Why the study?
Does signal averaged ECG using time and frequency domain analyses identify patients at risk of ventricular tachyarrhythmia or underlying myocardial abnormalities after surgical repair of tetralogy of Fallot?
Does signal averaged ECG using time and frequency domain analyses identify patients at risk of ventricular tachyarrhythmia or underlying myocardial abnormalities after surgical repair of tetralogy of Fallot?
A combination of time and frequency domain analyses of signal averaged ECG can detect abnormalities associated with ventricular tachyarrhythmias and myocardial fibrosis in postoperative tetralogy of Fallot patients.
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May aid myocardial assessment after tetralogy of Fallot repair; hypothesis-generating and requires prospective validation before clinical use.
PURPOSE: The clinical significance of abnormal signal averaged ECG (SA-ECG) determined by time and frequency domain analyses was assessed in tetralogy of Fallot patients after surgical repair, and the methods of analysis were compared. MATERIALS AND METHODS: SA-ECG was performed in 42 patients (mean age, 9.4 years) after radical surgical repair of tetralogy of Fallot, and in 11 preoperative patients (mean age, 2.6 years). Abnormal SA-ECGs were defined by time domain analysis (vector magnitude method) and frequency domain analysis (fast Fourier transformation). RESULTS: Abnormal SA-ECGs were recognized in 10 postoperative, patients (3 by time domain and 9 by frequency domain, analysis), but in none of the preoperative patients. Three patients with abnormal SA-ECGs had nonsustained ventricular tachycardia, 5 others had premature ventricular contractions, and the remaining 2 had no ventricular tachyarrhythmias documented by 24 h Holter monitoring. Patients with abnormal SA-ECGs more commonly had ST-T segment depression on standard ECG during exercise (8/10 versus 8/32, p < 0.001), a history of resection of a hypertrophic septoparietal muscle band (8/10 versus 2/32, p < 0.001) and histologically documented myocardial fibrosis at radical surgical repair (9/10 versus 5/19, p < 0.002). CONCLUSION: A Combination of time and frequency domain analyses was necessary to detect abnormal SA-ECGs in postoperative patients because of ventricular conduction disturbance. This technique might increase our ability to identify patients at risk of ventricular tachyarrhythmia, or those with underlying myocardial abnormalities.
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Matsuoka et al. (1993) studied this question.
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