Triglyceride-glucose index in the prediction of clinical outcomes after successful recanalization for coronary chronic total occlusions

• Published in: Cardiovascular diabetology Vol. 22; no. 1; pp. 1 - 304
• Main Authors: Yang, Yu, Ma, Mengqing, Zhang, Jian, Jin, Shiyu, Zhang, Dingxin, Lin, Xianhe
• Format: Journal Article
• Language: English
• Published: London BioMed Central 08.11.2023; BMC
• Subjects: Blood pressure; Cardiovascular disease; Cerebral infarction; Chronic total occlusion; Clinical outcomes; Coronary vessels; Glucose; High density lipoprotein; Hyperlipidemia; Hypertension; Insulin resistance; Medical prognosis; Metabolism; Mortality; Myocardial infarction; Normal distribution; Percutaneous coronary intervention; Prognosis; Regression analysis; Risk factors; Statistical analysis; Survival; Triglyceride-glucose index
• ISSN: 1475-2840; 1475-2840
• DOI: 10.1186/s12933-023-02037-6

Abstract Background Triglyceride-glucose index (TyG) has been widely used to predict cardiovascular outcomes. However, it remains unclear whether TyG holds prognostic significance for patients with coronary chronic total occlusions (CTO). Thus, our study aimed to evaluate the predictive accuracy and prognostic value of TyG in individuals who underwent successful percutaneous coronary intervention (PCI) for CTO. Methods A total of 331 consecutive patients with ≥ 1 successful CTO-PCI were included. The baseline and angiographic data were acquired. The duration of follow-up ranged from 32 to 79 months, with a median of 44 months and an interquartile range of 39 to 67 months. The primary outcome measured was the occurrence of major adverse cardiac and cerebrovascular events (MACCE), including mortality, target vessel revascularization, recurrent myocardial infarction, and stroke. Results After controlling for confounders, multivariate Cox regression analysis revealed that TyG remained statistically significant, regardless of being a continuous or categorical variable. In the partially adjusted regression model, the Hazard ratio (95%CI) for MACCE was 2.54 (1.12–5.79) in tertile 3 and 1.61 (1.22–2.12) per SD increase in the TyG.Kaplan-Meier survival analysis demonstrated significant differences in MACCE-free survival rates across tertiles of the TyG, as indicated by the log-rank test (p = 0.001). ROC analysis was conducted to evaluate the predictive ability of TyG for MACCE, resulting in an AUC of 0.677. Conclusion The TyG index demonstrates independent predictive capabilities for MACCE in patients who have undergone successful CTO-PCI. These findings suggest that TyG holds the potential as a valuable tool in risk stratification and the identification of patients who may benefit from early intervention in the management of CTO.