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Contribution of Estimates of Glomerular Filtration to the Extensive Disparities in Preemptive Listing for Kidney Transplant

INTRODUCTION: The use of race coefficients in equations for estimated glomerular filtration rate (eGFR) may have contributed to racial disparities in access to preemptive (without dialysis exposure) kidney transplantation (Ktx). METHODS: In this retrospective national cohort study of incident kidney...

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Autores principales: King, Kristen L., Yu, Miko, Husain, S. Ali, Patzer, Rachel E., Sandra, Vanessa, Reese, Peter P., Schold, Jesse D., Mohan, Sumit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10014377/
https://www.ncbi.nlm.nih.gov/pubmed/36938099
http://dx.doi.org/10.1016/j.ekir.2022.12.021
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author King, Kristen L.
Yu, Miko
Husain, S. Ali
Patzer, Rachel E.
Sandra, Vanessa
Reese, Peter P.
Schold, Jesse D.
Mohan, Sumit
author_facet King, Kristen L.
Yu, Miko
Husain, S. Ali
Patzer, Rachel E.
Sandra, Vanessa
Reese, Peter P.
Schold, Jesse D.
Mohan, Sumit
author_sort King, Kristen L.
collection PubMed
description INTRODUCTION: The use of race coefficients in equations for estimated glomerular filtration rate (eGFR) may have contributed to racial disparities in access to preemptive (without dialysis exposure) kidney transplantation (Ktx). METHODS: In this retrospective national cohort study of incident kidney transplant candidates in the United States from 2001 to 2019, we describe temporal trends and racial disparities in preemptive listing and the distribution of eGFR at listing, using eGFR as reported and after removing the race coefficient for Black candidates. RESULTS: Among 511,686 candidates, preemptive listing increased over time, from 18% in 2001 to 33% in 2019. Non-Black candidates were listed preemptively nearly twice as frequently as Black candidates in 2019 (38% vs. 21% preemptive) and at higher eGFR values (median 15.6 vs. 15.0 ml/min per 1.73 m(2)). After adjusting for candidate characteristics, including listing eGFR without the race coefficient, preemptive Black candidates still had significantly lower odds of preemptive deceased donor (DD) kidney transplantation compared to non-Black candidates (odds ratio 0.87, 95% confidence interval: 0.78−0.98). CONCLUSIONS: Over the last 2 decades, Black patients were consistently less likely to be listed preemptively and were listed at lower eGFR values. Adjusting for listing eGFR with the race coefficient computationally removed did not eliminate the racial disparity, suggesting that additional efforts are needed to achieve equity in preemptive transplantation beyond adopting race-free eGFR equations.
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spelling pubmed-100143772023-03-16 Contribution of Estimates of Glomerular Filtration to the Extensive Disparities in Preemptive Listing for Kidney Transplant King, Kristen L. Yu, Miko Husain, S. Ali Patzer, Rachel E. Sandra, Vanessa Reese, Peter P. Schold, Jesse D. Mohan, Sumit Kidney Int Rep Clinical Research INTRODUCTION: The use of race coefficients in equations for estimated glomerular filtration rate (eGFR) may have contributed to racial disparities in access to preemptive (without dialysis exposure) kidney transplantation (Ktx). METHODS: In this retrospective national cohort study of incident kidney transplant candidates in the United States from 2001 to 2019, we describe temporal trends and racial disparities in preemptive listing and the distribution of eGFR at listing, using eGFR as reported and after removing the race coefficient for Black candidates. RESULTS: Among 511,686 candidates, preemptive listing increased over time, from 18% in 2001 to 33% in 2019. Non-Black candidates were listed preemptively nearly twice as frequently as Black candidates in 2019 (38% vs. 21% preemptive) and at higher eGFR values (median 15.6 vs. 15.0 ml/min per 1.73 m(2)). After adjusting for candidate characteristics, including listing eGFR without the race coefficient, preemptive Black candidates still had significantly lower odds of preemptive deceased donor (DD) kidney transplantation compared to non-Black candidates (odds ratio 0.87, 95% confidence interval: 0.78−0.98). CONCLUSIONS: Over the last 2 decades, Black patients were consistently less likely to be listed preemptively and were listed at lower eGFR values. Adjusting for listing eGFR with the race coefficient computationally removed did not eliminate the racial disparity, suggesting that additional efforts are needed to achieve equity in preemptive transplantation beyond adopting race-free eGFR equations. Elsevier 2022-12-30 /pmc/articles/PMC10014377/ /pubmed/36938099 http://dx.doi.org/10.1016/j.ekir.2022.12.021 Text en © 2022 Published by Elsevier Inc. on behalf of the International Society of Nephrology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Clinical Research
King, Kristen L.
Yu, Miko
Husain, S. Ali
Patzer, Rachel E.
Sandra, Vanessa
Reese, Peter P.
Schold, Jesse D.
Mohan, Sumit
Contribution of Estimates of Glomerular Filtration to the Extensive Disparities in Preemptive Listing for Kidney Transplant
title Contribution of Estimates of Glomerular Filtration to the Extensive Disparities in Preemptive Listing for Kidney Transplant
title_full Contribution of Estimates of Glomerular Filtration to the Extensive Disparities in Preemptive Listing for Kidney Transplant
title_fullStr Contribution of Estimates of Glomerular Filtration to the Extensive Disparities in Preemptive Listing for Kidney Transplant
title_full_unstemmed Contribution of Estimates of Glomerular Filtration to the Extensive Disparities in Preemptive Listing for Kidney Transplant
title_short Contribution of Estimates of Glomerular Filtration to the Extensive Disparities in Preemptive Listing for Kidney Transplant
title_sort contribution of estimates of glomerular filtration to the extensive disparities in preemptive listing for kidney transplant
topic Clinical Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10014377/
https://www.ncbi.nlm.nih.gov/pubmed/36938099
http://dx.doi.org/10.1016/j.ekir.2022.12.021
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