Literature DB >> 24485981

Velopharyngeal anatomy in patients with obstructive sleep apnea versus normal subjects.

Yehuda Finkelstein1, Lior Wolf2, Ariela Nachmani3, Uri Lipowezky4, Mordechai Rub5, Sa'ar Shemer5, Gilead Berger6.   

Abstract

PURPOSE: Obesity can cause disturbed breathing and is one of the most significant risk factors for obstructive sleep apnea (OSA). However, the anatomic basis of OSA and, specifically, the anatomic mechanisms leading from obesity to OSA are still unclear. We examined the anatomic features of the velopharynx in patients with OSA versus those without in correlation with the body mass index (BMI), age, history of snoring, and OSA severity and re-evaluated the contribution of adding a frontal view to the cephalometric analysis of patients with OSA.
MATERIALS AND METHODS: Lateral and frontal cephalometric measurements were taken to assess the velopharyngeal anatomic features of 306 men with various degrees of OSA and 64 men without OSA and without a history of snoring. The demographic, polysomnographic, and cephalometric features were compared.
RESULTS: The patients with OSA had an increased pharyngeal length, thicker velum, a thicker posterior pharyngeal wall, a reduced pharyngeal width, and a consequent narrowing of the pharyngeal lumen. As the BMI increased, the OSA severity increased. Also, in parallel, the velum and posterior pharyngeal wall thickness increased and the pharyngeal width decreased. Three types of velopharyngeal narrowing, with an increased occurrence in severe degrees of OSA, were identified: bottle shape, hourglass shape, and tube shape. These aerodynamically unfavorable changes might cause increased upper airway resistance, explaining the development of both OSA and hypoventilation syndrome in obese patients.
CONCLUSIONS: Velopharyngeal thickening and lumen narrowing were shown to be features of obese men with OSA. However, these features developed only above a threshold BMI value. The combination of frontal and lateral cephalometry is important for comprehensive evaluation of patients with OSA.
Copyright © 2014 American Association of Oral and Maxillofacial Surgeons. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 24485981     DOI: 10.1016/j.joms.2013.12.006

Source DB:  PubMed          Journal:  J Oral Maxillofac Surg        ISSN: 0278-2391            Impact factor:   1.895


  9 in total

1.  The interplay between tongue tissue volume, hyoid position, and airway patency.

Authors:  Jason P Kirkness; Mudiaga Sowho; Emi Murano
Journal:  Sleep       Date:  2014-10-01       Impact factor: 5.849

2.  Differences in the Tensor Veli Palatini Between Adults With and Without Cleft Palate Using High-Resolution 3-Dimensional Magnetic Resonance Imaging.

Authors:  Thomas N George; Katelyn J Kotlarek; David P Kuehn; Bradley P Sutton; Jamie L Perry
Journal:  Cleft Palate Craniofac J       Date:  2018-01-23

3.  The role of upper airway morphology in apnea versus hypopnea predominant obstructive sleep apnea patients: an exploratory study.

Authors:  Tülay Özer; Adin Selçuk; Zahide Yılmaz; Nuray Voyvoda; İsa Çam; Halil Erdem Özel; Fatih Özdoğan; Erkan Esen; Gülden Genç; Selahattin Genç
Journal:  Br J Radiol       Date:  2018-05-03       Impact factor: 3.039

Review 4.  The Development of Sleep Medicine: A Historical Sketch.

Authors:  Hartmut Schulz; Piero Salzarulo
Journal:  J Clin Sleep Med       Date:  2016-07-15       Impact factor: 4.062

5.  Comparative evaluation of craniofacial anthropometric measurements in Indian adult patients with and without obstructive sleep apnea: A pilot study.

Authors:  Abhishek Dubey; Snehal Upadhyay; Somil Mathur; Surya Kant; Balendra Pratap Singh; Rakesh Makwana
Journal:  J Indian Prosthodont Soc       Date:  2015 Oct-Dec

Review 6.  Palatal anatomy for sleep apnea surgery.

Authors:  Ewa Olszewska; B Tucker Woodson
Journal:  Laryngoscope Investig Otolaryngol       Date:  2019-01-10

7.  Upper airway lengthening caused by weight increase in obstructive sleep apnea patients.

Authors:  Hongyi Lin; Huahui Xiong; Changjin Ji; Cunting Wang; Yong Li; Yunqiang An; Geng Li; Jianggui Guo; Xiaoqing Huang; Han Zhang; Hong Liu; Ting Li; Zheng Li; Junfang Xian; Yaqi Huang
Journal:  Respir Res       Date:  2020-10-19

8.  Predicting Polysomnography Parameters from Anthropometric Features and Breathing Sounds Recorded during Wakefulness.

Authors:  Ahmed Elwali; Zahra Moussavi
Journal:  Diagnostics (Basel)       Date:  2021-05-19

9.  A Subject-Specific Acoustic Model of the Upper Airway for Snoring Sounds Generation.

Authors:  Shumit Saha; T Douglas Bradley; Mahsa Taheri; Zahra Moussavi; Azadeh Yadollahi
Journal:  Sci Rep       Date:  2016-05-23       Impact factor: 4.379

  9 in total

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