Literature DB >> 22835145

Added value of a mandible movement automated analysis in the screening of obstructive sleep apnea.

Gisele Maury1, Laurent Cambron, Jacques Jamart, Eric Marchand, Frédéric Senny, Robert Poirrier.   

Abstract

In-laboratory polysomnography is the 'gold standard' for diagnosing obstructive sleep apnea syndrome, but is time consuming and costly, with long waiting lists in many sleep laboratories. Therefore, the search for alternative methods to detect respiratory events is growing. In this prospective study, we compared attended polysomnography with two other methods, with or without mandible movement automated analysis provided by a distance-meter and added to airflow and oxygen saturation analysis for the detection of respiratory events. The mandible movement automated analysis allows for the detection of salient mandible movement, which is a surrogate for arousal. All parameters were recorded simultaneously in 570 consecutive patients (M/F: 381/189; age: 50±14 years; body mass index: 29±7 kg m(-2) ) visiting a sleep laboratory. The most frequent main diagnoses were: obstructive sleep apnea (344; 60%); insomnia/anxiety/depression (75; 13%); and upper airway resistance syndrome (25; 4%). The correlation between polysomnography and the method with mandible movement automated analysis was excellent (r: 0.95; P<0.001). Accuracy characteristics of the methods showed a statistical improvement in sensitivity and negative predictive value with the addition of mandible movement automated analysis. This was true for different diagnostic thresholds of obstructive sleep severity, with an excellent efficiency for moderate to severe index (apnea-hypopnea index ≥15h(-1) ). A Bland &amp; Altman plot corroborated the analysis. The addition of mandible movement automated analysis significantly improves the respiratory index calculation accuracy compared with an airflow and oxygen saturation analysis. This is an attractive method for the screening of obstructive sleep apnea syndrome, increasing the ability to detect hypopnea thanks to the salient mandible movement as a marker of arousals.
© 2012 European Sleep Research Society.

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Year:  2012        PMID: 22835145     DOI: 10.1111/j.1365-2869.2012.01035.x

Source DB:  PubMed          Journal:  J Sleep Res        ISSN: 0962-1105            Impact factor:   3.981


  5 in total

1.  Mandibular movements identify respiratory effort in pediatric obstructive sleep apnea.

Authors:  Jean-Benoît Martinot; Fréderic Senny; Stéphane Denison; Valérie Cuthbert; Emmanuelle Gueulette; Hervé Guénard; Jean-Louis Pépin
Journal:  J Clin Sleep Med       Date:  2015-04-15       Impact factor: 4.062

2.  Validation of midsagittal jaw movements to measure sleep in healthy adults by comparison with actigraphy and polysomnography.

Authors:  Bassam Chakar; Frédéric Senny; Anne-Lise Poirrier; Laurent Cambron; Julien Fanielle; Robert Poirrier
Journal:  Sleep Sci       Date:  2017 Jul-Sep

3.  Impact of sacubitril-valsartan combination in patients with chronic heart failure and sleep apnoea syndrome: the ENTRESTO-SAS study design.

Authors:  Dany Jaffuel; Nicolas Molinari; Philippe Berdague; Atul Pathak; Michel Galinier; Marion Dupuis; Jean-Etienne Ricci; Jean-Pierre Mallet; Arnaud Bourdin; François Roubille
Journal:  ESC Heart Fail       Date:  2018-02-22

4.  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

5.  Text Mining of Journal Articles for Sleep Disorder Terminologies.

Authors:  Calvin Lam; Fu-Chih Lai; Chia-Hui Wang; Mei-Hsin Lai; Nanly Hsu; Min-Huey Chung
Journal:  PLoS One       Date:  2016-05-20       Impact factor: 3.240

  5 in total

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