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The Value of Inter Ictal EEG in the Diagnosis of Epilepsy at the Clinical Neurophysiology Laboratory of FANN Teaching Hospital of Dakar

Received: 2 November 2020     Accepted: 17 November 2020     Published: 27 November 2020
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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 1st to November 15th 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.

Published in Clinical Neurology and Neuroscience (Volume 4, Issue 4)
DOI 10.11648/j.cnn.20200404.13
Page(s) 82-85
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Diagnosis, Epilepsy, Inter Ictal EEG, Pediatric Neurology

References
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[3] Mecarelli O. Past, Present and Future of the EEG. In: Clinical Electroencephalography [Internet]. 2019 [cited 2020 Feb 4]. p. 3–8. Available from: https://doi.org/10.1007/978-3-030-04573-9.
[4] Noachtar S, Rémi J. The role of EEG in epilepsy: A critical review. Epilepsy & Behavior. 2009; 15 (1): 22–33.
[5] Manfredonia F, Saturno E, Lawley A, Gasverde S, Cavanna AE. The role of electroencephalography in the early diagnosis of non-convulsive status epilepticus in elderly patients with acute confusional state: Two possible strategies? Seizure. 2019; 73: 39–42.
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[9] Nguefack S, Enyama D, Chiabi A, Sini V, Mah E, Bogne JB, et al. Anomalies de l’électro-encéphalogramme en neurologie pédiatrique: à propos de 500 enregistrements à l’Hôpital Gynéco-Obstétrique et Pédiatrique de Yaoundé (Cameroun). Pan African Medical Journal [Internet]. 2013 [cited 2020 Feb 2]; 15. Available from: http: //www.panafrican-med-journal.com/content/article/15/63/full/.
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[14] Ochoa-Gómez L, López-Pisón J, Lapresta Moros C, Fuertes Rodrigo C, Fernando Martínez R, Samper-Villagrasa P, et al. Estudio de las epilepsias según la edad de inicio, controladas durante 3 años en una unidad de neuropediatría de referencia regional. Anales de Pediatría. 2017; 86 (1): 11–9.
[15] Thijs RD, Surges R, O’Brien TJ, Sander JW. Epilepsy in adults. The Lancet. 2019 Feb; 393 (10172): 689–701.
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[17] Tekin Orgun L, Arhan E, Aydin K, Rzayeva T, Hirfanoglu T, Serdaroglu A. What has changed in the utility of pediatric EEG over the last decade? TURKISH JOURNAL OF MEDICAL SCIENCES [Internet]. 2018 [cited 2020 Mar 27]; 48 (4). Available from: http://online.journals.tubitak.gov.tr/openDoiPdf.htm?mKodu=sag-1712-188.
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    Michel-Arnaud Saphou Damon, Franck-Ladys Banzouzi, Anna Modji Basse, Hilaire Ewodo Touna, Marième-Soda Diop-Sene, et al. (2020). The Value of Inter Ictal EEG in the Diagnosis of Epilepsy at the Clinical Neurophysiology Laboratory of FANN Teaching Hospital of Dakar. Clinical Neurology and Neuroscience, 4(4), 82-85. https://doi.org/10.11648/j.cnn.20200404.13

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    ACS Style

    Michel-Arnaud Saphou Damon; Franck-Ladys Banzouzi; Anna Modji Basse; Hilaire Ewodo Touna; Marième-Soda Diop-Sene, et al. The Value of Inter Ictal EEG in the Diagnosis of Epilepsy at the Clinical Neurophysiology Laboratory of FANN Teaching Hospital of Dakar. Clin. Neurol. Neurosci. 2020, 4(4), 82-85. doi: 10.11648/j.cnn.20200404.13

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    AMA Style

    Michel-Arnaud Saphou Damon, Franck-Ladys Banzouzi, Anna Modji Basse, Hilaire Ewodo Touna, Marième-Soda Diop-Sene, et al. The Value of Inter Ictal EEG in the Diagnosis of Epilepsy at the Clinical Neurophysiology Laboratory of FANN Teaching Hospital of Dakar. Clin Neurol Neurosci. 2020;4(4):82-85. doi: 10.11648/j.cnn.20200404.13

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  • @article{10.11648/j.cnn.20200404.13,
      author = {Michel-Arnaud Saphou Damon and Franck-Ladys Banzouzi and Anna Modji Basse and Hilaire Ewodo Touna and Marième-Soda Diop-Sene and Fidélie Scholastique Ngoungoure Halima and Prisca-Rolande Bassole and Adjaratou Dieynabou Sow and Lala Bouna Seck},
      title = {The Value of Inter Ictal EEG in the Diagnosis of Epilepsy at the Clinical Neurophysiology Laboratory of FANN Teaching Hospital of Dakar},
      journal = {Clinical Neurology and Neuroscience},
      volume = {4},
      number = {4},
      pages = {82-85},
      doi = {10.11648/j.cnn.20200404.13},
      url = {https://doi.org/10.11648/j.cnn.20200404.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cnn.20200404.13},
      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 1st to November 15th 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.},
     year = {2020}
    }
    

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    T1  - The Value of Inter Ictal EEG in the Diagnosis of Epilepsy at the Clinical Neurophysiology Laboratory of FANN Teaching Hospital of Dakar
    AU  - Michel-Arnaud Saphou Damon
    AU  - Franck-Ladys Banzouzi
    AU  - Anna Modji Basse
    AU  - Hilaire Ewodo Touna
    AU  - Marième-Soda Diop-Sene
    AU  - Fidélie Scholastique Ngoungoure Halima
    AU  - Prisca-Rolande Bassole
    AU  - Adjaratou Dieynabou Sow
    AU  - Lala Bouna Seck
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    DO  - 10.11648/j.cnn.20200404.13
    T2  - Clinical Neurology and Neuroscience
    JF  - Clinical Neurology and Neuroscience
    JO  - Clinical Neurology and Neuroscience
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    EP  - 85
    PB  - Science Publishing Group
    SN  - 2578-8930
    UR  - https://doi.org/10.11648/j.cnn.20200404.13
    AB  - 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 1st to November 15th 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.
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Author Information
  • Neurological Clinic Ibrahima P. Ndiaye, Fann Hospital University – Cheikh Anta Diop University of Dakar (UCAD), Dakar, Senegal

  • Neurological Clinic Ibrahima P. Ndiaye, Fann Hospital University – Cheikh Anta Diop University of Dakar (UCAD), Dakar, Senegal

  • Neurological Clinic Ibrahima P. Ndiaye, Fann Hospital University – Cheikh Anta Diop University of Dakar (UCAD), Dakar, Senegal

  • Neurological Clinic Ibrahima P. Ndiaye, Fann Hospital University – Cheikh Anta Diop University of Dakar (UCAD), Dakar, Senegal

  • Neurological Clinic Ibrahima P. Ndiaye, Fann Hospital University – Cheikh Anta Diop University of Dakar (UCAD), Dakar, Senegal

  • Neurological Clinic Ibrahima P. Ndiaye, Fann Hospital University – Cheikh Anta Diop University of Dakar (UCAD), Dakar, Senegal

  • Department of Neurology, El Hadj Ibrahima Niasse Private University-College of Medicine Saint Christopher Ibar Mar DIOP, Dakar, Senegal

  • Neurological Clinic Ibrahima P. Ndiaye, Fann Hospital University – Cheikh Anta Diop University of Dakar (UCAD), Dakar, Senegal

  • Neurological Clinic Ibrahima P. Ndiaye, Fann Hospital University – Cheikh Anta Diop University of Dakar (UCAD), Dakar, Senegal

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