Literature DB >> 12765452

Relation of age and sex to atrial electrophysiological properties in patients with no history of atrial fibrillation.

Koichi Sakabe1, Nobuo Fukuda, Takeshi Soeki, Hisanori Shinohara, Yoshiyuki Tamura, Tetsuzo Wakatsuki, Akiyoshi Nishikado, Takashi Oki.   

Abstract

Although atrial fibrillation is a common arrhythmia, especially in elderly men, little is known about age related changes in atrial electrophysiological properties or gender differences. The aim of this study was to analyze the effects of aging on vulnerability to atrial fibrillation and assessed gender differences in those age related changes. An electrophysiological study was performed on 73 patients with no history of atrial fibrillation, structural heart disease, or conditions with potential effects on cardiac hemodynamic or electrophysiological function, including 25 women (mean age 49 +/- 18 years; range 12-84 years). The following atrial excitability parameters were assessed: spontaneous or paced (A1) and extrastimulated (A2) atrial electrogram widths, percent maximum atrial fragmentation (A2/A1 x 100), effective refractory period, wavelength index (effective refractory period/A2), and inducibility of atrial fibrillation. There were no significant differences in percent maximum atrial fragmentation (143 +/- 28 vs 142 +/- 35%), effective refractory period (241 +/- 39 vs 238 +/- 50 ms), wavelength index (2.9 +/- 0.8 vs 3.1 +/- 0.9), induction of atrial fibrillation (10 [21%] vs 7 [28%]), or age (50 +/- 17 vs 49 +/- 20 years) between men and women. Age was not statistically different between those patients with and without induction of atrial fibrillation in men (48 +/- 14 vs 50 +/- 18 years) and women (48 +/- 18 vs 49 +/- 21 years). Percent maximum atrial fragmentation and effective refractory period were directly correlated with age in men (r = 0.35, P = 0.01; r = 0.46, P < 0.001, respectively) and women (r = 0.42, P = 0.04; r = 0.45, P = 0.02, respectively), though wavelength index did not correlate with age in men (r = -0.04) or women (r = -0.04) with no history of atrial fibrillation. Considering these findings, the authors conclude that the mechanism triggering atrial fibrillation may be different between older and younger patients with atrial fibrillation, because younger patients who have no marked substrate for atrial fibrillation may need many trigger beats to induce atrial fibrillation.

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Year:  2003        PMID: 12765452     DOI: 10.1046/j.1460-9592.2003.t01-1-00174.x

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


  8 in total

1.  Longitudinal relationships of periodic limb movements during sleep and incident atrial fibrillation.

Authors:  Anna M May; Terri Blackwell; Katie L Stone; Peggy M Cawthon; William H Sauer; Paul D Varosy; Susan Redline; Brian B Koo; Reena Mehra
Journal:  Sleep Med       Date:  2016-09-03       Impact factor: 3.492

2.  Predictors of successful cardioversion with vernakalant in patients with recent-onset atrial fibrillation.

Authors:  Natalia Mochalina; Tord Juhlin; Bertil Öhlin; Jonas Carlson; Fredrik Holmqvist; Pyotr G Platonov
Journal:  Ann Noninvasive Electrocardiol       Date:  2014-07-09       Impact factor: 1.468

3.  Central Sleep-disordered Breathing Predicts Incident Atrial Fibrillation in Older Men.

Authors:  Anna M May; Terri Blackwell; Peter H Stone; Katie L Stone; Peggy M Cawthon; William H Sauer; Paul D Varosy; Susan Redline; Reena Mehra
Journal:  Am J Respir Crit Care Med       Date:  2016-04-01       Impact factor: 21.405

4.  Atrial electrophysiologic abnormalities in patients with Wolff-Parkinson-White syndrome but without paroxysmal atrial fibrillation.

Authors:  Koichi Sakabe; Nobuo Fukuda; Teru Nada; Hisanori Shinohara; Yoshiyuki Tamura; Tetsuzo Wakatsuki; Akiyoshi Nishikado; Takashi Oki
Journal:  Clin Cardiol       Date:  2004-07       Impact factor: 2.882

5.  Atrial arrhythmia in ageing spontaneously hypertensive rats: unraveling the substrate in hypertension and ageing.

Authors:  Dennis H Lau; Nicholas J Shipp; Darren J Kelly; Shivshankar Thanigaimani; Melissa Neo; Pawel Kuklik; Han S Lim; Yuan Zhang; Karen Drury; Christopher X Wong; Nicholas H Chia; Anthony G Brooks; Hany Dimitri; David A Saint; Lindsay Brown; Prashanthan Sanders
Journal:  PLoS One       Date:  2013-08-27       Impact factor: 3.240

6.  The extent of complex fractionated atrial electrograms in the left atrium reflects age-related electrical remodeling in patients with persistent atrial fibrillation.

Authors:  Yae Min Park; Dae In Lee; Hwan Cheol Park; Jaemin Shim; Jong-Il Choi; Sang Weon Park; Young-Hoon Kim
Journal:  J Arrhythm       Date:  2019-10-17

7.  Comparison of Atrial Fibrillation in the Young versus That in the Elderly: A Review.

Authors:  Rajiv Sankaranarayanan; Graeme Kirkwood; Katharine Dibb; Clifford J Garratt
Journal:  Cardiol Res Pract       Date:  2013-01-22       Impact factor: 1.866

8.  Unlocking data sets by calibrating populations of models to data density: A study in atrial electrophysiology.

Authors:  Brodie A J Lawson; Christopher C Drovandi; Nicole Cusimano; Pamela Burrage; Blanca Rodriguez; Kevin Burrage
Journal:  Sci Adv       Date:  2018-01-10       Impact factor: 14.136

  8 in total

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