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Predicting hospital readmissions in older patients with heart failure with advanced bioinformatics tools: focus on the role of vulnerability and frailty

Detalles Bibliográficos
Autores principales: Bertolotti, Marco, Franchi, Carlotta, Lancellotti, Giulia, Mandelli, Sara, Mussi, Chiara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652160/
https://www.ncbi.nlm.nih.gov/pubmed/36149527
http://dx.doi.org/10.1007/s11739-022-03099-2
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author Bertolotti, Marco
Franchi, Carlotta
Lancellotti, Giulia
Mandelli, Sara
Mussi, Chiara
author_facet Bertolotti, Marco
Franchi, Carlotta
Lancellotti, Giulia
Mandelli, Sara
Mussi, Chiara
author_sort Bertolotti, Marco
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spelling pubmed-96521602022-11-15 Predicting hospital readmissions in older patients with heart failure with advanced bioinformatics tools: focus on the role of vulnerability and frailty Bertolotti, Marco Franchi, Carlotta Lancellotti, Giulia Mandelli, Sara Mussi, Chiara Intern Emerg Med Hta-Commentary Springer International Publishing 2022-09-23 2022 /pmc/articles/PMC9652160/ /pubmed/36149527 http://dx.doi.org/10.1007/s11739-022-03099-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Hta-Commentary
Bertolotti, Marco
Franchi, Carlotta
Lancellotti, Giulia
Mandelli, Sara
Mussi, Chiara
Predicting hospital readmissions in older patients with heart failure with advanced bioinformatics tools: focus on the role of vulnerability and frailty
title Predicting hospital readmissions in older patients with heart failure with advanced bioinformatics tools: focus on the role of vulnerability and frailty
title_full Predicting hospital readmissions in older patients with heart failure with advanced bioinformatics tools: focus on the role of vulnerability and frailty
title_fullStr Predicting hospital readmissions in older patients with heart failure with advanced bioinformatics tools: focus on the role of vulnerability and frailty
title_full_unstemmed Predicting hospital readmissions in older patients with heart failure with advanced bioinformatics tools: focus on the role of vulnerability and frailty
title_short Predicting hospital readmissions in older patients with heart failure with advanced bioinformatics tools: focus on the role of vulnerability and frailty
title_sort predicting hospital readmissions in older patients with heart failure with advanced bioinformatics tools: focus on the role of vulnerability and frailty
topic Hta-Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652160/
https://www.ncbi.nlm.nih.gov/pubmed/36149527
http://dx.doi.org/10.1007/s11739-022-03099-2
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