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通气-灌注不匹配对阻塞性睡眠呼吸暂停严重程度的影响:一项建模研究。

Effects of Ventilation-Perfusion Mismatch on Severity of Obstructive Sleep Apnea: A Modeling Study.

作者信息

Khoo Michael C K, Hu Wen-Hsin, Amin Raouf

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:2792-2795. doi: 10.1109/EMBC44109.2020.9175297.

Abstract

Plant gain quantifies the extent and rapidity with which arterial blood gases change following hypopneic or hyperpneic events. High plant gain, acting in concert with a highly collapsible upper airway and low arousal threshold, may contribute significantly towards increasing the severity of obstructive sleep apnea (OSA), even when controller gain is low. Elevated plant gain may be a manifestation of abnormal gas exchange resulting from ventilation-perfusion mismatch in the lungs. Using a mathematical model, we explore in this paper how ventilation-perfusion mismatch can affect plant gain, as well as the severity of OSA.

摘要

肺顺应性量化了低通气或通气过度事件后动脉血气变化的程度和速度。高肺顺应性与高度可塌陷的上气道和低觉醒阈值共同作用,可能会显著加重阻塞性睡眠呼吸暂停(OSA)的严重程度,即使控制增益较低。肺顺应性升高可能是肺部通气-灌注不匹配导致的气体交换异常的一种表现。在本文中,我们使用数学模型探讨通气-灌注不匹配如何影响肺顺应性以及OSA的严重程度。

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