Lin Shengmao, Premaraj Thyagaseely Sheela, Gamage Peshala T, Dong Pengfei, Premaraj Sundaralingam, Gu Linxia
School of Civil Engineering and Architecture, Xiamen University of Technology, Xiamen 361024, China.
College of Dental Medicine, Nova Southeastern University, Fort Lauderdale, FL 33328, USA.
Life (Basel). 2022 Jul 19;12(7):1080. doi: 10.3390/life12071080.
This study evaluates the upper airway flow characteristics, anatomical features and analyzes their correlations with AHI in patients with varied degrees of OSA severity seeking for discernments of the underlying pathophysiological profile.
Patient-specific computational fluid dynamics models were reconstructed from high-resolution cone-beam computed tomography images for 4 OSA patients classified as minimal, mild, moderate, and severe according to AHI.
The parameters, minimal cross-sectional area (MCA), and the pharyngeal airway volume did not show clear correlations with the OSA severity defined according to AHI. No correlations were found between the classically defined resistance of the airway in terms of pressure drop and AHI. The flow analysis further showed that the fluid mechanisms likely to cause airway collapse are associated with the degree of narrowing in the pharyngeal airway rather than AHI. Results also suggested that some patients classified as severe OSA according to the AHI can show less susceptibility to airway collapse than patients with relatively lower AHI values and vice versa.
The relative contribution of anatomical and non-anatomical causes to the OSA severity can significantly vary between patients. AHI alone is inadequate to be used as a marker of the pathophysiological profile of OSA. Combining airflow analysis with AHI in diagnosing OSA severity may provide additional details about the underlying pathophysiology, subsequently improving the individualized clinical outcomes.
本研究评估不同程度阻塞性睡眠呼吸暂停(OSA)严重程度患者的上气道气流特征、解剖学特征,并分析它们与呼吸暂停低通气指数(AHI)的相关性,以探寻潜在病理生理特征。
根据AHI将4例OSA患者分为轻度、中度、重度和极重度,利用高分辨率锥形束计算机断层扫描图像重建患者特异性计算流体动力学模型。
最小横截面积(MCA)和咽气道容积等参数与根据AHI定义的OSA严重程度无明显相关性。根据经典定义的气道阻力(以压力降表示)与AHI之间未发现相关性。流动分析进一步表明,可能导致气道塌陷的流体力学机制与咽气道狭窄程度有关,而非与AHI有关。结果还表明,一些根据AHI分类为重度OSA的患者可能比AHI值相对较低的患者对气道塌陷的易感性更低,反之亦然。
解剖学和非解剖学原因对OSA严重程度的相对贡献在患者之间可能有显著差异。仅AHI不足以用作OSA病理生理特征的标志物。在诊断OSA严重程度时将气流分析与AHI相结合,可能会提供有关潜在病理生理学的更多细节,从而改善个体化临床结果。