Case-control study evaluates airway ultrasound for diagnosing obstructive sleep apnea, suggesting better screening methods.
Objectives This study aimed to evaluate the diagnostic performance of airway ultrasound parameters for obstructive sleep apnea–hypopnea syndrome (OSAHS) and to determine their incremental value beyond the Neck circumference, Obesity, Snoring, Age, Sex score (NoSAS) score. Methods In this case–control study, 47 participants with OSAHS and 30 controls underwent overnight polysomnography (PSG) with calculation of the apnea–hypopnea index (AHI) and NoSAS scoring. Airway ultrasound assessed tongue‐base thickness (TBT), hyoid‐bone depth (HBD), epiglottis depth (ED), and geniohyoid shear‐wave velocity (SWV). Multivariable logistic regression and receiver operating characteristic (ROC) analyses were used to quantify discrimination and compare models. Results Compared with controls, participants with OSAHS had higher TBT, HBD, and ED and lower SWV. In the primary multivariable model, TBT, SWV, and the NoSAS score were associated with OSAHS. After adjustment for BMI and neck circumference, TBT remained independently associated with OSAHS, whereas the associations of SWV and the NoSAS score were attenuated. TBT provided the highest single‐parameter accuracy (AUC 0.896). The NoSAS score alone showed comparable discrimination (AUC 0.895), whereas the combined model showed significantly improved discrimination (AUC 0.951; DeLong p = 0.038 versus NoSAS alone). Conclusions Airway ultrasound offers clinically relevant, non‐invasive discrimination for OSAHS, with TBT showing the best individual performance; integrating ultrasound with NoSAS may improve screening and triage for PSG.
No takes yet. Share an insight, caveat, or question.
Hong et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: