ArticleFrontiers in cardiovascular medicine2026
Cumulative triglyceride-glucose-body mass index exposure and cardiovascular disease risk: findings from the Kailuan study.
Article in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: The relationship between cumulative triglyceride-glucose-body mass index (TyG-BMI) exposure and the risk of cardiovascular disease (CVD) has been unclear. This study investigated the association between cumulative TyG-BMI exposure and the risk of CVD in the Chinese population using data from the large-scale, prospective community-based Kailuan Study. Methods: The Kailuan Study included 47,577 individuals without a history of CVD or cancer who underwent health examinations in 2006, 2008, and 2010. Cumulative TyG-BMI exposure was calculated as the weighted sum of the mean TyG-BMI for each time interval (value × time). Participants were stratified into four groups based on the cumulative TyG-BMI exposure quartile. Cox proportional hazards regression models were established to calculate hazard ratios and 95% confidence intervals for evaluation of the relationship between cumulative TyG-BMI exposure and risk of CVD. The area under the receiver operating characteristic (ROC) curve was calculated to compare the predictive power of cumulative TyG-BMI, TyG, and BMI for CVD. Results: A total of 3,514 incident cardiovascular events occurred during a median follow-up of 10 years. The risk of CVD increased with increasing cumulative TyG-BMI exposure quartile. After adjusting for potential confounders, Cox regression analysis yielded respective hazard ratios (95% confidence intervals) of 1.32 (1.18-1.49), 1.33 (1.18-1.49), and 1.44 (1.29-1.62) for the Q2, Q3, and Q4 groups in comparison with the Q1 group. The subgroup analysis showed a significant interaction between cumulative TyG-BMI index and age or hypertension, but there was no interaction between sex, Diabetes mellitus and cumulative TyG-BMI index. The restricted cubic spline analysis revealed a significant non-linear relationship between cumulative TyG-BMI index and the risk of CVD. The area under the ROC curve (AUC) of cumulative TyG-BMI was 0.6047, demonstrating modestly higher discriminative performance than TyG (AUC: 0.5602) and BMI (AUC: 0.5612). Conclusions: High cumulative TyG-BMI exposure is associated with an increased risk of CVD. The TyG-BMI value may help to identify individuals at high risk of developing CVD.
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