TY - T1的量化咽阻塞在睡眠时使用气流的大小形状JF -欧洲呼吸杂志》乔和J - 10.1183/13993003.02262 -2018欧元六世- 54 - 1 SP - 1802262 AU -曼,德维恩l . AU - Terrill菲利普。非盟- Azarbarzin阿里AU -马里安尼,萨拉非盟- Franciosini,安吉洛盟——CamassaAlessandra AU - Georgeson, Thomas AU - Marques, Melania AU - Taranto-Montemurro, Luigi AU - Messineo, Ludovico AU - Redline, Susan AU - Wellman, Andrew AU - Sands，对咽气流阻塞严重程度的无创量化将有助于识别睡眠呼吸暂停的梗阻性和中枢性表现，识别有严重气流阻塞症状的个体，尽管有低呼吸暂停低通气指数(AHI)。在这里，我们提供了一种新颖的方法，该方法使用来自夜间睡眠研究中个体呼吸的简单气流-时间(“形状”)特征，在没有食管插管的情况下，自动和无创量化气流阻塞的严重程度。方法41名疑似/确诊阻塞性睡眠呼吸暂停患者(AHI范围0-91事件·h−1)接受夜间多导睡眠图检查，并采用金标准测量气流(口鼻气动力:“flow”)和通气驱动(校准食管内膈肌电图:“drive”)。阻塞严重程度定义为一个连续变量(流量:驱动比)。多变量回归使用气流形状特征(吸气/呼气时机、平直度、铲球、飘动)来估计136264次呼吸中的流量:驱动比(表现基于一个病人离开的交叉验证)。在一个亚组(n=17)同时记录鼻压进行重复分析。结果金标准的阻塞严重程度(流量:驱动比)在独立于AHI的个体中差异很大。 A multivariable model (25 features) estimated obstruction severity breath-by-breath (R2=0.58 versus gold-standard, p<0.00001; mean absolute error 22%) and the median obstruction severity across individual patients (R2=0.69, p<0.00001; error 10%). Similar performance was achieved using nasal pressure.Conclusions The severity of pharyngeal obstruction can be quantified non-invasively using readily available airflow shape information. Our work overcomes a major hurdle necessary for the recognition and phenotyping of patients with obstructive sleep disordered breathing.The degree of pharyngeal airflow obstruction varies widely for any given OSA severity (apnoea–hypopnoea index) and is challenging to measure. Here we combine information from automated flow shape to accurately estimate the severity of airflow obstruction. http://bit.ly/2uYD0rf ER -