Evidence map›Paper›PMID 33711079›Full record

ArticlePloS one2021

Troponin elevation pattern and subsequent cardiac and non-cardiac outcomes: Implementing the Fourth Universal Definition of Myocardial Infarction and high-sensitivity troponin at a population level.

Anthony Ming-Yu Chuang, Mau T Nguyen, Ehsan Khan, Dylan Jones, Matthew Horsfall, Sam Lehman, Nathaniel R Smilowitz, Kristina Lambrakis, Martin Than, Julian Vaile and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
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

13 authors at 4 institutions in 3 countries.

Anthony Ming-Yu ChuangCollege of Medicine and Public Health, Flinders University of South Australia, Adelaide, Australia.ORCID 0000-0001-9898-9782
Mau T NguyenCollege of Medicine and Public Health, Flinders University of South Australia, Adelaide, Australia.
Ehsan KhanCollege of Medicine and Public Health, Flinders University of South Australia, Adelaide, Australia.
Dylan JonesCollege of Medicine and Public Health, Flinders University of South Australia, Adelaide, Australia.
Matthew HorsfallCollege of Medicine and Public Health, Flinders University of South Australia, Adelaide, Australia.
Sam LehmanCollege of Medicine and Public Health, Flinders University of South Australia, Adelaide, Australia.
Nathaniel R SmilowitzDivision of Cardiology, Department of Medicine, New York University School of Medicine, New York City, New York, United States of America.
Kristina LambrakisCollege of Medicine and Public Health, Flinders University of South Australia, Adelaide, Australia.
Martin ThanDepartment of Emergency Medicine, Christchurch Hospital, Christchurch, New Zealand.
Julian VaileCollege of Medicine and Public Health, Flinders University of South Australia, Adelaide, Australia.
Ajay SinhalCollege of Medicine and Public Health, Flinders University of South Australia, Adelaide, Australia.
John K FrenchSouth Western Sydney Clinical School, University of New South Wales, Sydney, Australia.ORCID 0000-0002-9460-2621
Derek P ChewCollege of Medicine and Public Health, Flinders University of South Australia, Adelaide, Australia.
Flinders University · AUChristchurch Hospital · NZNew York University · USUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Fourth Universal Definition of Myocardial Infarction (MI) differentiates MI from myocardial injury. We characterised the temporal course of cardiac and non-cardiac outcomes associated with MI, acute and chronic myocardial injury.

methodsWe included all patients presenting to public emergency departments in South Australia between June 2011-Sept 2019. Episodes of care (EOCs) were classified into 5 groups based on high-sensitivity troponin-T (hs-cTnT) and diagnostic codes: 1) Acute MI [rise/fall in hs-cTnT and primary diagnosis of acute coronary syndrome], 2) Acute myocardial injury with coronary artery disease (CAD) [rise/fall in hs-cTnT and diagnosis of CAD], 3) Acute myocardial injury without CAD [rise/fall in hs-cTnT without diagnosis of CAD], 4) Chronic myocardial injury [elevated hs-cTnT without rise/fall], and 5) No myocardial injury. Multivariable flexible parametric models were used to characterize the temporal hazard of death, MI, heart failure (HF), and ventricular arrhythmia.

results372,310 EOCs (218,878 individuals) were included: acute MI (19,052 [5.12%]), acute myocardial injury with CAD (6,928 [1.86%]), acute myocardial injury without CAD (32,231 [8.66%]), chronic myocardial injury (55,056 [14.79%]), and no myocardial injury (259,043 [69.58%]). We observed an early hazard of MI and HF after acute MI and acute myocardial injury with CAD. In contrast, subsequent MI risk was lower and more constant in patients with acute injury without CAD or chronic injury. All patterns of myocardial injury were associated with significantly higher risk of all-cause mortality and ventricular arrhythmia.

conclusionsDifferent patterns of myocardial injury were associated with divergent profiles of subsequent cardiac and non-cardiac risk. The therapeutic approach and modifiability of such excess risks require further research.

Indexed as

Acute Coronary SyndromeAdultAgedAged, 80 and overArrhythmias, CardiacChronic DiseaseDisease-Free SurvivalFemaleFollow-Up StudiesHeart FailureHumansMaleMiddle AgedMyocardial InfarctionRisk FactorsSurvival RateTroponin T

Identifiers

PMID33711079
PMCPMC7954292
OpenAlexW3133999846

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.