Your browser has javascript turned off or blocked. This will lead to some parts of our website to not work properly or at all. Turn on javascript for best performance.

The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Mattias Ohlsson

Mattias Ohlsson

Professor

Mattias Ohlsson

CODUSA - Customize Optimal Donor Using Simulated Annealing In Heart Transplantation.

Author

  • Daniel Ansari
  • Bodil Andersson
  • Mattias Ohlsson
  • Peter Höglund
  • Roland Andersson
  • Johan Nilsson

Summary, in English

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.

Department/s

  • Surgery (Lund)
  • Computational Biology and Biological Physics
  • Division of Clinical Chemistry and Pharmacology
  • Thoracic Surgery

Publishing year

2013

Language

English

Publication/Series

Scientific Reports

Volume

3

Issue

May,30

Document type

Journal article

Publisher

Nature Publishing Group

Topic

  • Surgery

Status

Published

ISBN/ISSN/Other

  • ISSN: 2045-2322