Predicting ESRD in Patients with Chronic Kidney Disease
In patients with chronic kidney disease, an important use of the estimated glomerular filtration rate (eGFR) is to predict progression to end-stage renal disease (ESRD) so that clinicians can initiate appropriate interventions — including referral for specialist care — in a timely fashion. A tool called the Kidney Failure Risk Equation (KFRE https://qxmd.com/calculate/calculator_308/kidney-failure-risk-equation-4-variable) uses four variables — age, sex, eGFR, and urinary albumin–creatinine ratio — to generate an estimate of 2-year risk for progression to ESRD.
In a study on the website of the Annals of Internal Medicine (https://doi.org/10.7326/M21-2928), researchers sought to determine whether adjustment for race contributes to the KFRE’s predictive accuracy in 3900 U.S. patients with chronic kidney disease (mean follow-up, >9 years). To do so, they compared KFRE predictions of end-stage renal disease using eGFR from the 2021 version of the CKD-EPI equation (https://www.mdcalc.com/ckd-epi-equations-glomerular-filtration-rate-gfr) — which does not incorporate race — and earlier versions that did incorporate race. (Note: Laboratories commonly use the CKD-EPI equations to report eGFR results that appear alongside serum creatinine results.)
With both the 2021 and earlier versions of GFR estimates, KFRE significantly improved the accuracy of predicting 2-year incidence of ESRD, compared with using eGFR alone. The race adjustment in earlier versions of eGFR did not have a relevant effect on ESRD prediction.
In this analysis, race is not a clinically necessary component for estimating GFR or predicting ESRD. Moreover, the KFRE — which includes the urinary albumin–creatinine ratio — leads to better predictions than does eGFR alone. The National Kidney Foundation and American Society of Nephrology recommend using the new CKD-EPI equations (without race) for eGFR in U.S. laboratories.
Daniel D. Dressler, MD, MSc, MHM, FACP & Allan S. Brett, MD
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