Clinical evaluation of morphology discrimination: an algorithm for rhythm discrimination in cardioverter defibrillators.

The aim of this study was to test the new morphology discrimination diagnostic algorithm for ICDs that differentiates supraventricular tachycardias (SVTs) from VTs by analysis of ventricular depolarization complexes morphology. Twenty-five patients implanted with a St. Jude Ventritex single chamber...

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Publicado en:Pacing & Clinical Electrophysiology Vol. 24; no. 6; pp. 994 - 1002
Autores principales: Boriani G, Biffi M, Frabetti L, Lattuca JJ, Branzi A
Formato: research Journal Article
Publicado: Wiley-Blackwell Jun2001
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2001
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1046/j.1460-9592.2001.00994.x
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        atl: Clinical evaluation of morphology discrimination: an algorithm for rhythm discrimination in cardioverter defibrillators.
      aug:
        au:
          Boriani G
          Biffi M
          Frabetti L
          Lattuca JJ
          Branzi A
      sug:
        subj:
          Algorithms
          Defibrillators, Implantable
          Tachycardia Diagnosis
          Tachycardia Therapy
          Adult
          Aged
          Female
          Male
          Middle Age
          Patient Discharge
          Prospective Studies
          Reproducibility of Results
          Sensitivity and Specificity
          Tachycardia Physiopathology
          Human
          Adult: 19-44 years
          Aged: 65+ years
          Middle Aged: 45-64 years
          Female
          Male
      ab: The aim of this study was to test the new morphology discrimination diagnostic algorithm for ICDs that differentiates supraventricular tachycardias (SVTs) from VTs by analysis of ventricular depolarization complexes morphology. Twenty-five patients implanted with a St. Jude Ventritex single chamber ICD were studied during electrophysiological evaluation at predischarge and were followed for 7 ± 4 months. Sensitivity and specificity for VT detection and overall diagnostic accuracy of the morphology discrimination algorithm were calculated on 326 detected events. At electrophysiological evaluation, the algorithm was tested during 67 episodes of right atrial pacing, during 119 episodes of BV pacing (at basal interventricular septum and HV apex) and during 27 episodes of sustained AF: specificity was 98%, sensitivity was 66%. and diagnostic accuracy was 80%. All episodes of AF were correctly diagnosed as SVT. Exclusion of detections related to pacing at the basal interventricular septum, resulted in a specificity of 98%. a sensitivity of 85%. and a diagnostic accuracy of 93%. During follow-up, evaluation of the morphology discrimination algorithm on 113 spontaneous episodes (31 VTs, 31 AF, 7 SVTs, and 44 sinus tachycardias) exhibited a specificity of 89%, a sensitivity of 100%, and adiagnostic accuracy of 92%. In conclusion, the morphology discrimination algorithm exhibits a high specificity in discriminating VTs from SVTs. although with a corresponding reduction in sensitivity. The preliminary experience on spontaneous episodes is promising. To correct for the reduction in sensitivity, it is advisable to use this algorithm in parallel with other algorithms for rhythm discrimination (sudden onset, stability) coupled with extended high rate.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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