Functional Outcomes of Children Identified Early in the Developmental Period as at Risk for ASD Utilizing the The Norwegian Mother, Father and Child Cohort Study (MoBa)

The Impact of Using Standardized Autism Screening on Referral to Specialist Evaluation for Young Children on the Autism Spectrum: A Cluster-Randomized Controlled Trial

OBJECTIVE

We tested whether the implementation of standardized, high-fidelity screening for autism during routine well-child check-ups results in the following: increasing the number of children with suspected autism referred to diagnostic evaluation; lowering the age at which they are referred; and facilitating autism diagnosis for children across a more diverse range of demographic backgrounds and clinical presentations, including those with subtle manifestations.

METHOD

As part of a multisite cluster randomized trial, pediatric practices were randomly assigned to an experimental condition involving training and supervision in the universal, standardized, high-fidelity implementation of the Modified Checklist for Autism in Toddlers, Revised with Follow-Up (M-CHAT-R/F), or a usual care condition. Children in both conditions identified as having a high likelihood of autism during well-child visits were referred to a diagnostic evaluation conducted by clinicians naive to referral source.

RESULTS

Children referred to the diagnostic evaluation from the practices in the experimental condition were more numerous (n = 186) and younger (mean age = 20.65 months) than those referred from the practices in the usual care condition (n = 39; mean age = 23.58 months). Children referred by experimental practices who received an autism diagnosis had milder clinical presentations across measures of cognitive, language, adaptive, and social-communication functioning, compared to those referred from usual care practices. Demographic characteristics were similar across groups.

CONCLUSION

Standardized, high-fidelity implementation of autism screening during pediatric well-child visits facilitates the identification of children with high autism likelihood at a younger age, including those presenting with more subtle clinical manifestations.

PLAIN LANGUAGE SUMMARY

This study evaluated whether screening all children for autism with a standardized tool during toddler well-child check-ups (a) increases the number of children referred for autism evaluation, (b) reduces the age at which children are referred, and (c) increases the diverse representation among children referred, including those with milder autism-related behaviors. Pediatric practices were randomly assigned to routine screening using the Modified Checklist for Autism in Toddlers, Revised, with Follow-Up (M-CHAT-R/F) during their 18-month well-child visit, or a usual care condition. Practices using routine screening referred many more children to receive a diagnostic evaluation (n=186) compared to those in the usual care condition (n=39), referred them when they were younger (mean age of 20.65 months, compared to 23.58 months) and increased the diverse representation of the children referred, including those with milder clinical presentations. Routine screening deployed the same way for all children attending pediatric well-child visits facilitates the identification of children with high autism likelihood at a younger age, including those presenting with more subtle clinical manifestations.

CLINICAL TRIAL REGISTRATION INFORMATION

Promoting Positive Outcomes for Individuals With ASD: Linking Early Detection, Treatment, and Long-term Outcomes; https://clinicaltrials.gov/study/NCT03333629.

Contributions of the ELENA Cohort to Study Autism Spectrum Disorder in Children and Adolescents from a Biopsychosocial Framework

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition influenced by a myriad of developmental, biological, psychological, and socio-demographic factors. The ELENA cohort seeks to delineate the intricate interplay of these factors, facilitating the identification of risk factors and the development of targeted interventions. This paper emphasizes the clinical profiles of children and outlines key findings from a biopsychosocial perspective. The ELENA cohort, a multicenter initiative across French regional centers, conducted a systematic prospective analysis on children newly diagnosed with DSM-5 ASD between 2012 and 2019. This encompassed direct assessments and parent-reported questionnaires covering a broad spectrum of developmental, biological, psychological and socio-demographic measures. Embedded case-control studies further examined risk and protective factors, alongside specific environmental and psychosocial influences during pregnancy and early childhood. A subset of participants also contributed biospecimens, with data enhancement via linkage to French National Administrative Healthcare Databases. The study unveils baseline clinical characteristics for 876 children, average age 6 (SD ± 3.3) previously unreported in protocol descriptions. It highlights the study's developmental biopsychosocial approach and its novel findings on children's socio-adaptive functioning, ASD severity, comorbidities, quality of life and interventions. Employing developmental biopsychosocial insights offers a promising pathway to integrating health, social care, and experiential insights, ultimately aiming to enhance the future well-being and outcomes for children with ASD. This approach underscores the need of a holistic, interdisciplinary strategy in encouraging and supporting the ASD community.

The role of women in the field of early intervention

This study examines the intersection of early intervention and the role of women as primary caregivers for children with disabilities. Studies for this analysis were collected through a meticulous search in the Web of Science (WoS) and Scopus databases. This process ensured the inclusion of a wide range of relevant literature from the field of study. A rigorous procedure of identification, selection, eligibility assessment, and inclusion of potentially relevant studies in this research area was conducted. We analyzed 130 articles, identifying 8 key research areas. Significant factors include the impact on parental interactions, communication skills, the role of women in developmental disabilities, mothers' understanding of their children's disabilities, emotional overload, parental stress, and psychological aspects. These factors significantly affect the well-being and development of mothers and children with disabilities. The study also considers the impact on women's careers. While research on psychological aspects and maternal overload is well-developed, establishing early intervention systems to optimize resources for proper child development is a challenge. The findings have high social value, paving the way for improving the quality of early childhood services.

Attainment and loss of early social-communication skills across neurodevelopmental conditions in the Norwegian Mother, Father and Child Cohort Study

BACKGROUND

Delays and loss of early-emerging social-communication skills are often discussed as unique to autism. However, most studies of regression have relied on retrospective recall and clinical samples. Here, we examine attainment and loss of social-communication skills in the population-based Norwegian Mother, Father and Child Cohort Study (MoBa).

METHODS

Mothers rated their child's attainment of 10 early-emerging social-communication skills at ages 18 and 36 months (N = 40,613, 50.9% male). Prospectively reported loss was defined as skill presence at 18 months but absence at 36 months. At 36 months, mothers also recalled whether the child had lost social-communication skills. The Norwegian Patient Registry was used to capture diagnoses of Autism Spectrum Disorder (autism) and other neurodevelopmental disabilities (NDDs).

RESULTS

Delay in at least one skill was observed in 14% of the sample and loss in 5.4%. Recalled loss of social-communication skills was rare (0.86%) and showed low convergence with prospectively reported loss. Delay and especially loss were associated with elevated odds of an autism diagnosis (n = 383) versus no autism diagnosis (n = 40,230; ≥3 skills delayed: OR = 7.09[4.15,12.11]; ≥3 skills lost: OR = 30.66[17.30,54.33]). They were also associated with an increased likelihood of autism compared to some other NDDs. Delay (relative risk [RR] = 4.16[2.08, 8.33]) and loss (RR = 10.00[3.70, 25.00]) associated with increased likelihood of autism versus ADHD, and loss (RR = 4.35[1.28,14.29]), but not delay (RR = 2.00[0.78,5.26]), associated with increased likelihood of autism compared to language disability. Conversely, delay conferred decreased likelihood of autism versus intellectual disability (RR = 0.11[0.06,0.21]), and loss was not reliably associated with likelihood of autism versus intellectual disability (RR = 1.89[0.44,8.33]).

CONCLUSIONS

This population-based study suggests that loss of early social communication skills is more common than studies using retrospective reports have indicated and is observed across several NDD diagnoses (not just autism). Nevertheless, most children with NDD diagnoses showed no reported delay or loss in these prospectively measured skills.

Systematic Review and Meta-analysis: Real-World Accuracy of Children's Developmental Screening Tests

OBJECTIVE

This review presents a list of developmental screening tests used in clinical settings worldwide and provides a broad estimate of their accuracy (PROSPERO: CRD42021236474).

METHOD

Following the PRISMA Diagnostic Test Accuracy (DTA) guidelines, this review involved searching PubMed, PsycINFO, Cochrane, EMBASE, CINAHL, and Google Scholar (for manual searching). Inclusion criteria included studies published in English through 2020 that compared the accuracy of developmental screening tests against developmental diagnostic tests among children under 13 years of age. Six researchers, in pairs, independently selected the studies and extracted the data. A hierarchical model was applied to meta-analyze the diagnostic accuracy of the tests, and meta-regression was used to identify the moderators using R 4.1.3 software.

RESULTS

The meta-analysis included 56 studies (17 screening tests and 61 outcomes). The most frequently used screening tests were the Ages and Stages Questionnaire (ASQ), Denver Developmental Screening Test (DDST), and Parent's Evaluation of Developmental Status (PEDS). The pooled sensitivity and specificity were 0.75 (95% CI = 0.69-0.80) and 0.76 (95% CI = 0.71-0.80), and the overall diagnostic accuracy of the total outcomes (area under the curve) was 0.80. High heterogeneity was observed between the included studies with various thresholds of the tests. Participants' developmental concerns at the baseline significantly moderated the accuracy of the screening tests, resulting in double the positive predictive value and prevalence compared to those without the concerns.

CONCLUSION

We recommend a standardized process of validation studies for diagnostic accuracy, to ensure the effectiveness of developmental screening tests in clinical settings.

STUDY PREREGISTRATION INFORMATION

Accuracy of Developmental Screening Tools among Children in Real World: a Systematic Review and Meta Analysis; https://www.crd.york.ac.uk/; CRD42021236474.

Risk factors for ASD : Risk Factors for Autism Spectrum Disorder in Shanghai, China: A Population-based Case-control Study

Autism spectrum disorder (ASD) is a pervasive neurodevelopmental disorder that brings heavy burdens to families and the society. This case-control study explored risk factors for ASD based on 74,252 children aged 3-12 years who were recruited from general education kindergartens, primary schools, and special education schools in Shanghai, China. One hundred ninety-two children were identified with ASD according to the Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition. Male sex, the presence of anoxia or asphyxia at birth, artificial feeding, adverse maternal psychological status, complications during pregnancy and higher paternal education were associated with ASD even after controlling for age, residential district, family history of mental disorders, parental personality, and amount of daily TV viewing.

What are we optimizing for in autism screening? Examination of algorithmic changes in the M-CHAT

The present study objectives were to examine the performance of the new M-CHAT-R algorithm to the original M-CHAT algorithm. The main purpose was to examine if the algorithmic changes increase identification of children later diagnosed with ASD, and to examine if there is a trade-off when changing algorithms. We included 54,463 screened cases from the Norwegian Mother and Child Cohort Study. Children were screened using the 23 items of the M-CHAT at 18 months. Further, the performance of the M-CHAT-R algorithm was compared to the M-CHAT algorithm on the 23-items. In total, 337 individuals were later diagnosed with ASD. Using M-CHAT-R algorithm decreased the number of correctly identified ASD children by 12 compared to M-CHAT, with no children with ASD screening negative on the M-CHAT criteria subsequently screening positive utilizing the M-CHAT-R algorithm. A nonparametric McNemar's test determined a statistically significant difference in identifying ASD utilizing the M-CHAT-R algorithm. The present study examined the application of 20-item MCHAT-R scoring criterion to the 23-item MCHAT. We found that this resulted in decreased sensitivity and increased specificity for identifying children with ASD, which is a trade-off that needs further investigation in terms of cost-effectiveness. However, further research is needed to optimize screening for ASD in the early developmental period to increase identification of false negatives.

The Early Screening for Autism and Communication Disorders: Field-testing an autism-specific screening tool for children 12 to 36 months of age

LAY ABSTRACT

There is a critical need for accurate screening tools for autism spectrum disorder in very young children so families can access tailored intervention services as early as possible. However, there are few screeners designed for children 18-24 months. Developing screeners that pick up on the signs of autism spectrum disorder in very young children has proved even more challenging. In this study, we examined a new autism-specific parent-report screening tool, the Early Screening for Autism and Communication Disorders for children between 12 and 36 months of age. Field-testing was done in five sites with 471 children screened for communication delays in primary care or referred for familial risk or concern for autism spectrum disorder. The Early Screening for Autism and Communication Disorders was tested in three age groups: 12-17, 18-23, and 24-36 months. A best-estimate diagnosis of autism spectrum disorder, developmental delay, or typical development was made. Analyses examined all 46 items and identified 30 items that best discriminated autism spectrum disorder from the non-spectrum groups. Cutoffs were established for each age group with good sensitivity and specificity. Results provide preliminary support for the accuracy of the Early Screening for Autism and Communication Disorders as an autism-specific screener in children 12-36 months with elevated risk of communication delay or autism spectrum disorder.

Primary Care Provider and Child Characteristics Associated with Age of Diagnosis of Autism Spectrum Disorder: A Population-Based Cohort Study

In a cohort of kindergarten children in Ontario, Canada with Autism Spectrum Disorder (ASD) (n = 1522), we tested the association of age at ASD diagnosis and characteristics of (1) the child's primary care provider and, (2) the child using health administrative databases. We tested the association of primary care practice model and time from developmental delay identification to age at ASD diagnosis. Older age of diagnosis was associated with provider foreign training (vs. domestic) (adjusted Hazard Ratio [aHR] 1.17, 95% CI 1.03, 1.33) but not sex, care model, and years of practice. After developmental delay identification, children with paediatricians had longer time to diagnosis than children with providers in care models (aHR 0.68, 95% CI 0.54, 0.86). Findings can be used to inform primary care provider ASD training.

Validation of the Modified Checklist for Autism in Toddlers, Revised with Follow-up in a Population Sample of 30-Month-Old Children in Iceland: A Prospective Approach

The Modified Checklist for Autism in Toddlers, Revised with Follow-up was validated on a population sample in Reykjavik, Iceland. The participants (N = 1585) were screened in well-child care at age 30 months and followed up for at least 2 years to identify autism cases. The sensitivity, specificity, positive and negative predictive values were 0.62, 0.99, 0.72, and 0.99, respectively. True-positive children were diagnosed 10 months earlier than false-negative children. Autism symptom severity and the proportions of children with verbal and performance IQs/DQs < 70 were similar between groups. Although the sensitivity was suboptimal, the screening contributed to lowering the age at diagnosis for many children. Adding autism-specific screening to the well-child care program should be considered.

Prenatal air pollution influences neurodevelopment and behavior in autism spectrum disorder by modulating mitochondrial physiology

We investigate the role of the mitochondrion, an organelle highly sensitive to environmental agents, in the influence of prenatal air pollution exposure on neurodevelopment and behavior in 96 children with autism spectrum disorder (ASD) [45 with neurodevelopmental regression (NDR); 76% Male; mean (SD) age 10 y 9 m (3 y 9 m)]. Mitochondrial function was assessed using the Seahorse XFe96 in fresh peripheral blood mononuclear cells. Second and third trimester average and maximal daily exposure to fine air particulate matter of diameter ≤2.5 µm (PM2.5) was obtained from the Environmental Protection Agency's Air Quality System. Neurodevelopment was measured using the Vineland Adaptive Behavior Scale 2nd edition and behavior was assessed using the Aberrant Behavior Checklist and Social Responsiveness Scale. Prenatal PM2.5 exposure influenced mitochondrial respiration during childhood, but this relationship was different for those with (r = 0.25-0.40) and without (r = -0.07 to -0.19) NDR. Mediation analysis found that mitochondrial respiration linked to energy production accounted for 25% (SD = 2%) and 10% (SD = 2%) of the effect of average prenatal PM2.5 exposure on neurodevelopment and behavioral symptoms, respectively. Structural equation models estimated that PM2.5 and mitochondrial respiration accounted for 34% (SD = 4%) and 36% (SD = 3%) of the effect on neurodevelopment, respectively, and that behavior was indirectly influenced by mitochondrial respiration through neurodevelopment but directly influenced by prenatal PM2.5. Our results suggest that prenatal exposure to PM2.5 disrupts neurodevelopment and behavior through complex mechanisms, including long-term changes in mitochondrial respiration and that patterns of early development need to be considered when studying the influence of environmental agents on neurodevelopmental outcomes.

Are Developmental Monitoring and Screening Better Together for Early Autism Identification Across Race and Ethnic Groups?

National Surveys of Children's Health (NSCH, 2016-2018) data were analyzed to determine if conjoint monitoring and screening showed stronger associations with children under 5 identified with ASD compared to monitoring alone, screening alone or no monitoring or screening; and investigate relationships between monitoring and screening across racial/ethnic subgroups. 86 of 332 children with ASD received their diagnosis in a timeframe suggesting potential monitoring and screening for identification purposes. Analyses showed that conjoint monitoring and screening and monitoring alone, but not screening alone, was associated with early identified ASD cases across race groups. Caution is warranted as interpreting NSCH monitoring and screening items solely for identification purposes is inaccurate in many cases. More research on monitoring with screening is needed.

Editorial S.I: Early Identification in Autism Spectrum Disorders: The Present and Future, and Advances in Early Identification

Early identification of autism spectrum disorder (ASD) is considered by most scholars and clinicians to be a feasible and useful step for improving the wellbeing of individuals on the autism spectrum and their families. Arguments supporting early detection efforts include the benefit of earlier access to services providing autism-specific evidence-based interventions (Vivanti et al., Journal of Autism and Developmental Disorders, 46(7), 2441-2449, 2016; Zwaigenbaum et al., Pediatrics, 136(Suppl), S10-S40, 2015), and its potential to mitigate or even prevent the challenges associated with ASD symptoms, reduce care costs, and improve the quality of life and productivity of individuals with ASD (Constantino et al., Pediatrics, 146(3), e20193629, 2020; Jacobson et al., Behavioral Interventions, 13(4), 201-226, 1998; Jacobson and Mulick, Journal of Autism and Developmental Disorders, 30(6), 585-593, 2000). Nevertheless, controversies and challenges in this field exist.

Screening Effects of the National Health Screening Program on Developmental Disorders

As the prevalence of developmental disorders (DDs) has increased, many OECD countries provide a national screening examination for early detection and intervention for DDs. This study examined effects of the National Health Screening Program in Korea. 65,334 children (39%) were DD-screened and 35,466 children (21%) received a false negative among the 167,050 study subjects. The DD-screened rate had increased from 3208 (27.2%) in 2008 to 8471 (47.3%) in 2012, then decreased to 5544 (29.8%) in 2017. Changes in the false negative rates increased from 2.7% in 2008 to 23.8% in 2017 were one of the most influential factors in these fluctuations. The DD-screened rate was influenced by demo-geographic and economic factors as well as by age-related characteristics of the subconditions.