Early clinical predictors of intractable epilepsy in childhood
Semra Saygi1, İlknur Erol, Füsun Alehan
1Department of Pediatrics, Başkent University, Ankara, Turkey. semra_saygi@yahoo.com
Insights
Identifying intractable epilepsy in children is possible early on. High daily seizure frequency and remote symptomatic causes are key predictors, guiding better treatment strategies.
Area of Science:
- Pediatric Neurology
- Epileptology
Background:
- Antiepileptic drug (AED) therapy is a cornerstone in managing pediatric epilepsy.
- Intractable epilepsy poses significant challenges in treatment and patient management.
Purpose of the Study:
- To evaluate clinical responses to AED therapy in pediatric epilepsy patients.
- To identify risk factors associated with the development of intractable epilepsy in children.
Main Methods:
- Retrospective study analyzing data from a single treatment center.
- Inclusion of 28 children with intractable epilepsy and 213 with drug-responsive epilepsy.
- Univariate and multivariate logistic regression analyses were performed.
Main Results:
- Significant risk factors for intractable epilepsy included age at onset, high daily seizure frequency, infantile spasms, neonatal seizures, abnormal neurodevelopment, neurological abnormalities, mental retardation, remote symptomatic etiology, and abnormal brain imaging.
- High daily initial seizure frequency and remote symptomatic etiology were identified as independent predictors of intractable epilepsy.
Conclusions:
- The early clinical course of childhood epilepsy can help predict the risk of developing intractable forms.
- Early identification of high-risk patients can optimize therapeutic interventions and minimize ineffective treatments.
Aim:
In this retrospective study, we evaluated the clinical responses to antiepileptic drug (AED) therapy in pediatric epilepsy patients treated at a single center.
Materials And Methods:
We identified 28 children with intractable epilepsy and 213 patients with drug-responsive epilepsy.
Results:
Univariate analysis showed that age at onset, high (daily) initial seizure frequency, infantile spasm, history of neonatal seizures, abnormal neurodevelopmental status, neurological abnormalities, mental retardation, remote symptomatic etiology, and abnormal brain imaging results were significant risk factors for the development of intractable epilepsy (P < 0.05). Multivariate logistic regression analysis revealed that high (daily) initial seizure frequency and remote symptomatic etiology were significant and independent risk factors for intractable epilepsy (P < 0.05).
Conclusion:
Our study suggests that the risk of developing intractable epilepsy in childhood may be predicted, to some extent, by the early clinical course. Early identification of patients at high risk of developing intractable epilepsy will guide appropriate therapy and reduce exposure to ineffectual treatments.
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