Evidence map›Paper›PMID 31874886›Full record

Observational studyBMJ open2019

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

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

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
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  14. Heart Failure and Multimorbidity in Asia.Current heart failure reports · 2023
    Review
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  20. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 3 countries.

Antonio Gimeno-MiguelEpiChron Research Group. IIS Aragón, Aragon Health Sciences Institute, Zaragoza, Spain agimenomi.iacs@aragon.es.ORCID 0000-0002-5440-1710
Anyuli Gracia GutiérrezResearch Group on Heart Failure, IIS Aragón, Internal Medicine Service, Lozano Blesa University Hospital, Zaragoza, Spain.
Beatriz Poblador-PlouEpiChron Research Group. IIS Aragón, Aragon Health Sciences Institute, Zaragoza, Spain.
Carlos Coscollar-SantaliestraEpiChron Research Group. IIS Aragón, Aragon Health Sciences Institute, Zaragoza, Spain.
J Ignacio Pérez-CalvoResearch Group on Heart Failure, IIS Aragón, Internal Medicine Service, Lozano Blesa University Hospital, Zaragoza, Spain.
Miguel J DivoPulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Amaia Calderón-LarrañagaAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm University, Stockholm, Sweden.
Alexandra Prados-TorresEpiChron Research Group. IIS Aragón, Aragon Health Sciences Institute, Zaragoza, Spain.
Fernando J Ruiz-LaiglesiaResearch Group on Heart Failure, IIS Aragón, Internal Medicine Service, Lozano Blesa University Hospital, Zaragoza, Spain.
Instituto de Investigación Sanitaria Aragón · ESHospital Clínico Universitario Lozano Blesa · ESBrigham and Women's Hospital · USStockholm University · SEUniversidad de Zaragoza · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo 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.

designObservational retrospective population study based on electronic health records.

settingEpiChron Cohort (Aragón, Spain).

participantsAll 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.

resultsAlmost 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.

conclusionsMultimorbidity 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.

Indexed as

MultimorbidityAdultAgedAged, 80 and overCluster AnalysisElectronic Health RecordsFactor Analysis, StatisticalFemaleHeart FailureHumansMaleMiddle AgedPrevalenceProportional Hazards ModelsRetrospective StudiesSex Distributioncomorbidityheart failurehospitalizationmultimorbiditypatterns

Identifiers

PMID31874886
PMCPMC7008407
OpenAlexW2996906076

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.