Sonsuwan Nuntigar, Suchachaisri Sirithorn, Chaloeykitti Ladda
Department of Otolaryngology, Chiang Mai University, Thailand.
Auris Nasus Larynx. 2011 Feb;38(1):83-7. doi: 10.1016/j.anl.2010.04.009. Epub 2010 Jun 15.
To verify the relationships between cephalometric parameters and apnea hypopnea index (AHI) in snoring patients in Chiang Mai University Hospital.
Fifty patients who attend ENT snoring clinic, Faculty of Medicine, Chiang Mai University Hospital during 1 October, 2007 to 31 October, 2008 were enrolled. All subsequently underwent overnight polysomnography by SOMNOCHECK(®) V2.04 and lateral cephalometric radiographs.
Of the 50 patients, 78% were men (n=39) and 22% were women (n=11). Ages ranged from 31 to 65 years. Average apnea hypopnea index (AHI)=18.4 ± 18.2 events/h. Body mass index (BMI)=27.2 ± 3.3 kg/m². The mean sella-nasion-subspinale (SNA)=84.1 ± 4.3°. Sella-nasion-supramental (SNB)=81.8 ± 3.4°. Posterior airway space (PAS)=14.9 ± 4.3mm. Distance between mandibular plane and hyoid (MP-H)=27.7 ± 5.6 mm. Distance between posterior nasal spine and tip of soft palate (PNS-P)=42.5 ± 5.4mm. Using Pearson's correlation analysis of BMI, the cephalometric parameters from all subjects with AHI revealed BMI, PAS and MP-H had significant correlation with AHI; p=0.009, p=0.003, and p=0.005, respectively. BMI, MP-H, and PAS were correlated with AHI. The multiple regression model for the effects of BMI, PAS, and MP-H on AHI is AHI=2.090(BMI)-1.953(PAS)+1.1333(MP-H)-40.54.
The model seems to be useful as a screening tool to assess the severity of obstructive sleep apnea in snoring patients.
验证清迈大学医院打鼾患者的头影测量参数与呼吸暂停低通气指数(AHI)之间的关系。
纳入2007年10月1日至2008年10月31日期间在清迈大学医院耳鼻喉科打鼾门诊就诊的50例患者。所有患者随后均接受了SOMNOCHECK(®) V2.04的夜间多导睡眠图检查和头颅侧位X线片检查。
50例患者中,78%为男性(n = 39),22%为女性(n = 11)。年龄范围为31至65岁。平均呼吸暂停低通气指数(AHI)= 18.4 ± 18.2次/小时。体重指数(BMI)= 27.2 ± 3.3kg/m²。蝶鞍-鼻根-下齿槽座点(SNA)平均值 = 84.1 ± 4.3°。蝶鞍-鼻根-颏下点(SNB)= 81.8 ± 3.4°。后气道间隙(PAS)= 14.9 ± 4.3mm。下颌平面与舌骨之间的距离(MP-H)= 27.7 ± 5.6mm。后鼻棘与软腭尖之间的距离(PNS-P)= 42.5 ± 5.4mm。对所有受试者的BMI与头影测量参数进行Pearson相关性分析,结果显示BMI、PAS和MP-H与AHI均具有显著相关性;p值分别为0.009、0.003和0.005。BMI、MP-H和PAS与AHI相关。BMI、PAS和MP-H对AHI影响的多元回归模型为AHI = 2.090(BMI)- 1.953(PAS)+ 1.1333(MP-H)- 40.54。
该模型似乎可作为一种筛查工具,用于评估打鼾患者阻塞性睡眠呼吸暂停的严重程度。