title: CODUSA--customize optimal donor using simulated annealing in heart transplantation.
abstract: In heart transplantation, selection of an optimal recipient-donor match has been constrained by the lack of individualized prediction models. Here we developed a customized donor-matching model (CODUSA) for patients requiring heart transplantations, by combining simulated annealing and artificial neural networks. Using this approach, by analyzing 59,698 adult heart transplant patients, we found that donor age matching was the variable most strongly associated with long-term survival. Female hearts were given to 21% of the women and 0% of the men, and recipients with blood group B received identical matched blood group in only 18% of best-case match compared with 73% for the original match. By optimizing the donor profile, the survival could be improved with 33 months. These findings strongly suggest that the CODUSA model can improve the ability to select optimal match and avoid worst-case match in the clinical setting. This is an important step towards personalized medicine.
authors.affiliation: Lund University and Skåne University Hospital, Department of Clinical Sciences Lund, Surgery.
authors.forename: Daniel
authors.initials: D
authors.lastname: Ansari
authors.forename: Bodil
authors.initials: B
authors.lastname: Andersson
authors.forename: Mattias
authors.initials: M
authors.lastname: Ohlsson
authors.forename: Peter
authors.initials: P
authors.lastname: Höglund
authors.forename: Roland
authors.initials: R
authors.lastname: Andersson
authors.forename: Johan
authors.initials: J
authors.lastname: Nilsson
mesh_terms: D000328:Adult; D003198:Computer Simulation; D015986:Confounding Factors, Epidemiologic; D005260:Female; D016027:Heart Transplantation; D006650:Histocompatibility Testing; D006801:Humans; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D009010:Monte Carlo Method; D011379:Prognosis; D016016:Proportional Hazards Models; D015203:Reproducibility of Results; D012307:Risk Factors; D016019:Survival Analysis; D014019:Tissue Donors; D016896:Treatment Outcome