Literature DB >> 31146972

An instrumental variable approach confirms that the duration of pretransplant dialysis has a negative impact on the survival of kidney transplant recipients and quantifies the risk.

Rui Fu1, S Joseph Kim2, Claire de Oliveira3, Peter C Coyte4.   

Abstract

Dialysis prior to kidney transplantation may have a detrimental effect on post-transplant outcomes. However, prior studies have not fully characterized the nature of this relationship and may have been subject to residual confounding. Here we investigated the association between pre-transplant dialysis duration and two post-transplant outcomes: all-cause death and death with functioning graft. This was a retrospective, population-based, cohort study in all deceased donor kidney transplants performed in Ontario, Canada, from April 1, 2002 to March 31, 2013. Patient blood type was chosen as an instrumental variable and a two-stage modeling procedure that included a threshold-adjusted Cox proportional hazards model was used to assess the association between dialysis time and the two post-transplant outcomes. Among 4,440 transplant recipients, the relative risk of all-cause death associated with each dialysis year prior to three years was 42% and fell to 5% per additional dialysis year thereafter. For death with functioning graft, each dialysis year before and after 2.8 years increased the relative risk by 31% and 4%, respectively. Peak panel reactive antibody of more than 50% was independently associated with an elevated risk of death with functioning graft but not with the risk of all-cause death. Thus, our findings highlight the urgency to develop strategies to ensure timely transplant listing and to shorten the total dialysis time before transplantation, with the goal of enhancing kidney transplant outcomes.
Copyright © 2019 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  death with functioning graft; dialysis; kidney transplantation

Year:  2019        PMID: 31146972     DOI: 10.1016/j.kint.2019.03.007

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  6 in total

1.  Propensity Score and Instrumental Variable Techniques in Observational Transplantation Studies: An Overview and Worked Example Relating to Pre-Transplant Cardiac Screening.

Authors:  Ailish Nimmo; Nicholas Latimer; Gabriel C Oniscu; Rommel Ravanan; Dominic M Taylor; James Fotheringham
Journal:  Transpl Int       Date:  2022-06-27       Impact factor: 3.842

2.  Unpaid Caregiving and Labor Force Participation among Chinese Middle-Aged Adults.

Authors:  Huamin Chai; Rui Fu; Peter C Coyte
Journal:  Int J Environ Res Public Health       Date:  2021-01-13       Impact factor: 3.390

Review 3.  Peritoneal Dialysis for Potential Kidney Transplant Recipients: Pride or Prejudice?

Authors:  Luca Nardelli; Antonio Scalamogna; Piergiorgio Messa; Maurizio Gallieni; Roberto Cacciola; Federica Tripodi; Giuseppe Castellano; Evaldo Favi
Journal:  Medicina (Kaunas)       Date:  2022-02-01       Impact factor: 2.430

4.  Long-term outcomes of kidney transplantation from expanded criteria donors with Chinese novel donation policy: donation after citizens' death.

Authors:  Xiao Fang; Yan Wang; Rong Liu; Changyan Zhu; Chenguang Wu; Fuqiang He; Shunliang Yang; Dong Wang
Journal:  BMC Nephrol       Date:  2022-10-03       Impact factor: 2.585

5.  Transplant or dialysis: What's the better choice for RCC-induced ESRD patients? A 20-year analysis of OPTN/UNOS data.

Authors:  Xiaowei Hao; Wenhui Lai; Xinze Xia; Junnan Xu; Yangyang Wu; Chao Lv; Kaikai Lv; Shuai Huang; Zhenjun Luo; Qingyang Meng; Qing Yuan; Jun Dong
Journal:  Front Oncol       Date:  2022-09-29       Impact factor: 5.738

6.  Kidney transplant program waitlisting rate as a metric to assess transplant access.

Authors:  Sudeshna Paul; Taylor Melanson; Sumit Mohan; Katherine Ross-Driscoll; Laura McPherson; Raymond Lynch; Denise Lo; Stephen O Pastan; Rachel E Patzer
Journal:  Am J Transplant       Date:  2020-09-15       Impact factor: 8.086

  6 in total

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