Donor risk analysis and validation in heart transplants: a single-centre experience

Giacomo Murana1, Mariafrancesca Fiorentino1, Gregorio Gliozzi1

  • 1Department of Cardiothoracic Surgery, S. Orsola Hospital, University of Bologna, Bologna, Italy.

Insights

Donor risk scores like RADIAL and United Network for Organ Sharing (UNOS) show limited predictive power for heart transplant outcomes. Local graft selection and monitoring specific donor/recipient factors are crucial for predicting success.

Area of Science:

  • Cardiology
  • Transplantation Medicine
  • Medical Informatics

Background:

  • Heart transplantation (Htx) is the optimal treatment for end-stage heart failure.
  • Limited organ availability necessitates improved donor selection and allocation strategies.
  • Donor risk scores aim to predict post-transplant outcomes and optimize organ utilization.

Purpose of the Study:

  • To evaluate the performance of United Network for Organ Sharing (UNOS), RADIAL, and Eurotransplant donor scoring models.
  • To compare these models in predicting early and late outcomes in an Italian heart transplant population.
  • To identify key donor and recipient risk factors influencing transplant success.

Main Methods:

  • Retrospective analysis of 461 adult heart transplant recipients between 2000 and 2017.
  • Calculation and validation of UNOS, RADIAL, and Eurotransplant donor risk scores.
  • Multivariable analysis to identify independent predictors of in-hospital, early, and late mortality.

Main Results:

  • Early graft failure occurred in 16.1% of patients; 11.1% required extracorporeal life support.
  • Donor noradrenaline use and ischemic time >240 minutes negatively impacted early outcomes.
  • RADIAL score predicted early and late mortality, UNOS score predicted late mortality, Eurotransplant score did not impact outcomes.
  • Donor noradrenaline infusion, recipient age, and preoperative extracorporeal membrane oxygenation were independent predictors of mortality.

Conclusions:

  • Existing donor scoring systems demonstrated limited reliability in predicting heart transplant outcomes in this cohort.
  • A 'local only' graft selection approach, considering specific donor and recipient variables, is recommended.
  • Careful monitoring of identified risk factors is essential for accurate prediction of early and late transplant outcomes.
Abstract