Key result
Correlation waveform analysis successfully differentiated distinct monomorphic ventricular tachycardias in 94% of cases using bipolar and 88% using unipolar electrograms.
Why the study?
Does correlation waveform analysis of intraventricular electrograms effectively differentiate distinct monomorphic ventricular tachycardias?
Observational (n=15)
Does correlation waveform analysis of intraventricular electrograms effectively differentiate distinct monomorphic ventricular tachycardias?
Correlation waveform analysis of intracardiac electrograms is highly effective for differentiating distinct monomorphic ventricular tachycardias, which may aid in device-based therapies.
Answers are grounded in this paper and cite their sources.
May support correlation waveform analysis for device-based VT differentiation; leaves open prospective validation before practice change.
This study investigated the effectiveness of correlation waveform analysis for identifying different ventricular electrogram morphologies of multiple VTs in the same patient. Patients with implantable antitachycardia devices are commonly subject to the occurrence of more than one distinct monomorphic VT. Each of these VTs may have unique therapeutic alternatives for termination. VTs with identical and different monomorphic configurations were recorded (1-500 Hz) using distal bipolar (1 cm) and distal unipolar electrograms from the right ventricular apex. Thirty-six distinct monomorphic VTs induced in 15 patients were analyzed. Nine VTs with identical morphologies (12/12 surface ECGs) were induced twice and used as a control. A template was created for each VT induced. Correlation waveform analysis was used to compare each depolarization of all other VTs induced subsequently in the same patient. The mean correlation coefficient (p mu) of cycle-by-cycle analysis was used as a discriminant function: p mu > or = 0.95 was considered matched; and p mu < 0.95 was considered distinct. From the control population, VTs were successfully classified as identical in 9 of 9 cases (100%) using both bipolar and unipolar electrograms. VTs with different monomorphic configurations were successfully classified as being different in 31 of 33 cases (94%) using bipolar electrogram analysis and in 29 of 33 cases (88%) using the unipolar. Template matching is effective for detecting: (1) the recurrence of VTs, which are identical; and (2) the occurrence of a VT with a different configuration. This method appears effective using either unipolar or bipolar intracardiac waveforms.
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STEVENSON et al. (1997) conducted an observational in Monomorphic ventricular arrhythmias (n=15). Correlation waveform analysis of intraventricular electrograms was evaluated on Successful classification of identical versus distinct monomorphic ventricular tachycardias. Correlation waveform analysis successfully differentiated distinct monomorphic ventricular tachycardias in 94% of cases using bipolar and 88% using unipolar electrograms.
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