Literature DB >> 11990674

Analysis of mode switching algorithms in dual chamber pacemakers.

Carsten W Israel1.   

Abstract

Dual chamber systems are currently implanted in an increasing number of patients with a pacing indication and paroxysmal atrial tachyarrhythmias (ATAs). To avoid tracking of high atrial rates during ATA while providing AV synchronous pacing during sinus rhythm and AV block, automatic mode switching (MS) to a nontracking mode has been developed. Several concepts of MS algorithms have been introduced differing in sensitivity and specificity of ATA detection, delay between ATA onset and MS, pacing mode during MS, rapidity of MS termination upon detection of sinus rhythm, and special algorithms pertinent to MS. This review classifies and analyzes algorithms that are integrated into MS concepts and outlines considerations on optimal MS performance. Based on simulations and clinical studies, fast MS concepts avoiding high paced ventricular rates seem preferable but require special functions to avoid loss of AV synchrony by inappropriate MS. Similarly, fast return to tracking mode after ATA cessation seems preferable but requires algorithms to prevent mode oscillations. Sudden ventricular rate changes have to be avoided by rate smoothing functions, and an appropriate ventricular rate during nontracking mode has to be provided by rate responsive pacing. Programming of the device includes individual optimization of atrial sensitivity, atrial blanking times, and tachycardia detection rates. In addition, a high signal-to-noise ratio by careful atrial lead implantation, narrowly spaced bipolar atrial leads and a good sensing amplifier, together with special algorithms for atrial sensing adjustment improve the performance of MS algorithms.

Entities:  

Mesh:

Year:  2002        PMID: 11990674     DOI: 10.1046/j.1460-9592.2002.00380.x

Source DB:  PubMed          Journal:  Pacing Clin Electrophysiol        ISSN: 0147-8389            Impact factor:   1.976


  9 in total

1.  [Pacemaker---EKG--Quiz].

Authors:  Carsten W Israel
Journal:  Herzschrittmacherther Elektrophysiol       Date:  2005-03

2.  The natural history of atrial fibrillation in patients with permanent pacemakers: is atrial fibrillation a progressive disease?

Authors:  R A Veasey; C Sugihara; K Sandhu; G Dhillon; N Freemantle; S S Furniss; A N Sulke
Journal:  J Interv Card Electrophysiol       Date:  2015-07-03       Impact factor: 1.900

3.  Diagnostic tools for atrial tachyarrhythmias in implantable pacemakers: a review of technical options and pitfalls.

Authors:  W G de Voogt; N M van Hemel
Journal:  Neth Heart J       Date:  2008-06       Impact factor: 2.380

4.  The usefulness of minimal ventricular pacing and preventive AF algorithms in the treatment of PAF: the 'MinVPace' study.

Authors:  Rick A Veasey; Anita Arya; Nick Freemantle; John Silberbauer; Nikhil R Patel; Guy W Lloyd; A Neil Sulke
Journal:  J Interv Card Electrophysiol       Date:  2010-01-16       Impact factor: 1.900

5.  [Avoidance of ventricular pacing in patients with sinus node disease or intermittent AV block].

Authors:  U K H Wiegand
Journal:  Herzschrittmacherther Elektrophysiol       Date:  2008-03

6.  Automatic mode switching in atrial fibrillation.

Authors:  Giuseppe Stabile; Antonio De Simone; Enrico Romano
Journal:  Indian Pacing Electrophysiol J       Date:  2005-07-01

7.  Enhanced detection of atrial tachyarrhythmias with pacing devices by using more accurate atrial sensing.

Authors:  Sami Pakarinen; Mika Lehto; Jaap Ruiter; Willem G de Voogt
Journal:  J Interv Card Electrophysiol       Date:  2021-10-01       Impact factor: 1.759

Review 8.  The role of pacing in rhythm control and management of atrial fibrillation.

Authors:  John Silberbauer; Neil Sulke
Journal:  J Interv Card Electrophysiol       Date:  2007-05-02       Impact factor: 1.759

9.  Ambulatory Holter monitoring in asymptomatic patients with DDD pacemakers - do we need ACC/AHA Guidelines revision?

Authors:  Michal Chudzik; Artur Klimczak; Jerzy Krzysztof Wranicz
Journal:  Arch Med Sci       Date:  2013-11-05       Impact factor: 3.318

  9 in total

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