Clinical experience with a new detection algorithm for differentiation of supraventricular from ventricular tachycardia in a dual-chamber defibrillator

Anil Martin Sinha, Christoph Stellbrink, Andreas Schuchert, Bernhard Möx, Luc Jordaens, Dominique Lamaison, Jaswinder Gill, Andrew Kaplan, B. Merkely

Research output: Contribution to journalArticle

49 Citations (Scopus)

Abstract

Introduction: Inadequate therapy for supraventricular tachyarrhythmias (SVT) is a frequent problem of implantante cardioverter defibrillators (ICD). Dual-chamber ICDs have been developed to improve discrimination of SVT from ventricular tachycardia (VT). We investigated the positive predictivity, sensitivity, and specificity of a new algorithm, the SMART detection™ algorithm, incorporated in the Phylax AV (Biotronik) dual-chamber ICD. Methods and Results: Two hundred nine patients (185 men, age 64 ± 11 years) received a Phylax AV ICD with SMART detection™ activated. In 138 of these patients, 1,245 sustained tachycardia episodes with a detailed electrogram were stored in the device during a follow-up period of 10 ± 6 months. Episodes were correctly classified as ventricular fibrillation (VF, n = 178) in 52 patients, VT (n = 641) in 98 patients, and SVT (n = 385) in 48 patients by the algorithm. Forty-one true SVT episodes (3.3%) were misclassified as VT: atrial fibrillation (n = 7) and flutter (n = 1), sinus tachycardia (n = 12), and other SVT (n = 21). The positive predictivity for VF/VT was 94.5% (95% CI 92.7-95.8) uncorrected and 94.5% (95% CI 92.9-95.8%) corrected with the generalized equation estimation (GEE) method. The positive predictivity for SVT was 100%. The specificity was 88.9% (95% CI 85.6-91.6%) uncorrected and 89.0% (95% CI 85.6-91.6%) corrected with the GEE method with a sensitivity of 100%. Conclusion: The SMART detection™ algorithm was safe and reliable for the detection of all ventricular tachycardias. Although its specificity was high, it should be improved with regard to SVT to avoid inappropriate ICD therapies.

Original languageEnglish
Pages (from-to)646-652
Number of pages7
JournalJournal of Cardiovascular Electrophysiology
Volume15
Issue number6
DOIs
Publication statusPublished - Jun 2004

Fingerprint

Supraventricular Tachycardia
Defibrillators
Ventricular Tachycardia
Tachycardia
Sinus Tachycardia
Ventricular Fibrillation
Atrial Fibrillation
Sensitivity and Specificity
Equipment and Supplies
Therapeutics

Keywords

  • Arrhythmia
  • Detection algorithm
  • Dual chamber
  • Implantable cardioverter defibrillator
  • Inappropriate therapy
  • Optimization of programming

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Physiology

Cite this

Clinical experience with a new detection algorithm for differentiation of supraventricular from ventricular tachycardia in a dual-chamber defibrillator. / Sinha, Anil Martin; Stellbrink, Christoph; Schuchert, Andreas; Möx, Bernhard; Jordaens, Luc; Lamaison, Dominique; Gill, Jaswinder; Kaplan, Andrew; Merkely, B.

In: Journal of Cardiovascular Electrophysiology, Vol. 15, No. 6, 06.2004, p. 646-652.

Research output: Contribution to journalArticle

Sinha, Anil Martin ; Stellbrink, Christoph ; Schuchert, Andreas ; Möx, Bernhard ; Jordaens, Luc ; Lamaison, Dominique ; Gill, Jaswinder ; Kaplan, Andrew ; Merkely, B. / Clinical experience with a new detection algorithm for differentiation of supraventricular from ventricular tachycardia in a dual-chamber defibrillator. In: Journal of Cardiovascular Electrophysiology. 2004 ; Vol. 15, No. 6. pp. 646-652.
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AU - Sinha, Anil Martin

AU - Stellbrink, Christoph

AU - Schuchert, Andreas

AU - Möx, Bernhard

AU - Jordaens, Luc

AU - Lamaison, Dominique

AU - Gill, Jaswinder

AU - Kaplan, Andrew

AU - Merkely, B.

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N2 - Introduction: Inadequate therapy for supraventricular tachyarrhythmias (SVT) is a frequent problem of implantante cardioverter defibrillators (ICD). Dual-chamber ICDs have been developed to improve discrimination of SVT from ventricular tachycardia (VT). We investigated the positive predictivity, sensitivity, and specificity of a new algorithm, the SMART detection™ algorithm, incorporated in the Phylax AV (Biotronik) dual-chamber ICD. Methods and Results: Two hundred nine patients (185 men, age 64 ± 11 years) received a Phylax AV ICD with SMART detection™ activated. In 138 of these patients, 1,245 sustained tachycardia episodes with a detailed electrogram were stored in the device during a follow-up period of 10 ± 6 months. Episodes were correctly classified as ventricular fibrillation (VF, n = 178) in 52 patients, VT (n = 641) in 98 patients, and SVT (n = 385) in 48 patients by the algorithm. Forty-one true SVT episodes (3.3%) were misclassified as VT: atrial fibrillation (n = 7) and flutter (n = 1), sinus tachycardia (n = 12), and other SVT (n = 21). The positive predictivity for VF/VT was 94.5% (95% CI 92.7-95.8) uncorrected and 94.5% (95% CI 92.9-95.8%) corrected with the generalized equation estimation (GEE) method. The positive predictivity for SVT was 100%. The specificity was 88.9% (95% CI 85.6-91.6%) uncorrected and 89.0% (95% CI 85.6-91.6%) corrected with the GEE method with a sensitivity of 100%. Conclusion: The SMART detection™ algorithm was safe and reliable for the detection of all ventricular tachycardias. Although its specificity was high, it should be improved with regard to SVT to avoid inappropriate ICD therapies.

AB - Introduction: Inadequate therapy for supraventricular tachyarrhythmias (SVT) is a frequent problem of implantante cardioverter defibrillators (ICD). Dual-chamber ICDs have been developed to improve discrimination of SVT from ventricular tachycardia (VT). We investigated the positive predictivity, sensitivity, and specificity of a new algorithm, the SMART detection™ algorithm, incorporated in the Phylax AV (Biotronik) dual-chamber ICD. Methods and Results: Two hundred nine patients (185 men, age 64 ± 11 years) received a Phylax AV ICD with SMART detection™ activated. In 138 of these patients, 1,245 sustained tachycardia episodes with a detailed electrogram were stored in the device during a follow-up period of 10 ± 6 months. Episodes were correctly classified as ventricular fibrillation (VF, n = 178) in 52 patients, VT (n = 641) in 98 patients, and SVT (n = 385) in 48 patients by the algorithm. Forty-one true SVT episodes (3.3%) were misclassified as VT: atrial fibrillation (n = 7) and flutter (n = 1), sinus tachycardia (n = 12), and other SVT (n = 21). The positive predictivity for VF/VT was 94.5% (95% CI 92.7-95.8) uncorrected and 94.5% (95% CI 92.9-95.8%) corrected with the generalized equation estimation (GEE) method. The positive predictivity for SVT was 100%. The specificity was 88.9% (95% CI 85.6-91.6%) uncorrected and 89.0% (95% CI 85.6-91.6%) corrected with the GEE method with a sensitivity of 100%. Conclusion: The SMART detection™ algorithm was safe and reliable for the detection of all ventricular tachycardias. Although its specificity was high, it should be improved with regard to SVT to avoid inappropriate ICD therapies.

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KW - Detection algorithm

KW - Dual chamber

KW - Implantable cardioverter defibrillator

KW - Inappropriate therapy

KW - Optimization of programming

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