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首页> 外文期刊>Epilepsia: Journal of the International League against Epilepsy >Classification of childhood epilepsy syndromes in newly diagnosed epilepsy: interrater agreement and reasons for disagreement.
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Classification of childhood epilepsy syndromes in newly diagnosed epilepsy: interrater agreement and reasons for disagreement.

机译:新诊断的癫痫中的儿童癫痫综合征分类:相互同意和分歧原因。

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PURPOSE: The International League Against Epilepsy (ILAE) classification of the epilepsies is in increasingly widespread use. The following analysis was done to assess the interrater agreement in classifying epilepsy syndromes in children with newly diagnosed epilepsy. METHODS: In a prospective, community-based study, 613 children with newly diagnosed epilepsy were recruited. Based on information available at diagnosis or generated as part of the initial diagnostic assessment, three pediatric neurologists independently classified epilepsy syndromes. Interrater agreement was assessed with kappa. RESULTS: Interrater agreement was extremely good, with kappa scores > or = 0.80 for almost all comparisons. Relatively limited quality of the EEG and seizure information in some cases, as well as discrepancies between the two, were associated with a tendency for more disagreement. CONCLUSIONS: A high degree of interrater agreement was obtained in this study, indicating that the system for classifying syndromes can be meaningfully used in a community-based sample. Quality of the information, which is often, by necessity, less than optimal in newly diagnosed epilepsy, is a potential barrier to identification of syndromes. A substantial proportion of children were classified into relatively nonspecific syndromes. Over time, additional information may come to light to allow more precise identification of their forms of epilepsy. In an epidemiologic setting, the ILAE classification of the epilepsies can be successfully used with a high degree of reliability to classify newly diagnosed epilepsy in children.
机译:目的:国际抗癫痫联盟(ILAE)对癫痫病的分类正在越来越广泛地使用。进行了以下分析,以评估将新诊断出的癫痫患儿的癫痫综合征分类的interter协议。方法:在一项基于社区的前瞻性研究中,招募了613名新诊断为癫痫的儿童。根据诊断时可用的信息或作为初始诊断评估的一部分生成的信息,三名儿科神经科医生对癫痫综合征进行了独立分类。评估者之间的协议用kappa评估。结果:Interrater一致性非常好,几乎所有比较的kappa得分>或= 0.80。脑电图和癫痫发作信息的相对有限的质量,以及两者之间的差异,与更多的分歧趋势相关。结论:在这项研究中获得了高度的人际协议,表明在基于社区的样本中可以有效地使用综合征分类系统。信息的质量(在新诊断的癫痫病中经常有必要低于最佳质量)是识别综合征的潜在障碍。很大一部分儿童被分类为相对非特异性的综合症。随着时间的流逝,可能会出现更多信息,以便更准确地识别其癫痫的形式。在流行病学环境中,癫痫的ILAE分类可以高度可靠地成功用于对儿童新诊断的癫痫进行分类。

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