Suppr超能文献

理解 SCN1A 相关癫痫综合征中的神经发育轨迹和行为特征。

Understanding neurodevelopmental trajectories and behavioral profiles in SCN1A-related epilepsy syndromes.

机构信息

Department of Psychiatry and Brain Center, University Medical Center Utrecht, the Netherlands.

Department of Child Neurology, Brain Center, University Medical Center Utrecht, the Netherlands. Member of ERN EpiCare.

出版信息

Epilepsy Behav. 2024 May;154:109726. doi: 10.1016/j.yebeh.2024.109726. Epub 2024 Mar 20.

Abstract

BACKGROUND

A pathogenic variant in SCN1A can result in a spectrum of phenotypes, including Dravet syndrome (DS) and genetic epilepsy with febrile seizures plus (GEFS + ) syndrome. Dravet syndrome (DS) is associated with refractory seizures, developmental delay, intellectual disability (ID), motor impairment, and challenging behavior(1,2). GEFS + is a less severe phenotype in which cognition is often normal and seizures are less severe. Challenging behavior largely affects quality of life of patients and their families. This study describes the profile and course of the behavioral phenotype in patients with SCN1A-related epilepsy syndromes, explores correlations between behavioral difficulties and potential risk factors.

METHODS

Data were collected from questionnaires, medical records, and semi-structured interviews. Behavior difficulties were measured using the Adult/Child Behavior Checklist (C/ABCL) and Adult self-report (ASR). Other questionnaires included the Pediatric Quality of Life Inventory (PedsQL), the Functional Mobility Scale (FMS) and the Sleep Behavior Questionnaire by Simonds & Parraga (SQ-SP). To determine differences in behavioral difficulties longitudinally, paired T-tests were used. Pearson correlation and Spearman rank test were used in correlation analyses and multivariable regression analyses were employed to identify potential risk factors.

RESULTS

A cohort of 147 participants, including 107 participants with DS and 40 with genetic epilepsy with febrile seizures plus (GEFS + ), was evaluated. Forty-six DS participants (43.0 %) and three GEFS + participants (7.5 %) showed behavioral problems in the clinical range on the A/CBCL total problems scale. The behavioral profile in DS exists out of withdrawn behavior, aggressive behavior, and attention problems. In DS patients, sleep disturbances (β = 1.15, p < 0.001) and a lower age (β = -0.21, p = 0.001) were significantly associated with behavioral difficulties. Between 2015 and 2022, behavioral difficulties significantly decreased with age (t = -2.24, CI = -6.10 - -0.15, p = 0.04) in DS participants aging from adolescence into adulthood. A decrease in intellectual functioning (β = 3.37, p = 0.02) and using less antiseizure medications in 2022 than in 2015, (β = -1.96, p = 0.04), were identified as possible risk factors for developing (more) behavioral difficulties.

CONCLUSIONS

These findings suggest that, in addition to epilepsy, behavioral difficulties are a core feature of the DS phenotype. Behavioral problems require personalized management and treatment strategies. Further research is needed to identify effective interventions.

摘要

背景

SCN1A 中的致病性变异可导致一系列表型,包括 Dravet 综合征 (DS) 和伴发热性惊厥附加症的遗传性癫痫 (GEFS+ 综合征)。Dravet 综合征 (DS) 与难治性癫痫、发育迟缓、智力残疾 (ID)、运动障碍和行为挑战有关 (1,2)。GEFS+ 是一种较轻的表型,其认知功能通常正常,癫痫发作也较轻。行为挑战在很大程度上影响患者及其家属的生活质量。本研究描述了 SCN1A 相关癫痫综合征患者的行为表型特征和病程,探讨了行为困难与潜在风险因素之间的相关性。

方法

数据来自问卷、病历和半结构化访谈。使用儿童/成人行为检查表 (C/ABCL) 和成人自评量表 (ASR) 评估行为困难。其他问卷包括儿科生活质量量表 (PedsQL)、功能移动量表 (FMS) 和 Simonds & Parraga 的睡眠行为问卷 (SQ-SP)。为了确定纵向行为困难的差异,使用配对 T 检验。在相关性分析中使用 Pearson 相关和 Spearman 秩检验,使用多变量回归分析确定潜在风险因素。

结果

评估了 147 名参与者的队列,其中 107 名参与者患有 DS,40 名患有伴发热性惊厥附加症的遗传性癫痫 (GEFS+ 综合征)。46 名 DS 参与者 (43.0%) 和 3 名 GEFS+ 参与者 (7.5%) 在 A/CBCL 总分量表上显示出临床范围内的行为问题。DS 患者的行为特征包括退缩行为、攻击行为和注意力问题。在 DS 患者中,睡眠障碍 (β=1.15,p<0.001) 和年龄较小 (β=-0.21,p=0.001) 与行为困难显著相关。在 2015 年至 2022 年间,随着 DS 患者从青春期进入成年期,行为困难随着年龄的增长而显著下降 (t=-2.24,CI=-6.10 至-0.15,p=0.04)。智力功能下降 (β=3.37,p=0.02) 和 2022 年比 2015 年使用的抗癫痫药物减少 (β=-1.96,p=0.04) 被确定为出现 (更多) 行为困难的可能风险因素。

结论

这些发现表明,除了癫痫之外,行为困难也是 DS 表型的核心特征。行为问题需要个性化的管理和治疗策略。需要进一步研究以确定有效的干预措施。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验