Automated prediction of cardiorespiratory deterioration in patients with single-ventricle parallel circulation: A multicenter validation studyCentral MessagePerspective

Automated prediction of cardiorespiratory deterioration in patients with single-ventricle parallel circulation: A multicenter validation studyCentral MessagePerspective

Objectives: Patients with single-ventricle physiology have a significant risk of cardiorespiratory deterioration between their first- and second-stage palliation surgeries. Detection of deterioration episodes may allow for early intervention and improved outcomes. Methods: A prospective study was ex...

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Bibliographic Details
Main Authors: Craig G. Rusin, PhD, Sebastian I. Acosta, PhD, Kennith M. Brady, MD, Eric Vu, MD, Carly Scahill, MD, Brian Fonseca, MD, Cindy Barrett, MD, Janet Simsic, MD, Andrew R. Yates, MD, Brenna Klepczynski, RN, BSN, William J. Gaynor, MD, Daniel J. Penny, MD, PhD, MHA
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:JTCVS Open
Subjects:
clinical deterioration
prediction algorithm
single-ventricle physiology
arrest prediction
data mining
forecasting
Online Access:http://www.sciencedirect.com/science/article/pii/S2666273623001614

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http://www.sciencedirect.com/science/article/pii/S2666273623001614

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