Missed initial appointments at Israeli child development centres: Rate, reasons, and associated characteristics.

INTRODUCTION: Missed appointments (MAs) at child development centres (ChDCs) cause multiple problems: they preclude timely diagnosis and treatment of both the invited child and children whose appointment was delayed due to overbooking, as well as disrupting efficient organisational management. The aim of this study was to assess the rate and describe the reasons for missed appointments at Israeli ChDCs, and to evaluate the association of socio-demographic, clinical, and administrative variables with MA rates. METHODS: This nested case-control study included all children scheduled for initial appointments (N = 1143) at three centres during 1 year. Parents of children who missed their appointment and a sample of those who attended were interviewed by telephone. RESULTS: The rate of missed appointments was 26.6%, and the most frequent reasons were unexpected events (26.0%) and lack of insurance coverage (23.4%). Variables associated with lower MA rates were: having had ≥3 types of rehabilitative interventions (odds ratios (OR) = 0.26; 95% confidence interval [CI] 0.16-0.44), detailed referral letter (OR = 0.48; 95%CI 0.30-0.75), telephone reminder (OR = 0.37; 95%CI 0.24-0.57) and health maintenance organisations or private insurance coverage (OR = 0.12; 95%CI 0.06-0.17 and OR = 0.56; 95% CI 0.38-0.89, respectively). CONCLUSION: Encouraging physician's referral letters and personal-contact reminders can reduce missed appointments. Understanding the family's and the child's personal characteristics, and the organisational/administrative aspects of missed appointments may guide efforts to ensure timely care for every child.

Variability of Coordination in Typically Developing Children Versus Children with Autism Spectrum Disorder with and without Rhythmic Signal.

Motor coordination deficit is a cardinal feature of autism spectrum disorder (ASD). Theevaluation of coordination of children with ASD is either lengthy, subjective (via observationalanalysis), or requires cumbersome post analysis. We therefore aimed to use tri-axial accelerometersto compare inter-limb coordination measures between typically developed (TD) children and childrenASD, while jumping with and without a rhythmic signal. Children aged 5-6 years were recruited tothe ASD group (n = 9) and the TD group (n = 19). Four sensors were strapped to their ankles and wristand they performed at least eight consecutive jumping jacks twice: at a self-selected rhythm and witha metronome. The primary outcome measures were the timing lag (TL), the timing difference of themaximal acceleration of the left and right limbs, and the lag variability (LV), the variation of TL acrossthe 5 jumps. The LV of the legs of children with ASD was higher compared to the LV of the legs of TDchildren during self-selected rhythm jumping (p < 0.01). Additionally, the LV of the arms of childrenwith ASD, jumping with the rhythmic signal, was higher compared to that of the TD children (p <0.05). There were no between-group differences in the TL parameter. Our preliminary findingssuggest that the simple protocol presented in this study might allow an objective and accuratequantification of the intra-subject variability of children with ASD via actigraphy.

Benefits of medical clowning in the treatment of young children with autism spectrum disorder.

We investigated the contribution of group therapy delivered by a medical clown to young children diagnosed with autism spectrum disorder (ASD). So far, scientific publications regarding medical clowning focus on general health advantages. The current study is the first controlled research examining the use of medical clowning in the therapy for children with ASD. Twenty-four children aged 2-6 years old with ASD enrolled in our special education intensive program were examined before and after group sessions with clown intervention (CI) and other intervention (OI). We tested stereotypic behaviors, verbal expression, play reciprocity, and social smiles. Data was collected during 12 weeks of intervention, and the trajectory of change was evaluated in addition to the pre-/post-intervention.Conclusion: improvement over time in all measures: Significant increase in word production, play reciprocity, and amount of social smiles during CI as compared with OI. We also found a reduction in frequency of stereotypic behaviors during and following CI as compared with before CI. These preliminary results indicate that medical clowning may be beneficial for young children with ASD, since it promotes communication and social reciprocity in a fun and lively interventional setting. What is Known: • Many therapies are used and proven as efficacious interventions for children with ASD. • So far, medical clowning was not tested as an intervention or therapy for ASD. What is New: • Medical clowning sessions with children with ASD elicited enhanced communication during the interventions as compared with other interventions. • Medical clowning sessions contributed to a decrease in frequency of stereotypic movements over time, in children with ASD.

Prolonged Time Lag to Final Diagnosis of Fragile X Syndrome.

OBJECTIVE: To evaluate the diagnostic process in children ultimately diagnosed with fragile X syndrome (FXS), with an emphasis on the time lag between initial presentation and on diagnosis in female vs male children. STUDY DESIGN: Interviews were conducted with 89 families of children with a final diagnosis of FXS and assessment of time intervals between initial presentation and confirmed molecular diagnosis. RESULTS: Screening of 117 patients (25 female patients) from the 89 families revealed that less than 20% of patients obtained a diagnosis within the first year of seeking medical attention. Mean age at the time of initial presentation was 12.3 months in male patients and 23 months in female patients, while definitive diagnosis of FXS was made at a mean of 4 and 9 years, respectively. Presenting symptoms of developmental delays were recognized by 72% of parents, and 84% had another child with FXS before the index case diagnosis. Average age of diagnosis for children with FXS born since 2007 was significantly lower at 31.9 months, compared with 69.5 months for children born before 2007. CONCLUSIONS: Although FXS is a significant and prevalent cause of disability in children, it is underdiagnosed and diagnosed late, especially in female patients. In every male and female patient presenting with developmental delay or autism, FXS should be considered. Dysmorphic physical features may not be present in infancy, and the absence of those features cannot exclude a diagnosis of FXS.

[FROM GENETICS OF FRAGILE X SYNDROME TO DEVELOPMENT OF TARGETED AND PERSONALIZED DRUG THERAPY].

INTRODUCTION: At the end of the last century Fragile X syndrome was identified, and the main syndrome characteristics were discovered. The syndrome is caused from a flaw in the number of nucleotide repeats that encodes for a regulatory protein which is critical for neural connectivity and normal brain development. The syndrome is characterized by neurodevelopmental and intellectual disabilities, autism spectrum features and other clinical features associated with the same gene aberration. The number of trinucleotide repeats have a direct effect on the outcome and the need for genetic counseling. We advocate performing genetic tests for every child with developmental delay, learning disabilities, autism spectrum disorders and especially, intellectual impairment. It is also advisable to check the number of nucleotide repeats of the gene, in every woman suffering from infertility or early menopause. In addition, genetic testing should be performed on older adults manifesting early symptoms of Parkinson's disease, balance instability, tremor or cognitive dysfunction with unknown etiology. Due to the tremendous progress in understanding the biological mechanisms of the syndrome, new molecules/drugs have been proposed and are tested, in order to find a way to bypass the defect mechanism underlying the disorder. We will review the most commonly used drugs in the treatment of Fragile X syndrome and many medications that are currently under investigation as a more targeted treatment.

Fragile X Premutation Carrier Epidemiology and Symptomatology in Israel-Results from a Tertiary Child Developmental Center.

Fragile X syndrome (FXS) is the most prevalent known genetically inherited cause for autism and intellectual disability. Premutation state can cause several clinical disorders as well. We aimed to perform a nesting approach to acquire data with regard to first degree relatives of index fragile X cases at the largest child development center in Israel in order to map characteristics of Israeli FXS permutation women carriers. Seventy-nine women were referred due to a related fragile X syndrome patient, mainly an offspring or sibling. General information regarding demographics, ethnicity, and associated medical conditions were collected using interviews and structured questionnaires. Thirteen (17 %) of the women who were referred as "carrier" were proven to be actually full mutation. The mean years of education were 14 (±1.51, range 12-17). Twenty-one women (27 %) originated from Tunisia (mainly from the island of Djerba). Ten women (13 %) reported delivery of their affected offspring beyond 41 gestational weeks. Twenty-two percent of women with premutation reported symptoms consistent with learning difficulties, mainly dyscalculia, and 14 % reported ADHD symptoms. Awareness about clinical disorders of the carriers was existent only in 25 % of the patients. Increased awareness and knowledge dissemination concerning premutation symptomatology and associated medical conditions are warranted. We suggest a national registry to be installed in different countries in order to identify fragile X premutation carriers at increased risk for various medical complications.

CYP2D6 genotyping in paediatric patients with autism treated with risperidone: a preliminary cohort study.

AIM: To evaluate the association between cytochrome P450 2D6 (CYP2D6) phenotypes in paediatric patients with autistic spectrum disorders (ASD) treated with risperidone, adverse drug reactions (ADRs), and drug efficacy. METHOD: An observational cohort study of 40 children (34 males, six females; median age 7y range 3-18y) with autistic disorder, pervasive developmental disorder not otherwise specified, or Asperger syndrome diagnosed using the Autism Diagnostic Interview-Revised and treated with risperidone for at least 3 months. Charts were reviewed for demographic and clinical information, response to treatment was assessed by parents and the treating neurologist on a three-point scale, and information about ADRs was collected. Trough plasma levels of risperidone and its metabolites were determined and CYP2D6 genotyping was performed. RESULTS: Twenty-six patients responded to therapy and 11 patients exhibited ADRs. CYP2D6 genotyping showed two patients to be poor metabolizers, two ultra-rapid metabolizers, seven intermediate metabolizers, and 29 extensive metabolizers. Both ultra-rapid metabolizer patients were non-responders and had no ADRs. In contrast, both poor metabolizer patients were responders but experienced ADRs. No correlation was found between risperidone dosage and either risperidone or drug metabolite plasma levels. There was no difference in risperidone or metabolite plasma levels when comparing responders to non-responders, or when comparing patients with or without ADRs. INTERPRETATION: In patients with ASD treated with risperidone, a CYP2D6 phenotype may be associated with response to treatment and development of ADRs.

An etiologic classification of autism spectrum disorders.

BACKGROUND: Autism spectrum disorders (ASD) represent a common phenotype related to multiple etiologies, such as genetic, brain injury (e.g., prematurity), environmental (e.g., viral, toxic), multiple or unknown causes. OBJECTIVES: To devise a clinical classification of children diagnosed with ASD according to etiologic workup. METHODS: Children diagnosed with ASD (n = 436) from two databases were divided into groups of symptomatic cryptogenic or idiopathic, and variables within each database and diagnostic category were compared. RESULTS: By analyzing the two separate databases, 5.4% of the children were classified as symptomatic, 27% as cryptogenic and 67.75% as idiopathic. Among other findings, the entire symptomatic group demonstrated language delays, but almost none showed evidence for regression. Our results indicate similarities between the idiopathic and cryptogenic subgroups in most of the examined variables, and mutual differences from the symptomatic subgroup. The similarities between the first two subgroups support prior evidence that most perinatal factors and minor physical anomalies do not contribute to the development of core symptoms of autism. CONCLUSIONS: Differences in gender and clinical and diagnostic features were found when etiology was used to create subtypes of ASD. This classification could have heuristic importance in the search for an autism gene(s).

Early developmental milestone clusters of autistic children based on electronic health records.

Autistic children vary in symptoms, co-morbidities, and response to interventions. This study aimed to identify clusters of autistic children with a distinct pattern of attaining early developmental milestones (EDMs). The clustering of 5836 autistic children was based on the attainment of 43 gross motor, fine motor, language, and social developmental milestones during the first 3 years of life as recorded in baby wellness visits. K-means cluster analysis detected four EDM clusters: mild (n = 1686); moderate (n = 1691); severe (n = 2265); and global (n = 194). The most prominent cluster differences were in the language domain. The global cluster showed earlier and greater developmental delay across domains, unique early gross motor delays, and more were born preterm via cesarean section. The severe cluster had poor language development prominently in the second year of life, and later fine motor delays. Moderate cluster had mainly language delays in the third year of life. The mild cluster mostly passed milestones. EDM clusters differed demographically, with higher socioeconomic status in mild cluster and lowest in global cluster. However, the severe cluster had more immigrant and non-Jewish mothers followed by the moderate cluster. The rates of parental concerns and provider developmental referrals were significantly higher in the global, followed by the severe, moderate, and mild EDM clusters. Autistic children's language and motor delay in the first 3 years can be grouped by common magnitude and onset profiles as distinct groups that may link to specific etiologies (like prematurity or genetics) and specific intervention programs. Early autism screening should be tailored to these different developmental profiles.

A Prediction Model of Autism Spectrum Diagnosis from Well-Baby Electronic Data Using Machine Learning.

Early detection of autism spectrum disorder (ASD) is crucial for timely intervention, yet diagnosis typically occurs after age three. This study aimed to develop a machine learning model to predict ASD diagnosis using infants' electronic health records obtained through a national screening program and evaluate its accuracy. A retrospective cohort study analyzed health records of 780,610 children, including 1163 with ASD diagnoses. Data encompassed birth parameters, growth metrics, developmental milestones, and familial and post-natal variables from routine wellness visits within the first two years. Using a gradient boosting model with 3-fold cross-validation, 100 parameters predicted ASD diagnosis with an average area under the ROC curve of 0.86 (SD < 0.002). Feature importance was quantified using the Shapley Additive explanation tool. The model identified a high-risk group with a 4.3-fold higher ASD incidence (0.006) compared to the cohort (0.001). Key predictors included failing six milestones in language, social, and fine motor domains during the second year, male gender, parental developmental concerns, non-nursing, older maternal age, lower gestational age, and atypical growth percentiles. Machine learning algorithms capitalizing on preventative care electronic health records can facilitate ASD screening considering complex relations between familial and birth factors, post-natal growth, developmental parameters, and parent concern.

Predicting autism traits from baby wellness records: A machine learning approach.

LAY ABSTRACT: Timely identification of autism spectrum conditions is a necessity to enable children to receive the most benefit from early interventions. Emerging technological advancements provide avenues for detecting subtle, early indicators of autism from routinely collected health information. This study tested a model that provides a likelihood score for autism diagnosis from baby wellness visit records collected during the first 2 years of life. It included records of 591,989 non-autistic children and 12,846 children with autism. The model identified two-thirds of the autism spectrum condition group (boys 63% and girls 66%). Sex-specific models had several predictive features in common. These included language development, fine motor skills, and social milestones from visits at 12-24 months, mother's age, and lower initial growth but higher last growth measurements. Parental concerns about development or hearing impairment were other predictors. The models differed in other growth measurements and birth parameters. These models can support the detection of early signs of autism in girls and boys by using information routinely recorded during the first 2 years of life.

Fetal brain growth and infant autistic traits.

BACKGROUND: Structural differences exist in the brains of autistic individuals. To date only a few studies have explored the relationship between fetal brain growth and later infant autistic traits, and some have used fetal head circumference (HC) as a proxy for brain development. These findings have been inconsistent. Here we investigate whether fetal subregional brain measurements correlate with autistic traits in toddlers. METHODS: A total of 219 singleton pregnancies (104 males and 115 females) were recruited at the Rosie Hospital, Cambridge, UK. 2D ultrasound was performed at 12-, 20- and between 26 and 30 weeks of pregnancy, measuring head circumference (HC), ventricular atrium (VA) and transcerebellar diameter (TCD). A total of 179 infants were followed up at 18-20 months of age and completed the quantitative checklist for autism in toddlers (Q-CHAT) to measure autistic traits. RESULTS: Q-CHAT scores at 18-20 months of age were positively associated with TCD size at 20 weeks and with HC at 28 weeks, in univariate analyses, and in multiple regression models which controlled for sex, maternal age and birth weight. LIMITATIONS: Due to the nature and location of the study, ascertainment bias could also have contributed to the recruitment of volunteer mothers with a higher than typical range of autistic traits and/or with a significant interest in the neurodevelopment of their children. CONCLUSION: Prenatal brain growth is associated with toddler autistic traits and this can be ascertained via ultrasound starting at 20 weeks gestation.

Cognitive and developmental outcome of conservatively treated children with congenital hyperinsulinism.

BACKGROUND: Congenital hyperinsulinism (CHI) is the most common cause of persistent hypoglycemia in infants. Its management can be extremely complicated, and may involve medical therapy and surgery. The mainstay of the treatment is to maintain normoglycemia, since hypoglycemia during infancy can have severe neurological consequences. OBJECTIVE: To assess the cognitive and developmental levels and the adaptive skills achieved by children with CHI who were treated medically over the past decade. SUBJECTS AND METHODS: Fourteen children with CHI, under the age of 10 years, who received medical treatment only, underwent a physical and neurological examination and standardized assessments that included the Bayley Scale of Infant and Toddler Development, 3rd Edition, or Kaufman Assessment Battery for Children, the Vineland Adaptive Behavior Scales and the Achenbach Child Behavior Checklist (CBCL) parent questionnaire form. RESULTS: Twelve children (86%) achieved normal range scores in the cognitive and development assessments (Bayley Scale of Infant and Toddler Development or Kaufman Assessment Battery for Children). Only two showed cognitive achievements below the normal range. The Vineland questionnaire, which was based on parental report, showed below normal adaptive skills in eight patients (57%). CONCLUSIONS: In contrast to previous studies showing a high prevalence of neurodevelopmental difficulties in children with congenital hyperinsulinism, our study showed normal cognitive achievements in most children. This may be attributed to the earlier recognition and better management of the disease in the past decade.

Executive Function and Working Memory Deficits in Females with Fragile X Premutation.

The Fragile X premutation is a genetic instability of the FMR1 gene caused by 55-199 recurrences of the CGG sequence, whereas there are only 7-54 repeats of the CGG sequence in the normal condition. While males with the premutation of Fragile X were found to have difficulties in executive functions and working memory, little data have been collected on females. This study is among the first to address executive functions and phonological memory in females with the Fragile X premutation. Twenty-three female carriers aged 20-55 years and twelve non carrier females matched in age and levels of education (in years) participated in this study. Executive functions and phonological memory were assessed using the self-report questionnaire The Behavior Rating Inventory of Executive Function (BRIEF) and behavioral measures (nonword repetitions, forward and backward digit span). Females who were carriers of the premutation of the FMR1 gene reported less efficient executive functions in the BRIEF questionnaire compared to the control group. In addition, a relationship was found between the number of repetitions on the CGG sequence of nucleotides, nonword repetitions, and forward digit span. The findings suggest that the premutation of Fragile X in females affects their performance of executive functions and may have impact on everyday functioning.

An escalating continuum of learning and attention difficulties from premutation to full mutation in female carriers of FMR1 expansion.

Objective: Carriers of Fragile X premutation may have associated medical comorbidities, such as Fragile X-associated tremor and ataxia (FXTAS) and Fragile X-associated premature ovarian insufficiency (FXPOI). We examined the Fragile X premutation effect on cognition, and we assumed that there is a direct correlation between the continuous spectrum of specific learning and attention deficits to the number of CGG repeats on the FMR1 gene. Methods: A total of 108 women were referred to our center due to a related Fragile X syndrome (FXS) patient, 79 women carried a premutation of 56-199 repeats, and 19 women carried a full mutation of more than 200 CGG repeats on FMR1 gene. Genetic results of CGG repeats, demographic information, structured questionnaires for ADHD, learning disabilities of language and mathematics, and independence level were analyzed in women carrying the FMR1 premutation and compared to the group carrying the full mutation. Women with FXS and FXTAS were excluded. Results: When analyzed as a continuum, there was a significant increase in the following complaints which were associated with a higher number of repeats: specific daily function skills such as driving a car, writing checks, disorientation in directions, and also specific learning difficulties such as spelling and math difficulties. Additionally, when tested as a categorical independent variable, we observe that women with the full mutation were more likely to have ADHD or other learning disability diagnoses in the past than during premutation (<200 CGG repetitions). Conclusion: Specific learning and attention difficulties and resulting daily function difficulties correlate with an increased number of CGG repeats and are more likely to be associated as a common feature of premutation and full mutation in a female premutation carrier. Despite evidence of learning and attention difficulties, it is encouraging that most female carriers of the premutation and full mutation function well in most areas. Nevertheless, they face significant difficulties in specific areas of functioning such as driving, and confusion in times and schedules. Those daily function skills are mostly impacted by dyscalculia, right and left disorientation, and attention difficulties. This may aid to design specific interventions to address specific learning deficits in order to improve daily function skills and quality of life.

Insight and Recommendations for Fragile X-Premutation-Associated Conditions from the Fifth International Conference on FMR1 Premutation.

The premutation of the fragile X messenger ribonucleoprotein 1 (FMR1) gene is characterized by an expansion of the CGG trinucleotide repeats (55 to 200 CGGs) in the 5' untranslated region and increased levels of FMR1 mRNA. Molecular mechanisms leading to fragile X-premutation-associated conditions (FXPAC) include cotranscriptional R-loop formations, FMR1 mRNA toxicity through both RNA gelation into nuclear foci and sequestration of various CGG-repeat-binding proteins, and the repeat-associated non-AUG (RAN)-initiated translation of potentially toxic proteins. Such molecular mechanisms contribute to subsequent consequences, including mitochondrial dysfunction and neuronal death. Clinically, premutation carriers may exhibit a wide range of symptoms and phenotypes. Any of the problems associated with the premutation can appropriately be called FXPAC. Fragile X-associated tremor/ataxia syndrome (FXTAS), fragile X-associated primary ovarian insufficiency (FXPOI), and fragile X-associated neuropsychiatric disorders (FXAND) can fall under FXPAC. Understanding the molecular and clinical aspects of the premutation of the FMR1 gene is crucial for the accurate diagnosis, genetic counseling, and appropriate management of affected individuals and families. This paper summarizes all the known problems associated with the premutation and documents the presentations and discussions that occurred at the International Premutation Conference, which took place in New Zealand in 2023.

[Preschool diagnostic process and changes in diagnosis of autism spectrum disorder].

BACKGROUND: Autism spectrum disorders [ASD] are characterized by a wide range of neuropsychiatric comorbid disorders which change during early development. Coordinated collaboration between therapists from various disciplines and integrating measurements, may Lead to a comprehensive diagnosis of ASD. A diagnostic kindergarten set-up for children with a preliminary diagnosis of ASD or communication disorder can facilitate a multidisciplinary diagnosis, as an integral part of the child and parental intervention process. GOALS: To examine the changes in the diagnosis of children after one year of observation and treatment in a special education set-up, including aspects such as common neuropsychiatric comorbidity, differential diagnosis and subsequent placement recommendations. METHODS: Changes in the frequencies of ASD diagnoses were calculated prior to and following participation in the kindergarten for 76 children, who studied in the diagnostic kindergarten for ASD at the Weinberg Child Development Center during the last decade. Frequencies of neuropsychiatric comorbid disorders and differential diagnosis were calculated. RESULTS: It was found that: half (44.7%) of the preliminary diagnoses changed after a year of treatment; 14.2% of the children admitted with other developmental diagnoses, were subsequently diagnosed with ASD and in the cases of 25% of the children with ASD, their diagnosis was removed. Neuropsychiatric comorbid disorders appeared in 66% of cases. The most common differential diagnosis was Language disability, which appeared in 76% of the cases. CONCLUSIONS: This study reinforces the importance of a thorough assessment process conducted by a multidisciplinary team during and after treatment. A quarter of the children diagnosed with ASD in early childhood may have a different diagnosis later, usually milder, probably as a consequence of developmental changes combined with intensive treatment.

The myth of vaccination and autism spectrum.

BACKGROUND: Among all of the studied potential causes of autism, vaccines have received some of the most scrutiny and have been the topic of many evidence-based studies. These efforts have led the great majority of scientists, physicians, and public health researchers to refute causation between vaccines and autism. RATIONALE: This presumed association and concern has been a major contributor to parents' refusal to immunize their children and has become a major threat to public health in secluded populations over the last two decades, even prior to the COVID-19 pandemic. With the emergence of COVID-19 immunizations, sentiments towards this topic were addressed as a public health concern that may influence the ability to overcome the Corona virus worldwide. SCIENTIFIC REVIEW OF DATA: Despite the overwhelming data demonstrating that there is no link between vaccines and autism, many parents are hesitant to immunize their children because of the alleged association. Other contributing factors to the myths and conspiracy theories surrounding the association between vaccines and autism include the fact that the diagnosis of autism is typically made after the age of receiving the main childhood immunizations, as well as the occasional occurrence of regression after the age of first year vaccinations. In spite of vast evidence that the main contribution to the increase in incidence is from improvement of the diagnostic process, this rapid and publicized rise in autism diagnoses feeds parental concerns regarding any medical intervention that may be associated with the health of their children. RECOMMENDATIONS: It is plausible that with more evidence-based studies linking autism to specific etiologies the myth will diminish and disappear eventually. In an era where conspiracy theories are prevalent on social media, it is critical that evidence-based studies relating autism to specific etiologies be made public, and that information concerning autism diagnosis and causes be made more readily available through social media and parental organizations.