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- W3122555012 abstract "Introduction: The diagnosis of epilepsy is mainly based on clinical features. Electroencephalography (EEG) is mainly essential on classifying epilepsy and epileptic syndromes. Our purpose is to demonstrate EEG has a role in setting the diagnosis of epilepsy. Method: We have studied the EEG of 775 patients of all age-groups registered in the EEGs laboratory of Fann Teaching hospital from July 1<sup>st</sup> to November 15<sup>th</sup> 2018. We included all patients not previously known with epilepsy. The EEGs conclusion were taken from the digital database. We have split them into two groups EEG abnormal versus EEG normal. The statistical analyzes were made by Epi Info 7.2.3.1. Results: The median age was 14 years old. The patient age range was from 38 days to 86 years. Patients with abnormal EEG were at 38% of the total. After univariate study were significantly associated with an abnormal EEG patients who came for focal onset crisis (74%) and those who came for spasm (84%). All with status epilepticus had abnormal EEG. Patients with generalized crises had an abnormal EEG in 60% but that was not significant. Diagnosis seek by pediatrician was significantly associated abnormal EEG. Conclusion: EEG is a very affordable test which plays a key role on the diagnosis of epilepsy. It sensitivity is closely linked with the experience of the ordering physician. Broad awareness of epilepsy among healthcare professionals and the community would be an important step in improving patient’s management." @default.
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- W3122555012 date "2020-01-01" @default.
- W3122555012 modified "2023-09-25" @default.
- W3122555012 title "The Value of Inter Ictal EEG in the Diagnosis of Epilepsy at the Clinical Neurophysiology Laboratory of FANN Teaching Hospital of Dakar" @default.
- W3122555012 doi "https://doi.org/10.11648/j.cnn.20200404.13" @default.
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