Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation pronouncedly underestimates glomerular filtration rate in type 2 diabetes.
Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation pronouncedly underestimates glomerular filtration rate in type 2 diabetes.
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DOI：
10.2337/dc11-1282
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发表时间：
2011-11
期刊：
影响因子：
16.2
通讯作者：
Camargo EG
中科院分区：
文献类型：
--
作者：
Silveiro SP;Araújo GN;Ferreira MN;Souza FD;Yamaguchi HM;Camargo EG
目的：评估慢性肾脏疾病流行病学协作(CKD-EPI)方程在估计肾小球滤过率(GFR>；60mL/min/1.73m2)的2型糖尿病患者中的性能。这是一项横断面研究，包括105名2型糖尿病患者。用~(51)Cr-EDTA法测定GFR，用MDRD方程和CKD-EPI方程估算GFR。采用示踪Jaffe法测定血清肌酐。采用的是Bland-Altman曲线图。评估偏倚、准确度(P30)和精密度。患者平均年龄57±8岁，男性53例(50%)，白人90例(86%)。46例(44%)患者有微量蛋白尿，14例(13%)患者有大量蛋白尿。51Cr-EDTA GFR为103±23，CKD-EPI GFR为83±15，MDRD-GFR为78±17mL/min/1.73m2(P<0.001)。CKD-EPI的准确率(95%CI)为67%(58~74)，MDRD的准确率为%(56~75)。精确度分别为21和22。CKD-EPI和MDRD方程明显低估了2型糖尿病患者的GFR。
To evaluate the performance of the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation to estimate glomerular filtration rate (GFR) in type 2 diabetic patients with GFR >60 mL/min/1.73 m2. This was a cross-sectional study including 105 type 2 diabetic patients. GFR was measured by 51Cr-EDTA method and estimated by the MDRD and CKD-EPI equations. Serum creatinine was measured by the traceable Jaffe method. Bland-Altman plots were used. Bias, accuracy (P30), and precision were evaluated. The mean age of patients was 57 ± 8 years; 53 (50%) were men and 90 (86%) were white. Forty-six (44%) patients had microalbuminuria, and 14 (13%) had macroalbuminuria. 51Cr-EDTA GFR was 103 ± 23, CKD-EPI GFR was 83 ± 15, and MDRD-GFR was 78 ± 17 mL/min/1.73 m2 (P < 0.001). Accuracy (95% CI) was 67% (58–74) for CKD-EPI and 64% (56–75) for MDRD. Precision was 21 and 22, respectively. The CKD-EPI and MDRD equations pronouncedly underestimated GFR in type 2 diabetic patients.
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影响因子：
168.9
作者：
Matsushita, Kunihiro;van der Velde, Marije;Astor, Brad C.;Woodward, Mark;Levey, Andrew S.;de Jong, Paul E.;Coresh, Josef;Gansevoort, Ron T.
通讯作者：
Gansevoort, Ron T.
影响因子：
16.2
作者：
American Diabetes Association
通讯作者：
American Diabetes Association
影响因子：
16.2
作者：
Rognant N;Lemoine S;Laville M;Hadj-Aïssa A;Dubourg L
通讯作者：
Dubourg L
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)
影响因子：
3.5
作者：
Camargo, E. G.;Soares, A. A.;Silveiro, S. P.
通讯作者：
Silveiro, S. P.