Literature DB >> 34747691

In-home mandibular repositioning during sleep using MATRx plus predicts outcome and efficacious positioning for oral appliance treatment of obstructive sleep apnea.

Erin V Mosca1, Sabina Bruehlmann1, Shaelynn M Zouboules1, Alexandra E Chiew1, Curtis Westersund2, Dillon A Hambrook1, Seyed A Zareian Jahromi1,3, Joshua Grosse1, Zbigniew L Topor1,3, Shouresh Charkhandeh1, John E Remmers1,3.   

Abstract

STUDY
OBJECTIVES: Oral appliance therapy is not commonly used to treat obstructive sleep apnea due to inconsistent efficacy and lack of established configuration procedures. Both problems may be overcome by information gathered while repositioning the mandible during sleep. The purpose of this investigation was to determine if an unattended sleep study with a mandibular positioner can predict therapeutic success and efficacious mandibular position, assess the contribution of artificial intelligence analytics to such a system, and evaluate symptom resolution using an objective titration approach.
METHODS: Fifty-eight individuals with obstructive sleep apnea underwent an unattended sleep study with an auto-adjusting mandibular positioner followed by fitting of a custom oral appliance. Therapeutic outcome was assessed by the 4% oxygen desaturation index with therapeutic success defined as oxygen desaturation index < 10 h-1. Outcome was prospectively predicted by an artificial intelligence system and a heuristic, rule-based method. An efficacious mandibular position was also prospectively predicted by the test. Data on obstructive sleep apnea symptom resolution were collected 6 months following initiation of oral appliance therapy.
RESULTS: The artificial intelligence method had significantly higher predictive accuracy (sensitivity: 0.91, specificity: 1.00) than the heuristic method (P = .016). The predicted efficacious mandibular position was associated with therapeutic success in 83% of responders. Appliances titrated based on oxygen desaturation index effectively resolved obstructive sleep apnea symptoms.
CONCLUSIONS: The MATRx plus device provides an accurate means for predicting outcome to oral appliance therapy in the home environment and offers a replacement to blind titration of oral appliances. CLINICAL TRIAL REGISTRATION: Registry: ClinicalTrials.gov; Name: Predictive Accuracy of MATRx plus in Identifying Favorable Candidates for Oral Appliance Therapy; Identifier: NCT03217383; URL: https://clinicaltrials.gov/ct2/show/NCT03217383. CITATION: Mosca EV, Bruehlmann S, Zouboules SM, et al. In-home mandibular repositioning during sleep using MATRx plus predicts outcome and efficacious positioning for oral appliance treatment of obstructive sleep apnea. J Clin Sleep Med. 2022;18(3):911-919.
© 2022 American Academy of Sleep Medicine.

Entities:  

Keywords:  machine learning; mandibular advancement device; obstructive sleep apnea; sleep-disordered breathing

Mesh:

Year:  2022        PMID: 34747691      PMCID: PMC8883079          DOI: 10.5664/jcsm.9758

Source DB:  PubMed          Journal:  J Clin Sleep Med        ISSN: 1550-9389            Impact factor:   4.062


  39 in total

1.  Mandibular advancement and obstructive sleep apnoea: a method for determining effective mandibular protrusion.

Authors:  L C Dort; E Hadjuk; J E Remmers
Journal:  Eur Respir J       Date:  2006-05       Impact factor: 16.671

2.  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

3.  Use of flow-volume curves to predict oral appliance treatment outcome in obstructive sleep apnea.

Authors:  Biao Zeng; Andrew T Ng; M Ali Darendeliler; Peter Petocz; Peter A Cistulli
Journal:  Am J Respir Crit Care Med       Date:  2007-01-11       Impact factor: 21.405

4.  A randomized, controlled crossover trial of two oral appliances for sleep apnea treatment.

Authors:  K E Bloch; A Iseli; J N Zhang; X Xie; V Kaplan; P W Stoeckli; E W Russi
Journal:  Am J Respir Crit Care Med       Date:  2000-07       Impact factor: 21.405

5.  Phenotypic Labelling Using Drug-Induced Sleep Endoscopy Improves Patient Selection for Mandibular Advancement Device Outcome: A Prospective Study.

Authors:  Sara Op de Beeck; Marijke Dieltjens; Annelies E Verbruggen; Anneclaire V Vroegop; Kristien Wouters; Evert Hamans; Marc Willemen; Johan Verbraecken; Wilfried A De Backer; Paul H Van de Heyning; Marc J Braem; Olivier M Vanderveken
Journal:  J Clin Sleep Med       Date:  2019-08-15       Impact factor: 4.062

6.  Oropharyngeal collapse predicts treatment response with oral appliance therapy in obstructive sleep apnea.

Authors:  Andrew T Ng; Jin Qian; Peter A Cistulli
Journal:  Sleep       Date:  2006-05       Impact factor: 5.849

7.  Mandibular advancement appliance for obstructive sleep apnoea: results of a randomised placebo controlled trial using parallel group design.

Authors:  Niels Petri; Palle Svanholt; Beni Solow; Gordon Wildschiødtz; Per Winkel
Journal:  J Sleep Res       Date:  2008-06       Impact factor: 3.981

8.  Functional imaging using computational fluid dynamics to predict treatment success of mandibular advancement devices in sleep-disordered breathing.

Authors:  J W De Backer; O M Vanderveken; W G Vos; A Devolder; S L Verhulst; J A Verbraecken; P M Parizel; M J Braem; P H Van de Heyning; W A De Backer
Journal:  J Biomech       Date:  2007-07-30       Impact factor: 2.712

9.  Craniofacial morphologic predictors of oral appliance outcomes in patients with obstructive sleep apnea.

Authors:  Hsin-Lan Shen; Yu-Wen Wen; Ning-Hung Chen; Yu-Fang Liao
Journal:  J Am Dent Assoc       Date:  2012-11       Impact factor: 3.634

10.  Snoring: is a reliable assessment possible?

Authors:  René Fischer; Thomas S Kuehnel; Veronika Vielsmeier; Frank Haubner; Steffen Mueller; Christian Rohrmeier
Journal:  Eur Arch Otorhinolaryngol       Date:  2020-02-03       Impact factor: 2.503

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