Child maltreatment in autism spectrum disorder and intellectual disability: results from a population-based sample.

BACKGROUND: Children with developmental disabilities are at heightened risk for maltreatment. However, little is known regarding the prevalence of maltreatment among specific groups, such as autism spectrum disorder (ASD) and/or intellectual disability (ID). Information about maltreatment in these groups can aid in the development of supports and prevention strategies for vulnerable children and their families. METHODS: Using record linkage between the Department of Social Services (DSS) and the Autism and Developmental Disabilities Monitoring (ADDM) network, this study compares the prevalence and characteristics of maltreatment among children with ASD-only (n = 316), ASD and comorbid ID (ASD+ID; n = 291), ID-only (n = 1,280), and controls (n = 3,101). Behavioral correlates of maltreatment are examined. RESULTS: Controlling for demographic factors, this study found significantly higher odds of reported and substantiated maltreatment among children with ASD-only (odds ratio = 1.86 for reported, 1.51 for substantiated), ASD+ID (odds ratio = 2.35 for reported, 1.97 for substantiated), and ID-only (odds ratio = 2.45 for reported, 2.49 for substantiated) relative to a population control group, with large effects. In particular, children with ASD+ID and ID-only were between two and three times more likely to experience maltreatment. All groups were more likely to experience physical neglect, and children in the ASD+ID and ID-only groups were more likely to experience all forms of abuse. Children in the ASD-only group were more likely to experience physical abuse. Maltreated children in the ASD-only and ID-only groups experienced more cases of physical abuse and neglect, and were victimized by more perpetrators compared to other maltreated youth. Maltreatment was associated with higher likelihood of aggression, hyperactivity, and tantrums for children with ASD. CONCLUSIONS: Children with ASD and/or ID are at heightened risk for maltreatment. Empirically-supported assessment and intervention approaches for identifying and addressing traumatic stress related to maltreatment in ASD are urgently needed.

Comparison of Methods for Identifying Phenotype Subgroups Using Categorical Features Data With Application to Autism Spectrum Disorder.

We evaluate the performance of the Dirichlet process mixture (DPM) and the latent class model (LCM) in identifying autism phenotype subgroups based on categorical autism spectrum disorder (ASD) diagnostic features from the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition Text Revision. A simulation study is designed to mimic the diagnostic features in the ASD dataset in order to evaluate the LCM and DPM methods in this context. Likelihood based information criteria and DPM partitioning are used to identify the best fitting models. The Rand statistic is used to compare the performance of the methods in recovering simulated phenotype subgroups. Our results indicate excellent recovery of the simulated subgroup structure for both methods. The LCM performs slightly better than DPM when the correct number of latent subgroups is selected a priori. The DPM method utilizes a maximum a posteriori (MAP) criterion to estimate the number of classes, and yielded results in fair agreement with the LCM method. Comparison of model fit indices in identifying the best fitting LCM showed that adjusted Bayesian information criteria (ABIC) picks the correct number of classes over 90% of the time. Thus, when diagnostic features are categorical and there is some prior information regarding the number of latent classes, LCM in conjunction with ABIC is preferred.

Pancytopenia due to Restrictive Food Intake in an Autistic Adult.

Autism spectrum disorder (ASD) is a neuro-behavioral syndrome that develops in childhood and can be comorbid with restrictive and avoidant food intake disorder. This case details a young man who was hospitalized with pancytopenia due to restrictive nutritional intake related to his severe ASD. He was found to have undetectable vitamin B12 levels. His blood counts improved with transfusion, nutritional supplementation, and dental care. This report illustrates the importance of understanding ASD and potential medical complications of related behaviors.

Young Adults with Autism Spectrum Disorder and the Criminal Justice System.

This study describes charges, outcomes, and recidivism in both the juvenile and adult criminal justice systems (CJS) for young adults aged 17 to 23 years with autism spectrum disorder (ASD; n = 606). Results are compared to individuals with ID (n = 1271) and a population control group (n = 2973). About 3% of individuals with ASD were charged with at least one offense by the time they reached young adulthood. Few differences were found in CJS involvement across groups. Young adults with ASD were not over represented in the CJS in general, and were less likely to be involved in the adult justice system than their peers. They received similar charges and outcomes and were as likely to reoffend as their peers.

Emergency department utilization and monetary charges in adolescents with autism spectrum disorder, intellectual disability, and a population comparison group.

Adolescents with autism spectrum disorder (ASD) and/or intellectual disability (ID) may utilize the emergency department (ED) more frequently than individuals in the general population. This study compared ED utilization and charges during adolescence among four groups of individuals: ASD-only, ASD + ID, ID-only, and a population comparison (PC) group. ED visits occurring during age 12-17 years were examined to identify non, low, and high utilizers. Logistic regression was used to compare groups on the odds of having at least one ED visit during adolescence. Generalized linear models were used to compare groups on number of ED visits and total charges, stratified by low and high ED utilization. Descriptive examination of presenting diagnoses was performed. Individuals with ID, with or without co-occurring ASD, were significantly more likely to have at least one ED visit during adolescence. Among high ED utilizers, the ID-only group had the most frequent ED visits but had significantly lower charges than the ASD-only group. Individuals with ASD-only and ASD + ID differed from the ID-only and PC groups in presenting diagnoses. No differences between groups in number of ED visits or charges were observed among low utilizers. ID, with or without ASD, increased the odds of visiting the ED during adolescence. Adolescents with ID-only had the most frequent ED visits, but individuals with ASD-only had the highest ED charges and tended to be seen for psychiatric concerns. Further research is warranted to better characterize and meet the healthcare needs of individuals with ASD and/or ID during adolescence. Autism Res 2019, 12: 1129-1138. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Frequent emergency department (ED) visits strain medical resources and are costlier than primary and urgent care. Our findings show that adolescents with intellectual disability (ID) may use the ED frequently for nonurgent conditions. Adolescents with autism spectrum disorder, without ID, use the ED less frequently but incur higher charges. Further research is needed to understand how to meet the unique needs of these populations in primary care to prevent overuse of the ED.

Ambulatory Care Sensitive Admissions in Individuals With Autism Spectrum Disorder, Intellectual Disability, and Population Controls.

Ambulatory care sensitive (ACS) admissions are those for which effective primary care can prevent the need for emergency department (ED) visits and inpatient hospitalizations, and are an indicator of primary care access. Individuals with autism spectrum disorder (ASD) and/or intellectual disability (ID) may be at higher risk for ACS admissions than individuals in the general population due to difficulty accessing primary care. The objective of this study was to compare the incidence of ACS admissions among four cohorts of individuals aged 2-24 years: ASD without co-occurring ID (ASD-only), ASD with co-occurring ID (ASD + ID), ID without ASD (ID-only), and population controls (PC). Data from ED visits and inpatient hospitalizations occurring between January 1, 2000 and December 31, 2015 were examined to identify ACS admissions. Generalized linear models were used to examine differences between cohorts on the number of ACS ED visits and inpatient hospitalizations. Results revealed the ASD + ID and ID-only cohorts had significantly higher rates of ACS inpatient hospitalizations than the PC cohort. Additionally, the ID-only cohort had higher rates of ACS ED visits than the PC cohort. The ASD-only and PC cohorts did not differ on incidence of ACS admissions. These findings suggest that presence of an ID with or without co-occurring ASD increased the risk for ACS inpatient hospitalizations, and presence of ID-only increased the risk for ACS ED visits. Future work should examine trajectories of ACS admissions over time and consider inclusion of additional characteristics that may elucidate reasons for differences in ACS admissions among these groups. Autism Res 2019, 12: 295-302 © 2018 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Preventable hospitalizations are a common indicator of problems with access to quality primary healthcare. Findings of this study suggest that individuals with intellectual disability, with or without autism spectrum disorder, have higher rates of preventable hospitalizations than the general population. Further research is needed to understand how to improve access to primary care and reduce preventable hospitalizations for this vulnerable population.

Pharmacotherapy of Autism Spectrum Disorder: Results from the Randomized BAART Clinical Trial.

The objective of this trial, Biomarkers in Autism of Aripiprazole and Risperidone Treatment (BAART), was to provide support and guidance for an evidence-based approach for the selection and monitoring of initial pharmacotherapy in patients with autism by assessing predictors of efficacy, tolerability, and safety. This randomized double-blind parallel-group study was conducted in three academic medical centers and a single private pediatric practice. Eighty children or adolescents (aged 6-17 yrs) with autistic disorder were enrolled, and 61 patients were randomized to the study drug. Of those patients, 51 completed the 10-week trial, and 31 completed an optional 12-week blinded extension phase. All patients were treated with 2 weeks of placebo before random assignment to receive aripiprazole (31 patients) or risperidone (30 patients) for 10 weeks. Sixteen placebo responders (20%) were excluded from further analysis. Drug dosing followed U.S. Food and Drug Administration (FDA) labeling, and weekly dosage adjustments were allowed until week 4; patients were then maintained on a fixed dose for 6 additional weeks. Safety, physical, and psychological assessments were recorded weekly or every 2 weeks. No significant differences in severity of illness between the aripiprazole and risperidone groups were noted at baseline. All patients significantly improved on the Aberrant Behavior Checklist-Irritability subscale after 1 week and continued for the remaining 9 weeks and the extension phase. Improvement was greatest in the risperidone group at every assessment period and was statistically significantly better than that in the aripiprazole group at weeks 3 and 6 (p<0.05). No dose-limiting adverse events occurred during the dose-titration period. Mean weight gain in the aripiprazole group was significantly less than that in the risperidone group at week 4 (0.62 vs 1.38 kg, p=0.033) and week 10 (1.61 vs 3.31 kg, p<0.001), but the difference became nonsignificant for the 31 patients completing the 3-month extension phase (4.36 vs 5.55 kg, p=0.26). Pharmacotherapy of patients with autism spectrum disorder resulted in behavioral improvement within 1 week and lasted at least 22 weeks. Weight gain occurred to a greater degree with risperidone than aripiprazole initially, but the differences became nonsignificant by the end of the trial. Our trial supports previous results of drug efficacy and safety in patients with autism spectrum disorder from other trials and extends the evidence-based support for choosing an FDA-approved drug for initial pharmacotherapy for autism spectrum disorder.

Prevalence and characteristics of children with autism-spectrum disorders.

PURPOSE: The purpose of this study was to determine the prevalence of autism spectrum disorders (ASD) and associated characteristics among 8-year-old children. METHODS: This is an ongoing active, population-based surveillance program conducted in South Carolina as part of the Centers for Disease Control and Prevention's Autism and Developmental Disabilities Monitoring Network. Cases from the state's first two study years (2000 and 2002) have been combined for analysis, resulting in surveillance of 47,726 children who are 8 years of age. RESULTS: A total of 295 children met criteria for ASD, yielding a prevalence of 6.2 per 1000. The racial distribution of cases was similar to that of 8-year-old children in the study area, with boys more commonly affected than girls (3.1:1). Seventy-nine percent of cases were served in special education, 36% of these under Autism classification. Analyses by gender showed differences in diagnostic criteria and intellectual functioning. Girls more often were cognitively impaired (IQ

Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2012.

PROBLEM/CONDITION: Autism spectrum disorder (ASD). PERIOD COVERED: 2012. DESCRIPTION OF SYSTEM: The Autism and Developmental Disabilities Monitoring (ADDM) Network is an active surveillance system that provides estimates of the prevalence and characteristics of ASD among children aged 8 years whose parents or guardians reside in 11 ADDM Network sites in the United States (Arkansas, Arizona, Colorado, Georgia, Maryland, Missouri, New Jersey, North Carolina, South Carolina, Utah, and Wisconsin). Surveillance to determine ASD case status is conducted in two phases. The first phase consists of screening and abstracting comprehensive evaluations performed by professional service providers in the community. Data sources identified for record review are categorized as either 1) education source type, including developmental evaluations to determine eligibility for special education services or 2) health care source type, including diagnostic and developmental evaluations. The second phase involves the review of all abstracted evaluations by trained clinicians to determine ASD surveillance case status. A child meets the surveillance case definition for ASD if one or more comprehensive evaluations of that child completed by a qualified professional describes behaviors that are consistent with the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision diagnostic criteria for any of the following conditions: autistic disorder, pervasive developmental disorder-not otherwise specified (including atypical autism), or Asperger disorder. This report provides ASD prevalence estimates for children aged 8 years living in catchment areas of the ADDM Network sites in 2012, overall and stratified by sex, race/ethnicity, and the type of source records (education and health records versus health records only). In addition, this report describes the proportion of children with ASD with a score consistent with intellectual disability on a standardized intellectual ability test, the age at which the earliest known comprehensive evaluation was performed, the proportion of children with a previous ASD diagnosis, the specific type of ASD diagnosis, and any special education eligibility classification. RESULTS: For 2012, the combined estimated prevalence of ASD among the 11 ADDM Network sites was 14.5 per 1,000 (one in 69) children aged 8 years. Estimated prevalence was significantly higher among boys aged 8 years (23.4 per 1,000) than among girls aged 8 years (5.2 per 1,000). Estimated ASD prevalence was significantly higher among non-Hispanic white children aged 8 years (15.3 per 1,000) compared with non-Hispanic black children (13.1 per 1,000), and Hispanic (10.2 per 1,000) children aged 8 years. Estimated prevalence varied widely among the 11 ADDM Network sites, ranging from 8.2 per 1,000 children aged 8 years (in the area of the Maryland site where only health care records were reviewed) to 24.6 per 1,000 children aged 8 years (in New Jersey, where both education and health care records were reviewed). Estimated prevalence was higher in surveillance sites where education records and health records were reviewed compared with sites where health records only were reviewed (17.1 per 1,000 and 10.4 per 1,000 children aged 8 years, respectively; p<0.05). Among children identified with ASD by the ADDM Network, 82% had a previous ASD diagnosis or educational classification; this did not vary by sex or between non-Hispanic white and non-Hispanic black children. A lower percentage of Hispanic children (78%) had a previous ASD diagnosis or classification compared with non-Hispanic white children (82%) and with non-Hispanic black children (84%). The median age at earliest known comprehensive evaluation was 40 months, and 43% of children had received an earliest known comprehensive evaluation by age 36 months. The percentage of children with an earliest known comprehensive evaluation by age 36 months was similar for boys and girls, but was higher for non-Hispanic white children (45%) compared with non-Hispanic black children (40%) and Hispanic children (39%). INTERPRETATION: Overall estimated ASD prevalence was 14.5 per 1,000 children aged 8 years in the ADDM Network sites in 2012. The higher estimated prevalence among sites that reviewed both education and health records suggests the role of special education systems in providing comprehensive evaluations and services to children with developmental disabilities. Disparities by race/ethnicity in estimated ASD prevalence, particularly for Hispanic children, as well as disparities in the age of earliest comprehensive evaluation and presence of a previous ASD diagnosis or classification, suggest that access to treatment and services might be lacking or delayed for some children. PUBLIC HEALTH ACTION: The ADDM Network will continue to monitor the prevalence and characteristics of ASD among children aged 8 years living in selected sites across the United States. Recommendations from the ADDM Network include enhancing strategies to 1) lower the age of first evaluation of ASD by community providers in accordance with the Healthy People 2020 goal that children with ASD are evaluated by age 36 months and begin receiving community-based support and services by age 48 months; 2) reduce disparities by race/ethnicity in identified ASD prevalence, the age of first comprehensive evaluation, and presence of a previous ASD diagnosis or classification; and 3) assess the effect on ASD prevalence of the revised ASD diagnostic criteria published in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition.

Improving Early Identification and Intervention for Children at Risk for Autism Spectrum Disorder.

OBJECTIVES: To provide an example of a successful, novel statewide effort to increase early identification of young children at risk for autism spectrum disorder (ASD) using a 2-tiered screening process with enhanced quality assessment, interagency policy collaboration and coordination. METHODS: The South Carolina Act Early Team (SCAET) provided focused collaboration among leaders representing state agencies, universities, health care systems, private organizations, and families to improve quality of life for children with ASD. Specific focus was on implementing policy changes and training to result in earlier identification and home-based behavioral intervention for young children at risk for ASD. RESULTS: Policy changes, training, and modified state agency practices were accomplished. Presumptive eligibility, on the basis of a 2-tiered screening process was implemented by BabyNet (South Carolina's Early Intervention Program) in collaboration with the lead agency for developmental disability services. There was a fivefold increase in children eligible for early intensive behavioral intervention without waiting for a diagnosis of ASD, avoiding long waits for diagnostic evaluations. Only 16 children (2.5%) were later found not to have ASD from a comprehensive evaluation. CONCLUSIONS: Improvements in early identification and intervention are feasible through collaborative policy change. The South Carolina Act Early Team and its key stakeholders committed to improving outcomes for this population used existing tools and methods in new ways to improve early identification of children with ASD and to make available evidence-based intervention services. This example should be replicable in other states with key stakeholders working collaboratively for the benefit of young children with ASD.

Prevalence of Autism Spectrum Disorders Among Children With Intellectual Disability.

Autism spectrum disorders (ASD) often co-occur with intellectual disability (ID) and are associated with poorer psychosocial and family-related outcomes than ID alone. The present study examined the prevalence, stability, and characteristics of ASD estimates in 2,208 children with ASD and ID identified through the South Carolina Autism and Developmental Disabilities Network. The prevalence of ASD in ID was 18.04%, relative to ASD rates of 0.60%-1.11% reported in the general South Carolina population. Compared to children with ASD alone, those with comorbid ID exhibited increased symptom severity and distinct DSM-IV-TR profiles. Further work is needed to determine whether current screening, diagnostic, and treatment practices adequately address the unique needs of children and families affected by comorbid ASD and ID diagnoses.

Reported History of Developmental Regression and Restricted, Repetitive Behaviors in Children with Autism Spectrum Disorders.

OBJECTIVE: Previous research on developmental regression in youth with autism spectrum disorders (ASD) has often been limited by the definition, assessment, and methodology used to evaluate and describe regression. This study sought to overcome these limitations by examining the prevalence, timing, and correlates of documented cases of developmental regression in a large, epidemiological sample of youth with ASD. METHOD: Utilizing a population-based surveillance methodology, this study includes 862 youth with ASD identified through abstraction and clinician record review. RESULTS: Approximately 21% of the sample had developmental regression documented in their medical or educational records with the mean age of regression being 24.2 ± 14.3 months. Youth with ASD and a history of regression were more likely to have comorbid intellectual disability, a prior community diagnosis of ASD, and be eligible for educational services as a student with autism. Youth with a documented history of regression also had higher rates of restricted, repetitive behaviors, such as stereotyped speech, nonfunctional routines/rituals, and sensory interests. CONCLUSION: Results suggest that youth with a history of regression are not only more likely to have comorbid intellectual disability but are also are more likely to have been previously diagnosed with ASD in the community, suggesting that development regression may play an important role in identifying children who are at the risk for ASD and need evaluation. Higher rates of restricted, repetitive behaviors in youth with a documented history of regression may also provide important insights into the relationship between ASD and developmental regression.

Screening and direct assessment methodology to determine the prevalence of autism spectrum disorders.

PURPOSE: Findings from the Centers for Disease Control and Prevention-sponsored Autism and Developmental Disabilities Monitoring (ADDM) network suggest a growing prevalence of autism spectrum disorders (ASDs). The rigorous ADDM record review methodology has provided valuable insight into the epidemiology of autism spectrum disorder (ASD), but recent studies using alternative methods have reported significantly higher prevalence estimates. The South Carolina Children's Educational Surveillance Study (SUCCESS) was designed to determine ASD prevalence via population-based screening and direct assessment and to compare prevalence results to ADDM and administrative prevalence counts. This article provides an overview of the methods used for this study. METHODS: SUCCESS involved a novel (first in the United States) population-based screening approach combined with direct assessment to determine ASD prevalence. RESULTS: SUCCESS results will be compared to those obtained via records-based surveillance (ADDM) and administrative counts in the same population of children. This article describes the methods for developing and implementing SUCCESS and rationale for major decisions. Procedures used to maximize participation and accurately determine case status are discussed. Study results will be available in 2016. CONCLUSIONS: Accurate reporting of ASD prevalence is important to researchers, health care providers, policy makers, and families. This study will clarify the findings of various methods used to estimate ASD prevalence.

Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years--Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2012.

PROBLEM/CONDITION: Autism spectrum disorder (ASD). PERIOD COVERED: 2012. DESCRIPTION OF SYSTEM: The Autism and Developmental Disabilities Monitoring (ADDM) Network is an active surveillance system that provides estimates of the prevalence and characteristics of ASD among children aged 8 years whose parents or guardians reside in 11 ADDM Network sites in the United States (Arkansas, Arizona, Colorado, Georgia, Maryland, Missouri, New Jersey, North Carolina, South Carolina, Utah, and Wisconsin). Surveillance to determine ASD case status is conducted in two phases. The first phase consists of screening and abstracting comprehensive evaluations performed by professional service providers in the community. Data sources identified for record review are categorized as either 1) education source type, including developmental evaluations to determine eligibility for special education services or 2) health care source type, including diagnostic and developmental evaluations. The second phase involves the review of all abstracted evaluations by trained clinicians to determine ASD surveillance case status. A child meets the surveillance case definition for ASD if one or more comprehensive evaluations of that child completed by a qualified professional describes behaviors that are consistent with the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision diagnostic criteria for any of the following conditions: autistic disorder, pervasive developmental disorder-not otherwise specified (including atypical autism), or Asperger disorder. This report provides ASD prevalence estimates for children aged 8 years living in catchment areas of the ADDM Network sites in 2012, overall and stratified by sex, race/ethnicity, and the type of source records (education and health records versus health records only). In addition, this report describes the proportion of children with ASD with a score consistent with intellectual disability on a standardized intellectual ability test, the age at which the earliest known comprehensive evaluation was performed, the proportion of children with a previous ASD diagnosis, the specific type of ASD diagnosis, and any special education eligibility classification. RESULTS: For 2012, the combined estimated prevalence of ASD among the 11 ADDM Network sites was 14.6 per 1,000 (one in 68) children aged 8 years. Estimated prevalence was significantly higher among boys aged 8 years (23.6 per 1,000) than among girls aged 8 years (5.3 per 1,000). Estimated ASD prevalence was significantly higher among non-Hispanic white children aged 8 years (15.5 per 1,000) compared with non-Hispanic black children (13.2 per 1,000), and Hispanic (10.1 per 1,000) children aged 8 years. Estimated prevalence varied widely among the 11 ADDM Network sites, ranging from 8.2 per 1,000 children aged 8 years (in the area of the Maryland site where only health care records were reviewed) to 24.6 per 1,000 children aged 8 years (in New Jersey, where both education and health care records were reviewed). Estimated prevalence was higher in surveillance sites where education records and health records were reviewed compared with sites where health records only were reviewed (17.1 per 1,000 and 10.7 per 1,000 children aged 8 years, respectively; p<0.05). Among children identified with ASD by the ADDM Network, 82% had a previous ASD diagnosis or educational classification; this did not vary by sex or between non-Hispanic white and non-Hispanic black children. A lower percentage of Hispanic children (78%) had a previous ASD diagnosis or classification compared with non-Hispanic white children (82%) and with non-Hispanic black children (84%). The median age at earliest known comprehensive evaluation was 40 months, and 43% of children had received an earliest known comprehensive evaluation by age 36 months. The percentage of children with an earliest known comprehensive evaluation by age 36 months was similar for boys and girls, but was higher for non-Hispanic white children (45%) compared with non-Hispanic black children (40%) and Hispanic children (39%). INTERPRETATION: Overall estimated ASD prevalence was 14.6 per 1,000 children aged 8 years in the ADDM Network sites in 2012. The higher estimated prevalence among sites that reviewed both education and health records suggests the role of special education systems in providing comprehensive evaluations and services to children with developmental disabilities. Disparities by race/ethnicity in estimated ASD prevalence, particularly for Hispanic children, as well as disparities in the age of earliest comprehensive evaluation and presence of a previous ASD diagnosis or classification, suggest that access to treatment and services might be lacking or delayed for some children. PUBLIC HEALTH ACTION: The ADDM Network will continue to monitor the prevalence and characteristics of ASD among children aged 8 years living in selected sites across the United States. Recommendations from the ADDM Network include enhancing strategies to 1) lower the age of first evaluation of ASD by community providers in accordance with the Healthy People 2020 goal that children with ASD are evaluated by age 36 months and begin receiving community-based support and services by age 48 months; 2) reduce disparities by race/ethnicity in identified ASD prevalence, the age of first comprehensive evaluation, and presence of a previous ASD diagnosis or classification; and 3) assess the effect on ASD prevalence of the revised ASD diagnostic criteria published in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition.

Age Differences in Emergency Department Visits and Inpatient Hospitalizations in Preadolescent and Adolescent Youth with Autism Spectrum Disorders.

This paper evaluated age differences in emergency department care and inpatient hospitalizations in 252 preadolescent and adolescent youth with autism spectrum disorders (ASDs; ages 9-18). Records from youth with ASDs were linked to acute care utilization records and were compared to a demographically similar comparison group of youth without ASDs (N = 1260). A particular focus was placed on utilization for psychiatric concerns and injuries or accidents. Results suggested that psychiatric care was more likely for youth with ASDs in both the preadolescent and adolescent cohorts versus comparison youth, with no significant differences between age cohorts. In contrast, results for the accident and injury categories suggested age-specific findings. Results suggest opportunities for prevention efforts for youth with ASDs.

Aberrant Behaviors and Co-occurring Conditions as Predictors of Psychotropic Polypharmacy among Children with Autism Spectrum Disorders.

OBJECTIVES: The purpose of this study was to identify rates and predictors of psychotropic medication polypharmacy among Medicaid-eligible children in South Carolina with autism spectrum disorder (ASD) from 2000 to 2008. METHODS: Population-based surveillance data were linked with state Medicaid records to obtain a detailed demographic, behavioral, educational, clinical, and diagnostic data set for all Medicaid-eligible 8-year-old children (n=629) who were identified and diagnosed with ASD using standardized criteria. Polypharmacy was defined as having interclass psychotropic medication claims overlapping for ≥30 consecutive days at any time during the 2-year study period. Multivariable logistic regression was used to model predictors of any polypharmacy, and for the three most common combinations. RESULTS: Overall, 60% (n=377) used any psychotropic medication, and 41% (n=153) of those had interclass polypharmacy. Common combinations were attention-deficit/hyperactivity disorder (ADHD) medications with an antidepressant (A/AD), antipsychotic (A/AP) or a mood stabilizer (A/MS). Black children had lower odds of any polypharmacy, as did those eligible for Medicaid because of income or being foster care versus those eligible because of disability. There were no significant associations between polypharmacy and social deficits in ASD for any combination, although children with communication deficits diagnostic of ASD had lower odds of any polypharmacy and A/AP polypharmacy. Children with argumentative, aggressive, hyperactive/impulsive, or self-injurious aberrant behaviors had higher odds of polypharmacy, as did children with diagnosed co-occurring ADHD, anxiety or mood disorders, or conduct/oppositional defiant disorder (ODD) in Medicaid records. CONCLUSIONS: Future research is warranted to investigate how child-level factors impact combination psychotropic medication prescribing practices and outcomes in ASD.

Rates and predictors of adherence to psychotropic medications in children with autism spectrum disorders.

Medication adherence in children is poor, particularly among those with chronic or mental health disorders. However, adherence has not been fully assessed in autism spectrum disorders (ASDs). The validated proportion of days covered method was used to quantify adherence to psychotropic medication in Medicaid-eligible children who met diagnostic criteria for ASD between 2000 and 2008 (N = 628). Among children prescribed attention deficit hyperactivity disorder (ADHD) medications, antidepressants, or antipsychotics, 44, 40 and 52 % were adherent respectively. Aggressive behaviors and abnormalities in eating, drinking, and/or sleeping, co-occurring ADHD, and the Medication Regimen Complexity Index were the most significant predictors of adherence rather than demographics or core deficits of ASD. Identifying barriers to adherence in ASD may ultimately lead to improved treatment outcomes.

The prevalence of youth with autism spectrum disorders in the criminal justice system.

Past surveys have reported high rates of youth with disabilities in the juvenile justice system, however, little research has examined the frequency with which youth with Autism spectrum disorders (ASD) are in contact with law enforcement. Using records linkage with the Department of Juvenile Justice and the South Carolina Law Enforcement Division and the South Carolina Autism and Developmental Disabilities Monitoring Program (SC ADDM), this study compares the frequency, type, and outcome of criminal charges for youth with ASD and non-ASD youth. Youth with ASD had higher rates of crimes against persons and lower rates of crimes against property. Youth with ASD were more likely to be diverted into pre-trial interventions and less likely to be prosecuted than comparison youth. When compared to the overall SC ADDM sample, charged youth were less likely to have comorbid intellectual disability.

High prescription drug use and associated costs among Medicaid-eligible children with autism spectrum disorders identified by a population-based surveillance network.

PURPOSE: We assessed medication use and associated costs among 8- and 15-year-old children with autism spectrum disorders (ASD) identified by the South Carolina Autism and Developmental Disabilities Monitoring (SCADDM) Network. METHODS: All Medicaid-eligible SCADDM-identified children with ASD from surveillance years 2006 and 2007 were included (n = 263). Children were classified as ASD cases when documented behaviors consistent with the DSM-IV-TR criteria for autistic disorder, Asperger disorder, or pervasive developmental disorder-not otherwise specified were present in health and education evaluation records. Medication and cost data were obtained by linking population-based and Medicaid data. RESULTS: All 263 SCADDM-identified children had Medicaid data available; 56% (n = 147) had a prescription of any type, 40% (n = 105) used psychotropic medication, and 20% (n = 52) used multiple psychotropic classes during the study period. Common combinations were (1) attention deficit hyperactivity disorder medications and an antihypertensive, antidepressant or antipsychotic; and (2) antidepressants and an antipsychotic. Multiple psychotropic classes were more common among older children. Both the overall distribution of the number of prescription claims and medication costs varied significantly by age. CONCLUSIONS: Results confirm that medication use in ASD, alone or in combination, is common, costly, and may increase with age.

Completeness of case ascertainment for surveillance of autism spectrum disorders using the autism developmental disabilities monitoring network methodology.

BACKGROUND: The Autism and Developmental Disabilities Monitoring Network (ADDM), sponsored by the Centers for Disease Control and Prevention, is the largest-scale project ever undertaken to identify the prevalence of Autism Spectrum Disorders (ASD) in the United States. OBJECTIVE: The objective of the present study was to examine the accuracy of the ADDM methodology in terms of completeness of case ascertainment; that is, to assess the success of the ADDM Network in identifying and accurately classifying all existing cases of ASD among 8-year-old children in the target study areas. METHODS: To accomplish this objective, the ADDM methodology was applied to a selected region of South Carolina for 8-year olds in 2000 (birth year 1992) and again seven years later for the same region and birth year. RESULTS: For this region and birth year, completeness of case ascertainment was high, with prevalence estimates of 7.6 per 1000 at both ages 8- and 15-years. For children common to both surveillance years, concordance in case status was also high (82%). CONCLUSIONS: Given that prevalence did not change within this region and birth year, continued research is needed to better understand the changes in prevalence estimates being found by the ADDM network across surveillance groups.