Comparing cardiac variability in sleep apnea and healthy individuals
Official title: Evaluation of Autonomic Activity in REM Sleep by a New Marker of Cardiac Variability in Subjects With Severe Obstructive Sleep Apnea Hypopnea Syndrome
Run by University Hospital, Lille · NCT06808464 · Data updated 2026-11-12
This study is testing how heart rate changes during sleep in people with severe sleep apnea compared to healthy individuals to see if it can help create a better way to screen for sleep apnea.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years to 64 Years |
| Sex | All |
| Enrollment | 97 (estimated) |
| Sponsor | University Hospital, Lille Academic / other |
| Locations | 1 site (Lille) |
| Status | Recruiting |
| Started | May 14, 2025 |
| Main results expected | February 2027 |
| Study ends | February 2027 |
| Registry record updated | May 29, 2025 |
| Trial ID | NCT06808464 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates include individuals diagnosed with severe sleep apnea syndrome and healthy subjects without sleep disorders.
✕Probably not a fit
Patients with cardiac rhythm disorders or other significant neurological or psychiatric conditions may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study aims to analyze cardiac variability in patients with severe sleep apnea syndrome (SAS) compared to healthy individuals. The research focuses on measuring variations in cardiac variability during REM sleep, a critical phase for sleep apnea risk. By employing a machine learning system, the study seeks to establish a reliable and accessible screening method for SAS in outpatient settings. The methodology will also extend to other sleep phases and correlate findings with established cardiac variability markers.
Why it matters
Potential benefit: If successful, this study could lead to improved screening methods for sleep apnea, making diagnosis more accessible and efficient.
How similar studies have gone: While similar approaches using cardiac variability and machine learning have been explored, this specific methodology in the context of sleep apnea is relatively novel.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Group healthy subjects - 1): absence of sleep disorder referenced in the ICSD-3. * Epworth Sleep Scale \< 11 * Pittsburgh Quality Sleep Index \< 6 * Berlin Questionnaire: \< 2 positive categories * STOP BANG \<3 * HADS normal * No RLS * Group 2 (subjects with severe SAS - 2): AHI \> 30/h obstructive Exclusion Criteria: Non-inclusion criteria: * Cardiac rhythm disorder * Neurological or psychiatric pathology impacting on ANS * Control group (healthy subjects - 1) * Complaint of sleep disorder * Known sleep disorder * Experimental group (subjects with severe SAS - 2): o Associated sleep pathology at diagnosis of severe SAS * Administrative reasons: * Unable to receive informed information, * Unable to participate in the entire study * Lack of social security coverage * Refusal to sign consent Exclusion criteria * Control group (healthy subjects - 1): * Sleep pathology detected by polysomnography * Total sleep time less than 4 hours * Recording technically not usable
Where it's running
-
Service de Neurophysiologie - unité de médecine du Sommeil - CHU Lille
Lille, France Recruiting
Study contacts
- Principal investigator: Philippe DERAMBURE, MD — University Hospital, Lille
- Study coordinator: Philippe DERAMBURE, PR
- Email: Philippe.DERAMBURE@chu-lille.fr
- Phone: 0320445962
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.