基于问卷的工具和经验丰富的儿科神经科医生之间的协议,用于对患儿童的发作类型进行分类
Puneet Kumar Choudhary1, Richa Tiwari1, Prabhjot Kaur1
1Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India.
Annals of Indian Academy of Neurology
|November 28, 2025
概括
一个新的问卷工具有助于根据国际病联盟 (ILAE) 2017年指导方针广泛分类发作类型. 虽然有效的一般分类,详细的类别需要进一步的培训.
科学领域:
- 神经学 神经学
- 的研究研究.
- 临床诊断 临床诊断 临床诊断
背景情况:
- 准确的发作类型识别对于有效治疗和减少患者发病率和死亡率至关重要.
- 国际抗联盟 (ILAE) 2017年分类系统为分类发作提供了一个标准化的框架.
- 现有的诊断工具可能需要改进,以与当前的分类标准保持一致.
研究的目的:
- 根据ILAE 2017分类,开发一种基于问卷的新工具来识别基于ILAE 2017分类的扣押类型.
- 评估开发的工具与专家儿科神经病学家 (PNs) 在分类类型方面的一致性.
主要方法:
- 在经过验证的诊断仪器中添加了六个问题,以覆盖所有ILAE 2017发作类型.
- 儿科住院医生 (PG) 和本科实习生被训练使用该工具来对发作进行分类.
- 该工具的分类与使用kappa协议分析的三个PN的分类进行了比较.
主要成果:
- 这项研究包括144名患有的儿童.
- PG和PN之间的卡帕协议为0.52 (广泛) 和0.28 (详细).
- 实习生和PN之间的卡帕协议为0.45 (广泛) 和0.30 (详细).
结论:
- 问卷工具证明了广泛扣押分类 (通用,焦点,多重,未分类) 的适当性.
- 为了实现与ILAE 2017系统一致的详细扣押分类,可能需要加强培训.
- 该工具显示了在儿童管理中协助初始发作分类的潜力.
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