• Department of Pediatric Neurology, the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China;
JIA Tianming, Email: jtm226@sina.com
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Objective To analyze the risk factors for electrical status epilepticus during sleep (ESES) in patients with self-limited epilepsy with centrotemporal spikes (SeLECTs) and to construct a nomogram model. Methods This study selected 174 children with SeLECTs who visited the Third Affiliated Hospital of Zhengzhou University from March 2017 to March 2024 and had complete case data as the research subjects. According to the results of video electroencephalogram monitoring during the course of the disease, the children were divided into non-ESES group (88 cases) and ESES group (86 cases). Multivariate logistic regression analysis was used to identify the risk factors for the occurrence of ESES in SeLECTs patients. Results The multifactor Logistic regression analysis demonstrated that the EEG discharges in bilateral cerebral areas,types of seizure, epileptic seizures after initial treatment were the independent risk factors for the occurrence of ESES in SeLECTs. Conclusion Bilateral distribution of electroencephalogram discharges before treatment, emergence of new seizure forms, and epileptic seizures after initial treatment are risk factors for the ESES in SeLECTs patients. The nomogram model constructed based on the above risk factors has a high degree of accuracy.

Citation: LU Xiaoqing, GAN Ling, GUO Qiliang, ZHANG Xiaoli, LI Xiaoli, GUAN Jing, LIAN Zishuo, WANG Haiyan, ZHANG Ya, LI Lin, JIA Tianming. Risk factors analysis and prediction model construction of self-limited epilepsy with centrotemporal spikes compilcated by electrical status epilepticus during sleep. Journal of Epilepsy, 2025, 11(2): 121-126. doi: 10.7507/2096-0247.202412005 Copy

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