Moving forward from Cockcroft-Gault creatinine clearance to race-free estimated glomerular filtration rate to improve medication-related decision-making in adults across healthcare settings: A consensus of the National Kidney Foundation Workgroup for Implementation of Race-Free eGFR-Based Medication-Related Decisions

Abstract Purpose The goals of this paper are to (1) provide evidence and expert consensus to support a unified approach to estimating kidney filtration in adults with stable kidney function using race-free estimated glomerular filtration rate (eGFR) in place of Cockcroft-Gault estimated creatinine clearance (C-G eCrCL) for medical and medication-related decisions, and (2) demonstrate how adjusting eGFR results for an individual’s body surface area (BSA) when it is higher or lower than 1.73 m2 will improve results for medication-related decisions. Summary C-G eCrCL is predominantly used by US pharmacists to determine eGFR for the purposes of medication-related decisions, even though more accurate eGFR equations exist. Several driving factors make it the ideal time to shift clinical practice from using C-G eCrCL to eGFR. These factors include the following: (1) 2024 Food and Drug Administration (FDA) guidance for industry recommends eGFR over C-G eCrCL to evaluate the impact on pharmacokinetics in patients with impaired kidney function; (2) a joint National Kidney Foundation (NKF) and American Society of Nephrology task force recommends 3 race-free Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) eGFR equations for medical and medication-related decision-making; (3) the almost ubiquitous use of standardized serum creatinine assay methods in US clinical laboratories; and (4) increasing availability and use of serum cystatin C for eGFR assessment. This publication guides practitioners through the rationale for using race-free eGFR equations for medication-related decisions and how to implement this practice change. Conclusion The NKF Workgroup for Implementation of Race-Free eGFR-Based Medication-Related Decisions suggests that health systems, health settings, clinical laboratories, electronic health record systems, compendia and data vendors, and healthcare practitioners involved with medication-related decision-making transition away from C-G eCrCL and towards the race-free eGFR equations for more accurate assessment of kidney filtration and consistency in medication and medical decision-making across the US.