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阻塞性睡眠呼吸暂停患者阻塞性事件后觉醒模式的变化。

Variation in the arousal pattern after obstructive events in obstructive sleep apnea.

作者信息

Stradling J R, Pitson D J, Bennett L, Barbour C, Davies R J

机构信息

Osler Chest Unit, Churchill Hospital, Oxford, United Kingdom.

出版信息

Am J Respir Crit Care Med. 1999 Jan;159(1):130-6. doi: 10.1164/ajrccm.159.1.9805074.

DOI:10.1164/ajrccm.159.1.9805074
PMID:9872830
Abstract

The relationship between the severity of obstructive sleep apnea (OSA) (measured by sleep study) and daytime sleepiness is poor. Variation in the degree of arousal accompanying obstructive respiratory events might help explain this poor correlation. Polysomnographic records from patients with OSA were reviewed in order to extract representative examples of apneas and hypopneas (in 10 patients), as well as events both supine and decubitus (in 12 patients). The EEG accompanying each obstructive event was processed with a neural network technique to describe sleep depth on a second-by-second basis. The lengths of any visually evident microarousals were also measured manually. There was considerable interindividual variation in the degree of sleep disturbance using the neural network technique (p < 0.005), but not using the lengths of the visually scored microarousals (p = 0.6). The arousals accompanying apneic events caused greater variability in sleep depth quantified using the neural network technique (p = 0.03), and also lasted longer based on the visual scoring (mean, 12.6; SD, 1.7 s) than the hypopneic events (mean, 9.9; SD, 2.4 s; p = 0.02). There were no significant differences between events occurring supine versus decubitus with either technique (p = 0.7). These differences in arousal magnitude may explain some of the poor correlations between conventional measures of sleep apnea severity and daytime sleepiness.

摘要

阻塞性睡眠呼吸暂停(OSA)的严重程度(通过睡眠研究测量)与日间嗜睡之间的关系并不紧密。阻塞性呼吸事件伴随的觉醒程度变化可能有助于解释这种不良相关性。回顾了OSA患者的多导睡眠图记录,以提取呼吸暂停和低通气的代表性示例(10例患者),以及仰卧位和侧卧位时的事件(12例患者)。使用神经网络技术处理每个阻塞性事件伴随的脑电图,以逐秒描述睡眠深度。还手动测量了任何视觉上明显的微觉醒的时长。使用神经网络技术时,睡眠干扰程度存在相当大的个体差异(p < 0.005),但使用视觉评分的微觉醒时长时则不存在个体差异(p = 0.6)。呼吸暂停事件伴随的觉醒在使用神经网络技术量化的睡眠深度方面引起了更大的变异性(p = 0.03),并且根据视觉评分,其持续时间(平均值为12.6;标准差为1.7秒)也比低通气事件(平均值为9.9;标准差为2.4秒;p = 0.02)更长。两种技术在仰卧位与侧卧位发生的事件之间均无显著差异(p = 0.7)。觉醒程度的这些差异可能解释了睡眠呼吸暂停严重程度的传统测量指标与日间嗜睡之间一些不良相关性的原因。

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