Literature DB >> 8834684

Comparison of bipolar atrial electrogram amplitude in sinus rhythm, atrial fibrillation, and atrial flutter.

M A Wood1, P Moskovljevic, B S Stambler, K A Ellenbogen.   

Abstract

Automatic mode switching pacemakers revert to non-atrial tracking modes in response to sensed atrial tachyarrhythmias. It is unclear how atrial electrogram amplitudes in sinus rhythm compare to those during atrial tachyarrhythmias. In this study, peak-to-peak bipolar atrial electrogram amplitudes were measured during sinus rhythm and either atrial fibrillation or atrial flutter in 69 patients. The mean atrial electrogram amplitudes were 1.59 +/- 1.36 mV during sinus rhythm and 0.77 +/- 0.58 mV during atrial fibrillation (P < 0.0001) for 25 patients with atrial fibrillation and 1.81 +/- 2.07 mV during sinus and 1.5 +/- 1.81 mV (P < 0.0001) for 44 patients with atrial flutter. The mean electrogram amplitudes during both atrial fibrillation and flutter correlated significantly with amplitudes during sinus rhythm (R = 0.79, R = 0.94, respectively, both P < 0.0001). The coefficient of variance of individual electrogram amplitudes was greater in atrial fibrillation than sinus (P < 0.0001). By comparing 20th percentile electrogram amplitudes in atrial fibrillation and flutter to mean sinus amplitudes, intermittent very low electrogram amplitudes (< 0.3 mV) were more likely during atrial fibrillation and flutter if the mean sinus electrogram amplitudes were < 1.5 mV and < 0.5 mV, respectively (P < 0.01). Eightieth percentile electrogram amplitude values in atrial fibrillation and flutter were equally likely to exceed mean sinus amplitude values in respective patients. In conclusion, mean atrial electrogram amplitudes during atrial fibrillation and flutter are less than but correlated to sinus rhythm electrogram amplitudes. Very low amplitude individual electrograms during these atrial arrhythmias are associated with low mean sinus rhythm electrogram amplitudes. These findings may have implications for the programming of permanent dual chamber pacemakers in patients with paroxysmal atrial fibrillation and flutter.

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Year:  1996        PMID: 8834684     DOI: 10.1111/j.1540-8159.1996.tb03306.x

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


  7 in total

Review 1.  A reappraisal of pacemaker timing cycles pertaining to automatic mode switching.

Authors:  R X Stroobandt; S S Barold; F D Vandenbulcke; R J Willems; A F Sinnaeve
Journal:  J Interv Card Electrophysiol       Date:  2001-12       Impact factor: 1.900

2.  Inhibition of a dual chamber pacemaker by oversensing of far-field atrial depolarisation in a patient after His-bundle ablation.

Authors:  J H Ruiter; M J Barrett; L Weteling; R Jansen
Journal:  Neth Heart J       Date:  2004-12       Impact factor: 2.380

3.  Mechanisms Underlying AF: Triggers, Rotors, Other?

Authors:  David E Krummen; Shrinivas Hebsur; Jon Salcedo; Sanjiv M Narayan; Gautam G Lalani; Amir A Schricker
Journal:  Curr Treat Options Cardiovasc Med       Date:  2015-04

Review 4.  [Pacemaker therapy in patients with atrial fibrillation].

Authors:  A Schuchert; T Meinertz
Journal:  Herz       Date:  1998-06       Impact factor: 1.443

5.  Quantitatively characterizing drug-induced arrhythmic contractile motions of human stem cell-derived cardiomyocytes.

Authors:  Plansky Hoang; Nathaniel Huebsch; Shin Hyuk Bang; Brian A Siemons; Bruce R Conklin; Kevin E Healy; Zhen Ma; Sabir Jacquir
Journal:  Biotechnol Bioeng       Date:  2018-04-27       Impact factor: 4.530

6.  Far field R-wave sensing in Myotonic Dystrophy type 1: right atrial appendage versus Bachmann's bundle region lead placement.

Authors:  Vincenzo Russo; Gerardo Nigro; Andrea Antonio Papa; Anna Rago; Federica Di Meo; Anna Cristiano; Antonio Molino; Raffaele Calabrò; Maria Giovanna Russo; Luisa Politano
Journal:  Acta Myol       Date:  2014-10

7.  Quantification of Contractile Dynamic Complexities Exhibited by Human Stem Cell-Derived Cardiomyocytes Using Nonlinear Dimensional Analysis.

Authors:  Plansky Hoang; Sabir Jacquir; Stephanie Lemus; Zhen Ma
Journal:  Sci Rep       Date:  2019-10-11       Impact factor: 4.379

  7 in total

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