Multisite Study of New Autism Diagnostic Interview-Revised (ADI-R) Algorithms for Toddlers and Young Preschoolers
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Using two independent datasets provided by National Institute of Health funded consortia, the Collaborative Programs for Excellence in Autism and Studies to Advance Autism Research and Treatment (n = 641) and the National Institute of Mental Health (n = 167), diagnostic validity and factor structure of the new Autism Diagnostic Interview (ADI-R) algorithms for toddlers and young preschoolers were examined as a replication of results with the 2011 Michigan sample (Kim and Lord in J Autism Dev Disord 42(1): 82-93, 2012). Sensitivities and specificities and a three-factor solution were replicated. Results suggest that the new ADI-R algorithms can be appropriately applied to existing research databases with children from 12 to 47 months and down to nonverbal mental ages of 10 months for diagnostic grouping.
KeywordsEarly diagnosis Autism spectrum disorders Autism diagnostic interview-revised
We gratefully acknowledge the help of Kaite Gotham and Alice Kau as well as the families that participated in this research. This study was supported by National Institute of Mental Health (NIMH) R01MH066469, NIMH R25MH067723, National Institute of Health Intramural Research Program, NIMH, National Institute on Deafness and Other Communication Disorders, National Institute of Neurological Disorders and Stroke, and Eunice Kennedy Shriver National Institute of Child Health and Human Development. One of the authors, Catherine Lord, receives royalties for the ADI-R and ADOS; profits related to this study were donated to charity.
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