Howarth Timothy, Tashakori Masoumeh, Karhu Tuomas, Rusanen Matias, Pitkänen Henna, Oksenberg Arie, Nikkonen Sami
Department of Technical Physics, University of Eastern Finland, Kuopio, Finland.
Darwin Respiratory and Sleep Health, Darwin Private Hospital, Darwin, NT, Australia.
Front Neurol. 2024 Apr 5;15:1367860. doi: 10.3389/fneur.2024.1367860. eCollection 2024.
Excessive daytime sleepiness (EDS) is a cause of low quality of life among obstructive sleep apnoea (OSA) patients. Current methods of assessing and predicting EDS are limited due to time constraints or differences in subjective experience and scoring. Electroencephalogram (EEG) power spectral densities (PSDs) have shown differences between OSA and non-OSA patients, and fatigued and non-fatigued patients. Therefore, polysomnographic EEG PSDs may be useful to assess the extent of EDS among patients with OSA.
Patients presenting to Israel Loewenstein hospital reporting daytime sleepiness who recorded mild OSA on polysomnography and undertook a multiple sleep latency test. Alpha, beta, and delta relative powers were assessed between patients categorized as non-sleepy (mean sleep latency (MSL) ≥10 min) and sleepy (MSL <10 min).
139 patients (74% male) were included for analysis. 73 (53%) were categorized as sleepy (median MSL 6.5 min). There were no significant differences in demographics or polysomnographic parameters between sleepy and non-sleepy groups. In multivariate analysis, increasing relative delta frequency power was associated with increased odds of sleepiness (OR 1.025 (95% CI 1.024-1.026)), while relative alpha and beta powers were associated with decreased odds. The effect size of delta PSD on sleepiness was significantly greater than that of either alpha or beta frequencies.
Delta PSD during polysomnography is significantly associated with a greater degree of objective daytime sleepiness among patients with mild OSA. Further research is needed to corroborate our findings and identify the direction of potential causal correlation between delta PSD and EDS.
日间过度嗜睡(EDS)是阻塞性睡眠呼吸暂停(OSA)患者生活质量低下的一个原因。由于时间限制或主观体验及评分的差异,目前评估和预测EDS的方法有限。脑电图(EEG)功率谱密度(PSD)已显示OSA患者与非OSA患者之间以及疲劳患者与非疲劳患者之间存在差异。因此,多导睡眠图EEG PSD可能有助于评估OSA患者的EDS程度。
到以色列洛温斯坦医院就诊并报告日间嗜睡的患者,其多导睡眠图记录为轻度OSA,并进行了多次睡眠潜伏期测试。在分类为非嗜睡(平均睡眠潜伏期(MSL)≥10分钟)和嗜睡(MSL<10分钟)的患者之间评估α、β和δ相对功率。
139例患者(74%为男性)纳入分析。73例(53%)被分类为嗜睡(中位MSL为6.5分钟)。嗜睡组和非嗜睡组在人口统计学或多导睡眠图参数方面无显著差异。在多变量分析中,相对δ频率功率增加与嗜睡几率增加相关(比值比1.025(95%置信区间1.024 - 1.026)),而相对α和β功率与嗜睡几率降低相关。δPSD对嗜睡的效应大小显著大于α或β频率。
多导睡眠图期间的δPSD与轻度OSA患者更严重程度的客观日间嗜睡显著相关。需要进一步研究来证实我们的发现,并确定δPSD与EDS之间潜在因果关系的方向。