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 E-Mail Washington, DC (May 6, 2021) An ongoing debate is focused on race-based algorithms in medicine such as an adjustment for Black race in equations that estimate individuals kidney function. A study appearing in an upcoming issue of JASN examines the impact of dropping this race adjustment on patient care. Assessing individuals kidney function plays an important role in screening for and treating kidney diseases, and current methods primarily rely on estimating kidney function, what s known as a patient s estimated glomerular filtration rate (eGFR), from the serum creatinine level. The most commonly used eGFR equation includes an adjustment for Black versus non-Black race, resulting in higher eGFR values for a Black patient compared with a non-Black patient. Recognizing that race is a social and not a biological construct, however, several healthcare institutions no longer report eGFR with an adjustment for Black race, and ASN and the National Kidney Foundation have recen

United statesMariae montez rathKurella tamuraGlennm chertowVishal duggalI chun thomasManjula kurella tamuraNutrition examination surveyNational healthMph va palo alto health care systemVeterans affairs va health care systemNational kidney foundationAmerican society of nephrologyNational estimates of chronic kidney disease prevalenceStanford universityAlto health care system