Predictive value of the combined triglyceride-glucose and frailty index for cardiovascular disease and stroke in two prospective cohorts
Authors' conclusion
TyGFI is a strong and independent predictor of CVD and stroke in two nationally representative cohorts. By integrating metabolic and functional risk dimensions, TyGFI provides a more comprehensive risk stratification tool, with significant implications for early identification and prevention of cardiovascular events in aging populations.
Study context
- Population
- Participants of China Health and Retirement Longitudinal Study (CHARLS) (China) and National Health and Nutrition Examination Survey (NHANES) (U.S.)CHARLS 5448
- Exposure
- Highest vs lowest TyG-Frailty Index (TyGFI) quartile
- Outcome
- CVD and stroke
Methodological detailsmultivariable logistic regression, restricted cubic spline, subgroup analyses
- Multivariable logistic regression
- Restricted cubic spline
- Subgroup analyses
Main finding
As reported in the abstract
Cardiovascular disease (CVD), CHARLS: OR
15.09 (9.65-23.60) (95% CI)
CVD, NHANES: OR
4.98 (2.04-12.19) (95% CI)
Stroke, CHARLS: OR
21.12 (6.44-69.23) (95% CI)
Stroke, NHANES: OR
12.98 (2.58-65.17) (95% CI)
Observational data: associations, not effects.
Further findings
Subgroup analyses
- Associations robust across diverse demographic and clinical strata
Original publication
Predictive value of the combined triglyceride-glucose and frailty index for cardiovascular disease and stroke in two prospective cohorts. Cardiovasc Diabetol. Published 4 August 2025. doi:10.
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