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07-08-2020 | Original Paper

Identification of Essential, Equivocal and Complex Autism by the Autism Dysmorphology Measure: An Observational Study

Auteurs: Sharmila B. Mukherjee, Neelam, Seema Kapoor, Suvasini Sharma

Gepubliceerd in: Journal of Autism and Developmental Disorders | Uitgave 5/2021

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Abstract

The Autism Dysmorphology Measure is designed for non-expert clinicians. It uses an algorithm to assess 12 body regions and categorizes Autism on the number of dysmorphic regions identified; Essential (≤ 3), Equivocal (4–5) or Complex (≥ 6). We evaluated 200 Indian children with Autism (mean age 3.7 years) in a hospital-based cross-sectional study and compared inter-group profiles. We found 31% Essential, 49% Equivocal and 20% Complex Autism. On comparing results with existing literature, it appeared that genetic ancestry and age significantly influenced dysmorphism and hence categorization. No significant differences were observed between complex and essential autism in epilepsy, severity of autism or development, as reported earlier. These shortcomings make the present tool unsuitable for use in young Indian children with Autism.
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Metagegevens
Titel
Identification of Essential, Equivocal and Complex Autism by the Autism Dysmorphology Measure: An Observational Study
Auteurs
Sharmila B. Mukherjee
Neelam
Seema Kapoor
Suvasini Sharma
Publicatiedatum
07-08-2020
Uitgeverij
Springer US
Gepubliceerd in
Journal of Autism and Developmental Disorders / Uitgave 5/2021
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI
https://doi.org/10.1007/s10803-020-04641-x

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