The recently published Autism Diagnostic Observation Schedule, 2nd edition (ADOS-2) includes revised diagnostic algorithms and standardized severity scores for modules used to assess younger ...children. A revised algorithm and severity scores are not yet available for Module 4, used with verbally fluent adults. The current study revises the Module 4 algorithm and calibrates raw overall and domain totals to provide metrics of autism spectrum disorder (ASD) symptom severity. Sensitivity and specificity of the revised Module 4 algorithm exceeded 80 % in the overall sample. Module 4 calibrated severity scores provide quantitative estimates of ASD symptom severity that are relatively independent of participant characteristics. These efforts increase comparability of ADOS scores across modules and should facilitate efforts to examine symptom trajectories from toddler to adulthood.
Standardized Autism Diagnostic Observation Schedule (ADOS) scores provide a measure of autism severity that is less influenced by child characteristics than raw totals (Gotham et al. in Journal of ...Autism and Developmental Disorders, 39(5), 693–705
2009
). However, these scores combine symptoms from the Social Affect (SA) and Restricted and Repetitive Behaviors (RRB) domains. Separate calibrations of each domain would provide a clearer picture of ASD dimensions. The current study separately calibrated raw totals from the ADOS SA and RRB domains. Standardized domain scores were less influenced by child characteristics than raw domain totals, thereby increasing their utility as indicators of Social-Communication and Repetitive Behavior severity. Calibrated domain scores should facilitate efforts to examine trajectories of ASD symptoms and links between neurobiological and behavioral dimensions.
The aim of this study is to standardize Autism Diagnostic Observation Schedule (ADOS) scores within a large sample to approximate an autism severity metric. Using a dataset of 1,415 individuals aged ...2–16 years with autism spectrum disorders (ASD) or nonspectrum diagnoses, a subset of 1,807 assessments from 1,118 individuals with ASD were divided into narrow age and language cells. Within each cell, severity scores were based on percentiles of raw totals corresponding to each ADOS diagnostic classification. Calibrated severity scores had more uniform distributions across developmental groups and were less influenced by participant demographics than raw totals. This metric should be useful in comparing assessments across modules and time, and identifying trajectories of autism severity for clinical, genetic, and neurobiological research.
The objectives of this study were to model growth in anxiety and depressive symptoms from late school age through young adulthood in individuals with autism spectrum disorder (ASD) and controls with ...developmental delay (DD), and to assess relationships among internalizing growth patterns, participant characteristics, baseline predictors, and distal outcomes.
Data were collected between ages 6 and 24 years in 165 participants (n = 109 with ASD; n = 56 with nonspectrum DD), most of whom received diagnostic evaluations in both childhood and early adulthood. Questionnaires were collected approximately every 3 to 6 months between ages 9 and 24 years. Parent-rated Child Behavior Checklist (CBCL), Adult Behavior Checklist (ABCL), and Developmental Behaviour Checklist anxiety- and depression-related subscale distributions were modeled with mixed-effects Poisson models, covarying diagnosis, age, verbal IQ (VIQ), gender, and significant 2- and 3-way interactions.
Anxiety was positively associated with VIQ, and controlling for VIQ, both anxiety and depressive symptoms were greater in ASD than nonspectrum participants. Female gender predicted greater increases over time in anxiety and depressive symptoms for both diagnostic groups. Lower maternal education was associated with increasing internalizing symptoms in a subset of less verbal individuals with ASD. In exploratory post hoc analyses, internalizing symptoms were associated with poorer emotional regulation in school age, and with lower life satisfaction and greater social difficulties in early adulthood.
Findings support previous claims that individuals with ASD are at particular risk for affect- and anxiety-specific problems. Although symptom levels in females increase at a faster rate throughout adolescence, males with ASD appear to have elevated levels of depressive symptoms in school age that are maintained into young adulthood.
This study was carried out to examine the efficacy of a 12-week, low-intensity (1-hour/wk of therapist contact), parent-delivered intervention for toddlers at risk for autism spectrum disorders (ASD) ...aged 14 to 24 months and their families.
A randomized controlled trial involving 98 children and families was carried out in three different sites investigating the efficacy of a parent delivery of the Early Start Denver model (P-ESDM), which fosters parental use of a child-centered responsive interaction style that embeds many teaching opportunities into play, compared to community treatment as usual. Assessments were completed at baseline and 12 weeks later, immediately after the end of parent coaching sessions.
There was no effect of group assignment on parent-child interaction characteristics or on any child outcomes. Both groups of parents improved interaction skills, and both groups of children demonstrated progress. Parents receiving P-ESDM demonstrated significantly stronger working alliances with their therapists than did the community group. Children in the community group received significantly more intervention hours than those in the P-ESDM group. For the group as a whole, both younger child age at the start of intervention and a greater number of intervention hours were positively related to the degree of improvement in children's behavior for most variables.
Parent-implemented intervention studies for early ASD thus far have not demonstrated the large effects seen in intensive-treatment studies. Evidence that both younger age and more intervention hours positively affect developmental rates has implications for clinical practice, service delivery, and public policy.
In this paper we review the impact of DSM-III and its successors on the field of autism—both in terms of clinical work and research. We summarize the events leading up to the inclusion of autism as a ...“new” official diagnostic category in DSM-III, the subsequent revisions of the DSM, and the impact of the official recognition of autism on research. We discuss the uses of categorical vs. dimensional approaches and the continuing tensions around broad vs. narrow views of autism. We also note some areas of current controversy and directions for the future.
To plot longitudinal trajectories of autism spectrum disorder (ASD) severity from early childhood to early adolescence. In line with reported trajectories in toddlers, we hypothesize that a ...substantial minority of children will show marked changes in ASD severity over time, with "Improvers" demonstrating the highest mean baseline and rate of growth in verbal IQ (VIQ).
Patients included 345 clinic referrals and research participants with best-estimate clinical diagnoses of ASD at 1 or more time points, and repeated Autism Diagnostic Observation Schedule (ADOS), VIQ, and nonverbal IQ scores. Standardized ADOS severity scores were applied to 1026 assessments collected longitudinally between the ages of 2 and 15 (VIQ at most recent assessment: mean = 58, SD = 35). Scores were fitted for latent severity trajectory classes with and without covariates. Adaptive behavior and VIQ trajectories over time were modeled within each of the best-fit latent classes.
A 4-class model best represented the observed data. Over 80% of participants were assigned to persistent (stable) high or moderately severe classes; 2 small classes respectively increased or decreased in severity over time. Age, gender, race, and nonverbal IQ did not predict class membership; VIQ was a significant predictor. Baseline VIQ was highest in the improving and worsening classes; it increased at the greatest rate in the improving class. Adaptive behavior declined in all but the improving class, with consistent impairment in all classes.
If replicated, identified trajectory classes of ADOS severity may contribute to clinical prognosis and to subtyping samples for neurobiological and genetic research.
The topic of this special issue on secondary versus idiopathic autism allows for discussion of how different groups may come to manifest autism spectrum disorder (ASD) or ASD-like symptoms despite ...important etiological differences. A related issue is that, because many of the social communication deficits that define ASD represent a failure to acquire developmentally expected skills, these same deficits would be expected to occur to some extent in all individuals with intellectual disability (ID). Thus, regardless of etiology, ASD symptoms may appear across groups of individuals with vastly different profiles of underlying deficits and strengths. In this focused review, we consider the impact of ID on the diagnosis of ASD. We discuss behavioral distinctions between ID and ASD, in light of the diagnostic criterion mandating that ASD should
be diagnosed if symptoms are accounted for by ID or general developmental delay. We review the evolution of the autism diagnosis and ASD diagnostic tools to understand how this distinction has been conceptualized previously. We then consider ways that operationalized criteria may be beneficial for making the clinical distinction between ID with and without ASD. Finally, we consider the impact of the blurred diagnostic boundaries between ID and ASD on the study of secondary versus idiopathic ASD. Especially pertinent to this discussion are findings that a diagnosis of ID in the context of an ASD diagnosis may be one of the strongest indicators that an associated condition or specific etiological factor is present (i.e., secondary autism).
Background
Delayed, abnormal language is a common feature of autism and language therapy often a significant component of recommended treatment. However, as with other disorders with a language ...component, we know surprisingly little about the language trajectories and how varied these might be across different children. Thus, we know little about how and when language problems might resolve, whether there are periods of relative stability or lack of change and what periods might offer more favourable circumstances for intervention.
Methods
Expressive and receptive language was measured on six occasions between age 2 and 19 on a cohort of 192 children initially referred for autism. Latent class growth models were fitted to characterize the patterns of heterogeneous development.
Results
Latent class growth analysis identified seven classes. Between age 6 and 19, all classes tracked in parallel. Between ages 2 and 6, development was more heterogeneous with considerable variation in relative progress. In all groups, receptive and expressive language developed very largely in tandem.
Conclusions
The results confirmed previous analysis of children with specific language impairment where progress beyond age 6 was remarkably uniform. Greater variation was evident before this age with some groups making clearly better or worse progress compared to others. While this developmental heterogeneity may simply be a reflection of variation in preexisting and unchanging biological disposition, it may also reflect, at least in part, greater sensitivity in the early years to environments that are more or less supportive of language development. These findings contribute to the case for the importance of early intervention.
Background: The nosology of autism spectrum disorders (ASD) is at a critical point in history as the field seeks to better define dimensions of social‐communication deficits and ...restricted/repetitive behaviors on an individual level for both clinical and neurobiological purposes. These different dimensions also suggest an increasing need for quantitative measures that accurately map their differences, independent of developmental factors such as age, language level and IQ.
Method: Psychometric measures, clinical observation as well as genetic, neurobiological and physiological research from toddlers, children and adults with ASD are reviewed.
Results: The question of how to conceptualize ASDs along dimensions versus categories is discussed within the nosology of autism and the proposed changes to the DSM‐5 and ICD‐11. Differences across development are incorporated into the new classification frameworks.
Conclusions: It is crucial to balance the needs of clinical practice in ASD diagnostic systems, with neurobiologically based theories that address the associations between social‐communication and restricted/repetitive dimensions in individuals. Clarifying terminology, improving description of the core features of ASD and other dimensions that interact with them and providing more valid and reliable ways to quantify them, both for research and clinical purposes, will move forward both practice and science.