Baseline and Dynamic Risk Predictors of Appropriate Implantable Cardioverter Defibrillator Therapy

BACKGROUND: Current approaches fail to separate patients at high versus low risk for ventricular arrhythmias owing to overreliance on a snapshot left ventricular ejection fraction measure. We used statistical machine learning to identify important cardiac imaging and time‐varying risk predictors. ME...

Descripción completa

Detalles Bibliográficos
Autores principales: Wu, Katherine C., Wongvibulsin, Shannon, Tao, Susumu, Ashikaga, Hiroshi, Stillabower, Michael, Dickfeld, Timm M., Marine, Joseph E., Weiss, Robert G., Tomaselli, Gordon F., Zeger, Scott L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7763383/
https://www.ncbi.nlm.nih.gov/pubmed/33023350
http://dx.doi.org/10.1161/JAHA.120.017002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7763383/
https://www.ncbi.nlm.nih.gov/pubmed/33023350
http://dx.doi.org/10.1161/JAHA.120.017002

Ejemplares similares