Literature DB >> 22299756

Comparison of seven liver allocation models with respect to lives saved among patients on the liver transplant waiting list.

Laurence S Magder1, Arie Regev, Ayse L Mindikoglu.   

Abstract

The patients with end-stage liver disease (ESLD) on the liver transplant waiting list are prioritized for transplant based on the model for end-stage liver disease (MELD) score. We developed and used an innovative approach to compare MELD to six proposed alternatives with respect to waiting list mortality. Our analysis was based on United Network for Organ Sharing data of patients with ESLD on the waiting list between January 2006 and June 2009. We compared six allocation models to MELD. Two models were based on reweighting the variables used by MELD: an "updated" MELD, and ReFit MELD. Four models also included serum sodium: MESO, MeldNa, UKELD, and ReFit MELDNa. We estimated that UKELD and the updated MELD would result in significantly fewer lives saved. There were no significant differences between the other models. Our new approach can supplement standard methods to provide insight into the relative performance of liver allocation models in reducing waiting list mortality. Our analysis suggests that UKELD and the updated MELD score would not be optimal for reducing waiting list mortality in the United States.
© 2012 The Authors Transplant International © 2012 European Society for Organ Transplantation.

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Year:  2012        PMID: 22299756      PMCID: PMC3305837          DOI: 10.1111/j.1432-2277.2012.01431.x

Source DB:  PubMed          Journal:  Transpl Int        ISSN: 0934-0874            Impact factor:   3.782


  20 in total

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Authors: 
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3.  Risk factors for liver transplantation waiting list mortality.

Authors:  Michael A Fink; S Roger Berry; Paul J Gow; Peter W Angus; Bao-Zhong Wang; Vijayaragavan Muralidharan; Christopher Christophi; Robert M Jones
Journal:  J Gastroenterol Hepatol       Date:  2007-01       Impact factor: 4.029

4.  The Monte Carlo method.

Authors:  N METROPOLIS; S ULAM
Journal:  J Am Stat Assoc       Date:  1949-09       Impact factor: 5.033

5.  Multicentric evaluation of model for end-stage liver disease-based allocation and survival after liver transplantation in Germany--limitations of the 'sickest first'-concept.

Authors:  Tobias J Weismüller; Panagiotis Fikatas; Jan Schmidt; Ana P Barreiros; Gerd Otto; Susanne Beckebaum; Andreas Paul; Markus N Scherer; Hartmut H Schmidt; Hans J Schlitt; Peter Neuhaus; Jürgen Klempnauer; Johann Pratschke; Michael P Manns; Christian P Strassburg
Journal:  Transpl Int       Date:  2010-09-03       Impact factor: 3.782

6.  The meaning and use of the area under a receiver operating characteristic (ROC) curve.

Authors:  J A Hanley; B J McNeil
Journal:  Radiology       Date:  1982-04       Impact factor: 11.105

7.  A revised model for end-stage liver disease optimizes prediction of mortality among patients awaiting liver transplantation.

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Review 8.  A model to predict survival in patients with end-stage liver disease.

Authors:  P S Kamath; R H Wiesner; M Malinchoc; W Kremers; T M Therneau; C L Kosberg; G D'Amico; E R Dickson; W R Kim
Journal:  Hepatology       Date:  2001-02       Impact factor: 17.425

9.  The survival benefit of liver transplantation.

Authors:  Robert M Merion; Douglas E Schaubel; Dawn M Dykstra; Richard B Freeman; Friedrich K Port; Robert A Wolfe
Journal:  Am J Transplant       Date:  2005-02       Impact factor: 8.086

10.  Survival benefit-based deceased-donor liver allocation.

Authors:  D E Schaubel; M K Guidinger; S W Biggins; J D Kalbfleisch; E A Pomfret; P Sharma; R M Merion
Journal:  Am J Transplant       Date:  2009-04       Impact factor: 8.086

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  5 in total

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3.  Liver transplantation: fifty years of experience.

Authors:  Alice Tung Wan Song; Vivian Iida Avelino-Silva; Rafael Antonio Arruda Pecora; Vincenzo Pugliese; Luiz Augusto Carneiro D'Albuquerque; Edson Abdala
Journal:  World J Gastroenterol       Date:  2014-05-14       Impact factor: 5.742

4.  Biliary complications following liver transplantation: Single-center experience over three decades and recent risk factors.

Authors:  Alexander Kaltenborn; André Gutcke; Jill Gwiasda; Jürgen Klempnauer; Harald Schrem
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5.  Predictive Capacity of Risk Models in Liver Transplantation.

Authors:  Jacob D de Boer; Hein Putter; Joris J Blok; Ian P J Alwayn; Bart van Hoek; Andries E Braat
Journal:  Transplant Direct       Date:  2019-05-22
  5 in total

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