ABSTRACT
The Autism Diagnostic Observation Schedule (ADOS) is a semi-structured, standardized assessment designed for use in diagnostic evaluation of individuals with suspected autism spectrum disorder (ASD). The ADOS has been effective in categorizing children who definitely have autism or not, but has lower specificity and sometimes sensitivity for distinguishing children with milder ASDs. Revised ADOS algorithms have been recently developed. The goals of this study were to analyze the predictive validity of different ADOS algorithms for module 3, in particular for high-functioning autism spectrum disorder. The participants were 252 children and adolescents aged between four and 16 years, with a full-scale IQ above 70 (126 with a diagnosis of ASD, 126 with a heterogeneous non-spectrum diagnosis). As a main finding, sensitivity was substantially higher for the newly developed 'revised algorithm', both for autism versus non-spectrum, as well as for the broader ASD versus non-spectrum, using the higher cut-off. The strength of the original algorithm lies in its positive predictive power, while the revised algorithm shows weaknesses in specificity for non-autism ASD. As the ADOS is valid and reliable even for higher functioning ASD, the findings of the present study have been used to make recommendations regarding the best use of ADOS algorithms in a high-functioning sample.
Subject(s)
Algorithms , Child Development Disorders, Pervasive/diagnosis , Psychometrics/methods , Adolescent , Child , Child, Preschool , Female , Humans , Male , Predictive Value of Tests , ROC Curve , Sensitivity and SpecificityABSTRACT
There is an ongoing debate whether a differentiation of autistic subtypes, especially between Asperger Syndrome (AS) and high-functioning-autism (HFA) is possible and if so, whether it is a categorical or dimensional one. The aim of this study was to examine the possible clustering of responses in different symptom domains without making any assumption concerning diagnostic appreciation. About 140 children and adolescents, incorporating 52 with a diagnosis of AS, 44 with HFA, 8 with atypical autism and 36 with other diagnoses, were examined. Our study does not support the thesis that autistic disorders are discrete phenotypes. On the contrary, it provides evidence that e.g. AS and autism are not qualitatively distinct disorders, but rather different quantitative manifestations of the same disorder.
Subject(s)
Asperger Syndrome/classification , Child Development Disorders, Pervasive/classification , Adaptation, Psychological , Adolescent , Asperger Syndrome/diagnosis , Asperger Syndrome/psychology , Autistic Disorder/classification , Autistic Disorder/diagnosis , Autistic Disorder/psychology , Child , Child Development Disorders, Pervasive/diagnosis , Child Development Disorders, Pervasive/psychology , Female , Humans , Male , Psychiatric Status Rating Scales , Psychological Tests , Social Behavior , Young AdultABSTRACT
The dimensional structure of higher functioning autism phenotype was investigated by factor analysis. The goal of this study was to identify the degree to which early symptoms of autism (measured using the ADI-R) could be predictive of the current symptoms of autism as identified using the ADOS, the adaptive behavior scales, IQ scores and theory of mind scores. Participants included 140 subjects with Full Scale IQ > 70 (104 with autism spectrum diagnosis, 36 with non autism diagnosis, age range 6-24). For the early development as well as for the current presentation a multi-factor solution was found. In line with other studies we found that the social interaction and communication domains are closely related to one factor namely: Social communication. An additional factor implies anxious and compulsive behavior which is associated with current social communication functioning.
