The International Heart Transplant Survival Algorithm (IHTSA): A New Model to Improve Organ Sharing and Survival.

Summary, in English

Heart transplantation is life saving for patients with end-stage heart disease. However, a number of factors influence how well recipients and donor organs tolerate this procedure. The main objective of this study was to develop and validate a flexible risk model for prediction of survival after heart transplantation using the largest transplant registry in the world.

• Author: Johan Nilsson; Mattias Ohlsson; Peter Höglund; Björn Ekmehag; Bansi Koul; Bodil Andersson
• Department/s: Thoracic Surgery; Artificial Intelligence and Bioinformatics in Cardiothoracic Sciences (AIBCTS); Heart and Lung transplantation; Computational Biology and Biological Physics - Has been reorganised; Department of Astronomy and Theoretical Physics - Has been reorganised; Artificial Intelligence in CardioThoracic Sciences (AICTS); Division of Clinical Chemistry and Pharmacology; Cardiology; Surgery (Lund)
• Publishing year: 2015
• Language: English
• Publication/Series: PLoS ONE
• Volume: 10
• Issue: 3
• Full text: - 3 MB; Download statistics
• Links: http://www.ncbi.nlm.nih.gov/pubmed/25760647?dopt=Abstract; http://dx.doi.org/10.1371/journal.pone.0118644
• Document type: Journal article
• Publisher: Public Library of Science (PLoS)
• Topic: Surgery; Cardiac and Cardiovascular Systems
• Status: Published
• Project: Pancreatic cancer
• Research group: Artificial Intelligence and Bioinformatics in Cardiothoracic Sciences (AIBCTS); Heart and Lung transplantation; Artificial Intelligence in CardioThoracic Sciences (AICTS)
• ISBN/ISSN/Other: ISSN: 1932-6203