检验医学 ›› 2018, Vol. 33 ›› Issue (2): 119-123.DOI: 10.3969/j.issn.1673-8640.2018.02.006

• 临床应用研究_论著 • 上一篇    下一篇

血栓弹力图-MA参数在急性冠脉综合征中的诊断价值

陆秋涯, 陆怡德, 孙爱华, 马蔚云, 周依琼, 王学锋   

  1. 上海交通大学医学院附属瑞金医院检验科,上海 200025;
  • 收稿日期:2017-06-30 出版日期:2018-02-28 发布日期:2018-03-02
  • 作者简介:null

    作者简介:陆秋涯,男,1978年生,博士,主管技师,主要从事临床化学和血栓止血检验工作。

Thromboelastography-MA parameter in the diagnosis of acute coronary syndrome

LU Qiuya, LU Yide, SUN Aihua, MA Weiyun, ZHOU Yiqiong, WANG Xuefeng   

  1. Department of Clinical Laboratory,Ruijin Hospital,Shanghai 200025,China;
  • Received:2017-06-30 Online:2018-02-28 Published:2018-03-02

摘要:

目的 探讨血栓弹力图(TEG)-MA参数在急性冠脉综合征(ACS)中的早期诊断价值。方法 按冠心病诊断标准,选取160例ACS患者(ACS组)及52例稳定型心绞痛(SAP)患者(SAP组),分别测定2个组的血常规、心肌标志物、血脂、常规凝血指标和TEG。采用受试者工作特征(ROC)曲线评价各指标对ACS的诊断性能。运用二元Logistic回归分析,分析ACS的风险因素。结果 ACS组中糖尿病比例和高血压比例均高于SAP组(P<0.05和P<0.01)。同时,ACS组的肌钙蛋白I(cTnI)、纤维蛋白原(Fib)和血小板(PLT)也明显高于SAP组(P<0.01)。TEG参数中除R外,2个组其他参数差异均有统计学意义(P<0.01)。ROC曲线分析,TEG-MA的曲线下面积(AUC)最大(0.904),最佳临界值为66.60 mm时,诊断敏感性为80.00%,特异性为90.40%。二元Logistic回归分析表明,TEG-MA是ACS的独立风险因素,可以辅助诊断ACS。结论 TEG-MA能反映PLT和Fib的活化,对ACS的早期诊断具有一定临床意义,可与cTnI和心电图联合检测,发挥互补作用,也可为后续的抗PLT治疗提供依据。

关键词: 血栓弹力图, 急性冠脉综合征, 受试者工作特征曲线, Logistic回归分析

Abstract:

Objective To investigate the role of thromboelastography(TEG)-MA parameter in the early diagnosis of acute coronary syndrome(ACS). Methods A total of 160 patients with ACS and 52 patients with stable angina pectoris(SAP) were enrolled. Routine blood test,cardiac markers,blood lipid,routine coagulation test and TEG were performed and determined. Receiver operating characteristic(ROC)curve was used to evaluate the diagnosis performance of each index. Binary Logistic regression analysis was used to define independent risk factors for ACS. Results The proportions of diabetes mellitus and hypertension were higher in ACS group than those in SAP group(P<0.05 and P<0.01). The levels of cardiac troponin I(cTnI),fibrinogen(Fib) and platelet(PLT) count were higher in ACS group than those in SAP group(P<0.01). Except R parameter,TEG parameters had statistical significance between the 2 groups(P<0.01). The area under curve(AUC) of TEG-MA parameter was 0.904. The optimal cut-off value for the diagnosis of ACS was 66.6 mm,while the sensitivity was 80.0%,and the specificity was 90.4%. Binary Logistic regression analysis showed that TEG-MA parameter was an independent risk factor and auxiliary diagnostic parameter for ACS. Conclusions TEG-MA parameter could be used as a predictor of PLT and Fib activation. Combined with cTnI and electrocardiography,TEG-MA parameter can be a parameter for the early diagnosis of ACS and could provide a reference for anti-PLT therapy.

Key words: Thromboelastography, Acute coronary syndrome, Receiver operating characteristic curve, Logistic regression analysis

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