伴阻塞性睡眠呼吸暂停的发作性睡病的睡眠脑电频谱特征更接近发作性睡病而非阻塞性睡眠呼吸暂停
The sleep EEG spectral profile of narcolepsy with comorbid obstructive sleep apnea more closely resembles narcolepsy than obstructive sleep apnea.
文献信息
| PMID | 42833132 |
|---|---|
| 原文 | 在 PubMed 查看原文 ↗ |
| 发表日期 | 2026 |
| 作者 | Xing Xu |
| 作者单位 | Department of Neurology and Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, China. |
| 期刊 | Sleep medicine |
| SCI 分区 | Q1 |
| IF | 4.5 |
| 研究类型 | 临床研究 · 临床 |
| 所属专科 | 耳科 |
中文摘要
背景： 发作性睡病（NT）与阻塞性睡眠呼吸暂停（OSA）常共存，但伴发OSA的发作性睡病（NT-OSA）的睡眠脑电图（EEG）频谱特征仍不清楚。我们在多导睡眠图（PSG）和多次睡眠潜伏期试验（MSLT）中比较了NT-OSA、NT和OSA的频谱功率。
方法： 我们回顾性分析了224例未经治疗的日间过度嗜睡成人（37例NT-OSA、77例NT和110例OSA）；39例主观嗜睡对照（SSC）被纳入二次分析。计算中央区和枕区的相对EEG频谱功率，并使用年龄和性别校正的线性模型进行比较。以OSA和SSC作为参照组，评估效应量谱相关性。
结果： NT-OSA在多项EEG频谱指标上与OSA不同，但很少与NT不同。在PSG期间，NT-OSA在N1和REM睡眠中显示比OSA更高的枕区alpha功率和更低的delta功率。在MSLT期间，其显示比OSA更高的中央区theta功率（N1）、更低的sigma（N1）和更低的beta（N2）功率。以OSA或SSC作为参照组时，NT-OSA与NT的效应量谱均高度相关（分别为ρ = 0.76和0.78；均P < 0.001）。在额外校正呼吸暂停低通气指数和觉醒指数后，PSG差异不再显著，而若干MSLT差异仍显著。
结论： 在PSG和MSLT中，NT-OSA表现出的睡眠EEG频谱特征更接近NT而非OSA。这些频谱模式值得进一步评估其在评估OSA和EDS患者中共存NT的潜在作用。
英文摘要
BACKGROUND: Narcolepsy (NT) and obstructive sleep apnea (OSA) frequently coexist, yet the sleep electroencephalographic (EEG) spectral profile of narcolepsy with comorbid OSA (NT-OSA) remains unclear. We compared spectral power among NT-OSA, NT, and OSA across polysomnography (PSG) and Multiple Sleep Latency Test (MSLT).
METHODS: We retrospectively analyzed 224 treatment-naïve adults with excessive daytime sleepiness (37 NT-OSA, 77 NT, and 110 OSA); 39 subjectively sleepy controls (SSC) were included in a secondary analysis. Relative EEG spectral power was calculated in central and occipital regions and compared using age- and sex-adjusted linear models. Effect-size profile correlations were assessed using OSA and SSC as reference groups.
RESULTS: NT-OSA differed from OSA in multiple EEG spectral measures but rarely from NT. During PSG, NT-OSA showed higher occipital alpha and lower delta power than OSA in N1 and REM sleep. During MSLT, it showed higher central theta power (N1), lower sigma (N1) and lower beta (N2) power than OSA. The NT-OSA and NT effect-size profiles were strongly correlated using either OSA or SSC as the reference group (ρ = 0.76 and 0.78, respectively; both P < 0.001). After additional adjustment for apnea-hypopnea index and arousal index, PSG differences were no longer significant, whereas several MSLT differences remained significant.
CONCLUSION: NT-OSA exhibited a sleep EEG spectral profile more closely resembling that of NT than that of OSA across PSG and MSLT. These spectral patterns warrant further evaluation for their potential role in the assessment of coexisting NT in patients with OSA and EDS.