Literature DB >> 31199941

Allocation of liver grafts worldwide - Is there a best system?

Christoph Tschuor1, Alberto Ferrarese2, Christoph Kuemmerli1, Philipp Dutkowski1, Patrizia Burra3, Pierre-Alain Clavien4.   

Abstract

BACKGROUND & AIMS: An optimal allocation system for scarce resources should simultaneously ensure maximal utility, but also equity. The most frequent principles for allocation policies in liver transplantation are therefore criteria that rely on pre-transplant survival (sickest first policy), post-transplant survival (utility), or on their combination (benefit). However, large differences exist between centers and countries for ethical and legislative reasons. The aim of this study was to report the current worldwide practice of liver graft allocation and discuss respective advantages and disadvantages.
METHODS: Countries around the world that perform 95 or more deceased donor liver transplantations per year were analyzed for donation and allocation policies, as well as recipient characteristics.
RESULTS: Most countries use the model for end-stage liver disease (MELD) score, or variations of it, for organ allocation, while some countries opt for center-based allocation systems based on their specific requirements, and some countries combine both a MELD and center-based approach. Both the MELD and center-specific allocation systems have inherent limitations. For example, most countries or allocation systems address the limitations of the MELD system by adding extra points to recipient's laboratory scores based on clinical information. It is also clear from this study that cancer, as an indication for liver transplantation, requires special attention.
CONCLUSION: The sickest first policy is the most reasonable basis for the allocation of liver grafts. While MELD is currently the standard for this model, many adjustments were implemented in most countries. A future globally applicable strategy should combine donor and recipient factors, predicting probability of death on the waiting list, post-transplant survival and morbidity, and perhaps costs. LAY
SUMMARY: An optimal allocation system for scarce resources should simultaneously ensure maximal utility, but also equity. While the model for end-stage liver disease is currently the standard for this model, many adjustments were implemented in most countries. A future globally applicable strategy should combine donor and recipient factors predicting probability of death on the waiting list, post-transplant survival and morbidity, and perhaps costs.
Copyright © 2019 European Association for the Study of the Liver. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Allocation; ELTR; Liver transplantation; MELD; Organ donation; UNOS

Year:  2019        PMID: 31199941     DOI: 10.1016/j.jhep.2019.05.025

Source DB:  PubMed          Journal:  J Hepatol        ISSN: 0168-8278            Impact factor:   25.083


  15 in total

1.  Trends in liver transplantation for autoimmune liver diseases: a Canadian study.

Authors:  Carla F Murillo Perez; Tommy Ivanics; Marco P A W Claasen; Peter Yoon; David Wallace; Nazia Selzner; Gideon M Hirschfield; Bettina E Hansen; Gonzalo Sapisochin
Journal:  Can J Surg       Date:  2022-10-12       Impact factor: 2.840

2.  Sex Disparities in Outcome of Patients with Alcohol-Related Liver Cirrhosis within the Eurotransplant Network-A Competing Risk Analysis.

Authors:  Stephan Listabarth; Daniel König; Gabriela Berlakovich; Petra Munda; Peter Ferenci; Dagmar Kollmann; Georg Gyöeri; Thomas Waldhoer; Magdalena Groemer; Arjan van Enckevort; Benjamin Vyssoki
Journal:  J Clin Med       Date:  2022-06-24       Impact factor: 4.964

Review 3.  Liver transplantation in elderly patients: what do we know at the beginning of 2020?

Authors:  Shimon Dolnikov; René Adam; Daniel Cherqui; Marc Antoine Allard
Journal:  Surg Today       Date:  2020-04-11       Impact factor: 2.549

4.  Hyperoxia in portal vein causes enhanced vasoconstriction in arterial vascular bed.

Authors:  Dilmurodjon Eshmuminov; Dustin Becker; Max L Hefti; Matteo Mueller; Catherine Hagedorn; Philipp Dutkowski; Philipp Rudolf von Rohr; Maximilian Halbe; Stephan Segerer; Mark W Tibbitt; Lucia Bautista Borrego; Martin J Schuler; Pierre-Alain Clavien
Journal:  Sci Rep       Date:  2020-12-01       Impact factor: 4.379

Review 5.  Invasive fungal infection before and after liver transplantation.

Authors:  Alberto Ferrarese; Annamaria Cattelan; Umberto Cillo; Enrico Gringeri; Francesco Paolo Russo; Giacomo Germani; Martina Gambato; Patrizia Burra; Marco Senzolo
Journal:  World J Gastroenterol       Date:  2020-12-21       Impact factor: 5.742

Review 6.  The Landscape Of Alpha Fetoprotein In Hepatocellular Carcinoma: Where Are We?

Authors:  Xin Hu; Ronggao Chen; Qiang Wei; Xiao Xu
Journal:  Int J Biol Sci       Date:  2022-01-01       Impact factor: 6.580

7.  Balancing Outcome vs. Urgency in Modern Liver Transplantation.

Authors:  Peter T Dancs; Fuat H Saner; Tamas Benkö; Ernesto P Molmenti; Matthias Büchter; Andreas Paul; Dieter P Hoyer
Journal:  Front Surg       Date:  2022-03-04

8.  Bioengineering Liver Transplantation.

Authors:  Monique M A Verstegen; Bart Spee; Luc J W van der Laan
Journal:  Bioengineering (Basel)       Date:  2019-10-16

9.  The Model for End-Stage Liver Disease Score and the Follow-Up Period Can Cause the Shift of Circulating Lymphocyte Subsets in Liver Transplant Recipients.

Authors:  Fei Pan; Shuang Cao; Xian-Liang Li; Ya-Nan Jia; Ruo-Lin Wang; Qiang He; Ji-Qiao Zhu
Journal:  Front Med (Lausanne)       Date:  2022-01-03

10.  Building a Utility-based Liver Allocation Model in Preparation for Continuous Distribution.

Authors:  Catherine E Kling; James D Perkins; Scott W Biggins; Anji E Wall; Jorge D Reyes
Journal:  Transplant Direct       Date:  2022-01-13
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