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Development of a hybrid decision support model for optimal ventricular assist device weaning

Santelices, LC and Wang, Y and Severyn, D and Druzdzel, MJ and Kormos, RL and Antaki, JF (2010) Development of a hybrid decision support model for optimal ventricular assist device weaning. Annals of Thoracic Surgery, 90 (3). 713 - 720. ISSN 0003-4975

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Background: Despite the small but promising body of evidence for cardiac recovery in patients that have received ventricular assist device (VAD) support, the criteria for identifying and selecting candidates who might be weaned from a VAD have not been established. Methods: A clinical decision support system was developed based on a Bayesian Belief Network that combined expert knowledge with multivariate statistical analysis. Expert knowledge was derived from interviews of 11 members of the Artificial Heart Program at the University of Pittsburgh Medical Center. This was supplemented by retrospective clinical data from the 19 VAD patients considered for weaning between 1996 and 2004. Artificial Neural Networks and Natural Language Processing were used to mine these data and extract sensitive variables. Results: Three decision support models were compared. The model exclusively based on expert-derived knowledge was the least accurate and most conservative. It underestimated the incidence of heart recovery, incorrectly identifying 4 of the successfully weaned patients as transplant candidates. The model derived exclusively from clinical data performed better but misidentified 2 patients: 1 weaned successfully, and 1 that needed a cardiac transplant ultimately. An expert-data hybrid model performed best, with 94.74% accuracy and 75.37% to 99.07% confidence interval, misidentifying only 1 patient weaned from support. Conclusions: A clinical decision support system may facilitate and improve the identification of VAD patients who are candidates for cardiac recovery and may benefit from VAD removal. It could be potentially used to translate success of active centers to those less established and thereby expand use of VAD therapy. © 2010 The Society of Thoracic Surgeons.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Santelices, LC
Wang, Y
Severyn, D
Druzdzel, MJmarek@sis.pitt.eduDRUZDZEL0000-0002-7598-2286
Kormos, RLkormos@pitt.eduKORMOS
Antaki, JF
Date: 1 January 2010
Date Type: Publication
Journal or Publication Title: Annals of Thoracic Surgery
Volume: 90
Number: 3
Page Range: 713 - 720
DOI or Unique Handle: 10.1016/j.athoracsur.2010.03.073
Institution: University of Pittsburgh
Refereed: Yes
ISSN: 0003-4975
Related URLs:
PubMed ID: 20732482
Date Deposited: 01 Mar 2011 17:19
Last Modified: 05 Mar 2019 01:55


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