Department of Coronary Disease and Heart Failure at John Paul II Hospital.
Jagiellonian University Medical College, Kraków, Poland.
Coron Artery Dis. 2023 Aug 1;34(5):314-319. doi: 10.1097/MCA.0000000000001242. Epub 2023 May 23.
Recently two indicators - metabolic score for insulin resistance (METS-IR) and triglyceride glucose-BMI (TyG-BMI) have been proposed as surrogate markers of IR and potential cardiovascular risk factors. The aim of the study was to assess the predictive value of METS-IR and TyG-BMI concerning the incidence of major adverse cardiovascular events (MACE) and all-cause mortality in 1-year follow-up among patients admitted with acute myocardial infarction (AMI).
Two thousand one hundred fifty-three patients with a median age of 68 years were enrolled in the study. Patients were divided into two groups according to the type of AMI.
MACE occurred in 7.9% of the patients in the ST-segment elevation myocardial infarction (STEMI) group and in 10.9% of the non-STEMI (NSTEMI) group. No significant difference in median MACE-IR and TyG-BMI between patients with and without incidence of MACE was found in both groups. None of the examined indices were predictors of MACE in the STEMI and NSTEMI groups. Moreover, both of them did not predict MACE in subgroups of patients classified according to the presence of diabetes. Finally, METS-IR and TyG-BMI were significant predictors of 1-year morality, however with low prognostic value and only in univariate regression analysis.
METS-IR and TyG-BMI should not be used in predicting MACE among patients with AMI.
最近,代谢性胰岛素抵抗评分(METS-IR)和甘油三酯-葡萄糖-BMI(TyG-BMI)这两个指标被提议作为胰岛素抵抗的替代标志物和潜在的心血管危险因素。本研究的目的是评估 METS-IR 和 TyG-BMI 在预测急性心肌梗死(AMI)患者 1 年随访期间主要不良心血管事件(MACE)和全因死亡率方面的价值。
研究纳入了 2153 名中位年龄为 68 岁的患者。根据 AMI 的类型,将患者分为两组。
STEMI 组中有 7.9%的患者发生了 MACE,NSTEMI 组中有 10.9%的患者发生了 MACE。在两组中,发生和未发生 MACE 的患者之间的中位 MACE-IR 和 TyG-BMI 无显著差异。在 STEMI 和 NSTEMI 组中,没有一个被检查的指标是 MACE 的预测因素。此外,它们在根据是否患有糖尿病分类的患者亚组中也不能预测 MACE。最后,METS-IR 和 TyG-BMI 是 1 年死亡率的显著预测因素,但预后价值低,仅在单变量回归分析中。
METS-IR 和 TyG-BMI 不应用于预测 AMI 患者的 MACE。