在该研究中使用标准化诊断工具对自闭症儿童进行分类，以探索早期发育情况。
Using standardized diagnostic instruments to classify children with autism in the study to explore early development.
作者信息
Wiggins Lisa D, Reynolds Ann, Rice Catherine E, Moody Eric J, Bernal Pilar, Blaskey Lisa, Rosenberg Steven A, Lee Li-Ching, Levy Susan E
机构信息
National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, 1600 Clifton Road MS E-86, Atlanta, GA, 30333, USA,
出版信息
J Autism Dev Disord. 2015 May;45(5):1271-80. doi: 10.1007/s10803-014-2287-3.
Abstract
The Study to Explore Early Development (SEED) is a multi-site case-control study designed to explore the relationship between autism spectrum disorder (ASD) phenotypes and etiologies. The goals of this paper are to (1) describe the SEED algorithm that uses the Autism Diagnostic Interview-Revised (ADI-R) and Autism Diagnostic Observation Schedule (ADOS) to classify children with ASD, (2) examine psychometric properties of different ASD classification methods, including the SEED method that incorporates rules for resolving ADI-R and ADOS discordance, and (3) determine whether restricted interests and repetitive behaviors were noted for children who had instrument discordance resolved using ADI-R social and communication scores. Results support the utility of SEED criteria when well-defined groups of children are an important clinical or research outcome.
摘要
探索早期发育研究（SEED）是一项多中心病例对照研究，旨在探索自闭症谱系障碍（ASD）表型与病因之间的关系。本文的目的是：（1）描述使用修订版自闭症诊断访谈（ADI-R）和自闭症诊断观察量表（ADOS）对ASD儿童进行分类的SEED算法；（2）检查不同ASD分类方法的心理测量特性，包括纳入解决ADI-R和ADOS不一致规则的SEED方法；（3）确定使用ADI-R社交和沟通得分解决工具不一致问题的儿童是否存在受限兴趣和重复行为。结果支持了SEED标准在明确定义的儿童群体是重要临床或研究结果时的实用性。
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How to use the ADI-R for classifying autism spectrum disorders? Psychometric properties of criteria from the literature in 1,204 Dutch children.如何使用 ADI-R 对自闭症谱系障碍进行分类？1204 名荷兰儿童文献标准的心理测量学特性。
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