Establishing a Risk Prediction Model for Atherosclerosis in Systemic Lupus Erythematosus.

ABSTRACT: Background and aims: Patients with systemic lupus erythematosus (SLE) have a significantly higher incidence of atherosclerosis than the general population. Studies on atherosclerosis prediction models specific for SLE patients are very limited. This study aimed to build a risk prediction model for atherosclerosis in SLE. Methods: RNA sequencing was performed on 67 SLE patients. Subsequently, differential expression analysis was carried out on 19 pairs of age-matched SLE patients with (AT group) or without (Non-AT group) atherosclerosis using peripheral venous blood. We used logistic least absolute shrinkage and selection operator regression to select variables among differentially expressed (DE) genes and clinical features and utilized backward stepwise logistic regression to

SUBMITTER: Xing H 

PROVIDER: S-EPMC8085548 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature