空腹血糖与糖化血红蛋白联合检测对2型糖尿病具有有效的预测作用：关西医疗保健研究
Combined measurement of fasting plasma glucose and A1C is effective for the prediction of type 2 diabetes: the Kansai Healthcare Study.
作者信息
Sato Kyoko Kogawa, Hayashi Tomoshige, Harita Nobuko, Yoneda Takeshi, Nakamura Yoshiko, Endo Ginji, Kambe Hiroshi
机构信息
Department of Preventive Medicine and Environmental Health, Osaka City University Graduate School of Medicine, Osaka, Japan.
出版信息
Diabetes Care. 2009 Apr;32(4):644-6. doi: 10.2337/dc08-1631. Epub 2009 Jan 8.
OBJECTIVE
We prospectively assessed whether the combined measurements of fasting plasma glucose (FPG) and A1C were effective for predicting type 2 diabetes.
RESEARCH DESIGN AND METHODS
Study participants included 6,736 nondiabetic Japanese men aged 40-55 years. Type 2 diabetes was diagnosed in those who had an FPG >or=126 mg/dl or who were being treated with an oral antidiabetic agent or insulin. The models including FPG, A1C, and both were compared using the area under the receiver operating characteristic (AUROC) curves.
RESULTS
During the 4-year follow-up period, we confirmed 659 diabetes cases. In multivariate analysis, both FPG and A1C were independently associated with the risk of type 2 diabetes. The model including both FPG and A1C had a greater AUROC curve than that including FPG alone (0.853 vs. 0.818; P < 0.001) or A1C alone (0.853 vs. 0.771; P < 0.001).
CONCLUSIONS
The combined measurement of FPG and A1C was effective for predicting type 2 diabetes.
目的
我们前瞻性地评估空腹血糖（FPG）和糖化血红蛋白（A1C）联合检测对预测2型糖尿病是否有效。
研究设计与方法
研究参与者包括6736名年龄在40 - 55岁之间的非糖尿病日本男性。FPG≥126 mg/dl或正在接受口服降糖药或胰岛素治疗的患者被诊断为2型糖尿病。使用受试者工作特征曲线下面积（AUROC）对包括FPG、A1C以及两者联合的模型进行比较。
结果
在4年的随访期内，我们确诊了659例糖尿病病例。在多变量分析中，FPG和A1C均与2型糖尿病风险独立相关。包含FPG和A1C两者的模型比仅包含FPG的模型（0.853对0.818；P < 0.001）或仅包含A1C的模型（0.853对0.771；P < 0.001）具有更大的AUROC曲线。
结论
FPG和A1C联合检测对预测2型糖尿病有效。
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