Suicidal Thoughts and Behaviors Among Children and Adolescents With Autism Spectrum Disorder.

This survey study uses data from the Mental Health and Suicidal Behaviors Questionnaire to examine the age at onset of suicidal thoughts and behaviors among children and adolescents aged 8 to 17 years who have been diagnosed with autism spectrum disorder (ASD).

Availability of Services and Caregiver Burden: Supporting Individuals With Neurogenetic Conditions During the COVID-19 Pandemic.

Because of the COVID-19 pandemic, in-person services for individuals with neurodevelopmental disabilities were disrupted globally, resulting in a transition to remote delivery of services and therapies. For individuals with neurogenetic conditions, reliance on nonclinical caregivers to facilitate all therapies and care was unprecedented. The study aimed to (1) describe caregivers' reported impact on their dependent's services, therapies, medical needs, and impact on themselves as a result of the COVID-19 pandemic and (2) assess the relationship between the extent of disruption of services and the degree of self-reported caregiver burden. Two online questionnaires were completed by caregivers participating in Simons Searchlight in April and May 2020. Surveys were completed by caregivers of children or dependent adults with neurodevelopmental genetic conditions in Simons Searchlight. Caregivers reported that the impact of the COVID-19 pandemic moderately or severely disrupted services, therapies, or medical supports. The majority of caregivers were responsible for providing some aspect of therapy. Caregivers reported "feeling stressed but able to deal with problems as they arise," and reported lower anxiety at follow-up. Caregivers reported that telehealth services were not meeting the needs of those with complex medical needs. Future surveys will assess if and how medical systems, educational programs, therapists, and caregivers adapt to the challenges arising during the COVID-19 pandemic.

Information Avoidance and Information Seeking Among Parents of Children With ASD.

We estimated the effects of information avoidance and information seeking among parents of children diagnosed with autism spectrum disorder (ASD) on age of diagnosis. An online survey was completed by 1,815 parents of children with ASD. Children of parents who self-reported that they had preferred "not to know," reported diagnoses around 3 months later than other children. Children of parents who raised concerns that they perceived as having been dealt with adequately reported diagnoses about 4 months earlier, but the children of parents who reported raising concerns repeatedly and felt that those concerns were dealt with inadequately were diagnosed over a year later. These findings suggest that failure of educational and healthcare professionals, in either substituting for parents who avoid information, or supporting those who seek information, can significantly delay the age of diagnosis.

Clinical signs associated with earlier diagnosis of children with autism Spectrum disorder.

BACKGROUND: The objective of this study is to gain new insights into the relationship between clinical signs and age at diagnosis. METHOD: We utilize a new, large, online survey of 1743 parents of children diagnosed with ASD, and use multiple statistical approaches. These include regression analysis, factor analysis, and machine learning (regression tree). RESULTS: We find that clinical signs that most strongly predict early diagnosis are not necessarily specific to autism, but rather those that initiate the process that eventually leads to an ASD diagnosis. Given the high correlations between symptoms, only a few signs are found to be important in predicting early diagnosis. For several clinical signs we find that their presence and intensity are positively correlated with delayed diagnosis (e.g., tantrums and aggression). Even though our data are drawn from parents' retrospective accounts, we provide evidence that parental recall bias and/or hindsight bias did not play a significant role in shaping our results. CONCLUSION: In the subset of children without early deficits in communication, diagnosis is delayed, and this might be improved if more attention will be given to clinical signs that are not necessarily considered as ASD symptoms. Our findings also suggest that careful attention should be paid to children showing excessive tantrums or aggression, as these behaviors may interfere with an early ASD diagnoses.

Elopement Patterns and Caregiver Strategies.

The Interactive Autism Network (IAN) administered a survey to caregivers of children with Autism Spectrum Disorder (ASD) on their interventions for elopement behavior (EB). Data from 526 respondents were analyzed. Most families reported multiple interventions for EB and rated interventions overall as effective but burdensome. Several interventions such as fencing and window locks had favorable effectiveness/burden profiles. Tracking devices were used infrequently and rated as having low effectiveness. Behavioral specialists were commonly used, rated as effective, and most often provided by insurance. Medications were rated as having low effectiveness for EB, whether taken off-label for EB or for other reasons. Further study is needed to identify EB interventions that are effective, affordable, and easy to implement are needed.

Epilepsy and Autism Severity: A Study of 6,975 Children.

Epilepsy is known to occur in a higher-than-expected proportion of individuals with autism spectrum disorders (ASDs). Prior studies of this heterogeneous disorder have suggested that intelligence quotient (IQ) may drive this relationship. Because intellectual disability (ID) is, independently of ASD, a risk factor for epilepsy, current literature calls into question the long-understood unique relationship between ASD and epilepsy. Second, data have been unclear about whether developmental regression in ASD is associated with epilepsy. Using two cohorts from an online research registry, totaling 6,975 children with ASD, we examined the independent role of four ASD severity measures in driving the relationship with epilepsy: ID, language impairment, core ASD symptom severity, and motor dysfunction, controlling for two known relevant factors: age and sex. We also examined whether developmental regression and epilepsy have an independent statistical link. All four ASD severity factors showed independent statistical associations with epilepsy in one cohort, and three in the other. ID showed the largest relative risk (RR) in both cohorts. Effect sizes were modest. Regression similarly showed an independent statistical association with epilepsy, but with small effect size. Similar to previous work, ID showed the greatest contribution to RR for epilepsy among children with ASD. However, other ASD severity markers showed statistical associations, demonstrating that the ASD-epilepsy association is not reducible to the effect of ID. Inconsistencies in the literature may be due to underpowered studies, yet moving forward with larger-n studies, clinical significance and scientific relevance may be dictated by effect size and not merely statistical significance. Autism Res 2019, 12: 1251-1259. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Epilepsy is known to occur more often in individuals with autism spectrum disorders (ASDs) than is the case in the general population. The association between ASD and epilepsy is of interest because studying the two disorders in combination may help advance our understanding of genetic, molecular, and cellular mechanisms-as well as therapies-for both. Recent studies have suggested that intelligence quotient (IQ) alone in individuals with ASD may account for the increased prevalence of epilepsy. However, our approach was to look at a range of severity factors relevant to ASD and to look for correlations between each severity factor and epilepsy, within two large samples of children with ASD. In summary, we found that each severity factor-presence of intellectual disability, presence of language atypicalities, ASD-specific symptoms severity, and presence of motor issues-independently predicted a small increased risk for epilepsy, countering the argument that IQ alone is a risk factor. We also examined whether epilepsy is associated with developmental regression. Although severe epilepsy syndromes such as Landau-Kleffner syndrome are known to cause autistic-like symptoms following developmental regression, there is controversy about whether other forms of epilepsy are associated with the more common developmental regression seen in many young children with epilepsy. Indeed, we found a small association between epilepsy and developmental regression.

Sex differences in employment and supports for adults with autism spectrum disorder.

This study explored sex differences in employment, reasons for unemployment, benefits, and supports among a large, international sample of adults with autism spectrum disorder. The sample included 443 adults with autism spectrum disorder (60% female; 74% residing in the United States) who consented to be part of an autism research registry and completed an Internet survey. Outcome variables included current employment status, number of hours working, number of jobs in the past 5 years, reasons for unemployment, as well as the number of benefits received and the amount of financial support currently being received from families of origin. Using multiple regression models, we found that males and females were working at similar rates. Females were more likely than males to say that their unemployment was a result of choosing to withdraw from the labor market. Similar percentages of males and females reported receiving some form of benefits or family support, but of those receiving benefits/family support, males received more than females. These results are consistent with other studies finding subtle, but potentially important sex differences in life-course outcomes of individuals with autism spectrum disorder.

Anxiety and Mood Disorder in Children With Autism Spectrum Disorder and ADHD.

OBJECTIVES: Autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) frequently co-occur. Understanding the endophenotype of children with both ASD and ADHD may impact clinical management. In this study, we compare the comorbidity of anxiety and mood disorders in children with ASD, with and without ADHD. METHODS: We performed a cross-sectional study of children with ASD who were enrolled in the Interactive Autism Network, an Internet-mediated, parent-report, autism research registry. Children ages 6 to 17 years with a parent-reported, professional, and questionnaire-verified diagnosis of ASD were included. Data were extracted regarding parent-reported diagnosis and/or treatment of ADHD, anxiety disorder, and mood disorder. ASD severity was measured by using Social Responsiveness Scale total raw scores. RESULTS: There were 3319 children who met inclusion criteria. Of these, 1503 (45.3%) had ADHD. Comorbid ADHD increased with age (P < .001) and was associated with increased ASD severity (P < .001). A generalized linear model revealed that children with ASD and ADHD had an increased risk of anxiety disorder (adjusted relative risk 2.20; 95% confidence interval 1.97-2.46) and mood disorder (adjusted relative risk 2.72; 95% confidence interval 2.28-3.24) compared with children with ASD alone. Increasing age was the most significant contributor to the presence of anxiety disorder and mood disorder. CONCLUSIONS: Co-occurrence of ADHD is common in children with ASD. Children with both ASD and ADHD have an increased risk of anxiety and mood disorders. Physicians who care for children with ASD should be aware of the coexistence of these treatable conditions.

Analysis of Social Communication Questionnaire (SCQ) Screening for Children Less Than Age 4.

PURPOSE OF REVIEW: The Social Communication Questionnaire (SCQ) is a screener for Autism spectrum disorder (ASD) validated for age 4.0 +. There is a clinical need for an ASD screener for children beyond the 30-month age limit of the M-CHAT-R/F. We evaluate the literature on the use of the SCQ in children < 4.0 years. RECENT FINDINGS: Recent studies have used very large samples; included typically developing children, rather than just those with developmental disorders; compared the SCQ Lifetime and Current versions; and increased scrutiny of internal validity. SUMMARY: The sensitivity-specificity balance in distinguishing between ASD and other developmental disorders is poor, which has led to development of abbreviated versions of the SCQ; however, sensitivity-specificity balance is better in a more general population. The SCQ Lifetime (not Current) version should be used. Future research relating should focus on further validation of the SCQ as a screener for children 30-48 months.

Characterizing the daily life, needs, and priorities of adults with autism spectrum disorder from Interactive Autism Network data.

Using online survey data from a large sample of adults with autism spectrum disorder and legal guardians, we first report outcomes across a variety of contexts for participants with a wide range of functioning, and second, summarize these stakeholders' priorities for future research. The sample included n = 255 self-reporting adults with autism spectrum disorder aged 18-71 years (M = 38.5 years, standard deviation = 13.1 years) and n = 143 adults with autism spectrum disorder aged 18-58 years (M = 25.0 years, standard deviation = 8.2 years) whose information was provided by legal guardians. Although the self-reporting subsample had much higher rates of employment, marriage/partnership, and independent living than are typically seen in autism spectrum disorder outcome studies, they remained underemployed and had strikingly high rates of comorbid disorders. Data on both descriptive outcomes and rated priorities converged across subsamples to indicate the need for more adult research on life skills, treatments, co-occurring conditions, and vocational and educational opportunities. Stakeholders also placed priority on improving public services, health care access, and above all, public acceptance of adults with autism spectrum disorder. Findings must be interpreted in light of the self-reporting subsample's significant proportion of females and of later-diagnosed individuals. This study underscores the need for lifespan research; initiatives will benefit from incorporating information from the unique perspectives of adults with autism spectrum disorder and their families.

A Genetic Multimutation Model of Autism Spectrum Disorder Fits Disparate Twin Concordance Data from the USA and Canada.

Whether autism spectrum disorder (ASD) is caused by genetics, environmental factors, or a combination of both is still being debated today. To help resolve this issue, a genetic multimutation model of ASD development was applied to a wide variety of age-of-onset data from the USA and Canada, and the model is shown to fit all the data. Included in this analysis is new, updated data from the Interactive Autism Network (IAN) of the Kennedy Krieger Institute in Baltimore, Maryland. We find that the age-of-onset distribution for males and females is identical, suggesting that ASD may be an autosomal disorder. The ASD monozygote concordance rate in twin data predicted by the genetic multimutation model is shown to be compatible with the observed rates. If ASD is caused entirely by genetics, then the ASD concordance rate of a cohort of monozygote twins should approach 100% as the youngest pair of twins in the cohort passes 10 years of age, a prediction that constitutes a critical test of the genetic hypothesis. Thus, by measuring the ASD concordance rate as a cohort of monozygote twins age, the hypothesis that this disorder is caused entirely by genetic mutations can be tested.

Health care transition services for youth with autism spectrum disorders.

OBJECTIVE: Little is known about accessibility to health care transition (HCT) services (HCT) for youth with autism spectrum disorders (ASD). This study examined how often youth with ASD receive HCT services and how access varied by individual, family, and health system characteristics. METHOD: Questionnaires were completed by 101 parents of youth with ASD (ages 12-17 years) enrolled in a national online autism registry. Descriptive statistics and bivariate analysis were used to examine a composite HCT variable and its components. RESULTS: Fewer than 15% of youth received HCT services. Although 41% received at least 1 HCT discussion, only 3% received all 3. One-quarter had a discussion with their health care provider about transitioning to an adult provider, adult health care needs, or insurance retention, and 31% of providers encouraged youth to take on more responsibilities. Most caregivers reported not needing 1 or more of the discussions. RESULTS varied significantly when the sample was divided by age, with older youth more likely to have received transition services than younger adolescents. CONCLUSIONS: These findings indicate a significant disparity in access to HCT services for youth with ASD. Further research is needed to understand this disparity and develop interventions to improve HCT both for youth with ASD and those with other disabling health conditions. Additionally, many caregivers do not recognize the importance of HCT services. Education and training for caregivers, youth, and providers is essential to ensure all parties are working together to address transition issues early and often.

The relationship between the medical home and unmet needs for children with autism spectrum disorders.

The purpose of this study was to examine the relationship between having access to a medical home and unmet needs for specialty care services for children with autism spectrum disorders (ASD). Parents of children enrolled in a national autism registry were invited to complete an online Access to Care Questionnaire. The resulting sample consisted of 371 parents-child dyads. Bivariate and hierarchical regression analyses were conducted to determine whether having a medical home was associated with the number of unmet needs for specialty care. Less than one in five children with ASD had a medical home (18.9%). Nearly all parents reported that their child had a personal doctor or nurse as well as a usual source of care, but less than one-third received coordinated care (29.9%) and less than one-half received family-centered care (47.1%). Many children had unmet needs (63%), and the highest unmet need was for behavioral therapy. Having a medical home was associated with fewer unmet specialty care needs, even after demographic, child and family characteristics were taken into account. Children with ASD who have a medical home are more likely to have adequate access to needed services. Unfortunately, relatively few children have a medical home that includes family-centered and coordinated care. Enhancements in the delivery of primary care for children with ASD may make a real difference in access to needed specialty care services, potentially improving child and family outcomes.

Mood disorders in mothers of children on the autism spectrum are associated with higher functioning autism.

Mood disorders occur more frequently in family members of individuals with autism spectrum disorders (ASD) than in the general population. There may be associations between maternal mood disorder history patterns and specific ASD phenotypes. We therefore examined the relationship between maternal mood disorders and child autism spectrum disorders in 998 mother-child dyads enrolled in a national online autism registry and database. Mothers of children with ASD completed online questionnaires addressing their child's ASD as well as their own mood disorder history. In multivariate logistic regression models of ASD diagnoses, the odds of an Asperger disorder versus autistic disorder diagnosis were higher among those children whose mothers had a lifetime history of bipolar disorder (OR 2.11, CI 1.20, 3.69) or depression (OR 1.62, CI 1.19, 2.19). Further, maternal mood disorder onset before first pregnancy was associated with higher odds (OR 2.35, CI 1.48, 3.73) of an Asperger versus autism diagnosis among this sample of children with ASD. These data suggest that differences in maternal mood disorder history may be associated with ASD phenotype in offspring.

Verification of parent-report of child autism spectrum disorder diagnosis to a web-based autism registry.

Growing interest in autism spectrum disorder (ASD) research requires increasingly large samples to uncover epidemiologic trends; such a large dataset is available in a national, web-based autism registry, the Interactive Autism Network (IAN). The objective of this study was to verify parent-report of professional ASD diagnosis to the registry's database via a medical record review on a sample of IAN Research participants. Sixty-one percent of families agreed to participate; 98% (n = 116) of whom provided documentation verifying a professionally diagnosed ASD. Results of this study suggest that information collected from parents participating in IAN Research is valid, participants can be authenticated, and that scientists can both confidently use IAN data and recruit participants for autism research.

Accuracy of phenotyping of autistic children based on Internet implemented parent report.

While strong familial evidence supports a substantial genetic contribution to the etiology of autism spectrum disorders (ASD), specific genetic abnormalities have been identified in only a small minority of all cases. In order to comprehensively delineate the genetic components of autism including the identification of rare and common variants, overall sample sizes an order of magnitude larger than those currently under study are critically needed. This will require rapid and scalable subject assessment paradigms that obviate clinic-based time-intensive behavioral phenotyping, which is a rate-limiting step. Here, we test the accuracy of a web-based approach to autism phenotyping implemented within the Interactive Autism Network (IAN). Families who were registered with the IAN and resided near one of the three study sites were eligible for the study. One hundred seven children ascertained from this pool who were verbal, age 4-17 years, and had Social Communication Questionnaire (SCQ) scores > or =12 (a profile that characterizes a majority of ASD-affected children in IAN) underwent a clinical confirmation battery. One hundred five of the 107 children were ASD positive (98%) by clinician's best estimate. One hundred four of these individuals (99%) were ASD positive by developmental history using the Autism Diagnostic Interview-Revised (ADI-R) and 97 (93%) were positive for ASD by developmental history and direct observational assessment (Autism Diagnostic Observational Schedule or expert clinician observation). These data support the reliability and feasibility of the IAN-implemented parent-report paradigms for the ascertainment of clinical ASD for large-scale genetic research.

Psychotropic medication use among children with autism spectrum disorders enrolled in a national registry, 2007-2008.

Patterns of current psychotropic medication use among 5,181 children with autism spectrum disorders (ASD) enrolled in a Web-based registry were examined. Overall, 35% used at least one psychotropic medication, most commonly stimulants, neuroleptics, and/or antidepressants. Those who were uninsured or exclusively privately insured were less likely to use >or=3 medications than were those insured by Medicaid. Psychiatrists and neurologists prescribed the majority of psychotropic medications. In multivariate analysis, older age, presence of intellectual disability or psychiatric comorbidity, and residing in a poorer county or in the South or Midwest regions of the United States increased the odds of psychotropic medication use. Factors external to clinical presentation likely affect odds of psychotropic medication use among children with ASD.