PREDiction of Different Variants of Sleep Stages for the Diagnosis Support of Chronic Insomnia and Epilepsy
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- This is an observational study: the protocol does not assign a study treatment.
- Who it may be relevant to
- Registry conditions: Chronic Insomnia, Epilepsy, Sleep Disorders. Basic parameters: 18 years — 65 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Center list to be confirmed — check the primary protocol.
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Overview
The objective of this study is to develop and validate deep learning algorithms for automated sleep stage and sub-stage classification using overnight polysomnography data. The models will be trained and evaluated on at least three independent datasets to ensure generalizability. \- Primary Outcome Measure : Accuracy of deep learning-based sleep stage classification compared to expert manual scoring (\>80% target agreement), evaluated across multiple polysomnography datasets including AP-HP (Assistance Publique - Hôpitaux de Paris) data. This is a retrospective, observational study.
Primary outcome measures
- Prediction accuracy of sleep stages and sub-stages [Time frame: Single overnight polysomnography recording per participant (duration of approximately 8 to 12 hours)]
Secondary outcome measures (2)
- Prediction accuracy of chronic insomnia profiles [Time frame: Single overnight polysomnography recording per participant (duration of approximately 8 to 12 hours)]
- Prediction accuracy of epilepsy profiles [Time frame: Single overnight polysomnography recording per participant (duration of approximately 8 to 12 hours)]
Eligibility criteria
Inclusion criteria
- Patients with chronic insomnia and/or epilepsy who underwent polysomnography in a neurophysiology or neurology setting under the responsibility of Pr Navarro between 01 September 2011 and 31 December 2024.
- Age ≥18 and ≤65 years at the time of the polysomnography recording.
Exclusion criteria
- Severe psychiatric disorder, including decompensated psychotic disorder, manic episode, or major depressive episode with melancholic features.
- Use of continuous positive airway pressure (CPAP) therapy during the night of recording.
- Patient refusal or documented opposition to data use.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Observational model
- Cohort
Study locations
Center list to be confirmed — check the primary protocol.
Identifiers
NCT: NCT07547501 · APHP241330