Predictive value of the triglyceride glucose index-a body shape index (TyG-ABSI) for cardiovascular disease and its comparison with other triglyceride-glucose (TyG)-related obesity indices: a study based on the China health and retirement longitudinal study (CHARLS) cohort
Authors' conclusion
TyG-ABSI was significantly and positively associated with an increased risk of incident CVD. Although TyG-ABSI as an isolated screening tool did not surpass traditional parameters like TyG-BMI in overall prospective accuracy, it exhibited only a negligible correlation with BMI, demonstrating that this metric is not redundant. Consequently, TyG-ABSI retains the potential to capture specific pathogenic signals independent of gross body mass. Future risk stratification toolkits should consider transitioning toward an integrated Anthropometric Risk Indicator (ARI) framework that couples the metabolic sensitivity of TyG-BMI with the specific body shape risks indicated by TyG-ABSI.
Study context
- Population
- Participants of the China Health and Retirement Longitudinal Study free of cardiovascular disease (CVD) at baseline with complete essential information, 2011–20201,267 incident CVD cases
- Participants
- 7,197 participants
- Exposure
- TyG-ABSI vs other TyG-related obesity indices for incident CVD
- Outcome
- Incident CVD
- Follow-up
- 2011 to 2020
Methodological detailsCHARLS cohort, fully adjusted Cox proportional hazards models
- CHARLS cohort
- Fully adjusted Cox proportional hazards models
Main finding
As reported in the abstract
Composite CVD, HR (95% CI 1.01-1.14), P = 0.016
1.08
Incident stroke, HR (95% CI 1.05-1.28), P = 0.003
1.16
Observational data: associations, not effects.
Further findings
Non-linear association (restricted cubic splines (RCS))
- No significant non-linear association for CVD
- P = 0.855
- No significant non-linear association for stroke
- P = 0.728
Predictive performance vs other indices
- TyG-ABSI improved prediction over ABSI alone but offered no advantage over traditional indices
- Decision curve analysis (DCA): traditional indices had better net benefit than TyG-ABSI or its components
- Independent predictive value highly consistent across sensitivity analyses
Correlation analysis
- Multicollinearity clustering among traditional indices, r
- 0.751-0.890
- Correlation of ABSI with BMI, r
- - 0.056
Original publication
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