Prevalence of suicidal ideation and planning in patients with major depressive disorder: A meta-analysis of observation studies

Exploring neural changes associated with suicidal ideation and attempts in major depressive disorder: A multimodal study

Suicidal ideation (SI) and suicide attempts (SA) are highly prevalent in individuals with major depressive disorder (MDD). To explore the structural and functional neural changes associated with SI and SA, we analyzed multimodal Magnetic Resonance Imaging (MRI) data from 159 participants, including those with MDD with suicide attempts (SA group, n = 34), those with MDD with suicidal ideation but not attempts (SI group, n = 53), those with MDD without suicidal ideation (NSI group, n = 14), and healthy controls (HC, n = 59). Voxel-based morphometry (VBM) analysis was performed to estimate and compare gray matter volume (GMV) across groups. Subsequently, a seed-based resting-state functional connectivity (rsFC) analysis was conducted to explore the functional networks associated with the structural brain changes related to suicidal ideation and suicide attempts. Compared with the HC and NSI groups, the SI group showed decreased GMV in the left dorsolateral prefrontal cortex (DLPFC), insula, fusiform gyrus, right posterior cerebellum, and right middle temporal gyrus. Additionally, when compared to the HC and SI groups, the SA group demonstrated smaller GMV in the right superior medial frontal gyrus (SFGmed), left superior and inferior occipital gyri, and superior temporal gyrus (STG), and right cuneus, but larger GMV in the right STG. Moreover, GMV in the insula, cerebellum posterior lobe, and SFGmed was negatively correlated with the scores of the Beck Scale for Suicide Ideation (BSSI). The rsFC analysis revealed weaker rsFC between the left insula and the left SFG as well as between the bilateral middle frontal orbital gyrus and the right SFGmed and the left middle occipital gyrus, but stronger rsFC of the right cerebellum posterior lobe with the left precentral gyrus and right parahippocampal gyrus among the SI group compared to the NSI group and HCs. Additionally, the SA group demonstrated weaker rsFC between the right cerebellum posterior lobe and the left cerebellum posterior lobe as well as the right lingual gyrus, but stronger rsFC between the right SFGmed and the left middle temporal gyrus and right inferior parietal lobule compared to the SI group. Our results indicate that structural and functional changes related to insula, DLPFC and cerebellum posterior lobe are associated with the generation and escalation of SI in MDD, while the structural and functional changes related to SFGmed and STG play a crucial role in the transformation from SI to SA in MDD.

Hospitalizations for depressive disorders in Ecuador: An eight-year nationwide analysis of trends and demographic insights

BACKGROUND

Sociodemographic characteristics and limited mental health care access may contribute to higher depression rates in low- and middle-income countries. This study aimed to analyze nationwide depressive disorder hospitalizations in Ecuador.

METHODS

We assessed the sociodemographic characteristics, severity, recurrence, and duration of hospitalizations for depressive disorders. The dataset used is publicly available on the Ecuadorian National Institute of Statistics and Censuses website. Multivariable multinomial logistic regression was performed to calculate adjusted relative risk ratios (aRRR).

RESULTS

14,586 hospitalizations were analyzed during 2015-2022. There was a significant increase in depressive disorders hospitalizations, from 9.41 cases per 100,000 inhabitants in 2015 to 13.9 in 2022. Females accounted for 65.7 % of hospital admissions. Depressive disorder hospitalizations had a mean age of 33.43 years. Severe depressive disorders without psychotic symptoms had the highest average hospitalization rate during 2015-2022 with 3.53 cases per 100,000 inhabitants. Individuals aged 20-29 years (aRRR 1.68, 95 % CI 1.27-2.22) and those aged 30-39 years (aRRR 1.81, 95 % CI 1.32-2.47) had higher probabilities of hospitalization for severe depressive disorder without psychotic symptoms. Patients with severe depression with or without psychotic symptoms were more likely of being hospitalized for seven or more days. Ethnic minorities were less likely to be hospitalized for severe depressive disorder without psychotic symptoms.

CONCLUSION

These findings highlight the increasing rates of depressive disorders in low- and middle-income countries such as Ecuador and emphasize the necessity for public health strategies focused on vulnerable groups.

The trajectory of depressive symptoms and the association with quality of life and suicidal ideation in patients with major depressive disorder

BACKGROUND

Major depressive disorder (MDD) is the most prevalent mental health disorder globally. However, the association between depressive symptom trajectories in the early period and subsequent mental health outcomes remains not fully elucidated. This study aimed to delineate the depressive symptom trajectories during the initial phase of treatment, identify baseline characteristics associated with these trajectories, and explore the association of trajectories with subsequent quality of life and suicidal ideation.

METHODS

Participants were from the Depression Cohort in China. The diagnosis of MDD was assessed using the Mini-International Neuropsychiatric Interview (M.I.N.I.). Information on depressive symptom severity, quality of life, suicidal ideation and other demographics were collected. Latent class trajectory modeling was used to identify distinct classes of depressive symptom trajectories.

RESULTS

A total of 566 patients with MDD were included, and we identified 3 categories with differential trajectories characterized by improving class (66.7%), moderate decreasing class (27.7%), and persistent high class (5.6%). Compared to the improving class, severer anxiety and depressive symptoms at baseline increased the odds of belonging to the moderate decreasing class and persistent high class. Both moderate decreasing class and persistent high class were associated with increased risks of subsequent diminished quality of life. Additionally, only persistent high class was associated with a higher risk of subsequent suicidal ideation.

CONCLUSION

Severe baseline anxiety and depressive symptoms identify a subpopulation of persons living with MDD who evince a greater likelihood of symptom worsening over time as well as greater decrements in quality of life and worsening measures of suicidality.

Gender differences in the network of suicidal ideation, interpersonal needs and depressive symptoms among Chinese college students

Interpersonal needs and depression are two recognized significant risk factors for suicidal ideation. Previous studies have preliminarily revealed the gender-dependent effects of interpersonal needs and depression on suicidal ideation. However, there are very few studies that place these variables within a single framework and apply symptom-level analysis to investigate the gender-dependent relationships among them. This study applied symptom-level network analysis to construct female and male networks using data from 781 female and 628 male young adults. The networks included interpersonal needs, depressive symptoms, and suicidal ideation. Key characteristics of networks, including edge connections, bridge expected influence (BEI), and global expected influence (GEI), were compared. The results suggested that gender significantly impacts edge connections, node BEI, and GEI of the final networks. Several significantly gender-dependent connections were disclosed, such as perceived burdensomeness (PB)-suicidal ideation, hopelessness-suicidal ideation, PB-sense of failure, and PB-sadness. PB (marginally) and thwarted belongingness show significant gender differences in their impact on depressive symptoms. The GEI of the female network is significantly greater than that of the male network. These findings offer valuable insights for modern theoretical frameworks examining gender differences in the connections between suicidal ideation, interpersonal needs, and depressive symptoms. Additionally, results provide empirical support for selecting screening, prevention, and intervention strategies for suicidal ideation and depression across genders.

Cumulative effects of stress-sensitivity factors on depressive symptoms and suicide risk: A prospective study

BACKGROUND

Sensitivity to stress is essential in the onset, clinical symptoms, course, and prognosis of major depressive disorder (MDD). Meanwhile, it was unclear how variously classified but connected stress-sensitivity variables affect MDD. We hypothesize that high-level trait- and state-related stress-sensitivity factors may have different cumulative effects on the clinical symptoms and follow-up outcomes of MDD.

AIM

To investigate how stress-sensitivity factors added up and affected MDD clinical symptoms and follow-up results.

METHODS

In this prospective study, 281 MDD patients were enrolled from a tertiary care setting. High-level stress-sensitivity factors were classified as trait anxiety, state anxiety, perceived stress, and neuroticism, with a total score in the top quartile of the research cohort. The cumulative effects of stress-sensitivity factors on cognitive dysfunction, disability and functional impairment, suicide risk, and depressive and anxiety symptoms were examined using an analysis of variance with linear trend analysis. Correlations were investigated further using multiple regression analysis.

RESULTS

Regarding high-level stress-sensitivity factors, 53.40% of patients had at least one at baseline, and 29.61% had two or more. Four high-level stress-sensitivity components had significant cumulative impacts on MDD symptoms at baseline (all P < 0.001). Perceived stress predicted the greatest effect sizes of state-related factors on depressive symptoms (partial η 2 = 0.153; standardized β = 0.195; P < 0.05). The follow-up outcomes were significantly impacted only by the high-level trait-related components, mainly when it came to depressive symptoms and suicide risk, which were predicted by trait anxiety and neuroticism, respectively (partial η 2 = 0.204 and 0.156; standardized β = 0.247 and 0.392; P < 0.05).

CONCLUSION

To enhance outcomes of MDD and lower the suicide risk, screening for stress-sensitivity factors and considering multifaceted measures, mainly focusing on trait-related ones, should be addressed clinically.

Structural brain changes in the anterior cingulate cortex of major depressive disorder individuals with suicidal ideation: Evidence from the REST-meta-MDD project

BACKGROUND

Suicidal ideation (SI) is very common in patients with major depressive disorder (MDD). However, its neural mechanisms remain unclear. The anterior cingulate cortex (ACC) region may be associated with SI in MDD patients. This study aimed to elucidate the neural mechanisms of SI in MDD patients by analyzing changes in gray matter volume (GMV) in brain structures in the ACC region, which has not been adequately studied to date.

METHODS

According to the REST-meta-MDD project, this study subjects consisted of 235 healthy controls and 246 MDD patients, including 123 MDD patients with and 123 without SI, and their structural magnetic resonance imaging data were analyzed. The 17-item Hamilton Depression Rating Scale (HAMD) was used to assess depressive symptoms. Correlation analysis and logistic regression analysis were used to determine whether there was a correlation between GMV of ACC and SI in MDD patients.

RESULTS

MDD patients with SI had higher HAMD scores and greater GMV in bilateral ACC compared to MDD patients without SI (all p < 0.001). GMV of bilateral ACC was positively correlated with SI in MDD patients and entered the regression equation in the subsequent logistic regression analysis.

CONCLUSIONS

Our findings suggest that GMV of ACC may be associated with SI in patients with MDD and is a sensitive biomarker of SI.

An exploratory analysis on the association between suicidal ideation and the microbiome in patients with or without major depressive disorder

BACKGROUND

Scarce research has investigated associations between suicidal ideation and the gut microbiota. We aimed to explore variations in the gut microbiome associated with suicidal ideation and major depressive disorder (MDD).

METHOD

A case-control study compared abundances of fecal microbiota and biomarkers of gut permeability among patients with MDD, with or without suicidal ideation, and healthy volunteers without depression. Information on demographic variables and assessments of suicidal ideation (Beck Suicidal Ideation Scale), depression (Hamilton Depression Scale, Patient Health Questionnaire, Hospital Anxiety and Depression Scale- Depression), as well as anxiety (Hospital Anxiety and Depression Scale- Anxiety), were obtained. Univariate and multivariate regression model was performed to explore the possible predictors of suicidal ideation.

RESULTS

Among the 140 participants, significant differences in Beta diversity were found between MDD patients with (n = 43) or without suicidal ideation (n = 34), and healthy volunteers (n = 42) (all p < 0.001). The strain of g-Phascolarctobacterium was found to have significant positive associations with scores of BSSI and BSSI Part 1 (suicidal ideation), particularly in MDD patients with suicidal ideation, after controlling for demographic and mood covariates. Mediation analyses revealed that g-Phascolarctobacterium may be a partial mediator between depression and suicidal ideation; however, it is also possible that the association between g-Phascolarctobacterium and suicidal ideation was partially mediated by the level of depression.

CONCLUSION

We found different compositions, diversities, and possible mediating of the gut microbiome associated with suicidal ideations. Potential mechanisms need further investigation to establish whether this reflects a biological process that might be the focus for intervention development.

SYNOPSIS

Our objective was to investigate whether the diversities and abundances of the gut microbiome varied in people with or without suicidal ideation and with or without MDD after considering possible demographic and mood confounders.

Sociodemographic and clinical determinants of suicidal ideation: an analysis in a Peruvian consultation-liaison psychiatry unit

BACKGROUND

Suicidal ideation (SI) poses a significant global health concern, particularly among hospitalized individuals, with gaps in understanding its contributing factors in low and middle-income countries like Peru.

METHODS

Using a cross-sectional design, this study examined 940 patients evaluated by the Consultation-Liaison Psychiatry Unit at a major Peruvian general hospital. Sociodemographic and clinical characteristics were assessed, employing standardized instruments such as the Patient Health Questionnaire-9 (PHQ-9), General Anxiety Disorder Scale (GAD-7), Patient Health Questionnaire-15 (PHQ-15), and Clinical Global Impressions (CGI). The prevalence of SI and its associations were explored through bivariate and multivariate analyses.

RESULTS

The prevalence of SI was 19.7%, with notable associations found in patients experiencing moderate-to-severe depression (36.8%) and those rated as moderately to severely ill on CGI (33.2%). Multivariate analysis confirmed these associations, highlighting link with retirement (aPR = 1.53, 95% CI = 1.04-2.26, p = 0.032), clinical severity (aPR = 1.41, 95% CI = 1.22-1.63, p < 0.0001), and depressive symptoms (aPR = 2.98, 95% CI = 2.13-4.17, p < 0.0001) on SI.

CONCLUSION

This study provides insights into factors associated with SI among hospitalized patients. Identifying risk factors, such as retirement, clinical severity, and depressive symptoms, underscores the need for targeted interventions to address SI within the Peruvian general hospital setting.

Natural language processing to identify suicidal ideation and anhedonia in major depressive disorder

BACKGROUND

Anhedonia and suicidal ideation are symptoms of major depressive disorder (MDD) that are not regularly captured in structured scales but may be captured in unstructured clinical notes. Natural language processing (NLP) techniques may be used to extract longitudinal data on suicidal behaviors and anhedonia within unstructured clinical notes. This study assessed the accuracy of using NLP techniques on electronic health records (EHRs) to identify these symptoms among patients with MDD.

METHODS

EHR-derived, de-identified data were used from the NeuroBlu Database (version 23R1), a longitudinal behavioral health real-world database. Mental health clinicians annotated instances of anhedonia and suicidal symptoms in clinical notes creating a ground truth. Interrater reliability (IRR) was calculated using Krippendorff's alpha. A novel transformer architecture-based NLP model was trained on clinical notes to recognize linguistic patterns and contextual cues. Each sentence was categorized into one of four labels: (1) anhedonia; (2) suicidal ideation without intent or plan; (3) suicidal ideation with intent or plan; (4) absence of suicidal ideation or anhedonia. The model was assessed using positive predictive values (PPV), negative predictive values, sensitivity, specificity, F1-score, and AUROC.

RESULTS

The model was trained, tested, and validated on 2,198, 1,247, and 1,016 distinct clinical notes, respectively. IRR was 0.80. For anhedonia, suicidal ideation with intent or plan, and suicidal ideation without intent or plan the model achieved a PPV of 0.98, 0.93, and 0.87, an F1-score of 0.98, 0.91, and 0.89 during training and a PPV of 0.99, 0.95, and 0.87 and F1-score of 0.99, 0.95, and 0.89 during validation.

CONCLUSIONS

NLP techniques can leverage contextual information in EHRs to identify anhedonia and suicidal symptoms in patients with MDD. Integrating structured and unstructured data offers a comprehensive view of MDD's trajectory, helping healthcare providers deliver timely, effective interventions. Addressing current limitations will further enhance NLP models, enabling more accurate extraction of critical clinical features and supporting personalized, proactive mental health care.

Efficacy of single and repeated ketamine administration for suicidal ideation in adults with psychiatric disorders: A meta-analysis

BACKGROUND

Previous studies have demonstrated rapid-onset anti-suicidal ideation effects of ketamine. This study aimed to compare the efficacy and duration of anti-suicidal thoughts following single- and repeated-dose ketamine administration.

METHODS

We retrieved published studies on ketamine for suicidal ideation (SI) from PubMed, OVID (MEDLINE), Web of Science, and Embase, spanning from inception to May 1, 2024. Standardized mean differences (SMD) in the SI scores were calculated for continuous outcomes.

RESULTS

This study included 49 independent clinical trials involving 3982 participants. After a single ketamine administration, a significant reduction in SI was observed at 4 h (SMD = -0.607, 95 % confidence interval (CI) = [-0.797, -0.418], I2 = 40.69 %), with peak effects observed at 24 h (SMD = -0.955, 95 % CI = [-1.229, -0.682], I2 = 63.66 %) and effects persisted for one month (SMD = -0.948, 95 % CI = [-1.611, -0.285], I2 = 74.32 %). Similar anti-suicidal effects were observed at the treatment endpoint (SMD = -1.228, 95 % CI = [-1.506, -0.950], I2 = 94.56 %) and during a follow-up period of greater than or equal to 1 month (SMD = -1.012, 95 % CI = [-1.695, -0.330], I2 = 80.44 %) with multiple doses of ketamine administration.

CONCLUSIONS

Single ketamine treatment may have a significant and lasting (up to 1 month) beneficial effect on SI. There was no statistical difference in the efficacy and duration of anti-suicidal thoughts between single and serial ketamine administration.

Identification of blood transcriptome modules associated with suicidal ideation in patients with major depressive disorder

The risk of suicide in patients with major depressive disorder (MDD) poses a major concern, with studies suggesting that genetics may be a contributing factor. Although there are many transcriptomic studies on postmortem brain tissue related to suicidal behavior, the blood transcriptional mechanisms of suicidal ideation (SI) remain unknown. This study utilized a weighted gene coexpression network analysis (WGCNA) approach to investigate the associations between gene coexpression modules and SI in individuals with MDD using peripheral blood RNA-seq data from 75 MDD patients with SI (MDD_SI), 82 MDD patients without SI (MDD_nSI), and 149 healthy controls (HC). An ANCOVA was conducted to assess differences in gene coexpression modules among groups, with age and sex included as covariates. The gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) databases were used to annotate module functions. Results indicated that the magenta module (associated with RNA splicing processes) differentiated MDD_SI from MDD_nSI (p = 0.021), while the green module (related to immune and inflammatory responses) distinguished MDD_SI from HC (p = 0.004). Additionally, three modules showed differences between MDD_nSI and HC: magenta (p = 0.009), brown (related to innate immunity and mitochondrial metabolism; p = 0.001), and turquoise (associated with energy metabolism and neurodegeneration; p = 0.005). Our findings highlight that gene expression regulation, immune response, and inflammation may be linked to SI in patients with MDD, while pathways associated with innate immunity, energy metabolism, mitochondrial function, and neurodegeneration appear to be more broadly related to MDD.

Lactobacillus rhamnosus: An emerging probiotic with therapeutic potential for depression

Depression, a complex psychological disorder, involves multiple biological pathways in its pathogenesis. In recent years, the gut-brain axis theory has provided novel insights into the pathogenesis of depression, particularly the crucial role of the gut microbiota in mood regulation. While there remains no universal consensus on the most efficacious strains for depression treatment, Lactobacillus rhamnosus has risen to prominence within the realm of probiotics for its potential to positively modulate depressive symptoms. This review preliminarily explores the clinical significance of Lactobacillus rhamnosus in the treatment of depression and summarizes the potential mechanisms by which Lactobacillus rhamnosus treats depression, including its regulation of gut microbiota, alterations in gene expression, improvement of intestinal barrier function, maintenance of neurotransmitter balance, suppression of inflammatory responses, modulation of the immune system, coping with oxidative stress, and optimization of metabolic processes. Future research needs to further explore these mechanisms and combine them with clinical research results to optimize treatment plans and provide more effective treatment options for patients with depression.

Psychological distress, suicidality and resilience of Lithuanian nurses

BACKGROUND

Nurses, like other healthcare workers, are prone to poorer mental health, increased burnout, and may have an increased risk of suicide.

PURPOSE

This study aimed to evaluate mental health problems among Lithuanian nurses and explore factors associated with them.

METHOD

The survey was completed by 533 nurses. Mental health was assessed using the Depression, Anxiety, and Stress Scale-21, and suicidal ideation was measured with the Suicidal Behaviours Questionnaire-Revised (SBQ-R).

FINDINGS

A large proportion of nurses in the study had high psychological distress, with 18% having high depression, 29.3% - high anxiety, and 17.1% - high stress. 21.2% of the sample had an increased suicide risk. 64.9% of nurses considered changing their careers to a non-medical profession in the last 12 months.

DISCUSSION

Addressing mental health issues in the national healthcare system is critical to avoiding the loss of valued medical community members and ensuring that patients do not lose their critical caretakers.

Peripheral blood cellular immunophenotype in suicidal ideation, suicide attempt, and suicide: a systematic review and meta-analysis

Previous meta-analyses have documented the association of immune-inflammatory pathways with the pathophysiology of Major Depressive Episode (MDE), as reflected by alterations in peripheral blood immune cell counts. However, it remains unclear whether these immunological changes are distinct in individuals experiencing suicidal ideation (SI) or suicidal behavior (SB), beyond the context of an MDE. This systematic review and meta-analysis aimed to examine peripheral immune cell profiles across samples with SI/SB and compare them to healthy controls or patients with MDE. A systematic literature search was conducted in MEDLINE, Embase, and PsycINFO for articles published from inception until June 12, 2023. Two independent reviewers screened the articles for inclusion, extracted data, and assessed the risk of bias using the Newcastle-Ottawa scale. Meta-analyses were performed using a random-effects model to calculate standardized mean differences (SMDs) and 95% confidence intervals (CIs) for immune cell counts or ratios between groups with and without SI/SB. Heterogeneity across studies was assessed using the restricted maximum-likelihood estimator for tau statistic and I2-statistic and tested by the Q test. Publication bias was evaluated using the Egger´s test and funnel plots. Meta-regression analyses were conducted to explore the potential moderating effects of age, gender, current or lifetime SI/SB, and the type of self-harming behavior (SI or SB). The study was registered with PROSPERO (CRD42023433089). The systematic review included 30 studies, with data from 19 studies included in the meta-analyses comprising 139 unique comparisons. Eleven different cell populations or ratios were included, comprising 1973 individuals with SI/SB and 5537 comparison subjects. White blood cell (WBC) and neutrophil counts were higher in individuals with SI/SB than in controls (WBC: SMD = 0.458; 95% CI = 0.367-0.548; p value ≤ 0.001; I2 = 0.002% and; Neutrophils: SMD = 0.581; 95% CI = 0.408-0.753; p < 0.001), indicating an inflammatory process. The neutrophil-to-lymphocyte ratio (NLR) emerged as a potential marker, demonstrating a notable elevation in individuals with SI/SB (SMD = 0.695; 95% CI = 0.054-1.335; p value = 0.033; I2 = 94.281%; Q test p value ≤ 0.001). The elevated NLR appears to be primarily driven by the increase in neutrophil counts, as no significant differences were found in lymphocyte counts between groups. Comparisons among participants with and without SI/SB and depression revealed similar trends with increased NLR, monocyte-to-lymphocyte ratio (MLR), and platelet-to-lymphocyte ratio (PLR) observed in depressed individuals with SI/SB compared to those without SI/SB. Broad alteration in the peripheral immune cell populations and their ratios were observed in individuals with SI/SB, indicating an immune activation or dysfunction. Notably, these immunological changes were also evident when comparing MDE individuals with and without SI/SB, suggesting that such immune dysfunction associated with suicidality cannot be solely attributed to or explained by depressive symptoms. The NLR, MLR, and PLR ratios, in combination with novel immune cellular and protein biomarkers, open new avenues in understanding the immunological underpinnings of SI/SB. These findings highlight the potential utility of immune markers as part of a multi-modal approach for risk stratification and therapeutic monitoring in SI/SB.

Repetitive negative thinking and suicidal ideation in internalizing psychopathologies: A replication study

Suicidal ideation (SI), a risk factor for suicide, is prevalent in internalizing psychopathologies, including depression and anxiety. Rumination and worry are well-studied repetitive negative thinking (RNT) constructs implicated in internalizing psychopathologies. These constructs have shared and distinct characteristics. However, the relationship between rumination and worry and their associations with SI are not fully understood in clinical samples. The present study used correlational and regression analysis to evaluate these relationships as a secondary data analysis in treatment-seeking participants with internalizing psychopathologies in two independent samples (Study 1:n = 143; Study 2:n = 133). Results showed about half of the participants endorsed SI (Study 1:n = 79; Study 2:n = 71). Correlations revealed a significant, positive relationship between rumination and worry. Regression results with SI as the dependent variable showed rumination significantly positively corresponded with SI in both studies. Post-hoc partial correlations controlling for symptom severity (depression, anxiety), worry, and age showed the rumination-SI relationship was maintained in both studies. Findings for worry and SI were inconsistent between studies. Findings indicate rumination, but not worry, could be a stable, unique contributor to SI in internalizing psychopathologies. It may be useful to incorporate RNT into suicide risk assessment for individuals with internalizing conditions.

Neuroimaging studies in major depressive disorder with suicidal ideation or behaviour among Chinese patients: implications for neural mechanisms and imaging signatures

Major depressive disorder (MDD) with suicidal ideation or behaviour (MDSI) is associated with an increased risk of future suicide. The timely identification of suicide risk in patients with MDD and the subsequent implementation of interventions are crucially important to reduce their suffering and save lives. However, the early diagnosis of MDSI remains challenging across the world, as no objective diagnostic method is currently available. In China, the challenge is greater due to the social stigma associated with mental health problems, leading many patients to avoid reporting their suicidal ideation. Additionally, the neural mechanisms underlying MDSI are still unclear, which may hamper the development of effective interventions. We thus conducted this narrative review to summarise the existing neuroimaging studies of MDSI in Chinese patients, including those involving structural magnetic resonance imaging (MRI), functional MRI, neuronal electrophysiological source imaging of the brain dynamics with electroencephalography and magnetoencephalography. By synthesising the current research efforts in neuroimaging studies of Chinese patients with MDSI, we identified potential objective neuroimaging biomarkers, which may aid in the early identification of patients with MDSI who are at high suicide-related risk. Our findings also offer insights into the complex neural mechanisms underlying MDSI and suggest promising therapeutic targets. Furthermore, we propose future directions to discover novel imaging signatures, improve patient care, as well as help psychiatrists and clinical investigators plan their future research.

Clinical predictors of suicidal ideation, suicide attempts and suicide death in depressive disorder: a systematic review and meta-analysis

Patients with depressive disorders are especially prone to suicide risk. Among the clinical predictors of suicidality, those specifically related to depressive disorders have not been accurately detailed. Our aim was to conduct a systematic review and meta-analysis of studies reporting longitudinal predictors of suicidal ideation, suicide attempts and suicide death within depression, including diagnostic subtypes, symptoms, clinical course, and assessment scales. A systematic search of the literature between 2001 and 2022 identified 4422 references, among which 19 studies providing 45 different predictors of suicidality met the inclusion criteria. Random effects meta-analyses were performed for 22 predictors, three for suicidal ideation, eleven for suicide attempts and eight for suicide death. Heterogeneity and publication bias were inspected through I2 tests and Egger's tests respectively. Meta-analysis results showed that severity of hopelessness predicted suicidal ideation and suicide attempts. History of suicide attempts, suicidal ideation, severe depression, and psychotic symptoms predicted subsequent suicide attempts and suicide death. Time to full remission and sleep disturbances were also found as relevant predictors of future suicide behaviours. This review specifies which predictors of suicidality within the clinical features of depression will help clinicians and policy makers to better prevent suicide risk in patients with depressive disorders. Further longitudinal studies are needed to reliably assess the predictive ability of our results and to analyse other possible clinical predictors to prevent suicidality, especially with regard to suicidal ideation.

Typologies of Psychiatric Diagnoses Among Inpatients with Recent Suicide Attempts

OBJECTIVE

Psychiatric multimorbidity is a well-documented risk factor for suicide. However, diagnostic heterogeneity and patterns of comorbidity likely exists within the population of those who attempt suicide. Person-centered statistical approaches, such as latent class analysis (LCA), extract distinguishable groups differentiated by prevalence and comorbidity of psychiatric disorders.

METHOD

The present study used LCA to identify typologies of psychiatric heterogeneity in a sample of 213 inpatients (M age = 33.04 [SD = 12.67]; 57.3% female; 62.4% White; 23.9% Hispanic/Latino) with a history of suicide attempt who were recruited for a suicide prevention clinical trial. Class differences in suicide history characteristics; demographic characteristics; and cognitive-affective and behavioral risk factors, obtained from an initial evaluation involving the administration of a semi-structured diagnostic interview, suicide risk assessment, and battery of self-report measures, were explored.

RESULTS

LCA identified three classes in the best-fitting solution: Depressive-High Comorbidity (n = 68), Depressive-Low Comorbidity (n = 86), and Bipolar (n = 59). The Depressive-Low Comorbidity class reported less severe suicidal ideation (p < .001), anxiety (p < .001), stress (p < .001), unlovability beliefs (p = .006), and impulsivity (p < .001). The Depressive-Low Comorbidity class also reported fewer actual attempts than the Bipolar class (p = .001) and fewer interrupted attempts than the Depressive-High Comorbidity class (p = .004).

CONCLUSIONS

The Depressive-High Comorbidity and Bipolar classes consistently endorsed higher levels of suicide risk factors. These findings may help to illuminate typologies of suicide attempters with unique clinical needs, which is an essential step toward personalized medicine.

Transcriptional Patterns of Brain Structural Covariance Network Abnormalities Associated With Suicidal Thoughts and Behaviors in Major Depressive Disorder

BACKGROUND

Although brain structural covariance network (SCN) abnormalities have been associated with suicidal thoughts and behaviors (STBs) in individuals with major depressive disorder (MDD), previous studies have reported inconsistent findings based on small sample sizes, and underlying transcriptional patterns remain poorly understood.

METHODS

Using a multicenter magnetic resonance imaging dataset including 218 MDD patients with STBs, 230 MDD patients without STBs, and 263 healthy control participants, we established individualized SCNs based on regional morphometric measures and assessed network topological metrics using graph theoretical analysis. Machine learning methods were applied to explore and compare the diagnostic value of morphometric and topological features in identifying MDD and STBs at the individual level. Brainwide relationships between STBs-related connectomic alterations and gene expression were examined using partial least squares regression.

RESULTS

Group comparisons revealed that SCN topological deficits associated with STBs were identified in the prefrontal, anterior cingulate, and lateral temporal cortices. Combining morphometric and topological features allowed for individual-level characterization of MDD and STBs. Topological features made a greater contribution to distinguishing between patients with and without STBs. STBs-related connectomic alterations were spatially correlated with the expression of genes enriched for cellular metabolism and synaptic signaling.

CONCLUSIONS

These findings revealed robust brain structural deficits at the network level, highlighting the importance of SCN topological measures in characterizing individual suicidality and demonstrating its linkage to molecular function and cell types, providing novel insights into the neurobiological underpinnings and potential markers for prediction and prevention of suicide.

Suicidal ideation following internet-delivered tailored CBT for depression - a secondary analysis of a factorial design trial

Introduction

Suicidal ideation is common in major depressive disorder (MDD) and a risk factor for suicidal behavior. Although it can be reduced with psychological treatments, the risks often make clinicians hesitant to offer treatment. This concerns remote treatment options, such as internet-delivered cognitive behavior therapy (ICBT), which may be considered unsafe. Although previous studies indicate that ICBT can reduce self-reported suicidal ideation both as primary and indirect treatment target, questions remain about under what circumstances ICBT can be offered as the primary treatment. In this secondary report, we investigated the importance of different treatment factors in reducing suicidal ideation via ICBT, including different kinds of therapist support.

Methods

We analyzed data from 197 participants from a factorial trial of ICBT for symptoms of MDD. Before inclusion all participants completed a structured clinical interview where obvious suicidal intent lead to exclusion. Suicidal ideation was assessed at pre- and posttreatment using one item of the PHQ-9 and one from BDI-II. The data were analyzed using generalized linear models.

Results

The pre- to posttreatment comparisons showed decreases in the reporting of suicidal ideation. Findings were consistent across the two measures that was used. There was no effect of support format and content tailoring.

Conclusions

The findings suggest that ICBT can help alleviate suicidal ideation even when it is not the focus of the treatment. This was the case regardless of mode of therapist support, who tailored the treatment content, and if case supervision was available or not.

Global prevalence of major depressive disorder in LGBTQ+ samples: A systematic review and meta-analysis of epidemiological studies

BACKGROUND

LGBTQ+ populations have been reported to have higher rates of depression compared with their heterosexual peers. Such data provided us the impetus to conduct a meta-analysis on the worldwide prevalence of major depressive disorder (MDD) in LGBTQ+ populations and moderating factors that contributed to differences in prevalence estimates between studies.

METHODS

A systematic literature search was performed in major international (PubMed, PsycINFO, Web of Science, EMBASE) and Chinese (Chinese Nation Knowledge Infrastructure (CNKI) and WANFANG) databases from dates of inception to 10 December 2021.

RESULTS

48 articles comprising 4,616,903 individuals were included in the meta-analysis. The overall prevalence of MDD was 32.2 % (95%CI: 30.8-33.6 %, I2 = 99.6 %, τ2 = 0.284). MDD prevalence was higher in the LGBTQ+ samples from the United States than other countries, though the difference was not significant in moderator analyses. Moderator analyses indicated point and lifetime prevalence of MDD were significantly higher than estimates based on the past year (Q = 6.270, p = 0.043). Furthermore, studies that relied on convenience sampling had a higher prevalence of MDD than those based on other sampling methods (Q = 8.159, p = 0.017). In meta-regression analyses, mean age (B = 0.03, z = 9.54, p < 0.001) and study quality assessment score (B = 0.24, z = 67.64, p < 0.001) were positively associated with pooled prevalence of MDD while mediation data of year of study (B = -0.08, z = -72.55, p < 0.001) and sample size (B = -1.46, z = -37.83, p < 0.001) were negatively associated with pooled prevalence of MDD in LGBTQ+ samples.

CONCLUSIONS

MDD is common among in LGBTQ+ individuals. Considering the negative consequences MDD has on daily life and well-being, appropriate prevention and treatment measures should be provided to vulnerable members of these populations. The findings of this meta-analysis could facilitate identifying at-risk subgroups, developing relevant health policy for LGBTQ+ individuals and allocating health resources from an intersectionality perspective.

Impact of moderate-to-high-suicide-intent in major depressive disorder: a retrospective cohort study on patient characteristics and healthcare resource utilisation in England

BACKGROUND

Major depressive disorder (MDD) is a disabling mental illness that can affect all aspects of daily life and is a leading cause of healthcare resource utilisation (HCRU).

AIMS

We aimed to characterise patients with MDD with moderate-to-high-suicide-intent, compare their HCRU to patients with MDD without moderate-to-high-suicide-intent, and better understand their patient pathways.

METHODS

This retrospective cohort study used data collected from primary care electronic health records from Clinical Practice Research Datalink (CPRD), linked to Hospital Episode Statistics, Mental Health Services Data Set, and Office for National Statistics in England. Adults diagnosed with ≥ 1 MDD diagnosis between 04/2007 and 11/2015 were categorised by suicide intent.

RESULTS

307,476 patients with MDD were included (294,259 patients without moderate-to-high-suicide-intent and 13,217 with moderate-to-high-suicide-intent). Patients with MDD with moderate-to-high-suicide-intent were younger on average (39.0 vs. 44.8 years) and included a lower percentage of females (58% vs. 65%) compared to patients without moderate-to-high-suicide-intent. HCRU was greater among patients with moderate-to-high-suicide-intent than patients without moderate-to-high-suicide-intent during the first follow-up year for general practitioner consultations (38.5 vs. 29.4), psychiatric outpatient visits (1.5 vs. 0.1), psychiatrist visits (3.6 vs. 0.3), emergency visits (1.5 vs. 0.3), and hospitalisations (86% vs. 26%). Overall, 56% of patients with moderate-to-high-suicide-intent had an antidepressant prescription within 30 days from the initial moderate-to-high-suicide-intent.

CONCLUSIONS

Patients with MDD and moderate-to-high-suicide-intent were younger, included more males and incurred greater HCRU than those without moderate-to-high-suicide-intent. These results suggest a greater need for effective medical care and appropriate treatments for patients with moderate-to-high-suicide-intent, which could help reduce associated symptoms, mortality, and HCRU.

Characterizing Major Depressive Disorder (MDD) using alpha-band activity in resting-state electroencephalogram (EEG) combined with MATRICS Consensus Cognitive Battery (MCCB)

BACKGROUND

The diagnosis of major depressive disorder (MDD) is commonly based on the subjective evaluation by experienced psychiatrists using clinical scales. Hence, it is particularly important to find more objective biomarkers to aid in diagnosis and further treatment. Alpha-band activity (7-13 Hz) is the most prominent component in resting electroencephalogram (EEG), which is also thought to be a potential biomarker. Recent studies have shown the existence of multiple sub-oscillations within the alpha band, with distinct neural underpinnings. However, the specific contribution of these alpha sub-oscillations to the diagnosis and treatment of MDD remains unclear.

METHODS

In this study, we recorded the resting-state EEG from MDD and HC populations in both open and closed-eye state conditions. We also assessed cognitive processing using the MATRICS Consensus Cognitive Battery (MCCB).

RESULTS

We found that the MDD group showed significantly higher power in the high alpha range (10.5-11.5 Hz) and lower power in the low alpha range (7-8.5 Hz) compared to the HC group. Notably, high alpha power in the MDD group is negatively correlated with working memory performance in MCCB, whereas no such correlation was found in the HC group. Furthermore, using five established classification algorithms, we discovered that combining alpha oscillations with MCCB scores as features yielded the highest classification accuracy compared to using EEG or MCCB scores alone.

CONCLUSIONS

Our results demonstrate the potential of sub-oscillations within the alpha frequency band as a potential distinct biomarker. When combined with psychological scales, they may provide guidance relevant for the diagnosis and treatment of MDD.

Changes in suicidal ideation during treatment among patients with major depressive disorder: A 6-month naturalistic follow-up study

AIM

There is limited evidence regarding predictors of changes in suicidal ideation (SI) in patients with major depressive disorder (MDD). The objective of this study was to describe changes in SI over a 6-month period and identify their predictors from naturalistic observations of MDD patients.

METHODS

In the cross-sectional analysis, we examined 257 patients with MDD at the first-visit assessment. Among the patients, 119 who completed the 6-month assessment (completers) were included in the longitudinal analysis. For the evaluation of depressive symptoms, including SI, the Quick Inventory of Depressive Symptomatology-Japanese version was administered at both the first-visit and follow-up assessments. At baseline, we also administered the Japanese version of the Ten Item Personality Inventory to assess personality traits and the PRIME Screen-Revised to assess psychotic symptoms.

RESULTS

In the cross-sectional analysis of first-visit patients, 36.2% (93/257) exhibited SI. Among completers, 14.3% (17/119) had prolonged SI. Among the completers with SI at the first-visit assessment, 38.6% (17/44) had SI at the follow-up assessment (prolonged SI). In linear regression models including all completers, prolonged SI was positively associated with endorsement of suspiciousness/persecutory ideas and negatively associated with higher age.

CONCLUSION

More than one-third of completers who had SI at the first-visit assessment experienced prolonged SI (SI at follow-up). Our findings can help clinicians predict the course of MDD by identifying associated demographic and clinical characteristics.

Longitudinal Association between Stressful Life Events and Suicidal Ideation in Adults with Major Depression Disorder: The Mediating Effects of Insomnia Symptoms

Stressful life events (SLEs) and suicidal ideation (SI) are prevalent in persons with major depression disorder (MDD). Less is known about the underlying role of insomnia symptoms in the association between SLEs and SI. This three-wave prospective cohort study sought to investigate the longitudinal association among SLEs, insomnia symptoms, and SI in persons with MDD. The study population included 511 persons with MDD (mean [SD] age, 28.7 [6.7] years; 67.1% were females). Generalized estimated equations (GEEs) were utilized to explore prospective association among exposure of SLEs, insomnia symptoms, and SI. Additionally, a structural equation model (SEM) was employed to estimate the longitudinal mediating effect of insomnia symptoms in the relationship between SLEs and SI. Our study demonstrated that cumulative SLEs were determined to be longitudinally associated with SI in persons with MDD. We further observed that the association between SLEs and SI was significantly mediated by insomnia symptoms. Clinicians assessing persons with MDD, especially those with the history of SLE, could carefully evaluate and promptly treat insomnia symptoms as part of personalized assessment of their depressive illness, thereby achieving early prevention and intervention for suicidal behaviors in persons with MDD.

Rapid and sustained antidepressant effects of intravenous ketamine in treatment-resistant major depressive disorder and suicidal ideation: a randomized clinical trial

BACKGROUND

Major depressive disorder (MDD) is the most disabling and burdensome mental disorder, negatively affecting an individual's quality of life and daily functioning. the current study was conducted with the aim of investigating the clinical effects of intravenous ketamine on symptoms of MDD and suicidal ideation.

METHODS

The current randomized clinical trial was carried out on 64 patients diagnosed with treatment-resistant major depressive disorder between April and August 2022. The participants were randomly assigned to two groups: the intervention group received a dose of 0.5 mg/kg of ketamine, while the control group received normal saline. The Montgomery-Asberg Depression Scale and Beck's Suicidal Ideation Scale were utilized to assess depression and suicidal ideation, respectively.

RESULTS

One hour after the administration of ketamine treatment, there was a notable and significant improvement in both depression symptoms (35.16 ± 8.13 vs. 14.90 ± 10.09) and suicidal ideation (6.74 ± 6.67 vs. 0.42 ± 1.52). Moreover, there were statistically significant differences in depression scores between the two groups at one hour, four hours, one day, three days, one week, one month, and two months after the administration of ketamine (p-value < 0.001). However, ketamine recipients frequently experienced side effects such as increased heart rate, headache, dizziness, and dissociative syndrome symptoms.

CONCLUSION

The observed rapid onset of action and sustained effect demonstrate the potential of ketamine to provide relief from depressive symptoms in a shorter timeframe compared to traditional treatment approaches. These findings contribute to the growing body of evidence supporting the use of ketamine as a valuable therapeutic option for patients with treatment-resistant depression.

IRCT REGISTRATION

IRCT registration number: IRCT20210806052096N1; IRCT URL: https://www.irct.ir/trial/62243 ; Ethical code: IR.ZUMS.REC.1400.150; Registration date: 2022-04-09.

Gut microbiota and inflammatory factor characteristics in major depressive disorder patients with anorexia

BACKGROUND

This study aimed to explore the gut microbiota and inflammatory factor characteristics in major depressive disorder (MDD) patients with anorexia and to analyze the correlation between gut microbiota and inflammatory factors, anorexia, and HAMD scores.

METHODS

46 MDD patients and 46 healthy controls (HC) were included in the study. The 46 MDD patients were divided into two groups according to whether they had anorexia:20 MDD without anorexia (MDA0 group) and 26 MDD with anorexia (MDA1 group). We used the Hamilton Depression Scale-24 (HAMD-24) to evaluate the depression status of all participants and 16 S ribosomal RNA (16 S rRNA)sequencing to evaluate the composition of the gut microbiota. Inflammatory factors in peripheral blood such as C-reactive protein (CRP) were detected using enzyme-linked immunosorbent assay (ELISA). Spearman's correlation analysis was used to evaluate the correlation between gut microbiota and inflammatory factors, HAMD scores, and anorexia.

RESULTS

1). CRP was significantly higher in the MDA0, MDA1, than HC. 2). An analysis of α-diversity shows: the Simpson and Pielou indices of the HC group are higher than the MDA1 group (P < 0.05). 3). The β-diversity analysis shows differences in the composition of microbial communities between the MDA0, MDA1, and HC group. 4). A correlation analysis showed that Blautia positively correlated with anorexia, HAMD scores, and CRP level, whereas Faecalibacterium, Bacteroides, Roseburia, and Parabacteroides negatively correlated with anorexia, HAMD scores, and CRP level. 5). The receiver operating characteristic (ROC) curve was drawn using the differential bacterial genera between MDD patients with or without anorexia as biomarkers to identify whether MDD patients were accompanied with anorexia, and its area under curve (AUC) was 0.85. The ROC curve was drawn using the differential bacterial genera between MDD patients with anorexia and healthy controls as biomarkers to diagnose MDD patients with anorexia, with its AUC was 0.97.

CONCLUSION

This study suggested that MDD patients with anorexia had a distinct gut microbiota compared to healthy individuals, with higher level of CRP. Blautia was more abundant in MDD patients with anorexia and positively correlated with CRP, HAMD scores, and anorexia. The gut microbiota might have influenced MDD and anorexia through the inflammatory factor CRP.

Differences in resting-state brain activity in first-episode drug-naïve major depressive disorder patients with and without suicidal ideation

Despite altered brain activities being associated with suicidal ideation (SI), the neural correlates of SI in major depressive disorder (MDD) have remained elusive. We enrolled 82 first-episode drug-naïve MDD patients including 41 with SI and 41 without SI, as well as 41 healthy controls (HCs). Resting-state functional and structural MRI data were collected. The measures of fractional amplitude of low-frequency fluctuation (fALFF) and grey matter volume (GMV) were calculated and compared. Compared with HCs, patients with SI exhibited increased fALFF values in the right rectus gyrus and left medial superior frontal gyrus, middle frontal gyrus and precuneus. Decreased GMV in the right parahippocampal gyrus, insula and middle occipital gyrus and increased GMV in the left superior frontal gyrus were detected in patients with SI. In addition, patients without SI demonstrated increased fALFF values in the right superior frontal gyrus and decreased fALFF values in the right postcentral gyrus. Decreased GMV in the left superior frontal gyrus, right medial superior frontal gyrus, opercular part of inferior frontal gyrus, postcentral gyrus, fusiform gyrus and increased left supplementary motor area, superior occipital gyrus, right anterior cingulate gyrus and superior temporal gyrus were revealed in patients with SI. Moreover, in comparison with patients without SI, increased fALFF values were identified in the left precuneus of patients with SI. However, no significant differences were found in GMV between patients with and without SI. These findings might be helpful for finding neuroimaging markers predicting individual suicide risk and detecting targeted brain regions for effective early interventions.

Suicide risk in patients with a current depressive episode during the COVID-19 pandemic

Introduction

The prevalence of major depressive disorder (MDD) increased during the COVID-19 pandemic. Data on suicidality in these patients during the pandemic period remain scarce. The aim of the study was to determine the prevalence and variables associated with serious suicide risk in Russian inpatients with MDD during the COVID-19 pandemic.

Methods

A cross-sectional cohort study with consecutive sampling was conducted from January 1, 2021 to December 31, 2021. All patients completed the Mini International Neuropsychiatric Interview (M.I.N.I.) (including the suicidality module), the Beck Depression Inventory, and the State-Trait Anxiety Inventory, and underwent a semi-structured interview to collect relevant demographic and clinical data. Effect sizes for all independent variables and covariates were calculated using partial eta-squared (ηp2).

Results

Of the 6757 patients with non-psychotic mental disorders assessed, 1605 (23.7%) had MDD confirmed by the M.I.N.I., of whom 17.8% were at serious risk for suicide according to the M.I.N.I. suicidality module. Factors independently associated with serious suicide risk in Russian inpatients with MDD during the pandemic were younger age (ηp2 = 0.021), greater severity of depression (0.038), higher state anxiety (0.003), and nonsuicidal self-injury (NSSI) (0.066). The same variables, except for state anxiety, were independently associated with suicide risk in the subgroup of MDD patients previously infected with SARS-CoV2.

Conclusion

In the COVID-19 pandemic, the proportion of patients with MDD at serious risk of suicide was similar to pre-pandemic data. No associations were found between suicidality in patients with MDD and COVID-related factors. Younger age, greater severity of depression, and especially NSSI were the most significant risk factors for suicide in patients with MDD during the COVID-19 pandemic.

Decreased odds of depressive symptoms and suicidal ideation with higher education, depending on sex and employment status

BACKGROUND

Higher education is associated with reduced depressive symptoms and requires investment without guaranteed employment. It remains unclear how sex and employment status together contribute to the association between mental health and educational attainment. This study investigated the role of sex and employment status together in the associations of 1) depressive symptoms and 2) suicidal ideation with education.

METHODS

Using 2005-2018 National Health and Nutrition Examination Survey data, cross-sectional analyses were conducted on individuals ≥20 years who completed the depression questionnaire and reported their employment status and highest level of education. Survey-weighted multivariable logistic regression models were used to explore how depressive symptoms and suicidal ideation are associated with educational attainment in an analysis stratified by sex and employment status. To account for multiple testing, a significance level of a < 0.01 was used.

RESULTS

Participants (n = 23,669) had a weighted mean age of 43.25 (SD = 13.97) years and 47% were female. Employed females (aOR = 0.47, 95% CI 0.32, 0.69), unemployed females (aOR = 0.47, 95% CI 0.29, 0.75), and unemployed males (aOR = 0.31, 95% CI 0.17, 0.56) with college education had reduced odds of depressive symptoms compared to those with high school education. Employed females with college education also had reduced suicidal ideation odds compared to those with high school education (aOR = 0.41, 95% CI 0.22, 0.76).

CONCLUSIONS

Females demonstrated significant associations between depressive symptoms and education, regardless of employment status, whereas males demonstrated an association only if unemployed. Employed females, in particular, demonstrated a significant association between suicidal ideation and education. These findings may inform future research investigating the underlying mechanisms and etiology of these sex-employment status differences in the association between mental health and education.

Diagnosis of peripartum depression disorder: A state-of-the-art approach from the COST Action Riseup-PPD

BACKGROUND

Peripartum depression (PPD) is a major depression disorder (MDD) episode with onset during pregnancy or within four weeks after childbirth, as defined in DSM-5. However, research suggests that PPD may be a distinct diagnosis. The goal of this study was to summarize the similarities and differences between PPD and MDD by synthesizing the current research on PPD diagnosis concerning different clinical features and give directions for improving diagnosis of PPD in clinical practice.

METHODS

To lay the groundwork for this narrative review, several databases were searched using general search phrases on PPD and its components of clinical diagnosis.

RESULTS

When compared to MDD, peripartum depression exhibits several distinct characteristics. PPD manifests with a variety of symptoms, i.e., more anxiety, psychomotor symptoms, obsessive thoughts, impaired concentration, fatigue and loss of energy, but less sad mood and suicidal ideation, compared to MDD. Although PPD and MDD prevalence rates are comparable, there are greater cross-cultural variances for PPD. Additionally, PPD has some distinct risk factors and mechanisms such as distinct ovarian tissue expression, premenstrual syndrome, unintended pregnancy, and obstetric complications.

CONCLUSION

There is a need for more in-depth research comparing MDD with depression during pregnancy and the entire postpartum year. The diagnostic criteria should be modified, particularly with (i) addition of specific symptoms (i.e., anxiety), (ii) onset specifier extending to the first year following childbirth, (iii) and change the peripartum onset specifier to either "pregnancy onset" or "postpartum onset". Diagnostic criteria for PPD are further discussed.

Effect of next-step antidepressant treatment on suicidal ideation: findings from the VAST-D trial

BACKGROUND

Major depressive disorder (MDD) contributes to suicide risk. Treating MDD effectively is considered a key suicide prevention intervention. Yet many patients with MDD do not respond to their initial medication and require a 'next-step'. The relationship between next-step treatments and suicidal thoughts and behaviors is uncharted.

METHOD

The VA Augmentation and Switching Treatments for Depression trial randomized 1522 participants to one of three next-step treatments: Switching to Bupropion, combining with Bupropion, and augmenting with Aripiprazole. In this secondary analysis, features associated with lifetime suicidal ideation (SI) and attempts (SA) at baseline and current SI during treatment were explored.

RESULTS

Compared to those with SI only, those with lifetime SI + SA were more likely to be female, divorced, or separated, unemployed; and to have experienced more childhood adversity. They had a more severe depressive episode and were more likely to respond to 'next-step' treatment. The prevalence of SI decreased from 46.5% (694/1492) at baseline to 21.1% (315/1492) at end-of-treatment. SI during treatment was associated with baseline SI; low positive mental health, more anxiety, greater severity and longer duration of current MDD episode; being male and White; and treatment with S-BUP or C-BUP as compared to A-ARI.

CONCLUSION

SI declines for most patients during next-step medication treatments. But about 1 in 5 experienced emergent or worsening SI during treatment, so vigilance for suicide risk through the entire 12-week acute treatment period is necessary. Treatment selection may affect the risk of SI.

Adjunctive cariprazine as a novel effective strategy for treating major depressive disorder: A systematic review and meta-analysis

BACKGROUND

Cariprazine has been approved by the Food and Drug Administration for treating bipolar depression and as an adjunctive treatment for Major Depressive Disorder (MDD). However, it remains unclear about its pharmacological efficacy in treating MDD. Therefore, a meta-analysis was conducted to investigate the adjunctive use of cariprazine in MDD.

METHODS

Electronic databases were searched for eligible studies evaluating the efficacy and safety of cariprazine in patients with MDD up to November 15, 2023. The changes in Montgomery-Asberg Depression Rating Scale (MADRS) score and incidence of adverse events (AEs), which represents of efficacy and tolerability, are considered as the main outcomes.

RESULTS

A total of 3066 patients with MDD included in all across 5 RCTs. With regard to MADRS score, cariprazine group showed better results than control group (SMD = -0.12, 95% CI -0.19 to -0.04, P = 0.002, 5 RCTs, n = 3066). Cariprazine, meanwhile, improved the MADRS response (RR = 1.19, 95% CI 1.08 to 1.31, P = 0.0004, 5 RCTs, n = 3066). For safety outcomes, statistical difference was observed in AEs (RR = 1.26, 95% CI 1.18 to 1.35, P < 0.00001, 5 RCTs, n = 3077). The suicide ideation and SAEs showed no statistical difference between two groups.

CONCLUSION

Cariprazine demonstrated antidepressant effect as an augmentation therapy in treating MDD. Meanwhile, the tolerability of it was acceptable as an adjunctive treatment. However, studies with larger sample sizes are still needed to explore the optimal dosage.

Impacts of inflammatory cytokines on depression: a cohort study

BACKGROUND

Inflammatory factors are associated with depression. We seek to investigate the correlation between inflammatory cytokines and prognosis of depression or suicidal ideation and behavior at 3 months in depression patients.

METHODS

Eighty-two depressed outpatients were recruited and treated as usual. Plasma cytokines were measured at baseline. Patients were followed up with Patient Health Questionnaire-9 and suicidal ideation and behavior according to the item 3 of Hamilton depression scale for 3 months.

RESULTS

Compared to the depression patients with low level of interleukin-1β, the high one had severe depressive symptoms at month 2 and 3 (B 0.92, P < 0.01; B 0.86, P = 0.02; respectively). The incidence of suicidal ideation or behavior was 18.3% at 3 months. Depression patients with high levels of tumor necrosis factor-α showed high risk of suicidal ideation and behavior than the low one (OR 2.16, 95% CI 1.00-4.65, P = 0.04).

CONCLUSIONS

High levels of interleukin-1β and tumor necrosis factor-α were predictive of middle-term severe depressive symptoms and suicidal ideation and behavior respectively.

Remaining Between the Cracks - The Long-Term Effect of Different Suicide Risk Exclusion Criterion on Outcomes of an Online Intervention for Depression

Background: Previous studies have demonstrated that excluding individuals at risk of suicide from online depression interventions can impact recruited sample characteristics. Aim: To determine if a small change in suicide risk exclusion criterion led to differences in the usage and effectiveness of an Internet depression intervention at 6 months of follow-up. Method: A partial sample of a recently completed online depression intervention trial was divided into two groups: those with no risk of suicide versus those with some risk. The two groups were compared for baseline demographic and clinical measures, as well as intervention uptake and treatment success across 6 months. Results: Overall, individuals with less risk of suicide at baseline reported significantly less severe clinical symptoms. Both groups interacted with the intervention at the same rate, but specific use of modules was different. Finally, the impact of intervention usage on outcomes over time did not vary by group. Limitations: While different suicide risk exclusion criteria can change recruited sample characteristics, it remains unclear how these differences impact intervention uptake and success. Conclusion: Overall, the findings suggest that researchers should exercise caution when excluding individuals at risk of suicide, as they greatly benefit from web-based interventions.

Oligodendrocyte-derived exosomes-containing SIRT2 ameliorates depressive-like behaviors and restores hippocampal neurogenesis and synaptic plasticity via the AKT/GSK-3β pathway in depressed mice

AIMS

To investigate the antidepressant role of oligodendrocyte-derived exosomes (ODEXs)-containing sirtuin 2 (SIRT2) and the underlying mechanism both in vivo and in vitro.

METHODS

Oligodendrocyte-derived exosomes isolated from mouse serum were administered to mice with chronic unpredictable mild stress (CUMS)-induced depression via the tail vein. The antidepressant effects of ODEXs were assessed through behavioral tests and quantification of alterations in hippocampal neuroplasticity. The role of SIRT2 was confirmed using the selective inhibitor AK-7. Neural stem/progenitor cells (NSPCs) were used to further validate the impact of overexpressed SIRT2 and ODEXs on neurogenesis and synapse formation in vitro.

RESULTS

Oligodendrocyte-derived exosome treatment alleviated depressive-like behaviors and restored neurogenesis and synaptic plasticity in CUMS mice. SIRT2 was enriched in ODEXs, and blocking SIRT2 with AK-7 reversed the antidepressant effects of ODEXs. SIRT2 overexpression was sufficient to enhance neurogenesis and synaptic protein expression. Mechanistically, ODEXs mediated transcellular delivery of SIRT2, targeting AKT deacetylation and AKT/GSK-3β signaling to regulate neuroplasticity.

CONCLUSION

This study establishes how ODEXs improve depressive-like behaviors and hippocampal neuroplasticity and might provide a promising therapeutic approach for depression.

Gender differences in prevalence and associations between cognitive symptoms and suicidal ideation in patients with recurrent major depressive disorder: findings from the Chinese NSSD study

BACKGROUND

This study aimed to explore gender differences in associations between cognitive symptoms and suicidal ideation (SI) among patients with recurrent major depressive disorder (MDD).

METHODS

We recruited 1222 patients with recurrent MDD from the National Survey on Symptomatology of Depression (NSSD), a survey designed to investigate the symptoms experienced during current major depressive episodes in China. A four-point Likert questionnaire was used to assess the frequency of cognitive symptoms and SI in the past two weeks.

RESULTS

Gender differences in clinical features and cognitive symptoms of participants with recurrent MDD were found. Specifically, male patients had a higher prevalence of memory loss, decreased verbal output, indecisiveness, and impaired interpersonal relationships, while female patients exhibited a higher prevalence of impaired social and occupational functioning (all P < 0.05). No significant difference in SI prevalence was found between male and female patients. The logistic regression analysis revealed that in male patients, SI was associated with indecisiveness and impaired interpersonal relationships. In female patients, reduced verbal output and impaired social and professional functions were also associated with SI in addition to the above-mentioned variables.

CONCLUSION

The findings of gender differences in associations between cognitive symptoms and SI highlight the need to carefully assess gender-specific cognitive predictors of SI in patients with recurrent MDD. This has further implications for more targeted prevention and treatment strategies for SI based on gender.

Suicidality and its associated factors among mood disorder patients in emergency department in China: a comparative study using propensity score matching approach

Suicidality in mood disorder patients is common, especially in emergency department (ED), but the patterns and associated factors of suicidality are not clear. This study compared biomarkers and mental health symptoms (i.e., depression, anxiety, and psychiatric symptoms) between mood disorder patients with and without the whole range of suicidality comprising suicidal ideation (SI), suicide plan (SP), and suicide attempt (SA). This cross-sectional, comparative, convenient-sampling study was conducted between January 2021 and March 2022, in emergency department of Beijing Anding Hospital, China. Patients with mood disorders at a psychiatric emergency department were assessed, with measurements of suicidality, biomarkers, depressive, anxiety, and psychiatric symptoms were assessed using the 24 items-Hamilton Depression Rating Scale (HAMD-24), Hamilton Anxiety Rating Scale (HAMA), Young Manic Rating Scale (YMRS) and Brief Psychiatric Rating Scale (BPRS), respectively. The propensity score matching (PSM) method was used to identify patients in mood disorder with and without SI, SP, and SA. A generalized linear model (GLM) was used to assess the differences in biomarkers, depressive, anxiety, and psychiatric symptoms between patients in mood disorder with and without SI, SP, and SA. In total, 898 participated in this survey and completed the assessment. Illness duration was significantly negatively associated with SA (OR = 0.969, 95%CI = 0.939-0.999, P = 0.046). HAMD-24 total score was significantly positively associated with the SI (OR = 1.167, 95%CI = 1.134-1.201, p < 0.001), SP (OR = 1.159, 95%CI = 1.126-1.192, p < 0.001) and SA (OR = 1.189, 95%CI = 1.144-1.235, p < 0.001) of the matched samptched sample. However, YMRS total score was significantly negatively associated with the SI (OR = 0.928, 95%CI = 0.905-0.951, p < 0.001), SP (OR = 0.920, 95%CI = 0.897-0.944, p < 0.001) and SA (OR = 0.914, 95%CI = 0.890-0.938, p < 0.001) of the matched sample after adjusting for age, gender, marital status, and occupation. The duration of illness, severity of depressive symptoms and severity of manic symptoms appeared to be more likely to influence suicidality. Considering the significant risk of suicide in mood disorders on psychiatric emergency care, timely treatment and effective management of suicidality in this population group need to be developed.

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.

Family Functioning, Illness-Related Self-Regulation Processes, and Clinical Outcomes in Major Depression: A Prospective Study in Greece

Major depressive disorder (MDD) is a common, seriously impairing, and often recurrent mental disorder. Based on the predictions of the Circumplex Model of Marital and Family Systems and the Common-Sense Self-Regulation Model, the aim of the present prospective study is to examine the predictive value of clinical outcomes of a process model in which associations between perceived family functioning and patient's clinical outcomes (i.e., symptom severity and suicide risk) are mediated by illness representations and coping strategies. A total of 113 patients with a clinical diagnosis of MDD (16.8% males and 83.2% females) aged 47.25 ± 13.98 years and recruited from the outpatient department and the mobile mental health unit of the Psychiatric Clinic of the University Hospital of Heraklion in Crete, Greece, and from a Greek online depression peer-support group participated in the study. Family functioning was assessed in terms of cohesion and flexibility (Family Adaptability and Cohesion Evaluation Scales IV) at baseline. Illness representations (Illness Perception Questionnaire-Mental Health) and coping strategies (Brief Cope Orientation to Problems Experienced) were measured about five months later (5.04 ± 1.16 months). Symptom severity (Beck Depression Inventory) and suicidality (Risk Assessment Suicidality Scale) were measured about 10 months after the baseline assessment (9.56 ± 2.52 months). The results indicated that representations about MDD impact and symptom severity serially mediated the association between family cohesion and suicide risk in MDD. Furthermore, family cohesion was found to be linked with maladaptive coping through MDD impact representations. Family-based psychotherapeutic interventions specifically designed to target unhealthy family functioning, along with negative illness perceptions and dysfunctional coping, could be further developed and explored as adjunctive therapy to standard treatment in MDD.

Major depressive disorder with suicidal ideation or behavior in Chinese population: A scoping review of current evidence on disease assessment, burden, treatment and risk factors

BACKGROUND

Identifying and managing major depressive disorder (MDD) patients with suicidal ideation or behavior (MDSI) is critical for reducing the disease burden. This scoping review aims to map the existing evidence related to MDSI in the Chinese population.

METHOD

A scoping review was conducted to summarize the published evidence regarding epidemiology or disease burden, evaluation, diagnosis, management, and prognosis of MDSI. The search strategy imposed restriction on English or Chinese publications between 1 January 2011 and 28 February 2022.

RESULTS

Of the 14,005 identified records, 133 met the eligibility criteria and were included for analysis. The included studies were characterized as high heterogeneity in evaluation of suicidal ideation or behavior. Compared with MDD patients without suicidal ideation or behavior, MDSI patients were more likely to suffer from psychological and somatic symptoms, social function impairment, and lower quality of life. Younger age, female gender, longer disease course, and comorbid psychological or physical symptoms were consistently found to be risk factors of suicidal ideation or behavior. Relevant research gaps remain regarding comprehensive evaluation of standard clinical diagnosis, disease burden, social-cultural risk factors, and effectiveness of interventions targeting MDSI. Studies with large sample size, representative population are warranted to provide high-quality evidence.

CONCLUSIONS

MDD patients with suicidal ideation or behavior should be prioritized in treatment and resource allocation. Heterogeneity exists in the definition and evaluation of MDSI in different studies. To better inform clinical practice, it is imperative to establish a unified standard for evaluation and diagnosis of suicidal ideation or behavior among MDD population.

Implementing Digital Cognitive-Behavioral Therapy for Major Depressive Disorder in Routine Psychiatric Appointments: A Pilot Project in a Rural Population

Psychotherapy is well-established as an effective treatment for major depressive disorder (MDD). However, many individuals with MDD in rural areas of the United States do not have access to psychotherapy. Self-management (SM) strategies are now the standard of care for chronic medical conditions and may be a viable alternative for individuals without access to psychotherapy. The current article describes the implementation of a 13-week pilot project to integrate digital cognitive-behavioral therapy (dCBT) SM programs into routine psychiatric advanced practice nurse (APN) telehealth appointments in the rural United States. Eight participants completed the project. The project did not meet the benchmark of 20 participants to improve access to treatment; however, one half (n = 4) of participants reported clinically significant improvement in MDD symptoms over 6 weeks. For clients without access to psychotherapy, dCBT SM programs can be effective in improving individual client outcomes when implemented by APNs in routine telehealth appointments. [Journal of Psychosocial Nursing and Mental Health Services, 61(10), 44-51.].

Suicidality and mood disorders in psychiatric emergency patients: Results from SBQ-R

Patients with mood disorders are at high risk of suicidality, and emergency departments (ED) are essential in the management of this risk. This study aims to (1) describe the suicidal thoughts and behaviours of patients with mood disorders who come to ED; (2) assess the psychometric properties of the Suicidal Behaviours Questionnaire-Revised (SBQ-R) in a psychiatric ED; and (3) determine the best predictors of suicidality for these patients. A total of 300 participants with mood disorders recruited for the Signature Bank of the Institut universitaire en santé mentale de Montréal (IUSMM) were retained. Suicidality was assessed using the SBQ-R. Other clinical and demographic details were recorded. Bivariate analyses, correlations and multivariate regression analyses were conducted. SBQ-R's internal consistency, construct and convergent validities were also tested. In the Patient Health Questionnaire-9 (PHQ-9), 53.3% of the sample stated they had suicidal or self-harm thoughts in the last 2 weeks. The mean score obtained at the SBQ-R was 8.3. Multivariate analysis found that SBQ-R scores were associated with depressive symptoms and substance use, especially alcohol, accounting for 44.3% of the model variance. Cronbach's alpha was 0.81 [0.78, 0.84] and factor loadings for items 1-4 were 0.68, 0.88, 0.54, and 0.85, respectively. The confirmatory factor analysis indicated that the model fit the data well. The SBQ-R is a brief and valid instrument that can easily be used in busy emergency departments to assess suicide risk. Depressive symptoms and alcohol use shall also be assessed, as they are determinants of increased risk of suicidality.

Neuroendocrine Biomarkers of Herbal Medicine for Major Depressive Disorder: A Systematic Review and Meta-Analysis

Major depressive disorder (MDD) is a medical condition involving persistent sadness and loss of interest; however, conventional treatments with antidepressants and cognitive behavioral therapy have limitations. Based on the pathogenesis of MDD, treatments using herbal medicines (HM) have been identified in animal studies. We conducted a systematic review of clinical studies to identify neurobiological outcomes and evaluate the effectiveness of HM in treating MDD. A meta-analysis was performed by searching nine databases from their inception until 12 September 2022, including 31 randomized controlled trials with 3133 participants, to examine the effects of HM on MDD using neurobiological biomarkers and a depression questionnaire scale. Quality assessment was performed using a risk of bias tool. Compared to antidepressants alone, HM combined with an antidepressant significantly increased concentrations of serotonin (SMD = 1.96, 95% CI: 1.24-2.68, p < 0.00001, I2 = 97%), brain-derived neurotrophic factor (SMD = 1.38, 95% CI: 0.92-1.83, p < 0.00001, I2 = 91%), and nerve growth factors (SMD = 2.38, 95% CI: 0.67-4.10, p = 0.006, I2 = 96%), and decreased cortisol concentrations (SMD = -3.78, 95% CI: -4.71 to -2.86, p < 0.00001, I2 = 87%). Although HM or HM with an antidepressant benefits MDD treatment through improving neuroendocrine factors, these findings should be interpreted with caution because of the low methodological quality and clinical heterogeneity of the included studies.

Rasch analysis of the Chinese version of the clinically useful depression outcome scale in patients with major depressive disorder

OBJECTIVE

To examine the psychometric properties of the Chinese version of the Clinically Useful Depression Outcome Scale (CUDOS) in the Chinese patients with major depressive disorder (MDD) using Rasch analysis.

METHODS

The sample consisted of 283 patients with MDD (69% females). The Rasch model was applied to examine the overall fit of the Chinese version of CUDOS and the fit of the 18 items. Dimensionality, item-model fit, differential item functioning (DIF), reliability, ordering of response category and targeting were tested to examine the psychometric properties of the Chinese version of CUDOS.

RESULTS

Rasch analysis demonstrated the unidimensionality of the Chinese version of CUDOS. Of the 18 items, three items (item 4, item 5, item 6) showed misfit in the model. After merging item 4 into item 3 and item 6 into item 5, the overall model fit improved. The person separation index (PSI) was 3.0 and the person reliability coefficient was 0.90. No evidence of significant DIF was found when associated with gender and age. No disordered category and threshold of the rating response were observed, which meant the response category setting was reasonable. The mean ability of person was - 0.53.

CONCLUSION

The results suggested that the Chinese version of CUDOS has acceptable psychometric properties. In order to improve the quality and applicability of the Chinese version of CUDOS, the merging of item 4 into item 3 and item 6 into item 5 are suggested.

Differences in the prevalence and clinical correlates of comorbid suicide attempts in patients with early- and late-onset major depressive disorder

Objective

There are many studies on differences in the onset age of major depressive disorder (MDD) patients. However, study on differences in clinical correlates of suicide attempts between early- and late-onset MDD patients is limited. The aim of this study was to investigate the differences in the prevalence and clinical correlates of suicide attempts in patients with early- and late-onset MDD in China.

Methods

A total of 1718 adult outpatients with MDD were recruited. Demographic and clinical data were collected. The 17-item Hamilton Rating Scale for Depression (HAMD-17), Hamilton Anxiety Rating Scale (HAMA), Positive and Negative Syndrome Scale (PANSS) positive subscale, and Clinical Global Impression-Severity (CGI-S) Scales were used to assess their depressive, anxiety, psychotic symptoms, and the severity of the clinical symptoms, respectively.

Results

The prevalence of suicide attempts was higher in late-onset MDD patients (291/1369, 21.3%) than in early-onset MDD patients (55/349, 15.8%) (p = 0.023). However after Bonferroni correction no significant difference was found in the prevalence of suicide attempts in late-onset and late-onset MDD patients (p > 0.05). In both early- and late-onset groups, univariate analysis showed that the following characteristics were significantly associated with suicide attempts: HAMA, HAMD and PANSS positive subscale scores, thyroid stimulating hormone (TSH) levels, blood glucose levels, systolic blood pressure (SBP), and diastolic blood pressure (DBP). In both the early- and late-onset groups, the prevalence rates of severe anxiety disorder and psychotic symptoms were significantly higher in the suicide attempt group than in the non-suicide attempt group. In regression analysis, disease duration, TSH levels and HAMA score were independently associated with suicide attempts in the early-onset group, while TSH levels, HAMA and HAMD score were independently associated with suicide attempts in the late-onset group.

Conclusion

This study suggests that suicide attempts are not frequent in early-onset outpatients with MDD compared with late-onset, and some clinical correlates are associated with suicide attempt in early- and late-onset MDD.

Suicidal Ideations in Major Depressed Subjects: Role of the Temporal Dynamics of Anhedonia

Given the limited data available in the literature, the aim of this study was to investigate the potential role played by the temporal dynamics of anhedonia (lifelong anhedonia and recent changes in anhedonia) in the occurrence of suicidal ideations in major depressed subjects. The clinical data of 285 major depressed subjects recruited from the database of the Erasme Hospital Sleep Laboratory were analyzed. A score on item nine of the Beck Depression Inventory (BDI-II) ≥1 and/or an identification during the systematic psychiatric assessment were used to determine the presence of suicidal ideations. The association between anhedonia complaints (lifelong anhedonia and recent change in anhedonia) and suicidal ideations in major depressed subjects was assessed by logistic regression analyzes. The prevalence of suicidal ideations was 39.3% in our sample of major depressed subjects. After adjusting for the main confounding factors, multivariate logistic regression analysis demonstrated that unlike lifelong anhedonia, only recent changes in anhedonia were a risk factor for suicidal ideations in major depressed subjects. Given this potential involvement of the recent change in anhedonia in the occurrence of suicidal ideations in major depressed subjects, it seems essential to better identify and adequately manage this specific form of anhedonia in order to open new perspectives for the prevention of suicide in this particular sub-population.

Network analysis of comorbid depression, suicidality and biomarkers on HPA axis among mood disorder patients to psychiatric emergency services

Rapid assessment and intervention of suicide risk are common and challenging in psychiatric emergency departments (PED). It is unclear whether distinct pathophysiological processes exist among depressive patients with suicidality. This study examined the network structures of biomarkers on Hypothalamic-Pituitary-Adrenal (HPA) axis, such as Adrenocorticotropic hormone (ACTH) and Corticosterone (Cort), as well as suicidality and depressive symptoms in mood disorder patients in PED. Mood disorder patients in PED were assessed with the measurements of suicidality and depressive symptoms, respectively. A network analysis was performed to identify central symptoms and bridge symptoms of this network and their links to ACTH and Cort. Network stability was examined using the case-dropping procedure. The Network Comparison Test (NCT) was conducted to evaluate whether network characteristics differed by gender. A total of 1815 mood disorder patients were recruited. The prevalence of SI was 31.2% (95% CI: 28.15-34.21%), SP was 30.4% (95% CI: 27.39-33.41%), SA was 30.62% (95% CI: 27.61-33.64%) among psychiatric outpatients. The mean score of HAMD-24 was 13.87 ± 8.02. Network analysis revealed that 'Somatic anxiety' had the highest expected centrality, followed by 'Hopelessness' and 'Suicide attempt'. 'Corticosterone' and 'Retardation' may be the main bridge symptoms between depressive symptoms and the suicidality community. The network model showed a high degree of stability. Gender did not significantly influence the network structure. The central symptoms and key bridge symptoms identified could be potential targets for interventions of the HPA axis, which is designed for regular screening of a range of suicidal activity. In the light of this, timely treatment should be provided for psychiatric emergency care.

Correlates for the severity of suicidal risk in participants with common mental disorders with comorbid chronic medical conditions in rural primary healthcare settings in India

Context

Suicide is on the rise in low- and middle-income countries (LMICs), including India. There are limited studies assessing factors linked to the severity of suicidal risk in patients with depression and comorbid chronic medical disorders in primary healthcare (PHC) settings.

Aim

This study examines factors linked to suicidal risk among participants in a cluster randomized controlled trial of collaborative care intervention (Healthier Options through Empowerment (HOPE Study)).

Settings and Design

The setting was at 49 PHC in the rural Ramanagara District of Karnataka State in southern India. Study eligibility criteria included being ≥30 years with at least mild depression or generalized anxiety disorder and at least one medical condition (cardiovascular disorder or type 2 diabetes mellitus).

Methods and Material

The severity of suicidal risk at baseline was assessed using the Mini International Neuropsychiatric Interview (MINI), and other measures included the severity of depression (Patient Health Questionnaire-9-items (PHQ-9)), the severity of anxiety (Generalized Anxiety Disorder Scale-7-items (GAD-7)), disability, social support, quality of life, number of comorbid chronic medical illnesses, and body mass index (BMI).

Statistical Analysis Used

Chi-square tests and independent-samples t-tests were used to compare the demographic and clinical characteristics of the no-low and mod-high suicidal risk groups. Logistic regression analysis was used to identify correlates associated with the mod-high suicidal risk group.

Results

Mod-high suicidal risk was significantly positively associated with the severity of depression and disability and significantly negatively associated with social support.

Conclusion

The severity of depression, higher disability scores, and lower social support were found to be independent correlates of mod-high suicidal risk. Screening, managing depression, and facilitating social support for patients with chronic medical illness in PHC settings may reduce suicidal risk.