AI-Powered ECG Detecting Culprit Vessel Blood Flow Abnormality in ACS
- Conditions
- STEMICoronary SyndromeCoronary OcclusionNSTEMINSTEMI - Non-ST Segment Elevation MIAcute Coronary Syndrome
- Registration Number
- NCT06528821
- Lead Sponsor
- Powerful Medical
- Brief Summary
AI ECG TIMI is an investigator-initiated, international, and multicenter registry of acute coronary syndrome patients aimed to identify electrocardiographic findings detected by an AI model predicting coronary blood flow alteration. The aim of the study is to identify electrocardiographic findings detected by an automated artificial intelligence (AI) model that can predict coronary blood flow alteration as assessed by the TIMI grade flow at the very moment of the invasive coronary angiography in patients with acute coronary syndromes.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 800
- Patients with acute coronary syndromes undergoing invasive coronary angiography as clinically indicated.
- Availability of a standard 12-lead ECG performed at invasive coronary angiogram before percutaneous coronary intervention (maximum within 15 min before vascular access).
- Age โฅ18 years.
- Individuals presenting for a non-emergent (elective) cardiac catheterization.
- Individuals presenting with chronic coronary syndrome (CCS) or stable angina symptoms.
- Individuals without symptoms suspicious for acute coronary syndromes.
- Individuals with contraindications for cardiac catheterization.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Diagnostic Accuracy of the AI-ECG TIMI AI Model Index hospitalization (assessed up to 5 days) The primary endpoint is the AI-ECG TIMI model's ability to identify patients with actively occluded (TIMI 0-1) at the time of invasive coronary angiography using only single-standard 12-lead ECGs assessed by accuracy, sensitivity, specificity, positive, negative predictive values and F1 scores.
- Secondary Outcome Measures
Name Time Method Subgroup Performance Index hospitalization (assessed up to 5 days) AI-ECG TIMI AI Model's performance across subgroups
1. Demographic
2. Risk factors \& co-morbidities
3. Electrocardiographic
4. Culprit artery territoryCorrelate established definitions of occlusion myocardial infarction (OMI) to myocardial perfusion status Index hospitalization (assessed up to 5 days) 2. OMI definitions using routine angiographic and laboratory parameters will be correlated to abnormal myocardial perfusion using correlation coefficients.
ECG prediction of mechanical reperfusion Index hospitalization (assessed up to 5 days) a. Correlation of AI-ECG TIMI model's raw numeric predictions (between 0 and 1) with myocardial perfusion grading post PCI.
Assessment of expert ECG interpretation blinded to all clinical information Index hospitalization (assessed up to 5 days) 1. Accuracy, sensitivity, specificity, positive and negative predictive value of expert interpretation of active OMI, reperfused OMI and entirety of OMI
2. Inter-rater variability of expert interpretation of active OMI, reperfused OMI and entirety of OMI.STEMI-equivalent ECG patterns Index hospitalization (assessed up to 5 days) a. Prevalence of STEMI equivalent ECG patterns and their correlation to TIMI flow grade at angiography.
Subgroup analysis of NSTEMI-OMI patients Index hospitalization (assessed up to 5 days) 9. NSTEMI-OMI stratified according to immediate (\<2h) vs. SoC (\>2h) invasive management, median: i. Peak troponin (maximum rise before fall) ii. Median LVEF at discharge iii. Length of hospital stay iv. Length of cardiac care unit (CCU) or intensive care unit (ICU) stay v. Presence of life-threatening arrhythmias
Trial Locations
- Locations (9)
LKH Hochsteiermark, Standort Bruck
๐ฆ๐นBruck an der Mur, Austria
LKH II Standort West
๐ฆ๐นGraz, Austria
University Hospital D'Annunzio Chieti
๐ฎ๐นChieti, Italy
San Pietro Hospital
๐ฎ๐นRome, Italy
SantยดAndrea Hospital
๐ฎ๐นRome, Italy
Medical University of Graz
๐ฆ๐นGraz, Austria
OLV Aalst
๐ง๐ชAalst, Belgium
AZ Sint Jan
๐ง๐ชBrugge, Belgium
Jessa Ziekenhuis
๐ง๐ชHasselt, Belgium