Literature DB >> 15237375

Pretransplant MELD score and post liver transplantation survival in the UK and Ireland.

Mathew Jacob1, Lynn P Copley, James D Lewsey, Alex Gimson, Giles J Toogood, Mohamed Rela, Jan H P van der Meulen.   

Abstract

It has been shown that the model for end-stage liver disease (MELD) score is an accurate predictor of survival in patients with liver disease without transplantation. Four recent studies carried out in the United States have demonstrated that the MELD score obtained immediately prior to transplantation is also associated with post-transplant patient survival. Our aim was to evaluate how accurately the MELD score predicts 90-day post-transplant survival in adult patients with chronic liver disease in the UK and Ireland. The UK and Ireland Liver Transplant Audit has data on all liver transplants since 1994. We studied survival of 3838 adult patients after first elective liver transplantation according to United Network for Organ Sharing categories of their MELD scores (< or = 10, 11-18, 19-24, 25-35, > or =36). The overall survival at 90-days was 90.2%. The 90-day survival varied according to the United Network for Organ Sharing MELD categories (92.6%, 91.9%, 89.7%, 89.7%, and 70.8%, respectively; P < 0.01). Therefore, only those patients with a MELD score of 36 or higher (3% of the patients) had a survival that was markedly lower than the rest. As a consequence, the ability of the MELD score to discriminate between patients who were dead or alive was poor (c-statistic 0.58). Re-estimating the coefficients in the MELD regression model, even allowing for nonlinear relationships, did not improve its discriminatory ability. In conclusion, in the UK and Ireland the MELD score is significantly associated with post-transplant survival, but its predictive ability is poor. These results are in agreement with results found in the United States. Therefore, the most appropriate system to support patient selection for transplantation will be one that combines a pretransplant survival model (e.g., MELD score) with a properly developed post-transplant survival model.

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Year:  2004        PMID: 15237375     DOI: 10.1002/lt.20169

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


  25 in total

1.  Value of the SOFA score as a predictive model for short-term survival in high-risk liver transplant recipients with a pre-transplant labMELD score ≥ 30.

Authors:  Harald Schrem; Melanie Reichert; Benedikt Reichert; Thomas Becker; Frank Lehner; Moritz Kleine; Hüseyin Bektas; Kai Johanning; Christian P Strassburg; Jürgen Klempnauer
Journal:  Langenbecks Arch Surg       Date:  2011-12-06       Impact factor: 3.445

2.  Development of a survival evaluation model for liver transplant recipients with hepatocellular carcinoma secondary to hepatitis B.

Authors:  Ming Zhang; Bo Li; Lu-Nan Yan; Fei Yin; Tian-Fu Wen; Yong Zeng; Ji-Chun Zhao; Yu-Kui Ma
Journal:  World J Gastroenterol       Date:  2008-02-28       Impact factor: 5.742

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.  MELD-good for many, not as good for others … at least for now.

Authors:  Thomas Schiano
Journal:  Hepatol Int       Date:  2012-07-25       Impact factor: 6.047

5.  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

6.  Association of preoperative parameters with postoperative mortality and long-term survival after liver transplantation.

Authors:  Dionisios Vrochides; Mazzen Hassanain; Jeffrey Barkun; Jean Tchervenkov; Steven Paraskevas; Prosanto Chaudhury; Marcelo Cantarovich; Marc Deschenes; Phil Wong; Peter Ghali; Gabriel Chan; Peter Metrakos
Journal:  Can J Surg       Date:  2011-04       Impact factor: 2.089

7.  Model for end-stage liver disease score predicts complications after liver transplantation.

Authors:  Hans-Christian Pommergaard; Thomas Røjkjær Daugaard; Andreas Arendtsen Rostved; Nicolai Aagaard Schultz; Jens Hillingsø; Paul Suno Krohn; Allan Rasmussen
Journal:  Langenbecks Arch Surg       Date:  2020-11-02       Impact factor: 3.445

8.  Analyses of prognostic indices of chronic liver failure caused by hepatitis virus.

Authors:  Xiao-Mao Li; Lin Ma; Yue-Bo Yang; Zhong-Jie Shi; Shui-Sheng Zhou
Journal:  World J Gastroenterol       Date:  2005-05-14       Impact factor: 5.742

9.  Living donor liver transplantation for high model for end-stage liver disease score: What have we learned?

Authors:  Hany Dabbous; Mohammad Sakr; Sara Abdelhakam; Iman Montasser; Mohamed Bahaa; Hany Said; Mahmoud El-Meteini
Journal:  World J Hepatol       Date:  2016-08-08

Review 10.  Predictive factors of short term outcome after liver transplantation: A review.

Authors:  Giuliano Bolondi; Federico Mocchegiani; Roberto Montalti; Daniele Nicolini; Marco Vivarelli; Lesley De Pietri
Journal:  World J Gastroenterol       Date:  2016-07-14       Impact factor: 5.742

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