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Autistic individuals experience higher rates of psychiatric comorbidities than their peers. Camouflaging, the process through which individuals hide autistic traits, can be detrimental to mental health. This may be particularly true for autistic females, although research on sex differences in the relationship between camouflaging and mental health has focused on adults. The purpose of this study was to extend previous research on camouflaging and mental health through examining age, sex, autism diagnosis, and camouflaging as predictors of depression, anxiety, and stress levels in autistic and non-autistic adolescents. One hundred forty adolescents ages 13-18 years (62 non-autistic, 58 female) completed an online survey including measures of camouflaging, autistic traits, and internalizing symptoms. Hierarchical linear regression was used to examine age, sex, diagnosis, and camouflaging as predictors of internalizing symptoms. Findings suggest that level of camouflaging is an important predictor of depression, anxiety, and stress in autistic and non-autistic adolescents and that camouflaging may be particularly distressing for females, regardless of diagnosis. These findings inform our understanding of camouflaging and its consequences and point to future directions for support for autistic and non-autistic adolescents. Clinicians may consider interventions targeting social skills, self-acceptance, and self-esteem to reduce possible negative effects of camouflaging.

BackgroundHeterogeneous mental health outcomes during the COVID-19 pandemic are documented in the general population. Such heterogeneity has not been systematically assessed in youth with autism spectrum disorder (ASD) and related neurodevelopmental disorders (NDD). To identify distinct patterns of the pandemic impact and their predictors in ASD/NDD youth, we focused on pandemic-related changes in symptoms and access to services.MethodsUsing a naturalistic observational design, we assessed parent responses on the Coronavirus Health and Impact Survey Initiative (CRISIS) Adapted For Autism and Related neurodevelopmental conditions (AFAR). Cross-sectional AFAR data were aggregated across 14 European and North American sites yielding a clinically well-characterized sample of N = 1275 individuals with ASD/NDD (age = 11.0 ± 3.6 years; n females = 277). To identify subgroups with differential outcomes, we applied hierarchical clustering across eleven variables measuring changes in symptoms and access to services. Then, random forest classification assessed the importance of socio-demographics, pre-pandemic service rates, clinical severity of ASD-associated symptoms, and COVID-19 pandemic experiences/environments in predicting the outcome subgroups.ResultsClustering revealed four subgroups. One subgroup-broad symptom worsening only (20%)-included youth with worsening across a range of symptoms but with service disruptions similar to the average of the aggregate sample. The other three subgroups were, relatively, clinically stable but differed in service access: primarily modified services (23%), primarily lost services (6%), and average services/symptom changes (53%). Distinct combinations of a set of pre-pandemic services, pandemic environment (e.g., COVID-19 new cases, restrictions), experiences (e.g., COVID-19 Worries), and age predicted each outcome subgroup.LimitationsNotable limitations of the study are its cross-sectional nature and focus on the first six months of the pandemic.ConclusionsConcomitantly assessing variation in changes of symptoms and service access during the first phase of the pandemic revealed differential outcome profiles in ASD/NDD youth. Subgroups were characterized by distinct prediction patterns across a set of pre- and pandemic-related experiences/contexts. Results may inform recovery efforts and preparedness in future crises; they also underscore the critical value of international data-sharing and collaborations to address the needs of those most vulnerable in times of crisis.

Discernment of possible sex-based variations in presentations of autism spectrum disorder (ASD) symptoms is limited by smaller female samples with ASD and confounds with ASD ascertainment. A large national cohort of individuals with autism, SPARK, allowed parent report data to be leveraged to examine whether intrinsic child characteristics and extrinsic factors differentially impact males and females with ASD. Small but consistent sex differences in individuals with ASD emerged related to both intrinsic and extrinsic factors, with different markers for males and females. Language concerns in males may make discernment of ASD more straightforward, while early motor concerns in females may hamper diagnosis as such delays are not identified within traditional ASD diagnostic criteria.

[This corrects the article DOI: 10.3389/fpsyg.2022.927847.].

Increasing numbers of children with known genetic conditions and/or intellectual disability are referred for evaluation of autism spectrum disorder (ASD), highlighting the need to refine autism symptom measures to facilitate differential diagnoses in children with cognitive and language impairments. Previous studies have reported decreased specificity of ASD screening and diagnostic measures in children with intellectual disability. However, little is known about how cognitive and language abilities impact the measurement of specific ASD symptoms in this group. We aggregated a large sample of young children (N = 1196; aged 31-119 months) to examine measurement invariance of ASD symptoms among minimally verbal children within the context of the Autism Diagnostic Observation Schedule (ADOS) Module 1. Using confirmatory factor analysis (CFA) and moderated non-linear factor analysis (MNLFA), we examined how discrete behaviors were differentially associated with the latent symptom domains of social communication impairments (SCI) and restricted and repetitive behaviors (RRB) across spoken language levels and non-verbal mental age groupings. While the two-factor structure of SCI and RRB held consistently across language and cognitive levels, only partial invariance was observed for both ASD symptom domains of SCI and RRB. Specifically, four out of the 15 SCI items and one out of the three RRB items examined showed differential item functioning between children with "Few to No Words" and those with "Some Words"; and one SCI item and one RRB item showed differential item functioning across non-verbal mental age groups. Moreover, even after adjusting for the differential item functioning to reduce measurement bias across groups, there were still differences in ASD symptom domain scores across spoken language levels. These findings further underscore the influence of spoken language level on measurement of ASD symptoms and the importance of measuring ASD symptoms within refined spoken language levels, even among those with minimal verbal abilities.

Discernment of possible sex-based variations in presentations of autism spectrum disorder (ASD) symptoms is limited by smaller female samples with ASD and confounds with ASD ascertainment. A large national cohort of individuals with autism, SPARK, allowed parent report data to be leveraged to examine whether intrinsic child characteristics and extrinsic factors differentially impact males and females with ASD. Small but consistent sex differences in individuals with ASD emerged related to both intrinsic and extrinsic factors, with different markers for males and females. Language concerns in males may make discernment of ASD more straightforward, while early motor concerns in females may hamper diagnosis as such delays are not identified within traditional ASD diagnostic criteria., Author(s): Emily F. Dillon [sup.1] [sup.2] [sup.10] , Stephen Kanne [sup.3] [sup.11] , Rebecca J. Landa [sup.1] [sup.2] , Robert Annett [sup.4] , Raphael Bernier [sup.5] , Catherine Bradley [sup.6] [...]

ObjectiveSocial communication deficits associated with autism spectrum disorder (ASD) are commonly represented as a single behavioral domain. However, increased precision of measurement of social communication is needed to promote more nuanced phenotyping, both within the autism spectrum and across diagnostic boundaries.MethodA large sample (N = 1,470) of 4- to 10-year-old children was aggregated from across 4 data sources, and then randomly split into testing and validation samples. A total of 57 selected social communication items from 3 widely used autism symptom measures (the Autism Diagnostic Observation Scale [ADOS], Autism Diagnostic Interview-Revised [ADI-R], and Social Responsiveness Scale [SRS]) were analyzed in the multi-trait/multi-method factor analysis framework. The selected model was then confirmed with the validation sample.ResultsThe 4-substantive factor model, with 3 orthogonal method factors, was selected using the testing sample based on fit indices and then confirmed with the validation sample. Two of the factors, "Basic Social Communication Skills" and "Interaction Quality," were similar to those identified in a previous analysis of the ADOS, Module 3. Two additional factors, "Peer Interaction and Modification of Behavior" and "Social Initiation and Affiliation," also emerged. Factor scores showed nominal correlations with age and verbal IQ.ConclusionIdentification of subdimensions could inform the creation of better conceptual models of social communication impairments, including mapping of how the cascading effects of social communication deficits unfold in ASD versus other disorders. Especially if extended to include both older and younger age cohorts and individuals with more varying developmental levels, these efforts could inform phenotype-based exploration for biological and genetic mechanisms by pinpointing specific mechanisms that contribute to various types of social communication deficits.

A global pandemic has significantly impacted the ability to conduct diagnostic evaluations for autism spectrum disorder (ASD). In the wake of the coronavirus, autism centers and providers quickly needed to implement innovative diagnostic processes to adapt in order to continue serve patient needs while minimizing the spread of the virus. The International Collaborative for Diagnostic Evaluation of Autism (IDEA) is a grassroots organization that came together to discuss standards of care during the pandemic and to provide a forum wherein providers communicated decisions. This white paper is intended to provide examples of how different centers adjusted their standard approaches to conduct diagnostic evaluations for ASD during the pandemic and to provide insight to other centers as they go through similar challenges.

BackgroundConcerns have been raised that scores on standard measures of autism spectrum disorder (ASD) symptoms may differ as a function of sex. However, these findings are hindered by small female samples studied thus far. The current study evaluated if, after accounting for age, IQ, and language level, sex affects ASD severity estimates from diagnostic measures among children with ASD.MethodsData were obtained from eight sources comprising 27 sites. Linear mixed-effects models, including a random effect for site, were fit for 10 outcomes (Autism Diagnostic Observation Schedule [ADOS] domain-level calibrated severity scores, Autism Diagnostic Interview-Revised [ADI-R] raw scores by age-based algorithm, and raw scores from the two indices on the Social Responsiveness Scale [SRS]). Sex was added to the models after controlling for age, NVIQ, and an indicator for language level.ResultsSex significantly improved model fit for half of the outcomes, but least square mean differences were generally negligible (effect sizes [ES]

In "The Need for a Clinically Useful Schema of Social Communication," Blank et al. present an observation and coding method (The Initiating, Responding, Expectancy Violations [IREV] schema) for identifying "expectancy violations (EVs)," which may signal clinically significant departures from normal social communication behavior (eg, in individuals with autism spectrum disorder [ASD]).1 The authors point out that "historically, observation of a patient's (social communication) has not been part of the routine psychiatric mental status examination," and argue that this is an important missed opportunity for clinicians. Several direct observation methods exist for identifying and/or monitoring changes in social communication deficits associated with ASD.2 Despite their established diagnostic validity, it remains true that these measures used in isolation will result in a relatively high rate of "false positives"-usually comprising children who are better described with other diagnoses (eg, intellectual disability, language disorder, attention-deficit/hyperactivity disorder [ADHD]).2 This underscores the critical importance of context when interpreting observed social communication deficits.

Camouflaging includes strategies used by individuals to mask or hide autistic traits. Research has shown that both autistic and neurotypical individuals engage in camouflaging and that there may be sex differences in the reasons for camouflaging in autistic adults. The purpose of this qualitative study was to extend previous research on the lived experience of camouflaging through exploring camouflaging motivations and consequences in autistic and neurotypical adolescents through both questionnaires (n = 132) and semi-structured interviews (n = 19). Results revealed trends in camouflaging motivations and consequences by diagnosis and sex, as well as by sex within the autistic group. These findings further inform our understanding of camouflaging and why it may be reported as particularly detrimental for autistic females.

Special interests (SIs) are part of the diagnostic criteria for autism spectrum disorder (ASD). Though they can have both positive and negative effects on functioning and long-term outcomes, research on SIs is limited. This pilot study used a newly developed parent-report measure, the "Special Interest Survey," to characterize SIs in 1992 children with ASD. The mean number of current special interests reported was 9, with television, objects, and music being most commonly endorsed interests. The mean age of onset reported across all categories was 5.24 years, with duration of past interests most often exceeding 2 years. Age of onset, interference, and relative unusualness of the SI was varied across categories. Interference was significantly correlated with the unusualness of the SIs.

Studies have shown that Autism Spectrum Disorder (ASD) screening and diagnostic instruments may be affected by the presence of emotional and behavior problems (EBPs). This study assessed the impact of EBPs on the Modified Checklist for Autism in Toddlers, Revised with Follow-up (M-CHAT-R/F). Participants included 290 children, 18-48 months of age, referred for ASD-related concerns. Those diagnosed with ASD had significantly lower externalizing EBPs compared to those who were not diagnosed with ASD. More externalizing symptoms and younger age were significantly predictive of an M-CHAT-R/F final score. Sensitivity and specificity was impacted by the age of the child. These results suggest that combining measures that assess EBPs and autism core symptoms may improve accuracy in this referred population.

The ability to demonstrate and quantify changes in social communication skills has been hindered by a lack of existing measures with appropriate standardization and psychometric properties. Such a measure would be helpful for research in many populations but would be particularly crucial for detecting incremental changes in youth with neurodevelopmental disorders who might gain skills but still lag substantially behind same-age peers. Although study designs and statistical methods are under development to try to account for slow and/or nonlinear, but potentially meaningful, improvements,1 there is a dearth of measures designed to capture growth and loss of social communication skills. This opinion piece outlines the argument for such a measure and the primary issues to consider in its development.

A global pandemic has significantly impacted the ability to conduct diagnostic evaluations for autism spectrum disorder (ASD). In the wake of the coronavirus, autism centers and providers quickly needed to implement innovative diagnostic processes to adapt in order to continue serve patient needs while minimizing the spread of the virus. The International Collaborative for Diagnostic Evaluation of Autism (IDEA) is a grassroots organization that came together to discuss standards of care during the pandemic and to provide a forum wherein providers communicated decisions. This white paper is intended to provide examples of how different centers adjusted their standard approaches to conduct diagnostic evaluations for ASD during the pandemic and to provide insight to other centers as they go through similar challenges., Author(s): Jina Jang [sup.1] , Stormi Pulver White [sup.2] , Amy N. Esler [sup.3] , So Hyun Kim [sup.4] , Cheryl Klaiman [sup.2] , Jonathan T. Megerian [sup.1] , Amy [...]

Camouflaging is a process through which individuals mask autistic traits. Studies suggest autistic females may camouflage more than autistic males. However, research has focused on adults and includes few comparisons between autistic and neurotypical individuals. This study compared levels of camouflaging by sex and diagnosis in autistic and neurotypical adolescents. Females reported higher overall levels of camouflaging when not accounting for age. When accounting for age, an age by diagnosis interaction effect emerged. This possible effect of age on camouflaging has implications for understanding how camouflaging behaviors develop and warrants further exploration. Differences also emerged on behaviors labeled as masking and assimilation, subcomponents of camouflaging, with females appearing more similar to their neurotypical peers on behaviors related to social awareness.

This study aimed to characterize aggressive behaviors in autistic youths and to identify the social environment variables most strongly linked with aggression in this clinical population. Participants were 2142 caregivers of autistic youths (ages 6.0–17.9) recruited from autism research centers across the United States. Caregivers completed self‐report and behavior rating inventories that assessed both verbal and physical aggression as well as characteristics of the individual youths (sleep quality, gastrointestinal [GI] symptoms, and autism characteristics) and their families (caregiver stress, global family functioning, and sibling relations), peers (emotional bonding, number of friends), schools (academic functioning), and neighborhoods (perceived community safety). We used descriptive analyses to identify which aggressive acts were most common among autistic youths, and we performed bivariate correlations and multiple linear regression analyses to determine which characteristics of the youths and their social environments were most strongly linked with youth aggression. Verbally aggressive youth behaviors were endorsed by caregivers most frequently. Youth age and sex were not associated with verbal or physical aggression. A combination of youth and social environment characteristics accounted for 42.6% of the variance in verbal aggression and 26.0% of the variance in physical aggression. Thus, those characteristics most strongly linked with verbal and physical aggression were strained sibling relations, caregiver stress, youth sleep problems, and youth repetitive and restrictive behaviors. Viewed together, the results suggest that aggressive behaviors in autistic youths are associated with multiple characteristics pertaining to the individual youths and their immediate social environments. Implications for treatment and research are discussed. Lay Summary: This study examined how a range of different factors was related to verbal and physical aggression in a large sample of autistic youths. Boys and girls showed similar levels of aggressive behavior, and aggressive behavior was not strongly related to youth age. Out of a wide range of variables related to the youths and their social environments, we found that family dynamics, youth sleep problems, and repetitive/restrictive behaviors were most strongly linked with aggression. [ABSTRACT FROM AUTHOR]

Camouflaging includes strategies used by individuals to mask or hide autistic traits. Research has shown that both autistic and neurotypical individuals engage in camouflaging and that there may be sex differences in the reasons for camouflaging in autistic adults. The purpose of this qualitative study was to extend previous research on the lived experience of camouflaging through exploring camouflaging motivations and consequences in autistic and neurotypical adolescents through both questionnaires (n = 132) and semi-structured interviews (n = 19). Results revealed trends in camouflaging motivations and consequences by diagnosis and sex, as well as by sex within the autistic group. These findings further inform our understanding of camouflaging and why it may be reported as particularly detrimental for autistic females., Author(s): Courtney J. Bernardin [sup.1] , Erica Mason [sup.2] , Timothy Lewis [sup.3] , Stephen Kanne [sup.4] Author Affiliations: (1) grid.134936.a, 0000 0001 2162 3504, Department of Psychological Sciences, University [...]

The Autism Impact Measure (AIM) was designed to track incremental change in frequency and impact of core ASD symptoms. The current study examined the structural and convergent validity of the AIM in a large sample of children with ASD. The results of a series of exploratory and confirmatory factor analyses yielded a final model with five theoretically and empirically meaningful subdomains: Repetitive Behavior, Atypical Behavior, Communication, Social Reciprocity, and Peer Interaction. The final model showed very good fit both overall and for each of the five factors, indicating excellent structural validity. AIM subdomain scores were significantly correlated with measures of similar constructs across all five domains. The results provide further support for the psychometric properties of the AIM.

Special interests (SIs) are part of the diagnostic criteria for autism spectrum disorder (ASD). Though they can have both positive and negative effects on functioning and long-term outcomes, research on SIs is limited. This pilot study used a newly developed parent-report measure, the Special Interest Survey, to characterize SIs in 1992 children with ASD. The mean number of current special interests reported was 9, with television, objects, and music being most commonly endorsed interests. The mean age of onset reported across all categories was 5.24 years, with duration of past interests most often exceeding 2 years. Age of onset, interference, and relative unusualness of the SI was varied across categories. Interference was significantly correlated with the unusualness of the SIs., Author(s): Kerri P. Nowell [sup.1] , Courtney J. Bernardin [sup.2] , Cynthia Brown [sup.2] [sup.3] , Stephen Kanne [sup.1] Author Affiliations: (1) grid.134936.a, 0000 0001 2162 3504, Department of Health [...]

Despite the importance of expressive language for individuals with autism spectrum disorder (ASD), expressive language assessments are not consistently included in ASD research and many studies do not adequately describe participants' verbal abilities. A valid and efficient measure of expressive language would facilitate consistent reporting across ASD research studies and provide data for additional analyses. The current study developed a new Autism Diagnostic Observation Schedule (ADOS-2) expressive language score and examined convergent and divergent validity in a large, well-defined sample of children with ASD. This score was highly correlated with other measures of expressive language (including parent-report, direct assessment, and clinician ratings) and less strongly correlated with measures of receptive language and nonverbal cognitive ability, providing good evidence of convergent and divergent validity.

Differential diagnosis of autism spectrum disorder (ASD) is challenging, and uncertainty regarding a child's diagnosis may result in under-identification or prolonged diagnostic pathways. The current study examined diagnostic certainty, or how sure clinicians were that their diagnosis was accurate, among 478 toddler and preschool-aged children referred for possible ASD to academic medical specialty clinics. Overall, 60 percent of diagnoses were made with complete certainty. Clinicians were more certain when positively identifying ASD than ruling it out. Children presenting with a moderate (vs high or low) level of observable ASD symptoms were less likely to have a certain diagnosis. Further, clinicians rated less diagnostic certainty for older children, those with public insurance, and those with higher IQ and adaptive behavior abilities.

Studies have shown that Autism Spectrum Disorder (ASD) screening and diagnostic instruments may be affected by the presence of emotional and behavior problems (EBPs). This study assessed the impact of EBPs on the Modified Checklist for Autism in Toddlers, Revised with Follow-up (M-CHAT-R/F). Participants included 290 children, 18-48 months of age, referred for ASD-related concerns. Those diagnosed with ASD had significantly lower externalizing EBPs compared to those who were not diagnosed with ASD. More externalizing symptoms and younger age were significantly predictive of an M-CHAT-R/F final score. Sensitivity and specificity was impacted by the age of the child. These results suggest that combining measures that assess EBPs and autism core symptoms may improve accuracy in this referred population., Author(s): Kourtney Christopher [sup.1] [sup.5] , Somer Bishop [sup.2] , Laura Arnstein Carpenter [sup.3] , Zachary Warren [sup.4] , Stephen Kanne [sup.1] Author Affiliations: (1) grid.134936.a, 0000 0001 2162 3504, [...]

Camouflaging is a process through which individuals mask autistic traits. Studies suggest autistic females may camouflage more than autistic males. However, research has focused on adults and includes few comparisons between autistic and neurotypical individuals. This study compared levels of camouflaging by sex and diagnosis in autistic and neurotypical adolescents. Females reported higher overall levels of camouflaging when not accounting for age. When accounting for age, an age by diagnosis interaction effect emerged. This possible effect of age on camouflaging has implications for understanding how camouflaging behaviors develop and warrants further exploration. Differences also emerged on behaviors labeled as masking and assimilation, subcomponents of camouflaging, with females appearing more similar to their neurotypical peers on behaviors related to social awareness., Author(s): Courtney Jorgenson [sup.1] , Timothy Lewis [sup.2] , Chad Rose [sup.2] , Stephen Kanne [sup.3] Author Affiliations: (1) grid.134936.a, 0000 0001 2162 3504, Department of Psychological Sciences, University of [...]

PurposeTo characterize the clinical phenotype of the recurrent copy-number variation (CNV) at 1q21.1, we assessed the psychiatric and medical phenotypes of 1q21.1 deletion and duplication carriers ascertained through clinical genetic testing and family member cascade testing, with particular emphasis on dimensional assessment across multiple functional domains.MethodsNineteen individuals with 1q21.1 deletion, 19 individuals with the duplication, and 23 familial controls (noncarrier siblings and parents) spanning early childhood through adulthood were evaluated for psychiatric, neurologic, and other medical diagnoses, and their cognitive, adaptive, language, motor, and neurologic domains were also assessed. Twenty-eight individuals with 1q21.1 CNVs (15 deletion, 13 duplication) underwent structural magnetic resonance brain imaging.ResultsProbands with 1q21.1 CNVs presented with a range of psychiatric, neurologic, and medical disorders. Deletion and duplication carriers shared several features, including borderline cognitive functioning, impaired fine and gross motor functioning, articulation abnormalities, and hypotonia. Increased frequency of Autism Spectrum Disorder (ASD) diagnosis, increased ASD symptom severity, and increased prevalence of macrocephaly were observed in the duplication relative to deletion carriers, whereas reciprocally increased prevalence of microcephaly was observed in the deletion carriers.ConclusionsIndividuals with 1q21.1 deletions or duplications exhibit consistent deficits on motor and cognitive functioning and abnormalities in head circumference.Genet Med 18 4, 341-349.

The Autism Impact Measure (AIM) was designed to track incremental change in frequency and impact of core ASD symptoms. The current study examined the structural and convergent validity of the AIM in a large sample of children with ASD. The results of a series of exploratory and confirmatory factor analyses yielded a final model with five theoretically and empirically meaningful subdomains: Repetitive Behavior, Atypical Behavior, Communication, Social Reciprocity, and Peer Interaction. The final model showed very good fit both overall and for each of the five factors, indicating excellent structural validity. AIM subdomain scores were significantly correlated with measures of similar constructs across all five domains. The results provide further support for the psychometric properties of the AIM., Author(s): Micah O. Mazurek [sup.1] [sup.6] , Coleen Carlson [sup.2] , Mary Baker-Ericzén [sup.3] , Eric Butter [sup.4] [sup.5] , Megan Norris [sup.4] [sup.5] , Stephen Kanne [sup.6] Author Affiliations: [...]

BackgroundDeletion of the recurrent ~600 kb BP4-BP5 chromosomal region 16p11.2 has been associated with a wide range of neurodevelopmental outcomes.MethodsTo clarify the phenotype of 16p11.2 deletion, we examined the psychiatric and developmental presentation of predominantly clinically referred individuals, with a particular emphasis on broader autism phenotype characteristics in individuals with recurrent ~600 kb chromosome 16p11.2 deletions. Using an extensive standardized assessment battery across three clinical sites, 85 individuals with the 16p11.2 deletion and 153 familial control subjects were evaluated for symptom presentation and clinical diagnosis.ResultsIndividuals with the 16p11.2 deletion presented with a high frequency of psychiatric and developmental disorders (>90%). The most commonly diagnosed conditions were developmental coordination disorder, phonologic processing disorder, expressive and receptive language disorders (71% of individuals >3 years old with a speech and language-related disorder), and autism spectrum disorder. Individuals with the 16p11.2 deletion not meeting diagnostic criteria for autism spectrum disorder had a significantly higher prevalence of autism-related characteristics compared with the familial noncarrier control group. Individuals with the 16p11.2 deletion had a range of intellectual ability, but IQ scores were 26 points lower than noncarrier family members on average.ConclusionsClinically referred individuals with the 16p11.2 deletion have high rates of psychiatric and developmental disorders and provide a genetically well-defined group to study the emergence of developmental difficulties, particularly associated with the broader autism phenotype.

The transition from DSM-IV to DSM-5 criteria for autism spectrum disorder (ASD) sparked considerable concern about the potential implications of these changes. This study was designed to address limitations of prior studies by prospectively examining the concordance of DSM-IV and final DSM-5 criteria on a consecutive sample of 439 children referred for autism diagnostic evaluations. Concordance and discordance were assessed using a consistent diagnostic battery. DSM-5 criteria demonstrated excellent overall specificity and good sensitivity relative to DSM-IV criteria. Sensitivity and specificity were strongest for children meeting DSM-IV criteria for autistic disorder, but poor for those meeting criteria for Asperger's disorder and pervasive developmental disorder. Higher IQ, older age, female sex, and less pronounced ASD symptoms were associated with greater discordance.

Differential diagnosis of autism spectrum disorder (ASD) is challenging, and uncertainty regarding a child's diagnosis may result in under-identification or prolonged diagnostic pathways. The current study examined diagnostic certainty, or how sure clinicians were that their diagnosis was accurate, among 478 toddler and preschool-aged children referred for possible ASD to academic medical specialty clinics. Overall, 60 percent of diagnoses were made with complete certainty. Clinicians were more certain when positively identifying ASD than ruling it out. Children presenting with a moderate (vs high or low) level of observable ASD symptoms were less likely to have a certain diagnosis. Further, clinicians rated less diagnostic certainty for older children, those with public insurance, and those with higher IQ and adaptive behavior abilities., Author(s): Christina G. McDonnell [sup.1] , Catherine C. Bradley [sup.2] , Stephen M. Kanne [sup.3] , Clara Lajonchere [sup.4] , Zachary Warren [sup.5] , Laura A. Carpenter [sup.2] Author Affiliations: [...]

Extant data suggest that the cognitive profiles of individuals with ASD may be characterized by variability, particularly in terms of verbal intellectual functioning (VIQ) and non-verbal intellectual functioning (NVIQ) discrepancies. The "Differential Ability Scales, Second Edition" (DAS-II) has limited data available on its use with youth with ASD. The current study examined data from 2,110 youth with ASD in order to characterize performance on the DAS-II and to investigate potential discrepancies between VIQ and NVIQ. A larger proportion of individuals in the ASD sample had significant discrepancies between VIQ and NVIQ when compared to the normative sample [early years sample ?[superscript 2] (2) = 38.36; p < 0.001; school age sample ?[superscript 2] (2) = 13.48; p < 0.01]. Clinical and research implications are discussed.