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应用ROC曲线分析cTnI和CK-MB对AMI的诊断价值
引用本文:郭占军,赵华,杨焕云,郭爱芹,于震,孟宪涛.应用ROC曲线分析cTnI和CK-MB对AMI的诊断价值[J].医学检验与临床,2006,17(5):28-30.
作者姓名:郭占军  赵华  杨焕云  郭爱芹  于震  孟宪涛
作者单位:1. 山东聊城市中医医院,聊城,252000
2. 聊城市人民医院,聊城,252000
摘    要:目的应用ROC曲线分析肌钙蛋白I(cTnI)和CK-MB对心肌梗死(AM)的诊断价值。方法胶体金免疫层析法(GICA)测定病例组与健康对照组的血清cTnI,血清CK-MB测定采用速率法,并对cTnI和CK-MB进行统计学比较(t检验)和ROC分析。结果cTnI在心肌梗死诊断中的敏感度为96.2%,特异度为93.9%,阳性结果预测值为94.4%,准确度为95,1%;CK-MB的敏感度为84.9%,特异度为95.9%阳性结果预测值为91.8%,准确度为90.2%;cTnI的ROC曲线下面积AUC=0.97,CK-MB的AUC=0.89。结论胶体金免疫层析法(CICA)测定cTnI可以作为诊断心肌梗死的快速诊断指标,并优于CK-MB指标。

关 键 词:心肌梗死  心肌肌钙蛋白I  肌酸激酶同功酶MB  ROC曲线

To analyze cTnl and CK- MB in the diagnostic value of acute myocardial infarclion with ROC curves analysis
Guo Zhanjun,Zhao Hua,Yang Huanyun,Guo Aiqin,Yu Zhen,Meng Xiantao.To analyze cTnl and CK- MB in the diagnostic value of acute myocardial infarclion with ROC curves analysis[J].Medical Laboratory Science and Clinics,2006,17(5):28-30.
Authors:Guo Zhanjun  Zhao Hua  Yang Huanyun  Guo Aiqin  Yu Zhen  Meng Xiantao
Abstract:Objective To analyze quantitatively the cardiac troponin I(cTnI) and CK-MB in the diagnosis of acute myocardial infarction(AMI) by using the relative operating charactcristic(ROC) curves.Methods Detecting the cTnI in AMI patients and in control group by gold inununochromatog raphy assay(GICA) technique,the CK-MB by kinetic analysis method,then analyzing the data with t-test and ROC curves.Results the relative in dex of cTnl was diagnostics sensitivity: 96.2% specificity:93.9%,positive predictive value:94.4%.accuracy:95.1% and the area under curve(AUC)0.97:the lative inde of CK-MB was diagnostics sensitivity:84.9%,specificity:95.9%,positive predictive value:91.8%,accuracy:90.2%,and the area under curve(AISC):0.89.Conclusion Detecting the cTnI in AMI paticmts and in control group by gold immunochromatography assay(GICA) technique is confirmed to be the golden for detection of acute myocardial infarctiomand the cTnI was best than CK-MB.
Keywords:Acute myocardial infarction  Eardiac troponin I  Ereatine kinase isozyme MB  Relative operating characteristic(ROC) curves
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