The postictal electroencephalographic characteristics and prognosis of status epilepticus
10.3760/cma.j.cn371468-20250223-00071
- VernacularTitle:癫痫持续状态发作后脑电图特征及预后分析
- Author:
Honghua CHEN
1
;
Lingli JU
1
;
Yanyan JI
1
;
Yiyang XUE
1
;
Lihong TAO
1
Author Information
1. 扬州大学附属医院神经内科，扬州 225009
- Publication Type:Journal Article
- Keywords:
Status epilepticus;
Electroencephalogram;
Grand total electroencephalography score;
Prognosis
- From:
Chinese Journal of Behavioral Medicine and Brain Science
2025;34(11):990-996
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze postictal electroencephalographic(EEG) characteristics of patients with status epilepticus (SE) based on the score of grand total electroencephalography (GTE), and explore the relationship between electroencephalographic characteristics of SE and clinical prognosis.Methods:A total of 110 SE patients were enrolled in the Department of Neurology, the Affiliated Hospital of Yangzhou University from September 1, 2021 to September 1, 2023. EEG and GTE scores were performed in all patients after seizures (0-2 days after the cessation of SE). After one year of discharge, the medication and seizure status of patients were followed up by phone or outpatient visits. The seizure outcomes were recorded according to the international league against epilepsy (ILAE) seizure outcome classification, with favorable outcomes defined as good prognosis group ( n=54) and unfavorable outcomes defined as poor prognosis group ( n=56). SPSS 27.0 software was used for statistical analysis. Binary Logistic regression analysis was employed to screen impact variables of prognosis. The receiver operating characteristic(ROC) curve was plotted to determine the optimal cut-off point for predicting prognosis in epilepsy. Results:There were statistically significant differences in the total GTE score(2(1, 4), 8(5, 10); Z=-6.837, P<0.001), diffuse slow activity(0(0, 1), 2(0, 2); Z=-6.495, P<0.001), reactivity of the rhythmic background activity(0(0, 0), 0(0, 1); Z=-2.705, P=0.007), paroxysmal activity(0(0, 0), 1.5(0, 3.0); Z=-4.420, P<0.001), focal disturbances(0(0, 0), 0(0, 0); Z=-2.130, P=0.033), and sharp wave activity(0(0, 2), 2(2, 3); Z=-5.714, P<0.001)between the good prognosis group and poor prognosis group. The differences in EEG results among SE patients with different types of epileptic seizures were statistically significant in terms of frequency of rhythmic background activity, diffuse slow activity, reactivity of rhythmic background activity and total GTE score (all P<0.05). The differences in EEG results between SE patients with clear and unknown causes were statistically significant in terms of paroxysmal activity and focal disturbances(both P<0.05). The results of binary Logistic regression analysis showed that independent factors associated with the prognosis of SE included medication adherence ( B=-0.496, OR=0.609, 95% CI=0.395-0.940, P=0.025), diffuse slow activity( B=1.580, OR=4.854, 95% CI=1.586-14.855, P=0.006), sharp wave activity( B=0.824, OR=2.280, 95% CI=1.210-4.297, P=0.011), and total GTE score ( B=0.561, OR=1.753, 95% CI=1.360-2.259, P<0.001). In evaluating the prognosis of SE, the GTE score had a certain sensitivity (74.6%) and specificity (85.1%), with a optimal cut-off point of 6. Conclusions:The differences in EEG results among SE patients with different types of epileptic seizures were statistically significant in terms of frequency of rhythmic background activity, diffuse slow activity, reactivity of rhythmic background activity. The appearance of diffuse slow activity and sharp wave activity in the electroencephalogram of SE patients indicates poor prognosis, and the total GTE score≥6 may be a strong predictor of poor prognosis. However, good medication adherence is a protective factor for epilepsy recurrence.
