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 in...

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Main Authors: Núria Farré, Emili Vela, Montse Clèries, Montse Bustins, Miguel Cainzos-Achirica, Cristina Enjuanes, Pedro Moliner, Sonia Ruiz, José María Verdú-Rotellar, Josep Comín-Colet
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5325273?pdf=render
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spelling doaj-16f193c766594dadbd92fec0b17576642020-11-25T01:59:33ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01122e017274510.1371/journal.pone.0172745Real world heart failure epidemiology and outcome: A population-based analysis of 88,195 patients.Núria FarréEmili VelaMontse ClèriesMontse BustinsMiguel Cainzos-AchiricaCristina EnjuanesPedro MolinerSonia RuizJosé María Verdú-RotellarJosep Comín-ColetBACKGROUND: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.http://europepmc.org/articles/PMC5325273?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Núria Farré
Emili Vela
Montse Clèries
Montse Bustins
Miguel Cainzos-Achirica
Cristina Enjuanes
Pedro Moliner
Sonia Ruiz
José María Verdú-Rotellar
Josep Comín-Colet
spellingShingle Núria Farré
Emili Vela
Montse Clèries
Montse Bustins
Miguel Cainzos-Achirica
Cristina Enjuanes
Pedro Moliner
Sonia Ruiz
José María Verdú-Rotellar
Josep Comín-Colet
Real world heart failure epidemiology and outcome: A population-based analysis of 88,195 patients.
PLoS ONE
author_facet Núria Farré
Emili Vela
Montse Clèries
Montse Bustins
Miguel Cainzos-Achirica
Cristina Enjuanes
Pedro Moliner
Sonia Ruiz
José María Verdú-Rotellar
Josep Comín-Colet
author_sort Núria Farré
title Real world heart failure epidemiology and outcome: A population-based analysis of 88,195 patients.
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.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2017-01-01
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.
url http://europepmc.org/articles/PMC5325273?pdf=render
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