Coronary disease & ACS

Acute Coronary Syndrome Risk Prediction Using Portable Cable-Free Electrocardiogram (ECG) Device Combined With Clinical Risk Assessment

JACC AdvPublished prospective single-center study

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

OutcomeAlgorithmHuman consensus
False-positive rate at matched sensitivity, single portable ECG0.5270.458
False-positive rate at matched sensitivity, using reference comparison0.1980.556
  • 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

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