title: Electrical And Hemodynamic Evalution Of Ventricular And Supraventricular Tachycardias With An Implantable Dual-Chamber Pacemaker.
abstract: The discrimination between ventricular (VT) and supraventricular tachycardia (SVT) and the evaluation of their hemodynamic impact are essential issues in the arrhythmia management. A new pacing device features a tachycardia diagnostic system relying on simultaneous recording of the transvalvular impedance (TVI) and a special integrated electric signal derived by the whole set of endocardial electrodes (iECG). The iECG waveform is sensitive to the pattern of ventricular activation, similarly to the surface ECG. The TVI increases in systole and decreases in diastole and the amplitude of this cyclic fluctuation is an expression of the effectiveness of the pump function. In order to test the value of these signals in the analysis of a tachycardia, we have assessed the iECG and TVI modifications induced by different SVTs and tolerated and non-tolerated VTs, during electrophysiological (EP) studies. In case of SVT, the ventricular component of the iECG maintained the same morphology as in sinus rhythm. The peak-peak amplitude of the TVI fluctuation was reduced to 66 ± 11 % of the individual sinus rhythm reference, but the signal was present at every beat and showed a remarkable stability (variation coefficient 0.19 ± 0.01). In case of VT, the ventricular component of the iECG was strikingly different than in sinus rhythm. Regular TVI fluctuation was observed with tolerated VTs (peak-peak amplitude 74 ± 6 %; variation coefficient 0.21 ± 0.04). In contrast, with non-tolerated VTs the TVI amplitude was depressed below 40%, and the signal was virtually absent in the event of very fast VT or VF. Our results confirm that the iECG is a reliable tool to quickly discriminate VTs from SVTs and that TVI can provide information on the severity of the hemodynamic impairment produced by a tachycardia, with potential clinical benefit in the follow-up of pacemaker patients. Furthermore, the application of these signals to automatic algorithms of arrhythmia recognition might improve the specificity of therapy administration by an implantable defibrillator (ICD).
authors.affiliation: Cardiovascular Department, San Filippo Neri Hospital, Rome, Italy.
authors.forename: Claudio
authors.initials: C
authors.lastname: Pandozi
authors.affiliation: Clinical Research Unit, Medico Spa, Rubano (Padova), Italy.
authors.forename: Franco
authors.initials: F
authors.lastname: Di Gregorio
authors.affiliation: Cardiovascular Department, San Filippo Neri Hospital, Rome, Italy.
authors.forename: Carlo
authors.initials: C
authors.lastname: Lavalle
authors.affiliation: Cardiovascular Department, San Filippo Neri Hospital, Rome, Italy.
authors.forename: Renato Pietro
authors.initials: RP
authors.lastname: Ricci
authors.affiliation: Cardiovascular Department, San Filippo Neri Hospital, Rome, Italy.
authors.forename: Sabina
authors.initials: S
authors.lastname: Ficili
authors.affiliation: Cardiovascular Department, San Filippo Neri Hospital, Rome, Italy.
authors.forename: Marco
authors.initials: M
authors.lastname: Galeazzi
authors.affiliation: Cardiovascular Department, San Filippo Neri Hospital, Rome, Italy.
authors.forename: Maurizio
authors.initials: M
authors.lastname: Russo
authors.affiliation: Cardiovascular Department, San Filippo Neri Hospital, Rome, Italy.
authors.forename: Angela
authors.initials: A
authors.lastname: Pandozi
authors.affiliation: Cardiovascular Department, San Filippo Neri Hospital, Rome, Italy.
authors.forename: Furio
authors.initials: F
authors.lastname: Colivicchi
authors.affiliation: Cardiovascular Department, San Filippo Neri Hospital, Rome, Italy.
authors.forename: Massimo
authors.initials: M
authors.lastname: Santini