Identification and evaluation of children with autism spectrum disorders

CheerBrush: A Novel Interactive Augmented Reality Coaching System for Toothbrushing Skills in Children with Autism Spectrum Disorder

Autism Spectrum Disorder (ASD) is a common neurodevelopmental disorder that impacts one in every 54 children in the United States. Some children with ASD have learning and fine motor skill challenges that contribute to difficulties completing daily living tasks such as toothbrushing. Lack of toothbrushing skills may cause increased need for dental care and negative social feedback from peers. Technology based intelligent support systems offer the advantages of being accessible, engaging, and cost-effective. In this work, we present a novel interactive augmented reality coaching system, CheerBrush, to improve the toothbrushing skills of children with ASD. CheerBrush allows children to manipulate virtual objects like a toothbrush and toothpaste with their actual hand motions to practice the steps of toothbrushing. The virtual tasks of CheerBrush demonstrate these steps using audio and visual cues, while also showing the brushing process through a virtual avatar. CheerBrush also assesses toothbrushing skills with a custom designed mechatronic toothbrush to evaluate the system's coaching effectiveness. A feasibility study with 12 children (six children with ASD and six typically developing children) was conducted to evaluate the acceptability and effectiveness of CheerBrush. The data showed improvements in the toothbrushing motions and reduced stress for the children in the post-test. CheerBrush detects real-time movement of children and interacts with them by augmented reality, feedback and multimodal hints. We believe that CheerBrush has the potential to provide a low-cost, engaging and, beneficial intelligent support system to improve the toothbrushing skills of children with ASD.

CLEAR Autism Diagnostic Evaluation (CADE): Evaluation of Reliability and Validity

Recent surveillance efforts indicate that 1 in 54 American children meet the criteria for Autism Spectrum Disorder (ASD), making it the fastest growing neurodevelopmental disorder in the U.S. Despite evidence that ASD can be reliably diagnosed as early as 24 months, the median age at ASD diagnosis in 2016 in the U.S. was 51 months. The CLEAR Autism Diagnostic Evaluation (CADE; Willard & Kroncke, 2019), was developed in response to the need to improve, shorten, and standardize the clinical ASD evaluation process. The CADE is a 33-item rating scale designed to be completed by caregivers and clinicians. The current study was conducted to examine the reliability and validity of the CADE using a sample of 191 individuals who received a private evaluation for ASD. Using the client's evaluation records, clinicians completed the CADE items. The coefficient alpha was .94, which indicates that the items form a scale that has high internal consistency. The CADE total scores were highly correlated with ADOS scores, with r values ranging from .52-.86, and discriminated between those participants with a diagnosis of ASD and those without (p < .001). Receiver operator characteristic (ROC) curve analyses indicated excellent diagnostic accuracy of the CADE total score (ROC area under the curve = .998). Results suggest that the CADE can be used as an efficient and accurate means of evaluating ASD. Limitations and implications for use of the CADE are discussed.

Psychometric Comparison of the English and Spanish Western-Hemisphere Versions of the Modified Checklist for Autism in Toddlers-Revised

OBJECTIVES

Parent-report screening tools for autism spectrum disorder (ASD) are widely used to promote early identification of children with or at risk for ASD. Most screening tools have been developed in English in the United States or United Kingdom; thus, translated versions are needed for use with culturally and linguistically diverse populations. Traditional translation methods include a forward translation, back translation, and review. However, when used in new cultural and linguistic contexts, this "forward-back" approach may have limitations, including differing psychometric properties compared with original instruments. This study presents a psychometric analysis of the forward-back translation methodology of an ASD screening tool.

METHODS

A retrospective chart review design was used to examine Modified Checklist for Autism in Toddlers-Revised (M-CHAT-R; Robins et al.) records from 2974 toddlers. Data were compared between caregivers who completed the original English M-CHAT-R and caregivers who completed its forward-back "Spanish-Western Hemisphere" translation to compare select psychometric properties of the 2 instruments.

RESULTS

Significant differences were observed between the 2 versions, including a higher overall risk score, higher initial screen-positive rate, and increased likelihood of leaving items blank among Spanish-speaking respondents.

CONCLUSION

Traditional translation methods seemed to affect select psychometric properties between translations of the M-CHAT-R. A more rigorous cultural adaptation approach may be necessary to maintain equivalence with the original instrument. Until new rigorous translations are available, it is recommended that language-specific screening tools continue to be used, along with recommended follow-up interviews, to avoid exacerbating existing health disparities.

Sensitivity and specificity of DSM-5 diagnostic criteria for autism spectrum disorder in a child and adolescent sample

BACKGROUND

Controversy exists regarding the DSM-5 criteria for autism spectrum disorders (ASD). Given the mixed results that have been reported, our main aim was to determine DSM-5 sensitivity and specificity in a child and adolescent Spanish sample. As secondary goals, we assessed the diagnostic stability of DSM-IV-TR in DSM-5, and clinical differences between children diagnosed with an ASD or a social (pragmatic) communication disorder (SPCD).

METHODS

This study was carried out in 2017, reviewing the medical records of patients evaluated in our service. Items from a parent report measure of ASD symptoms (Autism Diagnostic Interview-Revised) were matched to DSM-5 criteria and used to assess the sensitivity and specificity of the DSM-5 criteria and current DSM-IV criteria when compared with clinical diagnoses.

RESULTS

DSM-5 sensitivity ranged from .69 to 1.00, and was higher in females. By age, the DSM-5 and DSM-IV-TR criteria showed similar sensitivity. In the case of intellectual quotient, DSM-5 criteria sensitivity was lower for those in the "low-functioning" category. DSM-5 specificity ranged from .64 to .73, while DSM-5 specificity was similar for all phenotypic subgroups. With respect to stability, 83.3% of autism disorder cases retained a diagnosis of ASD using the DSM-5 criteria. With regard to differences between ASD and SPCD, we found that patients diagnosed with ASD received more pharmacological treatment than those diagnosed with SPCD.

CONCLUSIONS

Further research is required to confirm our results. Studies focusing on the SPCD phenotype will be necessary to determine outcome differences with ASD and the most effective diagnostic and therapeutic tools.

Family Impact During the Time Between Autism Screening and Definitive Diagnosis

Over the past 10 years, identification of Autism Spectrum Disorder (ASD) risk has dramatically increased due to the wide-spread implementation of screening programs; yet, there is limited understanding about parent perceptions and experiences during the time period when risk is identified, but prior to receiving a formal diagnosis-a period that can last months to years given the long wait-lists for formal ASD evaluations. The current study aimed to examine parent perceptions of family impact (i.e., the impact their child's behaviors have on the family) between the time of risk-identification and formal diagnosis among 277 children identified as at-risk for ASD through screening positive in primary care. We aimed to compare family impact among those whose child met diagnostic criteria for ASD and those who did not. Parents of children who received a non-ASD diagnosis reported a higher baseline level of family impact (F[1, 274] = 5.82, p = .017); however, perceived difficult child behavior was a stronger predictor of family impact (t[6] = 13.11, p < .001) than later diagnostic group (t[6] = - 2.10, p = .037), and child functioning did not predict family impact (t[6] = -0.31, p = .76). These results suggest that in this population, perceived difficult child behavior is a stronger predictor of family impact than later diagnostic category and should be considered an important factor in family support.

Quantification of perfusion and metabolism in an autism mouse model assessed by diffuse correlation spectroscopy and near-infrared spectroscopy

There is a need for quantitative biomarkers for early diagnosis of autism. Cerebral blood flow and oxidative metabolism parameters may show superior contrasts for improved characterization. Diffuse correlation spectroscopy (DCS) has been shown to be reliable method to obtain cerebral blood flow contrast in animals and humans. Thus, in this study, we evaluated the combination of DCS and fNIRS in an established autism mouse model. Our results indicate that autistic group had significantly (P = .001) lower (~40%) blood flow (1.16 ± 0.26) × 10^-8  cm² /s), and significantly (P = .015) lower (~70%) oxidative metabolism (52.4 ± 16.6 μmol/100 g/min) compared to control group ([1.93 ± 0.74] × 10^-8  cm² /s, 177.2 ± 45.8 μmol/100 g/min, respectively). These results suggest that the combination of DCS and fNIRS can provide hemodynamic and metabolic contrasts for in vivo assessment of autism pathological conditions noninvasively.

Assessing Arousal Through Multimodal Biosignals: A Preliminary Approach

The increase in Autism Spectrum Disorder (ASD) prevalence estimates over the last decades has driven a quest to develop new forms of rehabilitation that can be accessible to a larger part of this population. These rehabilitation approaches often take the form of computer games that are blind to the user's emotional state, which compromises their efficacy. In this study, a set of physiological signals were acquired in simultaneous with functional Magnetic Resonance Imaging (fMRI) with the future prospect of combining both kinds of data to create models capable of assessing the true emotional state of their users based on physiological response as a measure of autonomic nervous system, having as ground truth the activity of targeted brain regions. This paper describes an initial approach, focusing on the information contained on the physiological signals alone. A total of 35 features were extracted from biosignals' segments and subsequently used for automatic classification of arousal state (High Arousal vs. Low Arousal). The suboptimal results, although some extracted features present statistically significant differences, underline the challenging nature of our proposal and the added obstacles of recording physiological signals in the magnetic resonance environment. Further exploration of the measured signals is needed to gather a bigger number of discriminative features that can improve classification outcomes.

Prevalence of Decreased Sound Tolerance (Hyperacusis) in Individuals With Autism Spectrum Disorder: A Meta-Analysis

OBJECTIVES

Hyperacusis, defined as decreased tolerance to sound at levels that would not trouble most individuals, is frequently observed in individuals with autism spectrum disorder (ASD). Despite the functional impairment attributable to hyperacusis, little is known about its prevalence or natural history in the ASD population. The objective of this study was to conduct a systematic review and meta-analysis estimating the current and lifetime prevalence of hyperacusis in children, adolescents, and adults with ASD. By precisely estimating the burden of hyperacusis in the ASD population, the present study aims to enhance recognition of this particular symptom of ASD and highlight the need for additional research into the causes, prevention, and treatment of hyperacusis in persons on the spectrum.

DESIGN

We searched PubMed and ProQuest to identify peer-reviewed articles published in English after January 1993. We additionally performed targeted searches of Google Scholar and the gray literature, including studies published through May 2020. Eligible studies included at least 20 individuals with diagnosed ASD of any age and reported data from which the proportion of ASD individuals with current and/or lifetime hyperacusis could be derived. To account for multiple prevalence estimates derived from the same samples, we utilized three-level Bayesian random-effects meta-analyses to estimate the current and lifetime prevalence of hyperacusis. Bayesian meta-regression was used to assess potential moderators of current hyperacusis prevalence. To reduce heterogeneity due to varying definitions of hyperacusis, we performed a sensitivity analysis on the subset of studies that ascertained hyperacusis status using the Autism Diagnostic Interview-Revised (ADI-R), a structured parent interview.

RESULTS

A total of 7783 nonduplicate articles were screened, of which 67 were included in the review and synthesis. Hyperacusis status was ascertained in multiple ways across studies, with 60 articles employing interviews or questionnaires and seven using behavioral observations or objective measures. The mean (range) age of samples in the included studies was 7.88 years (1.00 to 34.89 years). The meta-analysis of interview/questionnaire measures (k(3) = 103, nASD = 13,093) estimated the current and lifetime prevalence of hyperacusis in ASD to be 41.42% (95% CrI, 37.23 to 45.84%) and 60.58% (50.37 to 69.76%), respectively. A sensitivity analysis restricted to prevalence estimates derived from the ADI-R (k(3) = 25, nASD = 5028) produced similar values. The estimate of current hyperacusis prevalence using objective/observational measures (k(3) = 8, nASD = 488) was 27.30% (14.92 to 46.31%). Heterogeneity in the full sample of interview/questionnaire measures was substantial but not significantly explained by any tested moderator. However, prevalence increased sharply with increasing age in studies using the ADI-R (BF10 = 93.10, R2Het = 0.692).

CONCLUSIONS

In this meta-analysis, we found a high prevalence of current and lifetime hyperacusis in individuals with ASD, with a majority of individuals on the autism spectrum experiencing hyperacusis at some point in their lives. The high prevalence of hyperacusis in individuals with ASD across the lifespan highlights the need for further research on sound tolerance in this population and the development of services and/or interventions to reduce the burden of this common symptom.

Reduced false positives in autism screening via digital biomarkers inferred from deep comorbidity patterns

Here, we develop digital biomarkers for autism spectrum disorder (ASD), computed from patterns of past medical encounters, identifying children at high risk with an area under the receiver operating characteristic exceeding 80% from shortly after 2 years of age for either sex, and across two independent patient databases. We leverage uncharted ASD comorbidities, with no requirement of additional blood work, or procedures, to estimate the autism comorbid risk score (ACoR), during the earliest years when interventions are the most effective. ACoR has superior predictive performance to common questionnaire-based screenings and can reduce their current socioeconomic, ethnic, and demographic biases. In addition, we can condition on current screening scores to either halve the state-of-the-art false-positive rate or boost sensitivity to over 60%, while maintaining specificity above 95%. Thus, ACoR can significantly reduce the median diagnostic age, reducing diagnostic delays and accelerating access to evidence-based interventions.

Effect of Brief Training to Identify Autism Spectrum Disorder During Toddler Well-Child Care Visits

OBJECTIVE

To examine the effect of a brief Enhanced training using the information-motivation-behavior (IMB) change model on improving providers' surveillance rates and accuracy of autism spectrum disorder (ASD) detection.

METHOD

Toddlers (n = 5,672) were screened for ASD during their pediatric well-child visits. Pediatric providers (n = 120) were randomized to receive Enhanced (incorporating components of the IMB model) or Control training. Providers indicated whether they had an ASD concern at each well-child visit. Toddlers who were positive on any screener and/or whose provider indicated ASD concern were invited for a diagnostic evaluation. Differences in provider-indicated ASD concerns before and after training were evaluated using log-linear analyses.

RESULTS

The Enhanced training did not have a significant effect on provider-endorsed ASD concerns (p = 0.615) or accuracy of endorsing concerns (p = 0.619). Providers in the Control training showed a significant reduction in indicating whether or not they had concerns after the training (from 71.9% to 64.3%), which did not occur in the Enhanced group. The Enhanced training led to more frequent endorsements of language (χ2 = 8.772, p = 0.003) and restricted and repetitive behavior (χ2 = 7.918, p = 0.005) concerns for children seen after training.

CONCLUSION

Provider training had limited impact on ASD surveillance, indicating the importance of using formal screening instruments that rely on parent report during well-child visits to complement developmental surveillance. Future research should examine whether providers who indicate specific concerns are more likely to accurately refer children for ASD evaluations.

Developmental disabilities across the world: A scientometric review from 1936 to 2020

BACKGROUND

Developmental disabilities have been largely studied in the past years. Their etiological mechanisms have been underpinned to the interactions between genetic and environmental factors. These factors show variability across the world. Thus, it is important to understand where the set of knowledge obtained on developmental disabilities originates from and whether it is generalizable to low- and middle-income countries.

AIMS

This study aims to understand the origins of the available literature on developmental disabilities, keeping a focus on parenting, and identify the main trend of research.

METHODS AND PROCEDURE

A sample of 11,315 publications from 1936 to 2020 were collected from Scopus and a graphical country analysis was conducted. Furthermore, a qualitative approach enabled the clustering of references by keywords into four main areas: "Expression of the disorder", "Physiological Factors", "How it is studied" and "Environmental factors". For each area, a document co-citation analysis (DCA) on CiteSpace software was performed.

OUTCOMES AND RESULTS

Results highlight the leading role of North America in the study of developmental disabilities. Trends in the literature and the documents' scientific relevance are discussed in details.

CONCLUSIONS AND IMPLICATIONS

Results demand for investigation in different socio-economical settings to generalize our knowledge. What this paper adds? The current paper tries to provide insight into the origins of the literature on developmental disabilities with a focus on parenting, together with an analysis of the trends of research in the field. The paper consisted of a multi-disciplinary and multi-method review. In fact, the review tried to integrate the analysis of the relation between developmental disabilities with a closer look at the scientific contributions to the field across the world. Specifically, the paper integrates a total of 11,315 papers published on almost a century of research (from 1936 to 2020). An initial qualitative analysis on keywords was combined to a subsequent quantitative approach in order to maximize the comprehension of the impact of almost a century of scientific contributions. Specifically, documents were studied with temporal and structural metrics on a scientometric approach. This allowed the exploration of patterns within the literature available on Scopus in a quantitative way. This method not only assessed the importance of single documents within the network. As a matter of fact, the document co-citation analysis used on CiteSpace software provided insight into the relations existing between multiple documents in the field of research. As a result, the leading role of North America in the literature of developmental disabilities and parenting emerged. This was accompanied by the review of the main trends of research within the existing literature.

Enhance the Language Ability of Humanoid Robot NAO through Deep Learning to Interact with Autistic Children

Autism spectrum disorder (ASD) is a life-long neurological disability, and a cure has not yet been found. ASD begins early in childhood and lasts throughout a person’s life. Through early intervention, many actions can be taken to improve the quality of life of children. Robots are one of the best choices for accompanying children with autism. However, for most robots, the dialogue system uses traditional techniques to produce responses. Robots cannot produce meaningful answers when the conversations have not been recorded in a database. The main contribution of our work is the incorporation of a conversation model into an actual robot system for supporting children with autism. We present the use a neural network model as the generative conversational agent, which aimed at generating meaningful and coherent dialogue responses given the dialogue history. The proposed model shares an embedding layer between the encoding and decoding processes through adoption. The model is different from the canonical Seq2Seq model in which the encoder output is used only to set-up the initial state of the decoder to avoid favoring short and unconditional responses with high prior probability. In order to improve the sensitivity to context, we changed the input method of the model to better adapt to the utterances of children with autism. We adopted transfer learning to make the proposed model learn the characteristics of dialogue with autistic children and to solve the problem of the insufficient corpus of dialogue. Experiments showed that the proposed method was superior to the canonical Seq2sSeq model and the GAN-based dialogue model in both automatic evaluation indicators and human evaluation, including pushing the BLEU precision to 0.23, the greedy matching score to 0.69, the embedding average score to 0.82, the vector extrema score to 0.55, the skip-thought score to 0.65, the KL divergence score to 5.73, and the EMD score to 12.21.

Human iPSC-Derived Glia as a Tool for Neuropsychiatric Research and Drug Development

Neuropsychiatric disorders such as schizophrenia or autism spectrum disorder represent a leading and growing burden on worldwide mental health. Fundamental lack in understanding the underlying pathobiology compromises efficient drug development despite the immense medical need. So far, antipsychotic drugs reduce symptom severity and enhance quality of life, but there is no cure available. On the molecular level, schizophrenia and autism spectrum disorders correlate with compromised neuronal phenotypes. There is increasing evidence that aberrant neuroinflammatory responses of glial cells account for synaptic pathologies through deregulated communication and reciprocal modulation. Consequently, microglia and astrocytes emerge as central targets for anti-inflammatory treatment to preserve organization and homeostasis of the central nervous system. Studying the impact of neuroinflammation in the context of neuropsychiatric disorders is, however, limited by the lack of relevant human cellular test systems that are able to represent the dynamic cellular processes and molecular changes observed in human tissue. Today, patient-derived induced pluripotent stem cells offer the opportunity to study neuroinflammatory mechanisms in vitro that comprise the genetic background of affected patients. In this review, we summarize the major findings of iPSC-based microglia and astrocyte research in the context of neuropsychiatric diseases and highlight the benefit of 2D and 3D co-culture models for the generation of efficient in vitro models for target screening and drug development.

The prevalence and profile of autism in individuals born preterm: a systematic review and meta-analysis

INTRODUCTION

Preterm birth (<37 weeks) adversely affects development in behavioural, cognitive and mental health domains. Heightened rates of autism are identified in preterm populations, indicating that prematurity may confer an increased likelihood of adverse neurodevelopmental outcomes. The present meta-analysis aims to synthesise existing literature and calculate pooled prevalence estimates for rates of autism characteristics in preterm populations.

METHODS

Search terms were generated from inspection of relevant high-impact papers and a recent meta-analysis. Five databases were searched from database creation until December 2020 with PRISMA guidelines followed throughout.

RESULTS

10,900 papers were retrieved, with 52 papers included in the final analyses, further classified by assessment method (screening tools N=30, diagnostic assessment N=29). Pooled prevalence estimates for autism in preterm samples was 20% when using screening tools and 6% when using diagnostic assessments. The odds of an autism diagnosis were 3.3 times higher in individuals born preterm than in the general population.

CONCLUSIONS

The pooled prevalence estimate of autism characteristics in individuals born preterm is considerably higher than in the general population. Findings highlight the clinical need to provide further monitoring and support for individuals born preterm.

Hippocampal contributions to social and cognitive deficits in autism spectrum disorder

Autism spectrum disorder (ASD) is characterized by hallmark impairments in social functioning. Nevertheless, nonsocial cognition, including hippocampus-dependent spatial reasoning and episodic memory, is also commonly impaired in ASD. ASD symptoms typically emerge between 12 and 24 months of age, a time window associated with critical developmental events in the hippocampus. Despite this temporal overlap and evidence of hippocampal structural abnormalities in ASD individuals, relatively few human studies have focused on hippocampal function in ASD. Herein, we review the existing evidence for the involvement of the hippocampus in ASD and highlight the hippocampus as a promising area of interest for future research in ASD.

Assessment of the knowledge and awareness of pediatric residents and pediatricians about autism spectrum disorder at a single center in Turkey

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder and pediatricians play a critical role in early diagnosis. This study was conducted to evaluate the knowledge, beliefs, and experiences of pediatric residents and pediatricians about ASD. A 35-item questionnaire consisting of two sections was administered. The diagnostic features section consisted of questions measuring the level of knowledge about diagnostic criteria of ASD. The general knowledge and beliefs section consisted of questions about beliefs and experiences regarding ASD. The study consisted of 101 participants. Mean score obtained by all participants from the diagnostic features section was 5.78 ± 1.65. The mean scores obtained by residents and pediatricians from the diagnostic features section were 5.35 ± 1.5 and 6.31 ± 1.68. Pediatricians obtained higher scores significantly than residents from diagnostic features section (t = -2.99, p = 0.004). The mean scores obtained by residents and pediatricians from section of general knowledge and beliefs were 13.69 ± 3 and 14.48 ± 3.15. This difference was not significant (t = -1.27, p = 0.225). This study suggests that participants' knowledge and awareness about ASD was insufficient and while pediatricians knew more about the diagnostic criteria, their awareness and approach regarding ASD were no different from pediatric residents in general practice.

Body mass index increase in preschoolers with heterogeneous psychiatric diagnoses treated with risperidone

OBJECTIVE

Use of risperidone in preschool-aged children is growing, with rising concerns of adverse metabolic consequences. Longitudinal data on risperidone-related weight gain in preschoolers are scarce. We aimed to evaluate changes in body mass index (BMI) that are associated with risperidone treatment in preschoolers.

METHOD

We analyzed naturalistic, longitudinal data on 141 preschool children (112 boys, 29 girls) receiving psychiatric care. Mean patient age at baseline was 5.0 years (SD=0.8) and average follow-up period was 1.3 years (SD=0.8), with >8 mean BMI measurements per patient. We studied the effect of risperidone exposure (n=78) on age-and-sex-standardized BMI (BMI Z-score) implementing mixed models with random subject intercepts to account for repeated measures, covarying for multiple confounders including demographics, stimulant treatment and psychiatric diagnoses. We employed similar models to study dose and duration effects.

RESULTS

Risperidone treatment was significantly associated with an increase in BMI (effect size of exposure=0.45 SD (SE=0.06), t (949)=7.7, p<0.001) covarying for stimulant exposure and other confounders, independent of treatment indication. Females exhibited stronger effects (risperidone treatment × sex interaction t=2.32, p=0.02)). Risperidone daily dose was associated with increase in BMI (for each additional 1 mg, effect size=0.28 SD (SE=0.07), t(419)=3.76, p<0.001).

CONCLUSION

Similar to older populations, risperidone treatment in preschoolers is associated with significant weight gain, with evidence for dose effects. Findings provide critical data that can inform clinicians.

Development of a Mobile App to Improve Numeracy Skills of Children With Autism Spectrum Disorder: Participatory Design and Usability Study

BACKGROUND

The use of information and communication technologies is transforming the lives of millions of people including children with autism spectrum disorder (ASD). However, the process of developing a user-friendly and effective mobile app needs to follow a complex standard protocol and culture-sensitive customization, and involves multiple sectors. This complex work becomes even more challenging when considering children with ASD in low- and middle-income countries as the users.

OBJECTIVE

This study aimed to design and develop a more intuitive mobile app to improve numeracy skills of children with ASD in Rwanda and evaluate the usability of the app.

METHODS

A participatory design approach was utilized in this study in which 40 children with ASD, 5 teachers, and 10 parents of children with ASD participated in focus group discussions (FGDs) and usability testing. A narrative literature review was performed to explore existing mobile apps and compare previous studies to design the questions for FGD and facilitate a framework for designing the app. The agile methodology was used to develop the mobile app, and the heuristics evaluation method was used to test and evaluate the usability of the initial version of the app to improve its functionalities. The interviews were recorded, transcribed, and analyzed following the guidelines of the qualitative narrative analysis (QNA) method.

RESULTS

During the FGDs the respondents shared their need for a mobile app in teaching and learning numeracy for children with ASD and pointed to possibilities of integrating the mobile app into existing curriculum. Ten themes emerged from the FGDs and exercise of developing the mobile app. The themes were related to (1) teaching and learning numeracy for children with ASD, (2) planning and development of a mobile app for a person with ASD, (3) testing a mobile app, (4) strength of the developed app against the existing ones, (5) behavioral maintenance and relapse prevention, (6) possibilities to integrate the mobile app into the existing curriculum, (7) data protection for users, (8) social implications, (9) challenges in Rwanda, and (10) focus on future.

CONCLUSIONS

The community plays an important role in the planning, development, and evaluation of a mobile app for children with ASD. In this study, inputs from teachers and parents resulted in an optimally designed mobile app that can improve numeracy skills in children diagnosed with ASD to support the implementation of competency-based curriculum in Rwanda.

Ways to Address Perinatal Mast Cell Activation and Focal Brain Inflammation, including Response to SARS-CoV-2, in Autism Spectrum Disorder

The prevalence of autism spectrum disorder (ASD) continues to increase, but no distinct pathogenesis or effective treatment are known yet. The presence of many comorbidities further complicates matters, making a personalized approach necessary. An increasing number of reports indicate that inflammation of the brain leads to neurodegenerative changes, especially during perinatal life, "short-circuiting the electrical system" in the amygdala that is essential for our ability to feel emotions, but also regulates fear. Inflammation of the brain can result from the stimulation of mast cells-found in all tissues including the brain-by neuropeptides, stress, toxins, and viruses such as SARS-CoV-2, leading to the activation of microglia. These resident brain defenders then release even more inflammatory molecules and stop "pruning" nerve connections, disrupting neuronal connectivity, lowering the fear threshold, and derailing the expression of emotions, as seen in ASD. Many epidemiological studies have reported a strong association between ASD and atopic dermatitis (eczema), asthma, and food allergies/intolerance, all of which involve activated mast cells. Mast cells can be triggered by allergens, neuropeptides, stress, and toxins, leading to disruption of the blood-brain barrier (BBB) and activation of microglia. Moreover, many epidemiological studies have reported a strong association between stress and atopic dermatitis (eczema) during gestation, which involves activated mast cells. Both mast cells and microglia can also be activated by SARS-CoV-2 in affected mothers during pregnancy. We showed increased expression of the proinflammatory cytokine IL-18 and its receptor, but decreased expression of the anti-inflammatory cytokine IL-38 and its receptor IL-36R, only in the amygdala of deceased children with ASD. We further showed that the natural flavonoid luteolin is a potent inhibitor of the activation of both mast cells and microglia, but also blocks SARS-CoV-2 binding to its receptor angiotensin-converting enzyme 2 (ACE2). A treatment approach should be tailored to each individual patient and should address hyperactivity/stress, allergies, or food intolerance, with the introduction of natural molecules or drugs to inhibit mast cells and microglia, such as liposomal luteolin.

Autistic spectrum traits detection and early screening: A machine learning based eye movement study

PROBLEM

Autism spectrum disorders (ASD) are pervasive neurodevelopmental disorders and generally accompanied by social disorders, verbal or nonverbal communication defects, inability to concentrate and other negative symptoms that affect the autistic person's normal life. However, traditional screening methods are time-consuming and public health resources are limited.

METHODS

This study proposed a novel technique that combined eye-movement data and machine learning algorithms for predicting autistic traits. We converted raw eye movement data into features, trained and tested a model for early screening.

FINDINGS

In the preliminary experiment, 107 participants (average age = 24.84 ± 5.24 years) wore HTC Vive to watch a VR scene for 15-20 s. We explored eight classification models, among which the ensemble model performed best, with 0.73 accuracy, 0.68 precision, 0.81 recall, 0.74 F1-score, and an area under the curve of 0.90. And in the test experiment, 22 participants (average age = 12.68 ± 7.61 years) diagnosed as ASD took the experiment and the ensemble model showed a recall of 0.77. Eye movement data is an effectively distinguishable tool and we find that the proportion of time to observe figure and animal region continuously can distinguish participants with obvious and unobvious autistic traits effectively in the model.

CONCLUSION

This study focuses on the detection of autistic traits, and proposes a more objective and faster method for undertaking early screening, which provides possibilities to save precious time to intervene and alleviate its symptoms before making a definite diagnosis.

Hearing Loss in Neurological Disorders

Sensorineural hearing loss (SNHL) affects approximately 466 million people worldwide, which is projected to reach 900 million by 2050. Its histological characteristics are lesions in cochlear hair cells, supporting cells, and auditory nerve endings. Neurological disorders cover a wide range of diseases affecting the nervous system, including Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD), autism spectrum disorder (ASD), etc. Many studies have revealed that neurological disorders manifest with hearing loss, in addition to typical nervous symptoms. The prevalence, manifestations, and neuropathological mechanisms underlying vary among different diseases. In this review, we discuss the relevant literature, from clinical trials to research mice models, to provide an overview of auditory dysfunctions in the most common neurological disorders, particularly those associated with hearing loss, and to explain their underlying pathological and molecular mechanisms.

Assessing the Healthy People 2020 Objective to Expand Early Treatment Receipt Among a National Sample of Children with Autism Spectrum Disorder

OBJECTIVE

To assess the progress of the Healthy People 2020 (HP2020) objective to increase the proportion of children with autism spectrum disorder (ASD) who receive treatment by 48 months old and to examine the relationship between predisposing, enabling, and need factors and age of initial treatment receipt.

METHOD

We used data from the National Survey of Children's Health, 2016 to 2017, a nationally representative study of US children. Our sample included children aged 3 to 17 years old with ASD who received treatment (N = 1333). We conducted χ goodness of fit tests and logistic regression.

RESULTS

The HP2020 objective to enroll 57.6% of 8-year-old children with ASD in treatment by 48 months old was not met (40.9%). Among 3- to 5-year-old children with ASD, the proportion who received treatment by 48 months old was more than double that of 8-year-old children (88.3%). We detected social inequities and significant differences by provider type and state mandate.

CONCLUSION

Research with larger samples is needed to continue tracking progress. If the goal continues not to be met, work will be required to explain stagnation and to inform additional targeted efforts to reduce the age of initial treatment.

Children with perinatal stroke are at increased risk for autism spectrum disorder: Prevalence and co-occurring conditions within a clinically followed sample

OBJECTIVE

Children with perinatal stroke are at increased risk for developmental language disorders, learning difficulties, and other mental health conditions. However to date, autism (ASD) prevalence in this group has not been reported. Given that early identification of ASD is essential to promoting optimal outcomes, our goal was to establish prevalence of ASD in children with perinatal stroke.

METHOD

A prospectively enrolled, single-center stroke registry maintained at our institution since 2005 was queried for all potentially eligible patients with a history of perinatal stroke. Information regarding stroke features, ASD diagnosis/concern, intellectual disability/global developmental delay, cerebral palsy/hemiparesis, epilepsy, and language disorder were collected via retrospective chart review from electronic health records.

RESULTS

311 children were identified, of which 201 complete records were analyzed. Twenty-three cases were formally diagnosed with ASD (11.4%). First concerns were noted in toddlerhood (Mage = 2.66 years), yet the average age of diagnosis was 6.26 years. Children with ASD were more likely to have earlier diagnoses of intellectual disability/global developmental delay or a mixed receptive-expressive language disorder (ps < .001) but did not differ on CP/hemiplegia or epilepsy diagnoses. Risk for ASD increased with accumulating diagnoses.

DISCUSSION

Children with perinatal stroke have an increased prevalence of ASD (11.4%) than in the general population. ASD concerns arise at a similar age as the general population, yet ASD is diagnosed almost two years later than the general population and 3.60 years after first concerns present. Co-occurring neurological conditions are common. Clinicians must be aware of increased prevalence and implement screening as part of routine care for all pediatric patients with perinatal stroke.

Cochlear SGN neurons elevate pain thresholds in response to music

The C-tactile (CLTM) peripheral nervous system is involved in social bonding in primates and humans through its capacity to trigger the brain’s endorphin system. Since the mammalian cochlea has an unusually high density of similar neurons (type-II spiral ganglion neurons, SGNs), we hypothesise that their function may have been exploited for social bonding by co-opting head movements in response to music and other rhythmic movements of the head in social contexts. Music provides one of many cultural behavioural mechanisms for ‘virtual grooming’ in that it is used to trigger the endorphin system with many people simultaneously so as to bond both dyadic relationships and large groups. Changes in pain threshold across an activity are a convenient proxy assay for endorphin uptake in the brain, and we use this, in two experiments, to show that pain thresholds are higher when nodding the head than when sitting still.

What Happens at a Dental Surgery When the Patient is a Child with Autism Spectrum Disorder? An Italian Study

Oral health care can be a difficult experience for a child with Autism Spectrum Disorder (ASD), for their family and for the dentist. The purpose of this study is to provide an understanding of the challenges experienced by the three aforementioned figures during oral care treatment. A cohort of 275 parents of typical development children (TD), 57 parents of children with ASD (3–15 years old) and by 61 dentists, completed two different multiple choices questionnaires. The data obtained show a great difficulty in the treatment of children with ASD as seen by the dentists and by the parents. This is due to: caregivers’ demographic issues; difficulties encountered before and during the dental examination; scarce presence of experts in ASD treatment.

Metal and essential element concentrations during pregnancy and associations with autism spectrum disorder and attention-deficit/hyperactivity disorder in children

BACKGROUND

Prenatal exposure to toxic metals or variations in maternal levels of essential elements during pregnancy may be a risk factor for neurodevelopmental disorders such as attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) in offspring.

OBJECTIVES

We investigated whether maternal levels of toxic metals and essential elements measured in mid-pregnancy, individually and as mixtures, were associated with childhood diagnosis of ADHD or ASD.

METHODS

This study is based on the Norwegian Mother, Father and Child Cohort Study and included 705 ADHD cases, 397 ASD cases and 1034 controls. Cases were identified through linkage with the Norwegian Patient Registry. Maternal concentrations of 11 metals/elements were measured in blood at week 17 of gestation; cadmium; cesium; cobalt; copper; lead; magnesium; manganese; selenium; zinc; total arsenic; and total mercury. Multivariable adjusted logistic regression models were used to examine associations between quartile levels of individual metals/elements and outcomes. We also investigated non-linear associations using restricted cubic spline models. The joint effects of the metal/element mixture on ASD and ADHD diagnoses were estimated using a quantile-based g-computation approach.

RESULTS

For ASD, we identified positive associations (increased risks) in the second quartile of arsenic [OR = 1.77 (CI: 1.26, 2.49)] and the fourth quartiles of cadmium and manganese [OR = 1.57 (CI: 1.07 2.31); OR = 1.84 (CI: 1.30, 2.59)], respectively. In addition, there were negative associations between cesium, copper, mercury, and zinc and ASD. For ADHD, we found increased risk in the fourth quartiles of cadmium and magnesium [OR = 1.59 (CI: 1.15, 2.18); [OR = 1.42 (CI: 1.06, 1.91)]. There were also some negative associations, among others with mercury. In addition, we identified non-linear associations between ASD and arsenic, mercury, magnesium, and lead, and between ADHD and arsenic, copper, manganese, and mercury. There were no significant findings in the mixture approach analyses.

CONCLUSION

Results from the present study show several associations between levels of metals and elements during gestation and ASD and ADHD in children. The most notable ones involved arsenic, cadmium, copper, mercury, manganese, magnesium, and lead. Our results suggest that even population levels of these compounds may have negative impacts on neurodevelopment. As we observed mainly similarities among the metals' and elements' impact on ASD and ADHD, it could be that the two disorders share some neurochemical and neurodevelopmental pathways. The results warrant further investigation and replication, as well as studies of combined effects of metals/elements and mechanistic underpinnings.

Practical applications of brief screening questionnaires for autism spectrum disorder in a psychiatry outpatient setting

OBJECTIVES

This study was designed to examine the diagnostic performance of the social and communication disorders checklist (SCDC) and strength and difficulties questionnaire (SDQ) to detect autism spectrum conditions (ASC), along with the social responsiveness scale-second edition (SRS-2) as reference, in a psychiatry outpatient setting.

METHODS

We translated the SCDC into Japanese since its Japanese version was unavailable. We examined its test-retest reliability as well as the internal consistency reliability and diagnostic performance of the three questionnaires among 41 Japanese psychiatric outpatients, using the best-estimate diagnosis of ASC based on the diagnostic interview for social and communication disorders, as a gold standard.

RESULTS

The test-retest reliability was high for the SCDC. Although the internal consistency reliability was high for the SCDC and SRS-2, that was low for the prosocial and peer problem subscales of the SDQ. The performance of the SCDC, SDQ, and SRS-2 to detect ASC was moderate: the area under the ROC curve of 0.78, 0.78, and 0.84, respectively.

CONCLUSIONS

Although questionnaires to detect ASC, including the three examined, generally have only moderate performance in this setting, these can be successfully applied to high-risk populations such as psychiatry outpatients, when multi-level rather than dichotomous likelihood ratios are used.

Shared Decision-Making During Initial Diagnostic and Treatment Planning Visits for Children with Autism Spectrum Disorder

OBJECTIVE

Although shared decision-making (SDM) can improve patient engagement, adherence, and outcomes, evidence on the use of SDM within the context of autism spectrum disorder (ASD) initial diagnosis and treatment planning remains limited. The goal of this study was to objectively assess the occurrence of SDM in these visits and to compare this assessment with parent and provider perceptions of SDM in the same encounter.

METHODS

After audio-recording and transcribing initial clinical visits between parents (n = 22) and developmental behavioral pediatricians (n = 6) discussing the diagnosis of ASD and treatment options, we used the OPTION5 Item scale to assess the occurrence of SDM. Afterward, parents and providers completed the OPTION5 Item, and parents also participated in a semistructured qualitative interview. Analysis consisted of descriptive statistics for OPTION5 Item scores and a modified grounded theory framework for interviews.

RESULTS

Low levels of SDM were observed, with 41% of visits having no elements of SDM. On average, visits scored 1.1 of a possible 20 points on the OPTION5 Item scale for SDM. By contrast, parents and providers indicated on the OPTION5 Item scale that providers made a "moderate" to "skilled" effort to engage parents in SDM. Qualitative interviews with parents were consistent with their OPTION5 Item ratings.

CONCLUSION

The level of SDM determined by parent and provider reports was higher than the level of SDM determined by objective observation using a standard validated rating method. The findings reinforce the need for further research into barriers and facilitators of SDM methods and outcomes within ASD.

Integrated Behavioral Health Role in Helping Pediatricians Find Long Term Mental Health Interventions with the Use of Assessments

This article explores the role of assessments in integrated behavioral health within a pediatric primary care setting, specifically exploring what valid and reliable standardized assessments may be used and for what concerns the assessment be of most use. The article also considers how assessments used by integrated behavioral health may inform the type of evidenced-based intervention that would be most appropriate and efficacious for the patient, as well as assist in determining if longer term or more formal mental health treatment may be required.

Evidence-based use of scalable biomarkers to increase diagnostic efficiency and decrease the lifetime costs of autism

Challenges associated with the current screening and diagnostic process for autism spectrum disorder (ASD) in the US cause a significant delay in the initiation of evidence-based interventions at an early age when treatments are most effective. The present study shows how implementing a second-order diagnostic measure to high risk cases initially flagged positive from screening tools can further inform clinical judgment and substantially improve early identification. We use two example measures for the purposes of this demonstration; a saliva test and eye-tracking technology, both scalable and easy-to-implement biomarkers recently introduced in ASD research. Results of the current cost-savings analysis indicate that lifetime societal cost savings in special education, medical and residential care are estimated to be nearly $580,000 per ASD child, with annual cost savings in education exceeding $13.3 billion, and annual cost savings in medical and residential care exceeding $23.8 billion (of these, nearly $11.2 billion are attributable to Medicaid). These savings total more than $37 billion/year in societal savings in the US. Initiating appropriate interventions faster and reducing the number of unnecessary diagnostic evaluations can decrease the lifetime costs of ASD to society. We demonstrate the value of implementing a scalable highly accurate diagnostic in terms of cost savings to the US. LAY SUMMARY: This paper demonstrates how biomarkers with high accuracy for detecting autism spectrum disorder (ASD) could be used to increase the efficiency of early diagnosis. Results also show that, if more children with ASD are identified early and referred for early intervention services, the system would realize substantial costs savings across the lifespan.

Autism and General Developmental Screening Practices Among Primary Care Providers

OBJECTIVE

Using standardized screening tools increases accuracy in early identification of autism. The American Academy of Pediatrics recommends systematic developmental screening at all 9-, 18-, and 24- or 30-month well-child visits (WCVs) and autism-specific screening at all 18- and 24-month WCVs. The study objectives were to examine the extent to which these guidelines have been adopted in practice among primary care providers (PCPs) and to identify potential provider-level factors associated with screening practices.

METHOD

Participants included 94 PCPs (79% pediatricians) from 13 states enrolled in a study of an autism training program. Self-report and chart-review data collected before training were examined. Screening practices were assessed through chart review of all 9-, 18-, and 24-month WCVs within a 30-day window.

RESULTS

Sixty-four percent of PCPs administered developmental screening tools at all 9-month WCVs, and 62% at all 18-month WCVs. Fifty-one percent administered autism screening tools at all 18-month WCVs, and 41% at all 24-month WCVs. Screening practices varied by provider type (pediatrician vs other PCP), self-efficacy in screening and identification, and previous autism training (autism screening only), but not by years of experience.

CONCLUSION

Overall, general developmental and autism-specific screenings are not being consistently administered across recommended WCVs in primary care practices. Provider self-efficacy in autism identification and screening and previous autism training were associated with increased autism screening. As such, these results suggest a need for increased training and dissemination of information on screening implementation for practicing PCPs.

Google Trend Analysis and Paradigm Shift of Online Education Platforms during the COVID-19 Pandemic

Objective: The largest pandemic in history, the COVID-19 pandemic, has been declared a doomsday globally. The second wave spreading worldwide has devastating consequences in every sector of life. Several measures to contain and curb its infection have forged significant challenges for the education community. With an estimated 1.6 billion learners, the closure of schools and other educational institutions has impacted more than 90% of students worldwide from the elementary to tertiary level. Methods: In a view to studying impacts on student's fraternity, this article aims at addressing alternative ways of educating-more specifically, online education-through the analysis of Google trends for the past year. The study analyzed the platforms of online teaching and learning systems that have been enabling remote learning, thereby limiting the impact on the education system. Thorough text analysis is performed on an existing dataset from Kaggle to retrieve insight on the clustering of words that are more often looked at during this pandemic to find the general patterns of their occurrence. Findings: The results show that the coronavirus patients are the most trending patterns in word search clustering, with the education system being at the control and preventive measures to bring equilibrium in the system of education. There has been significant growth in online platforms in the last year. Existing assets of educational establishments have effectively converted conventional education into new-age online education with the help of virtual classes and other key online tools in this continually fluctuating scholastic setting. The effective usage of teaching tools such as Microsoft Teams, Zoom, Google Meet, and WebEx are the most used online platforms for the conduction of classes, and whiteboard software tools and learning apps such as Vedantu, Udemy, Byju's, and Whitehat Junior have been big market players in the education system over the pandemic year, especially in India. Conclusions: The article helps to draw a holistic approach of ongoing online teaching-learning methods during the lockdown and also highlights changes that took place in the conventional education system amid the COVID pandemic to overcome the persisting disruption in academic activities and to ensure correct perception towards the online procedure as a normal course of action in the new educational system. To fill in the void of classroom learning and to minimize the virus spread over the last year, digital learning in various schools and colleges has been emphasized, leading to a significant increase in the usage of whiteboard software platforms.

The implementation of reciprocal imitation training in a Part C early intervention setting: A stepped-wedge pragmatic trial

Despite the development of several evidence-based Naturalistic Developmental Behavioral Interventions (NDBIs), very few have been adapted for use in community-based settings. This study examines the implementation of Reciprocal Imitation Training (RIT)-an NDBI-by community Early Intervention (EI; IDEA Part C) providers serving toddlers from birth to 3 years. Of the 87 EI providers enrolled from 9 agencies in 4 counties across Washington State, 66 were included in the current sample. A stepped-wedge design was used to randomly assign counties to the timing of RIT training workshops. Self-report measures of practice and self-efficacy regarding ASD care were collected at baseline (T1, T2) and 6-months and 12-months post-training (T3, T4). At T3 and T4, providers reported on RIT adoption and rated items about RIT feasibility and perceived RIT effectiveness; at T4, they also reported on child characteristics that led to RIT use and modifications. From pre-training to post-training, there were significant increases in providers' self-efficacy in providing services to children with ASD or suspected ASD. At T3 and T4, provider ratings indicated high levels of RIT adoption, feasibility, and perceived RIT effectiveness. At T4, providers indicated that they most commonly: (a) initiated RIT when there were social-communication or motor imitation delays, or an ASD diagnosis; and (b) made modifications to RIT by repeating elements, blending it with other therapies, and loosening its structure. While additional research is needed, RIT may help families get an early start on accessing specialized treatment within an established infrastructure available across the United States. LAY SUMMARY: Reciprocal imitation training (RIT) is an evidence-based treatment for ASD that might be a good fit for use by intervention providers in widely accessible community-based settings. After attending an educational workshop on RIT, providers reported feeling more comfortable providing services to families with ASD concerns, used RIT with over 400 families, and believed that RIT improved important social communication behaviors.

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

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

Connecting the Dots: a cluster-randomized clinical trial integrating standardized autism spectrum disorders screening, high-quality treatment, and long-term outcomes

BACKGROUND

Autism spectrum disorder (ASD) affects one in 54 children in the United States of America, and supporting people with ASD across the lifespan presents challenges that impact individuals, families, and communities and can be quite costly. The American Academy of Pediatrics has issued recommendations for routine ASD screening at 18 and 24 months, but some research suggests that few pediatricians perform high-fidelity, standardized screening universally. Furthermore, the United States Preventive Services Task Force (USPSTF) found insufficient evidence to recommend for or against universal ASD screening. The objective of this study is to test the hypothesis that children with ASD who have high fidelity; standardized screening will achieve superior outcomes at 5 years of age compared to children receiving usual care ASD detection strategies.

METHODS

This is a cluster-randomized, controlled clinical trial in 3 sites in the USA. Pediatric practices will be randomized to implement universal, standardized, high-fidelity toddler screening or usual care, with randomization stratified by the practice size. The study will enroll 3450 children, approximately half in each group. From this sample, we anticipate 100 children to be diagnosed with ASD. Children in both groups receiving an ASD diagnosis will be administered the Early Start Denver Model, an evidence-based early intervention addressing social, communication, and cognitive functioning. Treatment will last for 1 year, with up to 20 h per week of therapy for children with ASD.

RESULTS

Primary outcomes measured at baseline, following treatment, and at 4 and 5 years of age include ASD symptom severity (Brief Observation of Social Communication Change (BOSCC)) and cognitive functioning (Mullen Scales of Early Learning (MSEL) and Differential Abilities Scale-II (DAS-II)). Secondary outcomes in children include measures of adaptive functioning, ASD symptoms, and kindergarten readiness; secondary analyses will also examine stress and empowerment among parents. Several novel exploratory measures will be included as well. The study will utilize a modified intention-to-treat analysis.

CONCLUSIONS

This trial will evaluate the impact of universal, standardized, high-fidelity screening for ASD among children at 18 months of age, with a goal of providing evidence to support this strategy to detect ASD in toddlers in order to start treatment as young as possible and maximize outcomes.

ETHICS AND DISSEMINATION

This study was approved by the Institutional Review Board at Drexel University (IRB protocol: 1607004653). All findings will be provided by the principal investigator via email; data will be available through the NIMH Data Archive ( https://nda.nih.gov/ ).

TRIAL REGISTRATION

ClinicalTrials.gov NCT03333629 . Registered on November 7, 2017.

Family navigation to increase evaluation for autism spectrum disorder in toddlers: Screening and Linkage to Services for Autism pragmatic randomized trial

LAY ABSTRACT

Young children with autism spectrum disorder can benefit from early detection and intervention to moderate autism spectrum disorder's effect on their development. Routine screening with standardized instruments facilitates early identification. However, many screen-positive children do not receive referrals for evaluation, complete diagnostic evaluations, or engage in services. This is especially true for children of color and those from less educated or low-income families. The Screening and Linkage to Services for Autism trial evaluated the effect of family navigation on referral and evaluation for autism spectrum disorder in screen-positive toddlers. The trial was conducted in an urban, low-income population. It was designed to test "real-world" implementation of family navigation. We randomly assigned 275 children aged 16-30 months with an initial positive autism spectrum disorder screen to receive navigation if indicated or usual care. Navigation increased the number of at-risk toddlers who were evaluated for autism spectrum disorder. It also improved the quality of autism spectrum disorder screening in primary care clinics. However, many children failed to receive indicated referrals for evaluation. Navigation did not improve referral rates. Furthermore, nearly half of families who were potentially eligible for navigation could not be contacted. Other ways of structuring the navigation program may be necessary to improve families' access to and acceptance of navigation, especially in the setting of financial, cultural, and linguistic barriers. Our trial nevertheless showed that family navigation may be an important tool for reducing systemic inequalities in the early identification and treatment of young children with autism spectrum disorder.

Presymptomatic Detection and Intervention for Autism Spectrum Disorder

Universal screening for autism spectrum disorder (ASD) is recommended during pediatric primary care visits in the first 2 years of life. However, many children are missed by initial screening and not diagnosed with ASD until years later. Research efforts are underway to develop and evaluate new objective measures of risk for ASD that can be used in infancy, before symptoms emerge. Initial studies with these tests, particularly MRI-based screening for infants at high familial risk, have shown promise but have not yet been evaluated in clinical trials. We present the study design for a hypothetical clinical trial that would combine presymptomatic detection and intervention for ASD and consider, through commentaries from diverse perspectives, the ethical issues that should be anticipated in advance of beginning such trials. Commentators Drs Pruett and Piven address the social value of the proposed research and importance of researcher-bioethicist collaborations. Drs Estes and Wolff discuss the clinical potential and challenges of developing presymptomatic interventions for infants at risk for ASD. Dr Harrington takes a neurodiversity view of presymptomatic prediction and intervention and their implications for autistic identity and quality of life. Finally, Drs MacDuffie, Peay and Wilfond consider the potential risks and benefits that must be evaluated and weighed in the next phases of research on presymptomatic detection and intervention for ASD.

Autism Spectrum Disorder Parent Report for Outcome Monitoring: A Preliminary Report of Development and Clinical Utility

OBJECTIVE

Children with autism spectrum disorder (ASD) face challenges across many functional domains. A tool that gathers relevant clinical information before visits, emphasizing symptoms that are likely to change over development and inform clinical interventions, could improve health care quality, allowing for more patient-centered and efficient care. This study evaluated the clinical utility and preliminary psychometrics of the ASD Parent Report for Outcome Monitoring (ASD-PROM), a web-based measure assessing competence in core features of ASD, along with the breadth of concerns and comorbidities that frequently co-occur with ASD.

METHODS

An interdisciplinary team drafted the ASD-PROM and made iterative revisions based on parent feedback. Parents of 62 children completed the ASD-PROM before their autism-specialty clinical visit, 53 completed the ASD-PROM twice, and 48 completed the Vineland Adaptive Behavior Scales, Second Edition (Vineland-II) concurrently. Parents (n = 25) and clinicians (n = 13) completed postvisit surveys to assess utility (phase 1). The ASD-PROM was then released for general clinical use (phase 2).

RESULTS

On a Likert scale (1 = very poorly, 10 = very well), parents found that ASD-PROM items described their child's abilities well (median = 8.0; interquartile range [IQR]: 7.0-9.5) and had a positive effect on care (median = 8.0; IQR: 7.0-10.0). Clinicians found the ASD-PROM effective in assessing parent-reported patient abilities (median = 9.0, IQR: 7.0-9.0) and felt the ASD-PROM helped make their care more patient-centered and efficient (both median = 8.0, IQR: 6.0-9.0). Two-week test-retest reliability was acceptable (0.95). ASD-PROM scores correlated positively with scores from similar domains on the Vineland-II (Pearson r 0.30-0.50, medium to large effects).

CONCLUSION

The ASD-PROM is a freely available tool to gather information on developmental and behavioral functioning in children with ASD before autism-specialty clinical visits. Clinical utility and preliminary psychometrics are promising, although limitations (including a low response rate during clinical use and a need for additional in-depth assessments and potential resulting modifications to the tool) remain to be addressed. Ultimately, the ASD-PROM may help promote patient-centered and efficient care for children across a wide range of ages and developmental levels.

Infant-Toddler Checklist identifies 18-month-old children with communication difficulties in the Swedish child healthcare setting

Aim

At present, there is no reliable method to screen for communication difficulties at age 18‐months in the Swedish child health care. This study examined the psychometric properties of the Communication and Symbolic Behavior Scales Developmental Profile Infant‐Toddler Checklist (ITC) when used at the 18‐month visit in the child healthcare setting.

Methods

Children aged 16–20 months (n = 679) were screened. Children were referred for an assessment if they screened positive screen or if the parent or nurse was concerned about the child's communicative development. Two groups of positive screens were used in the analysis (n = 78 children), one based on the ITC result, and one combining the ITC with contradicting information from the nurses' informal clinical assessment.

Results

The AUC ranged from 0.68 to 0.84. The sensitivity was 0.85, and the specificity was 0.59. When the ITC result was combined with the nurses' information, sensitivity increased to 0.88 and specificity to 0.63. The internal consistency was moderate to high, and fit indices were satisfactory.

Conclusion

The results suggest that the ITC can be used to identify children in need of interventions to enhance communication at 18 months of age, especially in combination with the nurse's assessment.

Epilepsy and electroencephalographic abnormalities in patients with diagnosis of idiopathic autism spectrum disorder in Medellín

The objective of the present study was to make a clinical and electroencephalographic characterization of the electrical findings and types of seizures in patients with idiopathic autism. Pediatric patients of any age, with the diagnosis of idiopathic ASD, contained within the database of the research “Genetic in autism” were included. An electroencephalographic recording with epilepsy protocol was performed in all the patients. 20 pediatric patients were included with an age media of 10.5 years, SD 5.48 years. The median age for the diagnosis of ASD was 53 months, and epileptic seizures were documented in 45%. 66.6% of patients with epileptic events had anti-epileptic treatment, and only 33.3% had achieved seizure control with medication. Interictal abnormal EEG records were found in 8 patients (40%), with 6 of them having epileptic seizures. The abnormal EEG activity was multifocal in 62.5%, focal in 25% and generalized in 12.5% of the cases. The most frequently compromised location was the temporal lobe.

Timing of the Diagnoses of Attention Deficit Hyperactivity Disorder and Autism Spectrum Disorder in Taiwan

ADHD comorbidity has been associated with delayed diagnosis of ASD, but no study has investigated this association in an Asian country. Children with ASD were included and divided into three groups: ADHD before ASD, ADHD same/after ASD, and ASD only. Timing of ASD and ADHD diagnoses were assessed. The logistic regression model was performed to investigate the likelihood of being diagnosed with ASD after 6 years of age between three groups. ADHD before ASD (OR 10.93) group was more likely to being diagnosed with ASD after 6 years of age compared with ADHD same/after ASD (OR: 1.37) and ASD only groups. ADHD comorbidity would delay the diagnosis of ASD in the general clinical settings in Taiwan.

Experience with the Rapid Interactive Test for Autism in Toddlers in an Autism Spectrum Disorder Diagnostic Clinic

OBJECTIVE

To examine the psychometric properties of the Rapid Interactive Screening Test for Autism in Toddlers (RITA-T) in an autism spectrum disorder (ASD) clinic for children aged 18 to 36 months.

METHODS

The RITA-T (level 2 screening instrument) was integrated into an ASD screening and diagnostic process for evaluating children aged 18 to 36 months who were referred to a pediatric tertiary care center. Scoring of the RITA-T to differentiate ASD from non-ASD developmental concerns was evaluated. Screening instrument measurements included sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (LR+), and negative likelihood ratio (LR-).

RESULTS

From a total of 239 participants aged 18 to 36 months (males = 78% and females = 22%), 201 (84%) were diagnosed with ASD (4:1 male-to-female ratio). An ASD diagnosis was significantly associated with RITA-T scores, with ASD patients scoring higher than non-ASD patients [F (1,235) = 170, mean difference: males 9.21, mean difference: females 12.4, p < 0.001]. The RITA-T score was not statistically correlated with age or sex. The optimal cutoff score of ≥14 was determined from a receiver operator curve analysis (area under the curve = 0.953). In the study group, with a cutoff score of ≥14, the RITA-T showed a sensitivity of 0.97, specificity of 0.71, PPV of 0.95, NPV of 0.79, LR+ of 3.33, and LR- of 0.05.

CONCLUSION

The RITA-T, as a level 2 screening instrument for ASD, exhibits discriminative psychometric properties similar to previously published results. When integrated into an ASD screening and diagnostic process for families for whom concerns about ASD have been raised with their children aged 18 to 36 months, the RITA-T helps to predict a best-estimate clinical diagnosis of ASD.

Screening for Behavioral Signs of Autism Spectrum Disorder in 9-Month-Old Infant Siblings

Despite considerable progress in characterizing the early signs of autism spectrum disorder (ASD), more remains to be learned about how symptoms emerge in the first year of life. Parents with a new baby who already had at least one biological child diagnosed with ASD (high-risk) or no family history of ASD (low-risk) completed two measures when their baby was 9 months of age, the Autism Parent Screen for Infants (APSI) questionnaire and the interview-based Parent Concerns Form. Children underwent a blinded independent diagnostic assessment for ASD at age 3 years. Total scores on the APSI and the Parent Concerns Form were both able to independently differentiate high-risk children who were later diagnosed with ASD from other high-risk and low-risk children who were not. Using logistic regression, we found that the total score on the APSI predicted ASD outcomes at age 3 with 70% accuracy, but the Parent Concerns Form did not contribute any unique variance when the APSI was already in the model. The results suggest that the APSI identifies early features predictive of ASD in high-risk infants and can be used to flag them for targeted follow-up and screening.

Early Intervention Providers' Perspectives About Working with Families of Toddlers with Suspected ASD: A Qualitative Study

Part C early intervention (EI) providers are at the front line of service provision for children under 3 years old with developmental delays or disabilities. As such, they can play a key role in both the early detection of autism spectrum disorder (ASD) and the provision of ASD-specialized treatment. Focus groups were conducted with 25 EI providers from three agencies in a Northwestern U.S. county to understand their role in the identification of ASD and communication about ASD concerns to families. Results revealed the tension that providers experience between maintaining a positive and supportive relationship with families and raising the issue of possible ASD. Cultural influences affecting ASD care and suggestions for desired resources were also discussed.

Does the M-Chat-R Give Important Information for the Diagnosis of the Autism Spectrum Disorder?

Having in mind the rising rates of the incidence for autism worldwide, the early diagnosis of this neuro-developmental disorder is of the high priority. For that purpose, several checklists have been constructed and used. Nevertheless, there are no universal and uniform criteria for assessing and diagnosing autism, and even if there existed, not every country has the resources to manage such an assessment for diagnosis.A recently validated, revised version of the M-CHAT, the M-CHAT-Revised with Follow up (M-CHAT-R/F) has demonstrated strong psychometric properties.The aim of this article is to discuss our results obtained with M-CHAT-R applied in a sample of 131 children aged 31,9 ±9,4 months, recruited for diagnosis and treatment at the University Children's Hospital in Skopje.Our results confirmed that for screening the use of M-CHAT-R/F is currently the very exact instrument which allows the early suspicion, but also possible follow up the symptoms of this disorder. Additionally, we showed the significant negative correlation between age and scores obtained on the checklist.

Dysregulation of Multiple Signaling Neurodevelopmental Pathways during Embryogenesis: A Possible Cause of Autism Spectrum Disorder

Understanding the autistic brain and the involvement of genetic, non-genetic, and numerous signaling pathways in the etiology and pathophysiology of autism spectrum disorder (ASD) is complex, as is evident from various studies. Apart from multiple developmental disorders of the brain, autistic subjects show a few characteristics like impairment in social communications related to repetitive, restricted, or stereotypical behavior, which suggests alterations in neuronal circuits caused by defects in various signaling pathways during embryogenesis. Most of the research studies on ASD subjects and genetic models revealed the involvement of mutated genes with alterations of numerous signaling pathways like Wnt, hedgehog, and Retinoic Acid (RA). Despite significant improvement in understanding the pathogenesis and etiology of ASD, there is an increasing awareness related to it as well as a need for more in-depth research because no effective therapy has been developed to address ASD symptoms. Therefore, identifying better therapeutic interventions like "novel drugs for ASD" and biomarkers for early detection and disease condition determination are required. This review article investigated various etiological factors as well as the signaling mechanisms and their alterations to understand ASD pathophysiology. It summarizes the mechanism of signaling pathways, their significance, and implications for ASD.

[Value of autism screening checklists in the early identification of autism spectrum disorder]

OBJECTIVE

To evaluate the value of autism screening checklists in the early identification of autism spectrum disorder (ASD).

METHODS

A total of 2 571 children who attended the Children's Hospital of Chongqing Medical University and completed autism screening and diagnostic test were enrolled as subjects, among whom 2 074 were diagnosed with ASD, 261 were diagnosed with global developmental delay (GDD), 206 were diagnosed with developmental language disorder (DLD), and 30 had normal development. The sensitivity, specificity, and optimal threshold value of the Modified Checklist for Autism in Toddlers (M-CHAT) and the Autism Behavior Checklist (ABC) for the early identification of ASD were evaluated by the receiver operating characteristic (ROC) curve.

RESULTS

The M-CHAT had a high sensitivity of 88.3% but a low specificity of 36.0% for the identification of ASD. Its sensitivity decreased with age, and was maintained above 80% for children aged 16 to < 48 months. The ABC had a high specificity of 87.3% but a low sensitivity of 27.2%, with an optimal cut-off value of 47.5 based on the ROC curve analysis. The multivariate linear regression model based on a combination of the M-CHAT and ABC for screening of ASD showed a specificity of 85.8% and a sensitivity of 56.6%.

CONCLUSIONS

The M-CHAT has a high sensitivity and a low specificity in the identification of ASD, with a better effect in children aged 16 to < 48 months. The ABC has a high specificity and a low sensitivity. The multiple linear regression model method based on the combined M-CHAT and ABC to screen ASD appears to be effective.