Validation Study of the Simplified Seizure Classification Algorithm
| Status: | Recruiting |
|---|---|
| Conditions: | Neurology, Epilepsy |
| Therapuetic Areas: | Neurology, Other |
| Healthy: | No |
| Age Range: | 10 - 120 |
| Updated: | 1/10/2019 |
| Start Date: | April 2, 2018 |
| End Date: | February 28, 2019 |
| Contact: | Sandor Beniczky, MD, PhD |
| Email: | sbz@filadelfia.dk |
| Phone: | +4526981536 |
Clinical Validation Study of the Simplified Seizure Classification Algorithm
An algorithm has been developed for simplified classification of epileptic seizures, in order
to optimize choice of antiepileptic drugs.
The objective of this study was to clinically validate the algorithm.
to optimize choice of antiepileptic drugs.
The objective of this study was to clinically validate the algorithm.
Optimal choice of antiepileptic drugs (AEDs) depend on the patients´ seizure-types. Over the
last four decades, several classification systems have been proposed for epileptic seizures.
The recent position paper of the International League Against Epilepsy defines 63
seizure-types. While this complex system might be useful for detailed phenotyping, currently
there is no evidence that each of these seizure-types needs different clinical management
strategy, and many clinicians find it difficult to implement.
To help physicians with optimizing the choice of AEDs, the investigators developed a
simplified seizure classification, consisting of the minimal number of seizure-types,
necessary for choice of AEDs, and the investigators developed an algorithm that identifies
the patient´s seizure-type, based on a set of 10 simple questions, that can be answered by
physicians even without extensive training in epilepsy. The current form of the algorithm was
developed for patients whose seizures started in adolescence or adulthood (at the age of 10
years or older).
In this study, the investigators aim to validate the diagnostic algorithm, by comparing the
seizure-type identified by the algorithm with the diagnosis and seizure-type as defined by
trained experts, in the clinical workup of the patients.
last four decades, several classification systems have been proposed for epileptic seizures.
The recent position paper of the International League Against Epilepsy defines 63
seizure-types. While this complex system might be useful for detailed phenotyping, currently
there is no evidence that each of these seizure-types needs different clinical management
strategy, and many clinicians find it difficult to implement.
To help physicians with optimizing the choice of AEDs, the investigators developed a
simplified seizure classification, consisting of the minimal number of seizure-types,
necessary for choice of AEDs, and the investigators developed an algorithm that identifies
the patient´s seizure-type, based on a set of 10 simple questions, that can be answered by
physicians even without extensive training in epilepsy. The current form of the algorithm was
developed for patients whose seizures started in adolescence or adulthood (at the age of 10
years or older).
In this study, the investigators aim to validate the diagnostic algorithm, by comparing the
seizure-type identified by the algorithm with the diagnosis and seizure-type as defined by
trained experts, in the clinical workup of the patients.
Inclusion Criteria:
- patients referred to the participating centers on suspicion of epilepsy
Exclusion Criteria:
We found this trial at
2
sites
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