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为了更好地识别自闭症谱系障碍的早期预测指标。

Toward better recognition of early predictors for autism spectrum disorders.

机构信息

Department of Neurology, Hôpital Universitaire des Enfants Reine Fabiola, Université Libre de Bruxelles (ULB), Brussels, Belgium.

出版信息

Pediatr Neurol. 2013 Oct;49(4):225-31. doi: 10.1016/j.pediatrneurol.2013.05.012. Epub 2013 Aug 6.

Abstract

BACKGROUND

Identification and diagnosis of autism spectrum disorders is essentially based on behavioral presentation and developmental history. The current average age at diagnosis is older than 3 years.

METHODS

Over the past 15 years, there has been increasing documentation of the early signs of autism spectrum disorders through both individual retrospective parental reports and screening studies. Recent longitudinal studies have focused on early medical and behavioral features of children regarded at risk, namely younger siblings of children with autism spectrum disorders or children who required neonatal intensive care, with a later diagnosis of autism spectrum disorders.

RESULTS

Potentially useful early neurological signs and developmental predictors for autism spectrum disorders could be identified, with a typical profile that evolved with age.

CONCLUSIONS

Assessment of early social attention and communication skills with adapted scales in children before the age of 18 months in very large community-based settings may lead to high positive predictive values.

摘要

背景

自闭症谱系障碍的识别和诊断主要基于行为表现和发育史。目前的平均诊断年龄大于 3 岁。

方法

在过去的 15 年中,通过个体回顾性父母报告和筛查研究,越来越多地记录了自闭症谱系障碍的早期迹象。最近的纵向研究集中在被认为有风险的儿童的早期医学和行为特征上,即自闭症谱系障碍儿童的兄弟姐妹或需要新生儿重症监护的儿童,他们后来被诊断为自闭症谱系障碍。

结果

可以确定自闭症谱系障碍的潜在有用的早期神经学迹象和发育预测指标,具有随年龄发展的典型特征。

结论

在 18 个月大之前,在非常大的社区环境中使用适应性量表评估儿童的早期社交注意力和沟通技能,可能会导致高阳性预测值。

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