LIU Rong 1, ZHU Ming-Xia 2, LI Wei 2, et al. Diagnostic value analysis of Video-EEG monitoring in epilepsy. [J]. Journal of Chongqing Medical University 36(8):991-993(2011)
LIU Rong 1, ZHU Ming-Xia 2, LI Wei 2, et al. Diagnostic value analysis of Video-EEG monitoring in epilepsy. [J]. Journal of Chongqing Medical University 36(8):991-993(2011) DOI: 10.13406/j.cnki.cyxb.2011.08.034.
Diagnostic value analysis of Video-EEG monitoring in epilepsy
Objective:To evaluate the diagnostic value of Video-EEG monitoring in epilepsy by analyzing and studying the manifestations of the disease.Methods:Video-EEG monitoring was performed continuously 2
6
12 h and 24 h in 248 patients with paroxysmal events who were accepted between June 2008 and November 2010.The relationship between seizures and abnormal discharge
the phases when abnormal discharge appeared and the relationship between epilepsy classification and abnormal discharge were analyzed.EEG changes before seizures and different EEG findings in both ictal and interictal periods
the relationship between EEG monitoring time-history and clinical attack rate and the abnormal discharge rate were also observed.Results:The characteristic events were captured in 145 of the 248 patients.Out of the 145 patients
113 had clinical events accompanied with epileptiform discharge and were diagnosed as epilepsy
18 as non-epilepsy patients
and 14 had no diagnosis results.Among the 178 patients with abnormal discharge
14 cases appeared in sober period
55 cases appeared in sleep period
and 76 cases appeared in both sober period and sleep period.The 113 patients diagnosed as epilepsy had anomalous changes before seizure.There were different clinical attack rates in monitoring time-histories between 2 h and 6 h
6 h and 12 h
and no differences between 6 h and 24 h.No different abnormal discharge rate was detected among the time-histo ries.Conclusion:Video-EEG can help to improve detection rate of abnormal discharge and epilepsy seizures
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