Association of triglyceride-glucose index with major adverse cardiovascular events after coronary artery bypass grafting
- VernacularTitle:甘油三酯-葡萄糖指数与冠状动脉旁路移植术后主要不良心血管事件的相关性分析
- Author:
Ziran ZHANG
1
;
Sujuan WANG
1
;
Yajun GUO
1
;
Yanyan JIANG
1
Author Information
1. Department of Cardiac Surgery Ward 1, The 7th People’s Hospital of Zhengzhou, Zhengzhou, 450016, P. R. China
- Publication Type:Journal Article
- Keywords:
Triglyceride-glucose index;
coronary artery bypass grafting;
major adverse cardiovascular events;
prediction model
- From:
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery
2026;33(10):1657-1663
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the predictive value of the triglyceride glucose (TyG) index in major adverse cardiovascular events (MACE) in patients after coronary artery bypass grafting (CABG) surgery. Methods A retrospective collection of patients with coronary heart disease who underwent CABG treatment in the Department of Cardiac Surgery Ward 1, the 7th People’s Hospital of Zhengzhou, from 2015 to 2024 was conducted. The X-tile software was used to calculate the optimal cutoff value of the TyG index, and patients were divided into two groups based on this optimal cutoff value. The association between the TyG index and MACE was explored through univariate analysis, Kaplan-Meier survival curve analysis, and Cox regression analysis. The predictive ability of the TyG index was evaluated by important factor ranking and the area under the receiver operating characteristic curve (AUC). Results A total of 998 patients were included, with 630 patients having a TyG index ≤8.80, including 438 males and 192 females, with a median age of 60 (55, 65) years; and 368 patients with a TyG index >8.80, including 236 males and 132 females, with a median age of 63 (57, 69) years. Cumulative survival curves showed that the incidence of MACE in the TyG index≤8.80 group was significantly lower than that in the TyG index>8.80 group (log-rank test, P<0.001). Cox regression analysis indicated that TyG>8.80 was an independent risk factor for MACE [HR=2.581, 95%CI (1.201, 5.549), P<0.001]. In the important factor ranking, the TyG index had the greatest impact on MACE. The TyG index could enhance the predictive ability of the MACE prediction model, with the AUC increasing from 0.712 to 0.872. Conclusion The TyG index is independently associated with MACE after CABG, and may improve the discriminative performance of the predictive model in internal samples; however, prospective, multicenter studies and external validation are still required for confirmation.
