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Enhanced Respiratory Polygraphy in Suspected OSA

Enhanced Respiratory Polygraphy (PV_e) Using Single Channel EEG-based Automatic Sleep Scoring in Suspected Obstructive Sleep Apnea: Feasibility and Efficiency as Compared With Polygraphy and Polysomnography

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05949853
Acronym
PVa
Enrollment
30
Registered
2023-07-18
Start date
2023-01-01
Completion date
2023-12-01
Last updated
2023-11-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Sleep Apnea, Obstructive

Keywords

Polysomnography, Polygraphy, single channel EEG automated sleep scoring

Brief summary

Obstructive Sleep Apnea (OSA) remains underdiagnosed in 2022, as a result of the unawareness of its serious health-related consequences and the lack of diagnosis accessibility. Respiratory polygraphy (PV) is widely used as a screening tool and sometimes a diagnosis test, although polysomnography (PSG) remains the gold standard investigation as it provides complete information about sleep architecture and arousals. Thus, it has been shown that the Apnea Hypopnea Index (AHI) and Respiratory Disorder Index (RDI) are underestimated by PV vs PSG. Approaches to substitute PSG by simpler but equally efficient diagnosis tests have included devices aiming to record complementary signals and to analyze them with Artificial Intelligence. In this context, ASEEGA algorithm has demonstrated its performance for automatic sleep scoring in healthy individuals and patients with various sleep disorders, based on a single channel EEG analysis. This study aims at comparing the real-life performance and feasibility of added single channel EEG automatic sleep scoring using ASEEGA to PV versus standard PV and PSG in adults referred to a regional sleep reference center for suspected OSA. We hypothesize that this approach (1) is as accurate as PSG and more accurate that PV for AHI analysis, and (2) is less time-consuming than PSG.

Interventions

OTHERthe respiratory parameters (AHI) and time spent

interpret the recording will be evaluated for PSG, PV and PV+ASEEGA Apnea Hypopnea Index as assessed by PSG (respiratory signals + electro-encephalography + electro-oculography + chin electromyography), PV (respiratory signals) and PV+ASEEGA (respiratory signals + result of sleep stages and arousals scoring by ASEEGA algorithm based on automatic analysis of one EEG Cz-Pz channel)

Sponsors

Hospices Civils de Lyon
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 99 Years
Healthy volunteers
No

Inclusion criteria

\- Hospitalized at the Center for Sleep Medicine and Respiratory Diseases, Hôpital de la Croix-Rousse, Lyon Academic Hospital, Lyon between 09/2022 and 11/2022 for PSG following suspected OSA .

Exclusion criteria

* Unreliable sleep scoring due to artefacts (\> 10% of the recording) or to epileptic abnormalities on the electroencephalography recordings * Presence of other suspected sleep disorder: central hypersomnia, rapid-eye-movement (REM) or non-REM sleep parasomnia, sleep-related motor disorders... * Ongoing psychotropic medication * Opposition of the patient to the use of their data.

Design outcomes

Primary

MeasureTime frameDescription
Apnea Hypopnea Index as assessed by PSGanalysis will start in January 2023 and should be completed after 6 months.Apnea Hypopnea Index will be scored by 2 sleep medical experts at 3 occurrences separated by 1 months interval in a random order (PSG/PV/PV+ASEEGA). Apnea Hypopnea Index in the three groups (PSG/PV/PV+ASEEGA) will be compared with Friedmann test or one factor ANOVA for paired data, according to data distribution, for each scorer

Countries

France

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026