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《孤独症诊断观察量表》第4模块:修订算法在一个独立、明确的荷兰样本(n = 93)中的应用

The Autism Diagnostic Observation Schedule, Module 4: Application of the Revised Algorithms in an Independent, Well-Defined, Dutch Sample (n = 93).

作者信息

de Bildt Annelies, Sytema Sjoerd, Meffert Harma, Bastiaansen Jojanneke A C J

机构信息

Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.

Accare University Center for Child and Adolescent Psychiatry, PO Box 660, 9700 AR, Groningen, The Netherlands.

出版信息

J Autism Dev Disord. 2016 Jan;46(1):21-30. doi: 10.1007/s10803-015-2532-4.

Abstract

This study examined the discriminative ability of the revised Autism Diagnostic Observation Schedule module 4 algorithm (Hus and Lord in J Autism Dev Disord 44(8):1996-2012, 2014) in 93 Dutch males with Autism Spectrum Disorder (ASD), schizophrenia, psychopathy or controls. Discriminative ability of the revised algorithm ASD cut-off resembled the original algorithm ASD cut-off: highly specific for psychopathy and controls, lower sensitivity than Hus and Lord (2014; i.e. ASD .61, AD .53). The revised algorithm AD cut-off improved sensitivity over the original algorithm. Discriminating ASD from schizophrenia was still challenging, but the better-balanced sensitivity (.53) and specificity (.78) of the revised algorithm AD cut-off may aide clinicians' differential diagnosis. Findings support using the revised algorithm, being conceptually conform the other modules, thus improving comparability across the lifespan.

摘要

本研究考察了修订后的自闭症诊断观察量表模块4算法(Hus和Lord,发表于《自闭症与发育障碍杂志》2014年第44卷第8期:1996 - 2012页)在93名患有自闭症谱系障碍(ASD)、精神分裂症、精神病态或作为对照的荷兰男性中的鉴别能力。修订算法的ASD临界值的鉴别能力与原始算法的ASD临界值相似:对精神病态和对照具有高度特异性,敏感性低于Hus和Lord(2014年;即ASD为0.61,AD为0.53)。修订算法的AD临界值比原始算法提高了敏感性。区分ASD和精神分裂症仍然具有挑战性,但修订算法的AD临界值具有更好平衡的敏感性(0.53)和特异性(0.78),可能有助于临床医生进行鉴别诊断。研究结果支持使用修订后的算法,该算法在概念上与其他模块一致,从而提高了整个生命周期内的可比性。

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