Non-invasive Device for the Screening and Diagnosis of Sleep Apnea Syndrome
NCT ID: NCT03632382
Last Updated: 2021-02-10
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
280 participants
INTERVENTIONAL
2018-07-27
2020-09-08
Brief Summary
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Detailed Description
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Conditions
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Study Design
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NA
SINGLE_GROUP
DIAGNOSTIC
NONE
Study Groups
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OSA diagnosis with 3D acquisition
OSA diagnosis with 3D acquisition
3D acquisition of maxillofacial characteristics
A 3D acquisition of maxillofacial characteristics will be performed for each patient in order to validate a predictive model comparable to data obtained by polysomnography
Interventions
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3D acquisition of maxillofacial characteristics
A 3D acquisition of maxillofacial characteristics will be performed for each patient in order to validate a predictive model comparable to data obtained by polysomnography
Eligibility Criteria
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Inclusion Criteria
* caucasian men
* patients from the sleep laboratory (CHU Grenoble Alpes) admitted for a polysomnography
* Patient who has given free and informed consent in writing
Exclusion Criteria
* dental malocclusion
* patient involved in another clinical research study
* patient not affiliated with social security
* patient deprived of liberty or hospitalized without consent
40 Years
75 Years
MALE
Yes
Sponsors
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SATT Linksium GRENOBLE
UNKNOWN
ARTEHIS
UNKNOWN
ARCTIC
UNKNOWN
University Hospital, Grenoble
OTHER
Responsible Party
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Principal Investigators
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Jean-Louis PEPIN
Role: PRINCIPAL_INVESTIGATOR
CHU Grenoble Alpes
Locations
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Grenoble Alpes University Hospital
Grenoble, , France
Countries
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References
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Monna F, Ben Messaoud R, Navarro N, Baillieul S, Sanchez L, Loiodice C, Tamisier R, Joyeux-Faure M, Pepin JL. Machine learning and geometric morphometrics to predict obstructive sleep apnea from 3D craniofacial scans. Sleep Med. 2022 Jul;95:76-83. doi: 10.1016/j.sleep.2022.04.019. Epub 2022 Apr 29.
Other Identifiers
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38RC17.359
Identifier Type: -
Identifier Source: org_study_id
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