| Long-term Clinical Course and Electroencephalographic Analysis in Children with Benign Childhood Epilepsy with Centrotemporal Spikes. |
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Sang Hoon Lee, In Ji Hwang, Hyun Ok Lee, Ha Yeong Choe, Young Jong Woo |
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Department of Pediatrics, Chonnam National University Hospital, Gwangju, Korea. yjwoo@jnu.ac.kr |
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| Abstract |
PURPOSE
Benign childhood epilepsy with centrotemporal spikes (BECTS) is one of the most common and benign focal epilepsy syndromes during childhood. In this study, we analyzed the clinical features and electroencephalogram (EEG) of BECT patients to determine if there were any predictive factors for seizures or abnormal EEG findings lasting longer than the average. METHODS: We studied 49 patients who were diagnosed with BECTS at the Department of Pediatrics, Chonnam National University Hospital and were 18 years of age or older at the time of the study. Differences in clinical course according to EEG features, treatment duration, abnormal EEG duration, seizure development period, and time to achieving the first normal EEG were analyzed. RESULTS: Average onset age was 8.3±1.9 years and follow-up duration was 4.2±2.4 years. The average seizure-free age was 9.5±2.0 years, and abnormal EEG-free age was 11.6±2.1 years. Younger-onset patients had a longer duration of medication (P=0.04). Patients who needed shorter time to achieving the first normal EEG had a shorter seizure development period (P=0.02). Patients who did not show typical EEG findings consistent with BECTS had a significantly longer duration of medication (P<0.01) and seizure development period (P=0.02), and abnormal EEG duration (P= 0.01). The ratio of abnormal findings in the first three EEGs was significantly correlated with the seizure development period, abnormal EEG duration, and duration of medication (P<0.01). CONCLUSION: Although BECTS is known to take a benign course, the actual clinical course varied from patient to patient, and these variations may be predicted by analyzing clinical factors or EEGs. |
| Key Words:
BECTS, Electroencephalography, Prognostic factors |
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