Evidence map›Paper›PMID 29502083›Full record

ArticleBMJ open2018

An electronic health records cohort study on heart failure following myocardial infarction in England: incidence and predictors.

Johannes M I H Gho, Amand F Schmidt, Laura Pasea, Stefan Koudstaal, Mar Pujades-Rodriguez, Spiros Denaxas, Anoop D Shah, Riyaz S Patel, Chris P Gale, Arno W Hoes and 3 more

Erratum issuedAbstract readComparative Study
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  19. UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER.Journal of the American Medical Informatics Association : JAMIA · 2019
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Johannes M I H GhoFarr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, London, UK.
Amand F SchmidtDepartment of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0003-1327-0424
Laura PaseaFarr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, London, UK.
Stefan KoudstaalFarr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, London, UK.
Mar Pujades-RodriguezFarr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, London, UK.
Spiros DenaxasFarr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, London, UK.
Anoop D ShahFarr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, London, UK.
Riyaz S PatelFarr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, London, UK.
Chris P GaleMedical Research Council Bioinformatics Centre, Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Arno W HoesJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
John G ClelandNational Heart & Lung Institute, Royal Brompton & Harefield Hospitals, Imperial College London, London, UK.
Harry HemingwayFarr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, London, UK.
Folkert W AsselbergsFarr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, London, UK.

Funding

Arthritis Research UKBritish Heart Foundation FS/14/76/30933Cancer Research UKChief Scientist OfficeDepartment of Health 05/40/04Department of Health RP-PG-0407-10314Medical Research Council G0902393/99558Medical Research Council MC_PC_13041Medical Research Council MR/K006584/1Wellcome TrustWellcome Trust 086091/Z/08/Z
6 · The paper itself

Abstract

objectivesTo investigate the incidence and determinants of heart failure (HF) following a myocardial infarction (MI) in a contemporary cohort of patients with MI using routinely collected primary and hospital care electronic health records (EHRs).

methodsData were used from the CALIBER programme, linking EHRs in England from primary care, hospital admissions, an MI registry and mortality data. Subjects were eligible if they were 18 years or older, did not have a history of HF and survived a first MI. Factors associated with time to HF were examined using Cox proportional hazard models.

resultsOf the 24 479 patients with MI, 5775 (23.6%) developed HF during a median follow-up of 3.7 years (incidence rate per 1000 person-years: 63.8, 95% CI 62.2 to 65.5). Baseline characteristics significantly associated with developing HF were: atrial fibrillation (HR 1.62, 95% CI 1.51 to 1.75), age (per 10 years increase: 1.45, 1.41 to 1.49), diabetes (1.45, 1.35 to 1.56), peripheral arterial disease (1.38, 1.26 to 1.51), chronic obstructive pulmonary disease (1.28, 1.17 to 1.40), greater socioeconomic deprivation (5th vs 1st quintile: 1.27, 1.13 to 1.41), ST-segment elevation MI at presentation (1.19, 1.11 to 1.27) and hypertension (1.16, 1.09 to 1.23). Results were robust to various sensitivity analyses such as competing risk analysis and multiple imputation.

conclusionIn England, one in four survivors of a first MI develop HF within 4 years. This contemporary study demonstrates that patients with MI are at considerable risk of HF. Baseline patient characteristics associated with time until HF were identified, which may be used to target preventive strategies.

Indexed as

AgedAtrial FibrillationBiomarkersCohort StudiesDiabetes MellitusElectronic Health RecordsEnglandFemaleHeart FailureHumansHypertensionIncidenceMaleMiddle AgedMultivariate AnalysisMyocardial InfarctionBiomarkerselectronic health recordsheart failuremyocardial infarction

Identifiers

PMID29502083
PMCPMC5855447

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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.