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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT03632382
Other study ID # 38RC17.359
Secondary ID
Status Completed
Phase N/A
First received
Last updated
Start date July 27, 2018
Est. completion date September 8, 2020

Study information

Verified date February 2021
Source University Hospital, Grenoble
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

This prospective study aims to establish and evaluate a predictive model to diagnose OSA with maxillofacial characteristics 3D acquisition.


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.


Recruitment information / eligibility

Status Completed
Enrollment 280
Est. completion date September 8, 2020
Est. primary completion date July 27, 2018
Accepts healthy volunteers Accepts Healthy Volunteers
Gender Male
Age group 40 Years to 75 Years
Eligibility 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

Study Design


Intervention

Diagnostic Test:
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

Locations

Country Name City State
France Grenoble Alpes University Hospital Grenoble

Sponsors (4)

Lead Sponsor Collaborator
University Hospital, Grenoble ARCTIC, ARTEHIS, SATT Linksium GRENOBLE

Country where clinical trial is conducted

France, 

Outcome

Type Measure Description Time frame Safety issue
Primary Establish and evaluate a predictive model for OSA diagnosis by 3D acquisition of characteristics maxillofacial apnea hypopnea index will be measured by polysomnography for each patient and compared to a predictive model establish from body mass index and 3D acquisition (cricomental distance...) 1 measure at inclusion
Secondary Sensitivity study from different stages of OSA severity OSA severity stages will be apnea hypopnea index <5, <10, <15 1 measure at inclusion
Secondary Compare diagnosis performances of predictive model and Berlin or NoSAS questionnaires Correlation between the Berlin or NoSAS score and the predictive model results 1 measure at inclusion
Secondary Evaluate performances of the combination (Berlin questionnaire + predictive model) to estimate the OSA risk Calculate the sensitivity, specificity, predictive positive value and predictive negative value of the combination 1 measure at inclusion
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