Evidence map›Paper›PMID 42291026›Full record

ArticleAmerican journal of preventive cardiology2026

Etiological myocardial injury classification versus binary myocardial infarction classification in the multi-ethnic study of atherosclerosis (MESA).

Shubham Tomar, Karita C F Lidani, Matthew Dekker, Aline A I Moraes, Wendy S Post, Patrick J Trainor, Craig W Johnson, Susan R Heckbert, Roger S Blumenthal, Robyn L McClelland and 4 more

Abstract read
In one paragraph

Article in American journal of preventive cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from 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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Shubham TomarVanderbilt University Medical Center, Nashville, TN, USA.
Karita C F LidaniVanderbilt University Medical Center, Nashville, TN, USA.
Matthew DekkerUniversity of Washington, Seattle, WA, USA.
Aline A I MoraesJefferson Einstein Hospital, Philadelphia, PA, USA.
Wendy S PostJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA.
Patrick J TrainorVirginia Commonwealth University, Richmond, VA, USA.
Craig W JohnsonUniversity of Washington, Seattle, WA, USA.
Susan R HeckbertUniversity of Washington, Seattle, WA, USA.
Roger S BlumenthalJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA.
Robyn L McClellandUniversity of Washington, Seattle, WA, USA.
Yunbi NamVanderbilt University Medical Center, Nashville, TN, USA.
Khurram NasirMethodist DeBakey Heart & Vascular Center, Houston, TX, USA.
Michael J BlahaJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA.
Andrew P DeFilippisVanderbilt University Medical Center, Nashville, TN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prospective cohorts almost exclusively classified acute myocardial injury as a binary entity-presence or absence of myocardial infarction (MI). Objective: To compare Binary Classification of MI used in the Multi-Ethnic Study of Atherosclerosis (MESA) to an Etiological Classification of myocardial injury. Methods: Comparison of two different MI adjudication systems in 6809 participants aged 45-84 years old from MESA, a community-dwelling cohort free of cardiovascular disease at enrollment (2000). The Binary Classification defined events as MI versus "No MI". The Etiological Classification, based on the Fourth Universal Definition of MI, categorized events as MI (types 1-5), acute non-ischemic myocardial injury, chronic myocardial injury, and no myocardial injury. Number and distribution of myocardial infarction/injury events identified by each classification system were compared. Results: Binary Classification identified 333 MI events, while Etiological Classification identified 406 MIs, of which 202 (49.8%) were type 1 MI and 182 (44.8%) were type 2 MI, 22 (5.4%) were other MI types. Notably, 147 events (33 type 1 MI, 105 type 2 MI, 9 other MI types) were newly captured as MI with the Etiological Classification that were classified as No-MI by the Binary Classification. Among the 333 MI identified by the Binary Classification, 51% were type 1 MI ( Conclusions: Etiological Classification identifies additional, etiologically distinct myocardial injury events. Almost half of the events identified as an MI by Binary Classification were identified as type 2 MI or acute non-ischemic myocardial injury by Etiological Classification.

Indexed as

Acute non-ischemic myocardial injuryAdjudicationFourth universal definition of myocardial infarctionMyocardial infarctionMyocardial injuryType 2 myocardial infarction

Identifiers

PMID42291026
PMCPMC13261280

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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.