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ABSTRACT: Background
Cardiovascular disease (CVD) is a leading cause of death in women with systemic lupus erythematosus (SLE) due to accelerated atherosclerosis that is not predicted by established CVD risk scores. This study aimed to develop, validate, and test a female-focused predictive atherosclerosis risk signature based on serum metabolites in patients with SLE.Methods and results
Female patients with SLE were assessed for the presence (SLE-P; n=18) or absence (SLE-NP; n=26) of subclinical atherosclerosis using vascular ultrasound for carotid/femoral intima-media thickness. CVD risk was assessed using QRISK3 (which includes SLE diagnosis as a risk factor) and Framingham Risk Score. Serum metabolomics (n≥250) was performed and analyzed using machine learning pipelines. Despite
SUBMITTER: Woodridge L
PROVIDER: S-EPMC12132899 | biostudies-literature | 2025 Apr
REPOSITORIES: biostudies-literature