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Comparison of model-based and expert-rule based electrocardiographic identification of the culprit artery in patients with acute coronary syndrome.

Authors :
Kamphuis, Vivian P.
Wagner, Galen S.
Pahlm, Olle
Man, Sumche
Olson, Charles W.
Bacharova, Ljuba
Swenne, Cees A.
Source :
Journal of Electrocardiology; Jul/Aug2015, Vol. 48 Issue 4, p483-489, 7p
Publication Year :
2015

Abstract

Background and purpose Culprit coronary artery assessment in the triage ECG of patients with suspected acute coronary syndrome (ACS) is relevant a priori knowledge preceding percutaneous coronary intervention (PCI). We compared a model-based automated method (Olson method) with an expert-rule based method for the culprit artery assessment. Methods In each of the 53 patients who were admitted with the working diagnosis of suspected ACS, scheduled for emergent angiography with a view on revascularization as initial treatment and subsequently found to have an angiographically documented completely occluded culprit artery, culprit artery location was assessed in the preceding ECG by both the model-based Olson method and the expert-rule based method that considered either visual or computer-measured J-point amplitudes. ECG culprit artery estimations were compared with the angiographic culprit lesion locations. Proportions of correct classifications were compared by a Z test at the 5% significance level. Results The Olson method performed slightly, but not significantly, better, when the expert-rule based method used visual assessment of J-point amplitudes (88.7% versus 81.1% correct; P = 0.28). However, the Olson method performed significantly better when the expert-rule based method used computer-measured J-point amplitudes (88.7% versus 71.7% correct; P < 0.05). Conclusion The automated model-based Olson method performed at least at the level of expert cardiologists using a manual rule-based method. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00220736
Volume :
48
Issue :
4
Database :
Supplemental Index
Journal :
Journal of Electrocardiology
Publication Type :
Academic Journal
Accession number :
103424166
Full Text :
https://doi.org/10.1016/j.jelectrocard.2015.05.003