Division of Biostatistics, School of Public Health, University of Minnesota, A460 Mayo Building, MMC 303, 420 Delaware St. SE, Minneapolis, MN, 55455, United States.
Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, 300 West Bank Office Building, 1300 S. 2(nd) St., Minneapolis, MN 55454, United States.
J Electrocardiol. 2020 Nov-Dec;63:98-103. doi: 10.1016/j.jelectrocard.2020.10.013. Epub 2020 Oct 30.
Paroxysmal atrial fibrillation (AF) is challenging to diagnose due to its intermittent nature. Circadian rhythmicity has been reported for cardiovascular events such as myocardial infarction; whether diurnal variation exists for paroxysmal AF is less known. We characterized the temporal pattern of AF initiation in the Atherosclerosis Risk in Communities (ARIC) study, a prospective community-based cohort study.
We included 74 ARIC study participants with paroxysmal AF detected by the Zio XT Patch at ARIC Visit 6 in 2016-17. We divided each participant's 2-week continuous monitoring data into 3-h intervals and summed the number of AF episodes in each interval. We performed Poisson regression using generalized estimating equations to estimate the effect of time of day on the number of AF episodes.
Compared to the reference interval of time 00:00-02:59, the time intervals 12:00-14:59, 15:00-17:59, and 18:00-20:59 had significantly higher frequency of AF initiation. Rate ratios (95% CI) for mean number of episodes in these three intervals were 1.91 (1.11, 2.92), 2.54 (1.42, 4.53), and 1.99 (1.19, 3.25) respectively. Furthermore, we found no significant association between duration of episode and time of day.
There is diurnal variation in the initiation of AF episodes, with a peak in frequency in the late afternoon. Our finding is consistent with sympathetically driven AF. Pulse palpation or obtaining an electrocardiogram in the late afternoon may produce the highest diagnostic yield for AF.
阵发性心房颤动(AF)因其间歇性而难以诊断。心血管事件如心肌梗死的昼夜节律性已有报道;阵发性 AF 是否存在昼夜变化知之甚少。我们在动脉粥样硬化风险社区(ARIC)研究中描述了 AF 发作的时间模式,这是一项前瞻性的基于社区的队列研究。
我们纳入了 74 名在 2016-17 年 ARIC 访问 6 期间通过 Zio XT 贴片检测到阵发性 AF 的 ARIC 研究参与者。我们将每个参与者的 2 周连续监测数据分为 3 小时间隔,并将每个间隔的 AF 发作次数相加。我们使用广义估计方程进行泊松回归,以估计时间对 AF 发作次数的影响。
与参考间隔 00:00-02:59 相比,12:00-14:59、15:00-17:59 和 18:00-20:59 三个时间间隔的 AF 发作频率明显更高。这三个间隔的平均发作次数的比率比(95%CI)分别为 1.91(1.11,2.92)、2.54(1.42,4.53)和 1.99(1.19,3.25)。此外,我们发现发作持续时间与时间无显著关联。
AF 发作存在昼夜变化,下午晚些时候频率达到峰值。我们的发现与交感神经驱动的 AF 一致。下午晚些时候进行脉搏触诊或获取心电图可能会产生 AF 的最高诊断收益。