Does the integration of TyG with anthropometric indices improve the prediction of cardiovascular disease incidence compared to traditional risk models in middle-aged and older adults?
The integration of the triglyceride-glucose index with anthropometric measures, especially TyG-WHtR, significantly improves cardiovascular disease risk prediction in middle-aged and older adults.
The integration of TyG with anthropometric indices strengthened its association with CVD incidence. While TyG-WWI and TyG-ConI exhibited the highest predictive ability in the CHARLS and MESA cohorts, respectively, TyG-WHtR consistently yielded the greatest improvement to traditional risk models. Elevated BP levels partially mediated this association. Early intervention targeting visceral adiposity and impaired insulin sensitivity is crucial for mitigating CVD incidence in middle-aged and older adults.
Yin et al. (Wed,) studied this question.