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 (rs = .741, P
CITATION STYLE
Yanagisawa-Minami, A., Sugiyama, T., Iwasaki, T., & Yamasaki, Y. (2020). Primary site identification in children with obstructive sleep apnea by computational fluid dynamics analysis of the upper airway. Journal of Clinical Sleep Medicine, 16(3), 431–439. https://doi.org/10.5664/JCSM.8224
Mendeley helps you to discover research relevant for your work.