Literature DB >> 21585550

LabMELD-based organ allocation increases total costs of liver transplantation: a single-center experience.

Helge Bruns1, Norbert Hillebrand, Tobias Schneider, Ulf Hinz, Lars Fischer, Jan Schmidt, Andreas J W Goldschmidt, Peter Schemmer.   

Abstract

INTRODUCTION: In 2006, model for end-stage liver disease (MELD)-based allocation was implemented in the Eurotransplant (ET) region. Sick patients, who in general require more resources, are prioritized. In this analysis, the effect of MELD on costs for liver transplantation (LTx) was assessed.
METHODS: Total costs for LTx before and after implementation of MELD were identified in 256 patients from January 2005-December 2007. Forty-nine patients (Re-LTx, HU listings, and 30-d mortality) were excluded from further analysis. The costs of LTx in 207 patients have been correlated with their corresponding labMELD; 84 and 123 LTx before and after implementation of MELD were compared, and patient survival was monitored.
RESULTS: A positive correlation exists between labMELD and costs (r(2) = 0.28; p < 0.05). Only nominal correlation existed between the Child-Pugh classification and costs. The labMELD scores can be stratified into four groups (I: 6-10, II: 11-18, III: 19-24, and IV: >24), with an increase of €15.672 ± 2.233 between each group (p < 0.05). Recipients' labMELD at the time of LTx increased significantly in the MELD-based allocation system. Costs increased by €11.650/patient (p < 0.05), while median survival decreased from 1219 to 869 d (p < 0.05).
CONCLUSION: LabMELD-based allocation increased total costs of LTx. In accordance with other studies, the sickest patients need the most resources.
© 2011 John Wiley & Sons A/S.

Entities:  

Mesh:

Year:  2011        PMID: 21585550     DOI: 10.1111/j.1399-0012.2011.01483.x

Source DB:  PubMed          Journal:  Clin Transplant        ISSN: 0902-0063            Impact factor:   2.863


  6 in total

Review 1.  [Complication management after liver transplantation. Increasing patient safety by standardized approach and interdisciplinary cooperation].

Authors:  P Houben; D N Gotthardt; B Radeleff; P Sauer; M W Büchler; P Schemmer
Journal:  Chirurg       Date:  2015-02       Impact factor: 0.955

2.  The MELD score predicts the short-term and overall survival after liver transplantation in patients with primary sclerosing cholangitis or autoimmune liver diseases.

Authors:  Katrin Hoffmann; Ulf Hinz; Norbert Hillebrand; Tom Ganten; Daniel Gotthardt; Thomas Longerich; Peter Schirmacher; Peter Schemmer
Journal:  Langenbecks Arch Surg       Date:  2014-08-09       Impact factor: 3.445

3.  Prediction of postoperative mortality in liver transplantation in the era of MELD-based liver allocation: a multivariate analysis.

Authors:  Helge Bruns; Vladimir J Lozanovski; Daniel Schultze; Norbert Hillebrand; Ulf Hinz; Markus W Büchler; Peter Schemmer
Journal:  PLoS One       Date:  2014-06-06       Impact factor: 3.240

4.  Patients Benefit from Liver Transplantation for Hepatocellular Carcinoma beyond Milan Criteria without Harming the Health Care System.

Authors:  Jan-Paul Gundlach; Michael Linecker; Henrike Dobbermann; Felix Wadle; Thomas Becker; Felix Braun
Journal:  Cancers (Basel)       Date:  2022-02-23       Impact factor: 6.639

5.  Early Allograft Dysfunction Increases Hospital Associated Costs After Liver Transplantation-A Propensity Score-Matched Analysis.

Authors:  Simon Moosburner; Igor M Sauer; Frank Förster; Thomas Winklmann; Joseph Maria George Vernon Gassner; Paul V Ritschl; Robert Öllinger; Johann Pratschke; Nathanael Raschzok
Journal:  Hepatol Commun       Date:  2020-12-05

6.  Effect of delayed CNI-based immunosuppression with Advagraf® on liver function after MELD-based liver transplantation [IMUTECT].

Authors:  Susanne Richter; Georg Polychronidis; Daniel N Gotthardt; Philipp Houben; Thomas Giese; Anja Sander; Colette Dörr-Harim; Markus K Diener; Peter Schemmer
Journal:  BMC Surg       Date:  2014-09-01       Impact factor: 2.102

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.