Suicide attempts in bipolar I and bipolar II disorder: a review and meta-analysis of the evidence

Machine learning applied to the prediction of relapse, hospitalization, and suicide in bipolar disorder using neuroimaging and clinical data: A systematic review

BACKGROUND

Bipolar disorder (BD) is associated with increased morbidity/mortality. Adverse outcome prediction might help with the management of patients with BD.

METHODS

We systematically reviewed the performance of machine learning (ML) studies in predicting adverse outcomes (relapse or recurrence, hospital admission, and suicide-related events) in patients with BD. Demographic, clinical, and neuroimaging-related poor outcome predictors were also reviewed. Three databases (PubMed, Scopus, and Web of Science) were explored from inception to July 2023.

RESULTS

Eighteen studies, accounting for >30,000 patients, were included. Support vector machine, decision trees, random forest, and logistic regression were the most frequently used ML algorithms. ML models' area under the receiver operating characteristic (ROC) curve (AUC), sensitivity, and specificity ranged from 0.71 to 0.98, 72.7-92.8 %, and 59.0-95.2 % for relapse/recurrence prediction (4 studies (3 on relapses and 1 on recurrences). The corresponding values were 0.78-0.88, 21.4-100 %, and 77.0-99.7 % for hospital admissions (3 studies, 21,266 patients), and 0.71-0.99, 44.4-97.9 %, and 38.9-95.0 % for suicide-related events (10 studies, 5558 patients). Also, one study addressed a combination of the interest outcomes. Adverse outcome predictors included early onset BD, BD type I, comorbid psychiatric or substance use disorder, circadian rhythm disruption, hospitalization characteristics, and neuroimaging parameters, including increased dynamic amplitude of low-frequency fluctuation, decreased frontolimbic functional connectivity and aberrant dynamic functional connectivity in corticostriatal circuitry.

CONCLUSIONS

ML models can predict adverse outcomes of BD with relatively acceptable performance measures. Future studies with larger samples and nested cross-validation validation should be conducted to reach more reliable results.

Childhood maltreatment and suicide attempts in major depression and bipolar disorders in South Korea: A prospective nationwide cohort study

BACKGROUND

Childhood maltreatment (CM) is prevalent among patients with mood disorders and considered an important risk factor for suicide in the general population. Despite mood disorders being implicated in up to 60 % of completed suicides, the predictive role of CM on suicide attempt (SA) among early mood disorder patients remains poorly understood.

METHODS

We enrolled 480 participants diagnosed with early-onset major depressive disorder (MDD), bipolar I disorder (BD I), and bipolar II disorder (BD II). Over an average of 60 weeks, participants underwent follow-up assessments at 12-week intervals. Using multivariate logistic regression, we examined the association between CM and SA history at baseline. Further, the Cox proportional hazard model assessed the predictive role of childhood maltreatment in SA during follow-up.

RESULTS

At baseline, 38 % of the total participants reported SA history, with a follow-up prevalence of 10 %. Childhood maltreatment was significantly associated with past SAs and was a robust predictor of future SA, adjusting for relevant clinical risk factors. Emotional abuse and sexual abuse related to SA history, and physical abuse increased future SA risk.

LIMITATIONS

Potential biases in reporting SA and childhood maltreatment, along with unexplored factors such as additional environmental and familial risks, may affect the study's findings.

CONCLUSIONS

Childhood maltreatment emerged as a robust predictor of SA among early-onset mood disorder patients. Systematic evaluation of CM early in the clinical process may be crucial for effective risk management. Additionally, our findings highlight the importance of implementing proactive interventions for CM to prevent the onset of adverse psychological trajectories.

Mood disorders and suicide: pilot study on postmortem toxicologic evidence and adherence to psychiatric therapy by determining blood levels of medications

Suicide is one of the leading causes of death today, and among all mental illness, mood disorders account for one of the main risk factors. It is well known and proven that suicides are very common among people undergoing treatment and prescribed psychiatric medication. So far, however, there have only been a few studies dealing with this particular phenomenon. For this reason, autopsy patients who died by suicide, suffered from a mood disorder, and were known to be taking psychiatric medication at the time of death were selected for this study. The blood and urine samples taken during the autopsy underwent toxicological analysis and the results were compared with the prescribed therapy. A total of 22 people were included in the study: 12 presenting with depression and 10 with bipolar disorder. The toxicological analysis revealed that only 6 cases (27%) showed a qualitative match with the prescribed medication. In 5 cases (22.7%) the medication was only partially complied with and in 11 cases (50%) it was not complied with at all. Furthermore, even when medication was present, the value was often below the therapeutic range. Overall, more than 70% of the test subjects adhered to their medication only partially or not at all. Since treatment adherence is considered as a key factor in reducing the risk of suicide, this inevitably raises relevant clinical and forensic questions. Against this background, prospective monitoring of post-mortem medication levels in suicidal individuals and synergistic collaboration between clinicians and forensic pathologists could help to evaluate the effectiveness of specific medical interventions, highlight existing critical problems and develop new approaches to suicide prevention.

The recurrence of illness (ROI) index is a key factor in major depression that indicates increasing immune-linked neurotoxicity and vulnerability to suicidal behaviors

In this study, we aimed to investigate the associations between the recurrence of illness (ROI) and biomarkers related to an activated immune network, immune-linked neurotoxicity (INT), and a combined INT and atherogenicity index (METAMMUNE). The study involved 67 healthy controls and 66 outpatient MDD (OMDD) participants. We utilized a Multiplex method to measure 48 cytokines and examined INT and METAMMUNE composite scores in association with different ROI indices. Our findings revealed that a ROI index was successfully created by extracting a validated principal component, from the physician-rated or self-declared number of depressive episodes, the frequency of lifetime suicidal ideation and attempts. ROI was significantly associated with INT and METAMMUNE indices, neuroticism, lifetime and current suicidal behaviors, and the phenome. Our analysis also revealed that a significant portion of the variance in the OMDD phenome, which includes current suicidal behaviors, anxiety, and depression, can be accounted for by the regression on INT, ROI, and emotional neglect and abuse. A validated latent construct was successfully extracted from the three ROI components, INT and METAMMUNE indices. The results indicate that increasing ROI indicates heightened immune-metabolic abnormalities, increased risk of suicidal behaviors, and elevated severity of lifetime and current phenome features.

Clinical distinctions in symptomatology and psychiatric comorbidities between misdiagnosed bipolar I and bipolar II disorder versus major depressive disorder

BACKGROUND

To explore the demographic and clinical features of current depressive episode that discriminate patients diagnosed with major depressive disorder (MDD) from those with bipolar I (BP-I) and bipolar II (BP-II) disorder who were misdiagnosed as having MDD .

METHODS

The Mini-International Neuropsychiatric Interview (MINI) assessment was performed to establish DSM-IV diagnoses of MDD, and BP-I and BP-II, previously being misdiagnosed as MDD. Demographics, depressive symptoms and psychiatric comorbidities were compared between 1463 patients with BP-I, BP-II and MDD from 8 psychiatric settings in mainland China. A multinomial logistic regression model was performed to assess clinical correlates of diagnoses.

RESULTS

A total of 14.5% of the enrolled patients initially diagnosed with MDD were eventually diagnosed with BP. Broad illness characteristics including younger age, higher prevalence of recurrence, concurrent dysthymia, suicidal attempts, agitation, psychotic features and psychiatric comorbidities, as well as lower prevalence of insomnia, weight loss and somatic symptoms were featured by patients with BP-I and/or BP-I, compared to those with MDD. Comparisons between BP-I and BP-II versus MDD indicated distinct symptom profiles and comorbidity patterns with more differences being observed between BP-II and MDD, than between BP-I and MDD .

CONCLUSION

The results provide evidence of clinically distinguishing characteristics between misdiagnosed BP-I and BP- II versus MDD. The findings have implications for guiding more accurate diagnoses of bipolar disorders.

Genomic SEM applied to explore etiological divergences in bipolar subtypes

BACKGROUND

Bipolar disorder (BD) is an overarching diagnostic class defined by the presence of at least one prior manic episode (BD I) or both a prior hypomanic episode and a prior depressive episode (BD II). Traditionally, BD II has been conceptualized as a less severe presentation of BD I, however, extant literature to investigate this claim has been mixed.

METHODS

We apply genomic structural equation modeling (Genomic SEM) to investigate divergent genetic pathways across BD's two major subtypes using the most recent GWAS summary statistics from the PGC. We begin by identifying divergences in genetic correlations across 98 external traits using a Bonferroni-corrected threshold. We also use a theoretically informed follow-up model to examine the extent to which the genetic variance in each subtype is explained by schizophrenia and major depression. Lastly, transcriptome-wide SEM (T-SEM) was used to identify neuronal gene expression patterns associated with BD subtypes.

RESULTS

BD II was characterized by significantly larger genetic overlap across non-psychiatric medical and internalizing traits (e.g. heart disease, neuroticism, insomnia), while stronger associations for BD I were absent. Consistent with these findings, follow-up modeling revealed a substantial major depression component for BD II. T-SEM results revealed 35 unique genes associated with shared risk across BD subtypes.

CONCLUSIONS

Divergent patterns of genetic relationships across external traits provide support for the distinction of the bipolar subtypes. However, our results also challenge the illness severity conceptualization of BD given stronger genetic overlap across BD II and a range of clinically relevant traits and disorders.

Prevention of suicidal behavior with lithium treatment in patients with recurrent mood disorders

Suicidal behavior is more prevalent in bipolar disorders than in other psychiatric illnesses. In the last thirty years evidence has emerged to indicate that long-term treatment of bipolar disorder patients with lithium may reduce risk of suicide and attempts, with possibly similar benefits in recurrent major depressive disorder. We review and update selected research literature on effects of lithium treatment in reducing suicidal behavior and consider proposals that higher levels of lithium in drinking water may be associated with lower suicide rates. We summarize results of a growing number of randomized, controlled studies of lithium treatment for suicide prevention including comparisons with placebos or alternative treatments, and comment on the severe challenges of such trials. The basis of a proposed protective effect of lithium against suicidal behaviors remains uncertain but may include protective effects against recurrences of depressive phases of mood disorders, especially with mixed features or agitation, and possibly through beneficial effects on impulsivity, agitation and dysphoric mood.

Longitudinal risk of suicide outcomes in people with severe mental illness following an emergency department visit and the effects of suicide prevention treatment

BACKGROUND

Individuals with severe mental illness (SMI), including bipolar disorder (BD) and schizophrenia-spectrum disorders (SSD), are at high risk for suicide. However, suicide research often excludes individuals with SMI. The current research examined differences in suicide outcomes (i.e., suicide attempt or death) for adults with and without BD and SSD diagnoses following an emergency department (ED) visit and investigated the efficacy of the Coping Long Term with Active Suicide Program (CLASP) intervention in reducing suicide outcomes among people with SMI.

METHODS

1235 adults presenting with recent suicidality were recruited from 8 different EDs across the United States. Using a quasi-experimental, stepped wedge series design, participants were followed for 52-weeks with or without subsequent provision of CLASP.

RESULTS

Participants in the SSD group and the BD group had significantly shorter time to and higher rate of suicide outcomes than participants with other psychiatric diagnoses in all study phases and in non-CLASP phases, respectively. Participants with BD receiving the CLASP intervention had significantly longer time to suicide outcomes than those not receiving CLASP; these differences were not observed among those with SSD.

LIMITATIONS

Study limitations include self-reported psychiatric diagnosis, exclusion of homeless participants, and small sample size of participants with SSD.

CONCLUSIONS

Participants with SMI were at higher risk for suicide outcomes than participants with other psychiatric diagnoses. CLASP was efficacious among those participants with BD. Psychiatric diagnosis may be a key indicator of prospective suicide risk. More intensive and specialized follow-up mental health treatment may be necessary for those with SSD.

White matter integrity in bipolar disorder investigated with diffusion tensor magnetic resonance imaging and fractal geometry

BACKGROUND

Growing evidence suggests the presence of white matter (WM) alterations in bipolar disorder (BD). In this study we aimed to investigate the state of WM structures, in terms of tissue integrity and morphological complexity, in BD patients compared to healthy controls (HC), in an attempt to better elucidate the microstructural changes associated with BD.

METHODS

We collected a dataset of 399 Diffusion Tensor Magnetic Resonance Imaging (167 BD and 232 healthy controls) images, acquired at five different sites, which was processed with Tract-Based Spatial Statistics (TBSS) and fractal analysis.

RESULTS

The TBSS analysis demonstrated significantly lower FA values in the BD group. Diffusion abnormalities were primarily located in the temporo-parietal network. The Fractal Dimension (FD) analysis did not reveal consistent significant differences in the morphological complexity of WM structures between the groups. When the FD values of patients were considered individually, it is possible to notice some localized significant deviations from the healthy population.

LIMITATIONS

DTI sequences have not been harmonized before acquisition, samples' sizes are heterogeneous.

CONCLUSIONS

This study, by applying both TBSS and FD analyses, allows to evaluate diffusion and structural alterations of WM at the same time. The evaluation of WM integrity from these two different perspectives could be useful to better understand the pathophysiological and morphological changes underpinning bipolar disorder.

Targeting the Renin-Angiotensin System (RAS) for Neuropsychiatric Disorders

BACKGROUND

Neuropsychiatric disorders, such as mood disorders, schizophrenia, and Alzheimer's disease (AD) and related dementias, are associated to significant morbidity and mortality worldwide. The pathophysiological mechanisms of neuropsychiatric disorders remain to be fully elucidated, which has hampered the development of effective therapies. The Renin Angiotensin System (RAS) is classically viewed as a key regulator of cardiovascular and renal homeostasis. The discovery that RAS components are expressed in the brain pointed out a potential role for this system in central nervous system (CNS) pathologies. The understanding of RAS involvement in the pathogenesis of neuropsychiatric disorders may contribute to identifying novel therapeutic targets.

AIMS

We aim to report current experimental and clinical evidence on the role of RAS in physiology and pathophysiology of mood disorders, schizophrenia, AD and related dementias. We also aim to discuss bottlenecks and future perspectives that can foster the development of new related therapeutic strategies.

CONCLUSION

The available evidence supports positive therapeutic effects for neuropsychiatric disorders with the inhibition/antagonism of the ACE/Ang II/AT1 receptor axis or the activation of the ACE2/Ang-(1-7)/Mas receptor axis. Most of this evidence comes from pre-clinical studies and clinical studies lag much behind, hampering a potential translation into clinical practice.

Prediction of patient admission and readmission in adults from a Colombian cohort with bipolar disorder using artificial intelligence

Introduction

Bipolar disorder (BD) is a chronically progressive mental condition, associated with a reduced quality of life and greater disability. Patient admissions are preventable events with a considerable impact on global functioning and social adjustment. While machine learning (ML) approaches have proven prediction ability in other diseases, little is known about their utility to predict patient admissions in this pathology.

Aim

To develop prediction models for hospital admission/readmission within 5 years of diagnosis in patients with BD using ML techniques.

Methods

The study utilized data from patients diagnosed with BD in a major healthcare organization in Colombia. Candidate predictors were selected from Electronic Health Records (EHRs) and included sociodemographic and clinical variables. ML algorithms, including Decision Trees, Random Forests, Logistic Regressions, and Support Vector Machines, were used to predict patient admission or readmission. Survival models, including a penalized Cox Model and Random Survival Forest, were used to predict time to admission and first readmission. Model performance was evaluated using accuracy, precision, recall, F1 score, area under the receiver operating characteristic curve (AUC) and concordance index.

Results

The admission dataset included 2,726 BD patients, with 354 admissions, while the readmission dataset included 352 patients, with almost half being readmitted. The best-performing model for predicting admission was the Random Forest, with an accuracy score of 0.951 and an AUC of 0.98. The variables with the greatest predictive power in the Recursive Feature Elimination (RFE) importance analysis were the number of psychiatric emergency visits, the number of outpatient follow-up appointments and age. Survival models showed similar results, with the Random Survival Forest performing best, achieving an AUC of 0.95. However, the prediction models for patient readmission had poorer performance, with the Random Forest model being again the best performer but with an AUC below 0.70.

Conclusion

ML models, particularly the Random Forest model, outperformed traditional statistical techniques for admission prediction. However, readmission prediction models had poorer performance. This study demonstrates the potential of ML techniques in improving prediction accuracy for BD patient admissions.

A characteristic cerebellar biosignature for bipolar disorder, identified with fully automatic machine learning

Background

Transcriptomic profile differences between patients with bipolar disorder and healthy controls can be identified using machine learning and can provide information about the potential role of the cerebellum in the pathogenesis of bipolar disorder.With this aim, user-friendly, fully automated machine learning algorithms can achieve extremely high classification scores and disease-related predictive biosignature identification, in short time frames and scaled down to small datasets.

Method

A fully automated machine learning platform, based on the most suitable algorithm selection and relevant set of hyper-parameter values, was applied on a preprocessed transcriptomics dataset, in order to produce a model for biosignature selection and to classify subjects into groups of patients and controls. The parent GEO datasets were originally produced from the cerebellar and parietal lobe tissue of deceased bipolar patients and healthy controls, using Affymetrix Human Gene 1.0 ST Array.

Results

Patients and controls were classified into two separate groups, with no close-to-the-boundary cases, and this classification was based on the cerebellar transcriptomic biosignature of 25 features (genes), with Area Under Curve 0.929 and Average Precision 0.955. The biosignature includes both genes connected before to bipolar disorder, depression, psychosis or epilepsy, as well as genes not linked before with any psychiatric disease. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed participation of 4 identified features in 6 pathways which have also been associated with bipolar disorder.

Conclusion

Automated machine learning (AutoML) managed to identify accurately 25 genes that can jointly - in a multivariate-fashion - separate bipolar patients from healthy controls with high predictive power. The discovered features lead to new biological insights. Machine Learning (ML) analysis considers the features in combination (in contrast to standard differential expression analysis), removing both irrelevant as well as redundant markers, and thus, focusing to biological interpretation.

How People With a Bipolar Disorder Diagnosis Talk About Personal Recovery in Peer Online Support Forums: Corpus Framework Analysis Using the POETIC Framework

Background

Personal recovery is of particular value in bipolar disorder, where symptoms often persist despite treatment. We previously defined the POETIC (Purpose and Meaning, Optimism and Hope, Empowerment, Tensions, Identity, Connectedness) framework for personal recovery in bipolar disorder. So far, personal recovery has only been studied in researcher-constructed environments (eg, interviews and focus groups). Support forum posts can serve as a complementary naturalistic data resource to understand the lived experience of personal recovery.

Objective

This study aimed to answer the question "What can online support forum posts reveal about the experience of personal recovery in bipolar disorder in relation to the POETIC framework?"

Methods

By integrating natural language processing, corpus linguistics, and health research methods, this study analyzed public, bipolar disorder support forum posts relevant to the lived experience of personal recovery. By comparing 4462 personal recovery-relevant posts by 1982 users to 25,197 posts not relevant to personal recovery, we identified 130 significantly overused key lemmas. Key lemmas were coded according to the POETIC framework.

Results

Personal recovery-related discussions primarily focused on 3 domains: "Purpose and meaning" (particularly reproductive decisions and work), "Connectedness" (romantic relationships and social support), and "Empowerment" (self-management and personal responsibility). This study confirmed the validity of the POETIC framework to capture personal recovery experiences shared on the web and highlighted new aspects beyond previous studies using interviews and focus groups.

Conclusions

This study is the first to analyze naturalistic data on personal recovery in bipolar disorder. By indicating the key areas that people focus on in personal recovery when posting freely and the language they use, this study provides helpful starting points for formal and informal carers to understand the concerns of people diagnosed with a bipolar disorder and to consider how to best offer support.

Help-seeking patterns and level of care for individuals with bipolar disorder in Rwanda

Most descriptive data on individuals with bipolar disorder originate from high-resource settings. Very little is known about the accessibility and service provision of intensive mental health care to persons living with bipolar disorder in low-resource settings. This information is needed to inform health systems and guide practitioners to improve standard treatment options and access to treatment. This cross-sectional study explored the level of care for outpatients with bipolar disorder and their help-seeking patterns at the two national referral hospitals in Rwanda. The study found that the majority, 93%, of outpatients with bipolar disorder in Rwanda were on prophylactic psychopharmacological treatment, but mainly first-generation antipsychotics and just 3% received lithium treatment. Furthermore, there was a lack of psychosocial intervention; consequently, 44% were not aware that they had bipolar disorder. Moreover, 1 in 5 participants utilized or had previously used traditional medicine. Awareness of own diagnostic status was not associated with educational level or use of traditional medicine. The study's sample size of 154 patients is relatively small, and the cross-sectional design does not provide causal inferences. The results demonstrate a considerable unmet need for improved mental health care services for individuals with bipolar disorder in Rwanda, including access to optimal medication and psychosocial interventions. Psychoeducation could be a possible starting point for improving the standard of care, informing the individual on their diagnosis and medication while empowering them to engage in their treatment plan. Trial registration: ClinicalTrials.gov NCT04671225. Registered on November 2020.

Differences in Non-suicidal Self-injury Behaviors between Unipolar Depression and Bipolar Depression in Adolescent Outpatients

OBJECTIVE

Non-suicidal self-injury (NSSI) has a higher prevalence in adolescents with depressive disorders than in community adolescents. This study examined the differences in NSSI behaviors between adolescents with unipolar depression (UD) and those with bipolar depression (BD).

METHODS

Adolescents with UD or BD were recruited from 20 general or psychiatric hospitals across China. The methods, frequency, and function of NSSI were assessed by Functional Assessment of Self-Mutilation. The Beck Suicide Ideation Scale was used to evaluate adolescents' suicidal ideation, and the 10-item Kessler Psychological Distress Scale to estimate the anxiety and depression symptoms.

RESULTS

The UD group had higher levels of depression (19.16 vs.17.37, F=15.23, P<0.001) and anxiety symptoms (17.73 vs.16.70, F=5.00, P=0.026) than the BD group. Adolescents with BD had a longer course of NSSI than those with UD (2.00 vs.1.00 year, Z=-3.39, P=0.001). There were no statistical differences in the frequency and the number of methods of NSSI between the UD and BD groups. Depression (r=0.408, P<0.01) and anxiety (r=0.391, P<0.01) were significantly and positively related to NSSI frequency.

CONCLUSION

Adolescents with BD had a longer course of NSSI than those with UD. More importantly, NSSI frequency were positively and strongly correlated with depression and anxiety symptoms, indicating the importance of adequate treatment of depression and anxiety in preventing and intervening adolescents' NSSI behaviors.

Bipolar II Disorder: Understudied and Underdiagnosed

Despite its inclusion as a distinct entity in APA's Diagnostic and Statistical Manual of Mental Disorders since 1994, bipolar II disorder remains a surprisingly neglected psychiatric condition. Understudied and underrecognized, bipolar II disorder is often misdiagnosed and misunderstood, even by experienced clinicians. As a result, patients typically experience symptoms for more than 10 years before receiving the correct diagnosis. Incorrect diagnosis leads to incorrect treatment, including overuse of monoaminergic antidepressant medications, with resultant declines in functioning and worse quality of life. Perhaps because of its underrecognition, treatment studies of bipolar II disorder are limited, and, too often, results of bipolar I disorder studies are applied to bipolar II disorder, with no direct evidence supporting this practice. Bipolar II disorder is an understudied and unmet treatment challenge in psychiatry. In this review, the authors provide a broad overview of bipolar II disorder, including differential diagnosis, course of illness, comorbid conditions, and suicide risk. The authors summarize treatment studies specific to bipolar II disorder, identifying gaps in the literature. This review reveals similarities between bipolar I and bipolar II disorders, including risks of suicide and predominance of depression over the course of illness, but also differences between the phenotypes in treatment response, for example, to antidepressant medications.

Posting patterns in peer online support forums and their associations with emotions and mood in bipolar disorder: Exploratory analysis

BACKGROUND

Mental health (MH) peer online forums offer robust support where internet access is common, but healthcare is not, e.g., in countries with under-resourced MH support, rural areas, and during pandemics. Despite their widespread use, little is known about who posts in such forums, and in what mood states. The discussion platform Reddit is ideally suited to study this as it hosts forums (subreddits) for MH and non-MH topics. In bipolar disorder (BD), where extreme mood states are core defining features, mood influences are particularly relevant.

OBJECTIVES

This exploratory study investigated posting patterns of Reddit users with a self-reported BD diagnosis and the associations between posting and emotions, specifically: 1) What proportion of the identified users posts in MH versus non-MH subreddits? 2) What differences exist in the emotions that they express in MH or non-MH subreddit posts? 3) How does mood differ between those users who post in MH subreddits compared to those who only post in non-MH subreddits?

METHODS

Reddit users were automatically identified via self-reported BD diagnosis statements and all their 2005-2019 posts were downloaded. First, the percentages of users who posted only in MH (non-MH) subreddits were calculated. Second, affective vocabulary use was compared in MH versus non-MH subreddits by measuring the frequency of words associated with positive emotions, anxiety, sadness, anger, and first-person singular pronouns via the LIWC text analysis tool. Third, a logistic regression distinguished users who did versus did not post in MH subreddits, using the same LIWC variables (measured from users' non-MH subreddit posts) as predictors, controlling for age, gender, active days, and mean posts/day.

RESULTS

1) Two thirds of the identified 19,685 users with a self-reported BD diagnosis posted in both MH and non-MH subreddits. 2) Users who posted in both MH and non-MH subreddits exhibited less positive emotion but more anxiety and sadness and used more first-person singular pronouns in their MH subreddit posts. 3) Feminine gender, higher positive emotion, anxiety, and sadness were significantly associated with posting in MH subreddits.

CONCLUSIONS

Many Reddit users who disclose a BD diagnosis use a single account to discuss MH and other concerns. Future work should determine whether users exhibit more anxiety and sadness in their MH subreddit posts because they more readily post in MH subreddits when experiencing lower mood or because they feel more able to express negative emotions in these spaces. MH forums may reflect the views of people who experience more extreme mood (outside of MH subreddits) compared to people who do not post in MH subreddits. These findings can be useful for MH professionals to discuss online forums with their clients. For example, they may caution them that forums may underrepresent people living well with BD.

Differential characteristics of bipolar I and II disorders: a retrospective, cross-sectional evaluation of clinical features, illness course, and response to treatment

BACKGROUND

The distinction between bipolar I and bipolar II disorder and its treatment implications have been a matter of ongoing debate. The aim of this study was to examine differences between patients with bipolar I and II disorders with particular emphasis on the early phases of the disorders.

METHODS

808 subjects diagnosed with bipolar I (N = 587) or bipolar II disorder (N = 221) according to DSM-IV criteria were recruited between April 1994 and March 2022 from tertiary-level mood disorder clinics. Sociodemographic and clinical variables concerning psychiatric and medical comorbidities, family history, illness course, suicidal behavior, and response to treatment were compared between the bipolar disorder types.

RESULTS

Bipolar II disorder patients were more frequently women, older, married or widowed. Bipolar II disorder was associated with later "bipolar" presentation, higher age at first (hypo)mania and treatment, less frequent referral after a single episode, and more episodes before lithium treatment. A higher proportion of first-degree relatives of bipolar II patients were affected by major depression and anxiety disorders. The course of bipolar II disorder was typically characterized by depressive onset, early depressive episodes, multiple depressive recurrences, and depressive predominant polarity; less often by (hypo)mania or (hypo)mania-depression cycles at onset or during the early course. The lifetime clinical course was more frequently rated as chronic fluctuating than episodic. More patients with bipolar II disorder had a history of rapid cycling and/or high number of episodes. Mood stabilizers and antipsychotics were prescribed less frequently during the early course of bipolar II disorder, while antidepressants were more common. We found no differences in global functioning, lifetime suicide attempts, family history of suicide, age at onset of mood disorders and depressive episodes, and lithium response.

CONCLUSIONS

Differences between bipolar I and II disorders are not limited to the severity of (hypo)manic syndromes but include patterns of clinical course and family history. Caution in the use of potentially mood-destabilizing agents is warranted during the early course of bipolar II disorder.

Status of Type II vs. Type I Bipolar Disorder: Systematic Review with Meta-Analyses

LEARNING OBJECTIVES AFTER PARTICIPATING IN THIS CME ACTIVITY, THE PSYCHIATRIST SHOULD BE BETTER ABLE TO

• Analyze and compare the different bipolar disorder (BD) types.• Identify markers that distinguish BD types and explain how the DSM-IV defines the disorder.

ABSTRACT

Since the status of type II bipolar disorder (BD2) as a separate and distinct form of bipolar disorder (BD) remains controversial, we reviewed studies that directly compare BD2 to type I bipolar disorder (BD1). Systematic literature searching yielded 36 reports with head-to-head comparisons involving 52,631 BD1 and 37,363 BD2 patients (total N = 89,994) observed for 14.6 years, regarding 21 factors (with 12 reports/factor). BD2 subjects had significantly more additional psychiatric diagnoses, depressions/year, rapid cycling, family psychiatric history, female sex, and antidepressant treatment, but less treatment with lithium or antipsychotics, fewer hospitalizations or psychotic features, and lower unemployment rates than BD1 subjects. However, the diagnostic groups did not differ significantly in education, onset age, marital status, [hypo]manias/year, risk of suicide attempts, substance use disorders, medical comorbidities, or access to psychotherapy. Heterogeneity in reported comparisons of BD2 and BD1 limits the firmness of some observations, but study findings indicate that the BD types differ substantially by several descriptive and clinical measures and that BD2 remains diagnostically stable over many years. We conclude that BD2 requires better clinical recognition and significantly more research aimed at optimizing its treatment.

Gene expression alterations in the postmortem hippocampus from older patients with bipolar disorder - A hypothesis generating study

Bipolar disorder (BD) presents with a progressive course in a subset of patients. However, our knowledge of molecular changes in older BD is limited. In this study, we examined gene expression changes in the hippocampus of BD from the Biobank of Aging Studies to identify genes of interest that warrant further exploration. RNA was extracted from the hippocampus from 11 subjects with BD and 11 age and sex-matched controls. Gene expression data was generated using the SurePrint G3 Human Gene Expression v3 microarray. Rank feature selection was performed to identify a subset of features that can optimally differentiate BD and controls. Genes ranked in the top 0.1% with log₂ fold change >1.2 were identified as genes of interest. Average age of the subjects was 64 years old; duration of disease was 21 years and 82% were female. Twenty-five genes were identified, of which all but one was downregulated in BD. Of these, CNTNAP4, MAP4, SLC4A1, COBL, and NEURL4 had been associated with BD and other psychiatric conditions in previous studies. We believe our findings have identified promising targets to inform future studies aiming to understand the pathophysiology of BD in later life.

Clinicodemographic correlates of psychotic features in bipolar disorder - a multicenter study in China

BACKGROUND

Psychotic symptoms are prevalent in patients with bipolar disorder (BD). However, nearly all previous studies on differences in sociodemographic and clinical factors between patients with (BD P +) and without (BD P-) psychotic symptoms were conducted in Western populations, and limited information is known in China.

METHOD

A total of 555 patients with BD from seven centers across China were recruited. A standardized procedure was used to collect patients' sociodemographic and clinical characteristics. The patients were divided into BD P + or BD P- groups based on the presence of lifetime psychotic symptoms. Mann-Whitney U test or chi-square test was used to analyze differences in sociodemographic and clinical factors between patients with BD P + and BD P-. Multiple logistic regression analysis was conducted to explore factors that were independently correlated with psychotic symptoms in BD. All the above analyses were re-conducted after the patients were divided into BD I and BD II group according to their types of diagnosis.

RESULTS

A total of 35 patients refused to participate, and the remaining 520 patients were included in the analyses. Compared with patients with BD P-, those with BD P + were more likely to be diagnosed with BD I and mania/hypomania/mixed polarity in the first mood episode. Moreover, they were more likely to be misdiagnosed as schizophrenia than major depressive disorder, were hospitalized more often, used antidepressants less frequently, and used more antipsychotics and mood stabilizers. Multivariate analyses revealed that diagnosis of BD I, more frequent misdiagnosis as schizophrenia and other mental disorders, less frequent misdiagnosis as major depressive disorder, more frequent lifetime suicidal behavior, more frequent hospitalizations, less frequent use of antidepressants, more frequent use of antipsychotics and mood stabilizers were independently correlated with psychotic symptoms in BD. After dividing the patients into BD I and BD II groups, we observed notable differences in sociodemographic and clinical factors, as well as clinicodemographic correlates of psychotic features between the two groups.

CONCLUSIONS

Differences in clinical factors between patients with BD P + and BD P- showed cross-cultural consistency, but results on the clinicodemographic correlates of psychotic features were not. Notable differences between patients with BD I and BD II were found. Future work exploring the psychotic features of BD needs to take types of diagnosis and cultural differences into consideration.

TRIAL REGISTRATION

This study was first registered on the website of the ClinicalTrials.gov ( https://clinicaltrials.gov/ ) on 18/01/2013. Its registration number is NCT01770704.

Genomic SEM Applied to Explore Etiological Divergences in Bipolar Subtypes

Background

Bipolar Disorder (BD) is an overarching diagnostic class defined by the presence of at least one prior manic episode (BD I) or both a prior hypomanic episode and a prior depressive episode (BD II). Traditionally, BD II has been conceptualized as a less severe presentation of BD I, however, extant literature to investigate this claim has been mixed.

Methods

We apply Genomic Structural Equation Modeling (Genomic SEM) to investigate divergent genetic pathways across BD's two major subtypes using the most recent GWAS summary statistics from the PGC. We begin by identifying divergences in genetic correlations across 89 external traits using a Bonferroni corrected threshold. We also use a theoretically informed follow-up model to examine the extent to which the genetic variance in each subtype is explained by schizophrenia and major depression. Lastly, Transcriptome-wide SEM (T-SEM) was used to identify gene expression patterns associated with the BD subtypes.

Results

BD II was characterized by significantly larger genetic overlap with internalizing traits (e.g., neuroticism, insomnia, physical inactivity), while significantly stronger associations for BD I were limited. Consistent with these findings, the follow-up model revealed a much larger major depression component for BD II. T-SEM results revealed 41 unique genes associated with risk pathways across BD subtypes.

Conclusions

Divergent patterns of genetic relationships across external traits provide support for the distinction of the bipolar subtypes. However, our results also challenge the illness severity conceptualization of BD given stronger genetic overlap across BD II and a range of clinically relevant traits and disorders.

Detailed assessment of suicidal ideation in youth with bipolar disorder versus major depressive disorder

OBJECTIVES

There is a critical need to better understand the factors underlying the increased suicide risk for youth with bipolar disorder (BD) in order to develop targeted prevention efforts. This study aimed to examine differences in characteristics of suicide ideation (SI) in youth with BD compared to youth with major depressive disorder (MDD) that may be associated with increased suicide risk.

METHODS

One hundred and fifty-one participants (92 MDD and 59 BD), ages 13-21, completed a diagnostic interview and clinical assessments. Lifetime symptoms of SI and SA were assessed using the Columbia Suicide Severity Rating Scale. Ordinal logistic regression models were used to investigate whether the diagnostic group predicted the severity and intensity of the most severe or most common SI with the age of onset, age, and gender as covariates.

RESULTS

Compared to MDD youth, BD youth were more likely to report experiencing more severe SI, p = 0.039, experiencing the most severe SI more frequently, p = 0.002, having less control of the most severe SI, p = 0.012, and that deterrents were less likely to stop them from acting on the most severe SI, p = 0.006.

CONCLUSION

This study highlights differences in the severity and intensity of SI in youth with BD and suggests that youth with BD have greater difficulty inhibiting thoughts of SI which may lead to less resistance to suicide action. Findings underscore the need for a more detailed assessment of SI in youth with BD to better understand SI as a proximal risk factor for future SA and a potential target for intervention.

Association of premorbid intelligence with level of functioning and illness severity in bipolar disorder

BACKGROUND

Bipolar disorder is a severe psychiatric syndrome defined by periodic mood shifts. Patients with bipolar disorder show cognitive impairments relative to healthy controls. The risk of developing schizophrenia, and partially also bipolar disorder, has previously been shown to increase with lower premorbid intelligence. It is not known if premorbid intelligence is associated with level of functioning and illness severity of people having developed bipolar disorder.

METHODS

We used multiple linear and ordinal regression to analyze how premorbid intelligence, as measured at conscription, associate with functional outcome and illness severity in Swedish male bipolar disorder patients (n = 788).

RESULTS

We found that lower premorbid intelligence is associated with lower percentage of time in work, after adjusting for age and bipolar subtype, and correcting for multiple comparisons. We also found a strong negative association with the total number of inpatient episodes and psychiatric comorbidity, but not with interepisodic remission, treatment with psychotherapy or lithium or the presence of any complicating socioeconomical factors. Adjusting for confounding genetic factors using polygenic risk scores for bipolar disorder and schizophrenia had no effect on the associations.

LIMITATIONS

This study lacks females and controls and may thus have lower generalizability.

CONCLUSION

In conclusion, premorbid intelligence is associated with both level of functioning and illness severity as well as comorbidity in bipolar disorder patients. Further research is needed to develop targeted interventions for this subgroup of bipolar disorder patients.

Association between parental bipolar disorder and increased risk of exposure to prescription opioids for their offspring

PURPOSE

Individuals with bipolar disorder (BD) may have an increased risk of exposure to prescription opioids. However, it is still unknown whether such risk also occurs in their offspring. This study aimed to investigate the risk of exposure to prescription opioid use and related medical conditions in the offspring of parents with BD.

METHODS

This study used the Taiwan National Health Research Database and included offspring who had any parent with a diagnosis of BD. The matched-control cohort was randomly identified from the offspring of parents without any major psychiatric disorders (MPD). We identified data pertaining to opioid prescription and related medical conditions, namely pain disorder, malignancy, autoimmune disease, and arthropathy. The Poisson regression was used to estimate odds ratios and 95% confidence intervals.

RESULTS

In total, 11,935 offspring of parents with BD and 119,350 offspring of parents without any MPD were included. After controlling for demographics and mental disorders, offspring of parents with BD demonstrated higher rates of prescription opioid use than those of parents without MPD, especially the intravenous/intramuscular form of opioids and prescription in hospital settings. In addition, offspring of parents with BD had a higher odds of pain disorders than those of parents without MPD.

CONCLUSION

Our study identifies a higher odd for developing pain disorders and exposure to prescription opioids among children of parents with BD.

Neural Correlates of the DEEPP (Anti-suicidal Response to Ketamine in Treatment-Resistant Bipolar Depression) Study: Protocol for a Pilot, Open-Label Clinical Trial

BACKGROUND

Suicide is among the top 10 leading causes of death worldwide. Of people who died by suicide, the majority are diagnosed with depression. It is estimated that 25%-60% of people with bipolar depression (BD) will attempt suicide at least once, and 10%-15% will die by suicide. Several treatments, such as lithium, clozapine, electroconvulsive therapy, and cognitive behavioral therapy, have been shown to be effective in treating suicidality. However, these treatments can be difficult to tolerate or may take months to take effect. Ketamine, a glutamate N-methyl-D-aspartate antagonist, has been shown to have rapid antisuicidal effect and antidepressant qualities, and is thus a promising intervention to target acute suicidality in patients with BD. However, the biological mechanism underlying its therapeutic action remains poorly understood. Enhancing our understanding of underlying mechanisms of action for ketamine's effectiveness in reducing suicidality is critical to establishing biological markers of treatment response and developing tailored, personalized interventions for patients with BD.

OBJECTIVE

This is an open-label clinical trial to test the safety and feasibility of repeated ketamine infusions to treat acute suicidality. The primary objective is to test the safety and feasibility of ketamine intervention. The secondary objective is to examine ketamine's potential neurophysiological mechanisms of action by assessing cortical excitation and inhibition to determine potential biomarkers of clinical response. Other objectives are to evaluate the effect of ketamine on acute suicidality and other clinical outcomes, such as depressive symptoms and quality of life, to inform a future larger trial.

METHODS

This open-label clinical trial aims to test the safety and feasibility of repeated ketamine infusions in patients with BD for suicidality and to assess ketamine's neurophysiological effects. A sterile form of racemic ketamine hydrochloride will be administered over a 40-minute intravenous infusion 2 times per week on nonconsecutive days for 4 weeks (8 sessions). We will recruit 30 adults (24-65 year olds) over 2 years from an academic psychiatric hospital in Toronto, Canada.

RESULTS

This study is currently ongoing and actively recruiting participants. So far, 5 participants have completed the trial, 1 is currently in active treatment, and 8 participants are on the waitlist to be screened. We anticipate initial results being available in the fall of 2023. This proposal was presented as a poster presentation at the Research to Reality Global Summit on Psychedelic-Assisted Therapies and Medicine, held in May 2022 in Toronto, Canada.

CONCLUSIONS

Developing effective interventions for acute suicidality in high-risk populations such as those with BD remains a major therapeutic challenge. Ketamine is a promising treatment due to its rapid antidepressant and antisuicidal effects, but its underlying neurophysiological mechanisms of action remain unknown.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05177146; https://clinicaltrials.gov/ct2/show/NCT05177146.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/41013.

Fire and Darkness: On the Assessment and Management of Bipolar Disorder

Bipolar disorder is characterized by recurrent mood episodes, affecting 1% to 2% of the population. Although its defining features are manic and hypomanic episodes, its course is dominated by depressive syndromes. Diagnosis can be challenging owing to symptom overlap with other disorders. Management goals include early and complete remission of acute episodes and the prevention of relapse between episodes. We present an overview of bipolar disorder and its subtypes, including algorithms and suggestions for screening, assessment, and treatment.

Cannabis and Intentional Self-injury: a Narrative Review

Purpose of Review

Observational studies assessing the association of cannabis use with subsequent intentional self-injury have reported mixed findings. Longitudinal studies examining the association of cannabis use with subsequent suicide death are notably rare. Our objective was to review longitudinal studies examining cannabis use and subsequent self-harm, suicide attempt, or suicide death.

Recent Findings

Few population-based studies have focused on self-harm with considerable variability across studies in how this outcome has been operationalized. Studies assessing the association between cannabis use and suicide attempt are equivocal in their conclusions and heterogenous in terms of samples utilized and assessment of confounding bias. The results of one meta-analysis were suggestive of dose dependency. For suicide death, the findings are inconsistent, and there is reason for concern of selection bias.

Summary

The existing evidence base on these associations is not yet rigorous enough to allow drawing conclusions on causality. However, cannabis might be seen as an adverse prognostic marker for intentional self-injury.

In silico analysis of metabolic effects of bipolar disorder on prefrontal cortex identified altered GABA, glutamate-glutamine cycle, energy metabolism and amino acid synthesis pathways

Bipolar disorder (BP) is a lifelong psychiatric condition, which often disrupts the daily life of the patients. It is characterized by unstable and periodic mood changes, which cause patients to display unusual shifts in mood, energy, activity levels, concentration and the ability to carry out day-to-day tasks. BP is a major psychiatric condition, and it is still undertreated. The causes and neural mechanisms of bipolar disorder are unclear, and diagnosis is still mostly based on psychiatric examination, furthermore the unstable character of the disorder makes diagnosis challenging. Identification of the molecular mechanisms underlying the disease may improve the diagnosis and treatment rates. Single nucleotide polymorphisms (SNP) and transcriptome profiles of patients were studied along with signalling pathways that are thought to be associated with bipolar disorder. Here, we present a computational approach that uses publicly available transcriptome data from bipolar disorder patients and healthy controls. Along with statistical analyses, data are integrated with a genome-scale metabolic model and protein-protein interaction network. Healthy individuals and bipolar disorder patients are compared based on their metabolic profiles. We hypothesize that energy metabolism alterations in bipolar disorder relate to perturbations in amino-acid metabolism and neuron-astrocyte exchange reactions. Due to changes in amino acid metabolism, neurotransmitters and their secretion from neurons and metabolic exchange pathways between neurons and astrocytes such as the glutamine-glutamate cycle are also altered. Changes in negatively charged (-1) KIV and KMV molecules are also observed, and it indicates that charge balance in the brain is highly altered in bipolar disorder. Due to this fact, we also hypothesize that positively charged lithium ions may stabilize the disturbed charge balance in neurons in addition to its effects on neurotransmission. To the best of our knowledge, our approach is unique as it is the first study using genome-scale metabolic models in neuropsychiatric research.

Factors associated with lifetime suicide attempts: findings from the bipolar disorder course and outcome study from India (BiD-CoIN study)

AIM

To evaluate the risk factors associated with lifetime suicide attempts in bipolar disorder (BD) patients.

METHODOLOGY

773 BD patients with a duration of illness of at least ten years, currently in clinical remission, were evaluated for suicidal attempts in their lifetime. Those with and without lifetime suicide attempt(s) were compared for various demographic and clinical risk factors.

RESULTS

242 (31.3%) patients had a history of at least one lifetime suicide attempt. Compared to those without lifetime suicide attempts, those with suicidal attempts were less educated, were more often females, spent more time in episodes, and had a significantly more number of total episodes (in the lifetime, first five years of illness, and per year of illness), had significantly more number of total depressive episodes (in the lifetime, first five years of illness, and per year of illness), spent more time in depressive episodes, had more severe depressive episodes, more often had depression as the first episode in the lifetime, spent more time in mania/hypomania/mixed episodes, had higher residual depressive and manic symptoms, more often had rapid cycling affective disorder pattern in the lifetime, use of cannabis in dependence pattern, had poorer insight into their illness and had a higher level of disability (especially in three out of the four domains of Indian disability evaluation assessment scale).

CONCLUSIONS

About one-third of the patients with BD have at least one-lifetime suicidal attempt, and those with suicide attempts usually have a poorer course of illness.

Levetiracetam adjunct to quetiapine for the acute manic phase of bipolar disorder: a randomized, double-blind and placebo-controlled clinical trial of efficacy, safety and tolerability

Unsatisfactory responses to bipolar disorder treatments have necessitated novel therapeutic approaches. Evidence of levetiracetam's effectiveness in mania was reported in previous studies. This study evaluated its efficacy, safety and tolerability as an adjunct to quetiapine in mania. Forty-four patients with Young Mania Rating Scale (YMRS) score ≥20 entered and were randomized to receive levetiracetam plus quetiapine or placebo plus quetiapine for 6 weeks. Patients were assessed using the YMRS and Beck Scale for Suicidal Ideations (BSSI) at baseline and weeks 2, 4 and 6. Changes in the scores, remission rates and response to treatment were compared between the groups. Forty patients completed the trial. The general linear model (GLM) repeated measures demonstrated a significant effect for time × treatment interaction on the YMRS score during the trial (P = 0.04). A greater reduction in YMRS scores was seen in the levetiracetam group compared with the placebo group from baseline to week 4 (P = 0.045). Response to treatment was significantly better in the levetiracetam group (P = 0.046). No significant effect for time × treatment interaction on BSSI score was seen in GLM repeated measures. Finally, there was no significant difference in the frequency of adverse events. Adjunctive levetiracetam is effective, safe and well-tolerated in patients with mania. Further high-quality, large-scale trials are recommended.

Dissecting the genetic architecture of suicide attempt and repeated attempts in Korean patients with bipolar disorder using polygenic risk scores

BACKGROUND

Bipolar disorder (BD) has the greatest suicide risk among mental and physical disorders. A recent genome-wide association study (GWAS) of European ancestry (EUR) samples revealed that the genetic etiology of suicide attempt (SA) was not only polygenic but also, in part, diagnosis-specific. The authors aimed to examine whether the polygenic risk score (PRS) for SA derived from that study is associated with SA or repeated attempts in Korean patients with BD. This study also investigated the shared heritability of SA and mental disorders which showed an increased risk of SA and a high genetic correlation with BD.

METHODS

The study participants were 383 patients with BD. The history of SA was assessed on a lifetime basis. PRSs for reference disorders were calculated using the aforementioned GWAS data for SA and the Psychiatric Genomics Consortium data of BD, schizophrenia, major depressive disorder (MDD), and obsessive-compulsive disorder (OCD).

RESULTS

The PRS for SA was significantly associated with lifetime SA in the current subjects (Nagelkerke's R2 = 2.73%, odds ratio [OR] = 1.36, p = 0.007). Among other PRSs, only the PRS for OCD was significantly associated with lifetime SA (Nagelkerke's R2 = 2.72%, OR = 1.36, p = 0.007). The PRS for OCD was higher in multiple attempters than in single attempters (Nagelkerke's R2 = 4.91%, OR = 1.53, p = 0.043).

CONCLUSION

The PRS for SA derived from EUR data was generalized to SA in Korean patients with BD. The PRS for OCD seemed to affect repeated attempts. Genetic studies on suicide could benefit from focusing on specific psychiatric diagnoses and refined sub-phenotypes, as well as from utilizing multiple PRSs for related disorders.

Suicide and self-injury outcomes for patients with comorbid psychiatric and physical health conditions

Suicide is a transdiagnostic public health issue that affects nearly all psychiatric disorders, individuals without a mental health diagnosis, and individuals with physical health issues. We assessed the relationship between these variables and suicide outcomes using a novel epidemiological research paradigm. Data were collected from the National Trauma Data Bank. Participants included patients admitted to trauma units for suicide and self-injury (n = 13,422). Patients were classified to one of four comorbid condition groups: no comorbidity, comorbid physical condition, comorbid major psychiatric condition, or multimorbidity (comorbid physical and psychiatric conditions). Multivariable logistic regression measured associations between comorbid condition and mortality and multivariable linear regression measured associations between comorbidity and injury severity. Mortality in patients with physical health comorbidity was not significant, but patients with psychiatric comorbidity or multimorbidity had significantly lower mortality than patients without either. No association between injury severity and comorbidity was detected. There were no differences in suicide mortality for individuals with a physical health comorbidity, but mortality was lower for individuals with a comorbid major psychiatric illness or multimorbidity. Since physical health conditions and psychiatric illness are associated with eventual suicide mortality, prevention strategies could target these populations at trauma units for suicide and self-injury admissions.

Influence of childhood maltreatment on prevalence, onset and persistence of psychiatric comorbidities and suicide attempts in bipolar disorders

Background

Methods

Results

Conclusions

[Suicidal behaviors in bipolar disorder type 1]

OBJECTIVES

Bipolar disorder is one of the most common and severe psychiatric conditions. It is frequently complicated by suicidal behaviors, and patients with BD are among those at higher risk of suicide. The aims of our study were to evaluate the predictive factors of suicidal behaviors in patients with BD type 1, through the assessment of their socio-demographic, clinical and evolutionary characteristics as well as to study the implications of the childhood traumas and impulsivity as predictive factors for suicidal behaviors in these patients with bipolar disorder.

METHODS

One hundred patients with bipolar disorder type 1were recruited in order to conduct a cross-sectional, analytical and comparative study. The recruitment involved a first group made up of 40 patients suffering from type 1 bipolar disorder with a history of suicidal acts. This group was compared with a second group made up of 60 patients with no history of attempted suicide. We used a pre-established collection sheet for collecting socio-demographic, clinical and therapeutic data. We also used the Childhood Trauma Questionnaire for the assessment of childhood adversities, the Barratt Impulsivity Scale in its eleventh version for the assessment of impulsivity levels and the Global Assessment of Functioning Scale for the evaluation of overall functioning.

RESULTS

The suicidal behaviors in patients with bipolar disorder were significantly associated with: female gender (P<0.001), professional instability (P=0.002), family history of BD (P=0.02), family history of other psychiatric disorders (P=0.003), frequency of depressive episodes (P=0.002), shorter remission (P=0.025), more subsyndromal symptoms (P=0.029), sexual abuse dimension (P=0.009), and a high level of impulsivity (P<0.001). The predictive factors for suicidal behaviors in multivariate analysis, after adjusting for the confounding variables were: childhood sexual abuse (P=0.01; adjusted OR 4.5; 95% CI 1.44-14.2), a high level of impulsivity (P=0.002; adjusted OR 6.6; 95% CI 2-20), a higher rate of depressive episodes (P=0.003; adjusted OR 5; 95% CI 1.69-14.2) and more subyndromal symptoms (P=0.007; adjusted OR 5.8; 95% CI 1.63-20).

CONCLUSIONS

Suicide prevention is an important mental health subject. It would be imperative to include systematic screening for childhood adversities and adequate management of bipolar disorder and impulsivity.

Suicide prevention in psychiatric patients

An increased risk of suicide has been reported for psychiatric patients. In several world regions, an underlying psychiatric disorder is reported in up to 90% of people who die from suicide, though this rate seems to be considerably lower in low- and middle-income countries. Major psychiatric conditions associated with suicidality are mood disorders, alcohol and substance use disorders, borderline personality disorder, and schizophrenia. Comorbidity between different disorders is frequently associated with a higher suicide risk. A history of suicide attempts, feelings of hopelessness, impulsivity and aggression, adverse childhood experiences, severe psychopathology, and somatic disorders are common risk factors for suicide among psychiatric patients. Stressful life events and interpersonal problems, including interpersonal violence, are often triggers. A comprehensive and repeated suicide risk assessment represents the first step for effective suicide prevention. Particular attention should be paid during and after hospitalization, with the first days and weeks after discharge representing the most critical period. Pharmacological treatment of mood disorders and schizophrenia has been shown to have an anti-suicidal effect. A significant reduction of suicidal thoughts and behavior has been reported for cognitive behavioral therapy and dialectical behavior therapy. Brief interventions, including psychoeducation and follow-ups, are associated with a decrease in suicide deaths. Further development of suicide prevention in psychiatric patients will require a better understanding of additional risk and protective factors, such as the role of a person's decision-making capacity and social support, the role of spiritual and religious interventions, and the reduction of the treatment gap in mental health care.

Personal recovery in bipolar disorder: Systematic review and "best fit" framework synthesis of qualitative evidence - a POETIC adaptation of CHIME

BACKGROUND

Personal recovery, living a satisfying, hopeful life alongside symptoms, has become an increasingly valued aim across mental health care agendas internationally. However, there is little understanding of how people experience personal recovery alongside the mood challenges characteristic of a bipolar disorder diagnosis. Personal recovery frameworks have been developed for populations with mixed psychiatric diagnoses, predominantly psychotic disorders.

METHODS

This systematic review of qualitative data used the widely adopted personal recovery processes Connectedness, Hope and optimism, Identity, Meaning and purpose, Empowerment (CHIME) in a "best fit" framework synthesis to understand personal recovery experiences in bipolar disorder. Included studies were coded with deductive framework analysis based on the CHIME processes and inductive thematic analysis for aspects beyond the a priori framework.

RESULTS

A comprehensive search of six literature databases led to inclusion of twelve articles published 2010-2020. Deductive coding supported the fit with the CHIME framework but revealed difficulties, losses, and tensions within and across recovery processes. The proposed framework for personal recovery in bipolar disorder, Purpose and meaning, Optimism and hope, Empowerment, Tensions, Identity, Connectedness (POETIC), organises all CHIME processes around these tensions.

LIMITATIONS

Diversity among study participants was limited with majority middle-aged, female, Western participants.

CONCLUSIONS

The compact POETIC personal recovery framework tailored for bipolar disorder is directly applicable to clinical practice with personal recovery objectives. It highlights the need for professionals to introduce personal recovery in a realistic and balanced way to address recent criticism by service user organisations of personal recovery as overly optimistic.

The Impact of Coping Strategies on Suicide Attempts and Suicidal Ideation in Bipolar Disorder

ABSTRACT

The stress coping strategies of patients with bipolar disorder (BD) may affect their suicide risk. We examined coping behaviors and impact of coping strategies and clinical characteristics on suicide attempts and lifetime suicidal ideation in patients with BD I, compared with a healthy control group. We recruited 185 euthymic patients with BD and 94 healthy controls. Participants completed the Coping Orientation to Problems Experienced Inventory. Suicide attempt prevalence in patients with BD was around 34%, and frequency of lifetime suicide ideation was around 60%. Binary logistic regression analysis revealed greater use of behavioral disengagement and religious coping strategies among patients with BD, compared with controls. Patients with previous suicide attempts presented a more severe illness course, notably early onset, with more depressive and mixed episodes and a more dysfunctional coping style than nonsuicidal patients. Behavioral interventions can target avoidant coping behavior, such as denial, especially in patients with suicide attempts.

Patients with borderline personality disorder and bipolar disorder: a descriptive and comparative study

BACKGROUND

Bipolar disorder and borderline personality disorder (BPD) are each significant public health problems. It has been frequently noted that distinguishing BPD from bipolar disorder is challenging. Consequently, reviews and commentaries have focused on differential diagnosis and identifying clinical features to distinguish the two disorders. While there is a burgeoning literature comparing patients with BPD and bipolar disorder, much less research has characterized patients with both disorders. In the current report from the Rhode Island Methods to Improve Diagnostic Assessment and Services (MIDAS) project, we compare psychiatric outpatients with both BPD and bipolar disorder to patients with BPD without bipolar disorder and patients with bipolar disorder without BPD.

METHODS

Psychiatric outpatients presenting for treatment were evaluated with semi-structured interviews. The focus of the current study is the 517 patients with both BPD and bipolar disorder (n = 59), BPD without bipolar disorder (n = 330), and bipolar disorder without BPD (n = 128).

RESULTS

Compared to patients with bipolar disorder, the patients with bipolar disorder and BPD had more comorbid disorders, psychopathology in their first-degree relatives, childhood trauma, suicidality, hospitalizations, time unemployed, and likelihood of receiving disability payments. The added presence of bipolar disorder in patients with BPD was associated with more posttraumatic stress disorder in the patients as well as their family, more bipolar disorder and substance use disorders in their relatives, more childhood trauma, unemployment, disability, suicide attempts, and hospitalizations.

CONCLUSIONS

Patients with both bipolar disorder and BPD have more severe psychosocial morbidity than patients with only one of these disorders.

The influence of borderline personality traits on clinical outcomes in bipolar disorder

OBJECTIVES

Systematic reviews suggest comorbid borderline personality disorder is present in approximately 20% of individuals who have bipolar disorder, but current diagnostic systems demonstrate a move towards dimensional rather than categorical approaches to classifying personality pathology. We aimed to examine the presence and severity of borderline personality traits in bipolar I and bipolar II disorder, and to explore associations between the presence/severity of borderline personality traits and clinical outcomes in bipolar disorder.

METHODS

Borderline personality traits were measured in 1447 individuals with DSM-IV bipolar disorder (1008 bipolar I disorder and 439 bipolar II disorder) using the Borderline Evaluation of Severity over Time (BEST) questionnaire. Lifetime clinical outcomes were assessed via Schedules for Clinical Assessment in Neuropsychiatry (SCAN) semi-structured interview and clinical case notes.

RESULTS

Borderline personality traits were common in both bipolar disorder groups, with 86.2% participants reporting at least one trait. These included traits that overlap with (eg mood instability) and those that are distinct from the symptoms of bipolar disorder (eg fear of abandonment). Borderline personality traits were significantly more frequent and more severe in bipolar II disorder compared to bipolar I disorder. More severe borderline traits, and even the presence of a single borderline personality trait, were significantly associated with younger age of bipolar disorder onset and higher prevalence of lifetime alcohol misuse in both bipolar disorder groups.

CONCLUSIONS

The presence of comorbid borderline personality traits should be considered in the management of all patients with bipolar disorder irrespective of whether criteria for a categorical borderline personality disorder diagnosis are met.

Stigma in Bipolar Affective Disorder: A Systematic Quantitative Literature Review of Indian Studies

BACKGROUND

Bipolar affective disorder (BPAD) is one of the most common severe mental illnesses that cause morbidity. Stigma can negatively influence the disease experience in patients with BPAD. Significant differences are observed in the attributes of stigma across the various sociocultural milieus. The current review was thus conducted to compile the evidence regarding the burden and correlates of various forms of stigma in BPAD in India.

METHODS

An exhaustive literature review was conducted in PubMed, MedIND, and Google Scholar to identify Indian studies conducted on stigma in BPAD. The broad themes in various forms of stigma were identified (qualitative analysis). Quantitative analysis of measures of stigma was done, calculating the effect size in BPAD and comparator groups (schizophrenia and anxiety disorders) using standardized mean difference.

RESULTS

Overall, 12 studies could be identified for qualitative analysis, and 5 were used for quantitative analysis. Overall, the current evidence points out that the stigma in BPAD is less than that in schizophrenia but more than that in anxiety disorders. Internalized stigma in BPAD is correlated with poor self-esteem, reduced community participation, and low quality of life. Caregivers of patients with BPAD also experience significant stigma.

CONCLUSIONS

The review shows that stigma in BPAD is substantial. It also draws attention to the fact that the research regarding stigma in BPAD is lagging behind. This review also provides a platform to develop an intervention in the Indian scenario, where further research should be carried out.

Temporal dynamics alterations of spontaneous neuronal activity in anterior cingulate cortex predict suicidal risk in bipolar II patients

Bipolar disorder type II (BD-II) is linked to an increased suicidal risk. Since a prior suicide attempt (SA) is the single most important risk factor for sequent suicide, the elucidation of involved neural substrates is critical for its prevention. Therefore, we examined the spontaneous brain activity and its temporal variabilities in suicide attempters with bipolar II during a major depressive episode. In this cross-sectional study, 101 patients with BD-II, including 44 suicidal attempters and 57 non-attempters, and 60 non-psychiatric controls underwent a resting-state functional magnetic resonance imaging (fMRI). Participants were assessed with Hamilton Rating Scale for Depression (HAMD) and Nurses^, Global Assessment of Suicide Risk (NGASR). The dynamics of low-frequency fluctuation (dALFF) was measured using sliding-window analysis and its correlation with suicidal risk was conducted using Pearson correlation. Compared to non-attempters, suicidal attempters showed an increase in brain activity and temporal dynamics in the anterior cingulate cortex (ACC). In addition, the temporal variabilities of ACC activity positively correlated with suicidal risk (R = 0.45, p = 0.004), while static ACC activity failed to (R = 0.08, p > 0.05). Our findings showed that an aberrant static ALFF and temporal variability could affect suicidal behavior in BD-II patients. However, temporal variability of neuronal activity was more sensitive than static amplitude in reflecting diathesis for suicide in BD-II. Dynamics of brain activity could be considered in developing neuromarkers for suicide prevention.

Clinical and genetic differences between bipolar disorder type 1 and 2 in multiplex families

The two major subtypes of bipolar disorder (BD), BD-I and BD-II, are distinguished based on the presence of manic or hypomanic episodes. Historically, BD-II was perceived as a less severe form of BD-I. Recent research has challenged this concept of a severity continuum. Studies in large samples of unrelated patients have described clinical and genetic differences between the subtypes. Besides an increased schizophrenia polygenic risk load in BD-I, these studies also observed an increased depression risk load in BD-II patients. The present study assessed whether such clinical and genetic differences are also found in BD patients from multiplex families, which exhibit reduced genetic and environmental heterogeneity. Comparing 252 BD-I and 75 BD-II patients from the Andalusian Bipolar Family (ABiF) study, the clinical course, symptoms during depressive and manic episodes, and psychiatric comorbidities were analyzed. Furthermore, polygenic risk scores (PRS) for BD, schizophrenia, and depression were assessed. BD-I patients not only suffered from more severe symptoms during manic episodes but also more frequently showed incapacity during depressive episodes. A higher BD PRS was significantly associated with suicidal ideation. Moreover, BD-I cases exhibited lower depression PRS. In line with a severity continuum from BD-II to BD-I, our results link BD-I to a more pronounced clinical presentation in both mania and depression and indicate that the polygenic risk load of BD predisposes to more severe disorder characteristics. Nevertheless, our results suggest that the genetic risk burden for depression also shapes disorder presentation and increases the likelihood of BD-II subtype development.

Exploring the Evidence Implicating the Renin-Angiotensin System (RAS) in the Physiopathology of Mood Disorders

Mood disorders include Major Depressive Disorder (MDD), Bipolar Disorder (BD) and variations of both. Mood disorders has a public health significance with high comorbidity, suicidal mortality and economic burden on the health system. Research related to mood disorders has evolved over the years to relate it with systemic conditions. The Renin Angiotensin System (RAS) has been noticed to play major physiological roles beyond renal and cardiovascular systems. Recent studies have linked RAS not only with neuro-immunological processes, but also with psychiatric conditions like mood and anxiety disorders. In this comprehensive review, we integrated basic and clinical studies showing the associations between RAS and mood disorders. Animal studies on mood disorders models - either depression or mania - were focused on the reversal of behavioral and/or cognitive symptoms through the inhibition of RAS components like the Angiotensin- Converting Enzyme (ACE), Angiotensin II Type 1 receptor (AT1) or Mas receptors. ACE polymorphisms, namely insertion-deletion (I/D), were linked to mood disorders and suicidal behavior. Hypertension was associated with neurocognitive deficits in mood disorders, which reversed with RAS inhibition. Low levels of RAS components (renin activity or aldosterone) and mood symptoms improvement with ACE inhibitors or AT1 blockers were also observed in mood disorders. Overall, this review reiterates the strong and under-researched connection between RAS and mood disorders.

A retrospective analysis of bipolar depression treated with transcranial magnetic stimulation

INTRODUCTION

Treatment options are limited for patients with bipolar depression. Antidepressants added to mood stabilizers even carry risks of precipitating mixed/manic episodes. Transcranial magnetic stimulation (TMS) may provide a safe and effective option for these patients.

METHODS

Database analysis of the TMS Service at Sheppard Pratt Health System identified patients with bipolar disorder type I (BD1) or II (BD2) in a pure depressive phase at initiation of TMS. Records were reviewed for response and remission rates based on MADRS scores, time to effect, and adverse events, notably treatment-emergent affective switching. All had failed at least two prior treatments for depression, were currently on at least one mood stabilizer and off antidepressants. Stimulation parameters targeted left dorsolateral prefrontal cortex: 120% motor threshold, 10 pulses per second (pps) × 4s, intertrain interval (ITI) 26s, 75 trains (37.5 min/session) for 3,000 pps total, 5 sessions/week for 30 total treatments, or until remission criteria were met.

RESULTS

A total of 44 patients with BD were identified, representing 15% of the total TMS population. 77% of those who completed a course of TMS met response criteria, and 41% of subjects who completed at least 25 treatments met remission criteria. Subjects with BD1 were more likely to respond, remit, or suffer an adverse event than those with BD2. No patient met clinical criteria for a manic/mixed episode, but four (10%) discontinued due to concerns of activation.

CONCLUSIONS

TMS is effective in the bipolar depressed population where episode focused intervention can be specifically offered. Risk of psychomotor agitation must be closely monitored.

Frontolimbic brain volume abnormalities in bipolar disorder with suicide attempts

Over 2.3 million people in the United States live with bipolar disorder. Sixty percent of those with a bipolar disorder diagnosis attempt suicide at least once in their lifetime and up to 19% die by suicide. However, the neurobiology of suicide attempts in bipolar disorder remains unclear. We studied the gray matter volume (GMV) of 81 participants with a bipolar-I diagnosis (age-range: 14-34 years old) and 40 healthy participants (age-range 14.7-32 years old) to compare their neuroanatomy and histories of suicide attempt. In the bipolar group, 42 were manic with ages ranging from 14-30.6 years, and 39 were depressed with ages ranging from 14-34.3 years). Twenty three bipolar participants had a suicide attempt history, and 58 had no suicide attempt history. All participants completed behavioral/diagnostic assessments and MRI. We focused on a predefined frontolimbic circuitry in bipolar disorder versus controls to first identify diagnostic GMV correlates and to specifically identify GMV correlates for suicide attempt history. We found reduced GMV in bipolar diagnosis versus controls in the subgenual cingulate and dorsolateral prefrontal cortices. Our observed regional GMV reductions were associated with histories of suicide attempts and measures of individual variations in current suicidal ideation at the time of scanning.

Factors associated with single versus multiple suicide attempts in depressive disorders

BACKGROUND

Many risk factors for suicidal behavior have been identified. Much less has been done to associate risk factors with recurrence of suicidal behavior.

METHODS

We compared prevalence of 30 potential risk factors among 8496 depressive patient-subjects from the BRIDGE consortium with no (NSA, n = 6267), one (1SA, n = 1123), or repeated (≥2) suicide attempts (RSA, n = 1106).

RESULTS

Prevalence of most factors ranked: RSA ≥ 1SA > NSA, with a notable opposite trend for the diagnosis of type II bipolar disorder (BD). Factors independently and significantly more present among RSA than 1SA subjects were: borderline personality, substance abuse, mood-switching with antidepressant treatment, female sex, and unsatisfactory response to antidepressant treatment. There also were notably strong associations of RSA with type I or probable BD and associated factors, including family history of BD, young onset, mixed and psychotic features.

LIMITATIONS

Potential effects of treatment on risk of suicidal acts could not be evaluated adequately, as well as associations between levels of suicidal behavior and eventual death by suicide.

CONCLUSIONS

In a large cohort of depressive patients, there were significant associations not only with suicidal behavior generally, but also with the intensity of suicide attempts.

The feasibility of mindfulness-based cognitive therapy for people with bipolar disorder: a qualitative study

Background

Mindfulness- Based Cognitive Therapy (MBCT) could be a promising psychosocial intervention for people with bipolar disorder (BD). However, little is known about the feasibility of MBCT for people with BD. In this study we explore the facilitators and barriers people with BD experience of an adapted MBCT program.

Method

This qualitative study is part of a large, multicenter randomized controlled trial on MBCT for BD (trial registration number: NCT03507647). The present study included 16 participants with BD who participated in an 8-week adapted MBCT program. Semi- structured interviews exploring the feasibility, with a particular focus on the bipolar symptoms, were recorded verbatim, transcribed and analyzed. For reasons of triangulation, teachers were interviewed as well.

Results

Participants reported different barriers and facilitators of MBCT, both generally as well as with regard to their bipolar disorder. Four key themes arose: the training itself, psychosocial factors, personal characteristics and the bipolar disorder. Themes were further divided in subthemes.

Conclusion

The adapted MBCT program seemed to be feasible for people with BD. Depressive symptoms often acted as a barrier for participating in MBCT, suggesting that participants might need additional support when depressed. Manic symptoms could act both as a barrier and facilitator, suggesting that the occurrence of (hypo)mania does not necessarily have to be an exclusion criterion for participation. Further clinical and research implications are suggested.

Trial registration: ClinicalTrials.gov, NCT03507647. Registered 25th of April 2018, https://clinicaltrials.gov/ct2/show/NCT03507647.

Suicidal Ideation and Insomnia in Bipolar Disorders: Idéation suicidaire et insomnie dans les troubles bipolaires

OBJECTIVE

Bipolar disorder (BD) confers elevated suicide risk and associates with misaligned circadian rhythm. Real-time monitoring of objectively measured sleep is a novel approach to detect and prevent suicidal behavior. We aimed at understanding associations between subjective insomnia and actigraphy data with severity of suicidal ideation in BDs.

METHODS

This prospective cohort study comprised 76 outpatients with a BD aged 18 to 65 inclusively. Main measures included 10 consecutive days of wrist actigraphy; the Athens Insomnia Scale (AIS); the Montgomery-Åsberg Depression Rating Scale (MADRS); the Quick Inventory of Depressive Symptoms-16, self-rating (QIDS-SR-16); and the Columbia Suicide Severity Rating Scale. Diagnoses, medications, and suicide attempts were obtained from chart review.

RESULTS

Suicidal ideation correlated moderately with subjective insomnia (AIS with QIDS-SR-16 item 12 ρ =0.26, P = 0.03; MADRS item 10 ρ = 0.33, P = 0.003). Graphical sleep patterns showed that suicidal patients were enriched among the most fragmented sleep patterns, and this was confirmed by correlations of suicidal ideation with actigraphy data at 2 visits. Patients with lifetime suicide attempts (n = 8) had more varied objective sleep (a higher standard deviation of center of daily inactivity [0.64 vs. 0.26, P = 0.01], consolidation of daily inactivity [0.18 vs. 0.10, P = <0.001], sleep offset [3.02 hours vs. 1.90 hours, P = <0.001], and total sleep [105 vs. 69 minutes, P = 0.02], and a lower consolidation of daily inactivity [0.65 vs. 0.79, P = 0.03]).

CONCLUSIONS

Subjective insomnia, a nonstigmatized symptom, can complement suicidality screens. Longer follow-ups and larger samples are warranted to understand whether real-time sleep monitoring predicts suicidal ideation in patient subgroups or individually.