Ontology highlight
ABSTRACT: Background
The uric acid to high-density lipoprotein cholesterol ratio (UHR) is emerging as a novel biomarker reflecting the balance between pro-oxidative and antioxidative pathways. While implicated in various cardiometabolic diseases, its specific correlation with stroke risk, particularly across diverse populations, remains insufficiently characterized. This study aimed to investigate the UHR-stroke link in two independent populations.Methods
This cross-sectional analysis utilized data from 27,439 NHANES participants (2007-2018). We employed survey-weighted multivariable logistic regression to model the UHR-stroke correlation, complemented by restricted cubic splines (RCS) for dose-response relationships and subgroup analyses to assess effect modification. Furthermore, a
SUBMITTER: Huang Y
PROVIDER: S-EPMC12835321 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature