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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.
Objectives:
A heart transplant (Htx) remains the gold standard treatment for patients with advanced heart failure. Considering the limited availability of organs, donor risk scores might improve organ selection and allocation. The objective of the study was to compare United Network for Organ Sharing, RADIAL and Eurotransplant scoring models in calculating post-Htx outcomes in an Italian Htx population.
Methods:
Between January 2000 and December 2017, a total of 461 adult patients underwent Htxs. United Network for Organ Sharing, RADIAL and Eurotransplant scores were calculated. Clinical features and donor risk scores were tested to identify preoperative, intraoperative and postoperative risk variables and eventually validate the scores on our population.
Results:
Early graft failure was detected in 16.1% (74/461). Post-Htx extracorporeal life support was used in 11.1% (51/461). Of the donor-related factors, the use of noradrenaline (P = 0.015) negatively influenced early outcomes, whereas an ischaemic time >240 min (P = 0.037) influenced early graft failure occurrence. The Eurotransplant donor score did not impact outcomes; the RADIAL score significantly influenced both early and late mortality; and the United Network for Organ Sharing score influenced only late mortality. On the multivariable analysis, after adjustment of scores per cohort, noradrenaline infusion was the main independent predictor of in-hospital mortality for the donors, whereas age of the recipient [odds ratio (OR) 1.003, 1.003-1.081; P = 0.032] and use of preoperative extracorporeal membrane oxygenation (OR 3.320, 1.124-9.805; P = 0.030) were the main independent predictors for the recipients.
Conclusions:
None of the validated donor scoring systems fully behave as reliable predictors of transplant outcomes. According to our 'local only' graft selection, specific donor and recipient risk variables should be monitored in order to predict early and late outcomes satisfactorily.
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