Evidence map›Paper›PMID 41843746›Full record

ArticleEuropean heart journal. Quality of care & clinical outcomes2026

Mental disorders, mortality following myocardial infarction, and the impact of the COVID-19 pandemic in England: a cohort study.

Kelly Fleetwood, John Nolan, Colin Berry, Debbie Cavers, Stewart W Mercer, Sandosh Padmanabhan, Daniel J Smith, Robert Stewart, Amanda Vettini, Caroline A Jackson

Abstract read
In one paragraph

Article in European heart journal. Quality of care & clinical outcomes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Kelly FleetwoodUsher Institute, University of Edinburgh, 5-7 Little France Road, Edinburgh BioQuarter ‒ Gate 3, Edinburgh EH16 4UX, UK.ORCID 0000-0002-1382-3095
John NolanBritish Heart Foundation Data Science Centre, Health Data Research UK, London NW1 2BE, UK.ORCID 0000-0002-5342-0514
Colin BerrySchool of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow G12 8TA, UK.ORCID 0000-0002-4547-8636
Debbie CaversUsher Institute, University of Edinburgh, 5-7 Little France Road, Edinburgh BioQuarter ‒ Gate 3, Edinburgh EH16 4UX, UK.ORCID 0000-0002-5419-6331
Stewart W MercerUsher Institute, University of Edinburgh, 5-7 Little France Road, Edinburgh BioQuarter ‒ Gate 3, Edinburgh EH16 4UX, UK.ORCID 0000-0002-1703-3664
Sandosh PadmanabhanSchool of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow G12 8TA, UK.ORCID 0000-0003-3869-5808
Daniel J SmithInstitute of Neuroscience and Cardiovascular Research, University of Edinburgh, Edinburgh EH16 4SB, UK.ORCID 0000-0002-2267-1951
Robert StewartDepartment of Psychological Medicine, King's College London, London SE5 8AF, UK.ORCID 0000-0002-4435-6397
Amanda VettiniUsher Institute, University of Edinburgh, 5-7 Little France Road, Edinburgh BioQuarter ‒ Gate 3, Edinburgh EH16 4UX, UK.ORCID 0000-0002-7576-1360
Caroline A JacksonUsher Institute, University of Edinburgh, 5-7 Little France Road, Edinburgh BioQuarter ‒ Gate 3, Edinburgh EH16 4UX, UK.ORCID 0000-0002-2067-2811

Funding

British Heart Foundation Data Science Centre SP/19/3/34678Chief Scientist Office Scotland HIPS/21/48Health Data ResearchUK Mental Health Platform MR/Z000548/1UKRI-funded University of Edinburgh Hub for Metabolic Psychiatry MR/Z503563/1
6 · The paper itself

Abstract

aimsPeople with schizophrenia experience poorer cardiovascular disease (CVD) outcomes, but other mental disorders have been little studied. We compared post-myocardial infarction (MI) mortality by mental disorder, explored whether differences in care contributed to mortality disparities, and investigated whether disparities worsened during the COVID-19 pandemic. METHODS AND

resultsWe identified people with MI in England (November 2019-February 2023) from the Myocardial Ischaemia National Audit Programme, ascertaining mental disorder diagnoses from linked electronic health records and mortality from national death records. We used logistic regression to compare 30-day and one-year mortality between people with each of schizophrenia, bipolar disorder, or depression (of any severity) vs. those without these disorders for ST-elevation MI (STEMI) and non-STEMI (NSTEMI), adjusting for confounders and investigating differences by calendar time period. For one-year mortality, we additionally adjusted for receipt of guideline-informed care. We included 131 075 patients with NSTEMI and 79 045 with STEMI. For NSTEMI, schizophrenia [odds ratio (OR) 1.73, 95% CI 1.20-2.49] and depression (1.17, 1.08-1.26) were associated with higher 30-day mortality. For STEMI, 30-day mortality was higher in people with schizophrenia (1.61, 1.09-2.37), bipolar disorder (1.68, 1.08-2.59), and depression (1.10, 1.01-1.20). All disorders were associated with higher one-year mortality following NSTEMI and STEMI, with adjustment for care attenuating estimates. Relative mortality disparities were generally unaffected by the COVID-19 pandemic.

conclusionOur findings highlight the increased risk of post-MI mortality in people with mental disorders. Improved implementation of acute cardiac care standards may help to close the gap.

Indexed as

COVID-19Mental DisordersMyocardial InfarctionAgedCohort StudiesEnglandFemaleHumansMaleMiddle AgedSARS-CoV-2Schizophrenia

Identifiers

PMID41843746
PMCPMC13457930

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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.