Vital Predictive and Prognostic Roles of Triglyceride-Glucose Index in Women With Acute Myocardial Infarction: A Retrospective Cohort Study

甘油三酯-葡萄糖指数在急性心肌梗死女性患者中的预测和预后作用:一项回顾性队列研究

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Abstract

BACKGROUND AND AIMS: As a biomarker of insulin resistance (IR) in patients with acute myocardial infarction (AMI), the triglyceride-glucose index (TyG index) has received significant attention. However, most research on AMI has focused on male patients, as it is traditionally believed to primarily affect males. Therefore, this study was conducted on a female population with AMI to investigate the potential correlation between the TyG index and their outcomes. METHODS: A total of 320 women who were admitted to Fujian Provincial Hospital for AMI between January 2017 and December 2019 were included in this study. The TyG index was calculated using the following formula: ln [fasting triglycerides (TG) (mg/dL) × fasting plasma glucose (FPG) (mg/dL)/2]. The primary endpoint of the study was the occurrence of major adverse cardiovascular and cerebrovascular events (MACCEs), which included all-cause mortality, myocardial infarction, repeat revascularization, rehospitalization for heart failure and stroke. The association between the TyG index and unfavorable outcomes in female patients was investigated using the Cox proportional hazards regression model. RESULTS: It was ultimately estimated that 111 patients developed MACCEs. Females with high TyG indices had a higher prevalence of diabetes, elevated heart rates, and hemoglobin A1c, as well as a higher likelihood of undergoing thrombus aspiration and stent placement. The TyG index was found to be positively correlated with the prevalence of hypertension, diabetes, low-density lipoprotein cholesterol, hemoglobin A1c, and damaged vessels. However, this correlation was modest, yet statistically significant. Furthermore, after adjusting for conventional risk factors, the TyG index (HR: 4.292, 95% CI: 2.784-6.616, p < 0.001) was independently associated with MACCEs. CONCLUSION: As an independent risk predictor, the TyG index has the potential to enhance clinical outcomes for women with AMI.

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