Evidence map›Paper›PMID 40146299›Full record

ReviewCurrent cardiology reports2025

Reevaluating STEMI: The Utility of the Occlusive Myocardial Infarction Classification to Enhance Management of Acute Coronary Syndromes.

Mohammed Ayyad, Maram Albandak, Dhir Gala, Basel Alqeeq, Muath Baniowda, Johann Pally, Joseph Allencherril

Abstract readReview
In one paragraph

Review in Current cardiology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Analysis of Diagnostic Clues in a Rare Case of Ventricular Preexcitation Masking Occlusive Myocardial Infarction of the Left Anterior Descending Artery.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2026
    Article
  9. Review
  10. 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

7 authors.

Mohammed AyyadDepartment of Internal Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA. dr.mohammad.ayyad@gmail.com.ORCID http://orcid.org/0000-0001-9772-2365
Maram AlbandakDepartment of Internal Medicine, University of Toledo, Toledo, OH, USA.
Dhir GalaDepartment of Internal Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA.
Basel AlqeeqFaculty of Medicine, Islamic University of Gaza, Gaza, Palestine.
Muath BaniowdaDepartment of Internal Medicine, University of Missouri-Kansas City, Kansas City, MO, USA.
Johann PallyUniversity of Illinois Urbana Champaign, Urbana, IL, USA.
Joseph AllencherrilUniversity of Texas Medical Branch at Galveston, Galveston, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe current classification of acute myocardial infarction (AMI) into ST-segment elevation myocardial infarction (STEMI) and non-ST-segment elevation myocardial infarction (NSTEMI) has limitations in identifying patients with acute coronary occlusion (ACO) who do not exhibit classic ST-elevation. Emerging evidence suggests that a reclassification to "Occlusive Myocardial Infarction" (OMI) may enhance diagnostic accuracy and therapeutic interventions.

methodsA comprehensive review of the literature was conducted, focusing on the pathophysiology, electrocardiographic (EKG) patterns, and management of ACO. The utility of the OMI paradigm was evaluated against the traditional STEMI/NSTEMI framework, with a particular emphasis on atypical EKG findings and their role in guiding early intervention.

resultsTraditional STEMI criteria fail to identify ACO in approximately 30% of NSTEMI patients, leading to delayed reperfusion and increased mortality. The OMI framework demonstrates improved sensitivity (78.1% vs. 43.6% for STEMI criteria) for detecting ACO by incorporating subtle EKG changes, including hyperacute T-waves, de Winter T-waves, and posterior infarction patterns. OMI-guided management facilitates timely diagnosis and intervention, potentially reducing adverse outcomes. Emerging artificial intelligence (AI) tools further enhance EKG interpretation and clinical decision-making.

conclusionsTransitioning to the OMI paradigm addresses critical gaps in the STEMI/NSTEMI framework by emphasizing the identification of ACO irrespective of ST-segment elevation. This approach could significantly improve patient outcomes by reducing delays in reperfusion therapy. Future randomized trials are needed to validate the OMI paradigm and optimize its implementation in clinical practice.

Indexed as

Acute Coronary SyndromeCoronary OcclusionNon-ST Elevated Myocardial InfarctionST Elevation Myocardial InfarctionElectrocardiographyHumansAcute coronary syndromeCoronary occlusionElectrocardiographyOcclusive myocardial infarctionST-segment elevation

Identifiers

PMID40146299
PMCPMC11950105

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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.