Janvier Denisse, Choi Yeo Bi, Klein Claire, Lord Catherine, Kim So Hyun
Center for Autism and the Developing Brain, Weill Cornell Medical College, 21 Bloomingdale Road, White Plains, NY, 10605, USA.
Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, 03755, USA.
J Autism Dev Disord. 2022 Mar;52(3):1388-1394. doi: 10.1007/s10803-021-04952-7. Epub 2021 Apr 7.
Describing the relative severity and change in autism symptoms is crucial for the appropriate characterization of clinical and research populations. The calibrated severity score (CSS) of the Autism Diagnostic Observation Schedule-2 (ADOS-2; Lord et al., 2012) was created to better describe autism symptom severity consistently across different ages and language levels. The CSS has been widely used to quantify and compare symptom severity on a 10-point scale across Modules; however, its test re-test reliability has not been studied. With 608 ADOS observations, we showed strong test re-test reliability of the CSS across all ADOS Modules. The results support the use of the ADOS CSS as a reliable tool to quantify autism symptom severity across development.
描述自闭症症状的相对严重程度和变化对于准确界定临床和研究人群至关重要。《自闭症诊断观察量表第二版》(ADOS - 2;Lord等人,2012年)的校准严重程度评分(CSS)旨在更好地在不同年龄和语言水平上一致地描述自闭症症状严重程度。CSS已被广泛用于在各个模块中以10分制量化和比较症状严重程度;然而,其重测信度尚未得到研究。通过608次ADOS观察,我们表明CSS在所有ADOS模块中都具有很强的重测信度。这些结果支持将ADOS CSS用作在整个发育过程中量化自闭症症状严重程度的可靠工具。