de Bildt Annelies, Sytema Sjoerd, Meffert Harma, Bastiaansen Jojanneke A C J
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.
J Autism Dev Disord. 2016 Jan;46(1):21-30. doi: 10.1007/s10803-015-2532-4.
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.
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。