Lin Chen, Lo Men-Tzung, Guilleminault Christian
Stanford University Sleep Medicine Division, Stanford University, Redwood, CA, United States.
Department of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan.
Front Med (Lausanne). 2017 Sep 28;4:161. doi: 10.3389/fmed.2017.00161. eCollection 2017.
Patients with nasal flow limitation and upper airway resistance syndrome (UARS) during sleep can present with low blood pressure and disturbing symptoms associated with hypervagotony. We hypothesized that the dynamic changes of the autonomic system related to inspiratory flow limitation can be quantified by the developed analytic technique applied on beat-to-beat heart rate (RR intervals) and finger photoplethysmography (PPG).
A breath-by-breath investigation based on the Hilbert-Huang transform was performed to explore autonomic nervous system changes observed during inspiratory flow limitation. Autonomic status was quantified from beat-to-beat heart rate analysis by high frequency (RR; 0.15-0.4 Hz), low frequency (RR; 0.04-0.15 Hz), and LF/HF ratio of each respiratory cycle. Based on respiratory-related mechanisms contained in the PPG signal, we further quantified the respiratory-related oscillations (PPG). Based on esophageal pressure and nasal flow measurements, each respiratory cycle was identified and breathing patterns were classified into one of four groups: normal, inspiratory flow limitation cycles without increased effort [FL(-)], minimal inspiratory flow limitation with effort, and inspiratory flow limitation cycles with increased effort [FL(+)]. The resulting quantitative parameters of the identified cycles were calculated.
49 UARS patients (12 males; aged 26.8 ± 5.8 years) with apnea-hypopnea index (AHI) 3.1 ± 1.5 per hour and nine aged matched control subjects (3 males; aged 27.8 ± 4.0 years) with AHI 0.8 ± 1.1 per hour were retrospectively identified. Compared to the control group, hyperactivation of the parasympathetic system was noted during stage 2 NREM sleep by RR (27.8 ± 18.2 vs 22.5 ± 11.12, < 0.05) in 49 UARS patients. Analysis of the different classifications of respiratory cycles indicated that during "high" (increased) respiratory efforts, the RR and PPG were significantly higher compared to "normal cycle" and "FL(-)" groups. The RR/RR (an index of sympathetic activity) was significantly lower in the "FL(+)" group (1.66 ± 0.80) than in the "normal cycle" (1.93 ± 0.97, < 0.05) and "FL(-)" groups (2.01 ± 1.01, < 0.05).
The proposed algorithm allows quantifying the temporal changes of specific mechanisms of the autonomic system on breath-by-breath basis. With no or very limited impact on oxygen saturation, the hyperactivation of parasympathetic system in associated with inspiratory flow limitation or increased respiratory efforts during stage 2 NREM sleep has been presented in this study.
睡眠期间存在鼻气流受限和上气道阻力综合征(UARS)的患者可能会出现低血压以及与迷走神经功能亢进相关的令人不适的症状。我们推测,通过应用于逐搏心率(RR间期)和手指光电容积脉搏波描记法(PPG)的已开发分析技术,可以量化与吸气气流受限相关的自主神经系统的动态变化。
基于希尔伯特-黄变换进行逐次呼吸研究,以探索吸气气流受限时观察到的自主神经系统变化。通过对每个呼吸周期的高频(RR;0.15 - 0.4Hz)、低频(RR;0.04 - 0.15Hz)以及低频/高频比值进行逐搏心率分析来量化自主神经状态。基于PPG信号中包含的呼吸相关机制,我们进一步量化呼吸相关振荡(PPG)。基于食管压力和鼻气流测量,识别每个呼吸周期并将呼吸模式分为四组之一:正常、无用力增加的吸气气流受限周期[FL(-)]、有用力的最小吸气气流受限以及有用力增加的吸气气流受限周期[FL(+)]。计算所识别周期的最终定量参数。
回顾性确定了49例UARS患者(12例男性;年龄26.8±5.8岁),其呼吸暂停低通气指数(AHI)为每小时3.1±1.5次,以及9例年龄匹配的对照受试者(3例男性;年龄27.8±4.0岁),其AHI为每小时0.8±1.1次。与对照组相比,49例UARS患者在非快速眼动睡眠2期通过RR测量发现副交感神经系统过度激活(27.8±18.2对22.5±11.12,P<0.05)。对呼吸周期不同分类的分析表明,在“高”(增加)呼吸用力期间,RR和PPG与“正常周期”和“FL(-)”组相比显著更高。“FL(+)”组的RR/RR(交感神经活动指数)显著低于“正常周期”组(1.93±0.97,P<0.05)和“FL(-)”组(2.01±1.01,P<0.05)。
所提出的算法能够在逐次呼吸的基础上量化自主神经系统特定机制的时间变化。本研究表明,在非快速眼动睡眠2期,与吸气气流受限或呼吸用力增加相关的副交感神经系统过度激活对血氧饱和度没有或只有非常有限的影响。