OBJECTIVE: Evidence suggests an association between maternal hypothyroidism and risk of attention-deficit/hyperactivity disorder (ADHD) or autism spectrum disorder (ASD) in offspring. We examined the risk of ASD and ADHD in individuals with congenital hypothyroidism (CHT).
METHODS: A nationwide population-based cohort study enrolled a total of 1260 children younger than 12 years with a confirmed diagnosis of CHT and no prior diagnosis of any neurodevelopmental disorders, selected from the National Health Insurance Research Database of Taiwan between 1998 to 2013. In addition, 12,600 controls matched for sex, age, and residence were selected. Cox proportional hazards analysis was used to investigate the association among CHT, ASD, and ADHD.
RESULTS: Children with CHT were associated with a higher incidence of ASD (7.1‰ vs 1.3‰, P < 0.001) and ADHD (39.7‰ vs 18.7‰, P < 0.001) than the control group. Cox regression analyses demonstrated that children with CHT were associated with elevated risks of ASD (hazard ratio [HR], 4.72 [95% confidence interval (CI), 2.08-10.70]) and ADHD (HR, 2.03 [95% CI, 1.49-2.77]), after adjusting for demographic data and family history of major psychiatric disorders, compared with the control group.
CONCLUSIONS: Children with CHT were associated with approximately a two-fold increased risk of ADHD and a four-fold increased risk of ASD than the control group. Our study highlights the need for future research to elucidate the potential pathophysiology among CHD, ASD, and ADHD.

BACKGROUND: Major depressive disorder (MDD) is highly prevalent in youth. Conventional treatment paradigms primarily involve selective serotonin reuptake inhibitors (SSRIs) and psychotherapy, yet a significant proportion of this population exhibits treatment-resistant depression (TRD). In adults, interventional therapies like Electroconvulsive Therapy (ECT), repetitive Transcranial Magnetic Stimulation (rTMS), and ketamine have shown promise for TRD, but their comparative efficacy remains underexplored in Adolescent and pediatric population. This systematic review and meta-analysis aims to assess the relative effectiveness of ECT, rTMS, and ketamine in treating TRD among adolescents.
METHODS: Following PRISMA guidelines, we systematically searched databases for studies of ECT, rTMS, or ketamine for treatment-resistant depression in youth ages 10-24. Three reviewers independently screened for inclusion based on predefined criteria. Included observational and randomized controlled trials reported depression symptoms with measures like HDRS and MADRS in youth treated with ECT, rTMS, or ketamine. Two reviewers extracted data on interventions, patients, and depression symptom outcomes. Chance-adjusted inter-reviewer agreement was calculated. For meta-analysis, we pooled standardized mean differences (SMDs) in depression scores using random effects models and assessed heterogeneity with I2 statistics.
RESULTS: Meta-analysis of 10 observational studies examined SMD in depression scores for treatment resistant depression patients treated with ECT, ketamine, or rTMS. Patients treated with ECT had a significantly lower SMD of 1.99 (95 % CI 0.92-3.05, p < 0.001) compared to baseline. Patients treated with ketamine also had a significantly lower SMD of 1.58 (95 % CI 1.04-2.12, p < 0.001). Patients treated with rTMS had the lowest SMD of 2.79 (95 % CI 0.79-4.80, p = 0.006). There was no significant difference between the three groups overall (p > 0.05). Comparative analysis between ECT and ketamine found no significant difference in SMD (p = 0.387). Comparison of ECT versus rTMS found a significant difference in SMD favoring rTMS (p = 0.004). Comparison of ketamine versus rTMS suggested a potential difference in SMD favoring rTMS (p = 0.058). In summary, rTMS resulted in significantly larger reductions in depression scores than ECT, and potentially larger reductions than ketamine.
CONCLUSIONS: This meta-analysis illustrates the ability of rTMS, ECT, and ketamine to improve depression in youth. rTMS resulted in the largest improvements, highlighting its potential as a first-line treatment for pediatric treatment-resistant depression given its favorable side effect profile compared to ECT. Further research directly comparing these modalities is needed.

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OBJECTIVE: To describe the increasing number and changing demographics of patients presenting with gender dysphoria and provide an account of patient- and clinician-related factors which may have contributed to these changes. The concept of abnormal illness behaviours introduced by Pilowsky, and its extension to the concept of abnormal treatment behaviours by Singh, provides a framework for understanding healthy and pathological interactions between gender dysphoria patients and their doctors.
CONCLUSIONS: Abnormal illness behaviours driven by the reinforcing contingencies of gender-affirming care may explain, in part, the increasing number and changing demographics of gender dysphoria, as well as the increasing incidence of desistance and detransition. The under-diagnosis and under-treatment of mental health disorders by clinicians treating these patients are examples of abnormal treatment behaviours. Uncritical affirmation of patient reported gender identity appears likely to conceal unconscious motivations of some patients and clinicians, increasing the risks of harm to both.

Background Psychotic disorders are commonly diagnosed in the mid-20s but symptoms often emerge earlier during late teenage years to mid-20s. Notably, studies have shown that psychotic symptoms can also affect younger individuals, with a higher prevalence among preteens than teens. Head imaging via computed tomography (CT) or magnetic resonance imaging (MRI) can be performed to rule out non-psychiatric causes of psychotic symptoms in this population but may pose additional risks and financial burdens. Practice patterns vary regarding when to utilize head imaging in pediatric patients with first-episode psychosis (FEP). The purpose of this study is to better understand the use of head imaging in pediatric FEP and associated patient characteristics. Methods A retrospective cohort study was performed. Eligible patients were <18 years of age with an encounter documented between 2013 and 2023 where a diagnosis code for psychosis was first applied. Medical records were manually reviewed if head imaging was performed during the index encounter or within one month. Descriptive statistics were used to report the study population demographics. Independent t-testing was used to compare characteristics between patients who did and did not receive head imaging. Results A total of 113 patients met the inclusion criteria for the study, of which 12 (10.6%) received head imaging within the specified timeframe. All received CT criteria head scans, and a significantly higher proportion were African American or Black when compared to those who did not receive head imaging (10/12 (83.3%) vs. 53/101 (52.5%) p=0.023). None of the imaging tests performed yielded significant neurological findings that suggested an underlying pathology for psychosis. Conclusions Head imaging was rarely utilized for the initial assessment of pediatric FEP in this study. When it was used, CT head scans were the modality of choice but did not yield any remarkable findings to suggest a non-psychiatric cause of psychotic symptoms. This adds to the body of evidence supporting a conservative approach when considering head imaging in pediatric FEP.

The environment influences the way we act, react and adapt to our surroundings whether it is consciously or unconsciously. Though it is widely accepted that multiple interacting systems influence human behaviour and development across the life span, the reality of teasing these factors apart is difficult and challenging. In this brief commentary on Czernine and colleagues\' important and timely paper, \'Can a modernised psychiatric unit space reduce the use of coercive measures in child and adolescent psychiatry?\', I evaluate and build on the evidence presented by making constructive suggestions on ways of improving the status quo healthcare and treatment conditions for children and adolescents today. The underlying assumption is that by furthering this complex yet important area of research in the field of psychiatry and adjacent disciplines, we can improve existing healthcare systems and processes that are aligned with meeting child and adolescent needs.

It is the current consensus amongst the psychiatric community that children undergoing evaluation for developmental delays and/or autism spectrum disorder (ASD) should be offered genetic testing early in the diagnostic process. Identifying genetic abnormalities can provide insight into patient prognosis and may reveal other medical complications that could arise throughout a patient\'s life. Despite these recognized benefits, genetic testing is often delayed or not offered and therefore deprives families of valuable knowledge about their child\'s future health outcomes. We present a case of a six-year-old patient who presented to our child and adolescent psychiatry office for behavioral concerns. She had received an ASD diagnosis years prior to presentation, but for unknown reasons, genetic testing had never been pursued. Genetic testing was obtained in our office, and the results revealed three different mutations that were linked to ASD and various other medical complications including epilepsy. With this knowledge, the patient\'s family gained important insight into their child\'s prognosis. This case highlights the necessity for adopting a point-of-care testing (POCT) model when evaluating children with developmental delays and/or ASD. Through this model, genetic testing would be offered to families during the initial visit for these patients. This would help streamline this process and allow for more widespread detection of genetic disorders linked to ASD and coexisting medical sequelae. Having this knowledge would empower families with a better understanding of their child\'s condition and would allow families to work together with providers to determine the best possible treatment plan.

To reduce coercion in acute inpatient child and adolescent psychiatric units, a better understanding of individuals at risk for seclusion and/or restraint (S/R) is needed. We report data on the proportion of patients secluded/restrained and factors associated with higher risk of S/R. Identifying preventative mechanisms through risk stratification upon inpatient admission can aid the training of mental health professionals, and support shaping specific workflows for at-risk populations for example by joint crisis plans or post-coercion review sessions.
METHODS: A case-control study included all admissions (n = 782) to a department of child and adolescent psychiatry within 36 months between 2019 and 2022. Data on age, sex, out of home care, primary and comorbid ICD-10 diagnoses, length of stay, prior/multiple admissions were compared between admissions with and without S/R using chi square tests for categorical and t-tests for continuous variables. Uni- and multivariate binary logistic regression models were computed.
RESULTS: The overall proportion of S/R was 12.8% (n = 100). Females (p = 0.001), patients in out of home care (p < 0.001), with prior admission (p < 0.001), Post-traumatic stress disorder (PTSD; p < 0.001) and Borderline personality disorder (BPD; p < 0.001) were at a significantly higher risk of S/R. Length of stay in days (OR 1.01), out of home care (OR 3.85), PTSD (OR 6.20), BPD (OR 15.17), Attention deficit hyperactivity disorder (ADHD)/conduct disorder (OR 4.29), and manic episode/bipolar disorder (OR 36.41) were significantly associated with S/R in multivariate regression.
CONCLUSIONS: Child and adolescent psychiatric staff should consider risk factors when using coercive measures. Patients with PTSD and/or BPD are the most vulnerable subgroups. Training of professionals and clinical practice need to be adapted in order to prevent the use of S/R and its potential hazards.

Longitudinal research examining children\'s mental health (MH) over the course of the COVID-19 pandemic is scarce. We examined trajectories of depression and anxiety over two pandemic years among children with and without MH disorders. Parents and children 2-18 years completed surveys at seven timepoints (April 2020 to June 2022). Parents completed validated measures of depression and anxiety for children 8-18 years, and validated measures of emotional/behavioural symptoms for children 2-7 years old; children ≥10 years completed validated measures of depression and anxiety. Latent growth curve analysis determined depression and anxiety trajectories, accounting for demographics, child and parent MH. Data were available on 1315 unique children (1259 parent-reports; 550 child-reports). Trajectories were stable across the study period, however individual variation in trajectories was statistically significant. Of included covariates, only initial symptom level predicted symptom trajectories. Among participants with pre-COVID data, a significant increase in depression symptoms relative to pre-pandemic levels was observed; children and adolescents experienced elevated and sustained levels of depression and anxiety during the two-year period. Findings have direct policy implications in the prioritization and of maintenance of educational, recreational, and social activities with added MH supports in the face of future events.

OBJECTIVE: The objective of this study was to identify longitudinal predictors of depressive symptoms in autistic children and youth.
METHODS: Participants were youth with a diagnosis of autism who were part of the Province of Ontario Neurodevelopmental Disorders Network longitudinal substudy. Depressive symptoms were assessed using the child behaviour checklist (CBCL) affective problems subscale. Univariate and multivariable logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the associations between clinical and demographic characteristics at baseline (T1) and clinically elevated depressive symptoms (CEDS) approximately 4 years later (T2).
RESULTS: The mean age of participants (n = 75) at T1 was 9.8 years (SD = 2.7) and at T2 was 14.1 years (SD = 2.8). A total of 37% and 35% of participants had CEDS at T1 and T2, respectively. Additionally, 24% of participants had CEDS at both T1 and T2. T1 characteristics associated with T2 CEDS were: loneliness (OR = 3.0, 95% CI, 1.1 to 8.8), self-harm (OR = 4.0, 95% CI, 1.1 to 16.9), suicidal ideation (OR = 3.9, 95% CI, 1.0 to 16.5), more social and adaptive skills (OR = 0.3, 95% CI, 0.1 to 0.9), elevated restricted and repetitive behaviours (OR = 3.8, 95% CI, 1.3 to 11.6), psychotropic medication use (OR = 3.0, 95% CI, 1.1 to 8.4), attention-deficient/hyperactivity disorder (OR = 2.8, 95% CI, 1.1 to 7.8), and T1 CEDS (OR = 8.8, 95% CI, 3.1 to 27.0) (uncorrected for multiple comparisons). Associations persisted after adjusting for age and intelligence quotient (IQ) differences. Age, sex, IQ, teasing/bullying on the CBCL, family psychiatric history and family income were not associated with T2 CEDS.
CONCLUSIONS: Our results highlight both high prevalence and high potential for the persistence of depressive symptoms in autism and emphasize the importance of early support to address loneliness and social participation.
Study assessing risk factors for depression in autistic youthPlain Language SummaryObjectiveThe goal of this study was to find risk factors for depression in autistic youth.MethodsThe study included autistic youth who were part of the Province of Ontario Neurodevelopmental Disorders Network. Symptoms of depression were identified using mental health surveys and screening tools completed by parents. We studied 75 youth over two time points, to understand what factors might predict greater depression risk.ResultsThe average age of our study population at the first visit was 10 years old, and 14 years old at the second visit. Our study found that 37% of participants had elevated symptoms of depression at the first visit, and 35% at the second visit. Factors associated with future depressive symptoms included: loneliness, self-harm, suicidal ideation, high levels of restrictive/repetitive behaviours, depressive symptoms at the first visit, and ADHD. Factors that protected against depressive symptoms included high levels of social skills.ConclusionOur results show high levels of depressive symptoms among autistic youth, and the potential for this to persist over time in this population. Our findings emphasize the importance of early supports to address loneliness and social participation.