Circadian patterns of generalized tonic-clonic evolutions in pediatric epilepsy patients
Sriram Ramgopal1, Martina Vendrame, Aneri Shah
1Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Children's Hospital, Boston, MA, United States.
Insights
Generalized tonic-clonic seizures (GTC) in children are more likely to occur during sleep and in older individuals. Understanding these patterns can aid in predicting seizures and preventing complications like SUDEP.
Area of Science:
- Neurology
- Epilepsy Research
- Pediatric Neurology
Background:
- Generalized tonic-clonic seizures (GTC) are a significant concern in pediatric epilepsy.
- Understanding the temporal patterns of GTC evolution is crucial for effective management and prediction.
Purpose of the Study:
- To investigate the periodicity of GTC evolution in relation to sleep/wake states, time of day, and 24-hour cycles in pediatric patients.
- To identify predictors of GTC evolution in a pediatric epilepsy cohort.
Main Methods:
- Retrospective review of 407 pediatric epilepsy patients undergoing video-EEG monitoring.
- Analysis of seizure occurrence in 3-hour blocks, sleep/wake states, and day/night cycles.
- Statistical analysis including binomial testing and generalized estimating equations.
Main Results:
- GTC evolution occurred more frequently during sleep (p<0.001) and in older patients.
- Peak seizure activity was observed between 12-3 AM and 6-9 AM.
- Patients without MRI lesions showed a higher likelihood of GTC evolution during sleep and at night.
Conclusions:
- Sleep and older age are key predictors of GTC evolution in children.
- Findings can inform seizure prediction, personalized treatment strategies, and prevention of SUDEP (Sudden Unexpected Death in Epilepsy).
Objective:
To investigate the sleep/wake, day/night, and 24-h periodicity of pediatric evolution to generalized tonic-clonic seizures (GTC).
Methods:
Charts of 407 consecutive patients aged 0-21 years undergoing continuous video-EEG monitoring for epilepsy were reviewed for the presence of GTC evolution. Seizures were characterized according to 2001 ILAE terminology. Charts were reviewed for EEG seizure localization, MRI lesion, and for seizure occurrence in 3-h time blocks, out of sleep or wakefulness, and during the day (6 AM-6 PM) or night. Analysis was done with binomial testing. Regression models were fitted using generalized estimating equations with patients as the cluster level variable.
Results:
71 patients (32 girls, mean age 12.63 ± 5.3 years) had 223 seizures with GTC evolution. Sleep/wake seizure distribution predicted tonic-clonic evolution better than time of day, with more occurring during sleep (p<0.001). Tonic-clonic evolution occurred most frequently between 12-3 AM and 6-9 AM (p<0.05). Patients with generalized EEG onset had more tonic-clonic evolution between 9 AM and 12 PM (p<0.05). Patients with extratemporal focal seizures were more likely to evolve during sleep (p<0.001); this pattern was not found in patients with temporal or generalized seizure onset on EEG. Patients without MRI lesions were more likely to evolve between 12 AM and 3 AM (p<0.05), in the sleeping state (p<0.001), and at night (p<0.05). Logistic regression revealed that sleep and older patient age were the most important predictors of GTC evolution.
Conclusion:
GTC evolution occurs most frequently out of sleep and in older patients. Our results may assist in seizure prediction, individualized treatment patterns, and potentially complication and SUDEP prevention.
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