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Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients
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Multimorbidity patterns in patients with heart failure: an observational Spanish study based on electronic health

Antonio Gimeno-Miguel1,2, Anyuli Gracia Gutiérrez3, Beatriz Poblador-Plou4,2

  • 1EpiChron Research Group. IIS Aragón, Aragon Health Sciences Institute, Zaragoza, Spain agimenomi.iacs@aragon.es.

BMJ Open
|December 26, 2019
PubMed

Insights

Heart failure patients commonly have multiple chronic diseases, forming distinct patterns. These multimorbidity patterns significantly increase hospitalization risk and impact mortality, highlighting the need for tailored care strategies.

Area of Science:

  • Cardiology and Public Health
  • Epidemiology of Chronic Diseases

Background:

  • Heart failure (HF) is frequently accompanied by multiple comorbidities.
  • Understanding the clustering of these comorbidities into multimorbidity patterns is crucial for effective patient management.
  • Previous research has not fully characterized these patterns and their impact on HF patient outcomes.

Purpose of the Study:

  • To characterize comorbidities in male and female heart failure patients.
  • To identify distinct multimorbidity patterns within this population.
  • To assess the impact of these patterns on hospitalization and mortality risks.

Main Methods:

  • Retrospective observational study using electronic health records from the EpiChron Cohort.
  • Analysis included 8488 women and 6182 men diagnosed with HF.
  • Exploratory factor analysis and logistic/Cox regression were used to identify patterns and assess outcomes.

Main Results:

  • Nearly all heart failure patients (98%) exhibited multimorbidity, averaging 7.8 chronic diseases.
  • Six multimorbidity patterns were identified: cardiovascular, neurovascular, coronary, metabolic, degenerative, and respiratory.
  • All patterns elevated hospitalization risk; cardiovascular, neurovascular, and respiratory patterns significantly increased 3-year mortality risk.

Conclusions:

  • Multimorbidity is prevalent in heart failure, clustering into distinct patterns.
  • These patterns differentially impact hospitalization and mortality in heart failure patients.
  • Identifying these patterns may improve understanding of HF pathophysiology and prognosis, guiding future research and clinical strategies.
Abstract

Keywords:
comorbidityheart failurehospitalizationmultimorbiditypatterns

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