Circadian variation of symptomatic paroxysmal atrial fibrillation; Data from almost 10,000 episodes

Sami Viskin*, M. Golovner, N. Malov, R. Fish, I. Alroy, Y. Vila, S. Laniado, E. Kaplinsky, A. Roth

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

97 Scopus citations

Abstract

Aims. To determine the circadian rhythm of paroxysmal atrial fibrillation in a very large outpatient population. Methods and Results. We reviewed all emergency telephone calls received in Shahal (a medical service covering 44,000 subscribers), from 1987 to 1997. Patients were included if new-onset atrial fibrillation was recorded. During this study period, 9989 episodes of paroxysmal atrial fibrillation were recorded. The time of was not uniformly distributed throughout the period. Instead, the distribution of arrhythmic episodes showed a double peak, with a significant increase in the number of episodes in the morning and a second rise in the evening (P < 0 .001). A non-uniform weekly distribution of events was also noted, with substantially fewer episodes on Saturdays (P < 0.001). Finally, more arrhythmias occurred during the last months of each year (P < 0.001). Conclusions. The onset of paroxysmal atrial fibrillation does not occur randomly. The large patient population in the present study suggests that the circadian rhythm of paroxysmal atrial fibrillation is similar to that described for other cardiovascular diseases, with clustering of events in the morning and (to a lesser degree) late in the evening. Weekly and yearly circadian patterns are also prominent.

Original languageEnglish
Pages (from-to)1429-1434
Number of pages6
JournalEuropean Heart Journal
Volume20
Issue number19
DOIs
StatePublished - Oct 1999
Externally publishedYes

Keywords

  • Atrial fibrillation
  • Circadian rhythm
  • Circadian variation

Fingerprint

Dive into the research topics of 'Circadian variation of symptomatic paroxysmal atrial fibrillation; Data from almost 10,000 episodes'. Together they form a unique fingerprint.

Cite this