Differential outcome subgroups in children with autism spectrum disorder attending early intervention

Real-time coded measures in natural language samples capture change over time in minimally verbal autistic children

Prior research supports the use of natural language sampling (NLS) to assess the rate of speech utterances (URate) and the rate of conversational turns (CTRate) in minimally verbal (MV) autistic children. Bypassing time-consuming transcription, previous work demonstrated the ability to derive URate and CTRate using real-time coding methods and provided support for their strong psychometric properties. (1) Unexplored is how URate and CTRate using real-time coding methods capture change over time and (2) whether specific child factors predict changes in URate and CTRate in 50 MV autistic children (40 males; M = 75.54, SD = 16.45 (age in months)). A NLS was collected at Time 1 (T1) and Time 2 (T2) (4.5 months between T1 and T2) and coding was conducted in ELAN Linguistic Annotator software using a real-time coding approach to derive URate and CTRate. Findings from paired samples Wilcoxon tests revealed a significant increase in child URate (not examiner URate) and child and examiner CTRate from T1 to T2. Child chronological age, Mullen expressive language age equivalent scores, and URate and CTRate at T1 were predictive of URate and CTRate at T2. Findings support using NLS-derived real-time coded measures of URate and CTRate to efficiently capture change over time in MV autistic children. Identifying child factors that predict changes in URate and CTRate can help in the tailoring of goals to children's individual needs and strengths.

Age at initial diagnosis of autism spectrum disorders: a retrospective comparison of screening techniques between the southern and northwestern regions of Switzerland

AIMS

Early diagnosis of autism spectrum disorders (ASD) offers the possibility of early intervention and, in turn, gains in adaptive behaviour, language and cognition. The aim of the present study was to analyse whether age at diagnosis of autism spectrum disorders decreased in two regions of Switzerland from 2006 to 2016 following the implementation of different screening and referral techniques. In southern Switzerland, systematic paediatric screening using the Modified Checklist for Autism (M-CHAT) in toddlers was implemented in 2013, whereas in northwestern Switzerland, periodic trainings were used to increase paediatrician awareness of ASD. We investigated which method was associated with a younger average age at diagnosis.

METHODS

We conducted a retrospective, two-centre study searching clinical records of children and adolescents (aged 0-16 years) diagnosed with ASD in two neuropaediatric departments at Swiss hospitals between January 2006 and December 2016. All patients were diagnosed via a standardised evaluation based on two approved diagnostic tests: the Autism Diagnostic Observation Schedule-Second Edition (ADOS-2) and the Autism Diagnostic Interview-Revised (ADI-R).

RESULTS

In southern Switzerland, training and subsequent widespread use of the M-CHAT among paediatricians appeared to contribute to a significantly younger age at diagnosis. Age at diagnosis did not significantly decrease during the same period in northwestern Switzerland.

CONCLUSION

Our results point to the possibility of successfully reducing age at diagnosis in specific geographic areas through the implementation of screening questionnaires, such as the M-CHAT, at year 2 well-baby visits.

What is the concordance between parent- and education professional-reported adaptive functioning in autistic children using the VABS-II?

Adaptive functioning of autistic children is traditionally measured through informant-report, often from parents. Behaviour varies across settings though, and context-specific reports should be considered. Limited and inconsistent results show low parent-education professional concordance, but no research has yet explored item level response variation. We investigated Vineland Adaptive Behaviour Scales-II concordance using 233 lower ability autistic children from the PACT-G sample. Domain and item level agreement was low, but better on objectively measured behaviours. Higher child nonverbal ability improved concordance. Where disagreements occurred, education professionals identified emergent skills more and parents were more likely to rate present/absent. Parents and education professionals view the adaptive abilities of autistic children differently and both should be considered when developing personalised interventions and support.

Validation strategies for subtypes in psychiatry: A systematic review of research on autism spectrum disorder

Heterogeneity within autism spectrum disorder (ASD) is recognized as a challenge to both biological and psychological research, as well as clinical practice. To reduce unexplained heterogeneity, subtyping techniques are often used to establish more homogeneous subtypes based on metrics of similarity and dissimilarity between people. We review the ASD literature to create a systematic overview of the subtyping procedures and subtype validation techniques that are used in this field. We conducted a systematic review of 156 articles (2001-June 2020) that subtyped participants (range N of studies = 17-20,658), of which some or all had an ASD diagnosis. We found a large diversity in (parametric and non-parametric) methods and (biological, psychological, demographic) variables used to establish subtypes. The majority of studies validated their subtype results using variables that were measured concurrently, but were not included in the subtyping procedure. Other investigations into subtypes' validity were rarer. In order to advance clinical research and the theoretical and clinical usefulness of identified subtypes, we propose a structured approach and present the SUbtyping VAlidation Checklist (SUVAC), a checklist for validating subtyping results.

Which Factors Influence Teacher Report of Adaptive Functioning in Autistic Children?

A wealth of parent-report research shows adaptive functioning difficulties in autistic children, with parent-report influenced by a number of child factors. Adaptive functioning in autistic children is known to vary across settings; however, no research has yet explored factors influencing education professional-report. This study investigated the rate and profile of impairment, and child factors influencing education professional-reported adaptive skills in 248 autistic children. Twelve children were < 3 years (min age for available normative data on the adaptive function measure), so were removed from the analyses. Results replicated parent-literature; adaptive skills were negatively associated with age and informant-reported autism severity, and positively associated with nonverbal ability and expressive language. Adaptive functioning is important for real-world outcomes, e.g. educational attainment, independence, and support needs. Improving our understanding of adaptive functioning in the education context may support opportunities for shared learning and enhance personalised support .

Longitudinal Social and Communication Outcomes in Children with Autism Raised in Bi/Multilingual Environments

Globally, there are more bilingual speakers than monolingual speakers; however, scant research evidence exists regarding social communication development and outcomes for bilingual children with autism spectrum disorder (ASD). A stronger evidence base will facilitate health professionals and educators providing accurate recommendations regarding language use. This study employed a longitudinal cohort design to compare social and communication skills, at baseline and over 12 months, for 60 monolingual and 60 bilingual children with ASD receiving community based early intervention. We found few differences at intake, and no difference in the magnitude of change over 12 months for this cohort. Findings support the notion that there is no basis on which to discourage home language use with bilingual children with ASD.

Looking back and moving forward: A scoping review of research on preschool autism interventions in the field of speech-language pathology

BACKGROUND & AIMS

Speech-language pathology services are frequently accessed by families of children who have suspected or diagnosed autism. This is expected given that social communication differences are a core feature of autism. This review looked broadly at the state of research in the field of speech-language pathology and preschool autism interventions in order to identify the types of studies that could be used to inform the practices of speech-language pathologists (SLPs), and to identify gaps in the field so they can be addressed in future research. Specifically, we examined the extent of research conducted on interventions delivered (at least in part) by SLPs to preschool children with suspected or diagnosed autism, identified the range of skill development areas targeted within the studies, and explored the characteristics of the interventions (i.e., theoretical models underlying the programs, service delivery models, treatment dosage).

METHODS

A scoping review of articles published between 1980 and 2019 was conducted using the five phases outlined by the Arksey and O'Malley framework: (a) articulating the research question; (b) identifying relevant studies; (c) selecting studies; (d) charting the data; and (e) collating, summarizing, and reporting the results.

MAIN CONTRIBUTION/RESULTS

A total of 114 studies met inclusion criteria with most published since 2010 and conducted within North America. Case study or single-subject study designs were the most frequently used. Interventions delivered solely by SLPs and by multiprofessional teams that included SLPs were relatively equally represented. Across the included studies, nine skill development areas were targeted, but interventions targeting social communication, language, and augmentative communication skills made up the vast majority of studies. There was relatively even distribution of interventions informed by child-centered, clinician-directed, and hybrid models. Explicit information detailing intervention characteristics (e.g., treatment dosage, professional training of clinicians delivering the intervention) was poorly reported in many studies. For those studies providing details, there was a great deal of variability in the nature of interventions (e.g., service delivery models, SLPs' role, dosage).

CONCLUSIONS

This review revealed that research in the area of autism interventions delivered, at least in part, by SLPs has markedly increased over the past 10 years. Still, there remains a need for more research, and greater transparency detailing the nature of the interventions being investigated. The research conducted to date captures the versatility of the SLP's role within preschool autism intervention. Improved reporting and studies with strong methodological rigor focused on capturing the complex and individualized nature of interventions are needed, as are intervention studies aligned with real-world community practice.

IMPLICATIONS

This review provides a comprehensive examination of the status of research on preschool interventions delivered to children with suspected or diagnosed autism within the field of speech-language pathology. Several directions for future research are provided, as are suggestions for improving the clinical applicability of results to further the development of effective, evidence-informed policy and practice in speech-language pathology.

Application of Latent Class Analysis to Identify Subgroups of Children with Autism Spectrum Disorders who Benefit from Social Skills Training

With Latent Class Analysis applied on data of 98 children with autism spectrum disorder (ASD) (9-12 years; 17 girls) participating in social skills training (SST) in a randomized controlled trial (Dekker et al. 2019), four subgroups were detected, based on social-communicative skills before, and response patterns to training. Two subgroups improved after SST. Characterizing the subgroups based on participant and intervention characteristics showed that improvement was related to lower parent-reported perceived difficulty of social-communicative skills at start, higher verbal ability, younger age and milder symptoms of ASD and anxiety. The lowest performing non-improving subgroup participated more often in SST without parent/teacher involvement, compared to all other subgroups. Response to SST in ASD seems to vary depending on participant characteristics.

Recent Developments in Treatment Outcome Measures for Young Children With Autism Spectrum Disorder (ASD)

Significant advancements have been made in early intervention programs for children with Autism spectrum disorder (ASD). However, measuring treatment response for children with ASD is difficult due to the heterogeneity of changes in symptoms, which can be subtle, especially over a short period of time. Here we outline the challenge of evaluating treatment response with currently available measures as well as newly developed or refined measures that may be useful in clinical trials for young children with ASD. Continued development of treatment outcome measures will help the field identify and compare efficacious interventions and tailor treatments for children with ASD.

Profiles of vocalization change in children with autism receiving early intervention

Children with autism spectrum disorder (ASD) commonly present with comorbid language impairment, negatively impacting their learning and participation across settings. Addressing these needs requires a detailed understanding of their communication trajectories. In this study, we used the language environment and analysis (LENA) system to examine possible changes in children's (a) vocalizations and (b) ratio of speech to nonspeech vocalizations over a 10-month period. Data for 23 children with ASD (17M, 6F; ages 32-67 months) were analyzed, including monthly 3-hr in-class recordings and standardized measures of language, cognition, and ASD characteristics. Using hierarchical generalized linear models, we found significant time-trends for child vocalizations (P ≤ 0.001) and the vocalization ratio (P = 0.02), reflecting a waxing and waning pattern. Children with higher expressive language scores (Mullen scales of early learning, Vineland adaptive behavior scales - 2nd Ed.) and nonverbal cognition (Mullen scales of early learning), and fewer ASD characteristics (social communication questionnaire) demonstrated greater increases in the vocalization ratio over time (P values 0.04-0.01). Children with greater language and cognition difficulties were the most vocal, but produced a higher proportion of nonspeech vocalizations. The results demonstrate that significant fluctuations, as opposed to linear increases, may be observed in children with ASD receiving intervention, highlighting the value of assessment at multiple time-points. In addition, the findings highlight the need to consider both the quantity (vocalization counts) and quality (ratio of speech to nonspeech vocalizations) when interpreting LENA data, with the latter appearing to provide a more robust measure of communication. Autism Research 2019, 12: 830-842. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY ABSTRACT: In this study, we examined possible changes in speech and nonspeech vocalizations in 23 children with autism attending a comprehensive early intervention program over a 10-month period. Contrary to our expectation, we observed a waxing and waning pattern of change in children's vocalizations over time, rather than a steady increase. We also found evidence to suggest that looking at the quality of children's vocalizations (i.e., the ratio of speech to nonspeech vocalizations) provides a more accurate picture of children's development than simply looking at the quantity (i.e., how frequently they vocalize).