Faculty Bibliography

A novel functional additive model is proposed, which is uniquely modified and constrained to model nonlinear interactions between a treatment indicator and a potentially large number of functional and/or scalar pretreatment covariates. The primary motivation for this approach is to optimize individualized treatment rules based on data from a randomized clinical trial. We generalize functional additive regression models by incorporating treatment-specific components into additive effect components. A structural constraint is imposed on the treatment-specific components in order to provide a class of additive models with main effects and interaction effects that are orthogonal to each other. If primary interest is in the interaction between treatment and the covariates, as is generally the case when optimizing individualized treatment rules, we can thereby circumvent the need to estimate the main effects of the covariates, obviating the need to specify their form and thus avoiding the issue of model misspecification. The methods are illustrated with data from a depression clinical trial with electroencephalogram functional data as patients' pretreatment covariates.

INTRODUCTION:The novel coronavirus disease 2019 (COVID-19) significantly disrupted therapy service delivery for children with disabilities and their families. Parents of children with disabilities have been particularly impacted as a large degree of responsibility has been placed on them to both manage and deliver therapies remotely. However, little is known regarding whether sociodemographic factors are associated with parents' perceptions of therapy service delivery during COVID-19. This study explored the relationship between sociodemographic factors and parents' satisfaction with therapies for children with disabilities during COVID-19. METHOD:Two hundred seven parents of children with disabilities completed an online survey battery that included the Family-Provider Partnership Scale and sociodemographic characteristics and assessed their satisfaction with their child[ren]'s therapies during COVID-19. RESULTS:Access to telehealth, receipt of only school-based therapies, parent education, number of household essential workers, and total number of children were associated with satisfaction with therapy service and/or the family-provider partnership. DISCUSSION:By better understanding the association between sociodemographic factors and parent perception of therapy service delivery, providers can better support families in optimizing service delivery during the remainder of COVID-19 mitigation efforts and during future periods of service disruption. This study provides insight into the sociodemographic characteristics that are associated with lower levels of satisfaction and thus require more tailored support from providers. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

BACKGROUND:NEUROD2, encoding the neurogenic differentiation factor 2, is essential for neurodevelopment. To date, heterozygous missense variants in this gene have been identified in eight patients (from six unrelated families) with epileptic encephalopathy and developmental delay. CASE REPORT/METHODS:We describe a child with initial clinical suspicion of Rett/Rett-like syndrome, in whom exome sequencing detected a novel de novo variant (c.388G > A, p.Glu130Lys) in NEUROD2. Interestingly, a missense change affecting the same codon, c.388G > C (p.Glu130Gln), was previously identified in other two patients. CONCLUSIONS:Our results suggest that Glu130 might represent a potential mutational hotspot of NEUROD2. Furthermore, the clinical findings (especially the absence of clinically overt seizures) strengthen the NEUROD2-phenotypic spectrum, implying that developmental delay may also manifest isolatedly. We suggest inclusion of NEUROD2-associated developmental and epileptic encephalopathies (DEEs) in the differential diagnosis of atypical Rett syndrome as well as gene panels related to autism spectrum disorder.

INTRODUCTION AND OBJECTIVES/OBJECTIVE:The opioid overdose epidemic is exacerbated by the emergence of Xylazine as an illicit drug adulterant. Xylazine, a veterinary sedative, can potentiate opioid effects while also causing toxic and potentially fatal side effects. This systematic review aims to assess the impact of Xylazine use and overdoses within the opioid epidemic context. METHOD/METHODS:A systematic search was conducted following PRISMA guidelines to identify relevant case reports, and case series related to Xylazine use. A comprehensive literature search included databases like Web of Science, PubMed, Embase, and Google Scholar, utilizing keywords and Medical Subject Headings (MeSH) terms related to Xylazine. Thirty-four articles met the inclusion criteria for this review. RESULTS:Intravenous (IV) administration was a common route for Xylazine use among various methods, including subcutaneous (SC), intramuscular (IM), and inhalation, with overall doses ranging from 40 mg to 4300 mg. The average dose in fatal cases was 1,200 mg, compared to 525 mg in non-fatal cases. Concurrent administration of other drugs, primarily opioids, occurred in 28 cases (47.5%). Intoxication was identified as a notable concern in 32 out of 34 studies, and treatments varied, with the majority experiencing positive outcomes. Withdrawal symptoms were documented in one case study, but the low number of cases with withdrawal symptoms may be attributed to factors such as a limited number of cases or individual variation. Naloxone was administered in eight cases (13.6%), and all patients recovered, although it should not be misconstrued as an antidote for Xylazine intoxication. Of the 59 cases, 21 (35.6%) resulted in fatal outcomes, with 17 involving Xylazine use in conjunction with other drugs. The IV route was a common factor in six out of the 21 fatal cases (28.6%). CONCLUSION/CONCLUSIONS:This review highlights the clinical challenges associated with Xylazine use and its co-administration with other substances, particularly opioids. Intoxication was identified as a major concern, and treatments varied across the studies, including supportive care, naloxone, and other medications. Further research is needed to explore the epidemiology and clinical implications of Xylazine use. Understanding the motivations and circumstances leading to Xylazine use, as well as its effects on users, is essential for developing effective psychosocial support and treatment interventions to address this public health crisis.

Attention-deficit/hyperactivity disorder (ADHD) is a heterogeneous disorder with a high degree of psychiatric and physical comorbidity, which complicates its diagnosis in childhood and adolescence. We analyzed registry data from 238,696 persons born and living in Sweden between 1995 and 1999. Several machine learning techniques were used to assess the ability of registry data to inform the diagnosis of ADHD in childhood and adolescence: logistic regression, random Forest, gradient boosting, XGBoost, penalized logistic regression, deep neural network (DNN), and ensemble models. The best fitting model was the DNN, achieving an area under the receiver operating characteristic curve of 0.75, 95% CI (0.74-0.76) and balanced accuracy of 0.69. At the 0.45 probability threshold, sensitivity was 71.66% and specificity was 65.0%. There was an overall agreement in the feature importance among all models (τ > .5). The top 5 features contributing to classification were having a parent with criminal convictions, male sex, having a relative with ADHD, number of academic subjects failed, and speech/learning disabilities. A DNN model predicting childhood and adolescent ADHD trained exclusively on Swedish register data achieved good discrimination. If replicated and validated in an external sample, and proven to be cost-effective, this model could be used to alert clinicians to individuals who ought to be screened for ADHD and to aid clinicians' decision-making with the goal of decreasing misdiagnoses. Further research is needed to validate results in different populations and to incorporate new predictors.

Cognition in preverbal human infants must be inferred from overt motor behaviors such as gaze shifts, head turns, or reaching for objects. However, infant mammals - including human infants - show protracted postnatal development of cortical motor outflow. Cortical control of eye, face, head, and limb movements is absent at birth and slowly emerges over the first postnatal year and beyond. Accordingly, the neonatal cortex in humans cannot generate the motor behaviors routinely used to support inferences about infants' cognitive abilities, and thus claims of developmental continuity between infant and adult cognition are suspect. Recognition of the protracted development of motor cortex should temper rich interpretations of infant cognition and motivate more serious consideration of the role of subcortical mechanisms in early cognitive development.

In a study of conflict recovery and adolescent dating aggression, 14- to 18-year-old couples (N = 209 dyads) participated in a 1-hr observational assessment. Negative behavior was observed during conflict-evoking "hot" tasks and in a "cooldown" task. Physical and psychological dating aggression were assessed via questionnaires. Negative behavior measured in the cooldown task was not associated with dating aggression after controlling for carryover effects of negativity from the hot to cooldown tasks. Moreover, cooldown negativity moderated the associations of hot task negativity and dating aggression. Actor and partner effects were disentangled via dyadic data analyses. Given the paucity of observational studies of dating aggression, our findings are an important contribution to the literature and in need of replication and extension.

Characterizing the developmental trajectories of children with autism spectrum disorder (ASD) throughout adolescence and across different domains of functioning offers opportunities to improve long-term outcomes. This prospective study explored, for the first time, the evolution of children with ASD-without intellectual disability (ID) in terms of socio-adaptative skills, learning behaviors, executive functioning (EF), and internalizing/externalizing problems, compared to typically developing (TD) peers. Forty-five children with ASD-without ID and 37 matched TD children (aged 7-11) were assessed at baseline and after 5 years. Parents and teachers completed measures on theory of mind (ToM), socialization, daily living skills, learning style, EF, and emotional/behavioural difficulties at both time points. On all the domains assessed, the ASD group performed significantly worse than the TD group, both in childhood and adolescence. Specific changes were noted between baseline and follow-up assessment on adaptive skills, prosocial behavior, emotional control, inhibit, working memory and monitoring. Group membership (ASD/TD) was influenced by peer relationships and inhibit EF variables. These findings have implications for clinical and school settings.

New-onset psychosis in the pediatric population poses many diagnostic challenges. Given the diversity of underlying causes, which fall under the purview of multiple medical specialties, a timely, targeted, yet thorough workup requires a systematic and coordinated approach. A committee of expert pediatric physicians from the divisions of emergency medicine, psychiatry, neurology, hospitalist medicine, and radiology convened to create and implement a novel clinical pathway and approach to the pediatric patient presenting with new-onset psychosis. Here we provide background and review the evidence supporting the investigations recommended in our pathway to screen for a comprehensive range of etiologies of pediatric psychosis.