Application of 24 h Dynamic EEG Examination in Epilepsy Patients
XU Qi-feng1 LIU Hua-qin2 TAN Hong-yu3
1. Department of Neurology, the First Affiliated Hospital of Guangzhou Medical University, Guangdong Province,Guangzhou 510120, China;
2. Department of Emergency, the First Affiliated Hospital of Guangzhou Medical University, Guangdong Province, Guangzhou 510120, China
Abstract：Objective To explore the application of 24 h dynamic electroencephalogram examination in epileptic patients. Methods Retrospective analysis of clinical data of 70 patients with epilepsy (Epilepsy group) treated in our hospital from January 2014 to December 2018, a 24 hour ambulatory electroencephalogram (AEEG) examination and a conventional electroencephalogram (REEG) examination were performed respectively. At the same time, 70 non-epileptic patients were used as a control group. The results of REEG and AEEG were compared, and the AEEG results were compared between the epilepsy patients and the control group. Results The normal rate of AEEG examination was lower than that of REEG examination, and the epileptiform discharge rate and total REEG abnormality rate were higher than those of REEG examination, and the differences were statistically significant (P＜0.05); there was no statistically significant difference in the non-specific discharge rate between AEEG and REEG examination (P＞0.05). The normal rate of epilepsy group examined by AEEG was lower than that of the control group, and the epileptiform discharge rate and total abnormal rate were higher than those of the control group, the differences were statistically significant (P＜0.05); there was no statistically significant difference in the non-specific discharge rate between the control group and the epilepsy group (P＞0.05). Among all the 70 patients, a total of 39 cases (55.71%) of epileptic discharge were detected, among them, 4 cases (5.71%) appeared alone when awake, 11 cases (15.71%) appeared alone during sleep, and 24 cases (34.29%) appeared during both wakefulness and sleep, epileptic discharge rate was lower in awake than in sleep(P＜0.05). Conclusion AEEG has a better effect in dynamic monitoring and diagnosis of epilepsy patients. It can record the changes of eeg in patients under different states, which is helpful to improve the clinical diagnosis rate and reduce the rate of missed diagnosis. It is also convenient to carry and non-invasive, and has positive clinical significance.
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