School Age Outcomes of Children Diagnosed Early and Later with Autism Spectrum Disorder

Predictive validity of the Standardized Infant NeuroDevelopmental Assessment (SINDA) to identify 4-5 year-old children at risk of developmental delay in a low-risk sample

BACKGROUND

Early detection of developmental problems is important as it allows for early intervention. Previous studies, in high-risk infants, found high predictive values of atypical scores on the Standardized Infant NeuroDevelopmental Assessment (SINDA) for later neurodevelopmental disorders (i.e., cerebral palsy, intellectual disability).

AIMS

The present study explored SINDA's predictive values to identify risk of developmental delay at 4-5 years.

STUDY DESIGN

Cohort study.

SUBJECTS

786 low-risk Dutch children (367 boys; median gestational age: 40 (27-42) weeks; mean birth weight: 3455 (SD 577) grams).

OUTCOME MEASURES

The SINDA was assessed at 2-12 months and risk of developmental delay was assessed using the Ages and Stages Questionnaire (ASQ) at 4-5 years. SINDA's predictive values were determined for five ASQ domains and the total ASQ score for children at risk of marked (all ASQ domains deviant) and any (one or more ASQ domains deviant) developmental delay.

RESULTS

Presence of one atypical SINDA scale score showed low to moderate sensitivities (12-88 %, depending on the SINDA scale and ASQ domain involved), moderate to high specificities (66-94 %), low positive predictive values (PPVs; 3-16 %), and high negative predictive values (NPVs; 95-100 %) for children at risk of marked and any developmental. Presence of multiple atypical SINDA scale scores predicted deviant ASQ domains slightly better (sensitivities = 11-62 %, specificities = 90-98 %, PPVs = 6-30 %, and NPVs = 95-100 %).

CONCLUSIONS

In low-risk infants, SINDA's predictive value is low for detecting children at risk of marked and any developmental delay at 4-5 years, as reflected by the low sensitivities. One of the explanations is the relatively low prevalence of developmental delay in low-risk populations. This might have consequences for the application of the SINDA in general healthcare settings (e.g. child health clinics), but further studies are needed to draw this conclusion.

Early identification of autism spectrum disorder based on machine learning with eye-tracking data

BACKGROUND

Early identification of autism spectrum disorder (ASD) improves long-term outcomes, yet significant diagnostic delays persist.

METHODS

A retrospective cohort of 449 children (ASD: 246, typically developing [TD]: 203) was used for model development. Eye-movement data were collected from the participants watching videos that featured eye-tracking paradigms for assessing social and non-social cognition. Five machine learning algorithms, namely random forest, support vector machine, logistic regression, artificial neural network, and extreme gradient boosting, were trained to classify children with ASD and TD. The best-performing algorithm was selected to build the final model which was further evaluated in a prospective cohort of 80 children. The Shapley values interpreted important eye-tracking features.

RESULTS

Random forest outperformed other algorithms during model development and achieved an area under the curve of 0.849 (< 3 years: 0.832, ≥ 3 years: 0.868) on the external validation set. Of the ten most important eye-tracking features, three measured social cognition, and the rest were related to non-social cognition. A deterioration in model performance was observed using only the social or non-social cognition-related eye-tracking features.

LIMITATIONS

The sample size of this study, although larger than that of existing studies of ASD based on eye-tracking data, was still relatively small compared to the number of features.

CONCLUSIONS

Machine learning models based on eye-tracking data have the potential to be cost- and time-efficient digital tools for the early identification of ASD. Eye-tracking phenotypes related to social and non-social cognition play an important role in distinguishing children with ASD from TD children.

Leisure, Employment, Community Participation, and Quality of Life in Primary Caregivers of Autistic Children: A Qualitative Study

PURPOSE

In prioritising the needs of their autistic children, parents often modify their own participation across leisure, social, and workforce activities. Few studies have examined the impact these modifications have on caregiver quality of life (QoL). The aim in the current study was to examine how parenting their autistic child/ren impacts parent's participation and QoL.

METHODS

Twenty primary caregivers (29-48 years, all female) of autistic children (7-11 years) were interviewed online about their participation in leisure, community, and employment activities including the impact of COVID-19.

RESULTS

Five themes with underlying subthemes were identified using reflexive thematic analysis. The themes were: (1) Reflecting on the important things in life, (2) Getting access to everything needed, (3) Barriers to participation in meaningful activities, (4) Facilitators of participation in meaningful activities, and (5) Participation through the COVID-19 pandemic.

CONCLUSION

The findings highlight the importance of regular participation in meaningful activities for parents of autistic children and the support needed by them, particularly single parents, to achieve balance between meeting caring responsibilities and their own participation needs.

Predictors of Developmental and Adaptive Behaviour Outcomes in Response to Early Intensive Behavioural Intervention and the Early Start Denver Model

Many autistic children require support to meet their learning needs. Given the heterogeneity within the autism spectrum it is plausible that different types of support might be better suited to different children. However, knowledge on what interventions work best for which children is limited. We examined the outcomes of autistic preschool-aged children receiving one of two community early intervention approaches. Our main objective was to understand which baseline child characteristics might be associated with the degree of individual response to intervention-whether prognostically (i.e., irrespective of intervention received) or predictively (i.e., specifically in the context of one or other EI approach). Participants comprised two matched groups of preschool-aged autistic children receiving either Group-based Early Start Denver Model (G-ESDM; n = 42) delivered in a 1:3-4 staff:child ratio or an Early Intensive Behavioural Intervention (EIBI; n = 40) delivered in combination of 1:1 and 1:2 staff:child ratio. Over an approximate one-year follow-up period, children in both groups made significant gains in Developmental Quotient (DQ) scores, and trend-level gains in adaptive behaviour composite scores. Higher attention to a playful adult measured via an eye-tracking task was prognostically indicative of better verbal DQ and adaptive behaviour outcomes for the cohort overall. Moderation analyses indicated a single predictive effect-of pre-program sustained attention for subsequent NVDQ outcomes specific to those children receiving G-ESDM. These findings suggest that fine-grained measures of learning skills offer promise towards the selection and tailoring of intervention approaches to meet individual children's learning needs.

Examination of Clinical and Assessment Type Differences Between Toddlers with ASD from Multiplex and Simplex Families

Few studies have examined differences in autism spectrum disorder (ASD) phenotype between children from multiplex and simplex families at the time of diagnosis. The present study used an age- and gender-matched, community-based sample (n = 105) from the southwestern United States to examine differences in ASD symptom severity, cognitive development, and adaptive functioning. No significant differences between children from multiplex and simplex families were observed. Exploratory analysis revealed that parents underreported receptive and expressive language and fine motor skills compared to professional observation, especially among children from multiplex families. These findings suggest that diagnosticians may need to consider family structure when choosing and interpreting assessments of receptive language, expressive language, and fine motor skills.

Autism Detection in Children: Integrating Machine Learning and Natural Language Processing in Narrative Analysis

Despite the consensus that early identification leads to better outcomes for individuals with autism spectrum disorder (ASD), recent research reveals that the average age of diagnosis in the Greek population is approximately six years. However, this age of diagnosis is delayed by an additional two years for families from lower-income or minority backgrounds. These disparities result in adverse impacts on intervention outcomes, which are further burdened by the often time-consuming and labor-intensive language assessments for children with ASD. There is a crucial need for tools that increase access to early assessment and diagnosis that will be rigorous and objective. The current study leverages the capabilities of artificial intelligence to develop a reliable and practical model for distinguishing children with ASD from typically-developing peers based on their narrative and vocabulary skills. We applied natural language processing-based extraction techniques to automatically acquire language features (narrative and vocabulary skills) from storytelling in 68 children with ASD and 52 typically-developing children, and then trained machine learning models on the children's combined narrative and expressive vocabulary data to generate behavioral targets that effectively differentiate ASD from typically-developing children. According to the findings, the model could distinguish ASD from typically-developing children, achieving an accuracy of 96%. Specifically, out of the models used, hist gradient boosting and XGBoost showed slightly superior performance compared to the decision trees and gradient boosting models, particularly regarding accuracy and F1 score. These results bode well for the deployment of machine learning technology for children with ASD, especially those with limited access to early identification services.

'We wait and we wait'-caregiver perspectives on autism spectrum disorder services in the Western Cape Province of South Africa

INTRODUCTION

Caregivers of children with autism face significant challenges in navigating health, education and other systems of care to ensure appropriate services for their children. In South Africa, for example, many children with autism are reported to be out of schools and waiting long periods for specialist school placements thus adding to the burden of care for caregivers and raising many questions about equity, diversity and inclusion.

METHODS

Here we performed a qualitative study using focus groups to collect data on the perspectives of caregivers of children with autism waiting for school placement in the Western Cape Province of South Africa. We asked families about their experiences of current autism services and for suggestions to improve service delivery.

RESULTS

The main theme that emerged was 'We wait and we wait'. Caregivers expressed high levels of frustration with existing autism educational and other services. Perspectives about services were captured under three categories. The first category, 'The costs of waiting' describes the socioemotional, financial and time costs associated with having a child with autism wait for educational services. The second category 'Barriers while waiting' describes the attitudinal, structural, process and communication barriers experienced by caregivers while seeking services for their children. The final category 'Expecting action' describes attitudinal, service and policy expectations that caregivers felt could improve service delivery. Caregivers provided 10 recommendations for autism service improvements.

CONCLUSION

Caregivers of children with autism waiting for educational services in the Western Cape Province of South Africa expressed dissatisfaction with existing services. Efforts to find solutions to providing services and support to children with autism waiting for educational services and their caregivers should be prioritized.

Investigating Parental Observations of Early Autism Development in Simplex and Multiplex Families

Past research has highlighted the importance of early identification of developmental differences to improve targeted access to early interventions or supports. As such, it is of particular importance in the context of children at elevated likelihood of autism (such as where an older sibling has a diagnosis of autism), to better understand when and which early concerns are important as predictors of which children will benefit from pre-diagnostic supports. This study explored the number and frequency of retrospective parent reported concerns within the first year of life for children diagnosed with autism, both those who had an older sibling diagnosed with autism and those who did not, as well as for undiagnosed siblings. We found that at both 0-6 and 7-12 months, the only factor related to the presence or absence of early parent reported concerns was child diagnostic status, with the presence of reported early concerns more likely for children with a diagnosis of autism. These findings suggest that for children at elevated likelihood of autism, parents' concerns are driven primarily by developmental differences, with child's birth order and sibling diagnostic status not impacting on parent early concerns.

Explaining differences in autism detection timing: Age of diagnosis and associated individual and socio-familial factors in Chinese children

LAY ABSTRACT

Timely detection is an issue of paramount importance in the care of children with autism spectrum disorder. Whether the delayed autism spectrum disorder diagnosis can be explained by children's clinical presentations and socio-familial status in China is a question to be addressed. We investigated 1235 autism spectrum disorder children from 132 rehabilitation organisations in Shenzhen, China. These children were found to have a mean age of diagnosis of 31.4 ± 12.7 months and a median age of diagnosis of 30.0 months. The majority of these children were able to receive their diagnosis during toddlerhood. However, about one in six were not diagnosed until they entered preschool or later, thus missing the golden window of opportunity for early intervention. The age of diagnosis was likely to be late if the children were older, were less severe and presented with no intellectual impairment. The odds of having a delayed autism spectrum disorder diagnosis were more than 9 times higher among migrant autism spectrum disorder children than among those with local household registrations, thus underscoring the importance of identifying culturally sensitive socio-economic determinants in autism spectrum disorder detection, as these factors are likely to affect the quality of life of many autism spectrum disorder children and their families.

Demographic and autism characteristics as predictors of age of autism diagnosis of individuals with autism in Paraguay

LAY ABSTRACT

Autism is a lifelong condition characterized by repetitive behaviors and social communication differences. The reported cases of autism increased globally in the past years. Detecting autism early and providing appropriate supports promptly are crucial for better outcomes. Yet, little research focuses on what factors interplay in the diagnostic process of autistic children in Paraguay. We gathered data from 176 caregivers of autistic children under 18 years in Paraguay. Through a detailed analysis, we found that child's age, child's age at the caregiver's first concerns about their development, and the child's verbal skills are key in predicting the age of autism diagnosis in Paraguay. Educating caregivers and professionals about autism and social communication development can help identify autism early and provide timely support.

The challenges for early intervention and its effects on the prognosis of autism spectrum disorder: a systematic review

Autism spectrum disorder (ASD) is expressed with neurobehavioral symptoms of different degrees of intensity. It is estimated that, for every three cases detected, there are two cases that reach adulthood without treatment.

Objective

To establish what challenges are still present in the implementation of early intervention (EI) and its effects on the prognosis of ASD.

Methods

A systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (Prisma) methodology was carried out in the PubMed and ScienceDirect databases in January 2023. The search keywords were "autism spectrum disorder", "early intervention" and "prognosis".

Results

Sixteen studies were included, two randomized and 14 non-randomized. Knowledge about the signs of ASD, diagnostic and therapeutic methods, age at the start of treatment, and socioeconomic factors were the main challenges encountered in the implementation of the EI.

Conclusion

EI is capable of modifying the prognosis of ASD and challenges in its implementation persist, especially in developing regions with low socioeconomic status.

Clinicians' views on cognitive assessment with Aboriginal Australians

BACKGROUND

A shortage of standardised cognitive assessment tools for use with Aboriginal Australians is evident. Clinicians also miss the range of guidelines necessary to inform test selection and interpretation for all Aboriginal clients. This mixed methods study examines clinicians' confidence, views and current practices when conducting cognitive assessments with Aboriginal Australian clients.

METHODS

Clinicians were asked about factors that influence their likelihood of using standardised testing in Aboriginal vs non-Indigenous Australian people. Twenty-one health professionals with experience conducting cognitive assessments with Aboriginal and non-Aboriginal Australians participated. Clinicians were presented with a series of different scenarios per the client's level of education and language of origin via an online survey. Clinicians rated their likelihood and confidence using standardised cognitive assessment for each scenario. Open-ended questions captured clinicians' views and information about their current clinical practices.

RESULTS

Clients' age, education and language of origin influence the likelihood of clinicians' use of standardised cognitive assessment measures with Aboriginal people. Overall, clinicians reported feeling only slightly more confident working with non-Indigenous clients than Aboriginal clients. Qualitative data indicate a lack of consistency regarding test selection.

CONCLUSION

Clinicians expressed concerns about the validity of available cognitive assessment tools for use with Aboriginal Australians and the absence of evidence to assist decision-making. Cited barriers included language, educational attainment and cultural factors.

Using normalization process theory to inform practice: evaluation of a virtual autism training for clinicians

Background

There is growing demand for developmental and behavioral pediatric services including autism evaluation and care management. Clinician trainings have been found to result in an increase of knowledge and attitudes. This study utilizes Normalization Process theory (NPT) to evaluate a clinician training program and its effects on practice.

Methods

The year-long virtual training program about autism screening and care management included didactic portions and case presentations. Focus groups and interviews were conducted with primary care clinicians (n = 10) from community health centers (n = 6) across an urban area five months post-training. Transcripts were deductively coded using NPT to uncover barriers to implementation of autism screening and care, benefits of the training program, and areas for future training.

Results

Participants were motivated by the benefits of expanding and improving support for autistic patients but noted this effort requires effective collaboration within a complex network of care providers including clinicians, insurance agencies, and therapy providers. Although there were support that participants could provide to families there were still barriers including availability of behavior therapy and insufficient staffing. Overall, participants positively viewed the training and reported implementing new strategies into practice.

Conclusion

Despite the small sample size, application of NPT allowed for assessment of both training delivery and implementation of strategies, and identification of recommendations for future training and practice sustainability. Follow-up focus groups explored participants' practice five months post-program. Variations in participants' baseline experience and context at follow-up to enable application of skills should be considered when using NPT to evaluate clinician trainings.

Relationship between Parental Concerns about Social-Emotional Reciprocity Deficits and Their Children's Final ASD Diagnosis

Concerns raised by parents regarding their child's development are compatible with the child's final diagnosis of autism spectrum disorder. A better understanding of the relationship between parental concerns and a final diagnosis of autism spectrum disorder is therefore critical. In the current study, we compared the frequencies of parental concerns related to DSM-5 criteria for autism spectrum disorder between pair-matched groups with and without a final diagnosis of autism spectrum disorder and determined which parental concerns predicted a final diagnosis of autism spectrum disorder. The cohort included 80 participants (48-154 months of age, IQ > 70) assessed for a possible autism spectrum disorder diagnosis. Parental concerns were retrieved from the free-description portion of the introductory questions of the Autism Diagnostic Interview-Revised and analyzed to assess whether they corresponded to any of the seven DSM-5 criteria for ASD. The two groups only differed in the frequency of parental concerns relating to deficits in social-emotional reciprocity. Parents of children diagnosed with autism spectrum disorder were four times as likely to report deficits in social-emotional reciprocity. This finding highlights the significance of parental concerns regarding deficits in social-emotional reciprocity in predicting a final diagnosis of autism spectrum disorder.

Reliability and validity of the Autism Screen for Kids and Youth

LAY ABSTRACT

It is important that autistic children be diagnosed as early as possible so their needs can be met and their families can gain important insights into their behavior and interact with them appropriately. However, very few autism screening instruments are appropriate for children who have outgrown early childhood. The Autism Screen for Kids and Youth (ASKY) presents parents of children aged 4-18 years with 30 items that relate to autistic behaviors as defined by the current clinical diagnostic criteria for autism spectrum disorder (DSM-5 ASD). We evaluated the Hebrew instrument's performance on 167 autistic and non-autistic children and adolescents. We found that the ASKY algorithm correctly identified 92% of the autistic individuals as "probable ASD" and correctly identified 72% of the non-autistic individuals as "probable non-ASD," with these classifications showing excellent stability over time. Using total questionnaire score instead of the algorithm improved the ASKY's ability to correctly identify autistic individuals as "probable ASD" and non-autistic individuals as "probable non-ASD" to 93% and 78%, respectively. Overall, the ASKY is a promising instrument for ASD screening of older children.

The first six months of life: A systematic review of early markers associated with later autism

There is now good evidence that behavioural signs of autism spectrum conditions (autism) emerge over the first two years of life. Identifying clear developmental differences early in life may facilitate earlier identification and intervention that can promote longer-term quality of life. Here we present a systematic review of studies investigating behavioural markers of later autism diagnosis or symptomology taken at 0-6 months. The following databases were searched for articles published between 01/01/2000 and 15/03/2022: Embase, Medline, Scopus, PubMed, PsycINFO, CINAHL, Web of Science and Proquest. Twenty-five studies met inclusion criteria: assessment of behaviour at 0-6 months and later assessment of autism symptomology or diagnosis. Studies examined behaviours of attention, early social and communication behaviours, and motor behaviours, as well as composite measures. Findings indicated some evidence of measures of general attention, attention to social stimuli, and motor behaviours associated with later autism diagnosis or symptomology. Findings were inconsistent regarding social and communication behaviours, with a lack of repeated or validated measures limiting drawing firm conclusions. We discuss implications of the findings and suggest recommendations for future research.

Development, delivery, and evaluation of a training program for the early identification of autism: Monitoring of Social Attention, Interaction, and Communication

Introduction

Early identification of Autistic children is an important precursor to diagnosis, and access to supports and services. Here we describe the training of the maternal and child health (MCH) workforce in the state of Victoria, Australia in the early identification of infants and toddlers with a high likelihood of autism.

Methods

In 2019, 1,428 MCH nurses completed early autism training held at venues across the state, with an additional 82 nurses completing online-only training. A training needs analysis enabled the research team to determine the workforce's current skill and knowledge levels, and to identify knowledge gaps, training needs and workplace barriers. The professional development program, known as Monitoring of Social Attention, Interaction, and Communication (MoSAIC), comprised: online pre-workshop modules; a face-to-face instructor-led workshop, which included the use of the Social Attention and Communication-Revised (SACS-R) tool; and online post-workshop modules, which included a recording of a face-to-face workshop with all accompanying resources. This was the first time that the MCH workforce received this training package. Attendees were asked to complete a training satisfaction survey immediately following the face-to-face instructor-led workshop and a follow-up survey regarding their autism knowledge and SACS-R implementation 4-6 weeks after the workshop.

Results

Over 90% (n = 325) of MCH nurses who completed the training satisfaction survey agreed or strongly agreed with statements that the training was clear and of high quality. Most nurses also reported that the training was well-presented and that they would recommend it to a colleague. In the 6 months following the training, a total of 82,581 SACS-R assessments were conducted by the MCH workforce, reflecting that MCH nurses had successfully integrated SACS-R assessments into their work practice after receiving the early autism identification training.

Discussion

This study demonstrated that training on the early identification of autism can be successfully designed, customized, and delivered to a large primary healthcare workforce for universal developmental surveillance of autism.

Who Is Attending? The Role of Child Ethnicity and Maternal Demographics in Research Engagement and Early Identification of Autism

Inequitable access to early autism developmental surveillance is evident globally. However, there is limited research examining autism diagnosis, ethnicity, and community profiles when engaging in research for the early identification of autism. We aimed to understand the relationships between child ethnicity, maternal demographics, and autism diagnosis, comparing retrospective data from the 2016 census for eight local government areas (LGAs) in Victoria, Australia. Maternal and child health (MCH) nurses monitored 13,511 children under 42 months for the early signs of autism using the Social Attention Communication Surveillance-Revised (SACS-R) and SACS-R Preschool (SACS-PR) tools during well-child checks. Of these, 340 children with a "high likelihood" of autism attended developmental assessments. Participants' maternal ethnicity ('European maternal ethnicity', EME; 'non-European maternal ethnicity,' N-EME; 'mixed maternal ethnicity,' MME'), socioeconomic factors, and autism prevalence were compared to their LGA community. Results indicated that study participants were representative of their LGA communities, though bi- and multilingualism was higher in our cohort. Differences in current maternal employment, maternal education, annual family income, and autism prevalence were found between the N-EME, EME, and MME groups. Our study found that research engagement was driven by maternal education, maternal employment, and annual family income, and further research is required to understand these relationships.

Improving Access to Diagnostic Evaluations for Developmental Disabilities Through an Initial Assessment Model

OBJECTIVE

This study aimed to evaluate a novel model of care to improve access to diagnostic evaluations for autism spectrum disorder and/or developmental delays for school-age children.

METHODS

An "initial assessment" (IA) model for children aged 7 to 9 years was implemented at a large regional pediatric hospital. Referral patterns and the number of patients evaluated with the IA model were obtained through the electronic health record (EHR). Referral patterns from the EHR were checked against clinician surveys.

RESULTS

Total IA volume had a strong negative association with school-age WL volume ( r (22) = -0.92, p < 0.001), indicating that as IA volume increased, the WL volume declined. Evaluation of referral patterns after IAs revealed that approximately 1 in 3 children seen for IA did not require further evaluation and could be immediately removed from the WL.

CONCLUSION

Results indicate that implementation of a novel IA model was strongly associated with a decrease in WL volume for neurodevelopmental evaluations of school-age children. These findings support a "right-fit" approach to optimize clinical resources and improve access to neurodevelopmental evaluations.

The whole-body motor skills of children with autism spectrum disorder taking goal-directed actions in virtual reality

Many symptoms of the autism spectrum disorder (ASD) are evident in early infancy, but ASD is usually diagnosed much later by procedures lacking objective measurements. It is necessary to anticipate the identification of ASD by improving the objectivity of the procedure and the use of ecological settings. In this context, atypical motor skills are reaching consensus as a promising ASD biomarker, regardless of the level of symptom severity. This study aimed to assess differences in the whole-body motor skills between 20 children with ASD and 20 children with typical development during the execution of three tasks resembling regular activities presented in virtual reality. The virtual tasks asked to perform precise and goal-directed actions with different limbs vary in their degree of freedom of movement. Parametric and non-parametric statistical methods were applied to analyze differences in children's motor skills. The findings endorsed the hypothesis that when particular goal-directed movements are required, the type of action could modulate the presence of motor abnormalities in ASD. In particular, the ASD motor abnormalities emerged in the task requiring to take with the upper limbs goal-directed actions with low degree of freedom. The motor abnormalities covered (1) the body part mainly involved in the action, and (2) further body parts not directly involved in the movement. Findings were discussed against the background of atypical prospective control of movements and visuomotor discoordination in ASD. These findings contribute to advance the understanding of motor skills in ASD while deepening ecological and objective assessment procedures based on VR.

A Systematic Review of the Efficacy of Early Initiation of Speech Therapy and Its Positive Impact on Autism Spectrum Disorder

Autism spectrum disorder (ASD) is a condition that consists predominantly of an apparent early delay in communication and social skills. Among the multiple identified etiologies, genetics play a key role. The implementation of early interventional therapy for children with ASD is starting to show promising results. A few medical databases were used to collect multiple published types of research, which were thoroughly screened. Ultimately, a small amount was selected according to the defined eligibility criteria. The 12 articles that were reviewed involved a more significant number of boys than girls, and most clinical trials displayed the importance of starting early therapy. Astonishingly, the overwhelming effects of the COVID-19 pandemic did not affect the continuation of speech therapy in certain areas. In addition, studies emphasize knowledge scarcity, insufficient resources in certain areas, and the demand to educate the community. Conversely, no difference in the level of severity was noted with the implementation of early therapy. Early therapy, chiefly speech therapy used to treat children with ASD, demonstrated favorable outcomes. Communities require awareness about the condition on a broader scale to educate caregivers on early alarming symptoms. All in all, additional exploration needs to be done.

ASD Diagnosis and Treatment Experiences Among Mexican Heritage Families

To understand the ASD diagnosis and treatment pathways for US families, N = 38 Mexican-heritage mothers were interviewed about how and when they obtained an ASD diagnosis for their children. Most children (84%) were diagnosed between two and three years old. One-third of mothers reported receiving four to seven referrals before diagnosis. Mothers identified multiple diagnosis circumstances including two diagnoses and services offered before diagnosis. A multiple case study design documented the diagnosis and treatment experiences of four representative participants. As compared to previous studies that utilized a deficit lens to rationalize barriers to diagnosis and treatment (e.g., parents not knowledgeable about ASD), these findings revealed a complex understanding of how structural barriers (e.g., immigration status), initial diagnosis rejection among caregivers, and abrupt service cancellation complicated the diagnosis and treatment process. Implications identified suggestions to optimize and streamline ASD diagnosis and treatment pathways for Mexican heritage families.

Diagnostic delay in children with neurodevelopmental conditions attending a publicly funded developmental assessment service: findings from the Sydney Child Neurodevelopment Research Registry

OBJECTIVES

Early developmental assessment is crucial for effective support and intervention. This study examined factors that contribute to (a) older child age when caregivers first became concerned about their child's development and (b) older child age at the point of entry into developmental and diagnostic assessment. We also quantified how factors contributed to risk of children not receiving an assessment by 5 years and considered the acceptability of electronic data capture for families.

DESIGN

This cross-sectional study collected information about caregiver developmental concerns, family history and child characteristics.

SETTING

Children and families entered a large, publicly funded hospital-based paediatric developmental assessment service.

PARTICIPANTS

Consecutively enrolled children (N=916) aged 6 months to 17 years with neurodevelopmental concerns and their caregivers.

MAIN OUTCOMES AND MEASURES

A developmental history questionnaire completed by caregivers.

RESULTS

The average age that caregivers identified developmental concerns was 3.0 years of age but the average age of a receiving a developmental assessment was 6.6 years. Only 46.4% of children received a diagnostic assessment by 5 years of age, even though 88.0% of caregivers were concerned about their child's development by that age. Parental age, relationship status, education level, prior use of support services and being from a culturally and linguistically diverse background contributed to age at identification of concern, age at diagnostic assessment and the likelihood of receiving a diagnostic assessment by 5 years. Electronic data capture had high acceptability, with 88.2% of caregivers reporting a preference for electronic completion of questionnaires.

CONCLUSIONS

The study shows a substantial delay in diagnostic assessments that leaves most vulnerable children without an assessment by school age and highlights contributors to delays. These delays highlight the complexity of delivering early intervention and support policies that rely on swift and appropriate developmental assessment to vulnerable families.

Moderators of Age of Diagnosis in > 20,000 Females with Autism in Two Large US Studies

The objective of this study was to determine the clinical features that moderate a later age at ASD diagnosis in females in a large sample of females with ASD. Within two large and independent ASD datasets (> 20,000 females), females were first diagnosed with ASD 14-months later relative to males. This later age at diagnosis was moderated by a mild or atypical presentation, wherein repetitive behaviors were limited, IQ and language were broadly intact, and recognized symptoms emerged later in development. Females are at risk for a later age at ASD diagnosis and treatment implementation, and modification of early childhood ASD screening methods for females may be warranted.

A Parental-Report Questionnaire for Language Abilities and Pragmatics in Children and Adolescents with Autism Spectrum Disorders

The aim of this study was to test and validate a parental-report questionnaire, which assesses language abilities and pragmatics, in children with Autism Spectrum Disorders (ASD). We report two experiments: The first served as the initial test and the second sought to provide the first assessment of convergent validity. In total, we recruited 230 parents, where approximately two-thirds had a child with ASD. Results of factor analyses showed a consistent factor structure within each subscale, and the internal consistency was excellent for both sub-scales (Cronbach's alpha >0.90). Convergent validity was assessed by correlating the results of the questionnaire with two sub-scales of the Autism Quotient questionnaire. The correlations were all greater than 0.60. The final version of the questionnaire (following exclusion of problematic items) contains 30 items (12 for language abilities and 18 for pragmatics). We conclude that the questionnaire is a concise and practical instrument for use in a variety of contexts for assessing language functioning and communication in children with 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.

Parent experiences of obtaining an autism diagnosis for their daughter: An interpretative phenomenological analysis

LAY ABSTRACT

Autistic females are often diagnosed later than males and are also more likely to be misdiagnosed with other conditions. Co-occurring conditions may also be diagnosed at the time of the assessment but their autism diagnosis is missed. The majority of research examining the parent experience of obtaining an autism diagnosis for their child has included predominantly or exclusively male children in their samples. This study examines the experiences of parents in obtaining an autism diagnosis for their daughters in Australia through interview data which allowed for an exploration of their lived experiences. Several of the parents reported positive feelings of excitement or curiosity in relation to the assessment process which are emotions that have not been reported in earlier studies. While recent research advances have improved our understanding of gender differences in autistic behaviours, the findings of this study suggest that some practitioners have obsolete knowledge which may lead to misdiagnosis or missed diagnosis in some females. Although the extent that these experiences are representative of parents in the wider community is unknown, the fact that they are still being reported in the present day suggests that a proportion of health professionals continue to practice with outdated conceptualisations of autism.

Overall prognosis of preschool autism spectrum disorder diagnoses

BACKGROUND

Autism spectrum disorder is a neurodevelopmental disorder characterised by social communication difficulties, restricted interests and repetitive behaviours. The clinical pathway for children with a diagnosis of autism spectrum disorder is varied, and current research suggests some children may not continue to meet diagnostic criteria over time.

OBJECTIVES

The primary objective of this review was to synthesise the available evidence on the proportion of preschool children who have a diagnosis of autism spectrum disorder at baseline (diagnosed before six years of age) who continue to meet diagnostic criteria at follow-up one or more years later (up to 19 years of age).

SEARCH METHODS

We searched MEDLINE, Embase, PsycINFO, and eight other databases in October 2017 and ran top-up searches up to July 2021. We also searched reference lists of relevant systematic reviews.

SELECTION CRITERIA

Two review authors independently assessed prospective and retrospective follow-up studies that used the same measure and process within studies to diagnose autism spectrum disorder at baseline and follow-up. Studies were required to have at least one year of follow-up and contain at least 10 participants. Participants were all aged less than six years at baseline assessment and followed up before 19 years of age.

DATA COLLECTION AND ANALYSIS

We extracted data on study characteristics and the proportion of children diagnosed with autism spectrum disorder at baseline and follow-up. We also collected information on change in scores on measures that assess the dimensions of autism spectrum disorder (i.e. social communication and restricted interests and repetitive behaviours). Two review authors independently extracted data on study characteristics and assessed risk of bias using a modified quality in prognosis studies (QUIPS) tool. We conducted a random-effects meta-analysis or narrative synthesis, depending on the type of data available. We also conducted prognostic factor analyses to explore factors that may predict diagnostic outcome.

MAIN RESULTS

In total, 49 studies met our inclusion criteria and 42 of these (11,740 participants) had data that could be extracted. Of the 42 studies, 25 (60%) were conducted in North America, 13 (31%) were conducted in Europe and the UK, and four (10%) in Asia. Most (52%) studies were published before 2014. The mean age of the participants was 3.19 years (range 1.13 to 5.0 years) at baseline and 6.12 years (range 3.0 to 12.14 years) at follow-up. The mean length of follow-up was 2.86 years (range 1.0 to 12.41 years). The majority of the children were boys (81%), and just over half (60%) of the studies primarily included participants with intellectual disability (intelligence quotient < 70). The mean sample size was 272 (range 10 to 8564). Sixty-nine per cent of studies used one diagnostic assessment tool, 24% used two tools and 7% used three or more tools. Diagnosis was decided by a multidisciplinary team in 41% of studies. No data were available for the outcomes of social communication and restricted and repetitive behaviours and interests. Of the 42 studies with available data, we were able to synthesise data from 34 studies (69% of all included studies; n = 11,129) in a meta-analysis. In summary, 92% (95% confidence interval 89% to 95%) of participants continued to meet diagnostic criteria for autism spectrum disorder from baseline to follow-up one or more years later; however, the quality of the evidence was judged as low due to study limitations and inconsistency. The majority of the included studies (95%) were rated at high risk of bias. We were unable to explore the outcomes of change in social communication and restricted and repetitive behaviour and interests between baseline and follow-up as none of the included studies provided separate domain scores at baseline and follow-up. Details on conflict of interest were reported in 24 studies. Funding support was reported by 30 studies, 12 studies omitted details on funding sources and two studies reported no funding support. Declared funding sources were categorised as government, university or non-government organisation or charity groups. We considered it unlikely funding sources would have significantly influenced the outcomes, given the nature of prognosis studies.

AUTHORS' CONCLUSIONS

Overall, we found that nine out of 10 children who were diagnosed with autism spectrum disorder before six years of age continued to meet diagnostic criteria for autism spectrum disorder a year or more later, however the evidence was uncertain. Confidence in the evidence was rated low using GRADE, due to heterogeneity and risk of bias, and there were few studies that included children diagnosed using a current classification system, such as the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) or the eleventh revision of the International Classification of Diseases (ICD-11). Future studies that are well-designed, prospective and specifically assess prognosis of autism spectrum disorder diagnoses are needed. These studies should also include contemporary diagnostic assessment methods across a broad range of participants and investigate a range of relevant prognostic factors.

Relationship between cognitive ability and predictors for age at the time of autism spectrum disorder diagnosis

The rising prevalence of autism spectrum disorder (ASD) has increased awareness of the need for early diagnosis and intervention; however, not all children are diagnosed at preschool age. In the literature, findings regarding factors that may play a role in later diagnosis are inconsistent. Presence or absence of intellectual disability is a possible factor. This study aimed to identify factors associated with later diagnosis of ASD among children grouped according to low and high cognitive levels. Data of children who were previously diagnosed with ASD between 2002 and 2016 at a national autism center were analyzed. Better cognitive ability, having more siblings, and previous diagnosis of attention-deficit/hyperactivity disorder were predictors of later diagnosis among the entire cohort. Children exhibiting lower cognitive levels (LC-ASD; DQ/IQ < 70; n = 209) were diagnosed much earlier. Among this group, later ASD diagnosis was predicted by poorer adaptive behavior, more severe restricted and repetitive behaviors, and previous diagnosis of epilepsy. In the higher cognitive level group (HC-ASD; DQ/IQ ≥ 70; n = 321), familial variables and more severe social impairments were predictors of later ASD diagnosis. Clinicians should be aware of variables that may affect ASD diagnostic age among children with varying cognitive abilities.

SNP-PCR genotyping links alterations in the GABAA receptor (GABRG3: rs208129) and RELN (rs73670) genes to autism spectrum disorder among peadiatric Iraqi Arabs

INTRODUCTION

Autism spectrum disorder (ASD) is an increasing concern among the Iraqi Arab population. The genetic alterations that cause ASD are likely to converge at the synapse. This study investigated polymorphisms in the GABAA receptor subunit (GABRG3) and the RELN gene as putative biomarkers of ASD in a pediatric population in Iraq.

METHODS

The case control study included 60 patients with a clinical diagnosis of ASD (mild, moderate, or severe) according to DSM-IV criteria and matched healthy controls (n = 60). Blood samples were collected for DNA genotyping of SNPs rs736707 and rs208129 for RELN and GABRG3 using allele specific PCR. Assessment of genotype and allele distributions in patient groups used odd ratios (OR) with 95% confidence intervals and the Chi-square test. All statistical analysis was performed used SPSS software.

RESULT

The patient cohort was highly consanguineous, with increased ratio (p > 0.05) of males to females (3:1) in both ASD (mean age, 6.66 ± 3.05) and controls (mean age, 5.76 ± 2.3). Both GABRG3 rs208129 genotypes TT (OR 4.33, p = 0.0015) and TA (OR 0.259, P = 0.008), and the T and A alleles were significantly associated with ASD. The RELN rs736707 TC genotype (OR 2.626, P = 0.034) was the only significant association with ASD.

CONCLUSION

GABRG3 SNP rs208129 is a leading biomarker to predict genetic vulnerability to ASD in Iraqi Arabs. Expanded SNP panels and increased sample sizes are required for future GABRG3 studies, and to reach a consensus on RELN utility. Future ASD screening programs in Iraq should include genetic metrics in addition to clinical phenotype assessments.

Infants later diagnosed with autism have lower canonical babbling ratios in the first year of life

BACKGROUND

Canonical babbling-producing syllables with a mature consonant, full vowel, and smooth transition-is an important developmental milestone that typically occurs in the first year of life. Some studies indicate delayed or reduced canonical babbling in infants at high familial likelihood for autism spectrum disorder (ASD) or who later receive an ASD diagnosis, but evidence is mixed. More refined characterization of babbling in the first year of life in infants with high likelihood for ASD is needed.

METHODS

Vocalizations produced at 6 and 12 months by infants (n = 267) taking part in a longitudinal study were coded for canonical and non-canonical syllables. Infants were categorized as low familial likelihood (LL), high familial likelihood diagnosed with ASD at 24 months (HL-ASD) or not diagnosed (HL-Neg). Language delay was assessed based on 24-month expressive and receptive language scores. Canonical babble ratio (CBR) was calculated by dividing the number of canonical syllables by the number of total syllables. Generalized linear (mixed) models were used to assess the relationship between group membership and CBR, controlling for site, sex, and maternal education. Logistic regression was used to assess whether canonical babbling ratios at 6 and 12 months predict 24-month diagnostic outcome.

RESULTS

No diagnostic group differences in CBR were detected at 6 months, but HL-ASD infants produced significantly lower CBR than both the HL-Neg and LL groups at 12 months. HL-Neg infants with language delay also showed reduced CBR at 12 months. Neither 6- nor 12-month CBR was significant predictors of 24-month diagnostic outcome (ASD versus no ASD) in logistic regression.

LIMITATIONS

Small numbers of vocalizations produced by infants at 6 months may limit the reliability of CBR estimates. It is not known if results generalize to infants who are not at high familial likelihood, or infants from more diverse racial and socioeconomic backgrounds.

CONCLUSIONS

Lower canonical babbling ratios are apparent by the end of the first year of life in ASD regardless of later language delay, but are also observed for infants with later language delay without ASD. Canonical babbling may lack specificity as an early marker when used on its own.

A Delayed Diagnosis of Autism Spectrum Disorder in the Setting of Complex Attention Deficit Hyperactivity Disorder

Autism spectrum disorder (ASD) presents a diagnostic challenge due to its highly heterogeneous nature. The most common clinical manifestations include difficulty with social interaction and the presence of repetitive sensory-motor behaviors. Females are more likely to be misdiagnosed or have a delayed diagnosis compared to males. Other factors that contribute to delayed diagnosis include low socioeconomic status and belonging to an ethnic minority. In pediatrics, the goal of ASD screening is to diagnose ASD earlier, with timely referral to early intervention services, so that better long-term neurodevelopmental outcomes can be achieved. Moreover, attention deficit hyperactivity disorder (ADHD) is the most common comorbidity in patients with ASD. While the Diagnostic and Statistical Manual of Mental Disorders fourth edition (DSM-4) prohibited a co-diagnosis of autism and ADHD, the DSM-5 has modified exclusion criteria to allow such. This case describes a minority adolescent male patient who presented initially with complex ADHD, who upon extensive evaluation, was ultimately diagnosed with co-existing autism. This patient’s diagnosis of ASD at the age of 14 in the setting of a pre-existing complex ADHD diagnosis demonstrates how symptoms of inattention or hyperactivity may convolute underlying or newly emerging social interaction difficulties. We highlight how children who are diagnosed with ADHD should be screened or evaluated for autism in the right clinical setting, such as evident persistence of social interaction impairment despite ADHD treatment.

Aperiodic electrophysiological activity in preterm infants is linked to subsequent autism risk

Approximately 7% of preterm infants receive an autism spectrum disorder (ASD) diagnosis. Yet, there is a significant gap in the literature in identifying prospective markers of neurodevelopmental risk in preterm infants. The present study examined two electroencephalography (EEG) parameters during infancy, absolute EEG power and aperiodic activity of the power spectral density (PSD) slope, in association with subsequent autism risk and cognitive ability in a diverse cohort of children born preterm in South Africa. Participants were 71 preterm infants born between 25 and 36 weeks gestation (34.60 ± 2.34 weeks). EEG was collected during sleep between 39 and 41 weeks postmenstrual age adjusted (40.00 ± 0.42 weeks). The Bayley Scales of Infant Development and Brief Infant Toddler Social Emotional Assessment (BITSEA) were administered at approximately 3 years of age adjusted (34 ± 2.7 months). Aperiodic activity, but not the rhythmic oscillatory activity, at multiple electrode sites was associated with subsequent increased autism risk on the BITSEA at three years of age. No associations were found between the PSD slope or absolute EEG power and cognitive development. Our findings highlight the need to examine potential markers of subsequent autism risk in high-risk populations other than infants at familial risk.

The effect of different service models on quality of care in the assessment of autism spectrum disorder in children: study protocol for a multi-centre randomised controlled trial

Background

There is significant variability in clinical pathways available in the diagnostic assessment of ASD, including the order and timing of allied health assessments in relation to paediatrician consultations. Allied health professionals in first-contact models are increasingly used to improve the timeliness of healthcare access, whilst complementing medical specialty workforce shortages. Anecdotally, the implementation of allied health first-contact models in paediatrics has improved waitlists and timely access to healthcare. However, no rigorous studies have been conducted to evaluate the outcomes of these models. This study aims to determine the impacts of an allied health first-contact model on health service use and costs and patient quality of life and satisfaction.

Methods

An open, semi-blinded, multi-centre randomised controlled trial in paediatric outpatient clinics at two Australian metropolitan public hospitals. 56 children (0–16 years) fulfilling the inclusion criteria will be randomised to one of two clinical pathways for assessment of ASD: (1) allied health first-contact or (2) medical first-contact model. Cost outcomes will be collected from both health service and family perspectives. Caregiver-reported outcome measures include: Pediatric Quality of Life Inventory (PedsQL), the EuroQOL Five Dimension Youth Version (EQ-5D-Y), the Autism Family Experience Questionnaire (AFEQ) and Measure of Processes of Care.

Discussion

Evidence of improvements in service and consumer centric outcomes will help inform the development and implementation of high-value, evidenced based models of care for the assessment of ASD in children. The findings from this study are expected to contribute to the evidence base around the costs and consequences of allied health first contact models for the assessment of children with ASD in the Australian setting. Findings of this study may help to inform the allocation of health care resources while maintaining, or potentially improving, patient and family quality of life and experience of care. These findings may be useful in informing the wider adoption of these models in Australia and internationally, particularly in healthcare settings where medical specialist shortages exist.

Trial registration

Australia and New Zealand Clinical Trials Register (ANZCTR) ACTRN12621001433897. Registered: 25^th October, 2021.

Knowledge and Attitudes toward Autism Spectrum Disorder in Saudi Arabia

Aims: The diagnosis of autism spectrum disorder (ASD) is not easy as there is no direct test that exists to establish such a diagnosis. Increasing community and healthcare professional knowledge of the ASD spectrum is crucial because it will encourage parents of ASD children to seek screening and diagnosis from a specialist, allowing for better early detection and treatment. This study explored the knowledge of the general population in Saudi Arabia regarding ASD and assessed variables associated with an accurate understanding of ASD. Methods: A total of 769 participants were involved in this cross-sectional study, which was conducted in Saudi Arabia between November 2021 and February 2022 using an online survey tool to explore the knowledge of the general population in Saudi Arabia regarding typical child development and ASD. A binary logistic regression analysis was used to determine factors affecting participants’ knowledge of autism. Results: Overall, the study participants showed a weak level of knowledge about autism with a mean score of 5.9 (SD: 3.1), comprising 34.7% of the total maximum obtainable score. Participants with a middle income category of 5000–7500 SR are less likely to be knowledgeable about autism compared to others (OR: 0.60 (95% CI: 0.39–0.92)) (p-value = 0.020). Conclusion: The participants in our study showed limited knowledge about autism. Government funds should be made available to facilitate educational services for ASD children. More funding and resources should be allocated by the government to provide assistance for children with special needs, and changes in public facilities are required to meet the demands of ASD patients. Through an informed educational effort, various media platforms should assist in improving the community’s understanding of ASD and their attitude toward ASD patients. Educational campaigns should focus on enhancing the public’s knowledge about ASD treatment and etiology.

Social and Behavioural Outcomes of School Aged Autistic Children Who Received Community-Based Early Interventions

The school-age outcomes of autistic children who received early interventions (EI) remains limited. Adaptive functioning, social, peer play skills, problem behaviours, and attitudes towards school of 31 autistic children who received community-based group early start Denver model (G-ESDM) were compared to 28 age matched autistic children who received other community interventions. Similar adaptive behaviours, social skills, problem behaviours and attitudes towards school were found. Play disruption was the only dimension of play to differ; children that received community interventions demonstrated higher levels of play disruption compared to the G-ESDM group. Children had pervasive challenges in adaptive behaviour, social and play behaviour at school, irrespective of EI type. Thus, ongoing provisions are needed to support development into the school years.

Tackling healthcare access barriers for individuals with autism from diagnosis to adulthood

Most individuals with autism spectrum disorder (ASD)-a complex, life-long developmental disorder-do not have access to the care required to address their diverse health needs. Here, we review: (1) common barriers to healthcare access (shortage/cost of services; physician awareness; stigma); (2) barriers encountered primarily during childhood (limited screening/diagnosis; unclear referral pathways), transition to adulthood (insufficient healthcare transition services; suboptimal physician awareness of healthcare needs) and adulthood (shortage of services/limited insurance; communication difficulties with physicians; limited awareness of healthcare needs of aging adults); and (3) advances in research/program development for better healthcare access. A robust understanding of barriers to accessing healthcare across the lifespan of autistic individuals is critical to ensuring the best use of healthcare resources to improve social, physical, and mental health outcomes. Stakeholders must strengthen healthcare service provision by coming together to: better understand healthcare needs of underserved populations; strengthen medical training on care of autistic individuals; increase public awareness of ASD; promote research into/uptake of tools for ASD screening, diagnosis, and treatment; understand specific healthcare needs of autistic individuals in lower resource countries; and conduct longitudinal studies to understand the lifetime health, social, and economic impacts of ASD and enable the evaluation of novel approaches to increasing healthcare access. IMPACT: Despite the growing body of evidence, our understanding of barriers to healthcare encountered by individuals with ASD remains limited, particularly beyond childhood and in lower resource countries. We describe current and emerging barriers to healthcare access encountered by individuals with ASD across the lifespan. We recommend that stakeholders develop evidence-informed policies, programs, and technologies that address barriers to healthcare access for individuals with ASD and consider broad, equitable implementation to maximize impact.

Age of Autism Spectrum Disorder Diagnosis and Comorbidity in Children and Adolescents with Autism Spectrum Disorder

AIM

Research is required to study the relationship between age of autism spectrum disorder (ASD) diagnosis and the presence of comorbidities.

METHOD

The Gastrointestinal Symptom Inventory, Autism Spectrum Disorder-Comorbid for Children, Behavior Problem Inventory-Short Form and Social Communication Questionnaire were completed by parents of 129 children and adolescents with a diagnosis of ASD.

RESULTS

Results revealed significant relationships between the age of ASD diagnosis, the presence of comorbidities and intellectual disability. Significant correlations were found between the age of ASD diagnosis and self-injurious and stereotyped behavior. Comorbid psychopathology significantly predicted the presence of GI symptoms. In addition, the relationship between comorbid psychopathology and challenging behavior in this study was reported as bi-directional as both comorbidities predicted one another in the sample.

CONCLUSION

Future research needs to consider the role of comorbidities in relation to ASD diagnosis.

Diagnostic Stability and Phenotypic Differences Among School-Age Children Diagnosed With ASD Before Age 2

Given the importance of early detection, it is critical to understand the non-linearity in manifestation of ASD before age 24 months, when ASD symptoms are beginning to consolidate, through the age of 36 months when stability of ASD diagnosis is reportedly high into school-age when increased demands may challenge previously successful compensatory processes and permit first ASD detection. We employed a prospective, longitudinal design focused on children with an older sibling with ASD (n = 210) who received diagnostic evaluations at mean ages of 15.4 months (Time 1), 36.6 months (Time 2), and 5.7 years (Time 3) to examine: (1) diagnostic stability, (2) developmental trajectories associated with different patterns of ASD vs. non-ASD classifications, and (3) predictors of classification group over time. Clinical best estimate (CBE) diagnosis of ASD or non-ASD was made at each time point. Linear mixed-effects models were implemented to examine differences in developmental trajectories of stable and dynamic diagnostic groups. Multinomial logistic regression analyses were used to examine predictors of the likelihood of belonging to each CBE diagnostic classification group. Results revealed that sensitivity and stability of an ASD diagnosis significantly increased from Time 1 (sensitivity: 52%; stability: 63%) to Time 2 (sensitivity: 86%; stability: 68%). Different developmental trajectories of autism symptom severity and non-verbal and verbal IQ were observed across groups, with differences first observed at Time 1 and becoming more pronounced through Time 3. Presence of restricted and repetitive behaviors as well as limitations in initiation of joint attention and expressive language skills differentially predicted the likelihood of belonging to the different CBE diagnostic classification groups. Results suggest that ASD symptoms may emerge or attenuate over time, with some children meeting diagnosis at follow-up, and other children no longer meeting diagnostic criteria. From a systems perspective, diagnostic non-linearity may be viewed as a dynamic developmental process, where emergent properties arising from various biological, genetic, and experiential factors interact, culminating in phenotypic phenomena that change over time. Clinical implications include extending universal ASD and social communication screening into school-age, supporting families' understanding of diagnostic shifts, and ensuring unbiased diagnostic decision-making when following children with ASD.

Towards-Person Vocalization Effect on Screening for Autism Spectrum Disorders in the Context of Frustration

The purpose of this study is to investigate the vocalization characteristics of infants with autism spectrum disorder (ASD) in the context of frustration. The duration and frequency of vocalization in 48 infants with ASD and 65 infants with typical development (TD) were followed up to 24 months later for subsequent diagnosis. The typical vocalizations of infants with ASD were retrospectively analyzed, such as speech-like vocalizations, nonspeech vocalizations, vocalizations towards the person and non-social vocalizations. The results showed that, compared with the TD group, vocalizations of infants with ASD during the still-face period had lower typical vocalizations and characteristics associated with social intention, and that these characteristics were closely related to the clinical symptoms of ASD, among which vocalizations towards the person accompanied by social intention had discriminative efficacy.

Symptoms of autism spectrum disorder and developmental delay in children with low mental age

Objective: Autism spectrum disorder (ASD) in very young children with significant cognitive impairment is difficult to diagnose, depriving them of the earliest opportunities for autism-specific intervention. This study delineated specific symptoms in this group, compared to symptoms in children with Global Developmental Delay (GDD) and in ASD with milder developmental delays.Method: Autism Diagnostic Observation Schedule, 2nd Edition, Toddler Module revealed symptoms in three groups of toddlers, with mean ages of 17-20 months: (1) ASD and cognitive/language functioning below the 12-month level (ASD-MA < 12 mos; n = 28), (2) GDD (n = 27), and (3) ASD and cognitive/language functioning at or above the 12-month level (ASD-MA ≥ 12 mos; n = 29). Logistic regression models were fit to control for developmental level. Results: Items in all domains (social interaction, communication, repetitive movements) discriminated ASD-MA < 12 mos from GDD. The two ASD groups, matched for age but differing on developmental level, showed strikingly similar ASD symptomatology. Conclusion: ADOS-2 symptoms differentiated ASD-MA < 12 mos from GDD, after controlling for cognitive impairment. Symptoms in the two ASD groups were minimally related to developmental level. The ADOS-2 Toddler Module successfully captured ASD symptomatology even in children whose developmental level was below the recommended ADOS-2 cutoff of 12 months, which may increase their access to early ASD-specific intervention.

Rural and Racial/Ethnic Differences in Children Receiving Early Intervention Services

A review of the literature shows that racial and ethnic minority children (eg, African American, Asian, and Hispanic) received diagnoses for developmental concerns later in life compared with their age-matched white counterparts. Research has also documented disparities in access to and receipt of health care services among children with developmental concerns as compared with children with other disabilities.

OBJECTIVES

We examined health care providers' (HCPs') responses to parents' developmental concerns about their children. We looked at the association with race, ethnicity, gender, rurality, and time to diagnosis.

METHODS

All data were secondary and derived from the Centers for Disease Control and Prevention's Survey of Pathways to Diagnosis and Services. Participants consisted of 1321 parents of children who had received early intervention services as reported by respondents' data collected in 2011.

RESULTS

From a nationally representative sample of families receiving early intervention services, 76% were white, 10% were African American, 3% were Asian, 5% were Native American, and 9% were Hispanic. Families who were Hispanic were more likely to have received only a delaying response from HCPs. The average time to a developmental delay diagnosis was 5 months longer for families who received a delaying HCP response.

CONCLUSIONS

Families who were Hispanic or who were from rural areas were most likely to receive a delayed HCP response; for parents who received a delayed HCP response, a developmental delay diagnosis took 5 months longer than for families from the other groups listed.

Achieving Diagnostic Resolution in Young Children with Social Communication Concerns in a Predominantly Low-Income Population

Children in low-income families are at risk for delayed diagnosis of autism spectrum disorder (ASD). The cascade-of-care model, which examines steps of care for quality and efficacy, can identify lesions in the process for evaluation and diagnosis for children at risk for ASD. Little is known about predictors that influence key steps in this process. We performed a retrospective chart review of 110 children under age five years from an academic medical center with social communication concerns. We assessed predictors of age of referral for ASD diagnostic evaluation, time to diagnosis, and likelihood of diagnostic completion. Children with continuity of primary care were referred at an earlier age than those receiving primary care at multiple centers. Compared with children with missed visits, children attending all well-child visits had a shorter median time to diagnosis. These findings illustrate a need for primary medical homes to facilitate early and timely ASD evaluations.

Using latent profile analysis to evaluate the utility of a DSM-5 symptom checklist in screening children for autism spectrum disorder

Objective: Currently available screening measures for Autism Spectrum Disorder (ASD) typically do not reflect DSM-5 diagnostic criteria and generally have weak positive predictive values. These factors result in missed opportunities for early intervention, delays in diagnosis, and contribute to inefficient usage of healthcare resources by inadequately discerning those in need of comprehensive assessment. This study examined a DSM-5 ASD symptom checklist to determine whether parent-report response patterns could accurately identify which children received an ASD diagnosis. Method: Data were examined from 376 ASD evaluations in a three-year period. Latent profile analysis was used to determine if subgroups could be identified according to parent response patterns, and network analysis was implemented to examine the relationship among DSM-5 ASD criteria within each latent profile. Results: A four-profile model was best supported based on fit indices and high probability classifications. The model was largely a product of how parents responded regarding their child's sensory behavior and minimally reflected other symptomatology. Subsequent network analyses by profile indicated weak coherence among DSM-5 symptoms within all profiles. Overall, direct assessment of DSM-5 criteria based on parent report did not add diagnostic value beyond that reflected in base rates. Conclusions: Although continued refinement of ASD screening tools is needed to improve accuracy of referrals for evaluations and reduce wait time for diagnosis, this study continues to support the need for behavioral observation and formal assessment by trained clinicians. Continued development of sensitive and specific screening tools, likely with embedded behavioral and/or objective observation, is needed.

Connecting People with People: Diagnosing Persons with Fetal Alcohol Spectrum Disorder Using Telehealth

Fetal alcohol spectrum disorder (FASD) is a diagnostic term used to describe an array of structural, neurocognitive, and behavioral effects that result from prenatal alcohol exposure. While ongoing efforts have been made to increase the capacity of communities to provide early FASD diagnosis, there continues to be on-going challenges, particularly for remote and rural communities. Telehealth is the use of technology to connect communities at a distance and has been effectively used in medicine for several decades. This literature review describes the use of telehealth in FASD and other developmental disabilities and makes recommendations for how telehealth can be used to facilitate the assessment and diagnosis of FASD in rural and remote communities.

Changes in Knowledge on the Signs of Autism in Young Children (11-30 Months) among Female Community Health Volunteers in Nepal

Nepalese Female Community Health Volunteers' (FCHVs) knowledge on social attention and communication development and the early signs of autism was evaluated before, immediately after, and 12-months following training on typical and atypical social-communicative development in infants/toddlers, early signs of autism, and monitoring of key "markers" of autism using Social Attention and Communication Surveillance. FCHVs (N = 60) significantly improved their knowledge about autism and reported increased perceived confidence in monitoring and referring young children at high likelihood of autism following training, which was sustained one year later. FCHVs also reported a positive impact of training on their work. These findings indicate the effectiveness of training in improving FCHVs' knowledge and perceived confidence to monitor and refer young children at high likelihood of autism.

Examining factors related to the age of diagnosis of children with autism spectrum disorder from immigrant and non-immigrant backgrounds in a diverse clinical sample

A timely diagnosis of autism spectrum disorder (ASD) is important for children as that may help inform the best services and supports needed for optimal outcomes. However, disparities in the identification of ASD have been consistently documented for racial/ethnic minority and immigrant populations. The majority of studies of immigrant populations have focused on the qualitative experience of ASD, however, greater knowledge about the predictors of the age of initial ASD diagnosis is needed. This study examined the child, maternal, and family-level factors that predicted the age of initial ASD diagnosis in a diverse clinical sample through a retrospective medical record review. Medical records of clinical evaluations conducted between 2004 and 2014 were reviewed for children with ASD born to immigrant and non-immigrant mothers. Regression analyses found that for both groups of children with ASD, using verbal language to communicate and having another diagnosis (attention-deficit/hyperactivity disorder or another condition) predicted an older age of initial ASD diagnosis. For children with ASD born to immigrant mothers, residing in a multilingual household was associated with a younger age of diagnosis. These results highlight the complexities of an ASD diagnosis among diverse children and families, particularly among immigrant communities. LAY SUMMARY: This research looked at predictors of when children received their first autism spectrum disorder diagnosis across children born to immigrant mothers and children born to U.S.-born mothers. Living in a multilingual home was related to a younger age of diagnosis for children of immigrant mothers; being verbal and having another diagnosis was related to an older age of diagnosis for both groups of children. This highlights the need to improve diagnostic services for diverse children.