Multimorbidity patterns in patients with heart failure: an observational Spanish study based on electronic health records

Objectives To characterise the comorbidities of heart failure (HF) in men and women, to explore their clustering into multimorbidity patterns, and to measure the impact of such patterns on the risk of hospitalisation and mortality.Design Observational retrospective population study based on electron...

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Published in:BMJ Open
Main Authors: Antonio Gimeno-Miguel, Anyuli Gracia Gutiérrez, Beatriz Poblador-Plou, Carlos Coscollar-Santaliestra, J Ignacio Pérez-Calvo, Miguel J Divo, Amaia Calderón-Larrañaga, Alexandra Prados-Torres, Fernando J Ruiz-Laiglesia
Format: Article
Language:English
Published: BMJ Publishing Group 2019-12-01
Online Access:https://bmjopen.bmj.com/content/9/12/e033174.full
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author Antonio Gimeno-Miguel
Anyuli Gracia Gutiérrez
Beatriz Poblador-Plou
Carlos Coscollar-Santaliestra
J Ignacio Pérez-Calvo
Miguel J Divo
Amaia Calderón-Larrañaga
Alexandra Prados-Torres
Fernando J Ruiz-Laiglesia
author_facet Antonio Gimeno-Miguel
Anyuli Gracia Gutiérrez
Beatriz Poblador-Plou
Carlos Coscollar-Santaliestra
J Ignacio Pérez-Calvo
Miguel J Divo
Amaia Calderón-Larrañaga
Alexandra Prados-Torres
Fernando J Ruiz-Laiglesia
author_sort Antonio Gimeno-Miguel
collection DOAJ
container_title BMJ Open
description Objectives To characterise the comorbidities of heart failure (HF) in men and women, to explore their clustering into multimorbidity patterns, and to measure the impact of such patterns on the risk of hospitalisation and mortality.Design Observational retrospective population study based on electronic health records.Setting EpiChron Cohort (Aragón, Spain).Participants All the primary and hospital care patients of the EpiChron Cohort with a diagnosis of HF on 1 January 2011 (ie, 8488 women and 6182 men). We analysed all the chronic diseases registered in patients’ electronic health records until 31 December 2011.Primary outcome We performed an exploratory factor analysis to identify the multimorbidity patterns in men and women, and logistic and Cox proportional-hazards regressions to investigate the association between the patterns and the risk of hospitalisation in 2012, and of 3-year mortality.Results Almost all HF patients (98%) had multimorbidity, with an average of 7.8 chronic diseases per patient. We identified six different multimorbidity patterns, named cardiovascular, neurovascular, coronary, metabolic, degenerative and respiratory. The most prevalent were the degenerative (64.0%) and cardiovascular (29.9%) patterns in women, and the metabolic (49.3%) and cardiovascular (43.2%) patterns in men. Every pattern was associated with higher hospitalisation risks; and the cardiovascular, neurovascular and respiratory patterns significantly increased the likelihood of 3-year mortality.Conclusions Multimorbidity is the norm rather than the exception in patients with heart failure, whose comorbidities tend to cluster together beyond simple chance in the form of multimorbidity patterns that have different impact on health outcomes. This knowledge could be useful to better understand common pathophysiological pathways underlying this condition and its comorbidities, and the factors influencing the prognosis of men and women with HF. Further large scale longitudinal studies are encouraged to confirm the existence of these patterns as well as their differential impact on health outcomes.
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spelling doaj-art-8ce340508cbd4d2cb71dff6d8e50d5a32025-08-20T01:06:50ZengBMJ Publishing GroupBMJ Open2044-60552019-12-0191210.1136/bmjopen-2019-033174Multimorbidity patterns in patients with heart failure: an observational Spanish study based on electronic health recordsAntonio Gimeno-Miguel0Anyuli Gracia Gutiérrez1Beatriz Poblador-Plou2Carlos Coscollar-Santaliestra3J Ignacio Pérez-Calvo4Miguel J Divo5Amaia Calderón-Larrañaga6Alexandra Prados-Torres7Fernando J Ruiz-Laiglesia82 REDISSEC, Zaragoza, Spain3 Research Group on Heart Failure, IIS Aragón, Internal Medicine Service, Lozano Blesa University Hospital, Zaragoza, Spain1 EpiChron Research Group. IIS Aragón, Aragon Health Sciences Institute, Zaragoza, Spain1 EpiChron Research Group. IIS Aragón, Aragon Health Sciences Institute, Zaragoza, Spain3 Research Group on Heart Failure, IIS Aragón, Internal Medicine Service, Lozano Blesa University Hospital, Zaragoza, Spain6 Pulmonary and Critical Care Division, Brigham and Women`s Hospital, Harvard Medical School, Boston, Massachusetts, USAAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden1 EpiChron Research Group. IIS Aragón, Aragon Health Sciences Institute, Zaragoza, Spain3 Research Group on Heart Failure, IIS Aragón, Internal Medicine Service, Lozano Blesa University Hospital, Zaragoza, SpainObjectives To characterise the comorbidities of heart failure (HF) in men and women, to explore their clustering into multimorbidity patterns, and to measure the impact of such patterns on the risk of hospitalisation and mortality.Design Observational retrospective population study based on electronic health records.Setting EpiChron Cohort (Aragón, Spain).Participants All the primary and hospital care patients of the EpiChron Cohort with a diagnosis of HF on 1 January 2011 (ie, 8488 women and 6182 men). We analysed all the chronic diseases registered in patients’ electronic health records until 31 December 2011.Primary outcome We performed an exploratory factor analysis to identify the multimorbidity patterns in men and women, and logistic and Cox proportional-hazards regressions to investigate the association between the patterns and the risk of hospitalisation in 2012, and of 3-year mortality.Results Almost all HF patients (98%) had multimorbidity, with an average of 7.8 chronic diseases per patient. We identified six different multimorbidity patterns, named cardiovascular, neurovascular, coronary, metabolic, degenerative and respiratory. The most prevalent were the degenerative (64.0%) and cardiovascular (29.9%) patterns in women, and the metabolic (49.3%) and cardiovascular (43.2%) patterns in men. Every pattern was associated with higher hospitalisation risks; and the cardiovascular, neurovascular and respiratory patterns significantly increased the likelihood of 3-year mortality.Conclusions Multimorbidity is the norm rather than the exception in patients with heart failure, whose comorbidities tend to cluster together beyond simple chance in the form of multimorbidity patterns that have different impact on health outcomes. This knowledge could be useful to better understand common pathophysiological pathways underlying this condition and its comorbidities, and the factors influencing the prognosis of men and women with HF. Further large scale longitudinal studies are encouraged to confirm the existence of these patterns as well as their differential impact on health outcomes.https://bmjopen.bmj.com/content/9/12/e033174.full
spellingShingle Antonio Gimeno-Miguel
Anyuli Gracia Gutiérrez
Beatriz Poblador-Plou
Carlos Coscollar-Santaliestra
J Ignacio Pérez-Calvo
Miguel J Divo
Amaia Calderón-Larrañaga
Alexandra Prados-Torres
Fernando J Ruiz-Laiglesia
Multimorbidity patterns in patients with heart failure: an observational Spanish study based on electronic health records
title Multimorbidity patterns in patients with heart failure: an observational Spanish study based on electronic health records
title_full Multimorbidity patterns in patients with heart failure: an observational Spanish study based on electronic health records
title_fullStr Multimorbidity patterns in patients with heart failure: an observational Spanish study based on electronic health records
title_full_unstemmed Multimorbidity patterns in patients with heart failure: an observational Spanish study based on electronic health records
title_short Multimorbidity patterns in patients with heart failure: an observational Spanish study based on electronic health records
title_sort multimorbidity patterns in patients with heart failure an observational spanish study based on electronic health records
url https://bmjopen.bmj.com/content/9/12/e033174.full
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