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

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.

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1. Protocol for sub-mental scanning.
Figure 1. Protocol for sub-mental scanning.
The procedure on ultrasound scanning is shown on the left panel and the corresponding computed tomography and ultrasonographic images on the right panel. A, Geniohyoid muscle; B, ramus of the mandible; C, hypoglossal muscle and corresponding acoustic shadow; D, airspace; H, hyoid bone and its acoustic shadow; T, tongue; HM, hyoid-external-meatus; RG, retro-glossal; RP, retro-palatal; UAL, upper airway length.
Figure 2. Flowchart of the trial.
Figure 2. Flowchart of the trial.
Figure 3. Receiver operating characteristic (ROC) curves…
Figure 3. Receiver operating characteristic (ROC) curves for probability of severe OSA in the (A) model-development group and (B) validation group.

References

    1. Gold AR, Gold MS, Harris KW, Espeleta VJ, Amin MM, et al. (2008) Hypersomnolence, insomnia and the pathophysiology of upper airway resistance syndrome. Sleep Med 9: 675–683.
    1. McNicholas WT, Bonsigore MR (2007) Sleep apnoea as an independent risk factor for cardiovascular disease: current evidence, basic mechanisms and research priorities. Eur Respir J 29: 156–178.
    1. Tasali E, Ip MS (2008) Obstructive sleep apnea and metabolic syndrome: alterations in glucose metabolism and inflammation. Proc Am Thorac Soc 5: 207–217.
    1. Grundy SM, Brewer HB Jr, Cleeman JI, Smith SC Jr, Lenfant C (2004) Definition of metabolic syndrome: Report of the National Heart, Lung, and Blood Institute/American Heart Association conference on scientific issues related to definition. Circulation 109: 433–438.
    1. Gozal D, Capdevila OS, Kheirandish-Gozal L (2008) Metabolic alterations and systemic inflammation in obstructive sleep apnea among nonobese and obese prepubertal children. Am J Respir Crit Care Med 177: 1142–1149.
    1. Coughlin SR, Mawdsley L, Mugarza JA, Wilding JP, Calverley PM (2007) Cardiovascular and metabolic effects of CPAP in obese males with OSA. Eur Respir J 29: 720–727.
    1. Ryan S, Nolan GM, Hannigan E, Cunningham S, Taylor C, et al. (2007) Cardiovascular risk markers in obstructive sleep apnoea syndrome and correlation with obesity. Thorax 62: 509–514.
    1. Recommendations of criteria for measurements, definitions and severity ratings of sleep related breathing disorders in adults. Report of an American Sleep Disorders Association Task Force. Chicago
    1. Kushida CA, Littner MR, Morgenthaler T, Alessi CA, Bailey D, et al. (2005) Practice parameters for the indications for polysomnography and related procedures: an update for 2005. Sleep 28: 499–521.
    1. Abrishami A, Khajehdehi A, Chung F (2010) A systematic review of screening questionnaires for obstructive sleep apnea. Can J Anaesth 57: 423–438.
    1. Magalang UJ, Dmochowski J, Veeramachaneni S, Draw A, Mador MJ, et al. (2003) Prediction of the apnea-hypopnea index from overnight pulse oximetry. Chest 124: 1694–1701.
    1. Gurubhagavatula I, Maislin G, Pack AI (2001) An algorithm to stratify sleep apnea risk in a sleep disorders clinic population. Am J Respir Crit Care Med 164: 1904–1909.
    1. Thakkar K, Yao M (2007) Diagnostic studies in obstructive sleep apnea. Otolaryngol Clin North Am 40: 785–805.
    1. Stuck BA, Maurer JT (2008) Airway evaluation in obstructive sleep apnea. Sleep Med Rev 12: 411–436.
    1. Jager L, Gunther E, Gauger J, Reiser M (1998) Fluoroscopic MR of the pharynx in patients with obstructive sleep apnea. AJNR Am J Neuroradiol 19: 1205–1214.
    1. Ding LW, Wang HC, Wu HD, Chang CJ, Yang PC (2006) Laryngeal ultrasound: a useful method in predicting post-extubation stridor. A pilot study. Eur Respir J 27: 384–389.
    1. Liu KH, Chu WC, To KW, Ko FW, Tong MW, et al. (2007) Sonographic measurement of lateral parapharyngeal wall thickness in patients with obstructive sleep apnea. Sleep 30: 1503–1508.
    1. Siegel H, Sonies BC, Graham B, McCutchen C, Hunter K, et al. (2000) Obstructive sleep apnea: A study by simultaneous polysomnography and ultrasonic imaging. Neurology 54: 1872.
    1. Lahav Y, Rosenzweig E, Heyman Z, Doljansky J, Green A, et al. (2009) Tongue base ultrasound: a diagnostic tool for predicting obstructive sleep apnea. Ann Otol Rhinol Laryngol 118: 179–184.
    1. Lee P, Su YN, Yu CJ, Yang PC, Wu HD (2009) PHOX2B mutation-confirmed congenital central hypoventilation syndrome in a Chinese family: presentation from newborn to adulthood. Chest 135: 537–544.
    1. Ritter CT, Trudo FJ, Goldberg AN, Welch KC, Maislin G, et al. (1999) Quantitative evaluation of the upper airway during nasopharyngoscopy with the Muller maneuver. Laryngoscope 109: 954–963.
    1. Segal Y, Malhotra A, Pillar G (2008) Upper airway length may be associated with the severity of obstructive sleep apnea syndrome. Sleep Breath 12: 311–316.
    1. Lin JW, Chang YC, Li HY, Chien YF, Wu MY, et al. (2009) Cross-sectional validation of diabetes risk scores for predicting diabetes, metabolic syndrome, and chronic kidney disease in Taiwanese. Diabetes Care 32: 2294–2296.
    1. Young T, Palta M, Dempsey J, Skatrud J, Weber S, et al. (1993) The occurrence of sleep-disordered breathing among middle-aged adults. N Engl J Med 328: 1230–1235.
    1. Ciscar MA, Juan G, Martinez V, Ramon M, Lloret T, et al. (2001) Magnetic resonance imaging of the pharynx in OSA patients and healthy subjects. Eur Respir J 17: 79–86.
    1. Chen NH, Li KK, Li SY, Wong CR, Chuang ML, et al. (2002) Airway assessment by volumetric computed tomography in snorers and subjects with obstructive sleep apnea in a Far-East Asian population (Chinese). Laryngoscope 112: 721–726.
    1. Liu Y, Lowe AA, Zeng X, Fu M, Fleetham JA (2000) Cephalometric comparisons between Chinese and Caucasian patients with obstructive sleep apnea. Am J Orthod Dentofacial Orthop 117: 479–485.

Source: PubMed

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