Combining home monitoring temporal trends from implanted defibrillators and baseline patient risk profile to predict heart failure hospitalizations: results from the SELENE HF study

AIMS: We developed and validated an algorithm for prediction of heart failure (HF) hospitalizations using remote monitoring (RM) data transmitted by implanted defibrillators. METHODS AND RESULTS: The SELENE HF study enrolled 918 patients (median age 69 years, 81% men, median ejection fraction 30%) w...

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Detalles Bibliográficos
Autores principales: D’Onofrio, Antonio, Solimene, Francesco, Calò, Leonardo, Calvi, Valeria, Viscusi, Miguel, Melissano, Donato, Russo, Vitantonio, Rapacciuolo, Antonio, Campana, Andrea, Caravati, Fabrizio, Bonfanti, Paolo, Zanotto, Gabriele, Gronda, Edoardo, Vado, Antonello, Calzolari, Vittorio, Botto, Giovanni Luca, Zecchin, Massimo, Bontempi, Luca, Giacopelli, Daniele, Gargaro, Alessio, Padeletti, Luigi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Clinical Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8824514/
https://www.ncbi.nlm.nih.gov/pubmed/34392336
http://dx.doi.org/10.1093/europace/euab170

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8824514/
https://www.ncbi.nlm.nih.gov/pubmed/34392336
http://dx.doi.org/10.1093/europace/euab170

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