Literature DB >> 21424283

Cephalometry and prediction of oral appliance treatment outcome.

Andrew Tze Ming Ng1, M Ali Darendeliler, Peter Petocz, Peter A Cistulli.   

Abstract

RATIONALE: Predicting which patients with obstructive sleep apnea (OSA) will be successfully treated with mandibular advancement splints (MAS) remains elusive. Developing simple daytime measurements and tests to predict treatment outcome would enhance MAS treatment.
OBJECTIVE: The purpose of this study was to assess the clinical utility of anthropomorphic measurements and cephalometric X-rays in the prediction of MAS treatment outcome in OSA.
METHODS: Anthropomorphic measurements and cephalometric X-rays from 72 OSA patients who had presented to a tertiary referral sleep clinic were analyzed retrospectively.
RESULTS: Treatment response was defined as ≥50% reduction in Apnea/Hypopnea Index (AHI; criterion 1); ≥50% reduction and residual AHI less than 20/h (criterion 2); ≥50% reduction in AHI and residual AHI less than 10/h (criterion 3); and ≥50% reduction in AHI and residual AHI less than 5/h (criterion 4). This was done to reflect the differences in the clinical definition of treatment success in the literature. A good response occurred in 56% (40 patients) according to criterion 1; 54% (39 patients) according to criterion 2; 46% (33 patients) according to criterion 3; or 39% (28 patients) according to criterion 4. Age and gender were found to be significant predictors for criteria 1 and 2. Age and soft palate length were found to be significant predictors for criteria 3 and 4. Equations to predict MAS treatment response were derived as equations were to predict final AHI.
CONCLUSIONS: Certain cephalometric and anthropomorphic measurements impact on MAS treatment outcome. This study adds to the current literature and implies that MAS success is (to some degree) related to anatomical characteristics.

Entities:  

Mesh:

Year:  2011        PMID: 21424283     DOI: 10.1007/s11325-011-0484-2

Source DB:  PubMed          Journal:  Sleep Breath        ISSN: 1520-9512            Impact factor:   2.816


  32 in total

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  30 in total

1.  Influencing factors on the effect of mandibular advancement device in obstructive sleep apnea patients: analysis on cephalometric and polysomnographic parameters.

Authors:  Young-Kyun Kim; Jeong-Whun Kim; In-Young Yoon; Chae Seo Rhee; Chul Hee Lee; Pil-Young Yun
Journal:  Sleep Breath       Date:  2013-08-09       Impact factor: 2.816

2.  Soft palate cephalometric changes with a mandibular advancement device may be associated with polysomnographic improvement in obstructive sleep apnea.

Authors:  Hong Joong Kim; Seung-No Hong; Woo Hyun Lee; Jae-Cheul Ahn; Min-Sang Cha; Chae-Seo Rhee; Jeong-Whun Kim
Journal:  Eur Arch Otorhinolaryngol       Date:  2018-05-23       Impact factor: 2.503

3.  Oral Appliance Treatment Response and Polysomnographic Phenotypes of Obstructive Sleep Apnea.

Authors:  Kate Sutherland; Hisashi Takaya; Jin Qian; Peter Petocz; Andrew T Ng; Peter A Cistulli
Journal:  J Clin Sleep Med       Date:  2015-08-15       Impact factor: 4.062

4.  A Feedback-Controlled Mandibular Positioner Identifies Individuals With Sleep Apnea Who Will Respond to Oral Appliance Therapy.

Authors:  John E Remmers; Zbigniew Topor; Joshua Grosse; Nikola Vranjes; Erin V Mosca; Rollin Brant; Sabina Bruehlmann; Shouresh Charkhandeh; Seyed Abdolali Zareian Jahromi
Journal:  J Clin Sleep Med       Date:  2017-07-15       Impact factor: 4.062

Review 5.  Anatomically Based Outcome Predictors of Treatment for Obstructive Sleep Apnea with Intraoral Splint Devices: A Systematic Review of Cephalometric Studies.

Authors:  Luca Guarda-Nardini; Daniele Manfredini; Marta Mion; Gary Heir; Rosario Marchese-Ragona
Journal:  J Clin Sleep Med       Date:  2015-11-15       Impact factor: 4.062

6.  Assessment of the uvulo-glossopharyngeal dimensions in patients with β-thalassemia major.

Authors:  Fariborz Amini; Ali Borzabadi-Farahani; Gilda Behnam-Roudsari; Alireza Jafari; Fatemeh Shahidinejad
Journal:  Sleep Breath       Date:  2012-11-02       Impact factor: 2.816

7.  CPAP pressure for prediction of oral appliance treatment response in obstructive sleep apnea.

Authors:  Kate Sutherland; Craig L Phillips; Amanda Davies; Vasanth K Srinivasan; Oyku Dalci; Brendon J Yee; M Ali Darendeliler; Ronald R Grunstein; Peter A Cistulli
Journal:  J Clin Sleep Med       Date:  2014-09-15       Impact factor: 4.062

8.  Higher effective oronasal versus nasal continuous positive airway pressure in obstructive sleep apnea: effect of mandibular stabilization.

Authors:  Marta Kaminska; Andree Montpetit; Annie Mathieu; Vincent Jobin; Florence Morisson; Pierre Mayer
Journal:  Can Respir J       Date:  2014-05-02       Impact factor: 2.409

Review 9.  Phenotypes in obstructive sleep apnea: A definition, examples and evolution of approaches.

Authors:  Andrey V Zinchuk; Mark J Gentry; John Concato; Henry K Yaggi
Journal:  Sleep Med Rev       Date:  2016-10-12       Impact factor: 11.609

10.  The relationship between specific nasopharyngoscopic features and treatment deterioration with mandibular advancement devices: a prospective study.

Authors:  Eli Van de Perck; Sara Op de Beeck; Marijke Dieltjens; Anneclaire V Vroegop; Annelies E Verbruggen; Marc Willemen; Johan Verbraecken; Paul H Van de Heyning; Marc J Braem; Olivier M Vanderveken
Journal:  J Clin Sleep Med       Date:  2020-07-15       Impact factor: 4.062

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