文章摘要
王飞飞,杨慧亮,吴 曦,朱 萍,杨颖华,陈 晨.急性心肌梗死患者血清Clusterin、GMP140与冠状动脉病变和心血管不良事件的关系研究[J].,2023,(8):1511-1515
急性心肌梗死患者血清Clusterin、GMP140与冠状动脉病变和心血管不良事件的关系研究
Study of the Relationship between Serum CLU and GMP140 and Coronary Artery Lesions and Adverse Cardiovascular Events in Patients with Acute Myocardial Infarction
投稿时间:2022-08-27  修订日期:2022-09-23
DOI:10.13241/j.cnki.pmb.2023.08.022
中文关键词: 急性心肌梗死  丛生蛋白  颗粒膜蛋白140  冠状动脉病变  主要心血管不良事件
英文关键词: Acute myocardial infarction  Clusterin  Granule membrane protein 140  Coronary artery lesions  Major adverse cardiovascular events
基金项目:北京市科技计划项目(Z171100001017243)
作者单位E-mail
王飞飞 首都医科大学大兴教学医院急诊内科 北京 102600 wang1988feifei@163.com 
杨慧亮 首都医科大学大兴教学医院急诊内科 北京 102600  
吴 曦 首都医科大学大兴教学医院急诊内科 北京 102600  
朱 萍 首都医科大学大兴教学医院急诊内科 北京 102600  
杨颖华 首都医科大学大兴教学医院急诊内科 北京 102600  
陈 晨 北京大学人民医院心内科 北京 100044  
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中文摘要:
      摘要 目的:探讨急性心肌梗死(AMI)患者血清丛生蛋白(CLU)、颗粒膜蛋白140(GMP140)与冠状动脉病变和主要心血管不良事件(MACE)的关系。方法:选取2020年1月~2021年12月我院收治的129例AMI患者为AMI组,根据冠状动脉病变支数分为单支病变组(n=34)、双支病变组(n=50)、多支病变组(n=45),随访6个月并根据是否发生MACE将AMI患者分为MACE组和非MACE组,另选取同期55名体检健康志愿者为对照组。收集AMI患者临床资料,采用酶联免疫吸附法检测血清CLU、GMP140水平。分析AMI患者MACE的影响因素,受试者工作特征(ROC)曲线分析血清CLU、GMP140水平对AMI患者MACE的预测价值。结果:AMI组血清CLU、GMP140水平高于对照组(P<0.05)。单支病变组、双支病变组、多支病变组血清CLU、GMP140水平依次升高(P<0.05)。随访6个月后,129例AMI患者MACE发生率为25.58%(33/129)。多因素Logistic回归分析显示,左心室射血分数升高为独立保护因素,年龄增加、ST段抬高型心肌梗死、KILLIP分级≥Ⅲ级、低密度脂蛋白胆固醇(LDL-C)升高、CLU升高、GMP140升高为AMI患者MACE的独立危险因素(P<0.05)。ROC曲线分析显示,血清CLU、GMP140水平联合预测AMI患者MACE的曲线下面积大于CLU、GMP140单独预测(P<0.05)。结论:AMI患者血清CLU、GMP140水平升高与冠状动脉病变和MACE有关,可能成为AMI患者MACE的辅助预测指标。
英文摘要:
      ABSTRACT Objective: To investigate the relationship between serum clusterin (CLU) and granule membrane protein 140 (GMP140) and coronary artery lesions and major adverse cardiovascular events (MACE) in patients with acute myocardial infarction (AMI). Methods: 129 patients with AMI who were admitted to our hospital from January 2020 to December 2021 were selected as the AMI group. According to the number of coronary artery lesions, they were divided into single vessel lesion group (n=34), double vessel lesion group(n=50), and multi vessel lesion group(n=45). The patients were followed up for 6 months and divided into MACE group and non-MACE group according to whether MACE occurred. Another 55 healthy volunteers in the same period were selected as the control group. The clinical data of patients with AMI were collected, and the serum CLU and GMP140 levels were detected by enzyme-linked immunosorbent assay. Multivariate Logistic regression was used to analyze the influencing factors of MACE in patients with AMI, and the predictive value of serum CLU and GMP140 levels on MACE in patients with AMI was analyzed by the receiver operating characteristic (ROC) curve. Results: Serum CLU and GMP140 levels in the AMI group were higher than those in the control group (P<0.05). The serum CLU and GMP140 levels in the single vessel disease group, double vessel disease group and multi vessel disease group increased in turn (P<0.05). 6 months after follow-up, the incidence of MACE in 129 patients with AMI was 25.58% (33/129). Multivariate Logistic regression analysis showed that elevated left ventricular ejection fraction was independent protective factor, increased age, ST segment elevation myocardial infarction, KILLIP grade≥III, elevated low density lipoprotein cholesterol (LDL-C), elevated CLU and elevated GMP140 were independent risk factors for MACE in patients with AMI(P<0.05). ROC curve analysis showed that the area under curve of MACE predicted by serum CLU and GMP140 levels in patients with AMI was greater than that predicted by CLU and GMP140 alone (P<0.05). Conclusion: Elevated serum CLU and GMP140 levels in patients with AMI are associated with coronary artery lesions and MACE, and which may be an auxiliary predictor of MACE in patients with AMI.
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