Enciso Reyes, Nguyen Manuel, Shigeta Yuko, Ogawa Takumi, Clark Glenn T
Division of Craniofacial Sciences and Therapeutics, School of Dentistry, University of Southern California, Los Angeles, California 90089-0641, USA.
Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2010 Feb;109(2):285-93. doi: 10.1016/j.tripleo.2009.09.033.
The aim of this work was to compare the cone-beam computerized tomography (CBCT) scan measurements between patients with obstructive sleep apnea (OSA) and snorers to develop a prediction model for OSA based on CBCT imaging and the Berlin questionnaire.
Eighty subjects (46 OSA patients with apnea-hypoapnea index [AHI] >or= 10 and 34 snorers with AHI <10 based on ambulatory somnographic assessment) were recruited through flyers and mail at the University of Southern California School of Dentistry and at a private practice. Each patient answered the Berlin questionnaire, and was imaged with CBCT in supine position. Linear and volumetric measurements of the upper airway were performed by one blinded operator, and multivariate logistic regression analysis was used to identify risk factors for OSA.
The OSA patients were predominantly male and older and had a larger neck size and larger body mass index than the snorers. The minimum cross-sectional area of the upper airway and its lateral dimension were significantly smaller in the OSA patients. Airway uniformity defined as the minimum cross-sectional area divided by the average area was significantly smaller in the OSA patients.
Age >57 years, male gender, "high risk" on the Berlin questionnaire, and narrow upper airway lateral dimension (<17 mm) were identified as significant risk factors for OSA. The results of this study indicate that 3-dimensional CBCT airway analysis could be used as a tool to assess the presence and severity of OSA. The presence and severity (as measured by the respiratory disturbance index) of OSA is associated with a narrow lateral dimension of the airway, increasing age, male gender, and high-risk Berlin questionnaire.
本研究旨在比较阻塞性睡眠呼吸暂停(OSA)患者与打鼾者的锥束计算机断层扫描(CBCT)测量结果,以基于CBCT成像和柏林问卷建立OSA预测模型。
通过在南加州大学牙科学院和一家私人诊所发放传单和邮寄的方式招募了80名受试者(46名呼吸暂停低通气指数[AHI]≥10的OSA患者和34名基于动态睡眠图评估AHI<10的打鼾者)。每位患者均回答柏林问卷,并在仰卧位进行CBCT成像。由一名不知情的操作人员对上气道进行线性和容积测量,并采用多因素逻辑回归分析来确定OSA的危险因素。
OSA患者以男性居多且年龄较大,与打鼾者相比,其颈部尺寸更大,体重指数更高。OSA患者上气道的最小横截面积及其横向尺寸明显更小。定义为最小横截面积除以平均面积的气道均匀性在OSA患者中明显更小。
年龄>57岁、男性、柏林问卷“高风险”以及上气道横向尺寸狭窄(<17mm)被确定为OSA的重要危险因素。本研究结果表明,三维CBCT气道分析可作为评估OSA存在和严重程度的工具。OSA的存在和严重程度(通过呼吸紊乱指数衡量)与气道横向尺寸狭窄、年龄增长、男性以及柏林问卷高风险相关。