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AI-Powered ECG Detecting Culprit Vessel Blood Flow Abnormality in ACS

Recruiting
Conditions
STEMI
Coronary Syndrome
Coronary Occlusion
NSTEMI
NSTEMI - Non-ST Segment Elevation MI
Acute 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
Inclusion Criteria
  • 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 โ‰ฅ18 years.
Exclusion Criteria
  • 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
NameTimeMethod
Diagnostic Accuracy of the AI-ECG TIMI AI ModelIndex 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
NameTimeMethod
Subgroup PerformanceIndex 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 territory

Correlate established definitions of occlusion myocardial infarction (OMI) to myocardial perfusion statusIndex 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 reperfusionIndex 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 informationIndex 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 patternsIndex 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 patientsIndex 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

๐Ÿ‡ฆ๐Ÿ‡น

Bruck an der Mur, Austria

LKH II Standort West

๐Ÿ‡ฆ๐Ÿ‡น

Graz, Austria

University Hospital D'Annunzio Chieti

๐Ÿ‡ฎ๐Ÿ‡น

Chieti, Italy

San Pietro Hospital

๐Ÿ‡ฎ๐Ÿ‡น

Rome, Italy

SantยดAndrea Hospital

๐Ÿ‡ฎ๐Ÿ‡น

Rome, Italy

Medical University of Graz

๐Ÿ‡ฆ๐Ÿ‡น

Graz, Austria

OLV Aalst

๐Ÿ‡ง๐Ÿ‡ช

Aalst, Belgium

AZ Sint Jan

๐Ÿ‡ง๐Ÿ‡ช

Brugge, Belgium

Jessa Ziekenhuis

๐Ÿ‡ง๐Ÿ‡ช

Hasselt, Belgium

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