![]() ![]() As the Chronic Kidney Disease Epidemiology Consortium (CKD-EPI) equation, developed in the United States, is clearly the most popular and is also currently recommended by the International Nephrology guidelines (KDIGO), other creatinine-based equations have also been proposed. However, the choice of the eGFR equation is not so easy. Yet, the decision to automatically report (or not) the eGFR on the results protocol and the choice of the equation used to estimate GFR engages the responsibility of the clinical laboratories. ![]() Measuring GFR with a reference method, such as iohexol clearance, remains indicated in specific patients and/or specific situations, and here also, the role of the clinical laboratories is central and should still evolve positively in the future.Ĭompared to the “old” Cockcroft and Gault equation, the “new” creatinine-based equations to estimate glomerular filtration rate (GFR) allow a systematic estimation of the GFR (eGFR) with creatinine results by clinical laboratories. Finally, we must keep in mind that all GFR equations remain an estimation of GFR, especially rough at the individual level. Beyond serum creatinine, the estimating equations based on cystatin C will probably gain in popularity, especially because cystatin C seems independent of race. In Europe, this equation could be for instance the new European Kidney Function Consortium (EKFC) equation, which is population-specific, developed from European cohorts and accurate from infants to the older old. This recommendation is completely in line with a recent Editorial published by the European Renal Association who has also proposed to change to a novel equation only when it has considerably better performance, trying to reach global consensus before implementing such a new glomerular filtration rate (GFR) estimation equation. The EFLM recommends not to implement the race-free Chronic Kidney Disease Epidemiology Consortium (CKD-EPI) equation in European laboratories and to keep the 2009 version of the CKD-EPI equation, without applying a race correction factor. ![]()
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