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[自闭症筛查清单在自闭症谱系障碍早期识别中的价值]

[Value of autism screening checklists in the early identification of autism spectrum disorder].

作者信息

Wei Qiu-Hong, Xie Xiao-Fen, Dai Jing-Jing, Yu Yang, Zhang Yu, Cheng Qian

机构信息

Department of Health Care, Children's Hospital of Chongqing Medical University/Ministry of Education Key Laboratory of Child Development and Disorders/National Clinical Research Center for Child Health and Disorders/China International Science and Technology Cooperation Base of Child Development and Critical Disorders/Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China.

出版信息

Zhongguo Dang Dai Er Ke Za Zhi. 2021 Apr;23(4):343-349. doi: 10.7499/j.issn.1008-8830.2010070.

Abstract

OBJECTIVE

To evaluate the value of autism screening checklists in the early identification of autism spectrum disorder (ASD).

METHODS

A total of 2 571 children who attended the Children's Hospital of Chongqing Medical University and completed autism screening and diagnostic test were enrolled as subjects, among whom 2 074 were diagnosed with ASD, 261 were diagnosed with global developmental delay (GDD), 206 were diagnosed with developmental language disorder (DLD), and 30 had normal development. The sensitivity, specificity, and optimal threshold value of the Modified Checklist for Autism in Toddlers (M-CHAT) and the Autism Behavior Checklist (ABC) for the early identification of ASD were evaluated by the receiver operating characteristic (ROC) curve.

RESULTS

The M-CHAT had a high sensitivity of 88.3% but a low specificity of 36.0% for the identification of ASD. Its sensitivity decreased with age, and was maintained above 80% for children aged 16 to < 48 months. The ABC had a high specificity of 87.3% but a low sensitivity of 27.2%, with an optimal cut-off value of 47.5 based on the ROC curve analysis. The multivariate linear regression model based on a combination of the M-CHAT and ABC for screening of ASD showed a specificity of 85.8% and a sensitivity of 56.6%.

CONCLUSIONS

The M-CHAT has a high sensitivity and a low specificity in the identification of ASD, with a better effect in children aged 16 to < 48 months. The ABC has a high specificity and a low sensitivity. The multiple linear regression model method based on the combined M-CHAT and ABC to screen ASD appears to be effective.

摘要

目的

评估自闭症筛查清单在自闭症谱系障碍(ASD)早期识别中的价值。

方法

选取重庆医科大学附属儿童医院的2571名儿童作为研究对象,这些儿童均完成了自闭症筛查及诊断测试,其中2074例被诊断为ASD,261例被诊断为全面发育迟缓(GDD),206例被诊断为发育性语言障碍(DLD),30例发育正常。采用受试者工作特征(ROC)曲线评估改良婴幼儿自闭症筛查量表(M-CHAT)和自闭症行为量表(ABC)对ASD早期识别的敏感性、特异性及最佳阈值。

结果

M-CHAT识别ASD的敏感性较高,为88.3%,但特异性较低,为36.0%。其敏感性随年龄增长而降低,在16至<48月龄儿童中保持在80%以上。ABC的特异性较高,为87.3%,但敏感性较低,为27.2%,根据ROC曲线分析,最佳截断值为47.5。基于M-CHAT和ABC联合筛查ASD的多元线性回归模型显示,特异性为85.8%,敏感性为56.6%。

结论

M-CHAT在识别ASD方面敏感性高、特异性低,在16至<48月龄儿童中效果较好。ABC特异性高、敏感性低。基于M-CHAT和ABC联合筛查ASD的多元线性回归模型方法似乎有效。

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