The relationships between cephalometric parameters and severity of obstructive sleep apnea

Objective: To verify the relationships between cephalometric parameters and apnea hypopnea index (AHI) in snoring patients in Chiang Mai University Hospital. Methods: Fifty patients who attend ENT snoring clinic, Faculty of Medicine, Chiang Mai University Hospital during 1 October, 2007 to 31 Octobe...

Full description

Saved in:
Bibliographic Details
Main Authors: Nuntigar Sonsuwan, Sirithorn Suchachaisri, Ladda Chaloeykitti
Format: Journal
Published: 2018
Subjects:
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78651286165&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/50270
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Chiang Mai University
id th-cmuir.6653943832-50270
record_format dspace
spelling th-cmuir.6653943832-502702018-09-04T04:27:33Z The relationships between cephalometric parameters and severity of obstructive sleep apnea Nuntigar Sonsuwan Sirithorn Suchachaisri Ladda Chaloeykitti Medicine Objective: To verify the relationships between cephalometric parameters and apnea hypopnea index (AHI) in snoring patients in Chiang Mai University Hospital. Methods: 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. Results: 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±18.2events/h. Body mass index (BMI)=27.2±3.3kg/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±5.6mm. 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. Conclusion: The model seems to be useful as a screening tool to assess the severity of obstructive sleep apnea in snoring patients. © 2010 Elsevier Ireland Ltd. 2018-09-04T04:27:33Z 2018-09-04T04:27:33Z 2011-02-01 Journal 03858146 2-s2.0-78651286165 10.1016/j.anl.2010.04.009 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78651286165&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/50270
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Medicine
spellingShingle Medicine
Nuntigar Sonsuwan
Sirithorn Suchachaisri
Ladda Chaloeykitti
The relationships between cephalometric parameters and severity of obstructive sleep apnea
description Objective: To verify the relationships between cephalometric parameters and apnea hypopnea index (AHI) in snoring patients in Chiang Mai University Hospital. Methods: 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. Results: 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±18.2events/h. Body mass index (BMI)=27.2±3.3kg/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±5.6mm. 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. Conclusion: The model seems to be useful as a screening tool to assess the severity of obstructive sleep apnea in snoring patients. © 2010 Elsevier Ireland Ltd.
format Journal
author Nuntigar Sonsuwan
Sirithorn Suchachaisri
Ladda Chaloeykitti
author_facet Nuntigar Sonsuwan
Sirithorn Suchachaisri
Ladda Chaloeykitti
author_sort Nuntigar Sonsuwan
title The relationships between cephalometric parameters and severity of obstructive sleep apnea
title_short The relationships between cephalometric parameters and severity of obstructive sleep apnea
title_full The relationships between cephalometric parameters and severity of obstructive sleep apnea
title_fullStr The relationships between cephalometric parameters and severity of obstructive sleep apnea
title_full_unstemmed The relationships between cephalometric parameters and severity of obstructive sleep apnea
title_sort relationships between cephalometric parameters and severity of obstructive sleep apnea
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78651286165&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/50270
_version_ 1681423559460651008