Search

Parents of children with ASD (N = 86; mean age 44.8 months; 67 boys) were randomized to either WHO Caregiver Skills Training (CST) delivered in public health settings in Italy or enhanced treatment-as-usual. Primary blinded outcomes were 3-months post-intervention change scores of autism severity and engagement during caregiver-child interaction. CST was highly acceptable to caregivers and feasibly delivered by trained local clinicians. Intention-to-treat analysis showed a large and significant effect on parent skills supporting joint engagement and a smaller significant effect on flow of interaction. Expected changes in child autism severity and joint engagement did not meet statistical significance. Analysis of secondary outcomes showed a significant effect on parenting stress, self-efficacy, and child gestures. Strategies to improve the effectiveness of CST are discussed.

Aim We hypothesized that participant well‐being and satisfaction with services would be positively associated with a satisfactory clinical course during transition from child to adult health care. Methods Some 150 young people with Type 1 diabetes mellitus from five diabetes units in England were recruited to a longitudinal study of transition. Each young person was visited at home four times by a research assistant; each visit was 1 year apart. Satisfaction with services (Mind the Gap; MTG) and mental well‐being (Warwick–Edinburgh Mental Well‐being Scale; WEMWBS) were captured. Change in HbA1c, episodes of ketoacidosis, clinic and retinal screening attendance were used to assess clinical course. In total, 108 of 150 (72%) young people had sufficient data for analysis at visit 4. Results Mean age at entry was 16 years. By visit 4, 81.5% had left paediatric healthcare services. Median HbA1c increased significantly (P = 0.01) from 69 mmol/mol (8.5%) at baseline to 75 mmol/mol (9.0%) at visit 4. WEMWBS scores were comparable with those in the general population at baseline and were stable over the study period. MTG scores were also stable. By visit 4, some 32 individuals had a ‘satisfactory’ and 76 a ‘suboptimal’ clinical course. There were no significant differences in average WEMWBS and MTG scores between the clinical course groups (P = 0.96, 0.52 respectively); nor was there a significant difference in transfer status between the clinical course groups. Conclusions The well‐being of young people with diabetes and their satisfaction with transition services are not closely related to their clinical course. Investigating whether innovative psycho‐educational interventions can improve the clinical course is a research priority., What's new? Well‐being and satisfaction with services were stable during a 3‐year longitudinal study of young people with Type 1 diabetes mellitus in transition to adult services.Well‐being and satisfaction with services were not related to HbA1c or the more general clinical course.Further work is needed to identify innovative and effective psycho‐educational interventions to improve the clinical course.

Background and aims Despite recent gains in the amount and quality of early autism intervention research, identifying what works for whom remains an ongoing challenge. Exploiting data from the Preschool Autism Communication Trial (PACT), we undertook secondary analysis to explore prognostic indicators and predictors of response to one year of PACT therapy versus treatment as usual within this large and rigorously characterised cohort recruited across three UK trial sites. Methods In this secondary analysis of variability in child gains on the primary trial outcome measure – social-communication symptom severity – we used a pragmatic and data-driven approach to identify a subgroup of children who showed reliable improvement and a subgroup showing clear lack thereof. We then tested which among several baseline child and family factors – including measures routinely collected in research trials and clinical practice – varied as a function of child outcome status and treatment group. Results Greater baseline child non-verbal ability was a significant prognostic indicator of symptom reduction over time (i.e. irrespective of treatment group). By contrast, parent synchrony presented as marginal predictor, and trial recruitment site as a significant predictor, of differential outcome by treatment group. Specifically, lower parent synchrony showed some association with poorer outcomes for children from families assigned to treatment as usual (but with no such effect for those assigned to PACT). Similarly, children at one recruitment site were more likely to have poorer outcomes if assigned to treatment as usual, compared to children at the same site assigned to PACT. Conclusions The current data contribute to an evidence base indicting that early non-verbal ability is a robust indicator of generally better prognosis for young children with autism. Lower parent synchrony and a broadly more deprived socio-geographical context may inform the appropriate targeting of PACT. That is, given that the former factors predicted poorer outcome in children from families assigned to treatment as usual, the receipt of a relatively low-dose, parent-mediated and communication-focused therapy might be developmentally protective for young children with autism. Nevertheless, results from this study also highlight the paucity of meaningful predictors of outcome among routine clinical characterisation measures such as those investigated here. Implications Understanding the factors associated with differential treatment outcomes is critical if we are to individualise treatment decisions for children with autism. Inherently tied to this objective is a need to delineate those factors which specifically predict positive response (or lack of response) to one or other treatment option, versus those that indicate generally better (or poorer) prognosis, irrespective of treatment.

The Spence Children’s Anxiety Scale - Parent version (SCAS-P) is often used to assess anxiety in children with autism spectrum disorder (ASD), however, little is known about the validity of the tool in this population. The aim of this study was to determine whether the SCAS-P has the same factorial validity in a sample of young people with ASD (n=285), compared to a sample of typically developing young people with anxiety disorders (n=224). Poor model fit with all of the six hypothesised models precluded invariance testing. Exploratory factor analysis indicated that different anxiety phenomenology characterises the two samples. The findings suggest that cross-group comparisons between ASD and anxious samples based on the SCAS-P scores may not always be appropriate

Background: Autism spectrum disorder can in some cases be reliably diagnosed by age 2years, but in community settings, the mean age at diagnosis is often considerably higher. Later diagnosis has been found to be associated with lower symptom severity, lower parental socioeconomic status and fewer parental concerns. Gender differences in age at diagnosis have been examined, with mixed evidence. Methods: We examined the association of child's verbal ability and gender, and parental education, with age at diagnosis in a large sample of young children with autism spectrum disorder in 18 European countries (n=1410). Results: There was considerable variation in age at diagnosis across countries. Children with better communication skills were diagnosed significantly later than non-verbal and minimally verbal children. There was also a significant interaction of gender with verbal ability on age at diagnosis, in that female children with complex phrase speech were diagnosed later than male children with the same level of verbal ability. Conclusions: Our findings highlight the need to implement public awareness initiatives and training for professionals to promote early detection and, consequently, early intervention for autism spectrum disorder in Europe. Copyright

Research groups across Europe have been networking to share information and ideas about research on preschool children with autism. The paper describes preliminary work to develop capacity for future multi-site randomized controlled trials of early intervention, with a specific focus on the need to measure treatment adherence where parents deliver therapy. The paper includes a review of randomized and controlled studies of parent-mediated early intervention from two sources, a recent Cochrane Collaboration review and a mapping of European early intervention studies in autism published since 2002. The data extracted focused on methods for describing parent adherence, that is, how and to what extent parents carry out the strategies taught them by therapists. Less than half of the 32 studies reviewed included any measure of parent adherence. Only seven included a direct assessment method. The challenges of developing pan-European early intervention evaluation studies are discussed, including choice of intervention model and of important outcomes, the need for translation of measurement tools and achievement of joint training to reliability of assessors. Measurement of parent-child interaction style and of adherence to strategies taught need further study.

Individuals with autism spectrum disorders often benefit from technology-based intervention. Technologies being marketed to the autism community, and relevant published research, are proliferating. However, in the context of research in health and education, the requirement for an effective design process is not necessarily recognised. Understanding this process is necessary to facilitate recommendations about best practice in technology design and implementation where the end result is being applied in a health or education context. This report describes the development of an iPad app designed for very young children with autism. We describe methods for user-centred design with relevant stakeholders, expert evaluation and pilot testing of demo versions of the app, and their consequences for the finished game. In a final evaluation with 41 pre-schoolers with autism, average game play over a 2 month period was 11 minutes per day, with no evidence of obsessive behaviour. We discuss how this approach permits individual studies to inform the design of multiple technologies, contributing to dissemination of high standards in how therapeutic and educational technologies for specific populations are designed, pilot-tested and reported.

Background Autism spectrum disorder can in some cases be reliably diagnosed by age 2 years, but in community settings, the mean age at diagnosis is often considerably higher. Later diagnosis has been found to be associated with lower symptom severity, lower parental socioeconomic status and fewer parental concerns. Gender differences in age at diagnosis have been examined, with mixed evidence. Methods We examined the association of child's verbal ability and gender, and parental education, with age at diagnosis in a large sample of young children with autism spectrum disorder in 18 European countries (n = 1410). Results There was considerable variation in age at diagnosis across countries. Children with better communication skills were diagnosed significantly later than non-verbal and minimally verbal children. There was also a significant interaction of gender with verbal ability on age at diagnosis, in that female children with complex phrase speech were diagnosed later than male children with the same level of verbal ability. Conclusions Our findings highlight the need to implement public awareness initiatives and training for professionals to promote early detection and, consequently, early intervention for autism spectrum disorder in Europe.

Autism spectrum disorder (ASD) is a highly heritable disorder of complex and heterogeneous aetiology. It is primarily characterized by altered cognitive ability including impaired language and communication skills and fundamental deficits in social reciprocity. Despite some notable successes in neuropsychiatric genetics, overall, the high heritability of ASD (90%) remains poorly explained by common genetic risk variants. However, recent studies suggest that rare genomic variation, in particular copy number variation, may account for a significant proportion of the genetic basis of ASD. We present a large scale analysis to identify candidate genes which may contain low-frequency recessive variation contributing to ASD while taking into account the potential contribution of population differences to the genetic heterogeneity of ASD. Our strategy, homozygous haplotype (HH) mapping, aims to detect homozygous segments of identical haplotype structure that are shared at a higher frequency amongst ASD patients compared to parental controls. The analysis was performed on 1,402 Autism Genome Project trios genotyped for 1 million single nucleotide polymorphisms (SNPs). We identified 25 known and 1,218 novel ASD candidate genes in the discovery analysis including CADM2, ABHD14A, CHRFAM7A, GRIK2, GRM3, EPHA3, FGF10, KCND2, PDZK1, IMMP2L and FOXP2. Furthermore, 10 of the previously reported ASD genes and 300 of the novel candidates identified in the discovery analysis were replicated in an independent sample of 1,182 trios. Our results demonstrate that regions of HH are significantly enriched for previously reported ASD candidate genes and the observed association is independent of gene size (odds ratio 2.10). Our findings highlight the applicability of HH mapping in complex disorders such as ASD and offer an alternative approach to the analysis of genome-wide association data. © The Author(s) 2011.

Recent genome-wide association studies (GWAS) have implicated a range of genes from discrete biological pathways in the aetiology of autism. However, despite the strong influence of genetic factors, association studies have yet to identify statistically robust, replicated major effect genes or SNPs. We apply the principle of the SNP ratio test methodology described by O'Dushlaine et al to over 2100 families from the Autism Genome Project (AGP). Using a two-stage design we examine association enrichment in 5955 unique gene-ontology classifications across four groupings based on two phenotypic and two ancestral classifications. Based on estimates from simulation we identify excess of association enrichment across all analyses. We observe enrichment in association for sets of genes involved in diverse biological processes, including pyruvate metabolism, transcription factor activation, cell-signalling and cell-cycle regulation. Both genes and processes that show enrichment have previously been examined in autistic disorders and offer biologically plausibility to these findings.

Recent genome-wide association studies (GWAS) have implicated a range of genes from discrete biological pathways in the aetiology of autism. However, despite the strong influence of genetic factors, association studies have yet to identify statistically robust, replicated major effect genes or SNPs. We apply the principle of the SNP ratio test methodology described by O'Dushlaine et al to over 2100 families from the Autism Genome Project (AGP). Using a two-stage design we examine association enrichment in 5955 unique gene-ontology classifications across four groupings based on two phenotypic and two ancestral classifications. Based on estimates from simulation we identify excess of association enrichment across all analyses. We observe enrichment in association for sets of genes involved in diverse biological processes, including pyruvate metabolism, transcription factor activation, cell-signalling and cell-cycle regulation. Both genes and processes that show enrichment have previously been examined in autistic disorders and offer biologically plausibility to these findings. © 2011 Macmillan Publishers Limited All rights reserved.

Although autism spectrum disorders (ASDs) have a substantial genetic basis, most of the known genetic risk has been traced to rare variants, principally copy number variants (CNVs). To identify common risk variation, the Autism Genome Project (AGP) Consortium genotyped 1558 rigorously defined ASD families for 1 million single-nucleotide polymorphisms (SNPs) and analyzed these SNP genotypes for association with ASD. In one of four primary association analyses, the association signal for marker rs4141463, located within MACROD2, crossed the genome-wide association significance threshold of P < 5 3 10-28. When a smaller replication sample was analyzed, the risk allele at rs4141463 was again over-transmitted; yet, consistent with the winner's curse, its effect size in the replication sample was much smaller; and, for the combined samples, the association signal barely fell below the P < 5 × 10-28 threshold. Exploratory analyses of phenotypic subtypes yielded no significant associations after correction for multiple testing. They did, however, yield strong signals within several genes, KIAA0564, PLD5, POU6F2, ST8SIA2 and TAF1C. © The Author 2010. Published by Oxford University Press. All rights reserved.

The autism spectrum disorders (ASDs) are a group of conditions characterized by impairments in reciprocal social interaction and communication, and the presence of restricted and repetitive behaviours 1. Individuals with an ASD vary greatly in cognitive development, which can range from above average to intellectual disability2. Although ASDs are known to be highly heritable ( ∼90%)3, the underlying genetic determinants are still largely unknown.Hereweanalysed the genome-wide characteristics of rare (