Powerful Medical Receives €40 Million IPCEI Grant — read the full story

Powerful Medical
20. April 2025
1 min to read

Precordial Swirl Sign: A New ECG Pattern of Left Anterior Descending Artery Occlusion Myocardial Infarction

Overview

This study identifies the novel “precordial swirl sign,” a distinct ECG pattern that can uncover critical left anterior descending (LAD) coronary artery blockages often missed by standard STEMI criteria. It offers a promising step toward earlier and more accurate detection of high-risk heart attacks.

Published In: Journal of Electrocardiology
Published Date: April 20, 2025

Objective

We sought to describe and evaluate an ECG pattern of left anterior descending (LAD) occlusion for which we have coined the term “precordial swirl.” In this pattern the ECG manifests abnormal ST elevation (STE) and/or hyperacute T waves in V1-V2, with reciprocal STD and/or TWI in V5-V6, creating a clockwise “swirl” pattern in the ST-T shifts of the precordial leads.

Methods

After deriving the characteristics of the precordial swirl pattern from 17 patients with proven acute LAD occlusion, the pattern was evaluated retrospectively using a high-risk population of ED patients with possible ACS symptoms. The primary outcome measures were positive predictive value and specificity for Occlusion MI for each of the developed criteria for precordial swirl sign.

Results

Several criteria were derived based on observations and measurements of the derivation cohort. The validation cohort consisted of 808 patients, of whom 265 had Occlusion MI. Precordial swirl pattern, defined as normal QRS (narrow QRS without LVH) with STD in V5 and/or V6 plus any STE in V1 and/or V2, yielded PPV 42 %, sensitivity 11 %, (95 % CI 8–15 %), and specificity 92 % (95 % CI 90–95 %) for Occlusion MI. When defined as a narrow QRS plus STD in V5/V6 plus T wave to S wave amplitude ratio > 0.40 in V2, precordial swirl pattern yielded PPV 70 %, sensitivity 9 %, specificity 98 %. Of the 23 Occlusion MI patients correctly identified by precordial swirl sign, 19 (83 %) had LAD culprit lesions, and 16 (70 %) were missed by STEMI criteria.

Conclusion

Among high-risk ACS patients in the ED, precordial swirl sign had clinically relevant PPV and specificity for LAD Occlusion MI, including a significant number of patients who are missed by the current STEMI criteria. Further study should be done to validate these findings and improve detection of acute coronary occlusion myocardial infarction.


Authors: Lucas Goss, H. Pendell Meyers, Brandon Friedman, Stephen W. Smith

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.

Share this article

Relevant Publications

Can an AI ECG algorithm improve diagnostic accuracy for acute coronary occlusion in the difficult subset of canceled catheterization lab activations?

Discordance in ECG interpretation between Emergency Medicine and Cardiology teams is common, and within canceled STEMI activations, a true acute coronary occlusion myocardial infarction (OMI) can go unrecognized. This retrospective study examined whether an AI ECG algorithm (Queen of Hearts™) could improve OMI detection in this difficult subset. Across three referral centers, the investigators analyzed 185 activations canceled for not meeting STEMI criteria, of which 17 met the definition of a missed OMI. The AI algorithm identified 16 of 17 cases, far exceeding STEMI criteria in sensitivity (94.1% vs. 47.1%), supporting its use as an adjunct to clinical judgment in ambiguous cases.

Artificial Intelligence-Assisted, ECG-Based Triage of Patients With Chest Pain to Immediate Invasive Treatment

Rapid identification of acute coronary occlusion (ACO) is critical in chest pain patients, yet conventional STEMI criteria miss occlusion in many NSTEMI cases, delaying life-saving invasive treatment. This retrospective study tested whether a deep learning ECG AI model could improve ACO detection in an unselected cohort of more than 4,000 consecutive patients from a German chest pain unit. Each 12-lead ECG was assessed using both standard STEMI criteria and the AI model, with ACO independently adjudicated by a blinded physician. The AI model clearly outperformed STEMI criteria, identifying 73 of 104 ACO cases versus 30 (area under the curve 0.958 vs. 0.589), with fewer false positives. The findings suggest AI-assisted ECG interpretation can detect subtle ischemic changes beyond established criteria and support faster triage of NSTE-ACO patients to immediate invasive care.

Join over 100,000 healthcare professionals who are already taking advantage of AI