Abstract

This diagnostic/prognostic study examines the estimated glomerular filtration rates (eGFR) and iothalamate clearance glomerular filtration rates (iGFR) and the Chronic Kidney Disease-Epidemiology (CKD-EPI) equation race coefficient in the Chronic Renal Insufficiency Cohort study.

Highlights

  • Zelnick et al[1] analyzed data from the Chronic Renal Insufficiency Cohort (CRIC) obtained from the National Institute of Diabetes and Digestive and Kidney Diseases central repository and reported that the Chronic Kidney Disease-Epidemiology (CKD-EPI) equation estimated glomerular filtration rates were higher than iothalamate clearance glomerular filtration rates among selfreported Black participants with iGFR less than 45 mL/min/1.73 m2

  • Among the subset of CRIC participants who selfidentified as Black and had iGFR less than 45 mL/min/1.73 m2, we quantified the difference between estimated glomerular filtration rates (eGFR) and iGFR

  • Among non-Black participants with baseline iGFR less than 45 mL/min/1.73 m2, there was apparent overestimation of iGFR by eGFR (Table) (Figure B)

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Summary

Introduction

Zelnick et al[1] analyzed data from the Chronic Renal Insufficiency Cohort (CRIC) obtained from the National Institute of Diabetes and Digestive and Kidney Diseases central repository and reported that the Chronic Kidney Disease-Epidemiology (CKD-EPI) equation estimated glomerular filtration rates (eGFR) were higher than iothalamate clearance glomerular filtration rates (iGFR) among selfreported Black participants with iGFR less than 45 mL/min/1.73 m2. An unbiased eGFR estimation aims to ensure that for the set of individuals who have the same eGFR value, the mean iGFR value is the same as the eGFR. The correlation between the difference between eGFR and iGFR (eGFR − iGFR) and iGFR is expected for an unbiased eGFR estimation.[2] We offer an alternative view of the data here with different clinical implications

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