Literature DB >> 19177441

Should liver transplantation in patients with model for end-stage liver disease scores <or= 14 be avoided? A decision analysis approach.

James D Perkins1, Jeffrey B Halldorson, Ramasamy Bakthavatsalam, Oren K Fix, Robert L Carithers, Jorge D Reyes.   

Abstract

Studies have shown that liver transplantation offers no survival benefits to patients with Model for End-Stage Liver Disease (MELD) scores <or= 14 in comparison with remaining on the waitlist. The consensus of a 2003 transplant community national conference was that a minimum MELD score should be required for placement on the liver waitlist, but no minimum listing national policy was enacted at that time. We developed a Markov microsimulation model to compare results under the present US liver allocation policy with outcomes under a "Rule 14" policy of barring patients with a MELD score of <or=14 from the waitlist or transplantation. For probabilities in the microsimulation model, we used data on all adult patients (>or=18 years) listed for or undergoing primary liver transplantation in the United States for chronic liver disease from 1/1/2003 through 12/31/2007 with follow-up until 2/1/2008. The "Rule 14" policy gave a 3% improvement in overall patient survival over the present system at 1, 2, 3, and 4 years and predicted a 13% decrease in overall waitlist time for patients with MELD scores of 15 to 40. Patients with the greatest benefit from a "Rule 14" policy were those with MELD scores of 6 to 10, for whom a 17% survival advantage was predicted from waiting on the list versus undergoing transplantation. Our analysis supports changing the national liver allocation policy to not allow liver transplantation for patients with MELD <or= 14. (c) 2009 AASLD.

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Year:  2009        PMID: 19177441     DOI: 10.1002/lt.21703

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


  7 in total

1.  Survival tree and MELD to predict long term survival in liver transplantation waiting list.

Authors:  Emília Matos do Nascimento; Basilio de Bragança Pereira; Samanta Teixeira Basto; Joaquim Ribeiro Filho
Journal:  J Med Syst       Date:  2010-03-03       Impact factor: 4.460

2.  Rescue of lethal hepatic failure by hepatized lymph nodes in mice.

Authors:  Toshitaka Hoppo; Junji Komori; Rohan Manohar; Donna Beer Stolz; Eric Lagasse
Journal:  Gastroenterology       Date:  2010-11-09       Impact factor: 22.682

Review 3.  Prioritization for liver transplantation.

Authors:  Evangelos Cholongitas; Giacomo Germani; Andrew K Burroughs
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2010-11-02       Impact factor: 46.802

4.  D-MELD risk capping improves post-transplant and overall mortality under markov microsimulation.

Authors:  Jeffrey B Halldorson; Robert L Carithers; Renuka Bhattacharya; Ramasamy Bakthavatsalam; Iris W Liou; Andre A Dick; Jorge D Reyes; James D Perkins
Journal:  World J Transplant       Date:  2014-09-24

5.  Model for end-stage liver disease-based allocation system for liver transplantation in Argentina: does it work outside the United States?

Authors:  L McCormack; A Gadano; J Lendoire; O Imventarza; O Andriani; O Gil; L Toselli; L Bisigniano; E de Santibañes
Journal:  HPB (Oxford)       Date:  2010-09       Impact factor: 3.647

Review 6.  Decision modelling for economic evaluation of liver transplantation.

Authors:  Zhi Qu; Christian Krauth; Volker Eric Amelung; Alexander Kaltenborn; Jill Gwiasda; Lena Harries; Jan Beneke; Harald Schrem; Sebastian Liersch
Journal:  World J Hepatol       Date:  2018-11-27

7.  Development of Ectopic Livers by Hepatocyte Transplantation Into Swine Lymph Nodes.

Authors:  Paulo Fontes; Junji Komori; Roberto Lopez; Wallis Marsh; Eric Lagasse
Journal:  Liver Transpl       Date:  2020-10-01       Impact factor: 5.799

  7 in total

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