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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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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 |
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author | 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 |
author_facet | 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 |
author_sort | Abate, Mersema |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9050544 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-90505442022-04-29 The effect of race coefficients on preemptive listing for kidney transplantation 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 Clin Kidney J Original Article 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. Oxford University Press 2021-12-23 /pmc/articles/PMC9050544/ /pubmed/35498880 http://dx.doi.org/10.1093/ckj/sfab287 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the ERA. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Article 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 The effect of race coefficients on preemptive listing for kidney transplantation |
title | The effect of race coefficients on preemptive listing for kidney transplantation |
title_full | The effect of race coefficients on preemptive listing for kidney transplantation |
title_fullStr | The effect of race coefficients on preemptive listing for kidney transplantation |
title_full_unstemmed | The effect of race coefficients on preemptive listing for kidney transplantation |
title_short | The effect of race coefficients on preemptive listing for kidney transplantation |
title_sort | effect of race coefficients on preemptive listing for kidney transplantation |
topic | Original Article |
url | 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 |
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