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唐氏综合征中的自闭症谱系障碍:异常行为检查表数据分析支持诊断。

Autism spectrum disorder in Down syndrome: cluster analysis of Aberrant Behaviour Checklist data supports diagnosis.

机构信息

Center for Genetic Disorders of Cognition & Behavior, Kennedy Krieger Institute, Baltimore, Maryland 21205, USA.

出版信息

J Intellect Disabil Res. 2011 Nov;55(11):1064-77. doi: 10.1111/j.1365-2788.2011.01465.x. Epub 2011 Aug 30.

Abstract

BACKGROUND

The diagnostic validity of autism spectrum disorder (ASD) based on Diagnostic and Statistical Manual of Mental Disorders (DSM) has been challenged in Down syndrome (DS), because of the high prevalence of cognitive impairments in this population. Therefore, we attempted to validate DSM-based diagnoses via an unbiased categorisation of participants with a DSM-independent behavioural instrument.

METHODS

Based on scores on the Aberrant Behaviour Checklist - Community, we performed sequential factor (four DS-relevant factors: Autism-Like Behaviour, Disruptive Behaviour, Hyperactivity, Self-Injury) and cluster analyses on a 293-participant paediatric DS clinic cohort. The four resulting clusters were compared with DSM-delineated groups: DS + ASD, DS + None (no DSM diagnosis), DS + DBD (disruptive behaviour disorder) and DS + SMD (stereotypic movement disorder), the latter two as comparison groups.

RESULTS

Two clusters were identified with DS + ASD: Cluster 1 (35.1%) with higher disruptive behaviour and Cluster 4 (48.2%) with more severe autistic behaviour and higher percentage of late onset ASD. The majority of participants in DS + None (71.9%) and DS + DBD (87.5%) were classified into Cluster 2 and 3, respectively, while participants in DS + SMD were relatively evenly distributed throughout the four clusters.

CONCLUSIONS

Our unbiased, DSM-independent analyses, using a rating scale specifically designed for individuals with severe intellectual disability, demonstrated that DSM-based criteria of ASD are applicable to DS individuals despite their cognitive impairments. Two DS + ASD clusters were identified and supported the existence of at least two subtypes of ASD in DS, which deserve further characterisation. Despite the prominence of stereotypic behaviour in DS, the SMD diagnosis was not identified by cluster analysis, suggesting that high-level stereotypy is distributed throughout DS. Further supporting DSM diagnoses, typically behaving DS participants were easily distinguished as a group from those with maladaptive behaviours.

摘要

背景

基于《精神障碍诊断与统计手册》(DSM)的自闭症谱系障碍(ASD)诊断在唐氏综合征(DS)中受到了挑战,因为该人群认知障碍的患病率很高。因此,我们试图通过使用与 DSM 无关的行为工具对参与者进行无偏分类来验证基于 DSM 的诊断。

方法

根据异常行为检查表-社区的得分,我们对 293 名儿科 DS 诊所队列的参与者进行了连续因子(四个与 DS 相关的因子:自闭症样行为、破坏性行为、多动、自伤)和聚类分析。将四个聚类与 DSM 定义的组别进行比较:DS+ASD、DS+无(无 DSM 诊断)、DS+DBD(破坏性行为障碍)和 DS+SMD(刻板运动障碍),后两者作为对照组。

结果

确定了两个具有 DS+ASD 的聚类:聚类 1(35.1%)具有更高的破坏性行为,聚类 4(48.2%)具有更严重的自闭症行为和更高的晚发性 ASD 比例。大多数 DS+无(71.9%)和 DS+DBD(87.5%)的参与者分别归入聚类 2 和 3,而 DS+SMD 的参与者则相对均匀地分布在四个聚类中。

结论

我们使用专门为严重智力残疾者设计的量表进行了无偏、与 DSM 无关的分析,结果表明,尽管存在认知障碍,但基于 DSM 的 ASD 标准适用于 DS 个体。确定了两个 DS+ASD 聚类,并支持 DS 中至少存在两种 ASD 亚型,这值得进一步描述。尽管 DS 中刻板行为突出,但聚类分析并未识别出 SMD 诊断,这表明高水平的刻板行为在 DS 中分布广泛。进一步支持 DSM 诊断,行为正常的 DS 参与者很容易与有适应不良行为的参与者区分开来。

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