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Dynamic Drug-Induced Sleep Computed Tomography in Adults With Obstructive Sleep Apnea

机译:动态药物诱导睡眠计算机断层扫描在成人阻塞性睡眠呼吸暂停

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摘要

Surgical success for obstructive sleep apnea (OSA) depends on identifying sites of obstruction in the upper airway. In this study, we investigated sites of obstruction by evaluating dynamic changes in the upper airway using drug-induced sleep computed tomography (DI-SCT) in patients with OSA. Thirty-five adult patients with OSA were prospectively enrolled. Sleep was induced with propofol under light sedation (bispectral index 70-75), and low-dose 320-detector row CT was performed for 10?seconds over a span of 2-3 respiratory cycles with supporting a continuous positive airway pressure model. Most (89%) of the patients had multi-level obstructions. Total obstruction most commonly occurred in the velum (86%), followed by the tongue (57%), oropharyngeal lateral wall (49%), and epiglottis (26%). There were two types of anterior-posterior obstruction of the soft palate, uvular (94%) and velar (6%), and three types of tongue obstruction, upper (30%), lower (37%), and upper plus lower obstruction (33%). DI-SCT is a fast and safe tool to identify simulated sleep airway obstruction in patients with OSA. It provides data on dynamic airway movement in the sagittal view which can be used to differentiate palate and tongue obstructions, and this can be helpful when planning surgery for patients with OSA.
机译:阻塞性睡眠呼吸暂停(OSA)的手术成功取决于上呼吸道识别障碍物。在这项研究中,我们通过在OSA患者中使用药物诱导的睡眠计算断层扫描(DI-SCT)来调查上呼吸道的动态变化来调查梗阻的部位。前瞻性地注册了三十五名同期的OSA患者。在光镇静(双光谱指数70-75)下用异丙酚(双光谱指数70-75)诱导睡眠,并且在2-3次呼吸循环中进行低剂量320探测器行CT,以支撑连续的正气道压力模型。大多数(89%)的患者有多层障碍物。最常见的梗阻最常发生在Velum(86%),其次是舌头(57%),口咽侧壁(49%)和外膜(26%)。有两种类型的前后梗阻软腭,Uvular(94%)和绒毛(6%),以及三种类型的舌梗阻,上部(30%),较低(37%)和上加上较低阻塞(33%)。 DI-SCT是一种快速安全的工具,可识别OSA患者的模拟睡眠气道阻塞。它提供了在矢状型视野中的动态气道运动数据,该数据可用于区分口感和舌梗阻,这可能会有所帮助地为OSA患者进行手术。

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