High Probability of Gene-Drug Interactions Associated with Medication Side Effects in Adolescent Depression: Results from a Randomized Controlled Trial of Pharmacogenetic Testing.

Introduction: Combinatorial pharmacogenetic testing panels are widely available in clinical practice and often separate medications into columns/bins associated with low, medium, or high probability of gene-drug interactions. The objective of the Adolescent Management of Depression (AMOD) study was to determine the clinical utility of combinatorial pharmacogenetic testing in a double-blind, randomized, controlled effectiveness study by comparing patients who had genetic testing results at time of medication initiation to those that did not have results until week 8. The objective of this post hoc analysis was to assess and report additional outcomes with respect to significant gene-drug interactions (i.e., a medication in the high probability gene-drug interaction bin as defined by a proprietary algorithm) compared with patients taking a medication with minimal to moderate gene-drug interactions (i.e., a medication from the low or medium probability gene-drug interaction bin, respectively). Methods: Adolescents 13-18 years (N = 170) with moderate to severe major depressive disorder received pharmacogenetic testing. Symptom improvement and side effects were assessed at baseline, week 4, week 8, and 6 months. Patients were grouped into three categories based on whether the medication they were prescribed was associated with low, medium, or high risk for gene-drug interactions. Patients taking a medication from the low/medium gene-drug interaction bin were compared with patients taking a medication from the high gene-drug interaction bin. Results: Patients taking a medication from the high gene-drug interaction bin were more likely to endorse side effects compared with patients taking a medication in the low/medium gene-drug interaction bin at week 8 (p = 0.001) and 6 months (p < 0.0001). Depressive symptom severity scores did not differ significantly across the medication bins. Conclusions: This study demonstrates the utility of gene-drug interaction testing to guide medication decisions to minimize side effect burden rather than solely prioritizing the search for the most efficacious medication. (Clinical Trials Registration Identifier: NCT02286440).

The Virtual Couch: a Curriculum on the Question of the Fundamentals of Remote Psychotherapy-Pilot Study.

OBJECTIVE: With a rise in remote clinical practice related to the COVID-19 pandemic, a novel remote psychotherapy curriculum was presented to psychiatry residents and fellows to address the urgent need to teach trainees how to adapt traditional psychotherapy skills to telepsychiatry settings. METHODS: Trainees completed a survey before and after receiving the curriculum to assess remote psychotherapy skills and areas for growth. RESULTS: Eighteen trainees (24% fellows, 77% residents) completed the pre-curriculum survey, and 28 trainees (26% fellows, 74% residents) completed the post-curriculum survey. Thirty-five percent of pre-curriculum participants indicated no experience with remote psychotherapy. Technology (24%) and patient engagement (29%) were identified as the greatest challenges in providing teletherapy pre-curriculum. Content related to patient care (69%) and technology (31%) was of most interest to pre-curriculum participants and identified as most helpful post-curriculum (53% and 26%, respectively). After receiving the curriculum, most trainees planned to make internal, provider-related changes to their remote teletherapy practice. CONCLUSIONS: The remote psychotherapy curriculum was well received by psychiatry trainees who had limited experience with remote clinical practice prior to the pandemic.

Machine Learning Identifies Smartwatch-Based Physiological Biomarker for Predicting Disruptive Behavior in Children: A Feasibility Study.

Objective: Parents frequently purchase and inquire about smartwatch devices to monitor child behaviors and functioning. This pilot study examined the feasibility and accuracy of using smartwatch monitoring for the prediction of disruptive behaviors. Methods: The study enrolled children (N = 10) aged 7-10 years hospitalized for the treatment of disruptive behaviors. The study team completed continuous behavioral phenotyping during study participation. The machine learning protocol examined severe behavioral outbursts (operationalized as episodes that preceded physical restraint) for preparing the training data. Supervised machine learning methods were trained with cross-validation to predict three behavior states-calm, playful, and disruptive. Results: The participants had a 90% adherence rate for per protocol smartwatch use. Decision trees derived conditional dependencies of heart rate, sleep, and motor activity to predict behavior. A cross-validation demonstrated 80.89% accuracy of predicting the child's behavior state using these conditional dependencies. Conclusion: This study demonstrated the feasibility of 7-day continuous smartwatch monitoring for children with severe disruptive behaviors. A machine learning approach characterized predictive biomarkers of impending disruptive behaviors. Future validation studies will examine smartwatch physiological biomarkers to enhance behavioral interventions, increase parental engagement in treatment, and demonstrate target engagement in clinical trials of pharmacological agents for young children.

Adult Outcomes of Children With Reactive Attachment Disorder in a Non-Institutionalized Sample.

Objective: Research on reactive attachment disorder (RAD) has focused on institutionalized samples, and long-term outcomes have not been described. This study examines the natural history of RAD into adulthood in a US community sample.Methods: The electronic medical record of a tertiary care center was reviewed for individuals who received an ICD-9 or ICD-10 diagnosis of RAD between 3-12 years old and were ≥ 18 years old at the start of the study; data were collected between February and June 2018. Children with RAD (n = 49) were identified and psychiatric, social, and medical outcomes were collected in childhood and adulthood. A subset of the RAD cohort with comorbid attention-deficit/hyperactivity disorder (ADHD) based on ICD codes (n = 34) was compared with age-matched controls with ADHD and without attachment disorders (n = 102).Results: Children with RAD had high rates of adult psychiatric diagnoses (73.5%), substance use (42.9%), suicide attempts (28.6%), and psychiatric hospitalizations (71.4%). They also demonstrated poor psychosocial outcomes, including low high school (34.7%) and college (2.0%) graduation, high unemployment (26.5%), state-funded health insurance (65.3%), and legal issues (34.7%). Compared to children with ADHD alone, children with RAD and ADHD had higher rates of comorbid adult psychiatric diagnoses (OR 3.0, P = .02), suicide attempts (OR 7.5, P < .01), and hospitalizations (OR 6.4, P < .01).Conclusions: This study describes the natural history of RAD into adulthood in a non-institutionalized sample. The findings suggest that children with RAD have a high burden of psychiatric comorbidities and reduced psychosocial functioning into adulthood that extend beyond the impairment associated with ADHD, a common comorbidity in RAD. These findings highlight the continuous impact of early attachment difficulties on the developmental trajectory of children.

Association between early childhood sleep difficulties and subsequent psychiatric illness.

STUDY OBJECTIVES: Chronic disruptions to sleep in childhood are associated with increased prevalence of psychiatric disease later in development. When sleep disruptions remit before adolescence, the increased prevalence of psychiatric disease is no longer observed, highlighting the importance of early detection and intervention. Clinicians typically rely on caregivers' reports for diagnosis and management of childhood sleep challenges. We examined whether findings on polysomnogram (PSG) can offer similar insight into childhood sleep difficulties and the risk of subsequent psychiatric illness. METHODS: A cohort was identified of 348 children ages 5 years 11 months and younger with sleep difficulties rising to the level of formal clinical workup. A retrospective review of caregiver-reported sleep concerns, PSG results, and subsequent psychiatric illness was completed. PSG findings were compared to presence of psychiatric illness later in life as well as caregivers' reported concerns. Chi-squared and Fisher's exact tests were completed to evaluate correlations and Cohen's kappa was used to evaluate agreement. RESULTS: With only a few exceptions, comparisons between clinician findings on PSG and subsequent psychiatric diagnoses were statistically nonsignificant. Similarly, the relationship between caregivers' subjective reports about sleep and clinicians' findings on PSG demonstrated only slight to fair agreement, suggesting reported concerns were not predictive of PSG results. CONCLUSIONS: Parental reports of subjective sleep concerns are indicative of different sleep pathologies compared to sleep pathologies detected on PSG. The addition of PSG to caregiver-reported data appears to have limited clinical utility in understanding sleep concerns associated with the risk of subsequent psychiatric illness in young children. CITATION: Pease E, Shekunov J, Savitz ST, et al. Association between early childhood sleep difficulties and subsequent psychiatric illness. J Clin Sleep Med. 2023;19(12):2059-2063.

The Association Between Parent and Child ACEs is Buffered by Forgiveness of Others and Self-Forgiveness.

The purpose of the present study was to examine intergenerational transmission of adverse childhood experiences (ACEs) from parents to children and examine the buffering influence of forgiveness of oneself and others. Participants were 150 parents and children enrolled in Head Start in an upper midwestern, rural state who volunteered to complete questionnaires measuring ACEs and levels of forgiveness of oneself and others. Multiple correlation and regression were used to examine the associations between parent-reported parent and child ACEs and self-forgiveness and forgiveness of others. Analyses revealed that parental ACEs and child ACEs were positively correlated. Parents with low and medium levels of self-forgiveness and forgiveness of others had a stronger positive correlation between their own experience of ACEs and their child's, whereas, for parents with high levels of self-forgiveness and forgiveness of others, the correlation between parent and child ACEs was reduced statistically to zero. The cycle of intergenerational transmission of ACEs may be interrupted, or at very least notably buffered, by forgiving oneself and others.

The Importance of Sibling Relationships for Children in Foster Care.

There are approximately 500,000 children in the foster care system in the United States of America. With exposure to chronic and cumulative trauma, they constitute a population with an increased risk of developing mental health concerns and adverse outcomes in later life, including contact with the forensic system. Legislative frameworks that have been developed to facilitate improved outcomes are outlined, although these vary between states, and the focus is often on the parental relationship. Several studies have emphasized the importance of sibling relationships and that placing siblings in the same foster home is associated with higher rates of placement stability, reunification, adoption and guardianship, and fostering positive sibling relations. The multifaceted role of the clinician in promoting recovery from trauma, enhancing resiliency, and thoughtfully prescribing and advocating for familial relationships is discussed.

Integrated Case Presentation Seminar: Bridging Parallel Fields to Improve Psychiatry and Psychology Learner Experience.

Daily clinical practice of mental health professionals often requires interaction between providers from diverse training and professional backgrounds. Efforts to engage mental health trainees across disciplines are necessary and have had varied outcomes. The current study reviews the development and implementation of a monthly one-hour integrated case presentation seminar (ICPS) as part of independent psychology and psychiatry two-year fellowships at a Midwestern teaching hospital. The training integrated a semi-structured seminar to facilitate case presentation within a group setting. The focus of the seminar was to allow for exposure to conceptualization, diagnostic, and treatment strategies and skills, as well as science-based practice techniques for trainees. Learner survey results and the sustained offering of the seminar suggest the format and goals of the seminar are feasible and acceptable. Based on the current preliminary findings, similar training programs may find benefit in strategies to enhance integrated training opportunities for psychiatry and psychology trainees.

PISTACHIo (PreemptIon of diSrupTive behAvior in CHIldren): real-time monitoring of sleep and behavior of children 3-7 years old receiving parent-child interaction therapy augment with artificial intelligence - the study protocol, pilot study.

BACKGROUND: Emotional behavior problems (EBP) are the most common and persistent mental health issues in early childhood. Early intervention programs are crucial in helping children with EBP. Parent-child interaction therapy (PCIT) is an evidence-based therapy designed to address personal difficulties of parent-child dyads as well as reduce externalizing behaviors. In clinical practice, parents consistently struggle to provide accurate characterizations of EBP symptoms (number, timing of tantrums, precipitating events) even from the week before in their young children. The main aim of the study is to evaluate feasibility of the use of smartwatches in children aged 3-7 years with EBP. METHODS: This randomized double-blind controlled study aims to recruit a total of 100 participants, consisting of 50 children aged 3-7 years with an EBP measure rated above the clinically significant range (T-score ≥ 60) (Eyberg Child Behavior Inventory-ECBI; Eyberg & Pincus, 1999) and their parents who are at least 18 years old. Participants are randomly assigned to the artificial intelligence-PCIT group (AI-PCIT) or the PCIT-sham biometric group. Outcome parameters include weekly ECBI and Pediatric Sleep Questionnaire (PSQ) as well as Child Behavior Checklist (CBCL) obtained weeks 1, 6, and 12 of the study. Two smartphone applications (Garmin connect and mEMA) and a wearable Garmin smartwatch are used collect the data to monitor step count, sleep, heart rate, and activity intensity. In the AI-PCIT group, the mEMA application will allow for the ecological momentary assessment (EMA) and will send behavioral alerts to the parent. DISCUSSION: Real-time predictive technologies to engage patients rely on daily commitment on behalf of the participant and recurrent frequent smartphone notifications. Ecological momentary assessment (EMA) provides a way to digitally phenotype in-the-moment behavior and functioning of the parent-child dyad. One of the study's goals is to determine if AI-PCIT outcomes are superior in comparison with standard PCIT. Overall, we believe that the PISTACHIo study will also be able to determine tolerability of smartwatches in children aged 3-7 with EBP and could participate in a fundamental shift from the traditional way of assessing and treating EBP to a more individualized treatment plan based on real-time information about the child's behavior. TRIAL REGISTRATION: The ongoing clinical trial study protocol conforms to the international Consolidated Standards of Reporting Trials (CONSORT) guidelines and is registered in clinicaltrials.gov (ID: NCT05077722), an international clinical trial registry.

Reactions to naturalistic smartphone deprivation among psychiatrically hospitalized adolescents.

The standard of care among youth who are psychiatrically hospitalized typically involves smartphone confiscation for the duration of treatment. However, very little is known regarding how youth respond to this period of smartphone "deprivation," factors that may influence this response, and ensuing clinical effects. The present exploratory mixed-methods study sought to elucidate the experience of psychiatrically hospitalized adolescents as it relates to smartphone deprivation, and to evaluate the impact of this widespread treatment approach. Psychiatrically hospitalized adolescents (N = 181; Mean age = 15.29 years) completed qualitative and quantitative measures assessing the experience of smartphone deprivation during hospitalization. Associations among reactions to smartphone deprivation and smartphone and social media use patterns were explored. Analyses additionally evaluated whether reactions to smartphone deprivation were associated with clinical symptom severity (e.g., suicidal ideation, internalizing and externalizing symptoms) and readiness for psychotherapy. Negative reactions to smartphone deprivation were significantly positively correlated with daily smartphone hours, addictive patterns of use, and both negative and positive emotional responses to social media use. Reactions to smartphone deprivation were not associated with clinical symptom severity. However, negative reactions to smartphone deprivation were associated with lower readiness for therapy, while positive reactions were associated with greater readiness. This preliminary work illustrates the complexities of smartphone use in adolescents and the potential positive and negative effects of smartphone deprivation during psychiatric hospitalization. Future prospective research with adolescents should clarify optimal smartphone access during inpatient hospitalization.

A Systematic Review of the Safety and Tolerability of Theta Burst Stimulation in Children and Adolescents.

OBJECTIVES: Theta burst stimulation (TBS) is often used in clinical practice and research protocols for adults with neuropsychiatric disorders. There are substantial knowledge gaps related to the application of TBS in children and adolescents. This systematic review examined the safety and tolerability of TBS in children and adolescents. MATERIALS AND METHODS: A systematic review of human TBS studies in children and adolescents was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The following inclusion criteria were applied: 1) articles in English language only; 2) studies that included child and adolescent participants (up to 21 years of age); 3) studies that administered intermittent TBS or continuous TBS or both to participants; 4) studies that had an outcome measure; and 5) availability of full text material. The primary outcome measures were tolerability and safety. When feasible, the clinical effects were reviewed. RESULTS: Twenty relevant articles met the criteria for inclusion. The reported adverse events were mild and similar to what is noted in adult studies. The most common symptom was headache. One case report described a seizure induced by TBS. Collectively, the studies were heterogeneous but the methodologic quality of randomized trials was high. CONCLUSIONS: TBS interventions in children may have similar safety, tolerability, and feasibility as compared to adults. However, long-term, follow-up studies of TBS are lacking. Future dose-ranging studies with systematic assessment of adverse events will be important in the translation of findings with TBS from adults to youth.

Use of Mobile and Wearable Artificial Intelligence in Child and Adolescent Psychiatry: Scoping Review.

BACKGROUND: Mental health disorders are a leading cause of medical disabilities across an individual's lifespan. This burden is particularly substantial in children and adolescents because of challenges in diagnosis and the lack of precision medicine approaches. However, the widespread adoption of wearable devices (eg, smart watches) that are conducive for artificial intelligence applications to remotely diagnose and manage psychiatric disorders in children and adolescents is promising. OBJECTIVE: This study aims to conduct a scoping review to study, characterize, and identify areas of innovations with wearable devices that can augment current in-person physician assessments to individualize diagnosis and management of psychiatric disorders in child and adolescent psychiatry. METHODS: This scoping review used information from the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. A comprehensive search of several databases from 2011 to June 25, 2021, limited to the English language and excluding animal studies, was conducted. The databases included Ovid MEDLINE and Epub ahead of print, in-process and other nonindexed citations, and daily; Ovid Embase; Ovid Cochrane Central Register of Controlled Trials; Ovid Cochrane Database of Systematic Reviews; Web of Science; and Scopus. RESULTS: The initial search yielded 344 articles, from which 19 (5.5%) articles were left on the final source list for this scoping review. Articles were divided into three main groups as follows: studies with the main focus on autism spectrum disorder, attention-deficit/hyperactivity disorder, and internalizing disorders such as anxiety disorders. Most of the studies used either cardio-fitness chest straps with electrocardiogram sensors or wrist-worn biosensors, such as watches by Fitbit. Both allowed passive data collection of the physiological signals. CONCLUSIONS: Our scoping review found a large heterogeneity of methods and findings in artificial intelligence studies in child psychiatry. Overall, the largest gap identified in this scoping review is the lack of randomized controlled trials, as most studies available were pilot studies and feasibility trials.

Impact of Parental Adverse Childhood Experiences on Offspring Development in Early Head Start: Parental Adversity and Offspring Development.

Adverse childhood experiences (ACEs) are potentially traumatic events that can cause lifelong suffering, with 1 out of 2 children in the United States experiencing at least 1 ACEs. The intergenerational effect of ACEs has been described, but there's still paucity of knowledge of its impact on child development and behavior in children enrolled in Early Head Start (EHS) home visiting programs. A retrospective observational study was performed with 71 parents and 92 children participating in the EHS Home Visiting Program in Olmsted County from 2014 to 2019. Parents reported their own ACEs using a 10-item questionnaire. Children's social-emotional status was evaluated with Devereux Early Childhood Assessment Second Edition (DECA) and development was evaluated using the Brigance Early Childhood Screens III. Referrals of children by EHS staff to community agencies were recorded. The association between parental ACEs score, developmental outcomes and referrals was analyzed. Parental ACEs score of 4 or more was associated with failing at least 1 domain on the Brigance screen (P = .02) especially adaptive/cognitive domain (P = .05), and increased risk of referral to community resources (P < .001). However, there was no association between ACEs scores and failing DECA screens. We identified an intergenerational association between parental exposure to ACEs and risk for childhood developmental delay and referrals to community services. Parental adverse childhood experiences (ACEs) have intergenerational effects on offspring. In our study, parental ACEs are associated with offspring developmental delays and referral to community resources. Screening for parental adverse childhood experiences, a key social determinant of health, is imperative and should be incorporated into primary care and early childhood settings to identify children at risk for developmental delay.

One-Year Prospective Association of BMI with Later Cognitive Development in Preschoolers.

This study examined the prospective relationships between preschoolers' body mass index (BMI) and cognitive development. BMI, cognitive (i.e., Brigance), sex, and age data were collected from seven cohorts of children attending Head Start from 2012 to 2018. Children (N = 324) with two years of complete data were included. After controlling for the first year cognitive development scores, age, gender, and the cohort, the BMI was predictive of lower cognitive development scores in year two (B = -0.06, ß = -0.14, t = -3.19, p = 0.002). Female sex (B = 2.69, ß = 0.10, t = 2.30, p = 0.022) and older age (B = 0.02, ß = 0.15, t = 3.20, p ≤ 0.001) were also shown to be statistically significant predictors of improved year two cognitive scores. The initial BMI scores were associated with poorer one year cognitive development scores in this sample of preschool children. Excessive body mass may contribute to numerous biological, psychological, and social factors that inhibit children with obesity from reaching their full cognitive potential, during a time in which brain development and cognitive skills development are at critical points of growth. Early childhood obesity interventions may have positive consequences for cognitive development, but additional prospective studies are needed to confirm these results.

Evidence for machine learning guided early prediction of acute outcomes in the treatment of depressed children and adolescents with antidepressants.

BACKGROUND: The treatment of depression in children and adolescents is a substantial public health challenge. This study examined artificial intelligence tools for the prediction of early outcomes in depressed children and adolescents treated with fluoxetine, duloxetine, or placebo. METHODS: The study samples included training datasets (N = 271) from patients with major depressive disorder (MDD) treated with fluoxetine and testing datasets from patients with MDD treated with duloxetine (N = 255) or placebo (N = 265). Treatment trajectories were generated using probabilistic graphical models (PGMs). Unsupervised machine learning identified specific depressive symptom profiles and related thresholds of improvement during acute treatment. RESULTS: Variation in six depressive symptoms (difficulty having fun, social withdrawal, excessive fatigue, irritability, low self-esteem, and depressed feelings) assessed with the Children's Depression Rating Scale-Revised at 4-6 weeks predicted treatment outcomes with fluoxetine at 10-12 weeks with an average accuracy of 73% in the training dataset. The same six symptoms predicted 10-12 week outcomes at 4-6 weeks in (a) duloxetine testing datasets with an average accuracy of 76% and (b) placebo-treated patients with accuracies of 67%. In placebo-treated patients, the accuracies of predicting response and remission were similar to antidepressants. Accuracies for predicting nonresponse to placebo treatment were significantly lower than antidepressants. CONCLUSIONS: PGMs provided clinically meaningful predictions in samples of depressed children and adolescents treated with fluoxetine or duloxetine. Future work should augment PGMs with biological data for refined predictions to guide the selection of pharmacological and psychotherapeutic treatment in children and adolescents with depression.

Measuring patient satisfaction in an outpatient psychiatric clinic. What factors play a role?

INTRODUCTION: Patient satisfaction is defined as the perception that one's general health care needs are being met. Prior research suggests that positive patient satisfaction with health care facilitates the physician-patient relationship and enhances quality of life. OBJECTIVE: The primary purpose of this study was to assess patient satisfaction (as measured by the Patient Satisfaction Questionnaire (PSQ-18)) of patients observed by general psychiatry residents and to examine the effects of depression and anxiety on patient satisfaction. A secondary purpose was to explore the effects of three 1-h mentalization-based skills training sessions on the PSQ-18 scores of psychiatric residents. We hypothesized that depressive and anxiety symptoms would negatively impact patient satisfaction. We hypothesized that patients' satisfaction scores would improve after mentalization training. METHODS: This was a prospective case-controlled study, enrolling adult patients (n = 157) referred for psychiatric assessment in a psychiatric resident outpatient clinic. The primary outcome was patient satisfaction as measured by the PSQ-18. This outcome was compared to anxiety and depression symptoms as measured by the Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder 7-Item scale (GAD-7) questionnaires. Outcome data from the PSQ-18 were compared among residents before and after they completed mentalization training. The data were analyzed with univariate analyses and multiple linear regression. RESULTS: Overall the patients were satisfied with clinician communication and interpersonal manner (4.21 ± 0.66 and 4.15 ± 0.69, respectively). The patients score on PHQ-9 was inversely related to their scores on time spent (TS) (p = 0.01) and accessibility/convenience (AC) (p = 0.0009) subscales of the PSQ-18. GAD-7 score was inversely related to patients scores on AC subscale (p = 0.01). Brief mentalization training for the providers did not impact patient satisfaction scores. CONCLUSIONS: Our study reveals that depression and anxiety can negatively impact PSQ-18 patient scoring in psychiatric outpatients observed for the first time in a resident clinic. However, this study failed to show that a brief mentalization-based training could improve patient satisfaction scores that were already quite high at baseline.

A Randomized Controlled Trial of Combinatorial Pharmacogenetics Testing in Adolescent Depression.

OBJECTIVE: Numerous commercial pharmacogenetics panels are now widely available for clinical use in psychiatric practice. However, there is a paucity of literature evaluating the use of combinatorial pharmacogenetics panels to enhance outcomes in the treatment of adolescents with depression. This study sought to prospectively evaluate the clinical impact of combinatorial pharmacogenetics testing in a double-blind, randomized, controlled effectiveness study for the pharmacologic treatment of adolescents with depression. METHOD: Adolescents aged 13 to 18 years (N = 176) with moderate to severe major depressive disorder (MDD) were randomized to treatment arm guided by testing in which pharmacogenetic testing results were available at the baseline visit (GENE arm, n = 84) or a treatment-as-usual arm (TAU arm, n = 92) in which testing results were not available until an 8-week visit. Raters, participants, and families were blinded to group allocation. Symptom improvement, side effects, and satisfaction were assessed throughout the study at 4 weeks, 8 weeks, and 6 months. RESULTS: There were no differences between the GENE and TAU arms at 8 weeks or 6 months for symptom improvement, side effect burden, or satisfaction. Selective serotonin reuptake inhibitors were prescribed at higher rates in the TAU arm compared to the GENE arm (p = .024). CONCLUSION: Combinatorial pharmacogenetics-guided treatment did not demonstrate improved outcomes compared to TAU in adolescents with MDD. Future research should examine how specific medication-gene pairs may affect clinical outcomes in the treatment of adolescents with depression and how best to integrate pharmacogenetics into clinical practice. CLINICAL TRIAL REGISTRATION INFORMATION: A PK/PD Genetic Variation Treatment Algorithm Versus Treatment As Usual for Adolescent Management Of Depression; https://www.clinicaltrials.gov; NCT02286440.

Internet parent-child interaction therapy (I-PCIT) in medically ill child: A case report.

INTRODUCTION: This case illustrates the feasibility, benefit, and putative enhanced ecological validity of performing internet-parent-child interaction therapy (I-PCIT) in the parent-child dyad's home for the treatment of behavior problems in medically ill children in the context of a global pandemic. PATIENT CONCERNS: Parents of a 5-year-old girl initially presented with concerns regarding inattentiveness, physical and verbal fighting with her siblings, and getting kicked out of daycare for hitting another child. Patient also had difficulties sleeping at night. DIAGNOSES: Patient was diagnosed with electrical status epilepticus in sleep, frontal lobe executive function deficit, and attention deficit hyperactivity disorder. INTERVENTIONS: Patient received a course of I-PCIT. Equipment included a cell phone with video capabilities connected to a videotelephony software program and set-up in the child's home by the parents. The treatment course included 8, 1-hour, weekly teaching/coaching sessions (7 of which were performed using I-PCIT) plus 1 follow-up booster session 6 months later. OUTCOMES: Home-based I-PCIT implementation greatly improved disruptive behaviors in a young child with electrical status epilepticus in sleep and attention deficit hyperactivity disorder. CONCLUSION: A combination of I-PCIT and methylphenidate allowed her to be successful at home and in a school setting. More research is needed on PCIT adaptations, such as home-based and internet-based PCIT, for medically ill children as well as treatment protocols for combined therapies.

Childhood psychiatric outcomes in the context of suspected neglect and abuse reports related and unrelated to parental substance use.

BACKGROUND: Child maltreatment is prevalent in the United States and carries long-term consequences. Parental substance use may have associations with child maltreatment. It is unclear whether co-occurring parental substance use aggravates childhood psychiatric outcomes related to suspected maltreatment. OBJECTIVE: To compare psychiatric and healthcare utilization outcomes in children with suspected abuse reports, with and without documented parental substance use. PARTICIPANTS AND SETTING: Retrospective cohort study (n = 2831) of children with suspected abuse/neglect (SANC) reports filed in the electronic health record between January 1, 2000 and January 1, 2016. Children who had SANC reports referencing parental substance use (n = 458) were compared with those who had SANC reports that did not reference substance use (n = 2346). METHODS: Outcome data included ICD-10 coded medical and psychiatric diagnoses and healthcare utilization. RESULTS: Compared to children who had a SANC report filed without parental substance use, children with parental substance use in a SANC showed significantly lower age-adjusted odds of anxiety disorder, mood disorder and externalizing disorder, and higher odds of a substance use disorder diagnosis. They were also less likely to present to an emergency department visit for any reason in the year prior to the report. CONCLUSIONS: Children with exposure to parental substance use in a household where parental abuse or neglect was suspected had lower odds of adverse psychiatric outcomes as compared to children with suspected report of abuse or neglect unrelated to parental substance use. The present findings highlight the complex interplay of psychosocial factors associated with outcomes of childhood maltreatment.