The comparative predictive accuracy of spectral turbulence analysis and time-domain analysis for sustained monomorphic ventricular tachycardia in postinfarction patients with conduction defects
| Autor: | Leo G. Horan, Marandapalli R. Sridharan, Gershon Y. Perry, Anita C. Wylds, Nancy C. Flowers |
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| Rok vydání: | 1995 |
| Předmět: |
Adult
Male medicine.medical_specialty Bundle-Branch Block Myocardial Infarction Ventricular tachycardia Noise (electronics) Root mean square QRS complex Electrocardiography Predictive Value of Tests Internal medicine medicine Humans Aged Ejection fraction Left bundle branch block business.industry Signal Processing Computer-Assisted General Medicine Right bundle branch block Middle Aged medicine.disease Signal-averaged electrocardiogram Cardiology Tachycardia Ventricular Female Cardiology and Cardiovascular Medicine business Artifacts |
| Zdroj: | Pacing and clinical electrophysiology : PACE. 18(12 Pt 1) |
| ISSN: | 0147-8389 |
| Popis: | Signal-averaged electrocardiograms obtained in 86 postinfarction patients with right bundle branch block (RBBB), left bundle branch block (LBBB), or intraventricular conduction defect (IVCD), underwent time-domain analysis (TDA) and spectral turbulence analysis (STA) to determine which approach provided the more effective marker for patients with sustained monomorphic ventricular tachycardia. TDA parameter included the root mean square value of the last 40 ms of the vectormagnitude complex and the duration of the low amplitude signal below 40 microV. STA utilized a summation lead (X + Y + Z) and quantitated four parameters: interslice correlation mean, interslice correlation standard deviation, low slice correlation ratio, and spectral entropy. High-pass filters of 40 Hz and 25 Hz were used to study the total patient population with noise levelsor = microV and a subset of 67 patients with noise levelsor = 0.5 microV. The techniques compared their effectiveness as measured by their positive predictive values (PPV), negative predictive values (NPV), sensitivity (Sn), and specificity (Sp). In RBBB, STA was uniformly a more powerful tool utilizing either filter at both noise levels. In LBBB, STA was consistently more powerful at both noise levels at 40 Hz and, generally, more powerful at 25 Hz with isolated exceptions. In conduction defects in which QRS was100 ms but120 ms, TDA was equal to or more effective than STA, with the exception of PPV and Sp at 40 Hz at 1-microV noise level and the Sp at 0.5 microV. The addition of ejection fraction data to STA score resulted in further overall improvement in performance, but above conclusions were unchanged. |
| Databáze: | OpenAIRE |
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