Ontology highlight
ABSTRACT: Aims
This multi-cohort study evaluated whether the cardiometabolic index (CMI)-a composite of waist-to-height ratio and triglyceride-to-HDL cholesterol ratio-serves as an early predictor of cardio-kidney risk and whether its predictive value varies across glycaemic states.Methods
We analysed 327,902 adults in the UK Biobank to examine the association of CMI with baseline cardio-kidney comorbidities, incident cardio-kidney events (CKE)-defined as the composite occurrence of cardiovascular and chronic kidney outcomes, and mortality. Baseline comorbidities was assessed using logistic regression, and Cox models with stratified analyses and restricted cubic splines (RCS) evaluated prospective associations. Findings were externally validated in CHARLS and NHANES. Machine-learning
SUBMITTER: Xie Y
PROVIDER: S-EPMC12811652 | biostudies-literature | 2026 Jan
REPOSITORIES: biostudies-literature