The relationship between severity of obstructive sleep apnoea/hypopnoea syndrome, (OSAHS) and lateral cephalometric radiograph values: A clinical diagnostic tool

被引:17
作者
Bates, CJ [1 ]
McDonald, JP
机构
[1] Victoria Hosp, Dept Orthodont, Kirkcaldy, Fife, Scotland
[2] Univ St Andrews, Bute Med Sch, St Andrews, Fife, Scotland
来源
SURGEON-JOURNAL OF THE ROYAL COLLEGES OF SURGEONS OF EDINBURGH AND IRELAND | 2005年 / 3卷 / 05期
关键词
obstructive sleep apnoea; severity; lateral cephalometric radiograph;
D O I
10.1016/S1479-666X(05)80113-1
中图分类号
R61 [外科手术学];
学科分类号
摘要
Background: This prospective cross-sectional cohort study examined the relationship between radiographic anatomy and the severity of OSAHS. The severity of OSAHS can be measured subjectively in terms of the Epworth scale and objectively in terms of the apnoea/hypopnoea Index (AHI). Methods: 121 lateral cephalometric radiographs were traced under uniform conditions and a series of 56 landmarks identified, from which 48 angular and linear measurements were made. Significant changes occurred when comparison of these measurements with the severity of OSAHS were made. Results: Body mass index (BMI), the maxillary-mandibular planes angle (MMPA) and the linear measurement between points 7 and 12, (the pharyngeal dimension measured from the tip of the soft palate to the corresponding horizontal point on the posterior pharynx), increased significantly with increasing severity of OSAHS as measured by the Epworth score. Overjet, lower lip length, and the distance from the hyoid bone to a point B on the mandible all increased significantly with increasing severity of OSAHS, as measured by the AHI. The hyoid bone was found to rotate counter clockwise as the severity of OSAHS increased, as a result the distance between the most anterior superior point on the hyoid bone and the maxillary plane was seen to decrease as severity of OSAHS increased in terms of AHI. Conclusions: Some radiographic anatomical features show significant change as the severity of OSAHS increases and these features could be used in the identification of patients who have severe OSAHS. The Logit equation derived from the findings of this study may also be a useful clinical tool in predicting the likelihood of a subject suffering from severe OSAHS.
引用
收藏
页码:338 / 346
页数:9
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