BodySleep Algorithm for OSA Diagnosis in Children

January 9, 2026 updated by: Central Hospital, Nancy, France

The Use of the BodySleep Algorithm (ResMed) for the Diagnosis of Obstructive Sleep Apnea Syndrome in Children

Diagnosing obstructive sleep apnea-hypopnea syndrome in children (OSA) requires the performance of polysomnography (PSG) in the hospital which is sometimes challenging to perform in children, and time-consuming for installation and analysis. Simplified recording and analysis methods are preferable in children but require validation in this population.

The BodySleep automatic algorithm of the polysomnograph used in our lab (A1-Nox, ResMed) associated only with respiratory signals could be used to identify respiratory events. Thus the child would have fewer sensors installed on him.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Detailed Description

The diagnosis of obstructive sleep apnea-hypopnea syndrome in children (OSA) requires the performance of polysomnography (PSG) in the hospital with video surveillance and monitoring by a nurse to put the sensors back on the child if necessary. During the night. The PSG gives the index of obstructive apnea-hypopnea (IAHO) necessary for the diagnosis of OSAS and to determine its severity. But the PSG is a rather cumbersome examination, sometimes challenging to perform in children, with several sensors and electrodes to install (electroencephalogram (EEG), electromyogram (EMG), electrooculogram (EOG), necessary to determine the periods of wakefulness -sleep and intra-sleep micro-arousals, nasal cannula, thoracoabdominal straps, pulse oximetry, actimetry to score respiratory events), time-consuming for installation and analysis. Simplified recording and analysis methods are preferable in children but require validation in this population.

The BodySleep automatic algorithm of the polysomnograph used in our service (A1-Nox, ResMed) combines actigraphy data (body position during sleep) and induction plethysmography signal resulting from the thoracoabdominal belts to identify sleep-wake stages could be used instead of EEG, EOG and EMG electrodes. The BodySleep algorithm associated only with respiratory signals (nasal cannula, thoracoabdominal straps, pulse oximetry, actimetry) could be used to identify respiratory events. Thus the child would have fewer sensors installed on him.

The hypothesis of this study is that the BodySleep algorithm associated with respiratory signals can identify OSA in children.

Study Type

Observational

Enrollment (Estimated)

90

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

  • France
    • Grand Est
      • Nancy, Grand Est, France, 54000
        • Recruiting
        • CHRU de NANCY
        • Contact:
        • Principal Investigator:
          • Iulia Ioan, MDPhD

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

A retrospective study including children aged 2 to 18 years addressed for a PSG.

Description

Inclusion Criteria:

  • Children suspected of OSA who are addressed for a PSG by the ear nose throat physician, pediatric pulmonologist, neurologist, psychiatrist, sleep specialist, genetics, and nutritionist physician.
  • Age between 2 and 18 years

Exclusion Criteria:

  • Age under 2 years and over 18 years

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Obstructive apnea-hypopnea index by BodySleep in comparison with OAHI by PSG
Time Frame: One night
To determine if the obstructive apnea-hypopnea index (OAHI) obtained by the BodySleep algorithm is underestimated in comparison with the OAHI obtained by the PSG
One night

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Central Hospital, Nancy, France

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

January 10, 2026

Primary Completion (Estimated)

January 10, 2026

Study Completion (Estimated)

January 15, 2026

Study Registration Dates

First Submitted

March 6, 2023

First Submitted That Met QC Criteria

January 9, 2026

First Posted (Actual)

January 15, 2026

Study Record Updates

Last Update Posted (Actual)

January 15, 2026

Last Update Submitted That Met QC Criteria

January 9, 2026

Last Verified

January 1, 2026

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 2023PI030

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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