Identifying when racial and ethnic disparities arise along the continuum of transplant care: a national registry study.

Disparities Health equity Kidney transplantation Underrepresented minorities

Journal

Lancet regional health. Americas
ISSN: 2667-193X
Titre abrégé: Lancet Reg Health Am
Pays: England
ID NLM: 9918232503006676

Informations de publication

Date de publication:
Oct 2024
Historique:
received: 12 06 2024
revised: 10 09 2024
accepted: 13 09 2024
medline: 21 10 2024
pubmed: 21 10 2024
entrez: 21 10 2024
Statut: epublish

Résumé

Fewer minoritized patients with end-stage kidney disease (ESKD) receive kidney transplantation (KT); efforts to mitigate disparities have thus far failed. Pinpointing the specific stage(s) within the transplant care continuum (being informed of KT options, joining the waiting list, to receiving KT) where disparities emerge among each minoritized population is pivotal for achieving equity. We therefore quantified racial and ethnic disparities across the KT care continuum. We conducted a retrospective cohort study (2015-2020), with follow-up through 12/10/2021. Patients with incident dialysis were identified using the US national registry data. The exposure was race and ethnicity (Asian, Black, Hispanic, and White). We used adjusted modified Poisson regression to quantify the adjusted prevalence ratio (aPR) of being informed of KT, and cause-specific hazards models to calculate adjusted hazard ratios (aHR) of listing, and transplantation after listing. Among 637,951 adults initiating dialysis, the mean age (SD) was 63.8 (14.6), 41.8% were female, 5.4% were Asian, 26.3% were Black, 16.6% were Hispanic, and 51.7% were White (median follow-up in years [IQR]:1.92 [0.97-3.39]). Black and Hispanic patients were modestly more likely to be informed of KT (Black: aPR = 1.02, 95% confidence interval [CI]:1.01-1.02; Hispanic: aPR = 1.03, 95% CI: 1.02-1.03) relative to White patients. Asian patients were more likely to be listed (aHR = 1.18, 95% CI: 1.15-1.21) but less likely to receive KT (aHR = 0.56, 95% CI: 0.54-0.58). Both Black and Hispanic patients were less likely to be listed (Black: aHR = 0.87, 95% CI: 0.85-0.88; Hispanic: aHR = 0.85, 95% CI: 0.85-0.88) and receive KT (Black: aHR = 0.61, 95% CI: 0.60-0.63; Hispanic: aHR = 0.64, 95% CI: 0.63-0.66). Improved characterization of the barriers in KT access specific to each racial and ethnic group, and the interventions to address these distinct challenges throughout the KT care continuum are needed; our findings identify specific stages most in need of mitigation. National Institutes of Health.

Sections du résumé

Background UNASSIGNED
Fewer minoritized patients with end-stage kidney disease (ESKD) receive kidney transplantation (KT); efforts to mitigate disparities have thus far failed. Pinpointing the specific stage(s) within the transplant care continuum (being informed of KT options, joining the waiting list, to receiving KT) where disparities emerge among each minoritized population is pivotal for achieving equity. We therefore quantified racial and ethnic disparities across the KT care continuum.
Methods UNASSIGNED
We conducted a retrospective cohort study (2015-2020), with follow-up through 12/10/2021. Patients with incident dialysis were identified using the US national registry data. The exposure was race and ethnicity (Asian, Black, Hispanic, and White). We used adjusted modified Poisson regression to quantify the adjusted prevalence ratio (aPR) of being informed of KT, and cause-specific hazards models to calculate adjusted hazard ratios (aHR) of listing, and transplantation after listing.
Findings UNASSIGNED
Among 637,951 adults initiating dialysis, the mean age (SD) was 63.8 (14.6), 41.8% were female, 5.4% were Asian, 26.3% were Black, 16.6% were Hispanic, and 51.7% were White (median follow-up in years [IQR]:1.92 [0.97-3.39]). Black and Hispanic patients were modestly more likely to be informed of KT (Black: aPR = 1.02, 95% confidence interval [CI]:1.01-1.02; Hispanic: aPR = 1.03, 95% CI: 1.02-1.03) relative to White patients. Asian patients were more likely to be listed (aHR = 1.18, 95% CI: 1.15-1.21) but less likely to receive KT (aHR = 0.56, 95% CI: 0.54-0.58). Both Black and Hispanic patients were less likely to be listed (Black: aHR = 0.87, 95% CI: 0.85-0.88; Hispanic: aHR = 0.85, 95% CI: 0.85-0.88) and receive KT (Black: aHR = 0.61, 95% CI: 0.60-0.63; Hispanic: aHR = 0.64, 95% CI: 0.63-0.66).
Interpretation UNASSIGNED
Improved characterization of the barriers in KT access specific to each racial and ethnic group, and the interventions to address these distinct challenges throughout the KT care continuum are needed; our findings identify specific stages most in need of mitigation.
Funding UNASSIGNED
National Institutes of Health.

Identifiants

pubmed: 39430573
doi: 10.1016/j.lana.2024.100895
pii: S2667-193X(24)00222-9
pmc: PMC11489072
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100895

Informations de copyright

© 2024 The Author(s).

Déclaration de conflit d'intérêts

DL Segev receives consulting fees from AstraZeneca, CareDx, Moderna Therapeutics, Novavax, Regeneron, and Springer Publishing. DL Segev also receives honoraria from AstraZeneca, CareDx, Houston Methodist, Northwell Health, Optum Health Education, Sanofi, and WebMd. DL Segev also receives payment from Springer. BJ Orandi is the associate editor for Clinical Transplanation and Obesity. MN Clark-Cutaia participates in the THRIVE advisory board, and is the chapter president of Sigma Theta Tau Xi (Nursing Honor Society). The remaining authors have no competing interests to declare.

Auteurs

Maya N Clark-Cutaia (MN)

Hunter-Bellevue School of Nursing, Hunter College, City University of New York, New York, NY, USA.
Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA.

Gayathri Menon (G)

Department of Surgery, New York University Grossman School of Medicine, New York, NY, USA.

Yiting Li (Y)

Department of Surgery, New York University Grossman School of Medicine, New York, NY, USA.

Garyn T Metoyer (GT)

Department of Surgery, New York University Grossman School of Medicine, New York, NY, USA.

Mary Grace Bowring (MG)

Division of Transplantation, Department of Surgery, Johns Hopkins School of Medicine, Baltimore, MD, USA.

Byoungjun Kim (B)

Department of Surgery, New York University Grossman School of Medicine, New York, NY, USA.
Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA.

Babak J Orandi (BJ)

Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA.
Department of Surgery, New York University Grossman School of Medicine, New York, NY, USA.

Stephen P Wall (SP)

Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA.
Ronald O. Perelman Department of Emergency Medicine, New York University Grossman School of Medicine, New York, NY, USA.

Melissa D Hladek (MD)

Johns Hopkins University School of Nursing, Baltimore, MD, USA.

Tanjala S Purnell (TS)

Division of Transplantation, Department of Surgery, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Department of Health Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Johns Hopkins Center for Health Equity, Johns Hopkins University, Maryland Public Health, Baltimore, MD, USA.

Dorry L Segev (DL)

Department of Surgery, New York University Grossman School of Medicine, New York, NY, USA.
Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA.

Mara A McAdams-DeMarco (MA)

Department of Surgery, New York University Grossman School of Medicine, New York, NY, USA.
Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA.

Classifications MeSH