Comorbidities have a limited impact on post-transplant survival in carefully selected cirrhotic patients: a

Filipe S Cardoso1, Sean M Bagshaw1, Juan G Abraldes2

  • 1Division of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada.

Insights

A new model for predicting long-term survival after liver transplantation (OLT) was developed. Existing comorbidity indices showed limited value in predicting post-transplant outcomes in carefully selected patients.

Area of Science:

  • Hepatology and Transplant Surgery
  • Medical Statistics and Predictive Modeling

Background:

  • Accurate estimation of long-term survival post-orthotopic liver transplantation (OLT) is crucial for optimizing transplant eligibility.
  • Existing models, such as the Charlson Comorbidity Index for OLT (CCI-OLT), require external validation and refinement.

Purpose of the Study:

  • To externally validate the CCI-OLT for predicting 5-year mortality after OLT.
  • To develop and internally validate a new predictive model for 5-year post-transplant mortality.

Main Methods:

  • A retrospective cohort study of 524 adult cirrhotic patients undergoing OLT between 2002-2012.
  • External validation of CCI-OLT using Kaplan-Meier survival analysis.
  • Development of a new predictive model using Cox proportional hazards regression based on pre-transplant patient characteristics.

Main Results:

  • One-, 3-, and 5-year cumulative survival rates post-OLT were 89%, 80%, and 73%, respectively.
  • CCI-OLT was not significantly associated with 5-year post-transplant mortality (P = 0.34).
  • A new model, incorporating age, BMI, hepatitis C, hepatic encephalopathy, ICU stay, and donor type, showed modest predictive capacity (C-index = 0.64) and was internally validated. A nomogram was developed for individual survival probability estimation.

Conclusions:

  • The CCI-OLT demonstrated no association with survival in this cohort.
  • The newly developed predictive model has modest discriminative ability, indicating limited value of pre-transplant characteristics for predicting outcomes in highly selected OLT patients.
Abstract

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