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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 (eGFR CG ), the Modification of Diet in Renal Disease equation (eGFR MDRD ), and the Chronic Kidney Disease Epidemiology Collaboration equation (eGFR CKD-EPI ) with technetium-diethylenetriaminepentaacetic acid ( 99m Tc-DTPA) clearance (mGFR) in 207 potential kidney donors and 108 uninephric donors. Before donation, eGFR CKD-EPI  showed minimal bias and did not show a significant difference from mGFR (P = 0.65, respectively) while 24 hr urine-CrCl and eGFR MDRD  significantly underestimated mGFR (P<0.001 for each). Precision and accuracy was highest in eGFR CKD-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, eGFR MDRD  was superior to other equations in precision and accuracy in contrast to before donation. Within individual analysis, eGFR MDRD  showed better performance at post-donation compared to pre-donation, but eGFR CKD-EPI  and eGFR CG  showed inferior performance at post-donation. In conclusion, eGFR CKD-EPI  showed better performance compared to other equations before donation. In a uninephric donor, however, eGFR MDRD  is more appropriate for the estimation of renal function than eGFR CKD-EPI .

Comparison of Estimating Equations for the Prediction of Glomerular Filtration Rate in Kidney Donors before and after Kidney Donation