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Upper airway resistance changes from inspiration to expiration during wakefulness is a predictor of sleep apnea: A pilot study

机译:一项初步研究表明,清醒期间上呼吸道阻力从吸气到呼气变化是睡眠呼吸暂停的预测指标

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Upper airway structure is known to be affected in individuals with obstructive sleep apnea (OSA). In this pilot study, we investigated whether the changes of upper airway resistance (UAR) within a breathing phase, estimated from tracheal breathing sounds and airflow, is a predictor of OSA severity. Tracheal breathing sounds and airflow of 15 individuals in three groups of mild, moderate and severe OSA during wakefulness, recorded in supine position, were used in this study. The grouping of the study subjects were done based on their apnea/hypopnea index (AHI) per hour, prospectively. The breathing sounds and airflow were recorded simultaneously with full overnight polysomnography (PSG) assessment. The sounds of 3 noise-free breathing cycles were extracted and sequestered into inspiratory and expiratory phase segments manually for each study subject. The power spectra of the sound signals of each respiratory phase were calculated in 15ms windows with 50% overlap between adjacent windows. The UAR was then estimated as the ratio of the energy of power spectrum of each window within 100 to 2500 Hz, and its corresponding airflow. Then, the variance of the short-time windows' UAR, Var(UAR) during each respiratory phase was calculated. The ratio of the Var(UAR) in logarithmic scale between inspiration and expiration was found to be significantly different (p<;0.01) between the three OSA groups; also it was found to be highly correlated with AHI. These results are congruent with the hypothesis that the upper airway patency is not kept constant in OSA population, and suggest the change in acoustic UAR during wakefulness maybe considered as a predictor of OSA.
机译:已知阻塞性睡眠呼吸暂停(OSA)患者的上呼吸道结构受到影响。在这项初步研究中,我们调查了根据气管呼吸声和气流估计的呼吸阶段上呼吸道阻力(UAR)的变化是否是OSA严重程度的预测指标。在这项研究中,采用仰卧位记录的三组轻度,中度和重度OSA觉醒期间的15个人的气管呼吸声和气流。前瞻性地根据每小时的呼吸暂停/呼吸不足指数(AHI)对研究对象进行分组。呼吸声和气流与完整的通宵多导睡眠图(PSG)评估同时记录。提取了3个无噪音呼吸周期的声音,并针对每个研究对象手动将其隔离为吸气和呼气阶段段。在15ms的窗口中计算每个呼吸阶段的声音信号的功率谱,相邻窗口之间有50%的重叠。然后,将UAR估计为每个窗口在100到2500 Hz之间的功率谱能量与其相应气流的比值。然后,计算每个呼吸阶段的短时窗UAR,Var(UAR)的方差。在三个OSA组之间,吸气和呼气之间的对数标度中的Var(UAR)比率显着不同(p <; 0.01)。还发现它与AHI高度相关。这些结果与OSA人群中上呼吸道通畅性未保持恒定的假设相吻合,并表明清醒过程中声学UAR的变化可能被认为是OSA的预测指标。

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