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      Evaluation of the Diagnostic Stability of the Early Autism Spectrum Disorder Phenotype in the General Population Starting at 12 Months

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          Abstract

          This study examines the diagnostic stability of autism spectrum disorder in a large cohort of toddlers starting at 12 months of age and compares this stability with that of toddlers with other disorders.

          Key Points

          Question

          Is an autism spectrum disorder diagnosis stable by 18 months, the earliest age of American Academy of Pediatrics recommended screening?

          Findings

          In a cohort study of 1269 toddlers with and without autism spectrum disorder who received their first diagnostic evaluation between 12 and 36 months, overall stability of an autism spectrum diagnosis was 0.84, which was higher than in other groups.

          Meaning

          Accurate diagnosis of autism spectrum disorder at earlier than 18 months is feasible, and there may be opportunities to test the usefulness of autism spectrum disorder treatment at an early age.

          Abstract

          Importance

          Universal early screening for autism spectrum disorder (ASD) in primary care is becoming increasingly common and is believed to be a pivotal step toward early treatment. However, the diagnostic stability of ASD in large cohorts from the general population, particularly in those younger than 18 months, is unknown. Changes in the phenotypic expression of ASD across early development compared with toddlers with other delays are also unknown.

          Objectives

          To examine the diagnostic stability of ASD in a large cohort of toddlers starting at 12 months of age and to compare this stability with that of toddlers with other disorders, such as developmental delay.

          Design, Setting, and Participants

          In this prospective cohort study performed from January 1, 2006, to December 31, 2018, a total of 2241 toddlers were referred from the general population through a universal screening program in primary care or community referral. Eligible toddlers received their first diagnostic evaluation between 12 and 36 months of age and had at least 1 subsequent evaluation.

          Exposures

          Diagnosis was denoted after each evaluation visit as ASD, ASD features, language delay, developmental delay, other developmental issue, typical sibling of an ASD proband, or typical development.

          Main Outcomes and Measures

          Diagnostic stability coefficients were calculated within 2-month age bands, and logistic regression models were used to explore the associations of sex, age, diagnosis at first visit, and interval between first and last diagnosis with stability. Toddlers with a non-ASD diagnosis at their first visit diagnosed with ASD at their last were designated as having late-identified ASD.

          Results

          Among the 1269 toddlers included in the study (918 [72.3%] male; median age at first evaluation, 17.6 months [interquartile range, 14.0-24.4 months]; median age at final evaluation, 36.2 months [interquartile range, 33.4-40.9 months]), the overall diagnostic stability for ASD was 0.84 (95% CI, 0.80-0.87), which was higher than any other diagnostic group. Only 7 toddlers (1.8%) initially considered to have ASD transitioned into a final diagnosis of typical development. Diagnostic stability of ASD within the youngest age band (12-13 months) was lowest at 0.50 (95% CI, 0.32-0.69) but increased to 0.79 by 14 months and 0.83 by 16 months (age bands of 12 vs 14 and 16 years; odds ratio, 4.25; 95% CI, 1.59-11.74). A total of 105 toddlers (23.8%) were not designated as having ASD at their first visit but were identified at a later visit.

          Conclusions and Relevance

          The findings suggest that an ASD diagnosis becomes stable starting at 14 months of age and overall is more stable than other diagnostic categories, including language or developmental delay. After a toddler is identified as having ASD, there may be a low chance that he or she will test within typical levels at 3 years of age. This finding opens the opportunity to test the impact of very early-age treatment of ASD.

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          Most cited references32

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          Neural consequences of environmental enrichment.

          Neuronal plasticity is a central theme of modern neurobiology, from cellular and molecular mechanisms of synapse formation in Drosophila to behavioural recovery from strokes in elderly humans. Although the methods used to measure plastic responses differ, the stimuli required to elicit plasticity are thought to be activity-dependent. In this article, we focus on the neuronal changes that occur in response to complex stimulation by an enriched environment. We emphasize the behavioural and neurobiological consequences of specific elements of enrichment, especially exercise and learning.
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            • Record: found
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            Identification and evaluation of children with autism spectrum disorders.

            Autism spectrum disorders are not rare; many primary care pediatricians care for several children with autism spectrum disorders. Pediatricians play an important role in early recognition of autism spectrum disorders, because they usually are the first point of contact for parents. Parents are now much more aware of the early signs of autism spectrum disorders because of frequent coverage in the media; if their child demonstrates any of the published signs, they will most likely raise their concerns to their child's pediatrician. It is important that pediatricians be able to recognize the signs and symptoms of autism spectrum disorders and have a strategy for assessing them systematically. Pediatricians also must be aware of local resources that can assist in making a definitive diagnosis of, and in managing, autism spectrum disorders. The pediatrician must be familiar with developmental, educational, and community resources as well as medical subspecialty clinics. This clinical report is 1 of 2 documents that replace the original American Academy of Pediatrics policy statement and technical report published in 2001. This report addresses background information, including definition, history, epidemiology, diagnostic criteria, early signs, neuropathologic aspects, and etiologic possibilities in autism spectrum disorders. In addition, this report provides an algorithm to help the pediatrician develop a strategy for early identification of children with autism spectrum disorders. The accompanying clinical report addresses the management of children with autism spectrum disorders and follows this report on page 1162 [available at www.pediatrics.org/cgi/content/full/120/5/1162]. Both clinical reports are complemented by the toolkit titled "Autism: Caring for Children With Autism Spectrum Disorders: A Resource Toolkit for Clinicians," which contains screening and surveillance tools, practical forms, tables, and parent handouts to assist the pediatrician in the identification, evaluation, and management of autism spectrum disorders in children.
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              • Article: not found

              Synaptic density in human frontal cortex - developmental changes and effects of aging.

              Density of synaptic profiles in layer 3 of middle frontal gyrus was quantitated in 21 normal human brains ranging from newborn to age 90 years. Synaptic profiles could be reliably demonstrated by the phosphotungstic acid method (Bloom and Aghajanian) in tissue fixed up to 36 h postmortem. Synaptic density was constant throughout adult life (ages 16--72 years) with a mean of 11.05 X 10(8) synapses/cu.mm +/- 0.41 S.E.M. There was a slight decline in synaptic density in brains of the aged (ages 74--90 years) with a mean of 9.56 X 10(8) synapses/cu.mm +/- 0.28 S.E.M. in 4 samples (P less than 0.05). Synaptic density in neonatal brains was already high--in the range seen in adults. However, synaptic morphology differed; immature profiles had an irregular presynaptic dense band instead of the separate presynaptic projections seen in mature synapses. Synaptic density increased during infancy, reaching a maximum at age 1--2 years which was about 50% above the adult mean. The decline in synaptic density observed between ages 2--16 years was accompanied by a slight decrease in neuronal density. Human cerebral cortex is one of a number of neuronal systems in which loss of neurons and synapses appears to occur as a late developmental event.
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                Author and article information

                Journal
                JAMA Pediatr
                JAMA Pediatr
                JAMA Pediatr
                JAMA Pediatrics
                American Medical Association
                2168-6203
                2168-6211
                29 April 2019
                June 2019
                29 April 2019
                : 173
                : 6
                : 578-587
                Affiliations
                [1 ]Department of Neurosciences, University of California, San Diego, La Jolla
                [2 ]Department of Pediatrics, University of California, San Diego, La Jolla
                Author notes
                Article Information
                Accepted for Publication: January 15, 2019.
                Published Online: April 29, 2019. doi:10.1001/jamapediatrics.2019.0624
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2019 Pierce K et al. JAMA Pediatrics.
                Corresponding Author: Karen Pierce, PhD, Department of Neurosciences, University of California, San Diego, 8110 La Jolla Shores Dr, La Jolla, CA 92037 ( kpierce@ 123456ucsd.edu ).
                Author Contributions: Dr Pierce had full access to all the data and takes responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: Pierce, Bacon, Courchesne.
                Acquisition, analysis, or interpretation of data: All authors.
                Drafting of the manuscript: Pierce, Nalabolu, Moore, Courchesne.
                Critical revision of the manuscript for important intellectual content: Pierce, Gazestani, Bacon, Carter Barnes, Cha, Lopez, Pence-Stophaeros, Courchesne.
                Statistical analysis: Gazestani.
                Obtained funding: Pierce, Courchesne.
                Administrative, technical, or material support: Bacon, Carter Barnes, Cha, Nalabolu, Lopez, Moore, Pence-Stophaeros, Courchesne.
                Supervision: Pierce, Courchesne.
                Conflict of Interest Disclosures: No disclosures were reported.
                Funding/Support: This work was supported by grant NNF10CC1016517 from the Novo Nordisk Foundation through Center for Biosustainability at the Technical University of Denmark (Dr Gazestani), grants R01 MH104446 and R01-MH080134 from the National Institute of Mental Health (Dr Pierce), a grant from the National Foundation for Autism Research (Dr Pierce), grant P50-MH081755 from the National Institute of Mental Health (Dr Courchesne), and a Progenity grant (Dr Courchesne).
                Role of the Funder/Sponsor: The funding sources had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Additional Contributions: We thank the parents and children in San Diego who participated in our research. Pediatricians and family practice physicians spanning a range of medical groups, including University of California, San Diego, Sharp Rees-Stealy, Scripps, Rady-Children’s Primary Care Medical Group, Chula Vista Pediatrics, Graybill Medical Group, Grossmont Pediatrics, Linda Vista Health Care Center, Mills Pediatrics, North County Health Services, San Diego Family Care, and Sea Breeze Pediatrics provided support for Get SET Early.
                Article
                poi190014
                10.1001/jamapediatrics.2019.0624
                6547081
                31034004
                63b3cc06-e6be-4cea-866b-f8637b9e527d
                Copyright 2019 Pierce K et al. JAMA Pediatrics.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 6 September 2018
                : 8 January 2019
                : 15 January 2019
                Categories
                Research
                Research
                Original Investigation
                Online First

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