ArticlePLoS medicine2024
Health outcomes after myocardial infarction: A population study of 56 million people in England.
Article in PLoS medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 26 citations in OpenAlex.
- A systematic review and meta-analyses of glucagon-like peptide-1 receptor agonists in acute myocardial infarction.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2026Review
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- Biological age acceleration predicts mortality and heart failure after acute myocardial infarction in older adults.Journal of geriatric cardiology : JGC · 2026Article
- Myocardial Infarction Without Standard Modifiable Risk Factors From 2025-2040: Forecast Analysis of Multinational, Population-Based Study.JACC. Asia · 2026Article
- Relationship between cardiac troponin and myocardial infarction: a bibliometric analysis.Journal of cardiothoracic surgery · 2026Article
- Cognitive Decline Preceding Incident Cardiovascular Events in Older Adults.JAMA network open · 2026Article
- Reply to: 'The use of β-blockers after myocardial infarction: no doubts remain'.Nature reviews. Cardiology · 2026Article
- Diagnostic accuracy, treatment and prognosis of myocardial infarction: an 11-year follow-up of a community-based cohort of 0.5 million Chinese adults.BMJ public health · 2026Article
- Charlson comorbidity Index for descriptive risk stratification of long-term All-cause mortality in elderly patients with acute myocardial infarction: a retrospective cohort study.Frontiers in cardiovascular medicine · 2026Article
- Milk-Derived Kefir Improves Cardiac Function in Female Rats Subjected to Myocardial Infarction.Journal of nutrition and metabolism · 2026Article
- Safely implementing new knowledge from trials of withholding β-blockers after myocardial infarction.Nature reviews. Cardiology · 2025Article
- Long-term accrual of conditions following myocardial infarction: a study of disease trajectories in the Wales Multimorbidity e-Cohort.BMC medicine · 2025Article
- Association of baseline and changes in health-related quality of life with mortality following myocardial infarction: multicentre longitudinal linked cohort study.European heart journal. Quality of care & clinical outcomes · 2025Article
- Finite Element Modeling in Left Ventricular Cardiac Biomechanics: From Computational Tool to Clinical Practice.Bioengineering (Basel, Switzerland) · 2025Review
- The role of Life's Crucial 9 in cardiovascular disease incidence and dynamic transitions to dementia.Communications medicine · 2025Article
- Observational
- Machine learning models for predicting risks of MACEs for myocardial infarction patients with different VEGFR2 genotypes.Frontiers in medicine · 2024Article
- Impact of multiple long term conditions on hospital admission and mortality during winter: importance of linked, population scale healthcare data.BMJ medicine · 2024Article
- Interactive deep learning for myocardial scar segmentation using cardiovascular magnetic resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic ResonanceArticle
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Authors and funding
8 authors at 3 institutions in 3 countries.
Funding
Abstract
backgroundThe occurrence of a range of health outcomes following myocardial infarction (MI) is unknown. Therefore, this study aimed to determine the long-term risk of major health outcomes following MI and generate sociodemographic stratified risk charts in order to inform care recommendations in the post-MI period and underpin shared decision making. METHODS AND
findingsThis nationwide cohort study includes all individuals aged ≥18 years admitted to one of 229 National Health Service (NHS) Trusts in England between 1 January 2008 and 31 January 2017 (final follow-up 27 March 2017). We analysed 11 non-fatal health outcomes (subsequent MI and first hospitalisation for heart failure, atrial fibrillation, cerebrovascular disease, peripheral arterial disease, severe bleeding, renal failure, diabetes mellitus, dementia, depression, and cancer) and all-cause mortality. Of the 55,619,430 population of England, 34,116,257 individuals contributing to 145,912,852 hospitalisations were included (mean age 41.7 years (standard deviation [SD 26.1]); n = 14,747,198 (44.2%) male). There were 433,361 individuals with MI (mean age 67.4 years [SD 14.4)]; n = 283,742 (65.5%) male). Following MI, all-cause mortality was the most frequent event (adjusted cumulative incidence at 9 years 37.8% (95% confidence interval [CI] [37.6,37.9]), followed by heart failure (29.6%; 95% CI [29.4,29.7]), renal failure (27.2%; 95% CI [27.0,27.4]), atrial fibrillation (22.3%; 95% CI [22.2,22.5]), severe bleeding (19.0%; 95% CI [18.8,19.1]), diabetes (17.0%; 95% CI [16.9,17.1]), cancer (13.5%; 95% CI [13.3,13.6]), cerebrovascular disease (12.5%; 95% CI [12.4,12.7]), depression (8.9%; 95% CI [8.7,9.0]), dementia (7.8%; 95% CI [7.7,7.9]), subsequent MI (7.1%; 95% CI [7.0,7.2]), and peripheral arterial disease (6.5%; 95% CI [6.4,6.6]). Compared with a risk-set matched population of 2,001,310 individuals, first hospitalisation of all non-fatal health outcomes were increased after MI, except for dementia (adjusted hazard ratio [aHR] 1.01; 95% CI [0.99,1.02];p = 0.468) and cancer (aHR 0.56; 95% CI [0.56,0.57];p < 0.001). The study includes data from secondary care only-as such diagnoses made outside of secondary care may have been missed leading to the potential underestimation of the total burden of disease following MI.
conclusionsIn this study, up to a third of patients with MI developed heart failure or renal failure, 7% had another MI, and 38% died within 9 years (compared with 35% deaths among matched individuals). The incidence of all health outcomes, except dementia and cancer, was higher than expected during the normal life course without MI following adjustment for age, sex, year, and socioeconomic deprivation. Efforts targeted to prevent or limit the accrual of chronic, multisystem disease states following MI are needed and should be guided by the demographic-specific risk charts derived in this study.
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