Evidence map›Paper›PMID 34579718›Full record

ArticleBMC medicine2021

Association of multimorbidity and changes in health-related quality of life following myocardial infarction: a UK multicentre longitudinal patient-reported outcomes study.

T Munyombwe, T B Dondo, S Aktaa, C Wilkinson, M Hall, B Hurdus, G Oliver, R M West, A S Hall, C P Gale

2 registry-linked trialsOpen access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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.

NCT01808027 completednot on this map

Evaluation of the Methods and Management of Acute Coronary Events: 3. Investigating Variation in Hospital Acute Coronary Syndrome Outcomes

Typeobservational_patient_registrySponsorUniversity of LeedsRan2011 to 2013Enrolled5,555ConditionsAcute Myocardial Infarction
NCT01819103 completednot on this map

Evaluation of the Methods and Management of Acute Coronary Events-4: Investigating Variation in Hospital Acute Coronary Syndrome Outcomes

Typeobservational_patient_registrySponsorUniversity of LeedsRan2011 to 2013Enrolled5,555ConditionsAcute Myocardial Infarction
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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  9. Embracing the promise of patient reported outcome measures in cardiology.European heart journal. Quality of care & clinical outcomes · 2024
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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

10 authors at 4 institutions in 1 country.

T MunyombweLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK. T.munyombwe@leeds.ac.uk.
T B DondoLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK.
S AktaaLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK.
C WilkinsonPopulation Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
M HallLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK.
B HurdusLeeds Institute for Data Analytics, University of Leeds, Leeds, UK.
G Oliver, Lancashire, UK.
R M WestLeeds Institute of Health Sciences, University of Leeds, Leeds, UK.
A S HallLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK.
C P GaleLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9JT, UK.
University of Leeds · GBLeeds Teaching Hospitals NHS Trust · GBNewcastle University · GBUniversity of Central Lancashire · GB

Funding

British Heart Foundation PG/19/54/34511Department of Health NIHR/CS/009/004
6 · The paper itself

Abstract

backgroundMultimorbidity is prevalent for people with myocardial infarction (MI), yet previous studies investigated single-health conditions in isolation. We identified patterns of multimorbidity in MI survivors and their associations with changes in HRQoL.

methodsIn this national longitudinal cohort study, we analysed data from 9566 admissions with MI from 77 National Health Service hospitals in England between 2011 and 2015. HRQoL was measured using EuroQol 5 dimension (EQ5D) instrument and visual analogue scale (EQVAS) at hospitalisation, 6, and 12 months following MI. Latent class analysis (LCA) of pre-existing long-term health conditions at baseline was used to identify clusters of multimorbidity and associations with changes in HRQoL quantified using mixed effects regression analysis.

resultsOf 9566 admissions with MI (mean age of 64.1 years [SD 11.9], 7154 [75%] men), over half (5119 [53.5%] had multimorbidities. LCA identified 3 multimorbidity clusters which were severe multimorbidity (591; 6.5%) with low HRQoL at baseline (EQVAS 59.39 and EQ5D 0.62) which did not improve significantly at 6 months (EQVAS 59.92, EQ5D 0.60); moderate multimorbidity (4301; 47.6%) with medium HRQoL at baseline (EQVAS 63.08, EQ5D 0.71) and who improved at 6 months (EQVAS 71.38, EQ5D 0.76); and mild multimorbidity (4147, 45.9%) at baseline (EQVAS 64.57, EQ5D 0.75) and improved at 6 months (EQVAS 76.39, EQ5D 0.82). Patients in the severe and moderate groups were more likely to be older, women, and presented with NSTEMI. Compared with the mild group, increased multimorbidity was associated with lower EQ-VAS scores (adjusted coefficient: -5.12 [95% CI -7.04 to -3.19] and -0.98 [-1.93 to -0.04] for severe and moderate multimorbidity, respectively. The severe class was more likely than the mild class to report problems in mobility, OR 9.62 (95% confidence interval: 6.44 to 14.36), self-care 7.87 (4.78 to 12.97), activities 2.41 (1.79 to 3.26), pain 2.04 (1.50 to 2.77), and anxiety/depression 1.97 (1.42 to 2.74).

conclusionsAmong MI survivors, multimorbidity clustered into three distinct patterns and was inversely associated with HRQoL. The identified multimorbidity patterns and HRQoL domains that are mostly affected may help to identify patients at risk of poor HRQoL for which clinical interventions could be beneficial to improve the HRQoL of MI survivors.

trial registrationClinicalTrials.gov NCT01808027 and NCT01819103.

Indexed as

Myocardial InfarctionQuality of LifeFemaleHumansLongitudinal StudiesMaleMiddle AgedMultimorbidityPatient Reported Outcome MeasuresState MedicineUnited KingdomEQ5DHealth-related quality of lifeMultimorbidityMyocardial infarction

Identifiers

PMID34579718
PMCPMC8477511
OpenAlexW3203355491

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.