Which insulin resistance indices best predict future frailty progression in a cardiovascular-kidney-metabolic syndrome stage 0-3 population: a national prospective cohort and machine learning study.

ABSTRACT:

Background

Insulin resistance (IR) is implicated in frailty progression within Cardiovascular-Kidney-Metabolic (CKM) syndrome populations. While multiple non-insulin-based IR indices have been proposed, their comparative utility in predicting frailty across early CKM stages (0-3) remains unclear. Identifying reliable, non-insulin-based IR indices for predicting frailty index (FI) across early CKM stages (0-3) remains challenging.

Methods

This prospective cohort study analyzed 4,354 adults (≥ 45 years) from the China Health and Retirement Longitudinal Study (2011-2015). We evaluated and compared 12 IR indices for predicting frailty progression. Associations were assessed using multivariable logistic regression. Machine learning (RFE, Boruta, and LASSO) identified optimal pred

SUBMITTER: Liu R 

PROVIDER: S-EPMC12613633 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature