Human⇓computer agreement of electrocardiogram interpretation for patients referred to and declined for primary percutaneous coronary intervention: retrospective data analysis study

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Abstract

Background: When a patient is suspected of having an acute myocardial infarction, they are accepted or declined for primary percutaneous coronary intervention partly based on clinical assessment of their 12-lead electrocardiogram (ECG) and ST-elevation myocardial infarction criteria. Objective: We retrospectively determined the agreement rate between human (specialists called activator nurses) and computer interpretations of ECGs of patients who were declined for primary percutaneous coronary intervention. Methods: Various features of patients who were referred for primary percutaneous coronary intervention were analyzed. Both the human and computer ECG interpretations were simplified to either “suggesting” or “not suggesting” acute myocardial infarction to avoid analysis of complex heterogeneous and synonymous diagnostic terms. Analyses, to measure agreement, and logistic regression, to determine if these ECG interpretations (and other variables such as patient age, chest pain) could predict patient mortality, were carried out. Results: Of a total of 1464 patients referred to and declined for primary percutaneous coronary intervention, 722 (49.3%) computer diagnoses suggested acute myocardial infarction, whereas 634 (43.3%) of the human interpretations suggested acute myocardial infarction (P

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Iftikhar, A., Bond, R., McGilligan, V., Leslie, S. J., Knoery, C., Shand, J., … Peace, A. (2021). Human⇓computer agreement of electrocardiogram interpretation for patients referred to and declined for primary percutaneous coronary intervention: retrospective data analysis study. JMIR Medical Informatics, 9(3). https://doi.org/10.2196/24188

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