Clinical and demographic features of mood disorder subtypes

Predicting Conversion From Unipolar Depression to Bipolar Disorder and Schizophrenia: A 10-Year Retrospective Cohort Study on 12,182 Inpatients

Background: The initial stages of bipolar disorder (BD) and schizophrenia (SCZ) often exhibit depressive symptoms and syndromes, leading to potential misdiagnosis and treatment for unipolar depression (UD). However, no consensus exists on individualized and time-varying intervenable conversion predictors for both BD and SCZ. Methods: This study examined the rate of true conversion from UD to BD and SCZ, considering factors such as sex, family history of mental illness, psychotic features, recurrent depression, and treatment patterns. The objective was to develop predictive models for short-, medium-, and long-term risk stratification for BD/SCZ conversion. Data were extracted from electronic medical records (EMRs) between January 2009 and December 2020 in a large academic medical center-based health system in China. Participants included 12,182 depressive inpatients without previous or comorbid diagnoses of BD and SCZ. The outcome measure was a subsequent admission record with a diagnostic code reflective of BD or SCZ. Four machine-learning algorithms using sociodemographic, clinical, laboratory, vital signs, symptoms, and treatment features were applied to predict this outcome. Explainable methodologies, specifically SHapley Additive exPlanations (SHAP) and Break Down, were employed to analyze the contribution of each individual feature. Results: Among 12,182 individuals, 344 (2.82%) and 64 (0.53%) received a subsequent diagnosis of BD and SCZ, respectively. Higher risk factors for BD progression included being female, having severe depression, being prescribed mood stabilizers, β receptor blockers (e.g., metoprolol tartrate and propranolol hydrochloride), and antipsychotics (e.g., sulpiride and quetiapine). Higher risk factors for SCZ progression included being male, exhibiting psychotic symptoms, being prescribed antipsychotics (e.g., risperidone and sulpiride), antiside effects drugs (e.g., trihexyphenidyl and hemp seed pill), and undergoing psychotherapy. Individuals with a family history of mental illness were particularly susceptible to conversion to BD and SCZ. Conclusions: The model's performance on the test dataset declined over time, with area under the curve (AUC) values for predicting BD conversion decreasing from 0.771 in 1 year to 0.749 in 2 years and 0.733 in 7 years, and for SCZ conversion, from 0.866 in 1 year to 0.829 in 3 years and 0.752 in 7 years. A key finding is that individuals with refractory (particularly psychotic) UD had an elevated risk of transitioning to BD and SCZ, with social-demographic factors, lifestyle behaviors, vital signs, and blood markers becoming significant risk factors over follow-up. Upon further validation, these models could provide clinicians with dynamic information regarding a patient's risk of disease conversion.

A comparison of demographic profiles, clinical profile, course, and outcome of Bipolar I Disorder and Bipolar II Disorder: Findings from the Bipolar Disorder Course and Outcome study from India (BiD-CoIN study)

Background

There is lack of data on bipolar disorder (BD) type II from India.

Aim

To compare the demographic and clinical characteristics of patients with BD-I and BD-II using the data of the Bipolar Disorder Course and Outcome study from India (BiD-CoIN study).

Methodology

Using the data of the BiD-CoIN study, patients with BD-I and BD-II were compared for demographic and clinical variables.

Results

Out of the 773 patients, 59 (7.63%) participants had BD-II. Compared to BD-I, patients with BD-II had a higher income; were more often unemployed or housewives; had a higher mean number of episodes per year of illness, higher severity of depressive episodes, higher depressive affective morbidity, and a higher number of hypomanic episodes (in the lifetime, and number of episodes per year of illness); received lower doses of lithium and a lower number of medications; and had lower prevalence of alcohol dependence, higher prevalence of seasonality, a high proportion of them sought faith healing treatment, and a higher proportion of them have predominant depressive polarity.

Conclusions

Patients with BD-I and BD-II differ from each other on certain demographic and clinical variables. The difference in the clinical variables suggests that the patients with BD-II may require different treatment approaches for management.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSION

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

A systematic review and meta-analysis of delayed help-seeking, delayed diagnosis and duration of untreated illness in bipolar disorders

OBJECTIVES

To examine the time delay between the age at onset of symptoms or episodes of bipolar disorders (BD) and the age at diagnosis of and/or receipt of clinical practice guideline recommended interventions for BD.

METHODS

Systematic search of five databases to identify publications from January 2000 to July 2022 that reported one or more of the following reliable and valid estimates of latency: delay in help seeking (DHS), delay in diagnosis (DD) and duration of untreated BD (DUB). Eligible studies were included in random effects meta-analyses and multivariate meta-regression was used to assess factors associated with each latency construct.

RESULTS

Screening of 1074 publications identified 59 eligible studies (reported in 66 publications) of >40,000 individuals that estimated DHS (8 studies), DD (20 studies) and/or DUB (45 studies). The median DHS, DD and DUB were 3.5 (IQR: 2.8, 8.48), 6.7 (IQR: 5.6, 8.9) and 5.9 years (IQR: 1.1, 8.2), respectively. Key factors associated with shorter DD included older age and residing outside North America; shorter DUB was associated with psychotic or manic onset and access to early intervention services.

CONCLUSIONS

Greater consensus on definitions of latency constructs and better-quality targeted research is required regarding DHS, DD and DUB. This review suggests that, while the peak age at onset of BD is 15-25, diagnosis and guideline recommended interventions (e.g., mood stabilizers) are likely to be delayed until age 25-35 years except for a minority of individuals with access to early intervention services.

Psychotic symptoms in bipolar disorder and their impact on the illness: A systematic review

BACKGROUND

Lifetime psychotic symptoms are present in over half of the patients with bipolar disorder (BD) and can have an adverse effect on its course, outcome, and treatment. However, despite a considerable amount of research, the impact of psychotic symptoms on BD remains unclear, and there are very few systematic reviews on the subject.

AIM

To examine the extent of psychotic symptoms in BD and their impact on several aspects of the illness.

METHODS

The Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines were followed. An electronic literature search of six English-language databases and a manual search was undertaken to identify published articles on psychotic symptoms in BD from January 1940 to December 2021. Combinations of the relevant Medical Subject Headings terms were used to search for these studies. Articles were selected after a screening phase, followed by a review of the full texts of the articles. Assessment of the methodological quality of the studies and the risk of bias was conducted using standard tools.

RESULTS

This systematic review included 339 studies of patients with BD. Lifetime psychosis was found in more than a half to two-thirds of the patients, while current psychosis was found in a little less than half of them. Delusions were more common than hallucinations in all phases of BD. About a third of the patients reported first-rank symptoms or mood-incongruent psychotic symptoms, particularly during manic episodes. Psychotic symptoms were more frequent in bipolar type I compared to bipolar type II disorder and in mania or mixed episodes compared to bipolar depression. Although psychotic symptoms were not more severe in BD, the severity of the illness in psychotic BD was consistently greater. Psychosis was usually associated with poor insight and a higher frequency of agitation, anxiety, and hostility but not with psychiatric comorbidity. Psychosis was consistently linked with increased rates and the duration of hospitalizations, switching among patients with depression, and poorer outcomes with mood-incongruent symptoms. In contrast, psychosis was less likely to be accompanied by a rapid-cycling course, longer illness duration, and heightened suicidal risk. There was no significant impact of psychosis on the other parameters of course and outcome.

CONCLUSION

Though psychotic symptoms are very common in BD, they are not always associated with an adverse impact on BD and its course and outcome.

Symptom Profile and Clinical Course of Inpatients with Unipolar versus Bipolar Depression

BACKGROUND

Although differences in symptom profiles and outcome between depressive patients with an underlying major depressive disorder (MDD) and bipolar depression (BD) have been reported, studies with sequential short-interval assessments in a real-life inpatient setting are scarce.

OBJECTIVES

To examine potential differences in symptom profile and course of depressive symptomatology in depressive inpatients with underlying MDD and BD.

METHODS

A cohort of 276 consecutive inpatients with MDD (n = 224) or BD (n = 52) was followed during their hospitalization using routine outcome monitoring (ROM), which included a structured diagnostic interview at baseline (Mini-International Neuropsychiatric Interview Plus [MINI-Plus]) and repeated 17-item Hamilton Depression Rating Scale every 2 weeks. MDD and BD were compared regarding their symptom profiles and time to response and remission. Furthermore, the concordance between the MINI-Plus and clinical diagnosis was analyzed.

RESULTS

Patients were on average 52 and 47 years old in the MDD and BD group, respectively, and 66 versus 64% were female. Compared to patients with BD, patients with MDD scored higher on weight loss (p = 0.02), whereas the BD group showed a higher long-term likelihood of response (hazard ratio = 1.93, 95% confidence interval 1.16-3.20, p for interaction with time = 0.04). Although the same association was seen for remission, the interaction with time was not significant (p = 0.48). Efficiency between the MINI-Plus and clinical diagnosis of BD was high (0.90), suggesting that the MINI-Plus is an adequate ROM diagnostic tool.

CONCLUSIONS

In routine clinical inpatient care, minor differences in the symptom profile and the course of depressive symptomatology may be helpful in distinguishing MDD and BD, particularly when using sequential ROM assessments.

Bipolar disorder and personality disorder

Patients with bipolar disorders experience cyclical changes in mood that present as a range of different syndromes. In classical mania, patients experience episodes of euphoria, whereas in depressive episodes they suffer from depression. In hypomania, patients experience a milder form of mania, and in mixed mania, patients may experience both manic and depressive symptoms simultaneously, or alternate between them rapidly. Because of this wide range of symptoms, bipolar disorders can appear to overlap with other mental disorders, especially personality disorders.

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.

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

BACKGROUND

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

METHODS

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

RESULTS

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

LIMITATIONS

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

CONCLUSIONS

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

Sociodemographic characteristics of adult Saudi patients with mood disorder subtypes

Background:

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

Objective:

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

Methods:

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

Results:

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

Conclusion:

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

Are there clinical and neurophysiologic predictive factors for a positive response to HF-rTMS in patients with treatment-resistant depression?

Better selection of patients with treatment-resistant depression for high-frequency repetitive transcranial magnetic stimulation (HF-rTMS) would make the procedure more efficient. The objective of this study was to search for clinical and neurophysiologic predictors of therapeutic response with a special focus on the bipolar population. Forty patients (30 bipolar) underwent 20 daily sessions of HF-rTMS. Clinical outcome measures included the 21-item Hamilton Depression Rating Scale, the Beck Depression Inventory, the Clinical Global Impression, and the Patient Global Impression. Neurophysiologic measurements included repeated estimation of the motor threshold and cortical silent period. Improvement was obtained in all psychometric scales, with no difference between unipolar and bipolar patients. Longer duration of the illness, higher number of prior hospitalizations, and more disturbed activity were associated with a worse response to rTMS, and somatic anxiety, sleep disorders, and health worries were positive predictors. In bipolar patients, longer disease duration and therapy with mirtazapine, mianserin, trazodone, hydroxyzine, and promethazine were associated with a worse response. Sleep disturbances, higher baseline motor threshold, and longer cortical silent period predicted a better response. In this study, we found several clinical and neurophysiologic predictors of better/worse responses to the standard HF-rTMS protocol. Our preliminary data need to be reproduced.

Higher Impulsivity and HIV-Risk Taking Behaviour in Males with Alcohol Dependence Compared to Bipolar Mania: A Pilot Study

To study the association of impulsivity, high-risk behaviours and incidence of HIV infection in patients with alcohol dependence and bipolar mania. This was a cross-sectional hospital-based pilot study and the sample consisted of male patients divided into three groups: 25 patients with alcohol dependence and 25 with bipolar mania as per ICD-10 Diagnostic Criteria for Research and 25 normal controls. Severity of Alcohol Dependence Questionnaire (SADQ) and Young Mania Rating Scale (YMRS) were administered on alcohol dependent and bipolar patients, respectively. All three groups were rated on Barrett's Impulsivity Scale (BIS) and HIV Risk-taking Behaviour Scale (HRBS). None of the patients tested positive for either HIV 1 or 2. BIS motor impulsivity, BIS total score and HRBS total score were significantly higher in alcohol dependent patients as compared to bipolar mania patients. In the Alcohol dependent group, BIS score significantly correlated with education years, age of onset of alcohol use and SADQ, whereas, HRBS total score significantly correlated with SADQ scores. In the bipolar mania group, BIS significantly correlated with YMRS, and total number of episodes, whereas, there was no significant correlation of HRBS total score with any clinical variable. The findings of this pilot study underscore the link between alcohol use disorder and the impulsive behaviours that can lead to HIV infection, and highlight that those risks are higher for individuals with alcohol dependency than for individuals with bipolar disorder.

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

INTRODUCTION

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

METHOD

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

RESULTS

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

DISCUSSION

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

Meta-analysis of the Interval between the Onset and Management of Bipolar Disorder

OBJECTIVE

To evaluate the length of the interval between the onset and the initial management of bipolar disorder (BD).

METHOD

We conducted a meta-analysis using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Systematic searches located studies reporting estimates of the age of onset (AOO) and indicators of the age at initial management of BD. We calculated a pooled estimate of the interval between AOO and age at management. Factors influencing between-study heterogeneity were investigated using sensitivity analyses, meta-regression, and multiple meta-regression.

RESULTS

Twenty-seven studies, reporting 51 samples and a total of 9415 patients, met the inclusion criteria. The pooled estimate for the interval between the onset of BD and its management was 5.8 years (standardized difference, .53; 95% confidence interval, .45 to .62). There was very high between-sample heterogeneity ( I² = 92.6; Q = 672). A longer interval was found in studies that defined the onset according to the first episode (compared to onset of symptoms or illness) and defined management as age at diagnosis (rather than first treatment or first hospitalization). A longer interval was reported among more recently published studies, among studies that used a systematic method to establish the chronology of illness, among studies with a smaller proportion of bipolar I patients, and among studies with an earlier mean AOO.

CONCLUSIONS

There is currently little consistency in the way researchers report the AOO and initial management of BD. However, the large interval between onset and management of BD presents an opportunity for earlier intervention.

The International College of Neuropsychopharmacology (CINP) Treatment Guidelines for Bipolar Disorder in Adults (CINP-BD-2017), Part 1: Background and Methods of the Development of Guidelines

BACKGROUND

This paper includes a short description of the important clinical aspects of Bipolar Disorder with emphasis on issues that are important for the therapeutic considerations, including mixed and psychotic features, predominant polarity, and rapid cycling as well as comorbidity.

METHODS

The workgroup performed a review and critical analysis of the literature concerning grading methods and methods for the development of guidelines.

RESULTS

The workgroup arrived at a consensus to base the development of the guideline on randomized controlled trials and related meta-analyses alone in order to follow a strict evidence-based approach. A critical analysis of the existing methods for the grading of treatment options was followed by the development of a new grading method to arrive at efficacy and recommendation levels after the analysis of 32 distinct scenarios of available data for a given treatment option.

CONCLUSION

The current paper reports details on the design, method, and process for the development of CINP guidelines for the treatment of Bipolar Disorder. The rationale and the method with which all data and opinions are combined in order to produce an evidence-based operationalized but also user-friendly guideline and a specific algorithm are described in detail in this paper.

Diagnostic Conversion to Bipolar Disorder in Unipolar Depressed Patients Participating in Trials on Antidepressants

Objective

In unipolar depressed patients participating in trials on antidepressants, we investigated if illness characteristics at baseline could predict conversion to bipolar disorder.

Method

A long-term register-based follow-up study of 290 unipolar depressed patients with a mean age of 50.8 years (SD = 11.9) participating in three randomized trials on antidepressants conducted in the period 1985–1994. The independent effects of explanatory variables were examined by applying Cox regression analyses.

Results

The overall risk of conversion was 20.7%, with a mean follow-up time of 15.2 years per patient. The risk of conversion was associated with an increasing number of previous depressive episodes at baseline, [HR 1.18, 95% CI (1.10–1.26)]. No association with gender, age, age at first depressive episode, duration of baseline episode, subtype of depression or any of the investigated HAM-D subscales included was found.

Limitations

The patients were followed-up through the Danish Psychiatric Central Research Register, which resulted in inherent limitations such as possible misclassification of outcome.

Conclusion

In a sample of middle-aged hospitalized unipolar depressed patients participating in trials on antidepressants, the risk of conversion was associated with the number of previous depressive episodes. Therefore, this study emphasizes that unipolar depressed patients experiencing a relatively high number of recurrences should be followed more closely, or at least be informed about the possible increased risk of conversion.

Age at onset in patients with bipolar I and II disorder: a comparison of large sample studies

BACKGROUND

Bipolar Disorder (BD) is a leading cause of disability worldwide and factors contributing to its burden include chronic relapsing course, comorbidity, suicide risk, and early age at onset (AAO). In particular, recent investigation has shown that BD onset may occur earlier than previously believed, even though whether BDI and II are different in such regard is still debated. Reduced samples may, moreover, limit the confidence in the published studies, with geographic issues, in turn, representing potentially conditioning factors. The present review was aimed to select and analyze large sample studies comparing AAO in BDI vs II patients.

METHODS

A PubMed literature search was performed, considering English-written articles published up to December 2015, comparing AAO in BDI vs II patients with sample size≥100 subjects per group.

RESULTS

Seventeen studies were considered suitable for revision, with 8 studies reporting statistically significant differences and 9 not. Among studies reporting statistically significant differences, mostly conducted in Europe, 6 showed an earlier AAO in BDI, while 2 in BDII subjects.

LIMITATIONS

Only studies with large samples included, considering AAO as a continuous variable, and providing a comparison between the bipolar subtypes.

CONCLUSIONS

Our findings suggest that AAO per se does not seem to reliably differentiate BDI from BDII patients and that such variable should likely be investigated in the context of other clinical characteristics, in order to assess its overall influence over BD course. Geographic factors may, in turn, play a potential role with future investigation warranted to further explore this specific issue.

Different characteristics associated with suicide attempts among bipolar I versus bipolar II disorder patients

BACKGROUND

Suicide attempts are common in patients with bipolar disorder (BD), and consistently associated with female gender and certain unfavorable BD illness characteristics. Findings vary, however, regarding effects of BD illness subtype and yet other illness characteristics upon prior suicide attempt rates. We explored the effects of demographics and BD illness characteristics upon prior suicide attempt rates in patients stratified by BD illness subtype (i.e., with bipolar I disorder (BDI) versus bipolar II disorder (BDII)).

METHODS

Outpatients referred to the Stanford BD Clinic during 2000-2011 were assessed with the Systematic Treatment Enhancement Program for BD Affective Disorders Evaluation. Rates of prior suicide attempt were compared in patients with and without diverse demographic and BD illness characteristics stratified by BD subtype.

RESULTS

Among 494 BD outpatients (mean ± SD age 35.6 ± 13.1 years; 58.3% female; 48.6% BDI, 51.4% BDII), overall prior suicide attempt rates in were similar in BDI versus BDII patients, but approximately twice as high in BDI (but not BDII) patients with compared to without lifetime eating disorder, and in BDII (but not BDI) patients with compared to without childhood BD onset. In contrast, current threshold-level suicidal ideation and lifetime alcohol use disorder robustly but less asymmetrically increased prior suicide attempt risk across BD subtypes.

LIMITATIONS

American tertiary bipolar disorder clinic referral sample, cross-sectional design.

CONCLUSIONS

Further studies are needed to assess the extent to which varying clinical characteristics of samples of patients with BDI and BDII could yield varying prior suicide attempt rates in patients with BDI versus BDII.

Suicide attempts in bipolar disorders: comprehensive review of 101 reports

OBJECTIVE

Assess reported risk of suicide attempts by patients with bipolar disorder (BD).

METHOD

Systematic searching yielded 101 reports from 22 countries (79 937 subjects). We analyzed for risk (%) and incidence rates (%/year) of attempts, comparing sex and diagnostic types, including by meta-analysis.

RESULTS

Attempt risk averaged 31.1% [CI: 27.9-34.3] of subjects, or 4.24 [3.78-4.70]%/year. In BD-I (43 studies) and BD-II subjects (30 studies), risks (29.9%, 31.4%) and incidence rates (4.01, 4.11%/year) were similar and not different by meta-analysis. Among women vs. men, risks (33.7% vs. 25.5%) and incidence (4.50 vs. 3.21%/year) were greater (also supported by meta-analysis: RR = 1.35 [CI: 1.25-1.45], P < 0.0001). Neither measure was related to reporting year, % women/study, or to onset or current age. Risks were greater with longer exposure, whereas incidence rates decreased with longer time at risk, possibly through 'dilution' by longer exposure.

CONCLUSION

This systematic update of international experience underscores high risks of suicide attempts among patients with BD (BD-I = BD-II; women > men). Future studies should routinely include exposure times and incidence rates by diagnostic type and sex for those who attempt suicide or not.

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

BACKGROUND

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

METHOD

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

RESULTS

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

CONCLUSIONS

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

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSION

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

Natural speech comprehension in bipolar disorders: an event-related brain potential study among manic patients

BACKGROUND

Thought and language disturbances are crucial clinical features in Bipolar Disorders (BD), and constitute a fundamental basis for social cognition. In BD, clinical manifestations such as disorganization and formal thought disorders may play a role in communication disturbances. However, only few studies have explored language disturbances in BD at a neurophysiological level. Two main Event-Related brain Potentials (ERPs) have been used in language comprehension research: the N400 component, elicited by incongruous word with the preceding semantic context, and the Late Positive Component (LPC), associated with non-specifically semantic and more general cognitive processes. Previous studies provided contradictory results regarding N400 in mood disorders, showing either preserved N400 in depression or dysthymia, or altered N400 in BD during semantic priming paradigm. The aim of our study was to explore N400 and LPC among patients with BD in natural speech conditions.

METHODS

ERPs from 19 bipolar type I patients with manic or hypomanic symptomatology and 19 healthy controls were recorded. Participants were asked to listen to congruous and incongruous complete sentences and to judge the match between the final word and the sentence context. Behavioral results and ERPs data were analyzed.

RESULTS

At the behavioral level, patients with BD show worst performances than healthy participants. At the electrophysiological level, our results show preserved N400 component in BD. LPC elicited under natural speech conditions shows preserved amplitude but delayed latency in difference waves.

LIMITATIONS

Small size of samples, absence of schizophrenic group and medication status.

CONCLUSIONS

In contrast with the only previous N400 study in BD that uses written semantic priming, our results show a preserved N400 component in ecological and natural speech conditions among patients with BD. Possible implications in terms of clinical specificity are discussed.

Differential change in specific depressive symptoms during antidepressant medication or cognitive therapy

Cognitive therapy and antidepressant medications are effective treatments for depression, but little is known about their relative efficacy in reducing individual depressive symptoms. Using data from a recent clinical trial comparing cognitive therapy, antidepressant medication, and placebo in the treatment of moderate-to-severe depression, we examined whether there was a relative advantage of any treatment in reducing the severity of specific depressive symptom clusters. The sample consisted of 231 depressed outpatients randomly assigned to: cognitive therapy for 16 weeks (n = 58); paroxetine treatment for 16 weeks (n = 116); or pill placebo for 8 weeks (n = 57). Differential change in five subsets of depressive symptoms was examined: mood, cognitive/suicide, anxiety, typical-vegetative, and atypical-vegetative symptoms. Medication led to a greater reduction in cognitive/suicide symptoms relative to placebo by 4 weeks, and both active treatments reduced these symptoms more than did placebo by 8 weeks. Cognitive therapy reduced the atypical-vegetative symptoms more than placebo by 8 weeks and more than medications throughout the trial. These findings suggest that medications and cognitive therapy led to different patterns of response to specific symptoms of depression and that the general efficacy of these two well-validated treatments may be driven in large part by changes in cognitive or atypical-vegetative symptoms.

Serum concentrations of CRP, IL-6, TNF-α and cortisol in major depressive disorder with melancholic or atypical features

The aim of the present study was to explore possible differences between serum C-reactive protein (CRP), interleukin-6 (IL-6), tumor necrosis factor alpha (TNF-α), and cortisol concentration in patients with major depressive disorder (MDD) with melancholic features, and MDD with atypical features. As secondary aim, we investigated possible associations with clinical features such as suicidal ideation, number of episodes, duration of depression and symptomatology severity. We included 55 MDD patients (32 with melancholic features and 23 with atypical features) and 18 healthy controls. When compared to healthy controls, MDD with melancholic or atypical features showed higher CRP and IL-6, but not TNF-α. Cortisol concentration was higher in MDD with melancholic type, in comparison to the atypical type of MDD or controls. A positive correlation was found between the severity of depressive symptoms, concentrations of IL-6 and cortisol in the MDD group with melancholic features, while a negative correlation was observed between IL-6 and CRP in the MDD group with atypical feature. Also, in the MDD group with atypical features, there was a correlation between the severity of anxiety symptoms based on the Hamilton Rating Scale for Anxiety (HARS), concentration of CRP, and the duration of symptoms. In conclusion, we observed several differences in serum CRP, IL-6, and cortisol concentrations in MDD patients considering clinical features as well.

Risks for the transition from major depressive disorder to bipolar disorder in the National Epidemiologic Survey on Alcohol and Related Conditions

OBJECTIVE

It is currently not possible to determine which individuals with unipolar depression are at highest risk for a manic episode. This study investigates clinical and psychosocial risk factors for mania among individuals with major depressive disorder (MDD), indicating diagnostic conversion from MDD to bipolar I disorder.

METHOD

We fitted logistic regression models to predict the first onset of a manic episode among 6,214 cases of lifetime MDD according to DSM-IV criteria in the National Epidemiologic Survey on Alcohol and Related Conditions. Participants in this survey were interviewed twice over a period of 3 years, in 2000-2001 and in 2004-2005, and survey data were gathered using the Alcohol Use Disorder and Associated Disabilities Interview Schedule-IV.

RESULTS

Approximately 1 in 25 individuals with MDD transitioned to bipolar disorder during the study's 3-year follow-up period. Demographic risk factors for the transition from MDD to bipolar disorder included younger age, black race/ethnicity, and less than high school education. Clinical characteristics of depression (eg, age at first onset, presence of atypical features) were not associated with diagnostic conversion. However, prior psychopathology was associated with the transition to bipolar disorder: history of social phobia (odds ratio [OR] = 2.20; 95% confidence interval [CI], 1.47-3.30) and generalized anxiety disorder (OR = 1.58; 95% CI, 1.06-2.35). Lastly, we identified environmental stressors over the life course that predicted the transition to bipolar disorder: these include a history of child abuse (OR = 1.26; 95% CI, 1.12-1.42) and past-year problems with one's social support group (OR = 1.79; 95% CI, 1.19-2.68). The overall predictive power of these risk factors based on a receiver operating curve analysis is modest.

CONCLUSIONS

A wide range of demographic, clinical, and environmental risk factors were identified that indicate a heightened risk for the transition to bipolar disorder. Additional work is needed to further enhance the prediction of bipolar disorder among cases of MDD and to determine whether interventions targeting these factors could reduce the risk of bipolar disorder.

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

OBJECTIVES

To compare the clinical features and course of major depressive episodes (MDEs) occurring in subjects with bipolar I disorder (BD-I), bipolar II disorder (BD-II), and major depressive disorder (MDD).

METHODS

Data were drawn from the National Epidemiologic Survey on Alcohol and Related Conditions (2001-2002), a nationally representative face-to-face survey of more than 43000 adults in the USA, including 5695 subjects with lifetime MDD, 935 with BD-I and lifetime MDE, and 494 with BD-II and lifetime MDE. Differences on sociodemographic characteristics and clinical features, course, and treatment patterns of MDE were analyzed.

RESULTS

Most depressive symptoms, family psychiatric history, anxiety disorders, alcohol and drug use disorders, and personality disorders were more frequent-and number of depressive symptoms per MDE was higher-among subjects with BD-I, followed by BD-II, and MDD. BD-I individuals experienced a higher number of lifetime MDEs, had a poorer quality of life, and received significantly more treatment for MDE than BD-II and MDD subjects. Individuals with BD-I and BD-II experienced their first mood episode about ten years earlier than those with MDD (21.2, 20.5, and 30.4 years, respectively).

CONCLUSIONS

Our results support the existence of a spectrum of severity of MDE, with highest severity for BD-I, followed by BD-II and MDD, suggesting the utility of dimensional assessments in current categorical classifications.

Differentiating between Bipolar Disorder types I and II: results from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC)

OBJECTIVE

Bipolar Disorder I (BD I) and Bipolar Disorder II (BD II) vary considerably, with differences in symptomatology, management and prognosis. For patients with depression, the distinction between BD I and BD II is not always apparent, and hinges on the differentiation between manic/mixed and hypomanic episodes. Other putative differences between patients with BD I and II exist and may assist in distinguishing between these two conditions.

METHODS

Data were obtained from the National Epidemiological Survey on Alcohol and Related Conditions. A total of 1429 subjects were included in our analysis based on DSM-IV criteria, 935 with BD I and 494 with BD II. We examined for differences in a number of variables including demographics, clinical features, depressive symptoms, and co-morbid conditions using t-tests and chi-square analyses for a comparison of means as well as a logistic regression for variables found to be significant.

RESULTS

Key differences between BD I and BD II were identified in all categories in our comparison of means. In the regression analysis, a number of variables were determined to be predictors of BD I, including unemployment (OR=0.6), taking medications for depression (OR=1.7), a history of a suicide attempt (OR=1.8), depressive symptoms such as weight gain (OR=1.7), fidgeting (OR=1.5), feelings of worthlessness (OR=1.6) and difficulties with responsibilities (OR=2.2), as well as the presence of specific phobias (OR=1.8) and Cluster C traits (OR=1.4).

CONCLUSIONS

Our results indicate that in addition to the differences between manic/mixed and hypomanic episodes, other significant differences exist that may be used to help differentiate BD I from BD II.

Depression across mood disorders: review and analysis in a clinical sample

OBJECTIVES

In this article we aimed to: (1) review literature concerning the clinical and psychopathologic characteristics of Bipolar (BP) depression; (2) analyze an independent sample of depressed patients to identify any demographic and/or clinical feature that may help in differentiating mood disorder subtypes, with special attention to potential markers of bipolarity.

METHODS

A sample of 291 depressed subjects, including BP -I (n = 104), BP -II (n = 64), and unipolar (UP) subjects with (n = 53) and without (n = 70) BP family history (BPFH), was examined to evidence potential differences in clinical presentation and to validate literature-derived markers of bipolarity. Demographic and clinical variables and, also, single items from the Hamilton Depression Rating Scale (HDRS), the Montgomery-Asberg Depression Rating Scale (MADRS), and the Young Mania Rating Scale (YMRS) were compared among groups.

RESULTS

UP subjects had an older age at onset of mood symptoms. A higher number of major depressive episodes and a higher incidence of lifetime psychotic features were found in BP subjects. Items expressing depressed mood, depressive anhedonia, pessimistic thoughts, and neurovegetative symptoms of depression scored higher in UP, whereas depersonalization and paranoid symptoms' scores were higher in BP. When compared with UP, BP I had a significantly higher incidence of intradepressive hypomanic symptoms. Bipolar family history was found to be the strongest predictor of bipolarity in depression.

CONCLUSIONS

Overall, our findings confirm most of the classical signs of bipolarity in depression and support the view that some features, such as BPFH, together with some specific symptoms may help in detecting depressed subjects at higher risk for BP disorder.

Treatment-induced manic switch in the course of unipolar depression can predict bipolarity: cluster analysis based evidence

BACKGROUND

Antidepressants are known to induce manic switch in patients with depression. Treatment-induced mania is not considered as bipolar disorder in DSM IV. The aim of this study was to assess whether clinical characteristics of patients with unipolar depression with a history of treatment-induced mania were similar to those of patients with bipolar disorder.

METHOD

The study included 217 consecutive patients with DSM-IV mood disorders, diagnosed as: bipolar disorder type I (BP-I, n = 58) or type II (BP-II, n = 18) whose first episodes were depression, recurrent (unipolar) major depressive disorder with a history of antidepressant treatment-induced mania (switchers = sUD; n = 61) and without such an event (rUD; n = 80). First, the groups were compared with regard to clinical features and course specifiers using variance and chi-square analysis. Variables that differed significantly between the four groups were included in two-step cluster analysis to explore naturally occurring subgroups in all diagnoses. Subsequently, the relationship between the naturally occurring clusters and pre-defined DSM-IV diagnoses were investigated.

RESULTS

Two-step cluster analysis revealed two different naturally occurring groups. Higher severity of depressive episodes, with higher rate of melancholic features, higher number of hospitalization and suicide attempts were represented in one cluster where switchers (77%), bipolar I (94.8%) and II (83.3%) patients clustered together.

CONCLUSION

The findings of this study confirm that treatment-induced mania is a clinical phenomenon that belongs within the bipolar spectrum rather than a coincidental treatment complication, and that it should be placed under "bipolar disorders" in future classification systems.

LIMITATIONS

The study includes the limitations of any naturalistic retrospective study.

Differences in demographic composition and in work, social, and functional limitations among the populations with unipolar depression and bipolar disorder: results from a nationally representative sample

Background

Existing literature on mood disorders suggests that the demographic distribution of bipolar disorder may differ from that of unipolar depression, and also that bipolar disorder may be especially disruptive to personal functioning. Yet, few studies have directly compared the populations with unipolar depressive and bipolar disorders, whether in terms of demographic characteristics or personal limitations. Furthermore, studies have generally examined work-related costs, without fully investigating the extensive personal limitations associated with diagnoses of specific mood disorders. The purpose of the present study is to compare, at a national level, the demographic characteristics, work productivity, and personal limitations among individuals diagnosed with bipolar disorder versus those diagnosed with unipolar depressive disorders and no mood disorder.

Methods

The Medical Expenditure Panel Survey 2004-2006, a nationally representative survey of the civilian, non-institutionalized U.S. population, was used to identify individuals diagnosed with bipolar disorder and unipolar depressive disorders based on ICD-9 classifications. Outcomes of interest were indirect costs, including work productivity and personal limitations.

Results

Compared to those with depression and no mood disorder, higher proportions of the population with bipolar disorder were poor, living alone, and not married. Also, the bipolar disorder population had higher rates of unemployment and social, cognitive, work, and household limitations than the depressed population. In multivariate models, patients with bipolar disorder or depression were more likely to be unemployed, miss work, and have social, cognitive, physical, and household limitations than those with no mood disorder. Notably, findings indicated particularly high costs for bipolar disorder, even beyond depression, with especially large differences in odds ratios for non-employment (4.6 for bipolar disorder versus 1.9 for depression, with differences varying by gender), social limitations (5.17 versus 2.85), cognitive limitations (10.78 versus 3.97), and work limitations (6.71 versus 3.19).

Conclusion

The bipolar disorder population is distinctly more vulnerable than the population with depressive disorder, with evidence of fewer personal resources, lower work productivity, and greater personal limitations. More systematic analysis of the availability and quality of care for patients with bipolar disorder is encouraged to identify effectively tailored treatment interventions and maximize cost containment.

Comparison of depressive episodes in bipolar disorder and in major depressive disorder within bipolar disorder pedigrees

BACKGROUND

Although genetic epidemiological studies have confirmed increased rates of major depressive disorder among the relatives of people with bipolar affective disorder, no report has compared the clinical characteristics of depression between these two groups.

AIMS

To compare clinical features of depressive episodes across participants with major depressive disorder and bipolar disorder from within bipolar disorder pedigrees, and assess the utility of a recently proposed probabilistic approach to distinguishing bipolar from unipolar depression. A secondary aim was to identify subgroups within the relatives with major depression potentially indicative of 'genetic' and 'sporadic' subgroups.

METHOD

Patients with bipolar disorder types 1 and 2 (n = 246) and patients with major depressive disorder from bipolar pedigrees (n = 120) were assessed using the Diagnostic Interview for Genetic Studies. Logistic regression was used to identify distinguishing clinical features and assess the utility of the probabilistic approach. Hierarchical cluster analysis was used to identify subgroups within the major depressive disorder sample.

RESULTS

Bipolar depression was characterised by significantly higher rates of psychomotor retardation, difficulty thinking, early morning awakening, morning worsening and psychotic features. Depending on the threshold employed, the probabilistic approach yielded a positive predictive value ranging from 74% to 82%. Two clusters within the major depressive disorder sample were found, one of which demonstrated features characteristic of bipolar depression, suggesting a possible 'genetic' subgroup.

CONCLUSIONS

A number of previously identified clinical differences between unipolar and bipolar depression were confirmed among participants from within bipolar disorder pedigrees. Preliminary validation of the probabilistic approach in differentiating between unipolar and bipolar depression is consistent with dimensional distinctions between the two disorders and offers clinical utility in identifying patients who may warrant further assessment for bipolarity. The major depressive disorder clusters potentially reflect genetic and sporadic subgroups which, if replicated independently, might enable an improved phenotypic definition of underlying bipolarity in genetic analyses.

A population-based analysis of distinguishers of bipolar disorder from major depressive disorder

BACKGROUND

Many people with bipolar disorder (BD) in the community are misdiagnosed with major depressive disorder (MDD). A probabilistic model has been proposed to assist in the identification of BD among patients with depressive symptoms, however there are limited population-based data on the key distinguishers of BD from MDD. The objective of this study was to identify distinguishers of BD from MDD in a population-based sample.

METHODS

Population-based data were extracted from the Canadian Community Health Survey: Mental Health and Well-Being. Sociodemographic variables, clinical variables, and depressive symptomatology were compared between subjects with BD (N=467) and MDD (N=4145). Logistic regression analysis was used to identify significant correlates of BD, and areas under the receiver operating characteristic curves (AUCs) were determined for each model.

RESULTS

BD and MDD subjects differed across a number of characteristics. Clinical variables significantly associated with BD included greater number of lifetime depressive episodes, earlier age of first depressive episode, lifetime anxiety disorder, problematic substance use, and lifetime suicide attempt. Symptoms significantly more common during a major depressive episode among BD subjects included agitation, suicidal ideation, anxious symptoms, and irritability. AUCs for these models ranged from 0.72 to 0.81.

LIMITATIONS

Data were not available for all potential distinguishers; subgroups of BD could not be determined; cross-sectional data.

CONCLUSIONS

These population-based results reinforce the effort to establish a generalizable probabilistic model that incorporates clinical and symptom variables in order to assist clinicians in the diagnostic assessment of BD.

Phenotypic effects of a bipolar liability gene among individuals with major depressive disorder

Variations in voltage-dependent calcium channel L-type, alpha 1C subunit (CACNA1C) gene have been associated with bipolar disorder in a recent meta-analysis of genome-wide association studies [Ferreira et al., 2008]. The impact of these variations on other psychiatric disorders has not been yet investigated. Caucasian non-Hispanic participants in the STAR*D study of treatment for depression for whom DNA was available (N = 1213) were genotyped at two single-nucleotide polymorphisms (SNPs) (rs10848635 and rs1006737) in the CACNA1C gene. We examined putative phenotypic indicators of bipolarity among patients with major depression and elements of longitudinal course suggestive of latent bipolarity. We also considered remission and depression severity following citalopram treatment. The rs10848635 risk allele was significantly associated with lower levels of baseline agitation (P = 0.03; beta = -0.09). The rs1006737 risk allele was significantly associated with lesser baseline depression severity (P = 0.04; beta = -0.4) and decreased likelihood of insomnia (P = 0.047; beta = -0.22). Both markers were associated with an increased risk of citalopram-emergent suicidality (rs10848635: OR = 1.29, P = 0.04; rs1006737: OR = 1.34, P = 0.02). In this exploratory analysis, treatment-emergent suicidality was associated with two risk alleles in a putative bipolar liability gene.

Correlates of historical suicide attempt in rapid-cycling bipolar disorder: a cross-sectional assessment

OBJECTIVE

A rapid-cycling course in bipolar disorder has previously been identified as a risk factor for attempted suicide. This study investigated factors associated with suicide attempts in patients with rapid-cycling bipolar I or II disorder.

METHOD

Cross-sectional data at the initial assessment of patients who were enrolled into 4 clinical trials were used to study the factors associated with suicide attempt. An extensive clinical interview and the Mini-International Neuropsychiatric Interview were used to ascertain DSM-IV diagnoses of rapid-cycling bipolar disorder, substance use disorders, anxiety disorders, psychosis, and other clinical variables. Chi-square, t test, and logistic regression or Poisson regression were used to analyze the data where appropriate, with odds ratios (ORs) for relative risk estimate. The data were collected from September 1995 to June 2005.

RESULTS

In a univariate analysis, 41% of 561 patients had at least 1 lifetime suicide attempt. Earlier age of depression onset, bipolar I subtype, female sex, unmarried status, and a history of drug use disorder, panic disorder, sexual abuse, and psychosis were associated with significantly higher rates of attempted suicide (all p < .05). After considering 31 potential confounding factors in the stepwise logistic regression model (n = 387), any Axis I comorbidity (OR = 2.68, p = .0219), female sex (OR = 2.11, p = .0005), psychosis during depression (OR = 1.84, p = .0167), bipolar I subtype (OR = 1.83, p = .0074), and history of drug abuse (OR = 1.62, p = .0317) were independent predictors for increased risk of attempted suicide. However, white race was associated with a lower risk for suicide attempt (OR = 0.47, p = .0160). Psychosis during depression (p = .0003), bipolar I subtype (p = .0302), and physical abuse (p = .0195) were associated with increased numbers of suicide attempts by 248%, 166%, and 162%, respectively; white race was associated with a 60% decrease in the number of suicide attempts (p = .0320).

CONCLUSION

In this highly comorbid group of patients with rapid-cycling bipolar disorder, 41% had at least 1 suicide attempt. Among the demographics, female sex was positively associated, but white race was negatively associated, with the risk for suicide attempt. Independent clinical variables for increased risk and/or number of attempted suicides were any Axis I comorbidity, psychosis during depression, bipolar I subtype, a history of drug abuse, and physical abuse.

Do risk factors for suicidal behavior differ by affective disorder polarity?

BACKGROUND

Suicide is a leading cause of death and has been strongly associated with affective disorders. The influence of affective disorder polarity on subsequent suicide attempts or completions and any differential effect of suicide risk factors by polarity were assessed in a prospective cohort.

METHOD

Participants with major affective disorders in the National Institute of Mental Health (NIMH) Collaborative Depression Study (CDS) were followed prospectively for up to 25 years. A total of 909 participants meeting prospective diagnostic criteria for major depressive and bipolar disorders were followed through 4204 mood cycles. Suicidal behavior was defined as suicide attempts or completions. Mixed-effects, grouped-time survival analysis assessed risk of suicidal behavior and differential effects of risk factors for suicidal behavior by polarity. In addition to polarity, the main effects of age, gender, hopelessness, married status, prior suicide attempts and active substance abuse were modeled, with mood cycle as the unit of analysis.

RESULTS

After controlling for age of onset, there were no differences in prior suicide attempts by polarity although bipolar participants had more prior severe attempts. During follow-up, 40 cycles ended in suicide and 384 cycles contained at least one suicide attempt. Age, hopelessness and active substance abuse but not polarity predicted suicidal behavior. The effects of risk factors did not differ by polarity.

CONCLUSIONS

Bipolarity does not independently influence risk of suicidal behavior or alter the influence of well-established suicide risk factors within affective disorders. Suicide risk assessment strategies may continue to appraise these common risk factors without regard to mood polarity.

Substance use disorders and suicide attempts in bipolar subtypes

Bipolar disorder (BD) is associated with high rates of suicide attempt and completion. Substance use disorders (SUD) have been identified as potent risk factors for suicidal behavior in BD. However, little is known concerning differences between BD subtypes with regard to SUD as a risk factor for suicidal behavior. We studied previous suicidal behavior in adults with a major depressive episode in context of BD type I (BD-I; N=96) or BD type II (BD-II; N=42), with and without history of SUD. Logistic regressions assessed the association between SUD and suicide attempt history by BD type, and exploratory analyses examined the effects of other clinical characteristics on these relationships. SUD were associated with suicide attempt in BD-I but not BD-II, an effect not attributable to sample size differences. The higher suicide attempt rate associated with alcoholism in BD-I was mostly explained by higher aggression scores, and earlier age of BD onset increased the likelihood that alcohol use disorder would be associated with suicide attempt(s). The higher suicide attempt rate associated with other drug use disorders in BD-I was collectively explained by higher impulsivity, hostility, and aggression scores. The presence of both alcohol and drug use disorders increased odds of a history of suicide attempt in a multiplicative fashion: 97% of BD-I who had both co-morbid drug and alcohol use disorders had made a suicide attempt. A critical next question is how to target SUD and aggressive traits for prevention of suicidal behavior in BD-I.

Comparisons of insight in schizophrenia, bipolar I disorder, and depressive disorders with and without comorbid alcohol use disorder

AIMS

To compare the level of insight among six groups of patients with psychiatric disorders, including those with schizophrenia (SZ), bipolar I disorder (BP), or depressive disorders (DD) who had or did not have comorbid alcohol use disorder (AUD).

METHODS

A total of 285 outpatients meeting the aforementioned criteria were recruited into the study. The Schedule of Assessment of Insight-Expanded version (SAI-E) was used to measure subjects' insight. Analysis of covariance (ancova) was used to compare the levels of insight among the six groups of subjects.

RESULTS

Regardless of whether patients had comorbid AUD or not, patients with DD had higher levels of insight than did patients with SZ. Comorbid AUD had independent effects on the differences in the level of insight between patients with DD and BP and between patients with BP and SZ. No statistically significant difference in insight was found between patients with the same psychiatric diagnosis with and without comorbid AUD.

CONCLUSIONS

In addition to psychotic features and clinical states, comorbid AUD should be taken into consideration when comparing the level of insight among patients with different psychiatric diagnoses.

Diagnostic guidelines for bipolar depression: a probabilistic approach

OBJECTIVES

There are currently no accepted diagnostic criteria for bipolar depression for either research or clinical purposes. This paper aimed to develop recommendations for diagnostic criteria for bipolar I depression.

METHODS

Studies on the clinical characteristics of bipolar and unipolar depression were reviewed. To identify relevant papers, literature searches using PubMed and Medline were undertaken.

RESULTS

There are no pathognomonic characteristics of bipolar I depression compared to unipolar depressive disorder. There are, however, replicated findings of clinical characteristics that are more common in both bipolar I depression and unipolar depressive disorder, respectively, or which are observed in unipolar-depressed patients who 'convert' (i.e., who later develop hypo/manic symptoms) to bipolar disorder over time. The following features are more common in bipolar I depression (or in unipolar 'converters' to bipolar disorder): 'atypical' depressive features such as hypersomnia, hyperphagia, and leaden paralysis; psychomotor retardation; psychotic features, and/or pathological guilt; and lability of mood. Furthermore, bipolar-depressed patients are more likely to have an earlier age of onset of their first depressive episode, to have more prior episodes of depression, to have shorter depressive episodes, and to have a family history of bipolar disorder. The following features are more common in unipolar depressive disorder: initial insomnia/reduced sleep; appetite, and/or weight loss; normal or increased activity levels; somatic complaints; later age of onset of first depressive episode; prolonged episodes; and no family history of bipolar disorder.

CONCLUSIONS

Rather than proposing a categorical diagnostic distinction between bipolar depression and major depressive disorder, we would recommend a 'probabilistic' (or likelihood) approach. While there is no 'point of rarity' between the two presentations, there is, rather, a differential likelihood of experiencing the above symptoms and signs of depression. A table outlining draft proposed operationalized criteria for such an approach is provided. The specific details of such a probabilistic approach need to be further explored. For example, to be useful, any diagnostic innovation should inform treatment choices.

Bipolar disorder: how far are we from a rigorous definition and effective management?

Bipolar disorder is a pathological disturbance of mood, characterized by waxing and waning manic, depressive and, sometimes distinctly mixed states. A diagnosis of bipolar disorder can only be made with certainty when the manic syndrome declares itself. Most individuals who are diagnosed with this disorder will experience both poles of the illness recurrently, but depressive episodes are the commonest cause of morbidity and, indeed, of death by suicide. Twin, adoption and epidemiological studies suggest a strongly genetic aetiology. It is a genetically and phenotypically complex disorder. Thus, the genes contributing are likely to be numerous and of small effect. Individuals with bipolar disorder also display deficits on a range of neuropsychological tasks in both the acute and euthymic phases of illness and correlations between number of affective episodes experienced and task performance are commonly reported. Current self-report and observer-rated scales are optimized for unipolar depression and hence limited in their ability to accurately assess bipolar depression. The development of a specific depression rating scale will improve the assessment of bipolar depression in both research and clinical settings. It will improve the development of better treatments and interventions. Guidelines support the use of antidepressants for bipolar depression. With regard to the adverse effects of antidepressants for bipolar depression, double-blind, placebo-controlled data suggest that antidepressant monotherapy or the addition of a tricyclic antidepressant may worsen the course of bipolar disorder. Importantly, adjunctive psychotherapies add significantly (both statistically and clinically) to the efficacy of pharmacological treatment regimens. The successful management of bipolar disorder clearly demands improved recognition of bipolar disorder and effective long-term treatment for bipolar depression as well as mania.

Is there a continuity between bipolar and depressive disorders?

BACKGROUND

Recent studies questioned the current categorical split of mood disorders into bipolar disorders (BP) and depressive disorders (MDD).

METHODS

Medline database search of papers from the last 10 years on the categorical-dimensional classification of mood disorders. Various combinations of the following key words were used: mood disorders, bipolar, unipolar, major depressive disorder, spectrum, category/categorical, classification, continuity. Only English language clinical papers were included, review papers were excluded, similar papers selected by quality. The number of papers found was 1,141. The number of papers selected was 109.

RESULTS

The continuity/spectrum between BP (mainly BP-II) and MDD was supported by the following findings:(1) high frequency of mixed states (mixed mania, mixed hypomania, mixed depression, i.e. co-occurring depression and noneuphoric manic/hypomanic symptoms) because opposite polarity symptoms in the same episode do not support a hypomania/mania-depression splitting; (2) MDD was the most common mood disorder in BP probands' relatives; (3) no bimodal distribution of distinguishing symptoms between BP and MDD; (4) bipolar signs not uncommon in MDD; (5) many MDD shifting to BP; (6) many lifetime manic/hypomanic symptoms in MDD; (7) correlation between lifetime manic/hypomanic symptoms and MDD symptoms; (8) hypomania factors in MDD; (9) MDD often recurrent; (10) similar cognitive style. The categorical distinction between BP (mainly BP-I) and MDD was supported by the following findings: (1) BP more common in BP probands' relatives; (2) lower age at BP onset; (3) females as common as males in BP-I, more common than males in MDD; (4) BP-I depression more atypical and retarded, MDD depression more sleepless and agitated; (5) BP more recurrent.

CONCLUSIONS

Focusing on mood spectrum's extremes (BP-I vs. MDD), a categorical distinction seems supported. Focusing on midway disorders (BP-II and MDD plus bipolar signs), a continuity/spectrum seems supported. Results seem to support both a categorical and a dimensional view of mood disorders.

Temperament and character in mood disorders: influence of DRD4, SERTPR, TPH and MAO-A polymorphisms

Gene variants exert a complex range of effects on human normal and abnormal behavior. We previously reported the effect of gene variants in serotoninergic and dopaminergic pathways, in a range of clinical features in mood disorders, such as symptomathology, periodicity, social adjustment and treatment response. In this paper we hypothesized that the same gene variants could influence temperamental traits in mood disorders patients. We focused on genes of the serotoninergic and dopaminergic systems (dopamine receptor D4 gene, DRD4; serotonin transporter gene, promoter region SERTPR; tryptophan hydroxylase gene, TPH; monoamine oxidase A gene, MAO-A). Two hundred and seven euthymic subjects, affected by major depressive disorder (n=73) and bipolar disorder (n=134) were assessed by the Cloninger's Temperament and Character Inventory (TCI) and typed using PCR-based analyses. Possible stratification factors such as demographic, clinical and other temperamental factors were also taken into account. We observed that homozygosity for the short SERTPR allele was associated with low novelty-seeking scores (p=0.006) and genotypes containing the DRD4 long allele were marginally associated with low harm avoidance (p=0.05). Finally, the long MAO-A allele was associated with decreased persistence scores among females (p=0.006). Our observation of a pattern of influence on temperamental dimension exerted by serotonergic and dopaminergic genes suggests that the contribution of these polymorphisms to the clinical presentation of mood disorders could be mediated by an influence on personality differences.

Schizotypal dimensions: continuity between schizophrenia and bipolar disorders

BACKGROUND

Family studies have suggested that schizophrenia and bipolar disorders share some susceptibility factors. Schizotypal personality disorder (SPD) may be an intermediate phenotype common both to schizophrenia and bipolar disorders. We explored the familiality of schizotypal dimensions by comparing the magnitude of schizotypal dimensions between schizophrenic and bipolar relatives. We also looked for intra-familial resemblance for these dimensions, and for an increased familial risk of schizophrenia and/or bipolar disorders associated with a particular schizotypal dimension.

METHODS

We used the Schizotypal Personality Questionnaire (SPQ) to study the three schizotypal dimensions (disorganization, negative and positive) in a sample of unaffected first-degree relatives of schizophrenic (N=85), psychotic bipolar (N=63) and bipolar (N=32) probands. Differences between groups were tested using a two-tailed t-test or ANOVA for continuous variables and a chi-squared test for discrete variables. We used the intraclass correlation method to study the intra-familial correlation. Linear mixed models were used to measure the familial risk.

RESULTS

The disorganization dimension appears to be common to relatives of both schizophrenia and psychotic bipolar disorders, but not in the relatives of non-psychotic bipolar probands. This dimension also increases the familial risk of these two disorders. The negative dimension shows intra-familial resemblance (R=0.29), we failed to observe the expected familiality for the disorganized dimension.

CONCLUSIONS

The shared nature of the disorganization dimension shown by a similar familial risk for schizophrenia and psychotic bipolar disorders suggests that same genetic background may underlie psychotic disorders. Although, negative dimension is familial, it is not associated for an increased familial risk for both disorders.

Should bipolar disorder be viewed as manic disorder? Implications for bipolar depression

This paper proposes that the syndrome of mania rather than mood swings is the central distinguishing feature of bipolar disorder, which may be more appropriately viewed as manic disorder. The theoretical consequence of this change in perspective is to regard the depressive mood states as being a co-morbid condition. This may lead to a more profound and broader understanding of the variety of states of depression that complicate manic disorder. The paper also reviews diagnostic issues relating to bipolar depression. A broader approach may extend therapeutic choices, and open innovative research avenues.

Profiles of "manic" symptoms in bipolar I, bipolar II and major depressive disorders

BACKGROUND

Classical authors such as Kraepelin, as well as the emerging literature during the past decade, indicate that manic-like signs and symptoms are present to a variable degree in all mood disorders. Current nosography does not differentiate between them and only the number of symptoms or severity is used for classification. This is particularly true for mania and hypomania. This paper will analyze the patterns of manic symptoms in bipolar I (BP-I), bipolar II (BP-II) and major depressive disorders (MDD), to test the hypothesis that mania and hypomania have different profiles, and ascertain which excitatory manic phenomena do occur in unipolar MDD.

METHODS

Six hundred and fifty-two inpatients (158 BP-I, 122 BP-II and 372 MDD) were assessed using the operational criteria for psychotic illness checklist (OPCRIT) [Arch. Gen. Psychiatry 48 (1991) 764] with a lifetime perspective. Manic or hypomanic symptoms were investigated and compared between BP-I, BP-II and MDD.

RESULTS

When compared with BP-II, BP-I disorder had a higher prevalence of reckless activity, distractibility, psychomotor agitation, irritable mood and increased self-esteem. These five symptoms correctly classified 82.8% of BP-I and 80.1% of BP-II patients. One or two manic symptoms were observed in more than 30% of major depressive patients; psychomotor agitation was the most frequent manifestations present in 18% of the MDD group.

LIMITATIONS

We did not control for severity of symptoms, nor for neuroleptic use that could produce akathisia.

CONCLUSIONS

This study suggests that mania and hypomania can be differentiated in their symptom profiles, and highlights the presence of few manic symptoms, particularly psychomotor agitation, in MDD. From the standpoint of number of manic signs and symptoms, controlling for psychomotor agitation did not substantially change the predictive power of the remaining manic symptoms. Given that excitatory manic signs and symptoms are present to a decreasing degree in BP-I, BP-II and MDD, these disorders can be proposed to lie along a dimensional model. Overall, these data are compatible with the concept of a bipolar spectrum, whereby each of the affective subtypes requires specific genetic factors.

The clinical characteristics of DSM-IV bipolar I and II disorders: baseline findings from the Jorvi Bipolar Study (JoBS)

OBJECTIVE

To obtain a comprehensive view of the clinical epidemiology of bipolar I and II disorder in secondary-level psychiatric settings.

METHODS

In the Jorvi Bipolar Study (JoBS), 1630 non-schizophrenic psychiatric in- and outpatients in three Finnish cities were screened for bipolar I and II disorders with the Mood Disorder Questionnaire. Diagnoses were made using semistructured SCID-I and -II interviews. Information collected included clinical history, current episode, symptom status, and other characteristics.

RESULTS

A total of 191 patients with bipolar disorder (90 bipolar I and 101 bipolar II) were included in the JoBS. The majority of bipolar II (50.5%) and many bipolar I (25.6%) patients were previously undiagnosed; the remainder had a median 7.8 years delay from first episode to diagnosis. Despite several lifetime episodes, 26 and 58% of bipolar I and II patients, respectively, had never been hospitalized. A polyphasic episode was current in 51.3%, rapid cycling in 32.5%, and psychotic symptoms in 16.2% of patients. Mixed episodes occurred in 16.7% of bipolar I, and depressive mixed states in 25.7% of bipolar II patients.

CONCLUSION

Even in psychiatric settings, bipolar disorders usually go undetected, or recognized only after a long delay. A significant proportion of not only bipolar II, but also bipolar I patients are never hospitalized. Polyphasic episodes and rapid cycling are prevalent in both types. Depressive mixed states are at least as common among bipolar II patients as mixed episodes among bipolar I.

Depressive syndrome in major psychoses: a study on 1351 subjects

The aim of this study was to investigate depressive symptomatology across distinct major psychiatric disorders. A total of 1351 subjects affected by major depressive disorder (MDD = 389), bipolar disorder (BP = 511), delusional disorder (DD = 93) and schizophrenia (SKZ = 358) were included in our study. Subjects were assessed using the Operational Criteria for Psychotic Illness checklist (OPCRIT). The most frequently represented depressive symptoms in MDD were Loss of energy/tiredness, Loss of pleasure, Poor concentration, and Sleep disorders. Compared with MDD, BP had higher occurrences of Agitated activity, Excessive sleep, and Increased appetite and/or Weight gain, as well as lower Loss of pleasure. In our sample, 32.3% and 26.8% of DD and SKZ, respectively, had quite consistent depressive symptomatology, with at least four or more depressive symptoms. The most common depressive symptoms were Sleep disorders, Poor concentration and Loss of energy/Tiredness, followed by Psychomotor symptoms in SKZ only. Excessive self-reproach, Suicidal ideation, and Appetite and/or Weight changes were more specific to mood disorders. Finally, compared with SKZ, DD suffered from more depressive symptoms and had more severe depressive symptomatology. A quite consistent level of depressive symptomatology is therefore present in subpopulations of delusional and schizophrenic subjects other than in affective subjects. We identified some symptoms that are common across all major psychoses and symptoms that are more specific to each group.