Automatic Mode Switching in Atrial Fibrillation

Giuseppe, Stabile and Antonio De, Simone and Enrico, Romano (2005) Automatic Mode Switching in Atrial Fibrillation. [Journal (Paginated)]

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Automatic mode switching (AMS) algorithms were designed to prevent tracking of atrial tachyarrhythmias (ATA) or other rapidly occurring signals sensed by atrial channels, thereby reducing the adverse hemodynamic and symptomatic consequences of a rapid ventricular response. The inclusion of an AMS function in most dual chamber pacemaker now provides optimal management of atrial arrhythmias and allows the benefit of atrioventricular synchrony to be extended to a population with existing atrial fibrillation. Appropriate AMS depends on several parameters: a) the programmed parameters; b) the characteristics of the arrhythmia; c) the characteristics of the AMS algorithm. Three qualifying aspects constitute an AMS algorithm: onset, AMS response, and resynchronization. Since AMS programs also provide data on the time of onset and duration of AMS episodes, AMS data may be interpreted as a surrogate marker of ATAs recurrence. Recently, stored electrograms corresponding to episodes of ATAs have been introduced, thus clarifying the accuracy of AMS in detecting ATAs Clinically this information may be used to assess the efficacy of an antiarrhythmic intervention or the risk of thromboembolic events, and it may serve as a valuable research tool for evaluating the natural history and burden of ATAs.

Item Type:Journal (Paginated)
Keywords:automatic mode switching; atrial fibrillation
Subjects:JOURNALS > Indian Pacing and Electrophysiology Journal
ID Code:4446
Deposited By: Indian Pacing and Electrophysiology, Journal
Deposited On:13 Jul 2005
Last Modified:11 Mar 2011 08:56

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1. Kamalvand K, Tan K, Kotsakis A, Bucknall C, Sulke N. Is mode switching beneficial: A randomized study in patients with atrial tachyarrhythmias. J Am Coll Cardiol 1997;30:496-504.

2. Lau CK; Leung SK, Tse HF, Barold S. Automatic mode switching of implantable pacemakers: II. Clinical performance of current algorithms and their programming. Pacing Clin Electrophysiol 2002;25:1094-1113.

3. Garrigue S, Cazeau S, Ritter P, et al. Incidence of atrial arrhythmia in patients with long term dual-chamber pacemakers. Arch Mal Coeur Vaiss 1996;89:873-881.

4. Defaye P, Dournaux F, Mounton E. Prevalence of supraventricular arrhythmias from the automatic analysis of data stored in the DDD pacemakers of 617 patients: The AIDA study. Pacing Clin Electrophysiol 1998;21:250-255.

5. Swerdlow CD, Schsls W, Dijkman B, Jung W, Sheth NV, Olson WH, Gunderson BD. Detection of atrial fibrillation and flutter by a dual-chamber implantable cardioverter-defibrillator. For the Worldwide Jewel AF Investigators. Circulation 2000;101:878-885.

6. Ellenbogen KA, Mond HG, Wood MA, Barolo S. Failure of automatic mode switching: recognition and management. Pacing Clin Electrophysiol 1997;20[Pt.I]:268-275.

7. Israel CW. Analysis of mode switching algorithms in dual chamber pacemakers. Pacing Clin Electrophysiol 2002;25:380-393.

8. Lau CK; Leung SK, Tse HF, Barold S. Automatic mode switching of implantable pacemakers: I. Principles of instrumentation, clinical, and hemodynamic consideration. Pacing Clin Electrophysiol 2002;25:967-985.

9. Brunnel-Larocca HP, Rickli H, Weilenmann D, et al. Importance of ventricular rate after mode switching during low intensity exercise as assessed by clinical symptoms and ventilatory gas exchange. Pacing Clin Electrophysiol 2000;23:32-39.

10. Leung SK, Lau CP, Lam CT, et al. Programmed atrial sensitivity: A critical determinant in atrial fibrillation detection and optimal automatic mode switching. Pacing Clin Electrophysiol 1998;21:2214-2219.

11. Goethals M, Timmermans W, Geelen P, Backers J, Brugada P. Mode switching failure during atrial flutter: the “2:1 lock-in” phenomenon. Europace 2003;5:95-102.

12. Wyse DG. Selection of endpoints in atrial fibrillation studies. J Cardiovasc Electrophysiol 2002;13:S47-S52.

13. Glotzer T, Hellkamp A, Zimmerman J, et al, MOST Investigators. Atrial high rate episodes detected by pacemaker diagnostics predict death and stroke. Report of the Atrial Diagnostics Ancillary Study of the Mode Selection Trial (MOST). Circulation 2003;107:1614-1619.

14. Detollenaere M, van Wassenhove E, Jordaens L. Atrial arrhythmias in dual chamber pacing and their influence on long-term mortality. Pacing Clin Electrophysiol 1992;15:1846-1850.

15. Chamberlain-Webber R, Petersen MEV, Bries AI, Sutton R. Reason for reprogramming dual chamber pacemakers to VVI mode: a retrospective review using a computer database. Pacing Clin Electrophysiol 1994;17:1730-1736.

16. Passman RS, Weinberg KM, Freher M, et al. Accuracy of mode switch algorithms for detection of atrial tachyarrhythmias. J Cardiovasc Electrophysiol 2004;15:773-777.

17. Pollak WM, Simmons JD, Interian A, et al. Clinical utility of intraatrial pacemaker stored electrograms to diagnose atrial fibrillation and flutter. Pacing Clin Electrophysiol 2001;24Pt.1:424-429.

18. De Simone A, Senatore G, Turco P, Vitale DF, Romano E, Stabile G. Specificity of atrial mode switching in detecting atrial fibrillation episodes: Roles of length and continuity. Pacing Clin Electrophysiol 2005;28:S47-S49.

19. Isreael CW, Barold SS. Pacemakers systems as implantable cardiac rhythm monitors. Am J Cardiol 2001;88:442-445.

20. Isreael CW, Gronefeld G, Ehrlich J, Li YG, Hohnloser SH. Long-term risk of recurrent atrial fibrillation as documented by an implantable monitoring device. J Am Coll Cardiol 2004;43:47-52.

21. Fauchier L, Briand F, Soto FX, et al. Management of atrial tachyarrhythmias: Benefits of pacemakers diagnostics. Pacing Clin Electrophysiol 2003;26[Pt.II]:233-238.


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