Dynamic prediction modeling of postoperative mortality among patients undergoing surgical aortic valve replacement in a statewide cohort over a 12-year periodCentral MessagePerspective

Dynamic prediction modeling of postoperative mortality among patients undergoing surgical aortic valve replacement in a statewide cohort over a 12-year periodCentral MessagePerspective

Objective: Clinical prediction models for surgical aortic valve replacement mortality, are valuable decision tools but are often limited in their ability to account for changes in medical practice, patient selection, and the risk of outcomes over time. Recent research has identified methods to updat...

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Bibliographic Details
Main Authors: Jackie Pollack, MSc, Wei Yang, PhD, Erin M. Schnellinger, PhD, MS, George J. Arnaoutakis, MD, Michael J. Kallan, MS, Stephen E. Kimmel, MD, MSCE
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:JTCVS Open
Subjects:
clinical prediction model
model updating
model recalibration
surgical aortic valve replacement
dynamic logistic state space model
Online Access:http://www.sciencedirect.com/science/article/pii/S2666273623001973

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http://www.sciencedirect.com/science/article/pii/S2666273623001973

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