Literature DB >> 25044621

Reframing the impact of combined heart-liver allocation on liver transplant wait-list candidates.

David S Goldberg1, Peter P Reese, Sandra Amaral, Peter L Abt.   

Abstract

Simultaneous heart-liver (H-L) transplantation, although rare, has become more common in the United States. When the primary organ is a heart or liver, patients receiving an offer for the primary organ automatically receive the second, nonprimary organ from that donor. This policy raises issues of equity, such as whether liver transplantation alone candidates bypassed by H-L recipients are disadvantaged. No prior published analyses have addressed this issue, and few methods have been developed as means of measuring the impact of such allocation policies. We analyzed Organ Procurement and Transplantation Network match run data from 2007 to 2013 to determine whether this combined organ allocation policy disadvantages bypassed liver transplant wait-list candidates in a clinically meaningful way. Among 65 H-L recipients since May 2007, 42 had substantially higher priority for the heart versus the liver, and these 42 bypassed 268 liver-alone candidates ranked 1 to 10 on these match runs. Bypassed patients had a lower risk of wait-list removal for death or clinical deterioration in comparison with controls selected by the match Model for End-Stage Liver Disease (MELD) score [hazard ratio (HR) = 0.56, 95% confidence interval (CI) = 0.40-0.79] and a risk similar to that of controls selected by the laboratory MELD score (HR = 0.91, 95% CI = 0.63-1.33) or on match runs of similar graft quality (HR = 0.97, 95% CI = 0.73-1.37). The waiting time from bypass to subsequent transplantation was significantly longer among bypassed candidates versus controls on match runs of similar graft quality [median: 87 days (interquartile range = 27-192 days) versus 24 days (interquartile range = 5-79 days), P < 0.001]. Although transplantation was delayed, liver transplant wait-list candidates bypassed by H-L recipients did not have excess mortality in comparison with 3 sets of matched controls. These analytic methods serve as a starting point for considering other potential approaches to evaluating the impact of multiorgan transplant allocation policies.
© 2014 American Association for the Study of Liver Diseases.

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Year:  2014        PMID: 25044621      PMCID: PMC4213283          DOI: 10.1002/lt.23957

Source DB:  PubMed          Journal:  Liver Transpl        ISSN: 1527-6465            Impact factor:   5.799


  19 in total

1.  Impact of MELD-based allocation on end-stage renal disease after liver transplantation.

Authors:  P Sharma; D E Schaubel; M K Guidinger; N P Goodrich; A O Ojo; R M Merion
Journal:  Am J Transplant       Date:  2011-08-22       Impact factor: 8.086

2.  Proceedings of Consensus Conference on Simultaneous Liver Kidney Transplantation (SLK).

Authors:  J D Eason; T A Gonwa; C L Davis; R S Sung; D Gerber; R D Bloom
Journal:  Am J Transplant       Date:  2008-09-19       Impact factor: 8.086

3.  Hepatocellular carcinoma patients are advantaged in the current liver transplant allocation system.

Authors:  K Washburn; E Edwards; A Harper; R Freeman
Journal:  Am J Transplant       Date:  2010-05-10       Impact factor: 8.086

4.  Geographic inequity in access to livers for transplantation.

Authors:  Heidi Yeh; Elizabeth Smoot; David A Schoenfeld; James F Markmann
Journal:  Transplantation       Date:  2011-02-27       Impact factor: 4.939

5.  Liver transplantation in the United States, 1999-2008.

Authors:  P J Thuluvath; M K Guidinger; J J Fung; L B Johnson; S C Rayhill; S J Pelletier
Journal:  Am J Transplant       Date:  2010-04       Impact factor: 8.086

6.  Deaths on the liver transplant waiting list: an analysis of competing risks.

Authors:  W Ray Kim; Terry M Therneau; Joanne T Benson; Walter K Kremers; Charles B Rosen; Gregory J Gores; E Rolland Dickson
Journal:  Hepatology       Date:  2006-02       Impact factor: 17.425

7.  Characteristics associated with liver graft failure: the concept of a donor risk index.

Authors:  S Feng; N P Goodrich; J L Bragg-Gresham; D M Dykstra; J D Punch; M A DebRoy; S M Greenstein; R M Merion
Journal:  Am J Transplant       Date:  2006-04       Impact factor: 8.086

8.  Analysis of longitudinal data to evaluate a policy change.

Authors:  Benjamin French; Patrick J Heagerty
Journal:  Stat Med       Date:  2008-10-30       Impact factor: 2.373

9.  Disparities in liver transplantation before and after introduction of the MELD score.

Authors:  Cynthia A Moylan; Carla W Brady; Jeffrey L Johnson; Alastair D Smith; Janet E Tuttle-Newhall; Andrew J Muir
Journal:  JAMA       Date:  2008-11-26       Impact factor: 56.272

10.  Combined lung and liver transplantation: analysis of a single-center experience.

Authors:  Stephanie G Yi; Sherilyn Gordon Burroughs; Matthias Loebe; Scott Scheinin; Harish Seethamraju; Soma Jyothula; Howard Monsour; Robert McFadden; Hemangshu Podder; Ashish Saharia; Emad H Asham; Maha Boktour; A Osama Gaber; R Mark Ghobrial
Journal:  Liver Transpl       Date:  2013-11-30       Impact factor: 5.799

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  4 in total

1.  Liver transplant center variability in accepting organ offers and its impact on patient survival.

Authors:  David S Goldberg; Benjamin French; James D Lewis; Frank I Scott; Ronac Mamtani; Richard Gilroy; Scott D Halpern; Peter L Abt
Journal:  J Hepatol       Date:  2015-11-25       Impact factor: 25.083

2.  Single-Center Long-Term Analysis of Combined Liver-Lung Transplant Outcomes.

Authors:  Kyle William Freischlag; Julia Messina; Brian Ezekian; Michael S Mulvihill; Andrew Barbas; Carl Berg; Debra Sudan; John Reynolds; Matthew Hartwig; Stuart Knechtle
Journal:  Transplant Direct       Date:  2018-04-26

3.  Simultaneous Versus Sequential Heart-liver Transplantation: Ideal Strategies for Organ Allocation.

Authors:  A Justin Rucker; Kevin L Anderson; Michael S Mulvihill; Babatunde A Yerokun; Andrew S Barbas; Matthew G Hartwig
Journal:  Transplant Direct       Date:  2018-12-19

4.  Tryptophan Metabolism via the Kynurenine Pathway: Implications for Graft Optimization during Machine Perfusion.

Authors:  Anna Zhang; Cailah Carroll; Siavash Raigani; Negin Karimian; Viola Huang; Sonal Nagpal; Irene Beijert; Robert J Porte; Martin Yarmush; Korkut Uygun; Heidi Yeh
Journal:  J Clin Med       Date:  2020-06-15       Impact factor: 4.964

  4 in total

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