A Nationwide Target Trial Emulation Assessing the Risk of Antidepressant-Induced Mania Among Patients With Bipolar Depression.

OBJECTIVE: Antidepressants are commonly used to treat bipolar depression but may increase the risk of mania. The evidence from randomized controlled trials, however, is limited by short treatment durations, providing little evidence for the long-term risk of antidepressant-induced mania. The authors performed a target trial emulation to compare the risk of mania among individuals with bipolar depression treated or not treated with antidepressants over a 1-year period. METHODS: The authors emulated a target trial using observational data from nationwide Danish health registers. The study included 979 individuals with bipolar depression recently discharged from a psychiatric ward. Of these, 358 individuals received antidepressant treatment, and 621 did not. The occurrence of mania and bipolar depression over the following year was ascertained, and the intention-to-treat effect of antidepressants was analyzed by using Cox proportional hazards regression with adjustment for baseline covariates to emulate randomized open-label treatment allocation. RESULTS: The fully adjusted analyses revealed no statistically significant associations between treatment with an antidepressant and the risk of mania in the full sample (hazard rate ratio=1.08, 95% CI=0.72-1.61), in the subsample concomitantly treated with a mood-stabilizing agent (hazard rate ratio=1.16, 95% CI=0.63-2.13), and in the subsample not treated with a mood-stabilizing agent (hazard rate ratio=1.16, 95% CI=0.65-2.07). Secondary analyses revealed no statistically significant association between treatment with an antidepressant and bipolar depression recurrence. CONCLUSIONS: These findings suggest that the risk of antidepressant-induced mania is negligible and call for further studies to optimize treatment strategies for individuals with bipolar depression.

Striking the Balance: Bipolar Disorder in the Perinatal Period.

The authors reviewed the literature, published between 2018 and 2023, on treating bipolar disorder in the perinatal period in order to summarize current treatment perspectives. Mood episodes occur during pregnancy and there are high rates of both initial onset and recurrence in the postpartum period. Bipolar disorder itself is associated with higher risks of adverse pregnancy outcomes, including gestational hypertension, hemorrhage, cesarean delivery, and small for gestational age infants. A general principle of perinatal treatment includes maintaining psychiatric stability of the pregnant person while reducing medication exposure risk to the fetus. A variety of factors can compromise psychiatric stability, including rapid discontinuation of stabilizing medications, decreased efficacy due to physiologic changes of pregnancy, and exacerbation of underlying psychiatric illness. Psychosocial interventions include optimizing sleep, increasing support, and reducing stress. The American College of Obstetricians and Gynecologists recommends against discontinuing or withholding medications solely due to pregnancy or lactation status. Individualized treatment involves a discussion of the risks of undertreated bipolar disorder weighed against the risks of individual medication choice based on available evidence regarding congenital malformations, adverse neonatal and obstetrical events, and neurodevelopmental outcomes. Valproate is not a first-line treatment due to higher risks. Data are lacking on safety for many newer medications. The authors review current safety data regarding lithium, lamotrigine, and antipsychotics, which are the most commonly used treatments for managing bipolar disorder in the perinatal period. Due to physiologic changes during pregnancy, frequent therapeutic drug monitoring and dose adjustments are required.

Capacity to Consent in Healthcare: A Systematic Review and Meta-Analysis Comparing Patients with Bipolar Disorders and Schizophrenia Spectrum Disorders.

Background: Mental capacity is a fundamental aspect that enables patients to fully participate in various healthcare procedures. To assist healthcare professionals (HCPs) in assessing patients' capacity, especially in the mental health field, several standardized tools have been developed. These tools include the MacArthur Competence Assessment Tool for Treatment (MacCAT-T), the MacArthur Competence Assessment Tool for Clinical Research (MacCAT-CR), and the Competence Assessment Tool for Psychiatric Advance Directives (CAT-PAD). The core dimensions explored by these tools include Understanding, Appreciation, Reasoning, and Expression of a choice. Objective: This meta-analysis aimed to investigate potential differences in decision-making capacity within the healthcare context among groups of patients with bipolar disorders (BD) and schizophrenia spectrum disorders (SSD). Methods: A systematic search was conducted on Medline/Pubmed, and Scopus. Additionally, Google Scholar was manually inspected, and a manual search of emerging reviews and reference lists of the retrieved papers was performed. Eligible studies were specifically cross-sectional, utilizing standardized assessment tools, and involving patients diagnosed with BD and SSD. Data from the studies were independently extracted and pooled using random-effect models. Hedges' g was used as a measure for outcomes. Results: Six studies were identified, with three studies using the MacCAT-CR, two studies the MacCAT-T, and one the CAT-PAD. The participants included 189 individuals with BD and 324 individuals with SSD. The meta-analysis revealed that patients with BD performed slightly better compared to patients with SSD, with the difference being statistically significant in the domain of Appreciation (ES = 0.23, 95% CI: 0.01 to 0.04, p = 0.037). There was no statistically significant difference between the two groups for Understanding (ES = 0.09, 95% CI:-0.10 to 0.27, p = 0.352), Reasoning (ES = 0.18, 95% CI: -0.12 to 0.47, p = 0.074), and Expression of a choice (ES = 0.23, 95% CI: -0.01 to 0.48, p = 0.60). In the sensitivity analysis, furthermore, when considering only studies involving patients in symptomatic remission, the difference for Appreciation also resulted in non-significant (ES = 0.21, 95% CI: -0.04 to 0.46, p = 0.102). Conclusions: These findings indicate that there are no significant differences between patients with BD and SSD during remission phases, while differences are minimal during acute phases. The usefulness of standardized assessment of capacity at any stage of the illness should be considered, both for diagnostic-therapeutic phases and for research and advance directives. Further studies are necessary to understand the reasons for the overlap in capacity between the two diagnostic categories compared in this study.

Study protocol: group-based psychoeducation for relatives of patients with bipolar disorder-a large scale real-world randomized controlled parallel group trial, the R-bipolar RCT.

BACKGROUND: Relatives of patients with bipolar disorder (BD) often experience emotional burden with stress and depressive symptoms that again increase the likelihood of destabilization and relapses in the patient. The effects of group-based psychoeducation have not been investigated in large-scale real-world settings. We are currently conducting a large-scale real-world randomized controlled parallel group trial (RCT) to test whether group-based psychoeducation for 200 relatives to patients with BD improves mood instability and other critical outcomes in relatives and the corresponding patients with BD. METHODS: The trial is designed as a two-arm, parallel-group randomized trial with a balanced randomization 1:1 to either group-based psychoeducation or a waiting list for approximately 4 months and subsequent group-based psychoeducation. The primary outcome measure is mood instability calculated based on daily smartphone-based mood self-assessments. Other relevant outcomes are measured, including patients' reported outcomes, assessing self-assessed burden, self-efficacy, and knowledge about BD. DISCUSSION: This protocol describes our currently ongoing randomized controlled trial (RCT) that aims at investigating group-based psychoeducation as an intervention for relatives of individuals diagnosed with bipolar disorder (BD). The study is the first large-scale real-world RCT to focus on a relatively short intervention of psychoeducation (6 sessions of 2 h each) in a large group of relatives (approximately 30 participants per group). With this focus, we wish to test an intervention that is feasible to implement in real-life psychiatric settings with limited budgets and time. It is also the first study to use mood instability in relatives as the primary outcome measure and to investigate whether mood instability and other affective symptoms in patients and relatives covary. It could be considered as limitations, that the trial is not blinded and does not include long-term follow-up. TRIAL REGISTRATION: ClinicalTrials.gov NCT06176001. Registered on 2023-12-19. The study is approved by the data agency (P-2021-809). The project was allowed to be initiated without permission from the Scientific Ethical Committees for the Capital Region, because it according to section 1, paragraph 4 of the Committee Act was not defined as a health scientific intervention study (case number 21063013).

Dialectical Behavior and Social Rhythm Therapy for Comorbid Bipolar Disorder and Borderline Personality Disorder.

Bipolar disorder and borderline personality disorder commonly co-occur. Each disorder is associated with substantial morbidity and mortality, which are worsened by co-occurrence of the disorders. Emotional dysregulation, suicidality, and disrupted circadian rhythm are key aspects of psychopathology associated with both conditions. A novel psychotherapy combining elements of two evidence-based treatments (i.e., dialectical behavior therapy [DBT] for borderline personality disorder and social rhythm therapy [SRT] for bipolar disorder) is described. Unlike either treatment alone, the new therapy, called dialectical behavior and social rhythm therapy (DBSRT), targets all three disease-relevant processes and therefore may represent a promising new approach to treatment for individuals with these two conditions. DBSRT may also have utility for individuals with overlapping characteristics of bipolar disorder and borderline personality disorder or for those whose illness manifestation includes a mix of bipolar and borderline personality disorder traits. Strategies associated with DBSRT are described, and a brief case vignette illustrates its application.

Recent Secular Trends of Body Mass Index in Individuals With Bipolar Disorders and in the General Population.

OBJECTIVE: The aims of this study were to investigate secular trends and distribution of body mass index (BMI) among individuals with bipolar disorders and the general population between 2008 and 2019. METHODS: Data were from the Swedish National Quality Register for Bipolar Disorder, where 24,423 adults with bipolar disorders were identified, and from the national Swedish Living Conditions Surveys, where 77,485 adults from the general population were identified. Quantile regression was used to compare the 15th, 50th, and 85th percentiles of BMI across age and study years. RESULTS: The study sample included 22,127 individuals with bipolar disorders (mean age, 48 years; 63% women) and 71,894 individuals from the general population (mean age, 52 years; 51% women). BMI percentiles were higher among individuals with bipolar disorders. At the 50th percentile, the BMI group differences were 1.1 (95% CI=0.8-1.14) for men and 1.8 (95% CI=1.5-2.1) for women. The gap was widest at the 85th BMI percentile: men, 2.3 (95% CI=1.8-2.8); women, 4.1 (95% CI=3.7-4.6). BMI increased over time in both study groups, but more in the group with bipolar disorders. The changes per decade in mean BMI were 0.4 (95% CI=0.3-0.5) among men in the general population, 1.1 (95% CI=0.7-1.4) among men with bipolar disorders, 0.6 (95% CI=0.5-0.7) among women in the general population, and 1.4 (95% CI=1.1-1.7) among women with bipolar disorders. Women with bipolar disorders had the highest prevalence and the greatest rate of increase of obesity. In 2019, the obesity prevalence was 33% among women and 29% among men with bipolar disorders, compared with 13% and 15%, respectively, among women and men in the general population. CONCLUSIONS: Adults with bipolar disorders had a higher BMI and a higher prevalence of obesity than the general population, indicating a higher cardiometabolic risk. Annually, BMI increased more in the group with bipolar disorders than in the general population, particularly among women and among those with high BMI.

Feasibility and Acceptability of Group Interpersonal and Social Rhythm Therapy for Recurrent Mood Disorders: A Pilot Study.

OBJECTIVE: Interpersonal and social rhythm therapy (IPSRT) was developed to empower patients with mood disorders by stabilizing underlying disturbances in circadian rhythms and by using strategies from interpersonal psychotherapy. Group IPSRT has not been studied with a transdiagnostic sample of patients across the life span with either major depressive disorder or bipolar disorder. METHODS: Thirty-eight outpatients, ages 26-80, with major depressive disorder or bipolar disorder in any mood state were recruited from clinics in the Netherlands and were treated with 20 sessions (two per week) of group IPSRT. Recruitment results, dropout rates, and session adherence were used to assess feasibility. The modified Client Satisfaction Questionnaire (CSQ) and a feedback session were used to measure treatment acceptability. Changes in mood symptoms, quality of life, and mastery were also measured. RESULTS: Participants' mean±SD age was 65.4±10.0 years. Participants were diagnosed as having major depressive disorder (N=14, 37%) or bipolar disorder (N=24, 63%). The dropout rate was relatively low (N=9, 24%). High CSQ scores (32.3±5.2 of 44.0 points) and low dropout rates indicated the acceptability and feasibility of group IPSRT for major depressive disorder and bipolar disorder. Quality of life 3 months after completion of treatment was significantly higher than at baseline (p<0.01, Cohen's d=-0.69). No significant differences were found between pre- and postintervention depressive symptom scores. CONCLUSIONS: Twice-weekly group IPSRT for older outpatients with major depressive disorder or bipolar disorder was feasible and acceptable. Future research should evaluate the short- and long-term efficacy of group IPSRT for major depressive disorder and bipolar disorder among patients of all ages.

Transition From Substance-Induced Psychosis to Schizophrenia Spectrum Disorder or Bipolar Disorder.

Objective: The authors investigated transitions to schizophrenia spectrum or bipolar disorder following different types of substance-induced psychosis and the impact of gender, age, number of emergency admissions related to substance-induced psychosis, and type of substance-induced psychosis on such transitions. Methods: All patients in the Norwegian Patient Registry with a diagnosis of substance-induced psychosis from 2010 to 2015 were included (N=3,187). The Kaplan-Meier method was used to estimate cumulative transition rates from substance-induced psychosis to either schizophrenia spectrum disorder or bipolar disorder. Cox proportional hazard regression was used to estimate hazard ratios for transitions to schizophrenia spectrum or bipolar disorders associated with gender, age, number of emergency admissions, and type of substance-induced psychosis. Results: The 6-year cumulative transition rate from substance-induced psychosis to schizophrenia spectrum disorder was 27.6% (95% CI=25.6­29.7). For men, the risk of transition was higher among younger individuals and those with either cannabis-induced psychosis or psychosis induced by multiple substances; for both genders, the risk of transition was higher among those with repeated emergency admissions related to substance-induced psychosis. The cumulative transition rate from substance-induced psychosis to bipolar disorder was 4.5% (95% CI=3.6­5.5), and the risk of this transition was higher for women than for men. Conclusions: Transition rates from substance-induced psychosis to schizophrenia spectrum disorder were six times higher than transition rates to bipolar disorder. Gender, age, number of emergency admissions, and type of substance-induced psychosis affected the risk of transition.

The resting metabolic rate of people with severe mental illness: a systematic review and meta-analysis.

People with severe mental illness (SMI), including schizophrenia and related psychoses and bipolar disorder, are at greater risk for obesity compared with people without mental illness. An altered resting metabolic rate (RMR) may be a key driving factor; however, published studies have not been systematically reviewed. This systematic review and meta-analysis aimed to determine whether the RMR of people with SMI assessed by indirect calorimetry differs from (i) controls, (ii) predictive equations and (iii) after administration of antipsychotic medications. Five databases were searched from database inception to March 2022. Thirteen studies providing nineteen relevant datasets were included. Study quality was mixed (62 % considered low quality). In the primary analysis, RMR in people with SMI did not differ from matched controls (n 2, standardised mean difference (SMD) = 0·58, 95 % CI -1·01, 2·16, P = 0·48, I2 = 92 %). Most predictive equations overestimated RMR. The Mifflin-St. Jeor equation appeared to be most accurate (n 5, SMD = -0·29, 95 % CI -0·73, 0·14, P = 0·19, I2 = 85 %). There were no significant changes in RMR after antipsychotic administration (n 4, SMD = 0·17, 95 % CI -0·21, 0·55, P = 0·38, I2 = 0 %). There is little evidence to suggest there is a difference in RMR between people with SMI and people without when matched for age, sex, BMI and body mass, or that commencement of antipsychotic medication alters RMR.

Polygenic Scores and Onset of Major Mood or Psychotic Disorders Among Offspring of Affected Parents.

OBJECTIVE: Family history is an established risk factor for mental illness. The authors sought to investigate whether polygenic scores (PGSs) can complement family history to improve identification of risk for major mood and psychotic disorders. METHODS: Eight cohorts were combined to create a sample of 1,884 participants ages 2-36 years, including 1,339 offspring of parents with mood or psychotic disorders, who were prospectively assessed with diagnostic interviews over an average of 5.1 years. PGSs were constructed for depression, bipolar disorder, anxiety, attention deficit hyperactivity disorder (ADHD), schizophrenia, neuroticism, subjective well-being, p factor, and height (as a negative control). Cox regression was used to test associations between PGSs, family history of major mental illness, and onsets of major mood and psychotic disorders. RESULTS: There were 435 onsets of major mood and psychotic disorders across follow-up. PGSs for neuroticism (hazard ratio=1.23, 95% CI=1.12-1.36), schizophrenia (hazard ratio=1.15, 95% CI=1.04-1.26), depression (hazard ratio=1.11, 95% CI=1.01-1.22), ADHD (hazard ratio=1.10, 95% CI=1.00-1.21), subjective well-being (hazard ratio=0.90, 95% CI=0.82-0.99), and p factor (hazard ratio=1.14, 95% CI=1.04-1.26) were associated with onsets. After controlling for family history, neuroticism PGS remained significantly positively associated (hazard ratio=1.19, 95% CI=1.08-1.31) and subjective well-being PGS remained significantly negatively associated (hazard ratio=0.89, 95% CI=0.81-0.98) with onsets. CONCLUSIONS: Neuroticism and subjective well-being PGSs capture risk of major mood and psychotic disorders that is independent of family history, whereas PGSs for psychiatric illness provide limited predictive power when family history is known. Neuroticism and subjective well-being PGSs may complement family history in the early identification of persons at elevated risk.

Polygenic Risk and Episode Polarity Among Individuals With Bipolar Disorder.

OBJECTIVE: The authors investigated associations between polygenic liabilities for bipolar disorder, major depression, and schizophrenia and episode polarity among individuals with bipolar disorder. METHODS: The sample consisted of 2,705 individuals diagnosed with bipolar disorder at Danish psychiatric hospitals between January 1995 and March 2017. DNA was obtained from dried blood spots collected at birth as part of routine screening. Polygenic risk scores (PRSs) for bipolar disorder, major depression, and schizophrenia were generated using a meta-PRS method combining internally and externally trained components. Associations between PRS and polarity at first episode, polarity at any episode, and number of episodes with a given polarity were evaluated for each disorder-specific PRS using logistic and negative binominal regressions adjusted for the other two PRSs, age, sex, genotype platform, and five ancestral principal components. RESULTS: PRS for bipolar disorder was positively associated with any manic episodes (odds ratio=1.23, 95% CI=1.09-1.38). PRS for depression was positively associated with any depressive (odds ratio=1.11, 95% CI=1.01-1.23) and mixed (odds ratio=1.15, 95% CI=1.03-1.28) episodes and negatively associated with any manic episodes (odds ratio=0.76, 95% CI=0.69-0.84). PRS for schizophrenia was positively associated with any manic episodes (odds ratio=1.13, 95% CI=1.01-1.27), but only when psychotic symptoms were present (odds ratio for psychotic mania: 1.27, 95% CI=1.05-1.54; odds ratio for nonpsychotic mania: 1.06, 95% CI=0.93-1.20). These patterns were similar for first-episode polarity and for the number of episodes within each pole. CONCLUSIONS: PRSs for bipolar disorder, major depression, and schizophrenia are associated with episode polarity and psychotic symptoms in a congruent manner among individuals with bipolar disorder.

Mental Disorders and Oral Diseases: Future Research Directions.

The poor physical health (including oral health) of people with mental disorders is a global problem. The burden of oral diseases among this group is substantial given their high prevalence and ability to increase the personal, social, and economic impacts of mental disorders. This article summarizes causes of mental disorders and oral diseases, critically reviews current evidence on interventions to reduce the burden of oral diseases in people with mental disorders, and suggests future research directions. The relationship between mental disorders and oral diseases is complex due to the shared social determinants and bidirectional interaction mechanisms that involve interconnected social, psychological, behavioral, and biological processes. Research has, to date, failed to produce effective and scalable interventions to tackle the burden of oral diseases among people with mental disorders. Transformative research and actions informed by a dynamic involvement of biological, behavioral, and social sciences are needed to understand and tackle the complex relationship between mental disorders and oral diseases, as well as inform the design of complex interventions. Examples of future research on complex public health, health service, and social care interventions are provided. The design and testing of these interventions should be carried out in real-world settings, underpinned by the principles of coproduction and systems thinking, and conducted by a transdisciplinary team. We propose this starts with setting research priorities and developing complex intervention theory, which we report to support future research to improve oral health and hence physical and mental health in this disadvantaged group.