Incidence and prediction of induced ventricular tachyarrhythmias in idiopathic dilated cardiomyopathy. Academic Article uri icon

Overview

abstract

  • The value of time-domain and spectral turbulence analyses of the signal-averaged electrocardiogram (SAECG) for predicting induction of sustained monomorphic ventricular tachycardia (VT) was prospectively investigated in 70 patients with idiopathic dilated cardiomyopathy. Sustained VT was induced in 9 patients (13%). The prevalence of abnormal time-domain and spectral analyses was 16 and 37%, respectively. The total predictive accuracy of time-domain and spectral analyses for VT induction was 86 and 67%, respectively (p < 0.01). The predictive accuracy of time-domain and spectral analysis was similar in patients without an intraventricular conduction defect (94 and 84%, respectively). However, the predictive accuracy of time-domain was higher than that of spectral analysis in patients with an intraventricular conduction defect (65 vs 25%; p < 0.05). The poor concordance between spectral analysis and programmed stimulation results was mainly due to the high number of false-positive recordings in the presence of an intraventricular conduction defect (9 of 20 cases). With the use of stepwise discriminant function analysis, an abnormal time-domain SAECG was the only variable predicting the induction of sustained VT (p < 0.0003). In dilated cardiomyopathy, an abnormal time-domain SAECG and induced sustained VT are rare, both time-domain signal-averaged electrocardiography and spectral analysis have a high predictive accuracy for VT induction in patients without an intraventricular conduction defect, and spectral analysis does not improve VT prediction in those with a conduction defect.

publication date

  • April 15, 1994

Research

keywords

  • Cardiomyopathy, Dilated
  • Electrocardiography
  • Signal Processing, Computer-Assisted
  • Tachycardia, Ventricular

Identity

Scopus Document Identifier

  • 0028316789

Digital Object Identifier (DOI)

  • 10.1016/0002-9149(94)90879-6

PubMed ID

  • 8160614

Additional Document Info

volume

  • 73

issue

  • 11