Risk factors for suicide in bipolar disorder: a systematic review

Improving Suicidal Ideation Detection in Social Media Posts: Topic Modeling and Synthetic Data Augmentation Approach

BACKGROUND

In an era dominated by social media conversations, it is pivotal to comprehend how suicide, a critical public health issue, is discussed online. Discussions around suicide often highlight a range of topics, such as mental health challenges, relationship conflicts, and financial distress. However, certain sensitive issues, like those affecting marginalized communities, may be underrepresented in these discussions. This underrepresentation is a critical issue to investigate because it is mainly associated with underserved demographics (eg, racial and sexual minorities), and models trained on such data will underperform on such topics.

OBJECTIVE

The objective of this study was to bridge the gap between established psychology literature on suicidal ideation and social media data by analyzing the topics discussed online. Additionally, by generating synthetic data, we aimed to ensure that datasets used for training classifiers have high coverage of critical risk factors to address and adequately represent underrepresented or misrepresented topics. This approach enhances both the quality and diversity of the data used for detecting suicidal ideation in social media conversations.

METHODS

We first performed unsupervised topic modeling to analyze suicide-related data from social media and identify the most frequently discussed topics within the dataset. Next, we conducted a scoping review of established psychology literature to identify core risk factors associated with suicide. Using these identified risk factors, we then performed guided topic modeling on the social media dataset to evaluate the presence and coverage of these factors. After identifying topic biases and gaps in the dataset, we explored the use of generative large language models to create topic-diverse synthetic data for augmentation. Finally, the synthetic dataset was evaluated for readability, complexity, topic diversity, and utility in training machine learning classifiers compared to real-world datasets.

RESULTS

Our study found that several critical suicide-related topics, particularly those concerning marginalized communities and racism, were significantly underrepresented in the real-world social media data. The introduction of synthetic data, generated using GPT-3.5 Turbo, and the augmented dataset improved topic diversity. The synthetic dataset showed levels of readability and complexity comparable to those of real data. Furthermore, the incorporation of the augmented dataset in fine-tuning classifiers enhanced their ability to detect suicidal ideation, with the F1-score improving from 0.87 to 0.91 on the University of Maryland Reddit Suicidality Dataset test subset and from 0.70 to 0.90 on the synthetic test subset, demonstrating its utility in improving model accuracy for suicidal narrative detection.

CONCLUSIONS

Our results demonstrate that synthetic datasets can be useful to obtain an enriched understanding of online suicide discussions as well as build more accurate machine learning models for suicidal narrative detection on social media.

Emotional memory biases in bipolar depressed patients with high suicide risk

Emotional memory bias, a neurocognitive deficit commonly observed in mood disorders, refers to the tendency to remember emotionally charged information more precisely than healthy individuals. While this phenomenon has been explored in various psychiatric conditions, its specific relationship with suicide risk in patients with bipolar disorder during major depressive episodes remains unknown. Given the high prevalence of suicide in bipolar disorder, this study sought to examine the association between emotional memory bias and suicide risk in patients with bipolar depression. A recognition memory task was utilized, where participants (51 high-risk, 21 low-risk) viewed words with positive or negative valence and later identified whether they had been previously presented. Mixed-model analyses of covariance, controlling for age and depression severity, revealed that the high-risk group demonstrated a stronger bias toward negative stimuli. They exhibited more accurate recognition of negative words ("hits") and a higher tendency to incorrectly identify non-presented negative words as presented ("false alarms") compared to the low-risk group. These findings suggest that heightened emotional memory bias, particularly toward negative information, may be a key cognitive marker of suicide risk in patients with bipolar depression. Understanding this bias may inform targeted interventions aimed at reducing suicide risk in this population.

The effect of childhood trauma on bipolar depression

Childhood trauma (CT) is associated with an earlier onset and a more severe course of bipolar disorder (BD). However, the specific impact of CT on bipolar depression remains unclear. Herein, this study aimed to investigate the effect of CT using depressive episode frequency as a threshold for disease burden and severity. A cohort of 146 participants with BD was followed for 3 years. The effects of CT on mood episodes, hospital readmissions, suicidal ideation, and behavior were analyzed. A high number of depressive episodes were identified in participants with BD and CT exposure, with the effect being more pronounced in BD II than in BD I. A threshold of ≥4 depressive episodes serves as a sensitivity cutoff point to detect associations with severe outcomes, such as early readmission and suicidal ideation and behavior. The presence of CT increases the risk of experiencing at least one severe outcome by 80%. In our cohort, a cutoff point of ≥4 depressive episodes mediated the effect of CT on at least one severe outcome (early readmission or suicidal ideation and behavior). The study is limited by its non-probabilistic sample, recall bias, and moderate receiver operating characteristic curve value. The findings reinforce the association between CT and BD severity, highlighting the significantly higher number of depressive episodes in individuals with CT. This underscores CT as a risk factor for depressive predominant polarity and more frequent mood episodes in BD.

Machine learning-based assessment of morphometric abnormalities distinguishes bipolar disorder and major depressive disorder

INTRODUCTION

Bipolar disorder (BD) and major depressive disorder (MDD) have overlapping clinical presentations which may make it difficult for clinicians to distinguish them potentially resulting in misdiagnosis. This study combined structural MRI and machine learning techniques to determine whether regional morphological differences could distinguish patients with BD and MDD.

METHODS

A total of 123 participants, including BD (n = 31), MDD (n = 48), and healthy controls (HC, n = 44), underwent high-resolution 3D T1-weighted imaging. Cortical thickness, surface area, and subcortical volumes were measured using FreeSurfer software. Common and classic machine learning models were utilized to identify distinct morphometric alterations between BD and MDD.

RESULTS

Significant morphological differences were observed in both common and distinct brain regions between BD, MDD, and HC. Specifically, abnormalities in the amygdala, thalamus, medial orbitofrontal cortex and fusiform were observed in both BD and MDD compared with HC. Relative to HC, unique differences in BD were identified in the lateral occipital and inferior/middle temporal regions, whereas MDD exhibited differences in nucleus accumbens and middle temporal regions. BD exhibited larger surface area in right middle temporal gyrus and greater right nucleus accumbens volume compared to MDD. The integration of two-stage models, including deep neural network (DNN) and support vector machine (SVM), achieved an accuracy rate of 91.2% in discriminating individuals with BD from MDD.

CONCLUSION

These findings demonstrate that structural MRI combined with machine learning techniques can accurately discriminate individuals with BD from MDD, and provide a foundation supporting the potential of this approach to improve diagnostic accuracy.

Mental and Behavioral Disorders, Comorbidity, and Self-Harm: Results From Korea National Hospital Discharge In-Depth Injury Survey

OBJECTIVE

Suicide is a complex issue influenced by various factors, including mental illness, economic, and cultural elements. Mental and behavioral disorders are significant contributors to suicide risk, and individuals who attempt self-harm often present with comorbidities. This study aims to identify the significance of characteristics and comorbidities among hospitalized patients who engaged in self-harm and have been diagnosed with mental and behavioral disorders.

METHODS

We targeted patients aged 19 or older who attempted self-harm and were hospitalized from the 2022 Korea National Hospital Discharge In-depth Injury Survey covering the period from 2008 to 2021. After applying sampling weights, the estimated total sample size was 10,140. The analysis was conducted using a general linear model for complex samples, incorporating analysis of variance and regression analyses. Additionally, network analysis was used to explore relationships among comorbidities.

RESULTS

The incidence of self-harm varied seasonally, peaking in spring, with higher rates observed in winter. Hospitalization duration was significantly longer when surgical interventions were required or when comorbidities were present. The average length of hospitalization was 20.52 days, but patients with alcohol-related addictions had a significantly longer stay (71.57 days). For each additional comorbidity, the hospitalization duration increased by 1.889 days. About 46.78% of patients had one or more comorbidities, with strong associations between mental disorders (F00-F99) and cases of poisoning or external injuries (S00-T98).

CONCLUSION

This study underscores the importance of managing comorbidities in patients with mental illness to reduce the clinical and social costs of self-harm.

Associations between NIH Toolbox Emotion Battery measures and previous suicide attempt in bipolar I disorder

Suicide attempts are more prevalent in people with bipolar I disorder (BD-I) than in the general population. Most prior studies of suicide in BD-I have focused on separate emotion-related assays or clinician-administered scales, whereas a single, brief, and multidimensional battery of self-report measures has not yet been explored. Here, we utilized the NIH Toolbox Emotion Battery (NIHTB-EB) to assess various emotional measures, determine which were cross-sectionally associated with prior suicide attempt in BD-I, evaluate whether the NIHTB-EB could be used to identify past suicide attempt in BD-I with machine learning, and compare model performance versus using clinical mood scales. The study included 39 participants with BD-I and history of suicide attempt, 48 with BD-I without history of suicide attempt, and 58 controls. We found that 9 of the 17 measures were associated with past suicide attempt in BD-I. The initial random forest model indicated that the most important distinguishing variables were perceived stress, emotional support, anger-hostility, anger-physical aggression, perceived rejection, loneliness, and self-efficacy. Overall, the models utilizing NIHTB-EB measures performed better (69.0 % to 70.1 % accuracy) than the model containing clinical mood scale information without the NIHTB-EB measures (57.5 % accuracy). These findings suggest the NIHTB-EB could be a useful and easy-to-deploy tool in understanding the role of emotion-related measures in suicide in BD-I. Furthermore, these results highlight specific emotional subdomains that could be promising targets for longitudinal studies or interventions aimed at reducing suicide in BD-I.

Integrating Social Determinants With the Interpersonal Theory of Suicide in a Study of Bipolar Outpatients

INTRODUCTION

Bipolar disorder, socioeconomic deprivation, and social isolation are major risk factors for suicide. The interpersonal theory of suicide (IPTS) posits perceived burdensomeness and thwarted belongingness as proximal causes of suicidal thoughts and behaviors, while the social determinants of health (SDOH) framework highlights distal socioeconomic factors. Studies of suicidality in bipolar disorder have used the IPTS and the SDOH framework, but few have integrated them to explore connections between distal and proximal factors.

METHODS

This study examined perceived burdensomeness and thwarted belongingness as mediators of the relationship between cumulative socioeconomic risk and suicide risk. Participants were 171 outpatients in a United States (U.S.) bipolar clinic (mean age = 39.0, 69.6% female, 73.7% Black/African American).

RESULTS

Cumulative socioeconomic risk, perceived burdensomeness, and thwarted belongingness were positively associated with suicide risk. Perceived burdensomeness mediated the relationship between cumulative socioeconomic risk and suicide risk, but thwarted belongingness did not.

CONCLUSION

Findings broadly suggest the IPTS and the SDOH framework can be fruitfully integrated to guide research and prevent suicide. The pathway from cumulative socioeconomic risk to suicide risk via perceived burdensomeness warrants further attention, particularly for individuals diagnosed with bipolar disorder. Implications for future studies of the IPTS, SDOH, and suicidality are discussed.

Prevalence and correlates of non-suicidal self-injury among patients with bipolar disorder: A multicenter study across China

BACKGROUND

Non-suicidal self-injury (NSSI) is increasingly prevalent among patients with bipolar disorder (BD), raising concerns in psychology and mental health. Investigating the incidence and factors associated with NSSI is crucial for developing prevention and intervention strategies.

METHODS

NSSI behaviors were identified using the Ottawa Self-injury Inventory. The Clinically Useful Depression Outcome Scale supplemented with questions for the DSM-5 specifier of mixed features (CUDOS-M) and the Mini International Neuropsychiatric Interview (Hypo-)Manic Episode with Mixed Features-DSM-5 Module (MINI-M) were used to evaluate clinical symptoms. Non-parametric tests, chi-square tests, point-biserial correlation and logistic regression analyses were employed for the purposes of data analysis.

RESULTS

The enrolled sample comprised 1044 patients with BD from 20 research centers across China. Out of 1044 individuals, 446 exhibited NSSI behaviors, with 101 of them being adolescents, leading to a prevalence of 78.3 % among adolescent patients. The most common methods for females and males were "cutting" (41.2 %) and "hitting" (34.7 %), respectively. By binary logistic regression analysis, young age, female, bipolar type II disorder, with suicidal ideation and mixed states, depressive symptoms and without family history of mental disorder were correlates of NSSI in patients with BD (P < 0.05).

LIMITATIONS

As a cross-sectional study, causality between NSSI behaviors and associated factors cannot be established. Reporting and recall biases may occur due to self-rating scales and retrospective reports.

CONCLUSION

Our study indicates a concerning prevalence of NSSI, particularly among young patients with BD in China. Future research should focus on understanding NSSI behaviors in this population and developing effective interventions.

Suicide risk among adult subjects hospitalized in an acute psychiatric ward: 6-year retrospective investigation

BACKGROUND

The phenomenon of suicide risk (SR) represents a psychiatric, social and environmental emergency. The acute psychiatric ward as the Italian Service for Psychiatric Diagnosis and Care (SPDC) represents the place where SR is high due to the acute and serious conditions of people hospitalized. The objective of this study was to evaluate the characteristics of subjects admitted to a SPDC over a 6-year period for SR represented by: suicidal ideation, attempted and failed suicide.

METHODS

With a retrospective single-center observational design, we collected hospitalizations from 01/01/2017 to 31/12/2022 in the SPDC of AUSL-Modena for SR, analyzed the modality of SR and compared the demographic and clinical variables of subjects with SR with those hospitalized for other clinical reasons in the same period. Data were statistically analyzed.

RESULTS

In the 6-year of study period, we collected 2,930 hospitalizations in the SPDC of AUSL- Modena and among them, 68% (n = 528) were carried out due to SR, which represented the second leading cause of hospitalization (18%), in particular among females (Pearson Chi2 = 17.41, p < 0.001). Individuals with SR were more frequently voluntary admitted (Pearson Chi2 = 215.41, p < 0.001) for a shorter period (7.36 ± 8.16 vs 11.66 ± 15.93, t = 6.03, t-test, p < 0.001) and less frequently repeated the hospitalization during the study period for the same reason (Pearson Chi2 = 6.0, p = 0.014). The most frequent psychiatric disorders associated with SR were depressive, personality and adjustment disorders, which represented the most common factor associated with SR (68%), followed by family/relationship problems (12%) and alcohol/substance abuse (8%). We highlighted three kinds of suicidal risk: suicidal ideation (40%), often associated with personality disorders and substance use disorders, drug ingestion (30%) concomitant with conflicting family relationships and use of violent means (30%) associated with depressive disorders (Pearson Chi2 = 42.83, p = 0.002).

CONCLUSIONS

Our study provides a real-world setting evaluation of subjects hospitalized for SR and, in accordance with literature, suggests that suicidal behavior is the product of many clinical and social factors' interaction, that occurred in a crucial moment of life in vulnerable individuals. The identification of subjects at SR represents the first step of preventive multi-professional interventions.

Suicide Rates and Subgroups With Elevated Suicide Risk Among Patients With Psychiatric Disorders: A Nationwide Cohort Study in Korea

BACKGROUND

Despite the distinctly high risk of suicide among patients with psychiatric disorders, little is known regarding the nationwide rates and risk factors for suicide among individual subgroups of patients with psychiatric disorders. This study aimed to assess differences in suicide rates and identify risk factors for suicide across multiple psychiatric diseases using data from a nationally representative cohort in Korea.

METHODS

Six groups of incident patients with psychiatric disorders, namely those with drug use disorder (DUD), alcohol use disorder (AUD), schizophrenia (SCZ), bipolar disorder (BD), depressive disorder (DD), or other affective disorders (OADs), were extracted from the National Health Information Database and followed up. Suicide rates and risk factors were then determined for each disease group.

RESULTS

Patients with psychiatric disorders had higher suicide rates than did the general population, with standardized mortality ratios (SMRs) ranging from 2.5 to 16.6. In particular, patients with DUD showed markedly higher suicide rate (584.0 per 100,000 person-years [PYs]; SMR, 16.6) than did patients with affective disorders, including DD (119.8 per 100,000 PYs; SMR, 3.1). AUD, DUD, SCZ, and BD showed lower male/female suicide rate ratios (1.1-1.4) than did depressive and OADs (2.2-2.4). Old age increased the risk for suicide among those with DUD and OADs, while medical aid recipients exhibited the lowest suicide risk among those with the AUD and SCZ. Male sex and the presence of multiple psychiatric comorbidities were consistently identified as suicide risk factors across mental illness subgroups.

CONCLUSION

The current study observed substantial variations in suicide rates and risk factors across psychiatric disorders and patient characteristics, which have significant implications for suicide prevention strategies.

Estimating the direct effects of the genetic liabilities to bipolar disorder, schizophrenia, and behavioral traits on suicide attempt using a multivariable Mendelian randomization approach

Bipolar disorder (BD) and schizophrenia (SZ) are associated with higher odds of suicide attempt (SA). In this study, we aimed to explore the effect of BD and SZ genetic liabilities on SA, also considering the contribution of behavioral traits, socioeconomic factors, and substance use disorders. Leveraging large-scale genome-wide association data from the Psychiatric Genomics Consortium (PGC) and the UK Biobank (UKB), we conducted a two-sample Mendelian randomization (MR) analysis to evaluate the putative causal effect of BD (41,917 cases, 371,549 controls) and SZ (53,386 cases, 77,258 controls) on SA (26,590 cases, 492,022 controls). Then, we assessed the putative causal effect of BD and SZ on behavioral traits, socioeconomic factors, and substance use disorders. Considering the associations identified, we evaluated the direct causal effect of behavioral traits, socioeconomic factors, and substance use disorders on SA using a multivariable MR approach. The genetic liabilities to BD and SZ were associated with higher odds of SA (BD odds ratio (OR) = 1.24, p = 3.88 × 10-12; SZ OR = 1.09, p = 2.44 × 10-20). However, while the effect of mental distress (OR = 1.17, p = 1.02 × 10-4) and risk-taking (OR = 1.52, p = 0.028) on SA was independent of SZ genetic liability, the BD-SA relationship appeared to account for the effect of these risk factors. Similarly, the association with loneliness on SA was null after accounting for the effect of SZ genetic liability. These findings highlight the complex interplay between genetic risk of psychiatric disorders and behavioral traits in the context of SA, suggesting the need for a comprehensive mental health assessment for high-risk individuals.

Latent Profile Analysis of Suicidal Ideation in Chinese Individuals with Bipolar Disorder

Individuals with bipolar disorder (BD) have a greater suicide risk than the general population. In this study, we employed latent profile analysis (LPA) to explore whether Chinese individuals with different phases of BD differed at the levels of suicidal ideation. We recruited 517 patients. Depressive symptoms were measured using the 24-item Hamilton Depression Rating Scale (HAMD-24), and manic symptoms were evaluated using the Young Mania Rating Scale (YMRS). The extent of suicidal thoughts was determined through the Beck Scale for Suicide Ideation (BSSI). The scores of HAMD and YMRS were used to perform LPA. LPA categorized participants into three classes: one exhibiting severe depressive and mild manic symptomatology, another showing severe depressive and severe manic symptomatology, and the third one displaying severe depressive and intermediate manic symptomatology. Suicidal ideation levels were found to be remarkably elevated across all three classes. Additionally, the three classes showed no significant differences in terms of suicidal ideation. Our research confirms the link between depressive symptoms and suicide, independent of the manic symptoms. These findings carry meaning as they provide insight into the suicide risk profiles within different phases of BD.

Do bipolar disorder symptom profiles matter for suicide risk? A latent class approach to investigating differences in suicidal desire and acquired capability

INTRODUCTION

Depressive and mixed symptoms in bipolar disorder (BD) have been linked to higher suicide risk. Based on Klonsky and May's three-step theory and Joiner's Interpersonal Psychological Theory of Suicide, we hypothesized that patients diagnosed with BD who reported severe levels of depressive symptoms and mixed depressive and manic symptoms would also report higher levels of suicidal desire and acquired capability of suicide, as well as suicidal thoughts and behaviors.

METHODS

The sample included 177 outpatients diagnosed with BD. Latent class analysis was conducted to replicate the identified groups of a previously conducted study using a smaller but overlapping dataset. Between-class and pairwise analyses with measures of suicidal desire and acquired capability were conducted.

RESULTS

As expected, the classes characterized by severe depressive symptoms and mixed symptoms reported higher levels of suicidal desire. However, the results regarding acquired capability were less consistent.

CONCLUSION

Given the overall elevated suicide risk of BD and the consistent relationship between depressive symptoms and other strong correlates of suicide, clinicians who work with patients diagnosed with BD should closely monitor changes in their depressive symptoms.

Depressive disorder, bipolar disorder, and associated factors among adults, in the Eastern part of Ethiopia

BACKGROUND

Depressive disorder is one of the severe and common mental illnesses in the general population. Bipolar disorder is a severe, persistent mental illness associated with significant morbidity and mortality. However, there is a paucity of data on the prevalence of depressive disorder, and bipolar disorder in our study area.

OBJECTIVE

This study aimed to assess the prevalence of depressive and bipolar disorders among adults in Kersa, Haramaya, and Harar Health and Demographic Surveillance Sites in Eastern Ethiopia.

METHODS

A community-based cross-sectional study was conducted among 1,416 participants. A multi-stage sampling was employed to select the participants. DSM-5 diagnostic criteria was used to assess depressive disorder and bipolar disorder. Data was collected using a standard questionnaire. Data were entered into Epi-Data 3.1 and analyzed using SPSS version 26. Both binary and multivariate logistic regression analyses were done. Those with a p-value < 0.05 in the final model were considered statistically significant.

RESULTS

The overall prevalence of depressive and bipolar disorders among our study participants was 6.7% (95% CI: 5.40, 8.20) and 2.1% (95% CI: (1.40, 3.00), respectively. The independent predictors of depressive disorder included a family history of mental illness, chronic medical illnesses, unemployment, low educational status, divorced or widowed, poor social support, and current alcohol use or khat chewing. Single, males, divorced or widowed, and current consumers of alcohol were independent predictors for bipolar disorder.

CONCLUSIONS AND RECOMMENDATION

The results of our investigation showed that bipolar illness and depression were significant public health issues. It was shown that although bipolar disorder is highly prevalent in the society, depression is a widespread concern. As a result, it is imperative that the relevant body grow and enhance the provision of mental health services. Furthermore, research on the effects and burdens of bipolar disorder in the community is required.

Characteristics of suicide attempts in Northwestern Iran: a five-year population-based survey

BACKGROUND

Suicide is a serious public health problem in the world. This study aims to describe the characteristics of suicide attempters in North-Western Iran and identify latent classes of suicide attempts.

METHODS

This cross-sectional study was conducted in Ardabil Province (Northwest Iran) during 2017-2021 based on a registration system for suicide attempts. We performed latent class analysis (LCA) using a procedure for LCA (PROC LCA) in SAS to investigate the subgroups of suicide attempters based on their characteristics and method, history, and outcome of suicide.

RESULTS

Three latent classes were identified for males and females; the first class (non-lethal attempters with lower educational levels) comprised 41.3% of males and 55.4% of females. The second class (non-lethal attempters with higher educational levels) described 52.4% of males and 42.7% of females. Finally, the third class (lethal attempters) included 6.4% of males and 1.9% of females. The main method of suicide attempts was poisoning with medications (87.3%). The results show that only 2.8% of people have a history of suicide attempts. Also, the suicide rate reached 8.26 per 100,000 population in 2021.

CONCLUSION

The present study showed an increasing trend of suicide attempt incidence rate in Ardabil Province from 2017 (99.49 per 100,000 population) to 2021 (247.41 per 100,000 population). This means that the rate of change was 147.92 per 100,000 population during the study period. The findings of LCA, stress the necessity of identification and prioritization of unmet needs of people who had an incomplete suicide in Ardabil.

Molecular Changes Associated with Suicide

Suicide is a serious global public health problem, with a worrying recent increase in suicide rates in both adolescent and adult populations. However, it is essential to recognize that suicide is preventable. A myriad of factors contributes to an individual's vulnerability to suicide. These factors include various potential causes, from psychiatric disorders to genetic and epigenetic alterations. These changes can induce dysfunctions in crucial systems such as the serotonergic, cannabinoid, and hypothalamic-pituitary-adrenal axes. In addition, early life experiences of abuse can profoundly impact an individual's ability to cope with stress, ultimately leading to changes in the inflammatory system, which is a significant risk factor for suicidal behavior. Thus, it is clear that suicidal behavior may result from a confluence of multiple factors. This review examines the primary risk factors associated with suicidal behavior, including psychiatric disorders, early life adversities, and epigenetic modifications. Our goal is to elucidate the molecular changes at the genetic, epigenetic, and molecular levels in the brains of individuals who have taken their own lives and in the plasma and peripheral mononuclear cells of suicide attempters and how these changes may serve as predisposing factors for suicidal tendencies.

Prevalence of suicidal ideation and suicide attempts in individuals with psychosis and bipolar disorder in South Asia: systematic review and meta-analysis

BACKGROUND

Suicidal ideation and attempts are growing public health concerns globally. Evidence from high-income countries suggests that individuals with psychosis and bipolar disorder are at increased risk of suicidal ideation and attempts, but there is a scarcity of evidence from South Asia.

AIMS

To estimate the prevalence of suicidal ideation and attempts in individuals with psychosis and bipolar disorder in South Asia.

METHOD

In this systematic review and meta-analysis, four databases (PsycINFO, Web of Science, EMBASE and Medline) were searched until December 2022. Pooled prevalence was estimated with random-effects models. Heterogeneity was quantified with the I2-statistic.

RESULTS

The pooled sample size across the 21 studies was 3745 participants, 1941 (51.8%) of which were male. The pooled prevalence of suicide attempts in South Asian people with either psychosis or bipolar disorder was 22% (95% CI 17-27; n = 15). The pooled prevalence of suicidal ideation with psychosis or bipolar disorder combined was 38% (95% CI 27-51; n = 10). Meta-regression, subgroup and sensitivity analysis showed that the pooled prevalence estimates for both suicide attempt and ideation remained unaffected by variations in critical appraisal ratings and study designs. Only one study reported data on suicide-related deaths.

CONCLUSIONS

One in four individuals diagnosed with psychosis or bipolar disorder have reported suicide attempts, whereas up to one in three have experienced suicidal ideation. These findings underscore the urgent need for clinicians to regularly assess and monitor suicidal ideation and attempts among individuals with these disorders in South Asia.

A Risk Calculator to Predict Suicide Attempts Among Individuals With Early-Onset Bipolar Disorder

Objectives

To build a one-year risk calculator (RC) to predict individualized risk for suicide attempt in early-onset bipolar disorder.

Methods

Youth numbering 394 with bipolar disorder who completed ≥2 follow-up assessments (median follow-up length = 13.1 years) in the longitudinal Course and Outcome of Bipolar Youth (COBY) study were included. Suicide attempt over follow-up was assessed via the A-LIFE Self-Injurious/Suicidal Behavior scale. Predictors from the literature on suicidal behavior in bipolar disorder that are readily assessed in clinical practice were selected and trichotomized as appropriate (presence past 6 months/lifetime history only/no lifetime history). The RC was trained via boosted multinomial classification trees; predictions were calibrated via Platt scaling. Half of the sample was used to train, and the other half to independently test the RC.

Results

There were 249 suicide attempts among 106 individuals. Ten predictors accounted for >90% of the cross-validated relative influence in the model (AUC = 0.82; in order of relative influence): (1) age of mood disorder onset; (2) non-suicidal self-injurious behavior (trichotomized); (3) current age; (4) psychosis (trichotomized); (5) socioeconomic status; (6) most severe depressive symptoms in past 6 months (trichotomized none/subthreshold/threshold); (7) history of suicide attempt (trichotomized); (8) family history of suicidal behavior; (9) substance use disorder (trichotomized); (10) lifetime history of physical/sexual abuse. For all trichotomized variables, presence in the past 6 months reliably predicted higher risk than lifetime history.

Conclusions

This RC holds promise as a clinical and research tool for prospective identification of individualized high-risk periods for suicide attempt in early-onset bipolar disorder.Reprinted from Bipolar Disord 2022; 24:749-757, with permission from John Wiley and Sons. Copyright © 2022.

Suicide Assessment and Prevention in Bipolar Disorder: How Current Evidence Can Inform Clinical Practice

Bipolar disorder is associated with a considerable risk of suicide, and this fact must be incorporated into management of all patients with the condition. This article highlights the importance of a more nuanced understanding of the factors associated with the increased risk of suicidal behavior in people diagnosed as having bipolar disorder and interventions that could mitigate it. Several sociodemographic, clinical, environmental, and other variables have been associated with suicide attempts or deaths in bipolar disorder. Youths with bipolar disorder are a particularly vulnerable group, and their trajectory of illness could be modified by early interventions. Several medications have been studied regarding their relationship to suicide risk in bipolar disorder, and interventional psychiatry is a newer area of research focus. Finally, community-based approaches can be incorporated into a comprehensive approach to suicide prevention. This article summarizes the current understanding of key variables that can help inform a clinical risk assessment of individuals and interventions that can be employed in suicide prevention in bipolar disorder.

Are all reasons for living made equally? Reasons for living and dysfunctional attitudes in psychotic disorders and bipolar I

OBJECTIVES

Persons with schizophrenia, schizoaffective, or bipolar I disorder are more likely to die by suicide compared to the general population. Dysfunctional attitudes have been shown to be significant predictors of cognitive vulnerability to depression, hopelessness, and poor problem-solving skills, which predict suicidal ideation. Dysfunctional attitudes are common in persons with schizophrenia spectrum disorders (SSDs) and bipolar I. The Reasons for Living Inventory (RFLI) examines distinct reasons for not dying by suicide. This study's objectives were to examine the relationship between the RFLI subscales and dysfunctional attitudes among persons with SSDs and bipolar I. We hypothesized significant positive correlations between two RFLI subscales (Fear of Suicide and Fear of Social Disapproval) and total score on the Dysfunctional Attitude Scale (DAS). We did not expect significant correlations between other subscales.

DESIGN AND METHODS

This correlational, cross-sectional study examined baseline scores on the RFLI and dysfunctional attitudes (DAS) among N = 102 outpatients with SSDs or bipolar I.

RESULTS

Significant positive correlations were observed between RFLI subscales Fear of Suicide and Fear of Social Disapproval and DAS total scores. No other significant relationships were observed.

CONCLUSIONS

Certain reasons for living (i.e. fear of suicide and social disapproval) may be associated with dysfunctional attitudes among persons with SSDs or bipolar I. These, in turn, may place these individuals at a greater risk for suicide by increasing their cognitive vulnerability. These findings may inform clinical treatment targets for persons with SSDs and bipolar I.

Insomnia and circadian rhythm: a bibliometrics study and visualization analysis via CiteSpace

Objective

The present study aimed to use CiteSpace to analyze the status of insomnia and circadian rhythm, identify the hot spots and trends, and provide a basis for future study.

Method

The Web of Science database was searched for studies related to insomnia and circadian from its inception to 14 April 2023. CiteSpace was used to generate online maps of collaboration between countries and authors and revealed hot spots and frontiers in insomnia and circadian rhythm.

Results

We searched 4,696 publications related to insomnia and circadian rhythm. Bruno Etain was the most prolific author with most publications, i.e., with 24 articles. The USA and the University of California were the leading country and the top institution in this field of study, with 1,672 and 269 articles, respectively. There was active cooperation between institutions, countries, and authors. Hot topics focused on circadian rhythm sleep disorders, circadian clock, light therapy, melatonin, and bipolar disorder.

Conclusion

Based on the CiteSpace results, we recommend a more active collaboration between various countries, institutions, and authors to conduct clinical and basic research related to insomnia and circadian rhythm. Ongoing research focuses on the interaction of insomnia with circadian rhythms and the corresponding pathways of clock genes and by extension, the role of circadian rhythms in disorders such as bipolar disorder. Modulation of circadian rhythms may be a hot spot for future insomnia therapies (such as light therapy and melatonin).

Pharmacological treatment of bipolar disorder and risk of diabetes mellitus: A nationwide study of 30,451 patients

OBJECTIVE

While treatment with antipsychotics and antiepileptics have been associated with an increased risk of diabetes mellitus (DM), lithium may have the opposite effect via inhibition of glycogen synthase kinase-3. The aim of this study was to investigate whether treatment of bipolar disorder with lithium, antipsychotics, or antiepileptics is associated with the risk of DM in a real-world clinical setting.

METHODS

Using nationwide registers, we identified all patients diagnosed with bipolar disorder in Danish Psychiatric Services from January 1, 1996, to January 1, 2019 (N = 30,451). The risk of developing DM was operationalized via hospital diagnoses and redeemed prescriptions for glucose-lowering drugs. For lithium, antipsychotics, valproate, and lamotrigine, we calculated hazard rate ratios (HRR) for developing DM via adjusted Cox proportional hazards models. Potential cumulative dose-response-like associations were examined using the log-rank test.

RESULTS

During follow-up (245,181 person-years), 2107 (6.9%) patients developed DM. Compared with non-users of the respective drugs, we found no clinically or statistically significant difference in the risk of developing DM among patients receiving lithium (n = 11,690; incidence rate of DM/1000 person-years (IR) = 8.87, 95% CI: 8.02-9.90; HRR = 0.94, 95% CI: 0.84-1.06) or lamotrigine (n = 11,785; IR = 7.58, 95% CI: 6.69-8.59; HRR = 0.89, 95% CI: 0.77-1.02), respectively. Conversely, for patients receiving valproate (n = 5171; IR = 12.68, 95% CI: 10.87-14.80; HRR = 1.34, 95% CI: 1.14-1.58) and antipsychotics (n = 22,719; IR = 12.00, 95% CI: 11.14-12.94; HRR = 1.65, 95% CI: 1.45-1.88), respectively, there was increased risk of developing DM. For antipsychotics, we observed a clear cumulative dose-response-like association with the risk of DM.

CONCLUSIONS

Treatment with valproate and antipsychotics-but not with lithium and lamotrigine-was associated with increased risk of DM in a real-world cohort of patients with bipolar disorder.

Cigarette smoking and risk of suicide in bipolar disorder: a systematic review

Objective

Bipolar disorder (BD) is a highly prevalent, chronic and recurrent mental illness. The smoking rates in patients with BD are much higher than those of the general population, and BD is associated with an increased risk of suicide. An association between smoking and suicidal behavior has been found in the general population, this systematic review examines whether there is evidence of an association between smoking and suicide behavior in patients with BD.

Method

A database search was carried out in Medline, Embase, The Cochrane Library, Scopus, and Web of Science, updated until December 31st, 2021, according to the 2020 PRISMA guidelines. We identified prospective and retrospective studies that included patients diagnosed with BD types I, II, and not otherwise specified, and in which smoking and suicidal behavior were correlated. Articles that focused exclusively on other mental disorders were excluded. The Ottawa-Newcastle scale was used to assess the methodological quality of the included articles.

Results

Fifteen articles (n = 7,395) met all the inclusion criteria. In nine of these articles, the authors found an association between smoking and suicidal behavior in BD, while in the remaining six articles, this association was not found. A great deal of variability was observed between articles, particularly in the measurement of suicidal behavior and tobacco consumption. The risk of bias, as assessed by the NOS, was high for most of the included articles, except for two papers, whose risk was low.

Conclusion

It was not possible to establish a clear relationship between tobacco use and the risk of suicide in BD patients due to the heterogeneity of the articles included in this systematic review, which had different sample sizes and methodological issues. However, both conditions are highly prevalent and have a negative impact on the prognosis of BD. Therefore, a systematic approach is needed, based on accurate measurement of a patient's smoking habits and their risk of suicidal behavior, in order to establish an appropriate therapeutic plan.

Additional information

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors and was registered on PROSPERO with the CRD42022301570 on January 21th 2022.

Suicidal behavior among inpatients with severe mental conditions in a public mental health hospital in Uganda

BACKGROUND

Suicidal behaviors are prevalent among inpatients with severe mental conditions and may result in many dying by suicide. Few studies have focused on the burden of suicidal behaviors among these inpatients in low-income settings, despite suicide being consistently higher in lower-income countries such as Uganda. This study, therefore, provides the prevalence and associated factors of suicidal behaviors and suicide attempts among inpatients with severe mental conditions in Uganda.

METHOD

This was a retrospective chart review of all individuals admitted with severe mental conditions to a large psychiatry inpatient unit in Uganda for four years (2018-2021). Two separate logistic regressions were conducted to determine the factors associated with suicidal behaviors or suicidal attempts among the admitted individuals.

RESULTS

The prevalence of suicidal behavior and suicidal attempts among 3104 (mean age = 33, Standard deviation [SD] = 14.0; 56% were males) were 6.12% and 3.45%, respectively. Having a diagnosis of depression increased the likelihood of both suicidal behaviors (adjusted odds ratio [aOR]: 5.36; 95% confidence interval [CI]: 2.14-13.37; p =0.001) and attempts (aOR: 10.73; 95% CI: 3.44-33.50; p < 0.001). However, a diagnosis of substance-related disorder increased the likelihood of having attempted suicide (aOR: 4.14; 95% CI: 1.21-14.15; p = 0.023). The likelihood of having suicidal behavior decreased as one increased in age (aOR: 0.97; 95% CI: 0.94-0.99; p = 0.006) and increased among individuals reporting stress from financial constraints (aOR: 2.26; 95% CI: 1.05-4.86; p = 0.036).

CONCLUSION

Suicidal behaviors are common among inpatients managed for severe mental health conditions in Uganda, especially those with substance use and depressive disorders. In addition, financial stressors are a main predictor in this low-income country. Therefore, regular screening for suicide behaviors is warranted, especially among individuals with depression, and substance use, among those who are young, and among those reporting financial constraints/stress.

The impact of schizophrenia spectrum disorder, bipolar disorder and borderline personality disorder on radiotherapy treatment and overall survival in cancer patients: A matched pair analysis

Introduction

The effect of a psychiatric disorder (PD) on the choice of radiotherapy regimens and subsequent cancer control outcomes is largely unknown. In this study, we evaluated differences in radiotherapy regimens and overall survival (OS) between cancer patients with a PD in comparison with a control population of patients without a PD.

Methods

Referred patients with a PD (i.e. schizophrenia spectrum disorder, bipolar disorder or borderline personality disorder) were included through a text-based search of the electronic patient database of all the patients that received radiotherapy between 2015 and 2019 at a single centre. Each patient was matched to a patient without a PD. Matching was based on cancer type, staging, performance score (WHO/KPS), non-radiotherapeutic cancer treatment, gender and age. Outcomes were the amount of fractions received, total dose, and OS.

Results

88 patients with PD were identified; 44 patients with schizophrenia spectrum disorder, 34 with bipolar disorder, and 10 with borderline personality disorder. Matched patients without a PD showed similar baseline characteristics. No statistically significant difference was observed regarding the number of fractions with a median of 16 (interquartile range [IQR] 3-23) versus 16 (IQR 3-25), respectively (p = 0.47). Additionally, no difference in total dose was found. Kaplan-Meier curves showed a statistically significant difference in OS between the patients with a PD versus those without a PD, with 3-year OS rates of 47 % versus 61 %, respectively (hazard ratio 1.57, 95 % confidence interval 1.05-2.35, p = 0.03). No clear differences in causes of death were observed.

Conclusion

Cancer patients referred for radiotherapy with schizophrenia spectrum disorder, bipolar disorder or borderline personality disorder receive similar radiotherapy schedules for a variety of tumour types but attain worse survival.

Identification of Risk Factors for Suicide and Insights for Developing Suicide Prevention Technologies: A Systematic Review and Meta-Analysis

Suicide is a termite that engulfs close to seven hundred thousand people worldwide each year. Existing work on risk factors that predict suicide lacks statistical associations, does not consider most countries, and has a wide range of risk factor domains. The goal of this systematic review and meta-analysis is to enhance our current understanding of suicidality by identifying risk factors that are most strongly associated with suicide and their impact on developing technological interventions for suicide prevention. A search strategy was carried out on four databases: (1) PsycINFO, (2) IEEE Xplore, (3) the ACM Digital Library, and (4) PubMed, and twenty-five studies were included based on the inclusion criteria. Factors statistically associated with suicide are any diagnosed mental disorder, adverse life events, past suicide attempts, low education level, loneliness or high levels of isolation, bipolar disorder, depression, multiple chronic health conditions, family history of suicide, sexual trauma, and being female. Domain-wise, comorbid disorders, and behavior-related risk factors are most strongly associated with suicide. We present a new hierarchical model of risk factors for suicide that advances our understanding of suicide and its causes. Finally, we present open research directions and considerations for developing suicide prevention technologies.

Suicide in bipolar disorder patients is associated with hippocampal microglia activation and reduction of lymphocytes-activation gene 3 (LAG3) microglial checkpoint expression

BACKGROUND

Bipolar disorder (BD) is associated with marked functional impairments along with increased rate of suicide. Although there is ample evidence for the involvement of inflammatory processes and microglia activation in the pathophysiology of BD, the mechanisms that regulate these cells in BD patients, and particularly the role of microglia checkpoints, is still unclear.

METHODS

Immunohistochemical analyses of hippocampal sections from post-mortem brains of 15 BD patients and 12 control subjects were used to assess microglia density, by staining the microglia-specific receptor P2RY12, and microglia activation, by staining the activation marker MHC II. Given recent findings on the involvement of LAG3, which interacts with MHC II and serves as a negative microglia checkpoint, in depression and electroconvulsive therapy, we assessed the levels of LAG3 expression and their correlations with microglia density and activation.

RESULTS

There were no overall differences between BD patients and controls, but BD patients who committed suicide (N = 9) displayed a significant elevation in the overall microglia density and the density of MHC II-labeled microglia (but not other MHC II-labeled cells), compared with no suicide BD patients (N = 6) and controls. Furthermore, the percent of microglia expressing LAG3 was significantly reduced only in suicidal BD patients, with significant negative correlations between microglial LAG3 expression levels and the density of microglia, in general, and activated microglia, in particular.

CONCLUSION

Suicidal BD patients exhibit microglia activation, which is possibly mediated by reduced LAG3 checkpoint expression, suggesting that anti-microglial therapeutics, including LAG3 modulators, may be beneficial for this subgroup of patients.

Aging of the brain in bipolar disorder: Illness- and onset-related effects in cortical thickness and subcortical gray matter volume

BACKGROUND

Older adults with bipolar disorder (BD) have received little study, although they often have severe symptoms, treatment resistance and high suicide risk. Furthermore, a subset develops cognitive dysfunction for unknown reasons.

METHODS

Here, cortical thickness and subcortical gray matter volume were compared across individuals ages 40-79y: 103 with BD ("later-onset" at ages ≥25y, n = 21; "early-onset" < 25y, n = 82) and healthy controls (HCs, n = 98).

RESULTS

Overall, those with BD showed lower prefrontal, cingulate, sensorimotor, parahippocampal, insula, temporal, parietal, and occipital cortical thickness (Cohen's d: 0.4 to 0.8) and hippocampal, amygdalar, thalamic, and striatal gray matter volume (d: 0.6 to 0.8). Later-onset BD showed negative relationships between age and parahippocampal, insular, temporal, parietal, and occipital cortical thickness, and hippocampal, thalamic and striatal volume (r: -0.7 to -0.4). Suicide attempt history was associated with lower dorsolateral prefrontal cortical thickness (d = 0.5).

LIMITATIONS

The study used a cross-sectional design and the sample of those with a later-onset of BD was relatively modest.

CONCLUSIONS

Results support widespread gray matter decreases in older adults with BD, and also suggest a separable later-onset phenotype characterized by age-related gray matter reductions in regions subserving cognitive, emotional and perceptual processes. Moreover, the results are the first to demonstrate structural brain differences associated with a history of suicide attempts in older adults with BD.

Circadian rhythm disruptions: A possible link of bipolar disorder and endocrine comorbidities

Epidemiological studies have demonstrated an association between bipolar disorder (BP) and endocrine diseases. Further, circadian rhythm disruptions may be a potential common pathophysiological mechanism of both disorders. This review provides a brief overview of the molecular mechanisms of circadian rhythms, as well as roles circadian rhythms play in BP and common endocrine comorbidities such as diabetes and thyroid disease. Treatments targeting the circadian system, both pharmacological and non-pharmacological, are also discussed. The hope is to elicit new interest to the importance of circadian system in BP and offer new entry points and impetus to the development of medicine.

A risk calculator to predict suicide attempts among individuals with early-onset bipolar disorder

OBJECTIVES

To build a one-year risk calculator (RC) to predict individualized risk for suicide attempt in early-onset bipolar disorder.

METHODS

Youth numbering 394 with bipolar disorder who completed ≥2 follow-up assessments (median follow-up length = 13.1 years) in the longitudinal Course and Outcome of Bipolar Youth (COBY) study were included. Suicide attempt over follow-up was assessed via the A-LIFE Self-Injurious/Suicidal Behavior scale. Predictors from the literature on suicidal behavior in bipolar disorder that are readily assessed in clinical practice were selected and trichotomized as appropriate (presence past 6 months/lifetime history only/no lifetime history). The RC was trained via boosted multinomial classification trees; predictions were calibrated via Platt scaling. Half of the sample was used to train, and the other half to independently test the RC.

RESULTS

There were 249 suicide attempts among 106 individuals. Ten predictors accounted for >90% of the cross-validated relative influence in the model (AUC = 0.82; in order of relative influence): (1) age of mood disorder onset; (2) non-suicidal self-injurious behavior (trichotomized); (3) current age; (4) psychosis (trichotomized); (5) socioeconomic status; (6) most severe depressive symptoms in past 6 months (trichotomized none/subthreshold/threshold); (7) history of suicide attempt (trichotomized); (8) family history of suicidal behavior; (9) substance use disorder (trichotomized); (10) lifetime history of physical/sexual abuse. For all trichotomized variables, presence in the past 6 months reliably predicted higher risk than lifetime history.

CONCLUSIONS

This RC holds promise as a clinical and research tool for prospective identification of individualized high-risk periods for suicide attempt in early-onset bipolar disorder.

Suicidality in clinically stable bipolar disorder and schizophrenia patients during the COVID-19 pandemic

The coronavirus disease 2019 (COVID-19) pandemic has a disproportionate impact on vulnerable subpopulations, including those with severe mental illness (SMI). This study examined the one-year prevalence of suicidal ideation (SI), suicide plans (SP), and suicide attempts (SA) in bipolar disorder (BD) and schizophrenia (SCZ) patients during the pandemic. Prevalence rates were compared between the two disorders and associated factors were examined. A survey was conducted in six tertiary psychiatric hospitals and psychiatric units. People with a diagnosis of BD or SCZ were invited to participate. SI, SP, and SA (suicidality for short) were assessed and associated factors were examined using binary logistical regression. The 1-year prevalence of SI, SP and SA in BD patients were 58.3%, (95% CI: 54.1-62.6%), 38.4% (95% CI: 34.3-42.6%) and 38.6% (95% CI: 34.5-42.8%), respectively, which were higher than the corresponding figures in SCZ patients (SI: 33.2%, 95% CI: 28.6-37.8%; SP: 16.8%, 95% CI: 13.2-20.5%; SA: 19.4%, 95% CI: 15.5-23.3%). Patients with younger age, experience of cyberbullying, a history of SA among family or friends, a higher fatigue and physical pain score, inpatient status, and severe depressive symptoms were more likely to have suicidality. The COVID-19 pandemic was associated with increased risk of suicidality, particularly in BD patients. It is of importance to regularly screen suicidality in BD and SCZ patients during the pandemic even if they are clinically stable.

Suicidal Ideation in Bipolar Disorder: The Relation with Clinical and Sociodemographic Variables

INTRODUCTION

Bipolar disorder (BD) has the highest risk of suicide among all mental disorders. Thus, identifying factors related to suicidal ideation is essential for a better assessment of the risk of suicide in BD.

OBJECTIVE

To analyze the relationship between suicidal ideation and clinical and sociodemographic characteristics in BD patients.

METHOD

This is a cross-sectional study that included eighty individuals with BD. Information regarding sociodemographic data and history of attempted suicide were collected, and the Hamilton Depression Scale, Young Mania Rating Scale, Positive And Negative Syndrome Scale/positive symptom subscale, Clinical Global Impressions Scale for use in bipolar illness, Insight Scale for Affective Disorders, and Barratt Impulsiveness Scale were administered. The presence and severity of suicidal ideation were assessed using the Beck Scale for Suicidal Ideation.

RESULTS

All regression models significantly predicted suicidal ideation. In the model that had the lowest AIC score and the highest cross-validity, the severity of depressive and of manic symptoms (standardized β = 0.49, p < 0.001; standardized β = 0.42, p = 0.007), the insight level (standardized β = - 0.38, p = 0.012) and previous suicide attempt (standardized β = 0.20, p = 0.036) acted as predictors of suicidal ideation, while degree of impulsivity (β standardized = 0.13, p = 0.229) and educational level (standardized β = - 0.16, p = 0.108) did not give a significant contribution.

CONCLUSION

According to our results, more severe depression and mania symptoms, higher level of insight and a history of suicide attempt indicate the occurrence of suicidal ideation in BD.

Emerging Evidence for the Widespread Role of Glutamatergic Dysfunction in Neuropsychiatric Diseases

The monoamine model of depression has long formed the basis of drug development but fails to explain treatment resistance or associations with stress or inflammation. Recent animal research, clinical trials of ketamine (a glutamate receptor antagonist), neuroimaging research, and microbiome studies provide increasing evidence of glutamatergic dysfunction in depression and other disorders. Glutamatergic involvement across diverse neuropathologies including psychoses, neurodevelopmental, neurodegenerative conditions, and brain injury forms the rationale for this review. Glutamate is the brain's principal excitatory neurotransmitter (NT), a metabolic and synthesis substrate, and an immune mediator. These overlapping roles and multiple glutamate NT receptor types complicate research into glutamate neurotransmission. The glutamate microcircuit comprises excitatory glutamatergic neurons, astrocytes controlling synaptic space levels, through glutamate reuptake, and inhibitory GABA interneurons. Astroglia generate and respond to inflammatory mediators. Glutamatergic microcircuits also act at the brain/body interface via the microbiome, kynurenine pathway, and hypothalamus-pituitary-adrenal axis. Disruption of excitatory/inhibitory homeostasis causing neuro-excitotoxicity, with neuronal impairment, causes depression and cognition symptoms via limbic and prefrontal regions, respectively. Persistent dysfunction reduces neuronal plasticity and growth causing neuronal death and tissue atrophy in neurodegenerative diseases. A conceptual overview of brain glutamatergic activity and peripheral interfacing is presented, including the common mechanisms that diverse diseases share when glutamate homeostasis is disrupted.

Epilepsy With Suicide: A Bibliometrics Study and Visualization Analysis via CiteSpace

Objective:

The purpose of this study was to analyze the research status of epilepsy with suicide and to determine the hotspots and frontiers via CiteSpace.

Method:

We searched the Web of Science Core Collection (WoSCC) for studies related to epilepsy and suicide from inception to September 30, 2021. We used CiteSpace to generate online maps of collaboration between countries, institutions, and authors, and revealed hot spots and frontiers in epilepsy with suicide.

Results:

A total of 631 publications related to epilepsy with suicide were retrieved from the WoSCC. Andres M. Kanner was the most published author (25 papers). The USA and Columbia University were the leading country and institution in this field, with 275 and 25 papers, respectively. There were active cooperation between institutions, countries, and authors. Hot topics focused on depression, antiseizure medications, pediatric epilepsy, and risk factors of suicide in patients with epilepsy (PWEs).

Conclusions:

Based on the CiteSpace findings, this study detected active collaboration among countries, institutions and authors. The main current research trends include suicide caused by depression, suicide caused by the use of antiseizure medications, suicide in children with epilepsy, and risk factors for suicide in PWEs. Thus, more attention should be paid to the psychiatric comorbidity of PWEs (especially pediatric epilepsy), the suicidal tendency of PWEs, and the rational use of antiseizure medications in the future.

Bipolar women's antepartum psychotropic exposure and offspring risk of attention-deficit/hyperactivity disorder and autism spectrum disorder

BACKGROUND

Women with bipolar disorder (BD) may continue psychotropics during pregnancy. The association of exposure to antidepressant, antipsychotics, and mood stabilizers with offspring risks of attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) remains unexplored in mothers with BD.

METHODS

A total of 5669 pregnant women with BD and 5669 psychiatrically healthy controls were identified between 2002 and 2011 from the Taiwan Longitudinal Health Insurance Database. We analyzed the odds ratios (ORs) of psychotropic types and exposure periods (3 months before pregnancy [3MbPreg] and first, second, and third trimesters [T1, T2, T3, respectively]) on the risk of ADHD and ASD by using adjusted logistic regression analyses.

RESULTS

Antidepressant exposure during 3MbPreg (OR=2.15, 95% CI=1.45-3.20), T1 (OR=2.62, 95% CI=1.68-4.09), T2 (OR=2.33, 95% CI=1.18-4.63), and T3 (OR=2.33, 95% CI=1.67-6.61) was associated with increased offspring risk of ADHD, particularly for selective serotonin reuptake inhibitor and serotonin norepinephrine reuptake inhibitor. Mood stabilizer exposure during 3MbPreg increased the risks of ADHD (OR=2.39, 95% CI=1.45-3.95) and ASD (OR=3.89, 95% CI=1.30-11.65); a higher ADHD risk was associated with valproic acid (OR=2.43, 95% CI=1.32-4.47) and lamotrigine exposure (OR=8.24, 95% CI = 1.49-45.67); ASD risk was higher for lithium exposure (OR=6.75, 95% CI=1.41-32.28).

LIMITATION

In claims-data analyses, several clinical parameters or potential confounders may be incompletely captured.

CONCLUSIONS

Antidepressants were associated with higher offspring risk of ADHD over all gestation periods among mothers with BD than psychiatrically healthy controls, while mood stabilizers were associated with higher risk of ADHD and ASD during 3MbPreg.

Sensitivity is the dimension of temperament most associated with the progression from ideation to suicide attempts

BACKGROUND

To analyze the association between temperament (emotional and affective) and scrutinize the progression from suicide ideation to attempt, by using data from a large internet-based sample.

METHODS

It is a cross-sectional study, based on the Brazilian Internet Study on Temperament and Psychopathology (BRAINSTEP). Temperament was assessed by the Affective and Emotional Composite Temperament Scale (AFECTS), and life-long suicidal behavior was determined by the adapted Suicidal Behaviors Questionnaire (SBQ-17). Odds ratios were obtained through multivariate logistic regression and a multiple linear regression were used in the analysis. According to the "ideation-to-action framework", we performed analyzes using two different reference groups: no suicidal ideation and suicidal ideation.

RESULTS

The affective temperaments that showed the greatest association with suicide attempts were depressive, cyclothymic, and volatile. The temperaments that reflected higher associations for progression from ideation to suicide attempt were cyclothymic, depressive, and euphoric. Sensitivity was manifested as the emotional temperament with the strongest positive association with the severity of suicidal behavior, followed by desire and control. Stability was estimated as the emotional trait with the strongest negative association with the severity of suicidal behavior.

LIMITATIONS

It is not a population based sample. BRAINSTEP is a self-selected sample whose participants are mostly women, who are highly educated and young.

CONCLUSIONS

Our results suggest that temperament assessment using AFECT model may be relevant to assess the risk for the progression from ideation to suicide attempts. These results strengthen the "ideation-to-action" framework that risk factors to suicide ideators can differ from suicide attempters.

[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.

Using Screening Scales for Bipolar Disorder in Epidemiologic Studies: Lessons Not Yet Learned

BACKGROUND

In a recent issue in the journal, Humpston, Bebbington, and Marwaha (2021) reported the results of the first large epidemiological study of bipolar disorder in England. The prevalence estimate of bipolar disorder was based on the Mood Disorders Questionnaire (MDQ), a self-administered screening scale for a lifetime history of mania/hypomania. Humpston and colleagues found that the prevalence of bipolar disorder in England was similar to the rates in other parts of the world, and they stated that most individuals with bipolar disorder in England did not receive treatment for the disorder in the past year. A better understanding of the statistics of screening and the performance of the MDQ would indicate that the conclusions drawn from the epidemiological study are not justified.

METHODS

I review the principles and statistics of diagnostic screening and how screening is distinguished from case-finding. I then review the performance of the MDQ in the general population and calculate the positive predictive value of the MDQ in the study by Humpston and colleagues.

RESULTS

The developers of the MDQ reported a sensitivity of 28.1% and specificity of 97.2% in the general population based on a cutoff score of 7. Using this same cutoff, Humpston and colleagues reported the prevalence of "probable" bipolar disorder was 1.7%. Based on these data, the positive predictive value of the MDQ would be only 14.8%.

LIMITATIONS

Humpson et al. did not compare the MDQ to a diagnostic interview in their study; thus, the performance of the MDQ was estimated from another general population study.

CONCLUSIONS

When studying a disorder with a relatively low prevalence, it is near impossible for a screening test to have sufficient positive predictive value to be used to validly compare the individuals who do and do not screen positive. Most of the individuals whom Humpston et al. considered to have "probable" bipolar disorder would not have received the diagnosis had they been directly interviewed. Thus, the results of the Humpston et al. study are not a valid indicator of the correlates of bipolar disorder in the general population of England.

Estimating the risk of suicide associated with mental disorders: A systematic review and meta-regression analysis

BACKGROUND

Mental disorders (MDs) are known risk factors for suicide. This systematic review updates the evidence base for this association and improves upon analytic approaches by incorporating study-level and methodological variables to account for measurement error in pooled suicide risk estimates.

METHODS

A systematic review was conducted to review studies on MDs as risk factors for suicide. Relevant studies were searched using PubMed, Embase, PsychINFO, and existing reviews from 2010 to 19. Studies were eligible if they were longitudinal/case-control studies, representative of the general population, used diagnostic instruments, and quantified suicide risk. The outcome assessed was relative risks (RRs) for suicide due to MDs. A multi-level meta-regression approach was used to obtain pooled RRs adjusted for covariates and between-study effects.

FINDINGS

We identified 20 eligible studies yielding 69 RRs. Disorder type, age, sex, use of psychological autopsy, study design, and adjustment for confounders were tested as predictors of pooled suicide risk. Overall, all disorders were significant predictors of suicide with predicted adjusted RRs ranging from 4·11 [2·09, 8·09] for dysthymia to 7·64 [4·3, 13·58] for major depressive disorder.

INTERPRETATION

Our results indicate that MDs are important risk factors for suicide. This systematic review provides pooled RRs that have been adjusted for methodological sources of bias. Findings from our paper may inform suicide prevention strategies as part of national health agendas.

Latent class analysis of bipolar disorder symptoms and suicidal ideation and behaviors

Individuals with bipolar disorder are at increased risk of dying by suicide compared to healthy controls and those with unipolar depression. Previous studies show that depressive symptoms and mixed episodes of mania and depression are related to suicide. However, most of these studies adopt a variable-centered approach to understanding how specific symptoms relate to suicidal ideation, without addressing how these symptoms and symptom profiles relate to suicidal behaviors.

OBJECTIVES

Using latent class analysis, this study adopts a person-centered approach to examine whether subtypes of patients with bipolar disorder differ in their levels of suicidal ideation and behaviors.

METHODS

A total of 150 patients from a behavioral health outpatient clinic were recruited. Latent classes were generated based on self reports of their depressive and manic symptoms.

RESULTS

Five classes of patients with bipolar disorder were identified, namely, a minimal symptom, mania, moderately depressed, severely depressed, and mixed depression-mania subtypes. Those in the severely depressed and mixed depression-mania groups reported significantly higher levels of suicidal ideation and behaviors compared to the other groups.

CONCLUSIONS

Our findings provide further support for the strong relationship between depressive symptoms and suicidality. These findings are significant as they shed light on the different suicide risk profiles among a heterogenous group of patients with bipolar disorder. Name of clinical trial: Suicidal Behavior in Patients Diagnosed with Bipolar Disorder: The Roles of Biological and Childhood and Adult Environmental Risk Factors. ClinicalTrials.gov Identifier: NCT02604277.

Manic-Depressive Cycles in Bipolar Disorder: Clinical and Treatment Implications

INTRODUCTION

Cycle patterns of bipolar disorders (BDs) have been previously shown to be associated with clinical characteristics and response to lithium salts. Here, we evaluated the distribution of different types of manic-depressive cycles in a large sample of patients with BD. The associations between a mania-depression-interval (MDI) course and depression-mania-interval (DMI) course with sociodemographic/clinical factors were also assessed in order to define specific clinical profiles.

METHODS

In this cross-sectional study, 806 patients with BD admitted to the Psychiatric Unit of San Luigi Gonzaga Hospital in Orbassano and Molinette Hospital in Turin, Italy, were recruited. Patients were grouped according to the following course patterns: MDI, DMI, continuous cycling (CC, <4 episodes/year without intervals), rapid cycling (RC, ≥4 episodes/year), and irregular (IRR) cycling. We compared several sociodemographic and clinical variables in an MDI versus DMI course by means of ANOVA and Pearson χ2 with Bonferroni correction.

RESULTS

Bipolar cycles were distributed as follows: 50.2% IRR course, 31.5% MDI course, 16% DMI course, 1.2% CC, and 1% RC. Compared to DMI course, patients with an MDI course were more often men, younger, with an earlier onset, a manic polarity onset, and more lifetime compulsory admissions. They were more frequently treated with lithium and antipsychotics. Patients with a DMI course had older age at diagnosis and at first mood-stabilizer treatment and were more often misdiagnosed with a major depressive disorder. These patients were more commonly treated with anticonvulsants, and they had more frequently failed treatment trials with lithium salts in the past.

CONCLUSION

This study supports the utility of classifying BD according to their course patterns. This classification holds prognostic as well as therapeutic implications.

Altered Functional Connectivity Differences in Salience Network as a Neuromarker of Suicide Risk in Euthymic Bipolar Disorder Patients

Objective

The occurrence of death by suicide in patients diagnosed with bipolar disorder is as much as 60 times greater than in the general population. Even during the state of euthymia patients are characterized by suicide risk. The aim of the study is to investigate the baseline brain activity in euthymic bipolar disorder patients in regard to suicide risk. We hypothesized that patients compared to healthy control group will demonstrate altered functional connectivity among resting state networks which will be directly related to current suicide risk.

Method

41 subjects were enrolled in the study consisting control group (n = 21) and euthymic bipolar disorder patients group (n = 20). Functional magnetic resonance imaging was used to evaluate resting state brain activity and ROI-ROI functional connectivity analysis was performed. Suicidal risk was estimated using The Suicide Behaviors Questionnaire-Revised.

Results

A two sample t-test revealed decreased functional connectivity between regions involved in the salience network in patients compared to the control group. This decrease was negatively correlated with current suicide risk.

Conclusion

Obtained results suggest the association between risk of suicide and activity of regions responsible for functions such as learning from mistakes, prospective thinking, and sensory integration.

Lithium - past, present, future

OBJECTIVES

A narrative review of past, present, and future of lithium use in psychiatry.

METHODS

The most important references on the topic were reviewed with special emphasis on the author's works.

RESULTS

The history of medical and psychiatric use of lithium dates back to more than one and a half-century ago. However, modern psychiatric history began with the publication of John Cade, in 1949, showing a therapeutic effect of lithium in mania. Currently, lithium is a drug of choice as a mood-stabilizer for the maintenance treatment of the bipolar disorder. The second most important use of lithium is probably augmentation of antidepressants in treatment-resistant depression. In addition to its mood-stabilizing properties, lithium exerts anti-suicidal, immunomodulatory, and neuroprotective action. The drug may protect against dementia and some promising effects of lithium in neurodegenerative disorders have been observed.

CONCLUSION

Given the clinical and biological properties of lithium, this drug is presently greatly underutilized in mood disorders. Therefore, the efforts should be undertaken for challenging a skepticism about the use of lithium and optimizing its long-term administration. In such a way, more patients with mood disorders can become the beneficiaries of lithium's therapeutic action. KEY POINTS Lithium is a drug of choice as a mood-stabiliser for the maintenance treatment of bipolar disorder. Augmentation of antidepressants by lithium is one of the best strategies in treatment-resistant depression. Lithium exerts anti-suicidal, immunomodulatory, and neuroprotective action and may protect against dementia. Despite the evidence for the efficacy and added favourable properties, lithium is greatly underutilised in mood disorders. Challenging a scepticism about the use of lithium and optimising its long-term administration can make more patients with mood disorders the beneficiaries of lithium's therapeutic action.

Prediction of Suicide-Related Events by Analyzing Electronic Medical Records from PTSD Patients with Bipolar Disorder

Around 800,000 people worldwide die from suicide every year and it's the 10th leading cause of death in the US. It is of great value to build a mathematic model that can accurately predict suicide especially in high-risk populations. Several different ML-based models were trained and evaluated using features obtained from electronic medical records (EMRs). The contribution of each feature was calculated to determine how it impacted the model predictions. The best-performing model was selected for analysis and decomposition. Random forest showed the best performance with true positive rates (TPR) and positive predictive values (PPV) of greater than 80%. The use of Sertraline, Fentanyl, Aripiprazole, Lamotrigine, and Tramadol were strong indicators for no SREs within one year. The use of Haloperidol, Trazodone and Citalopram, a diagnosis of autistic disorder, schizophrenic disorder, or substance use disorder at the time of a diagnosis of both PTSD and bipolar disorder, predicted the onset of SREs within one year. The use of Trazodone and Citalopram at baseline predicted the onset of SREs within one year. Additional features with potential protective or hazardous effects for SREs were identified by the model. We constructed an ML-based model that was successful in identifying patients in a subpopulation at high-risk for SREs within a year of diagnosis of both PTSD and bipolar disorder. The model also provides feature decompositions to guide mechanism studies. The validation of this model with additional EMR datasets will be of great value in resource allocation and clinical decision making.

Suicide mortality after discharge from inpatient care for bipolar disorder: A 14-year Swedish national registry study

Bipolar disorder has long been associated with increased risks for suicidality; though factors associated with dying by suicide remain obscure. Here, we retrospectively examine the associations between the different phases of bipolar illness and other common comorbidities with death by suicide in the 120 days following each discharge for Swedes first admitted as inpatients for bipolar disorder during the years 2000-2014. Data on admissions and suicide deaths were extracted from the Swedish National Patient Register and the Cause of Death Register, respectively. ICD-10 diagnostic codes were used to define the phases: depressive, manic, mixed, and other; and the comorbidities: specific substance use disorders, attention deficit hyperactivity disorder, and personality disorders. Extended Cox regressions were employed to model the time to death by suicide as a function of the bipolar phases, comorbidities, and other important control variables. Our analysis included 60,643 admissions by 22,402 patients over an observation time of 15,187 person-years. Overall, 213 (35.7%) of all suicides occurred within 120 days of discharge. Upon adjustment and compared to the depressive phases, manic phases were significantly associated with a far lower hazard of dying by suicide (HR 0.34, 95% CI: 0.21-0.56, p < 0.001), though mixed phases were not (HR 0.92, 95% CI: 0.48-1.73, p = 0.957). With regard to comorbidity, only sedative use disorder remained significantly associated with dying by suicide upon adjustment (HR 2.08, 95% CI: 1.41-3.06, p = 0.001). Vigilant monitoring of patients post discharge and of prescription practices are recommended.

Resilience and insight in euthymic patients with bipolar disorder

BACKGROUND

The relationship between resilience and insight may be of potential importance for coping with stress in bipolar disorder (BD). The aim of this study was to investigate if there was a relation between insight and resilience in euthymic patients with BD and also to analyze the associations between resilience, impulsivity, aggression, alcohol use and affective temperament.

METHODS

142 patients with BD type I in remission period were involved. Resilience Scale for Adults-Turkish version, Schedule for Assessment of Insight, Temperament Evaluation of Memphis, Pisa, Paris and San Diego Autoquestionnaire, Barratt Impulsiveness Scale, Buss-Perry Aggression Questionnaire, Michigan Alcoholism Screening Test were used.

RESULTS

Total insight scores were negatively correlated with the scores of perception of future. As distinct from other subscales of resilience, family cohesion had independent significant associations with insight in relabelling of psychotic experiences and attention impulsivity. There was no relationship between total insight and total resilience scores. Resilience scores were negatively correlated with number of depressive episodes and number of suicide attempts. Degree of aggression, degree of impulsivity, scores of depressive and hyperthymic temperament significantly predicted resilience.

LIMITATIONS

Recruitment of patients from a tertiary centre limits the generalizability of the findings.

CONCLUSIONS

Better insight was related to negative perception of the future and did not have significant associations with total resilience. Number of depressive episodes, number of past suicide attempts correlated with resilience, emphasizing the importance of interventions to increase resilience in BD.

Lithium treatment in the era of personalized medicine

In 1949, an Australian psychiatrist, John Cade, reported on the antimanic efficacy of lithium carbonate, which is regarded as an introduction of lithium into contemporary psychiatry. Since the 1960s, lithium has been a precursor of mood stabilizers and has become first-choice drug for the prevention of affective episodes in mood disorders. For nearly four decades, lithium has also been used for the augmentation of antidepressant drugs in treatment-resistant depression. The knowledge of clinical and biological factors connected with the capability of long-term lithium treatment to prevent manic and depressive recurrences makes an important element of the personalized medicine of mood disorders. Excellent prophylactic lithium responders can be characterized by distinct mood episodes, with full remissions between them, the absence of other psychiatric morbidity, and the family history of bipolar illness. In recent years, many other clinical and biological factors connected with such a response have been identified, helping to select the best candidates for lithium prophylaxis. The antisuicidal effect of lithium during its long-term administration has been demonstrated and should also be taken into account as the element of personalized medicine for the pharmacological prophylaxis of patients with mood disorders. Several studies pertaining to personalized medicine were also dedicated to lithium treatment of acute mood episodes. Lithium still has a value in the treatment of mania and bipolar depression. However, it seems that the more important indication would be the augmentation of antidepressant drugs in treatment-resistant depression. The factors connected with the efficacy of lithium in these conditions are reviewed.

Psychiatric diagnosis, gender, aggression, and mode of attempt in patients with single versus repeated suicide attempts

There is evidence that patients with multiple suicide attempts in their history are at greater risk to repeat attempt and eventually die by suicide compared to those with a single attempt. This cross-sectional study aimed to explore possible differences in clinical characteristics between patients with a single attempt and patients with repeated attempts. Two hundred thirty one patients hospitalised in psychiatric department after suicide attempt were studied. Comparisons were made in relation to age, gender, psychiatric diagnosis, aggression, depression severity, suicide intent and mode of attempt. Highest frequencies of patients with repeated attempts were found for bipolar disorder (69%) and lowest for adjustment/personality disorders (39%). In patients with repeated attempts, female gender was associated with non-violent attempt mode. Depressive symptomatology was higher in patients with repeated attempts among females. In patients with depression those with repeated attempts were younger than patients with single attempt. In patients with mood disorders, total aggression and hostility scores were higher in females with repeated attempts but not in males. Psychiatric diagnosis, gender and attempt mode are features that differentiate patients with single and repeated attempts and should be considered to identify patients at increased risk to repeat attempt and design effective prevention interventions.