摘要
目的:急性心肌梗死(AMI)患者常伴随心律失常,甘油三酯-葡萄糖指数(TyG)作为代谢综合征的标志物,可能在预测AMI患者心律失常的发生中发挥作用。本研究旨在评估TyG指数与AMI患者心律失常的关系及其预测效能。方法:本研究纳入7324例AMI患者,按TyG指数分为高TyG组(≥8.95)和低TyG组(<8.95)。通过单因素和多因素Logistic回归分析评估TyG指数与心律失常的关系,使用ROC曲线分析其诊断效能。并进行亚组分析,进一步探讨TyG指数在不同临床特征下的预测能力。结果:多因素Logistic回归分析结果显示,TyG指数与心律失常的发生显著相关(OR=3.43,95%CI:2.87~4.11,P<0.001)。ROC曲线分析显示,TyG指数的AUC为0.726(95%CI:0.709~0.743),灵敏度为0.870,特异度为0.491。亚组分析结果表明,TyG指数在不同性别、年龄、糖尿病患者中均具有显著相关性,尤其在糖尿病患者中,其预测效能更强(OR=1.93,95%CI:1.35~2.75)。结论:TyG指数在AMI患者心律失常的预测中具有较高的临床价值。尤其在糖尿病患者中,TyG指数能更准确地识别高风险个体。
Objective:Arrhythmias are commonly associated with acute myocardial infarction(AMI),and the TyG index,as a marker of metabolic syndrome,may play a role in predicting the occurrence of arrhythmias in AMI patients.This study aims to evaluate the relationship between the TyG index and arrhythmias in AMI patients,as well as its predictive efficacy.Methods:This study included AMI patients from the First Affiliated Hospital of Xi'an Jiaotong University,who were categorized into high TyG group(≥8.95)and low TyG group(<8.95).The relationship between the TyG index and arrhythmias was assessed using univariate and multivariate logistic regression analysis,and its diagnostic performance was evaluated through ROC curve analysis.Subgroup analysis was also performed to further explore the predictive ability of the TyG index in different clinical characteristics.Results:Multivariate logistic regression analysis revealed a significant association between the TyG index and the occurrence of arrhythmias(OR=3.43,95%CI:2.87-4.11,P<0.001).ROC curve analysis showed that the AUC of the TyG index was 0.726(95%CI:0.709-0.743),with a sensitivity of 0.870 and specificity of 0.491.Subgroup analysis indicated that the TyG index was significantly associated with arrhythmias in different genders,age groups,and diabetic patients,particularly in diabetic patients,where its predictive efficacy was stronger(OR=1.93,95%CI:1.35-2.75).Conclusion:The TyG index demonstrates significant clinical value in predicting arrhythmias in AMI patients,particularly in identifying high-risk individuals in diabetic patients.
作者
祁珊珊
李博涵
童睿
肖懿慧
雷新军
陈方尧
余航
QI Shanshan;LI Bohan;TONG Rui;XIAO Yihui;LEI Xinjun;CHEN Fangyao;YU Hang(Department of Health Medicine,The First Affiliated Hospital of Xi'an Jiaotong University,Xi'an 710061,China;Department of Cardiovascular Medicine,the First Affiliated Hospital of Xi'an Jiaotong University,Xi'an 710061,China;Department of Epidemiological Biostatistics,School of Public Health,Xi'an Jiaotong University,Xi'an 710061,China)
出处
《陕西医学杂志》
2025年第10期1337-1342,共6页
Shaanxi Medical Journal
基金
国家自然科学基金资助项目(82000414)
陕西省重点研发计划项目(2025SF-YBXM-184)。
