Hasegawa Mizuki, Sasaki Mayuko, Umemoto Yui, Hayashi Rio, Hatanaka Akari, Hosoki Marino, Farag Ahmed, Matsuura Katsuhiro, Yoshida Tomohiko, Shimada Kazumi, Hamabe Lina, Takahashi Ken, Tanaka Ryou
Department of Veterinary Surgery, Tokyo University of Agriculture and Technology, Tokyo, Japan.
Yokohama Isogo Animal Hospital, Yokohama, Kanagawa, Japan.
Front Vet Sci. 2024 Apr 11;11:1386425. doi: 10.3389/fvets.2024.1386425. eCollection 2024.
Heart rate variability (HRV) is believed to possess the potential for disease detection. However, early identification of heart disease remains challenging, as HRV analysis in dogs primarily reflects the advanced stages of the disease.
HYPOTHESIS/OBJECTIVE: The aim of this study is to compare 24-h HRV with sleep HRV to assess the potential utility of sleep HRV analysis.
Thirty healthy dogs with no echocardiographic abnormalities were included in the study, comprising 23 females and 7 males ranging in age from 2 months to 8 years (mean [standard deviation], 1.4 [1.6]).
This study employed a cross-sectional study. 24-h HRV and sleep HRV were measured from 48-h Holter recordings. Both linear analysis, a traditional method of heart rate variability analysis, and nonlinear analysis, a novel approach, were conducted. Additionally, circadian rhythm parameters were assessed.
In frequency analysis of linear analysis, the parasympathetic index nHF was significantly higher during sleep compared to the mean 24-h period (mean sleep HRV [standard deviation] vs. mean 24 h [standard deviation], 95% confidence interval, value, r-family: 0.24 [0.057] vs. 0.23 [0.045], 0.006-0.031, = 0.005, = 0.49). Regarding time domain analysis, the parasympathetic indices SDNN and RMSSD were also significantly higher during sleep (SDNN: 179.7 [66.9] vs. 156.6 [53.2], 14.5-31.7, < 0.001, = 0.71 RMSSD: 187.0 [74.0] vs. 165.4 [62.2], 13.2-30.0, < 0.001, = 0.70). In a geometric method of nonlinear analysis, the parasympathetic indices SD1 and SD2 showed significantly higher values during sleep (SD1: 132.4 [52.4] vs. 117.1 [44.0], 9.3-21.1, < 0.001, = 0.70 SD2: 215.0 [80.5] vs. 185.9 [62.0], 17.6-40.6, < 0.001, = 0.69). Furthermore, the circadian rhythm items of the parasympathetic indices SDNN, RMSSD, SD1, and SD2 exhibited positive peaks during sleep.
The findings suggest that focusing on HRV during sleep can provide a more accurate representation of parasympathetic activity, as it captures the peak circadian rhythm items.
心率变异性（HRV）被认为具有疾病检测的潜力。然而，心脏病的早期识别仍然具有挑战性，因为犬类的HRV分析主要反映疾病的晚期阶段。
假设/目的：本研究的目的是比较24小时HRV和睡眠HRV，以评估睡眠HRV分析的潜在效用。
30只无超声心动图异常的健康犬纳入研究，其中23只雌性和7只雄性，年龄范围为2个月至8岁（平均[标准差]，1.4[1.6]）。
本研究采用横断面研究。通过48小时动态心电图记录测量24小时HRV和睡眠HRV。同时进行了心率变异性分析的传统方法线性分析和新方法非线性分析。此外，还评估了昼夜节律参数。
在线性分析的频率分析中，与24小时平均时段相比，睡眠期间副交感神经指数nHF显著更高（平均睡眠HRV[标准差]与平均24小时[标准差]，95%置信区间，p值，r族：0.24[0.057]对0.23[0.045]，0.006 - 0.031，p = 0.005，r = 0.49）。在时域分析中，睡眠期间副交感神经指数SDNN和RMSSD也显著更高（SDNN：179.7[66.9]对156.6[53.2]，14.5 - 31.7，p < 0.001，r = 0.71；RMSSD：187.0[74.0]对165.4[62.2]，13.2 - 30.0，p < 0.001，r = 0.70）。在非线性分析的几何方法中，睡眠期间副交感神经指数SD1和SD2显示出显著更高的值（SD1：132.4[52.4]对117.1[44.0]，9.3 - 21.1，p < 0.001，r = 0.70；SD2：215.0[80.5]对185.9[62.0]，17.6 - 40.6，p < 0.001，r = 0.69）。此外，副交感神经指数SDNN、RMSSD、SD1和SD2的昼夜节律项目在睡眠期间呈现正峰值。
研究结果表明，关注睡眠期间的HRV可以更准确地反映副交感神经活动，因为它捕捉到了昼夜节律项目的峰值。
