Estimating Glomerular Filtration Rate in Kidney Transplantation: Is the New Chronic Kidney Disease Epidemiology Collaboration Equation Any Better?
Open Access
- 1 March 2010
- journal article
- Published by Oxford University Press (OUP) in Clinical Chemistry
- Vol. 56 (3), 474-477
- https://doi.org/10.1373/clinchem.2009.135111
Abstract
Background: The new Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation was developed to address the systematic underestimation of the glomerular filtration rate (GFR) by the Modification of Diet in Renal Disease (MDRD) Study equation in patients with a relatively well-preserved kidney function. The performance of the new equation for kidney transplant recipients (KTRs) is unknown. Methods: We used the plasma clearance of 99mTc–diethylenetriamine pentaacetic acid to measure the GFR in a cohort of 207 stable KTRs and estimated the GFR with the new CKD-EPI equation. Results: The mean bias for the CKD-EPI equation of −4.5 mL · min−1 · (1.73 m2)−1 was lower than that of the 4-variable MDRD Study equation; however, the 2 equations showed similar variation of individual biases around the mean or median bias, so that only modest improvement was seen in the overall percentage of GFR estimates within 30% of the measured GFR (84% vs 77% for the CKD-EPI vs MDRD Study equations, respectively). In the cohort with a GFR >60 mL · min−1 · (1.73 m2)−1 (n = 98), the CKD-EPI bias was much less than that of the MDRD Study equation [−7.4 mL · min−1 · (1.73 m2)−1 vs −14.3 mL · min−1 ·(1.73 m2)−1], and an accuracy of ±30% was seen for 89% of GFR estimates, compared with 77% with the MDRD Study equation. The variation of the individual biases around the mean bias remained substantial [SD = 13.7 mL · min−1 · (1.73 m2)−1]. Conclusions: The CKD-EPI equation shows improved estimation ability, and we recommend that it replace the MDRD Study equation as the currently preferred creatinine-based estimating equation for KTRs. The precision of GFR estimates obtained with the CKD-EPI equation remains suboptimal, however, and we recommend that research on other markers of GFR, such as cystatin C and β-trace protein, be pursued.Keywords
Funding Information
- Physicians’ Services Incorporated Foundation (R03–59)
- Astellas Pharma Canada
This publication has 13 references indexed in Scilit:
- A New Equation to Estimate Glomerular Filtration RateAnnals of Internal Medicine, 2009
- Performance of Creatinine-Based Estimates of GFR in Kidney Transplant Recipients: A Systematic ReviewAmerican Journal of Kidney Diseases, 2008
- Using Standardized Serum Creatinine Values in the Modification of Diet in Renal Disease Study Equation for Estimating Glomerular Filtration RateAnnals of Internal Medicine, 2006
- Estimating Glomerular Filtration Rate in Kidney TransplantationJournal of the American Society of Nephrology, 2005
- Predictive Performance of Renal Function Equations in Renal Transplant Recipients: An Analysis of Patient Factors in BiasAmerican Journal of Transplantation, 2005
- Using Serum Creatinine To Estimate Glomerular Filtration Rate: Accuracy in Good Health and in Chronic Kidney DiseaseAnnals of Internal Medicine, 2004
- Calibration and random variation of the serum creatinine assay as critical elements of using equations to estimate glomerular filtration rateAmerican Journal of Kidney Diseases, 2002
- A More Accurate Method To Estimate Glomerular Filtration Rate from Serum Creatinine: A New Prediction EquationAnnals of Internal Medicine, 1999
- PREDICTING GLOMERULAR FILTRATION RATE AFTER KIDNEY TRANSPLANTATIONTransplantation, 1995
- Prediction of Creatinine Clearance from Serum CreatinineNephron, 1976