Symptom trajectories in the first 18 months and autism risk in a prospective high-risk cohort.


Journal

Journal of child psychology and psychiatry, and allied disciplines
ISSN: 1469-7610
Titre abrégé: J Child Psychol Psychiatry
Pays: England
ID NLM: 0375361

Informations de publication

Date de publication:
12 2021
Historique:
accepted: 19 02 2021
pubmed: 31 3 2021
medline: 1 1 2022
entrez: 30 3 2021
Statut: ppublish

Résumé

Although early autism spectrum disorder (ASD) detection strategies tend to focus on differences at a point in time, behavioral symptom trajectories may also be informative. Developmental trajectories of early signs of ASD were examined in younger siblings of children diagnosed with ASD (n = 499) and infants with no family history of ASD (n = 177). Participants were assessed using the Autism Observation Scale for Infants (AOSI) from 6 to 18 months. Diagnostic outcomes were determined at age 3 years blind to previous assessments. Semiparametric group-based modeling using AOSI scores identified three distinct trajectories: Group 1 ('Low', n = 435, 64.3%) was characterized by a low level and stable evolution of ASD signs, group 2 ('Intermediate', n = 180, 26.6%) had intermediate and stable levels, and group 3 ('Inclining', n = 61, 9.3%) had higher and progressively elevated levels of ASD signs. Among younger siblings, ASD rates at age 3 varied by trajectory of early signs and were highest in the Inclining group, membership in which was highly specific (94.5%) but poorly sensitive (28.5%) to ASD. Children with ASD assigned to the inclining trajectory had more severe symptoms at age 3, but developmental and adaptive functioning did not differ by trajectory membership. These prospective data emphasize variable early-onset patterns and the importance of a multipronged approach to early surveillance and screening for ASD.

Sections du résumé

BACKGROUND
Although early autism spectrum disorder (ASD) detection strategies tend to focus on differences at a point in time, behavioral symptom trajectories may also be informative.
METHODS
Developmental trajectories of early signs of ASD were examined in younger siblings of children diagnosed with ASD (n = 499) and infants with no family history of ASD (n = 177). Participants were assessed using the Autism Observation Scale for Infants (AOSI) from 6 to 18 months. Diagnostic outcomes were determined at age 3 years blind to previous assessments.
RESULTS
Semiparametric group-based modeling using AOSI scores identified three distinct trajectories: Group 1 ('Low', n = 435, 64.3%) was characterized by a low level and stable evolution of ASD signs, group 2 ('Intermediate', n = 180, 26.6%) had intermediate and stable levels, and group 3 ('Inclining', n = 61, 9.3%) had higher and progressively elevated levels of ASD signs. Among younger siblings, ASD rates at age 3 varied by trajectory of early signs and were highest in the Inclining group, membership in which was highly specific (94.5%) but poorly sensitive (28.5%) to ASD. Children with ASD assigned to the inclining trajectory had more severe symptoms at age 3, but developmental and adaptive functioning did not differ by trajectory membership.
CONCLUSIONS
These prospective data emphasize variable early-onset patterns and the importance of a multipronged approach to early surveillance and screening for ASD.

Identifiants

pubmed: 33782970
doi: 10.1111/jcpp.13417
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1435-1443

Subventions

Organisme : CIHR
Pays : Canada

Informations de copyright

© 2021 Association for Child and Adolescent Mental Health.

Références

American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (4th ed - Text Revision). Washington: APA.
Bedford, R., Gliga, T., Shephard, E., Elsabbagh, M., Pickles, A., Charman, T., … & Johnson, M.H. (2017). Neurocognitive and observational markers: Prediction of autism spectrum disorder from infancy to mid-childhood. Molecular Autism, 8, 49.
Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society. Series B (Methodological), 57, 289-300.
Brian, A.J., Roncadin, C., Duku, E., Bryson, S.E., Smith, I.M., Roberts, W., … & Zwaigenbaum, L. (2014). Emerging cognitive profiles in high-risk infants with and without autism spectrum disorder. Research in Autism Spectrum Disorders, 8(11), 1557-1566.
Brian, J.A., Smith, I.M., Zwaigenbaum, L., & Bryson, S.E. (2017). Cross-site randomized control trial of the Social ABCs caregiver-mediated intervention for toddlers with autism spectrum disorder. Autism Research, 10, 1700-1711.
Bryson, S.E., Zwaigenbaum, L., McDermott, C., Rombough, V., & Brian, J. (2008). The Autism Observation Scale for Infants: Scale development and reliability data. Journal of Autism and Developmental Disorders, 38, 731-738.
Celeux, G., & Gilda, S. (1996). An entropy criterion for assessing the number of clusters in a mixture model. Journal of Classification, 13, 195-212.
Dai, Y.G., Porto, K.S., Skapek, M., Barton, M.L., Dumont-Mathieu, T., Fein, D.A., & Robins, D.L. (2020). Comparison of the Modified Checklist for Autism in Toddlers, Revised with Follow-Up (M-CHAT-R/F) positive predictive value by race. Journal of Autism and Developmental Disorders, 51, 855-867.
Dawson, G. (2008). Early behavioral intervention, brain plasticity, and the prevention of autism spectrum disorder. Development and Psychopathology, 20, 775-803.
Estes, A., Zwaigenbaum, L., Gu, H., St. John, T., Paterson, S., Elison, J.T., … & Piven, J. (2015). Behavioral, cognitive, and adaptive development in infants with autism spectrum disorder in the first 2 years of life. Journal of Neurodevelopmental Disorders, 7, 24.
Gammer, I., Bedford, R., Elsabbagh, M., Garwood, H., Pasco, G., Tucker, L., … & BASIS Team (2015). Behavioural markers for autism in infancy: scores on the Autism Observational Scale for Infants in a prospective study of at-risk siblings. Infant Behavior & Development, 38, 107-115.
Gotham, K., Pickles, A., & Lord, C. (2009). Standardizing ADOS scores for a measure of severity in autism spectrum disorders. Journal of Autism and Developmental Disorders, 39, 693-705.
Green, J., Pickles, A., Pasco, G., Bedford, R., Wan, M.W., Elsabbagh, M., … & the BASIS Team (2017). Randomised trial of a parent-mediated intervention for infants at high risk for autism: Longitudinal outcomes to age 3 years. Journal of Child Psychology and Psychiatry, 58, 1330-1340.
Guthrie, W., Wallis, K., Bennett, A., Brooks, E., Dudley, J., Gerdes, M., … & Miller, J.S. (2019). Accuracy of autism screening in a large pediatric network. Pediatrics, 144, e20183963.
Hazlett, H.C., Gu, H., Munsell, B.C., Kim, S.H., Styner, M., Wolff, J.J., … & Piven, J. (2017). Early brain development in infants at high risk for autism spectrum disorder. Nature, 542, 348-351.
Jones, B., & Nagin, D. (2012). A note on a stata plugin for estimating group-based trajectory models. Sociological Methods & Research, 42, 608-613.
Kim, S.H., Bal, V.H., Benrey, N., Choi, Y.B., Guthrie, W., Colombi, C., & Lord, C. (2018). Variability in autism symptom trajectories using repeated observations from 14 to 36 months of age. Journal of the American Academy of Child and Adolescent Psychiatry, 57, 837-848.e2.
Klin, A., Klaiman, C., & Jones, W. (2015). Reducing age of autism diagnosis: Developmental social neuroscience meets public health challenge. Revista De Neurologia, 60, S3-S11.
Landa, R.J., Gross, A.L., Stuart, E.A., & Bauman, M. (2012). Latent class analysis of early developmental trajectory in baby siblings of children with autism. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 53, 986-996.
Landa, R.J., Gross, A.L., Stuart, E.A., & Faherty, A. (2013). Developmental trajectories in children with and without autism spectrum disorders: The first 3 years. Child Development, 84, 429-442.
Longard, J., Brian, J., Zwaigenbaum, L., Duku, E., Moore, C., Smith, I.M., … & Bryson, S. (2017). Early expressive and receptive language trajectories in high-risk infant siblings of children with autism spectrum disorder. Autism & Developmental Language Impairments, 2, 1-11.
Lord, C., Risi, S., Lambrecht, L., Cook, E.H., Jr, Leventhal, B.L., DiLavore, P.C., … & Rutter, M. (2000). The autism diagnostic observation schedule-generic: a standard measure of social and communication deficits associated with the spectrum of autism. Journal of Autism and Developmental Disorders, 30, 205-223.
Lord, C., Rutter, M., & Le Couteur, A. (1994). Autism Diagnostic Interview-Revised: A revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders. Journal of Autism and Developmental Disorders, 24, 659-685.
Micheletti, M., McCracken, C., Constantino, J.N., Mandell, D., Jones, W., & Klin, A. (2020). Research Review: Outcomes of 24- to 36-month-old children with autism spectrum disorder vary by ascertainment strategy: A systematic review and meta-analysis. Journal of Child Psychology and Psychiatry, 61, 4-17.
Miller, M., Iosif, A.-M., Bell, L.J., Farquhar-Leicester, A., Hatch, B., Hill, A., … & Ozonoff, S. (2020). Can familial risk for ADHD be detected in the first two years of life? Journal of Clinical Child and Adolescent. https://doi.org/10.1080/15374416.2019.1709196
Miller, M., Iosif, A.M., Hill, M., Young, G.S., Schwichtenberg, A.J., & Ozonoff, S. (2017). Response to name in infants developing autism spectrum disorder: A prospective study. The Journal of Pediatrics, 183, 141-146.e1.
Mullen, E.M. (1995). Mullen Scales of Early Learning. Circle Pines: American Guidance.
Nagin, D.S. (1999). Analyzing developmental trajectories: a semi-parametric, group-based approach. Psychological Methods, 4, 139-177.
Nagin, D.S. (2005). Group-based modelling of development. Cambridge, MA: Harvard University Press.
Nyström, P., Thorup, E., Bölte, S., & Falck-Ytter, T. (2019). Joint attention in infancy and the emergence of autism. Biological Psychiatry, 86, 631-638.
Ozonoff, S., & Iosif, A.M. (2019). Changing conceptualizations of regression: What prospective studies reveal about the onset of autism spectrum disorder. Neuroscience and Biobehavioral Reviews, 100, 296-304.
Ozonoff, S., Iosif, A.M., Baguio, F., Cook, I.C., Hill, M.M., Hutman, T., … & Young, G.S. (2010). A prospective study of the emergence of early behavioral signs of autism. Journal of the American Academy of Child and Adolescent Psychiatry, 49, 256-66.e662.
Ozonoff, S., Young, G.S., Belding, A., Hill, M., Hill, A., Hutman, T., … & Iosif, A.-M. (2014). The broader autism phenotype in infancy: when does it emerge? Journal of the American Academy of Child and Adolescent Psychiatry, 53, 398-407.e2.
Sacrey, L.-A., Zwaigenbaum, L., Bryson, S., Brian, J., Smith, I.M., Raza, S., … & Garon, N. (2019). Developmental trajectories of adaptive behavior in autism spectrum disorder: A high-risk sibling cohort. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 60, 697-706.
Sparrow, S., Balla, D., & Cicchetti, D. (1984). Vineland Adaptive Behavior Scales. Circle Pines: American Guidance Service.
Talbott, M.R., & Miller, M.R. (2020). Future Directions for infant identification and intervention for autism spectrum disorder from a transdiagnostic perspective. Journal of Clinical Child and Adolescent Psychology, 49, 688-700.
Whitehouse, A.J.O., Varcin, K.J., Alvares, G.A., Barbaro, J., Bent, C., Boutrus, M., … & Hudry, K. (2019). Pre-emptive intervention versus treatment as usual for infants showing early behavioural risk signs of autism spectrum disorder: a single-blind, randomised controlled trial. Lancet Child & Adolescent Health, 3, 605-615.
Zwaigenbaum, L., Bryson, S.E., Brian, J., Smith, I.M., Sacrey, L.R., Armstrong, V. … & Roncadin, C. (2020). Assessment of autism symptoms from 6 to 18 months of age using the Autism Observation Scale for Infants in a prospective high-risk cohort. Child Development. https://doi.org/10.1111/cdev.13485
Zwaigenbaum, L., Bryson, S., Rogers, T., Roberts, W., Brian, J., & Szatmari, P. (2005). Behavioral manifestations of autism in the first year of life. International Journal of Developmental Neuroscience, 23, 143-152.

Auteurs

Lonnie Zwaigenbaum (L)

Department of Pediatrics, University of Alberta, Edmonton, AB, Canada.

Jessica Brian (J)

Department of Paediatrics, Bloorview Research Institute, University of Toronto, Toronto, ON, Canada.

Isabel M Smith (IM)

Departments of Pediatrics and Psychology and Neuroscience, IWK Health Centre, Dalhousie University, Halifax, NS, Canada.

Lori-Ann R Sacrey (LR)

Department of Pediatrics, University of Alberta, Edmonton, AB, Canada.

Martina Franchini (M)

Department of Psychiatry, University of Geneva, Geneva, Switzerland.

Susan E Bryson (SE)

Departments of Pediatrics and Psychology and Neuroscience, IWK Health Centre, Dalhousie University, Halifax, NS, Canada.

Tracy Vaillancourt (T)

Counselling Psychology, Faculty of Education, University of Ottawa, Ottawa, ON, Canada.

Vickie Armstrong (V)

Autism Research Centre, IWK Health Centre, Halifax, NS, Canada.

Eric Duku (E)

Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.

Peter Szatmari (P)

Department of Psychiatry, Centre for Addiction and Mental Health, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada.

Wendy Roberts (W)

Integrated Services for Autism and Neurodevelopmental Disorders, Toronto, ON, Canada.

Caroline Roncadin (C)

McMaster Children's Hospital Autism Program, Hamilton Health Sciences, Hamilton, ON, Canada.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH