Stability of diagnostic assessment for autism spectrum disorder between 18 and 36 months in a high-risk cohort

Investigating the Predictive Validity of the Quantitative Checklist for Autism in Toddlers and the Autism Diagnostic Observation Schedule-2 in Children at Elevated Likelihood for Autism

This study examined the recurrence rate of autism in siblings at elevated likelihood (EL) and the predictive validity of the Q-CHAT and ADOS-2 at 14 and 24 months (m) for a clinical best estimate (CBE) autism diagnosis at 3 years. 331 EL-siblings (47.9% girls) from the prospective longitudinal EuroSibs study underwent ADOS-2 assessments and caregivers completed the Q-CHAT at 14 m and 24 m. At 3 years CBE was determined using DSM-5 criteria. Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were estimated. Autism recurrence rate was 25.7% [95% CI (21.1, 30.6)]. Q-CHAT sensitivity was 31.8% [95% CI (21.4, 43.6)] at 14 m and 30.6% [95% CI (20.7, 41.7)] at 24 m. Specificity was 81.2% [95% CI (75.4, 86.2)] at 14 m and 94.8% [95% CI (91.2, 97.2)] at 24 m. PPV was 35.6% [95% CI (24.2, 48.2)] at 14 m and 66.7% [95% CI (49.8, 81.1)] at 24 m. NPV was 78.5% [95% CI (72.6, 83.7)] and 79.9% [95% CI (74.7, 84.6)] respectively. ADOS-2 demonstrated a of 64.3% [95% CI (45.9, 80.2)] and 69.3% [95% CI (58.4, 79.0)] and a specificity of 71.1% [95% CI (60.3, 80.4)] and 68.7% [95% CI (62.5, 74.5)] at 14 m and 24 m respectively. PPV was 45% [95% CI (30.3, 60.4)] at 14 m and 41.9% [95% CI (33.5, 50.7)] at 24 m. NPV was 84.4% [95% CI (74.2, 91.8)] at 14 m and 87.3% [95% CI (81.9, 91.6)] at 24 m. Q-CHAT and ADOS-2 at 14 m and 24 m can aid in early differentiation between EL-siblings who need further assessment and those who do not, but neither has sufficient sensitivity and PPV for standalone CBE diagnosis prediction.

Provider perspectives on equity in use of mobile health autism screening tools

LAY ABSTRACT

Families may find information about autism online, and health care and education providers may use online tools to screen for autism. However, we do not know if online autism screening tools are easily used by families and providers. We interviewed primary care and educational providers, asking them to review results from online tools that screen for autism. Providers had concerns about how usable and accessible these tools are for diverse families and suggested changes to make tools easier to use.

Validity and feasibility of using the Modified Checklist for Autism in Toddlers, Revised with Follow-Up (M-CHAT-R/F) in primary care clinics in Singapore

LAY ABSTRACT

Systematic screening for autism in early childhood has been suggested to improve eventual outcomes by facilitating earlier diagnosis and access to intervention. However, clinical implementation of screening has to take into account effectiveness and feasibility of use within a healthcare setting for accurate diagnosis of autism. In Singapore, autism screening using a structured screening tool is not currently employed as a part of routine well-child visits for children in primary care clinics. In this study, 5336 children (aged 17-20 months) were screened for autism using the Modified Checklist for Autism in Toddlers, Revised with Follow-Up (M-CHAT-R/F) during their 18-month well-child visit in seven primary care clinics. Screening and follow-up interviews were administered by nursing staff at each clinic. Children screened positive and a portion of those screened negative then underwent diagnostic assessments to determine whether they met the diagnostic criteria for autism. In total, 113 (2.1%) were screened positive, of which 54 (1.0%) met the criteria for autism. Children who screened positive and received a diagnosis accessed autism-specific intervention at an average age of 22 months. Nurses and physicians rated the acceptability and practicality of the M-CHAT-R/F highly. Therefore, the M-CHAT-R/F questionnaire was an effective and feasible tool for autism screening among 18-month-old children in this study. Future studies will be designed to determine the optimal age of screening and role of repeated screening in Singapore, as well as to better understand any potential improved outcomes nationwide compared with pre-implementation of autism screening.

Reciprocal Associations Between Language Ability and Social Functioning Development in Pre-verbal Autistic Children

Longitudinal research on language abilities and social functioning in young children suggests that gains in one domain affect gains in the other. However, few studies have examined inter-relations of language and social functioning jointly among young children diagnosed with autism spectrum disorder (ASD). Pre-verbal toddlers with ASD are a group of particular clinical relevance, given that greater language abilities at school entry have been associated with positive long-term adjustment in many areas, including adaptive and social functioning. Reduced attention to and engagement in social interactions among autistic toddlers who are not yet speaking may interfere with language development concurrently and over time. The present study examined reciprocal associations between language ability and social functioning over a 2-year period across three time points in a sample of 90 pre-verbal autistic toddlers using cross-lagged panel analyses conducted in MPlus. Cross-lagged panel analyses revealed significant within-timepoint synchronous correlations, within-domain autoregressive paths over time, and as hypothesized, reciprocal significance in all cross-lagged paths. For very young pre-verbal children with ASD, language ability and social functioning appear to exert concurrent and cascading developmental influences on one another. Targeting both language and social functioning simultaneously may enhance intervention efficacy for very young pre-verbal children with ASD.

The influence of loss to follow-up in autism screening research: Taking stock and moving forward

BACKGROUND

How best to improve the early detection of autism spectrum disorder (ASD) is the subject of significant controversy. Some argue that universal ASD screeners are highly accurate, whereas others argue that evidence for this claim is insufficient. Relatedly, there is no clear consensus as to the optimal role of screening for making referral decisions for evaluation and treatment. Published screening research can meaningfully inform these questions-but only through careful consideration of children who do not complete diagnostic follow-up.

METHODS

We developed two simulation models that re-analyze the results of a large-scale validation study of the M-CHAT-R/F by Robins et al. (2014, Pediatrics, 133, 37). Model #1 re-analyzes screener accuracy across six scenarios, each reflecting different assumptions regarding loss to follow-up. Model #2 builds on this by closely examining differential attrition at each point of the multi-step detection process.

RESULTS

Estimates of sensitivity ranged from 40% to 94% across scenarios, demonstrating that estimates of accuracy depend on assumptions regarding the diagnostic status of children who were lost to follow-up. Across a range of plausible assumptions, data also suggest that children with undiagnosed ASD may be more likely to complete follow-up than children without ASD, highlighting the role of clinicians and caregivers in the detection process.

CONCLUSIONS

Using simulation modeling as a quantitative method to examine potential bias in screening studies, analyses suggest that ASD screening tools may be less accurate than is often reported. Models also demonstrate the critical importance of every step in a detection process-including steps that determine whether children should complete an additional evaluation. We conclude that parent and clinician decision-making regarding follow-up may contribute more to detection than is widely assumed.

Identifying Autism Spectrum Disorder in a High-risk Follow-up Program through Quality Improvement Methodology

Introduction

Children born prematurely are at increased risk for autism spectrum disorder (ASD). ASD can be diagnosed between 18 and 24 months of age, but access barriers and medical complexity can delay diagnosis. ASD screening was implemented in a high-risk infant follow-up program using QI methodology. The project aimed to screen 60% of children and refer 90% of those with positive screens.

Methods

The team developed a standardized workflow to administer the M-CHAT-R/F to HRIF patients between the ages of 16-22 months. Telehealth ASD assessment, using the TELE-ASD-PEDS, was conducted for those who screened positive. Monthly team meetings were held to implement change cycles and review the impact of the previous month's change.

Results

Within 7 months of program implementation, ASD screening exceeded the 60% aim. The program referred 72% of patients who screened as medium/high risk on the M-CHAT-R/F. The remaining patients were not referred per provider discretion. Twenty-seven percent of patients who received an autism evaluation received an ASD diagnosis. The average age at diagnosis was 22.5 months.

Conclusions

An ASD screening protocol was implemented for patients enrolled in a high-risk infant follow-up program. Patients identified as at risk for ASD received an expedited telehealth ASD evaluation. The screening protocol was maintained for 13 months and is now part of the standard workflow. Screening has been expanded to other HRIF clinics, and evaluation appointments have been added to meet access needs. QI methodology is an effective tool for implementing ASD screening and referral in multidisciplinary HRIF programs.

Brief Report: Assessment of a Caregiver-Implemented Intervention for Improving Social Communication Skills in Toddlers and Young Children with Autism

As early identification of autism improves, there is a critical need for interventions to support the development of social communication skills in toddlers. Caregiver coaching and parental involvement is crucial for improving outcomes and providing children with adequate hours of planned active engagement. This pilot study assessed a 4-week intervention for individual caregiver-child dyads. Eight toddlers 21- to 45-months of age participated. Standardized assessments were collected at four study visits to assess autism symptomatology, language development, and both caregiver knowledge and engagement. Results demonstrated the feasibility of the intervention. Social communication, receptive and expressive language all improved as measured by direct assessment. Caregiver knowledge and caregivers' subjective feelings of engagement with their toddlers also improved.

Environmental Risk Factors in Autism Spectrum Disorder: A Narrative Review

Existing evidence indicates that environmental factors might contribute up to 50% of the variance in autism spectrum disorder (ASD) risk. This structured narrative review offers a comprehensive synthesis of current knowledge on environmental risk factors in ASD, including evaluation of conflicting evidence, exploration of underlying mechanisms, and suggestions for future research directions. Analysis of diverse epidemiological investigations indicates that certain environmental factors, including advanced parental age, preterm birth, delivery complications, and exposure to toxic metals, drugs, air pollutants, and endocrine-disrupting chemicals, are linked to an increased ASD risk through various mechanisms such as oxidative stress, inflammation, hypoxia, and its consequences, changes in neurotransmitters, disruption of signaling pathways and some others. On the other hand, pregnancy-related factors such as maternal diabetes, maternal obesity, and caesarian section show a weaker association with ASD risk. At the same time, other environmental factors, such as vaccination, maternal smoking, or alcohol consumption, are not linked to the risk of ASD. Regarding nutritional elements data are inconclusive. These findings highlight the significance of environmental factors in ASD etiology and emphasize that more focused research is needed to target the risk factors of ASD. Environmental interventions targeting modifiable risk factors might offer promising avenues for ASD prevention and treatment.

Improving autism identification and support for individuals assigned female at birth: clinical suggestions and research priorities

Emerging evidence suggests that the higher prevalence of autism in individuals who are assigned male than assigned female at birth results from both biological factors and identification biases. Autistic individuals who are assigned female at birth (AFAB) and those who are gender diverse experience health disparities and clinical inequity, including late or missed diagnosis and inadequate support. In this Viewpoint, an international panel of clinicians, scientists, and community members with lived experiences of autism reviewed the challenges in identifying autism in individuals who are AFAB and proposed clinical and research directions to promote the health, development, and wellbeing of autistic AFAB individuals. The recognition challenges stem from the interplay between cognitive differences and nuanced or different presentations of autism in some AFAB individuals; expectancy, gender-related, and autism-related biases held by clinicians; and social determinants. We recommend that professional development for clinicians be supported by health-care systems, professional societies, and governing bodies to improve equitable access to assessment and earlier identification of autism in AFAB individuals. Autistic AFAB individuals should receive tailored support in education, identity development, health care, and social and professional sense of belonging.

Heterogeneity of autism symptoms in community-referred infants and toddlers at elevated or low familial likelihood of autism

Evidence suggests autistic individuals at elevated familial likelihood of autism spectrum disorder (by virtue of having an autistic sibling) have stronger cognitive abilities on average than autistic individuals with no family history of the condition, who have a low familial likelihood of autism. Investigating phenotypic differences between community-referred infants and toddlers with autism symptoms at elevated or low familial likelihood of autism may provide important insight into heterogeneity in the emerging autism phenotype. This study compared behavioral, cognitive, and language abilities of community-referred infants and toddlers with confirmed autism symptoms at elevated (EL) or low familial likelihood of autism (LL). Participants were 121 children aged 12 to 36 months who participated in two larger randomized trials of parent-mediated interventions for children with autism symptoms. Behavioral phenotypes were compared across three groups: children with at least one autistic sibling (EL-Sibs, n = 30), those with at least one older, non-autistic sibling and no family history of autism (LL-Sibs, n = 40), and first-born children with no family history of autism (LL-FB, n = 51). EL-Sibs had less severe autism symptoms and stronger cognitive abilities than children in LL groups. While the rate of receptive language delay was similar across groups, the rate of expressive language delay was markedly lower among EL-Sibs. After controlling for age and nonverbal cognitive ability, EL-Sibs were significantly less likely to present with expressive language delay than LL-Sibs. Familial likelihood of autism may play an important role in shaping the emerging autism phenotype in infancy and toddlerhood.

Behavioural reactions to an emotion evoking task in infants at increased likelihood for autism spectrum disorder

Infants at increased likelihood for autism spectrum disorder (ASD) exhibit more negative affect and avoidance behaviour than typically developing infants, and children with ASD express fear differently than typically developing peers. We examined behavioural reactions to emotion-evoking stimuli in infants at increased familial likelihood for ASD. Participants included 55 increased likelihood (IL) infants (i.e., siblings of children diagnosed with ASD) and 27 typical likelihood (TL) infants (i.e., no family history of ASD). At 18 months, we showed infants two masks that commonly elicit fearful responses in older children and examined potential behavioural differences in approach, avoidance, 'freezing', crying, gaze aversion, and smiling. At 24 months, infants were assessed with the Toddler Module of the Autism Diagnostic Observation Schedule, 2nd edition (ADOS-2). Results of video-based coding showed that (1) IL infants exhibited more intense avoidance behaviour than TL infants in response to masks, and (2) intensity of avoidance and duration of freezing were positively correlated with ADOS-2 symptom severity scores. Findings suggest that differences in response to emotion-eliciting stimuli may predict later ASD symptoms. Such behavioural differences may inform early detection and intervention in ASD.

Meta-analysis of the Modified Checklist for Autism in Toddlers, Revised/Follow-up for Screening

CONTEXT

The Modified Checklist for Autism in Toddlers, Revised with Follow-up (M-CHAT-R/F) is used worldwide to screen for autism spectrum disorder (ASD).

OBJECTIVE

To calculate psychometric properties of the M-CHAT-R/F for subsequent diagnosis of ASD.

DATA SOURCES

Systematic searches of Medline, Embase, SCOPUS, and Trip Pro databases from January 2014 to November 2021.

STUDY SELECTION

Studies were included if they (1) used the M-CHAT-R/F (2) applied standard scoring protocol, (3) used a diagnostic assessment for ASD, and (4) reported at least 1 psychometric property of the M-CHAT-R/F.

DATA EXTRACTION

Two independent reviewers completed screening, full-text review, data extraction, and quality assessment, following Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. A random-effects model was used to derive pooled estimates and assess for between-study heterogeneity.

RESULTS

Of 667 studies identified, 15 with 18 distinct samples from 10 countries (49 841 children) were used in the meta-analysis. Pooled positive predictive value (PPV), was 57.7% (95% confidence interval [CI] 48.6-66.8, τ2 = 0.031). PPV was higher among high-risk (75.6% [95% CI 66.0-85.2]) than low-risk samples (51.2% [95% CI 43.0-59.5]). Pooled negative predictive value was 72.5% (95% CI 62.5-82.4 τ2 = 0.031), sensitivity was 82.6% (95% CI 76.2-88.9) and specificity 45.7% (95% CI 25.0-66.4).

LIMITATIONS

Negative predictive value, sensitivity, and specificity were calculated based on small sample sizes because of limited or no evaluation of screen-negative children.

CONCLUSIONS

These results support use of the M-CHAT-R/F as a screening tool for ASD. Caregiver counseling regarding likelihood of an ASD diagnosis after positive screen should acknowledge the moderate PPV.

Prosodic signatures of ASD severity and developmental delay in preschoolers

Atypical prosody in speech production is a core feature of Autism Spectrum Disorder (ASD) that can impact everyday life communication. Because the ability to modulate prosody develops around the age of speech acquisition, it might be affected by ASD symptoms and developmental delays that emerge at the same period. Here, we investigated the existence of a prosodic signature of developmental level and ASD symptom severity in a sample of 74 autistic preschoolers. We first developed an original diarization pipeline to extract preschoolers' vocalizations from recordings of naturalistic social interactions. Using this novel approach, we then found a robust voice quality signature of ASD developmental difficulties in preschoolers. Furthermore, some prosodic measures were associated with one year later outcome in participants who had not acquired speech yet. Altogether, our results highlight the potential benefits of automatized diarization algorithms and prosodic metrics for digital phenotyping in psychiatry, helping clinicians establish early diagnosis and prognosis.

Case report: Transient symptoms of autism spectrum disorder in a 2-year-old boy

Though early ASD diagnosis is highly stable, this case report describes a rare situation in which symptoms resolved without intervention over a 4 month period. We do not recommend delaying diagnosis in symptomatic children who meet criteria but when major behavioral changes are reported after diagnosis, reevaluation may be beneficial.

Early Indicators of Autism in Infants: Development of the IMES Screening Tool

We developed the Infant, Motor, and Engagement Scale (IMES) to address the public health goal of early identification of autism spectrum disorder (ASD). The IMES is a screening tool that assesses quality of infants' interaction with people and objects during early play. We aimed to examine the IMES' preliminary psychometric properties and its value in discriminating between infants later diagnosed with ASD and typically developing infants. We used the IMES to score retrospective home videos of 15 male infants, 7 who were later diagnosed with autism. We examined interrater reliability using Cohen's Kappa, internal consistency with Cronbach's alpha and content validity through expert review. Preliminary data support validity and reliability of the IMES for early identification for infants at 6 to 9 months. With further research, the IMES has the potential to identify at risk infants at a young age that may have long-term impact on child and family outcomes.

Primary Care Clinician and Child Characteristics Impacting Autism Surveillance

Early detection of autism provides access to early intervention and subsequently fewer lifelong challenges. However, disparities in screening have been associated with socioeconomic status (SES) and race, and disparities in surveillance have been associated with clinician knowledge and beliefs about autism identification. The present study examines associations between demographic variables and clinician beliefs, and agreement between screening results and clinician surveillance. Surveillance included activities used by the primary care clinicians (PCCs) to assess risk for autism. PCCs reported their beliefs about autism screening and identification, their sex, race, years in practice, and racial distribution of their patient population. Children's demographic information was also collected. PCCs identified children as having, or not having, an increased likelihood of autism, and parents of children completed an autism screener. Agreement between screening and surveillance results were examined across PCC, practice, and child demographics. Higher confidence in autism knowledge and screening resources, female PCC sex, and majority White practice patient demographics all predicted agreement between screening and surveillance. Female child sex and higher maternal education also predicted agreement between screening and surveillance. These findings highlight the importance of PCC screening beliefs and child and PCC demographics on the autism identification process.

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.

Examining the factor structure and discriminative utility of the Infant Behavior Questionnaire-Revised in infant siblings of autistic children

Using the Infant Behavior Questionnaire-Revised in a longitudinal sample of infant siblings of autistic children (HR; n = 427, 171 female, 83.4% White) and a comparison group of low-risk controls (LR, n = 200, 86 female, 81.5% White), collected between 2007 and 2017, this study identified an invariant factor structure of temperament traits across groups at 6 and 12 months. Second, after partitioning the groups by familial risk and diagnostic outcome at 24 months, results reveal an endophenotypic pattern of Positive Emotionality at both 6 and 12 months, (HR-autism spectrum disorder [ASD] < HR-no-ASD < LR). Third, increased 'Duration of Orienting' at 12 months was associated with lower scores on the 24-month developmental outcomes in HR infants. These findings may augment efforts for early identification of ASD.

Early identification of autism in Egyptian children using Arabic version of checklist for autism in toddlers-23 (CHAT-23)

Background: Screening is the first important step in the diagnostic process. There is strong evidence that early diagnosis and management of autism spectrum disorder (ASD) can lead to a better prognosis. The purpose of this study was to develop an Arabic version of the Chinese Checklist for Autism in Toddlers-23 (CHAT-23) to distinguish children with ASD in the Egyptian community. Methods: The Arabic CHAT-23 checklist was applied to 100 Egyptian children with mental age 18-24 months including 30 autistic and 70 typically-developing children. Results and conclusion: Arabic CHAT-23 checklist is a valid and reliable tool for early identification of ASD in Egyptian children with high sensitivity (93.3%) and specificity (97%). Children failing any 15 of all 23 questions of the parental questionnaire should be observed with observational items. Failing any 3 of the 4 observational items would suggest ASD.

Characterizing difficulties with emotion regulation in toddlers with autism spectrum disorder

Background

Difficulties with emotion regulation (ER) underlie emotional/behavioral challenges and co-occurring psychiatric symptoms in autism spectrum disorder (ASD), yet very little is known about the early development of emotion dysregulation. The present study aimed to identify differences in positive and negative emotional reactivity and regulation strategies in toddlers with and without ASD.

Method

Nine tasks from the Laboratory Temperament Assessment Battery (Lab-TAB) were completed with 37 toddlers with and without ASD (22-28 months). Video-recordings of these tasks were coded by research assistants using a behavioral coding scheme tapping facial, bodily, and vocal affect and the frequency of ER strategies. Mixed model analyses were performed to examine the mean affect and total regulation strategies across each task and t-tests were conducted to assess the types of ER strategies utilized.

Results

Toddlers with ASD showed significantly less positive affect and greater frustration compared to non-ASD toddlers; reactivity was comparable between the groups for fear. Both groups used ER strategies in a similar pattern across tasks, with the exception that toddlers with ASD more often engaged in distraction to regulate. Effects of age and developmental level are discussed.

Conclusions

Toddlers with ASD were robustly characterized by greater frustration and lower joy despite frequent and age appropriate attempts to regulate their emotions. This study provides preliminary evidence that observable indicators of emotion dysregulation are present by two years of age. Clinical implications and future research directions are discussed.

Emotional and behavioral problems in Japanese preschool children with subthreshold autistic traits: findings from a community-based sample

BACKGROUND

Recently, there has been a growing recognition that autistic traits exist along a continuum beyond diagnostic categories and that even subclinical symptoms may be associated with an increased risk for the psychosocial well-being and mental health of children. However, as yet, there has been little research on whether preschool children with autism spectrum disorder (ASD) symptoms, who do not meet the diagnostic criteria for ASD, are more likely to experience difficulties. To address this deficit this study examined whether young children with subthreshold autistic traits have an increased risk for emotional/behavioral difficulties.

METHODS

Data were analyzed from 1057 Japanese preschool children aged 5-years old collected during the first wave of the Tama Children's Survey (TCS) cohort study. Parent-reported autistic traits were assessed with the Social Responsiveness Scale (SRS), while they provided information on their child's emotional/behavioral problems using the Strengths and Difficulties Questionnaire (SDQ). Logistic regression analysis was used to examine associations.

RESULTS

Preschool children with mild-to-moderate autistic traits, corresponding to subclinical autism were significantly more likely to score above the clinical thresholds for emotional/behavioral problems compared to children with fewer autistic traits. Follow-up diagnostic assessments and analyses of 72 children from the cohort confirmed these findings and showed that these children with subthreshold autistic traits also had a significantly lower intelligence quotient (IQ) as measured by the Wechsler Preschool and Primary Scale of Intelligence (WPPSI).

CONCLUSIONS

Although subthreshold autistic traits are difficult to define due to the sometimes vague border between typical and atypical development, there may be a large number of preschool children with subthreshold autistic traits, who may have an increased risk for a variety of different emotional/behavioral difficulties as well as lower cognitive functioning.

Parental Language Input Predicts Neuroscillatory Patterns Associated with Language Development in Toddlers at Risk of Autism

In this study we investigated the impact of parental language input on language development and associated neuroscillatory patterns in toddlers at risk of Autism Spectrum Disorder (ASD). Forty-six mother-toddler dyads at either high (n = 22) or low (n = 24) familial risk of ASD completed a longitudinal, prospective study including free-play, resting electroencephalography, and standardized language assessments. Input quantity/quality at 18 months positively predicted expressive language at 24 months, and relationships were stronger for high-risk toddlers. Moderated mediations revealed that input-language relationships were explained by 24-month frontal and temporal gamma power (30-50 Hz) for high-risk toddlers who would later develop ASD. Results suggest that high-risk toddlers may be cognitively and neurally more sensitive to their language environments, which has implications for early intervention.

Temperament in Infancy Predicts Internalizing and Externalizing Problem Behavior at Age 5 in Children With an Increased Likelihood of Autism Spectrum Disorder

Differences in temperament have been linked to later mental health. Children with autism spectrum disorder (ASD) have an increased likelihood of experiencing such problems, including anxiety, depression, attention deficit/hyperactivity disorder, and oppositional defiant disorder; yet, relations between early temperament and later mental health are not well understood. In this paper, we assess the relationship between temperament in infancy and internalizing and externalizing behavior at age 5, in 178 children at an increased likelihood of being diagnosed with ASD (i.e., younger siblings of children with ASD). Temperament was assessed using the parent-reported Infant Behavior Questionnaire (IBQ) at 6 and 12 months of age and the Toddler Behavior Assessment Questionnaire-Revised (TBAQ-R) at 24 months of age. Mental health problems were assessed using the parent-reported Child Behavior Checklist (CBCL) at age 5. The data were analyzed using hierarchical multiple regressions, with individual temperament subscale scores as single predictor variables (Subscale Score) or temperament profiles using confirmatory factor analyses (Person-Centered Profile) in the first block, Autism Diagnostic Observation Schedule total severity scores at age 3 in the second block, and expressive and receptive language scores (from Mullen Scales of Early Learning) at age 3 in the third block for each model. Three main findings were: (1) 4 of 6 IBQ subscales at both 6 and 12 months significantly predicted internalizing and externalizing problems at age 5; (2) 9 and 8 of 13 TBAQ-R subscales at 24 months significantly predicted internalizing and externalizing problems, respectively, at age 5; and (3) a "sticky attention" temperament profile significantly predicted internalizing problems, whereas a "low-focused" profile significantly predicted externalizing problems, both at age 5. The results of this study support the supposition that temperament is a trans-diagnostic risk factor for later mental health conditions. Exploring temperament profiles and trajectories may illuminate early avenues for prevention in siblings of children with ASD who are at an increased likelihood of experiencing mental health problems, regardless of ASD diagnostic status.

Determinants of satisfaction with the detection process of autism in Europe: Results from the ASDEU study

LAY ABSTRACT

Professional guidance and support in response to first concerns appears to be an important predictor of the level of satisfaction with the detection process of autism in young children. In this study, we analyzed the views of 1342 family members, including 1278 parents, who completed an online survey form collecting information about their experience and satisfaction with the early detection of autism in their child. Specifically, we were interested in how specific experiences with the detection process relate to the satisfaction with it and whether we could identify important predictors of satisfaction. The detection process is an emotionally charged period for parents, often described as painful, chaotic, and lengthy. A better understanding of their experiences is important to take appropriate action to improve the detection process. In our sample, the level of satisfaction with the detection process varied greatly from one respondent to another. Among the different experiences we considered, whether or not respondents received professional guidance and support in response to first concerns explained most of this variation. We also found that difficulty finding information about detection services, lack of professional guidance and support in response to first concerns, having to find a diagnostic service on one's own, and longer delays between confirmation of concerns and first appointment with a specialist were experiences associated with a greater likelihood of being unsatisfied. The findings of this study highlight the importance of the parent-professional relationship in the detection process and have important practical implications for health administrations to improve the detection process.

"On-Time Autism Intervention": A Diagnostic Practice Framework to Accelerate Access

It is well-documented that autism can be reliably diagnosed by age two and that early signs emerge most often between 18 and 24 months. However, despite the increased awareness and focus on early diagnosis, the average age of diagnosis is over 4 years old; even later for Black children and those who are Medicaid-eligible. In this paper, we will propose a framework for accurate and accelerated autism diagnosis for children before age three. The proposed framework emphasizes a collaborative diagnostic process, which relies heavily on Birth to Three provider knowledge and expertise. Considerations for next steps are presented. This approach could increase access to diagnosis of young children soon after first signs of autism emerge.

The amplitude of fNIRS hemodynamic response in the visual cortex unmasks autistic traits in typically developing children

Autistic traits represent a continuum dimension across the population, with autism spectrum disorder (ASD) being the extreme end of the distribution. Accumulating evidence shows that neuroanatomical and neurofunctional profiles described in relatives of ASD individuals reflect an intermediate neurobiological pattern between the clinical population and healthy controls. This suggests that quantitative measures detecting autistic traits in the general population represent potential candidates for the development of biomarkers identifying early pathophysiological processes associated with ASD. Functional near-infrared spectroscopy (fNIRS) has been extensively employed to investigate neural development and function. In contrast, the potential of fNIRS to define reliable biomarkers of brain activity has been barely explored. Features of non-invasiveness, portability, ease of administration, and low-operating costs make fNIRS a suitable instrument to assess brain function for differential diagnosis, follow-up, analysis of treatment outcomes, and personalized medicine in several neurological conditions. Here, we introduce a novel standardized procedure with high entertaining value to measure hemodynamic responses (HDR) in the occipital cortex of adult subjects and children. We found that the variability of evoked HDR correlates with the autistic traits of children, assessed by the Autism-Spectrum Quotient. Interestingly, HDR amplitude was especially linked to social and communication features, representing the core symptoms of ASD. These findings establish a quick and easy strategy for measuring visually-evoked cortical activity with fNIRS that optimize the compliance of young subjects, setting the background for testing the diagnostic value of fNIRS visual measurements in the ASD clinical population.

Autism screening at 18 months of age: a comparison of the Q-CHAT-10 and M-CHAT screeners

Background

Autism screening is recommended at 18- and 24-month pediatric well visits. The Modified Checklist for Autism in Toddlers—Revised (M-CHAT-R) authors recommend a follow-up interview (M-CHAT-R/F) when positive. M-CHAT-R/F may be less accurate for 18-month-olds than 24-month-olds and accuracy for identification prior to two years is not known in samples that include children screening negative. Since autism symptoms may emerge gradually, ordinally scoring items based on the full range of response options, such as in the 10-item version of the Quantitative Checklist for Autism in Toddlers (Q-CHAT-10), might better capture autism signs than the dichotomous (i.e., yes/no) items in M-CHAT-R or the pass/fail scoring of Q-CHAT-10 items. The aims of this study were to determine and compare the accuracy of the M-CHAT-R/F and the Q-CHAT-10 and to describe the accuracy of the ordinally scored Q-CHAT-10 (Q-CHAT-10-O) for predicting autism in a sample of children who were screened at 18 months.

Methods

This is a community pediatrics validation study with screen positive (n = 167) and age- and practice-matched screen negative children (n = 241) recruited for diagnostic evaluations completed prior to 2 years old.

Clinical diagnosis of autism was based on results of in-person diagnostic autism evaluations by research reliable testers blind to screening results and using the Autism Diagnostic Observation Schedule—Second Edition (ADOS-2) Toddler Module and Mullen Scales of Early Learning (MSEL) per standard guidelines.

Results

While the M-CHAT-R/F had higher specificity and PPV compared to M-CHAT-R, Q-CHAT-10-O showed higher sensitivity than M-CHAT-R/F and Q-CHAT-10.

Limitations

Many parents declined participation and the sample is over-represented by higher educated parents. Results cannot be extended to older ages.

Conclusions

Limitations of the currently recommended two-stage M-CHAT-R/F at the 18-month visit include low sensitivity with minimal balancing benefit of improved PPV from the follow-up interview. Ordinal, rather than dichotomous, scoring of autism screening items appears to be beneficial at this age. The Q-CHAT-10-O with ordinal scoring shows advantages to M-CHAT-R/F with half the number of items, no requirement for a follow-up interview, and improved sensitivity. Yet, Q-CHAT-10-O sensitivity is less than M-CHAT-R (without follow-up) and specificity is less than the two-stage procedure. Such limitations are consistent with recognition that screening needs to recur beyond this age.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13229-021-00480-4.

The role of caregiver gestures and gesture-related responses of toddlers with autism spectrum disorder

Autism spectrum disorder (ASD) is characterized by social communicative abnormalities. Deficits and delays in gestural communication are among the early deficits of ASD and also a major social modality in early caregiver-toddler interaction. Caregiver gestures have an important role in the cognitive and social development of children with ASD. Thus, it is urgent to further explore the role of caregiver gestures in early caregiver-toddler interaction. In this cross-sectional study, we observed the caregivers' gestures and responses of toddlers aged between 18 and 24 months during play (ASD = 44, TD = 29) and dining activities (ASD = 34, TD = 27). By observing the different frequencies and patterns of gestures by the caregiver-child interaction and the different proportions of children's responses to the caregiver's gestures, we found that, compared to caregivers of typically developing toddlers, caregivers of toddlers with ASD had fewer synchronized gestures and more unsynchronized gestures in the play activity and more supplementary gestures in dining activity. Toddlers with ASD produced more social responses to caregivers' synchronized gestures, whereas the use of synchronized gestures by the caregivers in caregiver-toddler interaction had a positive influence on social responses to toddlers with ASD. The findings suggest that effective use of gestures by caregivers during caregiver-toddler activities can improve children's social responses.

Diagnostic Stability and Phenotypic Differences Among School-Age Children Diagnosed With ASD Before Age 2

Given the importance of early detection, it is critical to understand the non-linearity in manifestation of ASD before age 24 months, when ASD symptoms are beginning to consolidate, through the age of 36 months when stability of ASD diagnosis is reportedly high into school-age when increased demands may challenge previously successful compensatory processes and permit first ASD detection. We employed a prospective, longitudinal design focused on children with an older sibling with ASD (n = 210) who received diagnostic evaluations at mean ages of 15.4 months (Time 1), 36.6 months (Time 2), and 5.7 years (Time 3) to examine: (1) diagnostic stability, (2) developmental trajectories associated with different patterns of ASD vs. non-ASD classifications, and (3) predictors of classification group over time. Clinical best estimate (CBE) diagnosis of ASD or non-ASD was made at each time point. Linear mixed-effects models were implemented to examine differences in developmental trajectories of stable and dynamic diagnostic groups. Multinomial logistic regression analyses were used to examine predictors of the likelihood of belonging to each CBE diagnostic classification group. Results revealed that sensitivity and stability of an ASD diagnosis significantly increased from Time 1 (sensitivity: 52%; stability: 63%) to Time 2 (sensitivity: 86%; stability: 68%). Different developmental trajectories of autism symptom severity and non-verbal and verbal IQ were observed across groups, with differences first observed at Time 1 and becoming more pronounced through Time 3. Presence of restricted and repetitive behaviors as well as limitations in initiation of joint attention and expressive language skills differentially predicted the likelihood of belonging to the different CBE diagnostic classification groups. Results suggest that ASD symptoms may emerge or attenuate over time, with some children meeting diagnosis at follow-up, and other children no longer meeting diagnostic criteria. From a systems perspective, diagnostic non-linearity may be viewed as a dynamic developmental process, where emergent properties arising from various biological, genetic, and experiential factors interact, culminating in phenotypic phenomena that change over time. Clinical implications include extending universal ASD and social communication screening into school-age, supporting families' understanding of diagnostic shifts, and ensuring unbiased diagnostic decision-making when following children with ASD.

Early social communication development in infants with autism spectrum disorder

Social-communication differences are a robust and defining feature of autism spectrum disorder (ASD) but identifying early points of divergence in infancy has been a challenge. The current study examines social communication in 9- to 12-month-old infants who develop ASD (N = 30; 23% female; 70% white) compared to typically developing (TD) infants (N = 94, 38% female; 88% white). Results demonstrate that infants later diagnosed with ASD were already exhibiting fewer social-communication skills using eye gaze, facial expression, gestures, and sounds at 9 months (effect size: 0.42-0.89). Moreover, three unique patterns of change across distinct social-communication skills were observed within the ASD group. This study documents that observable social-communication differences for infants with ASD are unfolding by 9 months, pointing to a critical window for targeted intervention.

The Toddler Autism Symptom Inventory: Use in diagnostic evaluations of toddlers

LAY ABSTRACT

Determining whether a young child has an autism spectrum disorder requires direct observation of the child and caregiver report of the child's everyday behaviors. There are few interviews for parents that are specifically designed for children under 3 years of age. The Toddler Autism Symptom Inventory is a new interview that asks caregivers of children age 12-36 months about symptoms of possible autism spectrum disorder. The Toddler Autism Symptom Inventory uses a cutoff score to indicate likelihood for autism spectrum disorder; this cutoff score appears to accurately identify most children who are diagnosed with autism spectrum disorder without identifying too many who do not have autism spectrum disorder. The Toddler Autism Symptom Inventory interview can help clinicians to determine whether a young child shows symptoms suggestive of an autism spectrum disorder.

Diagnostic shifts in autism spectrum disorder can be linked to the fuzzy nature of the diagnostic boundary: a data-driven approach

BACKGROUND

Diagnostic shifts at early ages may provide invaluable insights into the nature of separation between autism spectrum disorder (ASD) and typical development. Recent conceptualizations of ASD suggest the condition is only fuzzily separated from non-ASD, with intermediate cases between the two. These intermediate cases may shift along a transition region over time, leading to apparent instability of diagnosis.

METHODS

We used a cohort of children with high ASD risk, by virtue of having an older sibling with ASD, assessed at 24 months (N = 212) and 36 months (N = 191). We applied machine learning to empirically characterize the classification boundary between ASD and non-ASD, using variables quantifying developmental and adaptive skills. We computed the distance of children to the classification boundary.

RESULTS

Children who switched diagnostic labels from 24 to 36 months, in both directions, (dynamic group) had intermediate phenotypic profiles. They were closer to the classification boundary compared to children who had stable diagnoses, both at 24 months (Cohen's d = .52) and at 36 months (d = .75). The magnitude of change in distance between the two time points was similar for the dynamic and stable groups (Cohen's d = .06), and diagnostic shifts were not associated with a large change. At the individual level, a few children in the dynamic group showed substantial change.

CONCLUSIONS

Our results suggested that a diagnostic shift was largely due to a slight movement within a transition region between ASD and non-ASD. This fact highlights the need for more vigilant surveillance and intervention strategies. Young children with intermediate phenotypes may have an increased susceptibility to gain or lose their diagnosis at later ages, calling attention to the inherently dynamic nature of early ASD diagnoses.

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.

Parent Questionnaires in the Evaluation of Pre-School Children Referred for Neuropsychiatric Assessment

One-hundred twenty-four pre-school children referred for assessment to a neuropsychiatric team were included in this study of the Autism Behavior Checklist (ABC), ESSENCE-Q, and Conners Abbreviated Parent-Teacher Rating Scale (CAPRS). All three questionnaires showed a good correlation towards severity of symptoms in ASD. The ABC questionnaire was, as has been shown in earlier research less accurate in identifying individuals with ASD having an IQ within the normal range. However the ESSENCE-Q, and the CAPRS proved to identify children with difficulties needing further assessment regardless of intellectual ability. The CAPRS showed a good correlation to severity in ASD indicating difficulties in the regulation of activity and behavior likely to be connected to ASD in pre-school children.

Relationship Between Motor Skills and Language Abilities in Children With Autism Spectrum Disorder

OBJECTIVES

Few studies have examined the relationship between language abilities and specific motor skills in toddlers with autism spectrum disorder (ASD). The aim of this study was to compare the relationship of receptive language (RL) and expressive language (EL) abilities with motor functioning in toddlers with ASD aged 24 to 36 months and their peers with typical development (TD). Furthermore, the study compared multidimensional motor functioning in toddlers with ASD with delayed RL and EL development and toddlers with ASD and typical RL and EL development. The predictive powers of the motor skills were examined for the group with delayed RL and EL development.

METHODS

The language abilities of 38 toddlers with ASD and 38 age-matched toddlers with TD were evaluated using the Receptive and Expressive Language Subscales of the Mullen Scale of Early Learning, and their motor skills were assessed using the Peabody Developmental Motor Scales, Second Edition.

RESULTS

Significant correlations between language ability and motor functioning were observed in the ASD and TD groups. The ASD group with delayed RL and EL development had lower scores for multidimensional motor functioning than the ASD group with typical RL and EL development and the TD group. Moreover, the risks of delayed EL and RL development could be predicted by the lower motor scores in toddlers with ASD.

CONCLUSIONS

The positive correlation between language abilities and motor functioning in toddlers with ASD indicated potential connections between the early onsets of motor and speech-language impairments in these toddlers.

IMPACT

The results may have implications for the development of motor-based interventions targeting language development in young children with ASD.

Putting the Patient First: A Scoping Review of Patient Desires in Canada

Patient-centred care is a key priority for governments, providers and stakeholders, yet little is known about the care preferences of patient groups. We completed a scoping review that yielded 193 articles for analysis. Five health states were used to account for the diversity of possible preferences based on health needs. Five broad themes were identified and expressed differently across the health states, including personalized care, navigation, choice, holistic care and care continuity. Patients' perspectives must be considered to meet the diverse needs of targeted patient groups, which can inform health system planning, quality improvement initiatives and targeting of investments.

Replication study of ADOS-2 Toddler Module cut-off scores for autism spectrum disorder classification

The Autism Diagnostic Observation Schedule, Second Edition (ADOS-2) has been regarded as the gold standard assessment of autism spectrum disorder (ASD). While clinical validity of ADOS-2 Modules 1-4 have been extensively studied, there has been very limited research examining the clinical validity of ADOS-2 Toddler Module. The goal of this study was to examine alignment of the ADOS-2 Toddler Module classification with clinicians' determination of ASD, with assessing cut-off scores for diagnosing ASD in toddlers. A total of 412 toddlers ages 12-30 months who received ADOS-2 Toddler Module as well as a best estimate clinical (BEC) diagnosis, were included in this study. ADOS-2 Toddler Module cut-off scores were determined using the appropriate algorithms (Algorithm 1 for toddlers aged 12-20 months and those aged 21-30 months with <5 words, Algorithm 2 for toddlers aged 21-30 months with 5 words or more). Receiver operating characteristic (ROC) curves were used to assess cut-off scores that optimized sensitivity and specificity when compared against BEC diagnosis. The selected cut-off scores were examined using frequency tables to compare ADOS-2 classification against BEC diagnosis. For Algorithm 1, classification statistics were optimized at the cut-off score of 12 with an area under the curve (AUC) of 0.92. For Algorithm 2, classification statistics were optimized at the cut-off score of 10 with an AUC of 0.96. The ADOS-2 Toddler Module classification is strongly aligned with BEC diagnosis. The optimal cut-off scores identified in the current study reflect the same results configured by the prior study. LAY SUMMARY: ADOS-2 Toddler Module has been widely used for the ASD assessment, but there have been limited research on its clinical validity. This study is the first replication of the ADOS-2 Toddler Module with a large independent sample. We examined alignment of the ADOS-2 Toddler Module classification with clinicians' determination of ASD, with assessing cut-off scores, and confirmed the clinical validity of ADOS-2 Toddler Module. Cut-off scores of ADOS-2 Toddler Module cited in the manual yielded best clinical utility for diagnosing ASD in toddlers.

Comparison of the Modified Checklist for Autism in Toddlers, Revised with Follow-Up (M-CHAT-R/F) Positive Predictive Value by Race

The Modified Checklist for Autism in Toddlers, Revised, with Follow-Up (M-CHAT-R/F) is the most widely used screener for ASD. Despite the comparable rate of ASD in Black and White children, the M-CHAT-R/F was validated on a primarily White, Non-Hispanic sample. Few studies have assessed whether the screener performs adequately with racial minorities. This study compared the M-CHAT-R/F Positive Predictive Value (PPV), for ASD, and for any developmental condition, in Black and White children. We also examined M-CHAT-R/F item-level PPV by race. The PPVs for ASD and other developmental disorders were similar in both racial groups for total score and individual items. Therefore, our findings support the use of the M-CHAT-R/F with Black and White children.

Systematic Review and Meta-Analysis of the Clinical Utility of the ADOS-2 and the ADI-R in Diagnosing Autism Spectrum Disorders in Children

The Autism Diagnostic Observation Schedule, Second Edition (ADOS-2) and the Autism Diagnostic Interview, Revised (ADI-R) have high accuracy as diagnostic instruments in research settings, while evidence of accuracy in clinical settings is less robust. This meta-analysis focused on efficacy of these measures in research versus clinical settings. Articles (n = 22) were analyzed using a hierarchical summary receiver operating characteristics (HSROC) model. ADOS-2 performance was stronger than the ADI-R. ADOS-2 sensitivity and specificity ranged from .89-.92 and .81-.85, respectively. ADOS-2 accuracy in research compared with clinical settings was mixed. ADI-R sensitivity and specificity were .75 and .82, respectively, with higher specificity in research samples (Research = .85, Clinical = .72). A small number of clinical studies were identified, indicating ongoing need for investigation outside research settings.

Detecting Feeding Problems in Young Children with Autism Spectrum Disorder

Feeding problems are prevalent in children with ASD. We investigated whether the Montreal Children’s Hospital Feeding Scale (MCH-FS, Ramsay et al. in Pediatrics and Child Health 16:147–151, 2011) can be used for young children with ASD. Participants (1–6 years) were selected from a clinical ASD sample (n = 80) and a general population sample (n = 1389). Internal consistency was good in both samples. In general, parents of children with ASD reported more feeding problems than those from the population sample. The response patterns on the individual items was highly similar. There was a slight increase in symptoms with age in the population sample, but not in the ASD sample. These results suggest that the MCH-FS can be used in populations that include children with ASD.

A Longitudinal Study of Parent Gestures, Infant Responsiveness, and Vocabulary Development in Infants at Risk for Autism Spectrum Disorder

We investigated gestures that parents used with 12-, 18-, and 24-month-old infants at high or low risk for autism spectrum disorder (ASD; high-risk diagnosed with ASD: n = 21; high-risk classified as no ASD: n = 34; low-risk classified as no ASD: n = 34). We also examined infant responses to parent gestures and assessed the extent to which parent gesture relates to vocabulary development. Parents of three groups gestured in similar frequencies and proportions. Infants, in turn, responded similarly to parent gestures regardless of the infant's ASD risk and later diagnosis. Finally, parents who gestured more at 12 months had children with better vocabulary at 36 months than parents who gestured less. These findings highlight the importance of examining parent gestures when predicting language development.

A Combined Study on the Use of the Child Behavior Checklist 1½-5 for Identifying Autism Spectrum Disorders at 18 Months

The capacity of the Child Behavior Checklist 1½-5 (CBCL 1½-5) to identify children with autism spectrum disorder (ASD) at 18 months was tested on 37 children clinically referred for ASD and 46 children at elevated likelihood of developing ASD due to having an affected brother/sister. At 30 months the clinically referred children all received a confirmatory diagnosis, and 10 out of 46 siblings received a diagnosis of ASD. CBCL 1½-5 profiles were compared with a group of matched children with typical development (effect of cognitive level controlled for). The capacity of the CBCL 1½-5 DSM Oriented-Pervasive Developmental Problems scale to differentiate correctly between children diagnosed with ASD and children with typical development appeared dependent on group ascertainment methodology.

The complexity of early diagnostic decision making: A follow-up study of young children with language difficulties

Background & aims

Due to the complexity of early diagnostic decision making, we examined the predictive value of an early diagnostic classification and early abilities on later best estimate diagnosis for 22 clinically referred children with language difficulties.

Methods and procedures

Four years after initial evaluation (Time 1), the clinical files of these children were reviewed. A best-estimate (BE) diagnosis of language disorder (LD), intellectual disability (ID), or autism spectrum disorder (ASD) was established, with ASD being most common.

Outcomes and results

Early clinical classifications were relatively unstable or difficult to establish at a young age. The magnitude of children's cognitive and receptive language delay was a significant predictor of a later BE diagnosis of ID and LD respectively. A BE diagnosis of ASD, by contrast, could not be predicted from children's early social communication problems nor the presence of restricted and repetitive behaviors and interests.

Conclusions

Taken together, the results of this study suggest that language difficulties can be an early marker of a neurodevelopmental disorder which is often not identified at the age of first referral.

Implications

Eligibility for treatment should, therefore, be based on biopsychosocial case formulation rather than DSM or ICD diagnostic classification.

What this paper adds?

In this study a dimensional approach was used to characterize the abilities of young children referred with mild to profound receptive and/or expressive language difficulties. Later on, a categorical approach was adopted to establish best estimate diagnoses. Our clinical, broadly defined sample reflects the heterogeneous intake of young children referred for diagnostic assessment. Other studies on diagnostic stability often only focus on one diagnostic category (and are explicitly excluding children with specific other diagnoses), not taking into account the difficulties of early differential diagnostic decision making and stability across different categories over time. Investigations of differential diagnosis within a clinical group, instead of only differentiating children with a specific diagnosis from typically developing children, may be more informative for clinicians.

Assessment of Autism Symptoms From 6 to 18 Months of Age Using the Autism Observation Scale for Infants in a Prospective High-Risk Cohort

The objectives were to characterize behavioral signs of autism spectrum disorder (ASD) in younger siblings of diagnosed children (high-risk; HR) and examine classification features of the Autism Observation Scale for Infants (AOSI). Participants (501 HR and 180 low-risk [LR]) were assessed between 6 and 18 months using the AOSI and at age 3 for ASD diagnoses. Total AOSI scores differentiated HR infants later diagnosed with ASD starting at 12 months. ROC analyses identified 12- and 18-month cutoff scores associated with 0.52 sensitivity and 0.74 specificity and 0.73 sensitivity and 0.65 specificity, respectively. Although classification accuracy does not support use as a standalone screen, the AOSI identifies features associated with ASD starting at 6 months and differentiates HR infants with ASD by 12 months.

Birth characteristics of children who used early intervention and special education services in New York City

BACKGROUND

Early intervention (EI) and special education (SE) are beneficial for children with developmental disabilities and/or delays and their families, yet there are disparities in service use. We sought to identify the birth characteristics that predict EI/SE service use patterns.

METHODS

We conducted a retrospective cohort study using linked administrative data from five sources for all children born in 1998 to New York City resident mothers. Multinomial regression was used to identify birth characteristics that predicted predominant patterns of service use.

RESULTS

Children with service use patterns characterized by late or limited/no EI use were more likely to be first-born children and have Black or Latina mothers. Children born with a gestational age ≤31 weeks were more likely to enter services early. Early term gestational age was associated with patterns of service use common to children with pervasive developmental delay, and maternal obesity was associated with the initiation of speech therapy at the time of entry into school.

CONCLUSIONS

Maternal racial disparities existed for patterns of EI/SE service use. Specific birth characteristics, such as parity and gestational age, may be useful to better identify children who are at risk for suboptimal EI use.

Observed Social Emotional Behavior at 22 Months Predicts a Later ASD Diagnosis in High-Risk Siblings

Social engagement, pretend play, and concern for another's distress represent fundamental features of typical social-emotional development in the second year. Children with autism spectrum disorder (ASD) display delays and deficits in these areas, and research on toddlers at heightened risk for ASD (HR; younger siblings of children with ASD) indicates these deficits may be apparent in toddlerhood. Prior research has examined these aspects of social-emotional development individually in HR toddlers. The present paper examines them jointly as predictors of ASD. We show that social engagement, pretend play, and empathic concern at 22-months each contribute uniquely to predicting later ASD diagnosis with high specificity and moderate sensitivity. Results have important implications for early diagnosis and intervention in young children with ASD.

Gesture Development, Caregiver Responsiveness, and Language and Diagnostic Outcomes in Infants at High and Low Risk for Autism

We investigated gesture production in infants at high and low risk for autism spectrum disorder (ASD) and caregiver responsiveness between 12 and 24 months of age and assessed the extent to which early gesture predicts later language and ASD outcomes. Participants included 55 high-risk infants, 21 of whom later met criteria for ASD, 34 low-risk infants, and their caregivers. Results indicated that (a) infants with ASD outcomes used fewer gestures and a lower proportion of developmentally advanced gesture-speech combinations; (b) caregivers of all the infants provided similar rates of contingent responses to their infants' gestures; and (c) gesture production at 12 months predicted subsequent receptive language and ASD outcomes within the high-risk group.

Future Directions for Infant Identification and Intervention for Autism Spectrum Disorder from a Transdiagnostic Perspective

By the time they are typically detected, neurodevelopmental disorders like autism spectrum disorder (ASD) are already challenging to treat. Preventive and early intervention strategies in infancy are critical for improving outcomes over the lifespan with significant cost savings. However, the impact of prevention and early intervention efforts is dependent upon our ability to identify infants most appropriate for such interventions. Because there may be significant overlap between prodromal symptoms across neurodevelopmental disorders and child psychopathology more broadly which may wax and wane across development, we contend that the impact of prevention and early intervention efforts will be heightened by identifying early indicators that may overlap across ASD and other commonly co-occurring disorders. This paper summarizes the existing literature on infant symptoms and identification of ASD to demonstrate the ways in which a transdiagnostic perspective could expand the impact of early identification and intervention research and clinical efforts, and to outline suggestions for future empirical research programs addressing current gaps in the identification-to-treatment pipeline. We propose four recommendations for future research that are both grounded in developmental and clinical science and that are scalable for early intervention systems: (1) development of fine-grained, norm-referenced measures of ASD-relevant transdiagnostic behavioral domains; (2) identification of shared and distinct mechanisms influencing the transition from risk to disorder; (3) determination of key cross-cutting treatment strategies (both novel and extracted from existing approaches) effective in targeting specific domains across disorders; and (4) integration of identified measures and treatments into existing service systems.