Association of an estimated glucose disposal rate-frailty index with incident cardiovascular events in two prospective cohorts.

Authors

Yue Liu, Zhengbiao Luo, Zhixiang Xu, Jun Feng, Linlin Hou

Published in

International journal of cardiology. Cardiovascular risk and prevention. Volume 30. Pages 200671. Epub Jun 30, 2026.

Abstract

Insulin resistance and frailty are linked and may increase cardiovascular vulnerability. We evaluated whether an aligned index integrating estimated insulin sensitivity and frailty (eGDRFI) predicts incident cardiovascular disease (CVD) and improves risk stratification beyond conventional factors.
Two prospective population-based cohorts free of baseline heart disease or stroke were analyzed: CHARLS (China; n = 3859) and ELSA (England; n = 2486). Estimated glucose disposal rate was derived from waist circumference, hypertension, and HbA1c; frailty was measured using a deficit-accumulation frailty index. eGDRFI was prespecified as 100×FI/eGDR, with higher values indicating greater metabolic-frailty burden. Incident composite CVD comprised self-reported physician-diagnosed heart disease or stroke. Cohort-specific Cox models, restricted cubic splines, subgroup and sensitivity analyses, and incremental prediction metrics were applied.
eGDRFI was right-skewed, with median values of 1.00 (IQR, 0.47-1.84) in CHARLS and 1.30 (0.62-2.59) in ELSA. In fully adjusted models, higher eGDRFI quartiles were progressively associated with composite CVD in CHARLS (Q4 vs Q1: HR 2.587, 95% CI 2.030-3.298) and ELSA (HR 1.881, 95% CI 1.398-2.529; both P trend<0.001); continuous associations were significant. Associations were consistent for heart disease in both cohorts and stroke in CHARLS, whereas ELSA stroke estimates were imprecise. Adding eGDRFI modestly improved AUCs and yielded significant NRI and IDI in both cohorts.
Higher eGDRFI was associated with incident CVD and modestly improved prediction beyond conventional risk factors, supporting further evaluation of metabolic-frailty assessment as a cardiovascular risk marker.

PMID:
42437203
Bibliographic data and abstract were imported from PubMed on 12 Jul 2026.

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