Sleep Problems in Autism Spectrum Disorder.

Sleep problems are common in children with autism spectrum disorder (ASD), with 40% to 80% prevalence. Common disorders include insomnia, parasomnias, and circadian rhythm sleep-wake disorders. These problems have a multifactorial etiology and can both exacerbate and be exacerbated by core ASD symptoms. Sleep problems also impact the health and quality of life of both patients and their caregivers. All children with autism should be regularly screened for sleep problems and evaluated for co-occurring medical contributors. Behavioral interventions with caregiver training remain first-line treatment for sleep disorders in both neurotypical and neurodiverse youth.

Prevalence of autism spectrum disorder in a large pediatric primary care network.

LAY ABSTRACT: Historically, children from non-Hispanic Black and Hispanic backgrounds, those from lower-income families, and girls are less likely to be diagnosed with autism spectrum disorder. Under-identification among these historically and contemporaneously marginalized groups can limit their access to early, autism spectrum disorder-specific interventions, which can have long-term negative impacts. Recent data suggest that some of these trends may be narrowing, or even reversing. Using electronic health record data, we calculated autism spectrum disorder prevalence rates and age of first documented diagnosis across socio-demographic groups. Our cohort included children seen at young ages (when eligible for screening in early childhood) and again at least after 4 years of age in a large primary care network. We found that autism spectrum disorder prevalence was unexpectedly higher among Asian children, non-Hispanic Black children, children with higher Social Vulnerability Index scores (a measure of socio-economic risk at the neighborhood level), and children who received care in urban primary care sites. We did not find differences in the age at which autism spectrum disorder diagnoses were documented in children's records across these groups. Receiving primary care at an urban site (regardless of location of specialty care) appeared to account for most other socio-demographic differences in autism spectrum disorder prevalence rates, except among Asian children, who remained more likely to be diagnosed with autism spectrum disorder after controlling for other factors. We must continue to better understand the process by which children with autism spectrum disorder from traditionally under-identified and under-served backgrounds come to be recognized, to continue to improve the equity of care.

Autism Spectrum Disorder Screening During the COVID-19 Pandemic in a Large Primary Care Network.

OBJECTIVE: To assess the impact of the COVID-19 pandemic on screening for autism spectrum disorder (ASD) and screening equity among eligible children presenting for well-child care in a large primary care pediatric network, we compared rates of ASD screening completion and positivity during the pandemic to the year prior, stratified by sociodemographic factors. METHODS: Patients who presented for in-person well-child care at 16 to 26 months between March 1, 2020 and February 28, 2021 (COVID-19 cohort, n = 24,549) were compared to those who presented between March 1, 2019 and February 29, 2020 (pre-COVID-19 cohort, n = 26,779). Demographics and rates of completion and positivity of the Modified Checklist for Autism in Toddlers with Follow-up (M-CHAT/F) were calculated from the electronic health record and compared by cohort using logistic regression models. RESULTS: Total eligible visits decreased by 8.3% between cohorts, with a greater decline in Black and publicly insured children. In the pre-COVID-19 cohort, 89.0% of eligible children were screened at least once, compared to 86.4% during the pandemic (P < 0.001). Significant declines in screening completion were observed across all sociodemographic groups except among Asian children, with the sharpest declines among non-Hispanic White children. Sociodemographic differences were not observed in screen-positive rates by cohort. CONCLUSIONS: Well-child visits and ASD screenings declined across groups, but with different patterns by race and ethnicity during the COVID-19 pandemic. Findings regarding screen-completion rates should not be interpreted as a decline in screening disparities, given differences in who presented for care. Strategies for catch-up screening for all children should be considered.

Provider Responses to Positive Developmental Screening: Disparities in Referral Practices?

OBJECTIVES: Guidelines recommend universal screening for developmental concerns in young children in pediatric primary care, with referral to early intervention (EI) as early as possible for children with a positive screen. However, participation in EI differs by child race, ethnicity, language, and sex. This study evaluated disparities in rates of referral to EI and estimated the factors associated with referral before and immediately after a positive developmental screen. METHODS: Children seen in a large primary care network that has implemented universal developmental screening were included if they screened positive on the Survey of Well-being of Young Children (SWYC) Milestones during a 16- to 30-month well-child visit (n = 7358). Demographics, screening results, and referrals were extracted from the electronic health record. RESULTS: Among children who screened positive, 17.5% were already in EI, and 39.9% were referred to EI during the visit with positive screen; 42.5% were not referred. In adjusted regression, the following factors were associated with being in EI before the positive screen: lower SWYC score and being male, older, and White. The following factors were associated with new referral to EI during a visit with positive SWYC: having lower SWYC score or lower income and being male, older, and Black race. CONCLUSION: The finding that White children were more likely referred before developmental screening and non-White children more likely referred at the time of positive screen suggests that screening decreases disparities by increasing referral for children with developmental delays from traditionally underserved backgrounds.

Adherence to screening and referral guidelines for autism spectrum disorder in toddlers in pediatric primary care.

OBJECTIVES: Although the American Academy of Pediatrics recommends screening for autism spectrum disorder (ASD) for all young children, disparities in ASD diagnosis and intervention in minority children persist. One potential contributor to disparities could be whether physicians take different actions after an initial positive screen based on patient demographics. This study estimated factors associated with physicians completing the follow-up interview for the Modified Checklist for Autism in Toddlers with Follow-up (M-CHAT-F), and referring children to diagnostic services, audiology, and Early Intervention (EI) immediately after a positive screen. METHODS: Children seen in a large primary care network that has implemented universal ASD screening were included if they screened positive on the M-CHAT parent questionnaire during a 16-30 month well child visit (N = 2882). Demographics, screening results, and referrals were extracted from the electronic health record. RESULTS: Children from lower-income families or on public insurance were more likely to have been administered the follow-up interview. Among children who screened positive, 26% were already in EI, 31% were newly referred to EI, 11% were referred each to audiology and for comprehensive ASD evaluation. 40.2% received at least one recommended referral; 3.7% received all recommended referrals. In adjusted multivariable models, male sex, white versus black race, living in an English-speaking household, and having public insurance were associated with new EI referral. Male sex, black versus white race, and lower household income were associated with referral to audiology. Being from an English-speaking family, white versus Asian race, and lower household income were associated with referral for ASD evaluation. A concurrent positive screen for general developmental concerns was associated with each referral. CONCLUSIONS: We found low rates of follow-up interview completion and referral after positive ASD screen, with variations in referral by sex, language, socio-economic status, and race. Understanding pediatrician decision-making about ASD screening is critical to improving care and reducing disparities.

Adverse Childhood Experiences and Obesity Among Young Children with Neurodevelopmental Delays.

OBJECTIVES: Very little research has explored the complex relation between ACEs, poverty, and obesity in young children with neurodevelopmental delays. The purpose of this study was to examine whether ACEs predicted overweight/obesity in young children with neurodevelopmental delays after income was taken into account, and to examine the extent to which poverty moderated the relation between ACEs and overweight/obesity. METHODS: Participants were 180 children between the ages of 2 and 7 who were referred for a developmental and behavioral pediatrics evaluation (mean age 4.5 years old; 76% male) in the northeast United States. Parents completed a survey about their child's ACEs, and an electronic health record review was conducted. RESULTS: ACEs did not directly predict obesity after income was taken into account. However, poverty moderated the relation between ACEs and obesity, such that when children experienced no ACEs, there was no difference in the rates of obesity between children above and below the poverty threshold. Among children who did experience ACEs, children who also lived in poverty had higher rates of obesity than children who did not live in poverty. CONCLUSIONS FOR PRACTICE: Children with neurodevelopmental delays are at greater risk for overweight/obesity if they experience both risk factors of being in poverty and of experiencing ACEs. When conducting screenings, providers should understand that the impact of ACEs may vary by contextual factors such as poverty. More research is needed to identify factors that can mitigate the impact of poverty and ACEs on children's physical health.

Autism Spectrum Disorder and Transition-Aged Youth.

PURPOSE OF REVIEW: This article discusses common issues surrounding transition to adulthood in youth with autism spectrum disorder (ASD). We review recent evidence on co-occurring medical and mental health conditions and topics of education and employment, sexuality and relationships, independent living, and financial support. RECENT FINDINGS: Transitioning individuals with ASD have increased risk for several medical and behavioral health comorbidities and should be routinely screened for co-occurring conditions. Evidence on interventions for mental health disorders is limited but emerging, particularly with respect to mindfulness training and cognitive behavioral therapy. Many autistic adults or their families express a desire for independent living, participation in education/employment, and intimacy and social relationships, but they often lack skills and/or resources to successfully achieve these outcomes. The time of transition to adulthood for adolescents with ASD is an opportunity for physicians to provide anticipatory guidance and necessary supports around issues of community participation. To allow time for planning, these discussions should occur well before the child reaches adulthood. Clinicians should also routinely screen for and address medical and/or behavioral health comorbidities.

Assessment and Treatment of Anxiety in Youth With Autism Spectrum Disorders.

OBJECTIVES: Anxiety is one of the most prevalent co-occurring symptoms in youth with autism spectrum disorder (ASD). The assessment and treatment recommendations proposed here are intended to help primary care providers with the assessment and treatment of anxiety in ASD. METHODS: The Autism Speaks Autism Treatment Network/Autism Intervention Research on Physical Health Anxiety Workgroup, a multidisciplinary team of clinicians and researchers with expertise in ASD, developed the clinical recommendations. The recommendations were based on available scientific evidence regarding anxiety treatments, both in youth with ASD and typically developing youth, and clinical consensus of the workgroup where data were lacking. RESULTS: Assessment of anxiety requires a systematic approach to evaluating symptoms and potential contributing factors across various developmental levels. Treatment recommendations include psychoeducation, coordination of care, and modified cognitive-behavioral therapy, particularly for children and adolescents with high-functioning ASD. Due to the limited evidence base in ASD, medications for anxiety should be prescribed cautiously with close monitoring of potential benefits and side effects. CONCLUSIONS: Assessment and treatment of clinical anxiety in youth with ASD require a standardized approach to improve outcomes for youth with ASD. Although this approach provides a framework for clinicians, clinical judgment is recommended when making decisions about individual patients.

Sleep Difficulties and Medications in Children With Autism Spectrum Disorders: A Registry Study.

OBJECTIVES: Sleep difficulties are common in children with autism spectrum disorders, with wide-ranging effects on the child's daytime behavior. We reviewed data within our Autism Speaks Autism Treatment Network Registry to determine the prevalence of sleep difficulties and patterns of medication use. METHODS: Data from 1518 children ages 4 to 10 years were analyzed to determine the number of children documented to have sleep difficulties by parent-completed questionnaires and clinician-completed forms and how these findings related to the use of sleep medications. RESULTS: The Children's Sleep Habits Questionnaire total score was ≥41 (associated with clinically significant sleep problems in past research) in 71% of children. The prevalence of sleep diagnoses was less frequent (30% of children aged 4-10 years; P < .0001). Medications for sleep were prescribed in 46% of 4- to 10-year-olds given a sleep diagnosis. The most common medication used for sleep was melatonin followed by α-agonists, with a variety of other medications taken for sleep (anticonvulsants, antidepressants, atypical antipsychotics, and benzodiazepines). Children taking medications for sleep had worse daytime behavior and pediatric quality of life than children not taking sleep medications. CONCLUSIONS: Parent concerns about sleep may not be reflected in the information gathered during a clinic visit, supporting the need to develop screening practice pathways for sleep in autism spectrum disorders. Furthermore, many medications taken for sleep have adverse effects, supporting the need for evidence-based interventions in this population.

A systematic review of treatments for anxiety in youth with autism spectrum disorders.

This study systematically examined the efficacy and safety of psychopharmacological and non-psychopharmacological treatments for anxiety in youth with autism spectrum disorders (ASD). Four psychopharmacological, nine cognitive behavioral therapy (CBT), and two alternative treatment studies met inclusion criteria. Psychopharmacological studies were descriptive or open label, sometimes did not specify the anxiety phenotype, and reported behavioral activation. Citalopram and buspirone yielded some improvement, whereas fluvoxamine did not. Non-psychopharmacological studies were mainly randomized controlled trials (RCTs) with CBT demonstrating moderate efficacy for anxiety disorders in youth with high functioning ASD. Deep pressure and neurofeedback provided some benefit. All studies were short-term and included small sample sizes. Large scale and long term RCTs examining psychopharmacological and non-psychopharmacological treatments are sorely needed.

Identifying learning problems in children evaluated for ADHD: the Academic Performance Questionnaire.

OBJECTIVE: The objective of this study was to assess the usefulness of the Academic Performance Questionnaire (APQ) to identify low reading and math achievement in children who are being evaluated for attention-deficit/hyperactivity disorder (ADHD). METHODS: Charts of 997 patients who were seen in a multidisciplinary ADHD evaluation program were reviewed. Patients who were in first-through sixth-grade and had complete APQ and Wechsler Individual Achievement Test II Basic Reading and Numerical Operations subtests were enrolled in this study. The 271 eligible patients were randomly assigned to a score-development group (n = 215) and a validation group (n=56). By using data from the score-development sample, APQ questions that predicted low academic achievement were identified and the scores for these questions were entered into a logistic regression to identify the APQ questions that independently predicted low achievement. RESULTS: Only 2 APQ questions, 1 about reading and 1 about math, independently predicted low achievement. By using these 2 questions, the area under the receiver operating characteristic curve was 0.834, and the optimal combination of sensitivity and specificity occurred when the total score for the 2 items was >4. This cutoff had a sensitivity of 0.86 and a specificity of 0.63 in the score-development group and a sensitivity of 1.0 and a specificity of 0.53 in the validation sample. CONCLUSIONS: The APQ may be a useful screening tool to identify children being evaluated for ADHD who need additional testing for learning problems. Although the predictive value of a negative screen on the APQ is good, the predictive value of a positive test is relatively low.