Title of article
Localization of prior myocardial infarction by repolarization variables
Author/Authors
Paula Vesterinen، نويسنده , , Heikki V??n?nen، نويسنده , , Matti Stenroos، نويسنده , , Helena H?nninen، نويسنده , , Petri Korhonen، نويسنده , , Ilkka Tierala، نويسنده , , Terhi Husa، نويسنده , , Markku M?kij?rvi، نويسنده , , Lauri Toivonen، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2008
Pages
7
From page
100
To page
106
Abstract
Background
To find quantitative, automatically applicable electrocardiographic (ECG) variables for detecting prior myocardial infarction (MI) in different myocardial regions.
Methods
Observational study. Body surface potential mapping (BSPM) was recorded at rest, and automatically analyzed with regard to ECG parameters, blinded to the clinical characteristics of the study subjects, 144 patients with prior MI and 75 healthy controls. MI location was determined by cine angiography or echocardiography as anterior (66 patients), inferoposterior (89 patients), and lateral (15 patients). Patientsʹ 12-lead ECG was interpreted according to Minnesota code (Q-wave MI in 97 patients). The QRSSTT, QRS, and STT integrals, and the T-apex amplitude in detecting prior anterior and inferoposterior MI were analyzed.
Results
The T-apex amplitude, QRSSTT integral, and STT integral were functional in detecting MI in all tested locations on a single-lead basis, with areas under receiver operating characteristic curves (AUC) of over 90% (p < 0.001) in optimal sites. In the best leads AUC for the QRSSTT integral in anterior MI was 93% (CI 87–99%) and for the inferoposterior MI 92% (CI 88–97%). These repolarization variables outperformed the Minnesota code in all tested MI locations. They were also able to distinguish between anterior and inferoposterior MI with an AUC of > 85% (p < 0.001).
Conclusions
Quantitative, automatically applicable single-lead repolarization variables detect prior MI irrespective of its location. They may simplify the screening for and localization of old infarctions as compared to the conventional ECG methods.
Keywords
Repolarization , myocardial infarction , Computer analysis , Body surface potential mapping
Journal title
International Journal of Cardiology
Serial Year
2008
Journal title
International Journal of Cardiology
Record number
815674
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