NCT05118009
Completed
Not Applicable
Artificial Intelligence Based Rapid Identification of ST-elevation Myocardial Infarction Using Electrocardiogram (ARISE)
National Defense Medical Center, Taiwan1 site in 1 country43,176 target enrollmentMay 1, 2022
ConditionsMyocardial Infarction, Acute
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Myocardial Infarction, Acute
- Sponsor
- National Defense Medical Center, Taiwan
- Enrollment
- 43176
- Locations
- 1
- Primary Endpoint
- E2C (ECG to coronary angiography) time
- Status
- Completed
- Last Updated
- 2 years ago
Overview
Brief Summary
This is a randomized controlled trial (RCT) to test a novel artificial intelligence (AI)-enabled electrocardiogram (ECG)-based supporting tool for improving the diagnosis and management of ST-elevation myocardial infarction.
Investigators
Chin Lin
Associate Professor
National Defense Medical Center, Taiwan
Eligibility Criteria
Inclusion Criteria
- •Patients in emergency department or inpatient department.
- •Patients recieved at least 1 ECG examination.
Exclusion Criteria
- •The patients recieved ECG at the period of inactive AI-ECG system.
Outcomes
Primary Outcomes
E2C (ECG to coronary angiography) time
Time Frame: Within 6 hours
Time from ECG to activation of coronary angiography for STEMI patients.
Secondary Outcomes
- Highest concentration of high-sensitivity cardiac troponin I(Within 3 days)
- D2C (Door to coronary angiography) time(Within 6 hours)
- Ejection fractrion(Within 3 days)
- Highest concentration of creatine kinase(Within 3 days)
- Length of hospitalization(Within 28 days)
- Number of CAG event(Within 6 hours)
- D2B (Door to Balloon Time) time(Within 6 hours)
- E2B (ECG to primary percutaneous coronary intervention) time(Within 6 hours)
Study Sites (1)
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