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Published on: September 20, 2024
Risk factors for secondary epilepsy in children with complex febrile seizures and their effect on growth and
Meihua Duan1, Yaoqi Liao1, Huifang Guo1
1Department of Pediatric Neurology, Ganzhou Women and Children's Health Care Hospital, Ganzhou, China.
Insights
Complex febrile seizures can lead to secondary epilepsy in children. Risk factors include family history, seizure type, number, and duration. Early intervention may improve developmental outcomes.
Area of Science:
- Pediatric Neurology
- Epileptology
- Developmental Pediatrics
Background:
- Complex febrile seizures are prolonged seizures in children that can lead to neurological abnormalities, secondary epilepsy, and impaired growth and development.
- The precise mechanisms underlying secondary epilepsy development following complex febrile seizures remain unclear.
- This study investigates risk factors for secondary epilepsy in children with complex febrile seizures and its impact on their growth and development.
Purpose of the Study:
- To identify independent risk factors for the development of secondary epilepsy in children experiencing complex febrile seizures.
- To analyze the effects of secondary epilepsy on the physical growth and neurodevelopment of affected children.
- To develop and validate a predictive model for identifying children at high risk of secondary epilepsy.
Main Methods:
- Retrospective analysis of 168 children with complex febrile seizures, divided into secondary epilepsy (n=58) and control (n=110) groups.
- Logistic regression analysis to determine independent risk factors for secondary epilepsy.
- Development and validation of a nomogram prediction model using R statistical software.
- Assessment of developmental outcomes using the Gesell Development Scale.
Main Results:
- Independent risk factors for secondary epilepsy included a family history of epilepsy, generalized seizures, increased seizure frequency, and prolonged seizure duration (P<0.05).
- The nomogram prediction model demonstrated good predictive accuracy, with areas under the ROC curve of 0.845 (training set) and 0.813 (validation set).
- Children with secondary epilepsy showed significantly lower Gesell Development Scale scores compared to controls (77.84±8.86 vs. 85.64±8.65, P<0.001).
Conclusions:
- A nomogram-based prediction model effectively identifies children with complex febrile seizures at high risk for developing secondary epilepsy.
- Targeted interventions for high-risk children may mitigate the adverse effects of secondary epilepsy on growth and development.
- Further research is warranted to elucidate the pathophysiology and optimize management strategies.
Background:
Complex febrile seizures are prolonged and can cause neurologic abnormalities, leading to secondary epilepsy and affecting growth and development. At present, the mechanism of secondary epilepsy in children with complex febrile seizures is not clear, and this study aimed to explore the risk factors for secondary epilepsy in children with complex febrile seizures and analyze its effects on the growth and development of children.
Methods:
The data of 168 children with complex febrile seizures admitted to the Ganzhou Women and Children's Health Care Hospital between January 2018 and December 2019 were collected retrospectively and divided into a secondary epilepsy group (n=58) and control group (n=110) according to whether the children had secondary epilepsy or not. The differences in clinical features between the 2 groups were compared, and logistic regression analysis was used to explore the risk factors for secondary epilepsy in children with complex febrile seizures. A nomogram prediction model for secondary epilepsy in children with complex febrile seizures was established and verified using the R 4.0.3 statistical software, and the effect of secondary epilepsy on the growth and development of children was analyzed.
Results:
Multivariate logistic regression analysis showed that family history of epilepsy, generalized seizures, number of seizures, and duration of seizures were independent influencing factors of secondary epilepsy in children with complex febrile seizures (P<0.05). The dataset was randomly divided into a training set and a validation set, with a sample size of 84 in the training set and 84 in the validation set. The area under the receiver operating characteristic (ROC) curve of the training set was 0.845 (95% confidence interval: 0.756-0.934), and the area under the ROC curve of the validation set was 0.813 (95% confidence interval: 0.711-0.914). Compared with the control group, the Gesell Development Scale score in the secondary epilepsy group was significantly reduced (77.84±8.86 vs. 85.64±8.65, P<0.001).
Conclusions:
The nomogram prediction model could better identify complex febrile seizures children at high risk of secondary epilepsy. Strengthening intervention in such children may be beneficial for improving their growth and development.
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