[Model for end-stage liver disease. New basis of allocation for liver transplantations]

Chirurg. 2008 Feb;79(2):157-63. doi: 10.1007/s00104-008-1463-4.
[Article in German]

Abstract

In December 2006 the allocation of livers from deceased donors in Germany and several other Eurotransplant countries was reset. The previous allocation system relied on CTP score to assess the need of transplantation, but it also assigned to waiting time a prominent role in prioritization. That system was replaced by the primarily urgency-oriented model of end-stage liver disease (MELD) allocation system. First experience with this classification in the U.S.A. shows that MELD scores are able to identify the urgency of liver transplantation correctly in most types of liver disease. Due to the MELD-based allocation, the growing waiting time and waiting-list mortality could be counteracted. At the same time it became evident however that MELD scores do not reflect mortality on the waiting list or thus the urgency for all types of liver diseases. Therefore the new allocation system introduced in the Eurotransplant countries contains standardized and flexible exceptions for these diseases. In addition the new allocation rules were created as a learning system. Repeated "fine tuning" of the allocation process based on continuous monitoring of daily allocation practice and clinical studies aim at just and effective distribution of the precious and limited supply of donor organs.

Publication types

  • English Abstract
  • Review

MeSH terms

  • Bilirubin / blood
  • Creatinine / blood
  • Europe
  • Germany
  • Health Status
  • Humans
  • International Normalized Ratio
  • Liver Failure / mortality
  • Liver Failure / surgery*
  • Liver Neoplasms / mortality
  • Liver Neoplasms / surgery*
  • Needs Assessment / statistics & numerical data
  • Postoperative Complications / mortality
  • Prothrombin Time
  • Risk Factors
  • Survival Rate
  • Tissue Donors / supply & distribution*
  • Waiting Lists*

Substances

  • Creatinine
  • Bilirubin