Identifying Subgroups of Toddlers with DSM-5 Autism Spectrum Disorder Based on Core Symptoms

Male and Female Toddlers with DSM-5 Autism Spectrum Disorder have Similar Developmental Profiles and Core Autism Symptoms

Compare developmental profiles and core ASD symptom manifestation between male and female toddlers with DSM-5 ASD. Retrospective record review of 500 toddlers (79% male) at time of ASD diagnosis. There were no differences in developmental functioning between males and females. When adjusting for multiple comparisons, sex differences were only noted for sensory seeking behavior occurring at a higher frequency in females. Overall, there were no significant differences in demographic characteristics, developmental functioning, or manifestation of core ASD symptoms between males versus female toddlers at the time of DSM-5 ASD diagnosis.

Accuracy of initial diagnostic impressions of autism in toddlers and behaviors that inform these impressions

Clinicians form initial impressions about a child's diagnosis based on behavioral features, but research has not yet identified specific behaviors to guide initial diagnostic impressions. Participants were toddlers (N = 55, mean age 22.9 months) from a multi-site early detection study, referred for concern for ASD due to screening or parent/provider concern. Within 5 min of meeting a child, clinicians noted ASD or non-ASD impression, confidence in impression, and behaviors that informed their impression. These clinicians also determined final diagnoses for each child. When a child's final diagnosis was ASD (n = 35), senior clinicians formed an initial impression of ASD in 22 cases (63%) but missed 13 cases (37%). When final diagnosis was non-ASD (n = 20), senior clinicians made an initial impression of non-ASD in all cases (100%). Results were similar among junior clinicians. Senior and junior clinicians used the same behaviors to form accurate impressions of ASD and non-ASD: social reciprocity, nonverbal communication, and eye contact. Senior clinicians additionally used focus of attention when forming accurate impressions of ASD and non-ASD; junior clinicians used this behavior only when forming accurate non-ASD impressions. Clinicians' initial impressions of ASD are very likely to be consistent with final diagnoses, but initial impressions of non-ASD need follow-up. Toddlers who show all four atypical behaviors (social reciprocity, nonverbal communication, eye contact, and focus of attention) might receive expedited ASD diagnoses. However, presence of apparently typical behaviors should not rule out ASD; for some children a longer evaluation is necessary to allow for more opportunities to observe subtle social behavior.

Gastrointestinal and Sleep Issues in Toddlers With Autism Versus Other Neurodevelopmental Disorders

Neurodevelopmental disorders (NDDs) are frequently associated with gastrointestinal symptoms (GIS) and sleep issues, but there are insufficient data on the occurrence of these symptoms in young children with autism spectrum disorder (ASD) compared with other NDDs. We abstracted data on 500 children aged 18 to 36 months with ASD and 146 children aged 18 to 47 months with non-ASD NDDs to compare the frequency of these symptoms. In the overall sample, there was a high rate of GIS (46.0%) and sleep difficulties (22.6%). In age-adjusted analyses, children with non-ASD NDDs were more likely to have GIS (61.0% vs 41.6%; adjusted odds ratio [OR] = 2.35; 95% confidence interval = 1.56-3.56) and sleep difficulties (34.9% vs 19.0%; adjusted OR = 2.08; 95% confidence interval = 1.33-3.26) compared with those with ASD. These findings demonstrate the need to assess these symptoms in all young children with developmental concerns to provide appropriate guidance to their families.

Telehealth parent training for sleep disturbances in young children with autism spectrum disorder: A randomized controlled trial

BACKGROUND AND PURPOSE

Young children with autism spectrum disorder (autism) have bedtime and sleep disturbances at much higher frequency and persistency than their neurotypical counterparts. Hence, access to early, effective treatment is critical in view of the importance of sleep in early childhood. Telehealth delivery could be a means to expand access to such early treatment if efficacious. The aim of this randomized control trial (RCT) was to compare a manualized, telehealth delivered, behaviorally based sleep parent training (SPT) intervention for parents of young children with autism and sleep disturbances to a control condition, a telehealth delivered parent education program with one sleep focused session (SPE). We hypothesized that the SPT group would show more improvements on child measures of sleep outcome measures, and daytime behaviors and parent measures of stress and sense of competence. We further aimed to explore the overall feasibility of telehealth delivery of SPT and SPE.

PARTICIPANTS AND METHODS

Parents of 77 young children, ages 2-7 years, with autism and co-occurring sleep disturbances were enrolled in this study. Participants were randomized to either SPT or a comparison arm that included non-sleep related parent education except for one session. Each participant was individually administered a 5 session program delivered over 10 weeks. Outcome measures, including child sleep measures, child daytime behavior and parent stress and sense of competency were collected at weeks 5 and 10 after the baseline time point. Feasibility indicators (treatment fidelity, parent adherence, and parent attendance), and safety measures were also collected.

RESULTS

Of 77 randomized participants, data were available for 36 participants randomized to SPT and 38 participants randomized to SPE. The mean age was 3 years, 8 months. Results support the efficacy of this manualized SPT intervention for bedtime and sleep disturbances. Sleep outcome measures were significantly improved in the SPT group compared to SPE on the Modified Simonds & Parraga Sleep Questionnaire-Composite Sleep Index (MSPSQ - CSI) (p < 0.001) with a large effect size of 0.83 at week 10. Positive response to treatment, as determined from the Clinical Global Impression-Improvement scale (CGI-I) at week 10 was observed in 56% of SPT participants compared to 32% in SPE (p = 0.037). There were no significant group differences in either the ABC-I as measure of daytime behaviors or in parental stress. There were group differences in favor of SPT over SPE on the PSOC, a measure of parent sense of competency. Feasibility and safety were further demonstrated with telehealth delivery.

CONCLUSIONS

This RCT demonstrated the efficacy of a telehealth delivered parent training intervention for bedtime and sleep disturbances in young autistic children compared to an active control condition. Further, parents in SPT reported more confidence in their parenting role than those in the SPE group, but SPT did not result in overall decreases in parental stress. Telehealth delivery allowed for a much broader reach with enrolled participants from 24 states. This study supports a telehealth approach to a manualized behavioral parent mediated intervention for sleep disturbance in young autistic children and offers an alternative to in-person delivered approaches. This telehealth delivery has the potential to improve access for families who have a young autistic child with sleep disturbances. Given the small sample size, determining predictors and moderators of treatment response was not possible and should be examined in a larger trial.

Persistence of Autism Spectrum Disorder From Early Childhood Through School Age

Importance

While the prevalence of autism spectrum disorder (ASD) continues to increase and early diagnosis is emphasized, there is limited information on outcomes for children diagnosed with ASD in early childhood using contemporary diagnostic criteria.

Objectives

To determine the frequency with which children who are clinically diagnosed with ASD at 12 to 36 months of age continue to meet diagnostic criteria for ASD at 5 to 7 years of age and to evaluate whether baseline child-specific and demographic characteristics and receipt of interventions are associated with ASD persistence.

Design, Setting, and Participants

In this natural history cohort study, children who received a clinical ASD diagnosis at 12 to 36 months of age underwent a research diagnostic assessment at 5 to 7 years of age. Research assessments occurred from August 14, 2018, to January 8, 2022.

Intervention

Children received community-based interventions, and parents provided details about interventions received.

Main Outcomes and Measures

The main outcome was persistence of ASD diagnosis based on current functioning. An experienced research psychologist assigned an ASD diagnosis (present or absent) according to criteria from the Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) after the research assessment. The research assessment included administration of the Autism Diagnostic Observation Schedule-2, Autism Diagnostic Interview-Research, and a cognitive measure.

Results

Of the 213 participants diagnosed with ASD at initial clinical assessment (mean [SD] age, 24.6 [3.9] months; 177 boys [83.1%]), 79 (37.1%) did not continue to meet diagnostic criteria for ASD (nonpersistent ASD) at research assessment (mean [SD] age, 74.3 [7.1] months). All children with nonpersistent ASD had IQ of at least 70, while there was a bimodal distribution of IQ for those with persistent ASD (46 with IQ <70 and 88 with IQ ≥70). All children received some interventions, and 201 (94.4%) received ASD-specific intervention, mostly applied behavioral analysis. In a multilevel logistic regression model, the only variables associated with increased odds of being in the nonpersistent ASD group at 6 years of age were higher baseline adaptive skills (b coefficient = -0.287 [SE, 0.108]) and female sex (b = 0.239 [SE, 0.064]).

Conclusions and Relevance

The findings of this cohort study suggest that among toddlers diagnosed with ASD, baseline adaptive function and sex may be associated with persistence of ASD.

Description of Clinician-Diagnosed Regression at Time of Autism Spectrum Disorder Diagnosis in Toddlers

OBJECTIVE

Previous studies have reported varying rates of regression in children with autism spectrum disorder (ASD). We sought to (1) determine the rate of clinician-diagnosed regression for young children with ASD and (2) compare developmental functioning and ASD symptoms of children with versus without regression.

METHODS

We conducted a retrospective chart review of toddlers (age 18-36 months) with Diagnostic and Statistical Manual-5 ASD. We abstracted cognitive, language, adaptive, and motor functioning standard scores and ASD core symptoms. Regression was defined as "clinician-diagnosed regression accompanied by recommendation for a medical workup." We used propensity scores to match each participant with regression (n = 20) one-to-one with a participant without regression (n = 20). We compared the groups on developmental scores using independent sample t tests and on core ASD symptoms using Pearson's χ 2 test.

RESULTS

Of the 500 children with ASD, n = 20 (4%) had regression (defined above). Children with regression had lower Bayley cognitive and language scores and lower Vineland adaptive scores compared with those without regression (cognitive: 78.0 vs 85.5, p < 0.05; language: 56.9 vs 68.2, p < 0.01; adaptive: 70.0 vs 80.3; p < 0.01). There was no difference in motor scores across groups. There were no significant differences in the frequency of exhibiting core ASD symptoms for those with versus without regression.

CONCLUSION

In this clinical sample of children with ASD, regression was diagnosed in a small percentage (4%). Those with regression had lower cognitive, language, and adaptive skills compared with those without regression. Rates of clinician-diagnosed regression referred for medical workup are significantly lower than prior estimates based on parent report.

Heterogeneity thwarts autism explanatory power: A proposal for endophenotypes

Many researchers now believe that autism heterogeneity is likely to include many disorders, but most research is based on samples defined by the DSM-5 Autism Spectrum Disorder (ASD) criteria. However, individuals diagnosed with autism have complex and varied biological causes for their symptoms. Therefore, autism is not a unitary biological entity. And although autism is significantly different from typical development, autism is not a unitary clinical disorder because diagnosed individuals vary in symptom patterns, comorbidities, biomarkers, and gene variants. The DSM-5 ASD criteria were designed to reduce heterogeneity, and there have been many other efforts to reduce autism heterogeneity including using more stringent clinical criteria, dividing autism into low and high functioning groups, creating subgroups, and by studying larger samples. However, to date these efforts have not been successful. Heterogeneity is extensive and remains unexplained, and no autism pathophysiology has been discovered. Most importantly, heterogeneity has hindered the explanatory power of the autism diagnosis to discover drug regimens and effective behavioral treatments. The paper proposes that possible transdiagnostic endophenotypes may reduce autism heterogeneity. Searching for transdiagnostic endophenotypes requires exploring autism symptoms outside of the framework of the DSM-5 autism diagnosis. This paper proposes that researchers relax diagnostic criteria to increase the range of phenotypes to support the search for transdiagnostic endophenotypes. The paper proposes possible candidates for transdiagnostic endophenotypes. These candidates are taken from DSM-5 ASD criteria, from concepts that have resulted from researched theories, and from symptoms that are the result of subtyping. The paper then sketches a possible basis for a future transdiagnostic endophenotypes screening tool that includes symptoms of autism and other neurodevelopmental disorders.

Exploring sensory phenotypes in autism spectrum disorder

BACKGROUND

Atypical reactions to the sensory environment are often reported in autistic individuals, with a high degree of variability across the sensory modalities. These sensory differences have been shown to promote challenging behaviours and distress in autistic individuals and are predictive of other functions including motor, social, and cognitive abilities. Preliminary research suggests that specific sensory differences may cluster together within individuals creating discrete sensory phenotypes. However, the manner in which these sensory differences cluster, and whether the resulting phenotypes are associated with specific cognitive and social challenges is unclear.

METHODS

Short sensory profile data from 599 autistic children and adults between the ages of 1 and 21 years were subjected to a K-means cluster analysis. Analysis of variances compared age, adaptive behaviour, and traits associated with autism, attention-deficit and hyperactivity disorder, and obsessive and compulsive disorder across the resultant clusters.

RESULTS

A five-cluster model was found to minimize error variance and produce five sensory phenotypes: (1) sensory adaptive, (2) generalized sensory differences, (3) taste and smell sensitivity, (4) under-responsive and sensation seeking, and (5) movement difficulties with low energy. Age, adaptive behaviour, and traits associated with autism, attention-deficit and hyperactivity disorder, and obsessive and compulsive disorder were found to differ significantly across the five phenotypes.

LIMITATIONS

The results were based on parent-report measures of sensory processing, adaptive behaviour, traits associated with autism, attention-deficit and hyperactivity disorder, and obsessive and compulsive disorder, which may limit the generalizability of the findings. Further, not all measures are standardized, or psychometrically validated with an autism population. Autistic individuals with an intellectual disability were underrepresented in this sample. Further, as these data were obtained from established records from a large provincial database, not all measures were completed for all individuals.

CONCLUSIONS

These findings suggest that sensory difficulties in autistic individuals can be clustered into sensory phenotypes, and that these phenotypes are associated with behavioural differences. Given the large degree of heterogeneity in sensory difficulties seen in the autistic population, these sensory phenotypes represent an effective way to parse that heterogeneity and create phenotypes that may aid in the development of effective treatments and interventions for sensory difficulties.