Evaluative performance of TyG-ABSI versus traditional indices in relation to cardiovascular disease and mortality: evidence from the U.S. National Health and Nutrition Examination Survey (NHANES)
Authors' conclusion
Our study highlights the value of TyG-ABSI in assessing cardiovascular disease and mortality risk in populations with MetS, providing new evidence for medical practice and public health interventions.
Study context
- Population
- Individuals with metabolic syndrome, NHANES 2001–2018
- Participants
- 12,813 individuals
- Exposure
- TyG-ABSI vs TyG and other TyG-related indices
- Outcome
- Association of TyG-ABSI with CVD, cardiovascular mortality and all-cause mortality
Methodological detailsNHANES 2001–2018, weighted for sample design, clustering and stratification, weighted Cox proportional hazards models, weighted logistic regression
- NHANES 2001–2018
- Weighted for sample design, clustering and stratification
- Weighted Cox proportional hazards models
- Weighted logistic regression
Main finding
As reported in the abstract
CVD, cardiovascular mortality and all-cause mortality per 1-unit increase in TyG-ABSI
Increase in cardiovascular disease (CVD) risk per 1-unit increase in TyG-ABSI
28%
Increase in cardiovascular mortality per 1-unit increase in TyG-ABSI
25%
Increase in all-cause mortality per 1-unit increase in TyG-ABSI
28%
Observational data: associations, not effects.
Further findings
Predictive performance vs TyG-related indices
- TyG-ABSI outperformed the traditional TyG index in overall analysis
- TyG-ABSI showed superior predictive performance (ROC curve, NRI, DCA) vs other TyG-related indices
Robustness and subgroups
- Competing risks models, E-value and RCS confirmed robustness; subgroup analyses supported stability with limited interaction effects
Original publication
Evaluative performance of TyG-ABSI versus traditional indices in relation to cardiovascular disease and mortality: evidence from the U.S. NHANES. Cardiovasc Diabetol. Published 21 August 2025. doi:10. 1186/ s12933-025-02902-6
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