Estimating Equations for Glomerular Filtration Rate in the Era of Creatinine Standardization: A Systematic Review.
Ann Intern Med. 2012 Feb 6;
Authors: Earley A, Miskulin D, Lamb EJ, Levey AS, Uhlig K
Abstract
Background: Clinical laboratories are increasingly reporting estimated glomerular filtration rate (GFR) by using serum creatinine assays traceable to a standard reference material. Purpose: To review the performance of GFR estimating equations to inform the selection of a single equation by laboratories and the interpretation of estimated GFR by clinicians. Data Sources: A systematic search of MEDLINE, without language restriction, between 1999 and 21 October 2011. Study Selection: Cross-sectional studies in adults that compared the performance of 2 or more creatinine-based GFR estimating equations with a reference GFR measurement. Eligible equations were derived or reexpressed and validated by using creatinine measurements traceable to the standard reference material. Data Extraction: Reviewers extracted data on population characteristics, measured GFR, creatinine assay, and equation performance. Data Synthesis: Eligible studies compared the MDRD (Modification of Diet in Renal Disease) Study and CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) equations or modifications thereof. In 12 studies in North America, Europe, and Australia, the CKD-EPI equation performed better at higher GFRs (approximately >60 mL/min per 1.73 m(2)) and the MDRD Study equation performed better at lower GFRs. In 5 of 8 studies in Asia and Africa, the equations were modified to improve their performance by adding a coefficient derived in the local population or removing a coefficient. Limitation: Methods of GFR measurement and study populations were heterogeneous. Conclusion: Neither the CKD-EPI nor the MDRD Study equation is optimal for all populations and GFR ranges. Using a single equation for reporting requires a tradeoff to optimize performance at either higher or lower GFR ranges. A general practice and public health perspective favors the CKD-EPI equation. Primary Funding Source: Kidney Disease: Improving Global Outcomes foundation.
PMID: 22312131 [PubMed - as supplied by publisher]