Primary site identification in children with obstructive sleep apnea by computational fluid dynamics analysis of the upper airway
Primary site identification in children with obstructive sleep apnea by computational fluid dynamics analysis of the upper airway
复制标题
DOI：
10.5664/jcsm.8224
复制
发表时间：
2020-03-15
影响因子：
4.3
通讯作者：
Yamasaki, Youichi
中科院分区：
文献类型：
--
作者：
Yanagisawa-Minami, Ayaka;Sugiyama, Takeshi;Yamasaki, Youichi
研究目的：阻塞性睡眠呼吸暂停（OSA）是一种由睡眠时上呼吸道阻塞引起的呼吸系统疾病。确定OSA的原发部位对确定治疗策略至关重要。本研究旨在建立计算流体动力学（CFD）分析来确定OSA的临床严重程度和原发部位。方法：20例儿童（平均年龄6岁）根据其呼吸暂停低通气指数分为OSA组和对照组。根据计算机断层扫描数据构建三维气道。结果：阻塞性睡眠呼吸暂停（OSA）组上气道最大流速和最大负压与OSA严重程度显著相关（r（s）= 0.741，P < 0.01）。
Study Objectives: Obstructive sleep apnea (OSA) is a respiratory disorder caused by the obstruction of the upper airway during sleep. The identification of the primary site of OSA is essential to determine treatment strategy. This study aimed to establish computational fluid dynamics (CFD) analysis for determining the clinical severity of OSA and the primary site of OSA.Methods: Twenty children (mean age, 6 years) were divided into OSA and control groups according to their apnea-hypopnea index. Three-dimensional airways were constructed from computed tomography data. The pharyngeal airway morphology and the pressure and velocity of the upper airway were evaluated using CFD analysis.Results: The maximum velocity and negative pressure of the upper airway in the OSA group were significantly correlated with the severity of OSA (r(s) = .741, P