10.1371/journal.pone.0062848
Chin-Chung Shu
Chin-Chung
Shu
Peilin Lee
Peilin
Lee
Jou-Wei Lin
Jou-Wei
Lin
Chun-Ta Huang
Chun-Ta
Huang
Yeun-Chung Chang
Yeun-Chung
Chang
Chong-Jen Yu
Chong-Jen
Yu
Hao-Chien Wang
Hao-Chien
Wang
The Use of Sub-Mental Ultrasonography for Identifying Patients with Severe Obstructive Sleep Apnea
Public Library of Science
2013
Anatomy and physiology
Physiological processes
sleep
Diagnostic medicine
pathology
anatomical pathology
Clinical pathology
General pathology
neurology
Sleep disorders
Pulmonology
Sleep and ventilation disorders
radiology
Diagnostic radiology
ultrasonography
sub-mental
patients
obstructive
2013-05-10 00:21:49
Dataset
https://plos.figshare.com/articles/dataset/_The_Use_of_Sub_Mental_Ultrasonography_for_Identifying_Patients_with_Severe_Obstructive_Sleep_Apnea_/701309
<div><p>Objective</p><p>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.</p><p>Methods</p><p>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).</p><p>Results</p><p>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.</p><p>Conclusion</p><p>Sub-mental US can accurately discriminate the severity of OSA and be used to identify patients with severe OSA.</p><p>Trial Registration</p><p>ClinicalTrials.gov <a href="http://clinicaltrials.gov/ct2/show/NCT00674076" target="_blank">NCT00674076</a></p></div>