Suppr超能文献

阻塞性睡眠呼吸暂停的头影测量评估。

Cephalometric assessment in obstructive sleep apnea.

作者信息

Pracharktam N, Nelson S, Hans M G, Broadbent B H, Redline S, Rosenberg C, Strohl K P

机构信息

Department of Orthodontics School of Dentistry, Case Western Reserve University, Ohio, USA.

出版信息

Am J Orthod Dentofacial Orthop. 1996 Apr;109(4):410-9. doi: 10.1016/s0889-5406(96)70123-3.

Abstract

It is reported that some specific craniofacial characteristics are associated with obstructive sleep apnea syndrome (OSAS). To test this finding, the present study developed and assessed the feasibility of a craniofacial index score (CIS) in differentiating patients with OSAS from habitual snorers. Anthropometric measurements and lateral head radiographs were obtained on 24 male and 4 female patients with OSAS who had physician-diagnosed OSAS (respiratory disturbance index (RDI) >20), and 25 male and 5 female habitual snorers (RDI <20). Thirteen cephalometric and four anthropometric measure- ments were used in a discriminant model to construct the CIS. The model was able to correctly classify 82.1% of the OSAS group and 86.7% of the snoring group. In addition, variables that were related to the soft tissues, hyoid bone to mandibular plane, Body Mass Index, and soft palate length had the highest predictive value. These findings indicate that a CIS constructed from cephalometric and anthropometric measurements can be used to identify subjects with and without OSAS.

摘要

据报道,一些特定的颅面特征与阻塞性睡眠呼吸暂停综合征(OSAS)相关。为验证这一发现,本研究开发并评估了颅面指数评分(CIS)在区分OSAS患者与习惯性打鼾者方面的可行性。对24例男性和4例女性经医生诊断为OSAS(呼吸紊乱指数(RDI)>20)的OSAS患者以及25例男性和5例女性习惯性打鼾者(RDI<20)进行了人体测量和头颅侧位X线摄影。在判别模型中使用了13项头影测量和4项人体测量指标来构建CIS。该模型能够正确分类82.1%的OSAS组患者和86.7%的打鼾组患者。此外,与软组织、舌骨至下颌平面、体重指数和软腭长度相关的变量具有最高的预测价值。这些发现表明,由头影测量和人体测量构建的CIS可用于识别有无OSAS的受试者。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验