The bipolar spectrum: a clinical perspective

Abnormal stability of spontaneous neuronal activity as a predictor of diagnosis conversion from major depressive disorder to bipolar disorder

OBJECTIVE

Bipolar disorder (BD) is often misdiagnosed as major depressive disorder (MDD) in the early stage, which may lead to inappropriate treatment. This study aimed to characterize the alterations of spontaneous neuronal activity in patients with depressive episodes whose diagnosis transferred from MDD to BD.

METHODS

532 patients with MDD and 132 healthy controls (HCs) were recruited over 10 years. During the follow-up period, 75 participants with MDD transferred to BD (tBD), and 157 participants remained with the diagnosis of unipolar depression (UD). After excluding participants with poor image quality and excessive head movement, 68 participants with the diagnosis of tBD, 150 participants with the diagnosis of UD, and 130 HCs were finally included in the analysis. The dynamic amplitude of low-frequency fluctuations (dALFF) of spontaneous neuronal activity was evaluated in tBD, UD and HC using functional magnetic resonance imaging at study inclusion. Receiver operating characteristic (ROC) analysis was performed to evaluate sensitivity and specificity of the conversion prediction from MDD to BD based on dALFF.

RESULTS

Compared to HC, tBD exhibited elevated dALFF at left premotor cortex (PMC_L), right lateral temporal cortex (LTC_R) and right early auditory cortex (EAC_R), and UD showed reduced dALFF at PMC_L, left paracentral lobule (PCL_L), bilateral medial prefrontal cortex (mPFC), right orbital frontal cortex (OFC_R), right dorsolateral prefrontal cortex (DLPFC_R), right posterior cingulate cortex (PCC_R) and elevated dALFF at LTC_R. Furthermore, tBD exhibited elevated dALFF at PMC_L, PCL_L, bilateral mPFC, bilateral OFC, DLPFC_R, PCC_R and LTC_R than UD. In addition, ROC analysis based on dALFF in differential areas obtained an area under the curve (AUC) of 72.7%.

CONCLUSIONS

The study demonstrated the temporal dynamic abnormalities of tBD and UD in the critical regions of the somatomotor network (SMN), default mode network (DMN), and central executive network (CEN). The differential abnormal patterns of temporal dynamics between the two diseases have the potential to predict the diagnosis transition from MDD to BD.

The Mood Disorder Assessment Schedule: Initial validation of a new measure for early identification of bipolar spectrum disorders in inpatient adolescents

Due to the significant impairment associated with subthreshold bipolar symptomatology and the harmful effects of delayed diagnosis, there is a great need for diagnostic tools that can facilitate early identification of bipolar spectrum disorders. The Mood Disorder Assessment Schedule (MDAS) is a newly developed measure that focuses on autonomous changes in mood and energy, a key indicator of bipolar spectrum problems which is not included in current diagnostic tools for bipolar disorders. The current study tested the ability of the MDAS to identify individuals at risk for bipolar spectrum disorders. In a cross-sectional sample of 396 inpatient adolescents, the MDAS identified a group of individuals with several bipolar spectrum disorder (BSD) indicators, including greater manic and depressive symptoms, affective lability, suicidal behavior, adverse reactions to antidepressants, and a family history of bipolar disorder and suicidal behavior. When compared to a standard diagnostic interview for bipolar disorders (i.e., Kiddie Schedule for Affective Disorders and Schizophrenia [KSADS]), the MDAS yielded stronger clinical utility in its ability to identify individuals with BSD indicators. Therefore, the MDAS appears to be a promising diagnostic tool for identifying adolescents at risk for BSDs and may help facilitate earlier diagnosis and prevent harmful effects of improper treatment.

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

BACKGROUND AND OBJECTIVES

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

METHODOLOGY

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

RESULTS

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

CONCLUSIONS

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

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.

Screening for Bipolar Disorder and Finding Borderline Personality Disorder: A Replication and Extension

The authors' group previously reported that patients who screened positive on the Mood Disorders Questionnaire (MDQ), the most frequently studied screening scale for bipolar disorder, were as likely to be diagnosed with borderline personality disorder (BPD) as with bipolar disorder. A limitation of that study was that the authors examined the performance of the MDQ in patients presenting for various psychiatric disorders, including depression. The recognition of bipolar disorder and its differential diagnosis with BPD is of greatest clinical relevance in depressed patients. In the present report from the Rhode Island Methods to Improve Diagnostic Assessment and Services (MIDAS) project, the authors attempted to replicate their initial findings in a new sample of psychiatric outpatients, and they also examined the performance of the MDQ in depressed patients. The results of the present study were consistent with the original report, thereby indicating that the MDQ is not effective in helping distinguish bipolar disorder from BPD.

Affective Temperaments and Clinical Course of Bipolar Disorder: An Exploratory Study of Differences among Patients with and without a History of Violent Suicide Attempts

Background and Objectives: Suicide is the leading cause of death in patients with Bipolar Disorder (BD). In particular, the high mortality rate is due to violent suicide attempts. Several risk factors associated with suicide attempts in patients with BD have been identified. Affective temperaments are associated with suicidal risk, but their predictive role is still understudied. The aim of this study is to assess the relationship between affective temperaments and personal history of violent suicide attempts. Materials and Methods: 74 patients with Bipolar Disorder type I (BD-I) or II (BD-II) were included. All patients filled in the short version of Munster Temperament Evaluation of the Memphis, Pisa, Paris and San Diego (short TEMPS-M) and the Temperament and Character Inventory, revised version (TCI-R). The sample was divided into two groups on the basis of a positive history for suicidal attempts and the suicidal group was further divided into two subgroups according to violent suicide attempts. Results: Violent suicide attempts were positively associated with the cyclothymic temperament and inversely to the hyperthymic one. BD-I patients and patients with a clinical history of rapid cycling were significantly more represented in the group of patients with a history of violent suicide attempts. Conclusions: Our study highlights that several clinical and temperamental characteristics are associated with violent suicide attempts, suggesting the importance of affective temperaments in the clinical management of patients with BPI.

Differentiating borderline personality from bipolar disorder with the Mood Disorder Questionnaire (MDQ): A replication and extension of the International Mood Network (IMN) Nosology Project

INTRODUCTION

Vöhringer et al. identified a triad of items on the Mood Disorder Questionnaire (MDQ) that best discriminated between borderline personality disorder (BPD) and bipolar disorder (BD) in a tertiary mood clinic setting [23]. The present study aimed to replicate and extend these findings by examining the performance of the triad across a range of cut-off scores and comparing the operating characteristics of the triad to the full MDQ.

METHODS

Patients presenting for treatment were assessed with the Structured Clinical Interview for DSM-IV (SCID) and the BPD module of the Structured Interview for DSM-IV Personality (SIDP-IV). The present report is based on 476 depressed patients who had a principal diagnosis of major depressive disorder or BD and who completed the MDQ.

RESULTS

Fifty-seven patients were diagnosed with BD and fifty-four patients were diagnosed with BPD. Both the triad and full MDQ significantly predicted BD diagnosis (p < .001), but the triad had optimal operating characteristics, particularly at a cut-off of two.

CONCLUSION

Within a sample of depressed patients, the MDQ triad is a better screener for BD than the full MDQ, particularly if a positive triad screen is indicated by the presence of any two items. The triad is particularly good for differentiating between BD and BPD, whereas the full MDQ does a poorer job of differential diagnosis. Future studies should administer the triad as a stand-alone scale.

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

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

Diagnosis and Treatment of Cyclothymia: The "Primacy" of Temperament

Background: Contrary to DSM-5 definition based on recurrence of low grade hypomanic and depressive symptoms, cyclothymia is better defined in a neurodevelopmental perspective as an exaggeration of cyclothymic temperament. Emotional dysregulation with extreme mood instability and reactivity is the core features of the complex symptomatology.

Method: In the present article, we critically reviewed the literature on the diagnosis and treatment of cyclothymia, focusing on the temperamental and neurodevelopmental perspectives.

Results: Current epidemiological and clinical research showed the high prevalence and the validity of cyclothymia as a distinct form of bipolarity, frequently associated with multiple comorbidities with anxiety, impulse control, substance use, and so called “personality” disorders. Many patients receive correct diagnosis and treatments after many years of illness, when the superposition of complications reduces the possibility of complete remission. A therapeutic model combining the focus on symptomatic presentations with a temperamental perspective seems to represent an effective approach for cyclothymic patients with complex clinical presentations.

Conclusion: Cyclothymic mood instability is an understudied issue despite the evidence of its clinical relevance. Unresolved issues concern its diagnostic delimitation and the possible relationships with emotional dysregulation observed in other neurodevelopmental disorders. We need to confirm the specificity of the disorder and to improve its recognition in early phase of the life, especially in youth. Early recognition means avoiding unnecessary complications and establishing specific treatments and clinical management since the beginning.

Do some anxiety disorders belong to the prodrome of bipolar disorder? A clinical study combining retrospective and prospective methods to analyse the relationship between anxiety disorder and bipolar disorder from the perspective of biorhythms

BACKGROUND

In clinical practice, some patients diagnosed with anxiety disorder (AD) may develop bipolar disorder (BD) many years later, and some cases of AD may be cured by the use of mood stabilizers. However, the relationship between AD and BD should be explored further.

METHOD

To track how many cases of AD turned to BD and to discover the differences between them, we recruited 48 patients diagnosed with BD, who were assigned to the BD group for the retrospective analysis, and we also recruited 186 patients diagnosed with AD at enrolment; this latter group was asked to complete follow-up surveys conducted 3 months, 6 months, 12 months and 18 months after the primary stage of the study. We defined another two groups according to the usage of mood stabilizers, the rates of reduction in scores on the Hamilton Anxiety Scale and Yale-Brown Obsessive Compulsive Scale, and the changes in Clinical Global Impression scores at different follow-up times: the anxiety group and the atypical BD group (who used mood stabilizers to treat AD). All subjects also completed the NEO Five-Factor Inventory and supplied blood samples to be tested for several endocrine indices (TSH, T3, FT3, T4, FT4, ACTH,PTC) and inflammatory cytokines (IL-6, IL-8, IL-10, TNF-α, CRP) at enrolment.

RESULTS

In total, 14 subjects developed BD by the end of the study. One hundred eleven subjects were included in the anxiety group. Sixty-three subjects were assigned to the atypical BD group, and they had similar features to the 48 subjects in the BD group in terms of personality traits, abnormality rates of endocrine indices and levels of inflammatory cytokines. From the anxiety group to the atypical BD group and then the BD group, the age of first onset gradually decreased, while the frequency of onset and the score of suicidal ideation gradually increased. Furthermore, the atypical BD group showed markedly higher levels of TSH, IL-6, TNF-α and CRP than the other two groups.

CONCLUSIONS

Some ADs with unique features might belong to the prodromal stage or the atypical presentation of BD, and recognizing these ADs early will economize many medical resources.

Improving the Recognition of Borderline Personality Disorder in a Bipolar World

Both bipolar disorder and borderline personality disorder (BPD) are serious mental health disorders resulting in significant psychosocial morbidity, reduced health-related quality of life, and excess mortality. Yet research on BPD has received much less funding from the National Institute of Health (NIH) than has bipolar disorder during the past 25 years. Why hasn't the level of NIH research funding for BPD been commensurate with the level of psychosocial morbidity, mortality, and health expenditures associated with the disorder? In the present article, the author illustrates how the bipolar disorder research community has done a superior job of "marketing" their disorder. Studies of underdiagnosis, screening, diagnostic spectra, and economics are reviewed for both bipolar disorder and BPD. Researchers of bipolar disorder have conducted multiple studies highlighting the problem with underdiagnosis, developed and promoted several screening scales, published numerous studies of the operating characteristics of these screening measures, attempted to broaden the definition of bipolar disorder by advancing the concept of the bipolar spectrum, and repeatedly demonstrated the economic costs and public health significance of bipolar disorder. In contrast, researchers of BPD have almost completely ignored each of these four issues and research efforts. Although BPD is as frequent as (if not more frequent than) bipolar disorder, as impairing as (if not more impairing than) bipolar disorder, and as lethal as (if not more lethal than) bipolar disorder, it has received less than one-tenth the level of funding from the NIH and has been the focus of many fewer publications in the most prestigious psychiatric journals. The researchers of BPD should consider adopting the strategy taken by researchers of bipolar disorder before the diagnosis is eliminated in a future iteration of the DSM or the ICD.

Emotional and Affective Temperaments in Smoking Candidates for Bariatric Surgery

INTRODUCTION

The prevalence of smoking habits in severe obesity is higher than in the general population. There is some evidence that smokers have different temperaments compared to non-smokers. The aim of this study is to evaluate the associations between smoking status (smokers, ex-smokers and non-smokers) and temperament characteristics in bariatric surgery candidates.

METHODS

We analyzed data on temperament of 420 bariatric surgery candidates, as assessed by the AFECTS scale, in an exploratory cross-sectional survey of bariatric surgery candidates who have been grouped into smokers, ex-smokers and non-smokers.

RESULTS

We detected significant statistical differences in temperament related to the smoking status in this population after controlling the current use of psychiatric medication. Smokers had higher anxiety and lower control than non-smokers. Ex-smokers with BMI >50 kg/m(2) presented higher coping and control characteristics than smokers.

CONCLUSIONS

Smoking in bariatric surgery candidates was associated with lower control and higher anxious temperament, when controlled by current use of psychiatric medication. Smokers with BMI >50 kg/m(2) presented lower coping and control than ex-smokers. Assessment of temperament in bariatric surgery candidates may help in decisions about smoking cessation treatment and prevention of smoking relapse after surgery.

A Review of 20 Years of Research on Overdiagnosis and Underdiagnosis in the Rhode Island Methods to Improve Diagnostic Assessment and Services (MIDAS) Project

The Rhode Island Methods to Improve Diagnostic Assessment and Services (MIDAS) project represents an integration of research methodology into a community-based outpatient practice affiliated with an academic medical centre. The MIDAS project is the largest clinical epidemiological study using semi-structured interviews to assess a wide range of psychiatric disorders in a general clinical outpatient practice. In an early report from the MIDAS project, we found that across diagnostic categories clinicians using unstandardized, unstructured clinical interviews underrecognized diagnostic comorbidity, compared with the results of semi-structured interviews. Moreover, we found that the patients often wanted treatment for symptoms of disorders that were diagnosed as comorbid, rather than principal, conditions. This highlighted the importance, from the patient's perspective, of conducting thorough diagnostic interviews to diagnose disorders that are not related to the patient's chief complaint because patients often desire treatment for these additional diagnoses. While several of the initial papers from the MIDAS project identified problems with the detection of comorbid disorders in clinical practice, regarding the diagnosis of bipolar disorder we observed the emergence of an opposite phenomenon-clinician overdiagnosis. The results from the MIDAS project, along with other studies of diagnosis in routine clinical practice, have brought to the forefront the problem with diagnosis in routine clinical practice. An important question is what do these findings suggest about the community standard of care in making psychiatric diagnoses, and whether and how the standard of care should be changed? The implications are discussed.

A diagnosis of bipolar spectrum disorder predicts diagnostic conversion from unipolar depression to bipolar disorder: a 5-year retrospective study

BACKGROUND

The major aims of this study were to identify factors that may predict the diagnostic conversion from major depressive disorder (MDD) to bipolar disorder (BP) and to evaluate the predictive performance of the bipolar spectrum disorder (BPSD) diagnostic criteria.

METHODS

The medical records of 250 patients with a diagnosis of MDD for at least 5 years were retrospectively reviewed for this study.

RESULTS

The diagnostic conversion from MDD to BP was observed in 18.4% of 250 MDD patients, and the diagnostic criteria for BPSD predicted this conversion with high sensitivity (0.870) and specificity (0.917). A family history of BP, antidepressant-induced mania/hypomania, brief major depressive episodes, early age of onset, antidepressant wear-off, and antidepressant resistance were also independent predictors of this conversion.

LIMITATIONS

This study was conducted using a retrospective design and did not include structured diagnostic interviews.

CONCLUSIONS

The diagnostic criteria for BPSD were highly predictive of the conversion from MDD to BP, and conversion was associated with several clinical features of BPSD. Thus, the BPSD diagnostic criteria may be useful for the prediction of bipolar diathesis in MDD patients.

Borderline personality disorder: a disorder in search of advocacy

Compared with bipolar disorder, borderline personality disorder (BPD) is as frequent (if not more frequent), as impairing (if not more impairing), and as lethal (if not more lethal). Yet, BPD has received less than one-tenth the funding from the National Institutes of Health than has bipolar disorder. More than other reviewers of the literature on the interface between bipolar disorder and BPD, Paris and Black (Paris J and Black DW (2015) Borderline Personality Disorder and Bipolar Disorder: What is the Difference and Why Does it Matter? J Nerv Ment Dis 203:3-7) emphasize the clinical importance of correctly diagnosing BPD and not overdiagnosing bipolar disorder, with a focus on the clinical feature of affective instability and how the failure to recognize the distinction between sustained and transient mood perturbations can result in misdiagnosing patients with BPD as having bipolar disorder. The review by Paris and Black, then, is more of an advocacy for BPD than other reviews in this area have been. In the present article, the author will illustrate how the bipolar disorder research community has done a superior job of advocating for and "marketing" their disorder compared with researchers of BPD. Specifically, researchers of bipolar disorder have conducted multiple studies highlighting the problem with underdiagnosis, written commentaries about the problem with underdiagnosis, developed and promoted several screening scales to improve diagnostic recognition, published numerous studies of the operating characteristics of these screening measures, attempted to broaden the definition of bipolar disorder by advancing the concept of the bipolar spectrum, and repeatedly demonstrated the economic costs and public health significance of bipolar disorder. In contrast, researchers of BPD have almost completely ignored each of these issues and thus have been less successful in highlighting the public health significance of the disorder.

The relationship between borderline personality disorder and bipolar disorder

It is clinically important to recognize both bipolar disorder and borderline personality disorder (BPD) in patients seeking treatment for depression, and it is important to distinguish between the two. Research considering whether BPD should be considered part of a bipolar spectrum reaches differing conclusions. We reviewed the most studied question on the relationship between BPD and bipolar disorder: their diagnostic concordance. Across studies, approximately 10% of patients with BPD had bipolar I disorder and another 10% had bipolar II disorder. Likewise, approximately 20% of bipolar II patients were diagnosed with BPD, though only 10% of bipolar I patients were diagnosed with BPD. While the comorbidity rates are substantial, each disorder is nontheless diagnosed in the absence of the other in the vast majority of cases (80% to 90%). In studies examining personality disorders broadly, other personality disorders were more commonly diagnosed in bipolar patients than was BPD. Likewise, the converse is also true: other axis I disorders such as major depression, substance abuse, and post-traumatic stress disorder are also more commonly diagnosed in patients with BPD than is bipolar disorder. These findings challenge the notion that BPD is part of the bipolar spectrum.

The bipolar spectrum: diagnostic and pharmacologic considerations

Bipolar disorder represents a clinically challenging, episodic, lifelong medical illness that is both disabling and dangerous to the patient and is associated with a high risk of suicide. The prognosis for bipolar patients is likely to worsen with delays in accurate diagnosis and treatment as time is allowed for more extensive complications and morbidity to accrue and for alcohol or other substance use comorbidity to complicate the course of the illness. Physicians face several challenges when diagnosing bipolar disorder, including overlapping symptomatology and comorbidity with other disorders, as well as the somewhat restrictive and categorical approach taken by the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) and the International Statistical Classification of Diseases, 10th Revision (ICD-10) diagnostic criteria. As a result, bipolar disorder is frequently unrecognized and misdiagnosed with considerable clinical and prognostic consequences for the patient. The accuracy of diagnosis of bipolar disorder could be improved through the introduction of a refined procedure for the identification and evaluation of a broader range of symptoms, and by careful attention to the presence of subthreshold symptomatology. A conceptual shift toward acceptance of a 'spectrum' model of bipolar disorder and the development of appropriate clinical diagnostic tools should assist physicians in differentiating bipolar disorder from other Axis I, Axis II, and personality disorders, as well as ensuring early diagnosis and therapeutic intervention.

Problematic boundaries in the diagnosis of bipolar disorder: the interface with borderline personality disorder

It is clinically important to recognize both bipolar disorder and borderline personality disorder (BPD) in patients seeking treatment for depression, and it is important to distinguish between the two. The most studied question on the relationship between BPD and bipolar disorder is their diagnostic concordance. Across studies approximately 10 % of patients with BPD had bipolar I disorder and another 10 % had bipolar II disorder. Likewise, approximately 20 % of bipolar II patients were diagnosed with BPD, though only 10 % of bipolar I patients were diagnosed with BPD. While the comorbidity rates are substantial, each disorder is, nonetheless, diagnosed in the absence of the other in the vast majority of cases (80-90 %). In studies examining personality disorders broadly, other personality disorders were more commonly diagnosed in bipolar patients than was BPD. Likewise, the converse is also true: other axis I disorders such as major depression, substance abuse, and post-traumatic stress disorder are more commonly diagnosed in patients with BPD than is bipolar disorder. Studies comparing patients with BPD and bipolar disorder find significant differences on a range of variables. These findings challenge the notion that BPD is part of the bipolar spectrum. While a substantial literature has documented problems with the under-recognition and under-diagnosis of bipolar disorder, more recent studies have found evidence of bipolar disorder over-diagnosis and that BPD is a significant contributor to over-diagnosis. Re-conceptualizing the Diagnostic and Statistical Manual of Mental Disorders, fifth edition, diagnostic criteria for bipolar disorder as a type of test, rather than the final word on diagnosis, shifts the diagnostician from thinking solely whether a patient does or does not have a disorder to considering the risks of false-positive and false-negative diagnoses, and the ease by which each type of diagnostic error can be corrected by longitudinal observation.

Can the Loudness Dependence of Auditory Evoked Potentials and Suicidality Be Used to Differentiate between Depressive Patients with and without Bipolarity

OBJECTIVE

This study aimed to test the hypothesis that the loudness dependence of auditory evoked potentials (LDAEP) can be used to predict the presence of bipolarity in patients with major depressive episodes.

METHODS

A cohort of 61 patients who met the criteria for major depressive disorder (MDD) following diagnosis using Axis I of the fourth edition of the Diagnostic and Statistical Manual of Mental Disorders-text revision, and who had no history of hypomanic or manic episodes was included in this study. The patients were stratified into two subgroups based on whether or not they achieved a positive score for the Korean versions of the Mood Disorder Questionnaire (K-MDQ). The LDAEP was evaluated by measuring the auditory event-related potentials before beginning medication with serotonergic agents.

RESULTS

The Barratt Impulsiveness Scale (BIS) score was also higher for the positive screening group (81.24±11.87) than for the negative screening group (73.30±14.92; p=0.039, independent t-test). However, the LDAEP, Beck Depression Inventory, Hamilton Depression Rating Scale, Beck Hopelessness Scale (BHS), and Hamilton Anxiety Scale scores did not differ significantly between them. When binary logistic regression analysis was carried, the relationship between the positive or negative subgroups for K-MDQ and BIS or Beck Scale for Suicidal Ideation (BSS) score was also significant (respectively, p=0.017, p=0.038).

CONCLUSION

We found that LDAEP was not significantly different between depressive patients with and without bipolarity. However, our study has revealed the difference between two subgroups based on whether or not they achieved a positive score for the K-MDQ in BIS or BSS score.

Looking for bipolar spectrum psychopathology: identification and expression in daily life

OBJECTIVES

Current clinical and epidemiological research provides support for a continuum of bipolar psychopathology: a bipolar spectrum that ranges from subclinical manifestations to full-blown bipolar disorders. Examining subthreshold bipolar symptoms may identify individuals at risk for clinical disorders, promote early interventions and monitoring, and increase the likelihood of appropriate treatment. The present studies examined the construct validity of bipolar spectrum psychopathology using the Hypomanic Personality Scale.

METHODS

Study 1 used interview and questionnaire measures of bipolar spectrum psychopathology in a sample of 145 nonclinically ascertained young adults. Study 2 assessed the expression of the bipolar spectrum in daily life using experience sampling methodology in the same sample.

RESULTS

In study 1, Hypomanic Personality Scale scores were positively associated with clinical bipolar disorders, bipolar spectrum disorders, the presence of hypomania or hyperthymia, depressive symptoms, poor psychosocial functioning, cyclothymia, irritability, and symptoms of borderline personality disorder. In study 2, bipolar spectrum psychopathology was associated with negative affect, thought disturbance, risky behavior, and measures of grandiosity. These findings remained independent of clinical bipolar disorders.

CONCLUSIONS

In the present studies, bipolar-like disruptions in cognition, affect, and behavior were not limited to clinical diagnoses or mood episodes, providing further validation of the bipolar spectrum construct. The bipolar spectrum model appears to provide a conceptually richer basis for understanding and ultimately treating bipolar psychopathology than current diagnostic formulations.

Cyclothymia

Over the last three decades, cyclothymia has been positioned in one of two principal ways: formally classified as a mood disorder, and less formally categorized at a "cyclothymic temperament" (CT) level. This review considers its historic evolution and provides five models for conceptualizing independence or interdependence between cyclothymia as a temperament style and as a formal mood disorder. Findings argue for CT to be conceded and appropriately defined. Secondly, it is recommended that cyclothymia's expression as a mood disorder should be positioned within the bipolar II disorder class-albeit perhaps having briefer mood swings and fewer episodes, more rapid cycling, and greater reactivity to environmental factors than is conceptualized currently for bipolar II disorders. By allowing cyclothymia both axis I and axis II status (although necessitating differing terminology), research evaluating any shared biological underpinnings and any predisposition provided by the CT temperament style to a later formalized bipolar II condition would be advanced.

The increasing frequency of mania and bipolar disorder: causes and potential negative impacts

The frequency of mania has not changed during the last century even with the development of new diagnostic criteria sets. More specifically, from the mid-1970s to 2000, the rate of mania (variably labeled major affective disorder-bipolar disorder and bipolar I disorder) was consistently identified in US and international studies as ranging from 0.4% to 1.6%. By the late 1990s to the 2000s, the prevalence reported by some researchers for bipolar disorders (I and II and others) was in the 5% to 7% and higher ranges. The purpose of this paper was to review explanations for this change and the potentially negative impacts on the field.

Misuse of the Mood Disorders Questionnaire as a case-finding measure and a critique of the concept of using a screening scale for bipolar disorder in psychiatric practice

OBJECTIVES

Under-recognition of bipolar disorder (BD) is common and incurs significant costs for individuals and society. Clinicians are often encouraged to use screening instruments to help them identify patients with the disorder. The Mood Disorder Questionnaire (MDQ) is the most widely studied measure for this purpose. Some studies, however, have used the MDQ as a case-finding instrument rather than a screening scale. Such inappropriate use of screening scales risks distorting perceptions about many facets of BD, from its prevalence to its consequences.

METHODS

Studies using the MDQ were reviewed to identify those reports that have used the scale as a case-finding measure rather than a screening scale.

RESULTS

Multiple studies were identified in the BD literature that used the MDQ as a diagnostic proxy. The findings of these studies were misinterpreted because of the failure to make the distinction between screening and case-finding.

CONCLUSIONS

Inappropriate conclusions have been drawn regarding the prevalence, morbidity, and diagnostic under-recognition of BD in studies that rely on the MDQ as a diagnostic proxy. A conceptual critique is offered against the use of self-administered screening questionnaires for the detection of BD in psychiatric settings.

The use of Mood Disorder Questionnaire, Hypomania Checklist-32 and clinical predictors for screening previously unrecognised bipolar disorder in a general psychiatric setting

Bipolar disorder is often unrecognised and misdiagnosed in the general psychiatric setting. This study compared the psychometric properties of the Mood Disorder Questionnaire (MDQ) and the Hypomania Checklist-32 (HCL-32), examined the clinical predictors of bipolar disorder and determined the best approach for screening previously unrecognised bipolar disorder in a general psychiatric clinic. A random sample of 340 non-psychotic outpatients with no previous diagnosis of bipolar disorder completed the MDQ and HCL-32 during their scheduled clinic visits. Mood and alcohol/substance use disorders were reassessed using a telephone-based Structured Clinical Interview for DSM-IV. We found that the HCL-32 had better psychometric performance and discriminatory capacity than the MDQ. The HCL-32's internal consistency and 4-week test-retest reliability were higher. The area under the curve was also greater than that of the MDQ at various clustering and impairment criteria. The optimal cut-off of the MDQ was co-occurrence of four symptoms with omission of the impairment criterion; for the HCL-32, it was 11 affirmative responses. Multivariable logistic regression found that bipolar family history was associated with an increased risk of bipolar disorder (odds ratio=4.93). The study showed that simultaneous use of the HCL-32 and bipolar family history was the best approach for detecting previously unrecognised bipolar disorder.

Screening for bipolar disorder with the Mood Disorders Questionnaire: a review

BACKGROUND

Several research reports have suggested that bipolar disorder is underrecognized. Recommendations for improving the detection of bipolar disorder include the use of screening questionnaires. The Mood Disorders Questionnaire (MDQ) has been the most widely studied screening instrument for bipolar disorder, with nearly two dozen published reports on its performance. We reviewed the literature on the MDQ's performance to assess its utility as a screening instrument.

METHODS

We conducted a Medline search on the terms Mood Disorders Questionnaire, MDQ, screening AND bipolar disorder, and recognition AND bipolar disorder. Only studies of adults were included.

RESULTS

Across all studies the sensitivity of the MDQ was 61.3%; specificity, 87.5%; positive predictive value, 58.0%; and negative predictive value, 88.9%. Compared to the studies using the MDQ for psychiatric outpatients, studies using it in the general population found it to have much lower sensitivity and positive predictive value, and higher specificity and negative predictive value. The MDQ's sensitivity was higher in detecting bipolar I disorder than bipolar II disorder (66.3% vs. 38.6%). Lowering the threshold to identify cases markedly improved the MDQ's sensitivity, with only a modest reduction in specificity. Studies of the best symptom cutoff to identify cases have produced inconsistent findings.

CONCLUSIONS

The MDQ's performance depends upon the setting in which it is used, the threshold to identify caseness, and the subtype of bipolar disorder examined. Conceptual issues in the use of a bipolar disorder screening questionnaire are discussed, and questions are raised about the clinical value of a self-report screening scale for bipolar disorder. Based on current available evidence, routine clinical use of the MDQ cannot be recommended because of the absence of studies simultaneously examining both the potential benefits (e.g., improved detection) and costs (e.g., overdiagnosis) of screening.

Cyclothymic and hyperthymic temperaments may predict bipolarity in major depressive disorder: a supportive evidence for bipolar II1/2 and IV

BACKGROUND

The concept of soft bipolar spectrum has not been fully confirmed. The aim of the present study is to investigate the validity of bipolar II1/2 and IV concept.

METHODS

The subjects were 46 consecutive outpatients. The individual temperament of each patient was recorded using the Temperament Evaluation of Memphis, Pisa, Paris, and San Diego-Autoquestionnaire (TEMPS-A). The operational definition of bipolar II1/2 was those who had depression with cyclothymic temperament and that of bipolar IV was those who had depression with hyperthymic temperament. Finally, drug responses were investigated.

RESULTS

DSM-IV-TR diagnoses were bipolar I (N=1), bipolar II (N=9), major depressive disorder (N=34) and depressive disorder not otherwise specified (N=2). Excluding one bipolar I patient, who had both cyclothymic and hyperthymic temperaments, patients with bipolar II1/2 (N=32) and IV (N=13) as well as bipolar II (N=9) were classified into the soft bipolar spectrum, although there was considerable overlap. The categorization of soft bipolar spectrum and unipolar depression significantly predicted depressive, cyclothymic, irritable, and anxious temperaments. Moreover, soft bipolar spectrum patients with lithium treatment were significantly more in remission than those without lithium treatment. In addition, more of those with selective serotonin reuptake inhibitors (SSRIs) had a significant tendency to lower remission than those without SSRIs.

LIMITATIONS

This is a cross-sectional study with a relatively small number of subjects.

CONCLUSIONS

The present findings suggest that cyclothymic and hyperthymic temperaments may predict bipolarity, and the validity of bipolar II1/2 and IV concept is supported.

Psychiatric diagnoses in patients who screen positive on the Mood Disorder Questionnaire: Implications for using the scale as a case-finding instrument for bipolar disorder

Bipolar disorder is prone to being overlooked because its diagnosis is more often based on retrospective report than cross-sectional assessment. Recommendations for improving the detection of bipolar disorder include the use of screening questionnaires. The Mood Disorder Questionnaire (MDQ) is the most widely studied self-report screening scale that has been developed to improve the detection of bipolar disorder. Although developed as a screening scale, the MDQ has also been used as a case-finding measure. However, studies of the MDQ in psychiatric patients have found high false positive rates, though no study has determined the psychiatric diagnoses associated with false positive results on the MDQ. The goal of the present report from the Rhode Island Methods to Improve Diagnostic Assessment and Services (MIDAS) project was to identify the psychiatric disorders associated with increased false positive rates on the MDQ. Four hundred eighty psychiatric outpatients were interviewed with the Structured Clinical Interview for DSM-IV (SCID) and completed the MDQ. After excluding the 52 patients diagnosed with a lifetime history of bipolar disorder we compared diagnostic frequencies in patients who did and did not screen positive on the MDQ. Based on the Hirschfeld et al. scoring guidelines of the MDQ, 15.2% (n=65) of the 428 nonbipolar patients screened positive on MDQ. Compared to patients who screened negative, the patients who screened positive were significantly more likely have a current and lifetime diagnosis of specific phobia, posttraumatic stress disorder, alcohol and drug use disorders, any eating disorder, any impulse control disorder, and attention deficit disorder. Results were similar using a less restrictive threshold to identify MDQ cases. That is, MDQ caseness was associated with significantly elevated rates of anxiety, impulse control, substance use, and attention deficit disorders. Studies using the MDQ as a stand-alone proxy for the diagnosis of bipolar disorder should consider whether the presence of these other forms of psychopathology could be responsible for differences between individuals who screen positive and negative on the scale.

A model for the dynamics of bipolar disorders

Bipolar disorders are characterized by recurrent, alternating episodes of mania and depression. To examine the dynamical bases of this cyclical illness we consider a minimal model for bipolar disorders based on the observation that the two poles of the disease are mutually exclusive. We assume that the propensities to mania and depression, which are correlated with the activity of two putative neural circuits that promote, respectively, the manic or the depressive state, inhibit each other. When mutual inhibition is sufficiently strong, the model predicts bistability: the bipolar system is then either in a depressive or in a manic state and can display abrupt switches between these stable states. We consider two simple mechanisms which, when added to mutual inhibition, allow the model to pass from bistability to oscillations. Self-sustained oscillations provide a mechanism for the spontaneous, recurrent switching between mania and depression. The model can generate oscillations with a variety of waveforms, including simple periodic oscillations with comparable or unequal durations of the manic and depressive episodes, or small-amplitude oscillations around one of the two states preceding large-amplitude periodic changes in the propensities to mania or depression. The model provides a theoretical framework that covers the bipolar spectrum, i.e., cycling between the two poles of the disease, or evolution to either mania or depression or to an intermediate state without alternating between the two poles of the disease. The model accounts for the clinical observation that antidepressants can trigger the transition to mania or increase the frequency of bipolar cycling.

Severity of affective temperament and maladaptive self-schemas differentiate borderline patients, bipolar patients, and controls

OBJECTIVES

There is an unsettled debate on whether borderline personality disorder and bipolar disorder should be considered related or distinct. This study aimed to further the understanding of the similarities and differences between the 2 disorders by comparing borderline patients, bipolar patients, and controls in terms of various affective temperaments and maladaptive self-schemas.

METHODS

The sample consisted of 85 participants (31 borderline patients, 25 bipolar patients and 29 student controls) who completed 2 questionnaires: The Temperament Evaluation of the Memphis, Pisa, Paris, and San Diego Autoquestionnaire and the Young Schema Questionnaire. All of the patients were in remission from affective episodes.

RESULTS

Compared to the bipolar patients and the controls, the borderline patients were characterized by significantly higher mean scores on most of the maladaptive self-schemas and affective temperaments. The bipolar patients differed significantly from controls by higher mean scores on the cyclothymic temperament and insufficient self-control.

CONCLUSIONS

The study suggests that affective temperaments and maladaptive self-schemas are more severe in borderline patients than in bipolar patients. These findings point to phenomenological differences between the 2 disorders and therefore question their degree of kinship.

Performance of the Bipolar Spectrum Diagnostic Scale in psychiatric outpatients

OBJECTIVES

Recent research has suggested that bipolar disorder, when defined to include milder variants such as bipolar II disorder and bipolar disorder not otherwise specified (NOS), is more prevalent than had been previously reported and often underrecognized. Recommendations for improving the detection of bipolar disorder have included careful clinical evaluations inquiring about a history of mania and hypomania and the use of screening questionnaires. The Bipolar Spectrum Diagnostic Scale (BSDS) was designed to be particularly sensitive to the milder variants of bipolar disorder. In the present report from the Rhode Island Methods to Improve Diagnostic Assessment and Services (MIDAS) project, we examined the operating characteristics of the BSDS in a large sample of psychiatric outpatients presenting for treatment.

METHODS

A total of 1,100 psychiatric outpatients were interviewed with the Structured Clinical Interview for DSM-IV and asked to complete the BSDS. Missing data on the BSDS reduced the sample size to 961, approximately 10% (n = 90) of whom were diagnosed with bipolar disorder.

RESULTS

The sensitivity of the BSDS was similar for bipolar I disorder, bipolar II disorder, and bipolar disorder NOS/cyclothymia. A receiver operating curve (ROC) analysis indicated that cutoffs of 11 and 12 maximized the sum of sensitivity and specificity for the entire group of patients with bipolar disorder (area under curve = 0.80, p < 0.001). The cutoff point associated with 90% sensitivity for the entire sample of patients with bipolar disorder was 8. At this cutoff the specificity of the scale was 51.1% and positive predictive value was 16.0%. We compared the patients with and without bipolar disorder on each of the BSDS symptom items. The odds ratios were higher for the items assessing hypomanic/manic symptoms than items assessing depressive symptoms. We therefore examined the performance of a subscale composed only of the hypomania/mania items. The area under the curve in the ROC analysis was nearly identical to that of the entire scale (0.81, p < 0.001).

CONCLUSIONS

With its high negative predictive value, the BSDS was excellent at ruling out a diagnosis of bipolar disorder; however, the low positive predictive value indicates that it is not good at ruling in the diagnosis. These data raise questions about the use of the BSDS as a screening measure in routine clinical psychiatric practice.

A different approach toward screening for bipolar disorder: the prototype matching method

Most screening scales for psychiatric disorders consist of a series of questions about the signs and symptoms of the disorder of interest, and to determine whether a patient screens positive, the scores of the individual items are summed and the total score is compared with an empirically derived threshold. A problem with the score summation approach toward case identification on screening scales is that different studies may find that different thresholds are optimal for distinguishing cases from noncases. An alternative approach toward screening is the prototype matching approach, in which respondents are asked to indicate how well their clinical history matches the described prototype. In the present report from the Rhode Island Methods to Improve Diagnostic Assessment and Services project, we compared the symptom summation and prototype matching approaches toward screening for bipolar disorder in a large sample of psychiatric outpatients. Nine hundred sixty-one psychiatric outpatients were interviewed with the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition and completed the Bipolar Spectrum Disorders Scale (BSDS). The BSDS is a unique screening scale consisting of a prototypic description of bipolar disorder. The respondent checks off which items in the prototypic paragraph describes them and also answers a single multiple-choice question at the end of the paragraph asking how well the paragraph describes them. The results of a receiver operating curve analysis found that the score summation and prototype matching approaches toward screening on the BSDS performed equally well. These findings provide preliminary evidence that an alternative approach toward psychiatric screening, the prototype matching approach, is as effective as the traditional score summation method. This raises the intriguing possibility of developing a combined screening scale/educational instrument that can be formatted as a brochure and thus placed in clinicians' waiting rooms, thereby facilitating use of the measure.

Overdiagnosis of bipolar disorder and disability payments

The diagnosis of bipolar disorder has received increasing attention during the past decade. Several research reports have suggested that bipolar disorder is under-recognized, and that many patients, particularly those with major depressive disorder, have, in fact, bipolar disorder. More recently, some reports have suggested that bipolar disorder is also overdiagnosed at times. There are several possible reasons for bipolar disorder overdiagnosis. In the present study, we examined whether secondary gain associated with receiving disability payments might be partially responsible for bipolar disorder overdiagnosis. A total of 82 psychiatric outpatients reported having been previously diagnosed with bipolar disorder, which was not confirmed when interviewed with the Structured Clinical Interview for DSM-IV. The percentage of patients receiving disability payments and the duration of disability payments were compared in these 82 patients and 528 patients who were not diagnosed with bipolar disorder. Compared with the patients who had never been diagnosed with bipolar disorder, the patients overdiagnosed with bipolar disorder were significantly more likely to have received disability payments at some point during the past 5 years, and were receiving disability payments for significantly more weeks. We conducted a regression analysis controlling for the number of lifetime diagnoses, and overdiagnosis of bipolar disorder was a significant predictor of disability status (OR = 3.8; 95% CI, 1.6-8.8). Thus, an unconfirmed diagnosis of bipolar disorder was significantly associated with receiving disability benefits.

Clinical characteristics of depressed outpatients previously overdiagnosed with bipolar disorder

The diagnosis of bipolar disorder in depressed patients requires the ascertainment of prior episodes of mania and hypomania. Several research reports and commentaries have suggested that bipolar disorder is underrecognized and that many patients with nonbipolar major depressive disorder have, in fact, bipolar disorder. In a previous article from the Rhode Island Methods to Improve Diagnostic Assessment and Services (MIDAS) project, we reported the opposite phenomenon-that bipolar disorder is often overdiagnosed in psychiatric outpatients. An important question that has not been previously examined is whether there is a particular clinical or demographic profile associated with bipolar disorder overdiagnosis among depressed patients. Forty psychiatric outpatients with current major depressive disorder reported having been previously diagnosed with bipolar disorder, which was not confirmed when interviewed with the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (SCID). Psychiatric diagnoses, clinical and demographic variables were compared in these 40 patients and 233 depressed patients who were not diagnosed with bipolar disorder. Patients were interviewed by a highly trained diagnostic rater who administered the SCID for DSM-IV Axis I disorders, the Structured Interview for DSM-IV Personality for DSM-IV Axis II disorders, and the Schedule for Affective Disorders and Schizophrenia for clinical features of depression. The depressed patients who were overdiagnosed with bipolar disorder were diagnosed with a significantly higher number of Axis I disorders and were more likely to be diagnosed with specific phobia, posttraumatic stress disorder, and drug abuse/dependence. The patients overdiagnosed with bipolar disorder were also significantly more likely to be diagnosed with a current personality disorder and were more chronically ill with greater psychosocial impairment. Thus, the results suggest that depressed outpatients who had previously been overdiagnosed with bipolar disorder were more chronically and severely ill than depressed outpatients who had not been overdiagnosed.

Performance of the mood disorders questionnaire in a psychiatric outpatient setting

OBJECTIVES

The Mood Disorders Questionnaire (MDQ) has been the most widely studied screening questionnaire for bipolar disorder, though few studies have examined its performance in a heterogeneous sample of psychiatric outpatients. In the present report from the Rhode Island Methods to Improve Diagnostic Assessment and Services (MIDAS) project, we examined the operating characteristics of the MDQ in a large sample of psychiatric outpatients presenting for treatment.

METHODS

A total of 534 psychiatric outpatients were interviewed with the Structured Clinical Interview for DSM-IV and asked to complete the MDQ. Missing data on the MDQ reduced the number of patients to 480, 10.4% (n = 52) of whom were diagnosed with bipolar disorder.

RESULTS

Based on the scoring guidelines recommended by the developers of the MDQ, the sensitivity of the scale was only 63.5% for the entire group of bipolar patients. The specificity of the scale was 84.8%, and the positive and negative predictive values were 33.7% and 95.0%, respectively. When impairment was not required to define a case on the MDQ, then sensitivity increased to 75.0%, specificity dropped to 78.5%, positive predictive value was 29.8%, and negative predictive value was 96.3%.

CONCLUSIONS

In a large sample of psychiatric outpatients, we found that the MDQ, when scored according to the developers' recommendations, had inadequate sensitivity as a screening measure. After the threshold to determine MDQ caseness was lowered by not requiring moderate or severe impairment, the sensitivity of the scale increased, but specificity decreased, and positive predictive value remained below 30%. These results raise questions regarding the MDQ's utility in routine clinical practice.

Epidemiology and management of anxiety in patients with bipolar disorder

Epidemiological and clinical studies have reported a high prevalence of anxiety symptoms in bipolar disorder, either in manic or depressive episodes, although these symptoms do not always meet criteria for a specific anxiety disorder. In addition to anxiety symptoms, bipolar disorder frequently presents with co-morbid axis I conditions, with anxiety disorders being the most common co-morbidity. Therefore, the objective of this article is to review clinical and epidemiological studies that have investigated the association between bipolar disorder and anxiety. Available data on the efficacy of treatments for bipolar disorder and co-morbid anxiety disorders are also reviewed. Existing guidelines do recognize that co-morbid anxiety has a negative impact on the course and outcome of bipolar disorder; however, there have been very few double-blind, controlled trials examining the treatment response of patients with bipolar disorder and co-occurring anxiety disorders. There is some positive evidence for quetiapine, olanzapine in combination with fluoxetine or lithium, and lamotrigine with lithium, and negative evidence for risperidone. Other therapies used for bipolar disorder, including several mood stabilizers, antidepressants, atypical antipsychotics and benzodiazepines, have been shown to reduce anxiety symptoms, but specific data for their effects in patients with anxiety symptoms co-morbid with bipolar disorder are not available. The co-occurrence of anxiety and bipolar disorder has implications for diagnosis, clinical outcome, treatment and prognosis. Careful screening for co-morbid anxiety symptoms and disorders is warranted when diagnosing and treating patients with bipolar disorder.

Bipolar Disorder: an impossible diagnosis

Following the recent debates on the discrepancy between the predominant weight of bipolar disorder (BPD) in the clinical reality and its relatively low prevalence figures emerging from epidemiological surveys, the present paper contends the ability of current operational diagnostic system to properly detect the clinical entity of bipolar disorder.

As an episode of mania/hypomania is the necessary requirement for a diagnosis of bipolar disorder to be made, in this editorial we maintain that: a) the most severe forms of mania, characterized by cloudy consciousness, mood incongruent delusions, and physical symptoms are likely to escape DSM IV criteria, that are shaped around hypomania or mild mania; b) the impossibility to diagnose mania when this occurs during antidepressant treatments impedes diagnosing those cases whose natural illness pattern is Depression followed by Mania (known as DMI pattern); c) given that approximately 50% of cases have their onset of BPD with affective episodes other than mania/hypomania any prevalence figure necessarily underestimates BPD; d) the sub-threshold forms of BPD, well described in the concept of Bipolar Spectrum, are beyond the possibility to be recognized using operational diagnoses in spite of their utmost clinical relevance.

Classification of mood disorders in DSM-V and DSM-VI

For any diagnostic system to be clinically useful, and go beyond description, it must provide an understanding that informs about aetiology and/or outcome. DSM-III and DSM-IV have provided reliability; the challenge for DSM-V and DSM-VI will be to provide validity. For DSM-V this will not be achieved. Believers in DSM-III and DSM-IV have impeded progress towards a valid classification system, so DSM-V needs to retain continuity with its predecessors to retain reliability and enhance research, but position itself to inform a valid diagnostic system by DSM-VI. This review examines the features of a diagnostic system and summarizes what is really known about mood disorders. The review also questions whether what are called mood disorders are primarily disorders of mood. Finally, it provides suggestions for DSM-VI.

Validity and utility of bipolar spectrum models

The bipolar spectrum model suggests that several patient presentations not currently recognized by the DSM warrant consideration as part of a mood disorders continuum. These include hypomania or mania associated with antidepressants; manic symptoms which fall short of the current DSM threshold for hypomania; and depression attended by multiple non-manic markers that are associated with bipolar course. Evidence supporting the inclusion of these groups within the realm of bipolar disorder (BP) is examined. Several diagnostic tools for detecting and characterizing these patient groups are described. Finally, options for altering DSM-IV criteria to allow some of the above patient presentations to be recognized as bipolar are considered. More data on the validity and utility of these alterations would be useful, but limited changes appear warranted now. We describe an additional BP Not Otherwise Specified (BP NOS) example which creates a subthreshold hypomanic analogue to cyclothymia, consistent with existing BP NOS criteria. This change should be accompanied by additional requirements for the assessment and reporting of non-manic bipolar markers.

The public health aspects of bipolar disorder in children and adolescents

Bipolar disorder in children and adolescents is a major public health problem associated with significant functional impairment. Similar to adults with bipolar disorder, children and adolescents are at increased risk for substance-related disorders, weight problems, and impaired social support systems. Substance-related problems complicate treatment course. They often follow the onset of bipolar disorder; thus, the opportunity for prevention and/or early intervention exists. Evidence supports an association between mood disorders and weight gain. Psychotropic agents to treat bipolar disorder, particularly some second-generation antipsychotics, may be associated with weight gain. Obesity is associated with worse outcomes in bipolar disorder, so prevention of weight gain is clinically important. Environmental factors may contribute to relapse, so interventions to optimize social support systems are being evaluated. Pediatric bipolar disorder requires comprehensive management to achieve optimal outcome. Further research to study modifiable factors that contribute to its morbidity and chronicity is needed.

Bipolar (spectrum) disorder and mood stabilization: standing at the crossroads?

Diagnosis and treatment of bipolar disorder has long been a neglected discipline. Recent years have shown an upsurge in bipolar research. When compared to major depressive disorder, bipolar research still remains limited and more expert based than evidence based. In bipolar diagnosis the focus is shifting from classic mania to bipolar depression and hypomania. There is a search for bipolar signatures in symptoms and course of major depressive episodes. The criteria for hypomania are softened, leading to a bipolar prevalence that now equals that of major depressive disorder. Anti-epileptics and atypical antipsychotics have joined lithium in the treatment of bipolar disorder. Fortunately, mood stabilization has become the core issue in bipolar disorder treatment. In contrast with recent trends in the diagnosis of bipolar disorder, treatment research remains more focused on classic mania than depression or hypomania. This leaves the clinician with the difficult task of diagnosing 'new bipolar patients' for whom no definite evidence-based treatment is available. An important efficacy-effectiveness gap further compromises the translation of the evidence base on bipolar disorder treatment into clinical practice. The recent upsurge of research on bipolar disorder is to be applauded, but further research is needed: for bipolar disorder in general, and for bipolar depression and the long-term treatment specifically. Given the complexity of the disorder and the many clinical uncertainties, effectiveness studies should be installed.

Anxiety comorbidity and quality of life in bipolar disorder patients

OBJECTIVE

To assess the impact of anxiety comorbidity on the quality of life of patients with bipolar disorder (BD).

METHODS

We undertook a cross-Sectional survey of 162 BD outpatients interviewed with the Structured Clinical Interview for DSM-IV. The primary outcome measure was quality of life, assessed with the 26-item WHO Quality of Life Instrument (WHOQOL-BREF).

RESULTS

Anxiety comorbidity in BD patients was associated with lower scores in all domains of quality of life. The impact of anxiety comorbidity on the psychological domain of the WHOQOL-BREF was kept, even when the current level of depression was added to the model as a confounding factor. Current anxiety comorbidity was also associated with lifetime alcohol abuse and dependence, rapid cycling, lifetime psychosis, number of suicide attempts, and a lower score in the Global Assessment of Functioning measure.

CONCLUSION

Our findings suggest that anxiety comorbidity in BD patients is related to lower quality of life, particularly on the psychological domain. BD-anxiety comorbidity may be associated with such markers of illness severity as number of suicide attempts, rapid cycling, lifetime alcohol abuse, and psychosis. The recognition and treatment of anxiety comorbidity may help patients with BD to relieve their psychological pain and improve their overall quality of life.

Affective instability as rapid cycling: theoretical and clinical implications for borderline personality and bipolar spectrum disorders

OBJECTIVES

The Diagnostic and Statistical Manual of Mental Disorders guidelines provide only a partial solution to the nosology and treatment of bipolar disorder in that disorders with common symptoms and biological correlates may be categorized separately because of superficial differences related to behavior, life history, and temperament. The relationship is explored between extremely rapid switching forms of bipolar disorder, in which manic and depressive symptoms are either mixed or switch rapidly, and forms of borderline personality disorder in which affective lability is a prominent symptom.

METHODS

A MedLine search was conducted of articles that focused on rapid cycling in bipolar disorder, emphasizing recent publications (2001-2004).

RESULTS

Studies examined here suggest a number of points of phenomenological and biological overlap between the affective lability criterion of borderline personality disorder and the extremely rapid cycling bipolar disorders. We propose a model for the development of 'borderline' behaviors on the basis of unstable mood states that sheds light on how the psychological and somatic interventions may be aimed at 'breaking the cycle' of borderline personality disorder development. A review of pharmacologic studies suggests that anticonvulsants may have similar stabilizing effects in both borderline personality disorder and rapid cycling bipolar disorder.

CONCLUSIONS

The same mechanism may drive both the rapid mood switching in some forms of bipolar disorder and the affective instability of borderline personality disorder and may even be rooted in the same genetic etiology. While continued clinical investigation of the use of anticonvulsants in borderline personality disorder is needed, anticonvulsants may be useful in the treatment of this condition, combined with appropriate psychotherapy.

Quetiapine in patients with borderline personality disorder and psychosis: a case series

Objective Atypical antipsychotics appear to be effective and well tolerated in the treatment of borderline personality disorder. One such agent, quetiapine ("Seroquel"), has a favourable side-effect profile and may be of value in acute and chronic treatment of this disorder. Methods In this case series, 12 outpatients with psychotic disorders meeting ICD-10, DSM-IV and DIB-R criteria for borderline personality disorder were treated with quetiapine monotherapy 300-750 mg/day. The CGI-S and the GAS assessed changes in symptom severity and global functioning, whereas the BIS, the HAM-D and the SCL-90-IX scales assessed change of psychotic symptoms and/or borderline personality disorder core symptomatology over time. Patients were evaluated at baseline and at 4 and 12 weeks after treatment. Statistical analyses included Page's trend test and Wilcoxon tests. Results All patients completed the 12-week study. The mean quetiapine dose was 537.5±18.9 mg/day. For all efficacy measures (with the exception of HAM-D), significant improvements were observed as early as Week 4 (P<0.01) and at endpoint (P<0.05). Conclusion Quetiapine relieved symptoms of psychosis, reduced impulsivity or depressed mood and improved global functioning in patients with borderline personality disorder and psychosis. Quetiapine was well tolerated.

[Anxiety disorders comorbidity in bipolar disorder]

High comorbidity between bipolar and anxiety disorders is frequently described in epidemiological and clinical studies. This association has important implications for diagnoses, clinical outcome, therapeutic intervention and prognoses of bipolar disorder that are presented in this review.

Bipolar II disorder: an overview of recent developments

OBJECTIVE

Recent research on the epidemiology, clinical course, diagnosis, and treatment of bipolar II disorder (BD II) stands to have a considerable impact on clinical practice. This paper reviews these developments.

METHOD

We conducted a Pubmed search, focusing on the period from January 1, 1994, to August 31, 2004. Articles deemed directly relevant to the epidemiology, course, diagnosis, and management of BD II were considered.

RESULTS

The prevalence of BD II is likely higher than previously suggested. Systematic probing for particular clinical features and use of screening tools allow for a more timely and accurate detection of the disorder. There is a paucity of good quality data to guide clinicians treating BD II.

CONCLUSION

Significant progress has been made in clarifying diagnostic and treatment issues in BD II. Neither strong nor broad treatment recommendations can be made; a cautious interpretation of available data suggests that lithium or lamotrigine are fairly reasonable first-line choices. More well-designed studies with larger samples are needed to improve the evidence base for managing this disorder.