Suppr超能文献

针对阻塞性睡眠呼吸暂停,从清醒到睡眠状态下的上呼吸道变化的声学特征。

Acoustic characterization of upper airway variations from wakefulness to sleep with respect to obstructive sleep apnea.

机构信息

Biomedical Engineering Program, University of Manitoba, Winnipeg, MB, Canada.

Department of Internal Medicine, Section of Respirology, University of Manitoba, Winnipeg, MB, Canada.

出版信息

Med Biol Eng Comput. 2020 Oct;58(10):2375-2385. doi: 10.1007/s11517-020-02234-5. Epub 2020 Jul 27.

Abstract

The upper airway (UA) is in general thicker and narrower in obstructive sleep apnea (OSA) population than in normal. Additionally, the UA changes during sleep are much more in the OSA population. The UA changes can alter the tracheal breathing sound (TBS) characteristics. Therefore, we hypothesize the TBS changes from wakefulness to sleep are significantly correlated to the OSA severity; thus, they may represent the physiological characteristics of the UA. To investigate our hypothesis, we recorded TBS of 18 mild-OSA (AHI < 15) and 22 moderate/severe-OSA (AHI > 15) during daytime (wakefulness) and then during sleep. The power spectral density (PSD) of the TBS was calculated and compared within the two OSA groups and between wakefulness and sleep. The average PSD of the mild-OSA group in the low-frequency range (< 280 Hz) was found to be decreased significantly from wakefulness to sleep (p-value < 10). On the other hand, the average PSD of the moderate/severe-OSA group in the high-frequency range (> 900 Hz) increased marginally significantly from wakefulness to sleep (p-value < 9 × 10). Our findings show that the changes in spectral characteristics of TBS from wakefulness to sleep correlate with the severity of OSA and can represent physiological variations of UA. Therefore, TBS analysis has the potentials to assist with diagnosis and clinical management decisions in OSA patients based on their OSA severity stratification; thus, obviating the need for more expensive and time-consuming sleep studies. Graphical abstract Tracheal breathing sound (TBS) changes from wakefulness to sleep and their correlation with Obstructive sleep apnea (OSA) were investigated in individuals with different levels of OSA severity. We also assessed the classification power of the spectral characteristics of these TBS for screening purposes. Consequently, we analyzed and compared spectral characteristics of TBS recorded during wakefulness (a combination of mouth and nasal TBS) to those during sleep for mild and moderate/severe OSA groups.

摘要

上呼吸道(UA)在阻塞性睡眠呼吸暂停(OSA)人群中通常比在正常人群中更厚、更窄。此外,OSA 人群在睡眠期间 UA 的变化更大。UA 的变化会改变气管呼吸音(TBS)的特征。因此,我们假设从清醒到睡眠期间 TBS 的变化与 OSA 的严重程度显著相关;因此,它们可能代表 UA 的生理特征。为了验证我们的假设,我们记录了 18 名轻度 OSA(AHI<15)和 22 名中重度/重度 OSA(AHI>15)患者在白天(清醒)和睡眠期间的 TBS。计算并比较了两组 OSA 患者 TBS 的功率谱密度(PSD),并比较了清醒和睡眠之间的 TBS。发现轻度 OSA 组的平均 PSD 在低频范围(<280 Hz)从清醒到睡眠显著降低(p 值<10)。另一方面,中重度/重度 OSA 组的平均 PSD 在高频范围(>900 Hz)从清醒到睡眠略有显著增加(p 值<9×10)。我们的研究结果表明,TBS 从清醒到睡眠的频谱特征变化与 OSA 的严重程度相关,并且可以代表 UA 的生理变化。因此,TBS 分析有可能根据 OSA 严重程度分层来辅助 OSA 患者的诊断和临床管理决策,从而避免需要更昂贵和耗时的睡眠研究。

图摘要 我们研究了不同 OSA 严重程度个体中从清醒到睡眠的气管呼吸音(TBS)变化及其与阻塞性睡眠呼吸暂停(OSA)的关系,还评估了这些 TBS 用于筛查的频谱特征的分类能力。因此,我们分析并比较了轻度和中重度/重度 OSA 组在清醒(口鼻 TBS 组合)和睡眠期间记录的 TBS 的频谱特征。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验