Literature DB >> 34212501

The benefit to waitlist patients in a national paired kidney exchange program: Exploring characteristics of chain end living donor transplants.

Nathan Osbun1, Alvin G Thomas2,3, Mathew Ronin4, Matthew Cooper5, Stuart M Flechner6, Dorry L Segev3,7,8, Jeffrey L Veale1.   

Abstract

Nondirected kidney donors can initiate living donor chains that end to patients on the waitlist. We compared 749 National Kidney Registry (NKR) waitlist chain end transplants to other transplants from the NKR and the Scientific Registry of Transplant Recipients between February 2008 and September 2020. Compared to other NKR recipients, chain end recipients were more often older (53 vs. 52 years), black (32% vs. 15%), publicly insured (71% vs. 46%), and spent longer on dialysis (3.0 vs. 1.0 years). Similar differences were noted between chain end recipients and non-NKR living donor recipients. Black patients received chain end kidneys at a rate approaching that of deceased donor kidneys (32% vs. 34%). Chain end donors were older (52 vs. 44 years) with slightly lower glomerular filtration rates (93 vs. 98 ml/min/1.73 m2 ) than other NKR donors. Chain end recipients had elevated risk of graft failure and mortality compared to control living donor recipients (both p < .01) but lower graft failure (p = .03) and mortality (p < .001) compared to deceased donor recipients. Sharing nondirected donors among a multicenter network may improve the diversity of waitlist patients who benefit from living donation.
© 2021 The American Society of Transplantation and the American Society of Transplant Surgeons.

Entities:  

Keywords:  clinical research / practice; donors and donation: living; donors and donation: paired exchange; health services and outcomes research; kidney transplantation / nephrology; kidney transplantation: living donor

Mesh:

Year:  2021        PMID: 34212501      PMCID: PMC8720056          DOI: 10.1111/ajt.16749

Source DB:  PubMed          Journal:  Am J Transplant        ISSN: 1600-6135            Impact factor:   9.369


  22 in total

Review 1.  Kidney paired donation: fundamentals, limitations, and expansions.

Authors:  Sommer E Gentry; Robert A Montgomery; Dorry L Segev
Journal:  Am J Kidney Dis       Date:  2011-01       Impact factor: 8.860

2.  Regional and racial disparities in the use of live non-directed kidney donors.

Authors:  D L Segev; R A Montgomery
Journal:  Am J Transplant       Date:  2008-05       Impact factor: 8.086

3.  Early graft losses in paired kidney exchange: Experience from 10 years of the National Kidney Registry.

Authors:  Jennifer Verbesey; Alvin G Thomas; Matt Ronin; Jennifer Beaumont; Amy Waterman; Dorry L Segev; Stuart M Flechner; Matthew Cooper
Journal:  Am J Transplant       Date:  2020-01-29       Impact factor: 8.086

4.  Chain transplantation: initial experience of a large multicenter program.

Authors:  M L Melcher; D B Leeser; H A Gritsch; J Milner; S Kapur; S Busque; J P Roberts; S Katznelson; W Bry; H Yang; A Lu; S Mulgaonkar; G M Danovitch; G Hil; J L Veale
Journal:  Am J Transplant       Date:  2012-07-19       Impact factor: 8.086

5.  Association of Race and Ethnicity With Live Donor Kidney Transplantation in the United States From 1995 to 2014.

Authors:  Tanjala S Purnell; Xun Luo; Lisa A Cooper; Allan B Massie; Lauren M Kucirka; Macey L Henderson; Elisa J Gordon; Deidra C Crews; L Ebony Boulware; Dorry L Segev
Journal:  JAMA       Date:  2018-01-02       Impact factor: 56.272

6.  Kidney paired donation and optimizing the use of live donor organs.

Authors:  Dorry L Segev; Sommer E Gentry; Daniel S Warren; Brigitte Reeb; Robert A Montgomery
Journal:  JAMA       Date:  2005-04-20       Impact factor: 56.272

Review 7.  Clinical outcome of renal transplantation. Factors influencing patient and graft survival.

Authors:  M Cecka
Journal:  Surg Clin North Am       Date:  1998-02       Impact factor: 2.741

8.  Kidney transplant chains amplify benefit of nondirected donors.

Authors:  Marc L Melcher; Jeffrey L Veale; Basit Javaid; David B Leeser; Connie L Davis; Garet Hil; John E Milner
Journal:  JAMA Surg       Date:  2013-02       Impact factor: 14.766

9.  OPTN/SRTR 2018 Annual Data Report: Kidney.

Authors:  A Hart; J M Smith; M A Skeans; S K Gustafson; A R Wilk; S Castro; J Foutz; J L Wainright; J J Snyder; B L Kasiske; A K Israni
Journal:  Am J Transplant       Date:  2020-01       Impact factor: 8.086

Review 10.  Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies.

Authors:  Peter C Austin; Elizabeth A Stuart
Journal:  Stat Med       Date:  2015-08-03       Impact factor: 2.373

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