Publications by authors named "Scott Kollins"

Post-COVID-19 cognitive deficits are common, persistent, and disabling. Evidence on effective treatments is limited. The goal of this study was to investigate the efficacy of a digital intervention to reduce cognitive and functional deficits in adults with persistent post-COVID-19 cognitive dysfunction.

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Background: The objectives of this study were to examine the association of psychiatric comorbidities and patient characteristics with treatment change and response as well as to assess the association between treatment change and healthcare resource utilization (HCRU) among adult patients with attention-deficit/hyperactivity disorder (ADHD) and psychiatric comorbidities.

Methods: De-identified electronic health records from the NeuroBlu Database (2002-2021) were used to select patients ≥ 18 years with ADHD who were prescribed ADHD-specific medication. The index date was set as the first prescription of ADHD medication.

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Background: Autism commonly co-occurs with attention-deficit/hyperactivity disorder (ADHD), but less is known regarding how ADHD symptoms impact the early presentation of autism. This study examined early behavioral characteristics of a community sample of toddlers later identified with autism diagnosis, ADHD symptoms, combined autism and ADHD symptoms, or neither condition.

Methods: Participants were 506 toddlers who were part of a longitudinal study of children's behavioral development.

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AKL-T01 is a digital therapeutic (DTx) that targets attention by generating conflict at dynamically updated difficulty levels during a multitasking game. Clinical trials support AKL-T01's efficacy in attention-deficit/hyperactivity disorder (ADHD), but there is a need to understand how in-game data can be used to monitor patient changes in cognition. We aimed to derive a real-time measure of attention from AKL-T01 gameplay data and validate it against clinical outcomes.

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Purpose: Early detection and intervention are associated with improved outcomes for autistic children. Thus, it is important to understand factors influencing early screening tools designed to detect autism. This study examined the relationship between caregiver-reported emotional and behavioral symptoms and children's scores on a commonly used autism screening questionnaire, the Modified Checklist for Autism in Toddlers-Revised with Follow-Up (M-CHAT-R/F).

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Inattention symptoms represent a key driver of functional impairment in ADHD and often persist into adolescence and adulthood, underscoring a need for novel treatments targeting attentional control. We evaluated AKL-T01-a digital therapeutic that is FDA-cleared for children 8-12 y with ADHD-in adolescents and adults with ADHD in two independent single-arm trials: STARS-ADHD-Adolescent, a 4-week trial in adolescents 13-17 y (n = 162 enrolled), and STARS-ADHD-Adult, a 6-week trial in adults 18 and older (n = 221 enrolled). AKL-T01 was linked with improvements on the Test of Variables of Attention (TOVA) Attention Comparison Score (ACS) of 2.

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Article Synopsis
  • ADHD is often underdiagnosed and undertreated in girls, with inattentive symptoms persisting into adulthood, prompting the study of a digital therapeutic, AKL-T01, designed to improve attention.
  • In three clinical trials involving children, adolescents, and adults, researchers analyzed sex differences in efficacy, finding that girls showed more improvement in certain attention measures compared to boys in the child trial, while no significant differences were evident in the adolescent or adult trials.
  • The results suggest that AKL-T01 may enhance attentional functioning in girls with ADHD, indicating the need for objective attention assessments in children to counter gender biases in ADHD symptom reporting.
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Objective: To evaluate treatment responder rate using the Attention-Deficit/Hyperactivity Disorder Rating Scale-5 (ADHD-RS-5) score based on optimized dose level of serdexmethylphenidate/dexmethylphenidate (SDX/d-MPH) and changes in ADHD severity in children (aged 6-12 years) with ADHD.

Methods: During a 21-day dose-optimization phase, 155 patients initiated treatment with 39.2/7.

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Objective: Few studies have characterized the nature of sleep problems among adolescents with attention-deficit/hyperactivity disorder (ADHD) using polysomnography (PSG). Additionally, although adolescents with ADHD and adolescents with sleep disturbances display similar neurocognitive deficits, the role of sleep in contributing to neurocognitive impairment in adolescent ADHD is unknown. This study investigated differences in PSG-measured sleep among adolescents with ADHD compared with non-psychiatric controls and associations with neurocognition.

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Article Synopsis
  • Buprenorphine-naloxone is an effective treatment for opioid use disorder, but many patients don't stick with it long-term, leading to poor outcomes.* -
  • This study examined a machine learning model's ability to predict whether patients would stay in treatment (retention) or drop out (attrition) using electronic medical records and clinical notes.* -
  • The results showed the model could reasonably predict retention versus attrition, achieving an AUROC of 0.77 with combined data and 0.74 using only structured data from electronic records.*
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Background And Hypothesis: Schizophrenia and comorbid substance use disorders (SUDs) are associated with poor treatment outcomes but differences between the associations of different SUDs with clinical outcomes are poorly characterized. This study examines the associations of comorbid SUDs with clinical outcomes in schizophrenia using a largescale electronic health record (EHR) database.

Design: Real-world data (RWD) analysis using the NeuroBlu database; de-identified EHR data were analysed.

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Background: Digitization (using novel digital tools and strategies) and consumerism (taking a consumer-oriented approach) are increasingly commonplace in clinical trials, but the implications of these changes are not well described.

Methods: We assembled a group of trial experts from academia, industry, non-profit, and government to discuss implications of this changing trial landscape and provide guidance.

Results: Digitization and consumerism can increase the volume and diversity of trial participants and expedite recruitment.

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Background: Identifying patients most at risk of psychiatric hospitalisation is crucial to improving service provision and patient outcomes. Existing predictors focus on specific clinical scenarios and are not validated with real-world data, limiting their translational potential. This study aimed to determine whether early trajectories of Clinical Global Impression Severity are predictors of 6 month risk of hospitalisation.

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Importance: Autism detection early in childhood is critical to ensure that autistic children and their families have access to early behavioral support. Early correlates of autism documented in electronic health records (EHRs) during routine care could allow passive, predictive model-based monitoring to improve the accuracy of early detection.

Objective: To quantify the predictive value of early autism detection models based on EHR data collected before age 1 year.

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Objective: To assess the relationships of prenatal and childhood smoke exposure with specific neurodevelopmental and behavioral problems during early childhood.

Study Design: A subsample (n = 386) of mother-child dyads from the Newborn Epigenetic Study (NEST) prebirth cohort participated in the study. Cotinine concentrations were used to objectively measure prenatal and childhood smoke exposure when youth were aged 3-13 years.

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Attention-deficit/hyperactivity disorder (ADHD) symptoms affect 40-60% of autistic children and have been linked to differences in adaptive behavior. It is unclear whether adaptive behavior in autistic youth is directly impacted by co-occurring ADHD symptoms or by another associated feature of both autism and ADHD, such as increased irritability. The current study examined relationships between irritability, ADHD symptoms, and adaptive behavior in 3- to 7-year-old autistic children.

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Objective: Few studies of prescription stimulant non-oral, non-medical use (NMU) (defined by use not as prescribed) have been conducted in adults beyond the college population. The purpose of this study was to characterize prescription stimulant non-oral use, specifically intranasal (IN) use (snorting) in young adults.

Method: Amazon's MTurk platform was used to recruit participants for an online survey.

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Background/objectives: Sleep measures, such as duration and onset timing, are associated with adiposity outcomes among children. Recent research among adults has considered variability in sleep and wake onset times, with the Sleep Regularity Index (SRI) as a comprehensive metric to measure shifts in sleep and wake onset times between days. However, little research has examined regularity and adiposity outcomes among children.

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Purpose: NeuroBlu is a real-world data (RWD) repository that contains deidentified electronic health record (EHR) data from US mental healthcare providers operating the MindLinc EHR system. NeuroBlu enables users to perform statistical analysis through a secure web-based interface. Structured data are available for sociodemographic characteristics, mental health service contacts, hospital admissions, International Classification of Diseases ICD-9/ICD-10 diagnosis, prescribed medications, family history of mental disorders, Clinical Global Impression-Severity and Improvement (CGI-S/CGI-I) and Global Assessment of Functioning (GAF).

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As children age, they can learn increasingly complex features of environmental structure-a key prerequisite for adaptive decision-making. Yet when we tested children ( = 304, 4-13 years old) in the Children's Gambling Task, an age-appropriate variant of the Iowa Gambling Task, we found that age was negatively associated with performance. However, this paradoxical effect of age was found only in children who exhibited a maladaptive , a tendency to shift choices after positive outcomes and repeat choices after negative outcomes.

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Article Synopsis
  • ADHD is a complex disorder that starts in childhood and can continue into adulthood, with its causes and risk factors still not fully understood.
  • Using genetic data from GWAS, researchers identified 37 potential causal links between ADHD and various traits like obesity, iron deficiency anemia, and substance use, indicating a complex interplay of genetics.
  • The study suggests that genetic predispositions related to physical health conditions and social participation may influence the risk of developing ADHD, which could inform future clinical research and treatment approaches.
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To evaluate the efficacy and safety of once-daily serdexmethylphenidate/dexmethylphenidate (SDX/d-MPH) capsules (Azstarys) compared with placebo in children with attention-deficit/hyperactivity disorder (ADHD) in a randomized, double-blind, dose-optimized laboratory classroom study. Children ages 6-12 with ADHD were enrolled. During a 3-week, open-label, Dose Optimization Phase, subjects initiated treatment with 39.

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Study Objectives: Caffeine use is ubiquitous among adolescents and may be harmful to sleep, with downstream implications for health and development. Research has been limited by self-reported and/or aggregated measures of sleep and caffeine collected at a single time point. This study examines bidirectional associations between daily caffeine consumption and electroencephalogram-measured sleep among adolescents and explores whether these relationships depend on timing of caffeine use.

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