Evidence map›Paper›PMID 29253451›Full record

ArticleThe Lancet. Public health2017

Acute myocardial infarction hospital admissions and deaths in England: a national follow-back and follow-forward record-linkage study.

Perviz Asaria, Paul Elliott, Margaret Douglass, Ziad Obermeyer, Michael Soljak, Azeem Majeed, Majid Ezzati

Open access · goldAbstract read
In one paragraph

Article in The Lancet. Public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

52 citing papers in PubMed, 91 citations in OpenAlex.

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  7. Optimising primary care management of patients following acute coronary syndrome.The British journal of general practice : the journal of the Royal College of General Practitioners · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Perviz AsariaDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; Imperial College Healthcare NHS Trust, London, UK.
Paul ElliottDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, Imperial College London, London, UK; Imperial College Healthcare NHS Trust, London, UK.
Margaret DouglassDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, Imperial College London, London, UK.
Ziad ObermeyerDepartment of Emergency Medicine and Health Care Policy, Harvard Medical School, Harvard University, Boston, MA, USA; Department of Emergency Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Michael SoljakDepartment of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK.
Azeem MajeedDepartment of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK.
Majid EzzatiDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, Imperial College London, London, UK. Electronic address: majid.ezzati@imperial.ac.uk.
Imperial College London · GBImperial College Healthcare NHS Trust · GBBrigham and Women's Hospital · US

Funding

Unexpected death after medical encounters: Measurement, reporting, and analysisDP5OD012161 · OD · BRIGHAM AND WOMEN'S HOSPITAL · PI OBERMEYER, ZIAD · 2012 to 2016
$1.6M
Medical Research Council G0801056Medical Research Council MR/L01341X/1Medical Research Council MR/L01632X/1NIH HHS DP5 OD012161Wellcome TrustWellcome Trust 092853/Z/10/Z
6 · The paper itself

Abstract

backgroundLittle information is available on how primary and comorbid acute myocardial infarction contribute to the mortality burden of acute myocardial infarction, the share of these deaths that occur during or after a hospital admission, and the reasons for hospital admission of those who died from acute myocardial infarction. Our aim was to fill in these gaps in the knowledge about deaths and hospital admissions due to acute myocardial infarction.

methodsWe used individually linked national hospital admission and mortality data for England from 2006 to 2010 to identify all primary and comorbid diagnoses of acute myocardial infarction during hospital stay and their associated fatality rates (during or within 28 days of being in hospital). Data were obtained from the UK Small Area Health Statistics Unit and supplied by the Health and Social Care Information Centre (now NHS Digital) and the Office of National Statistics. We calculated event rates (reported as per 100 000 population for relevant age and sex groups) and case-fatality rate for primary acute myocardial infarction diagnosed during the first physician encounter or during subsequent encounters, and acute myocardial infarction diagnosed only as a comorbidity. We also calculated what proportion of deaths from acute myocardial infarction occurred in people who had been in hospital on or within the 28 days preceding death, and whether acute myocardial infarction was one of the recorded diagnoses in such admissions.

findingsAcute myocardial infarction was diagnosed in the first physician encounter in 307 496 (69%) of 446 744 admissions with a diagnosis of acute myocardial infarction, in the second or later physician encounter in 52 374 (12%) admissions, and recorded only as a comorbidity in 86 874 (19%) admissions. Patients with comorbid diagnoses of acute myocardial infarction had two to three times the case-fatality rate of patients in whom acute myocardial infarction was a primary diagnosis. 135 950 deaths were recorded as being caused by acute myocardial infarction as the underlying cause of death, of which 66 490 (49%) occurred in patients who were in hospital on the day of death or in the 28 days preceding death. AMI was the primary diagnosis in 32 695 (49%) of these 66 490 patients (27 678 [42%] diagnosed in the first physician encounter and 5017 [8%] in a second or subsequent encounter), was a comorbid diagnosis in 12 118 (18%), and was not mentioned at all in the remaining 21 677 (33%). The most common causes of admission in people who did not have an acute myocardial infarction diagnosis but went on to die of acute myocardial infarction as the underlying cause of death were other circulatory conditions (7566 [35%] of 21 677 deaths), symptomatic diagnoses including non-specific chest pain, dyspnoea and syncope (1368 [6%] deaths), and respiratory disorders (2662 [12%] deaths), mainly pneumonia and chronic obstructive airways disease.

interpretationAs many acute myocardial infarction deaths occurring within 28 days of being in hospital follow a non-acute myocardial infarction admission as follow an acute myocardial infarction admission. These people are often diagnosed with other circulatory disorders or symptoms of circulatory disturbance. Further investigation is needed to establish whether there are symptoms and information that can be used to predict the risk of a fatal acute myocardial infarction in such patients, which can contribute to reducing the mortality burden of acute myocardial infarction.

fundingWellcome Trust, Medical Research Council, Public Health England, National Institute for Health Research.

Indexed as

Hospital MortalityAdultAgedAged, 80 and overEnglandFemaleHospitalizationHumansMaleMedical Record LinkageMiddle AgedMyocardial Infarction

Identifiers

PMID29253451
PMCPMC6196770
OpenAlexW2591818150

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.