Observational studyPLoS medicine2018
Multimorbidity and survival for patients with acute myocardial infarction in England and Wales: Latent class analysis of a nationwide population-based cohort.
Observational study in PLoS medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03037255 (Association of Long-term Conditions With Survival Following Acute Myocardial Infarction in England and Wales), which is not on this map. Cited by 61 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Association of Long-term Conditions With Survival Following Acute Myocardial Infarction in England and Wales
Who cites it
61 citing papers in PubMed, 1 synthesis or guideline pooled it, 127 citations in OpenAlex.
- Multimorbidity in Patients With Acute Coronary Syndrome Is Associated With Greater Mortality, Higher Readmission Rates, and Increased Length of Stay: A Systematic Review.The Journal of cardiovascular nursingPooled it
- Article
- Spatial Epidemiology of the Ischemic Heart Disease-Asthma Comorbidity: A Global Analysis of Burden Patterns, Risk Drivers, and a Composite Risk Index.Risk management and healthcare policy · 2026Article
- Long-term accrual of conditions following myocardial infarction: a study of disease trajectories in the Wales Multimorbidity e-Cohort.BMC medicine · 2025Article
- The quality of care and long-term mortality of patients with ST-elevation myocardial infarction and cardiac devices: a nationwide cohort study.European heart journal open · 2025Article
- Subgrouping patients with ischemic heart disease by means of the Markov cluster algorithm.Communications medicine · 2025Article
- Cluster and survival analysis of UK biobank data reveals associations between physical multimorbidity clusters and subsequent depression.Communications medicine · 2025Article
- Spatial Analysis of patterns of Multimorbidity in the Thai Cohort Study Using Latent Class Analysis.Journal of epidemiology and global health · 2025Article
- Associations between multimorbidity and unintentional falls among older adults with coronary heart disease.Frontiers in public health · 2025Article
- Impact of multimorbidity on risk stratification and prognosis in elderly patients after acute myocardial infarction.Journal of thoracic disease · 2024Article
- Article
- A Comparison of Interpretable Machine Learning Approaches to Identify Outpatient Clinical Phenotypes Predictive of First Acute Myocardial Infarction.Diagnostics (Basel, Switzerland) · 2024Article
- A Multimorbidity Analysis of Hospitalized Patients With COVID-19 in Northwest Italy: Longitudinal Study Using Evolutionary Machine Learning and Health Administrative Data.JMIR public health and surveillance · 2024Article
- Article
- Determinants of multimorbidity in older adults in Iran: a cross-sectional study using latent class analysis on the Bushehr Elderly Health (BEH) program.BMC geriatrics · 2024Article
- Impact of multimorbidity patterns on outcomes and treatment in patients with coronary artery disease.European heart journal open · 2024Article
- Multimorbidity and mortality among older patients with coronary heart disease in Shenzhen, China.Journal of geriatric cardiology : JGC · 2024Article
- Multimorbidity impacts cardiovascular disease risk following percutaneous coronary intervention: latent class analysis of the Melbourne Interventional Group (MIG) registry.BMC cardiovascular disorders · 2024Article
- Impact of multiple long term conditions on hospital admission and mortality during winter: importance of linked, population scale healthcare data.BMJ medicine · 2024Article
- Prognostic value of pulmonary hypertension with a nomogram in acute myocardial infarction patients with reduced left ventricular function.Frontiers in cardiovascular medicine · 2024Article
1 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 7 institutions in 3 countries.
Funding
Abstract
backgroundThere is limited knowledge of the scale and impact of multimorbidity for patients who have had an acute myocardial infarction (AMI). Therefore, this study aimed to determine the extent to which multimorbidity is associated with long-term survival following AMI. METHODS AND
findingsThis national observational study included 693,388 patients (median age 70.7 years, 452,896 [65.5%] male) from the Myocardial Ischaemia National Audit Project (England and Wales) who were admitted with AMI between 1 January 2003 and 30 June 2013. There were 412,809 (59.5%) patients with multimorbidity at the time of admission with AMI, i.e., having at least 1 of the following long-term health conditions: diabetes, chronic obstructive pulmonary disease or asthma, heart failure, renal failure, cerebrovascular disease, peripheral vascular disease, or hypertension. Those with heart failure, renal failure, or cerebrovascular disease had the worst outcomes (39.5 [95% CI 39.0-40.0], 38.2 [27.7-26.8], and 26.6 [25.2-26.4] deaths per 100 person-years, respectively). Latent class analysis revealed 3 multimorbidity phenotype clusters: (1) a high multimorbidity class, with concomitant heart failure, peripheral vascular disease, and hypertension, (2) a medium multimorbidity class, with peripheral vascular disease and hypertension, and (3) a low multimorbidity class. Patients in class 1 were less likely to receive pharmacological therapies compared with class 2 and 3 patients (including aspirin, 83.8% versus 87.3% and 87.2%, respectively; β-blockers, 74.0% versus 80.9% and 81.4%; and statins, 80.6% versus 85.9% and 85.2%). Flexible parametric survival modelling indicated that patients in class 1 and class 2 had a 2.4-fold (95% CI 2.3-2.5) and 1.5-fold (95% CI 1.4-1.5) increased risk of death and a loss in life expectancy of 2.89 and 1.52 years, respectively, compared with those in class 3 over the 8.4-year follow-up period. The study was limited to all-cause mortality due to the lack of available cause-specific mortality data. However, we isolated the disease-specific association with mortality by providing the loss in life expectancy following AMI according to multimorbidity phenotype cluster compared with the general age-, sex-, and year-matched population.
conclusionsMultimorbidity among patients with AMI was common, and conferred an accumulative increased risk of death. Three multimorbidity phenotype clusters that were significantly associated with loss in life expectancy were identified and should be a concomitant treatment target to improve cardiovascular outcomes.
trial registrationClinicalTrials.gov NCT03037255.
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