Literature DB >> 16498643

MELD and prediction of post-liver transplantation survival.

Shahid Habib1, Brian Berk, Chung-Chou H Chang, Anthony J Demetris, Paulo Fontes, Igor Dvorchik, Bijan Eghtesad, Amadeo Marcos, A Obaid Shakil.   

Abstract

The model for end-stage liver disease (MELD) was developed to predict short-term mortality in patients with cirrhosis. It has since become the standard tool to prioritize patients for liver transplantation. We assessed the value of pretransplant MELD in the prediction of posttransplant survival. We identified adult patients who underwent liver transplantation at our institution during 1991-2002. Among 2,009 recipients, 1,472 met the inclusion criteria. Based on pretransplant MELD scores, recipients were stratified as low risk (< or = 15), medium risk (16-25), and high risk (>25). The primary endpoints were patient and graft survival. Mean posttransplant follow-up was 5.5 years. One-, 5- and 10-year patient survival was 83%, 72%, and 58%, respectively, and graft survival was 76%, 65%, and 53%, respectively. In univariable analysis, patient and donor age, patient sex, MELD score, disease etiology, and retransplantation were associated with posttransplantation patient and graft survival. In multivariable analysis adjusted for year of transplantation, patient age >65 years, donor age >50 years, male sex, and retransplantation and pretransplant MELD scores >25 were associated with poor patient and graft survival. The impact of MELD score >25 was maximal during the first year posttransplant. In conclusion, older patient and donor age, male sex of recipient, retransplantation, and high pretransplant MELD score are associated with poor posttransplant outcome. Pretransplant MELD scores correlate inversely with posttransplant survival. However, better prognostic models are needed that would provide an overall assessment of transplant benefit relative to the severity of hepatic dysfunction. Copyright 2006 AASLD

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Year:  2006        PMID: 16498643     DOI: 10.1002/lt.20721

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


  43 in total

1.  Intercontinental comparison of patient cohorts: what can we learn from it?

Authors:  P Schemmer; L Fischer; J Schmidt; M W Büchler
Journal:  Gut       Date:  2007-11       Impact factor: 23.059

2.  Low serum factor V level: early predictor of allograft failure and death following liver transplantation.

Authors:  Mauricio C Zulian; Marcio F Chedid; Aljamir D Chedid; Tomaz J M Grezzana Filho; Ian Leipnitz; Alexandre de Araujo; Mario R Alvares-da-Silva; Mario G Cardoni; Luciano S Guimaraes; Cleber D P Kruel; Cleber R P Kruel
Journal:  Langenbecks Arch Surg       Date:  2015-02-24       Impact factor: 3.445

3.  The Current State of Liver Transplantation.

Authors:  Robert S Brown
Journal:  Gastroenterol Hepatol (N Y)       Date:  2006-04

Review 4.  Donations After Circulatory Death in Liver Transplant.

Authors:  Emre A Eren; Nicholas Latchana; Eliza Beal; Don Hayes; Bryan Whitson; Sylvester M Black
Journal:  Exp Clin Transplant       Date:  2016-10       Impact factor: 0.945

5.  Outcomes among older adult liver transplantation recipients in the model of end stage liver disease (MELD) era.

Authors:  Maricar F Malinis; Shu Chen; Heather G Allore; Vincent J Quagliarello
Journal:  Ann Transplant       Date:  2014-09-26       Impact factor: 1.530

6.  Pre-transplant MELD and sodium MELD scores are poor predictors of graft failure and mortality after liver transplantation.

Authors:  Jacek B Cywinski; Edward J Mascha; Jing You; Daniel I Sessler; Leonardo Kapural; Maged Argalious; Brian M Parker
Journal:  Hepatol Int       Date:  2011-02-17       Impact factor: 6.047

7.  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

8.  Adult-to-adult living donor liver transplantation for acute liver failure in China.

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Journal:  World J Gastroenterol       Date:  2012-12-28       Impact factor: 5.742

Review 9.  [Liver transplantation: indications and results].

Authors:  C P Strassburg; M P Manns
Journal:  Internist (Berl)       Date:  2009-05       Impact factor: 0.743

10.  Epidemiology and risk factors for bacteremia in 144 consecutive living-donor liver transplant recipients.

Authors:  Sang Il Kim; Youn Jeong Kim; Yoon Hee Jun; Seong Heon Wie; Yang Ree Kim; Jong Young Choi; Seung Kyu Yoon; In Sung Moon; Dong Goo Kim; Myung Duk Lee; Moon Won Kang
Journal:  Yonsei Med J       Date:  2009-02-24       Impact factor: 2.759

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