Unknown

Dataset Information

Performance and limitations of automated ECG interpretation statements in patients with suspected acute coronary syndrome.


ABSTRACT:

Background

The 12‑lead ECG plays an important role in triaging patients with symptomatic coronary artery disease, making automated ECG interpretation statements of "Acute MI" or "Acute Ischemia" crucial, especially during prehospital transport when access to physician interpretation of the ECG is limited. However, it remains unknown how automated interpretation statements correspond to adjudicated clinical outcomes during hospitalization. We sought to evaluate the diagnostic performance of prehospital automated interpretation statements to four well-defined clinical outcomes of interest: confirmed ST- segment elevation myocardial infarction (STEMI); presence of actionable coronary culprit lesions, myocardial necrosis, or any acute coronary syndrome (ACS).

Methods

An observat

SUBMITTER: Faramand Z 

PROVIDER: S-EPMC8664995 | biostudies-literature | 2021 Nov-Dec

REPOSITORIES: biostudies-literature