Early detection for autism spectrum disorder in young children

Impact of Early-Life Microbiota on Immune System Development and Allergic Disorders

Introduction: The shaping of the human intestinal microbiota starts during the intrauterine period and continues through the subsequent stages of extrauterine life. The microbiota plays a significant role in the predisposition and development of immune diseases, as well as various inflammatory processes. Importantly, the proper colonization of the fetal digestive system is influenced by maternal microbiota, the method of pregnancy completion and the further formation of the microbiota. In the subsequent stages of a child's life, breastfeeding, diet and the use of antibiotics influence the state of eubiosis, which determines proper growth and development from the neonatal period to adulthood. The literature data suggest that there is evidence to confirm that the intestinal microbiota of the infant plays an important role in regulating the immune response associated with the development of allergic diseases. However, the identification of specific bacterial species in relation to specific types of reactions in allergic diseases is the basic problem. Background: The main aim of the review was to demonstrate the influence of the microbiota of the mother, fetus and newborn on the functioning of the immune system in the context of allergies and asthma. Methods: We reviewed and thoroughly analyzed the content of over 1000 articles and abstracts between the beginning of June and the end of August 2024. Over 150 articles were selected for the detailed study. Results: The selection was based on the PubMed National Library of Medicine search engine, using selected keywords: "the impact of intestinal microbiota on the development of immune diseases and asthma", "intestinal microbiota and allergic diseases", "the impact of intrauterine microbiota on the development of asthma", "intrauterine microbiota and immune diseases", "intrauterine microbiota and atopic dermatitis", "intrauterine microbiota and food allergies", "maternal microbiota", "fetal microbiota" and "neonatal microbiota". The above relationships constituted the main criteria for including articles in the analysis. Conclusions: In the present review, we showed a relationship between the proper maternal microbiota and the normal functioning of the fetal and neonatal immune system. The state of eubiosis with an adequate amount and diversity of microbiota is essential in preventing the development of immune and allergic diseases. The way the microbiota is shaped, resulting from the health-promoting behavior of pregnant women, the rational conduct of the medical staff and the proper performance of the diagnostic and therapeutic process, is necessary to maintain the health of the mother and the child. Therefore, an appropriate lifestyle, rational antibiotic therapy as well as the way of completing the pregnancy are indispensable in the prevention of the above conditions. At the same time, considering the intestinal microbiota of the newborn in relation to the genera and phyla of bacteria that have a potentially protective effect, it is worth noting that the use of suitable probiotics and prebiotics seems to contribute to the protective effect.

ECHO Autism Washington: Autism Diagnostic Evaluations in Primary Care

ECHO (Extensions for Community Healthcare Outcomes) Autism is a telementoring learning model to increase community capacity for autism-related health care. Seventy-seven pediatric providers (mostly primary care, seeing exclusively Medicaid patient populations) enrolled in 1 year of ECHO Autism Washington. Analysis of self-report surveys showed a significant increase in autism diagnoses made by ECHO providers after 1 year, F(1, 65) = 7.52, P = .008. Providers who attended more sessions reported making more diagnoses, F(2, 613.26), P = .045. Of note, autism diagnoses were not externally validated. The total number of reported barriers reduced, F(2, 61) = 13.5), P < .001, and confidence ratings increased F(2, 60) = 24.21, P < .001. The average number of diagnostic referrals from ECHO providers to the state's largest autism specialty clinic significantly reduced, t(43) = 4.23, P < .001, with significantly fewer diagnostic referrals made during and after ECHO training compared with a comparison group of 28 non-ECHO providers, t(58.77) = -3.36, P < .001. Overall, 1 year of ECHO Autism Washington participation led to significant changes in autism diagnostic practices.

Pre-autism: Advancing early identification and intervention in autism

Autism spectrum disorder (ASD) is often diagnosed long after symptoms have become noticeable. This delay can make it difficult to provide early intervention, which can impact long-term outcomes. The concept of "pre-autism" highlights the phase before a formal diagnosis of ASD, providing an opportunity for earlier identification and intervention, which could be a turning point in ASD management. In a previous article, we explored different ways of diagnosing pre-autism, including historical records, physical markers, laboratory tests, and radiological evidence. This manuscript builds on that foundation by emphasizing the importance of early diagnosis and intervention in ASD. Recent research advancements have clarified that ASD presentations can be complex, and individualized support strategies are necessary. The significance of pre-autism lies in its potential to alter the trajectory of ASD through early detection and intervention despite challenges such as limited awareness and variability in symptom presentation. Biomarkers and diagnostic tools have shown promise as avenues for early detection, but it is essential to exercise caution and not rely too heavily on yet-to-be-established markers. Addressing these challenges requires a collaborative effort to increase awareness, improve access to diagnostic tools, and foster inclusive environments. Ultimately, this manuscript calls for ongoing research, advocacy, and resource allocation to enhance early detection and intervention efforts, ensuring optimal outcomes for individuals on the autism spectrum.

Parent-led Communication Therapy for Young Bilingual Autistic Children: A Scoping Review

A scoping review of the literature was undertaken using JBI guidelines to map the evidence of parent-led therapy (PLT) for young autistic children (≤ 6 years) raised in bilingual environments. Reviewers used Covidence to screen located sources. Sixteen papers met inclusion criteria. A strong acceleration of reports of PLT for young autistic children measured in bilingual environments was observed, with 93.8% of papers (n = 15) published since 2015. Reporting of participants' language environments (home language(s)/L1s and societal language(s)/L2s) was inconsistent. A large majority of these studies, 87.5% (n = 14) were conducted in North America or in collaboration with a North American institution. Diverse PLT programs and methodologies were identified. There is variation in demographic information collected and outcomes reported. Evidence gaps in the literature are identified and the value of undertaking systematic review on this topic is considered. This scoping review points to the necessity of further empirical research and practice that centres parents in early and specific support for autistic children raised in bilingual environments. Suggestions for improving reporting standards of language profiles are provided.

Familial Recurrence of Autism: Updates From the Baby Siblings Research Consortium

OBJECTIVES

Autism spectrum disorder (ASD) is estimated to be ∼10 times higher in children with versus without an autistic sibling in population-based studies. Prospective studies of infant siblings have revealed even higher familial recurrence rates. In the current prospective longitudinal study, we provide updated estimates of familial ASD recurrence using a multinational database of infants with older autistic siblings.

METHODS

Data were collated across 18 sites of the Baby Siblings Research Consortium, an international network studying the earliest manifestations of ASD. A total of 1605 infants with an older autistic sibling were followed from early in life to 3 years, when they were classified as ASD or non-ASD. Hierarchical generalized linear modeling, with site as a random effect, was used to examine predictors of recurrence in families and calculate likelihood ratios.

RESULTS

A total of 20.2% of siblings developed ASD, which is not significantly higher than the previously reported rate of 18.7%. Male infant sex and >1 older affected sibling were significant predictors of familial recurrence. Proband sex also influenced recurrence rates, with siblings of female probands significantly more likely to develop ASD than siblings of male probands. Race and maternal education were also associated with recurrence in families.

CONCLUSIONS

The familial recurrence rate of ASD, as measured in infant sibling studies, has not changed appreciably since previous estimates were made in 2011. Younger siblings of autistic children, particularly those who are male, have an affected female sibling, multiple affected siblings, or are impacted by social inequities, should be closely monitored and promptly referred for diagnostic evaluation.

Cognitive, behavioral and socio-communication skills as predictors of response to Early Start Denver Model: a prospective study in 32 young children with Autism Spectrum Disorder

Introduction

The effectiveness of early interventions in young autistic children is well established, but there is great interindividual variability in treatment response. Predictors of response to naturalistic developmental behavioral interventions (NDBI), like the Early Start Denver Model (ESDM), are needed.

Methods

We conducted an exploratory study to prospectively seek predictors of response in 32 young children treated with ESDM after receiving an ASD diagnosis. All children were less than 39 months old (mean age: 29.7 mo), and received individualized ESDM for nine months. Tests were administered at the beginning, after 4 months, and at the end of treatment.

Results

Four children (12.5%) were "strong responders", 8 children (25.0%) were "moderate responders", and 20 children (62.5%) were "poor responders". A more favorable response to ESDM was significantly predicted by higher PEP-3 Expressive Language, Receptive Language, Cognitive Verbal/Preverbal, Visuo-Motor Imitation scores, higher GMDS-ER Personal/Social, and VABS-II Communication scores, by lower ADI-R C restricted/stereotypic behaviors, and by joint attention level.

Discussion

Most predictors showed a linear association with increasing response to ESDM, but GMDS-ER Personal-Social and joint attention level predicted strong response, while PEP-3 receptive language equally predicted moderate or strong response. Although larger samples will be necessary to reach definitive conclusions, in conjunction with prior reports our findings begin providing information able to assist clinicians in choosing the most appropriate treatment program for young autistic children.

Digital citizenship of children and youth with autism: Developing guidelines and strategies for caregivers and clinicians to support healthy use of screens

LAY ABSTRACT

Children and youth with autism use screens in their daily lives and in their rehabilitation programs. Although parents and clinicians experience specific challenges when supporting positive screen time use of children and youth with autism, no detailed information for this group exists. Therefore, this study aimed to develop clear guidelines that are agreed by expert clinicians and parents of children and youth with autism. Using a method called Delphi, 30 experts-20 clinicians and 10 caregivers, who have experience working with or caring for children and youth with autism were invited to complete a series of three surveys. In each round, the experts had to rate their agreement with statements regarding screen time management. The agreement level was set to 75%. The final themes to be included in the guidelines were accepted by more than 75% of the panel. The final guidelines included six main sections: (1) general principles, (2) considerations for timing and content of leisure screen time use, (3) strategies for caregivers and clinicians to monitor and regulate screen time use, (4) behaviors to monitor for screen time overuse, (5) additional guidelines for clinicians, and (6) resources. The new guidelines developed in this study can provide potential guidance on how to further the development of digital citizenship for children and youth with autism and provide strategies to families to help manage screen time use.

Validity of the Toddler Autism Symptom Inventory in Non-Hispanic White and Black Toddlers

Racial disparities exist in autism diagnosis, and yet, the development of most diagnostic tools has not explicitly examined measurement equity between racial and ethnic groups. We examined the validity of the Toddler Autism Symptom Inventory (TASI), a semi-structured interview developed for diagnosis of toddlers, in non-Hispanic Black/African American and non-Hispanic White children. After controlling for group differences in socio-economic status, no differences in diagnosis, age at diagnosis, mean developmental level, or autism severity were found. TASI ROC curves for both groups, in the overall sample, and in samples stratified by SES, showed high AUC values. Validity of two cutoff scores was acceptable. Lack of significant differences in TASI score or responses to individual items suggests similar symptomatology. These results provide early support for the use of the TASI in diagnostic evaluations of Black and White children.

Feasibility of an observational procedure to enhance early identification of autism spectrum disorder in paediatric settings: A mixed-methods study on an Ecuadorian sample

LAY ABSTRACT

In Ecuador, the low official estimate of the number of persons with autism spectrum disorder suggest that many children are not identified and are not receiving support. Screening tools are short parent-addressed questionnaires used to identify children that may be developing with autism. Their use is recommended, but their application can be perceived as challenging in paediatric routines. Some professionals prefer looking for autism-related behaviours in a child rather than using screening questionnaires. Although a short observation does not replace the use of validated screening questionnaires, tasks to guide the observation of autistic early signs can help professionals decide to screen or refer the family for assessment and early intervention. In this study, we tested observational tasks that could be adapted to the Ecuadorian paediatric contexts.

Factors in Infancy That May Predict Autism Spectrum Disorder

The global increase in the prevalence of ASD (Autism Spectrum Disorder) is of great medical importance, but the reasons for this increase are still unknown. This study sought to identify possible early contributing factors in children who were later diagnosed with ASD. In this retrospective cohort study, postnatal records of 1105 children diagnosed with ASD were analyzed to determine if any signs of ASD could be found in a large database of births and well-baby care programs. We compared the recordings of typically developing children and analyzed the differences statistically. Rapid increases in weight, height, and head circumference during early infancy predict the development of ASD. In addition, low birth weight, older maternal age, and increased weight and height percentiles at six months of age together predict the development of ASD. At two years of age, these four parameters, in addition to impaired motor development, can also predict the development of ASD. These results suggest that the recent increase in ASD prevalence is associated with the "obesity epidemic" and with recommendations of supine sleeping to prevent Sudden Infant Death Syndrome, associated with atypical neural network development in the brain.

Early postnatal development of the MDGA2+/- mouse model of synaptic dysfunction

Synaptic dysfunction underlies many neurodevelopmental disorders (NDDs). The membrane-associated mucin domain-containing glycosylphosphatidylinositol anchor proteins (MDGAs) regulate synaptic development by modulating neurexin-neuroligin complex formation. Since understanding the neurodevelopmental profile and the sex-based differences in the manifestation of the symptoms of NDDs is important for their early diagnosis, we tested a mouse model haploinsufficient for MDGA2 (MDGA2+/-) on a neurodevelopmental test battery, containing sensory, motor, and cognitive measures, as well as ultrasonic vocalizations. When male and female MDGA2+/- and wildtype (WT) C57BL/6 J mice were examined from 2 to 23 days of age using this test battery, genotype and sex differences in body weight, sensory-motor processes, and ultrasonic vocalizations were observed. The auditory startle reflex appeared earlier in the MDGA2+/- than in WT mice and the MDGA2+/- mice produced fewer ultrasonic vocalizations. The MDGA2+/- mice showed reduced locomotion and rearing than WT mice in the open field after 17 days of age and spent less time investigating a novel object than WT mice at 21 days of age. Female MDGA2+/- mice weighed less than WT females and showed lower grip strength, indicating a delay in sensory-motor development in MDGA2+/- mice, which appears to be more pronounced in females than males. The behavioural phenotypes resulting from MDGA2 haploinsufficiency suggests that it shows delayed development of motor behaviour, grip strength and exploratory behaviour, non-social phenotypes of NDDs.

Meta-analysis of the Modified Checklist for Autism in Toddlers, Revised/Follow-up for Screening

CONTEXT

The Modified Checklist for Autism in Toddlers, Revised with Follow-up (M-CHAT-R/F) is used worldwide to screen for autism spectrum disorder (ASD).

OBJECTIVE

To calculate psychometric properties of the M-CHAT-R/F for subsequent diagnosis of ASD.

DATA SOURCES

Systematic searches of Medline, Embase, SCOPUS, and Trip Pro databases from January 2014 to November 2021.

STUDY SELECTION

Studies were included if they (1) used the M-CHAT-R/F (2) applied standard scoring protocol, (3) used a diagnostic assessment for ASD, and (4) reported at least 1 psychometric property of the M-CHAT-R/F.

DATA EXTRACTION

Two independent reviewers completed screening, full-text review, data extraction, and quality assessment, following Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. A random-effects model was used to derive pooled estimates and assess for between-study heterogeneity.

RESULTS

Of 667 studies identified, 15 with 18 distinct samples from 10 countries (49 841 children) were used in the meta-analysis. Pooled positive predictive value (PPV), was 57.7% (95% confidence interval [CI] 48.6-66.8, τ2 = 0.031). PPV was higher among high-risk (75.6% [95% CI 66.0-85.2]) than low-risk samples (51.2% [95% CI 43.0-59.5]). Pooled negative predictive value was 72.5% (95% CI 62.5-82.4 τ2 = 0.031), sensitivity was 82.6% (95% CI 76.2-88.9) and specificity 45.7% (95% CI 25.0-66.4).

LIMITATIONS

Negative predictive value, sensitivity, and specificity were calculated based on small sample sizes because of limited or no evaluation of screen-negative children.

CONCLUSIONS

These results support use of the M-CHAT-R/F as a screening tool for ASD. Caregiver counseling regarding likelihood of an ASD diagnosis after positive screen should acknowledge the moderate PPV.

The RITA-T (Rapid Interactive Screening Test for Autism in Toddlers) Community Model to Improve Access and Early Identification of Autism in Young Children

Objective: To evaluate improved identification and the generalization of the RITA-T (Rapid interactive Screening Test for Autism in Toddlers) model through partnerships with Primary Care (PC), Early Intervention (EI), and Autism Diagnosticians. Methods: Over 3 years (2018-2021), 15 EI and 9 PC (MD and NP) centers participated in this project. We trained providers on the RITA-T and established screening models. We reviewed charts of all toddlers referred through this model and compared wait times, and diagnoses, to those evaluated through regular referral in a tertiary-based autism clinic. We also examined the RITA-T psychometrics. Results: 377 toddlers met our inclusion criteria. Wait time for diagnosis was an average of 2.8 months and led to further collaboration between community providers. RITA-T cut-off scores stayed consistent. Providers reported improved confidence and easy integration of this model. Conclusions: This model is generalizable and improves the Early Identification of ASD.

A cohort of Ontario physicians' knowledge regarding autism spectrum disorder: a mixed methods study

Employing a mixed methods approach, this study examined the knowledge and information Ontario physicians have concerning Autism Spectrum Disorder (ASD). Physicians are at the front line when it comes to identifying ASD. The Healthcare Professional Questionnaire was filled out by 46 physicians and 16 filled out the Knowledge about Childhood Autism among Health Workers Questionnaire (KCAHW) before being asked to participate in a semi-structured interview in which 7 participated. Paediatricians and psychiatrist reported having the highest levels of knowledge. Findings revealed that physicians are lacking in information regarding some early signs (i.e. social smiling = 50%), added diagnostic criteria (i.e. hypo-reactivity to sensory information = 56%), and the prevalence rate of ASD (average estimate of 1 in 1109). Additionally, exposure to individuals with ASD was found to be a facilitator to knowledge acquisition regarding ASD. The physicians recommended a road map method to disseminate information and increase knowledge and awareness. Implications of the findings include what areas of knowledge and information need to be increased, and how knowledge and competency can be increased, to better care for this population.

Detection of Electroencephalographic Abnormalities and Its Associated Factors among Children with Autism Spectrum Disorder in Thailand

Epilepsy often causes more severe behavioral problems in children with autism spectrum disorder (ASD) and is strongly associated with poor cognitive functioning. Interestingly, individuals with ASD without a history of epilepsy can have abnormal electroencephalographic (EEG) activity. The aim of this study was to examine associations between EEG abnormalities and the ASD severity in children. The children with ASD who enrolled at the Rajanagarindra Institute of Child Development, Thailand were included in this study. The severity of ASD was measured by interviewing their parents with the Thai autism treatment evaluation checklist. The short sensory profile checklist was used for screening the abnormality of children in each domain. Ordinal logistic regression analysis was used to examine associations between factors potentially linked to EEG abnormalities. Most of the study participants were boys (87.5%) and the median age was 5 years. Among the 128 children, 69.5% showed EEG abnormalities (41.4% slow-wave and 28.1% epileptiform-discharge). The results show that a larger number of symptoms and increased severity of ASD were independently associated with a higher risk of EEG abnormalities. Our results emphasize the need for guidelines on the presence of EEG abnormalities in children with ASD for the early detection of epilepsy and improving treatment outcomes.

Follow-up care of the extremely preterm infant after discharge from the neonatal intensive care unit

The survival of babies born extremely preterm (EP, <28 weeks gestation) has improved over time, and many have good outcomes and quality of life. They remain at risk for health issues, including neurosensory and neurodevelopmental difficulties requiring monitoring by primary physicians, paediatricians, and specialty clinics. This statement reviews potential medical and neurodevelopmental consequences for EP infants in the first 2 years after discharge and provides strategies for counselling, early detection, and intervention. EP-related conditions to assess for early include bronchopulmonary dysplasia or respiratory morbidity, feeding and growth concerns, neurosensory development (vision and hearing), cerebral palsy, and autism spectrum disorder. Correction for gestational age should be used for growth and development until 36 months of age. Integral to quality care of the child born EP is attention to the emotional well-being of parents and caregivers.

Comparing the Indian Autism Screening Questionnaire (IASQ) and the Indian Scale for Assessment of Autism (ISAA) with the Childhood Autism Rating Scale–Second Edition (CARS2) in Indian settings

The Indian Autism Screening Questionnaire (IASQ), derived from the Indian Scale for Assessment of Autism ISAA (the mandated tool for autism in India), is an autism screening instrument for use in the general population by minimally trained workers. While ISAA has 40 items with four anchor points, the IASQ is a 10-item questionnaire with yes/no answers. It was initially validated using the ISAA. During its development the ISAA was itself compared to the Childhood Autism Rating Scale version 1 (ISAA Manual). In the present study, we evaluated both the ISAA and the IASQ in relation to the Childhood Autism Rating Scale version 2 (CARS-2). Methods: Participants were recruited from three settings: a referral clinic for neurodevelopmental conditions run by the Department of Paediatrics of a tertiary care teaching hospital (NDC OPD), the outpatient department of an institute for disability and rehabilitation (NIEPID), and from the community (CGOC). Persons between ages 3–18 were recruited following consent or assent (parent and child/adolescent). The IASQ was administered by a minimally trained administrator. It was followed by ISAA and the CARS-2 (in alternating order, by different evaluators blind to each other) (CARS2 SV (Standard Version) and CARS2 HF (High Functioning) as applicable). Sensitivity, specificity and area under the Receiver Operator Characteristics (ROC) curve were calculated for IASQ and CARS2, as well as for ISAA and CARS2. Concordance between CARS2 and ISAA was calculated using kappa coefficient. Results: A total of 285 participants (NIEPD n = 124; NDC OPD, n = 4; CGOC n = 157) (a total of 70 with autism and 215 controls) participated. IASQ and CARS2 were administered on 285 participants, while IASQ and ISAA were administered on 264 participants. When IASQ was compared to CARS2, sensitivity was 97%, specificity 81%, PPV 63%, NPV 99% at cut off 1 while these values were 97%, 92%, 79% and 99% respectively at cut off 2. There was high concordance between CARS2 and ISAA (Kappa 0.907, p<0.0001). Conclusions: IASQ has satisfactory sensitivity, specificity and concordance when compared with CARS2; it can be used for screening children with autism in community. The ISAA also showed a high concordance with CARS2, as it had with the older version of CARS.

Predictive validity of the Infant Toddler Checklist in primary care at the 18-month visit and developmental diagnosis at 3-5 years: a prospective cohort study

OBJECTIVE

There is international variation in recommendations regarding developmental screening and growing recognition of the low sensitivity of commonly used developmental screening tools. Our objective was to examine the predictive validity of the Infant Toddler Checklist (ITC) at 18 months to predict a developmental diagnosis at 3-5 years, in a primary care setting.

METHODS

We designed a prospective cohort study, recruiting in primary care in Toronto, Canada. Parents completed the ITC at the 18-month visit and reported developmental diagnosis at 3-5 years (developmental delay, autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), learning problem). We calculated screening test properties with 95% CIs. We used multivariable logistic regression analyses adjusted for important covariates.

RESULTS

In the final sample (n=488), mean age at screening was 18.5 (SD 1.1) months, and at follow-up was 46.6 (SD 10.0) months. At screening, 46 (9.4%) had a positive ITC. At follow-up, 26 (5.3%) had a developmental diagnosis, including: developmental delay (n=22), ASD (n=4), ADHD (n=1), learning problem (n=1); parents of two children each reported two diagnoses (total of 28 diagnoses). Of four children with a diagnosis of ASD at follow-up, three had a positive ITC at 18 months. The ITC specificity (92%, 95% CI: 89% to 94%) and negative predictive value (96%, 95% CI: 95% to 97%) were high; false positive rate was low (8%, 95% CI: 6% to 11%); sensitivity was low (31%, 95% CI: 14% to 52%). There was a strong association between a positive ITC at 18 months and later developmental diagnosis (adjusted OR 4.48, 95% CI: 1.72 to 11.64; p=0.002).

CONCLUSION

The ITC had high specificity, high negative predictive value, low false positive rate, and identified children with later developmental delay and ASD. The ITC had low sensitivity, similar to other screening tools underscoring the importance of continuous developmental surveillance at all health supervision visits.

Sex Differences in Autism Spectrum Disorder: Diagnostic, Neurobiological, and Behavioral Features

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder with a worldwide prevalence of about 1%, characterized by impairments in social interaction, communication, repetitive patterns of behaviors, and can be associated with hyper- or hypo-reactivity of sensory stimulation and cognitive disability. ASD comorbid features include internalizing and externalizing symptoms such as anxiety, depression, hyperactivity, and attention problems. The precise etiology of ASD is still unknown and it is undoubted that the disorder is linked to some extent to both genetic and environmental factors. It is also well-documented and known that one of the most striking and consistent finding in ASD is the higher prevalence in males compared to females, with around 70% of ASD cases described being males. The present review looked into the most significant studies that attempted to investigate differences in ASD males and females thus trying to shade some light on the peculiar characteristics of this prevalence in terms of diagnosis, imaging, major autistic-like behavior and sex-dependent uniqueness. The study also discussed sex differences found in animal models of ASD, to provide a possible explanation of the neurological mechanisms underpinning the different presentation of autistic symptoms in males and females.

Exposure to Intrapartum Epidural Analgesia and Risk of Autism Spectrum Disorder in Offspring

IMPORTANCE

There is conflicting evidence on the association between intrapartum epidural analgesia and risk of autism spectrum disorder (ASD) in offspring.

OBJECTIVE

To evaluate the association between intrapartum epidural analgesia and the risk of ASD in offspring.

DESIGN, SETTING, AND PARTICIPANTS

This population-based cohort study was conducted in Ontario, Canada, using the health and administrative records of singleton live births by vaginal delivery between April 1, 2006, and March 31, 2014. Neonates with less than 24 weeks' gestation or weighing less than 500 g were excluded. Offspring were followed up from 18 months of age until ASD diagnosis, loss to follow-up, or the end of the study (December 31, 2020), whichever occurred first. Exposure, covariate, and outcome data were obtained using provincial health administrative databases.

EXPOSURES

Any intrapartum exposure to epidural or combined spinal-epidural analgesia.

MAIN OUTCOMES AND MEASURES

The primary outcome was ASD diagnosis after 18 months of age. Inverse probability of treatment weighting (IPTW) of Cox proportional hazards regression models was used to estimate the hazard ratio (HR) of intrapartum epidural analgesia and ASD in offspring. Offspring head injury was used as a control outcome. Models were adjusted for maternal sociodemographic factors, health behaviors, and medical and obstetrical history as well as labor, delivery, and offspring characteristics. Post hoc analyses included restriction to term neonates, a conditional within-mother analysis, exclusion of records with concomitant intrapartum pain management exposures, a complete case analysis, use of an alternative ASD definition, and estimation of the average treatment effect in the treated group.

RESULTS

Among the 650 373 mother-offspring pairs included in the study, 418 761 (64.4%) were exposed to intrapartum epidural analgesia. The mean (SD) maternal age at delivery was 29.7 (5.5) years; the offspring had a mean (SD) gestational age at delivery of 39.1 (1.6) weeks and included 329 808 male newborns (50.7%). The exposed and unexposed groups were similar in all maternal and newborn characteristics after IPTW (standardized difference <0.10). Autism spectrum disorder was diagnosed in 7546 offspring (1.8%) of mothers who received intrapartum epidural analgesia (incidence rate, 18.8 [95% CI, 18.4-19.3] per 10 000 person-years) compared with 3234 offspring (1.4%) who were unexposed (incidence rate, 14.4 [95% CI, 13.9-14.9] per 10 000 person-years). The crude HR for ASD associated with intrapartum epidural analgesia was 1.30 (95% CI, 1.25-1.36), and the IPTW-adjusted HR was 1.14 (95% CI, 1.08-1.21). Results did not qualitatively differ in post hoc analyses.

CONCLUSIONS AND RELEVANCE

Results of this study showed that intrapartum epidural analgesia was associated with a small increase in risk for ASD in offspring. The biological plausibility of this association, however, remains unclear, and the finding must be interpreted with caution.

Prenatal exposure to pesticide residues in the diet in association with child autism-related traits: Results from the EARLI study

Prior work has suggested associations between prenatal exposure to several classes of pesticides and child autism spectrum disorder (ASD). We examined a previously developed pesticide residue burden score (PRBS) and intake of high pesticide residue foods in association with ASD-related traits. Participants were drawn from the Early Autism Risk Longitudinal Investigation (EARLI) (n = 256), a cohort following mothers who previously had a child with ASD through a subsequent pregnancy and that child's development. ASD-related traits were captured according to total Social Responsiveness Scale (SRS) scores at age 3 (mean raw total SRS score = 35.8). Dietary intake was assessed through a food frequency questionnaire collected during pregnancy. We also incorporated organic intake and fatty foods in modified versions of the PRBS. Associations between high-residue fruit and vegetable intake, the overall PRBS and modified versions of it, and SRS scores were assessed using multivariable linear regression. Overall, we did not observe associations between pesticide residues in foods and ASD-related outcomes, and modified versions of the PRBS yielded similar findings. However, reductions in ASD-related traits were observed with higher overall fruit and vegetable intake (adjusted estimates for Q4 vs. Q1: β -12.76, 95%CI -27.8, 2.3). Thus, findings from this high familial probability cohort did not suggest relationships between pesticide residues in the diet according to the PRBS and ASD-related traits. Beneficial effects of fruit and vegetable intake may influence these relationships. Future work should consider fruit and vegetable intake in association with ASD-related outcomes. LAY SUMMARY: Diet is the main source of exposure to most pesticides in use today. In this study, we examined the relationship between pesticide exposure from residues in the diet during pregnancy and child autism-related traits. We found that these pesticide residues from the diet were not related to child autism-related outcomes at age three. However, higher prenatal fruit and vegetable intake was associated with reductions in child autism-related traits.

Program evaluation of a pilot mobile developmental outreach clinic for autism spectrum disorder in Ontario

Background

Autism spectrum disorder (ASD) is a neurodevelopmental disorder with increasing prevalence worldwide. Early identification of ASD through developmental screening is critical for early intervention and improved behavioural outcomes in children. However due to long wait times, delays in diagnosis continue to occur, particularly among minority populations who are faced with existing barriers in access to care. A novel Mobile Developmental Outreach Clinic (M-DOC) was implemented to deliver culturally sensitive screening and assessment practices to increase access to developmental health services, reduce wait times in diagnoses, and aid in equitable access to intervention programs among vulnerable populations in Ontario.

Methods

This study applied two evaluation frameworks (process and outcome evaluation) to determine whether the delivery model was implemented as intended, and if the program achieved its targeted goals. A mixed-methods design was undertaken to address the study objectives.

Results

Between September 2018–February 2020, M-DOC reached 227 families with developmental health concerns for their child, while successfully targeting the intended population and achieving its goals. The mean age of the child-in-need at intake was 31.6 months (SD 9.9), and 70% of the sample were male. The program’s success was attributed to the use of cultural liaisons to break cultural and linguistic barriers, the creation of multiple points of access into the diagnosis pathway, and delivery of educational workshops in local communities to raise awareness and knowledge of autism spectrum disorder.

Conclusions

The findings underscore the need for community-based intervention programs that focus on cultural barriers to accessing health services. The model of delivery of the M-DOC programs highlights the opportunity for other programs to adopt a similar mobile outreach clinic approach as a means to increase access to services, particularly in targeting hard-to-reach and vulnerable populations.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-07789-7.

Factors associated with age of diagnosis in children with autism spectrum disorders: Report from a French cohort

LAY ABSTRACT

Autism spectrum disorder is an early onset neurodevelopmental disorder and diagnosis can be made as early as 18 months of age. Early diagnosis of autism spectrum disorder is critical as it leads to early intervention. Age of autism spectrum disorder diagnosis has been linked to the child profile as autism spectrum disorder is characterized by strong heterogeneity, but is also influenced by socio-economic factors. There is paucity of data on age of diagnosis of autism spectrum disorder in France. We therefore examined the age of autism spectrum disorder diagnosis in 554 children and adolescents enrolled in the ELENA cohort study with respect to the influences of child profile, family antecedents, and socio-economic factors. The mean age of diagnosis was 4.9 years (±2.8 years). Early diagnosis, before 3 years of age, was related to the co-occurrence of intellectual disability, higher autism spectrum disorder symptom severity, and lower communicative abilities. Children in low socio-economic status families tended to have an earlier diagnosis, but these children also had greater degree of intellectual impairment compared to children in high socio-economic status families. The age of autism spectrum disorder diagnosis was not associated with the presence of an older sibling with autism spectrum disorder. The observed current trend of an inverse relationship between socio-economic status and age of diagnosis of autism spectrum disorder suggests equitable access to autism spectrum disorder services in France where health coverage is universal and free. Better screening of more subtle/less severe forms of autism spectrum disorder is needed, as well as further assessment of the link between the co-occurrence of autism spectrum disorder and intellectual impairment in children in lower socio-economic status families.

Experiences and Attitudes on Early Identification Practices of Autism: A Preliminary Survey of Pediatric Professionals in Ecuador

Early identification of children with autism is necessary to support their social and communicative skills and cognitive, verbal, and adaptive development. Researchers have identified several barriers to early diagnosis. Data collected in low- and middle-income contexts—where the vast majority of children in the world live—is scarce. In Ecuador, as in many other countries, estimates are lower compared to the global prevalence. Health authorities estimate a prevalence of 0.28% (0.18%–0.41%) in children aged five years old or less. Based on the hypothesis that, as in many parts of the world, children in Ecuador are not routinely screened and that this situation may result from poor recognition of this condition, our objective was to identify potential obstacles to case identification in pediatric settings. Several barriers, consistent with those identified in other countries, were reported by 153 participants on a survey, including lack of time, lack of resources to refer, fear of unnecessarily alarming families, and lack of information to guide families with concerns. The vast majority of participants are aware of the need for a screening tool for autism detection but report a lack of knowledge of its formal application. Most of the barriers reported in this study could be overcome by educational programs tailored to professional needs in order to support the well-being of children with autism and their families.

Identification of Autism in Children Using Static Facial Features and Deep Neural Networks

Autism spectrum disorder (ASD) is a complicated neurological developmental disorder that manifests itself in a variety of ways. The child diagnosed with ASD and their parents’ daily lives can be dramatically improved with early diagnosis and appropriate medical intervention. The applicability of static features extracted from autistic children’s face photographs as a biomarker to distinguish them from typically developing children is investigated in this study paper. We used five pre-trained CNN models: MobileNet, Xception, EfficientNetB0, EfficientNetB1, and EfficientNetB2 as feature extractors and a DNN model as a binary classifier to identify autism in children accurately. We used a publicly available dataset to train the suggested models, which consisted of face pictures of children diagnosed with autism and controls classed as autistic and non-autistic. The Xception model outperformed the others, with an AUC of 96.63%, a sensitivity of 88.46%, and an NPV of 88%. EfficientNetB0 produced a consistent prediction score of 59% for autistic and non-autistic groups with a 95% confidence level.

Children neuropsychological and behavioral scale-revision 2016 in the early detection of autism spectrum disorder

BACKGROUND

The Children Neuropsychological and Behavioral Scale-Revision 2016 (CNBS-R2016) is a widely used developmental assessment tool for children aged 0-6 years in China. The communication warning behavior subscale of CNBS-R2016 is used to assess the symptoms of autism spectrum disorder (ASD), and its value of >30 points indicates ASD based on CNBS-R2016. However, we observed that children with relatively lower values were also diagnosed with ASD later on in clinical practice. Thus, this study aimed to identify the suitable cutoff value for ASD screening recommended by the communication warning behavior of CNBS-R2016.

MATERIALS AND METHODS

A total of 90 typically developing (TD) children and 316 children with developmental disorders such as ASD, developmental language disorder (DLD), and global developmental delay (GDD; 130 in the ASD group, 100 in the DLD group, and 86 in the GDD group) were enrolled in this study. All subjects were evaluated based on the CNBS-R2016. The newly recommended cutoff value of communication warning behavior for screening ASD was analyzed with receiver operating curves.

RESULTS

Children in the ASD group presented with lower developmental levels than TD, DLD, and GDD groups in overall developmental quotient assessed by CNBS-R2016. We compared the consistency between the scores of communication warning behavior subscale and Autism Behavior Checklist (ABC), Childhood Autism Rating Scale (CARS), Autism Diagnostic Observation Schedule, second edition (ADOS-2), and clinical diagnosis for the classification of ASD at a value of 30 based on the previously and newly recommended cutoff value of 12 by the CNBS-R2016. The Kappa values between the communication warning behavior and ABC, CARS, ADOS-2, and clinical diagnosis were 0.494, 0.476, 0.137, and 0.529, respectively, with an agreement rate of 76.90%, 76.26%, 52.03%, and 82.27%, respectively, when the cutoff point was 30. The corresponding Kappa values were 0.891, 0.816, 0.613, and 0.844, respectively, and the corresponding agreement rate was 94.62%, 90.82%, 90.54%, and 93.10%, respectively, when the cutoff point was 12.

CONCLUSION

The communication warning behavior subscale of CNBS-R2016 is important for screening ASD. When the communication warning behavior score is 12 points or greater, considerable attention and further comprehensive diagnostic evaluation for ASD are required to achieve the early detection and diagnosis of ASD in children.

Screening for autistic spectrum disorder in early childhood

We looked at existing recommendations and supporting evidence on the effectiveness of screening young children for autistic spectrum disorder (ASD) for improving short- and long-term outcomes.We conducted a literature search up to the 8th of November 2019 by using key terms and manual search in selected sources. We summarized the recommendations and the strength of the recommendation when and as reported by the authors. We summarized the main findings of systematic reviews with the certainty of the evidence as reported.There are discrepancies among the recommendations given by different institutions on universal screening for ASD in children. Some recommend that all children should be screened with an ASD-specific instrument during well-child visits at ages 18 and 24 months in conjunction with ongoing developmental surveillance and broadband developmental screening; some conclude that the current evidence is insufficient to assess the balance of benefits and harms of screening for ASD in young children for whom no concerns of ASD have been raised by their parents or a clinician; and others recommend against universal screening, but for a screening among children with high risks.There is adequate evidence that ASD screening tools applied to children between 12 and 36 months accurately identify those with ASD. There is some evidence showing benefit of early interventions applied to children with ASD, from children identified with developmental concern by their family, teacher or clinicians. We found no evidence on the effectiveness of interventions applied to children with ASD detected through screening.

2020 edition of the Rourke Baby Record: What is new in preventive care of children up to 5 years of age?

OBJECTIVE

To update primary care providers practising well-child and well-baby clinical care on the evidence that contributed to the recommendations of the 2020 edition of the Rourke Baby Record (RBR).

QUALITY OF EVIDENCE

Pediatric preventive care literature was searched from June 2016 to May 2019, primary research studies were reviewed and critically appraised using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) methodology, and recommendations were updated where there was support from the literature.

MAIN MESSAGE

Notable changes in the 2020 edition of the RBR include the recommendations to limit or avoid consumption of highly processed foods high in dietary sodium, to ensure safe sleep (healthy infants should sleep on their backs and on a firm surface for every sleep, and should sleep in a crib, cradle, or bassinette in the parents' room for the first 6 months of life), to not swaddle infants after they attempt to roll, to inquire about food insecurity, to encourage parents to read and sing to infants and children, to limit screen time for children younger than 2 years of age (although it is accepted for videocalling), to educate parents on risks and harms associated with e-cigarettes and cannabis, to avoid pesticide use, to wash all fruits and vegetables that cannot be peeled, to be aware of the new Canadian Caries Risk Assessment Tool, to note new red flags for cerebral palsy and neurodevelopmental problems, and to pay attention to updated high-risk groups for lead and anemia screening.

CONCLUSION

The RBR endeavours to guide clinicians in providing evidence-informed primary care to Canadian children. The revisions are rigorously considered and are based on appraisal of a growing, albeit still limited, evidence base for pediatric preventive care.

Édition 2020 du Relevé postnatal Rourke

Objectif

Renseigner les fournisseurs de soins de première ligne qui dispensent des soins de médecine préventive durant l’enfance quant aux données ayant servi de fondement aux recommandations de l’édition 2020 du Relevé postnatal Rourke (RBR).

Qualité des données

Une recherche a effectuée parmi les publications sur les soins préventifs en pédiatrie entre les mois de juin 2016 et mai 2019, les principales études de recherche ont été revues et rigoureusement évaluées à l’aide de la méthode GRADE (Grading of Recommendations Assessment, Development and Evaluation ) et les recommandations ont été actualisées là où les publications étayaient des changements.

Message principal

Les changements notables de l’édition 2020 du RBR sont les recommandations de limiter ou d’éviter les aliments très transformés et riches en sodium alimentaire, de veiller au sommeil sécuritaire (les nourrissons en bonne santé doivent dormir sur le dos et sur une surface rigide à tous les dodos, et ils doivent dormir dans un moïse, un berceau ou une couchette dans la chambre des parents pendant les 6 premiers mois de vie), de ne pas emmailloter les nourrissons après qu’ils aient tenté de se retourner, de s’informer de l’insécurité alimentaire, d’encourager les parents à lire et à chanter aux nourrissons et aux enfants, de limiter le temps que les enfants de moins de 2 ans passent devant un écran (bien que ce soit accepté pour les appels vidéo), de renseigner les parents sur les risques et les torts associés aux cigarettes électroniques et au cannabis, d’éviter les pesticides, de laver tous les fruits et légumes ne pouvant être pelés, de connaître l’existence du nouvel Outil national d’évaluation du risque de caries, de noter les nouveaux symptômes alarmants de paralysie cérébrale et de problèmes neurodéveloppementaux et de porter attention aux nouveaux groupes à risque élevé pour le dépistage du plomb et de l’anémie.

Conclusion

Le RBR s’efforce de guider les cliniciens pour leur permettre de dispenser des soins de première ligne factuels aux enfants canadiens. Les révisions sont rigoureusement étudiées, et sont basées sur l’évaluation d’une base de données probantes croissante, quoique toujours limitée, sur les soins préventifs en pédiatrie.

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.

Developmental Signs of Autism Spectrum Disorder in Iranian Pre-Schoolers

PURPOSE

Early identification and intervention is recommended for developmental disabilities such as autism spectrum disorders (ASD). Various screening tools are available, but most were developed in affluent English speaking countries.

DESIGN AND METHODS

In order to identify possible early signs of ASD within Iranian society, parents of 623 children in an age range from 3 to 7 years of age at risk of ASD, were interviewed about the signs that alerted their concerns. Also two screening instruments were developed and tested with the parents using items derived from the Gilliam Autism Rating Scale (GARS2). One focused on autistic behaviors and the second on developmental indicators.

RESULTS

Using both tools, 93% of the children who were identified as likely to have ASD based on a full GARS assessment were identified using the two screening tools.

PRACTICE IMPLICATIONS

These assessments might be used in initial screening for ASD by early year's personnel or public health professionals with Iranian parents of toddlers who have concerns about their child's development.

Is Smiling the Key? Machine Learning Analytics Detect Subtle Patterns in Micro-Expressions of Infants with ASD

Time is a key factor to consider in Autism Spectrum Disorder. Detecting the condition as early as possible is crucial in terms of treatment success. Despite advances in the literature, it is still difficult to identify early markers able to effectively forecast the manifestation of symptoms. Artificial intelligence (AI) provides effective alternatives for behavior screening. To this end, we investigated facial expressions in 18 autistic and 15 typical infants during their first ecological interactions, between 6 and 12 months of age. We employed Openface, an AI-based software designed to systematically analyze facial micro-movements in images in order to extract the subtle dynamics of Social Smiles in unconstrained Home Videos. Reduced frequency and activation intensity of Social Smiles was computed for children with autism. Machine Learning models enabled us to map facial behavior consistently, exposing early differences hardly detectable by non-expert naked eye. This outcome contributes to enhancing the potential of AI as a supportive tool for the clinical framework.

Information and Communication Technologies to Support Early Screening of Autism Spectrum Disorder: A Systematic Review

&nbsp;The aim of this systematic review is to identify recent digital technologies used to detect early signs of autism spectrum disorder (ASD) in preschool children (i.e., up to six years of age). A systematic literature search was performed for English language articles and conference papers indexed in Pubmed, PsycInfo, ERIC, CINAHL, WoS, IEEE, and ACM digital libraries up until January 2020. A follow-up search was conducted to cover the literature published until December 2020 for the usefulness and interest in this area of research during the Covid-19 emergency. In total, 2427 articles were initially retrieved from databases search. Additional 481 articles were retrieved from follow-up search. Finally, 28 articles met the inclusion criteria and were included in the review. The studies included involved four main interface modalities: Natural User Interface (e.g., eye trackers), PC or mobile, Wearable, and Robotics. Most of the papers included (n = 20) involved the use of Level 1 screening tools. Notwithstanding the variability of the solutions identified, psychometric information points to considering available technologies as promising supports in clinical practice to detect early sign of ASD in young children. Further research is needed to understand the acceptability and increase use rates of technology-based screenings in clinical settings.&nbsp.

A Two-Stage Screening Approach with I-TC and Q-CHAT to Identify Toddlers at Risk for Autism Spectrum Disorder within the Italian Public Health System

Standardized screening programs ensure that children are monitored for early signs of autism spectrum disorder (ASD) in order to promote earlier diagnosis and intervention. The aim of this study is to identify early signs of atypical development consistent with ASD or other developmental disorders in a population of 224 low-risk toddlers through a two-stage screening approach applied at 12 and 18 months of age. We adopted two screening tools combined: 1. the Communication and Symbolic Behavior Scales Developmental Profile (CSBS DP) Infant-Toddler Checklist (I-TC) and 2. The Quantitative Checklist for Autism in Toddlers (Q-CHAT). We assessed their sensitivity and specificity related to the diagnostic outcome at 36 months. The results showed that autistic signs can be detected as early as the first year even through a few questions extrapolated from both screeners and that our model could be used as a screening procedure in the Italian public health system.