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The effect of race coefficients on preemptive listing for kidney transplantation

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 dist...

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Detalles Bibliográficos
Autores principales: Abate, Mersema, Jandovitz, Nicholas, Hirsch, Jamie S, Breslin, Nadine, Lau, Lawrence, Fahmy, Ahmed E, Jhaveri, Kenar D, Richardson, Safiya, Alsalmay, Yaser, Baez, Anthony, Mishra, Akash, Bolourani, Siavash, Miyara, Santiago J, Winnick, Aaron, Nair, Gayatri, Bhaskaran, Madhu C, Grodstein, Elliot, Kressel, Adam M, Teperman, Lewis W, Molmenti, Ernesto P, Nair, Vinay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9050544/
https://www.ncbi.nlm.nih.gov/pubmed/35498880
http://dx.doi.org/10.1093/ckj/sfab287
Descripción
Sumario: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 m(2) 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.