Non-invasive Device for the Screening and Diagnosis of Sleep Apnea Syndrome

NCT ID: NCT03632382

Last Updated: 2021-02-10

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

280 participants

Study Classification

INTERVENTIONAL

Study Start Date

2018-07-27

Study Completion Date

2020-09-08

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

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

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

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.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Obstructive Sleep Apnea

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Allocation Method

NA

Intervention Model

SINGLE_GROUP

Prospective
Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

NONE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

OSA diagnosis with 3D acquisition

OSA diagnosis with 3D acquisition

Group Type OTHER

3D acquisition of maxillofacial characteristics

Intervention Type DIAGNOSTIC_TEST

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

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

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

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

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
Minimum Eligible Age

40 Years

Maximum Eligible Age

75 Years

Eligible Sex

MALE

Accepts Healthy Volunteers

Yes

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

SATT Linksium GRENOBLE

UNKNOWN

Sponsor Role collaborator

ARTEHIS

UNKNOWN

Sponsor Role collaborator

ARCTIC

UNKNOWN

Sponsor Role collaborator

University Hospital, Grenoble

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Jean-Louis PEPIN

Role: PRINCIPAL_INVESTIGATOR

CHU Grenoble Alpes

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Grenoble Alpes University Hospital

Grenoble, , France

Site Status

Countries

Review the countries where the study has at least one active or historical site.

France

References

Explore related publications, articles, or registry entries linked to this study.

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.

Reference Type DERIVED
PMID: 35567881 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

38RC17.359

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.