The chronic heart failure evolutions: Different fates and routes

Abstract Aims Individual prognostic assessment and disease evolution pathways are undefined in chronic heart failure (HF). The application of unsupervised learning methodologies could help to identify patient phenotypes and the progression in each phenotype as well as to assess adverse event risk. M...

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Main Authors: Piergiuseppe Agostoni, Mattia Chiesa, Elisabetta Salvioni, Michele Emdin, Massimo Piepoli, Gianfranco Sinagra, Michele Senni, Alice Bonomi, Stamatis Adamopoulos, Dimitris Miliopoulos, Massimo Mapelli, Jeness Campodonico, Umberto Attanasio, Anna Apostolo, Emanuele Pestrin, Agostino Rossoni, Damiano Magrì, Stefania Paolillo, Ugo Corrà, Rosa Raimondo, Antonio Cittadini, Annamaria Iorio, Andrea Salzano, Rocco Lagioia, Carlo Vignati, Roberto Badagliacca, Pasquale Perrone Filardi, Michele Correale, Enrico Perna, Marco Metra, Gaia Cattadori, Marco Guazzi, Giuseppe Limongelli, Gianfranco Parati, Fabiana De Martino, Maria Vittoria Matassini, Francesco Bandera, Maurizio Bussotti, Federica Re, Carlo M. Lombardi, Angela B. Scardovi, Susanna Sciomer, Andrea Passantino, Caterina Santolamazza, Davide Girola, Claudio Passino, Marlus Karsten, Savina Nodari, Giulio Pompilio, MECKI score research group
Format: Article
Language:English
Published: Wiley 2025-02-01
Series:ESC Heart Failure
Subjects:
Online Access:https://doi.org/10.1002/ehf2.14966