Yang Ling, Peng Yu, Zhang Zheng
The First Clinical Medicine School of Lanzhou University, Lanzhou, China.
The Heart Center of the First Hospital of Lanzhou University, and the Key Laboratory of Cardiovascular Diseases of Gansu Province, Lanzhou, China.
Cardiovasc J Afr. 2024 Feb 21;34:1-6. doi: 10.5830/CVJA-2023-060.
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).
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 ( = 100), T2 ( = 100) and T3 group ( = 100). According to the presence or absence of MACE, the 300 patients were divided into a MACE ( = 80) and a non-MACE group ( = 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.
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 < 0.05).
The TyG index was independently associated with the severity of PCAD and MACE, and had a good predictive value.
本研究旨在探讨甘油三酯-葡萄糖（TyG）指数对评估住院早发冠心病（PCAD）患者病情严重程度及主要不良心血管事件（MACE）的预测价值。
本研究共纳入300例经冠状动脉造影（CAG）确诊的PCAD患者。根据TyG指数三分位数，将300例患者分为T1组（=100）、T2组（=100）和T3组（=100）。根据是否发生MACE，将300例患者分为MACE组（=80）和非MACE组（=220）。比较各组患者的临床资料，通过多变量逻辑回归分析TyG指数与PCAD严重程度及MACE的关系，并采用受试者工作特征（ROC）曲线检测其预测价值。
多变量逻辑回归分析显示，TyG指数是PCAD严重程度及MACE的独立危险因素。ROC曲线下面积分别为0.833和0.807（均P<0.05）。
TyG指数与PCAD严重程度及MACE独立相关，具有良好的预测价值。
