Magnetic resonance imaging findings in Kenyans and South Africans with active convulsive epilepsy: An observational study

• Published in: Epilepsia (Copenhagen) Vol. 65; no. 1; pp. 165 - 176
• Main Authors: Kariuki, Symon M., Wagner, Ryan G., Gunny, Roxana, D'Arco, Felice, Kombe, Martha, Ngugi, Anthony K., White, Steven, Odhiambo, Rachael, Cross, J. Helen, Sander, Josemir W., Newton, Charles R. J. C.
• Format: Journal Article
• Language: English
• Published: United States Wiley Subscription Services, Inc 01.01.2024
• Subjects: Bayes Theorem; Bayesian analysis; brain abnormalities; Brain Diseases - complications; Convulsions & seizures; diagnosis; EEG; Epilepsy; Epilepsy - diagnostic imaging; Epilepsy - epidemiology; Epilepsy, Generalized - complications; Gliosis; Hippocampal Sclerosis; Humans; Kenya; Kenya - epidemiology; Magnetic Resonance Imaging; mesial temporal sclerosis; Neuroimaging; Observational studies; Perinatal exposure; Pilot Projects; Sclerosis; Seizures; South Africa; South Africa - epidemiology; Kenya; South Africa; South Africa; diagnosis; mesial temporal sclerosis; Kenya; brain abnormalities
• ISSN: 0013-9580; 1528-1167
• DOI: 10.1111/epi.17829

Objective Focal epilepsy is common in low‐ and middle‐income countries. The frequency and nature of possible underlying structural brain abnormalities have, however, not been fully assessed. Methods We evaluated the possible structural causes of epilepsy in 331 people with epilepsy (240 from Kenya and 91 from South Africa) identified from community surveys of active convulsive epilepsy. Magnetic resonance imaging (MRI) scans were acquired on 1.5‐Tesla scanners to determine the frequency and nature of any underlying lesions. We estimated the prevalence of these abnormalities using Bayesian priors (from an earlier pilot study) and observed data (from this study). We used a mixed‐effect modified Poisson regression approach with the site as a random effect to determine the clinical features associated with neuropathology. Results MRI abnormalities were found in 140 of 240 (modeled prevalence = 59%, 95% confidence interval [CI]: 53%–64%) of people with epilepsy in Kenya, and in 62 of 91 (modeled prevalence = 65%, 95% CI: 57%–73%) in South Africa, with a pooled modeled prevalence of 61% (95% CI: 56%–66%). Abnormalities were common in those with a history of adverse perinatal events (15/23 [65%, 95% CI: 43%–84%]), exposure to parasitic infections (83/120 [69%, 95% CI: 60%–77%]) and focal electroencephalographic features (97/142 [68%, 95% CI: 60%–76%]), but less frequent in individuals with generalized electroencephalographic features (44/99 [44%, 95% CI: 34%–55%]). Most abnormalities were potentially epileptogenic (167/202, 82%), of which mesial temporal sclerosis (43%) and gliosis (34%) were the most frequent. Abnormalities were associated with co‐occurrence of generalized non‐convulsive seizures (relative risk [RR] = 1.12, 95% CI: 1.04–1.25), lack of family history of seizures (RR = 0.91, 0.86–0.96), convulsive status epilepticus (RR = 1.14, 1.08–1.21), frequent seizures (RR = 1.12, 1.04–1.20), and reported use of anti‐seizure medication (RR = 1.22, 1.18–1.26). Significance MRI identified pathologies are common in people with epilepsy in Kenya and South Africa. Mesial temporal sclerosis, the most common abnormality, may be amenable to surgical correction. MRI may have a diagnostic value in rural Africa, but future longitudinal studies should examine the prognostic role.