Identification of Volatile Organic Compounds (VOCs) as Biopredictors of Epileptic Seizures

NCT05865561 | Recruiting

• 1 other identifier: PLR_2022_12
• Study Type: observational
• Target: 100
• Locations: 1 country
• Sites: 2

Brief Summary

The unpredictable nature of epileptic seizures places people with epilepsy under permanent psychological stress, which contributes significantly to a restriction in their quality of life. The possibility of predicting the arrival of epileptic seizures would allow, in addition to taking a preventive treatment if the risk of seizure is close, to prevent traumas and accidents linked to possible falls during seizures, to authorize driving for certain people with epilepsy and to reduce the costs of medical care. To date and to our knowledge, no seizure detection device has been commercialized. There are commercialized devices based on biometric sensors other than EEG, but these are strictly dedicated to the detection of seizures and do not allow the anticipation of seizures. Regarding prediction, current research seems to have difficulties in developing convincing algorithms. The only system used successfully in real time would require a device implantable in the brain, but this would raise problems of acceptability. In addition, 20% of people with drug-resistant epilepsy have psychogenic non-epileptic seizures (PNES). These are sometimes difficult to differentiate from epileptic seizures by people with epilepsy and their caregivers, and their management differs from that of epileptic seizures. The distinction between these 2 types of events should also be taken into account by these prediction/detection tools. From the field of biomedical detection dogs, there is currently a converging body of evidence supporting that people with epilepsy emit specific odors associated with seizure events. Trained dogs have been shown to be able to discriminate body odors sampled during or just after an epileptic seizure from those sampled from the same subjects in various contexts outside of a seizure. It was also shown that a seizure can also be predicted by the volatile organic compounds (VOCs) released by the patient (human volatilome); the olfactory signature being already detectable up to 3h before a seizure. Another study used trained dogs to confirm that they are able to detect a seizure by smell and that this olfactory difference is already detectable before a seizure. The human volatilome VOCs lead is particularly promising, notably for its non-invasiveness and for the pre-ictal precocity that prediction allows. But at the moment, the studies are too studies are too preliminary, with sample sizes too small to conclude on the inter-individual generalization of the odor, taking into account the type of seizure involved and the influence of other variables (e.g., gender, age, medications). Moreover, in order to develop a reliable and transportable electronic detection tool, the identification of the VOCs involved is necessary, since the choice of sensors (e.g., to constitute an electronic nose) depends on it. The objective of this study is to overcome these shortcomings, by aiming at the identification of the informative odor(s) associated with epileptic events during the pre-ictal, ictal and post-ictal periods, taking into account the type of seizures (focal seizures, secondary generalized focal seizures, primary generalized seizures - motor and non-motor) and the inter-individual differences.

Conditions

Epilepsy

Outcome Measures

Primary Outcomes (1)

• Identification of human volatile organic compounds (VOCs) biopredictors of epileptic seizures.

  Distribution of molecules or pieces of molecules per sample.

  Day 0

Interventions

VOC sampling OTHER

* Continuous systematic sampling at HFAR: Samples every 3 hours (3 a.m., 6 a.m., 9 a.m., 12 p.m., 3 p.m., 6 p.m., 9 p.m., midnight) until the end of the monitoring period. * Systematic sampling during the day: Samples every 3 hours at Institut La TEPPE (9am, 12pm, 3pm, 6pm, 9pm) until the end of the follow-up period. * Sampling in case of epileptic seizure : Sampling during the seizure (from t0 to t+5 min), whatever the time. The samples will be taken using a compress on the forehead, the palms of the hands and the back of the neck. The compress will then be placed in a freezer bag and the person with epilepsy will be asked to exhale into the bag, if he/she is able to do so, before closing it.

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

The epileptics will be recruited by the neurologists from among the epileptics treated at the Institut la Teppe and the Fondation A de Rothschild Hospital who meet the selection criteria.

You may qualify if:

• Person at least 18 years of age
• With drug-resistant epilepsy according to the ILAE criteria
• With one of the following 3 types of seizures :
• Focal seizures Focal seizures with secondary generalization Generalized seizures - motor or non-motor
• Requiring at least 48 hours of video-EEG
• Consent to participate in the study from the patient and his/her legal guardian, if applicable
• Affiliated or beneficiary of a social security plan

You may not qualify if:

• Person with epilepsy benefiting from a legal protection measure other than curatorship or guardianship
• Pregnant or breastfeeding woman

Sponsors & Collaborators

• Fondation Ophtalmologique Adolphe de Rothschild: lead

Study Sites (2)

Hôpital Fondation Adolphe de Rothschild

Paris, 75019, France

RECRUITING

Institut La Teppe

Tain-l'Hermitage, 26600, France

RECRUITING

MeSH Terms

Conditions

Epilepsy

Condition Hierarchy (Ancestors)

Brain Diseases; Central Nervous System Diseases; Nervous System Diseases

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: NETWORK
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: April 27, 2023
• First Posted: May 19, 2023
• Study Start: February 3, 2024
• Primary Completion (Estimated): June 24, 2026
• Study Completion (Estimated): June 24, 2026
• Last Updated: December 17, 2025

Record last verified: 2025-12

Locations

FR (2)