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使用婴幼儿孤独症特征筛查量表(Baby and Infant Screen for aUtIsm Traits)时,哪些症状能够预测发育迟缓的婴幼儿被诊断为孤独症或未特定型广泛性发育障碍(PDD-NOS)?

What symptoms predict the diagnosis of autism or PDD-NOS in infants and toddlers with developmental delays using the Baby and Infant Screen for aUtIsm Traits.

作者信息

Matson Johnny L, Fodstad Jill C, Dempsey Timothy

机构信息

Louisiana State University, Baton Rouge, 70816, USA.

出版信息

Dev Neurorehabil. 2009;12(6):381-8. doi: 10.3109/17518420903029501.

Abstract

PURPOSE

Autism Spectrum Disorders (ASD) are characterized by life-long and severe symptoms such as stereotypies, social skills deficits and language delays. Previous research has demonstrated that children who receive early intensive behavioural intervention have a better prognosis than those who do not receive services. It is for this reason that assessments designed specifically for early identification of ASD are of paramount important.

METHOD

In Study 1, 957 infants with autism, PDD-NOS and atypical development were evaluated using an assessment screener for ASD traits, the Baby and Infant Screen for aUtIsm Traits (BISCUIT). In Study 2, only those with an autism or PDD-NOS diagnosis were evaluated.

RESULTS

The BISCUIT was found to have an excellent overall classification rate for children in the target population. A sub-set of BISCUIT items was found that distinguished children with ASD from atypically developing children. Items were also found which could accurately predict autism vs PDD-NOS diagnosis.

CONCLUSIONS

These data suggest that the core features of ASD are distinct and can be identified early in life. Furthermore, the presence of specific core behaviours can allow for a more accurate clinical and diagnostic picture for young children with autism or PDD-NOS vs general developmental delays.

摘要

目的

自闭症谱系障碍(ASD)的特征是存在刻板行为、社交技能缺陷和语言发育迟缓等终身性严重症状。先前的研究表明,接受早期强化行为干预的儿童比未接受服务的儿童预后更好。正因如此,专门为早期识别ASD设计的评估至关重要。

方法

在研究1中,使用自闭症特征评估筛查工具“婴儿自闭症特征筛查量表”(BISCUIT)对957名患有自闭症、广泛性发育障碍未特定化(PDD-NOS)和非典型发育的婴儿进行了评估。在研究2中,仅对那些被诊断为自闭症或PDD-NOS的儿童进行了评估。

结果

发现BISCUIT对目标人群中的儿童具有出色的总体分类率。发现了BISCUIT项目的一个子集,该子集能够区分患有ASD的儿童和非典型发育的儿童。还发现了一些项目,可以准确预测自闭症与PDD-NOS的诊断。

结论

这些数据表明,ASD的核心特征是独特的,并且可以在生命早期被识别。此外,特定核心行为的存在可以为患有自闭症或PDD-NOS的幼儿与一般发育迟缓的幼儿提供更准确的临床和诊断情况。

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