According to this study, DSM-IV-TR criteria capture more individuals with ASD and intellectual disability than DSM III criteria. The authors examined records from a statewide epidemiological study in the 80s and found that 59% of participants who were considered ‘not autistic’ in the original study likely were autistic based on current DSM criteria and clinician review methods used in CDC studies.
Researchers at Virginia Tech examine M-CHAT performance in a very low socio-economic status setting and find it lacks internal consistency across ethnic and educational groups. Caregivers who reported a low maternal educational level or with minority status were more likely to mark items suggestive of autism compared to those with higher maternal education or non-minority status
A study finds that despite showing similar autistic traits, girls are less likely than boys to meet diagnostic criteria for ASD if no other intellectual or behavioral issues are present. The authors suggest the results might reflect biased diagnosis or better adaptation in girls.
"Early identification of autism has become a national priority but, despite efforts, there are children who are being identified at a later age. In this study, children of Hispanic and African American origin, foreign-born children, and children born to foreign mothers were more likely to be diagnosed later."
"The First Year Inventory is a parent-report measure designed to identify 12-month-old infants at risk for autism spectrum disorder. First Year Inventory taps behaviors that indicate risk in the developmental domains of sensory-regulatory and social-communication functioning. This longitudinal study is a follow-up of 699 children at 3 years of age from a community sample whose parents completed the First Year Inventory when their children were 12 months old. Parents of all 699 children completed the Social Responsiveness Scale-Preschool version and the Developmental Concerns Questionnaire to determine age 3 developmental outcomes. In addition, children deemed at risk for autism spectrum disorder based on liberal cut points on the First Year Inventory, Social Responsiveness Scale-Preschool, and/or Developmental Concerns Questionnaire were invited for in-person diagnostic evaluations. We found 9 children who had a confirmed diagnosis of autism spectrum disorder from the sample of 699. Receiver operating characteristic analyses determined that a two-domain cutoff score yielded optimal classification of children: 31% of those meeting algorithm cutoffs had autism spectrum disorder and 85% had a developmental disability or concern by age 3. These results suggest that the First Year Inventory is a promising tool for identifying 12-month-old infants who are at risk for an eventual diagnosis of autism spectrum disorder."
"The current investigation interrogated single-nucleotide polymorphisms (SNPs) of individuals with ASD from the Autism Genetic Resource Exchange (AGRE) database. SNPs were mapped to Kyoto Encyclopedia of Genes and Genomes (KEGG)-derived pathways to identify affected cellular processes and develop a diagnostic test. "
"OBJECTIVE The DSM-5 Field Trials were designed to obtain precise (standard error <0.1) estimates of the intraclass kappa as a measure of the degree to which two clinicians could independently agree on the presence or absence of selected DSM-5 diagnoses when the same patient was interviewed on separate occasions, in clinical settings, and evaluated with usual clinical interview methods."
"CONCLUSIONS: Proposed DSM-5 criteria could substantially alter the composition of the autism spectrum. Revised criteria improve specificity but exclude a substantial portion of cognitively able individuals and those with ASDs other than autistic disorder. A more stringent diagnostic rubric holds significant public health ramifications regarding service eligibility and compatibility of historical and future research."
