Performance of the chronic kidney disease epidemiology collaboration equation to estimate glomerular filtration rate in diabetic patients.
Performance of the chronic kidney disease epidemiology collaboration equation to estimate glomerular filtration rate in diabetic patients.
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DOI：
10.2337/dc11-0203
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发表时间：
2011-06
期刊：
影响因子：
16.2
通讯作者：
Dubourg L
中科院分区：
文献类型：
--
作者：
Rognant N;Lemoine S;Laville M;Hadj-Aïssa A;Dubourg L
估计糖尿病患者肾小球滤过率（GFR）的最佳方法仍有很大争议。我们在欧洲糖尿病人群中比较了基于肌酐的配方奶粉的性能。我们通过计算平均偏倚和偏倚的四分位距（IQR）、10%（P10）和30%（P30）准确度以及Bland-Altman图，在246例糖尿病患者中比较了Cockcroft和Gault、简化的肾脏病饮食改良（MDRD）和慢性肾脏病流行病学（CKD-EPI）协作方程的性能。通过菊粉清除率测量GFR。对于整个人群，CKD-EPI的IQR略低，但MDRD的平均偏倚较低，P10和P30较高。在特定亚组中观察到类似的结果，包括轻度肾功能不全患者、肥胖患者或2型糖尿病患者。在我们的人群中，CKD-EPI公式在估计GFR方面并没有表现出比简化MDRD公式更好的性能。
The best method to estimate glomerular filtration rate (GFR) in diabetic patients is still largely debated. We compared the performance of creatinine-based formulas in a European diabetic population. We compared the performance of Cockcroft and Gault, simplified Modification of Diet in Renal Disease (MDRD), and Chronic Kidney Disease Epidemiology (CKD-EPI) Collaboration equations in 246 diabetic patients by calculating the mean bias and the interquartile range (IQR) of the bias, 10% (P10) and 30% (P30) accuracies, and Bland-Altman plots. GFR was measured by inulin clearance. For the whole population, the IQR was slightly lower for CKD-EPI, but the mean bias was lower and P10 and P30 were higher for MDRD. Similar results were observed in specific subgroups, including patients with mild renal insufficiency, obese patients, or type 2 diabetic patients. In our population, the CKD-EPI formula does not exhibit better performance than the simplified MDRD formula for estimating GFR.
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影响因子：
13.2
作者：
Whaley-Connell, Adam T.;Sowers, James R.;Collins, Allan J.
通讯作者：
Collins, Allan J.
影响因子：
9.8
作者：
Rigalleau, V;Lasseur, C;Gin, H
通讯作者：
Gin, H
影响因子：
39.2
作者：
Levey AS;Stevens LA;Schmid CH;Zhang YL;Castro AF 3rd;Feldman HI;Kusek JW;Eggers P;Van Lente F;Greene T;Coresh J;CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration)
通讯作者：
CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration)
DOI：
10.1053/j.ajkd.2010.03.026
发表时间：
2010-09
期刊：
American journal of kidney diseases : the official journal of the National Kidney Foundation
影响因子：
--
作者：
Stevens LA;Schmid CH;Greene T;Zhang YL;Beck GJ;Froissart M;Hamm LL;Lewis JB;Mauer M;Navis GJ;Steffes MW;Eggers PW;Coresh J;Levey AS
通讯作者：
Levey AS
影响因子：
16.2
作者：
Rigalleau, V;Lasseur, C;Gin, H
通讯作者：
Gin, H