Abstract：【Objective】 To explore the predictive value of seizure duration, cognitive impairment and electroencephalogram (EGG) grading for the prognosis of patients with non-convulsive status epilepticus (NCSE). 【Methods】 Clinical data of 100 patients with NCSE were collected. A multidimensional prognostic evaluation system was established using the modified Rankin Scale (mRS) combined with the Mini-Mental State Examination (MMSE). Patients were divided into a poor prognosis group (n=37) and a good prognosis group (n=63). Clinical characteristics and EEG features of the two groups were compared. Univariate analysis was performed to screen factors related to prognosis, and multivariate Logistic regression analysis was used to identify independent risk factors affecting prognosis. The predictive performance of the regression model for patient prognosis was evaluated using the receiver operating characteristic (ROC) curve. 【Results】 The proportions of disturbance of consciousness, seizure duration ≥1 h, and EEG grades 3-6 in the poor prognosis group were significantly higher than those in the good prognosis group (P<0.05), while the proportion of generalized seizures was lower than that in the good prognosis group (P<0.05). Multivariate Logistic regression analysis showed that disturbance of consciousness, seizure duration, and EEG grading were independent risk factors for poor prognosis in NCSE patients (P<0.05), whereas generalized seizures served as a protective factor (P<0.05). The area under the curve (AUC) of the regression model was 0.929, with a sensitivity of 82.4% and a specificity of 90.4%. 【Conclusion】 Disturbance of consciousness, seizure duration, EEG grading, and generalized seizures are closely associated with the prognosis of NCSE patients. The regression model shows high predictive efficiency and is of significant value for guiding clinical treatment.
李海静, 丁莹, 杜祥璟. 发作持续时间、认知功能及脑电图分级对NCSE患者预后的预测价值*[J]. 医学临床研究, 2026, 43(4): 529-531.
LI Haijing, DING Ying, DU Xiangjing. Predictive Value of Seizure Duration, Cognitive Impairment and Electroencephalogram Grading for Prognosis in Patients with NCSE. JOURNAL OF CLINICAL RESEARCH, 2026, 43(4): 529-531.
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2026, Vol. 43 
