Prospective Evaluation of Probabilistic Predictions of Epileptic Seizure Risk Using the EPIDAY Tool
EPIDAY
1 other identifier
interventional
50
1 country
1
Brief Summary
Studies suggest the existence of a pre-critical state preceding the onset of an epileptic seizure. Identifying these states from self-reported prodromal symptoms, combined with machine learning algorithms, could help anticipate seizures.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Oct 2025
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 7, 2025
CompletedFirst Posted
Study publicly available on registry
July 16, 2025
CompletedStudy Start
First participant enrolled
October 1, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 1, 2028
ExpectedStudy Completion
Last participant's last visit for all outcomes
January 1, 2028
September 15, 2025
September 1, 2025
2.3 years
July 7, 2025
September 12, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Evaluation of the performance of daily probabilistic prediction of epileptic seizure risk using the EPIDAY mobile application, in patients with focal epilepsy, under real-life conditions.
number of patients with a Brier score \< 0.3 and a Brier Skill Score \> 0
28 months
Study Arms (1)
EPIDAY application
EXPERIMENTALDaily self-assessment via the Epiday application and collection of a seizure diary.
Interventions
Daily self-assessment via the Epiday application during 3 months
Eligibility Criteria
You may qualify if:
- Age between 18 and 65
- Focal epilepsy diagnosed for at least 18 months
- Brain imaging as part of the etiological work-up for epilepsy showing no progressive cause
- EEG compatible with the diagnosis of epilepsy within the last 10 years
- At least 2 non-contiguous days of epileptic seizures per month, according to the patient
- Ability of the patient to understand and use a mobile application on the personal smartphone
- Free, informed and signed consent
- Affiliation with a social security scheme (excluding AME)
You may not qualify if:
- Suspicion or diagnosis of other types of associated malaise: functional dissociative seizures, syncope or other malaise of non-neurological origin
- Assessment of seizure frequency deemed unreliable by the investigator (eg. due to cognitive impairment)
- Inability to describe seizures accurately
- Presence of more than 15 days with seizures per month
- Pregnant or breastfeeding woman
- Patient under guardianship, curatorship, deprived of liberty
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Hôpital Pitié-Salpêtrière, AP-HP
Paris, 75013, France
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- OTHER
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 7, 2025
First Posted
July 16, 2025
Study Start
October 1, 2025
Primary Completion (Estimated)
January 1, 2028
Study Completion (Estimated)
January 1, 2028
Last Updated
September 15, 2025
Record last verified: 2025-09
Data Sharing
- IPD Sharing
- Will not share