Literature DB >> 28225162

Mandibular position and movements: Suitability for diagnosis of sleep apnoea.

Jean-Benoit Martinot1, Jean-Christian Borel2,3, Valérie Cuthbert1, Hervé Jean-Pierre Guénard4, Stéphane Denison1, Philip E Silkoff5, David Gozal6, Jean-Louis Pepin3,7.   

Abstract

BACKGROUND AND
OBJECTIVE: Mandibular movements (MMs) and position during sleep reflect respiratory efforts related to increases in upper airway resistance and micro-arousals. The study objective was to assess whether MM identifies sleep-disordered breathing (SDB) in patients with moderate to high pre-test probability.
METHODS: This was a prospective study of 87 consecutive patients referred for an in-laboratory sleep test. Magnetometer-derived MM signals were incorporated into standard polysomnography (PSG). Respiratory events detected with MM analysis were compared with PSG for respiratory disturbance index (RDI) with a blinded scoring. All records were scored manually according to American Academy of Sleep Medicine rules. Primary outcome was to rule-in obstructive sleep apnoea syndrome (OSAS) defined as RDI cut-off value ≥5 or 15/h total sleep time (TST).
RESULTS: High concordance emerged between MM and PSG-derived RDI with high temporal coincidence between events (R2  = 0.906; P < 0.001). The mean diagnostic accuracy of MM for OSAS using RDI MM cut-off values of 5.9 and 13.5 was 0.935 (0.86-0.97) and 0.913 (0.84-0.95), with a mean positive likelihood ratio (LLR+) of 3.73 (2.7-20.4) and 8.46 (2.3-31.5), respectively. Receiver operating characteristic (ROC) curves at PSG cut-off values of 5 and 15/h TST had areas under the curve (AUC) of 0.96 (95% CI: 0.89-0.99) and 0.97 (95% CI: 0.91-0.99) (P < 0.001), respectively. MM analysis accurately identified SDB at different levels of severity.
CONCLUSION: RDI assessed by MM is highly concordant with PSG, suggesting a role of ambulatory MM recordings to screen for SDB in patients with moderate to high pre-test probability.
© 2016 Asian Pacific Society of Respirology.

Entities:  

Keywords:  obstructive sleep apnoea syndrome; portable monitor device; respiratory effort; sleep mandibular movements

Mesh:

Year:  2016        PMID: 28225162     DOI: 10.1111/resp.12929

Source DB:  PubMed          Journal:  Respirology        ISSN: 1323-7799            Impact factor:   6.424


  5 in total

1.  Mandibular Movements As Accurate Reporters of Respiratory Effort during Sleep: Validation against Diaphragmatic Electromyography.

Authors:  Jean-Benoît Martinot; Nhat-Nam Le-Dong; Valerie Cuthbert; Stephane Denison; Philip E Silkoff; Hervé Guénard; David Gozal; Jean-Louis Pepin; Jean-Christian Borel
Journal:  Front Neurol       Date:  2017-07-21       Impact factor: 4.003

2.  Monitoring mandibular movements to detect Cheyne-Stokes Breathing.

Authors:  Jean-Benoît Martinot; Jean-Christian Borel; Nhat-Nam Le-Dong; Hervé Jean-Pierre Guénard; Valerie Cuthbert; Philip E Silkoff; David Gozal; Jean-Louis Pepin
Journal:  Respir Res       Date:  2017-04-20

3.  Diagnosis of Sleep Apnoea Using a Mandibular Monitor and Machine Learning Analysis: One-Night Agreement Compared to in-Home Polysomnography.

Authors:  Julia L Kelly; Raoua Ben Messaoud; Marie Joyeux-Faure; Robin Terrail; Renaud Tamisier; Jean-Benoît Martinot; Nhat-Nam Le-Dong; Mary J Morrell; Jean-Louis Pépin
Journal:  Front Neurosci       Date:  2022-03-15       Impact factor: 4.677

4.  Assessment of Mandibular Movement Monitoring With Machine Learning Analysis for the Diagnosis of Obstructive Sleep Apnea.

Authors:  Jean-Louis Pépin; Clément Letesson; Nhat Nam Le-Dong; Antoine Dedave; Stéphane Denison; Valérie Cuthbert; Jean-Benoît Martinot; David Gozal
Journal:  JAMA Netw Open       Date:  2020-01-03

5.  Machine Learning-based Sleep Staging in Patients with Sleep Apnea Using a Single Mandibular Movement Signal.

Authors:  Nhat-Nam Le-Dong; Jean-Benoit Martinot; Nathalie Coumans; Valérie Cuthbert; Renaud Tamisier; Sébastien Bailly; Jean-Louis Pépin
Journal:  Am J Respir Crit Care Med       Date:  2021-11-15       Impact factor: 21.405

  5 in total

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