Association of the triglyceride-glucose index with all-cause and cardiovascular mortality among individuals with cardiovascular-kidney-metabolic syndrome: a population-based cohort study using data from the US National Health and Nutrition Examination Survey, 1999-2018.

Zhao, Songfeng; Duan, Jiayue · BMJ Open · 2025

retrospective_cohort · Level III

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Abstract

The study investigated the association between the triglyceride-glucose (TyG) index (a surrogate measure for insulin resistance) and all-cause and cardiovascular disease (CVD) mortality among individuals with cardiovascular-kidney-metabolic syndrome. Population-based cohort study. US National Health and Nutrition Examination Survey, 1999-2018. A total of 13 585 participants who had valid data were included in this analysis. Data from the participants were linked to death certificates to obtain follow-up mortality information from the National Death Index. Cox proportional hazards models were used to assess the associations between the TyG index and all-cause and CVD mortality. Non-linear associations and threshold effects were investigated using restricted cubic spline regression and a two-piecewise Cox proportional hazards model. During a median follow-up of 99 months, a total of 2876 (16.24%) deaths occurred, of which 961 were attributed to CVD. Each one-unit increase in the TyG index was associated with an 8.9% relative increase in the hazard of all-cause mortality (HR 1.089, 95% CI 1.013 to 1.171) and a 19.5% relative increase in the hazard of CVD mortality (HR 1.195, 95% CI 1.027 to 1.390). Non-linear relationships were identified between the TyG index and all-cause and CVD mortality, with threshold values of 8.97 and 8.81 for all-cause and CVD mortality, respectively. A significant interaction effect was found between age and the TyG index. There was a U-shaped relationship between the TyG index and both all-cause and CVD mortality. The thresholds of the TyG index may serve as potential tools for managing populations with cardiovascular-kidney-metabolic syndrome to reduce mortality risk.

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