App Details

Version
1.0
Rating
NA
Size
53Mb
Genre
Medical Utilities
Last updated
July 12, 2022
Release date
July 12, 2022
More info

App Screenshots

SLE-VTE score screenshot-0
SLE-VTE score screenshot-1
SLE-VTE score screenshot-2
SLE-VTE score screenshot-3

App Store Description

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

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