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

Risk of suicidal behavior in patients with major depression and bipolar disorder - A systematic review and meta-analysis of registry-based studies

Suicide is a health priority and one of the most common causes of death in mood disorders. One of the limitations of this type of research is that studies often establish rates of suicide behaviors in mood disorders by using diverse comparison groups or simply monitoring cohort of patients over a time period. In this registry-based systematic review, national registers were identified through searches in six academic databases, and information about the occurrence of suicide behaviors in mood disorders was systematically extracted. Odds ratios were subsequently calculated comparing rates of death by suicide in mood disorders in comparison with age and period matched rates of death by suicide in the general population obtained from country-wide national registers. The aim was to provide the most recent summary of epidemiological and clinical factors associated to suicide in mood disorders whilst calculating the likelihood of death by suicide in mood disorders in comparison with non-affected individuals according to national databases. The study follows the Preferred Reporting Guidelines for Systematic Reviews and Meta-analyses and was prespecify registered on Prospero (CRD42020186857). Results suggest that patients with mood disorders are at substantially increased risk of attempting and dying by suicide. Several epidemiological, clinical and social factors are reported to be associated with clinical populations at risk of suicide. Meta-analyses of completed deaths by suicide suggest that the likelihood for dying by suicide in mood disorders is 8.62 times higher in major depression and 8.66 times higher in bipolar disorder with higher number of untoward events in women compared to men in both conditions. The likelihood of dying by suicide in major depressive disorders is higher in the first year following discharge. Clinical guidelines might consider longer periods of monitoring following discharge from hospital. Overall, due to the higher risk of suicide in mood disorders, efforts should be made to increase detection and prevention whilst focusing on reducing risk in the most severe forms of illness with appropriate treatment to promote response and remission at the earliest convenience.

Gender differences in suicide among patients with bipolar disorder: A systematic review and meta-analysis

OBJECTIVE

To examine gender differences in suicidal ideation, suicide attempts, and suicide deaths in patients with bipolar disorder.

METHODS

PubMed, Web of Science, and Embase were systematic searched from inception to March 7, 2023. Two reviewers extract data independently. Demographic data, the number of males and females with bipolar disorder, and the number of individuals with suicidal ideation, suicide attempts, and suicide deaths among participants were extracted.

RESULTS

The pooled prevalence of suicidal ideation in males and females was 48.0 % and 44.0 %, respectively, and the overall male-to-female ratios present a statistically insignificant result (OR = 0.95, 95%CI = 0.75-1.21) among patients with bipolar disorder. The pooled prevalence of suicide attempts in males and females was 6.7 % and 9.3 %, respectively, and there was a statistically significant lower prevalence among male patients with bipolar disorder (OR = 0.71, 95%CI = 0.67-0.75). However, the pooled prevalence of suicide deaths in males and females was 0.7 % and 0.3 % respectively, and there was a statistically significant higher prevalence among male patients with bipolar disorder (OR = 1.86, 95%CI = 1.63-2.13).

LIMITATIONS

The included studies were from mainly middle- and high-income countries and used inconsistent measurement tools. Thus, there is a potential for bias in our results.

CONCLUSIONS

Among patients with bipolar disorder, females were found to have a higher prevalence of suicide attempts, while males have a higher prevalence of suicide deaths. However, there is no significant gender difference in suicidal ideation. Efforts to optimize recognition, treatment, and administration in males and females may reduce gender differences.

Prediction of suicidality in bipolar disorder using variability of intrinsic brain activity and machine learning

Bipolar disorder (BD) is associated with marked suicidal susceptibility, particularly during a major depressive episode. However, the evaluation of suicidal risk remains challenging since it relies mainly on self-reported information from patients. Hence, it is necessary to complement neuroimaging features with advanced machine learning techniques in order to predict suicidal behavior in BD patients. In this study, a total of 288 participants, including 75 BD suicide attempters, 101 BD nonattempters and 112 healthy controls, underwent a resting-state functional magnetic resonance imaging (rs-fMRI). Intrinsic brain activity was measured by amplitude of low-frequency fluctuation (ALFF). We trained and tested a two-level k-nearest neighbors (k-NN) model based on resting-state variability of ALFF with fivefold cross-validation. BD suicide attempters had increased dynamic ALFF values in the right anterior cingulate cortex, left thalamus and right precuneus. Compared to other machine learning methods, our proposed framework had a promising performance with 83.52% accuracy, 78.75% sensitivity and 87.50% specificity. The trained models could also replicate and validate the results in an independent cohort with 72.72% accuracy. These findings based on a relatively large data set, provide a promising way of combining fMRI data with machine learning technique to reliably predict suicide attempt at an individual level in bipolar depression. Overall, this work might enhance our understanding of the neurobiology of suicidal behavior by detecting clinically defined disruptions in the dynamics of instinct brain activity.

Degree of exposure to psychotropic medications and mortality in people with bipolar disorder

OBJECTIVES

To investigate the associations between psychotropic medication dosage and mortality in patients with bipolar disorder.

METHODS

A nationwide cohort of individuals aged ≥15 years who had received a diagnosis of bipolar disorder in 2010 was identified from the Taiwanese national health-care database linked with the mortality registry and followed up for 5 years. The mean defined daily dose (DDD) of mood stabilizers, antipsychotics, antidepressants, and sedative-hypnotics was estimated, and survival analyses were conducted to assess the effects of degree of exposure to psychotropic medications on mortality.

RESULTS

A total of 49,298 individuals (29,048 female individuals, 58.92%) with bipolar disorder were included. Compared with individuals without exposure to mood stabilizers, those prescribed mood stabilizers had a decreased overall mortality risk, regardless of exposure dosage. By contrast, compared with a reference group with no exposure to antipsychotics, individuals using antipsychotics had dose-dependent, increased mortality in both overall causes of deaths and deaths due to cardiovascular diseases, with hazard ratios of 1.13 (95% CI: 1.21-1.42) in the low-dose (<0.5 DDD) group, 1.69 (1.51-1.90) in the moderate-dose (0.5-1.5 DDD) group, and 2.08 (1.69-2.57) in the high-dose (>1.5 DDD) group for overall mortality.

CONCLUSIONS

In sum, mood stabilizers were associated with decreased overall mortality in individuals with bipolar disorder, regardless of the dosage. However, the use of antipsychotics appeared to be associated with a dose-dependent increased mortality risk. Owing to study limitations, precise information on prior use of psychotropic medications, and patient's adherence to medication are not available. Potential adverse effects and benefits should be carefully considered when prescribing psychotropic medications for long-term use in patients with bipolar disorder.

Factors associated with risk of death by suicide after psychiatric hospitalization by the Unified Health System in Brazil (2002-2015)

OBJECTIVE

To investigate overall and sex-related characteristics associated with the risk of death by suicide within 365 days of discharge in patients admitted to psychiatric hospitals in the Brazilian Unified Health System (SUS).

METHOD

A non-concurrent prospective cohort of adult patients admitted to psychiatric hospitals in the SUS, from 2002 to 2015. Patients were stratified according to sociodemographic and clinical variables. Adjusted hazard ratios (aHRs) of suicide within 365 days of discharge were estimated using Cox proportional hazard regression models.

RESULTS

This sample comprised 1,228,784 adult patients admitted to psychiatric hospitals. Of these, 3201 died by suicide within 365 days of discharge. The risk of suicide was positively associated with male sex, age between 18 and 29 years, living in the South region, and living in rural or intermediate municipalities. The highest risk of suicide was among patients with depressive disorders (aHR, 3.87; 95%CI, 3.41-4.38) follow by opioid-related disorders (aHR, 2.71; 95%CI, 2.00-3.67), particularly among female patients.

CONCLUSION

Patients with a psychiatric hospital admission should have access to mental health care services immediately after discharge and in the long term. Findings of this study may support suicide prevention policies and have implications for clinical decisions related to patient discharge and follow-up.

Coexisting service-related factors preceding suicide: a network analysis

OBJECTIVES

The overall objective was to analyse service-related factors involved in the complex processes that precede suicide in order to identify potential targets for intervention.

DESIGN AND SETTING

Explorative network analysis study of post-suicide root cause analysis data from Swedish primary and secondary healthcare.

PARTICIPANTS

217 suicide cases reported to the Swedish national root cause analysis database between 2012 and 2017.

PRIMARY AND SECONDARY OUTCOME MEASURES

A total of 961 reported incidents were included. Demographic data and frequencies of reported deficiencies were registered. Topology, centrality indices and communities were explored for three networks. All networks have been tested for robustness and accuracy.

RESULTS

Lack of follow-up, evaluations and insufficient documentation issues emerged as central in the network of major themes, as did the contributing factors representing organisational problems, failing procedures and miscommunication. When analysing the subthemes of deficiencies more closely, disrupted treatments and staffing issues emerged as prominent features. The network covering the subthemes of contributing factors also highlighted discontinuity, fragile work structures, inadequate routines, and lack of resources and relevant competence as potential triggers. However, as the correlation stability coefficients for this network were low, the results need further investigation. Four communities were detected covering nodes for follow-up, evaluation, cooperation, and procedures; communication, documentation and organisation; assessments of suicide risk and psychiatric status; and staffing, missed appointments and declined treatment.

CONCLUSION

The results of this study suggest that healthcare providers may improve patient safety in suicide preventive pathways by taking active measures to provide regular follow-ups to patients with elevated suicide risk. In some cases, declined or cancelled appointments could be a warning sign. Tentative results show organisational instability, in terms of work structure, resources and staffing, as a potential target for intervention, although this must be more extensively explored in the future.