Gotham Katherine, Pickles Andrew, Lord Catherine
University of Michigan Autism and Communication Disorders Center, Ann Arbor, MI 48109-2054, USA.
J Autism Dev Disord. 2009 May;39(5):693-705. doi: 10.1007/s10803-008-0674-3. Epub 2008 Dec 12.
The aim of this study is to standardize Autism Diagnostic Observation Schedule (ADOS) scores within a large sample to approximate an autism severity metric. Using a dataset of 1,415 individuals aged 2-16 years with autism spectrum disorders (ASD) or nonspectrum diagnoses, a subset of 1,807 assessments from 1,118 individuals with ASD were divided into narrow age and language cells. Within each cell, severity scores were based on percentiles of raw totals corresponding to each ADOS diagnostic classification. Calibrated severity scores had more uniform distributions across developmental groups and were less influenced by participant demographics than raw totals. This metric should be useful in comparing assessments across modules and time, and identifying trajectories of autism severity for clinical, genetic, and neurobiological research.
本研究的目的是在一个大样本中对孤独症诊断观察量表（ADOS）分数进行标准化，以近似一个孤独症严重程度指标。利用一个包含1415名年龄在2至16岁之间患有孤独症谱系障碍（ASD）或非谱系诊断的个体的数据集，从1118名患有ASD的个体中选取的1807次评估被划分为狭窄的年龄和语言单元格。在每个单元格内，严重程度分数基于与每个ADOS诊断分类相对应的原始总分百分位数。校准后的严重程度分数在不同发育组中分布更均匀，并且比原始总分受参与者人口统计学特征的影响更小。这个指标在比较不同模块和不同时间的评估，以及为临床、遗传和神经生物学研究确定孤独症严重程度轨迹方面应该是有用的。
