Depression in bipolar disorder versus major depressive disorder: results from the National Epidemiologic Survey on Alcohol and Related Conditions

Eveningness is associated with more severe depressive symptoms independently of sleep quality and fatigue level only in first-episode but not recurrent depression in major depressive disorder

People with an evening chronotype have an increased risk of experiencing a major depressive disorder (MDD). It is unclear if this effect is predominantly related to the initial development of MDD or also present in recurrent episodes. The current study aimed to investigate if the association between chronotype and depressive severity in MDD patients is comparable in MDD patients with first and recurrent episodes. 386 MDD patients, 70.7% females and aged between 16 and 64, participated in the study. The Morningness - Eveningness Questionnaire (MEQ), Pittsburgh Sleep Quality Index (PSQI), Multidimensional Fatigue Inventory (MFI20), and Quick Inventory of Depressive Symptomatology (QIDS-SR16) were administered to participants to determine chronotype, sleep quality, fatigue level, and depressive severity, respectively. Multivariate regression models were utilized to analyze how chronotype influences depressive severity. The study showed that chronotype, sleep quality, and fatigue level were all associated with depressive severity. Eveningness significantly predicted an increase in depressive severity independently of sleep quality and fatigue level only in patients with the first episode (-0.068, p = 0.010), but not in patients with recurrent episodes (0.013, p = 0.594). Circadian-focused treatment should be considered in first-episode depression only.

Clinical distinctions in symptomatology and psychiatric comorbidities between misdiagnosed bipolar I and bipolar II disorder versus major depressive disorder

BACKGROUND

To explore the demographic and clinical features of current depressive episode that discriminate patients diagnosed with major depressive disorder (MDD) from those with bipolar I (BP-I) and bipolar II (BP-II) disorder who were misdiagnosed as having MDD .

METHODS

The Mini-International Neuropsychiatric Interview (MINI) assessment was performed to establish DSM-IV diagnoses of MDD, and BP-I and BP-II, previously being misdiagnosed as MDD. Demographics, depressive symptoms and psychiatric comorbidities were compared between 1463 patients with BP-I, BP-II and MDD from 8 psychiatric settings in mainland China. A multinomial logistic regression model was performed to assess clinical correlates of diagnoses.

RESULTS

A total of 14.5% of the enrolled patients initially diagnosed with MDD were eventually diagnosed with BP. Broad illness characteristics including younger age, higher prevalence of recurrence, concurrent dysthymia, suicidal attempts, agitation, psychotic features and psychiatric comorbidities, as well as lower prevalence of insomnia, weight loss and somatic symptoms were featured by patients with BP-I and/or BP-I, compared to those with MDD. Comparisons between BP-I and BP-II versus MDD indicated distinct symptom profiles and comorbidity patterns with more differences being observed between BP-II and MDD, than between BP-I and MDD .

CONCLUSION

The results provide evidence of clinically distinguishing characteristics between misdiagnosed BP-I and BP- II versus MDD. The findings have implications for guiding more accurate diagnoses of bipolar disorders.

Comparing self-reported quality of life in youth with bipolar versus other disorders

OBJECTIVES

This study benchmarks quality of life (QoL) of youth with bipolar disorder (BD) against healthy youth, youth with chronic medical conditions, and youth with other psychiatric disorders. The relative impacts of depressive, (hypo)manic, mixed, and externalizing symptoms on QoL are tested for youth with BD.

METHOD

In total, 657 youth completed the Schedule for Affective Disorders and Schizophrenia for Children (KSADS), the KSADS depression and mania scales, the Parent General Behavior Inventory (PGBI), and the Child Behavior Checklist (CBCL). Youth-reported QoL was determined by the Revised Children Quality of Life Questionnaire (KINDL) and was compared to healthy youth, youth with chronic medical conditions, and youth with other psychiatric disorders.

RESULTS

Youth with BD reported poorer QoL overall and on most subscales compared to healthy youth, youth with chronic medical conditions, youth with behavior disorders, and youth with other non-behavior/non-mood disorders. QoL in youth with BD did not differ significantly from QoL in youth with unipolar depression. Parent-report and interview-rated depressive symptoms were associated with decreases in Total QoL and all QoL subscales except Family. Externalizing symptoms were associated with decreases in Family QoL and increases in Friend QoL, and (hypo)manic symptoms were associated with increases in Emotional Well-Being QoL.

CONCLUSIONS

Depressive symptoms may drive the decline in QoL causing youth with BD to rate their QoL worse than healthy youth, youth with chronic medical conditions, and youth with behavior disorders, but not worse than youth with unipolar depression.

Differences in Non-suicidal Self-injury Behaviors between Unipolar Depression and Bipolar Depression in Adolescent Outpatients

OBJECTIVE

Non-suicidal self-injury (NSSI) has a higher prevalence in adolescents with depressive disorders than in community adolescents. This study examined the differences in NSSI behaviors between adolescents with unipolar depression (UD) and those with bipolar depression (BD).

METHODS

Adolescents with UD or BD were recruited from 20 general or psychiatric hospitals across China. The methods, frequency, and function of NSSI were assessed by Functional Assessment of Self-Mutilation. The Beck Suicide Ideation Scale was used to evaluate adolescents' suicidal ideation, and the 10-item Kessler Psychological Distress Scale to estimate the anxiety and depression symptoms.

RESULTS

The UD group had higher levels of depression (19.16 vs.17.37, F=15.23, P<0.001) and anxiety symptoms (17.73 vs.16.70, F=5.00, P=0.026) than the BD group. Adolescents with BD had a longer course of NSSI than those with UD (2.00 vs.1.00 year, Z=-3.39, P=0.001). There were no statistical differences in the frequency and the number of methods of NSSI between the UD and BD groups. Depression (r=0.408, P<0.01) and anxiety (r=0.391, P<0.01) were significantly and positively related to NSSI frequency.

CONCLUSION

Adolescents with BD had a longer course of NSSI than those with UD. More importantly, NSSI frequency were positively and strongly correlated with depression and anxiety symptoms, indicating the importance of adequate treatment of depression and anxiety in preventing and intervening adolescents' NSSI behaviors.

Association of the plasma complement system with brain volume deficits in bipolar and major depressive disorders

BACKGROUND

Inflammation plays a crucial role in the pathogenesis of major depressive disorder (MDD) and bipolar disorder (BD). This study aimed to examine whether the dysregulation of complement components contributes to brain structural defects in patients with mood disorders.

METHODS

A total of 52 BD patients, 35 MDD patients, and 53 controls were recruited. The human complement immunology assay was used to measure the levels of complement factors. Whole brain-based analysis was performed to investigate differences in gray matter volume (GMV) and cortical thickness (CT) among the BD, MDD, and control groups, and relationships were explored between neuroanatomical differences and levels of complement components.

RESULTS

GMV in the medial orbital frontal cortex (mOFC) and middle cingulum was lower in both patient groups than in controls, while the CT of the left precentral gyrus and left superior frontal gyrus were affected differently in the two disorders. Concentrations of C1q, C4, factor B, factor H, and properdin were higher in both patient groups than in controls, while concentrations of C3, C4 and factor H were significantly higher in BD than in MDD. Concentrations of C1q, factor H, and properdin showed a significant negative correlation with GMV in the mOFC at the voxel-wise level.

CONCLUSIONS

BD and MDD are associated with shared and different alterations in levels of complement factors and structural impairment in the brain. Structural defects in mOFC may be associated with elevated levels of certain complement factors, providing insight into the shared neuro-inflammatory pathogenesis of mood disorders.

Comparison of bipolar disorder type II and major depressive disorder

OBJECTIVE

Compare patients diagnosed as DSM-5 type II bipolar disorder (BD2) vs. major depressive disorder (MDD).

METHODS

We compared characteristics of 3246 closely and repeatedly evaluated, consenting, adult patient-subjects (n = 706 BD2, 2540 MDD) at a specialty clinic using bivariate methods and multivariable modeling.

RESULTS

Factors more associated with BD2 than MDD included: [a] descriptors (more familial psychiatric, mood and bipolar disorders and suicide; younger at onset, diagnosis and first-treatment; more education; more unemployment; fewer marriages and children; higher cyclothymic, hyperthymic and irritable temperament ratings, lower anxious); [b] morbidity (more hypomanic, mixed or panic first episodes; more co-occurring general medical diagnoses, more Cluster B personality disorder diagnoses and ADHD; more alcohol and drug abuse and smoking; shorter depressive episodes and interepisode periods; lower intake ratings of depression and anxiety, higher for hypomania; far more mood-switching with antidepressants; lower %-time depressed; DMI > MDI course-pattern in BD2; more suicide attempts and violent suicidal behavior); [c] item-scores with intake HDRS₂₁ higher for suicidality, paranoia, anhedonia, guilt, and circadian variation; lower somatic anxiety, depressed mood, insight, hypochondriasis, agitation, and insomnia; and [d] treatment (more lithium, mood-stabilizing anticonvulsants and antipsychotics, less antidepressants and benzodiazepines).

CONCLUSIONS

BD2 and MDD subjects differed greatly in many descriptive, psychopathological and treatment measures, notably including more familial risk, earlier onset, more frequent recurrences and greater suicidal risk with BD2. Such differences can contribute to improving differentiation of the disorders and planning for their treatment.

Predictors of diagnostic transition from major depressive disorder to bipolar disorder: a retrospective observational network study

Many patients with bipolar disorder (BD) are initially misdiagnosed with major depressive disorder (MDD) and are treated with antidepressants, whose potential iatrogenic effects are widely discussed. It is unknown whether MDD is a comorbidity of BD or its earlier stage, and no consensus exists on individual conversion predictors, delaying BD's timely recognition and treatment. We aimed to build a predictive model of MDD to BD conversion and to validate it across a multi-national network of patient databases using the standardization afforded by the Observational Medical Outcomes Partnership (OMOP) common data model. Five "training" US databases were retrospectively analyzed: IBM MarketScan CCAE, MDCR, MDCD, Optum EHR, and Optum Claims. Cyclops regularized logistic regression models were developed on one-year MDD-BD conversion with all standard covariates from the HADES PatientLevelPrediction package. Time-to-conversion Kaplan-Meier analysis was performed up to a decade after MDD, stratified by model-estimated risk. External validation of the final prediction model was performed across 9 patient record databases within the Observational Health Data Sciences and Informatics (OHDSI) network internationally. The model's area under the curve (AUC) varied 0.633-0.745 (µ = 0.689) across the five US training databases. Nine variables predicted one-year MDD-BD transition. Factors that increased risk were: younger age, severe depression, psychosis, anxiety, substance misuse, self-harm thoughts/actions, and prior mental disorder. AUCs of the validation datasets ranged 0.570-0.785 (µ = 0.664). An assessment algorithm was built for MDD to BD conversion that allows distinguishing as much as 100-fold risk differences among patients and validates well across multiple international data sources.

Impact of bipolar disorder on health-related quality of life and work productivity: Estimates from the national health and wellness survey in Japan

BACKGROUND

Previous studies have shown that bipolar disorder (BD) patients frequently present with difficulties in interpersonal relationships, education or employment and suffer poorer quality of life. This study aimed to estimate the impact of BD on health-related quality of life (HRQOL), work productivity loss and indirect costs.

METHODS

Data was from the online, self-administered 2019 National Health and Wellness Survey. Outcomes were compared for those who self-reported a physician diagnosis of BD (N=179), major depressive disorder (MDD, N=1,549) and controls who have never experienced BD, MDD and schizophrenia (N=27,485).

RESULTS

The lifetime prevalence was estimated to be 0.60% for BD and 5.16% for MDD. Significantly lower Mental Component Summary (MCS), Role Component Summary (RCS) scores and EuroQol 5-dimension scale (EQ-5D-5L) summary index and significantly higher presenteeism, total work productivity impairment and activity impairment assessed by Work Productivity and Activity Impairment questionnaire and indirect costs for BD versus controls and BD PHQ-9≥10 versus PHQ-9<10 were observed. Compared to MDD patients, BD patients had significantly lower RCS score and greater work productivity loss and activity impairment. The national morbidity cost of BD in Japan was estimated to be Japanese yen 1,236 billion using a human-capital approach.

LIMITATIONS

The data used were self-reported and is cross-sectional in nature, thus causal relationship cannot be assumed.

CONCLUSION

BD patients and those with severe depressive symptoms experience significantly poorer HRQOL and greater work productivity loss and indirect costs. These findings highlight the importance of proper screening, diagnosis and treatment of BD and bipolar depression.

Behavioral mediators of stress-related mood symptoms in adolescence & young adulthood

BACKGROUND

Stress is a risk factor for unipolar and bipolar mood disorders, but the mechanisms linking stress to specific symptoms remain elusive. Behavioral responses to stress, such as impulsivity and social withdrawal, may mediate the associations between stress and particular mood symptoms.

METHODS

This study evaluated behavioral mediators of the relationship between self-reported intensity of daily stress and mood symptoms over up to eight weeks of daily diary surveys. The sample included individuals with unipolar or bipolar disorders, or with no psychiatric history (n = 113, ages 15-25).

RESULTS

Results showed that higher daily stress was related to higher severity of mania, and this pathway was mediated by impulsive behaviors. Higher stress also predicted higher severity of anhedonic depression, and social withdrawal mediated this relationship. A k-means clustering analysis revealed six subgroups with divergent profiles of stress-behavior-symptom pathways.

LIMITATIONS

Given the observational study design, analyses cannot determine causal relationships amongst these variables. Further work is needed to determine how relationships between these variables may vary based on stressor type, at different timescales, and within different populations.

CONCLUSIONS

Findings support a theoretical model in which impulsivity and social withdrawal act as behavioral mediators of the relationship between stress and mood symptoms. Additionally, distinct patterns of reactivity distinguished subgroups of people vulnerable to particular types of mood symptoms. These results provide novel information about how stress-reactive behaviors relate to specific mood symptoms, which may have clinical relevance as targets of intervention.

Evaluation of MADRS severity thresholds in patients with bipolar depression

BACKGROUND

The Montgomery-Åsberg Depression Rating Scale (MADRS) is commonly used to assess depression symptom changes in clinical trials; however, the score itself can be difficult to interpret without clinical context. Categories of depression severity corresponding to MADRS total score have not been established for bipolar depression, which was the objective of this study.

METHODS

Data were pooled from 3 randomized, double-blind, placebo-controlled trials of cariprazine in patients with bipolar I depression; placebo and cariprazine arms were pooled. An anchor-based approach was used to map MADRS total score to the clinician-rated, 7-category Clinical Global Impression of Severity scale (CGI-S). Spearman's correlation coefficient was used to assess associations between MADRS total and CGI-S scores. Optimal MADRS severity thresholds for each CGI-S category was determined via Youden index using receiver operating characteristic (ROC) analyses.

RESULTS

Using data from 1523 patients with bipolar depression, mean MADRS total scores were positively correlated with mean CGI-S scores at week 6 (r = 0.87; P<.0001). Using ROC curves, MADRS severity thresholds corresponding to each CGI-S category were estimated with high sensitivity and specificity: 0-6 for "normal, not at all ill", 7-12 for "borderline mentally ill", 13-18 for "mildly ill", 19-23 for "moderately ill", 24-36 for "markedly ill", 37-39 for "severely ill", and ≥40 for "extremely ill".

CONCLUSIONS

Utilizing data from 3 clinical trials of patients with bipolar depression, MADRS severity thresholds were identified. These empirical findings may help clinicians contextualize MADRS results from bipolar clinical research and apply to their practice.

TRIAL REGISTRATION

clinicaltrials.gov NCT01396447, NCT02670538, NCT02670551.

Electric field strength induced by electroconvulsive therapy is associated with clinical outcome

The clinical effect of electroconvulsive therapy (ECT) is mediated by eliciting a generalized seizure, which is achieved by applying electrical current to the head via scalp electrodes. The anatomy of the head influences the distribution of current flow in each brain region. Here, we investigated whether individual differences in simulated local electrical field strength are associated with ECT efficacy. We modeled the electric field of 67 depressed patients receiving ECT. Patient's T1 magnetic resonance images were segmented, conductivities were assigned to each tissue and the finite element method was used to solve for the electric field induced by the electrodes. We investigated the correlation between modelled electric field and ECT outcome using voxel-wise general linear models. The difference between bilateral (BL) and right unilateral (RUL) electrode placement was striking. Even within electrode configuration, there was substantial variability between patients. For the modeled BL placement, stronger electric field strengths appeared in the left hemisphere and part of the right temporal lobe. Importantly, a stronger electric field in the temporal lobes was associated with less optimal ECT response in patients treated with BL-ECT. No significant differences in electric field distributions were found between responders and non-responders to RUL-ECT. These results suggest that overstimulation of the temporal lobes during BL stimulation has negative consequences on treatment outcome. If replicated, individualized pre-ECT computer-modelled electric field distributions may inform the development of patient-specific ECT protocols.

The Economic Burden of Bipolar Disorder in the United States: A Systematic Literature Review

Bipolar disorder (BD) is a mood disorder with subtypes characterized by episodes of mania, hypomania, and/or depression. BD is associated with substantial economic burden, and the bipolar I disorder (BD-I) subtype is associated with high medical costs. This review further evaluated the economic burden of BD and BD-I in the United States (US), describing health-care resource utilization (HCRU) and sources of direct medical and indirect costs. Data were obtained from systematic searches of MEDLINE^®, EMBASE^®, and National Health Service Economic Evaluation Database. Citations were screened to identify primary research studies (published 2008-2018) on the economic burden of BD/BD-I or its treatment in real-world settings. Reported costs were converted to 2018 US dollars. Of identified abstracts (N=4111), 56 studies were included. The estimated total annual national economic burden of BD/BD-I was more than $195 billion, with approximately 25% attributed to direct medical costs. Individuals with BD/BD-I used health-care services more frequently and had higher direct medical costs than matched individuals without the disease. Drivers of higher direct costs included frequent psychiatric interventions, presence of comorbid medical/psychiatric conditions, and both suboptimal medication adherence and clinical management. Indirect costs (eg, unemployment, lost work productivity for patients/caregivers) accounted for 72-80% of the national economic burden of BD/BD-I. Different definitions for study populations and cost categories limited comparisons of economic outcomes. This review builds on existing literature describing the economic burden of BD and confirmed cost drivers of BD/BD-I. Improved clinical management of BD/BD-I and associated comorbidities, together with better medication adherence, may reduce health-care costs and improve patient outcomes.

Patients' experiences of cognitive functioning in recurrent depression: A qualitative study

WHAT IS KNOWN ON THE SUBJECT?: Recurrent depressive episodes involve significant morbidity, suicide risk and recurrent hospitalizations. In both major depressive disorder and bipolar disorder, there are significant impairments in functioning following resolution of acute symptoms. WHAT THIS PAPER ADDS TO EXISTING KNOWLEDGE?: This paper provides an in-depth qualitative understanding of the subjective experience of cognitive impairment following a depressive episode in a recurrent mood disorder. It identifies descriptions of two types of experience (being stuck and being preoccupied with one's thoughts) that led to impairments in concentration, memory, organization and decision-making. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Mental health nurses need to develop an awareness of the impact of cognitive difficulties in the process of recovery from recurrent mood disorders. Mental health nurses need to provide knowledgeable reassurance, information and interventions to people who experience cognitive difficulties to provide a framework of understanding that promotes recovery. ABSTRACT: Introduction People who experience recurrent depressive episodes often have ongoing cognitive problems that impact on their functional recovery. These cognitive difficulties have been identified as impacting on social, interpersonal and occupational functioning and can result in vulnerability to relapse. Aim The aim of this qualitative study was to explore participants' subjective experiences of cognitive impairment after discharge from mental health services following treatment for recurrent depression. Methods The study was designed as a qualitative study in order to best capture participants' subjective experiences. Data were collected by semi-structured interviews and were analysed using a process of thematic analysis. Results Twenty participants took part in this study. All participants described experiences of either 1) "being stuck"; or 2) "being preoccupied with own thoughts"; however, all participants described the experiences in the third theme: "it stops you living to your potential." Implications for practice In order to promote recovery in a meaningful way, mental health nurses need to provide information about and strategies for managing cognitive difficulties associated with recurrent mood disorders.

Depression Preceding Diagnosis of Bipolar Disorder

This paper focuses on depression that precedes an onset of manifest bipolar disorder as early stage bipolar disorder. First, we review how to pragmatically identify the clinical characteristics of patients presenting with an episode of depression who subsequently go on to develop episodes of mania or hypomania. The existing literature shows a strong consensus: accurate identification of depression with early onset and recurrent course with multiple episodes, subthreshold hypomanic and/or mixed symptoms, and family history of bipolar disorder or completed suicide have been shown by multiple authors as signs pointing to bipolar diagnosis. This contrasts with relatively limited information available to guide management of such "pre-bipolar" (pre-declared bipolar) patients, especially those in the adult age range. Default assumption of unipolar depression at this stage carries significant risk. Antidepressants are still the most common pharmacological treatment used, but clinicians need to be aware of their potential harm. In some patients with unrecognized bipolar depression, antidepressants can not only produce switch to (hypo)mania, but also mixed symptoms, or worsening of depression with an increased risk of suicide. We review pragmatic management strategies in the literature beyond clinical guidelines that can be considered for this at-risk group encompassing the more recent child and adolescent literature. In the future, genetic research could make the early identification of bipolar depression easier by generating informative markers and polygenic risk scores.

Economic Burden of Depression and Associated Resource Use in Manitoba, Canada

OBJECTIVES

To characterize the health-care utilization and economic burden associated with depression in Manitoba, Canada.

METHODS

Patient-level data were retrieved from the Manitoba Centre for Health Policy administrative, clinical, and laboratory databases for the study period of January 1, 1996, through December 31, 2016. Patients were assigned to the depression cohort based on diagnoses recorded in hospitalizations and outpatient physician claims, as well as antidepressant prescription drug claims. A comparison cohort of nondepressed subjects, matched with replacement for age, gender, place of residence (urban vs. rural), and index date, was created. Demographics, comorbidities, intentional self-harm, mortality, health-care utilization, prescription drug utilization, and costs of health-care utilization and social services were compared between depressed patients and matched nondepressed patients, and incidence rate ratios and hazard ratios were reported.

RESULTS

There were 190,065 patients in the depression cohort and 378,177 patients in the nondepression cohort. Comorbidities were 43% more prevalent among depressed patients. Intentional self-harm, all-cause mortality, and suicide mortality were higher among patients with depression than the nondepression cohort. Health-care utilization-including hospitalizations, physician visits, physician-provided psychotherapy, and prescription drugs-was higher in the depression than the nondepression cohort. Mean health-care utilization costs were 3.5 times higher among depressed patients than nondepressed patients ($10,064 and $2,832, respectively). Similarly, mean social services costs were 3 times higher ($1,522 and $510, respectively). Overall, depression adds a total average cost of $8,244 (SD = $40,542) per person per year.

CONCLUSIONS

Depression contributes significantly to health burden and per patient costs in Manitoba, Canada. Extrapolation of the results to the entire Canadian health-care system projects an excess of $12 billion annually in health system spending.

"Do depressive and manic symptoms differentially impact on functioning in acute depression? Results from a large, cross-sectional study"

BACKGROUND

Diagnostic criteria for a major depressive episode capture heterogeneous presentations across unipolar (UD) and bipolar (BD) and first-onset (FDE) depression. We evaluated the contribution of each depressive and (hypo)manic symptom to worse functioning in UD/BD/FDE subgroups.

METHODS

A post-hoc analysis of the BRIDGE-II-Mix study. Acutely depressed patients were stratified into UD, BD and FDE. Each (hypo)manic or depressive symptom was included in a diagnosis-specific logistic regression model with functioning as dependent variable. Better/worse functioning was set with median diagnosis-specific GAF scores cutoffs. All p values were two-tailed. Statistical significance was set at p < 0.05.

RESULTS

A total of 2768/2811 depressed individuals were enrolled. In BD (N = 716), "recurrent thoughts of death" (OR 2.48, p < 0.0001) and "feelings of worthlessness" (OR 2.28, p < 0.0001) among depressive symptoms, "aggressiveness" (OR 1.67, p = 0.022) as the unique (hypo)manic symptom, significantly contributed to worse functioning. In UD (N = 1357), "depressed mood" (OR 5.6, p = 0.031) and "diminished interest or pleasure" (OR 4.77, p < 0.0001) among depressive, "grandiosity" (OR 3.5, p = 0.014) among (hypo)manic symptoms, most significantly contributed to worse functioning. In FDE (N = 677) "recurrent thoughts of death" (OR 1.99, p < 0.0001) and "insomnia/hypersomnia" (OR 1.88, p = 0.039) among depressive, "grandiosity" (OR 5.98, p = 0.038) as (hypo)manic symptoms significantly contributed to worse functioning.

LIMITATIONS

The post-hoc and cross-sectional design do not allow for prognostic or causal inferences.

CONCLUSIONS

Key depressive and (hypo)manic symptoms distinctively associate with worse functional outcome in acute depression, with differential diagnostic-specific magnitude of effect. Core depressive symptoms are associated with worse functioning in unipolar depression, but not in bipolar or first-episode depression.

Alcohol Consumption and Bipolar Disorder in a Colombian Population Sample

BACKGROUND

Bipolar disorder (BD) is reported to be the mental disorder with the highest rate of comorbidity with substance use disorders (SUD). More than half of patients with BD have been found to have disorders associated with alcohol use.

METHODS

A secondary analysis was performed in a population sample of Colombian adults. The aim was to identify bipolar-alcohol comorbidity and factors related to the use of alcohol in people with BD. The diagnosis of BD among participants was made with the "Composite International Diagnostic Interview" (CIDI-CAPI) and the pattern of alcohol consumption in the last year was evaluated with the AUDIT C screening tool.

RESULTS

It was found that all patients with BD had some type of problematic alcohol consumption pattern. Women with BD were at greater risk of having a dependence-type pattern, using nicotine and marijuana and, among those living in urban areas, had higher rates of suicidal ideation, although that risk was lower if they were in a stable relationship.

DISCUSSION

Some of the related factors we identified are new with respect to previous publications and others have already been described in similar studies.

CONCLUSIONS

Given the importance of such factors in the management of this population and their prognosis, these findings highlight the need to determine consumption patterns of alcohol and other substances in patients with BD.

Similarly in depression, nuances of gut microbiota: Evidences from a shotgun metagenomics sequencing study on major depressive disorder versus bipolar disorder with current major depressive episode patients

BACKGROUND

To probe the differences of gut microbiota among major depressive disorder (MDD), bipolar disorder with current major depressive episode (BPD) and health participants.

METHODS

Thirty one MDD patients, thirty BPD patients, and thirty healthy controls (HCs) were recruited. All the faecal samples were analyzed by shotgun metagenomics sequencing. Except for routine analyses of alpha diversity, we specially designed a new indicator, the G_m coefficient, to evaluate the inequality of relative abundances of microbiota for each participant.

RESULTS

The G_m coefficients are significant decreased in both MDD and BPD groups. The relative abundances of increased phyla Firmicutes and Actinobacteria and decreased Bacteroidetes were significantly in the MDD and BPD groups. At genus level, four of top five enriched genera (Bacteroides, Clostridium, Bifidobacterium, Oscillibacter and Streptococcus) were found increased significantly in the MDD and BPD groups compared with HCs. The genera Escherichia and Klebsiella showed significant changes in abundances only between the BPD and HC groups. At the species level, compared with BPD patients, MDD patients had a higher abundance of Prevotellaceae including Prevotella denticola F0289, Prevotella intermedia 17, Prevotella ruminicola, and Prevotella intermedia. Furthermore, the abundance of Fusobacteriaceae, Escherichia blattae DSM 4481 and Klebsiella oxytoca were significantly increased, whereas the Bifidobacterium longum subsp. infantis ATCC 15697 = JCM 1222 was significantly reduced in BPD group compared with MDD group.

CONCLUSIONS

Our study suggested that gut microbiota may be involved in the pathogenesis of both MDD and BPD patients, and the nuances of bacteria may have the potentiality of being the biomarkers of MDD and BPD.

Development of a Novel Staging Model for Affective Disorders Using Partial Least Squares Bootstrapping: Effects of Lipid-Associated Antioxidant Defenses and Neuro-Oxidative Stress

Although, staging models gained momentum to stage define affective disorders, no attempts were made to construct mathematical staging models using clinical and biomarker data in patients with major depression and bipolar disorder. The aims of this study were to use clinical and biomarker data to construct statistically derived staging models, which are associated with early lifetime traumata (ELTs), affective phenomenology, and biomarkers. In the current study, 172 subjects participated, 105 with affective disorders (both bipolar and unipolar) and 67 controls. Staging scores were computed by extracting latent vectors (LVs) from clinical data including ELTs, recurring flare ups and suicidal behaviors, outcome data such as disabilities and health-related quality of life (HR-QoL), and paraoxonase (PON)1 actvities and nitro-oxidative stress biomarkers. Recurrence of episodes and suicidal behaviors could reliably be combined into a LV with adequate composite reliability (the "recurrence LV"), which was associated with female sex, the combined effects of multiple ELTs, disabilities, HR-QoL, and impairments in cognitive tests. All those factors could be combined into a reliable "ELT-staging LV" which was significantly associated with nitro-oxidative stress biomarkers. A reliable LV could be extracted from serum PON1 activities, recurrent flare ups, disabilities, and HR-QoL. Our ELT-staging index scores the severity of a relevant affective dimension, shared by both major depression and bipolar disorder, namely the trajectory from ELTs, a relapsing course, and suicidal behaviors to progressive disabilities. Patients were classified into three stages, namely an early stage, a relapse-regression stage, and a suicidal-regression stage. Lowered lipid-associated antioxidant defenses may be a drug target to prevent the transition from the early to the later regression stages.

Trends in Serious Psychological Distress and Outpatient Mental Health Care of US Adults

IMPORTANCE

Reports of a recent increase in US outpatient mental health care raise questions about whether it has been driven by rising rates of psychological distress and whether mental health treatment has become either more or less focused on people with higher levels of distress.

OBJECTIVE

To characterize national trends in serious psychological distress and trends in outpatient mental health service use by adults with and without serious psychological distress.

DESIGN, SETTING, AND PARTICIPANTS

The 2004-2005, 2009-2010, and 2014-2015 Medical Expenditure Panel Surveys (MEPS) were nationally representative surveys taken in US households. The analysis was limited to participants 18 years or older. Dates of this analysis were February 2018 to April 2018.

MAIN OUTCOMES AND MEASURES

Annual national trends in the percentages of adults with serious psychological distress (Kessler 6 scale score ≥13), outpatient mental health service use (outpatient visit with a mental disorder diagnosis, psychotherapy visit, or psychotropic medication), and type of psychotropic medication use (antidepressants, anxiolytics/sedatives, antipsychotics, mood stabilizers, and stimulants). Age- and sex-adjusted odds ratios of the associations of survey period with the odds of serious psychological distress, outpatient mental health service use, and outpatient mental health service use were stratified by level of psychological distress.

RESULTS

The analysis involved 139 862 adult participants from the 2004-2005, 2009-2010, and 2014-2015 MEPS, including 51.67% women, 48.33% men, 67.11% white adults, and 32.89% nonwhite adults, with an overall mean (SE) age of 46.41 (0.14) years. Serious psychological distress declined overall from 4.82% (2004-2005) to 3.71% (2014-2015), including significant declines among young (3.94% to 3.07%), middle-aged (5.52% to 4.36%), and older adults (5.24% to 3.79%); men (3.94% to 3.09%) and women (5.64% to 4.29%); and major racial/ethnic groups (white, 4.52% to 3.82%; African American, 5.12% to 3.64%; Hispanic, 6.03% to 3.55%; and other, 5.22% to 3.26%). Overall, the percentage of adults receiving any outpatient mental health service increased from 19.08% (2004-2005) to 23.00% (2014-2015) (adjusted odds ratio, 1.25; 95% CI, 1.17-1.34). Although the proportionate increase in outpatient mental health service use for adults with serious psychological distress (54.17% to 68.40%) was larger than that for adults with less serious or no psychological distress (17.26% to 21.08%), the absolute increase in outpatient mental health service use was almost completely the result of growth in outpatient mental health service use by individuals with less serious or no psychological distress.

CONCLUSIONS AND RELEVANCE

The recent increase in outpatient mental health service use occurred during a period of decline in serious psychological distress. Adults with less serious psychological distress accounted for most of the absolute increase in outpatient mental health service use, while adults with serious psychological distress experienced a greater relative increase in outpatient mental health service use.

Clinical features of differential diagnosis between unipolar and bipolar depression in a drug-free sample of young adults

INTRODUCTION

Subjects with bipolar disorder suffering of a depressive episode are frequently misdiagnosed as unipolar depression, being important studies assessing the differential diagnosis between bipolar and unipolar depression.

OBJECTIVE

To assess the sociodemographic and clinical features of drug-free young adults in a depressive episode of bipolar or unipolar disorder in order to identify factors that may differentiate these psychiatric conditions.

METHODS

This is a cross-sectional study with 241 young adults aged between 18 and 29 years who were evaluated using the Structured Clinical Interview for DSM-IV (SCID). The sample comprised patients with BD (n = 89) and major depressive disorder (n = 152), experiencing a depressive episode and not using psychoactive drugs or illicit psychoactive substances.

RESULTS

The characteristics associated with bipolar depression were being male (p < 0.001), with a family history of BD (p = 0.013), a higher frequency of childhood traumatic experiences (p = 0.001), younger age of onset of mood disorder (p = 0.004), many previous depressive episodes (p = 0.027), greater severity of depressive symptoms (p < 0.001) and day/night reversal (p = 0.013). Those with unipolar depression showed a higher frequency of biological rhythm disturbances (p < 0.001), and diurnal preference (p = 0.028).

LIMITATIONS

The sample has not included subjects with severe suicide risk, a possible important marker in differentiate unipolar from bipolar depression.

CONCLUSION

Some clinical aspects may contribute to an early differential diagnosis of both bipolar and unipolar depression even in the initial stages of the disease.

High Frequency of Bipolar Disorder Comorbidity in Medical Inpatients

Objective: Bipolar disorder is a severe, disabling, and recurring disorder. Some studies have shown that the frequency of bipolar disorder in patients with medical diseases is higher than healthy controls. The aim of this study was to investigate the frequency of bipolar disorders in medically ill patients hospitalized in Iranian general hospitals. Method : In this cross sectional study, 697 inpatients (342 men, 49.1%) from different wards of 3 general hospitals, with the mean age of 39.3+-10, were enrolled in the study using nonprobability sampling. Demographic questionnaire, Mood Disorder Questionnaire (MDQ) and Bipolar Spectrum Diagnostic Scale (BSDS) were used. Inclusion criteria were as follow: informed consent, age 18-65 years, ability to speak Persian, and having at least middle school education. Results: The frequency of bipolar disorder was 12.1% and 20.8% based on BSDS and MDQ, respectively. The results of both tests were positive in 7.9% of hospitalized patients. The frequency of bipolar mood disorder was significantly higher in single patients and in those with comorbidity of alcohol and substance use disorders. Conclusion: Considering the high frequency of bipolar mood disorders in hospitalized medically ill patients and its probable effects on compliance and prognosis, early screening, diagnosis, and treatment of bipolar mood disorders is important in these patients.

Sociodemographic characteristics of adult Saudi patients with mood disorder subtypes

Background:

The demographic profile and clinical manifestations of mood disorder subtypes can differ across regions; however, there is a lack of studies from Saudi Arabia on the sociodemographic characteristics of adult Saudi patients with mood disorder subtypes.

Objective:

The study aims to explore the sociodemographic profile of adult Saudi patients with different types of mood disorders.

Methods:

This retrospective study analyzed the data of all adult Saudi patients (aged ≥18 years) who were diagnosed with a mood disorder and attended the psychiatric outpatient clinic at King Fahd Hospital of the University (KFHU), Al Khobar, Saudi Arabia, between 1982 and 2011. Patients with psychiatric comorbidity were not included in the analyses. Major depressive disorder (depression), bipolar disorder, adjustment disorder and dysthymia were the four subtypes of mood disorder identified in the sample, and all eligible patients were categorized accordingly.

Results:

A total of 340 patients were included in this study. Slightly less than half (42.4%) the study population were aged 18–30 years. Further, 58% of the patients were females, 67.6% were married and 58.8% were unemployed. Depression was the most common mood disorder (~73%). Of the patients with bipolar disorder (n = 38), more than half were male and aged 18–30 years (~58% each); these percentages were higher than that observed in other subtypes.

Conclusion:

This study found that among patients at KFHU, depression is the most common mood disorder and that most patients are females. In contrast, bipolar disorder is more common among males. Further in-depth studies in a larger sample size may provide better patient profiling, which can be used for developing effective screening programs.

Bipolar features in major depressive disorder: Results from the Iranian mental health survey (IranMHS)

BACKGROUND

Past research suggests that individuals suffering from depressive disorders with bipolar features might have different clinical outcomes resembling bipolar disorders. The objectives of this study are to determine the prevalence of bipolar features among individuals meeting the criteria for 12-month major depressive disorder (MDD) in the Iranian population and to examine the demographic and clinical characteristics associated with these features.

METHODS

Data were drawn from the Iranian Mental Health Survey (IranMHS), a representative household survey of the Iranian population aged 15-64 years. The study sample consisted of all individuals with a 12-month MDD (n = 1014) ascertained by the Composite International Diagnostic Interview (CIDI 2.1) without a lifetime history of bipolar I or II disorders. Mood Disorder Questionnaire (MDQ) was used to screen for the lifetime history of bipolar features among participants with MDD.

RESULTS

Among participants meeting the 12-month MDD criteria, 22.1% (95% CI: 19.6-24.7) had a lifetime history of bipolar features. Compared with those without these features, participants with bipolar features had higher odds of endorsing suicidal ideations and suicide attempts, comorbid anxiety and substance use disorders, severe impairment, history of psychotic symptoms, some features of atypical depression and fewer depressive symptoms. Associations with comorbid anxiety disorders [Odds Ratio (OR) = 1.43; 95% confidence interval (CI): 1.00-2.03] and history of psychotic symptoms (OR = 2.63 95% CI: 1.81-3.81) persisted in multivariable models.

LIMITATION

Relying on self-reports of lifetime bipolar symptoms which is open to recall bias, and cross-sectional study design which limits interpretation of outcome and course of MDD are two major limitations of this study.

CONCLUSION

The presence of bipolar features is associated with a distinct demographic and clinical profile in MDD. Identifying these cases would enhance the homogeneity of the depressive disorder phenotype in general population surveys. Identifying MDD patients with these features has potential clinical implications.

Assessment of the alcohol consumption among outdoor bar drinkers in Nigeria by qualitative methods

Background

There are indications that drinking in outdoor bars, such as at motor-parks, by the roadsides or street corners have become popular in Nigeria.

Method

Three sets of qualitative assessments were carried out from three outdoor bars, randomly selected from 22 of such in Ibadan, Nigeria. The main sources of data were by direct observation and focus group discussion (FGD), conducted by a non-probabilistic sample of outdoor bar drinkers, alcohol vendors and from community members. The qualitative assessments were recorded, followed by a thematic analysis of the contents of the qualitative assessments.

Results

Widespread use of alcohol was reported. Patrons of outdoor bars reported that their context of drinking was pleasurable to them. Use of local beverages usually called ‘sepe’ is increasing. The majority of them do not have adequate health information about the harmful consequences of alcohol. Alcohol and other substances of abuse were openly displayed, sold and consumed at the study sites. There were poor law provision and enforcement of laws prohibiting open display of alcohol and other substances.

Conclusion

A high proportion of social drinkers in outdoor bars require intervention for their drinking behaviour. This is important because they have little or no information about the health hazards associated with excessive drinking. Presentation of these findings should contribute to increased awareness and improved response from the policy makers.

Are there differences in lipid peroxidation and immune biomarkers between major depression and bipolar disorder: Effects of melancholia, atypical depression, severity of illness, episode number, suicidal ideation and prior suicide attempts

BACKGROUND

There is evidence that major depression (MDD) and bipolar disorder (BD) are accompanied by activated immune & oxidative (I&O) pathways.

METHODS

To compare I&O biomarkers between MDD and BD we assessed serum levels of thiobarbituric acid reactive substances (TBARS; a lipid peroxidation marker), soluble interleukin-2 receptor (sIL-2R), sIL-6R, IL-α, sIL-1R antagonist (sIL-1RA), tumor necrosis factor receptor 60kDa/80kDa (sTNFR60/R80) in 114 MDD and 133 BD patients, and 50 healthy controls. We computed z-unit weighted indices reflecting the 5 cytokine receptor levels (zCytR), cell-mediated immunity (zCMI) and I&O pathways (zCMI+TBARS).

RESULTS

There are no significant differences in biomarkers between MDD and BD. BD/MDD with atypical features is characterized by increased sIL-6R and TBARS, whereas melancholia is associated with higher TBARS and lower sTNFR60 levels. Severity of illness, as measured with the Hamilton Depression Rating Scale, is correlated with increased sIL-6R, sTNFR80, TBARS, zCytR and zCMI+TBARS. The number of episodes the year prior to blood sampling is positively associated with sTNFR80, TBARS, zCMI, zCMI+TBARS, while number of hospitalizations is positively associated with sIL-1RA. Prior suicidal attempts are associated with increased sIL-1RA, IL-1α, zCMI, TBARS and zCMI+TBARS, while TBARS is associated with current suicidal ideation.

CONCLUSIONS

There are no I&O biomarker differences between MDD and BD. Atypical depression is associated with increased IL-6 trans-signaling and lipid peroxidation. Severity of depression, number of episodes and suicidal attempts are associated with activated I&O pathways. Increased TBARS is the single best predictor of BD/MDD, atypical depression, melancholia and current suicidal ideation.

Differential failure to deactivate the default mode network in unipolar and bipolar depression

OBJECTIVES

Neuroimaging studies have revealed evidence of brain functional abnormalities in bipolar depressive disorder (BDD) and major depressive disorder (MDD). However, few studies to date have compared these two mood disorders directly.

METHODS

Matched groups of 26 BDD type I patients, 26 MDD patients and 26 healthy controls underwent functional magnetic resonance imaging (fMRI) while performing the n-back working memory task. A whole-brain ANOVA was used to compare the three groups and clusters of significant difference were examined further using region-of-interest (ROI) analysis.

RESULTS

The whole-brain ANOVA revealed a single cluster of significant difference in the medial frontal cortex. The BDD and MDD patients both showed failure to deactivate in this area compared to the controls. The BDD patients showed significantly greater failure of deactivation than the MDD patients, which was not accounted for by differences in severity or chronicity of illness between them.

CONCLUSIONS

Failure of deactivation, considered to reflect default mode network dysfunction, is present to a greater extent in bipolar than unipolar depression. The study of this network may be useful in the search for brain markers that distinguish the two disorders.

The Andalusian Bipolar Family (ABiF) Study: Protocol and sample description

INTRODUCTION

Here, we present the first description of the Andalusian Bipolar Family (ABiF) Study. This longitudinal investigation of families from Andalusia, Spain commenced in 1997 with the aim of elucidating the molecular genetic causes of bipolar affective disorder. The cohort has since contributed to a number of key genetic findings, as reported in international journals. However, insight into the genetic underpinnings of the disorder in these families remains limited.

METHOD

In the initial 1997-2003 study phase, 100 multiplex bipolar disorder and other mood disorder families were recruited. The ongoing second phase of the project commenced in 2013, and involves follow-up of a subgroup of the originally recruited families. The aim of the follow-up investigation is to generate: i) longitudinal clinical data; ii) results from detailed neuropsychological assessments; and iii) a more extensive collection of biomaterials for future molecular biological studies.

RESULTS

The ABiF Study will thus generate a valuable resource for future investigations into the aetiology of bipolar affective disorder; in particular the causes of high disease loading within multiply affected families.

DISCUSSION

We discuss the value of this approach in terms of new technologies for the identification of high-penetrance genetic factors. These new technologies include exome and whole genome sequencing, and the use of induced pluripotent stem cells or model organisms to determine functional consequences.

Epidemiology of DSM-5 bipolar I disorder: Results from the National Epidemiologic Survey on Alcohol and Related Conditions - III

BACKGROUND

The objective of this study was to present 12-month and lifetime prevalence, correlates, comorbidity, treatment and disability of DSM-5 bipolar I disorder.

METHODS

Nationally representative U.S. adult sample (N = 36,309), the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions - III.

RESULTS

Prevalences of 12-month and lifetime DSM-5 bipolar I disorder were 1.5% and 2.1% and did not differ between men (1.6% and 2.2%) and women (1.5% and 2.0%). Prevalences of bipolar I disorder were greater among Native Americans, and lower among Blacks, Hispanics and Asians/Pacific Islanders than whites. Rates were also lower among younger than older individuals, those previously married than currently married and with lower education and income relative to higher education and income. Bipolar I disorder was more strongly related to borderline and schizotypal personality disorders (adjusted odds ratios (AORS) = 2.2-4.7)), than to anxiety disorders (AORs = 1.3-2.9), and substance use disorders (AORs = 1.3-2.1) overall and among men and women. Quality of life was lower among individuals with bipolar I disorder relative to those without the disorder. Treatment rates among individuals with bipolar I disorder were low in the total sample (46%, SE = 2.63), among men (36.7%, SE = 3.82) and among women (55.8%, SE = 3.32).

CONCLUSIONS

Bipolar I disorder continues to be common disabling and highly comorbid disorder among men and women, contributing substantially to low quality of life and burden of disease in our society.

Treatment of Functional Impairment in Patients with Bipolar Disorder

Traditionally, functional impairment has received little attention in bipolar disorder, despite the fact that many patients experience significant impairments in daily life. In the last decade, research has changed its focus from clinical remission to functional recovery in bipolar patients as a priority. A literature review of this topic will allow us provide an overview of the relevance of functional impairment as well as the potential factors that can predict or contribute to low functioning in bipolar disorder (BD). Treatment approaches should consider not only euthymia as a goal but also cognitive and functional improvement of patients with such a complex disorder. Functional remediation and psychoeducation among psychological interventions may help to enhance functioning. The combination of cognitive enhancers and cognitive/functional remediation programs may help in improving cognitive and functional impairments. Early interventions are essential to prevent cognitive deficits and disability.

Differences in symptom expression between unipolar and bipolar spectrum depression: Results from a nationally representative sample using item response theory (IRT)

BACKGROUND

The inclusion of subsyndromal forms of bipolarity in the fifth edition of the DSM has major implications for the way in which we approach the diagnosis of individuals with depressive symptoms. The aim of the present study was to use methods based on item response theory (IRT) to examine whether, when equating for levels of depression severity, there are differences in the likelihood of reporting DSM-IV symptoms of major depressive episode (MDE) between subjects with and without a lifetime history of manic symptoms.

METHODS

We conducted these analyses using a large, nationally representative sample from the USA (n=34,653), the second wave of the National Epidemiologic Survey on Alcohol and Related Conditions.

RESULTS

The items sadness, appetite disturbance and psychomotor symptoms were better indicators of depression severity in participants without a lifetime history of manic symptoms, in a clinically meaningful way. DSM-IV symptoms of MDE were substantially less informative in participants with a lifetime history of manic symptoms than in those without such history.

LIMITATIONS

Clinical information on DSM-IV depressive and manic symptoms was based on retrospective self-report

CONCLUSIONS

The clinical presentation of depressive symptoms may substantially differ in individuals with and without a lifetime history of manic symptoms. These findings alert to the possibility of atypical symptomatic presentations among individuals with co-occurring symptoms or disorders and highlight the importance of continued research into specific pathophysiology differentiating unipolar and bipolar depression.

[Differences in Subjective Experience Between Unipolar and Bipolar Depression]

INTRODUCTION

It is important to make distinction between bipolar and unipolar depression because treatment and prognosis are different. Since the diagnosis of the two conditions is purely clinical, find symptomatic differences is useful.

OBJECTIVES

Find differences in subjective experience (first person) between unipolar and bipolar depression.

METHODS

Phenomenological-oriented qualitative exploratory study of 12 patients (7 with bipolar depression and 5 with unipolar depression, 3 men and 9 women). We used a semi-structured interview based on Examination of Anomalous Self-Experience (EASE).

RESULTS

The predominant mood in bipolar depression is emotional dampening, in unipolar is sadness. The bodily experience in bipolar is of a heavy, tired body; an element that inserts between the desires of acting and performing actions and becomes an obstacle to the movement. In unipolar is of a body that feels more comfortable with the stillness than activity, like laziness of everyday life. Cognition and the stream of consciousness: in bipolar depression, compared with unipolar, thinking is slower, as if to overcome obstacles in their course. There are more difficult to understand what is heard or read. Future perspective: in bipolar depression, hopelessness is stronger and broader than in unipolar, as if the very possibility of hope was lost.

CONCLUSIONS

Qualitative differences in predominant mood, bodily experience, cognition and future perspective were found between bipolar and unipolar depression.

Differential endorsement of suicidal ideation and attempt in bipolar versus unipolar depression: a testlet response theory analysis

BACKGROUND

Published data concerning differences in suicide risk across the mood disorders spectrum remain mixed. The current study used testlet response theory methods to evaluate differences in the endorsement of suicidal ideation and attempt in an epidemiological sample of individuals with bipolar and unipolar depression.

METHOD

Participants with lifetime history of bipolar I (n=1154), bipolar II (n=494), and unipolar (n=5695) depression were drawn from the National Epidemiologic Survey on Alcohol and Related Conditions, which included 4 structured queries concerning suicidal ideation/attempt. We estimated differential item functioning between groups with a 2-pl parametric item response model.

RESULTS

Endorsement of suicide items increased as a function of underlying depression severity. Equating for severity, endorsement of suicidal ideation and attempt was generally more frequent in bipolar versus unipolar depression, and in bipolar I versus bipolar II depression. Yet findings were not consistent across all suicide items, and differences were small in magnitude.

LIMITATIONS

The NESARC relied upon lifetime endorsement of suicide items, and suicide risk was only evaluated within the context of a major depressive episode. Thus, this study could not evaluate endorsement of suicide items within the context of (hypo)manic or mixed states.

CONCLUSION

Although there were some group differences, patterns of item endorsement were more similar than different. These data support a transdiagnostic model of suicide that emphasizes underlying depression severity over mood disorder class.

Electrophysiological correlates of bilateral and unilateral repetitive transcranial magnetic stimulation in patients with bipolar depression

Repetitive transcranial magnetic stimulation (rTMS) has been demonstrated to have efficacy in the treatment of unipolar depression but limited research has explored the efficacy of rTMS in bipolar depression. Therefore, we conducted a comparative clinical trial evaluating clinical responses to prefrontal bilateral and unilateral rTMS in patients suffering from bipolar depression. We hypothesized that, 1) the response to the treatment would be associated with a decrease in the frequency of beta waves, 2) bilateral stimulation of the cortex would bring about more extensive changes in brain activity than unilateral stimulation, and 3) bilateral stimulation is more effective than unilateral. Thirty patients with bipolar depression were divided into two groups. Bilateral Group (n=15) who received rTMS in the left DLPFC (10Hz) and right DLPFC (1-Hz), and unilateral group (n=15) who received the stimulation only in the right DLPFC (1-Hz) during 20 treatment sessions. The proportion of responders in the bilateral stimulation group was significantly higher than that in the unilateral group [80% versus 47%]. The remission rate was 40% in the bilateral group and 40% in the unilateral group (not significant). In the responders to bilateral rTMS treatment, a significant reduction of alpha1-2, beta 1-3, and gamma frequencies were observed in medial and superior frontal and cingulate gyrus . Responders to the unilateral treatment showed decrease of gamma frequency in postcentral gyrus, precuneus, superior and inferior parietal lobule, Cuneus and angular gyrus. In conclusion, we found that bilateral stimulation was more effective than the unilateral stimulation and evidence that beta frequency activity could possibly be used as a marker for response to rTMS.

Evidence-based guidelines for treating bipolar disorder: Revised third edition recommendations from the British Association for Psychopharmacology

The British Association for Psychopharmacology guidelines specify the scope and targets of treatment for bipolar disorder. The third version is based explicitly on the available evidence and presented, like previous Clinical Practice Guidelines, as recommendations to aid clinical decision making for practitioners: it may also serve as a source of information for patients and carers, and assist audit. The recommendations are presented together with a more detailed review of the corresponding evidence. A consensus meeting, involving experts in bipolar disorder and its treatment, reviewed key areas and considered the strength of evidence and clinical implications. The guidelines were drawn up after extensive feedback from these participants. The best evidence from randomized controlled trials and, where available, observational studies employing quasi-experimental designs was used to evaluate treatment options. The strength of recommendations has been described using the GRADE approach. The guidelines cover the diagnosis of bipolar disorder, clinical management, and strategies for the use of medicines in short-term treatment of episodes, relapse prevention and stopping treatment. The use of medication is integrated with a coherent approach to psychoeducation and behaviour change.

Effects on health-related quality of life in patients treated with lurasidone for bipolar depression: results from two placebo controlled bipolar depression trials

BACKGROUND

Depressive symptoms associated with bipolar disorder negatively impact health-related quality of life (HRQoL). The efficacy of lurasidone in reducing depressive symptoms has been previously demonstrated. The objective of this study was to examine the direct and indirect effect (mediated through improvement in depression symptoms) of lurasidone in improving patient HRQoL.

METHODS

A secondary analysis of data was conducted of two 6-week, double-blind, placebo-controlled trials assessing the effect of lurasidone (lurasidone monotherapy [20-60 mg/day or 80-120 mg/day]; lurasidone adjunctive to lithium or valproate [20-120 mg/day]) in patients with bipolar depression. Patient HRQoL was measured using the Quality of Life Enjoyment and Satisfaction Questionnaire Short Form (Q-LES-Q SF). Depression symptoms were measured using the Montgomery-Asberg Depression Rating Scale (MADRS). Analysis of covariance (ANCOVA) was used to estimate the effect of lurasidone on improvement in the Q-LES-Q SF percentage maximum score from baseline to 6 weeks. Path analysis was used to evaluate the total effect (β1), as well as the indirect (β2*β3) and direct (β4) effect of lurasidone on Q-LES-Q SF change through improvements in MADRS.

RESULTS

A total of 340 and 485 patients from the monotherapy and adjunctive therapy, respectively, were included in the analysis. At 6-weeks, ANCOVA analyses demonstrated that lurasidone provided significant improvement in adjusted mean Q-LES-Q SF scores in comparison to placebo for monotherapy (22.9 and 22.7 vs. 15.2, both p < 0.01) and adjunctive therapy (23.1 vs. 17.9, p = 0.01). Path analyses indicated that lurasidone treatment predicted MADRS improvement (monotherapy: β2 = -0.44, p < 0.001; adjunctive therapy: β2 = -0.34, p = 0.003), which subsequently predicted improvement in Q-LES-Q SF (monotherapy: β3 = -0.73, p < 0.001; adjunctive therapy: β3 = -0.75, p < 0.001); however, the effect of lurasidone on improvement in Q-LES-Q SF was largely mediated by change in MADRS (monotherapy: β4 = 0.11, p = 0.13; adjunctive therapy: β4 = 0.02, p = 0.77).

CONCLUSIONS

Lurasidone as a monotherapy and adjunctive to lithium or valproate is an effective treatment for improving HRQoL in patients with bipolar depression. However, improvement in HRQoL was not independent of improvement in depression, indicating that the effect of lurasidone on improving patient HRQoL may act through a reduction in depressive symptoms associated with bipolar disorder.

TRIAL REGISTRATION

Clinicaltrials.gov identifiers: NCT00868699 and NCT00868452 (both registered March 23, 2009).

The Bipolar II Depression Questionnaire: A Self-Report Tool for Detecting Bipolar II Depression

Bipolar II (BP-II) depression is often misdiagnosed as unipolar (UP) depression, resulting in suboptimal treatment. Tools for differentiating between these two types of depression are lacking. This study aimed to develop a simple, self-report screening instrument to help distinguish BP-II depression from UP depressive disorder. A prototype BP-II depression questionnaire (BPIIDQ-P) was constructed following a literature review, panel discussions and a field trial. Consecutively assessed patients with a diagnosis of depressive disorder or BP with depressive episodes completed the BPIIDQ-P at a psychiatric outpatient clinic in Hong Kong between October and December 2013. Data were analyzed using discriminant analysis and logistic regression. Of the 298 subjects recruited, 65 (21.8%) were males and 233 (78.2%) females. There were 112 (37.6%) subjects with BP depression [BP-I = 42 (14.1%), BP-II = 70 (23.5%)] and 182 (62.4%) with UP depression. Based on family history, age at onset, postpartum depression, episodic course, attacks of anxiety, hypersomnia, social phobia and agoraphobia, the 8-item BPIIDQ-8 was constructed. The BPIIDQ-8 differentiated subjects with BP-II from those with UP depression with a sensitivity/specificity of 0.75/0.63 for the whole sample and 0.77/0.72 for a female subgroup with a history of childbirth. The BPIIDQ-8 can differentiate BP-II from UP depression at the secondary care level with satisfactory to good reliability and validity. It has good potential as a screening tool for BP-II depression in primary care settings. Recall bias, the relatively small sample size, and the high proportion of females in the BP-II sample limit the generalization of the results.

Psychotherapeutic Treatment of Bipolar Depression

The gold standard for treating bipolar depression is based on the combination of mood stabilizers and psychotherapy. Therefore, the authors present evidence-based models and promising approaches for psychotherapy for bipolar depression. Cognitive-behavioral therapy, family focused therapy, interpersonal and social rhythm therapy, mindfulness-based cognitive therapy, and dialectical behavior therapy are discussed. Behavioral activation, the cognitive behavioral analysis system of psychotherapy, and the unified protocol as promising future directions are presented. This review informs medical providers of the most appropriate referral guidelines for psychotherapy for bipolar depression. The authors conclude with a decision tree delineating optimal referrals to each psychotherapy approach.

Royal Australian and New Zealand College of Psychiatrists clinical practice guidelines for mood disorders

OBJECTIVES

To provide guidance for the management of mood disorders, based on scientific evidence supplemented by expert clinical consensus and formulate recommendations to maximise clinical salience and utility.

METHODS

Articles and information sourced from search engines including PubMed and EMBASE, MEDLINE, PsycINFO and Google Scholar were supplemented by literature known to the mood disorders committee (MDC) (e.g., books, book chapters and government reports) and from published depression and bipolar disorder guidelines. Information was reviewed and discussed by members of the MDC and findings were then formulated into consensus-based recommendations and clinical guidance. The guidelines were subjected to rigorous successive consultation and external review involving: expert and clinical advisors, the public, key stakeholders, professional bodies and specialist groups with interest in mood disorders.

RESULTS

The Royal Australian and New Zealand College of Psychiatrists clinical practice guidelines for mood disorders (Mood Disorders CPG) provide up-to-date guidance and advice regarding the management of mood disorders that is informed by evidence and clinical experience. The Mood Disorders CPG is intended for clinical use by psychiatrists, psychologists, physicians and others with an interest in mental health care.

CONCLUSIONS

The Mood Disorder CPG is the first Clinical Practice Guideline to address both depressive and bipolar disorders. It provides up-to-date recommendations and guidance within an evidence-based framework, supplemented by expert clinical consensus.

MOOD DISORDERS COMMITTEE

Professor Gin Malhi (Chair), Professor Darryl Bassett, Professor Philip Boyce, Professor Richard Bryant, Professor Paul Fitzgerald, Dr Kristina Fritz, Professor Malcolm Hopwood, Dr Bill Lyndon, Professor Roger Mulder, Professor Greg Murray, Professor Richard Porter and Associate Professor Ajeet Singh.

INTERNATIONAL EXPERT ADVISORS

Professor Carlo Altamura, Dr Francesco Colom, Professor Mark George, Professor Guy Goodwin, Professor Roger McIntyre, Dr Roger Ng, Professor John O'Brien, Professor Harold Sackeim, Professor Jan Scott, Dr Nobuhiro Sugiyama, Professor Eduard Vieta, Professor Lakshmi Yatham.

AUSTRALIAN AND NEW ZEALAND EXPERT ADVISORS

Professor Marie-Paule Austin, Professor Michael Berk, Dr Yulisha Byrow, Professor Helen Christensen, Dr Nick De Felice, A/Professor Seetal Dodd, A/Professor Megan Galbally, Dr Josh Geffen, Professor Philip Hazell, A/Professor David Horgan, A/Professor Felice Jacka, Professor Gordon Johnson, Professor Anthony Jorm, Dr Jon-Paul Khoo, Professor Jayashri Kulkarni, Dr Cameron Lacey, Dr Noeline Latt, Professor Florence Levy, A/Professor Andrew Lewis, Professor Colleen Loo, Dr Thomas Mayze, Dr Linton Meagher, Professor Philip Mitchell, Professor Daniel O'Connor, Dr Nick O'Connor, Dr Tim Outhred, Dr Mark Rowe, Dr Narelle Shadbolt, Dr Martien Snellen, Professor John Tiller, Dr Bill Watkins, Dr Raymond Wu.

The National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) Waves 1 and 2: review and summary of findings

PURPOSE

The NESARC, a "third-generation" psychiatric epidemiologic survey that integrated detailed measures of alcohol and drug use and problems has been the data source for over >850 publications. A comprehensive review of NESARC findings and their implications is lacking.

METHOD

NESARC was a survey of 43,093 participants that covered alcohol, drug and psychiatric disorders, risk factors, and consequences. Wave 1 of the NESARC was conducted in 2001-2002. Three years later, Wave 2 follow-up re-interviews were conducted with 34,653 of the original participants. Scopus and Pubmed were used to search for NESARC papers, which were sorted into topic areas and summarized.

RESULT

The most common disorders were alcohol and posttraumatic stress disorders, and major depression. Females had more internalizing disorders and males had more externalizing disorders, although the preponderance of males with alcohol disorders (the "gender gap") was less pronounced than it was in previous decades. A race/ethnic "paradox" (lower risk among disadvantaged minorities than whites) remains unexplained. Younger participants had higher risk for substance and personality disorders, but not unipolar depressive or anxiety disorders. Psychiatric comorbidity was extensive and often formed latent trans-diagnostic domains. Since 1991-1992, risk for marijuana and prescription drug disorders increased, while smoking decreased, although smoking decreases were less pronounced among those with comorbidity. A nexus of comorbidity, social support, and stress predicted transitions in diagnostic status between Waves 1 and 2. Childhood maltreatment predicted psychopathology. Alcohol and drug use disorders were seldom treated; attitudinal barriers (little perceived need, perceived alcoholism stigma, pessimism about efficacy) were more important in predicting non-treatment than financial barriers.

CONCLUSIONS

Understanding comorbidity and the effects of early stressors will require research incorporating biologic components, e.g., genetic variants and brain imaging. The lack of treatment for alcohol and drug disorders, predicted by attitudinal rather than financial variables, suggests an urgent need for public and professional education to reduce the stigma associated with these disorders and increase knowledge of treatment options.

Distinguishing bipolar from unipolar depression: the importance of clinical symptoms and illness features

BACKGROUND

Distinguishing bipolar disorder (BP) from major depressive disorder (MDD) has important relevance for prognosis and treatment. Prior studies have identified clinical features that differ between these two diseases but have been limited by heterogeneity and lack of replication. We sought to identify depression-related features that distinguish BP from MDD in large samples with replication.

METHOD

Using a large, opportunistically ascertained collection of subjects with BP and MDD we selected 34 depression-related clinical features to test across the diagnostic categories in an initial discovery dataset consisting of 1228 subjects (386 BPI, 158 BPII and 684 MDD). Features significantly associated with BP were tested in an independent sample of 1000 BPI cases and 1000 MDD cases for classifying ability in receiver operating characteristic (ROC) analysis.

RESULTS

Seven clinical features showed significant association with BPI compared with MDD: delusions, psychomotor retardation, incapacitation, greater number of mixed symptoms, greater number of episodes, shorter episode length, and a history of experiencing a high after depression treatment. ROC analyses of a model including these seven factors showed significant evidence for discrimination between BPI and MDD in an independent dataset (area under the curve = 0.83). Only two features (number of mixed symptoms, and feeling high after an antidepressant) showed an association with BPII versus MDD.

CONCLUSIONS

Our study suggests that clinical features distinguishing depression in BPI versus MDD have important classification potential for clinical practice, and should also be incorporated as 'baseline' features in the evaluation of novel diagnostic biomarkers.

Probability and predictors of treatment-seeking for substance use disorders in the U.S

BACKGROUND

Little is known about to what extent treatment-seeking behavior varies across individuals with alcohol abuse, alcohol dependence, drug abuse, and drug dependence.

METHODS

The sample included respondents from the Wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) who reported a lifetime diagnosis alcohol abuse, alcohol dependence, drug abuse, or drug dependence. Unadjusted and adjusted hazard ratios are presented for time to first treatment contact by sociodemographic characteristics and comorbid psychiatric disorders. Individuals were censored from the analyses if their condition remitted prior to seeking treatment.

RESULTS

In the first year after disorder onset, rates of treatment-seeking were 13% for drug dependence, 5% for alcohol dependence, 2% for drug abuse, and 1% for alcohol abuse. The lifetime probability of seeking treatment among individuals who did not remit was also highest for drug dependence (90%), followed by drug abuse (60%), alcohol dependence (54%), and alcohol abuse (16%). Having had previous treatment contact for a substance use disorder (SUD) increased the probability of seeking treatment for another SUD. By contrast, an early age of SUD onset, belonging to an older cohort, and a higher level of education decreased the lifetime probability of treatment contact for SUD. The role of comorbid mental disorders was more complex, with some disorders increasing and other decreasing the probability of seeking treatment.

CONCLUSIONS

Given high rates of SUD and their substantial health and economic burden, these patterns suggest the need for innovative approaches to increase treatment access for individuals with SUD.

Structural invariance of General Behavior Inventory (GBI) scores in Black and White young adults

In the United States, Black and White individuals show discrepant rates of diagnosis of bipolar disorder versus schizophrenia and antisocial personality disorder, as well as disparate access to and utilization of treatment for these disorders (e.g., Alegria, Chatterji, et al., 2008; Chrishon, Anderson, Arora, & Bailey, 2012). Such diagnostic discrepancies might stem from racially related cognitive biases in clinical judgment or from racial biases in measurements of bipolar disorder. The General Behavior Inventory (GBI) is among the most well-validated and widely used measures of bipolar mood symptoms, but the psychometric properties of the GBI have been examined primarily in predominantly White samples. In this study, we used multigroup confirmatory factor analyses (CFA) to examine the invariance of GBI scores across racial groups with a nonclinical sample. Fit was acceptable for tests of configural invariance, equal factor loadings, and equal intercepts, but not invariance of residuals. Findings indicate that GBI scores provide functionally invariant measurement of mood symptoms in both Black and White samples. The use of GBI scores may contribute consistent information to clinical assessments and could potentially reduce diagnostic discrepancies and associated differences in access to and utilization of mental health services.

Psychological changes in alcohol-dependent patients during a residential rehabilitation program

BACKGROUND

Alcohol-dependent patients usually experience negative affects under the influence of alcohol, and these affective symptoms have been shown to decrease as a result of alcohol-withdrawal treatment. A recent cognitive-affective model suggests an interaction between drug motivation and affective symptoms. The aim of this multicenter study was to evaluate the psychological changes in subjects undergoing a residential rehabilitation program specifically designed for alcohol addiction, and to identify at discharge patients with greater affective symptoms and therefore more at risk of relapse.

MATERIALS AND METHODS

The sample included 560 subjects (mean age 46.91±10.2 years) who completed 28-day rehabilitation programs for alcohol addiction, following a tailored routine characterized by short duration and high intensity of medical and psychotherapeutic treatment. The psychological clinical profiles of anxiety, depression, psychological distress, psychological well-being, and self-perception of a positive change were assessed using the Cognitive Behavioral Assessment - Outcome Evaluation questionnaire at the beginning and at the end of the program. The changes in the psychological variables of the questionnaire were identified and considered as outcome evaluation of the residential intervention. Moreover, differences in the psychological functioning between patients with different characteristics were investigated.

RESULTS

The score measured by the Cognitive Behavioral Assessment - Outcome Evaluation showed significant improvements in all the psychological characteristics assessed, and the profile at discharge was within the normal scores. Some significant differences were found in relation to specific characteristics of the sample, such as age, sex, level of education, type of intervention, and polysubstance use.

CONCLUSION

This study shows the changes in psychological profile in subjects undergoing residential rehabilitation from alcohol and how this profile may permit identification of subjects requiring more psychosocial support after discharge.

Risk factors for incidence and persistence of disability in chronic major depression and alcohol use disorders: longitudinal analyses of a population-based study

BACKGROUND

Major depression and alcohol use disorders are risk factors for incidence of disability. However, it is still unclear whether a chronic course of these health conditions is also prospectively associated with incidence of disability. The aim of the present study was, first, to confirm whether chronic major depression (MD) and alcohol use disorders (AUD) are, respectively, risk factors for persistence and incidence of disability in the general population; and then to analyze the role of help-seeking behavior in the course of disability among respondents with chronic MD and chronic AUD.

METHOD

Data from two assessments in the National Epidemiologic Survey on Alcohol and Related Conditions were analyzed. Disability was measured by eight domains of the Short Form 12 Health Survey version 2 (SF-12). Generalized estimating equations and logistic regression models were run to estimate risk factors for persistence and incidence of disability, respectively.

RESULTS

Analyses conducted on data from the US general population showed that chronic MD was the strongest risk factor for incidence and persistence of disability in the social functioning, emotional role and mental health domains. Chronic AUD were risk factors for incidence and persistence of disability in the vitality, social functioning, and emotional role domains. Within the group of chronic MD, physical comorbidity and help-seeking were associated with persistent disability in most of the SF-12 domains. Help-seeking behavior was also associated with incidence of problems in the mental health domain for the depression group. Regarding the AUD group, comorbidity with physical health problems was a strong risk factor for persistence of disability in all SF-12 domains. Help-seeking behavior was not related to either persistence or incidence of disability in the chronic alcohol group.

CONCLUSIONS

Chronic MD and chronic AUD are independent risk factors for persistence and incidence of disability in the US general population. People with chronic MD seek help for their problems when they experience persistent disability, whereas people with chronic AUD might not seek any help even if they are suffering from persistent disability.

Bipolar I and II versus unipolar depression: clinical differences and impulsivity/aggression traits

OBJECTIVE

To investigate distinguishing features between bipolar I, II and unipolar depression, and impulsivity/aggression traits in particular.

METHODS

Six hundred and eighty-five (n=685) patients in a major depressive episode with lifetime Unipolar (UP) depression (n=455), Bipolar I (BP-I) disorder (n=151), and Bipolar II (BP-II) (n=79) disorder were compared in terms of their socio-demographic and clinical characteristics.

RESULTS

Compared to unipolar patients, BP-I and BP-II depressed patients were significantly younger at onset of their first depressive episode, and were more likely to experience their first depressive episode before/at age of 15. They also had more previous affective episodes, more first- and second-degree relatives with history of mania, more current psychotic and subsyndromal manic symptoms, and received psychopharmacological and psychotherapy treatment at an earlier age. Furthermore, BP-I and BP-II depressed patients had higher lifetime impulsivity, aggression, and hostility scores. With regard to bipolar subtypes, BP-I patients had more trait-impulsivity and lifetime aggression than BP-II patients whereas the latter had more hostility than BP-I patients. As for co-morbid disorders, Cluster A and B Personality Disorders, alcohol and substance abuse/dependence and anxiety disorders were more prevalent in BP-I and BP-II than in unipolar patients. Whereas the three groups did not differ on other socio-demographic variables, BP-I patients were significantly more often unemployed that UP patients.

CONCLUSION

Our findings comport with major previous findings on differences between bipolar and unipolar depression. As for trait characteristics, bipolar I and II depressed patients had more life-time impulsivity and aggression/hostility than unipolar patients. In addition, bipolar I and II patients also differed on these trait characteristics.

Clinical risk factors for bipolar disorders: a systematic review of prospective studies

BACKGROUND

Early phases and suspected precursor states of bipolar disorder are not well characterized. We evaluate the prevalence, duration, clinical features and predictive value of non-affective psychopathology as clinical risk factors for bipolar disorder in prospective studies.

METHODS

We screened PubMed, CINAHL, PsycINFO, Embase, SCOPUS, and ISI-Web of Science databases from inception up to January 31, 2014, following PRISMA guidelines (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and searched: bipolar disorder AND [antecedent⁎ OR predict⁎ OR prodrom⁎ OR prospect⁎ OR risk⁎] AND [diagnosis OR development]. We included only English language reports on prospective, longitudinal studies with two structured clinical assessments (intake and follow-up); no DSM intake diagnosis of bipolar-I or -II; diagnostic outcome was bipolar-I or -II. Details of study design, risk factors, and predictive value were tabulated.

RESULTS

We found 16 published reports meeting selection criteria, with varying study design. Despite heterogeneity in methods, findings across studies were consistent. Clinical risk factors of bipolar disorder were early-onset panic attacks and disorder, separation anxiety and generalized anxiety disorders, conduct symptoms and disorder, ADHD, impulsivity and criminal behavior.

LIMITATIONS

Since risk factors identified in some prospective studies are predictive of other conditions besides bipolar disorder, these preliminary findings require replication, and their sensitivity, specificity and predictive value need to be assessed.

CONCLUSIONS

Clinical risk factors for bipolar disorder typically arise years prior to syndromal onset, include anxiety and behavioral disorders with unclear sensitivity and specificity. Prospectively identified clinical risk factors for bipolar disorder are consistent with retrospective and family-risk studies. Combining clinical risk factors with precursors and family-risk may improve early identification and timely and appropriate treatment of bipolar disorder.

Advancing biomarker research: utilizing 'Big Data' approaches for the characterization and prevention of bipolar disorder

OBJECTIVE

To provide a strategic framework for the prevention of bipolar disorder (BD) that incorporates a 'Big Data' approach to risk assessment for BD.

METHODS

Computerized databases (e.g., Pubmed, PsychInfo, and MedlinePlus) were used to access English-language articles published between 1966 and 2012 with the search terms bipolar disorder, prodrome, 'Big Data', and biomarkers cross-referenced with genomics/genetics, transcriptomics, proteomics, metabolomics, inflammation, oxidative stress, neurotrophic factors, cytokines, cognition, neurocognition, and neuroimaging. Papers were selected from the initial search if the primary outcome(s) of interest was (were) categorized in any of the following domains: (i) 'omics' (e.g., genomics), (ii) molecular, (iii) neuroimaging, and (iv) neurocognitive.

RESULTS

The current strategic approach to identifying individuals at risk for BD, with an emphasis on phenotypic information and family history, has insufficient predictive validity and is clinically inadequate. The heterogeneous clinical presentation of BD, as well as its pathoetiological complexity, suggests that it is unlikely that a single biomarker (or an exclusive biomarker approach) will sufficiently augment currently inadequate phenotypic-centric prediction models. We propose a 'Big Data'- bioinformatics approach that integrates vast and complex phenotypic, anamnestic, behavioral, family, and personal 'omics' profiling. Bioinformatic processing approaches, utilizing cloud- and grid-enabled computing, are now capable of analyzing data on the order of tera-, peta-, and exabytes, providing hitherto unheard of opportunities to fundamentally revolutionize how psychiatric disorders are predicted, prevented, and treated. High-throughput networks dedicated to research on, and the treatment of, BD, integrating both adult and younger populations, will be essential to sufficiently enroll adequate samples of individuals across the neurodevelopmental trajectory in studies to enable the characterization and prevention of this heterogeneous disorder.

CONCLUSIONS

Advances in bioinformatics using a 'Big Data' approach provide an opportunity for novel insights regarding the pathoetiology of BD. The coordinated integration of research centers, inclusive of mixed-age populations, is a promising strategic direction for advancing this line of neuropsychiatric research.

Childhood maltreatment and the course of bipolar disorders among adults: epidemiologic evidence of dose-response effects

BACKGROUND

Childhood maltreatment (CM) is highly prevalent among individuals with bipolar disorders (BP); however few studies have examined its potential role in the course and outcome of individuals with BP. We aim to examine the dose response relationship between the number of types of CM and the course of individuals with BP.

METHODS

As part of the National Epidemiologic Survey on Alcohol and Related Conditions, 1600 adults who met lifetime DSM-IV criteria for BP-I (n=1172) and BP-II (n=428) were included. Individuals were evaluated using the Alcohol Use Disorder and Associated Disabilities Interview Schedule-DMS-IV Version and data was analyzed lifetime and from Waves 1 and 2, approximately 3 years apart.

RESULTS

Around half of individuals with BP had a history of at least one type of CM. Overall, there was a clear dose-response relationship between number of CM and severity of BP across several domains, including clinical characteristics, probability of treatment, lifetime prevalence of psychiatric comorbidity, incidence of anxiety disorders, substance use disorder, and nicotine dependence, and level of psychosocial functioning.

LIMITATIONS

The interviews were conducted by lay professional interviewers rather than clinicians, use of retrospective report to determine CM in individuals with BP, and not all respondents from Wave 1 were able to be interviewed in Wave 2.

CONCLUSIONS

The number of types of CM confers developmental differences in the course of BP with a worse course and outcome of BP. Early identification and treatment of CM are warranted to improve the course and outcome of individuals with BP.