Follow-up of children with autism spectrum disorders from age 2 to age 9

Characteristics of Individuals Losing Autism Diagnosis: A Comparative Study With Typically Developing and Autism Spectrum Disorder Individuals

AIM

This study aims to reveal the characteristics of individuals who have lost an autism spectrum disorder (ASD) diagnosis and to evaluate their current psychiatric diagnoses. Additionally, the study aims to compare individuals who have lost ASD with typically developing (TD) individuals and those with ASD in terms of current psychopathology, functionality and sociodemographic and clinical variables.

METHODS

The study included a total of 85 participants aged between 5 and 18, comprising 30 individuals who no longer meet the criteria for ASD (loss of autism diagnosis or LAD), 32 individuals with ASD and 23 TD individuals. While the sociodemographic data form and Childhood Autism Rating Scale (CARS) were completed by the clinician, the Autism Behavior Checklist (ABC) and Social Responsiveness Scale (SRS) were completed by the parents.

RESULTS

It was found that the LAD group acquired speaking skills earlier, started special education sooner, received preschool education and physical exercise support for a longer duration and exhibited higher mental capacity and lower symptom severity compared to the ASD group. Moreover, 80% of the LAD group had at least one DSM-5 diagnosis. Scores on the ABC and SRS indicated a significant difference, with ASD > LAD > TD.

CONCLUSIONS

Even if ASD regresses, individuals may still experience residual difficulties and remain at risk for other psychopathologies. Therefore, it is crucial to maintain monitoring and support processes.

The Autism Constellation and Neurodiversity: Long-Term and Adult Outcomes in Autism Spectrum Disorder

Research on autistic adults suggests significant heterogeneity in outcomes. A significant proportion of individuals struggle with intellectual disability and limited communication skills. Of the 67% who have age-appropriate cognitive skills, around half are expected to attain a college education, and 25% are likely to hold a full-time job. Outcomes have been improving over time, in part because of earlier diagnosis and earlier intervention. Indeed, an estimated 10% to 20% are expected to lose all symptoms of autism by adolescence.

Visual abilities and exploration behaviors as predictors of intelligence in autistic children from preschool to school age

LAY ABSTRACT

At the time of diagnosis, parents of autistic children frequently wonder what the future holds for their children in terms of intellectual development. It remains however difficult to answer this question at such a young age. Indeed, while early precursors of intelligence are well known for children following a typical development, these precursors remain to be identified for autistic children. Some theoretical models of intelligence suggest that perceptual abilities or behaviors, as seen early in autistic cognitive development, could be early indicators of intelligence. However, research examining the relation between early perceptual predictors and autistic intelligence over time is needed. This article is the first to consider a variety of early perceptual abilities and behaviors as precursors/predictors of intelligence at school age in autistic children. We showed that better performance in perceptual tasks at preschool age predicted better intellectual abilities measured later in autistic children. Importantly, our sample of autistic children represented the whole spectrum, including children with few to no spoken words, who are an important proportion of autistic preschoolers. While early perceptual abilities and behaviors may not substitute for a formal intellectual assessment, our results support that these indices may help estimate later intellectual level in autistic children. Perceptual abilities have the advantage to be easy to observe at preschool age and seem to fit the cognitive style of autistic children. Assessment methods could probably gain from including and focusing more on the perceptual strengths of autistic children.

Predictors of an earlier diagnosis of Autism Spectrum Disorder in children and adolescents: a systematic review (1987-2017)

Autism Spectrum Disorder (ASD) is an early onset neurodevelopmental disorder in which the first signs generally emerge at approximately 12 months of age but its diagnosis is feasible only from the age of 18 months. According to the literature, the average age of diagnosis ranges from 2.7 to 7.2 years, which raises the question of factors associated with early diagnosis as a condition for early intervention. In this systematic review, we aim to identify clinical, social, and environmental factors associated with the age at which the diagnosis of ASD is confirmed in children. A literature search was performed in the Pubmed, Web of Sciences, PsycInfo, and Cochrane databases. Among the 530 publications identified, 50 were selected according to the inclusion criteria. This review focuses on studies conducted in 21 countries using data collected over a period from 1987 to 2017. These studies were published before December 31st, 2019. The results suggest that the diagnosis of ASD occurs earlier if there is a delay in social communication or the presence of intellectual disability. There is a low level of evidence concerning associations between the age at diagnosis and sex, race, parental education, or socioeconomic status and accessibility to health care. Further studies using large and well-characterized data sets are needed to simultaneously explore clinical and socio-environmental factors involved in early diagnosis.

Advancing research on early autism through an integrated risk and resilience perspective

To date, a deficit-oriented approach dominates autism spectrum disorder (ASD) research, including studies of infant siblings of children with ASD at high risk (HR) for the disabilities associated with this disorder. Despite scientific advances regarding early ASD-related risk, there remains little systematic investigation of positive development, limiting the scope of research and quite possibly a deeper understanding of pathways toward and away from ASD-related impairments. In this paper, we argue that integrating a resilience framework into early ASD research has the potential to enhance knowledge on prodromal course, phenotypic heterogeneity, and developmental processes of risk and adaptation. We delineate a developmental systems resilience framework with particular reference to HR infants. To illustrate the utility of a resilience perspective, we consider the "female protective effect" and other evidence of adaptation in the face of ASD-related risk. We suggest that a resilience framework invites focal questions about the nature, timing, levels, interactions, and mechanisms by which positive adaptation occurs in relation to risk and developmental pathways toward and away from ASD-related difficulties. We conclude with recommendations for future research, including more focus on adaptive development and multisystem processes, pathways away from disorder, and reconsideration of extant evidence within an integrated risk-and-resilience framework.

Classification of Preschoolers with Low-Functioning Autism Spectrum Disorder Using Multimodal MRI Data

Multimodal imaging studies targeting preschoolers and low-functioning autism spectrum disorder (ASD) patients are scarce. We applied machine learning classifiers to parameters from T1-weighted MRI and DTI data of 58 children with ASD (age 3-6 years) and 48 typically developing controls (TDC). Classification performance reached an accuracy, sensitivity, and specificity of 88.8%, 93.0%, and 83.8%, respectively. The most prominent features were the cortical thickness of the right inferior occipital gyrus, mean diffusivity of the middle cerebellar peduncle, and nodal efficiency of the left posterior cingulate gyrus. Machine learning-based analysis of MRI data was useful in distinguishing low-functioning ASD preschoolers from TDCs. Combination of T1 and DTI improved classification accuracy about 10%, and large-scale multi-modal MRI studies are warranted for external validation.

Examine sex differences in autism spectrum disorder in school-aged children and adolescents with fluent language

There are noteworthy sex disparities in the prevalence of autism spectrum disorders (ASD), while findings regarding the sex differences in core symptoms are inconsistent. There are few relevant studies on sex differences in mainland China. This study was dedicated to a deeper understanding of the impact of sex differences on the clinical presentation of ASD with fluent language. We retrospectively studied 301 children with ASD (58 females) and utilized raw scores from the ADI-R and ADOS and the intelligence quotient (IQ) to measure symptomatology. Based on the Full-Scale IQ (FS-IQ), a binary split of average, above-average IQ (high-IQ), and below-average IQ (low IQ) occurs at 85. Across the entire sample, males and females are comparable in the FS-IQ, while males scored higher in the Perceptual Reasoning Index (PRI) (F = 7.812, p = 0.006). ADI-R did not find any statistically significant sex differences in the diagnostic cutoff score satisfaction or the raw domain scores. While a significant effect of sex on ADOS social affect domain scores was found in the total sample [λ = 0.970, partial η²  = 0.030, F (3,295) = 3.019, p = 0.030]. Tests of between-subjects effects revealed that males scored higher than females mainly in the ADOS reciprocal social interaction subcategory (partial η²  = 0.022, F = 6.563, p = 0.011). Stratified analysis revealed that the effect of sex on ADOS reciprocal social interaction subcategory scores only significant in the low-IQ children with ASD (partial η²  = 0.092, F = 10.088, p = 0.002). In general, overall cognitive functioning is similar across males and females with ASD, while males have a higher perceptual reasoning ability. Females with ASD are more likely to have comorbid intellectual impairment than males, and they could require additional intervention support. Autistic children with low IQs are more likely to exhibit sex differences in their core symptoms than children with high IQs. Intelligence plays a key role in sex-based differences in the core symptoms of ASD.

Separate scoring algorithms for specific identification priorities optimize the screening properties of the Screening Tool for Autism in Toddlers (STAT)

The Screening Tool for Autism in Toddlers (STAT) is a validated stage-2 autism spectrum disorder (ASD) screening measure that takes 20 minutes to administer and comprises 12 play-based items that are scored according to specific criteria. This study examines an expanded version (STAT-E) that includes the examiner's subjective ratings of children's social engagement (SE) and atypical behaviors (AB) in the scoring algorithm. The sample comprised 238 children who were 24-35 months old. The STAT-E assessors had limited ASD experience to mimic its use by community-based non-specialists, and were trained using a scalable web-based platform. A diagnostic evaluation was completed by clinical experts who were blind to the STAT-E results. Logistic regression, ROC curves, and classification matrices and metrics were used to determine the screening properties of STAT-E when scored using the original STAT scoring algorithm versus a new algorithm that included the SE and AB ratings. Inclusion of the SE and AB ratings improved positive risk classification appreciably, while the specificity declined. These results suggest that the STAT-E using the original STAT scoring algorithm optimizes specificity, while the STAT-E scoring algorithm with the two new ratings optimizes the positive risk classification. Using multiple scoring algorithms on the STAT may provide improved screening accuracy for diverse contexts, and a scalable web-based tutorial may be a pathway for increasing the number of community providers who can administer the STAT and contribute toward increased rates of autism screening.

Overall prognosis of preschool autism spectrum disorder diagnoses

BACKGROUND

Autism spectrum disorder is a neurodevelopmental disorder characterised by social communication difficulties, restricted interests and repetitive behaviours. The clinical pathway for children with a diagnosis of autism spectrum disorder is varied, and current research suggests some children may not continue to meet diagnostic criteria over time.

OBJECTIVES

The primary objective of this review was to synthesise the available evidence on the proportion of preschool children who have a diagnosis of autism spectrum disorder at baseline (diagnosed before six years of age) who continue to meet diagnostic criteria at follow-up one or more years later (up to 19 years of age).

SEARCH METHODS

We searched MEDLINE, Embase, PsycINFO, and eight other databases in October 2017 and ran top-up searches up to July 2021. We also searched reference lists of relevant systematic reviews.

SELECTION CRITERIA

Two review authors independently assessed prospective and retrospective follow-up studies that used the same measure and process within studies to diagnose autism spectrum disorder at baseline and follow-up. Studies were required to have at least one year of follow-up and contain at least 10 participants. Participants were all aged less than six years at baseline assessment and followed up before 19 years of age.

DATA COLLECTION AND ANALYSIS

We extracted data on study characteristics and the proportion of children diagnosed with autism spectrum disorder at baseline and follow-up. We also collected information on change in scores on measures that assess the dimensions of autism spectrum disorder (i.e. social communication and restricted interests and repetitive behaviours). Two review authors independently extracted data on study characteristics and assessed risk of bias using a modified quality in prognosis studies (QUIPS) tool. We conducted a random-effects meta-analysis or narrative synthesis, depending on the type of data available. We also conducted prognostic factor analyses to explore factors that may predict diagnostic outcome.

MAIN RESULTS

In total, 49 studies met our inclusion criteria and 42 of these (11,740 participants) had data that could be extracted. Of the 42 studies, 25 (60%) were conducted in North America, 13 (31%) were conducted in Europe and the UK, and four (10%) in Asia. Most (52%) studies were published before 2014. The mean age of the participants was 3.19 years (range 1.13 to 5.0 years) at baseline and 6.12 years (range 3.0 to 12.14 years) at follow-up. The mean length of follow-up was 2.86 years (range 1.0 to 12.41 years). The majority of the children were boys (81%), and just over half (60%) of the studies primarily included participants with intellectual disability (intelligence quotient < 70). The mean sample size was 272 (range 10 to 8564). Sixty-nine per cent of studies used one diagnostic assessment tool, 24% used two tools and 7% used three or more tools. Diagnosis was decided by a multidisciplinary team in 41% of studies. No data were available for the outcomes of social communication and restricted and repetitive behaviours and interests. Of the 42 studies with available data, we were able to synthesise data from 34 studies (69% of all included studies; n = 11,129) in a meta-analysis. In summary, 92% (95% confidence interval 89% to 95%) of participants continued to meet diagnostic criteria for autism spectrum disorder from baseline to follow-up one or more years later; however, the quality of the evidence was judged as low due to study limitations and inconsistency. The majority of the included studies (95%) were rated at high risk of bias. We were unable to explore the outcomes of change in social communication and restricted and repetitive behaviour and interests between baseline and follow-up as none of the included studies provided separate domain scores at baseline and follow-up. Details on conflict of interest were reported in 24 studies. Funding support was reported by 30 studies, 12 studies omitted details on funding sources and two studies reported no funding support. Declared funding sources were categorised as government, university or non-government organisation or charity groups. We considered it unlikely funding sources would have significantly influenced the outcomes, given the nature of prognosis studies.

AUTHORS' CONCLUSIONS

Overall, we found that nine out of 10 children who were diagnosed with autism spectrum disorder before six years of age continued to meet diagnostic criteria for autism spectrum disorder a year or more later, however the evidence was uncertain. Confidence in the evidence was rated low using GRADE, due to heterogeneity and risk of bias, and there were few studies that included children diagnosed using a current classification system, such as the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) or the eleventh revision of the International Classification of Diseases (ICD-11). Future studies that are well-designed, prospective and specifically assess prognosis of autism spectrum disorder diagnoses are needed. These studies should also include contemporary diagnostic assessment methods across a broad range of participants and investigate a range of relevant prognostic factors.

Emotional Prosodies Processing and Its Relationship With Neurodevelopment Outcome at 24 Months in Infants of Diabetic Mothers

Gestational diabetes mellitus (GDM) is one of the most common complications of pregnancy. Hyperglycemia of pregnancy is a risk not only for later obesity of the offspring but also do harm to their neurodevelopment from fetus. An ERP research has shown that children with autism spectrum disorder (ASD) was characterized by impaired semantic processing. In this study, we used event-related potential (ERP) to assess the procession of different emotional prosodies (happy, fearful, and angry) in neonates of diabetic mothers, compared to the healthy term infants. And to explore whether the ERP measure has potential value for the evaluation of neurodevelopmental outcome in later childhood. A total of 43 full-term neonates were recruited from the neonatology department of Peking University First Hospital from December 1, 2017 to April 30, 2019. They were assigned to infants of diabetic mothers (IDM) group (n = 23) or control group (n = 20) according to their mother's oral glucose tolerance test's (OGTT) result during pregnancy. Using an oddball paradigm, ERP data were recorded while subjects listened to deviation stimulus (20%, happy/fearful/angry prosodies) and standard stimulus (80%, neutral prosody) to evaluate the potential prognostic value of ERP indexes for neurodevelopment at 24 months of age. Results showed that 1) mismatch response (MMR) amplitudes in IDM group were lower than the control; 2) lower MMR amplitude to fearful prosody at frontal lobe was a high risk for increased Modified Checklist for Autism in Toddlers (M-CHAT) scores at 24 months. These findings suggests that hyperglycemia of pregnancy may influence the ability to process emotional prosodies in neonatal brain; it could be reflected by decreased MMR amplitude in response to fearful prosody. Moreover, the decreased MMR amplitude at the frontal lobe may indicated an increased risk of ASD.

Sex differences in age of diagnosis of autism spectrum disorder: Preliminary evidence from Uganda

This study was performed to determine (a) the age at which autism spectrum disorder (ASD) is first diagnosed in Ugandan children receiving mental health services, (b) whether age at diagnosis varies by sex and clinical presentation, and (c) the average age of ASD diagnosis in children manifesting comorbid conditions. A retrospective chart review was performed and demographic as well as clinical data were collected from children with ASD diagnoses who attended two mental health clinics in Uganda between 2014 and 2019. Descriptive statistics such as percentages, means, and standard deviations were used to summarize the data. Independent t-test was also performed to determine differences in the mean age of diagnosis between males and females. Two hundred and thirty-seven (156 males, 81 females) children with ASD were identified. The average age of ASD diagnosis was (6.9 ± 4.0) years. A statistically significant difference in age of ASD diagnosis was found between males and females (t = -2.106, p = 0.036), such that on average females received a diagnosis at least 1 year later than males. Of the 237 participants, 53.6% were identified with ASD only, 16.0% had ASD and ADHD, 10.5% were diagnosed with ASD and epilepsy, and 7.2% had a diagnosis of complex ASD. The results confirm delays in access to ASD diagnosis and suggest that females are more likely to receive a ASD diagnosis later than males within the Ugandan context. ASD awareness should be intensified to improve public or professional knowledge about ASD to enhance early identification in Uganda.

Auditory-Motor Mapping Training Facilitates Speech and Word Learning in Tone Language-Speaking Children With Autism: An Early Efficacy Study

PURPOSE

It has been reported that tone language-speaking children with autism demonstrate speech-specific lexical tone processing difficulty, although they have intact or even better-than-normal processing of nonspeech/melodic pitch analogues. In this early efficacy study, we evaluated the therapeutic potential of Auditory-Motor Mapping Training (AMMT) in facilitating speech and word output for Mandarin-speaking nonverbal and low-verbal children with autism, in comparison with a matched non-AMMT-based control treatment.

METHOD

Fifteen Mandarin-speaking nonverbal and low-verbal children with autism spectrum disorder participated and completed all the AMMT-based treatment sessions by intoning (singing) and tapping the target words delivered via an app, whereas another 15 participants received control treatment. Generalized linear mixed-effects models were created to evaluate speech production accuracy and word production intelligibility across different groups and conditions.

RESULTS

Results showed that the AMMT-based treatment provided a more effective training approach in accelerating the rate of speech (especially lexical tone) and word learning in the trained items. More importantly, the enhanced training efficacy on lexical tone acquisition remained at 2 weeks after therapy and generalized to untrained tones that were not practiced. Furthermore, the low-verbal participants showed higher improvement compared to the nonverbal participants.

CONCLUSIONS

These data provide the first empirical evidence for adopting the AMMT-based training to facilitate speech and word learning in Mandarin-speaking nonverbal and low-verbal children with autism. This early efficacy study holds promise for improving lexical tone production in Mandarin-speaking children with autism but should be further replicated in larger scale randomized studies. Supplemental Material https://doi.org/10.23641/asha.16834627.

Intellectual Profile of Children with Autism Spectrum Disorder: Identification of verbal and nonverbal subscales predicting intelligence quotient

Objectives

This study aimed to explore the intelligence quotient (IQ) profile among children with autism spectrum disorder (ASD) and identify the most important subscales that predict the IQ. The analysis of an intellectual profile with age and gender differentials and the identification of a battery of subscales of intelligence are important for clinical management of ASD among children and for facilitating placement for remedial and educational services.

Methods

Data were collected through an exploratory study of 100 children aged between three and 13 years, who were referred to the department of child health and development in Sultan Qaboos University Hospital, a tertiary hospital, in Oman between June 2016 and June 2019.

Results

Among the 100 participants of this study, 79% were male, resulting in a male–female ratio of 4:1. The mean of full-scale IQ was found to be 68.6 ± 18.1. Furthermore, the mean of nonverbal IQ (73.5 ± 17.5) was significantly higher than that of verbal IQ (65.5 ± 17.6). Finally, more than half (61%) of the children were observed to have had mild to moderate impairment in their IQ levels.

Conclusions

Age and gender showed no significant association with IQ level. The regression analysis identified nonverbal fluid reasoning, nonverbal visual-spatial processing, nonverbal working memory and verbal knowledge as the significant predictors of total IQ. The crucial dimensions of verbal and nonverbal IQ identified in this study can be used to evaluate complicated cases.

Brief Report: Perceptions of Family-Centered Care Across Service Delivery Systems and Types of Caregiver Concerns About Their Toddlers' Development

Family-centered care represents a collaborative partnership between caregivers and service providers, and is associated with positive caregiver and child outcomes. This approach may be especially important for caregivers with early concerns about autism, as service providers are often the gateway to appropriately-specialized intervention. Perceptions of family-centered care received from primary care providers (PCPs) and Part C Early Intervention (EI) providers were rated by two groups of caregivers: those concerned about autism (n = 37) and those concerned about another developmental problem (n = 22), using the Measure of Processes of Care (MPOC-20). Ratings did not differ across caregiver groups, but both groups rated EI providers significantly higher than PCPs, which may reflect systems-level differences between primary care and EI.

Augmentative and Alternative Communication Supports for Language and Literacy in Preschool: Considerations for Down Syndrome and Autism Spectrum Disorder

Children with Down syndrome and children with autism spectrum disorder have a range of speech abilities during preschool that impacts access to both language and literacy instruction. It is the responsibility of the speech-language pathologist to advocate for and provide intervention using augmentative and alternative communication (AAC) through individualized assessment. This article provides a review of the literature supporting the use of AAC during preschool for both language and literacy development in children with Down syndrome and children with autism spectrum disorder who have limited speech. A small scale exploratory report is discussed to highlight differences in early literacy skills found in children in each group. Implications for AAC intervention during preschool to support both language and literacy are discussed.

Informing Developmental Milestone Achievement for Children With Autism: Machine Learning Approach

Background

Care for children with autism spectrum disorder (ASD) can be challenging for families and medical care systems. This is especially true in low- and- middle-income countries such as Bangladesh. To improve family–practitioner communication and developmental monitoring of children with ASD, mCARE (Mobile-Based Care for Children with Autism Spectrum Disorder Using Remote Experience Sampling Method) was developed. Within this study, mCARE was used to track child milestone achievement and family sociodemographic assets to inform mCARE feasibility/scalability and family asset–informed practitioner recommendations.

Objective

The objectives of this paper are threefold. First, it documents how mCARE can be used to monitor child milestone achievement. Second, it demonstrates how advanced machine learning models can inform our understanding of milestone achievement in children with ASD. Third, it describes family/child sociodemographic factors that are associated with earlier milestone achievement in children with ASD (across 5 machine learning models).

Methods

Using mCARE-collected data, this study assessed milestone achievement in 300 children with ASD from Bangladesh. In this study, we used 4 supervised machine learning algorithms (decision tree, logistic regression, K-nearest neighbor [KNN], and artificial neural network [ANN]) and 1 unsupervised machine learning algorithm (K-means clustering) to build models of milestone achievement based on family/child sociodemographic details. For analyses, the sample was randomly divided in half to train the machine learning models and then their accuracy was estimated based on the other half of the sample. Each model was specified for the following milestones: Brushes teeth, Asks to use the toilet, Urinates in the toilet or potty, and Buttons large buttons.

Results

This study aimed to find a suitable machine learning algorithm for milestone prediction/achievement for children with ASD using family/child sociodemographic characteristics. For Brushes teeth, the 3 supervised machine learning models met or exceeded an accuracy of 95% with logistic regression, KNN, and ANN as the most robust sociodemographic predictors. For Asks to use toilet, 84.00% accuracy was achieved with the KNN and ANN models. For these models, the family sociodemographic predictors of “family expenditure” and “parents’ age” accounted for most of the model variability. The last 2 parameters, Urinates in toilet or potty and Buttons large buttons, had an accuracy of 91.00% and 76.00%, respectively, in ANN. Overall, the ANN had a higher accuracy (above ~80% on average) among the other algorithms for all the parameters. Across the models and milestones, “family expenditure,” “family size/type,” “living places,” and “parent’s age and occupation” were the most influential family/child sociodemographic factors.

Conclusions

mCARE was successfully deployed in a low- and middle-income country (ie, Bangladesh), providing parents and care practitioners a mechanism to share detailed information on child milestones achievement. Using advanced modeling techniques this study demonstrates how family/child sociodemographic elements can inform child milestone achievement. Specifically, families with fewer sociodemographic resources reported later milestone attainment. Developmental science theories highlight how family/systems can directly influence child development and this study provides a clear link between family resources and child developmental progress. Clinical implications for this work could include supporting the larger family system to improve child milestone achievement.

What categorical induction variability reveals about typical and atypical development

Categorical induction abilities are robust in typically developing (TD) preschoolers, while children with Autism Spectrum Disorders (ASD) frequently perform inconsistently on tasks asking for the transference of traits from a known category member to a new example based on shared category membership. Here, TD five-year-olds and six-year-olds with ASD participated in a categorical induction task; the TD children performed significantly better and more consistently than the children with ASD. Concurrent verbal and nonverbal tests were not significant correlates; however, the TD children's shape bias performance at two years of age was significantly positively predictive of categorical induction performance at age five. The shape bias, the tendency to extend a novel label to other objects of the same shape during word learning, appears linked with categorical induction ability in TD children, suggesting a common underlying skill and consistent developmental trajectory. Word learning and categorical induction appear uncoupled in children with ASD.

Remote Microphone System Use in Preschool Children With Autism Spectrum Disorder and Language Disorder in the Classroom: A Pilot Efficacy Study

Purpose The present pilot study aimed to provide estimates of the feasibility and efficacy of a remote microphone (RM) system as an augmentative intervention to improve the functional listening performance of preschool children with autism spectrum disorder (ASD) and language disorder. Method Eight children with ASD and language disorder participated. Efficacy of the RM system was determined by evaluating participants' functional listening performance, as measured by an observational measure in RM-off and RM-on conditions. Responses were evaluated at the individual level using an alternating conditions design. Results Adequate feasibility was demonstrated as all participants were able to complete tasks in the RM-on condition. A subset of participants showed significant improvements in their functional listening performance in the RM-on condition, as demonstrated by visual inspection and effect sizes (nonoverlapping data points and percentage of data points exceeding the mean), indicating that there may be important sources of individual differences in responses to RM use in children with ASD. Conclusion The results of this pilot study provide support for future research on RM systems to target functional listening performance in children with ASD and language disorder.

Diagnosis of Autism Spectrum Disorder Across the Lifespan

Although autism spectrum disorder (ASD) is one of the most common neurodevelopmental disorders it is also one of the most heterogeneous conditions, making identification and diagnosis complex. The importance of a stable and consistent diagnosis cannot be overstated. An accurate diagnosis is the basis for understanding the individual and establishing an individualized treatment plan. We present those elements that should be included in any assessment for ASD and describe the ways in which ASD typically manifests itself at various developmental stages. The implications and challenges for assessment at different ages and levels of functioning are discussed.

Spontaneous Expressive Language Profiles in a Clinically Ascertained Sample of Children With Autism Spectrum Disorder

Children with autism spectrum disorder (ASD) have varying degrees of language impairment across multiple domains, which may include deficits in syntactic, pragmatic, and/or semantic skills. The heterogeneity of language profiles within ASD, coupled with the limited scope of existing standardized language measures, makes a comprehensive assessment of language impairments in ASD challenging. The Observation of Spontaneous Expressive Language (OSEL) is a new measure developed to capture children's spontaneous use of language in a naturalistic setting. The current study used the OSEL to examine the patterns of spontaneous expressive language abilities of 87 clinically ascertained children with ASD from 2 to 12 years. As expected, children with ASD were significantly more impaired in their spontaneous use of language compared to typically developing peers. Syntax and narrative skills continued to increase with age from toddler to elementary school years in cross-sectional comparisons. Pragmatic skills improved form toddler to preschool years but remained stable from preschool to elementary school years. Preliminary data also demonstrated significant improvements in OSEL syntax scores over time for a subset of children followed longitudinally (n = 8). Children with ASD consistently showed more impairments in spontaneous expressive language captured on the OSEL compared to language skills measured by other more structured standardized assessments, despite moderate convergent validity among those measures. Results suggest that impairments in the spontaneous and functional use of expressive language persist into middle childhood for many children with ASD, and a comprehensive assessment approach can lead to more precisely targeted treatment addressing specific language profiles. LAY SUMMARY: This study aimed to examine the variable language profiles in children with ASD. Children with ASD were shown to have impairments in the structure, meaning, and social use of language. These challenges were captured best by a measure that was created to assess the spontaneous use of language in a naturalistic environment. The results of this study emphasize the importance of a comprehensive assessment of language in ASD to inform treatment. Autism Res 2021, 14: 720-732. © 2020 International Society for Autism Research and Wiley Periodicals LLC.

Is the Progress of Children with ASD in a Behavioural Therapy Programme Influenced by Parents’ Hyper-Systemizing?

"Background. In an attempt to find genetic explanations for the heterogeneous characteristics of autistic patients, research has shown that parents of autistic children are more likely than parents of neurotypical children to exhibit autistic-like characteristics, meeting the criteria for the so-called “broad autism phenotype” . Subclinical autistic traits have been identified in the families of children with ASD, in both fathers and mothers, but the way in which specific parental phenotypes influence the child’s pathology remains unclear. Methods. This study aimed to analyse the progress that a group of children with Autism Spectrum Disorders (ASD) have made during a behavioural therapy programme and the way their evolution has been influenced by the parents’ systemizing level. 52 participants (aged 2 to 5 years old) diagnosed with an Autism Spectrum Disorder and both of their parents were included in the study. The severity of ASD symptomatology was assessed using the ADOS-G instrument, at the beginning of the study (T0) and after one year of behavioural therapy as well (T1), while the parents’ systemizing level was evaluated using the self-report Systemizing Quotient (SQ). Results. The ADOS-G scores showed a significant improvement after one year of therapy in both Communication and Social Interaction domains. Only the fathers` systemizing level (SQF) had a significant effect on the ADOS-G scores after one year of therapy, with greater improvements reported for children having fathers with higher SQF scores. Conclusion. The significance of these findings is discussed in relation to the empathizing-systemizing (E-S) theory. We consider that it’s particularly important to continue investigating the way that specific parents’ traits, including their systemizing level or their possible broad autism phenotype, can influence the severity of their children’s ASD or the outcome of the behavioural intervention."

Communication Profile of a Minimally Verbal School-Age Autistic Child: A Case Study

Purpose The present clinical focus draws on an intrinsic case study to provide a thick description of the communication profile of John, a 9-year-old minimally verbal autistic student. Method Specifically, traditional behavioral assessments, classroom video observations, and semistructured interviews were used to gather information regarding John's communication profile and potential sensory-motor differences. Results Convergent evidence indicated that John's expressive profile was characterized by single words, emergent word combinations, some conventional gestures, and a low frequency of communicative initiations. Concomitant language comprehension challenges and poor intelligibility associated with motor speech impairment were also indicated. His sensory-motor profile was marked by fine motor impairment, relative strengths in gross motor abilities, and sensory differences across visual, hearing, and tactile modalities. Conclusion Direct implications for supporting minimally verbal autistic students like John include the need to (a) consider sensory-motor influences on social interaction and (b) support flexible use of multimodal communication resources, including augmentative and alternative communication. Supplemental Material https://doi.org/10.23641/asha.12202448.

Diagnosis of Autism Spectrum Disorder Across the Lifespan

Although autism spectrum disorder (ASD) is one of the most common neurodevelopmental disorders it is also one of the most heterogeneous conditions, making identification and diagnosis complex. The importance of a stable and consistent diagnosis cannot be overstated. An accurate diagnosis is the basis for understanding the individual and establishing an individualized treatment plan. We present those elements that should be included in any assessment for ASD and describe the ways in which ASD typically manifests itself at various developmental stages. The implications and challenges for assessment at different ages and levels of functioning are discussed.

Stability of Autism Spectrum Disorder in Young Children with Diverse Backgrounds

Determining diagnostic stability of ASD, as well stability of functioning in early childhood, is relevant to prevalence, best practices for communicating early ASD diagnoses to caregivers, families' experiences, and developmental trajectories. Generalizability of findings from prior research has been limited by small and homogenous samples, short follow-up time intervals, and inconsistent diagnostic procedures. This report presents follow-up evaluations of 60 children (86.7% male, mean age: 51.3 months) with diverse backgrounds (79.7% racial/ethnic minorities) who received initial ASD diagnoses before 36 months of age (mean age: 27 months). Fifty-three children (88.3%) met diagnostic criteria for ASD at follow-up, a proportion consistent with previous studies. On average, children demonstrated significant cognitive gains and ASD symptom improvement. Clinical implications of findings are discussed.

[The prevalence of autism: genuine and imaginary]

In this review, the authors analyze the causes of the high prevalence of autism spectrum disorders (ASD) in recent decades. It is shown that the expansion of the boundaries of the 'autistic spectrum' concept led to a significant spread of data on its prevalence, depending on the time, diagnostic criteria, country and region. Stability of the diagnosis of ASD is not high and depends on the age of the child. Diagnostic practice in comorbid psychiatric disorders unfairly shifted toward ASD. At the same time, the hypothesis on the uniqueness of autistic manifestations in infancy is not convincingly confirmed. The practical aspect of the problem of the epidemiology of autism does not exclude, but on the contrary, presupposes early detection of nonspecific mental disorders followed by medical-psychological-pedagogical correction.

“I Think He Wants You to Play the Guitar:” Use of Behavioral Interpretation as a Strategy for Facilitating Peer Interaction Across Autistic and Nonautistic Peers

Purpose

The study examined the nature and potential impact of a relatively novel clinician strategy, behavioral interpretation, on peer interactions involving an autistic child.

Method

This extended qualitative analysis reviewed 49 instances of a clinician using behavioral interpretation as part of a music education program. The program was designed to facilitate peer interaction across a 7-year-old autistic child. Aaron, and 4 of his nonautistic peers from the same classroom. After reviewing the 21 video-recorded sessions, the research team selected the most salient examples of behavioral interpretation for microanalyses.

Findings

By focusing on a detailed review of the 6 most clear, concise, and compelling examples, we found that behavioral interpretation took 2 forms aimed at helping explain an unclear behavior: narrating (e.g., “I see you looking at strings”) and offering possible meanings (e.g., “I think he wants you to play guitar”). After limited exposure to behavioral interpretation, peers began displaying similar patterns of interaction that drew attention and speculation regarding Aaron's nonverbal forms of communication.

Conclusions

Behavioral interpretation, a relatively undocumented strategy in the autism literature, appeared as a feasible and promising strategy for shaping egalitarian peer interaction. Important nuances regarding the implementation and limitations of this strategy are also discussed.

What will my child's future hold? phenotypes of intellectual development in 2-8-year-olds with autism spectrum disorder

We examined phenotypes of autism spectrum disorder (ASD) based on trajectories of intellectual development from early (ages 2-3 ½) to middle (ages 5-8) childhood in a recent clinically ascertained cohort. Participants included 102 children (82 males) initially diagnosed with ASD from the Autism Phenome Project longitudinal sample. Latent class growth analysis was used to identify distinct IQ trajectories. Baseline and developmental course differences among groups were assessed using univariate techniques and repeated measures regression models, respectively. A four class model best represented the data. Using the highest posterior probability, participants were assigned to High Challenges (25.5%), Stable Low (17.6%), Changers (35.3%), and Lesser Challenges (21.6%) groups. The High Challenges and Stable Low groups exhibited persistently low IQ, although, the High Challenges group experienced declines while the Stable Low group's scores remained more constant. Changers showed IQ improvement of > 2 standard deviations. The Lesser Challenges group had IQs in the average range at both times that were about 1 standard deviation higher at T2. In summation, 75% of the participants experienced some relative improvements in intellectual and/or other areas of functioning between ages 2 and 8 years. The Changers group demonstrated the most significant IQ change that was accompanied by adaptive communication improvement and declining externalizing symptoms. Only the Lesser Challenges group showed a significant reduction in ASD symptom severity, such that by age 8, 14% of them no longer met ADOS-2 criteria for ASD. All groups showed reductions in internalizing symptoms. Intervention history was not associated with group status. Autism Res 2018, 11: 121-132. © 2017 International Society for Autism Research, Wiley Periodicals, Inc.

LAY SUMMARY

We examined how the IQs of children with autism spectrum disorder change between ages 2 and 8, and identified four patterns. Two groups exhibited persistently lower IQs. One group showed IQ increases of greater than 30 points with improved communicate abilities and declining disruptive behaviors. The final group had IQs in the average or better range at both time points, and 14% of them lost their diagnoses. Over half of the children experienced improved intellectual functioning between ages 2 and 8, whereas about 25% showed declines. Findings were not associated with intervention history.

Neurocognitive and observational markers: prediction of autism spectrum disorder from infancy to mid-childhood

Background

Prospective studies of infants at high familial risk for autism spectrum disorder (ASD) have identified a number of putative early markers that are associated with ASD outcome at 3 years of age. However, some diagnostic changes occur between toddlerhood and mid-childhood, which raises the question of whether infant markers remain associated with diagnosis into mid-childhood.

Methods

First, we tested whether infant neurocognitive markers (7-month neural response to eye gaze shifts and 14-month visual disengagement latencies) as well as an observational marker of emerging ASD behaviours (the Autism Observation Scale for Infants; AOSI) predicted ASD outcome in high-risk (HR) 7-year-olds with and without an ASD diagnosis (HR-ASD and HR-No ASD) and low risk (LR) controls. Second, we tested whether the neurocognitive markers offer predictive power over and above the AOSI.

Results

Both neurocognitive markers distinguished children with an ASD diagnosis at 7 years of age from those in the HR-No ASD and LR groups. Exploratory analysis suggested that neurocognitive markers may further differentiate stable versus lost/late diagnosis across the 3 to 7 year period, which will need to be tested in larger samples. At both 7 and 14 months, combining the neurocognitive marker with the AOSI offered a significantly improved model fit over the AOSI alone.

Conclusions

Infant neurocognitive markers relate to ASD in mid-childhood, improving predictive power over and above an early observational marker. The findings have implications for understanding the neurodevelopmental mechanisms that lead from risk to disorder and for identification of potential targets of pre-emptive intervention.

Electronic supplementary material

The online version of this article (10.1186/s13229-017-0167-3) contains supplementary material, which is available to authorized users.

Continuity and Change in Cognition and Autism Severity from Toddlerhood to School Age

This paper charted the cognitive and behavioural profiles from toddlerhood to middle childhood in 48 children diagnosed with ASD at 24-months. The Mullen Scales of Early Learning (MSEL) was administered at 24- and 48-months and the Wechsler Abbreviated Scale of Intelligence (WASI) at school age. Autism severity was derived using The Autism Diagnostic Observation Schedule (ADOS) Results: Developmental Disability/Intellectual Disability (DD/ID; Developmental Quotient <70) reduced from 64% at 24-months to 8% at outcome. Seventy-three percent of children continued to meet ADOS cut-off at school age.

CONCLUSION

Diagnoses at 24-months, appear to be reliable and stable. Further research is needed to investigate whether early identification, which provides more opportunity to access early intervention, may in turn facilitate cognitive development over time.

The etiology of autistic traits in preschoolers: a population-based twin study

BACKGROUND

Autism Spectrum Disorders (ASD) are highly heritable, but the exact etiological mechanisms underlying the condition are still unclear.

METHODS

Using a multiple rater twin design in a large sample of general population preschool twins, this study aimed to (a) estimate the contribution of genetic and environmental factors to autistic traits, controlling for the possible effects of rater bias, (b) to explore possible sex differences in etiology and (c) to investigate the discordance in autistic traits in monozygotic and same-sex dizygotic twin pairs. The Netherlands Twin Register collected maternal and paternal ratings on autistic traits from a general population of 38,798 three-year-old twins. Autistic traits were assessed with the DSM-oriented Pervasive Developmental Problems scale of the Child Behavior Check List for preschoolers (1½-5 years).

RESULTS

Mother and fathers showed high agreement in their assessment of autistic traits (r = .60-.66). Differences between children in autistic traits were largely accounted for by genetic effects (boys: 78% and girls: 83%). Environmental effects that are unique to a child also played a modest role. Environmental effects shared by children growing up in the same family were negligible, once rater bias was controlled for. While the prevalence for clinical ASD is higher in boys than in girls, this study did not find evidence for striking differences in the etiology of autistic traits across the sexes. Even though the heritability was high, 29% of MZ twin pairs were discordant for high autistic traits (clinical range vs. normal development), suggesting that despite high genetic risk, environmental factors might lead to resilience, unaffected status in the context of genetic risk, in some children.

CONCLUSIONS

It is important to focus future research on risk factors that might interplay with a genetic disposition for ASD, but also on protective factors that make a difference in the lives of children at genetic risk.

Auditory Pitch Perception in Autism Spectrum Disorder Is Associated With Nonverbal Abilities

Atypical sensory perception and heterogeneous cognitive profiles are common features of autism spectrum disorder (ASD). However, previous findings on auditory sensory processing in ASD are mixed. Accordingly, auditory perception and its relation to cognitive abilities in ASD remain poorly understood. Here, children with ASD, and age- and intelligence quotient (IQ)-matched typically developing children, were tested on a low- and a higher level pitch processing task. Verbal and nonverbal cognitive abilities were measured using the Wechsler's Abbreviated Scale of Intelligence. There were no group differences in performance on either auditory task or IQ measure. However, there was significant variability in performance on the auditory tasks in both groups that was predicted by nonverbal, not verbal skills. These results suggest that auditory perception is related to nonverbal reasoning rather than verbal abilities in ASD and typically developing children. In addition, these findings provide evidence for preserved pitch processing in school-age children with ASD with average IQ, supporting the idea that there may be a subgroup of individuals with ASD that do not present perceptual or cognitive difficulties. Future directions involve examining whether similar perceptual-cognitive relationships might be observed in a broader sample of individuals with ASD, such as those with language impairment or lower IQ.

The Early Origins of Autism

Autism spectrum disorders (ASDs) are neurodevelopmental disorders whose core features of impaired social communication and atypical repetitive behaviors and/or restrictions in range of interests emerge in toddlerhood and carry significant implications at successive stages of development. The ability to reliably identify most cases of the condition far earlier than the average age of diagnosis presents a novel opportunity for early intervention, but the availability of such an intervention is disparate across US communities, and its impact is imperfectly understood. New research may transform the clinical approach to these conditions in early childhood.

Massage efficacy in the treatment of autistic children - a literature review

Autism is one of the most serious contemporary medical problems. The causes of this disorder remain unknown however there are many hypotheses on the development of this specific symptom constellation. Autistic children have difficulties with contact establishment, they do not like to be touched and do not react to the external stimuli. Studies show that emotional, social, and cognitive development of an autistic child depends to a large extent on his/her early tactile experiences. Therefore it seems that effective treatment methods should be sought in this area. These methods include various tactile therapies, predominantly massages. The purpose of a massage is to induce physiological reactions in the body that have preventive, therapeutic, and relaxing effects. The purpose of this work was to present selected massage forms as supportive rehabilitation methods of autistic children. Massage forms were selected that show high effectiveness in relieving autism symptoms. The results of clinical studies by various authors prove that massages reduce child's anxiety, improve social communication, and favor formation of closeness and bonds with the parents thus bringing the prospects for better development of the child.

Early Characteristics of Children with ASD Who Demonstrate Optimal Progress Between Age Two and Four

Although for many children, Autism Spectrum Disorder (ASD) is a lifelong disability, a subset of children with ASD lose their diagnosis and show typical cognitive and adaptive abilities. The ages at which this transition can occur is not known, but it sometimes occurs quite early. Participants in the current study were 207 children with an ASD at age two who were reevaluated at age four. Eighty-three percent retained an ASD diagnosis at reevaluation and 9 % showed "optimal progress": clear ASD at age two but not at age four, and average cognition, language, communication and social skills at age four. Early child-level factors predicted optimal progress: diagnosis of PDD-NOS, fewer repetitive behaviors, less severe symptomatology and stronger adaptive skills.

Network over-connectivity differentiates autism spectrum disorder from other developmental disorders in toddlers: A diffusion MRI study

Advanced connectivity studies in toddlers with Autism Spectrum Disorder (ASD) are increasing and consistently reporting a disruption of brain connectivity. However, most of these studies compare ASD and typically developing subjects, thus providing little information on the specificity of the abnormalities detected in comparison with other developmental disorders (other-DD). We recruited subjects aged below 36 months who received a clinical diagnosis of Neurodevelopmental Disorder (32 ASD and 16 other-DD including intellectual disability and language disorder) according to DSM-IV TR. Structural and diffusion MRI were acquired to perform whole brain probabilistic and anatomically constrained tractography. Network connectivity matrices were built encoding the number of streamlines (D_NUM ) and the tract-averaged fractional anisotropy (D_FA ) values connecting each pair of cortical and subcortical regions. Network Based Statistics (NBS) was finally applied on the connectivity matrices to evaluate the network differences between the ASD and other-DD groups. The network differences resulted in an over-connectivity pattern (i.e., higher D_NUM and D_FA values) in the ASD group with a significance of P < 0.05. No contra-comparison results were found. The over-connectivity pattern in ASD occurred in networks primarily involving the fronto-temporal nodes, known to be crucial for social-skill development and basal ganglia, related to restricted and repetitive behaviours in ASD. To our knowledge, this is the first network-based diffusion study comparing toddlers with ASD and those with other-DD. Results indicate the detection of different connectivity patterns in ASD and other-DD at an age when clinical differential diagnosis is often challenging. Hum Brain Mapp 38:2333-2344, 2017. © 2017 Wiley Periodicals, Inc.

Disparities in the Identification and Diagnosis of Autism Spectrum Disorder in Culturally and Linguistically Diverse Populations

Early identification and intervention services play a critical role in determining the degree of communication development in children with autism spectrum disorder (ASD). However, researchers have reported that African-American and Hispanic populations are less likely to be diagnosed with ASD, often receive the initial diagnosis at later ages, and experience differences in access to services in comparison to other racial and ethnic groups. Studies have also documented lower participation rates of minorities in research studies of ASD. These differences have contributed to disparities in services for children with autism from culturally, linguistically, and economically diverse backgrounds. The purpose of this article is to discuss disparities in the identification and diagnosis of children with ASD from diverse backgrounds. It will discuss the clinical implications for speech-language pathologists (SLPs) in addressing potential barriers and strategies to facilitate services.

SYMPTOM PRESENTATIONS AND CLASSIFICATION OF AUTISM SPECTRUM DISORDER IN EARLY CHILDHOOD: APPLICATION TO THE DIAGNOSTIC CLASSIFICATION OF MENTAL HEALTH AND DEVELOPMENTAL DISORDERS OF INFANCY AND EARLY CHILDHOOD (DC:0-5)

Over the past 5 years, a great deal of information about the early course of autism spectrum disorder (ASD) has emerged from longitudinal prospective studies of infants at high risk for developing ASD based on a previously diagnosed older sibling. The current article describes early ASD symptom presentations and outlines the rationale for defining a new disorder, Early Atypical Autism Spectrum Disorder (EA-ASD) to accompany ASD in the new revision of the ZERO TO THREE Diagnostic Classification of Mental Health and Developmental Disorders of Infancy and Early Childhood (DC:0-5) (in press) alternative diagnostic classification manual. EA-ASD is designed to identify children who are 9 to 36 months of age presenting with a minimum of (a) two social-communication symptoms and (b) one repetitive and restricted behavior symptom as well as (c) evidence of impairment, with the intention of providing these children with appropriately tailored services and improving the likelihood of optimizing their development.

Research involving anxiety in non-human primates has potential implications for the assessment and treatment of anxiety in autism spectrum disorder: A translational literature review

OBJECTIVE

The purpose of this translational review (i.e. moving from basic primate research toward possible human applications) was to summarize non-human primate literature on anxiety to inform the development of future assessments of anxiety in non-verbal individuals with autism spectrum disorder (ASD).

METHODS

Systematic searches of databases identified 67 studies that met inclusion criteria. Each study was analysed and summarised in terms of (a) strategies used to evoke anxiety, (b) non-verbal behavioural indicators of anxiety and (c) physiological indicators of anxiety.

RESULTS

Eighteen strategies were used to evoke anxiety, 48 non-verbal behavioural indicators and 17 physiological indicators of anxiety were measured.

CONCLUSIONS

A number of the strategies used with non-human primates, if modified carefully, could be considered in the ongoing effort to study anxiety in individuals with ASD. Potential applications to the assessment of anxiety in humans with ASD are discussed.

Retention of autism spectrum disorder diagnosis: The role of co-occurring conditions in males and females

This study examined associations between ASD diagnosis retention and non-ASD co-occurring conditions (CoCs) by child sex. The sample included 7077 males and 1487 females who had an ASD diagnosis documented in their school or health records in a population-based ASD surveillance system for 8-year-old children. ASD diagnosis retention status was determined when an initial ASD diagnosis was not later ruled out by a community professional. We found that ASD diagnosis remains fairly stable, with only 9% of children who had an initial documented ASD diagnosis later being ruled-out. Although most of the associations between the ASD diagnosis retention status and CoCs are similar in both sexes, the co-occurrence of developmental diagnoses (e.g., intellectual disability or sensory integration disorder) was predictive of ASD diagnostic changes in males, whereas the co-occurrence of specific developmental (e.g., personal/social delay) and neurological diagnosis (e.g., epilepsy) was associated with ASD diagnostic change in females. More ASD-related evaluations and less ASD-related impairment were associated with later ASD rule outs in both sexes. Our findings highlight that CoCs can complicate the diagnostic picture and lead to an increased likelihood of ambiguity in ASD diagnosis. Using sensitive and appropriate measures in clinical practice is necessary for differential diagnosis, particularly when there are co-occurring developmental conditions.

Stability and Change in the Cognitive and Adaptive Behaviour Scores of Preschoolers with Autism Spectrum Disorder

We examined the stability of cognitive and adaptive behaviour standard scores in children with autism spectrum disorder (ASD) between diagnosis and school entry approximately age 6. IQ increased 18 points in 2-year-olds, 12 points in 3-year-olds, and 9 points in 4-year-olds (N = 281). Adaptive behaviour scores increased 4 points across age groups (N = 289). At school entry, 24 % of children met criteria for intellectual disability (cognitive and adaptive behaviour scores <70). No children with both scores ≥70 at diagnosis later met criteria for intellectual disability. Outcomes were more variable for children with initial delays in both areas (in 57 %, both scores remained <70). Findings are relevant to clinical decision-making, including specification of intellectual disability in young children with ASD.

Stability and change in autism spectrum disorder diagnosis from age 3 to middle childhood in a high-risk sibling cohort

Considerable evidence on autism spectrum disorder emergence comes from longitudinal high-risk samples (i.e. younger siblings of children with autism spectrum disorder). Diagnostic stability to age 3 is very good when diagnosed as early as 18-24 months, but sensitivity is weaker, and relatively little is known beyond toddlerhood. We examined stability and change in blinded, clinical best-estimate diagnosis from age 3 to middle childhood (mean age = 9.5 years) in 67 high-risk siblings enrolled in infancy. Good agreement emerged for clinical best-estimate diagnoses (89.6% overall; kappa = 0.76, p < 0.001, 95% confidence interval = 0.59-0.93). At age 3, 18 cases (26.9%) were classified with "autism spectrum disorder": 17 retained their autism spectrum disorder diagnosis (94.4%; 13 boys, 4 girls) and 1 no longer met autism spectrum disorder criteria at follow-up. Among "non-autism spectrum disorder" cases at age 3, 43/49 remained non-autism spectrum disorder at follow-up (87.8%; 22 boys, 21 girls) and 6/49 met lower autism symptomatology criteria ("Later-Diagnosed"; 3 boys, 3 girls). Later-diagnosed cases had significantly lower autism spectrum disorder symptomatology and higher receptive language at age 3 and trends toward lower autism symptoms and higher cognitive abilities at follow-up. Emerging developmental concerns were noted in all later-diagnosed cases, by age 3 or 5. High-risk children need to be followed up into middle childhood, particularly when showing differences in autism-related domains.