Prehospital electrocardiographic computer identification of ST-segment elevation myocardial infarction

Mary Colleen Bhalla1, Francis Mencl, Mikki Amber Gist

  • 1Department of Emergency Medicine, Summa Health System, Akron, Ohio 44304, USA. mcmcquown@yahoo.com

Insights

Prehospital computer interpretation of electrocardiograms (ECGs) for ST-segment elevation myocardial infarctions (STEMIs) has 100% specificity but only 58% sensitivity. This tool should not solely activate cardiac catheterization labs due to missed STEMI cases.

Area of Science:

  • Cardiology
  • Emergency Medicine
  • Medical Informatics

Background:

  • Field identification of ST-segment elevation myocardial infarctions (STEMIs) is crucial for reducing door-to-balloon times.
  • Paramedics utilize computer algorithms for interpreting prehospital electrocardiograms (ECGs).
  • The accuracy of computer-aided STEMI identification in prehospital settings remains largely uninvestigated.

Purpose of the Study:

  • To evaluate the sensitivity and specificity of prehospital ECG interpretation by a computer algorithm for identifying STEMI patients.
  • To assess the diagnostic performance of automated ECG analysis in emergency medical services (EMS).

Main Methods:

  • A retrospective cross-sectional study analyzed 200 prehospital ECGs from Lifepak 12 monitors across multiple EMS agencies.
  • The study included 100 confirmed STEMI cases and 100 control cases without STEMI.
  • Sensitivity and specificity were calculated, with computer interpretation of "acute MI suspected" considered accurate.

Main Results:

  • The computer algorithm demonstrated 100% specificity (95% CI 0.96-1.0) for STEMI identification, with zero false positives.
  • Sensitivity was 58% (95% CI 0.48-0.67), indicating 42 missed STEMI activations.
  • Common misinterpretations included "data quality prohibits interpretation" and "abnormal ECG unconfirmed."

Conclusions:

  • Prehospital computer ECG interpretation lacks sufficient sensitivity for reliable STEMI identification.
  • The algorithm should not be used as a standalone method for activating cardiac catheterization laboratories.
  • Its high specificity suggests potential utility as an adjunctive tool in STEMI diagnosis.
Abstract

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