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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) uses four variables — age, sex, eGFR, and urinary albumin–creatinine ratio — to generate an estimate of 2-year risk for progression to ESRD.
In this study of 3900 U.S. patients with chronic kidney disease (mean follow-up, >9 years), researchers sought to determine whether adjustment for race contributes to the KFRE's predictive accuracy. To do so, they compared KFRE predictions of end-stage renal diseas…