Divalproex and its effect on suicide risk in bipolar disorder: A systematic review and meta-analysis of multinational observational studies

Genetic signatures of suicide attempt behavior: insights and applications

INTRODUCTION

Every year about 800,000 complete suicide events occur. The identification of biologic markers to identify subjects at risk would be helpful in targeting specific support treatments.

AREA COVERED

A narrative review defines the meta-analytic level of current evidence about the biologic markers of suicide behavior (SB). The meta-analytic evidence gathered so far indicates that the hypothesis-driven research largely failed to identify the biologic markers of suicide. The most consistent and replicated result was reported for: 1) 5-HTR2A T102C, associated with SB in patients with schizophrenia (OR = 1.73 (1.11-2.69)) and 2) BDNF Val66Met (rs6265), with the Met-Val + Val-Val carriers found to be at risk for suicide in the Caucasian population (OR: 1.96 (1.58-2.43)), while Val-Val vs. Val-Met + Met carriers found to be at risk for suicide in the Asian populations (OR: 1.36 (1.04-1.78)). GWAS-based meta-analyses indicate some positive replicated findings regarding the DRD2, Neuroligin gene, estrogen-related genes, and genes involved in gene expression.

EXPERT OPINION

Most consistent results were obtained when analyzing sub-samples of patients. Some promising results come from the implementation of the polygenic risk score. There is no current consensus about an implementable biomarker for SB.

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.

Risk factors for suicidal behavior/ideation and hostility/aggression in patients with bipolar disorders: An analysis using the Japanese Adverse Drug Event Report database

The present study attempted to identify risk factors for suicidality and hostility/aggression in patients with bipolar disorders. Data on 3521 patients were extracted from the Japanese Adverse Drug Event Report (JADER) database. There were 134 reports regarding suicidal behavior/ideation, and 129 patients were judged to have it. Standardized Medical Dictionary for Regulatory Activities queries indicated that 248 adverse drug events pertained to hostility/aggression, and 218 patients were considered to show hostility/aggression. A multiple logistic regression analysis revealed the association of the risk for suicidal behavior/ideation with bipolar II disorder [adjusted odds ratio (aOR): 4.55, 95% confidence interval (CI): 1.90-10.9], male sex (aOR: 1.23, 95% CI: 1.02-1.48), age <50 years (aOR: 1.75, 95% CI: 1.43-2.15), the administration of aripiprazole (aOR: 1.27, 95% CI: 1.00-1.60), and akathisia (aOR: 3.05, 95% CI: 1.80-5.18), while lithium carbonate decreased its odds (aOR: 0.664, 95% CI: 0.537-0.821). The risk of hostility/aggression was associated with male sex (aOR: 1.22, 95% CI: 1.06-1.40), lithium carbonate (aOR: 0.823, 95% CI: 0.710-0.953), and carbamazepine (aOR: 0.693, 95% CI: 0.500-0.961). No association between suicidal behavior/ideation and hostility/aggression was recognized. The present study proposes factors related with suicidal behavior/ideation and hostility/aggression in patients with bipolar disorders using the JADER database. Lithium carbonate appeared to decrease the risks of suicidal behavior/ideation and hostility/aggression in patients with bipolar disorders, and akathisia may be associated with the former risk. Further studies are required to evaluate the identified signals.

Long-term use of valproic acid reduced mortality in bipolar disorder patients in a Taiwanese population: An association analysis using the national health insurance research database (NHIRD)

OBJECTIVE

Valproic acid (VPA) is used for the treatment of epilepsy and bipolar disorder (BD). The aims of this study was to examine that long-term VPA use affects mortality in BD patients.

METHODS

Association analysis was conducted using the National Health Insurance Research Database (NHIRD) of Taiwan. The long-term VPA use group was selected as patients treated with VPA for BD who used VPA only. The control group consisted of BD patients who were not treated with VPA or lithium. The lithium use group consisted by BD patients used lithium only was also joined the analysis. The cofactors included age (>65 years), sex and the Charlson Comorbidity Index.

RESULTS

The hazard ratio (HR) of mortality for the VPA group was 0.83 (95% confidence interval (CI), (0.70-0.99); P = 0.04) and the result of lithium group did not reach statistical significance. Furthermore only the duration> 3 years subgroup had a significantly lower incidence of mortality than the control group, with an HR of 0.54 (95% CI, (0.42-0.70); P < 0.001) and 0.58 (95% CI, (0.38, 0.89); P = 0.013 in VPA and lithium groups, respectively. The effect of VPA treatment in terms of reducing the risk of mortality was evidenced only in the male population and the <65 years subgroup (HR: 0.75; 95% CI, (0.59-0.95), and 0.78; 95% CI, (0.64-0.96), respectively). The major limitation of this study was that the causes of death of the expired subjects were not available.

CONCLUSION

Long-term VPA use decreases the risk of mortality in BD patients, especially in the male population and those aged <65 years.

Month of birth and the risk of narcolepsy: a systematic review and meta-analysis

STUDY OBJECTIVES

The aim of this study is to evaluate the relationship between the month of birth (MOB) and the risk of narcolepsy.

METHODS

We conducted a systematic review of electronic databases, namely PubMed, Embase, and Cochrane CENTRAL, from their inception to September 30, 2021. We also added data on narcolepsy from the National Database in Taiwan. Then we extracted the relative risk ratios (RR) of narcolepsy in each month of birth to that of the general population and transformed them from month of birth to season. A random-effects model was used to calculate pooled RRs from the meta-analysis and 95% confidence interval (CI).

RESULTS

The current meta-analysis analyzed seven studies and included 3776 patients from eight areas. The RR was highest in March (RR 1.11 [95% CI 0.99-1.26]) or August (1.11 [0.98-1.26]) and lowest in April (0.90 [0.78-1.03]). However, none of the MOBs reached statistical significance. Moreover, the patterns of the three continents were different. In North America, the highest and lowest significant risks were found in March (1.47 [1.20-1.79]) and September (0.75 [95% CI 0.56-0.99]). In Asia, the notable lowest risk was in April (0.80 [0.66-0.97]). In Europe, the risk of narcolepsy is not significantly related to any MOB. In terms of seasons, only spring births in North America had a significantly higher risk (1.21 [1.06-1.38]).

CONCLUSIONS

The findings indicated that the risk of narcolepsy and MOB differed across the three continents. This study indicates the important role of environmental factors in narcolepsy.

SYSTEMATIC REVIEW REGISTRATION

Registry: PROSPERO; Identifier: CRD42020186660.

Using Machine Learning Imputed Outcomes to Assess Drug-Dependent Risk of Self-Harm in Patients with Bipolar Disorder: A Comparative Effectiveness Study

BACKGROUND

Incomplete suicidality coding in administrative claims data is a known obstacle for observational studies. With most of the negative outcomes missing from the data, it is challenging to assess the evidence on treatment strategies for the prevention of self-harm in bipolar disorder (BD), including pharmacotherapy and psychotherapy. There are conflicting data from studies on the drug-dependent risk of self-harm, and there is major uncertainty regarding the preventive effect of monotherapy and drug combinations.

OBJECTIVE

The aim of this study was to compare all commonly used BD pharmacotherapies, as well as psychotherapy for the risk of self-harm, in a large population of commercially insured individuals, using self-harm imputation to overcome the known limitations of this outcome being underrecorded within US electronic health care records.

METHODS

The IBM MarketScan administrative claims database was used to compare self-harm risk in patients with BD following 65 drug regimens and drug-free periods. Probable but uncoded self-harm events were imputed via machine learning, with different probability thresholds examined in a sensitivity analysis. Comparators included lithium, mood-stabilizing anticonvulsants (MSAs), second-generation antipsychotics (SGAs), first-generation antipsychotics (FGAs), and five classes of antidepressants. Cox regression models with time-varying covariates were built for individual treatment regimens and for any pharmacotherapy with or without psychosocial interventions ("psychotherapy").

RESULTS

Among 529,359 patients, 1.66% (n=8813 events) had imputed and/or coded self-harm following the exposure of interest. A higher self-harm risk was observed during adolescence. After multiple testing adjustment (P≤.012), the following six regimens had higher risk of self-harm than lithium: tri/tetracyclic antidepressants + SGA, FGA + MSA, FGA, serotonin-norepinephrine reuptake inhibitor (SNRI) + SGA, lithium + MSA, and lithium + SGA (hazard ratios [HRs] 1.44-2.29), and the following nine had lower risk: lamotrigine, valproate, risperidone, aripiprazole, SNRI, selective serotonin reuptake inhibitor (SSRI), "no drug," bupropion, and bupropion + SSRI (HRs 0.28-0.74). Psychotherapy alone (without medication) had a lower self-harm risk than no treatment (HR 0.56, 95% CI 0.52-0.60; P=8.76×10^-58). The sensitivity analysis showed that the direction of drug-outcome associations did not change as a function of the self-harm probability threshold.

CONCLUSIONS

Our data support evidence on the effectiveness of antidepressants, MSAs, and psychotherapy for self-harm prevention in BD.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02893371; https://clinicaltrials.gov/ct2/show/NCT02893371.

Astroglial Connexin43 as a Potential Target for a Mood Stabiliser

Mood disorders remain a major public health concern worldwide. Monoaminergic hypotheses of pathophysiology of bipolar and major depressive disorders have led to the development of monoamine transporter-inhibiting antidepressants for the treatment of major depression and have contributed to the expanded indications of atypical antipsychotics for the treatment of bipolar disorders. In spite of psychopharmacological progress, current pharmacotherapy according to the monoaminergic hypothesis alone is insufficient to improve or prevent mood disorders. Recent approval of esketamine for treatment of treatment-resistant depression has attracted attention in psychopharmacology as a glutamatergic hypothesis of the pathophysiology of mood disorders. On the other hand, in the last decade, accumulated findings regarding the pathomechanisms of mood disorders emphasised that functional abnormalities of tripartite synaptic transmission play important roles in the pathophysiology of mood disorders. At first glance, the enhancement of astroglial connexin seems to contribute to antidepressant and mood-stabilising effects, but in reality, antidepressive and mood-stabilising actions are mediated by more complicated interactions associated with the astroglial gap junction and hemichannel. Indeed, several depressive mood-inducing stress stimulations suppress connexin43 expression and astroglial gap junction function, but enhance astroglial hemichannel activity. On the other hand, monoamine transporter-inhibiting antidepressants suppress astroglial hemichannel activity and enhance astroglial gap junction function, whereas several non-antidepressant mood stabilisers activate astroglial hemichannel activity. Based on preclinical findings, in this review, we summarise the effects of antidepressants, mood-stabilising antipsychotics, and anticonvulsants on astroglial connexin, and then, to establish a novel strategy for treatment of mood disorders, we reveal the current progress in psychopharmacology, changing the question from "what has been revealed?" to "what should be clarified?".

Bipolar disorders

Bipolar disorders are a complex group of severe and chronic disorders that includes bipolar I disorder, defined by the presence of a syndromal, manic episode, and bipolar II disorder, defined by the presence of a syndromal, hypomanic episode and a major depressive episode. Bipolar disorders substantially reduce psychosocial functioning and are associated with a loss of approximately 10-20 potential years of life. The mortality gap between populations with bipolar disorders and the general population is principally a result of excess deaths from cardiovascular disease and suicide. Bipolar disorder has a high heritability (approximately 70%). Bipolar disorders share genetic risk alleles with other mental and medical disorders. Bipolar I has a closer genetic association with schizophrenia relative to bipolar II, which has a closer genetic association with major depressive disorder. Although the pathogenesis of bipolar disorders is unknown, implicated processes include disturbances in neuronal-glial plasticity, monoaminergic signalling, inflammatory homoeostasis, cellular metabolic pathways, and mitochondrial function. The high prevalence of childhood maltreatment in people with bipolar disorders and the association between childhood maltreatment and a more complex presentation of bipolar disorder (eg, one including suicidality) highlight the role of adverse environmental exposures on the presentation of bipolar disorders. Although mania defines bipolar I disorder, depressive episodes and symptoms dominate the longitudinal course of, and disproportionately account for morbidity and mortality in, bipolar disorders. Lithium is the gold standard mood-stabilising agent for the treatment of people with bipolar disorders, and has antimanic, antidepressant, and anti-suicide effects. Although antipsychotics are effective in treating mania, few antipsychotics have proven to be effective in bipolar depression. Divalproex and carbamazepine are effective in the treatment of acute mania and lamotrigine is effective at treating and preventing bipolar depression. Antidepressants are widely prescribed for bipolar disorders despite a paucity of compelling evidence for their short-term or long-term efficacy. Moreover, antidepressant prescription in bipolar disorder is associated, in many cases, with mood destabilisation, especially during maintenance treatment. Unfortunately, effective pharmacological treatments for bipolar disorders are not universally available, particularly in low-income and middle-income countries. Targeting medical and psychiatric comorbidity, integrating adjunctive psychosocial treatments, and involving caregivers have been shown to improve health outcomes for people with bipolar disorders. The aim of this Seminar, which is intended mainly for primary care physicians, is to provide an overview of diagnostic, pathogenetic, and treatment considerations in bipolar disorders. Towards the foregoing aim, we review and synthesise evidence on the epidemiology, mechanisms, screening, and treatment of bipolar disorders.

Bipolar depression: a major unsolved challenge

Depression in bipolar disorder (BD) patients presents major clinical challenges. As the predominant psychopathology even in treated BD, depression is associated not only with excess morbidity, but also mortality from co-occurring general-medical disorders and high suicide risk. In BD, risks for medical disorders including diabetes or metabolic syndrome, and cardiovascular disorders, and associated mortality rates are several-times above those for the general population or with other psychiatric disorders. The SMR for suicide with BD reaches 20-times above general-population rates, and exceeds rates with other major psychiatric disorders. In BD, suicide is strongly associated with mixed (agitated-dysphoric) and depressive phases, time depressed, and hospitalization. Lithium may reduce suicide risk in BD; clozapine and ketamine require further testing. Treatment of bipolar depression is far less well investigated than unipolar depression, particularly for long-term prophylaxis. Short-term efficacy of antidepressants for bipolar depression remains controversial and they risk clinical worsening, especially in mixed states and with rapid-cycling. Evidence of efficacy of lithium and anticonvulsants for bipolar depression is very limited; lamotrigine has long-term benefit, but valproate and carbamazepine are inadequately tested and carry high teratogenic risks. Evidence is emerging of short-term efficacy of several modern antipsychotics (including cariprazine, lurasidone, olanzapine-fluoxetine, and quetiapine) for bipolar depression, including with mixed features, though they risk adverse metabolic and neurological effects.

Suicide and suicide risk

Although recent years have seen large decreases in the overall global rate of suicide fatalities, this trend is not reflected everywhere. Suicide and suicidal behaviour continue to present key challenges for public policy and health services, with increasing suicide deaths in some countries such as the USA. The development of suicide risk is complex, involving contributions from biological (including genetics), psychological (such as certain personality traits), clinical (such as comorbid psychiatric illness), social and environmental factors. The involvement of multiple risk factors in conveying risk of suicide means that determining an individual's risk of suicide is challenging. Improving risk assessment, for example, by using computer testing and genetic screening, is an area of ongoing research. Prevention is key to reduce the number of suicide deaths and prevention efforts include universal, selective and indicated interventions, although these interventions are often delivered in combination. These interventions, combined with psychological (such as cognitive behavioural therapy, caring contacts and safety planning) and pharmacological treatments (for example, clozapine and ketamine) along with coordinated social and public health initiatives, should continue to improve the management of individuals who are suicidal and decrease suicide-associated morbidity.

Suicide Risk in Bipolar Disorder: A Brief Review

Bipolar disorders (BDs) are prevalent mental health illnesses that affect about 1-5% of the total population, have a chronic course and are associated with a markedly elevated premature mortality. One of the contributors for the decreased life expectancy in BD is suicide. Accordingly, the rate of suicide among BD patients is approximately 10-30 times higher than the corresponding rate in the general population. Extant research found that up to 20% of (mostly untreated) BD subjects end their life by suicide, and 20-60% of them attempt suicide at least one in their lifetime. In our paper we briefly recapitulate the current knowledge on the epidemiological aspects of suicide in BD as well as factors associated with suicidal risk in BD. Furthermore, we also discuss concisely the possible means of suicide prevention in BD.