Diagnosis of autism spectrum disorders in 2-year-olds: a study of community practice

Autism diagnosis in children and adolescents: A systematic review and meta-analysis of test accuracy

Accurate diagnosis of Autism Spectrum Disorder (ASD) is essential for appropriate care. This systematic review evaluated the accuracy of standardized structured tools in diagnosing ASD in children and adolescents. Searches were conducted on PubMed/MEDLINE, Embase, PsycINFO, Cochrane Library, and references. Certainty of evidence was evaluated according to the GRADE (Grading of Recommendations Assessment, Development and Evaluation) methodology. Thirty-two studies were included. Pooled data indicated different degrees of sensitivity (Se) and specificity (Sp) for Autism Diagnostic Interview-Revised (Se:.60 and Sp:.84), Autism Diagnostic Observation Schedule (Se:.91 and Sp:.74), Autism Diagnostic Observation Schedule -Second Edition (Se:.90 and Sp:.69), Autism Spectrum Rating Scales (Se:.66 and Sp:.86), Childhood Autism Rating Scale (Se:.85 and Sp:.94), Checklist for Autism Spectrum Disorder (Se:.91 and Sp:.98), Developmental, Dimensional and Diagnostic Interview-11 (Se:.96 and Sp:.50), and Gilliam Autism Rating Scale (Se:.50 and Sp:.78). Overall, certainty of the evidence was low and very low except for ADOS-2 (moderate). The results indicate a discrepancy between clinical judgment and the assessment derived from a standardized test when applying their thresholds, suggesting that the tests may not always fully align with the clinician's evaluation. Clinicians should apply diagnostic tools while considering their limitations in terms of their sensitivity, specificity, and certainty of evidence. Diagnostic tools should be regarded as adjunctive aids rather than comprehensive substitutes for diagnosis.

Early Identification of Autism Using Cry Analysis: A Systematic Review and Meta-analysis of Retrospective and Prospective Studies

Cry analysis is emerging as a promising tool for early autism identification. Acoustic features such as fundamental frequency (F0), cry duration, and phonation have shown potential as early vocal biomarkers. This systematic review and meta-analysis aimed to evaluate the diagnostic value of cry characteristics and the role of Machine Learning (ML) in improving autism screening. A comprehensive search of relevant databases was conducted to identify studies examining acoustic cry features in infants with an elevated likelihood of autism. Inclusion criteria focused on retrospective and prospective studies with clear cry feature extraction methods. A meta-analysis was performed to synthesize findings, particularly focusing on differences in F0, and assessing the role of ML-based cry analysis. The review identified eleven studies with consistent acoustic markers, including F0, phonation, duration, amplitude, and voice quality, as reliable indicators of neurodevelopmental differences associated with autism. ML approaches significantly improved screening precision by capturing non-linear patterns in cry data. The meta-analysis of six studies revealed a trend toward higher F0 in autistic infants, although the pooled effect size was not statistically significant. Methodological heterogeneity and small sample sizes were notable limitations across studies. Cry analysis holds promise as a non-invasive, accessible tool for early autism screening, with ML integration enhancing its diagnostic potential. However, the findings emphasize the need for large-scale, longitudinal studies with standardized methodologies to validate its utility and ensure its applicability across diverse populations. Addressing these gaps could establish cry analysis as a cornerstone of early autism identification.

Policies for Individuals With Autism: Gaps, Research, and Recommendations

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder characterized by social, behavioral, and learning challenges. Individuals with autism and their families often struggle to get an appropriate diagnosis and continuation of specialty services, including general healthcare, mental health and transition services, special education, employment, and social and emotional support. This paper presents information about the current policies and support mechanisms that exist to help these individuals and their families. This paper identifies the gaps and recommends areas of improvement based on evidence-based research and current data. ASD is a lifelong disability without a cure, but by constructing robust policies and providing enhanced support, the quality of lives of those with ASD and their families can be improved.

Are early social communication skills a harbinger for language development in infants later diagnosed autistic?-A longitudinal study using a standardized social communication assessment

The early emergence of social communication challenges and their impact on language in infants later diagnosed with autism has sparked many early intervention programs that target social communication skills. While research has consistently shown lower scores on social communication assessments in the first year of life, there is limited research at 12-months exploring associations between different dimensions of social communication and later language. Understanding associations between early social communication skills and language would enhance our ability to choose high priority intervention goals that will impact downstream language skills. The current study used a standardized assessment to profile social communication skills across 516 infants with a high (HL) or low likelihood (LL-Neg) for autism (84% White, 60% Male), based on the presence of a sibling with autism in the family. The primary aim of the study was to profile social communication skill development in the second year of life and to evaluate associations between social communication skills and later language. HL infants who met criteria for autism (HL-ASD, N = 81) demonstrated widespread reductions in social communication skills at 12-months compared to HL infants who did not meet criteria for autism (HL-Neg, N = 277) and LL-Neg (N = 158) infants. Across all infants in the study, those with better social communication skills at 12-months had better language at 24-months. However, within group analyses indicated that infants who met criteria for autism did not show this developmental coupling until 24-months-of-age at which point social communication was positively associated with downstream language skills. The cascading pattern of reduced social communication skills as well as overall significant positive associations with later language provide further evidence for the need to support developing social communication skills prior to formal autism diagnosis, a goal that could possibly be reached through pre-emptive interventions.

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.

Cortical Myelination in Toddlers and Preschoolers with Autism Spectrum Disorder

Intracortical myelin is thought to play a significant role in the development of neural circuits and functional networks, with consistent evidence of atypical network connectivity in children with autism spectrum disorders (ASD). However, little is known about the development of intracortical myelin in the first years of life in ASD, during the critical neurodevelopmental period when autism symptoms first emerge. Using T1-weighted (T1w) and T2-weighted (T2w) structural magnetic resonance imaging (MRI) in 21 young children with ASD and 16 typically developing (TD) children, ages 1.5 to 5.5 years, we demonstrate the feasibility of estimating intracortical myelin in vivo using the T1w/T2w ratio as a proxy. The resultant T1w/T2w maps were largely comparable with those reported in prior T1w/T2w studies in typically developing children and adults, and revealed no group differences between TD children and those with ASD. However, differential associations between T1w/T2w and age were identified in several early myelinated regions (e.g., visual, posterior cingulate, precuneus cortices) in the ASD and TD groups, with age-related increase in estimated myelin content across the toddler and preschool years detected in TD children, but not in children with ASD. The atypical age-related effects in intracortical myelin, suggesting a disrupted myelination in the first years of life in ASD, may be related to the aberrant brain network connectivity reported in young children with ASD in some of the same cortical regions and circuits. This article is protected by copyright. All rights reserved.

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.

Prognostic factors and predictors of outcome in children with autism spectrum disorder: the role of the paediatrician

BACKGROUND

Autism spectrum disorder is a complex condition with wide variation in type and severity that involves persistent challenges in social interaction, speech and nonverbal communication, restricted/repetitive behaviours and adaptive behaviours. In recent years, research has deepened the study of the predictive factors of optimal outcome, intended as indicators of positive trajectory in children with a previous diagnosis of autism who, after a therapeutic path, show a significant reduction in the "core" symptoms of autism and a positive evolution in social, adaptive, affective, and relational skills.

METHODS

The study included 40 children aged 21 to 66 months, enrolled between 2015 and 2016 for an autism spectrum disorder clinical suspicious. Children were re-evaluated after at least 2 years of therapy and they were divided into two groups: the ASD-ASD group included children with a confirmed diagnosis of ASD, and the ASD-OO comparison group included children who no longer met the criteria for an autism classification. The aim of this retrospective study was to investigate the presence of cognitive, emotional and relational predictors capable of predicting the presence of optimal outcome in with a diagnosis of autism; the predictors taken into consideration were the intelligence quotient, the play, the emotional contagion and the understanding of other's intentions. In this way, it is possible to support clinicians in defining a more complete diagnostic framework of autism, using assessment tools that can be administered quickly and therefore suitable for short observation sessions in paediatric patients.

RESULTS

The findings showed that 15 out of 40 children, after at least for 2 years, no longer fell into the diagnostic ASD category based on the ADOS-2, DSM-5 and clinical criteria. The children in the ASD-OO group initially had a higher IQ than those in the ASD-ASD group, lower severity of autistic symptoms, greater understanding of intentions, more emotional contagion, and better quality of play. The results suggest that the initial coexistence of skills in these areas at the time of the first diagnostic assessment may allow us to predict the possibility of achieving optimal outcome after 2 years of therapy.

CONCLUSIONS

The data of this study highlight the importance of considering, during assessment, intelligence quotient, play, emotional contagion, and understanding of the intentions of others as potential prognostic predictors that can become useful tools for clinicians and paediatricians. This allows us to focus attention, in both the diagnostic and prognostic phases, on emotional-relational variables that can support the clinician in defining a more complete diagnostic framework and in planning a more personalized therapeutic path.

Assessing the validity of administrative health data for the identification of children and youth with autism spectrum disorder in Ontario

Population‐level identification of children and youth with ASD is essential for surveillance and planning for required services. The objective of this study was to develop and validate an algorithm for the identification of children and youth with ASD using administrative health data. In this retrospective validation study, we linked an electronic medical record (EMR)‐based reference standard, consisting 10,000 individuals aged 1–24 years, including 112 confirmed ASD cases to Ontario administrative health data, for the testing of multiple case‐finding algorithms. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and corresponding 95% confidence intervals (CI) were calculated for each algorithm. The optimal algorithm was validated in three external cohorts representing family practice, education, and specialized clinical settings. The optimal algorithm included an ASD diagnostic code for a single hospital discharge or emergency department visit or outpatient surgery, or three ASD physician billing codes in 3 years. This algorithm's sensitivity was 50.0% (95%CI 40.7–88.7%), specificity 99.6% (99.4–99.7), PPV 56.6% (46.8–66.3), and NPV 99.4% (99.3–99.6). The results of this study illustrate limitations and need for cautious interpretation when using administrative health data alone for the identification of children and youth with ASD.

Lay Summary

We tested algorithms (set of rules) to identify young people with ASD using routinely collected administrative health data. Even the best algorithm misses more than half of those in Ontario with ASD. To understand this better, we tested how well the algorithm worked in different settings (family practice, education, and specialized clinics). The identification of individuals with ASD at a population level is essential for planning for support services and the allocation of resources. Autism Res 2021, 14: 1037–1045. © 2021 The Authors. Autism Research published by International Society for Autism Research published by Wiley Periodicals LLC.

Validation of the Developmental Check-In Tool for Low-Literacy Autism Screening

BACKGROUND

Persistent disparities exist in early identification of autism spectrum disorder (ASD) among children from low-income families who are racial and/or ethnic minorities and where English is not the primary language. Parental literacy and level of maternal education may contribute to disparities. The Developmental Check-In (DCI) is a visually based ASD screening tool created to reduce literacy demands and to be easily administered and scored across settings. In a previous study, the DCI showed acceptable discriminative ability between ASD versus non-ASD in a young, underserved sample at high-risk for ASD. In this study, we tested the DCI among an unselected, general sample of young underserved children.

METHODS

Six hundred twenty-four children ages 24 to 60 months were recruited through Head Start and Early Head Start. Parents completed the DCI, Modified Checklist for Autism in Toddlers, Revised with Follow-Up, and Social Communication Questionnaire. Children scoring positive on any measure received evaluation for ASD. Those screening negative on both Modified Checklist for Autism in Toddlers, Revised with Follow-Up and Social Communication Questionnaire were considered non-ASD.

RESULTS

Parents were primarily Hispanic, reported high school education or less, and had public or no insurance. The DCI demonstrated good discriminative power (area under the curve = 0.80), performing well across all age groups, genders, levels of maternal education, primary language, and included ethnic and racial groups. Item-level analyses indicated that 24 of 26 DCI items discriminated ASD from non-ASD.

CONCLUSIONS

The DCI is a promising ASD screening tool for young, underserved children and may be of particular value in screening for ASD for those with low literacy levels or with limited English proficiency.

Use of the TELE-ASD-PEDS for Autism Evaluations in Response to COVID-19: Preliminary Outcomes and Clinician Acceptability

The COVID-19 pandemic has caused unprecedented disruptions to healthcare, including direct impacts on service delivery related to autism spectrum disorder (ASD). Caregiver-mediated tele-assessment offers an opportunity to continue services while adhering to social distancing guidelines. The present study describes a model of tele-assessment for ASD in young children, implemented in direct response to disruptions in care caused by the COVID-19 pandemic. We present preliminary data on the outcomes and provider perceptions of tele-assessments, together with several lessons learned during the period of initial implementation.

Determinants of an autism spectrum disorder diagnosis in childhood and adolescence: Evidence from the UK Millennium Cohort Study

This study aimed to identify determinants of a late autism spectrum disorder diagnosis, including diagnoses made 'very late' (i.e., in adolescence), using the Millennium Cohort Study, a nationally representative population-based cohort in the United Kingdom. Children diagnosed with autism spectrum disorder by age 14 (N = 581) were included and grouped by the parent-reported timing of diagnosis: before school (up to age 5), during primary school (age 5-11) and during secondary school (age 11-14). Predictors of diagnostic timing, at the child, family and school levels, were investigated using multinomial logistic regression. Most (79%) children with autism spectrum disorder were diagnosed after school entry, and 28% were not diagnosed until secondary school. Among those not diagnosed until secondary school, 75% had been identified at age 5 years by a parent and/or teacher as having socio-behavioural difficulties. Being diagnosed after starting school was predicted by living in poverty (adjusted relative risk ratio: primary = 1.90, 95% confidence interval: 1.03-3.53; secondary = 2.15, 1.05-4.42) and/or having no initial parental concerns (primary = 0.32, 0.15-0.70; secondary = 0.19, 0.09-0.43). Having typical-range intelligence also predicted diagnosis during secondary school. The result indicates that those without cognitive delays and poorer children were at risk of 'very late' (i.e. adolescent) diagnosis. Strategies to promote earlier identification, targeting age at primary school entry, could help those more likely to be diagnosed late.Lay abstractDespite policy emphasis on early identification, many children with autism spectrum disorder are diagnosed late, with some being diagnosed as late as in adolescence. However, evidence on what determines the timing of autism spectrum disorder diagnosis including children diagnosed in adolescence is lacking. Understanding these determinants, particularly in those diagnosed later than is ideal, can inform the development of effective strategies to improve earlier identification of autism spectrum disorder. This study used a nationally representative population-based cohort in the United Kingdom to explore child, family and school level predictors of timing of autism spectrum disorder diagnosis. In the United Kingdom, 79% of the children with autism spectrum disorder were diagnosed after entering primary school and 28% during secondary school. Among those not diagnosed until secondary school, 75% had shown social difficulties noticed by parents and/or teachers at age 5 years. The results suggest that healthcare providers should be aware that, even for universal systems of care, those living in poverty and having higher intelligence are most likely to miss out on a timely diagnosis. Strategies to promote earlier identification among school-aged children, including targeting primary school entry age (i.e. around age 5) and that encouraging referrals for a formal assessment at the first report of concerns over the child's social development may benefit those children who would otherwise be diagnosed later.

ESSENCE-Q obtained in routine Japanese public child health check-ups may be a valuable tool in neurodevelopmental screening

AIM

Our aim was to extend the validity of a questionnaire developed for screening and identifying early symptomatic syndromes eliciting neurodevelopmental clinical examinations-questionnaire (ESSENCE-Q) in young children.

METHODS

Early symptomatic syndromes eliciting neurodevelopmental clinical examinations-questionnaire data for 207 children, living in Aki City, Japan, in 2014-2015, were obtained from mothers, public health nurses and psychologists at 20- and 40-month routine check-ups at child healthcare centres. These were checked against subsequent ESSENCE diagnoses made by physicians. Receiver operating characteristic curves were constructed, and the area under the curves was compared. Sensitivity, specificity, positive predictive values (PPVs) and negative predictive values were calculated at optimal cut-off values. The clinical utility index was also calculated.

RESULTS

When the ESSENCE-Q was used by public health nurses, it demonstrated good validity, in terms of high sensitivity and high NPVs, at the 20-month check-up, but not at 40 months. Psychologists demonstrated good validity at both ages, but mothers did not. Good negative utility indexes, indicating screening accuracy, were obtained from the psychologists at both check-ups and from nurses at 20 months.

CONCLUSION

The ESSENCE-Q results used by nurses and psychologists showed good validity. Future studies should confirm the effectiveness of this tool to identify children in need of clinical detailed neurodevelopmental assessment.

Early Identification of ASD Through Telemedicine: Potential Value for Underserved Populations

Increasing access to diagnostic services is crucial for identifying ASD in young children. We therefore evaluated a telemedicine assessment procedure. First, we compared telediagnostic accuracy to blinded gold-standard evaluations (n = 20). ASD cases identified via telemedicine were confirmed by in-person evaluation. However, 20% of children diagnosed with ASD in-person were not diagnosed via telemedicine. Second, we evaluated telediagnostic feasibility and acceptability in a rural catchment. Children (n = 45) and caregivers completed the telemedicine procedure and provided feedback. Families indicated high levels of satisfaction. Remote diagnostic clinicians diagnosed 62% of children with ASD, but did not feel capable of ruling-in or out ASD in 13% of cases. Findings support preliminary feasibility, accuracy, and clinical utility of telemedicine-based assessment of ASD for young children.

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.

Diagnostic tests for autism spectrum disorder (ASD) in preschool children

BACKGROUND

Autism spectrum disorder (ASD) is a behaviourally diagnosed condition. It is defined by impairments in social communication or the presence of restricted or repetitive behaviours, or both. Diagnosis is made according to existing classification systems. In recent years, especially following publication of the Diagnostic and Statistical Manual of Mental Disorders - Fifth Edition (DSM-5; APA 2013), children are given the diagnosis of ASD, rather than subclassifications of the spectrum such as autistic disorder, Asperger syndrome, or pervasive developmental disorder - not otherwise specified. Tests to diagnose ASD have been developed using parent or carer interview, child observation, or a combination of both.

OBJECTIVES

Primary objectives1. To identify which diagnostic tools, including updated versions, most accurately diagnose ASD in preschool children when compared with multi-disciplinary team clinical judgement.2. To identify how the best of the interview tools compare with CARS, then how CARS compares with ADOS.a. Which ASD diagnostic tool - among ADOS, ADI-R, CARS, DISCO, GARS, and 3di - has the best diagnostic test accuracy?b. Is the diagnostic test accuracy of any one test sufficient for that test to be suitable as a sole assessment tool for preschool children?c. Is there any combination of tests that, if offered in sequence, would provide suitable diagnostic test accuracy and enhance test efficiency?d. If data are available, does the combination of an interview tool with a structured observation test have better diagnostic test accuracy (i.e. fewer false-positives and fewer false-negatives) than either test alone?As only one interview tool was identified, we modified the first three aims to a single aim (Differences between protocol and review): This Review evaluated diagnostic tests in terms of sensitivity and specificity. Specificity is the most important factor for diagnosis; however, both sensitivity and specificity are of interest in this Review because there is an inherent trade-off between these two factors.Secondary objectives1. To determine whether any diagnostic test has greater diagnostic test accuracy for age-specific subgroups within the preschool age range.

SEARCH METHODS

In July 2016, we searched CENTRAL, MEDLINE, Embase, PsycINFO, 10 other databases, and the reference lists of all included publications.

SELECTION CRITERIA

Publications had to: 1. report diagnostic test accuracy for any of the following six included diagnostic tools: Autism Diagnostic Interview - Revised (ADI-R), Gilliam Autism Rating Scale (GARS), Diagnostic Interview for Social and Communication Disorder (DISCO), Developmental, Dimensional, and Diagnostic Interview (3di), Autism Diagnostic Observation Schedule - Generic (ADOS), and Childhood Autism Rating Scale (CARS); 2. include children of preschool age (under six years of age) suspected of having an ASD; and 3. have a multi-disciplinary assessment, or similar, as the reference standard.Eligible studies included cohort, cross-sectional, randomised test accuracy, and case-control studies. The target condition was ASD.

DATA COLLECTION AND ANALYSIS

Two review authors independently assessed all studies for inclusion and extracted data using standardised forms. A third review author settled disagreements. We assessed methodological quality using the QUADAS-2 instrument (Quality Assessment of Studies of Diagnostic Accuracy - Revised). We conducted separate univariate random-effects logistical regressions for sensitivity and specificity for CARS and ADI-R. We conducted meta-analyses of pairs of sensitivity and specificity using bivariate random-effects methods for ADOS.

MAIN RESULTS

In this Review, we included 21 sets of analyses reporting different tools or cohorts of children from 13 publications, many with high risk of bias or potential conflicts of interest or a combination of both. Overall, the prevalence of ASD for children in the included analyses was 74%.For versions and modules of ADOS, there were 12 analyses with 1625 children. Sensitivity of ADOS ranged from 0.76 to 0.98, and specificity ranged from 0.20 to 1.00. The summary sensitivity was 0.94 (95% confidence interval (CI) 0.89 to 0.97), and the summary specificity was 0.80 (95% CI 0.68 to 0.88).For CARS, there were four analyses with 641 children. Sensitivity of CARS ranged from 0.66 to 0.89, and specificity ranged from 0.21 to 1.00. The summary sensitivity for CARS was 0.80 (95% CI 0.61 to 0.91), and the summary specificity was 0.88 (95% CI 0.64 to 0.96).For ADI-R, there were five analyses with 634 children. Sensitivity for ADI-R ranged from 0.19 to 0.75, and specificity ranged from 0.63 to 1.00. The summary sensitivity for the ADI-R was 0.52 (95% CI 0.32 to 0.71), and the summary specificity was 0.84 (95% CI 0.61 to 0.95).Studies that compared tests were few and too small to allow clear conclusions.In two studies that included analyses for both ADI-R and ADOS, tests scored similarly for sensitivity, but ADOS scored higher for specificity. In two studies that included analyses for ADI-R, ADOS, and CARS, ADOS had the highest sensitivity and CARS the highest specificity.In one study that explored individual and additive sensitivity and specificity of ADOS and ADI-R, combining the two tests did not increase the sensitivity nor the specificity of ADOS used alone.Performance for all tests was lower when we excluded studies at high risk of bias.

AUTHORS' CONCLUSIONS

We observed substantial variation in sensitivity and specificity of all tests, which was likely attributable to methodological differences and variations in the clinical characteristics of populations recruited.When we compared summary statistics for ADOS, CARS, and ADI-R, we found that ADOS was most sensitive. All tools performed similarly for specificity. In lower prevalence populations, the risk of falsely identifying children who do not have ASD would be higher.Now available are new versions of tools that require diagnostic test accuracy assessment, ideally in clinically relevant situations, with methods at low risk of bias and in children of varying abilities.

The Developmental Check-In: Development and initial testing of an autism screening tool targeting young children from underserved communities

Children with autism spectrum disorder from low-income, minority families or those with limited English proficiency are diagnosed at a later age, or not at all, compared with their more advantaged peers. The Developmental Check-In is a new tool that could potentially be used to screen for autism that uses pictures to illustrate target behaviors. It was developed to enhance early identification of autism spectrum disorder in low literacy groups. The Developmental Check-In was tested in a sample of 376 children between the ages of 24 and 60 months, from underserved communities. It showed good ability to discriminate autism spectrum disorder from non-autism spectrum disorder (area-under-the-curve = 0.75) across the full age range represented in the sample. Twenty-six of the 28 Developmental Check-In items predicted the presence of autism spectrum disorder. Findings suggest that this pictorial tool may reduce linguistic and health literacy demands when screening for autism among vulnerable populations.

The Relationship Between Clinicians' Confidence and Accuracy, and the Influence of Child Characteristics, in the Screening of Autism Spectrum Disorder

The study examined the confidence accuracy relationship, and the influence of child characteristics on clinician confidence, when predicting a diagnosis of Autism Spectrum Disorder during screening of 125 referred children aged under 3.5 years. The diagnostic process included observation, interview, language and developmental testing. Clinical judgement accuracy was compared against final diagnosis for high and low confidence levels (with confidence assessed on a 0-100 % scale). We identified a significant CA relationship with predictive accuracy highest at confidence levels of 90-100 %. Parent report of unusual behaviors was the only significant independent predictor of confidence. Clinicians' confidence may be important when evaluating decisions to refer, or not to refer, children for further diagnostic assessment.

Brief Report: Evaluation of an Intelligent Learning Environment for Young Children with Autism Spectrum Disorder

Researchers are increasingly attempting to develop and apply innovative technological platforms for early detection and intervention of autism spectrum disorder (ASD). This pilot study designed and evaluated a novel technologically-mediated intelligent learning environment with relevance to early social orienting skills. The environment was endowed with the capacity to administer social orienting cues and adaptively respond to autonomous real-time measurement of performance (i.e., non-contact gaze measurement). We evaluated the system with both toddlers with ASD (n = 8) as well as typically developing infants (n = 8). Children in both groups were able to ultimately respond accurately to social prompts delivered by the technological system. Results also indicated that the system was capable of attracting and pushing toward correct performance autonomously without user intervention.

Zur Validität der deutschen Fassung der ADOS-2 unter Berücksichtigung von Geschlechtseffekten

Zusammenfassung. Fragestellung: Die deutschsprachige Version der Diagnostischen Beobachtungsskala für Autistische Störungen – 2 (ADOS-2) ist eine Revision der standardisierten Verhaltensbeobachtung für Personen mit dem Verdacht auf Vorliegen einer Autismus-Spektrum-Störung (ASS). Die Studie untersucht die diagnostische Güte der originalen und revidierten Algorithmen für die Module 1 bis 3. Methodik: An einer großen Inanspruchnahmepopulation (N = 1080, Alter 1.7–20.5 Jahre) wurde die Unterscheidungsfähigkeit der ADOS-2 zu relevanten Differenzialdiagnosen untersucht. Außerdem wurden Vergleiche bezüglich der diagnostischen Güte für beide Geschlechter getrennt vorgenommen. Ergebnisse: Der revidierte Algorithmus weist eine verbesserte Sensitivität (84.9 %) bei jedoch leicht reduzierter Spezifität (85.7 %) auf. Verbesserungen der ADOS-2 betreffen vor allem Fälle von frühkindlichem Autismus und die korrekte Klassifizierung von Mädchen. Der Einschluss von repetitiven, stereotypen Verhaltensweisen in den Algorithmus erhöht die korrekte Klassifikation in den Modulen 2 und 3. Für jüngere Kinder im Modul 1 ist dies jedoch nicht der Fall. Es zeigt sich darüber hinaus eine geringere Differenzierungsfähigkeit zu internalisierenden Störungen und Störungen des Sozialverhaltens. Schlussfolgerungen: Eine gute diagnostische Güte der ADOS-2 wurde vor allem für Kinder mit durchschnittlichen kognitiven Fähigkeiten gefunden. Die Ergebnisse sprechen für eine gute Anwendbarkeit der ADOS-2 für klinische Populationen. Voraussetzung ist jedoch eine sorgfältige und breite Diagnostik durch erfahrene Untersucher.

Schlüsselwörter: ADOS, Diagnostik von Autismus-Spektrum-Störungen, Sensitivität, Spezifität

Timeliness of Autism Spectrum Disorder Diagnosis and Use of Services Among U.S. Elementary School-Aged Children

OBJECTIVE

This study assessed the relationship of timeliness of autism spectrum disorder (ASD) diagnosis with current use of ASD-related services in a nationally representative sample of U.S. children.

METHODS

The Centers for Disease Control's (CDC's) Survey of Pathways to Diagnosis and Services was used to assess experiences of 722 children ages six to 11 with ASD. Bivariate and multivariate analyses were used to explore associations between age at ASD diagnosis and delay in ASD diagnosis and use of health services. Health services included current use of behavioral intervention (BI) therapy, school-based therapy, complementary and alternative medicine (CAM), and psychotropic medications.

RESULTS

Mean age at ASD diagnosis was 4.4 years, and mean diagnostic delay was 2.2 years. In adjusted analysis, older age at diagnosis (≥4 versus <4) was associated with lower likelihood of current BI or school-based therapy use and higher likelihood of current psychotropic medication use. Analyses that treated age at diagnosis as a continuous variable found that likelihood of current psychotropic medication use increased with older age at diagnosis. A delay of two or more years between parents' first discussion of concerns with a provider and ASD diagnosis was associated with higher likelihood of current CAM use. Likelihood of current CAM use increased as delay in diagnosis became longer.

CONCLUSIONS

Both older age at diagnosis and longer delay in diagnosis were associated with different health services utilization patterns among younger children with ASD. Prompt and early diagnosis may be associated with increased use of evidence-based therapies for ASD.

ESSENCE-Q - used as a screening tool for neurodevelopmental problems in public health checkups for young children in south Japan

BACKGROUND

Screening for developmental disorders is an important task for Child Health Care. The concept of ESSENCE (early symptomatic syndromes eliciting neurodevelopmental clinical examinations) was created to cover all types of early developmental disorders and the ESSENCE-Questionnaire (ESSENCE-Q containing 12 questions with possible total scores ranging from 0 to 22) was developed as a tool for early detection of these disorders. The aim of this study was to perform a validation study in a public health situation in Japan.

METHODS

The psychometric properties of the ESSENCE-Q, completed by mothers, public health nurses (PHNs), and psychologists at 18-month (n=143 children) and 36-month (n=149 children) checkups were evaluated in a small city of Japan. Results were validated against clinical ESSENCE diagnoses. Receiver operating characteristic curves were generated and compared by using the area under the curve (AUC). Optimal cutoff values were explored.

RESULTS

At the 18-month checkup, AUC by mothers was 0.72, by PHNs 0.86, and by psychologists 0.82. An optimal cutoff was 3 with a high negative predictive value (NPV). At the 36-month checkup, AUC by mothers was 0.57, by PHNs 0.82, and by psychologists 0.87. Optimal cutoff was 2 with high NPV.

CONCLUSION

The ESSENCE-Q completed by PHNs and psychologists had good diagnostic validity. The results suggested that almost all children scoring under cutoff would not have any ESSENCE problems/diagnoses.

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

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

Screening of Egyptian toddlers for autism spectrum disorder using an Arabic validated version of M-CHAT; report of a community-based study (Stage I)

BACKGROUND

Although there is a recommendation that toddlers be screened for Autism spectrum disorder (ASD) during their 18- and 24-month well-care child visits, diagnosis often occurs well after the child turns 4 years old. Such delayed diagnosis hinders the implementation of early intervention thus worsens the long-term prognosis of ASD.

OBJECTIVE

The current community-based study in its stage I aimed at early screening of Egyptian toddlers for ASD using an Arabic validated version of Modified Checklist for Autism in Toddlers (M-CHAT).

METHODOLOGY

A cross-sectional community-based descriptive study was carried out enrolling 5546 Egyptian toddlers. They were randomly recruited from those attending Primary Health Care Units in six Egyptian governorates with a fair representation of the urban, semi-urban, and rural Egyptian populations. An Arabic validated version of M-CHAT was used as a screening tool for ASD.

RESULTS

The current study revealed failure of M-CHAT (suspected to have ASD and needs further evaluation) in 1320 out of the enrolled 5546 Egyptian toddlers (23.8%).

CONCLUSION

M-CHAT as a screening tool for ASD has flagged a considerable percent of the enrolled toddlers that necessitates referral for further evaluation (stage II) to settle the diagnosis of ASD in the true positive cases. Perfecting the delicate balance between sensitivity and specificity for ASD screening tools is crucial in order not to miss early detection of ASD cases and at the same time, to avoid over-diagnosis with subsequent abuse of the limited healthcare resources in developing countries.

ESSENCE-Q - a first clinical validation study of a new screening questionnaire for young children with suspected neurodevelopmental problems in south Japan

BACKGROUND

Early identification of autism spectrum disorder, intellectual developmental disorder, attention-deficit/hyperactivity disorder, and other neurodevelopmental disorders/problems is crucial, yet diagnosis is often delayed for years under the often misguided "wait-and-see" paradigm. The early symptomatic syndromes eliciting neurodevelopmental clinical examinations-questionnaire (ESSENCE-Q) is a brief (12-item) screening questionnaire developed specifically for the purpose of speeding up the identification process of a wide variety of neurodevelopmental problems. The aims were to 1) estimate the reliability of the ESSENCE-Q, 2) evaluate the clinical cutoff levels suggested by the author of the ESSENCE-Q, and 3) propose optimal cutoff levels based on receiver operating characteristic analysis.

METHODS

The ESSENCE-Q was used for 1 year by a psychiatrist in Kochi, Japan, assessing children under the age of 6 years referred for developmental problems. The children were also clinically assessed with regard to whether or not they met criteria for a developmental disorder (diagnosis positive and diagnosis negative groups). We contrasted the results of the ESSENCE-Q and those of clinical diagnostic assessments in 130 cases.

RESULTS

Cronbach's alpha was 0.82, sensitivity was 0.94 (95% confidence interval [CI]: [0.88, 0.98]), and specificity 0.53 (95% CI: [0.28, 0.77]), which are reasonable psychometrics for a first-step screening tool. Based on receiver operating characteristic analysis, we recommended an optimal cutoff level of yes ≥2 or maybe/a little ≥3 on the ESSENCE-Q (0.87 (95% CI: [0.79, 0.92]) sensitivity and 0.77 (95% CI: [0.50, 0.93]) specificity).

CONCLUSION AND IMPLICATION

The ESSENCE-Q can be a good instrument for use as a screening tool for aiding in the process of early identification of neurodevelopmental disorders in clinical settings. To establish the broader validity and reliability of the ESSENCE-Q, case-control studies and general population studies of children in different age groups are needed.

The Screening Accuracy of the Parent and Teacher-Reported Social Responsiveness Scale (SRS): Comparison with the 3Di and ADOS

The screening accuracy of the parent and teacher-reported Social Responsiveness Scale (SRS) was compared with an autism spectrum disorder (ASD) classification according to (1) the Developmental, Dimensional, and Diagnostic Interview (3 Di), (2) the Autism Diagnostic Observation Schedule (ADOS), (3) both the 3 Di and ADOS, in 186 children referred to six mental health centers. The parent report showed excellent correspondence to an ASD classification according to the 3 Di and both the 3 Di and ADOS. The teacher report added significantly to the screening accuracy over and above the parent report when compared with the ADOS classification. Findings support the screening utility of the parent-reported SRS among clinically referred children and indicate that different informants may provide unique information relevant for ASD assessment.

A Pilot Study Examining the Use of the Autism Diagnostic Observation Schedule in Community-Based Mental Health Clinics

Community-based mental health (CMH) services play an important, but relatively understudied role in the identification and treatment of youth with autism spectrum disorder (ASD) who may be receiving care for other psychiatric conditions. Little is known about the role of standardized ASD assessment measures administered by providers working in generalist community-based mental health (CMH) settings. This pilot study extracted data from three CMH clinics to examine the use of the Autism Diagnostic Observation Schedule (ADOS) by 17 CMH providers who received ASD assessment training with 62 youth (Mean = 10.69 years) referred for an ASD diagnostic evaluation. Results indicated that 57% of youths assessed ultimately received an ASD diagnosis. All cases given a final ASD diagnosis were classified as "Autism" or "ASD" on the ADOS. Seventy percent of youth who did not receive a final ASD diagnosis were classified as "Non-Spectrum" on the ADOS. In these false positive cases, report narratives indicated that social communication difficulties identified on the ADOS were explained by symptoms of other mental health conditions (e.g., ADHD, anxiety). Future research is needed to examine the utility of the ADOS when used by CMH providers to facilitate CMH capacity to identify ASD.

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

Children with autism spectrum disorder (ASD) are diagnosed, on average, around the age of 4 years. However, previous research has shown that the diagnosis can be made as early as 2 years, and that if the child is seen a year or more later, it is highly likely that the diagnosis will be confirmed. In this study, to examine whether diagnoses made as early as 18 months of age are also "stable," we followed a group of younger siblings of children with ASD (who are known to be at higher risk). We also examined whether the age of ASD diagnosis within this high-risk group was related to the severity of children's ASD symptoms or developmental delays. Participants (n = 381) were seen at three ages: 18 months, 24 months, and 3 years. ASD symptoms, general development, and adaptive functioning were assessed at each time point. Twenty-three children were diagnosed with ASD at 18 months and a total of 61 at 24 months. Of these diagnoses, 19/23 (82.6%) and 56/61 (91.8%), respectively, were confirmed independently at 3 years. However, 45 children were diagnosed with ASD at 3 years who had not been identified at earlier visits. Children diagnosed at 18 months, in comparison to those diagnosed at 24 months, had less advanced language and adaptive skills at 18 months. Children not diagnosed with ASD until 3 years, compared with those diagnosed earlier, had more advanced language and adaptive skills, and milder ASD symptoms. Autism Res 2016, 9: 790-800. © 2015 International Society for Autism Research, Wiley Periodicals, Inc.

Timing of the Diagnosis of Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder

BACKGROUND AND OBJECTIVE

Symptoms of inattention, hyperactivity, and impulsivity are core features of attention-deficit/hyperactivity disorder (ADHD). However, children with autism spectrum disorder (ASD) often present with similar symptoms and may receive a diagnosis of ADHD first. We investigated the relationship between the timing of ADHD diagnosis in children with ASD and the age at ASD diagnosis.

METHODS

Data were drawn from the 2011-2012 National Survey of Children's Health, which asked parents to provide the age(s) at which their child received a diagnosis of ADHD and/or ASD. Using weighted prevalence estimates, we examined the association between a previous diagnosis of ADHD and the age at ASD diagnosis, while controlling for factors known to influence the timing of ASD diagnosis.

RESULTS

Our study consisted of 1496 children with a current diagnosis of ASD as reported by parents of children ages 2 to 17 years. Approximately 20% of these children had initially been diagnosed with ADHD. Children diagnosed with ADHD before ASD were diagnosed with ASD ∼3 years (95% confidence interval 2.3-3.5) after children in whom ADHD was diagnosed at the same time or after ASD. The children with ADHD diagnosed first were nearly 30 times more likely to receive their ASD diagnosis after age 6 (95% confidence interval 11.2-77.8). The delay in ASD diagnosis was consistent across childhood and independent of ASD severity.

CONCLUSION

To avoid potential delays in ASD diagnosis, clinicians should consider ASD in young children presenting with ADHD symptoms.

Using the M-CHAT-R/F to Identify Developmental Concerns in a High-Risk 18-Month-Old Sibling Sample

OBJECTIVE

Given the high autism spectrum disorder (ASD) recurrence risk in younger siblings, it is important to identify early ASD markers within this high-risk population. Although there is increasing evidence that the Modified Checklist for Autism in Toddlers-Revised, with Follow-Up Interview can identify many low-risk children during the second year of life, there has yet to be a study of how the M-CHAT-R/F functions in a high-risk sibling population at very young ages.

METHODS

As part of a larger population-based study, the authors screened 74 infant siblings with the Modified Checklist for Autism in Toddlers-Revised, with Follow-Up Interview at 18 months and assessed diagnoses between the ages of 18 and 43 months.

RESULTS

The M-CHAT-R/F had the highest positive predictive value for identifying children at risk of any developmental concern (i.e., ASD, language delay). Overall, 33% of siblings who presented for follow-up evaluations received ASD diagnoses with an additional 22% showing other developmental concerns.

CONCLUSION

Failing the M-CHAT-R/F at 18 months of age raises significant concern that a child will show some degree of developmental difference or delay over time. These findings highlight the need for close developmental monitoring of this high-risk sample.

[Screening interview for early detection of high-functioning autism spectrum disorders]

OBJECTIVE

Various different questionnaires are available for the screening of autism spectrum disorders (ASD). These screening instruments show high sensitivity and are able to identify a large number of individuals with ASD, but they lack the specificity to differentiate individuals with ASD from those children and adolescents with other complex neurobehavioural disorders (such as attention-deficit/hyperactivity disorder, emotional disorders, and others), especially for those without intellectual disabilities.

METHOD

The present study evaluates the data of 309 individuals (153 with high-functioning ASD, 156 with other psychiatric disorders, IQ > 70) to find out whether selected items of the ADI-R can be used for an economic and sensitive screening of high-functioning ASD.

RESULTS

The results show that 8 items of the ADI-R can be used to discriminate high-functioning ASD and other psychiatric disorders. A cutoff of 5 led to a sensitivity of 0.93 and a cutoff of 6 to a specificity of 0.74.

CONCLUSION

The combination of early onset, serious abnormalities in social contact with stereotyped or compulsive-ritualized behaviour or interests can be detected with few interview questions for screening of ASD. Nevertheless, a more detailed and specific assessment in an expert setting should follow the screening process.

Validity of the social communication questionnaire in adults with intellectual disabilities and suspected autism spectrum disorder

This study examined the validity of the Social Communication Questionnaire (SCQ) to identify autism spectrum disorder (ASD) in 151 adults with intellectual disabilities (ID) in Germany. Sensitivities and specificities for ASD were 98/47% for the SCQ-current version and 92/22% for the SCQ-lifetime version. Sensitivities and specificities were increased to 89/66% and 78/48% by adjusting the recommended cut-points. The SCQ-current score correlated with the Scale for Pervasive Developmental Disorders in Mentally Retarded Persons and the Autism Diagnostic Observation Schedule, whereas the SCQ-lifetime score correlated with the Autism Diagnostic Interview-Revised. Our findings support the use of the SCQ-current version for ASD screening in adults with ID, although the SCQ-lifetime version should be used with caution in this population.

Brief report: can metrics of reporting bias enhance early autism screening measures?

The goal of the current study was to develop and pilot the utility of two simple internal response bias metrics, over-reporting and under-reporting, in terms of additive clinical value within common screening practices for early detection of autism spectrum disorder risk. Participants were caregivers and children under 36 months of age (n = 145) participating in first-time diagnostic appointments across our clinical research center due to developmental concerns. Caregivers were asked to complete the Modified Checklist for Autism in Toddlers (MCHAT) as well as a questionnaire embedding six response bias indicator questions. These questions were items that in previous clinical studies had been endorsed by an overwhelming majority of parents within clinically identified populations. Results indicated that removal of self-reports indicative of potential response bias dramatically reduced both false positives and false negatives on the MCHAT within this sample. This suggests that future work developing internal metrics of response bias may be promising in addressing limits of current screening measures and practices.

The added value of the combined use of the Autism Diagnostic Interview-Revised and the Autism Diagnostic Observation Schedule: diagnostic validity in a clinical Swedish sample of toddlers and young preschoolers

The diagnostic validity of the new research algorithms of the Autism Diagnostic Interview-Revised and the revised algorithms of the Autism Diagnostic Observation Schedule was examined in a clinical sample of children aged 18-47 months. Validity was determined for each instrument separately and their combination against a clinical consensus diagnosis. A total of N = 268 children (n = 171 with autism spectrum disorder) were assessed. The new Autism Diagnostic Interview-Revised algorithms (research cutoff) gave excellent specificities (91%-96%) but low sensitivities (44%-52%). Applying adjusted cutoffs (lower than recommended based on receiver operating characteristics) yielded a better balance between sensitivity (77%-82%) and specificity (60%-62%). Findings for the Autism Diagnostic Observation Schedule were consistent with previous studies showing high sensitivity (94%-100%) and alongside lower specificity (52%-76%) when using the autism spectrum cutoff, but better balanced sensitivity (81%-94%) and specificity (81%-83%) when using the autism cutoff. A combination of both the Autism Diagnostic Interview-Revised (with adjusted cutoff) and the Autism Diagnostic Observation Schedule (autism spectrum cutoff) yielded balanced sensitivity (77%-80%) and specificity (87%-90%). Results favor a combined usage of the Autism Diagnostic Interview-Revised and Autism Diagnostic Observation Schedule in young children with unclear developmental problems, including suspicion of autism spectrum disorder. Evaluated separately, the Autism Diagnostic Observation Schedule (cutoff for autism) provides a better diagnostic accuracy than the Autism Diagnostic Interview-Revised.