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Robotic Ablation of Atrial Fibrillation
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Sleep characteristics that predict atrial fibrillation.

Matthew A Christensen1, Shalini Dixit2, Thomas A Dewland3

  • 1Electrophysiology Section, Division of Cardiology, Department of Medicine, University of California, San Francisco, California; Department of Internal Medicine, University of Utah Medical School, Salt Lake City, Utah.

Heart Rhythm
|July 1, 2018
PubMed
Summary

Poor sleep quality, including frequent nighttime awakenings and reduced REM sleep, is a significant risk factor for atrial fibrillation (AF). This sleep disruption predicts AF independently of obstructive sleep apnea (OSA), suggesting sleep quality as a novel prevention target.

Keywords:
Atrial fibrillationInsomniaObstructive sleep apneaRapid eye movement (REM) sleep

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Area of Science:

  • Cardiology
  • Sleep Medicine
  • Epidemiology

Background:

  • The independent association between sleep disruption and atrial fibrillation (AF) remains largely unexplored, particularly excluding obstructive sleep apnea (OSA).
  • Understanding this relationship is crucial for identifying novel risk factors and preventive strategies for AF.

Purpose of the Study:

  • To investigate whether poor sleep quality, independent of OSA, serves as a significant risk factor for the development of AF.
  • To determine the predictive value of specific sleep disturbances, such as nighttime awakenings and reduced REM sleep, on AF incidence.

Main Methods:

  • Analysis of large participant cohorts from the Health eHeart Study and the Cardiovascular Health Study.
  • Inclusion of polysomnography data to assess sleep architecture and examination of real-world healthcare data from California.
  • Longitudinal follow-up periods to track AF incidence and adjust for potential confounders, including OSA.

Main Results:

  • Frequent nighttime awakenings were associated with a significantly higher risk of AF in both the Health eHeart (OR 1.47) and Cardiovascular Health Study (HR 1.33) cohorts.
  • Reduced rapid eye movement (REM) sleep was linked to an increased risk of developing AF (HR 1.18) in patients undergoing polysomnography.
  • An insomnia diagnosis predicted a 36% increased risk of new AF in a large population-based study.

Conclusions:

  • Sleep disruption, including frequent awakenings and insomnia, consistently predicts AF risk across diverse populations, independent of OSA.
  • Sleep quality itself appears to play a role in the pathogenesis of AF.
  • Targeting sleep quality may represent a novel therapeutic avenue for AF prevention.