The Use of Sub-Mental Ultrasonography for Identifying Patients with Severe Obstructive Sleep Apnea

Chin-Chung Shu, Peilin Lee, Jou-Wei Lin, Chun-Ta Huang, Yeun-Chung Chang, Chong-Jen Yu and Hao-Chien Wang

PLOS ONE, 2013, vol. 8, issue 5, 1-7

Abstract: Objective: This study aimed to explore the association between obstructive sleep apnea (OSA) severity and pharyngeal parameters using sub-mental ultrasonography (US), and investigate the accuracy of US for identifying severe OSA patients. Methods: One hundred and five consecutive referrals for suspected OSA were enrolled. The diameters of the retro-glossal (RG) and retro-palatal (RP) regions were measured via sub-mental US upon expiration during tidal breathing, forced inspiration, and Müller maneuver (MM). Independent factors associated with severe OSA identified from two-thirds of randomly-selected patients (model-development group) were used to construct a model for predicting severe OSA. The accuracy of the model was validated in the remaining one-third of patients (validation group). Results: Fifty severe OSA patients, 30 with mild-moderate OSA, and 25 without OSA were enrolled. Compared to non-OSA and mild-moderate OSA patients, those with severe OSA had narrower RP diameter in all three maneuvers. Using the prediction model constructed with changes of RP diameters at MM and neck circumference, the independent predictors of severe OSA in the model-development group had 100% sensitivity and 65% specificity. Conclusion: Sub-mental US can accurately discriminate the severity of OSA and be used to identify patients with severe OSA. Trial Registration: ClinicalTrials.gov NCT00674076

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0062848

DOI: 10.1371/journal.pone.0062848

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