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自闭症谱系评定量表和社会反应量表在识别智力障碍患者自闭症谱系障碍中的表现。

Performance of the Autism Spectrum Rating Scale and Social Responsiveness Scale in Identifying Autism Spectrum Disorder Among Cases of Intellectual Disability.

机构信息

Department of Neurology, Children's Hospital of Fudan University, Shanghai, 201102, China.

Department of Pediatrics, Guizhou Provincial People's Hospital, Medical College of Guizhou University, Guiyang, 558200, China.

出版信息

Neurosci Bull. 2018 Dec;34(6):972-980. doi: 10.1007/s12264-018-0237-3. Epub 2018 May 28.

Abstract

The Autism Spectrum Rating Scale (ASRS) and the Social Responsiveness Scale (SRS) have been widely used for screening autism spectrum disorder (ASD) in the general population during epidemiological studies, but studies of individuals with intellectual disability (ID) are quite limited. Therefore, we recruited the parents/caregivers of 204 ASD cases, 71 ID cases aged 6-18 years from special education schools, and 402 typically developing (TD) children in the same age span from a community-based population to complete the ASRS and SRS. The results showed that the ID group scored significantly lower on total and subscale scores than the ASD group on both scales (P < 0.05) but higher than TD children (P < 0.05). Receiver operating characteristic analyses demonstrated a similar fair performance in discriminating ASD from ID with the ASRS (area under the curve (AUC) = 0.709, sensitivity = 77.0%, specificity = 52.1%, positive predictive value (PPV) = 82.2%) and the SRS (AUC = 0.742, sensitivity = 59.8%, specificity = 77.5%, PPV = 88.4%). The results showed that individuals with ID had clear autistic traits and discriminating ASD from ID cases was quite challenging, while assessment tools such as ASRS and SRS, help to some degree.

摘要

自闭症谱系评定量表(ASRS)和社会反应量表(SRS)在流行病学研究中已被广泛用于筛查一般人群中的自闭症谱系障碍(ASD),但针对智力障碍(ID)个体的研究相当有限。因此,我们招募了 204 名 ASD 病例、71 名来自特殊教育学校的 6-18 岁 ID 病例以及 402 名来自社区的同龄正常发育(TD)儿童的家长/照顾者,让他们完成 ASRS 和 SRS。结果显示,在两个量表上,ID 组的总分和分量表得分均显著低于 ASD 组(P < 0.05),但高于 TD 儿童(P < 0.05)。受试者工作特征分析表明,ASRS(曲线下面积(AUC)= 0.709,敏感性 = 77.0%,特异性 = 52.1%,阳性预测值(PPV)= 82.2%)和 SRS(AUC = 0.742,敏感性 = 59.8%,特异性 = 77.5%,PPV = 88.4%)在区分 ASD 与 ID 方面具有相似的中等性能。结果表明,ID 个体具有明显的自闭症特征,区分 ASD 与 ID 病例具有一定挑战性,而 ASRS 和 SRS 等评估工具在一定程度上有所帮助。

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