Acute Coronary Syndrome Risk Prediction Using Portable Cable-Free Electrocardiogram (ECG) Device Combined With Clinical Risk Assessment
Authors' conclusion
An algorithm combining clinical risk factors, symptoms, and ECG recording using hand-held cable-free device provides clinically meaningful ACS risk stratification. If fully integrated into a personal device, it may help support early self-triage decisions and reduce patient-related prehospital delays.
Study context
- Population
- Emergency department patients with chest painenrolled, 184 patients with complete data were analyzed · learning set 96 · test set 88 · asymptomatic postevent reference portable ECG obtained 9 to 12 months later 98
- Participants
- 212 patients
- Exposure
- Algorithm performance was evaluated using receiver operating characteristic curve analysis and compared with human consensus interpretation of 12-lead ECG plus PER and symptom risk (SR) information
Methodological detailsconsecutive emergency department patients, learning set and test set
- Consecutive emergency department patients
- Learning set and test set
Main finding
As reported in the abstract
Algorithm ACS prediction, area under the curve
Single portable ECG
0.865
With postevent reference comparison
0.929
Observational data: associations, not effects.
Further findings
False-positive rate
| Outcome | Algorithm | Human consensus |
|---|---|---|
| False-positive rate at matched sensitivity, single portable ECG | 0.527 | 0.458 |
| False-positive rate at matched sensitivity, using reference comparison | 0.198 | 0.556 |
- False-positive rate at matched sensitivity, single portable ECG: P = 0.709
- False-positive rate at matched sensitivity, using reference comparison: P = 0.004
Parts of this Brief are withheld: the automatic checks could not confirm them against the abstract.
Original publication
Acute Coronary Syndrome Risk Prediction Using Portable Cable-Free ECG Device Combined With Clinical Risk Assessment. JACC Adv. Published 21 May 2026. doi:10. 1016/ j. jacadv. 2026. 102827
Summarised from the published abstract; every number is checked against it