Literature DB >> 32946702

Mandibular Advancement Device Treatment Efficacy Is Associated with Polysomnographic Endotypes.

Sara Op de Beeck1,2,3, Marijke Dieltjens1,3,4, Ali Azarbarzin5, Marc Willemen2, Johan Verbraecken1,2,6, Marc J Braem1,4, Andrew Wellman5, Scott A Sands5, Olivier M Vanderveken1,2,3.   

Abstract

Rationale: Mandibular advancement device (MAD) treatment efficacy varies among patients with obstructive sleep apnea.
Objectives: The current study aims to explain underlying individual differences in efficacy using obstructive sleep apnea endotypic traits calculated from baseline clinical polysomnography: collapsibility (airflow at normal ventilatory drive), loop gain (drive response to reduced airflow), arousal threshold (drive preceding arousal), compensation (increase in airflow as drive increases), and the ventilatory response to arousal (increase in drive explained by arousal). On the basis of previous research, we hypothesized that responders to MAD treatment have a lower loop gain and milder collapsibility.
Methods: Thirty-six patients (median apnea-hypopnea index [AHI], 23.5 [interquartile range (IQR), 19.7-29.8] events/h) underwent baseline and 3-month follow-up full polysomnography, with MAD fixed at 75% of maximal protrusion. Traits were estimated using baseline polysomnography according to Sands and colleagues. Response was defined as an AHI reduction ≥ 50%.
Results: MAD treatment significantly reduced AHI (49.7%baseline [23.9-63.6], median [IQR]). Responders exhibited lower loop gain (mean [95% confidence interval], 0.53 [0.48-0.58] vs. 0.65 [0.57-0.73]; P = 0.020) at baseline than nonresponders, a difference that persisted after adjustment for baseline AHI and body mass index. Elevated loop gain remained associated with nonresponse after adjustment for collapsibility (odds ratio, 3.03 [1.16-7.88] per 1-standard deviation (SD) increase in loop gain [SD, 0.15]; P = 0.023).Conclusions: MAD nonresponders exhibit greater ventilatory instability, expressed as higher loop gain. Assessment of the baseline degree of ventilatory instability using this approach may improve upfront MAD treatment patient selection.Clinical trial registered with www.clinicaltrials.gov (NCT01532050).

Entities:  

Keywords:  MAD; OSA; obstructive sleep apnea; pathophysiology; personalized medicine

Mesh:

Year:  2021        PMID: 32946702      PMCID: PMC7919144          DOI: 10.1513/AnnalsATS.202003-220OC

Source DB:  PubMed          Journal:  Ann Am Thorac Soc        ISSN: 2325-6621


  40 in total

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Journal:  Sleep       Date:  1999-08-01       Impact factor: 5.849

2.  Nasopharyngoscopic evaluation of oral appliance therapy for obstructive sleep apnoea.

Authors:  A S L Chan; R W W Lee; V K Srinivasan; M A Darendeliler; R R Grunstein; P A Cistulli
Journal:  Eur Respir J       Date:  2009-09-24       Impact factor: 16.671

3.  A method for measuring and modeling the physiological traits causing obstructive sleep apnea.

Authors:  Andrew Wellman; Danny J Eckert; Amy S Jordan; Bradley A Edwards; Chris L Passaglia; Andrew C Jackson; Shiva Gautam; Robert L Owens; Atul Malhotra; David P White
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4.  Palatal prolapse as a signature of expiratory flow limitation and inspiratory palatal collapse in patients with obstructive sleep apnoea.

Authors:  Ali Azarbarzin; Scott A Sands; Melania Marques; Pedro R Genta; Luigi Taranto-Montemurro; Ludovico Messineo; David P White; Andrew Wellman
Journal:  Eur Respir J       Date:  2018-02-14       Impact factor: 16.671

5.  Oropharyngeal crowding and obesity as predictors of oral appliance treatment response to moderate obstructive sleep apnea.

Authors:  Satoru Tsuiki; Eiki Ito; Shiroh Isono; C Frank Ryan; Yoko Komada; Masato Matsuura; Yuichi Inoue
Journal:  Chest       Date:  2013-08       Impact factor: 9.410

6.  Upper-Airway Collapsibility and Loop Gain Predict the Response to Oral Appliance Therapy in Patients with Obstructive Sleep Apnea.

Authors:  Bradley A Edwards; Christopher Andara; Shane Landry; Scott A Sands; Simon A Joosten; Robert L Owens; David P White; Garun S Hamilton; Andrew Wellman
Journal:  Am J Respir Crit Care Med       Date:  2016-12-01       Impact factor: 21.405

7.  Optimal positive airway pressure predicts oral appliance response to sleep apnoea.

Authors:  S Tsuiki; M Kobayashi; K Namba; Y Oka; Y Komada; T Kagimura; Y Inoue
Journal:  Eur Respir J       Date:  2009-10-19       Impact factor: 16.671

8.  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

9.  Estimation of Pharyngeal Collapsibility During Sleep by Peak Inspiratory Airflow.

Authors:  Ali Azarbarzin; Scott A Sands; Luigi Taranto-Montemurro; Melania D Oliveira Marques; Pedro R Genta; Bradley A Edwards; James Butler; David P White; Andrew Wellman
Journal:  Sleep       Date:  2017-01-01       Impact factor: 5.849

10.  Retention of mandibular advancement devices in the treatment of obstructive sleep apnea: an in vitro pilot study.

Authors:  Olivier M Vanderveken; Paul Van de Heyning; Marc J Braem
Journal:  Sleep Breath       Date:  2013-08-21       Impact factor: 2.816

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1.  Development of a physiological-based model that uses standard polysomnography and clinical data to predict oral appliance treatment outcomes in obstructive sleep apnea.

Authors:  Ritaban Dutta; Benjamin K Tong; Danny J Eckert
Journal:  J Clin Sleep Med       Date:  2022-03-01       Impact factor: 4.062

Review 2.  Current and novel treatment options for obstructive sleep apnoea.

Authors:  Winfried Randerath; Jan de Lange; Jan Hedner; Jean Pierre T F Ho; Marie Marklund; Sofia Schiza; Jörg Steier; Johan Verbraecken
Journal:  ERJ Open Res       Date:  2022-06-27

3.  Clinical polysomnographic methods for estimating pharyngeal collapsibility in obstructive sleep apnea.

Authors:  Daniel Vena; Luigi Taranto-Montemurro; Ali Azarbarzin; Sara Op de Beeck; Melania Marques; Olivier M Vanderveken; Bradley A Edwards; Laura Gell; Nicole Calianese; Lauren B Hess; Reza Radmand; Garun S Hamilton; Simon A Joosten; Johan Verbraecken; Marc Braem; David P White; Susan Redline; Scott A Sands; Andrew Wellman
Journal:  Sleep       Date:  2022-06-13       Impact factor: 6.313

4.  Maxillomandibular advancement for obstructive sleep apnea: a retrospective prognostic factor study for surgical response.

Authors:  Ning Zhou; Jean-Pierre T F Ho; Wouter P Visscher; Naichuan Su; Frank Lobbezoo; Jan de Lange
Journal:  Sleep Breath       Date:  2022-10-22       Impact factor: 2.655

5.  Functional imaging improves patient selection for mandibular advancement device treatment outcome in sleep-disordered breathing: a prospective study.

Authors:  Hélène Van Gaver; Sara Op de Beeck; Marijke Dieltjens; Jan De Backer; Johan Verbraecken; Wilfried A De Backer; Paul H Van de Heyning; Marc J Braem; Olivier M Vanderveken
Journal:  J Clin Sleep Med       Date:  2022-03-01       Impact factor: 4.062

6.  Prediction of Mandibular Advancement Device Response Using CPAP Pressure in Different Polysomnographic Phenotypes.

Authors:  Chien-Feng Lee; Yunn-Jy Chen; Wen-Chi Huang; Jen-Wen Hou; Yu-Ting Liu; Tiffany Ting-Fang Shih; Pei-Lin Lee; Chong-Jen Yu
Journal:  Nat Sci Sleep       Date:  2022-03-25

Review 7.  Treatment options in obstructive sleep apnea.

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Journal:  Intern Emerg Med       Date:  2022-04-23       Impact factor: 5.472

8.  Examining the impact of multilevel upper airway surgery on the obstructive sleep apnoea endotypes and their utility in predicting surgical outcomes.

Authors:  Ai-Ming Wong; Shane A Landry; Simon A Joosten; Luke D J Thomson; Anthony Turton; Jeremy Stonehouse; Darren R Mansfield; Glen Burgess; Andrew Hays; Scott A Sands; Christopher Andara; Caroline J Beatty; Garun S Hamilton; Bradley A Edwards
Journal:  Respirology       Date:  2022-05-21       Impact factor: 6.175

Review 9.  Critical to Know Pcrit: A Review on Pharyngeal Critical Closing Pressure in Obstructive Sleep Apnea.

Authors:  Elahe Kazemeini; Eli Van de Perck; Marijke Dieltjens; Marc Willemen; Johan Verbraecken; Sara Op de Beeck; Olivier M Vanderveken
Journal:  Front Neurol       Date:  2022-02-22       Impact factor: 4.003

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