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

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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Detalles Bibliográficos
Autores principales: Pollack, Jackie, Yang, Wei, Schnellinger, Erin M., Arnaoutakis, George J., Kallan, Michael J., Kimmel, Stephen E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Adult: Aortic Valve
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556941/
https://www.ncbi.nlm.nih.gov/pubmed/37808034
http://dx.doi.org/10.1016/j.xjon.2023.07.011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556941/
https://www.ncbi.nlm.nih.gov/pubmed/37808034
http://dx.doi.org/10.1016/j.xjon.2023.07.011

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