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使用测量误差模型通过线性回归分析对糖化血红蛋白(HbA1c)和糖化白蛋白水平之间的转换方法进行分析。

Analysis of the method for conversion between levels of HbA1c and glycated albumin by linear regression analysis using a measurement error model.

作者信息

Tahara Yasuhiro

机构信息

Meimai Central Hospital, Internal Medicine, Diabetes Division, Akashi, Hyogo, Japan.

出版信息

Diabetes Res Clin Pract. 2009 Jun;84(3):224-9. doi: 10.1016/j.diabres.2009.03.014. Epub 2009 Apr 19.

DOI:10.1016/j.diabres.2009.03.014
PMID:19380169
Abstract

AIM

To establish a method for conversion between HbA(1c) and glycated albumin (GA) using a measurement error model (MEM).

METHODS

Type 2 diabetic patients, without complications that might affect either HbA(1c) or GA, were enrolled in the study (n=154, age 68.4+/-9.9). HbA(1c), GA and postprandial plasma glucose (PPG) levels were measured simultaneously on >or=3 occasions.

RESULTS

PPG showed a significant correlation with HbA(1c) and GA (p<0.001 for both). Correlation between HbA(1c) and GA was very high (r=0.747, p<0.001). When the independent variable was assumed to be GA, common regression analysis yielded a regression line HbA(1c)=2.59+0.204GA. When the independent variable was changed to HbA(1c), the regression line became GA=2.26+2.74HbA(1c). The y-intercept of the first line was significantly positive, whereas that of the second was not. The regression line using MEM was HbA(1c)=1.73+0.245GA. The y-intercept was 1.73+/-0.38 (p<0.001) and the slope was 0.245+/-0.018 (p<0.001), showing that 1% increase in HbA(1c) level corresponds to 4% increase in GA level.

CONCLUSIONS

The relationship between HbA(1c) and GA was examined by regression analysis using MEM. HbA(1c) levels in Japan appear to have a positive shift of approximately 1.7%. Incremental ratio 4 of GA vs. HbA(1c) showed good consistency with values derived from in vitro data.

摘要

目的

建立一种使用测量误差模型(MEM)在糖化血红蛋白(HbA1c)和糖化白蛋白(GA)之间进行转换的方法。

方法

纳入无可能影响HbA1c或GA的并发症的2型糖尿病患者(n = 154,年龄68.4±9.9)。在≥3个不同时间点同时测量HbA1c、GA和餐后血糖(PPG)水平。

结果

PPG与HbA1c和GA均呈显著相关性(两者p均<0.001)。HbA1c与GA之间的相关性非常高(r = 0.747,p<0.001)。当自变量假定为GA时,普通回归分析得出回归线HbA1c = 2.59 + 0.204GA。当自变量改为HbA1c时,回归线变为GA = 2.26 + 2.74HbA1c。第一条线的截距显著为正,而第二条线的截距则不然。使用MEM的回归线为HbA1c = 1.73 + 0.245GA。截距为1.73±0.38(p<0.001),斜率为0.245±0.018(p<0.001),表明HbA1c水平每增加1%对应GA水平增加4%。

结论

使用MEM通过回归分析研究了HbA1c与GA之间的关系。日本的HbA1c水平似乎有大约1.7%的正向偏移。GA与HbA1c的增量比4与体外数据得出的值具有良好的一致性。

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