Havdahl K Alexandra, von Tetzchner Stephen, Huerta Marisela, Lord Catherine, Bishop Somer L
Center for Autism and the Developing Brain, Weill Cornell Medical College, White Plains, New York.
Lovisenberg Diaconal Hospital, Oslo, Norway.
Autism Res. 2016 Jan;9(1):33-42. doi: 10.1002/aur.1515. Epub 2015 Jul 3.
The Child Behavior Checklist (CBCL) has been proposed for screening of autism spectrum disorders (ASD) in clinical settings. Given the already widespread use of the CBCL, this could have great implications for clinical practice. This study examined the utility of CBCL profiles in differentiating children with ASD from children with other clinical disorders. Participants were 226 children with ASD and 163 children with attention-deficit/hyperactivity disorder, intellectual disability, language disorders, or emotional disorders, aged 2-13 years. Diagnosis was based on comprehensive clinical evaluation including well-validated diagnostic instruments for ASD and cognitive testing. Discriminative validity of CBCL profiles proposed for ASD screening was examined with area under the curve (AUC) scores, sensitivity, and specificity. The CBCL profiles showed low discriminative accuracy for ASD (AUC 0.59-0.70). Meeting cutoffs proposed for ASD was associated with general emotional/behavioral problems (EBP; mood problems/aggressive behavior), both in children with and without ASD. Cutoff adjustment depending on EBP-level was associated with improved discriminative accuracy for school-age children. However, the rate of false positives remained high in children with clinical levels of EBP. The results indicate that use of the CBCL profiles for ASD-specific screening would likely result in a large number of misclassifications. Although taking EBP-level into account was associated with improved discriminative accuracy for ASD, acceptable specificity could only be achieved for school-age children with below clinical levels of EBP. Further research should explore the potential of using the EBP adjustment strategy to improve the screening efficiency of other more ASD-specific instruments.
儿童行为量表(CBCL)已被提议用于临床环境中自闭症谱系障碍(ASD)的筛查。鉴于CBCL已被广泛使用,这可能对临床实践产生重大影响。本研究考察了CBCL量表在区分ASD儿童与其他临床疾病儿童方面的效用。参与者为226名年龄在2至13岁之间的ASD儿童以及163名患有注意力缺陷多动障碍、智力障碍、语言障碍或情绪障碍的儿童。诊断基于全面的临床评估,包括经过充分验证的ASD诊断工具和认知测试。通过曲线下面积(AUC)得分、敏感性和特异性来检验提议用于ASD筛查的CBCL量表的区分效度。CBCL量表对ASD的区分准确性较低(AUC为0.59 - 0.70)。达到提议的ASD临界值与一般情绪/行为问题(EBP;情绪问题/攻击行为)相关,无论是否患有ASD的儿童均如此。根据EBP水平进行临界值调整与提高学龄儿童的区分准确性相关。然而,在具有临床水平EBP的儿童中,假阳性率仍然很高。结果表明,使用CBCL量表进行ASD特异性筛查可能会导致大量错误分类。虽然考虑EBP水平与提高ASD的区分准确性相关,但只有对于EBP水平低于临床水平的学龄儿童才能实现可接受的特异性。进一步的研究应探索使用EBP调整策略来提高其他更具ASD特异性工具的筛查效率的潜力。