Chest Pain Rule Out Myocardial Infarction, Myocardial Infarction (MI)
Conditions
Keywords
chest pain, suspicious myocardial infarction, artificial intelligence, electrocardiogram, emergency department, acute coronary syndrome, AI/ML-enabled SaMd
Brief summary
This study is to see whether the AI ECG assisted protocol is as safe and efficacious as conventional protocol in early triage of suspected myocardial infarction.
Interventions
The patients in AI-ECG group would be managed with the information of the myocardial infarction risk score in AI-ECG in addition to the usual care.
Sponsors
Study design
Eligibility
Inclusion criteria
* chest pain * suspicious of acute myocardial infarction
Exclusion criteria
* STEMI * Revisit of same symptoms within 1 week * traumatic chest pain * Pneumothorax * Transferred from other hospital diagnosed of AMI * Cardiac arrest * Chest pain of clearly non-cardiac etiology * declined to participate in the study
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| 30 Days MACE(Major adverse cardiac events) | 30 days | Death, acute myocardial infarction, stroke, target vessel revascularization, stent thrombosis within 30 days from index visit |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Missed acute myocardial infarction at index visit | 30 days | Missed acute myocardial infarction at index ED visit, but is detected later in anyplace (Outpatient clinic, revisit to ED, or other hospital, etc) |
| AI-ECG 30 days MACE prediction performance | 30 days | AUROC and AUPRC by continuous AI-ECG score |
| AI-ECG acute myocardial infarction (index visit) discrimination performance | 30 days | AUROC and AUPRC by continuous AI-ECG score |
| Medical resources utilization | 30 days | Length of stay in ED will be assessed both in total and according to the risk stratification by HEART score and by study period (Q1-Q4). |
Countries
South Korea
Contacts
CHA University