Utility of the Kidney Failure Risk Equation and Estimated GFR for Estimating Time to Kidney Failure in Advanced CKD

RATIONALE & OBJECTIVE: The Kidney Failure Risk Equation (KFRE) predicts the 2-year risk of kidney failure for patients with chronic kidney disease (CKD). Translating KFRE-predicted risk or estimated glomerular filtration rate (eGFR) into time to kidney failure could inform decision making for patients approaching kidney failure. STUDY DESIGN: Retrospective cohort. SETTING & PARTICIPANTS: from 34 US nephrology practices (2013-2021). EXPOSURE: 2-year KFRE risk or eGFR. OUTCOME: Kidney failure defined as initiation of dialysis or kidney transplantation. ANALYTICAL APPROACH: . We examined variability in time to kidney failure by age, sex, race, diabetes status, albuminuria, and blood pressure. RESULTS: . LIMITATIONS: Inability to account for competing risks when estimating time to kidney failure. CONCLUSIONS: or KFRE risk>40%), both KFRE risk and eGFR showed similar relationships with time to kidney failure. Our results demonstrate that estimating time to kidney failure in advanced CKD can inform clinical decisions and patient counseling on prognosis, regardless of whether estimates are based on eGFR or the KFRE. PLAIN-LANGUAGE SUMMARY: or KFRE risk > 40%), both KFRE risk and eGFR showed similar relationships with time to kidney failure. Estimating time to kidney failure in advanced CKD using either eGFR or KFRE can inform clinical decisions and patient counseling on prognosis.