14 Participants Needed

Seizure Risk Forecasting for Epilepsy

(ECLIPSE Trial)

Age: 18+
Sex: Any
Trial Phase: Academic
Sponsor: Insel Gruppe AG, University Hospital Bern
No Placebo GroupAll trial participants will receive the active study treatment (no placebo)

Trial Summary

Will I have to stop taking my current medications?

The trial information does not specify whether you need to stop taking your current medications. It is best to discuss this with the trial coordinators or your doctor.

What data supports the effectiveness of the treatment 'Control seizure risk forecast, Seizure risk forecast' for epilepsy?

Research shows that seizure forecasting using wearable devices and algorithms can predict seizure risk, potentially reducing injuries and deaths. These forecasts have been validated in studies, showing promising results in predicting seizure likelihood and clusters, which could help manage epilepsy more effectively.12345

Is the seizure risk forecasting treatment safe for humans?

The research articles primarily discuss the safety of antiepileptic drugs (AEDs) in general, noting that adverse drug reactions (ADRs) are common but can decrease with monitoring. While these studies focus on AEDs, they highlight the importance of monitoring for safety in treatments related to epilepsy.678910

How does the seizure risk forecasting treatment differ from other epilepsy treatments?

The seizure risk forecasting treatment is unique because it uses non-invasive wearable devices to predict the likelihood of seizures by analyzing cycles of epileptic activity, heart rate, and other physiological signals. This approach aims to provide continuous, probabilistic forecasts of seizure risk, which can help patients and clinicians better manage epilepsy by anticipating and potentially preventing seizures.2341112

What is the purpose of this trial?

The occurrence of seizures in epilepsy is not entirely random. Temporal patterns that organize the occurrence of seizures over weeks and months were previously unraveled using intracranial EEG System (IEEG) that monitors epileptic brain activity chronically. Seizures typically recur with patient-specific periodicity and are preceded by increases of epileptic brain activity over days. Here, the investigators developed new methods to forecast seizure likelihoods at a 24-h horizon. In this trial, participants will be provided with daily estimates about their upcoming risk of seizures. As a primary outcome, the performance of forecasts will be evaluated against the occurrence of electrographic seizures. As secondary outcome, the forecast's potential benefit for users in conveying actionable information in real-life will be assessed.

Research Team

MO

Maxime O Baud, MD, PhD

Principal Investigator

Department of Neurology, Inselspital Bern

Eligibility Criteria

This trial is for adults with hard-to-treat epilepsy who've had at least one seizure in the past year. They must have internet at home, a specific brain activity monitoring device already implanted, and be able to keep a diary of seizures. People can't join if they have drug or alcohol addiction, are pregnant, have certain other health problems, or can't use the monitoring device properly.

Inclusion Criteria

Home equipped with an internet connection
Informed Consent signed by the subject
Patients previously implanted with the RNS System, on stable detection settings enabling reliable detection of electrographic seizures
See 2 more

Exclusion Criteria

Insufficient number of electrographic seizures or insufficient forecasting performance in the training phase
Drug or alcohol addiction
I am not pregnant at the start of the trial.
See 4 more

Timeline

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Covert Phase

Participants receive double-blinded IEEG forecasts to evaluate performance against electrographic seizures

6-12 months

Overt Phase

Participants receive open-label forecasts to assess informativity and actionability

6-12 months

Withdrawal Phase

Participants experience a withdrawal of forecast information to assess changes in seizure management

3-6 months

Follow-up

Participants are monitored for safety and effectiveness after treatment

4 weeks

Treatment Details

Interventions

  • Control seizure risk forecast
  • Seizure risk forecast
Trial Overview The ECLIPSE trial tests new methods that predict daily seizure risks using data from an implanted brain activity monitor. Participants will receive these predictions to see how well they match actual seizures and whether this information helps them manage their condition better in everyday life.
Participant Groups
2Treatment groups
Experimental Treatment
Active Control
Group I: IEEG-forecastExperimental Treatment1 Intervention
Potentially informative seizure forecast.
Group II: Control-forecastActive Control1 Intervention
Uninformative control seizure forecast.

Find a Clinic Near You

Who Is Running the Clinical Trial?

Insel Gruppe AG, University Hospital Bern

Lead Sponsor

Trials
831
Recruited
2,353,000+

University of California, San Francisco

Collaborator

Trials
2,636
Recruited
19,080,000+

Findings from Research

In a study of 355 patients on chronic antiepileptic drugs followed for an average of 11 months, 41.6% experienced adverse drug reactions (ADRs), but the frequency of reports decreased over time, indicating improved management of side effects.
The percentage of patients who became seizure-free increased significantly from 24.5% to 42.8%, suggesting that intensive monitoring of ADRs not only helps in identifying drug toxicity but also contributes to better overall epilepsy management.
Adverse reactions to antiepileptic drugs: a follow-up study of 355 patients with chronic antiepileptic drug treatment. Collaborative Group for Epidemiology of Epilepsy.[2019]
The Spanish version of the Liverpool Adverse Events Profile (LAEP) was validated in a study involving 266 patients with epilepsy, demonstrating strong internal consistency (Cronbach's alpha=0.84) and test-retest reliability (ICC=0.81).
The LAEP effectively correlated with other established measures of quality of life and mental health, indicating its usefulness in assessing adverse events in Spanish-speaking epilepsy patients.
Validation of the Spanish version of the Liverpool Adverse Events Profile in patients with epilepsy.Carreño, M., Donaire, A., Falip, M., et al.[2022]

References

Evaluation and recommendations for effective data visualization for seizure forecasting algorithms. [2022]
Forecasting seizure likelihood from cycles of self-reported events and heart rate: a prospective pilot study. [2023]
Forecasting seizure clusters from chronic ambulatory electrocorticography. [2022]
Seizure count forecasting to aid diagnostic testing in epilepsy. [2023]
Objective measure of treatment outcome in epilepsy. [2019]
Adverse reactions to antiepileptic drugs: a follow-up study of 355 patients with chronic antiepileptic drug treatment. Collaborative Group for Epidemiology of Epilepsy. [2019]
Evaluation of drug treatment outcome in epilepsy: a clinical perspective. [2019]
Relationship between adverse effects of antiepileptic drugs, number of coprescribed drugs, and drug load in a large cohort of consecutive patients with drug-refractory epilepsy. [2022]
Validation of the Spanish version of the Liverpool Adverse Events Profile in patients with epilepsy. [2022]
Adults discharged after an epileptic seizure: a model of 30-day risk for adverse outcomes. [2020]
11.United Statespubmed.ncbi.nlm.nih.gov
Seizure forecasting: Where do we stand? [2023]
12.United Statespubmed.ncbi.nlm.nih.gov
Seizure forecasting: Bifurcations in the long and winding road. [2023]
Unbiased ResultsWe believe in providing patients with all the options.
Your Data Stays Your DataWe only share your information with the clinical trials you're trying to access.
Verified Trials OnlyAll of our trials are run by licensed doctors, researchers, and healthcare companies.
Back to top
Terms of Service·Privacy Policy·Cookies·Security