Development and validation of a predictive model assessing the risk of seizure recurrence in children with neurocysticercosis.
Epilepsy
Inflammatory granuloma
Neurocysticercosis
Neuroinfection
Predictive model
Recurrence
Journal
Epilepsy research
ISSN: 1872-6844
Titre abrégé: Epilepsy Res
Pays: Netherlands
ID NLM: 8703089
Informations de publication
Date de publication:
11 2023
11 2023
Historique:
received:
02
07
2023
revised:
03
10
2023
accepted:
08
10
2023
medline:
3
11
2023
pubmed:
21
10
2023
entrez:
20
10
2023
Statut:
ppublish
Résumé
Neurocysticercosis (NCC) is a significant factor contributing to the incidence of seizures in developing countries. While numerous studies have investigated the recurrence of seizures in NCC, their reliability is often limited. We assessed the socio-demographic, clinical, and neuroimaging details of 161 children with seizures caused by NCC. We monitored them for seizure recurrence over a 6-month follow-up period. We divided the children into two groups: those with seizure recurrence and those without. Subsequently, we identified predictive factors associated with seizure recurrence through univariate analysis, followed by multivariate binary logistic regression. We evaluated the prognostic model for discrimination and calibration and then internally validated it using the bootstrap method. A total of 23 children experienced breakthrough seizures. In multivariate analysis, the presence of epileptiform abnormalities in electroencephalogram (EEG), more than 5 NCC lesions, the presence of perilesional edema greater than 2 cm in maximum dimension, and a cluster of seizures before presentation were significantly associated with seizure recurrence (p < 0.05). These factors were included in the final NEPC (Number of NCC lesions, Epileptiform EEG abnormality, Perilesional edema, and Cluster of seizures) score. The final model exhibited good discrimination (AUC = 89.1 %; 95 % CI=80.5-95.3 %, p < 0.001) and calibration (p = 0.54). A score of 4 appeared to be the optimal threshold for discriminating between individuals with and without seizure recurrence, with sensitivity and specificity values of 85 % and 87 %, respectively. Interrater reliability was very strong between two pediatric neurologists and strong between a pediatric neurologist and a pediatric neurology trainee resident (k = 0.92 and 0.86, respectively). The NEPC score demonstrates good sensitivity and specificity in predicting seizure recurrence in pediatric children with NCC.
Identifiants
pubmed: 37862917
pii: S0920-1211(23)00164-X
doi: 10.1016/j.eplepsyres.2023.107239
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
107239Informations de copyright
Copyright © 2023 Elsevier B.V. All rights reserved.