Non-invasive Device for the Screening and Diagnosis of Sleep Apnea Syndrome (Episas)
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About
This prospective study aims to establish and evaluate a predictive model to diagnose OSA with maxillofacial characteristics 3D acquisition.
Full description
Polysomnography is the gold-standard for obstructive sleep apnea (OSA) diagnosis. However, OSA is still undiagnosed. Maxillofacial profile can influence OSA severity. Morphological characteristics can be identified but are not enough measurable and analysable by physicians. 3D acquisition of maxillofacial characteristics with a user-friendly tool, quick and low-priced could be used to obtain a predictive model as an OSA risk indicator. Thus, the aim of this study is to establish and evaluate a predictive model to diagnose OSA with maxillofacial characteristics 3D acquisition.
Enrollment
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Volunteers
Inclusion criteria
- BMI < 35 kg/m²
- 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
- history of maxillofacial surgery
- dental malocclusion
- patient involved in another clinical research study
- patient not affiliated with social security
- patient deprived of liberty or hospitalized without consent
Trial design
Primary purpose
Allocation
Interventional model
Masking
280 participants in 1 patient group
Trial contacts and locations
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Data sourced from clinicaltrials.gov
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