Relative performance of two equations for estimation of glomerular filtration rate in a Chinese population having chronic kidney disease

作     者：Li Jiang-tao Xun Chen Cui Chun-li Wang Hui-fang Wu Yi-tai Yun Ai-hong Jiang Xiao-feng Ma Jun 

作者机构：Tongji Univ Tongji Hosp Dept Nephrol Sch Med Shanghai 200065 Peoples R China 

出 版 物：《Chinese Medical Journal》 (中华医学杂志（英文版）)

年 卷 期：2012年第000卷第4期

页      面：599-603页

核心收录：

学科分类：090603[农学-临床兽医学] 01[哲学] 0101[哲学-哲学] 09[农学] 0906[农学-兽医学] 010108[哲学-科学技术哲学] 

主　　题：chronic kidney disease glomerular filtration rate abbreviated modification of diet in renal disease equation Chronic Kidney Disease Epidemiology Collaboration equation 

摘      要：Background The new Chronic Kidney Disease Epidemiology Collaboration （CKD-EPI） equation was developed to address the systematic underestimation of glomerular filtration rate （GFR） by the Modification of Diet in Renal Disease （MDRD） Study equation in patients with relatively well-preserved kidney *** of the new equation in the Chinese population is *** goal of the present study was to compare performance of these two equations in Chinese patients with chronic kidney disease （CKD）.Methods We enrolled 450 Chinese patients （239 women and 211 men） with CKD in the present *** renal dynamic imaging method was used to measure the referenced standard GFR （rGFR） for comparison with estimations using the two *** overall performance was assessed with the Bland-Altman method and receiver-operating characteristics （ROC） *** of the two equations in lower and higher estimated GFR （eGFR） subgroups was further *** Both eGFRs correlated well with rGFR （r=0.88,0.81,P〈0.05）.In overall performance,the CKD-EPI equation showed less bias,higher precision and improved accuracy,and was better for detecting *** the higher-eGFR subgroup,the CKD-EPI equation corrected the underestimation of GFR by the abbreviated MDRD *** The CKD-EPI equation outperformed the abbreviated MDRD equation not only in overall performance but also in the subgroups *** the present,the CKD-EPI equation appears to be the first-choice prediction equation for estimating GFR.