Impact of delayed listing after initiating kidney transplant evaluation on transplant outcomes

Author:

Ly Lisa1,Zhu Danting2,Schaubel Douglas E.3,Woodside Kenneth J.4ORCID,Sung Randall S.5

Affiliation:

1. Department of Urology Temple University Philadelphia Pennsylvania USA

2. Department of Biostatistics University of Michigan Ann Arbor Michigan USA

3. Department of Biostatistics Epidemiology and Bioinformatics University of Pennsylvania Philadelphia Pennsylvania USA

4. Academia Invisus LLC Ann Arbor Michigan USA

5. Department of Surgery University of Michigan Ann Arbor Michigan USA

Abstract

AbstractObjectiveLonger end‐stage renal disease time has been associated with inferior kidney transplant outcomes. However, the contribution of transplant evaluation is uncertain. We explored the relationship between time from evaluation to listing (ELT) and transplant outcomes.MethodsThis retrospective study included 2535 adult kidney transplants from 2000 to 2015. Kaplan–Meier survival curves, log‐rank tests, and Cox regression models were used to compare transplant outcomes.ResultsPatient survival for both deceased donor (DD) recipients (p < .001) and living donor (LD) recipients (p < .0001) was significantly higher when ELT was less than 3 months. The risks of ELT appeared to be mediated by other risks in DD recipients, as adjusted models showed no associated risk of graft loss or death in DD recipients. For LD recipients, ELT remained a risk factor for patient death after covariate adjustment. Each month of ELT was associated with an increased risk of death (HR = 1.021, p = .04) but not graft loss in LD recipients in adjusted models.ConclusionsKidney transplant recipients with longer ELT times had higher rates of death after transplant, and ELT was independently associated with an increased risk of death for LD recipients. Investigations on the impact of pretransplant evaluation on post‐transplant outcomes can inform transplant policy and practice.

Funder

National Institutes of Health

Publisher

Wiley

Reference19 articles.

1. United States Renal Data System.Chapter 1: Incidence prevalence patient characteristics and treatment modalities. USRDS Annual Data Report.2017.https://www.usrds.org/2017/view/v2_01.aspx

2. United Network for Organ Sharing.Waiting list candidates by organ type.2018.https://unos.org/data/transplant‐trends/waiting‐list‐candidates‐by‐organ‐type/

3. Patient survival after renal transplantation: I. The impact of dialysis pre-transplant

4. Effect of waiting time on renal transplant outcome

5. Waiting time on dialysis as the strongest modifiable risk factor for renal transplant outcomes

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