Classifying Autism Spectrum Disorders by ADI-R: Subtypes or Severity Gradient? / Hannah CHOLEMKERY in Journal of Autism and Developmental Disorders, 46-7 (July 2016)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 46-7 (July 2016) . - p.2327-2339 Titre : Classifying Autism Spectrum Disorders by ADI-R: Subtypes or Severity Gradient? Type de document : Texte imprimé et/ou numérique Auteurs : Hannah CHOLEMKERY, Auteur ; Juliane MEDDA, Auteur ; Thomas LEMPP, Auteur ; Christine M. FREITAG, Auteur Article en page(s) : p.2327-2339 Langues : Anglais (eng) Mots-clés : Autism Diagnostic Interview-revised  Psychometric assessment  Diagnosis  Autism spectrum disorder  Cluster analysis  DSM-5 Index. décimale : PER Périodiques Résumé : To reduce phenotypic heterogeneity of Autism spectrum disorders (ASD) and add to the current diagnostic discussion this study aimed at identifying clinically meaningful ASD subgroups. Cluster analyses were used to describe empirically derived groups based on the Autism Diagnostic Interview-revised (ADI-R) in a large sample of n = 463 individuals with ASD aged 3–21. Three clusters were observed. Most severely affected individuals regarding all core symptoms were allocated to cluster 2. Cluster 3 comprised moderate symptom severity of social communication impairments (SCI) and less stereotyped repetitive behavior (RRB). Minor SCI and relatively more RRB characterized cluster 1. This study offers support for both, a symptom profile, and a gradient model of ASD within the spectrum due to the sample included. En ligne : http://dx.doi.org/10.1007/s10803-016-2760-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=290 [article] Classifying Autism Spectrum Disorders by ADI-R: Subtypes or Severity Gradient? [Texte imprimé et/ou numérique] / Hannah CHOLEMKERY, Auteur ; Juliane MEDDA, Auteur ; Thomas LEMPP, Auteur ; Christine M. FREITAG, Auteur . - p.2327-2339. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 46-7 (July 2016) . - p.2327-2339 Mots-clés : Autism Diagnostic Interview-revised  Psychometric assessment  Diagnosis  Autism spectrum disorder  Cluster analysis  DSM-5 Index. décimale : PER Périodiques Résumé : To reduce phenotypic heterogeneity of Autism spectrum disorders (ASD) and add to the current diagnostic discussion this study aimed at identifying clinically meaningful ASD subgroups. Cluster analyses were used to describe empirically derived groups based on the Autism Diagnostic Interview-revised (ADI-R) in a large sample of n = 463 individuals with ASD aged 3–21. Three clusters were observed. Most severely affected individuals regarding all core symptoms were allocated to cluster 2. Cluster 3 comprised moderate symptom severity of social communication impairments (SCI) and less stereotyped repetitive behavior (RRB). Minor SCI and relatively more RRB characterized cluster 1. This study offers support for both, a symptom profile, and a gradient model of ASD within the spectrum due to the sample included. En ligne : http://dx.doi.org/10.1007/s10803-016-2760-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=290

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