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Auteur NEELAM |
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Identification of Essential, Equivocal and Complex Autism by the Autism Dysmorphology Measure: An Observational Study / Sharmila B. MUKHERJEE in Journal of Autism and Developmental Disorders, 51-5 (May 2021)
[article]
Titre : Identification of Essential, Equivocal and Complex Autism by the Autism Dysmorphology Measure: An Observational Study Type de document : Texte imprimé et/ou numérique Auteurs : Sharmila B. MUKHERJEE, Auteur ; NEELAM, Auteur ; Seema KAPOOR, Auteur ; Suvasini SHARMA, Auteur Article en page(s) : p.1550-1561 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder Congenital abnormalities Dysmorphism Index. décimale : PER Périodiques Résumé : 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. En ligne : http://dx.doi.org/10.1007/s10803-020-04641-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=445
in Journal of Autism and Developmental Disorders > 51-5 (May 2021) . - p.1550-1561[article] Identification of Essential, Equivocal and Complex Autism by the Autism Dysmorphology Measure: An Observational Study [Texte imprimé et/ou numérique] / Sharmila B. MUKHERJEE, Auteur ; NEELAM, Auteur ; Seema KAPOOR, Auteur ; Suvasini SHARMA, Auteur . - p.1550-1561.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 51-5 (May 2021) . - p.1550-1561
Mots-clés : Autism spectrum disorder Congenital abnormalities Dysmorphism Index. décimale : PER Périodiques Résumé : 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. En ligne : http://dx.doi.org/10.1007/s10803-020-04641-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=445