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Artificial Intelligence-Powered Rapid Identification of ST-Elevation Myocardial Infarction via Electrocardiogram
Chin Lin1,2,3,4, Wei-Ting Liu5, Chiao-Hsiang Chang5
1Medical Technology Education Center, School of Medicine, National Defense Medical Center, Taipei, Taiwan, R.O.C.
Background:
Timely diagnosis of ST-elevation myocardial infarction (STEMI) is crucial for the treatment of patients with acute coronary syndrome. Artificial intelligence-enabled electrocardiogram (AI-ECG) has shown potential for the accurate and timely detection of STEMI on 12-lead electrocardiograms (ECGs). However, its impact on clinical treatment times is unknown.
Methods:
To evaluate the potential of AI-ECG-assisted detection of STEMI to reduce treatment delays for patients with STEMI, we conducted an open-label, cluster randomized controlled trial involving 43,234 eligible patients (mean age, 60 years; 49.5% male) without a history of coronary angiography within 3 days in the emergency department or inpatient wards at Tri-Service General Hospital, Taipei, Taiwan between May 1, 2022, and April 31, 2023. Patients were randomly assigned 1:1 to AI-ECG-assisted detection of STEMI (intervention group) or to standard of care (control group). The primary end point was door-to-balloon time; ECG-to-balloon time was also evaluated as a branch of the primary analysis. Secondary end points included incidence of new-onset low ejection fraction, cardiac death, and all-cause mortality.
Results:
Among the 43,234 patients, 77 in the intervention group and 68 in the control group were diagnosed with STEMI with occluded vessel(s) based on coronary angiography. The use of AI-ECG demonstrated a positive predictive value of 89.5% (95% confidence interval [CI], 85.3 to 93.6%) and a negative predictive value of 99.9% (95% CI, 99.9 to 100.0%). For patients in the emergency department, the median door-to-balloon time was 82.0 minutes (interquartile range, 62.5 to 89.5) in the intervention group compared with 96.0 minutes (interquartile range, 78.0 to 137.0) in the control group (P=0.002). When analyzing both emergency and inpatient cases, the median ECG-to-balloon time was 78.0 minutes (interquartile range, 56.9 to 88.2 minutes) in the intervention group compared with 83.6 minutes (interquartile range, 72.7 to 127.8 minutes) in the control group (P=0.011). In the intervention group versus the control group, there were 340 versus 304 cases, respectively, of new-onset heart failure with reduced ejection fraction (odds ratio, 1.12; P=0.151), 85 versus 116 cases of cardiac death (odds ratio, 0.73; P=0.029), and 1153 versus 1127 cases of all-cause mortality (odds ratio, 1.02; P=0.568).
Conclusions:
In patients with STEMI, AI-ECG-assisted triage of STEMI decreased the door-to-balloon time for patients presenting to the emergency department and decreased the ECG-to-balloon time for patients in the emergency room and inpatients. (Funded by the National Science and Technology Council, Taiwan and others; ClinicalTrials.gov number, NCT05118009.).
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