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Comparison of an automated algorithm to expert physician interpretation of 80-lead body surface mapping in the evaluation of acute myocardial ischemia and infarction in patients presenting to the emergency department with chest pain: results from the Optimal Cardiovascular Diagnostic Evaluation Enabling Faster Treatment of Myocardial Infarction trial
Journal article   Peer reviewed

Comparison of an automated algorithm to expert physician interpretation of 80-lead body surface mapping in the evaluation of acute myocardial ischemia and infarction in patients presenting to the emergency department with chest pain: results from the Optimal Cardiovascular Diagnostic Evaluation Enabling Faster Treatment of Myocardial Infarction trial

Cedric W. Lefebvre, Mitchell W. Krucoff, Brian C. Hiestand, Abhinav Chandra, Charles B. Cairns, Joseph Massaro and James Hoekstra
Journal of electrocardiology, v 45(6), pp 702-707
01 Nov 2012
DOI: https://doi.org/10.1016/j.jelectrocard.2012.07.002
PMID: 22958923
Featured in Collection :   UN Sustainable Development Goals @ Drexel

Abstract

12-lead ECG 80-lead ECG Automated algorithm Body surface mapping ECG interpretation Eighty-lead ECG Electrocardiography OCCULT MI trial Twelve-lead ECG
Eighty-lead (80L) body surface map (BSM) technology provides electrocardiogram data for the clinician to interpret. A BSM device also offers an automated interpretation. Little information is available about the performance of automated algorithm interpretation in comparison to human interpretation of the 80L BSM. Interpretations of BSMs by automated algorithm and a core laboratory of physician readers from The Optimal Cardiovascular Diagnostic Evaluation Enabling Faster Treatment of Myocardial Infarction trial were compared. The κ statistic and its 95% confidence interval for concordance were calculated. The effect of BSM quality on concordance was also analyzed. 3405 maps for 1601 subjects were reviewed by the core laboratory and automated algorithm. There was a combined concordance rate of 87.3% (κ=0.46; 95% confidence interval, 0.40-0.52). A decrease in signal quality was associated with a decrease in concordance between human and automated algorithm interpretation (κ=0.52 for good quality vs κ=0.30 for poor quality). A moderate degree of concordance was noted between physician and automated algorithm interpretation of 80L BSMs. Signal quality of 80L electrocardiographic BSM directly affected concordance.

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Collaboration types
Domestic collaboration
Web of Science research areas
Cardiac & Cardiovascular Systems
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