摘要
目的 分析TG、TC、LDL-C水平对急性心肌梗死(AMI)的预测价值.方法 以南阳市第一人民医院2023年1-12月心内科收治的162例冠心病患者为研究对象,其中79例AMI患者为AMI组,83例非心肌梗死患者为对照组.对两组患者的基线资料进行对比,分析AMI发生的影响因素,并采用多因素Logistic回归法分析血脂指标与AMI发生的相关性,采用受试者工作特征曲线(ROC)及其曲线下面积(AUC)计算并评估血脂指标预测AMI发生的效能.结果 与对照组相比,AMI组患者高血压、冠心病家族史、体质量指数(BMI)≥25 kg/m2占比高;载脂蛋白A-1(ApoA-1)、载脂蛋白B(ApoB)、ApoB/ApoA-1、谷丙转氨酶(ALT)、甘油三酯(TG)、总胆固醇(TC)、低密度脂蛋白胆固醇(LDL-C)、肌钙蛋白(cTnI)、N-末端脑利钠肽前体(NT-proBNP)水平均升高,高密度脂蛋白胆固醇水平(HDL-C)降低(P＜0.05).TG(≥1.8 mmol/L)、TC(≥4.7 mmol/L)、LDL-C≥(2.8 mmol/L)为 AMI发生的影响因素(P＜0.05),其预测AMI的AUC分别为0.623、0.654、0.548,三者联合预测的AUC为0.664.结论 TG、TC、LDL-C水平对AMI的发生均有一定预测价值,且联合应用效果更佳.
Abstract
Objective To analyze the predictive value of TG,TC,LDL-C levels for myocardial infarction(AMI).Methods By retrospective analysis,162 patients with coronary heart disease admit-ted to the Department of Cardiology of our hospital from January to December 2023 were analyzed,of which 79 patients were acute myocardial infarction group(AMI group),and the remaining 83 patients were non-myocardial infarction patients(control group).The general and clinical data of the two groups were compared,the influence factors of AMI were analyzed,and the correlation between blood lipid indexes and AMI was analyzed.Results Compared with the control group,the proportion of hy-pertension,family history of coronary heart disease and body mass index(BMI)≥25kg/m2 in AMI group was higher than that in the control group.Apolipoprotein A-l(ApoA-1),Apolipoprotein B(ApoB),ApoB/ApoA-1,alanine aminotransferase,triglyceride(TG),total cholesterol(TC),low density lipoprotein cholesterol(LDL-C),The levels of troponin(cTnl),amino terminal brain natri-uretic peptide precursor(NT-proBNP)were increased,while the levels of high density lipoprotein cholesterol(HDL-C)was decreased(P＜0.05).The influence factors of AMI were TG≥1.8 mmol/L,TC≥4.7 mmol/L and LDL-C≥2.8 mmol/L(P＜0.05).TG,TC and LDL-C all had certain pre-dictive value for AMI occurrence,and the combined application of TG,TC and LDL-C was better than the single diagnosis of each index(P＜0.05).Conclusion The levels of TG,TC and LDL-C can pre-dict the occurrence of AMI,and the combined application is better.
维普
万方数据