Genome-wide association analyses identify 95 risk loci and provide insights into the neurobiology of post-traumatic stress disorder

Post-traumatic stress disorder (PTSD) genetics are characterized by lower discoverability than most other psychiatric disorders. The contribution to biological understanding from previous genetic studies has thus been limited. We performed a multi-ancestry meta-analysis of genome-wide association studies across 1,222,882 individuals of European ancestry (137,136 cases) and 58,051 admixed individuals with African and Native American ancestry (13,624 cases). We identified 95 genome-wide significant loci (80 new). Convergent multi-omic approaches identified 43 potential causal genes, broadly classified as neurotransmitter and ion channel synaptic modulators (for example, GRIA1, GRM8 and CACNA1E), developmental, axon guidance and transcription factors (for example, FOXP2, EFNA5 and DCC), synaptic structure and function genes (for example, PCLO, NCAM1 and PDE4B) and endocrine or immune regulators (for example, ESR1, TRAF3 and TANK). Additional top genes influence stress, immune, fear and threat-related processes, previously hypothesized to underlie PTSD neurobiology. These findings strengthen our understanding of neurobiological systems relevant to PTSD pathophysiology, while also opening new areas for investigation.

Possible Role of Correlation Coefficients and Network Analysis of Multiple Intracellular Proteins in Blood Cells of Patients with Bipolar Disorder in Studying the Mechanism of Lithium Responsiveness: A Proof-Concept Study

Background: The mechanism of lithium treatment responsiveness in bipolar disorder (BD) remains unclear. The aim of this study was to explore the utility of correlation coefficients and protein-to-protein interaction (PPI) network analyses of intracellular proteins in monocytes and CD4+ lymphocytes of patients with BD in studying the potential mechanism of lithium treatment responsiveness. Methods: Patients with bipolar I or II disorder who were diagnosed with the MINI for DSM-5 and at any phase of the illness with at least mild symptom severity and received lithium (serum level ≥ 0.6 mEq/L) for 16 weeks were divided into two groups, responders (≥50% improvement in Montgomery-Asberg Depression Rating Scale and/or Young Mania Rating Scale scores from baseline) and non-responders. Twenty-eight intracellular proteins/analytes in CD4+ lymphocytes and monocytes were analyzed with a tyramine-based signal-amplified flow cytometry procedure. Correlation coefficients between analytes at baseline were estimated in both responders and non-responders and before and after lithium treatment in responders. PPI network, subnetwork, and pathway analyses were generated based on fold change/difference in studied proteins/analytes between responders and non-responders. Results: Of the 28 analytes from 12 lithium-responders and 11 lithium-non-responders, there were more significant correlations between analytes in responders than in non-responders at baseline. Of the nine lithium responders with pre- and post-lithium blood samples available, the correlations between most analytes were weakened after lithium treatment with cell-type specific patterns in CD4+ lymphocytes and monocytes. PPI network/subnetwork and pathway analyses showed that lithium response was involved in four pathways, including prolactin, leptin, neurotrophin, and brain-derived neurotrophic factor pathways. Glycogen synthase kinase 3 beta and nuclear factor NF-kappa-B p65 subunit genes were found in all four pathways. Conclusions: Using correlation coefficients, PPI network/subnetwork, and pathway analysis with multiple intracellular proteins appears to be a workable concept for studying the mechanism of lithium responsiveness in BD. Larger sample size studies are necessary to determine its utility.

Focal adhesion is associated with lithium response in bipolar disorder: evidence from a network-based multi-omics analysis

Lithium (Li) is one of the most effective drugs for treating bipolar disorder (BD), however, there is presently no way to predict response to guide treatment. The aim of this study is to identify functional genes and pathways that distinguish BD Li responders (LR) from BD Li non-responders (NR). An initial Pharmacogenomics of Bipolar Disorder study (PGBD) GWAS of lithium response did not provide any significant results. As a result, we then employed network-based integrative analysis of transcriptomic and genomic data. In transcriptomic study of iPSC-derived neurons, 41 significantly differentially expressed (DE) genes were identified in LR vs NR regardless of lithium exposure. In the PGBD, post-GWAS gene prioritization using the GWA-boosting (GWAB) approach identified 1119 candidate genes. Following DE-derived network propagation, there was a highly significant overlap of genes between the top 500- and top 2000-proximal gene networks and the GWAB gene list (Phypergeometric = 1.28E-09 and 4.10E-18, respectively). Functional enrichment analyses of the top 500 proximal network genes identified focal adhesion and the extracellular matrix (ECM) as the most significant functions. Our findings suggest that the difference between LR and NR was a much greater effect than that of lithium. The direct impact of dysregulation of focal adhesion on axon guidance and neuronal circuits could underpin mechanisms of response to lithium, as well as underlying BD. It also highlights the power of integrative multi-omics analysis of transcriptomic and genomic profiling to gain molecular insights into lithium response in BD.

Discovery of 95 PTSD loci provides insight into genetic architecture and neurobiology of trauma and stress-related disorders

Posttraumatic stress disorder (PTSD) genetics are characterized by lower discoverability than most other psychiatric disorders. The contribution to biological understanding from previous genetic studies has thus been limited. We performed a multi-ancestry meta-analysis of genome-wide association studies across 1,222,882 individuals of European ancestry (137,136 cases) and 58,051 admixed individuals with African and Native American ancestry (13,624 cases). We identified 95 genome-wide significant loci (80 novel). Convergent multi-omic approaches identified 43 potential causal genes, broadly classified as neurotransmitter and ion channel synaptic modulators (e.g., GRIA1, GRM8, CACNA1E ), developmental, axon guidance, and transcription factors (e.g., FOXP2, EFNA5, DCC ), synaptic structure and function genes (e.g., PCLO, NCAM1, PDE4B ), and endocrine or immune regulators (e.g., ESR1, TRAF3, TANK ). Additional top genes influence stress, immune, fear, and threat-related processes, previously hypothesized to underlie PTSD neurobiology. These findings strengthen our understanding of neurobiological systems relevant to PTSD pathophysiology, while also opening new areas for investigation.

Contributions of circadian clock genes to cell survival in fibroblast models of lithium-responsive bipolar disorder

Bipolar disorder (BD) is characterized by mood episodes, disrupted circadian rhythms and gray matter reduction in the brain. Lithium is an effective pharmacotherapy for BD, but not all patients respond to treatment. Lithium has neuroprotective properties and beneficial effects on circadian rhythms that may distinguish lithium responders (Li-R) from non-responders (Li-NR). The circadian clock regulates molecular pathways involved in apoptosis and cell survival, but how this overlap impacts BD and/or lithium responsiveness is unknown. In primary fibroblasts from Li-R/Li-NR BD patients and controls, we found patterns of co-expression among circadian clock and cell survival genes that distinguished BD vs. control, and Li-R vs. Li-NR cells. In cellular models of apoptosis using staurosporine (STS), lithium preferentially protected fibroblasts against apoptosis in BD vs. control samples, regardless of Li-R/Li-NR status. When examining the effects of lithium treatment of cells in vitro, caspase activation by lithium correlated with period alteration, but the relationship differed in control, Li-R and Li-NR samples. Knockdown of Per1 and Per3 in mouse fibroblasts altered caspase activity, cell death and circadian rhythms in an opposite manner. In BD cells, genetic variation in PER1 and PER3 predicted sensitivity to apoptosis in a manner consistent with knockdown studies. We conclude that distinct patterns of coordination between circadian clock and cell survival genes in BD may help predict lithium response.

Differences in intracellular protein levels in monocytes and CD4+ lymphocytes between bipolar depressed patients and healthy controls: A pilot study with tyramine-based signal-amplified flow cytometry

BACKGROUND

Molecular biomarkers for bipolar disorder (BD) that distinguish it from other manifestations of depressive symptoms remain unknown. The aim of this study was to determine if a very sensitive tyramine-based signal-amplification technology for flow cytometry (CellPrint™) could facilitate the identification of cell-specific analyte expression profiles of peripheral blood cells for bipolar depression (BPD) versus healthy controls (HCs).

METHODS

The diagnosis of psychiatric disorders was ascertained with Mini International Neuropsychiatric Interview for DSM-5. Expression levels for eighteen protein analytes previously shown to be related to bipolar disorder were assessed with CellPrint™ in CD4⁺ T cells and monocytes of bipolar patients and HCs. Implementation of protein-protein interaction (PPI) network and pathway analysis was subsequently used to identify new analytes and pathways for subsequent interrogations.

RESULTS

Fourteen drug-naïve or -free patients with bipolar I or II depression and 17 healthy controls (HCs) were enrolled. The most distinguishable changes in analyte expression based on t-tests included GSK3β, HMGB1, IRS2, phospho-GSK3αβ, phospho-RELA, and TSPO in CD4⁺ T cells and calmodulin, GSK3β, IRS2, and phospho-HS1 in monocytes. Subsequent PPI and pathway analysis indicated that prolactin, leptin, BDNF, and interleukin-3 signal pathways were significantly different between bipolar patients and HCs.

LIMITATION

The sample size of the study was small and 2 patients were on medications.

CONCLUSION

In this pilot study, CellPrint™ was able to detect differences in cell-specific protein levels between BPD patients and HCs. A subsequent study including samples from patients with BPD, major depressive disorder, and HCs is warranted.

Divergent Directionality of Immune Cell-Specific Protein Expression between Bipolar Lithium Responders and Non-Responders Revealed by Enhanced Flow Cytometry

Background and Objectives: There is no biomarker to predict lithium response. This study used CellPrint™ enhanced flow cytometry to study 28 proteins representing a spectrum of cellular pathways in monocytes and CD4⁺ lymphocytes before and after lithium treatment in patients with bipolar disorder (BD). Materials and Methods: Symptomatic patients with BD type I or II received lithium (serum level ≥ 0.6 mEq/L) for 16 weeks. Patients were assessed with standard rating scales and divided into two groups, responders (≥50% improvement from baseline) and non-responders. Twenty-eight intracellular proteins in CD4⁺ lymphocytes and monocytes were analyzed with CellPrint™, an enhanced flow cytometry procedure. Data were analyzed for differences in protein expression levels. Results: The intent-to-treat sample included 13 lithium-responders (12 blood samples before treatment and 9 after treatment) and 11 lithium-non-responders (11 blood samples before treatment and 4 after treatment). No significant differences in expression between the groups was observed prior to lithium treatment. After treatment, the majority of analytes increased expression in responders and decreased expression in non-responders. Significant increases were seen for PDEB4 and NR3C1 in responders. A significant decrease was seen for NR3C1 in non-responders. Conclusions: Lithium induced divergent directionality of protein expression depending on the whether the patient was a responder or non-responder, elucidating molecular characteristics of lithium responsiveness. A subsequent study with a larger sample size is warranted.

Lithium plus antipsychotics or anticonvulsants for bipolar disorder: Comparing clinical response and metabolic changes

OBJECTIVE

Patients with bipolar disorder treated with lithium often require additional antipsychotics or anticonvulsants. However, the comparative effectiveness and safety of these agents as add-on to lithium has not been studied.

METHODS

This secondary analysis combined two similar 24-week trials on outpatients with bipolar disorder randomized to lithium (target serum level 0.4-0.6 mEq/L). Guideline-based adjunctive antipsychotics (Li+AP) and anticonvulsants (Li+AC) could be used if clinically indicated and was assessed at every study visit. Response was measured on the Clinical Global Impression scale and we performed adjusted mixed effects linear regression analyses. Analysis of variance tests compared metabolic measures including a binary diagnosis of metabolic syndrome before and after 24 weeks of treatment.

RESULTS

Among 379 outpatients (57% female, mean age 38 years, mean Clinical Global Impression 4.4), users of Li+AP (N = 50, primarily quetiapine and aripiprazole) improved to a similar degree (mean Clinical Global Impression improvement = 1.6, standard deviation = 1.5) as those using lithium-only (i.e. without adjunctive antipsychotics or anticonvulsants, N = 149, mean Clinical Global Impression improvement = 1.7, standard deviation = 1.4) (p = 0.59). Users of Li+AC (N = 107, primarily lamotrigine and valproate, mean Clinical Global Impression improvement = 1.2, standard deviation = 1.3) and users of Li+AP+AC (N = 73, mean Clinical Global Impression improvement = 1.1, standard deviation = 1.3) showed worse response compared to lithium-only users (all p < 0.01). When comparing Li+AP to Li+AC, users of Li+AP improved slightly better on general (p = 0.05) and manic symptoms (p = 0.01), but showed a worse development of glucose, triglycerides, and metabolic syndrome.

CONCLUSION

Despite treatment-by-indication confounding, these findings are relevant for real-world treatment settings and emphasize the need for randomized trials on this clinically important topic.

Correction of depression-associated circadian rhythm abnormalities is associated with lithium response in bipolar disorder

BACKGROUND

Bipolar disorder (BD) is characterized by episodes of depression and mania and disrupted circadian rhythms. Lithium is an effective therapy for BD, but only 30%-40% of patients are fully responsive. Preclinical models show that lithium alters circadian rhythms. However, it is unknown if the circadian rhythm effects of lithium are essential to its therapeutic properties.

METHODS

In secondary analyses of a multi-center, prospective, trial of lithium for BD, we examined the relationship between circadian rhythms and therapeutic response to lithium. Using standardized instruments, we measured morningness, diurnal changes in mood, sleep, and energy (circadian rhythm disturbances) in a cross-sectional study of 386 BD subjects with varying lithium exposure histories. Next, we tracked symptoms of depression and mania prospectively over 12 weeks in a subset of 88 BD patients initiating treatment with lithium. Total, circadian, and affective mood symptoms were scored separately and analyzed.

RESULTS

Subjects with no prior lithium exposure had the most circadian disruption, while patients stable on lithium monotherapy had the least. Patients who were stable on lithium with another drug or unstable on lithium showed intermediate levels of disruption. Treatment with lithium for 12 weeks yielded significant reductions in total and affective depression symptoms. Lithium responders (Li-Rs) showed improvement in circadian symptoms of depression, but non-responders did not. There was no difference between Li-Rs and nonresponders in affective, circadian, or total symptoms of mania.

CONCLUSIONS

Exposure to lithium is associated with reduced circadian disruption. Lithium response at 12 weeks was selectively associated with the reduction of circadian depressive symptoms. We conclude that stabilization of circadian rhythms may be an important feature of lithium's therapeutic effects.

CLINICAL TRIALS REGISTRY

NCT0127253.

Childhood trauma and treatment outcomes during mood-stabilising treatment with lithium or quetiapine among outpatients with bipolar disorder

BACKGROUND

Childhood trauma affects the course of mood disorders. Researchers are now considering childhood trauma as an influential factor in the treatment of mood disorders. However, the role of childhood trauma in the treatment of bipolar disorder remains understudied.

METHODS

The effect of childhood trauma on treatment outcomes was evaluated among participants randomised to treatment with lithium or quetiapine in the Clinical and Health Outcomes Initiatives in Comparative Effectiveness for Bipolar Disorder (Bipolar CHOICE) study by clinician assessment. Mixed effects linear regression models were used to analyse rates of improvement in symptom severity (assessed with the Bipolar Inventory of Symptoms Scale and the Clinical Global Impression Scale for Bipolar Disorder) and functional impairment (assessed with the Longitudinal Interval Follow-up Evaluation-Range of Impaired Functioning Tool).

RESULTS

A history of any childhood trauma was reported by 52.7% of the sample (N = 476). Although participants with a history of any childhood trauma presented with greater symptom severity and functional impairment at most study visits, participants with and without a history of any childhood trauma showed similar rates of improvement in symptom severity and functional impairment over the 24 weeks of treatment.

CONCLUSION

This is the first study to explore the association between childhood trauma and treatment outcomes during treatment with lithium or quetiapine in the context of a randomised trial. In Bipolar CHOICE, a history of childhood trauma did not inhibit improvement in symptom severity or functional impairment. Nevertheless, these findings need replication across different settings.

Enhancing Discovery of Genetic Variants for Posttraumatic Stress Disorder Through Integration of Quantitative Phenotypes and Trauma Exposure Information

BACKGROUND

Posttraumatic stress disorder (PTSD) is heritable and a potential consequence of exposure to traumatic stress. Evidence suggests that a quantitative approach to PTSD phenotype measurement and incorporation of lifetime trauma exposure (LTE) information could enhance the discovery power of PTSD genome-wide association studies (GWASs).

METHODS

A GWAS on PTSD symptoms was performed in 51 cohorts followed by a fixed-effects meta-analysis (N = 182,199 European ancestry participants). A GWAS of LTE burden was performed in the UK Biobank cohort (N = 132,988). Genetic correlations were evaluated with linkage disequilibrium score regression. Multivariate analysis was performed using Multi-Trait Analysis of GWAS. Functional mapping and annotation of leading loci was performed with FUMA. Replication was evaluated using the Million Veteran Program GWAS of PTSD total symptoms.

RESULTS

GWASs of PTSD symptoms and LTE burden identified 5 and 6 independent genome-wide significant loci, respectively. There was a 72% genetic correlation between PTSD and LTE. PTSD and LTE showed largely similar patterns of genetic correlation with other traits, albeit with some distinctions. Adjusting PTSD for LTE reduced PTSD heritability by 31%. Multivariate analysis of PTSD and LTE increased the effective sample size of the PTSD GWAS by 20% and identified 4 additional loci. Four of these 9 PTSD loci were independently replicated in the Million Veteran Program.

CONCLUSIONS

Through using a quantitative trait measure of PTSD, we identified novel risk loci not previously identified using prior case-control analyses. PTSD and LTE have a high genetic overlap that can be leveraged to increase discovery power through multivariate methods.

Cardiometabolic risk markers during mood-stabilizing treatment: Correlation with drug-specific effects, depressive symptoms and treatment response

BACKGROUND

Patients with bipolar disorder have higher rates of cardiometabolic comorbidities and mortality. Although guidelines emphasize the importance of cardiovascular monitoring, few studies characterized the cardiometabolic risk profile during treatment and their relation to symptomatology and treatment response.

METHODS

We analyzed data from two similar 24-weeks comparative effectiveness trials, with a combined sample of 770 participants randomized to two different lithium doses, quetiapine (300 mg/day), or standard treatment without lithium. Glucose, lipids and vital signs were measured before and after 24 weeks of treatment. We calculated several cardiovascular risk scores, assessed baseline correlations and compared the four treatment arms via multiple linear regression models.

RESULTS

Higher cholesterol and LDL levels were associated with greater depression severity, showing differential correlations to specific symptoms, particularly agitation, low energy and suicidality. Those randomized to quetiapine showed a significant worsening of cardiometabolic markers during the 24-week trial. Neither baseline nor change in lipid levels correlated with differential treatment response.

LIMITATIONS

Study duration was short from the perspective of cardiometabolic risk markers, and all treatment arms included patients taking adjunct antipsychotics. The trials compared quetiapine to lithium, but not to other medications known to affect similar risk factors.

CONCLUSIONS

Treatment with 300 mg/day quetiapine for 24 weeks, representing a short and common dose course, resulted in increased cardiometabolic risk markers, emphasizing the importance of monitoring during mood-stabilizing treatment. The symptom-specific associations are in line with previous studies in unipolar depression, suggesting a cardiometabolic-depression link that needs to be further studied in bipolar depression.

Protein Biomarkers in Monocytes and CD4+ Lymphocytes for Predicting Lithium Treatment Response of Bipolar Disorder: a Feasibility Study with Tyramine-Based Signal-Amplified Flow Cytometry

Purpose

To determine if enhanced flow cytometry (CellPrint™) can identify intracellular proteins of lithium responsiveness in monocytes and CD4⁺ lymphocytes from patients with bipolar disorder.

Methods

Eligible bipolar I or II patients were openly treated with lithium for 16-weeks. Baseline levels of Bcl2, BDNF, calmodulin, Fyn, phospho-Fyn/phospho-Yes, GSK3β, phospho-GSK3αβ, HMGB1, iNOS, IRS2, mTor, NLPR3, PGM1, PKA C-α, PPAR-γ, phospho-RelA, and TPH1 in monocytes and CD4⁺ lymphocytes of lithium responders and non-responders were measured with CellPrint™. Their utility of discriminating responders from non-responders was explored. Protein-protein network and pathway enrichment analyses were conducted.

Results

Of the 24 intent-to-treat patients, 12 patients completed the 16-week study. Eleven of 13 responders and 8 of 11 non-responders were available for this analysis. The levels of the majority of analytes in lithium responders were lower than non-responders in both cell types, but only the level of GSK3β in monocytes was significantly different (p = 0.034). The combination of GSK3β and phospho-GSK3αβ levels in monocytes correctly classified 11/11 responders and 5/8 non-responders. Combination of GSK3β, phospho-RelA, TPH1 and PGM1 correctly classified 10/11 responders and 6/7 non-responders, both with a likelihood of ≥ 85%. Prolactin, leptin, BDNF, neurotrophin, and epidermal growth factor/epidermal growth factor receptor signaling pathways are involved in the lithium treatment response. GSK3β and RelA genes are involved in 4 of 5 these pathways.

Conclusion

CellPrint™ flow cytometry was able to detect differences in multiple proteins in monocytes and CD4⁺ lymphocytes between lithium responders and non-responders. A large study is warranted to confirm or refute these findings.

Cingulum bundle connectivity in treatment-refractory compared to treatment-responsive patients with bipolar disorder and healthy controls: a tractography and surgical targeting analysis

OBJECTIVE

The clinical response of patients with bipolar disorder to medical treatment is variable. A better understanding of the underlying neural circuitry involved in bipolar treatment responsivity subtypes may provide insight into treatment resistance and aid in identifying an effective surgical target for deep brain stimulation (DBS) specific to the disorder. Despite considerable imaging research related to the disease, a paucity of comparative imaging analyses of treatment responsiveness exists. There are also no DBS targets designed expressly for patients with bipolar disorder. Therefore, the authors analyzed cingulum bundle axonal connectivity in relation to cortico-striatal-thalamo-cortical (CSTC) loops implicated in bipolar disorder across subjects who are responsive to treatment (RSP) and those who are refractory to therapy (REF), compared to healthy controls (HCs).

METHODS

Twenty-five subjects with bipolar disorder (13 RSP and 12 REF), diagnosed using the Mini International Neuropsychiatric Interview and classified with standardized rating scales, and 14 HCs underwent MRI with diffusion sequences for probabilistic diffusion-weighted tractography analysis. Image processing and tractography were performed using MRTrix. Region of interest (ROI) masks were created manually for 10 anterior cingulum bundle subregions, including surgical targets previously evaluated for the treatment of bipolar disorder (cingulotomy and subgenual cingulate DBS targets). Cortical and subcortical ROIs of brain areas thought to be associated with bipolar disorder and described in animal tract-tracing models were created via FreeSurfer. The number of axonal projections from the cingulum bundle subregion ROIs to cortical/subcortical ROIs for each group was compared.

RESULTS

Significant differences were found across groups involving cingulum bundle and CSTC loops. Subjects in the RSP group had increased connections from rostral cingulum bundle to medial orbitofrontal cortex, which is part of the limbic CSTC loop, whereas subjects in the REF group had increased connectivity from rostral cingulum bundle to thalamus. Additionally, compared to HCs, both RSP and REF subjects had decreased cingulum bundle dorsal connectivity (dorsal anterior/posterior cingulate, dorsomedial/lateral frontal cortex) and increased cingulum bundle ventral connectivity (subgenual cingulate, frontal pole, lateral orbitofrontal cortex) involving limbic and associative CSTC loops.

CONCLUSIONS

Findings demonstrate that bipolar treatment responsivity may be associated with significant differences in cingulum bundle connectivity in relation to CSTC loops, which may help identify a surgical target for bipolar disorder treatment via DBS in the future.

Efficacy and Safety of Lumateperone for Major Depressive Episodes Associated With Bipolar I or Bipolar II Disorder: A Phase 3 Randomized Placebo-Controlled Trial

OBJECTIVE

In a phase 3 randomized double-blind placebo-controlled study, the authors investigated the efficacy and safety of 42 mg/day of lumateperone in patients with bipolar I or bipolar II disorder experiencing a major depressive episode.

METHODS

Patients 18-75 years old with a clinical diagnosis of bipolar I or bipolar II disorder and experiencing a major depressive episode were eligible for the study. Patients were randomized in a 1:1 ratio to receive 42 mg/day of lumateperone (N=188) or placebo (N=189), administered orally once daily in the evening for 6 weeks. The primary and key secondary efficacy endpoints were change from baseline to day 43 in score on the Montgomery-Åsberg Depression Rating Scale (MADRS) and total score on the Clinical Global Impressions Scale-Bipolar Version severity scale (CGI-BP-S), respectively. Safety assessments included treatment-emergent adverse events, laboratory parameters, vital signs, extrapyramidal symptoms, and suicidality.

RESULTS

At day 43, lumateperone treatment was associated with significantly greater improvement from baseline in MADRS score compared with placebo (least squares mean difference compared with placebo, -4.6 points; effect size=-0.56) and CGI-BP-S total score (least squares mean difference compared with placebo, -0.9; effect size=-0.46). Significant MADRS superiority for lumateperone over placebo was observed both in patients with bipolar I and bipolar II disorders. Somnolence and nausea were the only treatment-emergent adverse events that occurred with lumateperone at a clinically meaningful greater rate than placebo. The incidence of extrapyramidal symptom-related treatment-emergent adverse events was low and similar to that for placebo. Minimal changes were observed in weight, vital signs, or metabolic or endocrine assessments.

CONCLUSIONS

Lumateperone at 42 mg/day significantly improved depression symptoms and was generally well tolerated in patients with major depressive episodes associated with both bipolar I and bipolar II disorders.

Clinical predictors of non-response to lithium treatment in the Pharmacogenomics of Bipolar Disorder (PGBD) study

BACKGROUND

Lithium is regarded as a first-line treatment for bipolar disorder (BD), but partial response and non-response commonly occurs. There exists a need to identify lithium non-responders prior to initiating treatment. The Pharmacogenomics of Bipolar Disorder (PGBD) Study was designed to identify predictors of lithium response.

METHODS

The PGBD Study was an eleven site prospective trial of lithium treatment in bipolar I disorder. Subjects were stabilized on lithium monotherapy over 4 months and gradually discontinued from all other psychotropic medications. After ensuring a sustained clinical remission (defined by a score of ≤3 on the CGI for 4 weeks) had been achieved, subjects were followed for up to 2 years to monitor clinical response. Cox proportional hazard models were used to examine the relationship between clinical measures and time until failure to remit or relapse.

RESULTS

A total of 345 individuals were enrolled into the study and included in the analysis. Of these, 101 subjects failed to remit or relapsed, 88 achieved remission and continued to study completion, and 156 were terminated from the study for other reasons. Significant clinical predictors of treatment failure (p < 0.05) included baseline anxiety symptoms, functional impairments, negative life events and lifetime clinical features such as a history of migraine, suicidal ideation/attempts, and mixed episodes, as well as a chronic course of illness.

CONCLUSIONS

In this PGBD Study of lithium response, several clinical features were found to be associated with failure to respond to lithium. Future validation is needed to confirm these clinical predictors of treatment failure and their use clinically to distinguish who will do well on lithium before starting pharmacotherapy.

Cohort profile: the Ohio Army National Guard Mental Health Initiative (OHARNG-MHI)

PURPOSE

Rates of mental disorders in the United States military have increased in recent years. National Guard members may be particularly at risk for mental disorders, given their dual role as citizen-soldiers and their increased involvement in combat deployments during recent conflicts. The Ohio Army National Guard Mental Health Initiative (OHARNG-MHI) was launched to assess the prevalence, incidence, and potential causes and consequences of mental disorders in this unique population.

METHODS

OHARNG-MHI is a decade-long dynamic cohort study that followed over 3,000 National Guard members yearly through structured telephone interviews.

RESULTS

Findings thus far have applied a pre-, peri-, post-deployment framework, identifying factors throughout the life course associated with mental disorders, including childhood events and more recent events, both during and outside of deployment. An estimated 61% of participants had at least one mental disorder in their lifetime, the majority of which initiated prior to military service. Psychiatric comorbidity was common, as were alcohol use and stressful events. Latent class growth analyses revealed four distinct trajectory paths of both posttraumatic stress and depression symptoms across four years. Only 37% of soldiers with probable past-year mental disorders accessed mental health services in the subsequent year, with substance use disorders least likely to be treated.

CONCLUSION

Strengths of this study include a large number of follow-up interviews, detailed data on both military and non-military experiences, and a clinical assessment subsample that assessed the validity of the telephone screening instruments. Findings, methods, and procedures of the study are discussed, and collaborations are welcome.

Response and remission rates during 24 weeks of mood-stabilizing treatment for bipolar depression depending on early non-response

BACKGROUND

We aimed to study the probability of bipolar depression response at 24 weeks given initial non-response.

METHODS

We combined two multi-site, 24-week trials including similar populations following the same evidence-based guidelines randomizing patients to lithium or quetiapine. Additional mood-stabilizing treatment was possible if clinically indicated. We report cumulative proportions of response (>50% improvement in MADRS) and remission (MADRS<10).

RESULTS

We included 592 participants with bipolar depression (mean 39 years, 59% female, mean MADRS 25). Among 393 (66%) participants without response after 2 weeks, 46% responded by 24 weeks; for 291 (49%) without response at 4 weeks, 40% responded and 33% remitted by 24 weeks; for 222 (38%) without a response at 6 weeks, 36% responded and 29% remitted by 24 weeks; for 185 (31%) without a response at 8 weeks, 29% responded and 24% remitted by 24 weeks. Rates were similar for participants who had started an additional mood-stabilizing drug during the first 6 or 8 weeks.

CONCLUSIONS

Among patients with bipolar depression and non-response after 6 weeks treatment, representing an adequate bipolar depression trial, only one-third responded by 24 weeks. These results highlight the need for better treatment alternatives for non-responders to evidence-based treatments for bipolar depression.

The efficacy of cariprazine on function in patients with bipolar depression: a post hoc analysis of a randomized controlled trial

INTRODUCTION

Individuals with bipolar depression often experience functional impairment that interferes with recovery. These analyses examined the effects of cariprazine on functional outcomes in patients with bipolar I disorder.

METHODS

Prespecified analyses of data from a randomized, double-blind, placebo-controlled pivotal trial of cariprazine in bipolar I depression (NCT01396447) evaluated mean changes from baseline to week 8 in Functional Assessment Short Test (FAST) total score. Post hoc analyses with no adjustment for multiplicity evaluated FAST subscale scores, functional recovery and remission (FAST total score ≤11 and ≤20, respectively), and 30% or 50% improvement from baseline.

RESULTS

There were 393 patients with bipolar I disorder (placebo = 132; cariprazine: 1.5 mg/d = 135, 3 mg/d = 126) in the FAST analysis population. Statistically significant differences were noted for cariprazine 1.5 mg/d versus placebo in mean change from baseline in FAST total score (p<.01) and on 5 of 6 subscale scores (p<.05); cariprazine 3 mg/d was significantly different than placebo on the Interpersonal Relationship subscale (p<.05). Rates of functional remission and recovery, and ≥30% or ≥50% improvement were significantly greater for cariprazine 1.5 mg/d versus placebo (p<.05 all); the percentage of patients with ≥30% improvement was significantly different for cariprazine 3 mg/d versus placebo (p<.05).

CONCLUSION

At week 8, statistically significant improvements in FAST outcomes were observed for cariprazine versus placebo in patients with bipolar I depression; more consistent results were noted for 1.5 mg/d than 3 mg/d. In addition to improving bipolar depression symptoms, these results suggest that cariprazine may improve functional outcomes.

Development of a Patient-Centered Software System to Facilitate Effective Management of Bipolar Disorder

OBJECTIVE

Self-management of bipolar disorder (BD) is an important component of treatment.

METHODS

We developed a patient-centered computational software system based on concepts from nonlinear systems (chaos) theory with mobile access to assist in managing BD known as KIOS. KIOS tracks interacting symptoms to determine theprecise state of a BD patient. Once the patient's state is identified and the trajectory of the patient established, specific advice is generated to help manage the course of the disease. KIOS also provides analytics that can be used by clinicians and researchers to track outcomes and the course of illness. A 12-week field test was completed.

RESULTS

In 20 BD subjects, use of KIOS was associated with improvements in primary symptom categories of BD. Usability and generated advice were rated as a median of 6 out of a maximum of 7.

CONCLUSIONS

The KIOS focus on change illuminates problems in the same way that humans experience them, implying that the future state will be consequent to changes made to impact the current state. Randomized clinical trial is indicated.

A Machine Learning Approach to Predicting New-onset Depression in a Military Population

OBJECTIVE

Depression is one of the most common mental disorders in the United States in both civilian and military populations, but few prospective studies assess a wide range of predictors across multiple domains for new-onset (incident) depression in adulthood. Supervised machine learning methods can identify predictors of incident depression out of many different candidate variables, without some of the assumptions and constraints that underlie traditional regression analyses. The objectives of this study were to identify predictors of incident depression across 5 years of follow-up using machine learning, and to assess prediction accuracy of the algorithms.

METHODS

Data were from a cohort of Army National Guard members free of history of depression at baseline (n = 1951 men and 298 women), interviewed once per year for probable depression. Classification trees and random forests were constructed and cross-validated, using 84 candidate predictors from the baseline interviews.

RESULTS

Stressors and traumas such as emotional mistreatment and adverse childhood experiences, demographics such as being a parent or student, and military characteristics including paygrade and deployment location were predictive of probable depression. Cross-validated random forest algorithms were moderately accurate (68% for women and 73% for men).

CONCLUSIONS

Events and characteristics throughout the life course, both in and outside of deployment, predict incident depression in adulthood among military personnel. Although replication studies are needed, these results may help inform potential intervention targets to reduce depression incidence among military personnel. Future research should further refine and explore interactions between identified variables.

Adjunctive antidepressant treatment among 763 outpatients with bipolar disorder: Findings from the Bipolar CHOICE and LiTMUS trials

BACKGROUND

Adjunctive antidepressants are frequently used for bipolar depression but their clinical efficacy has been studied in few trials and little is known about how co-occurring manic symptoms affect treatment response.

METHODS

Bipolar Clinical Health Outcomes Initiative in Comparative Effectiveness (N = 482) and Lithium Treatment Moderate-Dose Use Study (N = 281) were similar comparative effectiveness trials on outpatients with bipolar disorder comparing four different randomized treatment arms with adjunctive personalized guideline-based treatment for 24 weeks. Adjunctive antidepressant treatment could be used if clinically indicated and was assessed at every study visit. Adjusted mixed effects linear regression analyses compared users of antidepressants to nonusers overall and in different subcohorts.

RESULTS

Of the 763 patients, 282 (37.0%) used antidepressant drugs during the study. Antidepressant users had less improvement compared to nonusers on the Clinical Global Impression Scale for Bipolar Disorder and on measures of depression. This was particularly true among patients with co-occurring manic symptoms. Exclusion of individuals begun on antidepressants late in the study (potentially due to overall worse response) resulted in no differences between users and nonusers. We found no differences in treatment effects on mania scales.

CONCLUSIONS

In this large cohort of outpatients with bipolar disorder, clinically indicated and guideline-based adjunctive antidepressant treatment was not associated with lower depressive symptoms or higher mania symptoms. The treatment-by-indication confounding due to the nonrandomized design of the trials complicates causal interpretations, but no analyses indicated better treatment effects of adjunctive antidepressants.

Major depressive disorder with mixed features and treatment response to lurasidone: A symptom network model

BACKGROUND

To investigate the symptom network structure of major depressive disorder (MDD) with mixed features and implications for treatment.

METHODS

In this post-hoc analysis of a previously reported randomized trial, patients meeting DSM-IV-TR criteria for MDD presenting with two or three manic symptoms (DSM-5 mixed features specifier) were randomized to 6 weeks of double-blind treatment with lurasidone 20-60 mg/d (N = 109) or placebo (N = 100). The network structure of symptoms at baseline and their treatment moderating effects were investigated.

RESULTS

Network analyses showed that both ``elevated mood'' (YMRS item 1) and ``increased motor activity-energy'' (YMRS item 2) were associated with ``sleep disturbance'' ("bridge" symptom) and the depressive symptom cluster. Presence of both "elevated mood" and "increased motor activity-energy" at baseline predicted significantly less improvement in MADRS and CGI-S score at week 6 with lurasidone (vs. placebo) compared to patients without these manic symptoms at baseline. The network model also showed "rapid/pressured speech" (YMRS item 6) at baseline predicted improvement in both manic and depressive symptoms with lurasidone vs. placebo treatment.

LIMITATIONS

This was a post-hoc analysis where findings need to be confirmed by prospective controlled studies.

CONCLUSIONS

This post-hoc analysis describes the symptom network structure of MDD with mixed features in a patient sample at study baseline. Specific manic symptoms were found to be linked to sleep disturbance (characterized as a "bridge" symptom), which in turn linked the manic and depressive symptom clusters. The presence (vs. absence) of the specific manic symptoms we identified moderated the antidepressant and antimanic effects of lurasidone in the treatment of MDD with mixed (subthreshold hypomanic) features.

Clinical Evaluation of Cingulum Bundle Connectivity for Neurosurgical Hypothesis Development

BACKGROUND

The cingulum bundle (CB) has long been a target for psychiatric neurosurgical procedures, but with limited understanding of the brain networks being impacted. Recent advances in human tractography could provide a foundation to better understand the effects of neurosurgical interventions on the CB; however, the reliability of tractography remains in question.

OBJECTIVE

To evaluate the ability of different tractography techniques, derived from typical, human diffusion-weighted imaging (DWI) data, to characterize CB connectivity described in animal models. This will help validate the clinical applicability of tractography, and generate insight on current and future neurosurgical targets for psychiatric disorders.

METHODS

Connectivity of the CB in 15 healthy human subjects was evaluated using DWI-based tractography, and compared to tract-tracing findings from nonhuman primates. Brain regions of interest were defined to coincide with the animal model. Tractography was performed using 3 techniques (FSL probabilistic, Camino probabilistic, and Camino deterministic). Differences in connectivity were assessed, and the CB segment with the greatest connectivity was determined.

RESULTS

Each tractography technique successfully reproduced the animal tracing model with a mean accuracy of 72% (68-75%, P < .05). Additionally, one region of the CB, the rostral dorsal segment, had significantly greater connectivity to associated brain structures than all other CB segments (P < .05).

CONCLUSION

Noninvasive, in vivo human analysis of the CB, using clinically available DWI for tractography, consistently reproduced the results of an animal tract-tracing model. This suggests that tractography of the CB can be used for clinical applications, which may aid in neurosurgical targeting for psychiatric disorders.

The association between lithium use and neurocognitive performance in patients with bipolar disorder

Lithium remains the gold standard for the treatment of bipolar disorder (BD); however, its use has declined over the years mainly due to the side effects and the subjective experience of cognitive numbness reported by patients. In the present study, we aim to methodically test the effects of lithium on neurocognitive functioning in the largest single cohort (n = 262) of BD patients reported to date by harnessing the power of a multi-site, ongoing clinical trial of lithium monotherapy. At the cross-sectional level, multivariate analysis of covariance (MANCOVA) was conducted to examine potential group differences across neurocognitive tests [California Verbal Learning Test (CVLT trials 1-5,CVLT delayed recall), Wechsler Digit Symbol, Trail-making Test parts A and B (TMT-A; TMT-B), and a global cognition index]. At the longitudinal level, on a subset of patients (n = 88) who achieved mood stabilization with lithium monotherapy, we explored the effect of lithium treatment across time on neurocognitive functioning. There were no differences at baseline between BD patients that were taking lithium compared with those that were not. At follow-up a significant neurocognitive improvement in the global cognitive index score [F = 31.69; p < 0.001], CVLT trials 1-5 [F = 29.81; p < 0.001], CVLT delayed recall [F = 15.27; p < 0.001], and TMT-B [F = 6.64, p = 0.012] was detected. The cross-sectional and longitudinal (on a subset of 88 patients) investigations suggest that lithium may be beneficial to neurocognitive functioning in patients with BD and that at the very least it does not seem to significantly impair cognition when used therapeutically.

Direct incremental healthcare costs associated with mood disorders in the United States, 2007-2017

BACKGROUND

This study provides nationally representative estimates of the direct incremental economic burden of mood disorders in the United States between 2007-2017, and examines trends in spending on mood disorders by healthcare setting over time.

METHODS

The Medical Expenditure Panel Survey (MEPS) was used to analyze nationally-representative data related to healthcare expenditures between 2007-2017. A two-part regression model was used to estimate healthcare expenditures for patients with mood disorders compared to those without, adjusting for several sociodemographic and health-related factors.

RESULTS

Total annual healthcare costs for patients with mood disorders were over twice as high as for those without, even after adjusting for potential confounders. A mood disorder diagnosis independently accounted for $6,591.60 in additional annual healthcare spending over this period. While healthcare spending on mood disorders increased significantly in the outpatient setting (14%), home health setting (84%), and on prescription medications (17%), it decreased in the inpatient setting and remained stable for emergency care.

LIMITATIONS

Study limitations include an inability to determine specific components of cost in each setting, analyze costs for distinct depressive and bipolar disorders by four- or five-digit diagnosis code, and the potential for recall bias during data collection.

CONCLUSIONS

Spending on outpatient care, prescription medications, and home health care for mood disorder patients grew significantly between 2007 and 2017, but decreased for inpatient care and remained stable in the emergency care setting. Future research should examine drivers of spending in these settings and explore ways to improve patient outcomes and stabilize growing healthcare expenditures.

Familial severe psychiatric history in bipolar disorder and correlation with disease severity and treatment response

BACKGROUND

Bipolar disorder is a heritable disorder, and we aimed to assess the impact of family history of mental disorders in first-degree relatives on the severity and course of bipolar disorder.

METHODS

The Bipolar CHOICE (lithium versus quetiapine) and LiTMUS (optimized treatment with versus without lithium) comparative effectiveness studies were similar trials among bipolar disorder outpatients studying four different randomized treatment arms for 24 weeks. Patients self-reported on six severe mental disorders among first-degree relatives. We performed ANOVA and linear regression regarding disease severity measures, sociodemographic and cardiometabolic markers and mixed effects linear regression to evaluate treatment response.

RESULTS

Among 757 patients, 644 (85.1%) reported at least one first-degree relative with a severe mental disorder (mean=2.8; standard deviation=2.2; range=0-13). Depression (67.1%), alcohol abuse (51.0%) and bipolar disorder (47.0%) were the most frequently reported disorders. Familial psychiatric history correlated with several disease severity measures (hospitalizations, suicide attempts, and earlier onset) and sociodemographic markers (lower education and household income) but not with cardiometabolic markers (e.g. cholesterol or waist circumference) or cardiovascular risk scores, e.g. the Framingham risk score. Patients with familial psychiatric history tended to require more psychopharmacological treatment (p=0.054) but responded similarly (all p>0.1) to all four treatment arms.

CONCLUSIONS

Our findings indicate that familial psychiatric history is common among outpatients with bipolar disorder and correlates with disease severity and sociodemographic measures. Patients with a greater familial psychiatric load required more intense treatment but achieved similar treatment responses compared to patients without familial psychiatric history.

Efficacy and safety of cariprazine in bipolar I depression: A double-blind, placebo-controlled phase 3 study

OBJECTIVE

To assess the efficacy, safety, and tolerability of cariprazine in the treatment of the depressed phase of bipolar I disorder in adults (NCT02670538).

METHODS

In this phase 3 double-blind placebo-controlled study, adult patients with bipolar I disorder according to the Diagnostic and Statistical Manual - 5th Edition criteria and a current depressive episode were randomized to placebo (n = 167), cariprazine 1.5 mg/day (n = 168) or cariprazine 3.0 mg/day (n = 158). Efficacy parameters were changes in the Montgomery-Åsberg Depression Rating Scale (MADRS) total scores (primary) and Clinical Global Impressions - Severity (CGI-S) scores (secondary) from baseline to Week 6 compared to placebo. A mixed-model for repeated measures was used to estimate the least-squares mean differences (LSMD); P-values were adjusted for multiplicity. Adverse events (AEs), laboratory results, vital signs, and suicide risk were monitored.

RESULTS

Cariprazine 1.5 mg/day significantly reduced depressive symptoms on the primary (MADRS LSMD = -2.5; adjusted P = .0417) and secondary (CGI-S LSMD = -0.3; adjusted P = .0417) efficacy parameters vs placebo; differences were not statistically significant for cariprazine 3.0 mg/day. Common treatment-emergent AEs (≥5% in either cariprazine group and at least twice the incidence of placebo) were akathisia, restlessness, nausea, and fatigue. Mean metabolic parameter changes were low and generally comparable among groups; mean weight increases were ≤0.5 kg for all groups.

CONCLUSIONS

Cariprazine 1.5 mg/day significantly reduced depressive symptoms in adults with bipolar I depression compared to placebo, but differences were not significant for cariprazine 3.0 mg/day. The safety and tolerability profiles were similar to previous studies of cariprazine.

Sequential Multiple Assignment Randomized Treatment (SMART) for Bipolar Disorder at Any Phase of Illness and at least Mild Symptom Severity

OBJECTIVES

To sequentially study the effectiveness of lithium and divalproex monotherapy and adjunctive therapy with quetiapine or lamotrigine in the acute and continuation treatment of bipolar I or II disorder at any phase of illness and at least mild symptom severity.

METHODS

From June 2011 to December 2016, patients with bipolar I or II disorder (using DSM-IV diagnostic criteria) and CGI-S (Clinical Global Impression-Severity) ⩾ 3 were randomized to receive lithium or divalproex monotherapy for 2 weeks. Patients who had CGI-S-depression ⩾ 3 for 2 weeks at any time after 2-week monotherapy were randomly assigned to receive quetiapine or lamotrigine, or remaining on monotherapy for a total of 26 weeks.

RESULTS

The rates of early termination due to lack of efficacy and side effects and changes in BISS (Bipolar Inventory of Symptoms Scale) and CGI-S total score were not significantly different between lithium and divalproex. The completion rate was significantly higher with adjunctive therapy than with monotherapy. BISS and CGI-S total scores, and their sub-scores were significantly reduced with adjunctive therapy compared to monotherapy. Adjunctive therapy significantly increased survival times compared to monotherapy (hazard ratio = 6.8), and the monotherapy group had a significantly increased risk for not reaching sustained recovery from depression (hazard ratio = 12.7). Patients who did not need the 2nd randomization and remained on monotherapy had a significantly reduced hazard for discontinuation (hazard ratio = 3.8).

CONCLUSIONS

The efficacy of lithium and divalproex as monotherapy was modest. Adjunctive lamotrigine and quetiapine to either one was well-tolerated and equally effective in reducing bipolar symptomatology, but adjunctive therapy should be initiated as early as possible when depression symptoms are present.

A randomized proof-of-mechanism trial applying the 'fast-fail' approach to evaluating κ-opioid antagonism as a treatment for anhedonia

The National Institute of Mental Health (NIMH) 'fast-fail' approach seeks to improve too-often-misleading early-phase drug development methods by incorporating biomarker-based proof-of-mechanism (POM) testing in phase 2a. This first comprehensive application of the fast-fail approach evaluated the potential of κ-opioid receptor (KOR) antagonism for treating anhedonia with a POM study determining whether robust target engagement favorably impacts the brain circuitry hypothesized to mediate clinical effects. Here we report the results from a multicenter, 8-week, double-blind, placebo-controlled, randomized trial in patients with anhedonia and a mood or anxiety disorder (selective KOR antagonist (JNJ-67953964, 10 mg; n = 45) and placebo (n = 44)). JNJ-67953964 significantly increased functional magnetic resonance imaging (fMRI) ventral striatum activation during reward anticipation (primary outcome) as compared to placebo (baseline-adjusted mean: JNJ-67953964, 0.72 (s.d. = 0.67); placebo, 0.33 (s.d. = 0.68); F(1,86) = 5.58, P < 0.01; effect size = 0.58 (95% confidence interval, 0.13-0.99)). JNJ-67953964, generally well tolerated, was not associated with any serious adverse events. This study supports proceeding with assessment of the clinical impact of target engagement and serves as a model for implementing the 'fast-fail' approach.

The relationship of personality traits to substance abuse in patients with bipolar disorder

Purpose

The aim of this study is to determine if personality traits contribute to the likelihood of substance abuse in Bipolar Disorder (BD).

Subjects/materials and methods

Fifty-nine patients meeting DSM-IV criteria for BD: 20 without any history of Substance Related Disorder (SRD), 21 with a lifetime history of SRD but without current SRD, and 18 with current SRD. Patients filled out the TCI, the differences were analyzed by ANOVA and the likelihood was obtained by Multinomial Logistic Regression.

Results

Only Novelty Seeking (NS) is statistically different between the groups. Patients with BD with current SRD have higher rates in NS than those with past SRD, and those without a history of SRD. NS was confirmed as a predicting variable, both to current SRD (OR [CI 95%] = 1.039/1.351; p = 0.011) and past SRD (OR [CI 95%] = 1.004/1.277; p = 0.042) on patients with BD.

Discussion

The results shown would appear to confirm the relationship of NS with the SRD, so long as there is no clear evidence that indicates the association of NS with BD.

Conclusions

There appears a greater predisposition to develop SRD in those patients with a higher degree of NS. The use of the Cloninger's TCI could be used in BD to determine the risk of developing an SRD. Early detection might help improve prognosis.

New data on the use of lithium, divalproate, and lamotrigine in rapid cycling bipolar disorder

The rapid cycling variant of bipolar disorder is defined as the occurrence of four periods of either manic or depressive illness within 12 months. Patients suffering from this variant of bipolar disorder have an unmet need for effective treatment. This review examines two major studies in an attempt to update understanding of the current therapies available to treat rapid cycling patients. The first trial compares lamotrigine versus placebo in 182 patients studied for 6 months. The second is a recently completed, 20-month trial comparing divalproate and lithium in 60 patients. Both trials had a double-blind, randomized parallel-group design. The data from the latter study indicate that there are no large differences in efficacy between lithium and divalproate in the long-term treatment of rapid cycling bipolar disorder. In addition, lamotrigine has the potential to complement the spectrum of lithium and divalproate through its greater efficacy for depressive symptoms.

The impact of binge eating behavior on lithium- and quetiapine-associated changes in body weight, body mass index, and waist circumference during 6 months of treatment: Findings from the bipolar CHOICE study

BACKGROUND

Lithium and quetiapine can cause weight gain, but their comparative longer term anthropometric effects are unknown, as are the potential moderating effects of baseline binge-eating (BE) behavior.

METHODS

We assessed 6 month changes in body weight, body mass index (BMI) and waist circumference in 482 adults with DSM-IV bipolar disorders who participated in a comparative effectiveness study of lithium and quetiapine with evidence-based adjunctive treatment (Bipolar CHOICE). Anthropometric measurements were obtained at baseline, and at 2, 4, 6, 8, 12, 16, 20, and 24 weeks. BE behavior was defined as affirmative responses to MINI items M1 and M3 at baseline. Data were analyzed using a mixed model repeated measures approach, adjusted for baseline values of dependent measures.

RESULTS

On average, body weight and BMI increased over 6 months with lithium and quetiapine. However, those treated with quetiapine experienced greater increases from baseline in body weight (peak change, + 3.6 lbs. vs. + 1.4 lbs.) and BMI (peak change, + 0.6 kg/m² vs. + 0.3 kg/m²), starting at 2 weeks (group x time, F_8,3052= 2.9, p = 0.003 for body weight, F_8,3052= 3.0, p = 0.002 for BMI). Significant increases in waist circumference were observed only with quetiapine. The relationship between drug treatment and changes in body weight (group x time x binge eating status, F_1,2770= 2.0, p = 0.002), BMI (F_1,2767= 2.0, p = 0.002), and waist circumference (women only, F_25,1621= 2.9, p < 0.0001) were moderated by BE behavior. The largest increases over 24 weeks in body weight and BMI, and waist circumference in women, occurred for quetiapine-treated patients with baseline binge-eating, relative to quetiapine-treated patients without binge eating and lithium-treated patients with or without baseline binge-eating.

LIMITATIONS

Bipolar CHOICE was not designed to study anthropometric outcomes.

CONCLUSIONS

Greater changes in body weight, BMI, and waist circumference occurred with quetiapine- versus lithium-based treatment over 6 months of treatment. The effects of study drugs on these anthropometric measures were moderated by BE behavior at baseline.

Genomic influences on self-reported childhood maltreatment

Childhood maltreatment is highly prevalent and serves as a risk factor for mental and physical disorders. Self-reported childhood maltreatment appears heritable, but the specific genetic influences on this phenotype are largely unknown. The aims of this study were to (1) identify genetic variation associated with self-reported childhood maltreatment, (2) estimate SNP-based heritability (h2snp), (3) assess predictive value of polygenic risk scores (PRS) for childhood maltreatment, and (4) quantify genetic overlap of childhood maltreatment with mental and physical health-related phenotypes, and condition the top hits from our analyses when such overlap is present. Genome-wide association analysis for childhood maltreatment was undertaken, using a discovery sample from the UK Biobank (UKBB) (n = 124,000) and a replication sample from the Psychiatric Genomics Consortium-posttraumatic stress disorder group (PGC-PTSD) (n = 26,290). h2snp for childhood maltreatment and genetic correlations with mental/physical health traits were calculated using linkage disequilibrium score regression. PRS was calculated using PRSice and mtCOJO was used to perform conditional analysis. Two genome-wide significant loci associated with childhood maltreatment (rs142346759, p = 4.35 × 10-8, FOXP1; rs10262462, p = 3.24 × 10-8, FOXP2) were identified in the discovery dataset but were not replicated in PGC-PTSD. h2snp for childhood maltreatment was ~6% and the PRS derived from the UKBB was significantly predictive of childhood maltreatment in PGC-PTSD (r2 = 0.0025; p = 1.8 × 10-15). The most significant genetic correlation of childhood maltreatment was with depressive symptoms (rg = 0.70, p = 4.65 × 10-40), although we show evidence that our top hits may be specific to childhood maltreatment. This is the first large-scale genetic study to identify specific variants associated with self-reported childhood maltreatment. Speculatively, FOXP genes might influence externalizing traits and so be relevant to childhood maltreatment. Alternatively, these variants may be associated with a greater likelihood of reporting maltreatment. A clearer understanding of the genetic relationships of childhood maltreatment, including particular abuse subtypes, with a range of phenotypes, may ultimately be useful in in developing targeted treatment and prevention strategies.

Bipolar depression and suicidal ideation: Moderators and mediators of a complex relationship

INTRODUCTION

Not all patients with bipolar depression have suicidal ideation (SI). This study examines some factors that link bipolar depression to SI.

METHODS

482 individuals with bipolar I or II were randomized to either lithium or quetiapine plus adjunctive personalized therapy in a 24 week comparative effectiveness trial. Severity of depression and SI were assessed with the Bipolar Inventory of Symptoms Scale (BISS). We examined potential moderators (age, gender, age of illness onset, bipolar type, comorbid anxiety, substance use, past suicide attempts, childhood abuse and treatment arm) and mediators (severity of anxiety, mania, irritability, impairment in functioning (LIFE-RIFT) and satisfaction and enjoyment of life (Q-LES-Q)) of the effect of depression on SI. Statistical analyses were conducted using generalized estimating equations with repeated measures.

RESULTS

Bipolar type and past suicide attempts moderated the effect of depression on SI. Life satisfaction mediated the effect of depression and SI. The relationship between anxiety, depression and SI was complex due to the high level of correlation. Treatment with lithium or quetiapine did not moderate the effect of depression on SI.

LIMITATIONS

Suicide assessment was only done using an item on BISS. Patient population was not specifically chosen for high suicide risk.

DISCUSSION

Individuals with Bipolar II experienced more SI with lower levels of depression severity. A history of suicide predisposed patients to higher levels of SI given the same severity of depression. Reduced life satisfaction mediates the effect of depression on SI and may be a target for therapeutic interventions.

Bipolar depression: the clinical characteristics and unmet needs of a complex disorder

Objective: We reviewed important clinical aspects of bipolar depression, a progressive psychiatric condition that is commonly treated in primary care. Bipolar depression is associated with considerable burden of illness, high suicide risk, and greater morbidity and mortality than bipolar mania. Methods: We identified articles relevant to our narrative review using a multistep search of the literature and applying terms that were relevant to bipolar depression or bipolar disorder. Results: Bipolar depression accounts for the majority of time spent unwell for patients with bipolar disorder; high rates of morbidity and mortality arise from full symptomatic episodes and interepisode subsyndromal symptoms. Bipolar depression is an important contributor to long-term dysfunction for patients with bipolar disorder due to psychosocial impairment, loss of work productivity and high rates of substance abuse. Missed and delayed diagnosis is prevalent due to overlapping symptoms with unipolar depression and other diagnoses. Medical comorbidities (i.e. cardiovascular disease, hypertension, obesity, metabolic syndrome) and psychiatric comorbidities (i.e. anxiety disorder, personality disorder, eating disorder, attention-deficit/hyperactivity disorder) are common. Currently, only three treatments are FDA-approved for bipolar depression; monotherapy antidepressants are not a recommended treatment option. Conclusions: Bipolar disorder is common among primary care patients presenting with depression; it is often treated exclusively in primary care. Clinicians should be alert for symptoms of bipolar disorder in undiagnosed patients, know what symptoms probabilistically suggest bipolar versus unipolar depression, have expertise in providing ongoing treatment to diagnosed patients, and be knowledgeable about managing common medication-related side effects and comorbidities. Prompt and accurate diagnosis is critical.

International meta-analysis of PTSD genome-wide association studies identifies sex- and ancestry-specific genetic risk loci

The risk of posttraumatic stress disorder (PTSD) following trauma is heritable, but robust common variants have yet to be identified. In a multi-ethnic cohort including over 30,000 PTSD cases and 170,000 controls we conduct a genome-wide association study of PTSD. We demonstrate SNP-based heritability estimates of 5-20%, varying by sex. Three genome-wide significant loci are identified, 2 in European and 1 in African-ancestry analyses. Analyses stratified by sex implicate 3 additional loci in men. Along with other novel genes and non-coding RNAs, a Parkinson's disease gene involved in dopamine regulation, PARK2, is associated with PTSD. Finally, we demonstrate that polygenic risk for PTSD is significantly predictive of re-experiencing symptoms in the Million Veteran Program dataset, although specific loci did not replicate. These results demonstrate the role of genetic variation in the biology of risk for PTSD and highlight the necessity of conducting sex-stratified analyses and expanding GWAS beyond European ancestry populations.

Complex polypharmacy in bipolar disorder: Side effect burden, adherence, and response predictors

BACKGROUND

Complex polypharmacy (CP) is common in bipolar disorder (BD). We assessed the associations between CP, adherence, and side effect burden, and patient traits associated with clinical improvement in relationship to CP.

METHODS

We conducted a secondary analysis of 482 adult BD participants in the Bipolar CHOICE trial. We examined the associations between CP (use of ≥3 BD medications) and non-adherence (missing >30% of BD medication doses in the last 30 days) and side effect burden (Frequency, Intensity and Burden of Side Effects Rating scale) using multivariate models with patient random effects. We used logistic regression to assess the patient traits associated with remission among those with majority CP use (Clinical Global Impression-Severity for BD score ≤2 for 8+ weeks).

RESULTS

43% of patients had any CP and 25% had CP for the majority of the study. CP was associated with non-adherence (OR = 2.51, 95% CI [1.81, 3.50]), but not worse side effect burden. Among those with CP, 16% achieved remission; those with non-adherence, comorbid social or generalized anxiety disorder, or BD I vs. II were less likely to achieve remission among those with CP.

LIMITATIONS

There could be unmeasured confounding between use of CP and side effect burden or adherence. Adherence was measured by self-report, which could be subject to reporting error.

CONCLUSIONS

BD patients with CP were less likely to adhere to therapy, and those with worse adherence to CP were less likely to clinically respond. Clinicians should assess medication adherence prior to adding another agent to medication regimens.

Patterns of changes in bipolar depressive symptoms revealed by trajectory analysis among 482 patients with bipolar disorder

INTRODUCTION

Depressive episodes are often prevalent among patients with bipolar disorder, but little is known regarding the differential patterns of development over time. We aimed to determine and characterize trajectories of depressive symptoms among adults with bipolar disorder during 6 months of systematic treatment.

METHODS

The pragmatic clinical trial, Bipolar Clinical Health Outcomes Initiative in Comparative Effectiveness (CHOICE), randomized 482 outpatients with bipolar disorder to lithium or quetiapine. Depressive symptoms were rated at up to 9 visits using the Montgomery-Asberg Depression Rating Scale (MADRS). Growth mixture modeling was utilized to identify trajectories and multinomial regression analysis estimated associations with potential predictors.

RESULTS

Four distinct trajectories of depressive symptoms were identified. The responding class (60.3%) with a rapid reduction and subsequent low level; the partial-responding class (18.4%) with an initial reduction followed by an increase during the remaining weeks; the fluctuating class (11.6%) with a fluctuation in depressive symptoms; and the non-responding class (9.7%) with sustained moderate-severe depressive symptoms. Bipolar type I predicted membership of the non-responding class and randomization to quetiapine predicted membership of either the responding or the non-responding class.

CONCLUSION

Approximately 30% experienced a partial or fluctuating course, and almost 10% had a chronic course with moderate-severe depression during 6 months. Patients diagnosed with bipolar type 1 had higher risk of being categorized into a class with a worse outcome. While no differences in average overall outcomes occurred between the lithium and quetiapine groups, trajectory analysis revealed that the lithium group had more variable courses.

Entrainment of Circadian Rhythms to Temperature Reveals Amplitude Deficits in Fibroblasts from Patients with Bipolar Disorder and Possible Links to Calcium Channels

Bipolar disorder (BD) is characterized by recurrent mood episodes, and circadian rhythm disturbances. Past studies have identified calcium channel genes as risk loci for BD. CACNA1C encodes an L-type calcium channel (LTCC) involved in the entrainment of circadian rhythms to light. Another calcium channel, i.e., the ryanodine receptor (RYR), is involved in -circadian phase delays. It is unknown whether variants in CACNA1C or other calcium channels contribute to the circadian phenotype in BD. We hypothesized that, by using temperature cycles, we could model circadian entrainment in fibroblasts from BD patients and controls to interrogate the circadian functions of LTCCs. Using Per2-luc, a bioluminescent reporter, we verified that cells entrain to temperature rhythms in vitro. Under constant temperature conditions, the LTCC antagonist verapamil shortened the circadian period, and the RYR antagonist dantrolene lengthened the period. However, neither drug affected temperature entrainment. Fibroblasts from BD patients and controls also entrained to temperature. In cells from BD patients, the rhythm amplitude was lower under entrained, but not constant, conditions. Temperature entrainment was otherwise similar between BD and control cells. However, the CACNA1C genotype among BD cells predicted the degree to which cells entrained. We conclude that assessment of rhythms under entrained conditions reveals additional rhythm abnormalities in BD that are not observable under constant temperature conditions.

The effects of valbenazine on tardive dyskinesia in patients with a primary mood disorder

BACKGROUND

Few studies have assessed the treatment of tardive dyskinesia (TD) in patients with primary mood disorders who are managed with antipsychotics. The effects of once-daily valbenazine on TD were evaluated in adults with a bipolar or depressive disorder.

METHODS

Data were pooled from two 6-week double-blind placebo-controlled trials (KINECT 2 and KINECT 3; 114 mood participants) and a long-term blinded extension study (KINECT 3 extension; 77 mood participants) of valbenazine in adults with TD. Efficacy assessments included Abnormal Involuntary Movement Scale (AIMS) total score (sum of items 1-7), Clinical Global Impression of Change-Tardive Dyskinesia (CGI-TD), and Patient Global Impression of Change (PGIC). Safety assessments included treatment-emergent adverse events (TEAEs), Young Mania Rating Scale, and Montgomery-Åsberg Depression Rating Scale.

RESULTS

At Week 6, mean improvements in AIMS total score were significantly greater with valbenazine versus placebo (40 mg/day, -3.1 [P < 0.01]; 80 mg/day, -3.5 [P < 0.001]; placebo, -0.9). Significant differences between valbenazine (80 mg/day) and placebo were also found for Week 6 AIMS response (≥50% total score improvement) and CGI-TD response ("much improved" or "very much improved"), but not PGIC response. Sustained improvements in AIMS, CGI-TD, and PGIC were found through 48 weeks. Valbenazine was generally well tolerated, with no unexpected TEAEs, worsening in psychiatric symptoms, or emergence of suicidality.

LIMITATIONS

Pooled analyses were conducted post hoc, and neither study was designed to focus solely on mood disorder patients.

CONCLUSIONS

In participants with primary mood disorders, once-daily treatment with valbenazine was generally well tolerated and resulted in 6-week and sustained TD improvements.

Comorbid anxiety in bipolar CHOICE: Insights from the bipolar inventory of symptoms scale

BACKGROUND

Approximately 86-89% of patients with BD have a comorbid anxiety disorder associated with poor quality of life and reduced likelihood of recovery from an acute mood episode. The purpose of this study is to assess the prevalence and impact of comorbid anxiety using the Bipolar Inventory of Symptoms Scale (BISS) in patients with BD who participated in a 6-month pragmatic trial.

METHODS

Participants (N = 482) in the Bipolar Clinical Health Outcomes Initiative in Comparative Effectiveness (CHOICE) study were adults with BD I or II. Anxiety diagnoses were assessed with the MINI. Global illness severity was assessed using the Clinical Global Impression-Bipolar Version. Mood symptoms and anxiety severity were assessed using the BISS.

RESULTS

61% of the study sample met criteria for a current anxiety disorder. Patients with a higher BISS anxiety score at baseline had a higher overall BD illness severity, depressive severity, and manic episode severity (p < 0.001). A single cutoff value of BISS anxiety had great sensitivity, yet poor specificity for determining a comorbid anxiety diagnosis. There were no significant differences in outcomes for individuals treated for anxiety disorders with anxiolytics compared with those who were not treated with anxiolytics.

LIMITATIONS

Sample size limitations prevented an analysis of whether the BISS cutoff score of 10 performed differently across varied anxiety disorders.

CONCLUSIONS

Given its ability to identify patients with co-occurring anxiety, the BISS anxiety subscale shows clinical utility as a screening measure though its application as a clinical assessment measure may not be advisable.

Double-blind, placebo-controlled trial of pioglitazone for bipolar depression

BACKGROUND

Objective of the present study was to conduct an 8-week double-blind, randomized, placebo-controlled trial to test the efficacy of pioglitazone in the treatment of bipolar depression.

METHODS

38 outpatients with bipolar disorder and current major depressive episode were randomized to pioglitazone (15-45 mg/day) or placebo. The use of concomitant mood stabilizers, antipsychotics, and antidepressants was permitted. The primary outcome measure was the 30-item Inventory of Depressive Symptomatology, Clinician Rated (IDS-C30) total score change from baseline to endpoint. Laboratory evaluations, including serum level of inflammatory and metabolic biomarkers, were conducted.

RESULTS

37 subjects were analyzed for efficacy (1 subject had no follow-up data). Mean reduction from baseline to week 8 in IDS-C30 score was-6.59 for pioglitazone and -11.63 for placebo. Mixed effects modeling indicated borderline statistically significant difference between the two groups (p = 0.056) in favor of placebo. On analysis of inflammatory and metabolic markers, a statistically significant negative correlation was noted between change in leptin levels and change in depression scores in the pioglitazone group (r = -0.61, p = 0.047) but not in the placebo group, the significance of which is unclear as the study failed to demonstrate antidepressant efficacy of pioglitazone over placebo. No serious adverse effects were reported, and pioglitazone was well-tolerated.

LIMITATIONS

small sample size with inadequate power, concomitant use of other psychotropic medications, and lack of statistical adjustment for multiple testing.

CONCLUSION

Current study does not support the antidepressant efficacy of pioglitazone in the treatment of bipolar depression. (240 words).

Chronotype and cellular circadian rhythms predict the clinical response to lithium maintenance treatment in patients with bipolar disorder

Bipolar disorder (BD) is a serious mood disorder associated with circadian rhythm abnormalities. Risk for BD is genetically encoded and overlaps with systems that maintain circadian rhythms. Lithium is an effective mood stabilizer treatment for BD, but only a minority of patients fully respond to monotherapy. Presently, we hypothesized that lithium-responsive BD patients (Li-R) would show characteristic differences in chronotype and cellular circadian rhythms compared to lithium non-responders (Li-NR). Selecting patients from a prospective, multi-center, clinical trial of lithium monotherapy, we examined morning vs. evening preference (chronotype) as a dimension of circadian rhythm function in 193 Li-R and Li-NR BD patients. From a subset of 59 patient donors, we measured circadian rhythms in skin fibroblasts longitudinally over 5 days using a bioluminescent reporter (Per2-luc). We then estimated circadian rhythm parameters (amplitude, period, phase) and the pharmacological effects of lithium on rhythms in cells from Li-R and Li-NR donors. Compared to Li-NRs, Li-Rs showed a difference in chronotype, with higher levels of morningness. Evening chronotype was associated with increased mood symptoms at baseline, including depression, mania, and insomnia. Cells from Li-Rs were more likely to exhibit a short circadian period, a linear relationship between period and phase, and period shortening effects of lithium. Common genetic variation in the IP₃ signaling pathway may account for some of the individual differences in the effects of lithium on cellular rhythms. We conclude that circadian rhythms may influence response to lithium in maintenance treatment of BD.

Correlation between depression/anxiety symptom severity and quality of life in patients with major depressive disorder or bipolar disorder

OBJECTIVE

To study the correlation between depression/anxiety severity and the quality of life (QOL) in patients with major depressive disorder (MDD) or bipolar disorder (BP).

METHODS

Two hundred forty-three outpatients diagnosed with MDD or BP were used to study the relationship between depression/anxiety severity and QOL. Depression and anxiety symptom-severity were measured with the QIDS-16-SR (the 16 Item Quick Inventory of Depressive Symptomatology - Self Report), and Zung-SAS (Zung Self-Rating Anxiety Scale). The QOL was measured with the Q-LES-Q short-form (the Quality of Life, Enjoyment and Satisfaction Questionnaire). Correlation was assessed with regression analysis.

RESULTS

The percentage of maximum possible scores (MPS) of Q-LES-Q was 72.1%, 70.5%, and 67.6% for euthymic MDD, BPI, and BPII, respectively. Increases in QIDS-16-SR total scores significantly correlated to decreases in Q-LES-Q total scores, with an R² = 0.61, R² = 0.52, and R² = 0.45 for MDD, BPI, and BPII, respectively. Increases in Zung-SAS scores also significantly correlated to decreases in Q-LES-Q total scores with an R² = 0.20, R² = 0.21, and R² = 0.12 for MDD, BPI, and BPII. However, after controlling for depression severity, significant differences between Q-LES-Q and Zung-SAS scores disappeared in MDD and BP. After controlling for anxiety and other clinical variables, the negative correlation between QIDS-16-SR and Q-LES-Q scores remained significant in MDD and BP.

CONCLUSIONS

In this outpatient sample, the MPS of Q-LES-Q in euthymic MDD and BP patients was at the lower end of non-psychiatric or medical community norm spectrum. Depression severity was the only independent variable negatively correlated to the QOL in both disorders.

The safety and tolerability of aripiprazole once-monthly as maintenance treatment for bipolar I disorder: A double-blind, placebo-controlled, randomized withdrawal study

BACKGROUND

Aripiprazole once-monthly 400 mg (AOM 400), an atypical long-acting injectable antipsychotic, has demonstrated efficacy and safety in maintenance treatment of bipolar I disorder (BP-I). We further assess safety and tolerability and characterize adverse events (AEs) across the duration of aripiprazole exposure.

METHODS

Patients with BP-I were stabilized on oral aripiprazole (2-8 weeks), AOM 400 (12-28 weeks), followed by 1:1 randomization of patients meeting stability criteria to a 52-week, double-blind, placebo-controlled withdrawal phase. Treatment-emergent AEs (TEAEs) were collected across study phases. AEs were counted in a phase if they were drug-related and continued from the baseline of that phase. A separate analysis on new-onset akathisia was conducted.

RESULTS

Among TEAEs occurring in ≥10% of patients during all study phases were akathisia (23.3%) and weight increased (10.6%). Median time to akathisia onset was 20 days after starting oral aripiprazole; median duration was 29 days for the first occurrence; 21/168 patients (12.5%) reporting akathisia experienced >1 episode. Episodes of new-onset akathisia decreased over time, with few events reported in the randomized phase. Weight gain was minimal with oral aripiprazole, generally starting within 3 months after the first AOM 400 injection, and appearing to plateau at 36 weeks. The mean weight gain within any study phase was ≤1.0 kg. Potentially clinically significant changes in metabolic parameters were uncommon.

LIMITATIONS

Patients on placebo had AOM 400 exposure before randomization.

CONCLUSION

These findings suggest that AEs with AOM 400 treatment were time-limited and support AOM 400 as a well-tolerated maintenance treatment of BP-I.

Subthreshold PTSD and PTSD in a prospective-longitudinal cohort of military personnel: Potential targets for preventive interventions

BACKGROUND

Prevention of PTSD requires identification of subpopulations contributing most to the population burden of PTSD. This study examines the relative contribution of subthreshold PTSD and probable PTSD on future PTSD in a representative military cohort.

METHODS

We analyze data on 3,457 U.S. National Guard members from the state of Ohio, assessed by telephone annually from 2008 to 2014. At each wave, participants were classified into one of three groups based on the PTSD Checklist: probable PTSD (DSM-IV-TR criteria), subthreshold PTSD (Criterion A1, at least one symptom in each cluster, symptom lasting longer than 30 days, and functional impairment), and no PTSD. We calculated the exposure rate, risk ratio (RR), and population attributable fraction (PAF) to determine the burden of future probable PTSD attributable to subthreshold PTSD compared to probable PTSD.

RESULTS

The annualized prevalence of subthreshold PTSD and probable PTSD was respectively 11.9 and 5.0%. The RR for probable PTSD was twice as great among respondents with probable PTSD the prior interview than that of those with subthreshold PTSD (7.0 vs. 3.4); however, the PAF was considerably greater in participants with subthreshold PTSD the prior interview (PAF = 35%; 95% confidence interval (CI) = 26.0-42.9%) than in those with probable PTSD (PAF = 28.0%; 95% CI = 21.8-33.8%). Results were robust to changes in subthreshold PTSD definition.

CONCLUSIONS

Subthreshold PTSD accounted for a substantial proportion of this population's future PTSD burden. Population-based preventive interventions, compared to an approach focused exclusively on cases of diagnosable PTSD, is likely to affect the greatest reduction in this population's future PTSD burden.

Decreased activation and subsyndromal manic symptoms predict lower remission rates in bipolar depression

OBJECTIVE

Activation encompasses energy and activity and is a central feature of bipolar disorder. However, the impact of activation on treatment response of bipolar depression requires further exploration. The aims of this study were to assess the association of decreased activation and sustained remission in bipolar depression and test for factors that could affect this association.

METHODS

We assessed participants with Diagnostic and Statistical Manual of Mental Disorders (4th ed) bipolar depression ( n = 303) included in a comparative effectiveness study of lithium- and quetiapine-based treatments (the Bipolar CHOICE study). Activation was evaluated using items from the Bipolar Inventory of Symptoms Scale. The selection of these items was based on a dimension of energy and interest symptoms associated with poorer treatment response in major depression.

RESULTS

Decreased activation was associated with lower remission rates in the raw analyses and in a logistic regression model adjusted for baseline severity and subsyndromal manic symptoms (odds ratio = 0.899; p = 0.015). The manic features also predicted lower remission (odds ratio = 0.934; p < 0.001). Remission rates were similar in the two treatment groups.

CONCLUSION

Decreased activation and subsyndromal manic symptoms predict lower remission rates in bipolar depression. Patients with these features may require specific treatment approaches, but new studies are necessary to identify treatments that could improve outcomes in this population.