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Not yet recruitingNCT06754800Updated Jan 1, 2025

Pediatric Obstructive Sleep Apnea Diagnosis by Respiratory Polygraphy

An observational study in Sleep Apnea, Obstructive, sponsored by Central Hospital, Nancy, France. Not yet recruiting at 1 site in France. Open to participants aged 2 Years to 19 Years. Per ClinicalTrials.gov, last updated 2025-01-01.

Sponsored by Central Hospital, Nancy, France · Observational

From the registry’s dates

  • Primary completion was expected by Dec 2024, 1 year 9 months ago, but the record still lists the study as not yet recruiting.
Study type
Observational
Model
Cohort
Time perspective
Retrospective
Enrollment
95
Ages
2 Years to 19 Years
Sex
All
01

Study summary

Respiratory polygraphy (RP) can be used to detect obstructive sleep apnea syndrome in children (OSA) , but it underestimates the obstructive apnea-hypopnea index (OAHI) because hypopneas associated with cortical arousals are not evaluated. To compensate for this disadvantage, hypopneas linked with autonomic micro-arousals can be calculated from the drop in pulse wave amplitude (obtained dy oximetry), as increased respiratory efforts are related to autonomic nervous system activation, tachycardia, and elevated blood pressure.

The aim of this study is to compare OAHI obtained by RP alone or by RP considering hypopneas associated with autonomic micro-arousals with OAHI by polysomnography (PSG).

Read the detailed description

The diagnosis of obstructive sleep apnea syndrome in children (OSA) requires to perform a polysomnography (PSG) in hospitalization with video surveillance and monitoring by a nurse to put the sensors back on the child if necessary. PSG gives the obstructive apnea-hypopnea index (OAHI) necessary for the diagnosis of OSA and to determine its severity. But PSG is difficult to perform in children, with several sensors and electrodes to install.

Respiratory polygraphy (RP) which uses only respiratory signals (without the neurophysiological signals ) can be used for the diagnosis of OSA but it underestimates OAHI because the hypopneas associated with cortical micro-arousals are not taken into account. An alternative to overcome this disadvantage is to determine the presence of autonomic micro-arousals because the increase in respiratory efforts during sleep is associated with activation of the autonomic nervous system and cardiovascular effects, such as tachycardia and an increase in blood pressure. Consequently, these respiratory efforts are associated either with autonomic activation or with cortical micro-arousal. One method to determine autonomic micro-arousals is photo-plethysmography which reflects sympathetic activation. Photoplethysmography is obtained by oximetry signal and is a non-invasive technique based on measuring the relative absorption by the blood of red light and infrared light through the finger. The pulsation of arterial blood flow through the finger arteries modulates light absorption and generates a pulse wave signal.

Autonomic micro-arousals will be calculated according to 3 algorithms: reduction of 1) 30%; 2) 40%; 3) 50% of the photoplethysmography signal compared to the baseline and the hypopneas associated with these decreases will be taken into account in the calculation of the OAHI. Consequently, 3 OAHI will be obtained by RP including hypopneas associated with autonomic micro-arousals.

The aim of this study is to compare OAHI obtained by RP considering hypopneas associated with autonomic micro-arousals with OAHI by PSG.

The hypothesis of this study is that RP by adding hypopneas associated with autonomic micro-arousals can identify OSA in children.

02

Conditions studied

  • Sleep Apnea, Obstructive

Keywords

  • child
  • polysomnography
  • polygraphy
  • autonomic nervous system
03

In context

Apnea

1,422 studies on the registry are indexed under Apnea; 159 are open to participants now.

This study's planned enrollment of 95 is below the median of 106 across 386 observational studies indexed under Apnea.

Browse Apnea studies →

Lead sponsor

Central Hospital, Nancy, France is the lead sponsor of 778 studies on the registry; 183 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
2 Years to 19 Years
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Children aged 2 to 19 years adressed for a PSG in routine clinical care for suspicion of OSA by th ear-nose-throat physician, pediatric pulmonologist, sleep specialist, endocrtinologist, genetician

Inclusion criteria

  • Children with suspicion of OSA
  • Interpretable polysomnography

Exclusion criteria

Exclusion Criteria:

  • Non-interpretable polysomnography
05

Study design

Observational model
Cohort
Time perspective
Retrospective
Enrollment
95 participants (estimated)
Patient registry
No

Interventions

  • Diagnostic testPolysomnography in routine care

    Children performed a polysomnography in routine clinical care

06

What researchers measure

Primary outcomes

  1. OAHI in RP including hypopneas associated with autonomic micro-arousals correlated with OAHI by PSG

    Value of OAHI in RP including hypopneas associated with autonomic micro-arousals obtained by 3 algorithms (3 values of OAHI) correlated with OAHI by PSG

    Time frame: A single night

Secondary outcomes

  1. Diagnostic ability of RP including hypopneas associated with autonomic micro-arousals (obtained by the 3 algorithms) to diagnose OSA reported to PSG

    Sensitivity and specificity of the OAHI obtained by RP including hypopneas associated with autonomic micro-arousals to identify OSA in children

    Time frame: A single night

  2. Diagnostic ability of RP including hypopneas associated with autonomic micro-arousals (obtained by the 3 algorithms) to diagnose moderate-severe OSA reported to PSG

    Sensitivity and specificity of the OAHI obtained by RP including hypopneas associated with autonomic micro-arousals to identify moderate-severe OSA in children

    Time frame: A single night

  3. Determine the best of the 3 algorithms that better correlates with OAHI by PSG

    Comparison between the 3 correlation coefficients obtained from the correlation between value of OAHI in RP including hypopneas associated with autonomic micro-arousals obtained by 3 algorithms (3 values of OAHI) and OAHI by PSG

    Time frame: A single night

07

Study locations

1 site
  • University Hospital of Nancy
    Nancy, 54000, France
08

References and documents

Publications

  • Grote L, Zou D, Kraiczi H, Hedner J. Finger plethysmography--a method for monitoring finger blood flow during sleep disordered breathing. Respir Physiol Neurobiol. 2003 Jul 16;136(2-3):141-52. doi: 10.1016/s1569-9048(03)00090-9. PubMed 12853006 ↗
  • Haba-Rubio J, Darbellay G, Herrmann FR, Frey JG, Fernandes A, Vesin JM, Thiran JP, Tschopp JM. Obstructive sleep apnea syndrome: effect of respiratory events and arousal on pulse wave amplitude measured by photoplethysmography in NREM sleep. Sleep Breath. 2005 Jun;9(2):73-81. doi: 10.1007/s11325-005-0017-y. PubMed 15875228 ↗

Individual participant data

Plan to share: No

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jan 1, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06754800
Lead sponsor
Central Hospital, Nancy, France
Responsible party
Sponsor
First posted
Jan 1, 2025
Start date
Dec 22, 2024 (estimated)
Primary completion
Dec 28, 2024 (estimated)
Completion
Jan 6, 2025 (estimated)
Last update
Jan 1, 2025

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Dec 2024. You cannot join it, but the record below documents what was studied.

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