Optimization of heart allocation: The transplant risk score

Area of Science:

• Cardiology
• Transplantation Medicine
• Medical Informatics

Background:

• The French heart allocation system aims to reduce waitlist mortality and increase the donor pool without compromising post-transplant survival.
• Accurate prediction of graft loss is crucial for effective donor-recipient matching and optimizing transplant outcomes.

Purpose of the Study:

• To develop a 1-year post-transplant graft-loss risk score (TRS) incorporating recipient and donor characteristics.
• To assess the accuracy of the TRS in predicting graft loss and facilitating optimal donor-recipient matching.

Main Methods:

• Analysis of adult first single-organ heart recipients transplanted between 2010 and 2014 (N=1776).
• Random division into derivation and validation cohorts (2:1 ratio).
• Mixed Cox model with center as a random effect to identify predictors of 1-year graft loss.

Main Results:

• Key predictors of 1-year graft loss included recipient factors (age >50, specific heart conditions, prior surgery, diabetes, ventilation, GFR, bilirubin) and donor factors (age >55, female sex).
• The final model demonstrated good predictive accuracy (C-index=0.70) with excellent correlation between observed and predicted graft loss (r=0.90).
• Transplanting high-risk donors to low-risk recipients showed similar survival rates to low-risk donor-recipient pairs.

Conclusions:

• The developed Transplant-Risk Score (TRS) accurately predicts 1-year graft-loss risk in heart transplant recipients.
• The TRS enables more precise donor-recipient matching, potentially improving transplant outcomes.
• This tool supports the goals of the French heart allocation system by optimizing resource utilization and patient survival.