The effect of race coefficients on preemptive listing for kidney transplantation.

CKD-EPI equation GFR MDRD ethnicity kidney transplantation

Journal

Clinical kidney journal
ISSN: 2048-8505
Titre abrégé: Clin Kidney J
Pays: England
ID NLM: 101579321

Informations de publication

Date de publication:
May 2022
Historique:
received: 27 10 2021
entrez: 2 5 2022
pubmed: 3 5 2022
medline: 3 5 2022
Statut: epublish

Résumé

Race coefficients of estimated glomerular filtration rate (eGFR) formulas may be partially responsible for racial inequality in preemptive listing for kidney transplantation. 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. 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 Removing race coefficients in GFR estimation formulas may result in a more equitable distribution of Black candidates listed earlier on a preemptive basis.

Sections du résumé

Background UNASSIGNED
Race coefficients of estimated glomerular filtration rate (eGFR) formulas may be partially responsible for racial inequality in preemptive listing for kidney transplantation.
Methods UNASSIGNED
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 UNASSIGNED
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
Conclusions UNASSIGNED
Removing race coefficients in GFR estimation formulas may result in a more equitable distribution of Black candidates listed earlier on a preemptive basis.

Identifiants

pubmed: 35498880
doi: 10.1093/ckj/sfab287
pii: sfab287
pmc: PMC9050544
doi:

Types de publication

Journal Article

Langues

eng

Pagination

942-950

Subventions

Organisme : NHLBI NIH HHS
ID : K23 HL145114
Pays : United States

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press on behalf of the ERA.

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Auteurs

Mersema Abate (M)

Department of Medicine, Norwell Health, Manhasset, NY, USA.

Nicholas Jandovitz (N)

Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Hempstead, NY, USA.

Jamie S Hirsch (JS)

Department of Medicine, Norwell Health, Manhasset, NY, USA.

Nadine Breslin (N)

North Shore University Hospital, Department of Pharmacy, Northwell Health, Manhasset, NY, USA.

Lawrence Lau (L)

Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Hempstead, NY, USA.

Ahmed E Fahmy (AE)

Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Hempstead, NY, USA.

Kenar D Jhaveri (KD)

Department of Medicine, Norwell Health, Manhasset, NY, USA.

Safiya Richardson (S)

System-wide Division of Surgical Innovation, Northwell Health, New Hyde Park, NY, USA.

Yaser Alsalmay (Y)

Department of Surgery, University of Chicago Medicine, Chicago, IL, USA.

Anthony Baez (A)

Department of Surgery, Northwell Health, Manhasset, NY, USA.

Akash Mishra (A)

Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA.

Siavash Bolourani (S)

Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Hempstead, NY, USA.

Santiago J Miyara (SJ)

Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA.

Aaron Winnick (A)

Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Hempstead, NY, USA.

Gayatri Nair (G)

Department of Medicine, Norwell Health, Manhasset, NY, USA.

Madhu C Bhaskaran (MC)

Department of Medicine, Norwell Health, Manhasset, NY, USA.

Elliot Grodstein (E)

Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Hempstead, NY, USA.

Adam M Kressel (AM)

Department of Surgery, Northwell Health, Manhasset, NY, USA.

Lewis W Teperman (LW)

Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Hempstead, NY, USA.

Ernesto P Molmenti (EP)

Department of Medicine, Norwell Health, Manhasset, NY, USA.

Vinay Nair (V)

Department of Medicine, Norwell Health, Manhasset, NY, USA.

Classifications MeSH