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      National Estimates of CKD Prevalence and Potential Impact of Estimating Glomerular Filtration Rate Without Race

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          Abstract

          Background

          The implications of removing the adjustment for Black race in equations to eGFR on the prevalence of CKD and management strategies are incompletely understood.

          Methods

          We estimated changes in CKD prevalence and the potential effect on therapeutic drug prescriptions and prediction of kidney failure if race adjustment were removed from the CKD-EPI GFR estimating equation. We used cross-sectional and longitudinal data from adults aged ≥18 years in the National Health and Nutrition Examination Survey (NHANES) from 2015 to 2016, and the Veterans Affairs (VA) Health Care System in 2015. In the VA cohort, we assessed use of common medications that require dose adjustment on the basis of kidney function, and compared the prognostic accuracy of the Kidney Failure Risk Equation with versus without race adjustment of eGFR.

          Results

          The prevalence of CKD among Black adults increased from 5.2% to 10.6% in NHANES, and from 12.4% to 21.6% in the VA cohort after eliminating race adjustment. Among Black veterans, 41.0% of gabapentin users, 33.5% of ciprofloxacin users, 24.0% of metformin users, 6.9% of atenolol users, 6.6% of rosuvastatin users, and 5.8% of tramadol users were reclassified to a lower eGFR for which dose adjustment or discontinuation is recommended. Without race adjustment of eGFR, discrimination of the Kidney Failure Risk Equation among Black adults remained high and calibration was marginally improved overall, with better calibration at higher levels of predicted risk.

          Conclusions

          Removal of race adjustment from CKD-EPI eGFR would double the estimated prevalence of CKD among Black adults in the United States. Such a change is likely to affect a sizeable number of drug-dosing decisions. It may also improve the accuracy of kidney failure risk prediction among higher-risk Black adults.

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          Examining the Potential Impact of Race Multiplier Utilization in Estimated Glomerular Filtration Rate Calculation on African-American Care Outcomes

          Advancing health equity entails reducing disparities in care. African-American patients with chronic kidney disease (CKD) have poorer outcomes, including dialysis access placement and transplantation. Estimated glomerular filtration rate (eGFR) equations, which assign higher eGFR values to African-American patients, may be a mechanism for inequitable outcomes. Electronic health record-based registries enable population-based examination of care across racial groups.
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            Clinical Implications of Removing Race From Estimates of Kidney Function

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              Pro: Risk scores for chronic kidney disease progression are robust, powerful and ready for implementation.

              Accurate risk prediction for chronic kidney disease (CKD) progression can inform the patient-provider dialogue, and provide actionable thresholds for key clinical decisions. In 2011, we developed the kidney failure risk equations (KFREs) to predict the risk of kidney failure requiring dialysis or transplant in patients with CKD. Subsequently, the KFREs have been extensively validated, and have now been proven accurate in multiple continents, ethnicities and disease-specific subpopulations. They can discriminate progressors from non-progressors, and are well calibrated and easy to use. We believe that current and future studies should now focus on clinical implementation of the KFREs, through quality improvement initiatives and cluster randomized trials. A risk-based care paradigm for CKD care can be achieved through knowledge translation and implementation research.
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                Author and article information

                Contributors
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                Journal
                Journal of the American Society of Nephrology
                JASN
                American Society of Nephrology (ASN)
                1046-6673
                1533-3450
                May 06 2021
                : ASN.2020121780
                Article
                10.1681/ASN.2020121780
                33958490
                e0877726-7647-4ff1-9d87-d593d6499beb
                © 2021
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