The comparison of spectral analyses and flow features in upper airways with obstructive sleep apnea (OSA) between successful and failed surgeries
Mingzhen Lu, Tianxi Chi, Zhengang Liu, Shu Wang, Yang Liu, Jingying, Ye

TL;DR
This study combines experimental measurements and numerical simulations to analyze flow features in upper airways of OSA patients, revealing key signals and flow patterns that distinguish successful from failed surgeries, offering new surgical planning insights.
Contribution
It introduces a combined experimental and simulation approach to identify flow features and spectral signals associated with surgical outcomes in OSA treatment.
Findings
Dominant 3-5 Hz signal correlates with breathing quality.
Successful surgeries show specific recirculation downstream of the minimum cross-section.
A strong correlation exists between AHI and the area ratio of airway cross-sections.
Abstract
Obstructive sleep apnea (OSA) is a common sleep disorder and widening the upper airway is often used in clinical practice. However, the success rate of this surgery is limited; the failed surgery would even make the situation worse, indicating the widened airway is not the unique criterion to evaluate the breathing quality. Therefore, we carried out both experimental measurement and numerical simulation on OSA upper airways and found that there existed an intrinsic dominant 3-5 Hz signal and the signal-to-noise ratio (SNR) at 3-5 Hz is inversely correlated with apnea-hypopnea index (AHI). Firstly, to validate the suitability of simulation methods, we carried out Laser Doppler measurement in 3D-printing OSA upper airway models, and found excellent agreement between the measured and calculated velocity profiles in two upper airway models for the first time. Then we carried out large eddy…
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Taxonomy
TopicsObstructive Sleep Apnea Research · Aerodynamics and Fluid Dynamics Research · Tracheal and airway disorders
