Association between triglyceride-glucose related indices and all-cause and cause-specific mortality in the general population: a cohort study

医学 血管病学 内科学 甘油三酯 糖尿病 队列 队列研究 人口 人口学 内分泌学 环境卫生 胆固醇 社会学
作者
Shan Li,Li An,Zhiqing Fu,Wei Zhang,Hongbin Liu
出处
期刊:Cardiovascular Diabetology [Springer Nature]
卷期号:23 (1) 被引量:24
标识
DOI:10.1186/s12933-024-02390-0
摘要

Although triglyceride-glucose (TyG) index is a reliable indicator of insulin resistance and cardiometabolic disease, its effectiveness in predicting mortality risk has not been adequately validated. We aimed to investigate the association between the TyG-related indices and all-cause and cause-specific mortality in the general population. A total of 27,642 individuals were included from the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2018. Three indicators were constructed, including the TyG index, TyG combined with waist-to-height ratio (TyG-WHtR), and TyG combined with waist circumference (TyG-WC). Mortality data was acquired through the linkage of NHANES data with National Death Index records. Weighted Cox proportional hazards models were used to estimate the independent association between the TyG-related indices and mortality. Nonlinear associations were explored using restricted cubic splines. Multivariable adjusted models showed a progressive increase in all-cause and cause-specific mortality across quartiles of the TyG-related indices. Compared with the lowest quartile of the TyG index, the highest quartile had adjusted hazard ratios of 1.26 (95% CI 1.04–1.52) for all-cause mortality, 1.38 (1.04–1.74) for cardiovascular mortality, and 1.23 (1.01–1.50) for non-cardiovascular mortality, respectively. For the TyG-WHtR index, the corresponding hazard ratios were 1.60 (1.25–2.05), 1.86 (1.26–2.50), and 1.48 (1.10–1.99), respectively. For the TyG-WC index, the corresponding hazard ratios were 1.42 (1.11–1.75), 1.48 (1.04–1.96), and 1.38 (1.05–1.72), respectively. The associations between the three TyG-related indices and all-cause, cardiovascular and non-cardiovascular mortality were J-shaped. Interaction tests revealed significant effect modification by age, low-density lipoprotein cholesterol (LDL-C) level, and statin use (all P values < 0.05). The TyG-related indices were independent predictors of all-cause and cause-specific mortality in the general population. Young individuals should be particularly vigilant, whereas low LDL-C levels and statin use are potentially protective.
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