Prevalence and predictors of bipolar disorders in patients with a major depressive episode: the Japanese epidemiological trial with latest measure of bipolar disorder (JET-LMBP)

Effect of prior depression diagnosis on bipolar disorder outcomes: A retrospective cohort study using a medical claims database

BACKGROUND

Bipolar disorder often emerges from depressive episodes and is initially diagnosed as depression. This study aimed to explore the effects of a prior depression diagnosis on outcomes in patients diagnosed with bipolar disorder.

METHODS

This cohort study analyzed data of patients aged 18-64 years who received a new bipolar disorder diagnosis in Japan, using medical claims data from January 2005 to October 2020 provided by JMDC, Inc. The index month was defined as the time of the bipolar diagnosis. The study assessed the incidence of psychiatric hospitalization, all-cause hospitalization, and mortality, stratified by the presence of a preceding depression diagnosis and its duration (≥1 or <1 year). Hazard ratios (HRs) and p-values were estimated using Cox proportional hazards models, adjusted for potential confounders, and supported by log-rank tests.

RESULTS

Of the 5595 patients analyzed, 2460 had a history of depression, with 1049 experiencing it for over a year and 1411 for less than a year. HRs for psychiatric hospitalization, all hospitalizations, and death in patients with a history of depression versus those without were 0.92 (95% CI = 0.78-1.08, p = 0.30), 0.87 (95% CI = 0.78-0.98, p = 0.017), and 0.61 (95% CI = 0.33-1.12, p = 0.11), respectively. In patients with preceding depression ≥1 year versus <1 year, HRs were 0.89 (95% CI = 0.67-1.19, p = 0.43) for psychiatric hospitalization, 0.85 (95% CI = 0.71-1.00, p = 0.052) for all hospitalizations, and 0.25 (95% CI = 0.07-0.89, p = 0.03) for death.

CONCLUSION

A prior history and duration of depression may not elevate psychiatric hospitalization risk after bipolar disorder diagnosis and might even correlate with reduced hospitalization and mortality rates.

Predictive Value of qEEG in Manic Switch of Depressed Patients

Backgrounds: More than half of the patients with bipolar disorder (BD) had depressive episodes at the onset of BD. Despite some suggested clinical predictors, there are no certain criteria for predicting which unipolar depression patient switch to manic episodes during the treatment course. Electrophysiological markers can address this issue. Methods: Pretreatment quantitative electroencephalography (qEEG) records of patients diagnosed with major depressive disorder (MDD) or BD at the first visit were included in the study. Patients with MDD were also grouped with manic switch (MS) or MDD based on the diagnosis of later visits. The qEEG spectral power was analyzed across 3 groups, that is, MS, MDD, and BD. Results: Compared to patients whose diagnosis did not change, patients with MS had accelerated high-frequency activities predominantly in the left hemisphere (central-parietal-occipital regions). In contrast, they showed increased slow wave activity predominantly in the right hemisphere (parietal-occipital regions). Conclusion: It can be concluded that searching for electrophysiological markers, which have distinct advantages of repeatability, noninvasiveness, and cost-effectiveness, can facilitate the prediction of the MS.

Diagnosis of bipolar and major depressive disorders: The appropriateness of MINI compared to the clinical interview in a sample of patients with mood disorders in tertiary mental health care

OBJECTIVE

The Mini International Neuropsychiatric Interview (MINI) is one of the most used instruments for the assessment of Mental Disorders, playing an essential role in psychiatric research and in clinical and hospital practice. Despite this, the accuracy of the MINI, when used by a psychiatrist, is poorly studied, particularly in relation to Bipolar Disorder (BD). The early diagnosis of BD and Major Depressive Disorder (MDD) is extremely important, as it provides an opportunity for intervention that can reduce the impact on the patient's daily life and functionality. As such, this study assesses the suitability of MINI for diagnosing BD or MDD in a sample of patients with mood disorders.

METHOD

Agreement between the MINI and the clinical interview was assessed in a sample of 347 outpatients by calculating Cohen's kappa, sensitivity, specificity, positive predictive value, negative predictive value, and the area under the curve (AUC).

RESULTS

The sample consisted of 347 patients with mood disorders. 279 were women (80.40%), 105 (30.3%) were diagnosed with MDD and 242 (69.7%) with BD from the assessment performed in the clinical interview. In the MINI assessment, 97 individuals (28%) were classified with a diagnosis of MDD and 250 (72%) with BD. We found a sensitivity of 87.2% and specificity of 62.8% for the MINI in the diagnosis of BD and a Cohen's kappa between the MINI and the clinical interview of 0.51. The AUC was 0.75.

CONCLUSIONS

MINI has greater sensitivity (87.2%) for the diagnosis of BD and greater specificity (87.2%) for the diagnosis of MDD. In addition, the moderate Cohen kappa (0.51) and AUC (0.75) values between the MINI and the clinical interview are acceptable when considering most available psychiatric diagnostic tools.

Vortioxetine as a potential alternative for patients with escitalopram-induced jitteriness/anxiety syndrome: A report of three cases

Background

Jitteriness/anxiety syndrome is a recognized adverse effect observed during the initiation or change of dose in antidepressant treatment. Managing patients who develop this syndrome remains a challenge. While escitalopram is a widely used antidepressant known to cause these symptoms, this report explores vortioxetine as a therapeutic alternative.

Case Presentation

Three distinct clinical scenarios were observed in patients who manifested jitteriness/anxiety syndrome while on escitalopram treatment for depression. Patient A was initiated on escitalopram and experienced an initial alleviation in depressive symptoms, but 3 months later displayed mood elevation, talkativeness, and increased activity, which disturbed his daily life. A transition to vortioxetine subsequently resolved the mood elevation. Patient B exhibited elevated mood, hyperactivity, irritability, and talkativeness just 6 days post-initiation of treatment with escitalopram. After the discontinuation of escitalopram and unsuccessful trials with aripiprazole, lurasidone, and lamotrigine, her depressive mood intensified, culminating in suicidal ideation. Starting vortioxetine led to a consistent improvement of her symptoms, and she resumed work and was emotionally stable. Patient C was initially diagnosed with bipolar disorder and faced a relapse into depression despite undergoing various treatments. After 2 weeks on escitalopram, she exhibited irritability and self-harm urges. Three months later, after being re-diagnosed with depressive disorders with anxious distress, vortioxetine was administered, which significantly reduced her depressive symptoms and allowed her to continue her education.

Conclusion

Vortioxetine presents as a promising therapeutic alternative that is worth considering for patients with escitalopram-induced jitteriness/anxiety syndrome.

Differentiation between bipolar disorder and major depressive disorder in adolescents: from clinical to biological biomarkers

Background

Mood disorders are very common among adolescents and include mainly bipolar disorder (BD) and major depressive disorder (MDD), with overlapping depressive symptoms that pose a significant challenge to realizing a rapid and accurate differential diagnosis in clinical practice. Misdiagnosis of BD as MDD can lead to inappropriate treatment and detrimental outcomes, including a poorer ultimate clinical and functional prognosis and even an increased risk of suicide. Therefore, it is of great significance for clinical management to identify clinical symptoms or features and biological markers that can accurately distinguish BD from MDD. With the aid of bibliometric analysis, we explore, visualize, and conclude the important directions of differential diagnostic studies of BD and MDD in adolescents.

Materials and methods

A literature search was performed for studies on differential diagnostic studies of BD and MDD among adolescents in the Web of Science Core Collection database. All studies considered for this article were published between 2004 and 2023. Bibliometric analysis and visualization were performed using the VOSviewer and CiteSpace software.

Results

In total, 148 publications were retrieved. The number of publications on differential diagnostic studies of BD and MDD among adolescents has been generally increasing since 2012, with the United States being an emerging hub with a growing influence in the field. Boris Birmaher is the top author in terms of the number of publications, and the Journal of Affective Disorders is the most published journal in the field. Co-occurrence analysis of keywords showed that clinical characteristics, genetic factors, and neuroimaging are current research hotspots. Ultimately, we comprehensively sorted out the current state of research in this area and proposed possible research directions in future.

Conclusion

This is the first-ever study of bibliometric and visual analyses of differential diagnostic studies of BD and MDD in adolescents to reveal the current research status and important directions in the field. Our research and analysis results might provide some practical sources for academic scholars and clinical practice.

Clinical characteristics of bipolar 1 disorder in relation to interleukin-6: a cross-sectional study among Egyptian patients

Background

Strong evidence in the literature points to the role of pro-inflammatory cytokines in bipolar disorder (BD) pathophysiology. Interleukin-6 (IL-6) is a pro and anti-inflammatory cytokine that was repeatedly found higher in bipolar patients than in healthy controls. However, studies on the phasic differences of IL-6 in bipolar type I (BP-I) were limited. This study aims to explore the phasic differences of serum IL-6 levels in BP-I during euthymia, depression, and mania and their association with the disease’s clinical characteristics in a sample of Egyptian BP-I patients. Thirty currently euthymic, 24 currently depressed, 29 currently manic BP-I patients, and 20 healthy subjects were recruited. Serum IL-6 levels were compared among BP-I groups and then between each group and a group of 20 healthy controls. Serum IL-6 levels (pg/ml) were measured with a sandwich enzyme-linked immunosorbent assay (ELISA). Depression and mania symptoms were assessed using the Hamilton Depression Rating Scale (HDRS) and the Young Mania Rating Scale (YMRS), respectively. Clinical characteristics were evaluated through a semi-structured clinical psychiatric interview, and cognitive status was tested using the Montreal Cognitive Assessment (MoCA).

Results

Serum IL-6 levels were significantly higher in each bipolar phase than in healthy subjects. In the BP-I patients, IL-6 levels were lower in patients with a current manic episode than in patients with a current depressive episode (P < 0.05) or who were currently euthymic (P < 0.001). Moreover, IL-6 levels correlated inversely with the YMRS score (rs =  − 0.29; P < 0.05). Compared to patients without psychotic features, patients with psychotic features had decreased serum IL-6. Moreover, IL-6 levels were lower in inpatients compared to outpatients.

Conclusions

BP-I disorder is associated with an inflammatory state. The decreased levels of IL-6 during manic episodes, affective episodes with psychotic features, and their inverse correlation with the severity of mania symptoms indicate a possible anti-inflammatory role of IL-6 in mania and psychotic symptoms pathogenesis.

Risk of conversion to bipolar disorder in patients with late-onset major depression

To evaluate the impact of age at onset on late-life depression course and on risk of conversion to bipolar disorder (BD). A retrospective chart review of 100 elderly patients (age ≥ 65 years) diagnosed with a moderate-to-severe depressive episode and followed up for at least 18 months was conducted. Among patients affected by major depressive disorder ( N = 57), follow-up morbidity differences between those with typical onset depression (TOD) (&lt;60 years) and those with late-onset depression (LOD) (≥60 years) were investigated using Wilcoxon rank-sum test and Cox proportional hazard model. Patients belonging to the LOD group had a significantly lower percentage of follow-up time spent with depressive symptoms compared with patients with TOD ( r = 0.36; P = 0.006), but significantly more time spent with (hypo)manic episodes ( r = -0.31; P = 0.021). Moreover, LOD was significantly associated with a faster conversion to BD (hazard ratio = 3.05; P = 0.037). Depression first emerging in late life may represent an unstable condition with a high risk to convert to BD. Given the potential clinical implications, further studies on the course of LOD are required.

A piece of the puzzle: Does bipolarity partly explain the high prevalence of treatment resistance in depression?

In this cross-sectional study we examined whether the prevalence of treatment resistant depression (TRD) can be partly attributed to level of bipolarity. We included data of 201 patients with either episodic depression or TRD, who received treatment for their depression at either an outpatient or 2nd opinion/daytime setting, within a specialised mental healthcare department in the Netherlands. Whether level of TRD, assessed by the 'Dutch Measure for quantification of Treatment Resistance in Depression', can be partly explained by level of bipolarity, assessed by 'the Bipolarity Index', was examined using linear regression. We found no direct association between level of TRD and level of bipolarity, nor did comorbid anxiety disorders obscure an existing association. In this study we found no evidence for overlooked bipolarity contributing to the high prevalence of TRD. If replicated, we could state that additional screening on bipolarity with an instrument such as the 'Bipolarity Index' in the specialised mental health care is unnecessary.

Changes in major psychiatric disorders in children and adolescents from 2001 to 2020: A retrospective single-center study

OBJECTIVE

This study aimed to determine the hospitalization rates, length of stay, age at the time of admission, and sex distribution for major psychiatric disorders in children and adolescents and provide a reference for early intervention for these diseases and distribution of medical resources in hospitals.

METHODS

We screened 4,423 patients in the child and adolescent wards of the Anhui Provincial Mental Health Center from 2001 to 2020, and examined the top four (81.1%) mental health disorders that accounted for the overall proportion of patients admitted, namely schizophrenia (SCZ) (45.7%), depressive disorder (DD) (14.5%), bipolar disorder (BD) (9.3%), and childhood emotional disorder (CED) (11.6%), and for each disorder, the percentage of hospitalization, length of stay, age at admission, and sex distribution were analyzed.

RESULTS

From 2001 to 2020, there was a significantly decreasing trend in the proportion of hospitalizations for SCZ (p < 0.001) and an increasing trend for depression and CED (p < 0.001). In terms of length of stay, SCZ was significantly longer than the other three disorders (p < 0.001), whereas there was no significant difference between DD, BD, and CED, and there was no significant trend in length of stay for any of the four disorders. The age at admission for CED was significantly lower than that for the other three disorders (p < 0.001). There was a decreasing trend in the age at admission for DD (p = 0.011) and an increasing trend for BD (p = 0.001). A significant increase in the number of female patients admitted for SCZ, DD, and CED was observed, while there was no significant change in the sex ratio for BD.

CONCLUSION

Although there is a significant downward trend in the percentage of hospitalizations for SCZ, it is still the most common psychiatric disorder in children and adolescents. We observed a significant increase in the percentage of hospitalizations for DD and CED. In addition, the proportion of female patients being hospitalized is on the rise, and this aspect requires continuous attention.

Predictors of social anxiety disorder with major depressive episodes among Japanese university students

Background

Social anxiety disorder (SAD) develops in the early teens and is a common disorder among university students. Understanding the predictive factors of SAD comorbid with major depressive episode (MDE) is important for student mental health care. The aim of this study was to identify the personality traits that predict SAD with MDE by analyzing longitudinal data of Japanese university students.

Methods

In this retrospective study, Japanese university students who visited the health care center of Hokkaido University for the first time were divided into the following four groups: “Control” (n = 43), “MDE” (n = 16), “SAD” (n = 28), and “SAD with MDE” (n = 61) based on the Patient Health Questionnaire-9 (PHQ-9), the Liebowitz Social Anxiety Scale, and core anxiety symptoms for SAD in the Mini International Neuropsychiatric Interview during screening. Predictors for SAD with MDE were identified by a four-group comparison of the Temperament and Character Inventory and PHQ-9 data previously obtained at the enrollment using analysis of variance and post-hoc tests.

Results

Upon comparing the four groups using analysis of variance, there were significant differences in the baseline PHQ-9 summary score, Harm-Avoidance (HA), and Self-Directedness (SD). According to results of the post-hoc test, all three showed a significant difference between the “Control” and “SAD with MDE.” Furthermore, there was a significant difference in HA scores between “SAD” and “Control.” In all the groups, the mean time from enrollment to the first visit to the center was >2 years.

Conclusion

A higher HA score at baseline is a predictor of SAD with or without MDE. Higher PHQ-9 summary and lower SD scores at baseline are predictive factors of SAD with MDE.

Prevalence and profile of depressive mixed state in patients with autism spectrum disorder

PURPOSE

The present study aimed to clarify prevalence and profile of depressive mixed state (DMX) in depressed individuals with autism spectrum disorder (ASD).

PATIENTS AND METHODS

The Quick Inventory of Depressive Symptomatology Self-Report Japanese version (QIDS-SR-J) and global assessment of functioning (GAF) were administered to 182 consecutive patients (36 ASD and 146 non-ASD subjects) with a major depressive episode (MDE). DMX was categorically diagnosed according to the criteria for mixed depression (MD) by Benazzi and mixed features (MF) specifier by DSM-5. Severity of DMX was assessed by the self-administered 12-item questionnaire for DMX (DMX-12). Clinical backgrounds and incidence/severity of DMX were compared between the ASD and non-ASD groups.

RESULTS

ASD patients showed higher prevalence of MD than non-ASD patients (36.1% versus 18.5%). Mood lability, distractibility, impulsivity, aggression, irritability, dysphoria and risk-taking behavior as mixed symptoms were more prevalent in ASD patients than those in non-ASD patients, together with higher scores of total DMX-12 and its disruptive emotion/behavior cluster. Multiple regression analysis revealed significant contribution of ASD to the disruptive emotion/behavior symptoms.

CONCLUSION

Careful monitoring and management of potential DMX are warranted in depressed ASD individuals.

Probing the clinical and brain structural boundaries of bipolar and major depressive disorder

Bipolar disorder (BD) and major depressive disorder (MDD) have both common and distinct clinical features, that pose both conceptual challenges in terms of their diagnostic boundaries and practical difficulties in optimizing treatment. Multivariate machine learning techniques offer new avenues for exploring these boundaries based on clinical neuroanatomical features. Brain structural data were obtained at 3 T from a sample of 90 patients with BD, 189 patients with MDD, and 162 healthy individuals. We applied sparse partial least squares discriminant analysis (s-PLS-DA) to identify clinical and brain structural features that may discriminate between the two clinical groups, and heterogeneity through discriminative analysis (HYDRA) to detect patient subgroups with reference to healthy individuals. Two clinical dimensions differentiated BD from MDD (area under the curve: 0.76, P < 0.001); one dimension emphasized disease severity as well as irritability, agitation, anxiety and flight of ideas and the other emphasized mostly elevated mood. Brain structural features could not distinguish between the two disorders. HYDRA classified patients in two clusters that differed in global and regional cortical thickness, the distribution proportion of BD and MDD and positive family history of psychiatric disorders. Clinical features remain the most reliable discriminant attributed of BD and MDD depression. The brain structural findings suggests that biological partitions of patients with mood disorders are likely to lead to the identification of subgroups, that transcend current diagnostic divisions into BD and MDD and are more likely to be aligned with underlying genetic variation. These results set the foundation for future studies to enhance our understanding of brain-behavior relationships in mood disorders.

A double-blind, randomized, placebo-controlled trial of adjunctive blue-blocking glasses for the treatment of sleep and circadian rhythm in patients with bipolar disorder

OBJECTIVES

Recent studies have suggested that evening blue light exposure is associated with sleep and circadian rhythm abnormalities. This study examined the effect of blue-blocking (BB) glasses on sleep and circadian rhythm in patients with bipolar disorder (BD).

METHODS

We used a randomized, placebo-controlled, double-blinded design. Outpatients with BD and also with insomnia were randomly assigned to wear either orange glasses (BB) or clear ones (placebo) and were instructed to use these from 20:00 hours until bedtime for 2 weeks. The primary outcome metric was the difference in change from baseline to after intervention in sleep quality, as measured by the visual analog scale (VAS).

RESULTS

Forty-three patients were included in this study (BB group, 21; placebo group, 22). The change in sleep quality as per the VAS metric was not significantly different between the two groups (95% confidence interval [CI], -3.34 to 24.72; P = .13). However, the Morningness-Eveningness Questionnaire score had shifted to an advanced rhythm in the BB group and to a delayed rhythm in the placebo group, and the difference in these changes was statistically significant (95% CI, 1.69-7.45; P = .003). The change in the actigraphy sleep parameters and mood symptoms was not significantly different between the two groups.

CONCLUSION

Although concurrent medications may have influenced, our results suggest that BB glasses may be useful as an adjunctive treatment for circadian rhythm issues in patients with BD.

Incidence of and factors associated with manic episodes and bipolar disorder in the decade following depression onset in Germany

AIM

The goal of this retrospective cohort study was to analyze the incidence of and factors associated with manic episodes and bipolar disorder in the decade following a depression diagnosis in patients from Germany.

METHODS

This study included adults who were diagnosed with depression for the first time in one of 199 neuropsychiatric practices in Germany between 2007 and 2017 (index date). The cumulative incidence of a manic episode or bipolar disorder was estimated for up to 10 years after the index date using Kaplan-Meier curves. Multivariate Cox regression models were further used to investigate the association between demographic, clinical, and pharmaceutical variables and the incidence of manic episodes and bipolar disorder.

RESULTS

This study included 162,689 patients [mean (standard deviation) age 51.6 (14.9) years; 63.2% women]. Ten years after a depression diagnosis, the incidence of manic episodes and bipolar disorder ranged from 2.9% to 5.1%. Young age, severe depression, and the prescription of venlafaxine were identified as variables positively associated with manic episodes and bipolar disorder, while several clinical (e.g., somatoform disorders, extrapyramidal and movement disorders) and pharmaceutical variables (e.g., hypericum perforatum, amitriptyline) were negatively associated with bipolarity.

CONCLUSIONS

The incidence of manic episodes and bipolar disorder was relatively low in the decade following a depression diagnosis in Germany. Young age, depression severity, and several clinical and pharmaceutical variables were significantly associated with bipolarity in patients with depression.

Predictive factors of diagnostic conversion from major depressive disorder to bipolar disorder in young adults ages 19-34: A nationwide population study in South Korea

BACKGROUND

Predicting patients who convert to bipolar disorder is important for deciding appropriate treatment for young adults with major depressive disorder (MDD). We focused on the predictive factors of bipolar conversion in a large population of young adults.

METHODS

A nationwide, population-based electronic medical records database from the Health Insurance Review & Assessment service of South was used to investigate adjusted hazard ratio (HR) of each potential predictor of the bipolar converter group compared to the non-converter group using Cox regression analysis including age of onset, medication use, clinical features, comorbid disorders, admission, self-harm, and negative life events in childhood.

RESULTS

Among 291,721 subjects who were initially diagnosed with MDD in young adults, 12,376 subjects experienced diagnostic conversion to bipolar disorder. The cumulative incidence was 6.46% during the average 3.26 years of follow-up. Among the predictive factors during diagnosis of MDD, antipsychotic use (HR 3.12, 95%CI, 2.99-3.26, p < 0.0001) and mood stabilizers (HR 2.45, 95%CI, 2.35-2.55, p < 0.0001) showed the strongest association with diagnostic conversion to bipolar disorder. In addition, female sex, younger age of onset, mood stabilizer use, recurrent depression, psychotic symptoms, and admission to a psychiatric ward during diagnosis of MDD were also associated with diagnostic conversion to bipolar disorder.

CONCLUSION

In young adults with MDD, antipsychotic and mood stabilizer use during diagnosis of MDD were the strongest predictive factors with diagnostic conversion to bipolar disorder during follow-up. If young adults with MDD need antipsychotics or mood stabilizer, patients should be carefully evaluated for possibility of bipolar disorder.

Prevalence of Comorbid Anxiety Disorders and Their Associated Factors in Patients with Bipolar Disorder or Major Depressive Disorder

OBJECTIVE

Comorbid anxiety disorders in patients with mood disorders have a negative impact on outcomes, such as persistence of depressive symptoms, deterioration of quality of life (QoL), increased suicide risk, mood instability with antidepressant treatment, but often go underrecognized in clinical practice. To identify features useful for supporting the confirmation of comorbid anxiety disorders, we investigated the prevalence of comorbid anxiety disorders and their associated factors in Japanese patients with mood disorders using data from our previously reported JET-LMBP study.

PATIENTS AND METHODS

Patients with bipolar disorder (BD; n=114) and patients with major depressive disorder (MDD; n=334), all with major depressive episodes (DSM-IV-TR) were analyzed. Comorbid anxiety disorders were confirmed using the Mini-International Neuropsychiatric Interview. Demographic and clinical features were assessed using patient background forms, including the Quick Inventory of Depressive Symptomatology-Self Report Japanese version, 36-Item Short-Form Health Survey (SF-36), and Child Abuse and Trauma Scale (CATS). Multivariate logistic regression analysis adjusted for age, sex, and severity of depressive symptoms was used to identify factors associated with comorbid anxiety disorders (post hoc analysis).

RESULTS

The prevalence of comorbid anxiety disorders was significantly higher in patients with BD (53.2%) than in patients with MDD (37.2%). Factors associated with comorbid anxiety disorders in BD included no spouse, interpersonal rejection sensitivity, higher CATS sexual abuse scores, and lower SF-36 mental component summary scores. In MDD, factors included hypersomnia, pathological guilt feelings, higher CATS neglect scores, and lower SF-36 physical component summary scores.

CONCLUSION

Comorbid anxiety disorders were commonly seen in Japanese patients with mood disorders. Childhood abuse, atypical depression symptoms, and deterioration of health-related QoL were commonly associated with comorbid anxiety disorders in BD and MDD, suggesting that the presence of these features may be useful to support the confirmation of comorbid anxiety disorders in these patients.

Association between anxious distress in a major depressive episode and bipolarity

PURPOSE

Mixed features in a major depressive episode (MDE) predict bipolar disorder (BD). The mixed features specifier included in the Diagnostic and Statistical Manual of Mental Disorders Fifth Edition (DSM-5) could be restrictive because it excludes the symptoms common to both mania/hypomania and depression, including psychomotor agitation. On the other hand, an anxious distress (ANXD) specifier has also been introduced in the DSM-5, and psychomotor agitation has been defined as a severity of ANXD. In this study, we retrospectively investigated the association between presence of ANXD in an MDE and bipolarity.

PATIENTS AND METHODS

The subjects were patients admitted with an MDE to the Department of Psychiatry at Tokyo Women's Medical University Hospital from December 2014 to March 2016. Eligible patients were older than 20 years of age and met the DSM-5 criteria for major depressive disorder or BD. All data were extracted from medical records. The subjects were grouped according to whether they did or did not have ANXD. The demographics and clinical features of these groups were compared. Severity of illness was evaluated according to the Hamilton Rating Scale for Depression (HRSD) score on admission.

RESULTS

ANXD was present in 31 and absent in 33 of 64 patients with MDE. The HRSD score was significantly higher in the group with ANXD than in the group without ANXD (P=0.0041). Mixed features (P=0.0050) and suicide attempts (P=0.0206) were significantly more common in the group with ANXD than in the group without ANXD.

CONCLUSION

We found that the presence of ANXD in an MDE was associated with greater severity and more mixed features and suicide attempts. It is important to evaluate a patient with an MDE for ANXD so that a diagnosis of mixed depression is not missed. More studies in larger samples are needed to investigate further the association between ANXD in MDE and bipolarity.

Development of the 12-item questionnaire for quantitative assessment of depressive mixed state (DMX-12)

BACKGROUND

Conventional categorical criteria have limitations in assessing the prevalence and severity of depressive mixed state (DMX). Thus, we have developed a new scale for screening and quantification of DMX and examined the symptomatological structure and severity of DMX in individuals with major depressive episode (MDE).

METHODS

Subjects were 154 patients with MDE (57 males and 97 females; age 13-83 years). Our original Japanese version of the self-administered 12-item questionnaire to assess DMX (DMX-12), together with the Quick Inventory of Depressive Symptomatology Self-Report Japanese version (QIDS-SR-J) and global assessment of functioning, were administered to each participant. The symptomatological structure of the DMX-12 was examined by exploratory factor analysis. Multiple regression analyses were used to analyze factors contributing to the DMX-12 scale. The relationships of this scale with categorical diagnoses (mixed depression by Benazzi and mixed features by DSM-5) were also investigated.

RESULTS

A three-factor model of the DMX-12 was extracted from exploratory factor analysis, namely, "spontaneous instability", "vulnerable responsiveness", and "disruptive emotion/behavior". Multiple regression analyses revealed that age was negatively correlated with total DMX-12 score, while bipolarity and the QIDS-SR-J score were positively correlated. A higher score on the disruptive emotion/behavior subscale was observed in patients with mixed depression and mixed features.

CONCLUSION

The DMX-12 seems to be useful for screening DMX in conjunction with conventional categorical diagnoses. Severely depressed younger subjects with potential bipolarity are more likely to develop DMX. The disruptive emotion/behavior subscale of the DMX-12 may be the most helpful in distinguishing patients with DMX from non-mixed patients.

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.

Is suicide risk a predictor of diagnosis conversion to bipolar disorder?

To assess predictors of the diagnosis of bipolar disorder is important since it is known that the early diagnosis is associated with a better response to the treatment. Thus, the aim of this systematic review is to assess the role of the suicide risk in the diagnosis conversion to bipolar disorder. We searched Pubmed, Bireme, Scopus, and PsycINFO with no year restriction for articles containing the words (suicidal or suicide or suicide risk or suicide attempt) and (conversion or switch) and (bipolar disorder or mania or hypomania or bipolar disorders). The review included four studies, with only one confirming that subjects who converted to bipolar disorder had higher rates of suicide risk than subjects who did not convert to bipolar disorder. The main limitation of this review is that few longitudinal studies assessed the predictors of conversion to bipolar disorders. In conclusion, suicide risk appears to be a predictor of bipolar disorder; nevertheless, more studies are needed to confirm this association.

Circadian rhythm in bipolar disorder: A review of the literature

Sleep disturbances and circadian rhythm dysfunction have been widely demonstrated in patients with bipolar disorder (BD). Irregularity of the sleep-wake rhythm, eveningness chronotype, abnormality of melatonin secretion, vulnerability of clock genes, and the irregularity of social time cues have also been well-documented in BD. Circadian rhythm dysfunction is prominent in BD compared with that in major depressive disorders, implying that circadian rhythm dysfunction is a trait marker of BD. In the clinical course of BD, the circadian rhythm dysfunctions may act as predictors for the first onset of BD and the relapse of mood episodes. Treatments focusing on sleep disturbances and circadian rhythm dysfunction in combination with pharmacological, psychosocial, and chronobiological treatments are believed to be useful for relapse prevention. Further studies are therefore warranted to clarify the relation between circadian rhythm dysfunction and the pathophysiology of BD to develop treatment strategies for achieving recovery in BD patients.

Detecting Manic State of Bipolar Disorder Based on Support Vector Machine and Gaussian Mixture Model Using Spontaneous Speech

OBJECTIVE

This study was aimed to compare the accuracy of Support Vector Machine (SVM) and Gaussian Mixture Model (GMM) in the detection of manic state of bipolar disorders (BD) of single patients and multiple patients.

METHODS

21 hospitalized BD patients (14 females, average age 34.5±15.3) were recruited after admission. Spontaneous speech was collected through a preloaded smartphone. Firstly, speech features [pitch, formants, mel-frequency cepstrum coefficients (MFCC), linear prediction cepstral coefficient (LPCC), gamma-tone frequency cepstral coefficients (GFCC) etc.] were preprocessed and extracted. Then, speech features were selected using the features of between-class variance and within-class variance. The manic state of patients was then detected by SVM and GMM methods.

RESULTS

LPCC demonstrated the best discrimination efficiency. The accuracy of manic state detection for single patients was much better using SVM method than GMM method. The detection accuracy for multiple patients was higher using GMM method than SVM method.

CONCLUSION

SVM provided an appropriate tool for detecting manic state for single patients, whereas GMM worked better for multiple patients' manic state detection. Both of them could help doctors and patients for better diagnosis and mood state monitoring in different situations.

The World Federation of Societies of Biological Psychiatry (WFSBP) Guidelines for the Biological Treatment of Bipolar Disorders: Acute and long-term treatment of mixed states in bipolar disorder

OBJECTIVES

Although clinically highly relevant, the recognition and treatment of bipolar mixed states has played only an underpart in recent guidelines. This WFSBP guideline has been developed to supply a systematic overview of all scientific evidence pertaining to the acute and long-term treatment of bipolar mixed states in adults.

METHODS

Material used for these guidelines is based on a systematic literature search using various data bases. Their scientific rigour was categorised into six levels of evidence (A-F), and different grades of recommendation to ensure practicability were assigned. We examined data pertaining to the acute treatment of manic and depressive symptoms in bipolar mixed patients, as well as data pertaining to the prevention of mixed recurrences after an index episode of any type, or recurrence of any type after a mixed index episode.

RESULTS

Manic symptoms in bipolar mixed states appeared responsive to treatment with several atypical antipsychotics, the best evidence resting with olanzapine. For depressive symptoms, addition of ziprasidone to treatment as usual may be beneficial; however, the evidence base is much more limited than for the treatment of manic symptoms. Besides olanzapine and quetiapine, valproate and lithium should also be considered for recurrence prevention.

LIMITATIONS

The concept of mixed states changed over time, and recently became much more comprehensive with the release of DSM-5. As a consequence, studies in bipolar mixed patients targeted slightly different bipolar subpopulations. In addition, trial designs in acute and maintenance treatment also advanced in recent years in response to regulatory demands.

CONCLUSIONS

Current treatment recommendations are still based on limited evidence, and there is a clear demand for confirmative studies adopting the DSM-5 specifier with mixed features concept.

Bipolar disorder in Asia: Illness course and contributing factors

BACKGROUND

Epidemiological studies analysing the course of Bipolar Disorder (BD) are relatively rare in the Asian context, contributing to the uncertainty regarding the prevalent course patterns and factors influencing such patterns. The current review identifies the regional characteristics of BD course patterns and the associated factors.

METHODS

A review of the existing literature was done using 'PubMed' and 'Cochrane' databases which yielded 145 studies including those from all 48 Asian countries. Relevant discussions from the Western literature were incorporated.

RESULTS

Regional and cross-national studies reveal a mania-predominant course in BD in Asian countries. Prolonged depressive episodes and comorbid anxiety disorders worsen the course of BD-II. Certain risk factors such as the young age of onset and greater episode frequency are useful predictors of bipolar diatheses. Substance use disorder comorbidity is more prevalent in males whereas depression and suicidal behaviours are more frequent in females with BD. Comorbid anxiety and personality disorders also encumber the illness course. Logistic reasons and ignorance of side-effects were specifically associated with poor adherence. An 'eveningness' chronotype and poor sleep quality were associated with frequent recurrences. Seasonal patterns vary among men and women, especially for depressive episodes.

LIMITATIONS

The effects of treatment and childhood BD course features were not discussed.

CONCLUSIONS

There are region-specific characteristics in bipolar illness course and factors influencing such course patterns compared to the rest of the World. Future research from Asia shall attempt to study the neurobiological underpinnings of such characteristics and plan appropriate strategies to address the same.

Circadian rhythm sleep-wake disorders as predictors for bipolar disorder in patients with remitted mood disorders

BACKGROUND

Circadian rhythm dysfunction is thought to play a key role in the pathogenesis of bipolar disorder (BD). We focused on circadian rhythm sleep-wake disorders (CRSWD) as possible predictors for bipolar disorder in patients with remitted mood disorders.

METHOD

One hundred four BD (41 type I and 63 type II) outpatients and 73 age- and sex-matched major depressive disorder (MDD) outpatients participated in this study. The subjects were asked to answer questionnaires including demographic variables, clinical course of the disorder, and family history of psychiatric disorders. Severity of mood status was evaluated by the Montgomery-Åsberg Depression Rating Scale and Young Mania Rating Scale. CRSWD was diagnosed by clinical interview and sleep logs based on the International Classification of Sleep Disorders, third edition.

RESULTS

The rate of CRSWD in BD subjects was significantly higher than that in MDD subjects (33.7% vs 9.6%; P < 0.001). A multiple logistic regression analysis revealed that comorbid CRSWD (OR = 3.35, 95% CI = 1.24 - 9.07; P = 0.018), two or more previous mood episodes within the past year (OR = 3.57, 95% CI = 1.10 - 11.63; P = 0.035), and antidepressant-related switch to mania/hypomania (OR = 10.01, 95% CI = 1.20 - 83.52; P = 0.033) were significantly associated with BD in patients with remitted mood disorders.

CONCLUSION

CRSWD, as well as other factors, could be diagnostic predictors for BD in patients with remitted mood disorders. Combinations of these factors might be useful for predicting a BD diagnosis among the mood disorders in a clinical setting.

Distinguishing Bipolar Depression from Unipolar Depression in Youth: Preliminary Findings

OBJECTIVES

To identify mood symptoms that distinguishes bipolar disorder (BP) depression versus unipolar depression in youth during an acute depressive episode.

METHODS

Youth with BP (N = 30) were compared with youth with unipolar depression (N = 59) during an acute depressive episode using the depression and mania items derived from the Schedule for Affective Disorders and Schizophrenia for Children (K-SADS)-Present Version. The results were adjusted for multiple comparisons, and any significant between-group differences in demographic, nonmood comorbid disorders, and psychiatric family history.

RESULTS

In comparison with unipolar depressed youth, BP depressed youth had significantly higher scores in several depressive symptoms and all subsyndromal manic symptoms, with the exception of increased goal-directed activity. Among the depressive symptoms, higher ratings of nonsuicidal physical self-injurious acts and mood reactivity, and lower ratings of aches/pains, were the symptoms that best discriminated BP from unipolar depressed youth. Subsyndromal manic symptoms, particularly motor hyperactivity, distractibility, and pressured speech, were higher in BP depressed youth and discriminated BP depressed from unipolar depressed youth.

CONCLUSIONS

The results of this study suggest that it is possible to differentiate BP depression from unipolar depression based on depressive symptoms, and in particular subsyndromal manic symptoms. If replicated, these results have important clinical and research implications.

Attention-deficit hyperactivity disorder, its treatment with medication and the probability of developing a depressive disorder: A nationwide population-based study in Taiwan

OBJECTIVE

The purpose of this study is to determine the risk of developing depressive disorders by evaluating children with attention-deficit/hyperactivity disorder (ADHD) in comparison to controls that do not have ADHD, as well as to analyze whether the medications used to treat ADHD, methylphenidate (MPH) and atomoxetine (ATX), influence the risk of depression.

METHODS

A group of patients newly diagnosed with ADHD (n=71,080) and age- and gender-matching controls (n=71,080) were chosen from Taiwan's National Health Insurance database during the period of January 2000 to December 2011. Both the patients and controls were monitored through December 31, 2011. We also explore the potential influence of the length of MPH and ATX treatment on developing depressive disorders.

RESULTS

The ADHD patients showed a significantly increased probability of developing a depressive disorder when compared to the control group (ADHD: 5.3% vs.

CONTROLS

0.7%; aHR, 7.16, 99% CI: 6.28-8.16). Regarding treatment with MPH, a longer MPH use demonstrates significant protective effects against developing a depressive disorder (aOR, 0.91, 99%CI: 0.88-0.94). However, the duration of ATX treatment could not be significantly correlated with the probability of developing a depressive disorder.

LIMITATIONS

The database employed in this study lacks of comprehensive clinical information for the patients with ADHD. Potential moderating factors between ADHD and depression were not considered in-depth in this study.

CONCLUSIONS

The results of this study reveal that youths diagnosed with ADHD have a greater risk of developing depressive disorders. Long-term treatment with MPH correlated to the reduced probability of developing a depressive disorder among youths with ADHD.

Low self-recognition and awareness of past hypomanic and manic episodes in the general population

Background

Bipolar disorder is often underdiagnosed and undertreated. Its detection and correct diagnosis highly relies on the report of past hypomanic or manic episodes. We investigated the recognition and awareness of past hypomanic and manic episodes in a sample of respondents with bipolar disorder selected from a general population study.

Methods

In a reappraisal study from the Netherlands Mental Health Survey and Incidence Study (NEMESIS), we further investigated 40 respondents with lifetime bipolar disorder confirmed by the structured clinical interview for DSM-IV (SCID). Respondents were asked about awareness of past depressive, manic and hypomanic episodes, illness characteristics and treatment history.

Results

Most respondents (82.5 %) recognized that they had experienced a depressive episode while 75 % had consulted a health professional for a depressive episode. Only a minority (22.5 %) recognized that they had experienced a (hypo)manic episode and only 17.5 % had consulted a health professional for a (hypo)manic episode. Only 12.5 % of the respondents reported having received a diagnosis of bipolar disorder. Recognition of previous (hypo)manic episodes was not related to severity of bipolar disorder.

Conclusions

In routine clinical practice history-taking on a syndromal level, i.e., only inquiring whether a patient presenting with depression ever experienced a hypomanic or manic episode or received treatment for such an episode, is not sufficient to confirm or exclude a diagnosis of bipolar disorder. Other efforts, such as an interview with a significant other and the use of self report questionnaires or (semi-)structured interviews may be needed to recognize previous manic symptoms in patients with depression.