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The OMI Paradigm

As the maintainer of this educational website on troponin, I would like to acknowledge the important contributions of Drs. Stephen W. Smith and H. Pendell Meyers, together with their collaborators, in pioneering and testing the Occlusion Myocardial Infarction (OMI) paradigm.

Their work has drawn attention to a limitation of the conventional STEMI/NSTEMI classification: some patients with acute coronary occlusion do not meet traditional ST-segment elevation criteria, potentially delaying recognition and reperfusion. The proposed OMI/NOMI framework emphasizes identifying patients with an acute coronary occlusion or flow-limiting culprit lesion associated with ongoing myocardial ischemia, rather than relying on ST-elevation thresholds alone.

Building on years of research in electrocardiography, the OMI research community has investigated subtler ECG manifestations of acute coronary occlusion, including hyperacute T waves, reciprocal changes, posterior infarction patterns, and findings in the setting of conduction abnormalities. This work has also contributed to the development of Queen of Hearts, an artificial intelligence–based ECG interpretation model developed by Powerful Medical in collaboration with Smith, Meyers, and other researchers.

Although cardiac troponin is central to diagnosing myocardial injury and infarction, troponin elevation alone does not establish the presence of acute coronary occlusion or the need for immediate reperfusion. Moreover, troponin concentrations may remain below diagnostic thresholds early in the course of an evolving infarction. Timely assessment therefore requires integrating biomarkers with the clinical presentation, ECG, and other diagnostic findings.

The OMI paradigm has generated considerable research and educational interest. Its implications for clinical practice continue to be evaluated, including whether OMI-guided diagnostic and treatment pathways improve patient outcomes. The following resources are provided for readers interested in understanding the origins, supporting evidence, practical applications, and ongoing development of this approach.

Selected educational resources and publications

Each resource carries a citation tag: click it for the full reference and links.

Origins and clinical evidence

  1. The OMI Manifesto (2018) — H. Pendell Meyers, Scott Weingart, and Stephen W. Smith. One of the foundational statements proposing the OMI/NOMI framework as an alternative to the traditional STEMI/NSTEMI distinction. It outlines the authors' rationale for focusing on acute coronary occlusion and the potential need for urgent reperfusion, including in patients who do not meet conventional STEMI criteria.

  2. From ST-Segment Elevation MI to Occlusion MI: The New Paradigm Shift in Acute Myocardial Infarction (2024) — McLaren, de Alencar, Aslanger, Meyers, and Smith; JACC: Advances. A comprehensive, open-access state-of-the-art review tracing the history of myocardial infarction classification, summarizing the evidence underlying the OMI paradigm, and discussing its implications for ECG interpretation, clinical decision-making, and AI-assisted diagnosis. An excellent starting point for readers seeking a scientific overview.

  3. The DIFOCCULT Study (2020) — Aslanger and colleagues; IJC Heart & Vasculature. An influential observational study examining whether ECG interpretation incorporating findings beyond traditional ST-elevation criteria can better identify acute coronary occlusion. It found that a subset of patients initially classified as NSTEMI had ECG findings suggestive of occlusion and experienced less favorable outcomes.

  4. Comparison of the STEMI/NSTEMI and OMI/NOMI Paradigms (2021) — Meyers and colleagues; Journal of Emergency Medicine. A clinical study directly comparing the two classification approaches. It illustrates how some patients with OMI may not meet STEMI criteria, despite having significant myocardial injury and experiencing delays to coronary angiography.

ECG education and case-based learning

  1. Dr. Smith's ECG Blog — A longstanding educational resource featuring real-world ECG cases, clinical histories, coronary angiographic findings, and detailed discussions of ECG interpretation. Many cases demonstrate subtle findings of acute coronary occlusion or distinguish ischemic ECG patterns from their mimics. Particularly valuable for clinicians wishing to improve ECG pattern recognition through repeated case exposure.

  2. Recognizing Electrocardiographically Subtle OMI: Ten Steps to or Away From the Cath Lab (2021) — Aslanger, Meyers, and Smith; Türk Kardiyoloji Derneği Arşivi. A practical review offering a systematic approach to recognizing subtle ECG signs of coronary occlusion and differentiating them from nonischemic conditions. It provides a useful framework for approaching ECGs that do not fulfill conventional STEMI criteria.

  3. OMI Pocket Guide — Created by Dr. Mark Hellerman and subsequently expanded with additional case curation, this interactive educational resource organizes ECG examples by diagnostic pattern. Each section combines representative ECGs, brief clinical explanations, and links to original cases or supporting literature. Particularly useful for developing visual pattern recognition and distinguishing OMI from common mimics.

  4. OMI ECG Quizzes — Interactive quizzes hosted through Dr. Smith's ECG Blog, with questions at several difficulty levels. Readers can test their ability to recognize OMI patterns, assess subtle ECG findings, and compare their interpretations with the Queen of Hearts AI model.

  5. OMI Literature Timeline and OMI Facts and References — Collections maintained by the authors and contributors to Dr. Smith's ECG Blog. The timeline traces the development of the OMI concept and associated publications, while the reference collection summarizes frequently cited findings and their supporting literature. These are useful starting points for exploring the research in greater detail, recognizing that they are curated from the perspective of OMI proponents.

Artificial intelligence and Queen of Hearts

  1. Queen of Hearts — Powerful Medical — The official website describing Queen of Hearts, an AI-based system designed to identify ECG findings associated with acute coronary occlusion, including patterns that may not satisfy conventional STEMI criteria. The site provides information on its development, intended clinical applications, regulatory status, and ongoing research.

  2. International Evaluation of an AI-Powered ECG Model Detecting Acute Coronary Occlusion MI (2024) — Herman, Meyers, Smith, and colleagues; European Heart Journal – Digital Health. An early multicenter validation study of the AI model underlying Queen of Hearts. The study compared its diagnostic performance against conventional STEMI criteria and expert ECG interpretation, finding improved sensitivity over STEMI criteria in the evaluated cohort. It provides a scientific introduction to both the potential and limitations of AI-assisted OMI detection.

A note on clinical interpretation

The resources above reflect an influential and evolving area of cardiovascular research. The OMI/NOMI framework has not formally replaced the STEMI/NSTEMI classification in major clinical practice guidelines, although recognition of coronary occlusion patterns beyond conventional ST-elevation criteria is increasingly emphasized.

Neither advanced ECG interpretation nor AI-assisted classification should be considered a substitute for clinical assessment, serial testing when indicated, or established management pathways. Ongoing prospective research will help clarify how these approaches can best be incorporated into clinical care.

These links are shared in appreciation of the investigators' educational and scientific contributions and to encourage further learning and critical appraisal.