The Health Observatory, Adelaide Medical School, University of Adelaide, The Queen Elizabeth Hospital Campus, Woodville, Australia.
Freemasons Foundation Centre for Men's Health, Adelaide Medical School, University of Adelaide, Adelaide, Australia.
Sleep. 2019 Jul 8;42(7). doi: 10.1093/sleep/zsz092.
Quantitative electroencephalography (EEG) measures of sleep may identify vulnerability to obstructive sleep apnea (OSA) sequelae, however, small clinical studies of sleep microarchitecture in OSA show inconsistent alterations. We examined relationships between quantitative EEG measures during rapid eye movement (REM) and non-REM (NREM) sleep and OSA severity among a large population-based sample of men while accounting for insomnia.
All-night EEG (F4-M1) recordings from full in-home polysomnography (Embletta X100) in 664 men with no prior OSA diagnosis (age ≥ 40) were processed following exclusion of artifacts. Power spectral analysis included non-REM and REM sleep computed absolute EEG power for delta, theta, alpha, sigma, and beta frequency ranges, total power (0.5-32 Hz) and EEG slowing ratio.
Apnea-hypopnea index (AHI) ≥10/h was present in 51.2% (severe OSA [AHI ≥ 30/h] 11.6%). In mixed effects regressions, AHI was positively associated with EEG slowing ratio and EEG power across all frequency bands in REM sleep (all p < 0.05); and with beta power during NREM sleep (p = 0.06). Similar associations were observed with oxygen desaturation index (3%). Percentage total sleep time with oxygen saturation <90% was only significantly associated with increased delta, theta, and alpha EEG power in REM sleep. No associations with subjective sleepiness were observed.
In a large sample of community-dwelling men, OSA was significantly associated with increased EEG power and EEG slowing predominantly in REM sleep, independent of insomnia. Further study is required to assess if REM EEG slowing related to nocturnal hypoxemia is more sensitive than standard PSG indices or sleepiness in predicting cognitive decline.
睡眠的定量脑电图(EEG)测量可能可以识别阻塞性睡眠呼吸暂停(OSA)后遗症的易感性,然而,关于 OSA 中睡眠微结构的小型临床研究显示出不一致的改变。我们在考虑失眠的情况下,研究了 REM 和非 REM(NREM)睡眠期间定量 EEG 测量与 OSA 严重程度之间的关系,研究对象为一个大型基于人群的男性样本。
对 664 名没有 OSA 既往诊断(年龄≥40 岁)的男性进行全夜在家多导睡眠图(Embletta X100)的整夜 EEG(F4-M1)记录,排除了伪迹。功率谱分析包括 NREM 和 REM 睡眠的 delta、theta、alpha、sigma 和 beta 频带的计算绝对 EEG 功率、总功率(0.5-32 Hz)和 EEG 减速比。
51.2%(严重 OSA [AHI≥30/h]为 11.6%)的患者存在呼吸暂停低通气指数(AHI)≥10/h。在混合效应回归中,AHI 与 REM 睡眠中所有频带的 EEG 减速比和 EEG 功率呈正相关(均 p<0.05);与 NREM 睡眠中的 beta 功率呈正相关(p=0.06)。类似的关联也存在于氧减指数(3%)中。总睡眠时间的百分比与氧饱和度<90%相关,仅与 REM 睡眠中 delta、theta 和 alpha EEG 功率增加显著相关。未观察到与主观嗜睡的关联。
在一个大型的社区居住男性样本中,OSA 与 REM 睡眠中 EEG 功率和 EEG 减速的增加显著相关,这与失眠无关。需要进一步研究以评估与夜间低氧血症相关的 REM EEG 减速是否比标准 PSG 指数或嗜睡更能预测认知能力下降。