CLINICAL STUDIES
Improved diagnostic value of combined time and frequency domain analysis of the signal-averaged electrocardiogram after myocardial infarction
Rafael Vázquez, MD*,
Edward B. Caref, PhD ,
Francisco Torres, MD*,
Margarita Reina, RN*,
Aurora Espina, MD* and
Nabil El-Sherif, MD
* Cardiology Unit of Valme University Hospital, Seville, Spain
Cardiology Divisions of the State University of New York Health Science and Veterans Administration Medical Centers, Brooklyn, New York, USA
Manuscript received December 8, 1997;
revised manuscript received August 27, 1998,
accepted October 15, 1998.
Reprint requests and correspondence: Nabil El-Sherif, MD, Cardiology Section (111A), VA Medical Center, 800 Poly Place, Brooklyn, New York 11209 el-sherif.nabil{at}brooklyn.va.gov
Background
Time domain analysis (TD) of the signal-averaged electrocardiogram (SAECG) presents a higher incidence of false positives in inferior myocardial infarction (MI), whereas spectral turbulence analysis (STA) suffers from a higher incidence of false positives in anterior MI. We investigated the hypothesis that a combined TD and STA (TD+STA) analysis of the SAECG could improve its predictive accuracy for major arrhythmic events (MAE) after MI.
Methods
Signal-averaged electrocardiograms were prospectively recorded 10.1 ± 2.6 days after acute MI in 602 patients. Time domain analysis and STA were performed using standard parameters and criteria for abnormality. For the combined TD+STA model, stepwise discriminant analysis was utilized to optimize prediction of MAE. Receiver operating characteristic curves were utilized to optimize cutoff values for each SAECG parameter separately, and also for the combined TD+STA model.
Results
During a one-year follow-up period, 38 patients had MAE: 14 sustained ventricular tachycardia, 2 resuscitated ventricular fibrillation and 22 sudden cardiac deaths. The total predictive accuracy of combined TD+STA (89.9%) was significantly higher than TD (75.1%) or STA (77.6%). The negative predictive accuracy of all three analyses was high (98%). The positive predictive accuracy of TD (19.6%) or STA (18.3%) was quite low, and significantly improved to 35.8% by combined TD+STA analysis. The positive predictive accuracy of TD+STA improved to 51.2% in patients with left ventricular ejection fraction <40%.
Conclusions
Combined TD+STA analysis of the SAECG significantly improves its prognostic ability for MAE in post-MI patients compared with TD or STA analyzed separately.
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Abbreviations and Acronyms
| | CI | = confidence interval | | ISCM | = interslice correlation mean | | ISCSD | = interslice correlation standard deviation | | IVCD | = intraventricular conduction defects | | LAS40 | = duration of terminal low amplitude signals <40 µV | | LBBB | = left bundle branch block | | LSCR | = low slice correlation ratio | | MAE | = major arrhythmic events | | MI | = myocardial infarction | | QRSD | = total filtered QRS duration | | RBBB | = right bundle branch block | | RMS40 | = root mean square voltage of the last 40 ms of the filtered QRS | | ROC | = receiver operating characteristic | | SAECG | = signal-averaged electrocardiogram | | SE | = spectral entropy | | STA | = spectral turbulence analysis | | TD | = time domain analysis |
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