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糖化血红蛋白与空腹血糖在2型糖尿病诊断中价值的比较
引用本文:李军,张震,周婷,李思源,吴媛媛.糖化血红蛋白与空腹血糖在2型糖尿病诊断中价值的比较[J].农垦医学,2012,34(3):198-200.
作者姓名:李军  张震  周婷  李思源  吴媛媛
作者单位:1. 石河子大学医学院第一附属医院内分泌科,新疆石河子,832008
2. 石河子大学医学院,新疆石河子,832002
3. 石河子大学医学院第一附属医院中心实验室,新疆石河子,832008
摘    要:目的:评估糖化血红蛋白(HbA1c)在诊断2型糖尿病(T2DM)中的价值.方法:251名患者行口服葡萄糖耐量试验(OGTT),同时测定HbA1c,绘制受试者工作特征(ROC)曲线.结果:HbA1c诊断T2DM的最佳界值为7.05%,此时灵敏度为91.1%,特异度为92.8%,曲线下面积(AUC)为0.971;空腹血糖(FPG)诊断T2DM的最佳界值为6.94mmol/L,此时灵敏度为81%,特异度为100%,AUC为0.944.结论:以HbA1c≥7.05%为DM诊断标准,敏感性较FPG(界值为6.94)高,特异性较FPG低.

关 键 词:糖化血红蛋白  2型糖尿病  空腹血糖  口服葡萄糖耐量试验  受试者工作特征曲线

The Value of Glycated haemoglobin A1c for the diagnosis of type 2 diabetes compared with fasting plasma glucose
LI Jun , ZHANG zhen , ZHOU Tin , LI Si-yuan , WU Yuan-yuan.The Value of Glycated haemoglobin A1c for the diagnosis of type 2 diabetes compared with fasting plasma glucose[J].Agricultural Reclamation Medicine,2012,34(3):198-200.
Authors:LI Jun  ZHANG zhen  ZHOU Tin  LI Si-yuan  WU Yuan-yuan
Institution:1.Department of Endocrinology,First Affiliated Hospital,Shihezi University School of Medicine,Xinjiang Shihezi,832008; 2.Shihezi University School of Medicine,Xinjiang Shihezi,832002;3.The Central Laboratory,First Affiliated Hospital, Shihezi University School of Medicine,Xinjiang Shihezi,832008))
Abstract:Objective: To evaluate the role of HbA1c in T2DM diagnosis.Methods:251 patients were underwent oral glucose tolerance test(OGTT) and HbA1c measurement.The receiver operating characteristic(ROC) curve was drawing.Results:The optimal cut-point of ROC curve of HbA1c is 7.05%,with sensitivity of 91.1%,specificity of 92.8%,area under the curve(AUC) of 0.971.However,the optimal cut-point of ROC curve of FPG was 6.94mmol/L,with sensitivity of 81%,specificity of 100%,area under the curve(AUC) of 0.944.Conclusion:Compared with FPG(cut-point: 6.94 mmol/L),HbA1c(cut-point: 7.05%) has higher sensitivity but lower specificity.
Keywords:glycated hemoglobin(HbA1c)  Type 2 diabetes mellitus(T2DM)  fasting plasma glucose(FPG)  oral glucose tolerance test(OGTT)  receiver operating characteristic(ROC) curve
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