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Machine learning−derived multivariable predictors of postcardiotomy cardiogenic shock in high-risk cardiac surgery patientsCentral MessagePerspective

Objective: To develop a model for preoperatively predicting postcardiotomy cardiogenic shock (PCCS) in patients with poor left ventricular (LV) function undergoing cardiac surgery. Methods: From the Society of Thoracic Surgeons Adult Cardiac Database, 11,493 patients with LV ejection fraction ≤35% u...

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Principais autores: Edward G. Soltesz, MD, MPH, Randi J. Parks, PhD, Elise M. Jortberg, MS, Eugene H. Blackstone, MD
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2024-12-01
coleção:JTCVS Open
Assuntos:
CABG
mitral valve surgery
LV dysfunction
machine learning
postcardiotomy shock
STS ACSD
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S2666273624002766
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