Treatment response to spironolactone in patients with heart failure with preserved ejection fraction: a machine learning-based analysis of two randomized controlled trials

BACKGROUND: Whether there is a subset of patients with heart failure with preserved ejection fraction (HFpEF) that benefit from spironolactone therapy is unclear. We applied a machine learning approach to identify responders and non-responders to spironolactone among patients with HFpEF in two large...

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Detalles Bibliográficos
Autores principales: Kresoja, Karl-Patrik, Unterhuber, Matthias, Wachter, Rolf, Rommel, Karl-Philipp, Besler, Christian, Shah, Sanjiv, Thiele, Holger, Edelmann, Frank, Lurz, Philipp
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10498181/
https://www.ncbi.nlm.nih.gov/pubmed/37689023
http://dx.doi.org/10.1016/j.ebiom.2023.104795

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10498181/
https://www.ncbi.nlm.nih.gov/pubmed/37689023
http://dx.doi.org/10.1016/j.ebiom.2023.104795

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