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Electroencephalographic features of convulsive epilepsy in Africa: A multicentre study of prevalence, pattern and associated factors

OBJECTIVE: We investigated the prevalence and pattern of electroencephalographic (EEG) features of epilepsy and the associated factors in Africans with active convulsive epilepsy (ACE). METHODS: We characterized electroencephalographic features and determined associated factors in a sample of people...

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Detalles Bibliográficos
Autores principales: Kariuki, Symon M., White, Steven, Chengo, Eddie, Wagner, Ryan G., Ae-Ngibise, Kenneth A., Kakooza-Mwesige, Angelina, Masanja, Honorati, Ngugi, Anthony K., Sander, Josemir W., Neville, Brian G., Newton, Charles R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4725253/
https://www.ncbi.nlm.nih.gov/pubmed/26337840
http://dx.doi.org/10.1016/j.clinph.2015.07.033
Descripción
Sumario:OBJECTIVE: We investigated the prevalence and pattern of electroencephalographic (EEG) features of epilepsy and the associated factors in Africans with active convulsive epilepsy (ACE). METHODS: We characterized electroencephalographic features and determined associated factors in a sample of people with ACE in five African sites. Mixed-effects modified Poisson regression model was used to determine factors associated with abnormal EEGs. RESULTS: Recordings were performed on 1426 people of whom 751 (53%) had abnormal EEGs, being an adjusted prevalence of 2.7 (95% confidence interval (95% CI), 2.5–2.9) per 1000. 52% of the abnormal EEG had focal features (75% with temporal lobe involvement). The frequency and pattern of changes differed with site. Abnormal EEGs were associated with adverse perinatal events (risk ratio (RR) = 1.19 (95% CI, 1.07–1.33)), cognitive impairments (RR = 1.50 (95% CI, 1.30–1.73)), use of anti-epileptic drugs (RR = 1.25 (95% CI, 1.05–1.49)), focal seizures (RR = 1.09 (95% CI, 1.00–1.19)) and seizure frequency (RR = 1.18 (95% CI, 1.10–1.26) for daily seizures; RR = 1.22 (95% CI, 1.10–1.35) for weekly seizures and RR = 1.15 (95% CI, 1.03–1.28) for monthly seizures)). CONCLUSIONS: EEG abnormalities are common in Africans with epilepsy and are associated with preventable risk factors. SIGNIFICANCE: EEG is helpful in identifying focal epilepsy in Africa, where timing of focal aetiologies is problematic and there is a lack of neuroimaging services.