Socio-economic status, functioning and cognition in young versus adult patients newly diagnosed with bipolar disorder and their unaffected relatives; results from a cross-sectional study.

BACKGROUND: Bipolar disorders (BD) figures on top of the World Health Organization classification of disabling disorders. It is unclear if there are socioeconomic, functioning, and cognition differences in young patients newly diagnosed with BD and whether these are different for young and adult patients newly diagnosed with BD. Understanding these differences is important for tailored treatment and support. METHODS: Participant groups included 401 patients newly diagnosed with BD, 145 of their unaffected first-degree relatives (UR) and 209 healthy control individuals (HC). First, we compared socio-economic status, functioning and cognition between young patients newly diagnosed with BD (150), UR (61) and HC (92) (15-25 years) and adult patients newly diagnosed with BD (251), UR (84) and HC (117) (>25 years), respectively. Second, within patients, we compared functioning and cognition between young and adult patients newly diagnosed with BD. RESULTS: In both participant groups, patients newly diagnosed with BD, and to a lesser degree UR, had lower socio-economic status and impaired functioning and cognition compared with HC. Further, young patients newly diagnosed with BD were less functionally impaired, than adults newly diagnosed with BD, whereas cognition did not differ between groups. LIMITATIONS: Applied tools for assessments of functioning and cognition are not validated below age 18. CONCLUSIONS: Overall, lower socio-economic status and impaired functioning and cognition were found both in young and adult patients newly diagnosed with BD and their UR compared with young and adult HC, respectively. Young patients were less functionally impaired than adults, but cognition was similarly impaired.

Do psychotic experiences act as effect modifiers in youths with common mental health problems allocated to transdiagnostic cognitive behavioural therapy versus management as usual? Secondary analyses of the Mind-My-Mind randomized trial.

BACKGROUND: Psychotic experiences (PEs) are common in help-seeking youths with non-psychotic mental health problems, yet the clinical importance of PEs as potential effect modifiers of psychotherapy interventions has been scarcely examined. We examined if PEs were associated with a differential response to transdiagnostic cognitive behavioural therapy (CBT) aimed at common emotional and behavioural problems. METHODS: We present secondary analyses from the Mind My Mind (MMM) trial that randomized 396, 6-16-year-old youths to either 9-13 sessions of transdiagnostic modular community-based CBT (MMM) or community-based management as usual (MAU). MMM was superior to MAU in reducing parent-reported impact of mental health problems according to the Strengths and Difficulties Questionnaire (SDQ). PEs were assessed by semi-structured screening interviews at baseline. The contrast between subgroups (presence/absence of PEs) was calculated to test if PEs are potential effect modifiers regarding the change in parent-reported SDQ-impact (primary outcome, rated 0[low]-10[high]) and other SDQ-related outcomes. RESULTS: Baseline PEs were present in 74 (19%) of youths. The superior effect of MMM on changes in SDQ-impact from baseline to week 18 was not effect modified by the presence of PEs (PEs[yes] -0.89 [95%CI -1.77;-0.01] vs. PEs[no] -1.10 [95%CI -1.52;-0.68], p-value for interaction .68). For secondary outcomes similar patterns were observed. Limitations Statistical power was limited to show if PEs modified treatment response. Replication and meta-analytic evidence are needed. CONCLUSIONS: The beneficial effects of MMM transdiagnostic CBT did not differ by PE-status, indicating that youths with emotional and behavioural problems could be offered such psychotherapy irrespective of co-occurring PEs.

Dimensional profiling of psychopathology in children and adolescents based on the K-SADS-PL and an analysis of the construct validity of two ADHD symptom dimensions.

OBJECTIVES: The traditional view on psychiatric disorders as categorical and distinct is being challenged by perspectives emphasizing the relevance of dimensional and transdiagnostic assessment. However, most diagnostic instruments are based on a categorical view with a threshold-approach to disease classification. METHODS: We here describe algorithms for dimensionalizing the psychopathological ratings of the widely used diagnostic interview for children and adolescents, the Kiddie-Schedule for Affective Disorders and Schizophrenia - Present and Lifetime Version (K-SADS-PL). We further evaluate the criterion-related construct validity of the dimensionalized attention-deficit/hyperactivity disorder (ADHD) scales using Rasch models in a sample of 590 children (mean age 10.29 (.36), 49% girls). RESULTS: The algorithms generate scores of current symptom load, i.e., the sum of clinician-rated symptoms within each disorder assessed with the interview. We found support for counting symptoms of inattention and hyperactivity/impulsivity, respectively, but not for a single combined ADHD scale. CONCLUSIONS: The algorithms constitute an initial step in creating a framework for clinician-rated dimensional analyses of symptoms derived from the K-SADS-PL, but future studies are needed to further evaluate the construct validity of the remaining scales and the reliability and clinical utility of the method. We believe that our proposed algorithms offer a novel method of dimensional psychopathological assessment, which can be applied in multiple branches of child and adolescent psychiatry.

Clinical and sociodemographic features in offspring aged 0-3 years of mothers with schizophrenia spectrum disorders. A descriptive cross-sectional study.

OBJECTIVE: Offspring of parents with schizophrenia spectrum disorders (SSD) have an increased risk of neurodevelopmental disturbances. However, the ability to provide very early interventions to support these children and their families requires profound knowledge regarding characteristic features of both the parents and their offspring. Information on this subject is currently sparse. The aim of the present study is to investigate clinical and sociodemographic variables in offspring in the age range of 0-3 years of mothers diagnosed with SSD. METHODS: The study is descriptive with a cross-sectional design and includes parent-child dyads consisting of mothers diagnosed with SSD (ICD-10: F20-29) and their offspring aged 0-3 years, who were referred for examination and intervention at the infant and toddler psychiatric units, at the Mental Health Services, Capital Region, Copenhagen University Hospitals in two locations (Bispebjerg and Glostrup). Clinical and sociodemographic data were extracted from the Copenhagen "Infant Psychiatric Database" and processed by descriptive analysis. RESULTS: Out of 95 parent-child dyads considered for the study population, 85 were included. 27.8% of the mothers had psychiatric comorbidities, and 18.9% of the fathers had a psychiatric diagnosis at the time of investigation. Of the children, 89.7% were born full term (≥37th week) and most of them had a birth weight of ≥2500 g (81.8%). Of the mothers, 50% had experienced pregnancy complications of varying severity. Birth complications were seen in 62.9% of the dyads. Psychopathology was identified in 50% of the children at age 0-3 years, and 62.2% of the parent-child dyads appeared to have an affected relationship. CONCLUSION: Results show widespread psychopathology in offspring aged 0-3 years of mothers with SSD. Moreover, several psychosocial stressors, clinical parental features, and relational disturbances are identified. These results contribute to a better understanding and identification of early risk markers of long-term psychopathology in this infant patient group, and hence serve as potential targets for early interventions.

Psychopharmacology in children and adolescents: unmet needs and opportunities.

Psychopharmacological treatment is an important component of the multimodal intervention approach to treating mental health conditions in children and adolescents. Currently, there are many unmet needs but also opportunities, alongside possible risks to consider, regarding the pharmacological treatment of mental health conditions in children and adolescents. In this Position Paper, we highlight and address these unmet needs and opportunities, including the perspectives of clinicians and researchers from the European College of Neuropsychopharmacology-Child and Adolescent Network, alongside those of experts by lived experience from national and international associations, via a survey involving 644 participants from 13 countries, and of regulators, through representation from the European Medicines Agency. We present and discuss the evidence base for medications currently used for mental disorders in children and adolescents, medications in the pipeline, opportunities in the development of novel medications, crucial priorities for the conduct of future clinical studies, challenges and opportunities in terms of the regulatory and legislative framework, and innovations in the way research is conducted, reported, and promoted.

Predicting Obsessive-Compulsive Disorder Events in Children and Adolescents in the Wild using a Wearable Biosensor (Wrist Angel): Protocol for the Analysis Plan of a Nonrandomized Pilot Study.

BACKGROUND: Physiological signals such as heart rate and electrodermal activity can provide insight into an individual's mental state, which are invaluable information for mental health care. Using recordings of physiological signals from wearable devices in the wild can facilitate objective monitoring of symptom severity and evaluation of treatment progress. OBJECTIVE: We designed a study to evaluate the feasibility of predicting obsessive-compulsive disorder (OCD) events from physiological signals recorded using wrist-worn devices in the wild. Here, we present an analysis plan for the study to document our a priori hypotheses and increase the robustness of the findings of our planned study. METHODS: In total, 18 children and adolescents aged between 8 and 16 years were included in this study. Nine outpatients with an OCD diagnosis were recruited from a child and adolescent mental health center. Nine youths without a psychiatric diagnosis were recruited from the catchment area. Patients completed a clinical interview to assess OCD severity, types of OCD, and number of OCD symptoms in the clinic. Participants wore a biosensor on their wrist for up to 8 weeks in their everyday lives. Patients were asked to press an event tag button on the biosensor when they were stressed by OCD symptoms. Participants without a psychiatric diagnosis were asked to press this button whenever they felt really scared. Before and after the 8-week observation period, participants wore the biosensor under controlled conditions of rest and stress in the clinic. Features are extracted from 4 different physiological signals within sliding windows to predict the distress event logged by participants during data collection. We will test the prediction models within participants across time and multiple participants. Model selection and estimation using 2-layer cross-validation are outlined for both scenarios. RESULTS: Participants were included between December 2021 and December 2022. Participants included 10 female and 8 male participants with an even sex distribution between groups. Patients were aged between 10 and 16 years, and adolescents without a psychiatric diagnosis were between the ages of 8 and 16 years. Most patients had moderate to moderate to severe OCD, except for 1 patient with mild OCD. CONCLUSIONS: The strength of the planned study is the investigation of predictions of OCD events in the wild. Major challenges of the study are the inherent noise of in-the-wild data and the lack of contextual knowledge associated with the recorded signals. This preregistered analysis plan discusses in detail how we plan to address these challenges and may help reduce interpretation bias of the upcoming results. If the obtained results from this study are promising, we will be closer to automated detection of OCD events outside of clinical experiments. This is an important tool for the assessment and treatment of OCD in youth. TRIAL REGISTRATION: ClinicalTrials.gov NCT05064527; https://clinicaltrials.gov/study/NCT05064527. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/48571.

Atypical neurocognitive functioning in children and adolescents with obsessive-compulsive disorder (OCD).

Atypical neurocognitive functioning has been found in adult patients with obsessive-compulsive disorder (OCD). However, little work has been done in children and adolescents with OCD. In this study, we investigated neurocognitive functioning in a large and representative sample of newly diagnosed children and adolescents with OCD compared to non-psychiatric controls. Children and adolescents with OCD (n = 119) and non-psychiatric controls (n = 90) underwent psychopathological assessment, intelligence testing, and a neurocognitive test battery spanning cognitive flexibility, planning and decision-making, working memory, fluency, and processing speed. The MANOVA main effect revealed that children and adolescents with OCD performed significantly worse than the control group (p < .001, [Formula: see text] = 0.256). Atypical patient performance was particularly found for indices of cognitive flexibility, decision-making, working memory, and processing speed. We found no evidence of differences in planning or fluency. Moreover, we found no significant associations between neurocognitive performance and OCD symptom severity or comorbidity status. Our results indicate that children and adolescents with OCD show selective atypical neurocognitive functioning. These difficulties do not appear to drive their OCD symptoms. However, they may contribute to lifespan difficulties and interfere with treatment efficacy, an objective of our research currently.

The Impact of Parental Mental Health Diagnoses, Trauma, and Coping Mechanisms on Their Children's Well-Being.

The transgenerational effects of parental diagnoses, trauma and coping mechanisms on children's internalizing symptoms are not well understood. In a population-based study of 933 families combining data from a web-based survey and the Danish registers, we used an online survey of parents to examine how parental diagnoses, trauma and coping mechanisms affect the development of internalizing symptoms in children aged 6 to 18 years. To account for attrition, we used inverse probability weights in our regression models. Children of parents diagnosed with depression or anxiety displayed more internalizing symptoms than children of controls. Similarly, children of parents who experienced multiple trauma had significantly more internalizing symptoms. In contrast, we observed significantly fewer internalizing symptoms among children of parents who felt they could cope well. The protective effect of parental coping persisted even after adjusting for parental diagnoses or trauma. Interventions boosting parental coping mechanisms might help to prevent the development of internalizing symptoms in children even among patients who have been diagnosed with depression or anxiety or experienced a high trauma load.

Predicting obsessive-compulsive disorder episodes in adolescents using a wearable biosensor-A wrist angel feasibility study.

Introduction: Obsessive-compulsive disorders (OCD) are marked by distress, negative emotions, mental processes and behaviors that are reflected in physiological signals such as heart rate, electrodermal activity, and skin temperature. Continuous monitoring of physiological signals associated with OCD symptoms may make measures of OCD more objective and facilitate close monitoring of prodromal symptoms, treatment progress and risk of relapse. Thus, we explored the feasibility of capturing OCD events in the real world using an unobtrusive wrist worn biosensor and machine learning models. Methods: Nine adolescents (ages 10-17 years) with mild to moderate-severe OCD were recruited from child and adolescent mental health services. Participants were asked to wear the biosensor in the lab during conditions of rest and exposure to OCD symptom-triggering stimuli and for up to 8 weeks in their everyday lives and register OCD events. We explored the relationships among physiological data, registered OCD events, age, OCD symptom severity and symptom types. In the machine learning models, we considered detection of OCD events as a binary classification problem. A nested cross-validation strategy with either random 10-folds, leave-one-subject-out, or leave-week(s)-out in both layers was used. We compared the performance of four models: logistic regression, random forest (RF), feedforward neural networks, and mixed-effect random forest (MERF). To explore the ability of the models to detect OCD events in new patients, we assessed the performance of participant-based generalized models. To explore the ability of models to detect OCD events in future, unseen data from the same patients, we compared the performance of temporal generalized models trained on multiple patients with personalized models trained on single patients. Results: Eight of the nine participants collected biosensor signals totaling 2, 405 h and registered 1, 639 OCD events. Better performance was obtained when generalizing across time compared to across patients. Generalized temporal models trained on multiple patients were found to perform better than personalized models trained on single patients. RF and MERF models outperformed the other models in terms of accuracy in all cross-validation strategies, reaching 70% accuracy in random and participant cross-validation. Conclusion: Our pilot results suggest that it is possible to detect OCD episodes in the everyday lives of adolescents using physiological signals captured with a wearable biosensor. Large scale studies are needed to train and test models capable of detecting and predicting episodes. Clinical trial registration: ClinicalTrials.gov: NCT05064527, registered October 1, 2021.

Adverse events in cognitive behavioral therapy and relaxation training for children and adolescents with obsessive-compulsive disorder: A mixed methods study and analysis plan for the TECTO trial.

Background: Knowledge on adverse events in psychotherapy for youth with OCD is sparse. No official guidelines exist for defining or monitoring adverse events in psychotherapy. Recent recommendations call for more qualitative and quantitative assessment of adverse events in psychotherapy trials. This mixed methods study aims to expand knowledge on adverse events in psychotherapy for youth with OCD. Methods: This is an analysis plan for a convergent mixed methods study within a randomized clinical trial (the TECTO trial). We include at least 128 youth aged 8-17 years with obsessive-compulsive disorder (OCD). Participants are randomized to either family-based cognitive behavioral therapy (FCBT) or family-based psychoeducation and relaxation training (FPRT). Adverse events are monitored quantitatively with the Negative Effects Questionnaire. Furthermore, we assess psychiatric symptoms, global functioning, quality of life, and family factors to investigate predictors for adverse events. We conduct semi-structured qualitative interviews with all youths and their parents on their experience of adverse events in FCBT or FPRT. For the mixed methods analysis, we will merge 1) a qualitative content analysis with descriptive statistics comparing the types, frequencies, and severity of adverse events; 2) a qualitative content analysis of the perceived causes for adverse events with prediction models for adverse events; and 3) a thematic analysis of the participants' treatment evaluation with a correlational analysis of adverse events and OCD severity. Discussion: The in-depth mixed methods analysis can inform 1) safer and more effective psychotherapy for OCD; 2) instruments and guidelines for monitoring adverse events; and 3) patient information on potential adverse events. The main limitation is risk of missing data. Trial registration: ClinicalTrials.gov identifier: NCT03595098. Registered on July 23, 2018.

A Wearable Artificial Intelligence Feedback Tool (Wrist Angel) for Treatment and Research of Obsessive Compulsive Disorder: Protocol for a Nonrandomized Pilot Study.

BACKGROUND: Obsessive compulsive disorder (OCD) in youth is characterized by behaviors, emotions, physiological reactions, and family interaction patterns. An essential component of therapy involves increasing awareness of the links among thoughts, emotions, behaviors, bodily sensations, and family interactions. An automatic assessment tool using physiological signals from a wearable biosensor may enable continuous symptom monitoring inside and outside of the clinic and support cognitive behavioral therapy for OCD. OBJECTIVE: The primary aim of this study is to evaluate the feasibility and acceptability of using a wearable biosensor to monitor OCD symptoms. The secondary aim is to explore the feasibility of developing clinical and research tools that can detect and predict OCD-relevant internal states and interpersonal processes with the use of speech and behavioral signals. METHODS: Eligibility criteria for the study include children and adolescents between 8 and 17 years of age diagnosed with OCD, controls with no psychiatric diagnoses, and one parent of the participating youths. Youths and parents wear biosensors on their wrists that measure pulse, electrodermal activity, skin temperature, and acceleration. Patients and their parents mark OCD episodes, while control youths and their parents mark youth fear episodes. Continuous, in-the-wild data collection will last for 8 weeks. Controlled experiments designed to link physiological, speech, behavioral, and biochemical signals to mental states are performed at baseline and after 8 weeks. Interpersonal interactions in the experiments are filmed and coded for behavior. The films are also processed with computer vision and for speech signals. Participants complete clinical interviews and questionnaires at baseline, and at weeks 4, 7, and 8. Feasibility criteria were set for recruitment, retention, biosensor functionality and acceptability, adherence to wearing the biosensor, and safety related to the biosensor. As a first step in learning the associations between signals and OCD-related parameters, we will use paired t tests and mixed effects models with repeated measures to assess associations between oxytocin, individual biosignal features, and outcomes such as stress-rest and case-control comparisons. RESULTS: The first participant was enrolled on December 3, 2021, and recruitment closed on December 31, 2022. Nine patient dyads and nine control dyads were recruited. Sixteen participating dyads completed follow-up assessments. CONCLUSIONS: The results of this study will provide preliminary evidence for the extent to which a wearable biosensor that collects physiological signals can be used to monitor OCD severity and events in youths. If we find the study to be feasible, further studies will be conducted to integrate biosensor signals output into machine learning algorithms that can provide patients, parents, and therapists with actionable insights into OCD symptoms and treatment progress. Future definitive studies will be tasked with testing the accuracy of machine learning models to detect and predict OCD episodes and classify clinical severity. TRIAL REGISTRATION: ClinicalTrials.gov NCT05064527; https://clinicaltrials.gov/ct2/show/NCT05064527. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/45123.

Effect modification of an effective transdiagnostic cognitive behavioral psychotherapy in youths with common mental health problems: Secondary analyses of the randomized mind-my-mind trial.

Mind My Mind (MMM) cognitive behavioral therapy (CBT) manualized treatment is effective in the management of common emotional and behavioral mental health problems in youth, yet not all individuals respond satisfactorily to treatment. This study explored potential effect modifiers, i.e., baseline factors associated with a differential treatment effect. We conducted secondary effect modifier analyses with MMM trial data, which involved randomization of 396 youths aged 6-16 years to either MMM CBT treatment (9-13 sessions) or management as usual in local community settings. We examined sociodemographic- (sex, age, family composition, ethnicity, parental education, and income) and clinical variables (mental disorders and duration of mental health problems) as potential effect modifiers of the a) change in parent-rated impact of mental health problems measured by the Strengths and Difficulties Questionnaire (SDQ) or b) response (reduction of ≥1 on SDQ-impact). In intention-to-treat analyses, superior treatment (net) benefits from the MMM intervention were found among youths who met criteria for any mental disorder at baseline (-1.25 [95%CI: -1.67;-0.82]) compared to youths that did not meet diagnostic criteria (-0.22 [95%CI:-1.09;0.65]). Comorbidity vs no comorbidity (-1.84 [95%CI:-2.58;-1.10] vs -0.72 [95%CI:-1.15;-0.29]) and longer duration of untreated mental health problems, i.e., more vs less than 6 months (-1.16 [95%CI:-1.55;-0.78] vs 0.43 [95%CI:-1.01;1.86]) were also associated with superior treatment benefits. The sociodemographic factors were not associated with differential treatment effects in the intention-to-treat analyses. These findings suggest that community-based programs like the MMM are well-suited for youths with substantial mental health problems. Clinical Trials Identifier: NCT03535805.

Prospective validation of Sophia observation withdrawal symptoms: A paediatric delirium scale in critically ill children in Denmark.

BACKGROUND: Paediatric delirium (PD) is increasingly recognised as a common disorder in critically ill children with a reported prevalence ranging from 9% to 66%. We validated the PD component of the Sophia Observation withdrawal Symptoms-Paediatric Delirium (SOS-PD) scale in a Danish setting to provide increased awareness and reliable identification of this critical condition, thereby paving the way for improved pathways to targeted delirium care. OBJECTIVE: The objectives of this study were to criterion validate the PD component of the SOS-PD screening tool by comparing blinded psychiatric and nurse assessments and to estimate the prevalence of delirium in critically ill children in a Danish context. METHODS: A prospective observational study was performed on critically ill children aged between 3 m and 18 y, admitted to an intensive care unit, with a hospital stay of 48 h or more. Assessments took place on a fixed weekday over an 18-month period. To test accuracy and criterion validity, bedside nurses' SOS-PD assessments were compared to the reference standard, a diagnostic assessment performed by a child psychiatrist according to the Diagnostic and Statistical Manual-V criteria by use of the Vanderbilt Assessment of Delirium in Infants and Children. RESULTS: We included 141 children in the study, 30 (21%) of whom were diagnosed with delirium by the child psychiatrist. The accuracy of the delirium diagnosis was 93.6% (95% confidence interval [CI]: 88.3-97.1) among the nurses' SOS-PD assessments compared to the reference standard. The SOS-PD demonstrated a high sensitivity of 83.3% (95% CI: 65.3-94.4) and a high specificity of 96.4% (95% CI: 91.0-99.0) with five false-negative and four false-positive cases. CONCLUSION: The PD component of the SOS-PD tool has good accuracy and validity for assessments performed by nurses compared to a child psychiatrist's diagnosis in critically ill children in a Danish setting. We recommend the use of the SOS-PD instrument in clinical practice.

Psychiatric comorbidity in patients with pediatric bipolar disorder - A systematic review.

BACKGROUND: A growing body of evidence suggests that pediatric bipolar disorder (PBD) frequently co-occurs with comorbid psychiatric disorders that may impact functioning. OBJECTIVE: To review existing literature on the prevalence of psychiatric comorbidity and general functioning in patients with a primary diagnosis of PBD. METHODS: We performed a systematic literature search on the PubMed, Embase and PsycInfo databases on November 16th, 2022. We included original papers on patients ≤18 years with primary PBD and any comorbid psychiatric disorder, diagnosed according to a validated diagnostic tool. Risk of bias of the individual studies was assessed using the STROBE checklist. We calculated weighted means to assess the comorbidity prevalence. The review complied with PRISMA statement guidelines. RESULTS: Twenty studies with a total study population of 2722 patients with PBD were included (mean age = 12.2 years). We found an overall high prevalence of comorbidity in patients with PBD. The most common comorbidities were attention-deficit-hyperactivity disorder (ADHD) (60%) and oppositional defiant disorder (ODD) (47%). Anxiety disorders, obsessive-compulsive disorder, conduct disorder, tic disorders and substance-related disorders affected between 13.2% and 29% of patients, while one in 10 had comorbid mental retardation or autism spectrum disorder (ASD). The prevalence of comorbid disorders was lower in studies that assessed the current prevalence in patients in full or partial remission. General functioning was overall not specifically decreased in patients with comorbidity. CONCLUSIONS: Comorbidity across a broad range of disorders was high in children diagnosed with PBD, especially regarding ADHD, ASD, behavioral and anxiety disorders including OCD. Future original studies should assess current prevalence of comorbidities in patients with PBD who are in remission to obtain more reliable estimates of psychiatric comorbidity in this patient group. The review highlights the clinical and scientific importance of comorbidity in PBD.

Frequency and types of emotional dysregulation in referrals to child and adolescent mental health services.

INTRODUCTION: Emotional dysregulation (ED) is a transdiagnostic phenomenon that has received increased attention, because of its potential ability to explain the development and maintenance of various psychiatric disorders. The identification of ED may serve as a potential target for both preventive and treatment interventions, however, the frequency of transdiagnostic ED among children and adolescents has not previously been evaluated. Our aim was to evaluate the frequency and types of ED in accepted and rejected referrals to the Child and Adolescent Mental Health Center (CAMHC), Mental Health Services, Copenhagen, Denmark, regardless of psychiatric status and across diagnoses. We aimed to evaluate how often ED would be a leading cause in seeking professional help, and whether children with ED not directly reflecting symptoms of known psychopathology would have higher rejection rates than children with more distinct symptoms of psychopathology. Finally, we assessed associations between sex and age with various types of ED. METHODS: We examined ED in a retrospective chart review of referrals of children and adolescents aged 3-17 years to the CAMHC between August 1st, 2020, and August 1st, 2021. We ranked problems described in the referral as primary, secondary, and tertiary depending on severity. Further, we examined group differences in the frequency of ED in accepted versus rejected referrals, as well as group differences in types of ED in age and sex distributions, and diagnoses occurring with specific types of ED. RESULTS: ED was present in 62.3% of the 999 referrals and was assessed as the primary issue in twice as many rejected referrals (11.4%) compared to accepted referrals (5.7%). Boys were significantly more often described with externalizing and internalizing behavior (55.5% vs. 31.6%; 35.1% vs. 26.5%) as well as incongruent affect (10.0% vs. 4.7%), whereas girls were more often described with depressed mood (47.5% vs. 38.0%) and self-harm (23.8% vs. 9.4%). The frequency of different types of ED varied with age. CONCLUSION: The present study is the first to evaluate the frequency of ED in children and adolescents referred to mental health services. The study offers insights into the high frequency of ED and the associations between ED and subsequent diagnoses, which may prove to be a method of early identification of risk of psychopathology. Our findings suggest that ED may rightly be considered a transdiagnostic factor, independent of specific psychiatric disorders, and that an ED-centered as opposed to diagnosis-specific approach to assessment, prevention, and treatment could target transversal symptoms of psychopathology in a more holistic manner.

The future of child and adolescent clinical psychopharmacology: A systematic review of phase 2, 3, or 4 randomized controlled trials of pharmacologic agents without regulatory approval or for unapproved indications.

We aimed to identify promising novel medications for child and adolescent mental health problems. We systematically searched https://clinicaltrials.gov/ and https://www.clinicaltrialsregister.eu/ (from 01/01/2010-08/23/2022) for phase 2 or 3 randomized controlled trials (RCTs) of medications without regulatory approval in the US, Europe or Asia, including also RCTs of dietary interventions/probiotics. Additionally, we searched phase 4 RCTs of agents targeting unlicensed indications for children/adolescents with mental health disorders. We retrieved 234 ongoing or completed RCTs, including 26 (11%) with positive findings on ≥ 1 primary outcome, 43 (18%) with negative/unavailable results on every primary outcome, and 165 (70%) without publicly available statistical results. The only two compounds with evidence of significant effects that were replicated in ≥ 1 additional RCT without any negative RCTs were dasotraline for attention-deficit/hyperactivity disorder, and carbetocin for hyperphagia in Prader-Willi syndrome. Among other strategies, targeting specific symptom dimensions in samples stratified based on clinical characteristics or established biomarkers may increase chances of success in future development programmes.

Characteristics prior to and at time of diagnosis in pediatric bipolar disorder.

OBJECTIVES: Describe symptoms before and at time of register-diagnosis in children and adolescents. METHODS: A random sample was selected for chart-review from a Danish nationwide cohort of patients <18 years registered with an incident ICD-10 register-diagnosis of single hypomanic/manic episode or bipolar disorder between 1995 and 2014. Patients with symptoms which adequately documented a BD diagnosis in the chart were included for analysis. RESULTS: 521 were diagnosed in the study period. A random sample of 25% were selected, and 106 charts were possible to retrieve, with 48 chart reviews resulting in confirmation of diagnosis. Time from first reported affective symptoms to diagnosis was 2.6 ± 2.7 years for depressive symptoms, 2.5 ± 2.9 years for mixed symptoms, 1.4 ± 1.6 years for hypomanic symptoms, and 0.4 ± 0.5 years for manic symptoms. A hierarchical clustering analysis revealed three patient-profiles: primarily hypomanic/manic, primarily depressive, and more rare, primarily mixed profile. Frequently reported symptoms prior to diagnosis include anhedonia (79%), irritability (71%), hyperactivity (62.5%), decreased energy (62.5%), and psychotic symptoms (52%).Symptoms of ADHD (19%), comorbid ADHD (15%), symptoms of anxiety (52%), comorbid anxiety (4%), suicidal thoughts (50%), suicide attempts (8%), cutting (23%), substance misuse (21%), and criminal activity (10%) were reported before incident BD diagnosis. CONCLUSION: The observed patient-profiles leading to diagnosis were primarily manic or depressive, resembling presentations in adults. The presence of ADHD, anxiety, suicide attempts, cutting, and criminal activity prior to diagnosis emphasizes the need for treatment of children and adolescents with affective symptoms. The gap from appearance of the symptoms to diagnosis suggests a window for earlier treatment.

Associations Between the Severity of Obsessive-Compulsive Disorder and Vocal Features in Children and Adolescents: Protocol for a Statistical and Machine Learning Analysis.

BACKGROUND: Artificial intelligence tools have the potential to objectively identify youth in need of mental health care. Speech signals have shown promise as a source for predicting various psychiatric conditions and transdiagnostic symptoms. OBJECTIVE: We designed a study testing the association between obsessive-compulsive disorder (OCD) diagnosis and symptom severity on vocal features in children and adolescents. Here, we present an analysis plan and statistical report for the study to document our a priori hypotheses and increase the robustness of the findings of our planned study. METHODS: Audio recordings of clinical interviews of 47 children and adolescents with OCD and 17 children and adolescents without a psychiatric diagnosis will be analyzed. Youths were between 8 and 17 years old. We will test the effect of OCD diagnosis on computationally derived scores of vocal activation using ANOVA. To test the effect of OCD severity classifications on the same computationally derived vocal scores, we will perform a logistic regression. Finally, we will attempt to create an improved indicator of OCD severity by refining the model with more relevant labels. Models will be adjusted for age and gender. Model validation strategies are outlined. RESULTS: Simulated results are presented. The actual results using real data will be presented in future publications. CONCLUSIONS: A major strength of this study is that we will include age and gender in our models to increase classification accuracy. A major challenge is the suboptimal quality of the audio recordings, which are representative of in-the-wild data and a large body of recordings collected during other clinical trials. This preregistered analysis plan and statistical report will increase the validity of the interpretations of the upcoming results. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/39613.

Family-based cognitive behavioural therapy versus family-based relaxation therapy for obsessive-compulsive disorder in children and adolescents (the TECTO trial): a statistical analysis plan for the randomised clinical trial.

BACKGROUND: Obsessive-compulsive disorder (OCD) is a debilitating psychiatric disorder which affects up to 3% of children and adolescents. OCD in children and adolescents is generally treated with cognitive behavioural therapy (CBT), which, in more severely affected patients, can be combined with antidepressant medication. The TECTO trial aims to compare the benefits and harms of family-based CBT (FCBT) versus family-based psychoeducation/relaxation training (FPRT) in children and adolescents aged 8 to 17 years. This statistical analysis plan outlines the planned statistical analyses for the TECTO trial. METHODS: The TECTO trial is an investigator-initiated, independently funded, single-centre, parallel-group, superiority randomised clinical trial. Both groups undergo 14 sessions of 75 min each during a period of 16 weeks with either FCBT or FPRT depending on the allocation. Participants are randomised stratified by age and baseline Children's Yale-Brown Obsessive-Compulsive Scale (CY-BOCS) score. The primary outcome is the CY-BOCS score. Secondary outcomes are health-related quality of life assessed using KIDSCREEN-10 and adverse events assessed by the Negative Effects Questionnaire (NEQ). Primary and secondary outcomes are assessed at the end of the intervention. Continuous outcomes will be analysed using linear regression adjusted for the stratification variables and baseline value of the continuous outcome. Dichotomous outcomes will be analysed using logistic regression adjusted for the stratification variables. The statistical analyses will be carried out by two independent blinded statisticians. DISCUSSION: This statistical analysis plan includes a detailed predefined description of how data will be analysed and presented in the main publication before unblinding of study data. Statistical analysis plans limit selective reporting bias. This statistical analysis plan will increase the validity of the final trial results. TRIAL REGISTRATION: ClinicalTrials.gov NCT03595098. July 23, 2018.