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

Early-Onset Trajectories of Emotional Dysregulation in Autistic Children

OBJECTIVE

Emotional dysregulation (ED) is a common and debilitating problem for autistic children and their families. However, little is known about early-onset patterns of dysregulation, associated risk factors, and child and family outcomes. This study aimed to characterize trajectories of ED in an inception cohort of autistic preschoolers.

METHOD

Caregivers reported on ED of 396 autistic children using the Aberrant Behavior Checklist Irritability and Hyperactivity/Noncompliance subscales at 6 time points from shortly after autism spectrum disorder diagnosis (ages 2-4 years) to preadolescence (ages 10-11 years). Covariance pattern mixture modeling was used to characterize the number and shape of latent dysregulation trajectories that best fit underlying data. Child and family correlates were measured at baseline and between ages 10 and 11 years to characterize early risk factors and preadolescent profiles associated with distinct latent trajectories.

RESULTS

Three distinct trajectory classes best fit the data: persistently self-regulated (18% of sample), moderate and declining (54%), and persistently dysregulated (28%). Children classified in the persistently dysregulated trajectory lived with more depressed caregivers and in families reporting greater relationship problems and lower household incomes compared with children in lower-risk trajectories. Few associations were found with baseline child characteristics. Persistent dysregulation problems were associated with significantly worse child mental health and functional outcomes during preadolescent years.

CONCLUSION

Risk of persistent severe ED may be identifiable at the time of early autism diagnosis. Diagnostic assessments should include contextual risk factors and links to evidence-based family supports and interventions.

Developmental Skills Moderate the Association Between Core Autism Features and Adaptive Behaviour in Early Childhood

PURPOSE

While research indicates that both the core features of autism and associated developmental skills influence adaptive behaviour outcomes, results to date suggest greater influence of the latter than the former, and little attention has been given to how the interaction of both together might impact functional disability. Seeking to expand understanding of associations between young children's core social autism features, developmental skills, and functional ability/disability, we specifically tested whether early developmental skills might have a moderating effect on the association between early social features and subsequent functional disability.

METHODS

Data from 162 preschool children were available for this study. These included time-1 measures of social autism features (ADOS-Social Affect score) and developmental skills (MSEL-Developmental Quotient; DQ), and a measure of functional ability/disability (VABS-Adaptive Behaviour Composite; ABC) available at follow-up 1-year later (time-2).

RESULTS

Time-1 ADOS-SA and MSEL-DQ scores were concurrently associated with one another, and both prospectively associated with time-2 VABS-ABC scores. Examination of partial correlations (i.e., controlling for MSEL-DQ) demonstrated that the association of time-1 ADOS-SA and time-2 VABS-ABC was accounted for by shared variance with DQ. Formal moderation analysis returned a non-significant overall interaction term, but showed a lower-bound region of significance whereby the association of time-1 ADOS-SA with time-2 VABS-ABC was significant for children with baseline DQ ≤ 48.33.

CONCLUSION

Our results add to a body of empirical evidence consistent with an understanding of the needs of and resources available to autistic people through a 'cognitive compensation' lens.

Trajectory research in children with an autism diagnosis: A scoping review

LAY ABSTRACT

The types of outcomes studied in children on the autism spectrum include clinical characteristics, such as social functioning, communication, language, or autism symptoms. Research that measures these outcomes at multiple timepoints is useful to improve our understanding of what to expect as children develop. In trajectory studies, researchers assess outcomes at three or more timepoints. This method has advantages over two-timepoint studies because it allows researchers to describe changes in the speed of development, such as accelerations, plateaus, or slowdowns. We identified and reviewed 103 published trajectory studies in children (to age 18 years) with an autism diagnosis. Importantly, we did not include studies of treatments or their effects, nor did we summarize the results of studies. Instead, this review summarizes the characteristics of the available published research, including the methods used, the many different outcomes that have been studied over time and the ages over which they have been studied. This summary may be of interest to autistic people and caregivers (parents) who want to know about the existence of research that provides answers about what to expect during an autistic child's development. We have recommended that future trajectory research efforts try to make up for the lack of studies from low- and middle-income countries; that more attention is given to the following outcomes that are meaningful to caregivers and autistic people; and to try to fill in the age gaps where more outcome-specific data are needed.

The Selective Social Attention task in children with autism spectrum disorder: Results from the Autism Biomarkers Consortium for Clinical Trials (ABC-CT) feasibility study

The Selective Social Attention (SSA) task is a brief eye-tracking task involving experimental conditions varying along socio-communicative axes. Traditionally the SSA has been used to probe socially-specific attentional patterns in infants and toddlers who develop autism spectrum disorder (ASD). This current work extends these findings to preschool and school-age children. Children 4- to 12-years-old with ASD (N = 23) and a typically-developing comparison group (TD; N = 25) completed the SSA task as well as standardized clinical assessments. Linear mixed models examined group and condition effects on two outcome variables: percent of time spent looking at the scene relative to scene presentation time (%Valid), and percent of time looking at the face relative to time spent looking at the scene (%Face). Age and IQ were included as covariates. Outcome variables' relationships to clinical data were assessed via correlation analysis. The ASD group, compared to the TD group, looked less at the scene and focused less on the actress' face during the most socially-engaging experimental conditions. Additionally, within the ASD group, %Face negatively correlated with SRS total T-scores with a particularly strong negative correlation with the Autistic Mannerism subscale T-score. These results highlight the extensibility of the SSA to older children with ASD, including replication of between-group differences previously seen in infants and toddlers, as well as its ability to capture meaningful clinical variation within the autism spectrum across a wide developmental span inclusive of preschool and school-aged children. The properties suggest that the SSA may have broad potential as a biomarker for ASD.

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.

Adaptive behaviors and related factors in children and adolescents with autism spectrum disorder: Report from ELENA cohort

There are strong individual differences in adaptive behaviors (AB) in autism spectrum disorder (ASD) with conflicting results in literature about specific patterns and related factors. The present study aims to describe AB and identify related factors in terms of clinical and socio-familial characteristics in 875 children and adolescents with ASD in the multiregional ELENA cohort in France. Results showed that AB in children and adolescents with ASD were lower than in typically developing subjects, regardless of age group. AB were associated with clinical (gender, age at diagnosis, IQ, ASD severity, psychiatric comorbidities, motor and language skills, challenging behaviors), interventional (school attendance, special interventions) and familial characteristics (age, educational and socio-economic status of parents, household status, number of siblings). There is a need of interventions focusing on improvement of AB, tailored to children's characteristics.

Agreement of parent-reported cognitive level with standardized measures among children with autism spectrum disorder

Assessing cognitive development is critical in clinical research of autism spectrum disorder (ASD). However, collecting cognitive data from clinically administered assessments can add a significant burden to clinical research in ASD due to the substantial cost and time required, and it is often prohibitive in large-scale studies. There is a need for more efficient, but reliable, methods to estimate cognitive functioning for researchers, clinicians, and families. To examine the degree to which caregiver estimates of cognitive level agree with actual measured intelligence/developmental scores and understand factors that may impact that agreement, 1,555 autistic individuals (81.74% male; age 18 months-18 years) were selected from a large cohort (Simons Foundation Powering Autism Research for Knowledge, SPARK). Results suggest that querying parents about recent testing results and developmental diagnoses can provide valid and useful information on cognitive ability. The agreement of parental estimates varied with age, measured cognitive ability, autistic traits, and adaptive skills. In the context of large-scale research efforts, parent-reported cognitive impairment may be a good proxy for categorical IQ range for survey-based studies when specific IQ scores are not available, circumventing the logistical and financial obstacles of obtaining neuropsychological or neurodevelopmental testing.

IQ trajectories in autistic children through preadolescence

Background

We extended our study of trajectories of intellectual development of autistic individuals in early (mean age 3 years; T1), and middle childhood (mean age 5 years, 7 months; T2) into later middle childhood/preadolescence (mean age 11 years, 6 months; T3) in the longitudinal Autism Phenome Project cohort. Participants included 373 autistic children (115 females).

Methods

Multivariate latent class growth analysis was used to identify distinct IQ trajectory subgroups. Baseline and developmental course group differences and predictors of trajectory membership were assessed using linear mixed effects models with repeated measures with pairwise testing, multinomial logistic regression models, and sensitivity analyses.

Results

We isolated three IQ trajectories between T1 and T3 for autistic youth that were similar to those found in our prior work. These included a group with persistent intellectual disability (ID; 45%), a group with substantial increases in IQ (CHG; 39%), and a group with persistently average or above IQs (P-High; 16%). By T3, the groups did not differ in ADOS-2 calibrated severity scores (CSS), and there were no group differences between Vineland (VABS) communication scores in CHG and P-High. T1-T3 externalizing behaviors declined significantly for CHG, however, there were no significant T3 group differences between internalizing or externalizing symptoms. T1 correlates for CHG and P-High versus ID group membership included higher VABS communication and lower ADOS-2 CSS. A T1 to T2 increase in VABS communication scores and a decline in externalizing predicted CHG versus ID group membership at T3, while T1 to T2 improvement in VABS communication and reduction in ADOS-2 CSS predicted P-High versus ID group membership.

Conclusions

Autistic youth exhibit consistent IQ developmental trajectories from early childhood through preadolescence. Factors associated with trajectory group membership may provide clues about prognosis, and the need for treatments that improve adaptive communication and externalizing symptoms.

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.

Measuring the association between behavioural services and outcomes in young children with autism spectrum disorder

BACKGROUND

Children with autism spectrum disorder (ASD) receive a wide range of services.

AIMS

To examine the association between behavioural services received by children with ASD between ages 2 and 5 years and outcomes during primary school years.

METHODS

A total of 414 preschool-aged children diagnosed with ASD were enrolled at five Canadian sites and were assessed within four months of diagnosis (T1), six months later (T2), 12 months later (T3), at school entry (T4), and then annually (T5-T8) to 11 years of age. The association between the receipt of behavioural services during T1 to T3 and T8 outcomes related to adaptive behaviour and behavioural problems was modelled using linear regressions adjusted for immigrant status, family income, child's age at diagnosis, site, sex assigned at birth, and baseline (T1) outcome.

RESULTS

Children who received behavioural services during at least one time period from T1 to T3 did not have significantly different outcomes at T8 than children who did not receive any behavioural services.

IMPLICATIONS

Pre-school use of behavioural services was not found to affect outcomes during later childhood. Numerous challenges accompany studies of the association between pre-school service use and later outcomes in a heterogeneous ASD sample. Recommendations for study design are provided.

Baseline behaviour moderates movement skill intervention outcomes among young children with autism spectrum disorder

LAY ABSTRACT

It is common for children with autism spectrum disorder to experience delays in their movement skills. These skills are important for participation in play and physical activity. Previous research has found that movement skills can be improved with movement skill interventions. This study explored the behavioural factors of young children with autism spectrum disorder that make them most likely to improve their movement skills following a 12-week intervention. The study found that children with higher levels of adaptive behaviour and lower levels of emotional and behavioural challenges at the start of the intervention were more likely to have greater improvements in their movement skills following the intervention. These findings may help clinicians and caregivers plan which types of interventions are best suited for individual children with autism spectrum disorder.

Post-High School Daily Living Skills in Autism Spectrum Disorder

OBJECTIVE

Daily living skills (DLS) are a predictor of positive outcomes in youths with autism spectrum disorder (ASD), yet little is known about trajectories of DLS in adults with ASD. This study investigated the impact of high school exit on participants' trajectories of daily living skills age equivalent (DLS-AE) scores from ages 2 to 26 and the relationship between DLS-AE trajectories and employment and education outcomes.

METHOD

Participants were 98 adults with ASD drawn from an ongoing longitudinal study. The Vineland Adaptive Behavior Scales were administered 8 times from ages 2 to 26. Employment and education data were compiled from parent report demographic forms.

RESULTS

DLS-AE trajectories modestly increased with age before exiting school, at which point DLS-AE trajectories plateaued, then declined. A significant (p < .01) decrease occurred in the slope of DLS-AE trajectories following school exit. High DLS-AE scores predicted participation in postsecondary education (χ²₅ [n = 73] = 27.83, p < .001). Autism symptom severity predicted participation in employment (χ²₅ [n = 58] = 27.54, p < .001).

CONCLUSION

These findings provide evidence that DLS decline in adults with ASD, specifically after school exit, and highlight the importance of DLS in normative adult outcomes. Future work should examine the trajectories of DLS in middle and later adulthood and consider intervention targets for bolstering DLS following school exit.

Person-Oriented Research Ethics to Address the Needs of Participants on the Autism Spectrum

Research ethics scholarship often attends to vulnerability. People with autism may be vulnerable in research, but are also vulnerable to unjust exclusion from participation. Addressing the needs of participants with autism can facilitate inclusion and honor the bioethics principle of respect for persons while accounting for risk and vulnerability. Drawing from a review of the literature and informed by a moral deliberation process involving a task force of stakeholders (including autistic people and parents of autistic people), we use the model of person-oriented research ethics to identify several practical strategies researchers can use to address these needs and foster inclusion. Strategies include using multiple means of communication, addressing the sensory environment, preparing participants in advance, and accounting for social context. These practical strategies are not just methodological or design choices; they are inherently related to ethical issues. Method and design choices fulfill ethical aspirations by facilitating inclusion, reducing discomfort, and focusing on individuals.

WISC-V Profiles and Their Correlates in Children with Autism Spectrum Disorder without Intellectual Developmental Disorder: Report from the ELENA Cohort

The intellectual functioning of people with autism spectrum disorder (ASD) without intellectual developmental disorder (IDD) has not been widely studied. However, marked heterogeneity in assessment measures, samples, and results has been an obstacle for the generalization of findings. We aimed to (a) describe WISC-V intellectual functioning in a sample of children with autism spectrum disorder without intellectual developmental disorder, (b) identify WISC-V profiles, and (c) explore whether WISC-V intellectual functioning is related to ASD symptom severity and adaptive skills. Our sample consisted of 121 children from 6 to 16 years of age with ascertained ASD without an intellectual developmental disorder (IDD). The intellectual functioning of the participants was within the average range. Intra-individual analysis showed that children with ASD performed better on visual than auditory working-memory tasks. Moreover, the intellectual functioning of the participants correlated negatively with ASD symptom severity but positively with adaptive communication skills. Overall, we identified six intellectual profiles according to verbal and reasoning skills. These findings highlight the relevance of WISC-V assessment for children with ASD without an IDD to individualize intervention, especially remediation. LAY SUMMARY: This study examined WISC-V intellectual functioning in 121 children with autism spectrum disorder (ASD) without an intellectual developmental disorder (IDD). We found their intellectual functioning to be within the average, as was that of their peers with typical development (TD), and their verbal and reasoning skills were the most discriminant. In addition, the better their intellectual functioning was, the better their adaptive communication skills and the less severe their ASD symptoms. These findings highlight the relevance of WISC-V assessment in ASD to individualize early psychological remediation. Autism Res 2021, 14: 997-1006. © 2020 International Society for Autism Research, Wiley Periodicals, LLC.

Functional Communication Profiles of Children and Youth with Autism: A Roadmap to Therapeutic and Educational Interventions

BACKGROUND

Autism spectrum disorder (ASD) entails varied developmental pathways along the entire lifespan, demanding early and ongoing diverse and responsive interventions to children's needs. This study examined in situ education and development attained by children and youth with ASD in a school with a therapeutic and educational curriculum.

OBJECTIVES

(1) Construct individual communication profiles in educational and developmental aspects. (2) Examine for associations between variables. (3) Demonstrate the clinical and educational utility of including cognitive-linguistic integrative variables. (4) Showcase how the profiles guide interventions tailored to students' individual needs.

METHODS

Functional communication profiles (FCPs) of 21 students, aged 5.0-16.8 years, mostly from bilingual middle-high socioeconomic status families, were constructed with input from their educational and therapeutic staff. Students' performance was examined with an array of instruments and tasks, including person and clock drawings, false belief, and bouba-kiki metaphor screens. Qualitative and quantitative analyses were performed to uncover associations, weaknesses, and strengths.

RESULTS

The profiles revealed associations between cognitive, linguistic, social, and educational abilities, indicating that some abilities from different domains tend to co-occur.

CONCLUSIONS

Including cognitive linguistic integrative variables was a novelty that revealed additional aspects of the children's abilities. Staff feedback confirmed the utility of FCPs in providing "a roadmap" to needed individual and common curriculum adjustments.

Repetitive Behavior Severity as an Early Indicator of Risk for Elevated Anxiety Symptoms in Autism Spectrum Disorder

OBJECTIVE

A significant proportion of children with autism spectrum disorder (ASD) will develop an anxiety disorder during childhood. Restricted and repetitive behavior severity in ASD positively correlates with anxiety severity in cross-sectional surveys. The longitudinal relationship between restricted/repetitive behavior and future anxiety symptoms is unclear.

METHOD

In a longitudinal cohort of children with ASD (n = 421), restricted/repetitive behavior severity at enrollment (age 2-5 years) was categorized as "mild," "moderate," or "severe" using the Autism Diagnostic Interview-Revised. Elevated anxiety symptoms were defined by a Child Behavior Checklist (parent report) Anxiety subscale T-score of >65 at ages 8 to 11 years. Multivariable logistic regression with multiple imputation for missing data was used to examine the association between restricted/repetitive behavior severity and elevated anxiety symptoms while adjusting for age, sex, adaptive functioning, baseline anxiety, income, and parenting stress, generating adjusted odds ratios (aORs) and 95% CIs.

RESULTS

Approximately 58% of children with severe restricted/repetitive behavior at enrollment had elevated anxiety symptoms by age 11, compared to 41% of those with moderate, and 20% of those with mild restricted/repetitive behavior, respectively. Moderate and severe restricted/repetitive behavior were both associated with increased odds of elevated anxiety (moderate aOR: 2.5 [1.2-5.3]; severe aOR: 3.2 (1.4-7.5]).

CONCLUSION

Restricted/repetitive behavior severity at time of ASD diagnosis indicates risk for future anxiety symptoms. This finding increases our understanding of which children with ASD will develop anxiety disorders and may guide research concerning early interventions and etiological mechanisms.

Developmental Trajectories of Adaptive Behavior From Toddlerhood to Middle Childhood in Autism Spectrum Disorder

Longitudinal growth modeling was utilized to examine adaptive behavior over eight years across the three time points (i.e., ages 2-10). Seventy-six parents completed the Vineland Adaptive Behavior Scales interviews of adaptive behavior. Child participants completed standardized developmental testing and an executive function task in toddlerhood and the Autism Diagnostic Observation Schedule across all time points. Growth models were specified for communication, daily living skills, and socialization domains of adaptive behavior. Mental age in toddlerhood was a significant predictor of trajectories of communication, daily living skills, and socialization. Executive function and autism severity were significant predictors of socialization. Findings suggest executive function as a potential target for promoting the growth of adaptive behavior skills in addition to autism symptomology.

Helping parents choose treatments for young children with autism: A comparison of applied behavior analysis and eclectic treatments

BACKGROUND

Nurse practitioners (NPs) increasingly meet with families of young children who have been recently diagnosed with autism spectrum disorder (ASD). These families face a bewildering variety of treatment options and can benefit from working with NPs who can help them better understand those options and the likely outcomes for their children.

PURPOSE

This study describes outcomes for young children with autism, who were treated with either applied behavior analysis (ABA) or eclectic treatment. Nurse practitioners can use this information to help families choose treatments for their children.

METHODS

Children diagnosed with autism received ABA (n = 50) or eclectic treatment (n = 32). Age-appropriate assessments in a variety of domains were made before and after up to 7 years of treatment.

RESULTS

Initial scores were below normal in every domain except motor skills. Sixty percent of children had normal cognitive scores after ABA, compared with only 25% of children after eclectic treatment. Other domains also showed better outcomes after ABA than eclectic treatment.

IMPLICATIONS FOR PRACTICE

Nurse practitioners should be prepared to help families understand treatment options and their likely outcomes. The present study suggests that young children diagnosed with ASD can achieve normal levels of functioning in a variety of domains. These outcomes are much more likely after ABA than eclectic treatment.

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.

Investigating the natural history and prognostic factors of ASD in children: the multicEntric Longitudinal study of childrEN with ASD - the ELENA study protocol

INTRODUCTION

There is global concern about the increasing prevalence of autism spectrum disorders (ASDs), which are early-onset and long-lasting disorders. Although ASDs are considered to comprise a unique syndrome, their clinical presentation and outcome vary widely. Large-scale and long-term cohort studies of well-phenotyped samples are needed to better understand the course of ASDs and their determinants. The primary objective of the multicEntric Longitudinal study of childrEN with ASD (ELENA) study is to understand the natural history of ASD in children and identify the risk and prognostic factors that affect their health and development.

METHODS AND ANALYSIS

This is a multicentric, longitudinal, prospective, observational cohort in which 1000 children with ASD diagnosed between 2 and 16 years of age will be recruited by 2020 and followed over 6 years. The baseline follow-up starts with the clinical examination to establish the ASD diagnosis. A battery of clinical tools consisting of the Autism Diagnostic Observation Schedule, the revised version of the Autism Diagnostic Interview, measures of intellectual functioning, as well as large-scale behavioural and developmental measurements will allow us to study the heterogeneity of the clinical presentation of ASD subtypes. Subsequent follow-up at 18 months and at 3, 4.5 and 6 years after the baseline examination will allow us to explore the developmental trajectories and variables associated with the severity of ASD. In addition to the children's clinical and developmental examinations, parents are invited to complete self-reported questionnaires concerning perinatal and early postnatal history, congenital anomalies, genetic factors, lifestyle factors, medical and psychiatric comorbidities, and the socioeconomic environment. As of 1 November 2018, a total of 766 participants have been included.

ETHICS AND DISSEMINATION

Ethical approval was obtained through the Marseille Mediterranean Ethics Committee (ID RCB: 2014-A01423-44), France. We aim to disseminate the findings through national and international conferences, international peer-reviewed journals, and social media.

TRIAL REGISTRATION NUMBER

NCT02625116; Pre-results.

Latent trajectories of adaptive behaviour in infants at high and low familial risk for autism spectrum disorder

Background

Autism spectrum disorder (ASD) is characterised by persisting difficulties in everyday functioning. Adaptive behaviour is heterogeneous across individuals with ASD, and it is not clear to what extent early development of adaptive behaviour relates to ASD outcome in toddlerhood. This study aims to identify subgroups of infants based on early development of adaptive skills and investigate their association with later ASD outcome.

Methods

Adaptive behaviour was assessed on infants at high (n = 166) and low (n = 74) familial risk for ASD between 8 and 36 months using the Vineland Adaptive Behavior Scales (VABS-II). The four domains of VABS-II were modelled in parallel using growth mixture modelling to identify distinct classes of infants based on adaptive behaviour. Then, we associated class membership with clinical outcome and ASD symptoms at 36 months and longitudinal measures of cognitive development.

Results

We observed three classes characterised by decreasing trajectories below age-appropriate norms (8.3%), stable trajectories around age-appropriate norms (73.8%), and increasing trajectories reaching average scores by age 2 (17.9%). Infants with declining adaptive behaviour had a higher risk (odds ratio (OR) = 4.40; confidence interval (CI) 1.90; 12.98) for ASD and higher parent-reported symptoms in the social, communication, and repetitive behaviour domains at 36 months. Furthermore, there was a discrepancy between adaptive and cognitive functioning as the class with improving adaptive skills showed stable cognitive development around average scores.

Conclusions

Findings confirm the heterogeneity of trajectories of adaptive functioning in infancy, with a higher risk for ASD in toddlerhood linked to a plateau in the development of adaptive functioning after the first year of life.

Psychometric Properties of the Merrill–Palmer–Revised Scales of Development in Preschool Children With Autism Spectrum Disorder

Psychometrically sound tests of intellectual ability are indispensable for research and assessment of children with autism spectrum disorder (ASD), yet few tests have been validated for use with this population. The Merrill–Palmer–Revised Scales of Development (M-P-R) is a standardized test of intellectual ability that was validated for use with typically developing preschoolers. The current study’s aim was to investigate the criterion validity of the M-P-R for assessing cognitive skills in preschoolers with ASD ( N = 180). Good concurrent validity was demonstrated, with a large positive correlation between the M-P-R Receptive Language domain and the PLS-4 Auditory Comprehension subscale. The Cognitive domain of the M-P-R showed a medium positive correlation with later WISC-4 scores, showing acceptable predictive validity. Cognitive strengths and weaknesses assessed using the M-P-R mirrored those described for other measures, with most children obtaining higher standard scores on the Cognitive than the Receptive Language domain. An exploratory factor analysis suggested that one factor accounted for the majority of variability in M-P-R domains.

Growth mixture models of adaptive behavior in adolescents with autism spectrum disorder

This study examined growth trajectories of teacher-reported adaptive behavior in a diverse sample of adolescents with autism spectrum disorder. The participants were 244 adolescents between the ages of 14 and 21 years who were assessed at up to four time points across two and a half years of high school. Demographic variables (age, sex, race, maternal education), phenotypic characteristics (intelligence quotient, autism severity) and school factors (location of the school, school quality) were collected. Growth mixture modeling was used to identify distinct classes of growth trajectories in communication, daily living skills, and socialization domains of adaptive behavior. Two distinct classes were identified for each domain. The first class had moderately low adaptive behavior scores and demonstrated growth of adaptive behavior over time and the second class had low adaptive behavior scores and did not demonstrate change over time. Adolescents within the moderately low adaptive behavior classes were younger at enrollment in the study, had higher IQs, and lower autism symptom severity. Logistic regressions were performed, and aspects of school quality predicted the likelihood of being in the moderately low classes above and beyond autism symptoms.

Adaptive Behaviour and Cognitive Skills: Stability and Change from 7 Months to 7 Years in Siblings at High Familial Risk of Autism Spectrum Disorder

Cognitive and adaptive behaviour abilities early in life provide important clinical prognostic information. We examined stability of such skills in children at high familial risk for ASD who either met diagnostic criteria for ASD at age 7 years (HR-ASD, n = 15) or did not (HR-non-ASD, n = 24) and low-risk control children (LR, n = 37), prospectively studied from infancy. For both HR groups, cognitive skills were consistently lower across time than those of LR children. HR-ASD children showed increasing difficulties in adaptive behaviour over time compared to LR children, while the HR-non-ASD children showed no such difficulties. This pattern of change may inform our understanding of developmental profiles of HR siblings beyond core ASD symptoms.

Rapid face orienting in infants and school-age children with and without autism: Exploring measurement invariance in eye-tracking

Questions concerning the ontogenetic stability of autism have recently received increased attention as long-term longitudinal studies have appeared in the literature. Most experimental measures are designed for specific ages and functioning levels, yet developing experimental tasks appropriate for a wide range of ages and functioning levels is critical for future long-term longitudinal studies, and treatment studies implemented at different ages. Accordingly, we designed an eye-tracking task to measure preferential orienting to facial features and implemented it with groups of participants with varying levels of functioning: infants, and school-age children with and without autism. All groups fixated eyes first, revealing an early and stable orienting bias. This indicates common bias towards the eyes across participants regardless of age or diagnosis. We also demonstrate that this eye-tracking task can be used with diverse populations who range in age and cognitive functioning. Our developmental approach has conceptual implications for future work focused on task development and particularly new experimental measures that offer measurement equivalence across broad age ranges, intellectual functioning and verbal abilities.

Classifying and characterizing the development of adaptive behavior in a naturalistic longitudinal study of young children with autism

Background

Adaptive behavior, or the ability to function independently in ones’ environment, is a key phenotypic construct in autism spectrum disorder (ASD). Few studies of the development of adaptive behavior during preschool to school-age are available, though existing data demonstrate that the degree of ability and impairment associated with ASD, and how it manifests over time, is heterogeneous. Growth mixture models are a statistical technique that can help parse this heterogeneity in trajectories.

Methods

Data from an accelerated longitudinal natural history study (n = 105 children with ASD) were subjected to growth mixture model analysis. Children were assessed up to four times between the ages of 3 to 7.99 years.

Results

The best fitting model comprised two classes of trajectory on the Adaptive Behavior Composite score of the Vineland Adaptive Behavior Scale, Second Edition—a low and decreasing trajectory (73% of the sample) and a moderate and stable class (27%).

Conclusions

These results partially replicate the classes observed in a previous study of a similarly characterized sample, suggesting that developmental trajectory may indeed serve as a phenotype. Further, the ability to predict which trajectory a child is likely to follow will be useful in planning for clinical trials.

Electronic supplementary material

The online version of this article (10.1186/s11689-017-9222-9) contains supplementary material, which is available to authorized users.

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.

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.

Variation in the Early Trajectories of Autism Symptoms Is Related to the Development of Language, Cognition, and Behavior Problems

OBJECTIVE

The objectives of this study were to model more homogeneous subgroups within autism spectrum disorder (ASD) based on early trajectories of core symptoms; and to further characterize these subgroups in terms of trajectories of language, cognition, co-occurring (attention-deficit/hyperactivity disorder [ADHD]-related) traits and clinical outcome diagnosis.

METHOD

Children (N = 203) referred for possible ASD at ages 1 to 4 years were assessed at three time points at intervals ranging from 9 months to 3 years. Assessments included standardized measures for ASD (Autism Diagnostic Observation Schedule [ADOS]), language (ADOS-language item), nonverbal IQ (NV-IQ; different tests adequate to chronological/mental age), and parent-reported behavioral problems (Infant-Toddler Social and Emotional Assessment, Child Behavior Checklist).

RESULTS

Latent-class growth curve analysis with ADOS total scores led to the identification of three main stable and two small improving groups: a severe-stable group (19.5% of sample)-the only group without considerable language improvement-showed persistent low NV-IQ and marked increase in attention problems over time; a moderate-stable group (21.7%) with below-average increasing NV-IQ; and a mild-stable group (48%) with stable-average NV-IQ and the highest scores on ADHD-related traits, whose ASD outcome diagnoses increased despite stable-low ASD scores. Two groups (each 5.4%) improved: one moved from severe to moderate ASD scores, and the other moved from moderate to mild/nonspectrum scores. Both of these groups improved on language, NV-IQ, and ADHD-related traits.

CONCLUSION

Results support the high stability of ASD symptoms into various severity levels, but also highlight the significant contribution of non-ASD domains in defining and explaining the different ASD trajectories.

Examining the phenotypic heterogeneity of early autism spectrum disorder: subtypes and short-term outcomes

BACKGROUND

Phenotypic heterogeneity among toddlers presenting with ASD symptoms complicates diagnostic considerations and limits our ability to predict long-term outcomes. To address this concern, we sought to identify more homogeneous subgroups within ASD based on toddlers' clinical profiles in the second year of life, evaluating diagnostic stability and clinical outcomes within the subgroups 1-2 years later.

METHODS

One hundred toddlers referred for suspected ASD underwent comprehensive assessments at 22 months (SD = 3) and 37 months (SD = 4). At 22 months, they were clustered based on symptom severity, developmental skills, and adaptive functioning. Diagnostic stability and clinical outcomes were evaluated within the clusters.

RESULTS

Four clusters characterized by distinct clinical profiles at the time of the first diagnosis were identified. Diagnostic stability was excellent in 3 out of 4 clusters (93%-100%) and was lowest in the initially least affected cluster (85%). Autism symptom severity was stable, except for one group where it increased over time (16% of the sample). A large proportion of toddlers showed significant improvements in verbal and communication skills. Only a small group (17%) exhibited very low levels of functioning and limited gains over time.

CONCLUSIONS

Diagnostic stability and developmental progression from the second to third year of life in toddlers with ASD vary depending on their initial early profiles of relative strengths and deficits. Although a small minority of toddlers with more complex clinical presentations may not retain their diagnoses by the age of three, most children continue to exhibit symptoms of autism. Despite limited improvements in symptom severity, many children show significant gains in verbal functioning. Only a small proportion of children (17%) exhibit very limited gains despite intensive intervention. These findings support continued efforts to examine determinants of developmental trajectories including factors mediating and moderating response to treatment.