Haukeland University Hospital
Bergen, 5021, Norway
Location status: Recruiting
Location contact
Jan Brogger, MD PhD
CONTACT
Jan Brogger, MD PhD
PRINCIPAL_INVESTIGATOR
Tom Eichele, MD PhD
CONTACT
NCT Number: NCT06814665
A first epileptic seizure is a distressing experience, often leading to a complicated and discouraging journey before an epilepsy diagnosis is confirmed. Early diagnostics can help alleviate this uncertainty. It is important to note that seizure mimics and suspected epilepsy are more frequently encountered than an actual first diagnosis of epilepsy or an epileptic seizure. Conversely, delays in diagnosing epilepsy are also common. The current evidence base on first events that may be epileptic remains limited.
First seizure clinics, which provide specialized care for these cases, are becoming more common globally, but none have yet been established in Norway. There is a pressing need to assess the prevalence of first-seizure-like events in Bergen and the surrounding areas, as well as to investigate the clinical trajectory before and after an epilepsy diagnosis. EEG is the cornerstone of diagnostic testing for epilepsy after first seizure, and recent advancements have introduced artificial intelligence to enhance the accuracy of EEG-based epilepsy identification.
The investigators will identify in one year around 200 hospital-handled patients who had had an episode that may be epileptic. Patient will be followed up over two years, with data abstracted from the medical record regarding seizure diagnosis, new events, new brain-related diagnoses and complications. Data will also be gathered from government databases in primary and secondary care regarding complications from seizure, new brain-related diagnoses, new brain-related medications, sickness absence and income. For children, school absence days will be collected.
The investigators will identify the incidence of first seizure and new-onset epilepsy, and and which care pathways most patients with suspected first seizure go through. The investigators will study the role of early EEG to reduce diagnostic uncertainty, and compare conventional EEG interpretation with AI-assisted interpretation for diagnostic precision. The investigators will study the trajectory of anxiety, quality of life and complications with record linkage for epilepsy-relevant outcomes. A broad scope of complications will be studied, including job or school absence, driving license status, injuries in primary or secondary care, and new brain-related diagnoses. This study will gather important data to gauge potential gaps and improvements in care in early epilepsy, of relevance to patients in Bergen, Norway and the developed part of the world.
Particulary novel aspects are an evaluation of the SCORE AI model for EEG analysis, and linking to a spectrum of government databases on work participation, primary care and specialty care on complications of first seizure and/or early epilepsy.
Interested in participating?
Request InfoAll sexes
Observational
Bergen, 5021, Norway
Location status: Recruiting
Jan Brogger, MD PhD
CONTACT
Jan Brogger, MD PhD
PRINCIPAL_INVESTIGATOR
Tom Eichele, MD PhD
CONTACT
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
OR
-The patient has experienced the recurrence of events with a substantial suspicion of being an epileptic seizure, that have previously been evaluated by a neurologist or pediatrician to not be epileptic, and this merits a new evaluation.
Exclusion criteria
Time frame: 2 years
Based on the final two year status, or last-status carried forward, the incidence of first seizures and new-onset epilepsy will be calculated for adults and children.
Time frame: 2 years
The diagnostic yield of early vs late yield will be categorized as routine-EEG within 24 hours, or LTM-EEG within 1 week or later. The diagnostic yield will be computed as the percentage of patients with interictal epileptiform discharges or seizure during EEG for each category and time frame for EEG, and the same for final epilepsy diagnosis
Time frame: 2 years
We will compare the results of the current clinical standard of care, which is human expert EEG interpretation, with expert-assisted AI analysis using the SCORE AI model EEG software . We will compute sensitivity, specificity, accuracy for both diagnostic pipelines applied to all EEG to predict a future epilepsy diagnosis taken from medical records, as well as subtype of epilepsy (focal, idiopathic, unknown).
Time frame: 2 years
Among patients with new-onset epilepsy, the percentage suffering no new epileptic seizures will be measured.
Time frame: 2 years
Among patients with new-onset epilepsy, what percentage suffer from seizure-related trauma in the first and subsequent eventscompared to patients with first epileptic seizure without new-onset epilepsy and compared to patients with other event diagnosis in the same time period
Time frame: 2 years
Among patients with new-onset epilepsy, what percentage suffer from loss of driving license compared to patients with first epileptic seizure without new-onset epilepsy and compared to patients with other event diagnosis in the same time period
Time frame: 2 years
Among patients with new-onset epilepsy, what percentage suffer from loss of labor market participation compared to patients with first epileptic seizure without new-onset epilepsy and compared to patients with other event diagnosis in the same time period
Time frame: 2 years
Among patients with first seizure, and new-onset epilepsy, what percentage suffer from new-onset psychiatric diagnoses compared to patients with first epileptic seizure without new-onset epilepsy and compared to patients with other event diagnosis in the same time period
Time frame: 2 years
The time to review EEG will also be compared between expert vs expert-AI-assisted EEG analysis
Time frame: 2 years
Adults will be followed longitudinally with self-reported measures of quality of life (QOLIE31)
Time frame: 2 years
Adults will be followed longitudinally with self-reported anxiety (GAD7)
Time frame: 2 years
Adults will be followed longitudinally with self-reported coping (Brief COPE)
Time frame: 2 years
Children will be followed longitudinally with parent-reported quality of life (Kindl)
Time frame: 2 years
Among patients with first seizure, and new-onset epilepsy, what percentage suffer from mortality compared to patients with first epileptic seizure without new-onset epilepsy and compared to patients with other event diagnosis in the same time period
Time frame: 2 years
Among children with new-onset epilepsy, what percentage suffer from increased school absence days compared to children with first epileptic seizure without new-onset epilepsy and compared to children with other event diagnosis in the same time period
Contact information is provided by the study sponsor or research team.
Jan Brøgger, MD PhD
CONTACT
Tom Eichele, MD PhD
CONTACT
Haukeland University Hospital
Other
EPI-NY: Improving Diagnostics and Care After First Seizure
Acronym: EPI-NY
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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