Literature DB >> 20819196

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

Tobias J Weismüller1, 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.   

Abstract

Since the introduction of model for end-stage liver disease (MELD) in 2006, post-orthotopic liver transplantation (OLT) survival in Germany has declined. The aim of this study was to evaluate risk factors and prognostic scores for outcome. All adult OLT recipients in seven German transplant centers after MELD implementation (December 2006-December 2007) were included. Recipient data were analyzed for their influence on 1-year outcome. A total of 462 patients (mean calculated MELD = 20.5, follow-up: 1 year) were transplanted for alcoholic cirrhosis (33.1%), hepatocellular carcinoma (26.6%), Hepatitis-C (17.1%), Hepatitis-B (9.5%), primary sclerosing cholangitis (5.6%) and late graft-failure after first OLT before December 2006 (8.7%). 1-year patient survival was 75.8% (graft survival 71.2%) correlating with MELD parameters and serum choline esterase. MELD score >30 [odds ratio (OR) = 4.17, confidence interval: 2.57-6.78, 12-month survival = 52.6%, c-statistic = 0.669], hyponatremia (OR = 2.07), and pre-OLT hemodialysis (OR = 2.35) were the main death risk factors. In alcoholic cirrhosis (n = 153, mean MELD = 21.1) and hepatocellular carcinoma (n = 123, mean MELD = 13.5), serum bilirubin and the survival after liver transplantation score were independent outcome parameters, respectively. MELD >30 currently represents a major risk factor for outcome. Risk factors differ in individual patient subgroups. In the current German practice of organ allocation to sicker patients, outcome prediction should be considered to prevent results below acceptable standards.
© 2010 The Authors. Transplant International © 2010 European Society for Organ Transplantation.

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Year:  2010        PMID: 20819196     DOI: 10.1111/j.1432-2277.2010.01161.x

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


  43 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.  Pre- and Peri-Operative Factors Associated with Chronic Critical Illness in Liver Transplant Recipients.

Authors:  Nicholas E Ingraham; Christopher J Tignanelli; Jeremiah Menk; Jeffrey G Chipman
Journal:  Surg Infect (Larchmt)       Date:  2019-10-16       Impact factor: 2.150

3.  Criteria-specific long-term survival prediction model for hepatocellular carcinoma patients after liver transplantation.

Authors:  Fei Teng; Gui-Hua Wang; Yi-Feng Tao; Wen-Yuan Guo; Zheng-Xin Wang; Guo-Shan Ding; Xiao-Min Shi; Zhi-Ren Fu
Journal:  World J Gastroenterol       Date:  2014-08-21       Impact factor: 5.742

Review 4.  Model for End-stage Liver Disease.

Authors:  Ashwani K Singal; Patrick S Kamath
Journal:  J Clin Exp Hepatol       Date:  2012-12-01

5.  Early post-transplant survival: Interaction of MELD score and hospitalization status.

Authors:  Therese Bittermann; George Makar; David S Goldberg
Journal:  J Hepatol       Date:  2015-04-07       Impact factor: 25.083

6.  Statistical approach to quality assessment in liver transplantation.

Authors:  Harald Schrem; Sophia Volz; Hans-Friedrich Koch; Jill Gwiasda; Priscila Kürsch; Alon Goldis; Daniel Pöhnert; Markus Winny; Jürgen Klempnauer; Alexander Kaltenborn
Journal:  Langenbecks Arch Surg       Date:  2017-09-09       Impact factor: 3.445

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

Authors:  Laurence S Magder; Arie Regev; Ayse L Mindikoglu
Journal:  Transpl Int       Date:  2012-02-02       Impact factor: 3.782

8.  [Allocation systems in transplantation medicine: Advantages and disadvantages].

Authors:  J Gottlieb; W Gwinner; C P Strassburg
Journal:  Internist (Berl)       Date:  2016-01       Impact factor: 0.743

9.  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

Review 10.  Current strategies for immunosuppression following liver transplantation.

Authors:  Daniel Nils Gotthardt; Helge Bruns; Karl Heinz Weiss; Peter Schemmer
Journal:  Langenbecks Arch Surg       Date:  2014-04-20       Impact factor: 3.445

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