| Literature DB >> 28879490 |
Lisa D Wiggins1, Lin H Tian2, Susan E Levy3, Catherine Rice4, Li-Ching Lee5, Laura Schieve2, Juhi Pandey3, Julie Daniels6, Lisa Blaskey3, Susan Hepburn7, Rebecca Landa8, Rebecca Edmondson-Pretzel9, William Thompson2.
Abstract
The objective of this study was to identify homogenous classes of young children with autism spectrum disorder (ASD) to improve phenotypic characterization. Children were enrolled in the Study to Explore Early Development between 2 and 5 years of age. 707 children were classified with ASD after a comprehensive evaluation with strict diagnostic algorithms. Four classes of children with ASD were identified from latent class analysis: mild language delay with cognitive rigidity, mild language and motor delay with dysregulation, general developmental delay, and significant developmental delay with repetitive motor behaviors. We conclude that a four-class phenotypic model of children with ASD best describes our data and improves phenotypic characterization of young children with ASD. Implications for screening, diagnosis, and research are discussed.Entities:
Keywords: Autism; Autism spectrum disorder; Characterization; Phenotypes; Subgroups
Mesh:
Year: 2017 PMID: 28879490 PMCID: PMC5848505 DOI: 10.1007/s10803-017-3280-4
Source DB: PubMed Journal: J Autism Dev Disord ISSN: 0162-3257