Literature DB >> 31335766

Kidney After Liver Transplantation Matched-pair Analysis: Are Kidneys Allocated to Appropriate Patients to Maximize Their Survival?

Michael J Eerhart1, José A Reyes1,2, Glen E Leverson3, Juan S Danobeitia1, Casi L Blanton1, Laura J Zitur1, Peter J Chlebeck1, Luis A Fernandez1.   

Abstract

BACKGROUND: Kidney after liver transplantation (KALT) is the best therapeutic option for patients with end-stage renal disease after orthotopic liver transplantation (OLT). New allocation policies prioritize kidneys to patients in renal failure within the first year following OLT. There is little data on how kidney quality, measured by kidney donor profile index (KDPI), impacts KALT survival outcomes.
METHODS: The United Network for Organ Sharing database was queried for adult KALT recipients from 1988 to 2015 and compared to their paired kidney transplant alone (KTA) recipients. Seven hundred forty-five pairs were stratified into 3 KDPI subgroups and compared patient survival, graft survival, and death-censored graft survival among matched-paired recipients.
RESULTS: Overall, KTA recipients had superior patient and graft survival compared with the KALT group. KTA patient survival was superior for all 3 KDPI subgroups analysis. KTA graft survival was superior compared with KALT recipients of KDPI 21%-85% kidneys. Inferior graft half-life was observed in KALT versus KTA recipients with KDPI 21%-85% and >85%.
CONCLUSIONS: From a utilitarian perspective, it is important that kidneys are allocated to recipients that are able to maximize their benefit from the full life of the organ. In KTA recipients, graft quality correlates directly to graft survival. However, in KALT patients receiving the matched-pair kidneys of the KTA recipients, patient mortality, rather than kidney quality, dictates graft survival significantly. As allocation practices continue developing, utilization of expanded criteria kidneys that better match anticipated patient and graft survival should be strongly considered to maximize the benefits of limited resources for the greatest number of patients.

Entities:  

Mesh:

Year:  2020        PMID: 31335766      PMCID: PMC7313709          DOI: 10.1097/TP.0000000000002870

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   5.385


  18 in total

Review 1.  Chronic Kidney Disease and Related Long-Term Complications After Liver Transplantation.

Authors:  Pratima Sharma; Khurram Bari
Journal:  Adv Chronic Kidney Dis       Date:  2015-09       Impact factor: 3.620

2.  Factors leading to the discard of deceased donor kidneys in the United States.

Authors:  Sumit Mohan; Mariana C Chiles; Rachel E Patzer; Stephen O Pastan; S Ali Husain; Dustin J Carpenter; Geoffrey K Dube; R John Crew; Lloyd E Ratner; David J Cohen
Journal:  Kidney Int       Date:  2018-05-05       Impact factor: 10.612

3.  Liver Transplant Recipients With End-Stage Renal Disease Largely Benefit From Kidney Transplantation.

Authors:  T Yunhua; Z Qiang; J Lipeng; H Shanzhou; Z Zebin; J Fei; Z Zhiheng; W Linhe; J Weiqiang; W Dongping; G Zhiyong; H Xiaoshun
Journal:  Transplant Proc       Date:  2018 Jan - Feb       Impact factor: 1.066

4.  The kidney allocation system claims equity: It is time to review utility and fairness.

Authors:  Goran B Klintmalm; Bruce Kaplan
Journal:  Am J Transplant       Date:  2017-09-15       Impact factor: 8.086

5.  A paired survival analysis comparing hemodialysis and kidney transplantation from deceased elderly donors older than 65 years.

Authors:  Josep Lloveras; Emma Arcos; Jordi Comas; Marta Crespo; Julio Pascual
Journal:  Transplantation       Date:  2015-05       Impact factor: 4.939

6.  Prognostic importance of the cause of renal failure in patients with cirrhosis.

Authors:  Marta Martín-Llahí; Mónica Guevara; Aldo Torre; Claudia Fagundes; Tea Restuccia; Rosa Gilabert; Elsa Solá; Gustavo Pereira; Marcella Marinelli; Marco Pavesi; Javier Fernández; Juan Rodés; Vicente Arroyo; Pere Ginès
Journal:  Gastroenterology       Date:  2010-08-01       Impact factor: 22.682

7.  First-Year Waitlist Hospitalization and Subsequent Waitlist and Transplant Outcome.

Authors:  R J Lynch; R Zhang; R E Patzer; C P Larsen; A B Adams
Journal:  Am J Transplant       Date:  2016-10-24       Impact factor: 8.086

8.  Predicting end-stage renal disease after liver transplant.

Authors:  A K Israni; H Xiong; J Liu; N Salkowski; J F Trotter; J J Snyder; B L Kasiske
Journal:  Am J Transplant       Date:  2013-05-13       Impact factor: 8.086

Review 9.  The challenge of doing what is right in renal transplantation: balancing equity and utility.

Authors:  Aisling E Courtney; Alexander P Maxwell
Journal:  Nephron Clin Pract       Date:  2008-12-05

10.  Factors associated with waiting time on the liver transplant list: an analysis of the United Network for Organ Sharing (UNOS) database.

Authors:  Judy A Trieu; Mohammad Bilal; Bashar Hmoud
Journal:  Ann Gastroenterol       Date:  2017-11-27
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.