Evidence map›Paper›PMID 38975590›Full record

ArticleThe Lancet regional health. Europe2024

Adoption of high-sensitivity cardiac troponin for risk stratification of patients with suspected myocardial infarction: a multicentre cohort study.

Michael McDermott, Dorien M Kimenai, Atul Anand, Zen Huang, Andrew Houston, Sophie Williams, Felicity Evison, Suzy Gallier, Catalina Carenzo, Ben Glampson and 10 more

Abstract read
In one paragraph

Article in The Lancet regional health. Europe, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Michael McDermottBritish Heart Foundation (BHF) Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
Dorien M KimenaiBritish Heart Foundation (BHF) Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
Atul AnandBritish Heart Foundation (BHF) Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
Zen HuangUsher Institute, University of Edinburgh, Edinburgh, UK.
Andrew HoustonBart's Health Life Science, Bart's Health NHS Trust, London, UK.
Sophie WilliamsBart's Health Life Science, Bart's Health NHS Trust, London, UK.
Felicity EvisonPIONEER Health Data Hub and NIHR Birmingham Biomedical Research Centre, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.
Suzy GallierPIONEER Health Data Hub and NIHR Birmingham Biomedical Research Centre, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.
Catalina CarenzoImperial Clinical Analytics, Research & Evaluation (iCARE) Secure Data Environment, NIHR Imperial Biomedical Research Centre, St Mary's Hospital, London, UK.
Ben GlampsonImperial Clinical Analytics, Research & Evaluation (iCARE) Secure Data Environment, NIHR Imperial Biomedical Research Centre, St Mary's Hospital, London, UK.
Madina HasanCURE Group, Sheffield Centre for Health and Related Research, The University of Sheffield, Sheffield, UK.
Alexander RobertsonCURE Group, Sheffield Centre for Health and Related Research, The University of Sheffield, Sheffield, UK.
Thomas PhillipsResearch Data Sciences Team, SETT Centre, University Hospital Southampton, Southampton, UK.
Cai DavisResearch Data Sciences Team, SETT Centre, University Hospital Southampton, Southampton, UK.
Elizabeth SapeyPIONEER Health Data Hub and NIHR Birmingham Biomedical Research Centre, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.
Erik MayerImperial Clinical Analytics, Research & Evaluation (iCARE) Secure Data Environment, NIHR Imperial Biomedical Research Centre, St Mary's Hospital, London, UK.
Suzanne MasonCURE Group, Sheffield Centre for Health and Related Research, The University of Sheffield, Sheffield, UK.
Matthew StammersResearch Data Sciences Team, SETT Centre, University Hospital Southampton, Southampton, UK.
Nicholas L MillsBritish Heart Foundation (BHF) Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
HDRUK Regional Linked Data Driven Evidence Network

Funding

British Heart Foundation CH/F/21/90010British Heart Foundation FS/IBSRF/23/25161
6 · The paper itself

Abstract

Background: Guidelines recommend high-sensitivity cardiac troponin to risk stratify patients with possible myocardial infarction and identify those eligible for discharge. Our aim was to evaluate adoption of this approach in practice and to determine whether effectiveness and safety varies by age, sex, ethnicity, or socioeconomic deprivation status. Methods: A multi-centre cohort study was conducted in 13 hospitals across the United Kingdom from November 1st, 2021, to October 31st, 2022. Routinely collected data including high-sensitivity cardiac troponin I or T measurements were linked to outcomes. The primary effectiveness and safety outcomes were the proportion discharged from the Emergency Department, and the proportion dead or with a subsequent myocardial infarction at 30 days, respectively. Patients were stratified using peak troponin concentration as low (<5 ng/L), intermediate (5 ng/L to sex-specific 99th percentile), or high-risk (>sex-specific 99th percentile). Findings: In total 137,881 patients (49% [67,709/137,881] female) were included of whom 60,707 (44%), 42,727 (31%), and 34,447 (25%) were stratified as low-, intermediate- and high-risk, respectively. Overall, 65.8% (39,918/60,707) of low-risk patients were discharged from the Emergency Department, but this varied from 26.8% [2200/8216] to 93.5% [918/982] by site. The safety outcome occurred in 0.5% (277/60,707) and 11.4% (3917/34,447) of patients classified as low- or high-risk, of whom 0.03% (18/60,707) and 1% (304/34,447) had a subsequent myocardial infarction at 30 days, respectively. A similar proportion of male and female patients were discharged (52% [36,838/70,759] Interpretation: Despite high-sensitivity cardiac troponin correctly identifying half of all patients with possible myocardial infarction as being at low risk, only two-thirds of these patients were discharged. Substantial variation in the discharge of patients by age, ethnicity, socioeconomic deprivation, and site was observed identifying important opportunities to improve care. Funding: UK Research and Innovation.

Indexed as

Data linkageHealthcare dataHealthcare outcomesHigh-sensitivity cardiac troponinMyocardial infarction

Identifiers

PMID38975590
PMCPMC11227019

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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.