Predominant polarity in bipolar disorders: Further evidence for the role of affective temperaments

Prevalence and correlates of manic/hypomanic and depressive predominant polarity in bipolar disorder: systematic review and meta-analysis

BACKGROUND

Identification of the predominant polarity, i.e. hypomanic/manic (mPP) or depressive predominant polarity (dPP), might help clinicians to improve personalised management of bipolar disorder.

AIMS

We performed a systematic review and meta-analysis to estimate prevalence and correlates of mPP and dPP in bipolar disorder.

METHOD

The protocol was registered in the Open Science Framework Registries (https://doi.org/10.17605/OSF.IO/8S2HU). We searched main electronic databases up to December 2023 and performed random-effects meta-analyses of weighted prevalence of mPP and dPP. Odds ratios and weighted mean differences (WMDs) were used for relevant correlates.

RESULTS

We included 28 studies, providing information on rates and/or correlates of mPP and dPP. We estimated similar rates of mPP (weighted prevalence = 30.0%, 95% CI: 23.1 to 37.4%) and dPP (weighted prevalence = 28.5%, 95% CI: 23.7 to 33.7%) in bipolar disorder. Younger age (WMD = -3.19, 95% CI: -5.30 to -1.08 years), male gender (odds ratio = 1.39, 95% CI: 1.10 to 1.76), bipolar-I disorder (odds ratio = 4.82, 95% CI: 2.27 to 10.24), psychotic features (odds ratio = 1.56, 95% CI: 1.01 to 2.41), earlier onset (WMD = -1.57, 95% CI: -2.88 to -0.26 years) and manic onset (odds ratio = 13.54, 95% CI: 5.83 to 31.46) were associated with mPP (P < 0.05). Depressive onset (odds ratio = 12.09, 95% CI: 6.38 to 22.90), number of mood episodes (WMD = 0.99, 95% CI: 0.28 to 1.70 episodes), history of suicide attempts (odds ratio = 2.09, 95% CI: 1.49 to 2.93) and being in a relationship (odds ratio = 1.98, 95% CI: 1.22 to 3.22) were associated with dPP (P < 0.05). No differences were estimated for other variables.

CONCLUSIONS

Despite some limitations, our findings support the hypothesis that predominant polarity might be a useful specifier of bipolar disorder. Evidence quality was mixed, considering effects magnitude, consistency, precision and publication bias. Different predominant polarities may identify subgroups of patients with specific clinical characteristics.

Combining predominant polarity and affective spectrum concepts in bipolar disorder: towards a novel theoretical and clinical perspective

This is an overview of recent advances on predominant polarity conceptualization in bipolar disorder (BD). Current evidence on its operationalized definitions, possible contextualization within the affective spectrum, along with its epidemiological impact, and treatment implications, are summarized. Predominant polarity identifies three subgroups of patients with BD according to their mood recurrencies: (i) those with depressive or (ii) manic predominance as well as (iii) patients without any preponderance ('nuclear' type). A predominant polarity can be identified in approximately half of patients, with similar rates for depressive and manic predominance. Different factors may influence the predominant polarity, including affective temperaments. More generally, affective disorders should be considered as existing on a spectrum ranging from depressive to manic features, also accounting for disorders with 'ultrapredominant' polarity, i.e., unipolar depression and mania. While mixed findings emerge on its utility in clinical practice, it is likely that the construct of predominant polarity, in place of conventional differentiation between BD-I and BD-II, may be useful to clarify the natural history of the disorder and select the most appropriate interventions. The conceptualization of predominant polarity seems to reconcile previous theoretical views of both BD and affective spectrum into a novel perspective. It may provide useful information to clinicians for the early identification of possible trajectories of BD and thus guide them when selecting interventions for maintenance treatment. However, further research is needed to clarify the specific role of predominant polarity as a key determinant of BD course, outcome, and treatment response.

Type of cycle, temperament and childhood trauma are associated with lithium response in patients with bipolar disorders

BACKGROUND

Lithium stands as the gold standard in treating bipolar disorders (BD). Despite numerous clinical factors being associated with a favorable response to lithium, comprehensive studies examining the collective influence of clinical variables alongside psychopathological dimensions are lacking. Our study aims to enhance comprehension of lithium response in individuals with BD by integrating clinical variables with psychopathological traits and early adverse events.

METHODS

We assessed 201 patients with BD for clinical characteristics, childhood trauma, temperament traits, impulsivity, and aggression. Lithium response was evaluated using the gold standard Alda scale, and predictors of lithium response were estimated through a multivariate model.

RESULTS

On the total sample, 61 (30.3%) patients were lithium responders according to the Alda scale. Comparatively, lithium responders, in contrast to non-responders, demonstrated a higher prevalence of the mania-depression-interval (MDI) cycle, a more frequent diagnosis of BD type I, and reported an earlier age of onset. They also exhibited less lifetime substance abuse, emotional, physical, and sexual abuse, while scoring higher on hyperthymic and irritable temperament scales. In multivariate analyses, only the MDI cycle (OR,3.47; 95%CI,1.61-7.50) hyperthymic (OR,1.20; 95%CI,1.02-1.41) and irritable temperament (OR,1.28; 95%CI,1.08-1.52) persisted as significant predictors of a positive response to lithium treatment, while emotional (OR,0.87; 95%CI,0.76-0.98) and physical abuse (OR,0.83; 95%CI,0.70-0.98) were predictors of non-response.

CONCLUSIONS

In evaluating lithium response in BD, our study highlights the importance of considering clinical variables alongside temperament and childhood adversities. The assessment of hyperthymic and irritable temperament, emotional and physical abuse together with the type of cycle is of particular importance. Furthermore, our findings underscore the significance of systematically assessing the type of cycle in patients with BD through the use of life charts.

What Came First, Mania or Depression? Polarity at Onset in Bipolar I and II: Temperament and Clinical Course

(1) Background: Bipolar disorder (BD) is divided into type I (BD-I) and type II (BD-II). Polarity at onset (PO) is a proposal to specify the clinical course of BD, based on the type of the first episode at disorder onset-depressive (D-PO) or manic (M-PO). At the same time, affective temperaments represent preexisting variants of the spectrum of affective disorders. Our objectives were to investigate the hypothesis that temperament may exert an influence on PO, and that this factor can serve as an indicator of the forthcoming course of the disorder, carrying significant therapeutic implications. (2) Methods: We included 191 patients with BD and examined clinical variables and temperament; the latter was assessed using the short version of the Temperament Evaluation of Memphis, Pisa, Paris, and San Diego-Auto-questionnaire (TEMPS-A-39-SV). We tested the associations between these variables and PO using standard univariate/bivariate methods followed by multivariate logistic regression models. (3) Results: 52.9% of the sample had D-PO and 47.1% had M-PO. D-PO and M-PO patients scored higher for dysthymic and hyperthymic temperaments, respectively (p < 0.001). Also, they differed in BD subtypes, age at first affective episode, illness duration, number of depressive episodes, seasonality, suicide risk, substance use, lithium, and benzodiazepine use (p < 0.05). Only BD-II and age at first depressive episode were predictors of D-PO, whereas BD-I, age at first manic/hypomanic episode, and hyperthymic temperament were predictors of M-PO (p < 0.01). (4) Conclusions: Our findings point to the importance of carefully assessing temperament and PO in patients with BD, to better predict the clinical course and tailor therapeutic interventions to individual patients' needs.

Affective temperaments mediate aggressive dimensions in bipolar disorders: A cluster analysis from a large, cross-sectional, international study

BACKGROUND

Affective temperaments show potential for aggressive behavior (AB) preventive strategies in bipolar disorder (BD). We aim to define intra-diagnostic subgroups of patients with BD based on homogeneous behaviors related to AB. Subsequently, to assess whether affective temperament dimensions may contribute to the presence and severity of AB.

METHODS

Patients with BD were recruited. AB was evaluated through the modified overt aggression scale (MOAS); affective temperaments were assessed with the TEMPS-A. A cluster analysis was conducted based on TEMPS-A and MOAS scores. Stepwise backward logistic regression models were used to identify the predictive factors of cluster membership.

RESULTS

799 patients with BD were enrolled. Three clusters were determined: non-aggressive (55.5 %), self-aggressive (18 %), and hetero-aggressive (26.5 %). Depressive, irritable, and anxious temperament scores significantly increased from the non-aggressive (lower) to the self-aggressive (intermediate) and the hetero-aggressive group (highest). A positive history of a suicide attempt (B = 5.131; OR = 169.2, 95 % CI 75.9; 377) and rapid cycling (B = -0.97; OR = 0.40, 95 % CI 0.17; 0.95) predicted self-aggressive cluster membership. Atypical antipsychotics (B = 1.19; OR = 3.28, 95 % CI 2.13; 5.06) or SNRI treatment (B = 1.09; OR = 3, 95 % CI 1.57; 5.71), psychotic symptoms (B = 0.73; OR = 2.09, 95 % CI 1.34; 3.26), and history of a suicide attempt (B = -1.56; OR = 0.20, 95 % CI 0.11; 0.38) predicted hetero-aggressive cluster membership.

LIMITATIONS

Recall bias might have affected the recollection of AB.

CONCLUSIONS

Clinical factors orientate the prevention of different ABs in BD. Affective temperaments might play a role in preventing AB since patients with more pronounced affective temperaments might have an increased risk of showing AB, in particular hetero-AB.

The Relationship between Predominant Polarity, Lifetime Comorbid Anxiety Disorders and Subjective Quality of Life among Individuals with Bipolar Disorder in Singapore

BACKGROUND

Depressive features and comorbid anxiety disorders are two discrete but interconnected clinical features that have been reported to be associated with a poorer quality of life (QoL) among individuals with bipolar disorders. However, the relationship between manic features and quality of life is less conclusive. The present study aimed to assess differences in QoL among bipolar outpatients who present with either depressive predominant polarity (DPP), manic predominant polarity (MPP) and/or a lifetime diagnosis of comorbid anxiety disorders in Singapore.

METHODS

Data from 74 outpatients in Singapore diagnosed with bipolar disorder were collected. Sociodemographic information, the polarity of most episodes (2 out of 3), the diagnosis of anxiety disorders and QoL were obtained from a self-reported interview and/or through clinical records. QoL was measured using the abbreviated version of the World Health Organization questionnaire. We used multivariate regression models to determine the relationships between predominant polarity, lifetime comorbid anxiety disorders and QoL in physical health, psychological health, social relationships and environment domains.

RESULTS

After adjusting for covariates, individuals with DPP scored poorer for WHOQOL-BREF for all four domains as compared with individuals with indeterminate polarity. As compared to individuals with indeterminate polarity, individuals with MPP scored poorer for WHOQOL-BREF social relationships. Lastly, individuals with lifetime comorbid anxiety disorders scored poorer for WHOQOL-BREF physical health, social relationships and environment.

DISCUSSION AND CONCLUSIONS

The present study provides preliminary support for the relationship between DPP, lifetime comorbid anxiety disorders and poorer QoL, paving the pathway for future research with larger samples to utilise our study design to verify our results.

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.

Lifetime and point prevalence of psychotic symptoms in adults with bipolar disorders: a systematic review and meta-analysis

Psychotic symptoms, that we defined as delusions or hallucinations, are common in bipolar disorders (BD). This systematic review and meta-analysis aims to synthesise the literature on both lifetime and point prevalence rates of psychotic symptoms across different BD subtypes, including both BD type I (BDI) and BD type II (BDII). We performed a systematic search of Medline, PsycINFO, Embase and Cochrane Library until 5 August 2021. Fifty-four studies (N = 23 461) of adults with BD met the predefined inclusion criteria for evaluating lifetime prevalence, and 24 studies (N = 6480) for evaluating point prevalence. Quality assessment and assessment of publication bias were performed. Prevalence rates were calculated using random effects meta-analysis, here expressed as percentages with a 95% confidence interval (CI). In studies of at least moderate quality, the pooled lifetime prevalence of psychotic symptoms in BDI was 63% (95% CI 57.5-68) and 22% (95% CI 14-33) in BDII. For BDI inpatients, the pooled lifetime prevalence was 71% (95% CI 61-79). There were no studies of community samples or inpatient BDII. The pooled point prevalence of psychotic symptoms in BDI was 54% (95 CI 41-67). The point prevalence was 57% (95% CI 47-66) in manic episodes and 13% (95% CI 7-23.5) in depressive episodes. There were not enough studies in BDII, BDI depression, mixed episodes and outpatient BDI. The pooled prevalence of psychotic symptoms in BDI may be higher than previously reported. More studies are needed for depressive and mixed episodes and community samples.Prospero registration number: CRD 42017052706.

A Feasibility Study of the Usefulness of the TEMPS-A Scale in Assessing Affective Temperament in Athletes

Background and objectives: Current studies show an important role of affective temperament in sport performance. The aim of this study was to assess the feasibility of the use of the TEMPS-A scale, by using it to examine five dimensions of affective temperament in three groups of athletes. We hypothesized that temperament may be a predisposing factor to the level of commitment and type of training. Materials and methods: The study group (N:71, 33 female) consisted of professional canoeists (N:25, aged 18–30), sports pilots (N:21, aged 19–57) and non-professionals regularly performing aerobic exercises (N:25, aged 23–33). The Affective Temperament of Pisa, Paris and San Diego Autoquestionnaire (TEMPS-A) was used to evaluate affective temperament dimensions. Statistical analysis was performed using non-parametric tests. Results: The TEMPS_A scale shows good internal consistency; a hyperthymic temperament was associated with different factors compared to other temperament traits. The most prevalent trait in the study group was hyperthymic temperament. The study group scored higher on hyperthymic and lower on depressive and anxious temperaments when compared with the general population. Canoeists scored higher on cyclothymic temperament compared with non-professional athletes and on cyclothymic and irritable dimensions in comparison with pilots. Pilots obtained significantly lower scores on irritable and anxious temperaments than non-professional athletes. Females scored higher on both hyperthymic and irritable dimensions. No significant differences were found in respect of depressive, cyclothymic and anxious traits. Age was negatively correlated with cyclothymic and irritable temperament scores. Conclusions: TEMPS-A scale is a useful tool for assessing affective temperament in athletes. The results suggest that affective temperament may be a factor influencing physical activity engagement. Different types of activities may be connected with different temperament dimensions. Younger athletes present a higher tendency to mood lability and sensitivity to environmental factors. However, further research is needed, involving larger numbers of subjects.

Depressive and Anxious Temperaments as Predictors of Late Onset Bipolar Disorder? Preliminary Results of a "Real World" Exploratory Study

INTRODUCTION

Bipolar disorder (BD) onset typically occurs between 15 and 30 years, being diagnosed under the age of 50 in 90% of cases, named "non-late onset BD" (non-LOBD). However, clinical observation of late-onset BD (LOBD) raised some concern regarding a differential psychopathological pattern, outcomes and treatment, including a specific affective temperament vulnerability. Therefore, an exploratory study in the "real world" was carried out by investigating psychopathological and temperamental features of a psychogeriatric cohort of LOBD and non-LOBD subjects.

METHODS

A total of 180 patients affected with BD-I, BD-II, and Cyclothymic Disorder were screened in a Mood Disorder Outpatient Service, during the timeframe January 2019-August 2021. Out of 78 enrolled outpatients, 66 (33 non-LOBD, 33 LOBD) were recruited, by the retrospective collection of sociodemographic, cognitive, psychopathological and clinical assessment, including the short-version of the Temperament Evaluation of Memphis, Pisa, and San Diego (TEMPS-M).

RESULTS

LOBD is significantly associated with higher rates of BD-II diagnosis (χ² = 27.692, p < 0.001), depressive episodes (p = 0.025), mixed states (p = 0.009), predominant depressive and anxious affective temperaments (p < 0.001). Non-LOBD is significantly associated with higher endocrinological (χ² = 6.988, p = 0.008) and metabolic comorbidity (χ² = 5.987, p = 0.014), a diagnosis of BD-I, manic episodes, and predominant hyperthymic affective temperaments (p = 0.001). GDS (p < 0.001) and MSRS (p = 0.005) scores were significantly higher in LOBD.

CONCLUSION

Further longitudinal studies with larger sample sizes and a control group are needed to determine whether LOBD may represent a distinct psychopathological entity from non-LOBD and evaluate differences (if any) in terms of prognosis and treatment between non-LOBD and LOBD.

Predominant Polarity and Polarity Index of Maintenance Treatments for Bipolar Disorder: A Validation Study in a Large Naturalistic Sample in Italy

Background and Objectives: Predominant polarity (PP) may be a useful course specifier in at least a significant proportion of patients with Bipolar Disorder (BD), being associated with several clinically relevant correlates. Emerging evidence suggests that the concept of PP might influence the selection of maintenance treatments, based on a drug polarity index (PI) which measures the greater antidepressive vs. antimanic preventive efficacy of mood stabilizers over long-term maintenance treatment. In this study, we aimed to validate the PI in a large sample of Italian BD patients with accurate longitudinal characterization of the clinical course, which ensured a robust definition of the PP. Materials and Methods: Our sample is comprised of 653 patients with BD, divided into groups based on the predominant polarity (manic/hypomanic predominant polarity—MPP, depressive predominant polarity—DPP and no predominant polarity). Subsequently we calculated the mean total polarity index for each group, and we compared the groups. Results: When we examined the mean PI of treatments prescribed to individuals with DPP, MPP and no predominant polarity, calculated using two different methods, we failed to find significant differences, with the exception of the PI calculated with the Popovic method and using the less stringent criterion for predominant polarity (PP_50%). Conclusions: Future prospective studies are needed in order to determine whether the predominant polarity is indeed one clinical factor that might guide the clinician in choosing the right mood stabilizer for BD maintenance treatment.

Affective Temperament is Associated with Stress Coping Strategies and Work Stress Perception Among Polish Bank Employees

Background

Stress in the banking workplace is associated with psychological and health problems. Intensity of work-related stress experiences is associated with specificity of job stress factors personal features such as affective temperament. The aim of the study was to evaluate associations between affective temperament, coping stress strategies, and perceived job stress in bank employees.

Methods

Subjects were 209 bank workers aged 22–55 years (n = 101 managers and 108 non-managers). Affective temperament and stress coping strategies were evaluated using the Temperament Evaluation of Pisa, Paris and San Diego Autoquestionnaire (TEMPS-A) and Coping Inventory for Stressful Situations (CISS), respectively. Both questionnaires, TEMPS-A and CISS, show good internal consistency and are proper research methods in the bank employee group. Perceived job-related stress was rated for different sources of job stress common among bank workers.

Results

Depressive temperament was negatively associated with coping style focused on avoidance, and with job stress regarding “responsibility for decisions regarding other people” and “frequent trips.” Irritable temperament was positively correlated with coping style focused on task and job stress regarding “frequent trips.” Cyclothymic temperament was positively correlated with job stress regarding “direct work with money” and “organizational conditions of work.” Multidimensional linear regression showed that irritable and anxious temperaments were associated with coping style focused on task; depressive temperament was associated with coping style focused on avoidance; and cyclothymic temperament was associated with intensity of job stress. The results obtained indicate different levels of job-related stress associated with different sources in bank employees, working with managers and non-managers positions. Affective temperament was associated with stress coping strategies and intensity of perceived job stress. On the basis of affective temperament dimensions it is possible to predict stress coping styles and work-related stress perception in bank employees.

Conclusion

Affective temperament traits measured by TEMPS-A were associated with stress coping strategies and intensity of work stress perception in Polish bank employees.

Cyclothymic temperament: Associations with ADHD, other psychopathology, and medical morbidity in the general population

BACKGROUND

Cyclothymic temperament (CT) is an affective disposition often preceding bipolar disorder (BD), and is the most common affective temperament in patients with BD. In depressed patients, CT is a predictor for developing a bipolar course. In a clinical sample of adults with BD and attention deficit hyperactivity disorder (ADHD), CT was associated with higher loads of psychiatric symptoms, somatic comorbidity, impairment, and higher morbidity among first-degree relatives. We aimed to investigate the morbidity and occupational functioning of persons with CT in the general population.

METHODS

Randomly recruited Norwegian adults (n = 721) were assessed with a 21-item cyclothymic subscale from the TEMPS Autoquestionnaire. Self-reported data were collected on psychiatric symptoms, comorbidity, educational and occupational level, and known family morbidity.

RESULTS

Thirteen percent had CT associated with an increased prevalence of ADHD, BD, high scores on the Mood Disorder Questionnaire (MDQ), and childhood and adulthood ADHD symptoms. CT was found in 75% (p < .001) of the bipolar participants, and in 68% (p < .001) of those with a positive MDQ score. CT was associated with more anxiety/depression, substance and alcohol problems, lower educational and occupational levels, and having a first-degree relative with anxiety/depression, alcohol problems, ADHD, and BD.

LIMITATIONS

The CT subscale alone might include overlapping features with cyclothymic, anxious, irritable, and depressed temperaments, thus increasing the prevalence estimate of CT.

CONCLUSIONS

CT is a strong predictor of occupational failure and associated with more psychiatric impairment in the participants and their families. CT should be assessed in both mood disorder and ADHD patients.

Predominant polarity in bipolar disorder patients: The COPE bipolar sample

BACKGROUND

The concept of predominant polarity (PP) is defined as presenting more symptoms of one polarity. Previous studies have defined PP as one polarity (either a depression or mania episode) occurring during at least two-thirds of the lifetime.

METHODS

We conducted an observational study with the COPE-BD (Clinical Outcome and Psycho-Education for Bipolar Disorder, Clinical Outcome Measures Section) dataset to identify the diagnostic and treatment differences between bipolar disorder (BD) patients with and without PP.

RESULTS

The final sample included 210 BD-I (59.0%) and 146 BD-II (41.0%) patients. Of these, 28.9% patients presented predominant polarity (PP): 62 (17.4%) of those patients were depressed polarity predominant (DPP), 41 (11.5%) were manic polarity predominant (MPP), and 253 (71.1%) met criteria for bipolar disorders but did not present with PP. In comparison to this group of BD patients with undetermined polarity, the group of BD patients with PP presented more rapid cycling. Furthermore, in the undetermined polarity group, the onset of illness occurred earlier, and the duration of the illness was longer, with more hypomanic/manic and depressive episodes than patients who met the PP criteria.

LIMITATIONS

This study has a naturalistic and retrospective design and does not allow a specific follow-up of polarity over time.

CONCLUSIONS

These different clinical characteristics underline the importance of considering PP in patients with BD, and justify the need for differential treatment approach which could have an impact on patients' prognosis. Yet, more independent and prospective research is needed to confirm these findings, especially with the new classification of DSM-5 concerning mixed states.

Predominant polarity in bipolar I and II disorders: A five-year follow-up study

BACKGROUND

Patients with bipolar disorder (BD) differ in their relative predominance of types of episodes, yielding predominant polarity, which has important treatment implications. However, few prospective studies of predominant polarity exist.

METHODS

In the Jorvi Bipolar Study (JoBS), a regionally representative cohort of 191 BD I and BD II in- and outpatients was followed for five years using life-chart methodology. Differences between depressive (DP), manic (MP), and no predominant polarity (NP) groups were examined regarding time ill, incidence of suicide attempts, and comorbidity.

RESULTS

At baseline, 16% of patients had MP, 36% DP, and 48% NP. During the follow-up the MP group spent significantly more time euthymic, less time in major depressive episodes, and more time in manic states than the DP and NP groups. The MP group had significantly lower incidence of suicide attempts than the DP and NP group, lower prevalence of comorbid anxiety disorders but more psychotic symptoms lifetime and more often (hypo)manic first phase of the illness than the DP group. Classification of predominant polarity was influenced by the timeframe used.

LIMITATIONS

The retrospective counting of former phases is vulnerable to recall bias. Assignment of dominant polarity may necessitate a sufficient number of illness phases.

CONCLUSIONS

Predominant polarity has predictive value in predicting group differences in course of illness, but individual patients' classification may change over time. Patients with manic polarity may represent a more distinct subgroup than the two others regarding illness course, suicide attempts, and psychiatric comorbidity.

Predominant polarity classification and associated clinical variables in bipolar disorder: A machine learning approach

BACKGROUND

Bipolar disorder (BD) is a severe psychiatric disorder characterized by periodic episodes of manic and depressive symptomatology. Predominant polarity (PP) appears to be an important specifier of BD. The present study employed machine learning (ML) algorithms to accurately determine a patient´s PP without the inclusion of number and polarity of past episodes, while exploring associations between PP and demographic and clinical variables.

METHODS

From a cohort of 148 BD patients, demographic and clinical variables were collected using a customized questionnaire and the SCID-CV. The algorithm employed was the Random-Forest method. The algorithm was programed to classify patients into either depressive or manic predominant polarities and to reveal which variables were associated to the specifier.

RESULTS

The algorithm attained an AUC ROC of 74.72% (95% CI = 72.29-77.15%) in classifying patients into either manic or depressive PP. The variables selected by the algorithm were: (1) age at first depressive episode; (2) number of hospitalizations; (3) BD Type II; (4) manic onset; (5) delusions; (6) psychotic features at onset; (7) tobacco addiction; (8) family history of BD; (9) hallucinations; and (10) comorbid anxiety disorders, (11) alcohol dependence, (12) eating disorders and (13) substance dependence.

LIMITATIONS

The study is limited due to the small sample size, the inclusion of only self-reported and clinician-observed clinical variables and its cross-sectional design.

DISCUSSION

The results suggest that the ML approach could be effective in determining a patient´s PP. Furthermore, although not previously reported, some variables, such as tobacco use and comorbid eating disorders, appear to be closely associated with PP.

Predominant Polarity in Bipolar Affective Disorder: A Scoping Review of Its Relationship with Clinical Variables and Its Implications

BACKGROUND

Bipolar affective disorder (BPAD) is an episodic psychiatric disorder that is associated with considerable morbidity. Psychiatrists have found it difficult to treat the disorder owing to the variety of presentation and variety of challenges in clinical decision-making. To guide the clinicians, the concept of predominant polarity (PP) in BPAD has become important. This review was conducted to understand the definition, epidemiology, relationship with sociodemographic and clinical parameters, and implications of PP in BPAD.

METHODOLOGY

The review was conducted after selecting 17 original research studies from PubMed using appropriate search terms.

RESULTS

There is no consensus definition of PP. Epidemiological data showed varied results, although most common PP demonstrated in most studies was depressive polarity. The relation between sociodemographic and clinical parameters also lacked uniformity, although certain patterns could be identified in their relationships. The implications of PP in diagnostics, treatment, and classificatory system are discussed.

CONCLUSION

PP in BPAD conveys clinically important information that aids a clinician in decision-making. Further studies are required so that we can understand the neurobiological underpinning of the concept.

Duration of euthymia and predominant polarity in bipolar disorder

BACKGROUND

The concept of Predominant Polarity (PP) provides relevant information for clinical practice and has been widely described as course specifier for Bipolar Disorder (BD), however it has not been incorporated in DSM-5 yet. A descriptive study was conducted to identify clinical patterns associated with PP in outpatients attending a Mental Health Unit.

METHODS

Clinical and socio-demographic characteristics were assessed from a sample of 118 euthymic outpatients fulfilling DSM 5 criteria for BDI or II recruited at a catchment area. According to their PP, patients were divided into three subgroups: depressive (DPP; 39.0%), manic (MPP; 32.2%) or indeterminate (IPP; 28.8%). Subgroups of PP were compared regarding a comprehensive set of demographic and clinical features.

RESULTS

PP subgroups significantly differed in duration of euthymia, measured in months since the last episode (p < 0.04), with MMP patients showing longer periods (42.4 months) than those with DPP and IPP (18.6 and 18.1 months, respectively). Moreover, history of seasonal pattern was significantly higher in the DPP group compared with the PPM group (p < 0.001). There were no significant correlations between PP and type of last episode, length of illness, number of previous admissions, history of psychotic symptoms, or number of suicide attempts.

LIMITATIONS

Cross sectional design, relatively modest sample size.

CONCLUSIONS

Our study showed similar results to previous literature regarding distribution of predominant polarity. The association found between PP and duration of euthymia represents a novel finding which awaits confirmation and adds further support to the usefulness of PP in clinical practice.

Impact of predominant polarity on long-term outcome in bipolar disorder: A 7-year longitudinal cohort study

INTRODUCTION

Recent studies suggest that Predominant Polarity (PP) may be an important specifier of Bipolar Disorder (BD), establishing distinct groups of patients and providing a potential tool for tailored treatment. PP has been associated to various clinical variables present in the course of the disorder, including deficits in cognitive functioning, suicide attempts, hospitalizations and response to pharmacological treatment. However, most published studies are retrospective and cross-sectional, frequently relying on patients´ ability to recall past information, which may often be inaccurate.

METHODS

Participants were recruited from the outpatient clinic of the Bipolar Disorder Research Program at the Institute of Psychiatry of the University of São Paulo. Baseline clinical and demographic variables were collected using a semi-structured questionnaire and the SCID-CV. Longitudinal data were collected through medical records, mood charts, and mood symptom scales conducted throughout a 7-year follow-up period.

RESULTS

Manic Predominant Polarity (MPP) was associated with a significantly higher number of hospitalizations, suicide attempts, and episodes with psychotic symptoms throughout the 7-year observed period in comparison to Depressive Predominant Polarity (DPP) and Indefinite Predominant Polarity (IPP) patients. Moreover, baseline PP was significantly associated with 7-year PP, with 67% of patients maintaining their PP both at baseline and after the 7-year follow-up period.

LIMITATIONS

The present study is limited due to the statistically small sample size, although, to our knowledge, it is the largest longitudinal study conducted in this topic, and the unequally distributed frequency of patients´ visitations, which may have created intervals of unobserved periods within the follow-up period.

DISCUSSION

The results revealed PP to be an important specifier for predicting the course of the disorder. Overall, MPP was significantly associated with variables indicative of a worse outcome, suggesting that greater attention to preventive treatment should be addressed to this subgroup. Lastly, baseline PP was significantly associated with 7-year observed PP, suggesting that patients tend to remain within the same PP throughout the course of the disorder.

The relationship between insight and affective temperament in bipolar disorder: an exploratory study

INTRODUCTION

In recent years, the association between temperament and clinical characteristics of mood disorders has been studied. Most bipolar patients show deficits in their awareness of signs and symptoms. The relationship between affective temperament and insight in bipolar patients has not been carried out in the literature so far.

OBJECTIVE

To evaluate the relationship between affective temperament and insight in bipolar disorder.

METHOD

A group of 65 bipolar patients were followed during a year. Patients underwent a clinical assessment and were diagnosed using criteria from the Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5). Insight was evaluated through the Insight Scale for Affective Disorders (ISAD), and affective temperament, through the TEMPS-Rio de Janeiro. The relationship between affective temperament and insight was explored with Spearman rho correlations between scores on each item of the ISAD and on the TEMPS-Rio de Janeiro subscales.

RESULTS

In euthymic phases, bipolars with depressive temperament were associated with a higher level of insight about the consequences of the disorder; when in mania, patients showed better insight about having an affective disorder, presenting psychomotor alterations, and suffering from guilt or grandiosity. Similarly, bipolar patients with higher scores of anxious temperament, when in mania, had better insight on alterations in attention. Bipolar patients with higher scores of hyperthymic temperament, when in mania, showed the worst insight about thought disorder.

CONCLUSION

In addition to being determined by the phase of the disease and several varying symptoms, the level of insight in bipolar patients is also influenced by affective temperament.

The role of lifetime anxiety history in the course of bipolar spectrum disorders

Individuals with bipolar spectrum disorder (BSD) frequently meet criteria for comorbid anxiety disorders, and anxiety may be an important factor in the etiology and course of BSDs. The current study examined the association of lifetime anxiety disorders with prospective manic/hypomanic versus major depressive episodes. Participants were 244 young adults (aged 17-26) with milder forms of BSDs (i.e., bipolar-II, cyclothymia, BD-NOS). First, bivariate analyses assessed differences in baseline clinical characteristics between participants with and without DSM-IV anxiety diagnoses. Second, negative binomial regression analyses tested whether lifetime anxiety predicted number of manic/hypomanic or major depressive episodes developed during the study. Third, survival analyses evaluated whether lifetime anxiety predicted time to onset of manic/hypomanic and major depressive episodes. Results indicated that anxiety history was associated with greater illness severity at baseline. Over follow-up, anxiety history predicted fewer manic/hypomanic episodes, but did not predict number of major depressive episodes. Anxiety history also was associated with longer time to onset of manic/hypomanic episodes, but shorter time to onset of depressive episodes. Findings corroborate past studies implicating anxiety disorders as salient influences on the course of BSDs. Moreover, results extend prior research by indicating that anxiety disorders may be linked with reduced manic/hypomanic phases of illness.

Prevalence and Associated Features of Anxiety Disorder Comorbidity in Bipolar Disorder: A Meta-Analysis and Meta-Regression Study

Objective: Bipolar disorder is highly comorbid with anxiety disorders, however current and lifetime comorbidity patterns of each anxiety disorder and their associated features are not well studied. Here, we aimed to conduct a meta-analysis and meta-regression study of current evidence. Method: We searched PubMed to access relevant articles published until September 2015, using the keywords "Bipolar disorder" or "Affective Psychosis" or "manic depressive" separately with "generalized anxiety," "panic disorder," "social phobia," "obsessive compulsive," and "anxiety." Variables for associated features and prevalence of anxiety disorders were carefully extracted. Results: Lifetime any anxiety disorder comorbidity in BD was 40.5%; panic disorder (PD) 18.1%, generalized anxiety disorder (GAD) 13.3%, social anxiety disorder (SAD) 13.5% and obsessive compulsive disorder (OCD) 9.7%. Current any anxiety disorder comorbidity in BD is 38.2%; GAD is 15.2%, PD 13.3%, SAD 11.7%, and OCD 9.9%. When studies reporting data about comorbidities in BDI or BDII were analyzed separately, lifetime any anxiety disorder comorbidity in BDI and BDII were 38% and 34%, PD was 15% and 15%, GAD was 14% and 16.6%, SAD was 8% and 13%, OCD was 8% and 10%, respectively. Current any DSM anxiety disorder comorbidity in BDI or BDII were 31% and 37%, PD was 9% and 13%, GAD was 8% and 12%, SAD was 7% and 11%, and OCD was 8% and 7%, respectively. The percentage of manic patients and age of onset of BD tended to have a significant impact on anxiety disorders. Percentage of BD I patients significantly decreased the prevalence of panic disorder and social anxiety disorder. A higher rate of substance use disorder was associated with greater BD-SAD comorbidity. History of psychotic features significantly affected current PD and GAD. Conclusions: Anxiety disorder comorbidity is high in BD with somewhat lower rates in BDI vs BDII. Age of onset, substance use disorders, and percentage of patients in a manic episode or with psychotic features influences anxiety disorder comorbidity.

Temperaments in psychotic and major affective disorders

BACKGROUND

Assessment of affective temperaments with the extensively validated, 110-item TEMPS-A autoquestionnaire has been used to characterize patients with mood disorders, and its scores have been associated consistently with suicidal behavior. Much less has been reported about comparisons of characteristics of such assessments in psychotic and other psychiatric disorders.

METHODS

We analyzed results of TEMPS-A assessments in 1081 psychiatrically hospitalized patients in Rome and compared subscale scores (anxious [anx], cyclothymic [cyc], depressive [dep], irritable [irr], hyperthymic [hyp]) and a composite score (anx+cyc+dep+irr - hyp) among diagnoses and subjects with vs. without a suicide attempt.

RESULTS

TEMPS-A subscale scores differed significantly among diagnoses and were higher with major affective than psychotic or other disorders. Suicide attempts were 1.5-times more frequent among women than men and with affective versus nonaffective disorders, ranking: bipolar-II > major depression > bipolar-I > other disorders > psychotic disorders. TEMPS-A subscores were significantly higher among suicidal subjects (ranking: anx ≥ cyc ≥ dep > irr) except hyp (lower), but the composite score differed most (1.37-fold higher). Multivariable logistic regression modeling indicated that suicide attempt was significantly and independently associated with: TEMPS-A composite score > female sex > affective disorder > older age.

CONCLUSIONS

TEMPS-A scores, particularly a composite score (anx+cyc+dep+irr - hyp) may help effectively evaluate suicidal risk in association with nonaffective as well as affective disorders.

The influence of current mood state, number of previous affective episodes and predominant polarity on insight in bipolar disorder

BACKGROUND

Although many studies have explored the effect of current affective episodes on insight into bipolar disorder, the potential interaction between current mood state and previous affective episodes has not been consistently investigated.

OBJECTIVE

To explore the influence of dominant polarity, number of previous affective episodes and current affective state on insight in bipolar disorder patients in euthymia or mania.

METHODS

A total of 101 patients with bipolar disorder were recruited for the study, including 58 patients in euthymia (30 with no defined predominant polarity and 28 with manic predominant polarity) and 43 in mania (26 with no defined predominant polarity and 17 with manic predominant polarity). Patients underwent a clinical assessment and insight was evaluated through the Insight Scale for Affective Disorders.

RESULTS

Bipolar disorder patients in mania had worse insight than those in euthymia, with no effect of dominant polarity. In addition, positive psychotic symptoms showed a significant effect on insight and its inclusion as a covariate eliminated differences related to mood state. Finally, the number of previous manic or depressive episodes did not correlate with insight level.

CONCLUSIONS

Mania is a predictor of loss of insight into bipolar disorder. However, it is possible that its contribution is linked to the more frequent presence of psychotic symptoms in this state. Dominant polarity and number/type of previous affective episodes have a limited impact on insight.

Is Mania the Hypertension of the Mood? Discussion of A Hypothesis

Beyond both being biphasic/bidirectional disorders (hypo)mania and essential hypertension share a surprising number of similarities and an overlap between their genetics, biological background, underlying personality and temperamental factors, precipitating factors, comorbidity and response to treatment, indicating a possibly partially shared biological background. Based on theoretical knowledge, similarities related to characteristics, manifestation and course, and the results of pharmacological studies related to the effects and side effects of pharmacotherapies used in the treatment of these two distinct disorders, the authors outline a hypothesis discussing the similar origins of these two phenomena and thus mania being the hypertension of mood in memory of Athanasios Koukopoulos, one of the greatest researchers and theoreticists of mania of all time.

Duration of untreated illness in first-treatment bipolar I disorder in relation to clinical outcome and cannabis use

There is little knowledge about the role of the duration of untreated bipolar (DUB) illness in first-treatment bipolar disorder I (BD I), its association with symptoms at start of first treatment, and development over the first year, and limited knowledge about factors that influence the length of DUB. Substance use has shown to delay identification of primary psychiatric disorders, and while cannabis use is common in BD the role of cannabis in relationship to DUB is unclear. The aim of the present study is to examine the associations between DUB and key clinical outcomes at baseline in BD I, and at one year follow-up, and to evaluate the influence of cannabis use. Patients with first-treatment BD I (N=62) completed comprehensive clinical evaluations, which included both DUB and the number of previous episodes. There were no significant associations between DUB and key clinical outcomes. Longer duration from first manic episode to treatment was associated with risk of starting excessive cannabis use after onset of the bipolar disorder. The main finding is the lack of significant associations between features of previous illness episodes and clinical outcomes. Long duration of untreated mania seems to increase the risk for later cannabis use.