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Powerful Medical
5. September 2025
3 min to read

Hyperacute T Waves Are Specific for Occlusion Myocardial Infarction, Even Without Diagnostic St Elevation

Overview


This study aimed to derive and validate a quantitative definition of hyperacute T waves (HATW) by developing the HATW score and evaluating its diagnostic accuracy for identifying acute coronary occlusion in patients with possible ACS but without STEMI criteria.

Published in: The Journal of the American College of Cardiology
Published on: 31 August 2025

Background

Despite no objective definition, hyperacute T waves (HATW) are recommended by the American College of Cardiology as a STEMI equivalent finding, requiring emergent reperfusion.

Methods

We retrospectively evaluated adults with possible ACS across five PCI centers. Exclusions were: lack of pre-angiogram ECG, QRS duration ≥110 ms, and elevated troponin without angiogram. The outcome definition was: myocardial infarction with TIMI 0-1 flow culprit lesion. ECG measures included T wave magnitude (T wave area relative to QRS amplitude) and symmetry (T wave peak-to-end time relative to onset-to-peak time). The HATW score was derived and evaluated on separate groups. The primary analysis was HATW score performance for acute coronary occlusion in patients without STEMI criteria.

Results

3,274 patients were reviewed, and 618 were excluded. 1,261 and 1,395 patients were allocated to derivation and validation groups. In derivation the optimal HATW score threshold for ≥ 98% specificity was: 2 consecutive leads with mean HATW score ≥ 0.7. In validation the performance for acute coronary occlusion in the subset without STEMI criteria (N = 1300) was: 98.4% specificity, 20.7% sensitivity, 47.4% PPV, 12.54 LR+. Among patients without STEMI criteria but positive HATW score, 84% had a culprit lesion causing AMI.

Conclusion

The HATW score is the first objective definition of hyperacute T waves showing significant clinical utility as an ECG finding of acute coronary occlusion in potential ACS patients.

Author-Logo_PM
Powerful Medical leads one of the most important shifts in modern medicine by augmenting human-made clinical decisions with artificial intelligence. Our primary focus is on cardiovascular diseases, the world’s leading cause of death.

About PMcardio

PMcardio is a CE-certified AI that reads ECGs and offers a complex assessment of 49 cardiac conditions. Clinically validated in 15+ studies and trusted by over 100,000 clinicians, it delivers rapid, expert‑level interpretations, empowering emergency physicians, GPs, nurses, paramedics, and cardiologists to act with confidence at the point of care. Available for Individuals and Organizations.

About Powerful Medical

Established in 2017, Powerful Medical has embarked on a mission to revolutionize the diagnosis and treatment of cardiovascular diseases. We are a medical company backed by 28 world-class cardiologists and led by our expert Scientific Board with decades of experience in daily patient care, clinical research, and medical devices. The results of our research are implemented, developed, certified, and brought to market by our 50+ strong interdisciplinary team of physicians, data scientists, AI experts, software engineers, regulatory specialists, and commercial teams.

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Relevant Publications

Chest Pain With Subtle But Lifesaving ECG Findings

This study presents a clinical case highlighting the diagnostic value of hyperacute T waves on electrocardiogram (ECG) for early detection of acute coronary occlusion. A 54-year-old woman presented with classic ischemic symptoms, yet her initial ECG was interpreted as normal by both automated analysis and clinician review. Closer inspection revealed subtle hyperacute T waves in the anterior leads, consistent with acute occlusion of the left anterior descending (LAD) artery. The case underscores how reliance on traditional ST-segment elevation criteria alone may delay recognition of life-threatening myocardial infarction.

AI-Enhanced Electrocardiogram for Detection of Occlusive Myocardial Infarction in High-Risk Non–ST-Segment Elevation Acute Coronary Syndrome

This study evaluates an AI-enhanced ECG model for detecting occlusive myocardial infarction (OMI) in patients with high-risk non–ST-segment elevation acute coronary syndrome, using angiography as the reference. The model improved rule-in accuracy with high specificity (78%) and reduced false-positive cath lab activations compared with standard care, while rule-out sensitivity remained limited on the initial ECG. Serial ECG analysis improved detection, supporting the use of AI as a triage aid alongside clinical judgment rather than a standalone diagnostic tool.

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