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.
Study Type
OBSERVATIONAL
Enrollment
800
LKH Hochsteiermark, Standort Bruck
Bruck an der Mur, Austria
NOT_YET_RECRUITINGLKH II Standort West
Graz, Austria
NOT_YET_RECRUITINGMedical University of Graz
Graz, Austria
RECRUITINGOLV Aalst
Aalst, Belgium
RECRUITINGAZ Sint Jan
Bruges, Belgium
RECRUITINGJessa Ziekenhuis
Hasselt, Belgium
RECRUITINGUniversity Hospital D'Annunzio Chieti
Chieti, Italy
RECRUITINGSan Pietro Hospital
Rome, Italy
RECRUITINGSant´Andrea Hospital
Rome, Italy
RECRUITINGDiagnostic Accuracy of the AI-ECG TIMI AI Model
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.
Time frame: Index hospitalization (assessed up to 5 days)
Subgroup Performance
AI-ECG TIMI AI Model's performance across subgroups 1. Demographic 2. Risk factors \& co-morbidities 3. Electrocardiographic 4. Culprit artery territory
Time frame: Index hospitalization (assessed up to 5 days)
Correlate established definitions of occlusion myocardial infarction (OMI) to myocardial perfusion status
2\. OMI definitions using routine angiographic and laboratory parameters will be correlated to abnormal myocardial perfusion using correlation coefficients.
Time frame: Index hospitalization (assessed up to 5 days)
ECG prediction of mechanical reperfusion
a. Correlation of AI-ECG TIMI model's raw numeric predictions (between 0 and 1) with myocardial perfusion grading post PCI.
Time frame: Index hospitalization (assessed up to 5 days)
Assessment of expert ECG interpretation blinded to all clinical information
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.
Time frame: Index hospitalization (assessed up to 5 days)
STEMI-equivalent ECG patterns
a. Prevalence of STEMI equivalent ECG patterns and their correlation to TIMI flow grade at angiography.
Time frame: Index hospitalization (assessed up to 5 days)
Subgroup analysis of NSTEMI-OMI patients
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
Time frame: Index hospitalization (assessed up to 5 days)
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.