Liver Retransplantation: Identifying Factors and Developing a Risk Prediction Model to Predict Futility in the Modern Era.

Journal: Transplantation
Published Date:

Abstract

BACKGROUND: Liver retransplantation (rLT) results have traditionally been inferior compared with those of primary liver transplantation. Understanding the risks and anticipated outcomes is essential for patient counseling and obtaining informed consent.

Authors

  • Daniel Waller
    Division of Biostatistics and Health Data Science, School of Public Health, University of Minnesota, Minneapolis, MN.
  • Srinath Chinnakotla
    Liver Transplant Program, Department of Surgery, University of Minnesota Medical School, Minneapolis, MN.
  • Karthik Ramanathan
    Liver Transplant Program, Department of Surgery, University of Minnesota Medical School, Minneapolis, MN.
  • Jessica Brierton
    Liver Transplant Program, Department of Surgery, University of Minnesota Medical School, Minneapolis, MN.
  • Sankhya Chintakrinda
    Liver Transplant Program, Department of Surgery, University of Minnesota Medical School, Minneapolis, MN.
  • Daniel Kuehler
    Liver Transplant Program, Department of Surgery, University of Minnesota Medical School, Minneapolis, MN.
  • Abraham Matar
    Liver Transplant Program, Department of Surgery, University of Minnesota Medical School, Minneapolis, MN.
  • Matthew Wright
    School of Photovoltaic and Renewable Energy Engineering, University of New South Wales, 2052 Sydney, Australia.
  • David M Vock
    Division of Biostatistics, School of Public Health, University of Minnesota, 420 Delaware Street S.E., MMC 303, Minneapolis, MN 55455, United States. Electronic address: vock@umn.edu.
  • Vanessa Humphreville
    Liver Transplant Program, Department of Surgery, University of Minnesota Medical School, Minneapolis, MN.

Keywords

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