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The effect of race coefficients on preemptive listing for kidney transplantation
ABSTRACT Background Race coefficients of estimated glomerular filtration rate (eGFR) formulas may be partially responsible for racial inequality in preemptive listing for kidney transplantation. Methods We used the Scientific Registry of Transplant Recipients database to evaluate differences in raci...
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Published in: | Clinical kidney journal 2022-05, Vol.15 (5), p.942-950 |
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Main Authors: | , , , , , , , , , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | ABSTRACT
Background
Race coefficients of estimated glomerular filtration rate (eGFR) formulas may be partially responsible for racial inequality in preemptive listing for kidney transplantation.
Methods
We used the Scientific Registry of Transplant Recipients database to evaluate differences in racial distribution of preemptive listing before and after application of the Modification of Diet in Renal Disease (MDRD) and the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) race coefficients to all preemptively listed non-Black kidney transplant candidates (eGFR modulation). Odds of preemptive listing were calculated by race, with Black as the reference before and after eGFR modulation. Variables known to influence preemptive listing were included in the model.
Results
Among 385 087 kidney-alone transplant candidates from 1 January 2010 to 2 December 2020, 118 329 (30.7%) candidates were identified as preemptively listed (71.7% White, 19% Black, 7.8% Asian, 0.6% multi-racial, 0.6% Native American and 0.3% Pacific Islander). After eGFR modulation, non-Black patients with an eGFR ≥20 mL/min/1.73 m2 were removed. Compared with Black candidates, the adjusted odds of preemptive listing for White candidates decreased from 2.01 [95% confidence interval (95% CI) 1.78–2.26] before eGFR modulation to 1.18 (95% CI 1.0–1.39; P = 0.046) with the MDRD and 1.37 (95% CI 1.18–1.58) with the CKD-EPI equations after adjusting for race coefficients.
Conclusions
Removing race coefficients in GFR estimation formulas may result in a more equitable distribution of Black candidates listed earlier on a preemptive basis.
Graphical Abstract
Graphical Abstract |
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ISSN: | 2048-8505 2048-8513 |
DOI: | 10.1093/ckj/sfab287 |