title: Comparison of estimating equations for the prediction of glomerular filtration rate in kidney donors before and after kidney donation.
abstract: The aim of this study is to investigate the usefulness of the GFR-estimating equations to predict renal function in kidney donors before and after transplantation. We compared the performance of 24-hour-urine-based creatinine clearance (24 hr urine-CrCl), the Cockcroft-Gault formula (eGFRCG), the Modification of Diet in Renal Disease equation (eGFRMDRD), and the Chronic Kidney Disease Epidemiology Collaboration equation (eGFRCKD-EPI) with technetium-diethylenetriaminepentaacetic acid ((99m)Tc-DTPA) clearance (mGFR) in 207 potential kidney donors and 108 uninephric donors. Before donation, eGFRCKD-EPI showed minimal bias and did not show a significant difference from mGFR (P = 0.65, respectively) while 24 hr urine-CrCl and eGFRMDRD significantly underestimated mGFR (P<0.001 for each). Precision and accuracy was highest in eGFRCKD-EPI and this better performance was more dominant when renal function is higher than 90 mL·min(-1)·1.73 m(-2). After kidney donation, eGFRMDRD was superior to other equations in precision and accuracy in contrast to before donation. Within individual analysis, eGFRMDRD showed better performance at post-donation compared to pre-donation, but eGFRCKD-EPI and eGFRCG showed inferior performance at post-donation. In conclusion, eGFRCKD-EPI showed better performance compared to other equations before donation. In a uninephric donor, however, eGFRMDRD is more appropriate for the estimation of renal function than eGFRCKD-EPI.
authors.affiliation: Transplant research center, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
authors.forename: Byung Ha
authors.initials: BH
authors.lastname: Chung
authors.forename: Jee Hyun
authors.initials: JH
authors.lastname: Yu
authors.forename: Hyuk Jin
authors.initials: HJ
authors.lastname: Cho
authors.forename: Ji-Il
authors.initials: JI
authors.lastname: Kim
authors.forename: In Sung
authors.initials: IS
authors.lastname: Moon
authors.forename: Cheol Whee
authors.initials: CW
authors.lastname: Park
authors.forename: Chul Woo
authors.initials: CW
authors.lastname: Yang
authors.forename: Yong-Soo
authors.initials: YS
authors.lastname: Kim
authors.forename: Bum Soon
authors.initials: BS
authors.lastname: Choi
mesh_terms: D000328:Adult; D001806:Blood Urea Nitrogen; D002712:Chlorides / Q000652:urine; D017608:Chromium Compounds / Q000652:urine; D003404:Creatinine / Q000652:urine; D003627:Data Interpretation, Statistical; D005260:Female; D005919:Glomerular Filtration Rate / Q000502:physiology*; D006801:Humans; D007668:Kidney / Q000502:physiology*; D016030:Kidney Transplantation; D019520:Living Donors; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D012044:Regression Analysis; D016284:Technetium Tc 99m Pentetate / Q000652:urine
chemical_list: D002712:Chlorides; D017608:Chromium Compounds; D003404:Creatinine; C017133:chromous chloride; D016284:Technetium Tc 99m Pentetate