Acute cardiac care & resuscitation
Development of the CASPER-Score: A bedside tool integrating artificial intelligence (AI)-based electrocardiogram (ECG) analysis with key clinical predictors to identify relevant coronary artery stenosis in patients after out-of-hospital cardiac arrest
- single-center, retrospective, cohort study
Authors' conclusion
The CASPER-Score may improve early risk stratification and support decision-making regarding coronary angiography in OHCA patients.
Study context
- Population
- OHCA patients admitted to the intensive care unit between 01/2019 and 12/2021 who underwent coronary angiography within seven daysOHCA patients undergoing coronary angiography within 7 days
- Participants
- 204 patients
- Exposure
- CASPER-Score for relevant coronary artery stenosis
- Outcome
- Relevant coronary artery stenosis (≥50% diameter stenosis of the left main coronary artery or ≥70% of all other vessels)
Main finding
As reported in the abstract
Relevant coronary artery stenosis present
157 patients (77%)
CASPER-Score range
0-8 points
CASPER-Score discrimination (good)
AUC = 0.86
Observational data: associations, not effects.
Secondary outcomes
Coronary revascularization (secondary outcome)
- Underwent coronary revascularization
- 127 patients (62.3%)
- Model predicting revascularization discrimination (moderate)
- AUC = 0.74
Original publication
Development of the CASPER-Score: A bedside tool integrating AI-based ECG analysis with key clinical predictors to identify relevant coronary artery stenosis in patients after out-of-hospital cardiac arrest. Resuscitation. Published 7 July 2026. doi:10.1016/j.resuscitation.2026.111198
Summarised from the published abstract; every number is checked against it