Toward a re-definition of subthreshold bipolarity: epidemiology and proposed criteria for bipolar-II, minor bipolar disorders and hypomania

The social cognitive ability in Han Chinese euthymic patients with bipolar I and bipolar II disorder

BACKGROUND/PURPOSE

Although social cognitive deficits were found in euthymic patients of bipolar disorder (BD), the characteristics of social cognition in Han Chinese euthymic BD patients remain obscure. This study aimed to examine social cognition in Han Chinese euthymic BD patients relative to healthy controls (HC). Moreover, we explore the differences in social cognition between euthymic BD I and BD II patients.

METHODS

43 Han Chinese BD patients (BD-I:25, BD-II:18) and 28 HC were recruited. All patients were euthymic (Young Mania Rating Scale (YMRS) ≤ 7 and Hamilton Depression Rating Scale (HDRS) ≤ 7). Social cognitive ability was measured using Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT), including 4 branches: perceiving emotions, facilitating emotions, understanding emotions, and managing emotions. Continuous performance Test (CPT) and Wisconsin Card Sorting Test (WCST) were used to examine attention and executive function.

RESULTS

Significant difference in understanding emotions branch of MSCEIT was found between BD patients and HCs (Mann-Whitney U test, p = 0.005). Besides, BD patients had significantly worse performance in WCST and CPT. However, the differences in WCST, CPT, MSCEIT total scores and its subscales were not significant between BD I and BD II patients.

CONCLUSION

Euthymic Han Chinese BD patients exhibit significant social cognitive deficits in understanding emotion and cognitive dysfunction in attention and executive function. Furthermore, Han Chinese BD I patients showed similar social cognitive and general cognitive ability as compared with BD II patients. Social cognitive rehabilitation on both euthymic BD I and II patients should be considered.

Behavioral activation system (BAS) dysregulation and bipolar spectrum psychopathology in daily life: An online-diary study

Dysregulation of the behavioral activation system (BAS) has been theorized to be a core factor underlying mood swings in bipolar disorder (BD). However, few studies have directly addressed BAS dysregulation and more research is needed to understand its dynamic expression in daily life. The aim of this study was to directly assess BAS dysregulation, and to examine its moderating effect on the relationship between life events and bipolar spectrum symptoms via multilevel modeling. Korean young adults (n = 100) were screened using the Hypomanic Personality Scale (HPS) from a large sample (N = 1,591). They completed online diaries for 7 consecutive days including the Daily Events Record as well as bipolar spectrum symptoms. BAS-activating and/or -deactivating scores were allocated to each reported life event by an expert consensus rating. Cross-level interaction analysis showed that the occurrence of BA life events contributed to a steeper increase in bipolar spectrum symptoms, particularly for individuals with high BAS dysregulation. The present study suggests that BAS dysregulation is a unique construct that deserves further exploration in BD.

The Globalization of Biological Psychiatry and the Rise of Bipolar Spectrum Disorder in Iran

In recent years, psychiatry in Iran witnessed a dramatic increase in the use of the diagnosis of bipolar spectrum disorder (BSD). This qualitative study maps the journey of the BSD diagnosis from the West to Iran, examines the controversy surrounding the diagnosis and its treatment, and explores some of the structural factors that facilitate and maintain the widespread use of the BSD diagnosis in Iran and related practices of prescribing neuroleptic and mood stabilizers. The study methods include archival research and semi-structured interviews with 25 prominent Iranian psychiatrists in the field of mood disorders. Results show the importance of factors in addition to economics in driving changes in diagnostic fashion. Most psychiatrists interviewed reported what they viewed as an over-diagnosis of bipolar disorder and over-prescription of mood stabilizers and atypical antipsychotics among Iranian psychiatrists over the past decade. In addition to the influence of leading figures of American psychiatry, the dominance of Western psychiatric classifications and textbooks in Iran's psychiatry, and indirect intervention by pharmaceutical companies, local structural and political factors have played a significant role in the Iranian psychiatric system's embrace of the new concept of bipolarity. In Iran, the medicalization of social conflict has been embraced by government, families, and psychiatrists for cross-cutting purposes. These challenges and the continued controversy over the adoption of American psychiatric fads in a non-Western country like Iran point to the importance of elaborating a more ecosocial and cultural view of psychiatric practice to disentangle some of the complex trade-offs involved in adopting particular modes of diagnostic practice.

A Latent Class Analysis of Manic and Psychotic Symptoms

Bipolar spectrum disorders encompass heterogeneous clinical manifestations and comorbidities. A latent class analysis (LCA) was performed in 1846 subjects who experienced an episode of abnormally elevated or irritable mood to identify homogeneous groups of subjects, based on the distribution of 11 manic and 7 psychotic symptoms. LCA identified five classes: 1) two classes with irritability and with low and high level of psychosis (respectively "irritable," 29.1% of the sample, and "irritable-psychotic," 16.2%); 2) a class with expansive mood and hyperactivity ("expansive-hyperactive," 12.7%); and 3) two classes with manic symptoms and high and low level of psychosis ("manic-psychotic," 15.0%, and "manic," 27.2%). "Irritable" displayed lower rates of depressive episode, panic, and substance use disorders. Manic-psychotic displayed higher rates of depressive episode, panic, generalized anxiety, and substance use disorders. Use of mental health treatment more frequent in manic-psychotic and manic classes. Five classes of bipolar spectrum disorders were characterized by different sociodemographic and clinical patterns.

Affective and Psychotic Disorders in War-Torn Eastern Part of the Democratic Republic of the Congo: A Cross-Sectional Study

BACKGROUND

There is lack of information about prevalence of affective and psychotic disorders triggered by traumatic events among people living in war-affected regions. This study is aimed at determining the prevalence rate of affective and psychotic disorders and the associated factors in a war-torn eastern part of Democratic Republic of the Congo.

METHODS

This epidemiological cross-sectional descriptive study was carried out from 1^st January 2019 to 31^st December 2019 at Cepima and Muyisa health centers. This study enrolled 344 patients that had experienced traumatic events in Eastern Democratic Republic of the Congo from the 1119 participants, of whom 229 had positive bipolar affective disorder and 115 patients had psychotic disorders.

RESULTS

The results revealed that bipolar affective disorders were two times more than psychotic disorders. Sexual abuse, sudden death of a relative, kidnapping, the physical torture, and childhood trauma were the psychological factors correlated to the occurrence of bipolar affective and psychotic disorders.

CONCLUSIONS

It was concluded that the traumatic experiences were precursors for the occurrence of bipolar affective and psychotic spectrum disorders.

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.

Early recognition of bipolar disorder

Bipolar disorders are frequently not diagnosed until long after their onset, leaving patients with no or correspondingly inadequate treatment. The course of the disorder is all the more severe and the negative repercussions for those affected all the greater. Concerted research effort is therefore going into learning how to recognize bipolar disorders at an early stage. Drawing on current research results, this paper presents considerations for an integrative Early Symptom Scale with which persons at risk can be identified and timely intervention initiated. This will require prospective studies to determine the predictive power of the risk factors integrated into the scale.

Differential biomarker signatures in unipolar and bipolar depression: A machine learning approach

OBJECTIVE

This study used machine learning techniques combined with peripheral biomarker measurements to build signatures to help differentiating (1) patients with bipolar depression from patients with unipolar depression, and (2) patients with bipolar depression or unipolar depression from healthy controls.

METHODS

We assessed serum levels of interleukin-2, interleukin-4, interleukin-6, interleukin-10, tumor necrosis factor-α, interferon-γ, interleukin-17A, brain-derived neurotrophic factor, lipid peroxidation and oxidative protein damage in 54 outpatients with bipolar depression, 54 outpatients with unipolar depression and 54 healthy controls, matched by sex and age. Depressive symptoms were assessed using the Hamilton Depression Rating Scale. Variable selection was performed with recursive feature elimination with a linear support vector machine kernel, and the leave-one-out cross-validation method was used to test and validate our model.

RESULTS

Bipolar vs unipolar depression classification achieved an area under the receiver operating characteristics (ROC) curve (AUC) of 0.69, with 0.62 sensitivity and 0.66 specificity using three selected biomarkers (interleukin-4, thiobarbituric acid reactive substances and interleukin-10). For the comparison of bipolar depression vs healthy controls, the model retained five variables (interleukin-6, interleukin-4, thiobarbituric acid reactive substances, carbonyl and interleukin-17A), with an AUC of 0.70, 0.62 sensitivity and 0.7 specificity. Finally, unipolar depression vs healthy controls comparison retained seven variables (interleukin-6, Carbonyl, brain-derived neurotrophic factor, interleukin-10, interleukin-17A, interleukin-4 and tumor necrosis factor-α), with an AUC of 0.74, a sensitivity of 0.68 and 0.70 specificity.

CONCLUSION

Our findings show the potential of machine learning models to aid in clinical practice, leading to more objective assessment. Future studies will examine the possibility of combining peripheral blood biomarker data with other biological data to develop more accurate signatures.

Dimensional and discrete variations on the psychosis continuum in a Dutch crowd-sourcing population sample

Background

Mild psychotic experiences are common in the general population. Although transient and benign in most cases, these experiences are predictive of later mental health problems for a significant minority. The goal of the present study was to perform examinations of the dimensional and discrete variations in individuals’ reporting of subclinical positive and negative psychotic experiences in a unique Dutch internet-based sample from the general population.

Methods

Positive and negative subclinical psychotic experiences were measured with the Community Assessment of Psychic Experiences in 2870 individuals. First, the prevalence of these experiences and their associations with demographics, affect, psychopathology and quality of life were investigated. Next, latent class analysis was used to identify data-driven subgroups with different symptom patterns, which were subsequently compared on aforementioned variables.

Results

Subclinical psychotic experiences were commonly reported. Both positive and negative psychotic experiences were associated with younger age, more negative affect, anxiety and depression as well as less positive affect and poorer quality of life. Seven latent classes (‘Low psychotic experiences’, ‘Lethargic’, ‘Blunted’, ‘Distressed’, ‘Paranormal’, ‘Distressed_grandiose’ and ‘Distressed/positive psychotic experiences’) were identified that demonstrated both dimensional differences in the number/severity of psychotic experiences and discrete differences in the patterns of reported experiences.

Conclusion

Subclinical psychotic experiences show both dimensional severity variations and discrete symptom-pattern variations across individuals. To understand and capture all interindividual variations in subclinical psychotic experiences, their number, nature and context (co-occurrence patterns) should be considered at the same time. Only some psychotic experiences may lay on a true psychopathological psychosis continuum.

The existential crisis of bipolar II disorder

The issue of categorical vs. dimensional classification of bipolar disorder continues to generate controversy as it has for generations. Despite the evidence that no psychiatric disorder has discrete boundaries separating pathological and nonpathological states, and within a disorder, no clear differences separate subtypes-which would suggest a more dimensional approach-there are valid reasons to continue with our current categorical system, which distinguishes bipolar I from bipolar II disorder. Complicating the issue, a number of interested constituencies, including patients and their families, clinicians, scientists/researchers, and governmental agencies and insurance companies have different interests and needs in this controversy. This paper reviews both the advantages and disadvantages of continuing the bipolar I/bipolar II split vs. redefining bipolar disorder as one unified diagnosis. Even with one unified diagnosis, other aspects of psychopathology can be used to further describe and classify the disorder. These include both predominant polarity and categorizing symptoms by ACE-activity, cognition and energy. As a field, we must decide whether changing our current classification before we have a defining biology and genetic profile of bipolar disorder is worth the disruption in our current diagnostic system.

Serum miRNA as a possible biomarker in the diagnosis of bipolar II disorder

The diagnosis of Bipolar II disorder (BD-II) is currently based on the patients' description of symptoms and clinical behavioral observations. This study explored the possibility of miRNA in peripheral blood (serum) as a specific biomarker for BD-II. We identified 6 candidate miRNAs to differentiate BD-II patients from controls using next-generation sequencing. We then examined these candidate miRNAs using real-time PCR in the first cohort (as training group) of 79 BD-II and 95 controls. A diagnostic model was built based on these candidate miRNAs and then tested on an individual testing group (BD-II: n = 20, controls: n = 20). We found that serum expression levels of miR-7-5p, miR-23b-3p, miR-142-3p, miR-221-5p, and miR-370-3p significantly increased in BD-II compared with controls in the first cohort, whereas that of miR-145-5p showed no significant difference. The diagnostic power of the identified miRNAs was further analyzed using receiver-operating characteristic (ROC). Support vector machine (SVM) measurements revealed that a combination of the significant miRNAs reached good diagnostic accuracy (AUC: 0.907). We further examined an independent testing group and the diagnostic power reached fair for BD-II (specificity = 90%, sensitivity = 85%). We constructed miRNA panels using SVM model, which may aid in the diagnosis for BD-II.

The link between bipolarity and substance use: A controlled clinic based study

OBJECTIVES

Because of high rates of co-occurrence, common familial risk, and phenotypic similarities, we conjectured that substance use and bipolar disorder might have a common substrate of origin in bipolarity and that they might lie on a continuum of bipolarity. Thus it was aimed to investigate the association between bipolarity and substance use through a controlled, clinic based study.

METHODS

Cross sectional assessment and comparison of bipolarity as trait in four groups, namely the substance use disorder (SUD), bipolar disorder (BPAD), dual diagnosis (DD), and the healthy control (HC) groups. Bipolar spectrum diagnostic scale (BSDS) was used. The quality of life in these four groups was also assessed using WHOQOL-Bref scale.

RESULTS

The mean Bipolar spectrum diagnostic scale (BSDS) score in SUD was 11.0 ± 5.3 which was more than that of HC (6.2 ± 3.9) and lesser than that in BPAD (18.4 ± 4.2) and DD (20.6 ± 3.6). Differences among all four groups were statistically significant. SUD group was found to have significantly higher score than healthy control. The BSDS score of DD and BPAD groups were higher than those of SUD but the difference between BPAD and DD was non-significant.

DISCUSSION

The results showed a potential association between substance dependence and bipolarity. Mood dysregulation appears to be the link between the two. The gradient of bipolarity detected by BSDS screener suggests a continuum model between substance use and bipolar disorder. However, this is a clinic based study and only male patients have been taken for study.

Plasma microRNA Array Analysis Identifies Overexpressed miR-19b-3p as a Biomarker of Bipolar Depression Distinguishing From Unipolar Depression

OBJECTIVES

The clinical characteristics of bipolar disorder (current major depressive episode) (BD) overlap with unipolar depressive disorder (UD), which makes it difficult to perform an accurate diagnosis. We identified plasma microRNAs (miRNAs) that distinguished BD from UD and explored the relationship between miRNA expression levels and clinical characteristics.

METHODS

Total miRNAs from blood plasma from seven UD patients, seven BD patients, and six controls were analyzed. The identified miRNAs were validated in a separate population group. Depression severity and early life adversities were assessed. Bioinformatic analysis was conducted to investigate the target genes that were identified and the pathways associated with the altered miRNAs.

RESULTS

Compared to controls, 42 miRNAs were differentially expressed in patients. miR-19b-3p, miR-3921, and miR-1180-3p were selected to validate the microarray results. Only miR-19b-3p was validated as down-regulated in patients. The primary predicted genes associated with miR-19b-3p were MAPK1, PTEN, and PRKAA1. The most relevant KEGG pathways included mTOR, FoxO, and the PI3-K/Akt signaling pathway. BD patients were more likely to have higher expression levels of miR-19b-3p and more severe childhood trauma experience compared to UD patients.

CONCLUSIONS

Plasma miR-19b-3p is a potential non-invasive biomarker that might be useful in distinguishing UD from BD. miR-19b3p was predicted to be involved in the pathway of inflammatory dysregulation associated with experiencing early childhood trauma.

Borderline Personality Disorder With Depression Confers Significant Risk of Suicidal Behavior in Mood Disorder Patients-A Comparative Study

OBJECTIVE

We investigated risk factors for suicidal ideation and behavior among currently depressed patients with major depressive disorder (MDD), major depressive episode (MDE) in bipolar disorder (BD), or MDE with comorbid borderline personality disorder (MDE/BPD). We compared current and lifetime prevalence of suicidal ideation and behavior, and investigated dimensional measures of BPD or mixed affective features of the MDE as indicators of risk.

METHODS

Based on screening of 1,655 referrals, we recruited 124 psychiatric secondary care outpatients with MDE and stratified them into three subcohorts (MDD, BD, and MDE/BPD) using the Structured Clinical Interview for DSM-IV I and II. We examined suicidal ideation and behavior with the Columbia Suicide Severity Rating Scale (CSSRS). In addition, we quantified the severity of BPD symptoms and BD mixed features both categorically/diagnostically and dimensionally (using instruments such as the Borderline Personality Disorder Severity Index) in two time frames.

RESULTS

There were highly significant differences between the lifetime prevalences of suicide attempts between the subcohorts, with attempts reported by 16% of the MDD, 30% of the BD, and 60% of the BPD subcohort. Remarkably, the lifetime prevalence of suicide attempts in patients with comorbid BD and BPD exceeded 90%. The severity of BPD features was independently associated with risk of suicide attempts both lifetime and during the current MDE. It also associated in a dose-dependent manner with recent severity of ideation in both BPD and non-BPD patients. In multinominal logistic regression models, hopelessness was the most consistent independent risk factor for severe suicidal ideation in both time frames, whereas younger age and more severe BPD features were most consistently associated with suicide attempts.

CONCLUSIONS

Among patients with major depressive episodes, diagnosis of bipolar disorder, or presence of comorbid borderline personality features both imply remarkably high risk of suicide attempts. Risk factors for suicidal ideation and suicidal acts overlap, but may not be identical. The estimated severity of borderline personality features seems to associate with history of suicidal behavior and current severity of suicidal ideation in dose-dependent fashion among all mood disorder patients. Therefore, reliable assessment of borderline features may advance the evaluation of suicide risk.

Investigating the relationship between melatonin levels, melatonin system, microbiota composition and bipolar disorder psychopathology across the different phases of the disease

Background

Bipolar disorder (BD) is characterized by recurrent episodes of depression and mania/hypomania alternating with intervals of well-being. The neurobiological underpinnings of BD are still veiled although there is evidence pointing to a malfunction of the circadian clock system that is regulated by the neuromodulator melatonin (MLT). Small sample size studies in BD patients have shown that changes in the levels of MLT are associated with shifts in illness status. Moreover, mood stabilizers (including lithium and valproic acid) influence the MLT system. Of interest, MLT also modulates intestinal microbiota, and recent work suggests an important role of microbiota alterations in neuropsychiatric disorders, including BD. This study is designed to explore whether the possible patterns of associations between changes in the levels of MLT and its precursors and BD mood phases are modulated by variants within the genes encoding for the elements of the MLT system and/or by the microbiota composition.

Methods

We will conduct a 2-year follow-up study in 50 BD patients during the three different mood phases of the disease. For each phase, we will perform a blood withdrawal for the analysis of MLT levels and of variants of the genes related to the MLT pathway between 8 and 10 a.m. after an overnight fasting, a stool specimen collection for the analysis of microbiota composition, and a detailed psychometric assessment for depression, mania, impulsivity and cognitive abilities. We will also recruit 50 healthy age-matched controls in whom we will perform a blood withdrawal between 8 and 10 a.m. after an overnight fasting, a stool specimen collection, and a psychometric assessment to exclude the presence of psychiatric disorders.

Discussion

In this cross sectional (case–control vs. BD comparisons) and longitudinal (24 months) study, we expect to clarify the link between the MLT system, microbiota and BD psychopathology. We expect to identify some typical BD symptomatic clusters that will be more strictly associated with variations in the MLT system. In a personalized medicine perspective, this subgroup of BD patients may benefit from a pharmacological therapy targeting the MLT system.

Trial registration This study protocol was approved by the Ethics Committee of the University Hospital Agency of Cagliari (PG/2019/6277)

The role of different patterns of psychomotor symptoms in major depressive episode: Pooled analysis of the BRIDGE and BRIDGE-II-MIX cohorts

BACKGROUND

Psychomotor agitation (PA) or retardation (PR) during major depressive episodes (MDEs) have been associated with depression severity in terms of treatment-resistance and course of illness.

OBJECTIVES

We investigated the possible association of psychomotor symptoms (PMSs) during a MDE with clinical features belonging to the bipolar spectrum.

METHODS

The initial sample of 7689 MDE patients was divided into three subgroups based on the presence of PR, PA and non-psychomotor symptom (NPS). Univariate comparisons and multivariate logistic regression models were performed between subgroups.

RESULTS

A total of 3720 patients presented PR (48%), 1971 showed PA (26%) and 1998 had NPS (26%). In the PR and PA subgroups, the clinical characteristics related to bipolarity, along with the diagnosis of bipolar disorder (BD), were significantly more frequent than in the NPS subgroup. When comparing PA and PR patients, the former presented higher rates of bipolar spectrum features, such as family history of BD (OR = 1.39, CI = 1.20-1.61), manic/hypomanic switches with antidepressants (OR = 1.28, CI = 1.11-1.48), early onset of first MDE (OR = 1.40, CI = 1.26-1.57), atypical (OR = 1.23, CI = 1.07-1.42) and psychotic features (OR = 2.08, CI = 1.78-2.44), treatment with mood-stabilizers (OR = 1.39, CI = 1.24-1.55), as well as a BD diagnosis according to both the DSM-IV criteria and the bipolar specifier criteria. When logistic regression model was performed, the clinical features that significantly differentiated PA from PR were early onset of first MDE, atypical and psychotic features, treatment with mood-stabilizers and a BD diagnosis according to the bipolar specifier criteria.

CONCLUSIONS

Psychomotor symptoms could be considered as markers of bipolarity, illness severity, and treatment complexity, particularly if PA is present.

Bipolar spectrum disorder: What evidence for pharmacological treatment? A systematic review

BACKGROUND AND OBJECTIVES

Bipolar spectrum disorder (BSD) is an extended concept of bipolar disorder (BD) that includes conditions that do not fulfill the criteria. There is no recommendation today about its treatment. We reviewed relevant literature focusing on pharmacological treatments, looking for high-strength evidence leading to guidelines.

METHODOLOGY

A literature search was conducted using MedLine / PubMed database and Google Scholar up to September 2018. Search words were related to BSD and pharmacological treatment.

RESULTS

The literature search yielded 621 articles. Out of these, 35 articles met our selection criteria. There was limited high quality data. Only one randomized control trial (RCT) and one randomized open label trial were found. Most studies used different definition of BSD.

CONCLUSIONS

There is a considerable lack of data and no evidence supporting efficacy of pharmacological treatment for BSD. There is a need for a consensus on the definition of BSD and more evidence studies to evaluate drug's effectiveness in this condition.

Reactivity, Intensity, Polarity and Stability questionnaire (RIPoSt-40) assessing emotional dysregulation: Development, reliability and validity

BACKGROUND

Emotional dysregulation (ED) is a heterogenous construct with great relevance in psychiatric research and clinical practice. In the present study, we validated a 40-items version of the Reactivity, Intensity, Polarity and Stability questionnaire (RIPoSt-40), a self-report measure of ED.

METHODS

A non-clinical sample (N = 396) and two clinical samples of patients with cyclothymia (N = 120) and ADHD (N = 54) were recruited. Items were selected and subscales were derived based on inter-item correlations and PCA with promax rotation in the non-clinical sample. Test-retest reliability was assessed in a subsample (N = 60). Internal consistency and concurrent validity with TEMPS-M factors were evaluated in each sample. The three groups results were compared to ascertain discriminant validity.

RESULTS

Four subscales were identified as measures of affective instability, emotional impulsivity, negative and positive emotionality. The first three subscales also sum up to a negative ED score comprising thirty items. Measures of reliability (test-retest r = 0.71-0.84) and internal consistency (Cronbach's α = 0.72-0.95) were generally high. Concurrent validity was supported by correlations with TEMPS-M factors. Discriminant validity was significant (p < 0.001) with cyclothymic and ADHD patients showing higher scores for each subscale, except for positive emotionality.

LIMITATIONS

The non-clinical sample was recruited through a web-survey and mainly included young and highly educated subjects. Mood and anxiety comorbidity of the clinical samples were not taken into consideration.

CONCLUSION

RIPoSt-40 questionnaire has proved to be a valid, reliable and useful tool to assess ED both in clinical and non-clinical contexts.

Relationships between recurrence and polarity in major depressive disorders: Pooled analysis of the BRIDGE and BRIDGE-II-MIX cohorts

BACKGROUND

current classifications of mood disorders focus on polarity rather than recurrence, separating bipolar disorder from major depressive disorder (MDD). The aim of the present study is to explore the possible relationships between number and frequency of depressive episodes and clinical variables associated to bipolarity, in a large sample of MDD patients.

METHODS

the clinical characteristics of 7055 patients with MDD were analyzed and compared according to the number and frequency of depressive episodes. Two stepwise backward logistic regression model were used to identify the predictive value of clinical features based on the presence of high number (≥3 episodes) and high frequency (≥3 episodes/year) of depressive episodes.

RESULTS

high-recurrence and high-frequency MDD patients showed greater family history for bipolar disorder, higher prevalence of psychotic features, more suicide attempts, higher rates of treatment resistance and mood switches with antidepressants (ADs) and higher rates of bipolarity diagnosis according to Angst criteria, compared to low-recurrence and low-frequency patients. Logistic regressions showed that a brief current depressive episode, a previous history of treatment resistance and AD-induced mood switches, a diagnosis of bipolarity and comorbid borderline personality disorder were the variables associated with both high-recurrence and high-frequency depression.

LIMITATIONS

the study participating centers were not randomly selected and several variables were retrospectively assessed.

CONCLUSIONS

even in the absence of hypomanic/manic episodes, high-recurrence and high-frequency MDD seem to be in continuity with the bipolar spectrum disorders in terms of clinical features and, perhaps, treatment response.

The use of diffusional kurtosis imaging and neurite orientation dispersion and density imaging of the brain in bipolar disorder

BACKGROUND

Diffusional kurtosis imaging (DKI) and neurite orientation dispersion and density imaging (NODDI) are new diffusional magnetic resonance imaging (dMRI) techniques to clarify the characterization of neural tissues in the human brain. In this study, we evaluated the structural changes of the cerebrum in patients with bipolar disorder (BD) by these dMRI techniques.

METHODS

Thirty-one Japanese patients with BD (male/female: 14/17; 29 out of 31 patients were right-handed; mean age: 39.5 ± 9.3) and 28 healthy, right-handed Japanese subjects underwent 3-Tesla dMRI. We compared the dMRI metrics between the 2 groups and examined the relationships among the metrics.

LIMITATION

The majority of the participants in this study were medicated with antidepressants and antipsychotics. Further studies with drug-free participants will be needed before any conclusions can be drawn regarding microstructural changes in BD.

RESULTS

The BD patients showed significantly reduced mean kurtosis in right inferior front-occipital fasciculus and right posterior cingulate cortex (PCC), and neurite density indices in the right -PCC, compared with the controls. As for the orientation dispersion index, we detected significant decrease in the left hippocampal region of BD patients.

CONCLUSIONS

Using the new dMRI techniques, we observed disease-related alterations in the inferior front-occipital fasciculus, PCC, and hippocampal regions which play important roles in BD. These results may indicate that NODDI and DKI are useful to detect changes in the microstructural tissue organization in BD. It is anticipated that these techniques will be adopted as the mainstream methods for neuroimaging study.

Predicting Bipolar Disorder Risk Factors in Distressed Young Adults From Patterns of Brain Activation to Reward: A Machine Learning Approach

Background

The aim of this study was to apply multivariate pattern recognition to predict the severity of behavioral traits and symptoms associated with risk for bipolar spectrum disorder from patterns of whole-brain activation during reward expectancy to facilitate the identification of individual-level neural biomarkers of bipolar disorder risk.

Methods

We acquired functional neuroimaging data from two independent samples of transdiagnostically recruited adults (18–25 years of age; n = 56, mean age 21.9 ± 2.2 years, 42 women; n = 36, mean age 21.2 ± 2.2 years, 24 women) during reward expectancy task performance. Pattern recognition model performance in each sample was measured using correlation and mean squared error between actual and whole-brain activation–predicted scores on behavioral traits and symptoms.

Results

In the first sample, the model significantly predicted severity of a specific hypo/mania-related symptom, heightened energy, measured by the energy manic subdomain of the Mood Spectrum Structured Interviews (r = .42, p = .001; mean squared error = 9.93, p = .001). The region with the highest contribution to the model was the left ventrolateral prefrontal cortex. Results were confirmed in the second sample (r = .33, p = .01; mean squared error = 8.61, p = .01), in which the severity of this symptom was predicted using a bilateral ventrolateral prefrontal cortical mask (r = .33, p = .009, mean squared error = 9.37, p = .04).

Conclusions

The severity of a specific hypo/mania-related symptom was predicted from patterns of whole-brain activation in two independent samples. Given that emerging manic symptoms predispose to bipolar disorders, these findings could provide neural biomarkers to aid early identification of individual-level bipolar disorder risk in young adults.

Comparison of suicide attempts in individuals with major depressive disorder with and without history of subthreshold hypomania: A nationwide community sample of Korean adults✰,✰✰

BACKGROUND

Subthreshold hypomania is defined as a distinct period of elevated, expansive or irritable mood lasting for at least four days, but insufficient to fulfill the criteria of hypomania. This study aimed to investigate the association between suicidality and subthreshold hypomania in subjects with and without major depressive disorder (MDD).

METHODS

Face-to-face interviews were completed for 12,526 adults, randomly selected through a one-person-per-household method, using the Korean version of the Composite International Diagnostic Interview (K-CIDI) and a questionnaire relative to lifetime suicide attempts (LSA).

RESULTS

Of the 12,526 participants, 11,701 did not have MDD, and 825 were diagnosed with MDD. The MDD with subthreshold hypomania group (n = 72) revealed significantly higher rates of LSA and post-traumatic stress disorder (PTSD) than those without (n = 753). Compared to the no MDD without subthreshold hypomania group (n = 11,571), the no MDD with subthreshold hypomania group (n = 130) showed a significantly higher prevalence of suicidality and comorbid conditions. In multivariate logistic regression analyses of depressive symptoms, subthreshold hypomania was significantly associated with morning worsening of mood. The MDD with subthreshold hypomania group was significantly associated with LSA (AOR=16.82, 95% CI 9.81-28.83, p< 0.001), compared to the no MDD group without subthreshold hypomania. Compared to the MDD without subthreshold hypomania group, the MDD with subthreshold hypomania group revealed a significant association with LSA (AOR=2.08, 95% CI 1.20-3.62, p< 0.001).

CONCLUSIONS

A history of subthreshold hypomania doubled the risk of LSA in patients with MDD compared to those without subthreshold hypomania.

The relationship between attention deficit hyperactivity disorder, bipolarity and mixed features in major depressive patients: Evidence from the BRIDGE-II-Mix Study

OBJECTIVE

This study primarily focused on the relationship between comorbid attention deficit-hyperactivity disorder (ADHD), mixed features and bipolarity in major depressive patients.

METHODS

The sample comprised 2777 patients with Major Depressive Episode (MDE) enrolled in a multicentre, multinational study originally designed to assess different definitions of mixed depression. Socio-demographic, familial and clinical characteristics were compared in patients with (ADHD + ) and without (ADHD-) comorbid ADHD.

RESULTS

Sixty-one patients (2.2%) met criteria for ADHD. ADHD was associated with a higher number of (hypo)manic symptoms during depression. Mixed depression was more represented in ADHD + patients than in ADHD- using both DSM-5 and experimental criteria. Differences were maintained after removing overlapping symptoms between (hypo)mania and ADHD. ADHD in MDE was also associated with a variety of clinical and course features such as onset before the age of 20, first-degree family history of (hypo)mania, past history of antidepressant-induced (hypo)manic switches, higher number of depressive and affective episodes, atypical depressive features, higher rates of bipolarity specifier, psychiatric comorbidities with eating, anxiety and borderline personality disorders.

LIMITATIONS

The study was primarily designed to address mixed features in ADHD, with slightly reduced sensitivity to the diagnosis of ADHD. Other possible diagnostic biases due to heterogeneity of participating clinicians.

CONCLUSIONS

In a sample of major depressive patients, the comorbid diagnosis of current ADHD is associated with bipolar diathesis, mixed features, multiple psychiatric comorbidity and a more unstable course. Further prospective studies are necessary to confirm the possible mediating role of temperamental mood instability and emotional dysregulation in such a complex clinical presentation.

Sub-threshold bipolar disorder in medication-free young subjects with major depression: Clinical characteristics and antidepressant treatment response

BACKGROUND

This study, for the first time, compared illness and antidepressant response characteristics of young subjects with major depression (MDD) at low (LRMDD) or high-risk (HRMDD) for developing bipolar disorder with characteristics of young bipolar (BPD) subjects and healthy controls (HC).

METHODS

One hundred and six young (15-30 yr), medication-free subjects MDD subjects (HRMDD, N = 51; LRMDD, N = 55) were compared with 32 BPD (Type I: 14; Type II: 18) as well as 49 HC subjects. Baseline illness characteristics and frequency of comorbid conditions were examined using Analysis of Variance and Cochran-Armitage trend test. Additionally, in MDD subjects, the effect of open-label antidepressant treatment for up to 24 months with periodic assessments was compared between HRMDD and LRMDD groups for treatment response, remission and (hypo)mania switch while controlling for attrition.

RESULTS

Significant gradation from LRMDD to HRMDD to BPD groups was found for increasing occurrence of alcohol dependence (p = 0.006), comorbid PTSD (p = 0.006), borderline personality traits (p = 0.001), and occurrence of melancholic features (p < 0.005). Antidepressant treatment response was similar between the two groups except that for the 12-month period HRMDD showed a trend for a lower response. Switch to (hypo)mania was infrequent in both groups though the HRMDD showed a higher occurrence of spikes in (hypo)mania symptoms (>25% increase in YMRS scores)(p = 0.04).

CONCLUSION

Findings of the study indicate that a substantial proportion of young MDD subjects share BPD illness characteristics. These HRMDD subjects, if treated with antidepressants, need to be monitored for development of BPD.

TRIAL REGISTRATION

NCT01811147.

Objective and biological markers in bipolar spectrum presentations

INTRODUCTION

Subthreshold presentations of bipolarity (BSPs) pose a diagnostic conundrum, in terms of whether they should be conceptualized and treated similarly as traditionally defined bipolar disorders (BD). While it has been argued that BSPs are on a pathophysiologic continuum with traditionally defined BDs, there has been limited examination of biological and objective markers in these presentations to validate this assertion. Areas covered: The authors review studies examining genetic, neurobiological, cognitive and peripheral markers in BSPs, encompassing clinical and non-clinical populations with subthreshold hypo/manic symptoms. Results are placed in the context of previously identified markers in traditionally defined BDs. Expert commentary: There have been few studies of objective and biological markers in subthreshold presentations of BD, and results are mixed. While abnormalities in brain structure/functioning, peripheral inflammatory, and cognitive markers have been reported, it is unclear whether these findings are specific to BD or indicative of broad affective pathology. However, some studies suggest that increased sensitivity to reward and positive stimuli are shared between subthreshold and traditionally defined BDs, and may represent a point of departure from unipolar major depression. Further examination of such markers may improve understanding of subthreshold bipolar presentations, and provide guidance in terms of therapeutic strategies.

Validation of the Hypomanic Personality Scale (HPS) in Iranian adolescents

BACKGROUND

The main purpose of the current study was to examine the psychometric properties of the Hypomanic Personality Scale (HPS) in Iranian adolescents.

METHODS

A number of 805 high school and freshman students answered the HPS, the Hypomania scale of the MMPI-2, the Borderline Traits Questionnaire (STB) and the Schizotypal Personality Questionnaire-Brief. Data were analysed using explanatory factor analysis, Pearson correlation coefficient as well as independent t-test.

RESULTS

Principal component analysis led to the extraction of two factors namely mood volatility/excitement and social vitality. Convergent validity coefficients were equal to 0.71, 0.57 and 0.74 for the total scale, mood volatility/excitement and social vitality subscales respectively. Test-retest reliability of the total scale and its subscales were equal to 0.61, 0.67 and 0.57 respectively. Internal consistency and the split-half reliability of the total scale and the two subscales showed the same coefficients. The results showed that the female group gained higher scores on the total scale and the social vitality subscale.

DISCUSSION

The results supported the multi-dimensional structure and psychometric properties of the HPS among Iranian adolescents.

CONCLUSIONS

The findings of this study confirm the use of HPS as a valid scale in investigating hypomanic characteristics, particularly among Iranian adolescents. © 2018 John Wiley & Sons, Ltd.

Defeatist performance beliefs in college students: Transdiagnostic associations with symptoms and daily goal-directed behavior

Defeatist performance beliefs are prevalent and linked to decreased motivation in people with psychological disorders. In this study, we investigated whether defeatist performance beliefs were associated with transdiagnostic psychopathology risk in people with no history of formal diagnosis and whether defeatist performance beliefs impacted engagement in daily goal-directed behavior. One hundred and two college students completed self-report measures of defeatist performance beliefs and risk for depression, mania, and psychosis. Sixty-one of these participants were randomly selected to identify a goal and complete daily surveys about their actual and expected goal progress, effort expenditure, experienced pleasure, and difficulty of goal pursuit. We found that greater defeatist performance beliefs were associated with higher risk for depression, mania, and psychosis. Using multilevel modeling, we found that greater defeatist performance beliefs predicted less goal progress, effort expenditure, and pleasure from goal pursuit. Together, these findings suggest that defeatist performance beliefs may impact goal-directed behavior in healthy people with no reported psychiatric history. Interventions targeting defeatist performance beliefs may have utility for actual goal-directed behavior in many people, regardless of psychiatric status.

Early symptom non-improvement and aggravation are associated with the treatment response to SSRIs in MDD: a real-world study

PURPOSE

Early improvement in major depressive disorder is defined as a reduction of ≥20% in the 17-item Hamilton Depression Rating Scale (HAM-D-17) score at the second week after initiation of treatment, predicting long-term treatment response. However, there remains no effective strategy for switching medications when a patient fails to reach early improvement at the second week. This study focused on the predictive value of early symptom changes in each item of the HAM-D-17 scale for treatment response to selective serotonin reuptake inhibitor (SSRI) monotherapy and to provide a reference for switching antidepressants to enhance early treatment efficacy.

PATIENTS AND METHODS

Our study was an observational, real-world study that enrolled 90 treatment-naïve patients experiencing their first episode of major depressive disorder in the outpatient department of Huashan Hospital. Patients who did not achieve the threshold of early improvement in the second week after starting treatment were switched to alternative SSRI monotherapy. Patient follow-up occurred at 2, 4, 8, and 12 weeks after the initiation of treatment. We analyzed the relationship between the change in each symptom on the HAM-D-17 scale and treatment efficacy.

RESULTS

Early improvement predicted the treatment response at 12 weeks (χ ²=19.249, P<0.001), whereas early non-improvement in insomnia and anxiety was associated with a poor response (OR =9.487, 95% CI: 1.312-68.588 and OR =12.947, 95% CI: 1.99-82.246, respectively). At week 2, general somatic symptom aggravation was associated with a poorer response (OR =73.337, 95% CI: 2.232->999.999); treatment-emergent headache and tremor were associated with treatment efficacy (t=-9.521, P<0.001 and t=3.660, P=0.001, respectively). In addition, the increase in suicidal thoughts, once treatment began, had no relationship with the treatment response (OR =0.821, P=0.872).

CONCLUSION

This study suggested that patients with early non-improvement in insomnia and anxiety were not suitable for switches in SSRI monotherapy. Patients with treatment-emergent symptoms, especially headaches and tremors, were not suitable for switching from monotherapy to another SSRI.

Impact, Diagnosis, Phenomenology, and Biology

This section provides summaries of the epidemiology, phenomenology, nosology, and the suspected biological substrates of the depressive disorders. It particularly emphasizes the historical evolution of the pertinent diagnostic constructs and the prognostic import both of the various diagnostic groupings and of the individual symptoms and symptom clusters.

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.

Differential clinical characteristics and possible predictors of bipolarity in a sample of unipolar and bipolar inpatients

Major affective conditions including both unipolar (UD) and bipolar disorders (BD) are associated with significant disability throughout the life course. We aimed to investigate the most relevant socio-demographic/clinical differences between UD and BD subjects. Our sample included 180 inpatients, of which 82 (45.5%) participants were diagnosed with UD and 98 (54.5%) with BD. Relative to UD patients, BD individuals were more likely to report prior psychoactive medications, lifetime psychotic symptoms, nicotine abuse, a reduced ability to provide to their needs, gambling behavior, and fewer nonsuicidal self-harm episodes. Moreover, BD patients were more likely to report severe side effects related to medications, a younger age at illness onset and first hospitalization, higher illness episodes, and longer illness duration in years than UD subjects. In a multivariate logistic analysis accounting for age, gender, and socio-demographic characteristics, a significant positive contribution to bipolarity was found only for higher lifetime psychotic symptoms (β = 1.178; p ≤ .05) and number of illness episodes (β = .155; p ≤ .05). The present findings suggest that specific clinical factors may be used in order to better distinguish between UD and BD subgroups. Further studies are required to replicate these findings in larger samples.

Hypomania and depression associated with distinct neural activity for immediate and future rewards

Bipolar spectrum and unipolar depressive disorders have been associated with distinct and opposite profiles of reward-related neural activity. These opposite profiles may reflect a differential preexisting vulnerability for both types of disorders. In support, recent ERP studies find that, following reward feedback, a larger reward positivity (RewP) is associated with greater vulnerability for bipolar spectrum disorders, whereas a smaller RewP is associated with greater vulnerability for depression. However, prior studies have investigated only immediate rewards and have not examined dimensions of both bipolar disorder and unipolar depression within the same sample. The present study is the first to investigate feedback-related ERP correlates of proneness to hypomania and unipolar depressive tendencies within the same sample and to expand our scope to include future rewards. Participants completed a modified time estimation task where the same monetary reward was available immediately or at one of five different future dates. Results revealed proneness to hypomania and unipolar depressive tendencies were related to an elevated and blunted RewP, respectively, but only following immediate rewards (i.e., today). Following rewards in the distant future (e.g., 8 months), proneness to hypomania and depressive tendencies were associated with elevated and blunted amplitudes for the P3, respectively, a subsequent ERP component reflecting motivational salience during extended feedback processing. Furthermore, these opposing profiles were independent of, and significantly different from, one another. These results suggest that feedback-related ERPs following immediate and future rewards are candidate biomarkers that can physiologically separate vulnerability for bipolar spectrum from unipolar depressive disorders.

Modelling mood disorders: An ACE solution?

OBJECTIVES

The treatment of mood disorders remains sub-optimal. A major reason for this is our lack of understanding of the underlying pathophysiology of depression and bipolar disorder. A core problem is the lack of specificity of our current diagnoses. This paper discusses the history of this problem and posits a solution in the form of a more sophisticated model.

METHOD

The authors review the notable historical works that laid the foundations of mood disorder nosology; discuss the more recent influences that shaped modern diagnoses; and examine the evidence that mood disorders are characterised by multidimensional and longitudinal symptom profiles.

RESULTS

The ACE model considers mood disorders as a combination of symptoms across three domains: Activity, Cognition, and Emotion; that vary over time. This multidimensional and longitudinal perspective is consistent with the prevalence of complex clinical presentations, such as mixed states, and highlights the importance of recurrence in mood disorders.

CONCLUSIONS

The ACE model encourages researchers to characterise patients from a number of equally important perspectives and, by doing so, add specificity to the treatment of mood disorders.

A Risk Calculator to Predict the Individual Risk of Conversion From Subthreshold Bipolar Symptoms to Bipolar Disorder I or II in Youth

OBJECTIVE

Youth with subthreshold mania are at increased risk of conversion to bipolar disorder (BP) I/II. Predictors for conversion have been published for the group as a whole. However, risk factors are heterogeneous, indicating the need for personalized risk assessment.

METHOD

One hundred forty youth with BP not otherwise specified (BP-NOS; 6-17 years old) followed through the Course and Outcome of Bipolar Youth (COBY) study with at least 1 follow-up assessment before conversion to BP-I/II were included. Youths were assessed on average every 7 months (median 11.5 years) using standard instruments. Risk predictors reported in the literature were used to build a 5-year risk calculator. Discrimination was measured using the time-dependent area under the curve after 1,000 bootstrap resamples. Calibration was evaluated by comparing observed with predicted probability of conversion. External validation was performed using an independent sample of 58 youths with BP-NOS recruited from the Pittsburgh Bipolar Offspring Study.

RESULTS

Seventy-five (53.6%) COBY youths with BP-NOS converted to BP-I/II, of which 57 (76.0%) converted within 5 years. Earlier-onset BP-NOS, familial hypomania/mania, and high mania, anxiety, and mood lability symptoms were important predictors of conversion. The calculator showed excellent consistency between the predicted and observed risks of conversion, good discrimination between converters and non-converters (area under the curve 0.71, CI 0.67-0.74), and a proportionally increasing rate of converters at each successive risk class. Discrimination in the external validation sample was good (area under the curve 0.75).

CONCLUSION

If replicated, the risk calculator would provide a useful tool to predict personalized risk of conversion from subsyndromal mania to BP-I/II and inform individualized interventions and research.

Parsing cyclothymic disorder and other specified bipolar spectrum disorders in youth

OBJECTIVE

Most studies of pediatric bipolar disorder (BP) combine youth who have manic symptoms, but do not meet criteria for BP I/II, into one "not otherwise specified" (NOS) group. Consequently, little is known about how youth with cyclothymic disorder (CycD) differ from youth with BP NOS. The objective of this study was to determine whether youth with a research diagnosis of CycD (RDCyc) differ from youth with operationalized BP NOS.

METHOD

Participants from the Course and Outcome of Bipolar Youth study were evaluated to determine whether they met RDCyc criteria. Characteristics of RDCyc youth and BP NOS youth were compared at baseline, and over eight-years follow-up.

RESULTS

Of 154 youth (average age 11.96 (3.3), 42% female), 29 met RDCyc criteria. RDCyc youth were younger (p = .04) at baseline. Over follow-up, RDCyc youth were more likely to have a disruptive behavior disorder (p = .01), and were more likely to experience irritability (p = .03), mood reactivity (p = .02), and rejection sensitivity (p = .03). BP NOS youth were more likely to develop hypomania (p = .02), or depression (p = .02), and tended to have mood episodes earlier in the eight-year follow-up period.

LIMITATIONS

RDCyc diagnoses were made retrospectively and followed stringent criteria, which may highlight differences that, under typical clinical conditions and more vague criteria, would not be evident.

CONCLUSION

There were few differences between RDCyc and BP NOS youth. However, the ways in which the groups diverged could have implications; chronic subsyndromal mood symptoms may portend a severe, but ultimately non-bipolar, course. Longer follow-up is necessary to determine the trajectory and outcomes of CycD symptoms.

[Bipolar affective disorders in senescence]

Diagnostic and therapeutic measures in patients with bipolar disorders are significantly different depending on the age of those affected. Given the demographic changes and the fact that approximately one quarter of patients with bipolar disease are in old age, it is important for geriatricians to be aware of the specific aspects of bipolar disease. This review article presents the diagnostics of bipolar disorders in old people. Interactions with somatic comorbidities, which may lead to the occurrence of secondary mania, just to mention one of the characteristics of old age, are elaborated. Furthermore, age-specific differences also necessitate altered or adjusted therapy regimens, which deviate from those of younger patients.

Factorial structure and familial aggregation of the Hypomania Checklist-32 (HCL-32): Results of the NIMH Family Study of Affective Spectrum Disorders

BACKGROUND

There is substantial evidence that bipolar disorder (BD) manifests on a spectrum rather than as a categorical condition. Detection of people with subthreshold manifestations of BD is therefore important. The Hypomania Checklist-32 (HCL-32) was developed as a tool to identify such people.

PURPOSE

The aims of this paper were to: (1) investigate the factor structure of HCL-32; (2) determine whether the HCL-32 can discriminate between mood disorder subtypes; and (3) assess the familial aggregation and cross-aggregation of hypomanic symptoms assessed on the HCL with BD.

PROCEDURES

Ninety-six probands recruited from the community and 154 of their adult first-degree relatives completed the HCL-32. Diagnosis was based on semi-structured interviews and family history reports. Explanatory factor analysis and mixed effects linear regression models were used.

FINDINGS

A four-factor ("Activity/Increased energy," "Distractibility/Irritability", "Novelty seeking/Disinhibition, "Substance use") solution fit the HCL-32, explaining 11.1% of the total variance. The Distractibility/Irritability score was elevated among those with BP-I and BP-II, compared to those with depression and no mood disorders. Higher HCL-32 scores were associated with increased risk of BD-I (OR = 1.22, 95%CI 1.14-1.30). The "Distractibility/Irritability" score was transmitted within families (β = 0.15, p = 0.040). However, there was no familial cross-aggregation between mood disorders and the 4 HCL factors.

CONCLUSIONS

Our findings suggest that the HCL-32 discriminates the mood disorder subtypes, is familial and may provide a dimensional index of propensity to BD. Future studies should explore the heritability of symptoms, rather than focusing on diagnoses.

Design limitations to bipolar II treatment efficacy studies: A challenge and a revisionist strategy

BACKGROUND

Trials examining medication efficacy for bipolar II disorder commonly employ a set of standardized interval measures to assess outcomes. The key issue is whether such interval measures pick up changes in the severity, duration and frequency of depressive, hypomanic and euthymic episodes.

METHOD

We examine the application of measures most commonly used to monitor progress in nine studies involving participants with a bipolar II disorder and published in journals with a moderate to high impact factor.

RESULTS

Studies rarely provided interval details for assessing depressive and hypomanic symptoms. None specified whether ratings of depressive and hypomanic symptoms were based on severity, duration or number of symptoms, and none recorded any data on euthymic periods.

LIMITATIONS

Our sample of reviewed studies was small and our analyses focused only on the three most commonly used outcome measures. We advocate for complementary subjective daily mood monitoring strategies but recognize that such strategies need to be validated in future studies.

CONCLUSIONS

We argue that interval ratings undertaken weekly or over longer periods may compromise efficacy data. We recommend that userguides be developed to ensure standard outcome measures are employed consistently across trials, and that specific details be published in trial papers about how measures were employed and what mood episode characteristics were measured at each assessment. We also argue for daily ratings to be used as an outcome measure to provide data on severity, frequency and duration of depressive, hypomanic and euthymic periods in intervention studies of those with a bipolar II disorder.

Socio-demographic and clinical characterization of patients with Bipolar Disorder I vs II: a Nationwide Italian Study

Bipolar disorders (BDs) are prevalent, comorbid and disabling conditions, associated with the highest suicide risk among psychiatric illnesses. In the last few years, new efforts to better characterize the socio-demographic and clinical profiles of BD type I vs II have been documented by several reports, with novel and insightful findings in the field. The present multicenter study aimed to provide a comprehensive and reliable representation of the Italian reality, through the analysis of the largest national sample of bipolar patients collected so far. A total of 1500 patients (BD I n = 963 and BD II n = 537) from different psychiatric departments, participating in the Italian Chapter of the "International Society of Bipolar Disorders" (ISBD), were assessed and divided into two groups on the basis of their diagnostic subtype, and different socio-demographic and clinical variables were compared between the two subgroups. Chi-squared tests for categorical variables and t tests for continuous variables were performed for group comparison. Furthermore, a multivariable logistic regression was performed, considering diagnostic bipolar subtype (type I or II) as dependent variable, and socio-demographic/clinical characteristics as independent variables. BD I vs II patients showed an overall less favorable socio-demographic and clinical profile. In addition, the multivariable logistic regression showed that BD II vs BD I was predicted by the absence of lifetime suicide attempts (OR = 1.58, p = 0.01), a later age of diagnosis (OR = 1.03, p < 0.01), less hypomanic episodes in the last year (OR = 2.29, p < 0.0001) and absence of psycho-educational interventions in the last year (OR = 0.51, p < 0.01). BD I and II patients were found to significantly differ in relation to specific clinical variables, which should be considered within updated diagnostic-therapeutic algorithms.

The diffusion of the diagnostic term bipolar disorder among the German public

In 2005, 15 years after the introduction of the diagnosis in DSM-III, a telephone survey in Germany revealed that the public was still unfamiliar with the term bipolar disorder. Only 5.3% of those questioned knew at the time that it denotes a mental illness. In the meantime, efforts have been made to spread the concept among the public. In the media there has been increasing mention of the disorder. Another telephone survey in 2017 showed that familiarity with the diagnostic term has grown substantially. 54.0% of respondents now connected the term bipolar disorder with a mental illness.

Study protocol for a prospective cohort study examining the predictive potential of dynamic symptom networks for the onset and progression of psychosis: the Mapping Individual Routes of Risk and Resilience (Mirorr) study

INTRODUCTION

Our current ability to predict the course and outcome of early psychotic symptoms is limited, hampering timely treatment. To improve our understanding of the development of psychosis, a different approach to psychopathology may be productive. We propose to reconceptualise psychopathology from a network perspective, according to which symptoms act as a dynamic, interconnected system, impacting on each other over time and across diagnostic boundaries to form symptom networks. Adopting this network approach, the Mapping Individual Routes of Risk and Resilience study aims to determine whether characteristics of symptom networks can predict illness course and outcome of early psychotic symptoms.

METHODS AND ANALYSIS

The sample consists of n=100 participants aged 18-35 years, divided into four subgroups (n=4×25) with increasing levels of severity of psychopathology, representing successive stages of clinical progression. Individuals representing the initial stage have a relatively low expression of psychotic experiences (general population), whereas individuals representing the end stage are help seeking and display a psychometric expression of psychosis, putting them at ultra-high risk for transition to psychotic disorder. At baseline and 1-year follow-up, participants report their symptoms, affective states and experiences for three consecutive months in short, daily questionnaires on their smartphone, which will be used to map individual networks. Network parameters, including the strength and directionality of symptom connections and centrality indices, will be estimated and associated to individual differences in and within-individual progression through stages of clinical severity and functioning over the next 3 years.

ETHICS AND DISSEMINATION

The study has been approved by the local medical ethical committee (ABR no. NL52974.042.15). The results of the study will be published in (inter)national peer-reviewed journals, presented at research, clinical and general public conferences. The results will assist in improving and fine-tuning dynamic models of psychopathology, stimulating both clinical and scientific progress.

TRIAL REGISTRATION NUMBER

NTR6205 ; Pre-results.

Hypomania in clinical practice

Recent work suggests that a broad clinical spectrum of bipolar disorder is more common than previously thought and that the disorder may affect up to 5% of the population. The correct definition and diagnosis of hypomania is central to the identification of bipolar disorder. In this review we focus on recent diagnostic and clinical advances relating to bipolar disorder, with particular reference to hypomanic states. We also highlight some of the controversies in this field and discuss ways in which clinicians might improve their detection of bipolar disorders.

‘I want to be bipolar’…a new phenomenon

There has been renewed interest in the concept and diagnosis of bipolar affective disorder in recent years. Previous epidemiological studies have reported the prevalence of the disorder in the USA at 1–2% but further studies have shown that the disorder is underdiagnosed and the true prevalence may be as high as 11%. Despite the stigma attached to mental illness, we have noticed in our clinical practice a new and unusual phenomenon, where patients present to psychiatrists with self-diagnosed bipolar disorder. Here, we explore the background to this phenomenon, the diagnostic challenges and the implications for our patients and practice.

Features of mood associated with high body weight in females with fibromyalgia

BACKGROUND

Fibromyalgia (FM) is a common syndrome whose main characteristic is chronic widespread musculoskeletal pain, the severity of which is frequently worsened by concomitant obesity. Major depression (MD), particularly as part of a bipolar spectrum disorder (BSD), is associated with both obesity and FM.

OBJECTIVE

To evaluate the relationship between lifetime MD, hypomanic symptoms and the body mass index (BMI) in patients with FM.

METHOD

Of the 115 patients originally screened, 87 women with FM finally entered the study. Forty-nine patients (57%) had a lifetime diagnosis of MD, assessed by a structured clinical interview based on DSM-IV criteria, and four of them (4.6%) had a current MD episode. Lifetime hypomanic symptoms were measured by means of the self-rated Hypomania Checklist. According to the international criteria for BMI, FM patients were classified as under/normal-weight (61%), overweight (30%) and obese (9%).

RESULTS

62 patients (71.2%) with FM had a bipolar spectrum disorder (BSD). Thirty (48.3%) of them met criteria for bipolar II disorder, 32 (51,6%) for bipolar disorder NOS (18 FM patients with MD associated to sub-syndromal hypomanic syndrome and 14 with hypomanic syndrome without MD). No patient had a bipolar I disorder. Only one patient met the criteria for a major depressive disorder (MDD). There was no significant difference in mean BMI between the patients with and without a lifetime diagnosis of MD, but there was a positive association between the level of hypomanic symptoms and BMI values (p<0.009). When hypomania was considered categorically as hypomanic syndrome there was no significant effect on BMI.

CONCLUSIONS

Our finding adds to previous evidence indicating that hypomanic symptoms are a central feature of FM. In the case of the early identification of high-level hypomanic symptoms, body weight should be closely monitored in order to prevent obesity and its detrimental impact on females with FM.

Prefrontal activation during a working memory task differs between patients with unipolar and bipolar depression: A preliminary exploratory study

BACKGROUND

To identify bipolar disorder during the initial stages of a depressive episode has always been a great clinical challenge. Patterns of functional brain activity may underlie the differences in the neural mechanisms of bipolar depression (BD) and unipolar depression (UD). This study aimed to investigate the differences in neural activity between BD and UD patients during executive task.

METHODS

We performed a 52-channel near-infrared spectroscopy (NIRS) scan in 39 patients with BD, 35 patients with UD, and 36 healthy controls (HCs). The relative concentration changes in oxygenated hemoglobin ([oxy-Hb]) and deoxygenated hemoglobin ([deoxy-Hb]) during a 1-back working memory task were measured for each channel. Clinical characteristics including current mood were evaluated within one week prior to NIRS examination.

RESULTS

Compared to HCs, BD (CH34: Z = -2.354, P = 0.019) and UD patients (CH18: Z = -2.358, P = 0.018; CH30: Z = -2.174, P = 0.030; CH34: Z = -1.990, P = 0.047) showed reduced activation of [oxy-Hb] in the inferior prefrontal region. Compared to patients with UD, patients with BD showed less decreased [oxy-Hb] changes in the left frontopolar cortex (FPC) (CH18: Z = -2.366, P = 0.018), left pars opercularis and pars triangularis (POPE/PTRI) regions (Broca's area) (CH30: Z = -2.333, P = 0.020). No correlation existed between clinical characteristics and NIRS measurements.

LIMITATIONS

The effect of medication could not be excluded, and behavioral data was not systematically collected.

CONCLUSION

The results from this preliminary exploratory study suggest distinct prefrontal activation patterns underlie BD and UD, especially in the left frontopolar region and Broca's area. The NIRS-based prefrontal activation measurement may serve as a potential marker to aid in differentiating bipolar from unipolar depression.