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03 May 2016 : Clinical Research  

Long-Term Clinical and Electroencephalography (EEG) Consequences of Idiopathic Partial Epilepsies

Nimet DörtcanABCDEF, Betul Tekin GuveliABCD, Aysin DerventABD

DOI: 10.12659/MSM.898626

Med Sci Monit 2016; 22:1480-1485

Abstract

BACKGROUND: Idiopathic partial epilepsies of childhood (IPE) affect a considerable proportion of children. Three main electroclinical syndromes of IPE are the Benign Childhood Epilepsy with Centro-temporal Spikes (BECTS), Panayiotopoulos Syndrome (PS), and Childhood Epilepsy with Occipital Paroxysms (CEOP). In this study we investigated the long-term prognosis of patients with IPE and discussed the semiological and electroencephalography (EEG) data in terms of syndromic characteristics.

MATERIAL AND METHODS: This study included a group of consecutive patients with IPE who had been followed since 1990. Demographic and clinical variables were investigated. Patients were divided into 3 groups – A: Cases suitable for a single IPE (BECTS, PS and CEOP); B: cases with intermediate characteristics within IPEs; and C: cases with both IPE and IGE characteristics. Long-term data regarding the individual seizure types and EEG findings were re-evaluated.

RESULTS: A total of 61 patients were included in the study. Mean follow-up duration was 7.8±4.50 years. The mean age at onset of seizures was 7.7 years. There were 40 patients in group A 40, 14 in group B, and 7 in group C. Seizure and EEG characteristics were also explored independently from the syndromic approach. Incidence of autonomic seizures is considerably high at 2–5 years and incidence of oromotor seizures is high at age 9–11 years. The EEG is most abnormal at 6–8 years. The vast majority (86%) of epileptic activity (EA) with parietooccipital is present at 2–5 years, whereas EA with fronto-temporal or multiple sites become more abundant between ages 6 and 11.

CONCLUSIONS: Results of the present study provide support for the age-related characteristics of the seizures and EEGs in IPE syndromes. Acknowledgement of those phenomena may improve the management of IPEs and give a better estimate of the future consequences.

Keywords: Child, Adolescent, Child, Preschool, Demography, Electroencephalography - methods, Epilepsy, Rolandic - diagnosis, Time Factors

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750