Real world heart failure epidemiology and outcome: a population-based analysis of 88,195 patients

BACKGROUND: Heart failure (HF) is frequent and its prevalence is increasing. We aimed to evaluate the epidemiologic features of HF patients, the 1-year follow-up outcomes and the independent predictors of those outcomes at a population level. METHODS AND RESULTS: Population-based longitudinal study...

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Autores: Farré López, Núria, Vela, Emili, Clèries, Montse, Bustins, Montse, Cainzos-Achirica, Miguel, Enjuanes Grau, Cristina, Moliner Borja, Pedro, Ruiz-Bustillo, Sonia, Verdú-Rotellar, José María, Comín Colet, Josep
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/33995
Acceso en línea:http://hdl.handle.net/10230/33995
http://dx.doi.org/10.1371/journal.pone.0172745
Access Level:acceso abierto
Palabra clave:Infart de miocardi -- Epidemiologia
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spelling Real world heart failure epidemiology and outcome: a population-based analysis of 88,195 patientsFarré López, NúriaVela, EmiliClèries, MontseBustins, MontseCainzos-Achirica, MiguelEnjuanes Grau, CristinaMoliner Borja, PedroRuiz-Bustillo, SoniaVerdú-Rotellar, José MaríaComín Colet, JosepInfart de miocardi -- EpidemiologiaBACKGROUND: Heart failure (HF) is frequent and its prevalence is increasing. We aimed to evaluate the epidemiologic features of HF patients, the 1-year follow-up outcomes and the independent predictors of those outcomes at a population level. METHODS AND RESULTS: Population-based longitudinal study including all prevalent HF cases in Catalonia (Spain) on December 31st, 2012. Patients were divided in 3 groups: patients without a previous HF hospitalization, patients with a remote (>1 year) HF hospitalization and patients with a recent (<1 year) HF admission. We analyzed 1year all-cause and HF hospitalizations, and all-cause mortality. Logistic regression was used to identify the independent predictors of each of those outcomes. A total of 88,195 patients were included. Mean age was 77 years, 55% were women. Comorbidities were frequent. Fourteen percent of patients had never been hospitalized, 71% had a remote HF hospitalization and 15% a recent hospitalization. At 1-year follow-up, all-cause and HF hospitalization were 53% and 8.8%, respectively. One-year all-cause mortality rate was 14%, and was higher in patients with a recent HF hospitalization (24%). The presence of diabetes mellitus, atrial fibrillation or chronic kidney disease was independently associated with all-cause and HF hospitalization and all-cause mortality. Hospital admissions and emergency department visits the previous year were also found to be independently associated with the three study outcomes. CONCLUSIONS: Outcomes are different depending on the HF population studied. Some comorbidity, an all-cause hospitalization or emergency department visit the previous year were associated with a worse outcome.Public Library of Science (PLoS)201820182017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/33995http://dx.doi.org/10.1371/journal.pone.0172745reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésPLoS One. 2017 Feb 24;12(2):e0172745© 2017 Farré et al. This is an open access article distributed under the terms of the https://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are creditedinfo:eu-repo/semantics/openAccessoai:recercat.cat:10230/339952026-05-29T05:05:01Z
dc.title.none.fl_str_mv Real world heart failure epidemiology and outcome: a population-based analysis of 88,195 patients
title Real world heart failure epidemiology and outcome: a population-based analysis of 88,195 patients
spellingShingle Real world heart failure epidemiology and outcome: a population-based analysis of 88,195 patients
Farré López, Núria
Infart de miocardi -- Epidemiologia
title_short Real world heart failure epidemiology and outcome: a population-based analysis of 88,195 patients
title_full Real world heart failure epidemiology and outcome: a population-based analysis of 88,195 patients
title_fullStr Real world heart failure epidemiology and outcome: a population-based analysis of 88,195 patients
title_full_unstemmed Real world heart failure epidemiology and outcome: a population-based analysis of 88,195 patients
title_sort Real world heart failure epidemiology and outcome: a population-based analysis of 88,195 patients
dc.creator.none.fl_str_mv Farré López, Núria
Vela, Emili
Clèries, Montse
Bustins, Montse
Cainzos-Achirica, Miguel
Enjuanes Grau, Cristina
Moliner Borja, Pedro
Ruiz-Bustillo, Sonia
Verdú-Rotellar, José María
Comín Colet, Josep
author Farré López, Núria
author_facet Farré López, Núria
Vela, Emili
Clèries, Montse
Bustins, Montse
Cainzos-Achirica, Miguel
Enjuanes Grau, Cristina
Moliner Borja, Pedro
Ruiz-Bustillo, Sonia
Verdú-Rotellar, José María
Comín Colet, Josep
author_role author
author2 Vela, Emili
Clèries, Montse
Bustins, Montse
Cainzos-Achirica, Miguel
Enjuanes Grau, Cristina
Moliner Borja, Pedro
Ruiz-Bustillo, Sonia
Verdú-Rotellar, José María
Comín Colet, Josep
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Infart de miocardi -- Epidemiologia
topic Infart de miocardi -- Epidemiologia
description BACKGROUND: Heart failure (HF) is frequent and its prevalence is increasing. We aimed to evaluate the epidemiologic features of HF patients, the 1-year follow-up outcomes and the independent predictors of those outcomes at a population level. METHODS AND RESULTS: Population-based longitudinal study including all prevalent HF cases in Catalonia (Spain) on December 31st, 2012. Patients were divided in 3 groups: patients without a previous HF hospitalization, patients with a remote (>1 year) HF hospitalization and patients with a recent (<1 year) HF admission. We analyzed 1year all-cause and HF hospitalizations, and all-cause mortality. Logistic regression was used to identify the independent predictors of each of those outcomes. A total of 88,195 patients were included. Mean age was 77 years, 55% were women. Comorbidities were frequent. Fourteen percent of patients had never been hospitalized, 71% had a remote HF hospitalization and 15% a recent hospitalization. At 1-year follow-up, all-cause and HF hospitalization were 53% and 8.8%, respectively. One-year all-cause mortality rate was 14%, and was higher in patients with a recent HF hospitalization (24%). The presence of diabetes mellitus, atrial fibrillation or chronic kidney disease was independently associated with all-cause and HF hospitalization and all-cause mortality. Hospital admissions and emergency department visits the previous year were also found to be independently associated with the three study outcomes. CONCLUSIONS: Outcomes are different depending on the HF population studied. Some comorbidity, an all-cause hospitalization or emergency department visit the previous year were associated with a worse outcome.
publishDate 2017
dc.date.none.fl_str_mv 2017
2018
2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/33995
http://dx.doi.org/10.1371/journal.pone.0172745
url http://hdl.handle.net/10230/33995
http://dx.doi.org/10.1371/journal.pone.0172745
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv PLoS One. 2017 Feb 24;12(2):e0172745
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Public Library of Science (PLoS)
publisher.none.fl_str_mv Public Library of Science (PLoS)
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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