The mood spectrum in unipolar and bipolar disorder: arguments for a unitary approach

Characterizing the distinct imaging phenotypes, clinical behavior, and genetic vulnerability of brain maturational subtypes in mood disorders

BACKGROUND

Mood disorders are characterized by great heterogeneity in clinical manifestation. Uncovering such heterogeneity using neuroimaging-based individual biomarkers, clinical behaviors, and genetic risks, might contribute to elucidating the etiology of these diseases and support precision medicine.

METHODS

We recruited 174 drug-naïve and drug-free patients with major depressive disorder and bipolar disorder, as well as 404 healthy controls. T1 MRI imaging data, clinical symptoms, and neurocognitive assessments, and genetics were obtained and analyzed. We applied regional gray matter volumes (GMV) and quantile normative modeling to create maturation curves, and then calculated individual deviations to identify subtypes within the patients using hierarchical clustering. We compared the between-subtype differences in GMV deviations, clinical behaviors, cell-specific transcriptomic associations, and polygenic risk scores. We also validated the GMV deviations based subtyping analysis in a replication cohort.

RESULTS

Two subtypes emerged: subtype 1, characterized by increased GMV deviations in the frontal cortex, cognitive impairment, a higher genetic risk for Alzheimer's disease, and transcriptionally associated with Alzheimer's disease pathways, oligodendrocytes, and endothelial cells; and subtype 2, displaying globally decreased GMV deviations, more severe depressive symptoms, increased genetic vulnerability to major depressive disorder and transcriptionally related to microglia and inhibitory neurons. The distinct patterns of GMV deviations in the frontal, cingulate, and primary motor cortices between subtypes were shown to be replicable.

CONCLUSIONS

Our current results provide vital links between MRI-derived phenotypes, spatial transcriptome, genetic vulnerability, and clinical manifestation, and uncover the heterogeneity of mood disorders in biological and behavioral terms.

Serum Levels of Zinc, Albumin, Interleukin-6 and CRP in Patients with Unipolar and Bipolar Depression: Cross Sectional Study

Unipolar (UD) and bipolar depression (BDD) show a high degree of similarity in clinical presentations, which complicates the differential diagnosis of these disorders. The aim of this study was to investigate the serum levels of interleukin 6 (IL-6), C-reactive protein (CRP), albumin (Alb), and zinc (Zn) in patients with UD, BDD, and healthy controls (HC). A total of 211 samples were collected: 131 patient samples (65 UD and 68 BDD) and 80 HC. The Montgomery-Asberg Depression Rating Scale (MADRS), along with the Hamilton Depression Rating Scale (HAMD-17), were administered to patient groups to evaluate symptoms. A cross-sectional study was performed to analyse the serum levels of IL-6, CRP, albumin, and zinc. The concentration of CRP was determined using the immunoturbidimetry method, zinc using the colorimetric method, and albumin using the colorimetric method with bromocresol green on the Alinity c device. IL-6 cytokine concentration in serum samples was ascertained using a commercial enzyme immunoassay, ELISA. We found no significant differences in serum concentrations of zinc, albumin, CRP, and IL-6 between the groups of patients with unipolar and bipolar depression. There was a significant statistical difference (p < 0.001) between serum levels of all investigated parameters in both groups of depressed patients in comparison with HC. Furthermore, correlations with specific items on HAMD-17; (namely, hypochondrias, work and activities, somatic symptoms-general, and weight loss) and on MADRS (concentration difficulties, lassitude) were observed in both patient groups. These findings confirm the presence of low-grade inflammation in depression, thus adding better insight into the inflammation hypothesis directed to explain the aetiology of depressive disorders. Our results do not indicate potential biomarkers for distinguishing between unipolar and bipolar depression.

Neurobehavioral Reward and Sleep-Circadian Profiles Predict Present and Next-Year Mania/Hypomania Symptoms

BACKGROUND

Heightened reward sensitivity/impulsivity, related neural activity, and sleep-circadian disruption are important risk factors for bipolar spectrum disorders, the defining feature of which is mania/hypomania. Our goal was to identify neurobehavioral profiles based on reward and sleep-circadian features and examine their specificity to mania/hypomania versus depression vulnerability.

METHODS

At baseline, a transdiagnostic sample of 324 adults (18-25 years) completed trait measures of reward sensitivity (Behavioral Activation Scale), impulsivity (UPPS-P-Negative Urgency), and a functional magnetic resonance imaging card-guessing reward task (left ventrolateral prefrontal activity to reward expectancy, a neural correlate of reward motivation and impulsivity, was extracted). At baseline, 6-month follow-up, and 12-month follow-up, the Mood Spectrum Self-Report Measure - Lifetime Version assessed lifetime predisposition to subthreshold-syndromal mania/hypomania, depression, and sleep-circadian disturbances (insomnia, sleepiness, reduced sleep need, rhythm disruption). Mixture models derived profiles from baseline reward, impulsivity, and sleep-circadian variables.

RESULTS

Three profiles were identified: 1) healthy (no reward or sleep-circadian disruption; n = 162); 2) moderate-risk (moderate reward and sleep-circadian disruption; n = 109); and 3) high-risk (high impulsivity and sleep-circadian disruption; n = 53). At baseline, the high-risk group had significantly higher mania/hypomania scores than the other groups but did not differ from the moderate-risk group in depression scores. Over the follow-up period, the high-risk and moderate-risk groups exhibited elevated mania/hypomania scores, whereas depression scores increased at a faster rate in the healthy group than in the other groups.

CONCLUSIONS

Cross-sectional and next-year predisposition to mania/hypomania is associated with a combination of heightened reward sensitivity and impulsivity, related reward circuitry activity, and sleep-circadian disturbances. These measures can be used to detect mania/hypomania risk and provide targets to guide and monitor interventions.

Eveningness chronotype and depressive affective temperament associated with higher high-sensitivity C-reactive protein in unipolar and bipolar depression

BACKGROUND

Several studies investigated the role of inflammation in the etiopathogenesis of mood disorders. The aim of our cross-sectional study is evaluating baseline high-sensitivity C-reactive-protein (hsCRP) levels in a cohort of unipolar and bipolar depressive inpatients, in relation with psychopathological, temperamental and chronotype features.

METHODS

Among 313 screened inpatients, we retrospectively recruited 133 moderate-to-severe depressive patients who were assessed for hsCRP levels, chronotype with Morningness-Eveningness Questionnaire (MEQ) and affective temperament with Temperament Evaluation of Memphis, Pisa, Paris and San Diego (TEMPS).

LIMITATIONS

The cross-sectional and retrospective design of the study, the small sample size, the exclusion of hypomanic, maniac and euthymic bipolar patients.

RESULTS

hsCRP levels were significantly higher among those with previous suicide attempt (p = 0.05), death (p = 0.018) and self-harm/self-injury thoughts (p = 0.011). Linear regression analyses, adjusted for all covariates, demonstrated that higher scores at the TEMPS-M depressive, while lower scores at the hyperthymic and irritable affective temperaments [F = 88.955, R² = 0.710, p < 0.001] and lower MEQ scores [F = 75.456, R² = 0.405, p < 0.001] statistically significantly predicted higher hsCRP.

CONCLUSION

Eveningness chronotype and a depressive affective temperament appeared to be associated with higher hsCRP levels during moderate-to-severe unipolar and bipolar depression. Further longitudinal and larger studies should better characterise patients with mood disorders by investigating the influence of chronotype and temperament.

The Genetic Side of the Mood: A Scientometric Review of the Genetic Basis of Mood Disorders

Mood disorders are highly heritable psychiatric disorders. Over the years, many genetic polymorphisms have been identified to pose a higher risk for the development of mood disorders. To overview the literature on the genetics of mood disorders, a scientometric analysis was performed on a sample of 5342 documents downloaded from Scopus. The most active countries and the most impactful documents in the field were identified. Furthermore, a total of 13 main thematic clusters emerged in the literature. From the qualitative inspection of clusters, it emerged that the research interest moved from a monogenic to a polygenic risk framework. Researchers have moved from the study of single genes in the early 1990s to conducting genome-wide association studies around 2015. In this way, genetic overlaps between mood disorders and other psychiatric conditions emerged too. Furthermore, around the 2010s, the interaction between genes and environmental factors emerged as pivotal in understanding the risk for mood disorders. The inspection of thematic clusters provides a valuable insight into the past and recent trends of research in the genetics of mood disorders and sheds light onto future lines of research.

Affective temperament and mood spectrum symptoms in workers suffering from work-related stress disorders

INTRODUCTION

Adjustment Disorders (AD) which develop in response to work-related stressors represent a model of psychiatric occupational disease. Major Depressive Episodes (MDE) although often associated to work-related stressors are unlikely recognized by insurance institutes as occupational diseases. Affective temperament and mood spectrum symptoms are possible factors of vulnerability to stress. The aim of this study was to investigate if temperaments and mood spectrum symptoms had a different distribution among workers exposed to occupational stress and suffering from different psychiatric disorders (AD, MDE).

METHODS

156 AD and 97 MDE patients were recruited and evaluated with scales for perceived stress (PSM) and work-related stress (JCQ), for psychopathological symptoms (BDI-II, SAS), for affective temperament (TEMPS-A[P]) and for lifetime mood spectrum symptoms (MOODS-SR). Group comparisons and correlation analyses between variables were performed by parametric or non-parametric statistical tests according to variables distribution.

RESULTS

The diagnostic groups did not differ for perceived and occupational stress levels. MDE patients reported significantly higher BDI-II score and MOODS-SR scores than AD ones. The hyperthymic temperament was significantly more frequent in AD than in MDE group. The hyperthymic score, differently from other dimensions of temperament and from mood spectrum components, negatively correlated or did not correlate with psychopathological symptoms severity and perceived stress levels.

LIMITATIONS

Predictive limitation because of cross-sectional design.

CONCLUSIONS

The hyperthymic temperament as opposed to lifetime subtreshold mood symptoms appears to be more represented in patients suffering from occupational AD than in MDE ones. Acknowledging vulnerability factors to job stress could support clinicians in occupational diseases prevention and management.

Clinical research diagnostic criteria for bipolar illness (CRDC-BP): rationale and validity

BACKGROUND

In the 1970 s, scientific research on psychiatric nosology was summarized in Research Diagnostic Criteria (RDC), based solely on empirical data, an important source for the third revision of the official nomenclature of the American Psychiatric Association in 1980, the Diagnostic and Statistical Manual, Third Edition (DSM-III). The intervening years, especially with the fourth edition in 1994, saw a shift to a more overtly "pragmatic" approach to diagnostic definitions, which were constructed for many purposes, with research evidence being only one consideration. The latest editions have been criticized as failing to be useful for research. Biological and clinical research rests on the validity of diagnostic definitions that are supported by firm empirical foundations, but critics note that DSM criteria have failed to prioritize research data in favor of "pragmatic" considerations.

RESULTS

Based on prior work of the International Society for Bipolar Diagnostic Guidelines Task Force, we propose here Clinical Research Diagnostic Criteria for Bipolar Illness (CRDC-BP) for use in research studies, with the hope that these criteria may lead to further refinement of diagnostic definitions for other major mental illnesses in the future. New proposals are provided for mixed states, mood temperaments, and duration of episodes.

CONCLUSIONS

A new CRDC could provide guidance toward an empirically-based, scientific psychiatric nosology, and provide an alternative clinical diagnostic approach to the DSM system.

Exploration of mood spectrum symptoms during a major depressive episode: The impact of contrapolarity-Results from a transdiagnostic cluster analysis on an Italian sample of unipolar and bipolar patients

Background

Subthreshold hypomania during a major depressive episode challenges the bipolar-unipolar dichotomy. In our study we employed a cross-diagnostic cluster analysis - to identify distinct subgroups within a cohort of depressed patients.

Methods

A k-means cluster analysis— based on the domain scores of the Mood Spectrum Self-Report (MOODS-SR) questionnaire—was performed on a data set of 300 adults with either bipolar or unipolar depression. After identifying groups, between-clusters comparisons were conducted on MOODS-SR domains and factors and on a set of sociodemographic, clinical and psychometric variables.

Results

Three clusters were identified: one with intermediate depressive and poor manic symptomatology (Mild), one with severe depressive and poor manic symptomatology (Moderate), and a third one with severe depressive and intermediate manic symptomatology (Mixed). Across the clusters, bipolar patients were significantly less represented in the Mild one, while the DSM-5 “Mixed features” specifier did not differentiate the groups. When compared to the other patients, those of Mixed cluster exhibited a stronger association with most of the illness-severity, quality of life, and outcomes measures considered. After performing pairwise comparisons significant differences between “Mixed” and “Moderate” clusters were restricted to: current and disease-onset age, psychotic ideation, suicidal attempts, hospitalization numbers, impulsivity levels and comorbidity for Cluster B personality disorder.

Conclusions

In the present study, a clustering approach based on a spectrum exploration of mood symptomatology led to the identification of three transdiagnostic groups of patients. Consistent with our hypothesis, the magnitude of subthreshold (hypo)manic symptoms was related to a greater clinical severity, regardless of the main categorical diagnosis.

Prevalence, clinical features and prescription patterns of psychotropic medications for patients with psychotic depression in China

OBJECTIVE

To investigate the prevalence of psychotic depression and the differences in sociodemographic and clinical characteristics and prescription patterns of psychotropic medications between patients with psychotic depression (PD) and patients with nonpsychotic depression (NPD) in China.

METHODS

We conducted a cross-sectional study in 13 major psychiatric hospitals or the psychiatric units of general hospitals in China from September 1, 2010, to February 28, 2011. PD was defined according to the psychotic disorder section of the Mini International Neuropsychiatric Interview (MINI). The sociodemographic and clinical characteristics and the prescription patterns of psychotropic medications were compared between the PD and NPD groups. Multivariate logistic regression analysis was used to investigate factors associated with an increased likelihood of PD.

RESULTS

Among 1172 MDD patients, the prevalence of psychotic features was 9.2% in the present study. The logistic regression analysis indicated that unmarried (OR = 2.08, p < 0.001), frequent depressive episodes (OR = 2.10, p = 0.020), depressive episodes with suicidal ideation and attempts (OR = 1.91, p = 0.004), and patients who were prescribed any antipsychotics (OR = 2.94, p < 0.001) were associated with psychotic features in patients with MDD.

LIMITATIONS

Cross-sectional design, retrospective recall of some data CONCLUSION: The prevalence of PD is high in China, and there were some differences in demographic and clinical characteristics between patients with PD and patients with NPD. Clinicians should regularly assess psychotic symptoms and consider intensive treatment and close monitoring when treating subjects with PD.

Astroglial Serotonin Receptors as the Central Target of Classic Antidepressants

Major depressive disorder (MDD) presents multiple clinical phenotypes and has complex underlying pathological mechanisms. Existing theories cannot completely explain the pathophysiological mechanism(s) of MDD, while the pharmacology of current antidepressants is far from being fully understood. Astrocytes, the homeostatic and defensive cells of the central nervous system, contribute to shaping behaviors, and regulating mood and emotions. A detailed introduction on the role of astrocytes in depressive disorders is thus required, to which this chapter is dedicated. We also focus on the interactions between classic antidepressants and serotonin receptors, overview the role of astrocytes in the pharmacological mechanisms of various antidepressants, and present astrocytes as targets for the treatment of bipolar disorder. We provide a foundation of knowledge on the role of astrocytes in depressive disorders and astroglial 5-HT_2B receptors as targets for selective serotonin reuptake inhibitors in vivo and in vitro.

Consensus on nomenclature for clinical staging models in bipolar disorder: A narrative review from the International Society for Bipolar Disorders (ISBD) Staging Task Force

OBJECTIVES

Clinical staging is widely used in medicine to map disease progression, inform prognosis, and guide treatment decisions; in psychiatry, however, staging remains a hypothetical construct. To facilitate future research in bipolar disorders (BD), a well-defined nomenclature is needed, especially since diagnosis is often imprecise with blurred boundaries, and a full understanding of pathophysiology is lacking.

METHODS

Under the auspices of the International Society of Bipolar Disorders, a Task Force of international experts was convened to review, discuss, and integrate findings from the scientific literature relevant to the development of a consensus staging model and standardize a terminology that could be used to advance future research including staging of BD and related disorders.

RESULTS

Consensus opinion and areas of uncertainty or difference were identified in regard to terms referring to staging as it may apply to BD, to at-risk status and subthreshold stages, and to various clinical stages of BD as it is currently diagnosed.

CONCLUSION

The use of a standardized nomenclature about the clinical stages of BD will facilitate communication about research on clinical and pathological components of this heterogeneous group of disorders. The concepts presented are based on current evidence, but the template provided allows for further refinements as etiological advances come to light.

Comorbidities, Depression Severity, and Circadian Rhythms Disturbances as Clinical Correlates of Duration of Untreated Illness in Affective Disorders

Background and Objectives: Affective disorders, namely bipolar (BDs) and depressive disorders (DDs) are characterized by high prevalence and functional impairment. From a dimensional point of view, BDs and DDs can be considered as psychopathological entities lying on a continuum. A delay in treatment initiation might increase the burden associated with affective disorders. The aim of this study is to analyze the correlates of a long duration of untreated illness (DUI) in these conditions. Materials and Methods: Subjects with BDs and DDs, both in- and outpatients, were recruited. Long DUI was defined according to previous research criteria as >2 years for BDs or >1 year for DDs. Socio-demographic, clinical and psychopathological characteristics of the recruited subjects were collected. Bivariate analyses were performed to compare subjects with a long and short DUI (p < 0.05). Results: In our sample (n = 61), 34.4% of subjects presented a long DUI. A long DUI was significantly associated with longer overall illness duration (p = 0.022) and a higher rate of psychiatric (p = 0.048) and physical comorbidities (p = 0.023). As for psychopathological features, depressive symptoms were more severe in the long DUI subgroup, as demonstrated by a higher score at the Clinical Global Impression-severity of depression (p = 0.012) item and at the anxiety/depression factor of the Positive and Negative Syndrome Scale (p = 0.041). Furthermore, subjects with a long DUI displayed more severe disruption of circadian rhythms, as evaluated by the Biological Rhythms Interview for Assessment in Neuropsychiatry total (p = 0.044) and social domain (p = 0.005) scores and by the Hamilton Depression Rating Scale diurnal variation items (18a: p = 0.029, 18b: p = 0.047). Conclusions: A long DUI may underpin higher clinical severity, as well as worse illness course and unfavorable prognosis in affective disorders. Intervention strategies targeting comorbidities, depressive symptoms and circadian rhythms may decrease disease burden in subjects with a long DUI.

White matter abnormalities in adults with bipolar disorder type-II and unipolar depression

Discerning distinct neurobiological characteristics of related mood disorders such as bipolar disorder type-II (BD-II) and unipolar depression (UD) is challenging due to overlapping symptoms and patterns of disruption in brain regions. More than 60% of individuals with UD experience subthreshold hypomanic symptoms such as elevated mood, irritability, and increased activity. Previous studies linked bipolar disorder to widespread white matter abnormalities. However, no published work has compared white matter microstructure in individuals with BD-II vs. UD vs. healthy controls (HC), or examined the relationship between spectrum (dimensional) measures of hypomania and white matter microstructure across those individuals. This study aimed to examine fractional anisotropy (FA), radial diffusivity (RD), axial diffusivity (AD), and mean diffusivity (MD) across BD-II, UD, and HC groups in the white matter tracts identified by the XTRACT tool in FSL. Individuals with BD-II (n = 18), UD (n = 23), and HC (n = 24) underwent Diffusion Weighted Imaging. The categorical approach revealed decreased FA and increased RD in BD-II and UD vs. HC across multiple tracts. While BD-II had significantly lower FA and higher RD values than UD in the anterior part of the left arcuate fasciculus, UD had significantly lower FA and higher RD values than BD-II in the area of intersections between the right arcuate, inferior fronto-occipital and uncinate fasciculi and forceps minor. The dimensional approach revealed the depression-by-spectrum mania interaction effect on the FA, RD, and AD values in the area of intersection between the right posterior arcuate and middle longitudinal fasciculi. We propose that the white matter microstructure in these tracts reflects a unique pathophysiologic signature and compensatory mechanisms distinguishing BD-II from UD.

Confirming diagnostic categories within a depression continuum: Testing extra-linearity of risk factors and a latent class analysis

BACKGROUND

Dimensions are recommended as replacements for diagnostic categories of depression, but clinicians continue to use categories. Categories are appropriate if major, underlying changes in symptom structure occur above a clinical cut-off on a depression continuum.

METHODS

Cross-sectional surveys of Chinese undergraduates (n = 39,446) 2014-2018 measured self-reported depressive symptoms, associated psychopathology and etiological risk factors using standardised instruments. We created a continuum using PHQ-9 scores and tested linear and extra-linear contrasts in associated psychopathology, and etiology. We carried out latent class analyses (LCA).

RESULTS

Most symptoms showed linear increase, but depressed mood, anhedonia, and suicidal ideation showed marked increase at the severe end of the continuum. There was extra-linear increase in associated psychotic symptoms, other psychopathology, age, low family income, chronic pain and physical illness, childhood physical and sexual abuse, and neglect. Four LCs corresponding to Melancholic, Severe melancholic, Non-melancholic, and Mild depression were confirmed, but only above a clinical cut-off along the continuum. Etiological risk factors did not differentiate between classes but showed overall dramatic increase in impact above threshold of clinical severity.

LIMITATIONS

Only one self-report instrument was used (PHQ-9) to measure depression and diagnoses were not validated by clinical interviews.

CONCLUSIONS

Categories are necessary to describe the dramatic changes in underlying structure and symptom associations above a clinical threshold of severity. These result from extra-linear impact of etiological risk factors at the severe end of the depression continuum. Although the study confirmed melancholic and non-melancholic subtypes, further investigation should investigate etiological factors that determine this subdivision.

Multivariate Analysis of Structural and Functional Neuroimaging Can Inform Psychiatric Differential Diagnosis

Traditional psychiatric diagnosis has been overly reliant on either self-reported measures (introspection) or clinical rating scales (interviews). This produced the so-called explanatory gap with the bio-medical disciplines, such as neuroscience, which are supposed to deliver biological explanations of disease. In that context the neuro-biological and clinical assessment in psychiatry remained discrepant and incommensurable under conventional statistical frameworks. The emerging field of translational neuroimaging attempted to bridge the explanatory gap by means of simultaneous application of clinical assessment tools and functional magnetic resonance imaging, which also turned out to be problematic when analyzed with standard statistical methods. In order to overcome this problem our group designed a novel machine learning technique, multivariate linear method (MLM) which can capture convergent data from voxel-based morphometry, functional resting state and task-related neuroimaging and the relevant clinical measures. In this paper we report results from convergent cross-validation of biological signatures of disease in a sample of patients with schizophrenia as compared to depression. Our model provides evidence that the combination of the neuroimaging and clinical data in MLM analysis can inform the differential diagnosis in terms of incremental validity.

Metacognitions and repetitive negative thinking in bipolar disorder and healthy controls: A comparative study

BACKGROUND

Metacognitive deficits and repetitive negative thinking are poorly explored in bipolar disorder (BD). The majority of the published studies concerned patients with bipolar depression, without differentiating among BD subtypes. The most common dysfunctional metacognitions, measured with the Metacognition Questionnaire-30 (MCQ-30), were Negative Beliefs about the Uncontrollability and Danger of Worry (NB), Cognitive Confidence (CC) and Beliefs about the Need to Control Thoughts (NC). Worry and rumination also seem to influence every phase of BD. This study aimed to investigate metacognitions and repetitive negative thinking in euthymic patients with BD.

METHOD

Using the MCQ-30, the Penn State Worry Questionnaire (PSWQ) and the Ruminative Responses Scale (RRS), we compared 57 BD-I and 48 BD-II patients with 78 healthy controls.

RESULTS

Both BD groups showed significantly higher NB, CC, NC and total MCQ-30 scores. 'Positive Beliefs About Worry' (PBW) showed a significantly higher score only in the BD-II group. Rumination scores were significantly higher in both patient samples. Worry did not show any significant differences between groups.

LIMITATIONS

The primary limitations are related to the size of the samples and the research design.

CONCLUSIONS

Our findings suggested that metacognitive deficits and negative repetitive thinking were associated with euthymic BD. Rumination, NB, CC, and TC may represent trait-dependent features related to the inter-episodic phase of the disorder. A higher PBW score seemed to be a distinctive feature only for patients with euthymic BD-II. The results offer new perspectives in the psychotherapeutic treatment of these patients.

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

BACKGROUND

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

METHODS

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

RESULTS

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

LIMITATIONS

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

CONCLUSIONS

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

Deconstructing major depressive episodes across unipolar and bipolar depression by severity and duration: a cross-diagnostic cluster analysis on a large, international, observational study

A cross-diagnostic, post-hoc analysis of the BRIDGE-II-MIX study was performed to investigate how unipolar and bipolar patients suffering from an acute major depressive episode (MDE) cluster according to severity and duration. Duration of index episode, Clinical Global Impression-Bipolar Version-Depression (CGI-BP-D) and Global Assessment of Functioning (GAF) were used as clustering variables. MANOVA and post-hoc ANOVAs examined between-group differences in clustering variables. A stepwise backward regression model explored the relationship with the 56 clinical-demographic variables available. Agglomerative hierarchical clustering with two clusters was shown as the best fit and separated the study population (n = 2314) into 65.73% (Cluster 1 (C1)) and 34.26% (Cluster 2 (C2)). MANOVA showed a significant main effect for cluster group (p < 0.001) but ANOVA revealed that significant between-group differences were restricted to CGI-BP-D (p < 0.001) and GAF (p < 0.001), showing greater severity in C2. Psychotic features and a minimum of three DSM-5 criteria for mixed features (DSM-5-3C) had the strongest association with C2, that with greater disease burden, while non-mixed depression in bipolar disorder (BD) type II had negative association. Mixed affect defined as DSM-5-3C associates with greater acute severity and overall impairment, independently of the diagnosis of bipolar or unipolar depression. In this study a pure, non-mixed depression in BD type II significantly associates with lesser burden of clinical and functional severity. The lack of association for less restrictive, researched-based definitions of mixed features underlines DSM-5-3C specificity. If confirmed in further prospective studies, these findings would warrant major revisions of treatment algorithms for both unipolar and bipolar depression.

The Genetics of the Mood Disorder Spectrum: Genome-wide Association Analyses of More Than 185,000 Cases and 439,000 Controls

BACKGROUND

Mood disorders (including major depressive disorder and bipolar disorder) affect 10% to 20% of the population. They range from brief, mild episodes to severe, incapacitating conditions that markedly impact lives. Multiple approaches have shown considerable sharing of risk factors across mood disorders despite their diagnostic distinction.

METHODS

To clarify the shared molecular genetic basis of major depressive disorder and bipolar disorder and to highlight disorder-specific associations, we meta-analyzed data from the latest Psychiatric Genomics Consortium genome-wide association studies of major depression (including data from 23andMe) and bipolar disorder, and an additional major depressive disorder cohort from UK Biobank (total: 185,285 cases, 439,741 controls; nonoverlapping N = 609,424).

RESULTS

Seventy-three loci reached genome-wide significance in the meta-analysis, including 15 that are novel for mood disorders. More loci from the Psychiatric Genomics Consortium analysis of major depression than from that for bipolar disorder reached genome-wide significance. Genetic correlations revealed that type 2 bipolar disorder correlates strongly with recurrent and single-episode major depressive disorder. Systems biology analyses highlight both similarities and differences between the mood disorders, particularly in the mouse brain cell types implicated by the expression patterns of associated genes. The mood disorders also differ in their genetic correlation with educational attainment-the relationship is positive in bipolar disorder but negative in major depressive disorder.

CONCLUSIONS

The mood disorders share several genetic associations, and genetic studies of major depressive disorder and bipolar disorder can be combined effectively to enable the discovery of variants not identified by studying either disorder alone. However, we demonstrate several differences between these disorders. Analyzing subtypes of major depressive disorder and bipolar disorder provides evidence for a genetic mood disorders spectrum.

Mood spectrum symptoms during a major depressive episode: Differences between 145 patients with bipolar disorder and 155 patients with major depressive disorder. Arguments for a dimensional approach

BACKGROUND

Several studies have challenged the traditional unipolar-bipolar dichotomy in favor of a more dimensional approach.

OBJECTIVE

To evaluate the differences in mood spectrum between patients with bipolar disorder (BD) and major depressive disorder (MDD) during a major depressive episode (MDE).

METHOD

Study participants were 145 patients with BD and 155 patients with MDD recruited at three University Medical Centers in Italy. All study subjects met Diagnostic and Statistical Manual of Mental Disorders (DSM) criteria for MDE and completed the Mood Spectrum-Self-Report-Last Month questionnaire.

RESULTS

Patients with BD endorsed more items in the mood manic/hypomanic and energy depressive subdomains of the MOODS-SR questionnaire. Significant differences were also found for specific depressive and manic items, which were more frequently endorsed by patients with BD. A large number of patients with BD, but also a considerable number of patients with MDD, endorsed manic items during a depressive episode.

CONCLUSIONS

There are differences between BD and MDD in terms of the number and type of mood spectrum items that are endorsed during a MDE, which may help to identify patients with BD when a retrospective assessment of a history of mania or hypomania is not possible or not reliable. A high number of patients with BD and a considerable number of patients with MDD endorsed several items in the manic section of the mood, energy, and cognition domains, this confirming the centrality of mixed features in patients with mood disorders and the need for a unitary, dimensional, descriptive and dynamic approach to MDD and BD, such as the recently proposed ACE (Activity, Cognition, Energy) model.

Reviewing the diagnostic validity and utility of mixed depression (depressive mixed states)

Objective

To review the diagnostic validity and utility of mixed depression, i.e. co-occurrence of depression and manic/hypomanic symptoms.

Methods

PubMed search of all English-language papers published between January 1966 and December 2006 using and cross-listing key words: bipolar disorder, mixed states, criteria, utility, validation, gender, temperament, depression-mixed states, mixed depression, depressive mixed state/s, dysphoric hypomania, mixed hypomania, mixed/dysphoric mania, agitated depression, anxiety disorders, neuroimaging, pathophysiology, and genetics. A manual review of paper reference lists was also conducted.

Results

By classic diagnostic validators, the diagnostic validity of categorically-defined mixed depression (i.e. at least 2–3 manic/hypomanic symptoms) is mainly supported by family history (the current strongest diagnostic validator). Its diagnostic utility is supported by treatment response (negative effects of antidepressants). A dimensionally-defined mixed depression is instead supported by a non-bi-modal distribution of its intradepression manic/hypomanic symptoms.

Discussion

Categorically-defined mixed depression may have some diagnostic validity (family history is the current strongest validator). Its diagnostic utility seems supported by treatment response.

Does temperamental instability support a continuity between bipolar II disorder and major depressive disorder?

Background

The current categorical split of mood disorders in bipolar disorders and depressive disorders has recently been questioned. Two highly unstable personality features, i.e. the cyclothymic temperament (CT) and borderline personality disorder (BPD), have been found to be more common in bipolar II (BP-II) disorder than in major depressive disorder (MDD). According to Kraepelin, temperamental instability was the ‘foundation’ of his unitary view of mood disorders.

Study aim

The aim was to assess the distributions of the number of CT and borderline personality items between BP-II and MDD. Finding no bi-modal distribution (a ‘zone of rarity’) of these items would support a continuity between the two disorders.

Methods

Study setting: an outpatient psychiatry private practice. Interviewer: A senior clinical and mood disorder research psychiatrist. Patient population: A consecutive sample of 138 BP-II and 71 MDD remitted outpatients. Assessment instruments: The structured clinical interview for DSM-IV Axis I Disorders-Clinician Version (SCID-CV), the SCID-II Personality Questionnaire for self-assessing borderline personality traits (BPT) by patients, the TEMPS-A for self-assessing CT by patients. Interview methods: Patients were interviewed with the SCID-CV to diagnose BP-II and MDD, and then patients self-assessed the questions of the Personality Questionnaire relative to borderline personality, and the questions of the TEMPS-A relative to CT. As clinically significant distress or impairment of functioning is not assessed by the SCID-II Personality Questionnaire, a diagnosis of BPD could not be made, but BPT could be assessed (i.e. all BPD items but not the impairment criterion). The distribution of the number of CT and BPT items was studied by Kernel density estimate.

Results

CT and BPT items were significantly more common in BP-II versus MDD. The Kernel density estimate distributions of the number of CT and BPT items in the entire sample had a normal-like shape (i.e. no bi-modality).

Conclusions

The expected finding, on the basis of previous studies and of the present sample features, was a clustering of CT and BPT items on the BP-II side of the curves. Instead, no bi-modality was present in the distributions of the number of CT and BPT items in the entire sample, showing a normal-like shape. By using the bi-modality approach, a continuity between BP-II and MDD seems supported, questioning the current categorical splitting of BP-II and MDD based on classic diagnostic validators.

Treatment Rate for Major Depressive Disorder in China: a Meta-Analysis of Epidemiological Studies

Major depressive disorder (MDD) is a common psychiatric disorder in China, but its reported treatment rate varies largely across different studies. The objective of this meta-analysis was to determine the pooled treatment rate for people with MDD in China and its associated factors. Both English (PubMed, Cochrane Library, PsycINFO, Web of Science) and Chinese (Chinese National Knowledge Infrastructure, WanFang and SinoMed) databases were searched from their commencement date to November 13, 2018. Epidemiological studies that reported the treatment rate of MDD were included and synthesized using a random effects model. Fifteen studies covering 609,054 participants were included. The pooled treatment rate for MDD in China was 19.5% (95% CI: 10.7%-28.4%). Among the 15 studies, 9 reported the number of patients who received treatments in psychiatric hospitals with a pooled treatment rate of 5.2% (95% CI: 2.8%-7.5%). Meta-regression found that study quality (β = 0.131, P = 0.028) and male gender (β = 0.006, P = 0.039) were significantly associated with a higher treatment rate for MDD. In China, the treatment rate for MDD, particularly in psychiatric hospitals, was low. Effective public education and increasing access to mental health services will probably increase the number of people seeking and receiving treatment.

Cognitive function following a major depressive episode: a systematic review and meta-analysis

BACKGROUND

Substantial evidence suggests that cognitive deficits might persist after remission of a major depressive episode. However, results are inconsistent relative to the importance, pattern, severity, and moderating factors of this impairment. We aimed to determine how cognitive function following a major depressive episode compares with normal function, to specify the pattern and severity of persistent cognitive dysfunctions, and to examine the potential moderator effect of ten prespecified clinical and demographic variables.

METHODS

We did a systematic review and meta-analysis of the published research. We searched systematically MEDLINE, Embase, PsycARTICLES, PsycINFO, the Cochrane Library, and relevant reviews identified by our database search, for research published from Jan 1, 1972, up to Jan 31, 2018, for studies of patients with past depression. We included all independent studies of patients who were assessed while in remission from a major depressive episode with at least one cognitive test, with inclusion of a healthy control group assessed with either the same test(s) as the major depressive episode group or with a standardised test with published age-stratified normative data. The main outcome was the difference in cognitive performance between major depressive episode remitters and healthy controls. Effect sizes were calculated using random-effects models for cognitive outcomes classified into 18 standard domains. Moderators of between-study variability were assessed using mixed-effects subgroup analyses and meta-regressions.

FINDINGS

Of 10 126 citations identified by our search, 75 cognitive variables from 252 eligible studies (11 882 major depressive episode remitters and 8533 healthy controls) were included in our meta-analysis. Significant deficits following major depressive episode remission were observed in 55 (73%) of the 75 cognitive variables. These deficits (in the domains of processing speed, visual selective attention, working memory, verbal learning, and executive functioning), were generally small (30 [40%] of the 75 variables) or medium (22 [29%]) in size, although three long-term memory variables showed large deficits: g=-0·81 [95% CI -1·01 to -0·61] for logical memory immediate recall, g=-0·88 [-1·19 to -0·57] for logical memory delayed recall, and g=-0·84 [-1·18 to -0·50] for Cambridge Neuropsychological Test Automated Battery pattern recognition latency. Auditory attention, general autobiographical memory, inhibition ability unconstrained by speed, and intellectual functioning unconstrained by speed were equivalent between major depressive episode remitters and matched controls. The number of previous depressive episodes explained heterogeneity in the majority of variables (z=-2·06 [p=0·039] to z=-4·26 [p<0·0001]).

INTERPRETATION

Deficits in selective attention, working memory, and long-term memory persist in remission from a major depressive episode and worsen with repeated episodes. Depression treatments, including relapse prevention, need to target these cognitive functions to optimise prognosis.

FUNDING

None.

Cluster analysis with MOODS-SR illustrates a potential bipolar disorder risk phenotype in young adults with remitted major depressive disorder

OBJECTIVES

Delays in the diagnosis and detection of bipolar disorder can lead to adverse consequences, including improper treatment and increased suicide risk. The Mood Spectrum Self-Report Measure (MOODS-SR) was designed to capture the full spectrum of lifetime mood symptomology with factor scores for depression and mania symptom constellations. The utility of the MOODS-SR as a tool to investigate homogeneous subgroups was examined, with particular focus on a possible bipolar risk subgroup. Moreover, potential patterns of differences in MOODS-SR subtypes were probed using cognitive vulnerabilities, neuropsychological functioning, and ventral striatum connectivity.

METHODS

K-mean cluster analysis based on factor scores of MOODS-SR was used to determine homogeneous subgroupings within a healthy and remitted depressed young adult sample (N = 86). Between-group comparisons (based on cluster subgroupings) were conducted on measures of cognitive vulnerabilities, neuropsychological functioning, and ventral striatum rs-fMRI connectivity.

RESULTS

Three groups of participants were identified: one with minimal symptomology, one with moderate primarily depressive symptomology, and one with more severe manic and depressive symptomology. Differences in impulsivity, neuroticism, conscientiousness, facial perception accuracy, and rs-fMRI connectivity exist between moderate and severe groups.

CONCLUSIONS

Within a sample of people with and without depression histories, a severe subgroup was identified with potentially increased risk of developing bipolar disorder through use of the MOODS-SR. This small subgroup had higher levels of lifetime depression and mania symptoms. Additionally, differences in traits, affective processing, and connectivity exist between those with a more prototypic unipolar subgrouping and those with potential risk for developing bipolar disorder.

A morphometric signature of depressive symptoms in unmedicated patients with mood disorders

OBJECTIVE

A growing literature indicates that unipolar depression and bipolar depression are associated with alterations in grey matter volume. However, it is unclear to what degree these patterns of morphometric change reflect symptom dimensions. Here, we aimed to predict depressive symptoms and hypomanic symptoms based on patterns of grey matter volume using machine learning.

METHOD

We used machine learning methods combined with voxel-based morphometry to predict depressive and self-reported hypomanic symptoms from grey matter volume in a sample of 47 individuals with unmedicated unipolar and bipolar depression.

RESULTS

We were able to predict depressive severity from grey matter volume in the anteroventral bilateral insula in both unipolar depression and bipolar depression. Self-reported hypomanic symptoms did not predict grey matter loss with a significant degree of accuracy.

DISCUSSION

The results of this study suggest that patterns of grey matter volume alteration in the insula are associated with depressive symptom severity across unipolar and bipolar depression. Studies using other modalities and exploring other brain regions with a larger sample are warranted to identify other systems that may be associated with depressive and hypomanic symptoms across affective disorders.

Mood spectrum comorbidity in patients with anorexia and bulimia nervosa

PURPOSE

To investigate the presence of mood spectrum signs and symptoms in patients with anorexia nervosa, restricting subtype (AN-R) or bulimia nervosa (BN).

METHOD

55 consecutive female patients meeting DSM-IV criteria for eating disorders (EDs) not satisfying DSM-IV criteria for Axis I mood disorders were evaluated with the Lifetime Mood Spectrum Self-Report (MOODS-SR) and the Mini-International Neuropsychiatric Interview (MINI). The MOODS-SR explored the subthreshold comorbidity for mood spectrum symptoms in patients not reaching the threshold for a mood disorder Axis I diagnosis. MOODS-SR included 161 items. Separate factor analyses of MOODS-SR identified 6 'depressive factors' and 9 'manic-hypomanic factors'.

RESULTS

The mean total score of MOODS-SR was significantly higher in BN than in AN-R patients (97.5 ± 25.4 vs 61.1 ± 38.5, respectively; p = 0.0001). 63.6 % of the sample (n = 35) endorsed the threshold of ≥61 items, with a statistically significant difference between AN-R and BN (39.3 % vs 88.9 %; χ ² = 14.6; df = 1; p = 0.0001). Patients with BN scored significantly higher than AN-R patients on several MOODS-SR factors: (a) MOODS-SR depressive component: 'depressive mood' (11.2 ± 7.4 vs 16.0 ± 5.8; p < 0.05), 'psychomotor retardation' (5.4 ± 5.6 vs 8.9 ± 3.8; p = 0.003), 'psychotic features' (2.0 ± 1.8 vs 4.1 ± 1.6; p = 0.001), 'neurovegetative symptoms' (5.0 ± 2.6 vs 7.7 ± 1.7; p = 0.001); (b) MOODS-SR manic/hypomanic component: 'psychomotor activation' (4.3 ± 3.6 vs 7.4 ± 3.1; p = 0.002), 'mixed instability' (1.0 ± 1.5 vs 2.0 ± 1.6; p < 0.05), 'mixed irritability' (2.5 ± 1.8 vs 3.7 ± 1.6; p < 0.05), 'inflated self-esteem' (1.1 ± 1.4 vs 2.1 ± 1.6; p < 0.05), and 'wastefulness/recklessness' (1.0 ± 1.4 vs 2.0 ± 1.2; p = 0.009).

CONCLUSIONS

MOODS-SR identifies subthreshold mood signs/symptoms among patients with AN-R, and BN and with no Axis I comorbidity for mood disorders, and provides a better definition of clinical phenotypes.

Psychopathological and sociodemographic features in treatment-resistant unipolar depression versus bipolar depression: a comparative study

BACKGROUND

Some authors have hypothesized that Treatment-Resistant Unipolar Depression (TRD-UP) should be considered within the bipolar spectrum disorders and that hidden bipolarity may be a risk factor for TRD-UP. However, there are neither studies comparing clinical and sociodemographic data of patients with TRD-UP versus Bipolar (BP) disorders nor are there any examining differences versus Bipolar type I (BP-I) and Bipolar type II (BP-II).

METHODS

Charts analysis was conducted on 194 patients followed at the Mood Disorders Clinic of the McGill University Health Center. Sociodemographic, clinical features and depression scales were collected from patients meeting DSM-IV criteria for TRD-UP (n = 100) and BP (n = 94). Binary logistic regression analysis was conducted to examine clinical predictors independently associated with the two disorders.

RESULTS

Compared to BP, TRD-UP patients exhibited greater severity of depression, prevalence of anxiety and panic disorders, melancholic features, Cluster-C personality disorders, later onset of depression and fewer hospitalizations. Binary logistic regression indicated that higher comorbidity with anxiety disorders, higher depression scale scores and lower global assessment of functioning (GAF) scores, and lower number of hospitalizations and psychotherapies differentiated TRD-UP from BP patients. We also found that the rate of unemployment and the number of hospitalizations for depression was higher in BP-I than in BP-II, while the rate of suicide attempts was lower in BP-I than in BP-II depressed patients.

CONCLUSIONS

These results suggest that TRD-UP constitutes a distinct psychopathological condition and not necessarily a prodromal state of BP depression.

Neuroticism and suicide in a general population cohort: results from the UK Biobank Project

BACKGROUND

Neuroticism has often been linked to suicidal thoughts and behaviour.

AIMS

To examine whether neuroticism is associated with suicide deaths after adjusting for known risks.

METHOD

UK Biobank participants (n = 389 365) were assessed for neuroticism as well as social, demographic and health-related variables at study entry and followed for up to 10 years. Suicide risk was modelled using Cox regression stratified by gender.

RESULTS

Neuroticism increased the risk of suicide in both men (hazard ratio (HR) = 1.15, 95% CI 1.09-1.22) and women (HR = 1.16, 95% CI 1.06-1.27). In a subsample who were assessed for mood disorders, neuroticism remained a significant predictor for women (HR 1.25, 95% CI 1.03-1.51) but not for men.

CONCLUSIONS

Screening and therapeutic interventions for neuroticism may be important for early suicide prevention.

DECLARATION OF INTEREST

None.

Topological Properties of Brain Structural Networks Represent Early Predictive Characteristics for the Occurrence of Bipolar Disorder in Patients With Major Depressive Disorder: A 7-Year Prospective Longitudinal Study

Bipolar disorder (BD) and major depressive disorder (MDD) are associated with different brain functional and structural abnormalities, but BD is hard to distinguish from MDD until the first manic or hypomanic episode. The aim of this study was to examine whether the topological properties of the brain structural network could be used to differentiate BD from MDD patients before their first manic/hypomanic episode. Diffusion tensor images were collected from 80 MDD patients and 53 healthy controls (HCs); 78 patients completed the follow-up study lasting 7 years. Among them, 12 patients were converted to BD and 64 patients remained MDD. Topological properties of the brain structural networks at baseline were compared among patients who converted to BD, patients who did not develop BD, and HCs. Patients who converted to BD displayed reduced nodal local efficiency in the left inferior frontal gyrus(IFG) compared with HCs and patients who did not convert to BD. There was no significant difference in the nodal global efficiency among the three groups. The findings suggest that the nodal local efficiency in the left IFG could serve as a potential biomarker to predict the conversion of MDD to BD before the occurrence of the first manic or hypomanic episode.

Mood Spectrum Disorders and Perception of Pain

Evaluation of pain perception in chronic pain patients with a concomitant mood-spectrum disorder.

DESIGN

The observational retrospective study is based on patient data collected in psychosomatic consultations held at the Gift Institute for Integrative Medicine in Pisa, Italy, from 2002 to 2014. Evoked pain stimulus threshold and tolerance were evaluated using the cold pressor test. Clinical pain intensity and Sensorial, Affective, and Evaluative dimensions were assessed using the Italian Pain Questionnaire, and Anxiety and Depressive symptoms using the Hospital Anxiety Depression Scale. Mood-spectrum disorders were diagnosed via the Mini-International Neuropsychiatric Interview, and affective temperament in accordance with Akiskal and Pinto's criteria (1999). Of a total of 627 chronic pain clinic patients, 381 were diagnosed with a concomitant mood-spectrum (MS) disorder, unipolar (US) in 61.41%. Pain threshold (t = 2.28; p < 0.05) was lower, and all clinical pain dimensions (t = 2.28; p < 0.05) increased, in MS patients compared to those without psychiatric disorders. Pain intensity (F = 3.5, p < 0.05) and cognitive pain component scores (F = 7.84; p < 0.0001) were higher in US and, to a lesser extent Bipolar Spectrum, than in subjects with other (n.112) or no psychiatric disorders (n. 134). Suicide ideation was highest in US (F = 37.20; p < 0.0001), although in BS major depressive episodes had more melancholic features (F = 46.73; P < 0.0001), and a longer history of psychiatric disorders before the pain onset than US (F = 20.31; p < 0.0001). Pain management should take into account pre-existing psychiatric disorders.

Dysphoric mania, mixed states, and mania with mixed features specifier: are we mixing things up?

Various terms have been used to describe mania when it is accompanied by depressive symptoms. In this article, we attempt to define and discuss 3 of these terms: dysphoric mania, mixed state, and mania with mixed features specifier. We conclude that whatever term is used, it is important to be aware that mania is more often unpleasant than pleasant, and that the unpleasantness is not limited to depression.

Moods in Clinical Depression Are More Unstable than Severe Normal Sadness

OBJECTIVE

Current descriptions in psychiatry and psychology suggest that depressed mood in clinical depression is similar to mild sadness experienced in everyday life, but more intense and persistent. We evaluated this concept using measures of average mood and mood instability (MI).

METHOD

We prospectively measured low and high moods using separate visual analog scales twice a day for seven consecutive days in 137 participants from four published studies. Participants were divided into a non-depressed group with a Beck Depression Inventory score of ≤10 (n = 59) and a depressed group with a Beck Depression Inventory score of ≥18 (n = 78). MI was determined by the mean square successive difference statistic.

RESULTS

Mean low and high moods were not correlated in the non-depressed group but were strongly positively correlated in the depressed group. This difference between correlations was significant. Low MI and high MI were weakly positively correlated in the non-depressed group and strongly positively correlated in the depressed group. This difference in correlations was also significant.

CONCLUSION

The results show that low and high moods, and low and high MI, are highly correlated in people with depression compared with those who are not depressed. Current psychiatric practice does not assess or treat MI or brief high mood episodes in patients with depression. New models of mood that also focus on MI will need to be developed to address the pattern of mood disturbance in people with depression.

An approach to revealing clinically relevant subgroups across the mood spectrum

BACKGROUND

Individuals diagnosed with bipolar 1 disorder (BP1), bipolar 2 disorder (BP2), or major depressive disorder (MDD) experience varying levels of depressive and (hypo)manic symptoms. Clarifying symptom heterogeneity is meaningful, as even subthreshold symptoms may impact quality of life and treatment outcome. The MOODS Lifetime self-report instrument was designed to capture the full range of depressive and (hypo)manic characteristics.

METHODS

This study applied clustering methods to 347 currently depressed adults with MDD, BP2, or BP1 to reveal naturally occurring MOODS subgroups. Subgroups were then compared on baseline clinical and demographic characteristics and as well as depressive and (hypo)manic symptoms over twenty weeks of treatment.

RESULTS

Four subgroups were identified: (1) high depressive and (hypo)manic symptoms (N=77, 22%), (2) moderate depressive and (hypo)manic symptoms (N=115, 33%), (3) low depressive and moderate (hypo)manic symptoms (N=82, 24%), and (4) low depressive and (hypo)manic symptoms (N=73, 21%). Individuals in the low depressive/moderate (hypo)manic subgroup had poorer quality of life and greater depressive symptoms over the course of treatment. Individuals in the high and moderate severity subgroups had greater substance use, longer duration of illness, and greater (hypo)manic symptoms throughout treatment. Treatment outcomes were primarily driven by individuals diagnosed with MDD.

LIMITATIONS

The sample was drawn from three randomized clinical trials. Validation is required for this exploratory study.

CONCLUSIONS

After validation, these subgroups may inform classification and personalized treatment beyond categorical diagnosis.

Swedish Version of Mood Spectrum Self-Report Questionnaire: Psychometric Properties of Lifetime and Last-week Version

BACKGROUND

Mood Spectrum Self Report (MOODS-SR) is an instrument that assesses mood spectrum symptomatology including subthreshold manifestations and temperamental features. There are different versions of the MOODS-SR for different time frames of symptom assessment: lifetime (MOODS-LT), last-month and last-week (MOODS-LW) versions.

OBJECTIVE

To evaluate the psychometric properties of the MOODS-LT the MOODS-LW.

METHODS

The reliability of the MOODS-LT and MOODS-LW was evaluated in terms of internal consistency and partial correlations among domains and subdomains. The known-group validity was tested by comparing out-patients with bipolar disorder (n=27), unipolar depression (n=8) healthy controls (n=68). The convergent and divergent validity of MOODS-LW were evaluated using the Montgomery Åsberg Depression Rating Scale (MADRS), the Young-Ziegler Mania Rating Scale (YMRS) in outpatients as well the General Health Questionnaire (GHQ-12) in healthy controls.

RESULTS

Both MOODS-LT and MOOODS-LW showed high internal consistency with the Kuder-Richardson coefficient ranging from 0.823 to 0.985 as well as consistent correlations for all domains and subdomains. The last-week version correlated significantly with MADRS (r= 0.79) and YMRS (r=0.46) in outpatients and with GHQ-12 (r= 0.50 for depression domain, r= 0.29 for rhythmicity) in healthy controls.

CONCLUSION

The Swedish version of the MOODS-LT showed similar psychometric properties to other translated versions. Regarding MOODS-LW, this first published psychometric evaluation of the scale showed promising psychometric properties including good correlation to established symptom assessment scales. In healthy controls, the depression and rhythmicity domain scores of the last-week version correlated significantly with the occurrence of mild psychological distress.

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.

Distinguishing bipolar II depression from unipolar major depressive disorder: Differences in heart rate variability

OBJECTIVES

Bipolar II (BPII) depression is commonly misdiagnosed as unipolar depression (UD); however, an objective and reliable tool to differentiate between these disorders is lacking. Whether cardiac autonomic function can be used as a biomarker to distinguish BPII from UD is unknown.

METHODS

We recruited 116 and 591 physically healthy patients with BPII depression and UD, respectively, and 421 healthy volunteers aged 20-65 years. Interviewer and self-reported measures of depression/anxiety severity were obtained. Cardiac autonomic function was evaluated by heart rate variability (HRV) and frequency-domain indices of HRV.

RESULTS

Patients with BPII depression exhibited significantly lower mean R-R intervals, variance (total HRV), low frequency (LF)-HRV, and high frequency (HF)-HRV but higher LF/HF ratio compared to those with UD. The significant differences remained after adjusting for age. Compared to the controls, the patients with BPII depression showed cardiac sympathetic excitation with reciprocal vagal impairment, whereas the UD patients showed only vagal impairment. Depression severity independently contributed to decreased HRV and vagal tone in both the patients with BPII depression and UD, but increased sympathetic tone only in those with BPII depression.

CONCLUSIONS

HRV may aid in the differential diagnosis of BPII depression and UD as an adjunct to diagnostic interviews.

Impact of Mood Spectrum Spirituality and Mysticism Symptoms on Suicidality in Earthquake Survivors with PTSD

The aim of the present study was to explore the correlations between Spirituality/Mysticism/Psychoticism symptoms and suicidality in young adult survivors of the L'Aquila earthquake. The sample included 475 subjects recruited among high school seniors who had experienced the April 6, 2009, earthquake. Assessments included: Trauma and Loss Spectrum-Self Report and Mood Spectrum-Self Report (MOODS-SR). Mysticism/Spirituality dimension and suicidality were evaluated by means of some specific items of the MOOD-SR. The Spirituality/Mysticism/Psychoticism MOODS-SR factor score was significantly higher among subjects with PTSD diagnosis with respect to those without. Similarly, subjects with suicidal ideation, as well as those who committed a suicide attempt, reported significantly higher scores than those without.

Temperament and character personality profile and affective temperaments in self-poisoning nonlethal suicide attempters

Involvement of personality traits in susceptibility to suicidal behaviour has attracted considerable research interest over the past decades. This study was motivated by reports that emotionality may play a potentially confounding role in the association between the personality profile and suicidal behaviour. We assessed the association between personality traits, as measured using the Temperament and Character Inventory (TCI), and suicidal behaviour, while controlling for the effects of Affective Temperaments, measured using the Temperament Evaluation of the Memphis, Pisa, Paris and San Diego auto-questionnaire (TEMPS-A) in a sample of 140 consecutive self-poisoning nonlethal suicide (SNS) attempters admitted to the Emergency Toxicology Clinic, comparing them with a sample of 140 age and sex matched healthy controls. After controlling for Affective Temperaments, the temperament dimension of Novelty Seeking (NS) and the character dimensions of Self-directedness and Self-transcendence remained significantly associated with SNS attempts. NS, in particular, was most consistently and uniquely associated with suicidal behaviour. The present study conveys the difficulty in disentangling the personality profile of SNS attempters from their emotionality. We conclude that the risk associated with certain personality traits is often entirely mediated by Affective Temperaments and few dimensions independently contribute to the risk of self-poisoning nonlethal suicidal behaviour.

Childhood IQ and risk of bipolar disorder in adulthood: prospective birth cohort study

BACKGROUND

Intellectual ability may be an endophenotypic marker for bipolar disorder.

AIMS

Within a large birth cohort, we aimed to assess whether childhood IQ (including both verbal IQ (VIQ) and performance IQ (PIQ) subscales) was predictive of lifetime features of bipolar disorder assessed in young adulthood.

METHOD

We used data from the Avon Longitudinal Study of Parents and Children (ALSPAC), a large UK birth cohort, to test for an association between measures of childhood IQ at age 8 years and lifetime manic features assessed at age 22-23 years using the Hypomania Checklist-32 (HCL-32; n=1881 individuals). An ordinary least squares linear regression model was used, with normal childhood IQ (range 90-109) as the referent group. We adjusted analyses for confounding factors, including gender, ethnicity, handedness, maternal social class at recruitment, maternal age, maternal history of depression and maternal education.

RESULTS

There was a positive association between IQ at age 8 years and lifetime manic features at age 22-23 years (Pearson's correlation coefficient 0.159 (95% CI 0.120-0.198), P>0.001). Individuals in the lowest decile of manic features had a mean full-scale IQ (FSIQ) which was almost 10 points lower than those in the highest decile of manic features: mean FSIQ 100.71 (95% CI 98.74-102.6) v. 110.14 (95% CI 107.79-112.50), P>0.001. The association between IQ and manic features was present for FSIQ, VIQ and for PIQ but was strongest for VIQ.

CONCLUSIONS

A higher childhood IQ score, and high VIQ in particular, may represent a marker of risk for the later development of bipolar disorder. This finding has implications for understanding of how liability to bipolar disorder may have been selected through generations. It will also inform future genetic studies at the interface of intelligence, creativity and bipolar disorder and is relevant to the developmental trajectory of bipolar disorder. It may also improve approaches to earlier detection and treatment of bipolar disorder in adolescents and young adults.

DECLARATION OF INTEREST

None.

COPYRIGHT AND USAGE

© The Royal College of Psychiatrists 2015. This is an open access article distributed under the terms of the Creative Commons Non-Commercial, No Derivatives (CC BY-NC-ND) licence.

Mood Spectrum Model: Evidence reconsidered in the light of DSM-5

AIM: to investigate studies conducted with the Mood Spectrum Structured Interviews and Self-Report versions (SCI-MOODS and MOODS-SR).

METHODS: We conducted a review of studies published between 1997 and August 2014. The search was performed using Pubmed and PsycINFO databases. Analysis of the papers followed the inclusion and exclusion criteria recommended by the PRISMA Guidelines, namely: (1) articles that presented a combination of at least two terms, “SCI-MOODS” [all fields] or “MOODS-SR” [all fields] or “mood spectrum” [all fields]; (2) manuscript in English; (3) original articles; and (4) prospective or retrospective original studies (analytical or descriptive), experimental or quasi-experimental studies. Exclusion criteria were: (1) other study designs (case reports, case series, and reviews); (2) non-original studies including editorials, book reviews and letters to the editor; and (3) studies not specifically designed and focused on SCI-MOODS or MOODS-SR.

RESULTS: The search retrieved 43 papers, including 5 reviews of literature or methodological papers, and 1 case report. After analyzing their titles and abstracts, according to the eligibility criteria, 6 were excluded and 37 were chosen and included. The SCI-MOODS and the MOODS-SR have been tested in published studies involving 52 different samples across 4 countries (Italy, United States, Spain and Japan). The proposed mood spectrum approach has demonstrated its usefulness mainly in 3 different areas: (1) Patients with the so-called “pure” unipolar depression that might manifest hypomanic atypical and/or sub-threshold aspects systematically detectable with the mood questionnaire; (2) Spectrum features not detected by other instruments are clinically relevant, because they might manifest in waves during the lifespan, sometimes together, sometimes alone, sometimes reaching the severity for a full-blown disorder, sometimes interfering with other mental disorders or complicating the course of somatic diseases; and (3) Higher scores on the MOODS-SR factors assessing “psychomotor disturbances”, “mixed instability” and “suicidality” delineate subtypes of patients characterized by the more severe forms of mood disorders, the higher risk for psychotic symptoms, and the lower quality of life after the remission of the full-blown-episode.

CONCLUSION: The mood spectrum model help researchers and clinicians in the systematic assessment of those areas of psychopathology that are still neglected by the Diagnostic and Statistical Manual of Mental Disorders 5 classification.

Decreased plasma levels of brain-derived neurotrophic factor (BDNF) during mixed episodes of bipolar disorder

BACKGROUND

Brain-derived neurotrophic factor (BDNF) is a neurotrophin involved in neurogenesis and neuroplasticity. Decreased blood levels of BDNF have been found during acute manic and depressive states. BDNF has been proposed as a biomarker in illness phases of mood disorders. No information is available regarding BDNF levels during the mixed states of bipolar disorder (BD). The aim of this study was to evaluate BDNF levels during mixed episodes of BD patients and compare them with those of healthy subjects and depressed patients.

METHODS

Plasma BDNF levels were measured by an ELISA assay in 18 patients with major depressive episode (MDE), 19 patients with mixed episode (ME) and 15 healthy subjects (HS).

RESULTS

BDNF levels were significantly higher in HS, as compared with patients׳ samples (HS vs. MDE patients: p<001; HS vs. ME patients: p=.022). No significant differences were found between BDNF levels of ME and MDE patients. The severity of illness as assessed by CGI-S was significantly higher in ME than in MDE patients (p=.01).

LIMITATIONS

The small sample size may have weakened the power of statistical analyses. All patients received mood-stabilizing and antidepressant treatments which have been reported to influence peripheral BDNF levels.

CONCLUSIONS

Our results are consistent with previous studies showing reduced BDNF during both manic and depressive episodes. This finding supports the role of BDNF as a state-marker of mood episodes, and may represent a contribution to a unitary approach model between unipolar and BDs, as well as to the manic-depressive spectrum model.

Risk factors for suicidal ideations in patients with bipolar disorder

OBJECTIVE

To identify the risk factors for suicidal ideation in subjects with bipolar depression.

METHODS

One-hundred and thirty subjects diagnosed with bipolar depression were evaluated on the following scales: Beck Depression Inventory (BDI), Beck Hopelessness Scale (BHS), Patient Health Questionnaire-15 (PHQ-15), Barrat's Impulsivity Scale (BIS), Irritability, Anxiety, and Depression (IDA) Scale, Young Mania Rating Scale (YMRS), Buss-Durke Hostile Inventory (BDHI), and Brief Psychiatric Rating Scale (BPRS).

RESULTS

Based on the BDI suicidal thoughts and wishes item (score of ≥ 1), the study sample was divided into those with and those without suicidal ideation. Compared to those without suicidal ideations, patients with bipolar depression with suicidal ideation had significantly higher scores on the BDI, YMRS, BPRS total score, IDA total score, PHQ-15, BHS total score, and most of the hostility subscales of the BHI. [corrected]. On binary logistic regression analysis, the odds ratio (OR) for [corrected] presence of suicidal ideations was more than one and was significant for the BHS [OR = 1.53, [corrected] 95% confidence interval (CI): 1.24-1.99], the IDA-irritability directed inwards (OR = 1.48, 95% CI: 1.03-2.13), and the total hostility score (OR = 1.10, 95% CI: 1.02-1.20). Other factors for which the OR was more than one but the difference was not statistically significant were: Hindu religion (OR = 3.13, 95% CI: 0.76-12.99), lifetime mean duration of depressive episodes (OR = 1.08, 95% CI: 0.74-1.57), past history of hospitalization (OR = 1.10, 95% CI: 0.24-6.16), any preceding life events (OR = 1.45, 95% CI: 0.28-7.52), subsyndromal manic symptoms (OR = 1.01, 95% CI:0.53-1.92), presence of psychotic symptoms (OR = 1.06, 95% CI: 0.92-1.22), and irritability directed outwards (OR = 1.14, 95% CI: 0.92-1.41). [corrected].

CONCLUSION

Among the various predictors of suicidal ideations, the severity of hopelessness, irritability directed inwards, and hostility are the most important risk factors for suicidal ideations in patients with bipolar disorder. [corrected]. Hence, patients with these risk factors should be closely monitored to prevent suicide attempts and completed suicides.

Gender differences in DSM-5 versus DSM-IV-TR PTSD prevalence and criteria comparison among 512 survivors to the L'Aquila earthquake

BACKGROUND

Post-traumatic Stress Disorder (PTSD) has demonstrated gender-specific prevalence and expressions across the different DSM definitions, since its first introduction in DSM-III. The DSM-5 recently introduced important revisions to PTSD symptomatological criteria. Aim of the present study is to explore whether gender moderates rates of DSM-5 PTSD expression in a non-clinical sample of survivors to a massive earthquake in Italy.

METHODS

512 survivors of the L'Aquila 2009 earthquake, previously investigated for the presence DSM-IV-TR PTSD, were reassessed according to DSM-5 criteria in order to explore gender differences. All subjects completed the Trauma and Loss Spectrum-Self Report (TALS-SR).

RESULTS

Females showed significantly higher DSM-5 PTSD rates and rates of endorsement of almost all DSM-5 PTSD criteria. Significant gender differences emerged in almost half of PTSD symptomatological criteria with women reporting higher rates in 8 of them, while men in only one (a new symptom in DSM-5: reckless or self-destructive behavior). Considering the impact of the three new DSM-5 symptoms on the diagnosis, significant gender differences emerged with these being crucial in almost half of the PTSD diagnoses in males but in about one-fourth in females. By using ROC curves, DSM-5 criteria E and D showed the highest AUC values in males (.876) and females (.837), respectively.

LIMITATIONS

The use of self-report instrument; no information on comorbidity; homogeneity of study sample; lack of assessment on functional impairment.

CONCLUSIONS

This study provides a contribution to the ongoing need for reassessment on how gender moderates rates of expression of particular disorders such as PTSD.

The genetics of major depression

Major depression is the commonest psychiatric disorder and in the U.S. has the greatest impact of all biomedical diseases on disability. Here we review evidence of the genetic contribution to disease susceptibility and the current state of molecular approaches. Genome-wide association and linkage results provide constraints on the allele frequencies and effect sizes of susceptibility loci, which we use to interpret the voluminous candidate gene literature. We consider evidence for the genetic heterogeneity of the disorder and the likelihood that subtypes exist that represent more genetically homogenous conditions than have hitherto been analyzed.

Improving the psychometric utility of the hypomania checklist (HCL-32): a Rasch analysis approach

BACKGROUND

The HCL-32 is a widely-used screening questionnaire for hypomania. We aimed to use a Rasch analysis approach to (i) evaluate the measurement properties, principally unidimensionality, of the HCL-32, and (ii) generate a score table to allow researchers to convert raw HCL-32 scores into an interval-level measurement which will be more appropriate for statistical analyses.

METHODS

Subjects were part of the Bipolar Disorder Research Network (BDRN) study with DSM-IV bipolar disorder (n=389). Multidimensionality was assessed using the Rasch fit statistics and principle components analysis of the residuals (PCA). Item invariance (differential item functioning, DIF) was tested for gender, bipolar diagnosis and current mental state. Item estimates and reliabilities were calculated.

RESULTS

Three items (29, 30, 32) had unacceptable fit to the Rasch unidimensional model. Item 14 displayed significant DIF for gender and items 8 and 17 for current mental state. Item estimates confirmed that not all items measure hypomania equally.

LIMITATIONS

This sample was recruited as part of a large ongoing genetic epidemiology study of bipolar disorder and may not be fully representative of the broader clinical population of individuals with bipolar disorder.

CONCLUSION

The HCL-32 is unidimensional in practice, but measurements may be further strengthened by the removal of four items. Re-scored linear measurements may be more appropriate for clinical research.