Literature DB >> 22410023

High model for end-stage liver disease score as a predictor of survival during long-term follow-up after liver transplantation.

H Suzuki1, A S R Bartlett, P Muiesan, W Jassem, M Rela, N Heaton.   

Abstract

BACKGROUND: The allocation of cadaveric livers for transplantation in the United States is now based on the severity of illness as determined by the Model for End-Stage Liver Disease (MELD), which was developed to predict short-term mortality in patients with cirrhosis. However, its impact to predict posttransplantation survival is controversial. The objective of this study was to determine the association of various pretransplantation risk factors, including the MELD score and whether its use to allocate organs is likely to lead to overall poorer outcomes of liver transplantation.
METHODS: The 1,032 consecutive adult liver transplantation patients at King's College Hospital between 2 January 1994 and 29 December 2001 were examined for 9 preoperative risk factors, including MELD score, using univariate and multivariate techniques. Based on their pretransplantation MELD scores, we categorized recipients as low (<15) medium (15-25), or high (>25). Kaplan-Meier patient survival analysis was used to identify differences in outcomes.
RESULTS: The patients had a mean age of 47.2 years and mean posttransplantation follow-up of 5.3 years. Univariate analysis showed recipient diabetes mellitus, renal dysfunction, and pretransplantation MELD score to be associated with patient survival. Multivariate analysis showed the MELD score to be significantly associated with death during long-term follow-up.
CONCLUSIONS: A high pretransplantation MELD score was associated with poor posttransplantation outcomes. Copyright Â
© 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22410023     DOI: 10.1016/j.transproceed.2011.11.013

Source DB:  PubMed          Journal:  Transplant Proc        ISSN: 0041-1345            Impact factor:   1.066


  4 in total

1.  Single-Center Experience on Liver Transplantation for Model for End-Stage Liver Disease Score 40 Patients.

Authors:  Georgios C Sotiropoulos; Spyridon Vernadakis; Andreas Paul; Dieter P Hoyer; Fuat H Saner; Anja Gallinat
Journal:  Dig Dis Sci       Date:  2016-08-18       Impact factor: 3.199

2.  Development and Validation of a Model to Predict Long-Term Survival After Liver Transplantation.

Authors:  David Goldberg; Alejandro Mantero; Craig Newcomb; Cindy Delgado; Kimberly Forde; David Kaplan; Binu John; Nadine Nuchovich; Barbara Dominguez; Ezekiel Emanuel; Peter P Reese
Journal:  Liver Transpl       Date:  2021-06       Impact factor: 5.799

3.  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

4.  Development of a Novel Prognostic Nomogram for High Model for End-Stage Liver Disease Score Recipients Following Deceased Donor Liver Transplantation.

Authors:  Mengfan Yang; Abdul Rehman Khan; Di Lu; Xuyong Wei; Wenzhi Shu; Chuanshen Xu; Binhua Pan; Zhisheng Zhou; Rui Wang; Qiang Wei; Beini Cen; Jinzhen Cai; Shusen Zheng; Xiao Xu
Journal:  Front Med (Lausanne)       Date:  2022-03-03
  4 in total

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