The predictive value of triglyceride–glucose index for assessing the severity and MACE of premature coronary artery disease

Ling Yang, Yu Peng, Zheng Zhang

Abstract

Objective: The aim of this study was to investigate the predictive value of the triglyceride–glucose (TyG) index to assess the severity and major adverse cardiovascular events (MACE) of patients in hospital with premature coronary artery disease (PCAD).
Methods: A total of 300 patients with PCAD, diagnosed by coronary angiography (CAG), were enrolled in this study. According to the tertiles of TyG index, the 300 patients were divided into a T1 (n = 100), T2 (n = 100) and T3 group (n = 100). According to the presence or absence of MACE, the 300 patients were divided into a MACE (n = 80) and a non-MACE group (n = 220). The patients’ clinical data were compared between the groups, the relationship between TyG index and the severity of PCAD and MACE were analysed through multivariable logistic regression analysis, and their predictive value was detected using receiver operating characteristic (ROC) curves.
Results: Multivariable logistic regression analysis showed that the TyG index was an independent risk factor for the severity of PCAD and MACE. The area under the ROC curve was 0.833 and 0.807, respectively (all p < 0.05).
Conclusion: The TyG index was independently associated with the severity of PCAD and MACE, and had a good predictive value.