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The objective of this study was to identify subgroups of toddlers with DSM-5 ASD based on core ASD symptoms using a person-based analytical framework. This is a retrospective study of 500 toddlers (mean age 26 months, 79% male) with DSM-5 ASD. Data were analyzed using latent class analyses in which profiles were formed based on ASD symptomatology. Social communication (SC) symptoms favored a three-class solution, while restricted/repetitive behaviors (RRBs) favored a two-class solution. Classes with higher consistency of SC deficits were younger, with lower developmental functioning. The class with more RRBs was older, with higher functioning. If confirmed in other populations, these classes may more precisely characterize subgroups within the heterogeneous group of toddlers at time of ASD diagnosis., Author(s): Holly K. Harris [sup.1] [sup.2] , Collin Lee [sup.1] , Georgios D. Sideridis [sup.1] , William J. Barbaresi [sup.1] , Elizabeth Harstad [sup.1] Author Affiliations: (1) grid.2515.3, 0000 0004 [...]

A correction to this paper has been published: https://doi.org/10.1007/s10803-021-04954-5, Author(s): Holly K. Harris [sup.1] [sup.2], Collin Lee [sup.1], Georgios D. Sideridis [sup.1], William J. Barbaresi [sup.1], Elizabeth Harstad [sup.1] Author Affiliations: (1) grid.2515.3, 0000 0004 0378 8438, Division of [...]

Controversy exists regarding the DSM-5 criteria for ASD. This study tested the psychometric properties of the DSM-5 model and determined how well it performed across different gender, IQ, and DSM-IV-TR sub-type, using clinically collected data on 227 subjects (median age = 3.95 years, majority had IQ > 70). DSM-5 was psychometrically superior to the DSM-IV-TR model (Comparative Fit Index of 0.970 vs 0.879, respectively). Measurement invariance revealed good model fit across gender and IQ. Younger children tended to meet fewer diagnostic criteria. Those with autistic disorder were more likely to meet social communication and repetitive behaviors criteria (p < .001) than those with PDD-NOS. DSM-5 is a robust model but will identify a different, albeit overlapping population of individuals compared to DSM-IV-TR., Author(s): Elizabeth B. Harstad[sup.1] [sup.2] , Jason Fogler[sup.1] [sup.2] , Georgios Sideridis[sup.1] [sup.2] , Sarah Weas[sup.1] , Carrie Mauras[sup.1] [sup.2] , William J. Barbaresi[sup.1] [sup.2] Author Affiliations: (1) Division of [...]

This study employed a single subject, multiple baseline across behaviors design to examine the effects of dynamic temporal and tactile cueing (DTTC). The participant is a 12-year-old male with CHARGE [...]

Byline: Thomas D. Challman (1), William J. Barbaresi (1), Slavica K. Katusic (2), Amy Weaver (3) Keywords: Autism; pervasive developmental disorder--not otherwise specified; medical conditions; chromosomal disorders Abstract: Little information is available regarding the yield of the medical evaluation of children diagnosed with pervasive developmental disorder--not otherwise specified (PDD-NOS) compared to children diagnosed with autistic disorder. Medical records were reviewed for 182 patients less than 18 years of age with either PDD-NOS or autistic disorder evaluated between 1994 and 1998 at Mayo Clinic. A condition likely to be etiologically relevant was identified in 6/117 (5.1%) patients diagnosed with PDD-NOS and 2/65 (3.1%) patients diagnosed with autistic disorder. Genetic disorders, both chromosomal and single-gene, were the most commonly identified conditions. Seizure disorders, electroencephalogram abnormalities, and anomalies on brain imaging were common in both groups. The likelihood of uncovering an etiologically relevant condition in children diagnosed with either PDD-NOS or autistic disorder may be equivalent. The scope of the etiological search in an individual patient with an autistic spectrum disorder should not be limited by the specific diagnostic category. Author Affiliation: (1) Department of Pediatric and Adolescent Medicine, Division of Developmental and Behavioral Pediatrics, Mayo Clinic, 200 First Street SW, Rochester, Minnesota (2) Department of Health Sciences Research, Division of Epidemiology, Mayo Clinic, 200 First Street SW, Rochester, Minnesota (3) Division of Biostatistics, Department of Health Sciences Research, 200 First Street SW, Rochester, Minnesota Article History: Registration Date: 05/10/2004