The Autism Treatment Network: Bringing Best Practices to All Children With Autism.

The Autism Treatment Network and Autism Intervention Research Network on Physical Health were established in 2008 with goals of improving understanding of the medical aspects of autism spectrum disorders. Over the past decade, the combined network has conducted >2 dozen clinical studies, established clinical pathways for best practice, developed tool kits for professionals and families to support better care, and disseminated these works through numerous presentations at scientific meetings and publications in medical journals. As the joint network enters its second decade continuing this work, it is undergoing a transformation to increase these activities and accelerate their incorporation into clinical care at the primary care and specialty care levels. In this article, we describe the past accomplishments and present activities. We also outline planned undertakings such as the establishment of the Autism Learning Health Network, the increasing role of family members as co-producers of the work of the network, the growth of clinical trials activities with funding from foundations and industry, and expansion of work with primary care practices and autism specialty centers. We also discuss the challenges of supporting network activities and potential solutions to sustain the network.

Improving Behavior Challenges and Quality of Life in the Autism Learning Health Network.

OBJECTIVES: To summarize baseline data and lessons learned from the Autism Learning Health Network, designed to improve care and outcomes for children with autism spectrum disorder (ASD). We describe challenging behaviors, co-occurring medical conditions, quality of life (QoL), receipt of recommended health services, and next steps. METHODS: A cross-sectional study of children 3 to 12 years old with ASD receiving care at 13 sites. Parent-reported characteristics of children with ASD were collected as outcome measures aligned with our network's aims of reducing rates of challenging behaviors, improving QoL, and ensuring receipt of recommended health services. Parents completed a survey about behavioral challenges, co-occurring conditions, health services, and the Patient-Reported Outcomes Measurement Information System Global Health Measure and the Aberrant Behavior Checklist to assess QoL and behavior symptoms, respectively. RESULTS: Analysis included 530 children. Challenging behaviors were reported by the majority of parents (93%), frequently noting attention-deficit/hyperactivity disorder symptoms, irritability, and anxiety. Mean (SD) scores on the Aberrant Behavior Checklist hyperactivity and irritability subscales were 17.9 (10.5) and 13.5 (9.2), respectively. The Patient-Reported Outcomes Measurement Information System Global Health Measure total score of 23.6 (3.7) was lower than scores reported in a general pediatric population. Most children had received recommended well-child (94%) and dental (85%) care in the past 12 months. CONCLUSIONS: This baseline data (1) affirmed the focus on addressing challenging behaviors; (2) prioritized 3 behavior domains, that of attention-deficit/hyperactivity disorder, irritability, and anxiety; and (3) identified targets for reducing severity of behaviors and strategies to improve data collection.

Transforming an Autism Pediatric Research Network into a Learning Health System: Lessons Learned.

INTRODUCTION: The Autism Speaks Autism Treatment Network that serves as the Autism Intervention and Research Network on Physical Health (ATN/AIR-P) has a mission to improve the health and well-being of children with Autism Spectrum Disorder and determine the best practices that lead to improved outcomes and expedite the translation of findings to practice. To better achieve this mission, the ATN/AIR-P is engaging in a design process to transition to a Learning Network (LN), the Autism Learning Health Network. The purpose of this paper is to: (1) make the medical and patient communities aware of an Autism LN that is based on the Institute of Medicine's definition of a Learning Health System; (2) describe how and why the ATN/AIR-P transformed to an LN; and (3) share lessons learned that might inform the transition of future existing networks surrounding other conditions. METHODS: Design methods included: an in-person design session with various stakeholders, the development of a Key Driver Diagram and redesign of organizational processes, network governance, and data collection and analytics. RESULTS: We realized many benefits in making the transition to an LN along with many lessons that can inform the design and implementation of the LN model when transforming existing networks to learning health systems. CONCLUSIONS: Transitioning a well-established research network requires a complex redesign of existing processes, data infrastructure, and cultural shifts compared with developing a new LN. We identified factors that may inform the transition of future established networks to expedite the process.

The Autism Speaks Autism Treatment Network Registry Data: Opportunities for Investigators.

OBJECTIVE: Patient registries can effectively collect data over a long period of time to provide a better understanding of the typical presentation of specific conditions. The autism spectrum disorders (ASDs) have experienced a marked increase in reported prevalence over the past 20 years for reasons that are not completely clear. The Autism Treatment Network (ATN) Registry was established to facilitate investigations into a variety of questions critical to expanding our understanding of ASDs. Here we describe the establishment of the registry, its components, some of its findings to date, and opportunities for further use of this data. METHODS: Participants are eligible for enrollment into the ATN registry if they are between the ages of 2.0 and 17.6 years at the time of enrollment and meet criteria for ASD as determined by clinical consensus on the basis of specific diagnostic measures (Autism Diagnostic Observation Schedule/Autism Diagnostic Observation Schedule, Second Edition; Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition/Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition). Baseline measures include demographics, autism assessment, cognitive assessment data, behavioral data, sleep habits, quality of life, sensory data, and treatments. Several of the measures are collected at annual follow-up visits. RESULTS: More than 6800 children with ASD have been enrolled in the Autism Speaks ATN registry. Data from the registry have been reported at numerous scientific meetings and in several publications and have led to new recommendations for best practices in the management of ASD. CONCLUSIONS: A patient registry for children and adolescents with ASD has had and will continue to have a significant impact on care for this population. Investigators are encouraged to query this database to further its impact by testing novel hypotheses and conducting preliminary proof-of-concept analyses.

Prenatal and perinatal risk factors in a twin study of autism spectrum disorders.

INTRODUCTION: Multiple studies associate prenatal and perinatal complications with increased risks for autism spectrum disorders (ASDs). The objectives of this study were to utilize a twin study design to 1) Investigate whether shared gestational and perinatal factors increase concordance for ASDs in twins, 2) Determine whether individual neonatal factors are associated with the presence of ASDs in twins, and 3) Explore whether associated factors may influence males and females differently. METHODS: Data from medical records and parent response questionnaires from 194 twin pairs, in which at least one twin had an ASD, were analyzed. RESULTS: Shared factors including parental age, prenatal use of medications, uterine bleeding, and prematurity did not increase concordance risks for ASDs in twins. Among the individual factors, respiratory distress demonstrated the strongest association with increased risk for ASDs in the group as a whole (OR 2.11, 95% CI 1.27-3.51). Furthermore, respiratory distress (OR 2.29, 95% CI 1.12-4.67) and other markers of hypoxia (OR 1.99, 95% CI 1.04-3.80) were associated with increased risks for ASDs in males, while jaundice was associated with an increased risk for ASDs in females (OR 2.94, 95% CI 1.28-6.74). CONCLUSIONS: Perinatal factors associated with respiratory distress and other markers of hypoxia appear to increase risk for autism in a subgroup of twins. Future studies examining potential gender differences and additional prenatal, perinatal and postnatal environmental factors are required for elucidating the etiology of ASDs and suggesting new methods for treatment and prevention.

Head circumferences in twins with and without Autism Spectrum Disorders.

To determine the genetic relationship between head circumference (HC) and Autism Spectrum Disorders (ASDs). Twin pairs with at least one twin with an ASD were assessed. HCs in affected and unaffected individuals were compared, as were HC correlations in monozygotic and dizygotic pairs. 404 subjects, ages 4-18, were included. 20 % of males and 27 % of females with an ASD had macrocephaly. Unaffected co-twins showed similar rates (16 % of males and 22 % of females). Statistical analysis revealed no significant difference in HCs between affected and unaffected twins. Twins with ASDs and unaffected co-twins have similar HCs and increased rates of macrocephaly. Correlations demonstrated partial inheritance of HCs. Thus, macrocephaly may represent an endophenotype in ASDs.

Genetic heritability and shared environmental factors among twin pairs with autism.

CONTEXT: Autism is considered the most heritable of neurodevelopmental disorders, mainly because of the large difference in concordance rates between monozygotic and dizygotic twins. OBJECTIVE: To provide rigorous quantitative estimates of genetic heritability of autism and the effects of shared environment. DESIGN, SETTING, AND PARTICIPANTS: Twin pairs with at least 1 twin with an autism spectrum disorder (ASD) born between 1987 and 2004 were identified through the California Department of Developmental Services. MAIN OUTCOME MEASURES: Structured diagnostic assessments (Autism Diagnostic Interview-Revised and Autism Diagnostic Observation Schedule) were completed on 192 twin pairs. Concordance rates were calculated and parametric models were fitted for 2 definitions, 1 narrow (strict autism) and 1 broad (ASD). RESULTS: For strict autism, probandwise concordance for male twins was 0.58 for 40 monozygotic pairs (95% confidence interval [CI], 0.42-0.74) and 0.21 for 31 dizygotic pairs (95% CI, 0.09-0.43); for female twins, the concordance was 0.60 for 7 monozygotic pairs (95% CI, 0.28-0.90) and 0.27 for 10 dizygotic pairs (95% CI, 0.09-0.69). For ASD, the probandwise concordance for male twins was 0.77 for 45 monozygotic pairs (95% CI, 0.65-0.86) and 0.31 for 45 dizygotic pairs (95% CI, 0.16-0.46); for female twins, the concordance was 0.50 for 9 monozygotic pairs (95% CI, 0.16-0.84) and 0.36 for 13 dizygotic pairs (95% CI, 0.11-0.60). A large proportion of the variance in liability can be explained by shared environmental factors (55%; 95% CI, 9%-81% for autism and 58%; 95% CI, 30%-80% for ASD) in addition to moderate genetic heritability (37%; 95% CI, 8%-84% for autism and 38%; 95% CI, 14%-67% for ASD). CONCLUSION: Susceptibility to ASD has moderate genetic heritability and a substantial shared twin environmental component.