Literature DB >> 26773412

Prediction of oral appliance treatment outcomes in obstructive sleep apnea: A systematic review.

Kentaro Okuno1, Benjamin T Pliska2, Mona Hamoda2, Alan A Lowe2, Fernanda R Almeida2.   

Abstract

While oral appliances (OA) have demonstrated good efficacy in patients ranging from mild to severe levels of obstructive sleep apnea (OSA), this form of treatment is not completely effective in all patients. As a successful treatment response is not dependent solely on apnea hypopnea index severity, the prediction of OA treatment efficacy is of key importance for efficient disease management. This systematic review aims to investigate the accuracy of a variety of clinical and experimental tests for predicting OA treatment outcomes in OSA. A systematic literature review was conducted and the quality of the selected studies was assessed using the quality assessment of diagnostic accuracy studies (QUADAS-2) tool. Some 17 studies involving various prediction methods were included in this review. The predictive accuracy varied depending on the definitions of treatment success used as well as the type of index test. The studies with the best predictive accuracy and lowest risk of bias and concerns of applicability used a multisensor catheter. While a remotely controlled mandibular positioner study showed high accuracy, there was a high risk of bias. The available information on the validity of predictive index tests is very useful in clinical practice and allows for greater disease management efficiency.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Oral appliance; Prediction; QUADAS; Sleep apnea; Systematic review

Mesh:

Year:  2015        PMID: 26773412     DOI: 10.1016/j.smrv.2015.11.007

Source DB:  PubMed          Journal:  Sleep Med Rev        ISSN: 1087-0792            Impact factor:   11.609


  23 in total

Review 1.  Quality Assessment of Systematic Reviews on the Efficacy of Oral Appliance Therapy for Adult and Pediatric Sleep-Disordered Breathing.

Authors:  Thikriat S Al-Jewair; Balgis O Gaffar; Carlos Flores-Mir
Journal:  J Clin Sleep Med       Date:  2016-08-15       Impact factor: 4.062

Review 2.  P4 medicine approach to obstructive sleep apnoea.

Authors:  Diane C Lim; Kate Sutherland; Peter A Cistulli; Allan I Pack
Journal:  Respirology       Date:  2017-05-05       Impact factor: 6.424

3.  Predicting a Successful Response to Oral Appliance Therapy: Advancing Knowledge One Model at a Time.

Authors:  Aaron B Holley; Joseph W Dombrowsky
Journal:  J Clin Sleep Med       Date:  2018-11-15       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

5.  Performance of Remotely Controlled Mandibular Protrusion Sleep Studies for Prediction of Oral Appliance Treatment Response.

Authors:  Kate Sutherland; Joachim Ngiam; Peter A Cistulli
Journal:  J Clin Sleep Med       Date:  2017-03-15       Impact factor: 4.062

6.  Predicting treatment response to mandibular advancement therapy using a titratable thermoplastic device.

Authors:  Wojciech Trzepizur; Benjamin Adrian; Marc Le Vaillant; Nicole Meslier; Jean-Daniel Kün-Darbois; Frédéric Gagnadoux
Journal:  Clin Oral Investig       Date:  2021-03-01       Impact factor: 3.573

Review 7.  The Use of Remotely Controlled Mandibular Positioner as a Predictive Screening Tool for Mandibular Advancement Device Therapy in Patients with Obstructive Sleep Apnea through Single-Night Progressive Titration of the Mandible: A Systematic Review.

Authors:  Chloé Kastoer; Marijke Dieltjens; Eline Oorts; Evert Hamans; Marc J Braem; Paul H Van de Heyning; Olivier M Vanderveken
Journal:  J Clin Sleep Med       Date:  2016-10-15       Impact factor: 4.062

8.  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

9.  Predicting sleep apnea responses to oral appliance therapy using polysomnographic airflow.

Authors:  Daniel Vena; Ali Azarbarzin; Melania Marques; Sara Op de Beeck; Olivier M Vanderveken; Bradley A Edwards; Nicole Calianese; Lauren B Hess; Reza Radmand; Garun S Hamilton; Simon A Joosten; Luigi Taranto-Montemurro; Sang-Wook Kim; Johan Verbraecken; Marc Braem; David P White; Scott A Sands; Andrew Wellman
Journal:  Sleep       Date:  2020-07-13       Impact factor: 5.849

10.  Awake Multimodal Phenotyping for Prediction of Oral Appliance Treatment Outcome.

Authors:  Kate Sutherland; Andrew S L Chan; Joachim Ngiam; Oyku Dalci; M Ali Darendeliler; Peter A Cistulli
Journal:  J Clin Sleep Med       Date:  2018-11-15       Impact factor: 4.062

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