Developing Prediction Models for Allograft Failure After Liver Transplantation

Summary

Prompt identification of allograft failure (AF) is highly desirable to address patients to liver retransplantation, in order to maximize results and preserve patients safety.

Recently, sophisticated kinetic models became available, offering the possibility to predict 90-day AF with unprecedented accuracy, by computing data from the first 10 days after liver transplant (LT).

The growing utilization of extended criteria and cardiac death donors stimulates the transplant community to further refine such predictive models and validate them on a larger scale population of patients across the nations.

This study aims to develop new algorithms for the timely prediction of AF at 90 and 365 days using a prospective international cohort from high-volume centers, to validate them on a large retrospective cohort, to identify the best time for retransplantation, to stratify the risk of AF according to the graft type (i.e. DBD, ECD, DCD, LD), to weigh the effect of risk-mitigation strategies, and to assess the correlation with post-LT morbidity and mortality.

Conditions

• Liver Transplant Disorder

Interventions

PROCEDURE

Liver Transplantation

Individuals with end-stage liver disease will be subjected to liver transplantation from deceased or living donors

Sponsors & Collaborators

• University of California, Los Angeles

  collaborator OTHER

• University Hospital Padova

  collaborator OTHER

• Mayo Clinic

  collaborator OTHER

• Hospital Italiano de Buenos Aires

  collaborator OTHER

• Tokyo Women's Medical University

  collaborator OTHER

• Hospital Universitario La Paz

  collaborator OTHER

• First Affiliated Hospital, Sun Yat-Sen University

  collaborator OTHER

• University of Roma La Sapienza

  collaborator OTHER

• University of Massachusetts, Worcester

  collaborator OTHER

• The Cleveland Clinic

  collaborator OTHER

• Dr. Rela Institute & Medical Centre

  collaborator UNKNOWN

• University of Toronto

  collaborator OTHER

• Universidade Federal do Paraná

  collaborator OTHER

• Royal Infirmary of Edinburgh

  collaborator OTHER

• Erasmus Medical Center

  collaborator OTHER

• Fondazione Policlinico Universitario Agostino Gemelli IRCCS

  lead OTHER

Principal Investigators

• Vatche Agopian · University of California, Los Angeles

• Alfonso W Avolio · Fondazione Policlinico universitario Agostino Gemelli IRCCS, Rome, Italy

Eligibility

Min Age

18 Years

Sex

ALL

Healthy Volunteers

No

Timeline & Regulatory

Start

2022-04-01

Primary Completion

2023-12-01

Completion

2024-04-01

Countries

• United States
• Argentina
• Brazil
• Canada
• China
• India
• Italy
• Japan
• Netherlands
• Spain
• United Kingdom

Study Locations