- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05908188
Analysis of Mandibular Movements in Ventilated Children With Sleep Apnea Syndrome (AMANDA)
Analysis of Mandibular Movements to Optimize Ventilatory Management of Children With Obstructive Sleep Apnea Syndrome Treated With Continuous Positive Airway Pressure or Non-Invasive Ventilation.
Study Overview
Status
Conditions
Detailed Description
Obstructive Sleep apnea affects 4 percent of children. The standard device for the diagnosis and follow up is the polysomnography (PSG). However acess for this technique is difficult and expensive in certain institutions . Moreover, not all centers are qualified to receive the pediatric population. Thus expert consensus is present on the need for the development of a less expensive and easily accessible device to ensure the equality in medical care.
Recently an innovative medical device utilising the artificial intelligence technology is used to diagnose OSA in adults by recording the mandibular movement. Martinot et al were the first to use this device in children and noted a correlation between the mandibular movements and polysomnography measurements.
A multidisciplinary approach is used in the treatment of OSA. Indeed, the treatment is based on continous positive pressure and non invasive ventilation. To better evaluate the treatment, the sensor can be an alternative allowing to analyze the mandibular movements without moving at home.
We conducted an open prospective non randomised clinical trial to assess the efficacy of a new medical device called "SUNRISE" in the diagnosis and monitoring of OSA.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Guillaume Mortamet, MD
- Phone Number: +33 4 76 76 55 03
- Email: gmortamet@chu-grenoble.fr
Study Contact Backup
- Name: Guillaume Aubertin, MD
- Phone Number: +33 1 88 32 00 00
- Email: guillaume.aubertin@aphp.fr
Study Locations
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Grenoble, France
- Recruiting
- Grenoble University Hospital
-
Contact:
- Guillaume Mortamet, PhD
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Children aged 5-18 years inclusive.
- With a diagnosis of severe OSA diagnosed at PSG, defined by an apnoea-hypopnoea index ≥ 10/ hours or an apnoea index ≥ 5/ hours, and associated or not with alveolar hypoventilation.
- Ventilated with noninvaisve ventilation or continuous positive airway pressure during sleep.
- With a nasal or nostril interface.
- Followed in one of the 2 participating centres: the Grenoble-Alpes University Hospital or the Trousseau Hospital in Paris.
Exclusion Criteria:
- Patients with centrally-induced sleep apnoea syndrome.
- Patients at the end of life or for whom limitation of active therapies has been established.
- Patients ventilated with a naso-oral interface.
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Concomitant detection of residual obstructive breathing events by mandibular movements recorded by the sensor in comparison with a complete polysomnography recording performed in hospital under continuous positive pressure or non invasive ventilation
Time Frame: 1 year
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during one night in hospital and one night at home
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1 year
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Residual obstructive airway events detected by mandibular movements and integrated continuous positive pressure or non invasive ventilation monitoring software.
Time Frame: 1 year
|
the number of apnea and obstructive hypopnea per hour
|
1 year
|
|
The Obstructive Respiratory disturbance Index (ORDI) reproductibility
Time Frame: 1 year
|
To compare the Obstructive Respiratory disturbance Index (ORDI) (defined as the number of obstructive apneas, hypopneas, and flow limitation events per hour) calculated during the hospital recording and that calculated during the home recording.
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1 year
|
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The difference in the Obstructive Respiratory disturbance Index (ORDI) before and after the modification of ventilatory parameters
Time Frame: 1 year
|
The difference between the ORDI ((defined as the number of obstructive apneas, hypopneas, and flow limitation events per hour) at hospital recording and at home recording.
|
1 year
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Guillaume Mortamet, MD, GRENOBLE ALPES UNIVERSITY HOSPITAL
Publications and helpful links
General Publications
- Berry RB, Budhiraja R, Gottlieb DJ, Gozal D, Iber C, Kapur VK, Marcus CL, Mehra R, Parthasarathy S, Quan SF, Redline S, Strohl KP, Davidson Ward SL, Tangredi MM; American Academy of Sleep Medicine. Rules for scoring respiratory events in sleep: update of the 2007 AASM Manual for the Scoring of Sleep and Associated Events. Deliberations of the Sleep Apnea Definitions Task Force of the American Academy of Sleep Medicine. J Clin Sleep Med. 2012 Oct 15;8(5):597-619. doi: 10.5664/jcsm.2172.
- Kaditis AG, Alonso Alvarez ML, Boudewyns A, Alexopoulos EI, Ersu R, Joosten K, Larramona H, Miano S, Narang I, Trang H, Tsaoussoglou M, Vandenbussche N, Villa MP, Van Waardenburg D, Weber S, Verhulst S. Obstructive sleep disordered breathing in 2- to 18-year-old children: diagnosis and management. Eur Respir J. 2016 Jan;47(1):69-94. doi: 10.1183/13993003.00385-2015. Epub 2015 Nov 5.
- Redline S, Tishler PV, Schluchter M, Aylor J, Clark K, Graham G. Risk factors for sleep-disordered breathing in children. Associations with obesity, race, and respiratory problems. Am J Respir Crit Care Med. 1999 May;159(5 Pt 1):1527-32. doi: 10.1164/ajrccm.159.5.9809079.
- Lescanne E, Chiron B, Constant I, Couloigner V, Fauroux B, Hassani Y, Jouffroy L, Lesage V, Mondain M, Nowak C, Orliaguet G, Viot A; French Society of ENT (SFORL); French Association for Ambulatory Surgery (AFCA); French Society for Anaesthesia, Intensive Care (SFAR). Pediatric tonsillectomy: clinical practice guidelines. Eur Ann Otorhinolaryngol Head Neck Dis. 2012 Oct;129(5):264-71. doi: 10.1016/j.anorl.2012.03.003. Epub 2012 Oct 15.
- Aubertin G, Schroder C, Sevin F, Clouteau F, Lamblin MD, Vecchierini MF. [Obstructive sleep apnea-hypopnea syndrome in children: Clinical diagnosis]. Arch Pediatr. 2017 Feb;24 Suppl 1:S7-S15. doi: 10.1016/j.arcped.2016.09.002. Epub 2016 Oct 18. French.
- Abrahamyan L, Sahakyan Y, Chung S, Pechlivanoglou P, Bielecki J, Carcone SM, Rac VE, Fitzpatrick M, Krahn M. Diagnostic accuracy of level IV portable sleep monitors versus polysomnography for obstructive sleep apnea: a systematic review and meta-analysis. Sleep Breath. 2018 Sep;22(3):593-611. doi: 10.1007/s11325-017-1615-1. Epub 2018 Jan 9.
- Uddin MB, Chow CM, Su SW. Classification methods to detect sleep apnea in adults based on respiratory and oximetry signals: a systematic review. Physiol Meas. 2018 Mar 26;39(3):03TR01. doi: 10.1088/1361-6579/aaafb8.
- Lapina VA, Dontsov AE, Ostrovskii MA, Emanuel' NM. [Interaction of oxygen anion radicals with eye melanins and ommochromes]. Dokl Akad Nauk SSSR. 1985;280(6):1463-5. No abstract available. Russian.
- Gray EL, Barnes DJ. Beyond the thermistor: Novel technology for the ambulatory diagnosis of obstructive sleep apnoea. Respirology. 2017 Apr;22(3):418-419. doi: 10.1111/resp.13004. Epub 2017 Feb 14. No abstract available.
- Obermeyer Z, Emanuel EJ. Predicting the Future - Big Data, Machine Learning, and Clinical Medicine. N Engl J Med. 2016 Sep 29;375(13):1216-9. doi: 10.1056/NEJMp1606181. No abstract available.
- Amaddeo A, Caldarelli V, Fernandez-Bolanos M, Moreau J, Ramirez A, Khirani S, Fauroux B. Polygraphic respiratory events during sleep in children treated with home continuous positive airway pressure: description and clinical consequences. Sleep Med. 2015 Jan;16(1):107-12. doi: 10.1016/j.sleep.2014.07.030. Epub 2014 Nov 18.
- Pepin JL, Letesson C, Le-Dong NN, Dedave A, Denison S, Cuthbert V, Martinot JB, Gozal D. Assessment of Mandibular Movement Monitoring With Machine Learning Analysis for the Diagnosis of Obstructive Sleep Apnea. JAMA Netw Open. 2020 Jan 3;3(1):e1919657. doi: 10.1001/jamanetworkopen.2019.19657.
- Martinot JB, Senny F, Denison S, Cuthbert V, Gueulette E, Guenard H, Pepin JL. Mandibular movements identify respiratory effort in pediatric obstructive sleep apnea. J Clin Sleep Med. 2015 Apr 15;11(5):567-74. doi: 10.5664/jcsm.4706.
- Amaddeo A, Frapin A, Touil S, Khirani S, Griffon L, Fauroux B. Outpatient initiation of long-term continuous positive airway pressure in children. Pediatr Pulmonol. 2018 Oct;53(10):1422-1428. doi: 10.1002/ppul.24138. Epub 2018 Aug 1.
- Amaddeo A, Frapin A, Fauroux B. Long-term non-invasive ventilation in children. Lancet Respir Med. 2016 Dec;4(12):999-1008. doi: 10.1016/S2213-2600(16)30151-5. Epub 2016 Jul 13.
- Amaddeo A, Khirani S, Griffon L, Teng T, Lanzeray A, Fauroux B. Non-invasive Ventilation and CPAP Failure in Children and Indications for Invasive Ventilation. Front Pediatr. 2020 Oct 26;8:544921. doi: 10.3389/fped.2020.544921. eCollection 2020.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimated)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2021-A02697-34
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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