The rise and fall of the model for end-stage liver disease score and the need for an optimized machine learning approach for liver allocation.

Journal: Current opinion in organ transplantation
PMID: 32073494

Abstract

PURPOSE OF REVIEW: The Model for End-Stage Liver Disease (MELD) has been used to rank liver transplant candidates since 2002, and at the time bringing much needed objectivity to the liver allocation process. However, and despite numerous revisions to the MELD score, current liver allocation still does not allow for equitable access to all waitlisted liver candidates.

Authors

  • Parsia A Vagefi
    Department of Surgery, UT Southwestern Medical Center, Dallas, Texas.
  • Dimitris Bertsimas
    Dimitris Bertsimas, Jack Dunn, Colin Pawlowski, John Silberholz, Alexander Weinstein, and Ying Daisy Zhuo, Massachusetts Institute of Technology, Cambridge; Eddy Chen, Massachusetts General Hospital Cancer Center; Harvard Medical School; Aymen A. Elfiky, Dana-Farber Cancer Institute; Brigham and Women's Hospital; Harvard Medical School, Boston, MA.
  • Ryutaro Hirose
    Department of Surgery, UCSF, San Francisco, California, USA.
  • Nikolaos Trichakis
    MIT Sloan School of Management, Cambridge, Massachusetts.

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