A comprehensive and easy-to-use ECG algorithm to predict the coronary occlusion site in ST-segment elevation
Carlo Gaspardone1, Davide Romagnolo1, Alessandro Fasolino2
1Vita-Salute San Raffaele University, Milan, Italy.
Insights
This study developed a new electrocardiogram (ECG) algorithm to accurately pinpoint the location of artery blockages in ST-segment elevation myocardial infarction (STEMI) patients. The algorithm demonstrated superior diagnostic performance compared to expert physicians in real-world settings.
Area of Science:
- Cardiology
- Medical Diagnostics
- Biomedical Engineering
Background:
- Existing electrocardiogram (ECG) criteria for ST-segment elevation myocardial infarction (STEMI) have limitations in predicting culprit artery occlusion location.
- A need exists for a comprehensive and user-friendly ECG algorithm for precise localization in STEMI patients.
Purpose of the Study:
- To develop and validate a novel, comprehensive ECG algorithm for predicting the infarct-related artery (IRA) and its occlusion level in STEMI patients.
- To assess the algorithm's diagnostic performance in a real-world clinical setting and compare it against expert physician assessments.
Main Methods:
- Analysis of ECG and angiographic data from 419 STEMI patients undergoing primary percutaneous coronary intervention.
- Development of the algorithm using decision-tree analysis on a derivation cohort (>60 published ECG criteria tested).
- Independent validation of the algorithm's diagnostic accuracy in a separate validation cohort.
Main Results:
- The algorithm achieved 88% accuracy in predicting the IRA and 71% accuracy in predicting both IRA and occlusion level (proximal vs. mid-distal) in the derivation cohort.
- In the validation cohort, the algorithm showed 88% IRA prediction accuracy and 67% IRA and occlusion level accuracy.
- The algorithm significantly outperformed expert cardiologists and emergency medicine physicians in identifying the culprit occlusion site (P=.026 and P<.001, respectively).
Conclusions:
- A comprehensive and easy-to-use ECG algorithm has been developed to accurately predict the infarct-related artery and its occlusion level in STEMI patients.
- This algorithm offers improved diagnostic capabilities for guiding timely and effective interventions in STEMI management.
Background:
Several electrocardiogram (ECG) criteria have been proposed to predict the location of the culprit occlusion in specific subsets of patients presenting with ST-segment elevation myocardial infarction (STEMI). The aim of this study was to develop, through an independent validation of currently available criteria, a comprehensive and easy-to-use ECG algorithm, and to test its diagnostic performance in real-world clinical practice.
Methods:
We analyzed ECG and angiographic data from 419 consecutive STEMI patients submitted to primary percutaneous coronary intervention over a one-year period, dividing the overall population into derivation (314 patients) and validation (105 patients) cohorts. In the derivation cohort, we tested >60 previously published ECG criteria, using the decision-tree analysis to develop the algorithm that would best predict the infarct-related artery (IRA) and its occlusion level. We further assessed the new algorithm diagnostic performance in the validation cohort.
Results:
In the derivation cohort, the algorithm correctly predicted the IRA in 88% of cases and both the IRA and its occlusion level (proximal vs mid-distal) in 71% of cases. When applied to the validation cohort, the algorithm resulted in 88% and 67% diagnostic accuracies, respectively. In a real-world comparative test, the algorithm performed significantly better than expert physicians in identifying the site of the culprit occlusion (P = .026 vs best cardiologist and P < .001 vs best emergency medicine doctor).
Conclusions:
Derived from an extensive literature review, this comprehensive and easy-to-use ECG algorithm can accurately predict the IRA and its occlusion level in all-comers STEMI patients.
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