Risk factors analysis and prediction model construction of self-limited epilepsy with centrotemporal spikes compilcated by electrical status epilepticus during sleep_Journal of Epilepsy

Authors：

LU Xiaoqing , GAN Ling , GUO Qiliang , ZHANG Xiaoli , LI Xiaoli , GUAN Jing , LIAN Zishuo , WANG Haiyan , ZHANG Ya , LI Lin ,  JIA Tianming

Department of Pediatric Neurology, the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China;

Corresponding author：

JIA Tianming, Email: jtm226@sina.com

Keywords：

Self-limited epilepsy with centrotemporal spikes; Electrical status epilepticus during sleep; Risk factors; Nomogram; Predictive model

DOI：

10.7507/2096-0247.202412005

Video：

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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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11.	王健, 刘灿, 李秋波. 儿童良性癫痫伴中央颞区棘波的演化机制研究进展. 临床神经病学杂志, 2022, 35(3): 35.
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13.	Kim H, Kim S Y, Lim B C, et al. Spike persistence and normalization in benign epilepsy with centrotemporal spikes–Implications for management. Brain Dev, 2018, 40(8): 693-698.
14.	Wang X, Zhang Y, Sun R, et al. Risk factors of electrical status epilepticus during sleep in children with benign childhood epilepsy with centro-temporal spikes. Pak J Med Sci, 2024, 40(4): 612.
15.	Nicolai J, Aldenkamp AP, Arends J, et al. Cognitive and behavioral effects of nocturnal epileptiform discharges in children with benign childhood epilepsy with centrotemporal spikes. Epilepsy Behav, 2006, 8(1): 56-70.
16.	Lee YJ, Hwang SK, Kwon S. The Clinical Spectrum of Benign Epilepsy with Centro-Temporal Spikes: a Challenge in Categorization and Predictability. J Epilepsy Res, 2017, 7(1): 1-6.
17.	Kanemura H, Sano F, Aoyagi K, et al. Do sequential EEG changes predict atypical clinical features in rolandic epilepsy? Dev Med Child Neurol, 2012, 54(10): 912-917.
18.	Smith AB, Bajomo O, Pal DK. A meta-analysis of literacy and language in children with rolandic epilepsy. Dev Med Child Neurol, 2015, 57(11): 1019-1026.
19.	Licchetta L, Vignatelli L, Zenesini C, et al. Sleep-related hypermotor epilepsy: a prediction cohort study on sleep/awake patterns of seizures. Epilepsia, 2019, 60(11): e115-e120.
20.	Lindgren S, Kihlgren M, Melin L, et al. Development of cognitive functions in children with rolandic epilepsy. Epilepsy Behav, 2004, 5(6): 903-910.
21.	Kramer U, Sagi L, Goldberg-Stern H, et al. Clinical spectrum and medical treatment of children with electrical status epilepticus in sleep (ESES). Epilepsia, 2009, 50(6): 1517-1524.
22.	Kobayashi K, Yoshinaga H, Toda Y, et al. High-frequency oscillations in idiopathic partial epilepsy of childhood. Epilepsia, 2011, 52(10): 1812-1819.
23.	He W, Liu H, Liu Z, et al. Electrical status epilepticus in sleep affects intrinsically connected networks in patients with benign childhood epilepsy with centrotemporal spikes. Epilepsy Behav, 2020, 106(1): 107032.
24.	Huang X, Zhang X, Wang X, et al. A nomogram to predict symptomatic epilepsy in patients with radiation-induced brain necrosis. Neurology, 2020, 95(10): e1392-e1403.

1. Specchio N, Wirrell EC, Scheffer IE, et al. International League Against Epilepsy classification and definition of epilepsy syndromes with onset in childhood: Position paper by the ILAE Task Force on Nosology and Definitions. Epilepsia, 2022, 63(6): 1398-1442.
2. 杨志仙, 钱萍. 睡眠中癫痫性电持续状态的研究进展. 中华实用儿科临床杂志, 2017, 32(12): 6.
3. Guerrini R. Epilepsy in children. Lancet, 2006, 367(9509): 499-524.
4. Liu MJ, Su XJ, Md XS, et al. Clinical features of benign epilepsy of childhood with centrotemporal spikes in Chinese children. Medicine (Baltimore), 2017, 96(4): e5623.
5. Doumlele K, Friedman D, Buchhalter J, et al. Sudden unexpected death in epilepsy among patients with benign childhood epilepsy with centrotemporal spikes. JAMA Neurol, 2017, 74(6): 645-649.
6. Rubboli G, Gardella E, Cantalupo G, et al. Encephalopathy related to status epilepticus during slow sleep (ESES): Pathophysiological insights and nosological considerations. Epilepsy Behav, 2023, 140: 109105.
7. 李晓, 蒋莉. Rolandic癫痫的遗传病学研究进展. 中华实用儿科临床杂志, 2020, 35(4): 314-317.
8. 唐兰芳, 胡越. 激素联合抗癫痫药物治疗儿童睡眠中癫痫性电持续状态有效性和安全性的Meta分析. 癫痫杂志, 2021, 7(3): 197-207.
9. 束明珠, 石褀, 王小姗. 儿童良性癫痫伴中央颞区棘波的研究进展. 癫痫杂志, 2021, 7(4): 335-339.
10. 毛云青, 刘龙芳, 杨萍萍. 伴中央颞区棘波的自限性癫痫脑电图特征及睡眠中癫痫电持续状态危险因素分析. 罕少疾病杂志, 2023, 30(12): 13-14.
11. 王健, 刘灿, 李秋波. 儿童良性癫痫伴中央颞区棘波的演化机制研究进展. 临床神经病学杂志, 2022, 35(3): 35.
12. Tovia E, Goldberg-Stern H, Zeev BB, et al. The prevalence of atypical presentations and comorbidities of benign childhood epilepsy with centrotemporal spikes. Epilepsia, 2011, 52(8): 1483-1488.
13. Kim H, Kim S Y, Lim B C, et al. Spike persistence and normalization in benign epilepsy with centrotemporal spikes–Implications for management. Brain Dev, 2018, 40(8): 693-698.
14. Wang X, Zhang Y, Sun R, et al. Risk factors of electrical status epilepticus during sleep in children with benign childhood epilepsy with centro-temporal spikes. Pak J Med Sci, 2024, 40(4): 612.
15. Nicolai J, Aldenkamp AP, Arends J, et al. Cognitive and behavioral effects of nocturnal epileptiform discharges in children with benign childhood epilepsy with centrotemporal spikes. Epilepsy Behav, 2006, 8(1): 56-70.
16. Lee YJ, Hwang SK, Kwon S. The Clinical Spectrum of Benign Epilepsy with Centro-Temporal Spikes: a Challenge in Categorization and Predictability. J Epilepsy Res, 2017, 7(1): 1-6.
17. Kanemura H, Sano F, Aoyagi K, et al. Do sequential EEG changes predict atypical clinical features in rolandic epilepsy? Dev Med Child Neurol, 2012, 54(10): 912-917.
18. Smith AB, Bajomo O, Pal DK. A meta-analysis of literacy and language in children with rolandic epilepsy. Dev Med Child Neurol, 2015, 57(11): 1019-1026.
19. Licchetta L, Vignatelli L, Zenesini C, et al. Sleep-related hypermotor epilepsy: a prediction cohort study on sleep/awake patterns of seizures. Epilepsia, 2019, 60(11): e115-e120.
20. Lindgren S, Kihlgren M, Melin L, et al. Development of cognitive functions in children with rolandic epilepsy. Epilepsy Behav, 2004, 5(6): 903-910.
21. Kramer U, Sagi L, Goldberg-Stern H, et al. Clinical spectrum and medical treatment of children with electrical status epilepticus in sleep (ESES). Epilepsia, 2009, 50(6): 1517-1524.
22. Kobayashi K, Yoshinaga H, Toda Y, et al. High-frequency oscillations in idiopathic partial epilepsy of childhood. Epilepsia, 2011, 52(10): 1812-1819.
23. He W, Liu H, Liu Z, et al. Electrical status epilepticus in sleep affects intrinsically connected networks in patients with benign childhood epilepsy with centrotemporal spikes. Epilepsy Behav, 2020, 106(1): 107032.
24. Huang X, Zhang X, Wang X, et al. A nomogram to predict symptomatic epilepsy in patients with radiation-induced brain necrosis. Neurology, 2020, 95(10): e1392-e1403.

Journal of Epilepsy

Risk factors analysis and prediction model construction of self-limited epilepsy with centrotemporal spikes compilcated by electrical status epilepticus during sleep

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