Zucconi M, Ferini-Strambi L, Palazzi S, Orena C, Zonta S, Smirne S
Department of Neurology, Università Statale, Milan, Italy.
Thorax. 1992 Mar;47(3):157-61. doi: 10.1136/thx.47.3.157.
The obstructive sleep apnoea syndrome is characterised by an increased apnoea-hypopnoea index and a reduction in the minimal arterial oxygen saturation (SaO2) values during sleep. The extent to which these variables can be predicted by cephalometric and otorhinolaryngological variables was tested.
One hundred consecutive habitual snorers (84% male), with a mean (SD) age of 50.1 (10.1) years, were studied. The 45 patients with less severe sleep apnoea, with an apnoea-hypopnoea index of 10 or less (group A), were compared with the 55 with an index above 10 (group B).
Body mass index, some cephalometric variables, and some otorhinolaryngological variables differed significantly between group A and group B, in particular the soft tissue measures PNS-P (posterior nasal spine to palate), MP-H (mandibular plane to hyoid bone), degree of oropharynx stenosis, and tongue size. In a multiple regression correlation analysis MP-H, SNB (angle from sella to nasion to subspinale point), SNA (angle from sella to nasion to supramentale point), PAS (posterior airway space), tongue size, and body mass index contributed significantly to the equation explaining the severity of sleep apnoea. Nevertheless, these variables together explained only 33% of the variance of the apnoea-hypopnoea index in the total sample; they were more important for patients with moderate to severe stages of the disease.
The lack of association between cephalometric variables and mild sleep apnoea suggests that the differences in these variables (soft tissue measures) may be the consequence rather than the cause of habitual snoring and the obstructive sleep apnoea syndrome.
阻塞性睡眠呼吸暂停综合征的特征是睡眠期间呼吸暂停低通气指数增加以及最低动脉血氧饱和度(SaO2)值降低。本研究测试了通过头影测量和耳鼻喉科变量预测这些变量的程度。
对连续100名习惯性打鼾者(84%为男性)进行研究,其平均(标准差)年龄为50.1(10.1)岁。将45例睡眠呼吸暂停较轻、呼吸暂停低通气指数为10或更低的患者(A组)与55例指数高于10的患者(B组)进行比较。
A组和B组之间的体重指数、一些头影测量变量和一些耳鼻喉科变量存在显著差异,特别是软组织测量值PNS-P(后鼻棘至腭)、MP-H(下颌平面至舌骨)、口咽狭窄程度和舌大小。在多元回归相关分析中,MP-H、SNB(蝶鞍至鼻根至下齿槽座点的角度)、SNA(蝶鞍至鼻根至上唇中点的角度)、PAS(后气道间隙)、舌大小和体重指数对解释睡眠呼吸暂停严重程度的方程有显著贡献。然而,这些变量共同仅解释了总样本中呼吸暂停低通气指数方差的33%;它们对疾病中度至重度阶段的患者更为重要。
头影测量变量与轻度睡眠呼吸暂停之间缺乏关联表明,这些变量(软组织测量值)的差异可能是习惯性打鼾和阻塞性睡眠呼吸暂停综合征的结果而非原因。