Is underdiagnosis the main pitfall when diagnosing bipolar disorder? Yes

Novel ABCD1 and MTHFSD Variants in Taiwanese Bipolar Disorder: A Genetic Association Study

Background and Objectives: In recent years, bipolar disorder (BD), a multifaceted mood disorder marked by severe episodic mood fluctuations, has been shown to have an impact on disability-adjusted life years (DALYs). The increasing prevalence of BD highlights the need for better diagnostic tools, particularly those involving genetic insights. Genetic association studies can play a crucial role in identifying variations linked to BD, shedding light on its genetic underpinnings and potential therapeutic targets. This study aimed to identify novel genetic variants associated with BD in the Taiwanese Han population and to elucidate their potential roles in disease pathogenesis. Materials and Methods: Genotyping was conducted using the Taiwan Precision Medicine Array (TPM Array) on 128 BD patients and 26,122 control subjects. Following quality control, 280,177 single nucleotide polymorphisms (SNPs) were analyzed via chi-square tests, and linkage disequilibrium (LD) analyses were employed to examine the associations among key SNPs. Results: Eleven SNPs reached significance (p < 10-5), with the variant rs11156606 in the ABCD1 gene-implicated in fatty acid metabolism-emerging as a prominent finding. LD analysis revealed that rs11156606 is strongly linked with rs73640819, located in the 3' untranslated region, suggesting a regulatory role in gene expression. Additionally, rs3829533 in the MTHFSD gene was found to be in strong LD with the missense variants rs3751800 and rs3751801, indicating potential alterations in protein function. Conclusion: These findings enhance the genetic understanding of BD within a Taiwanese cohort by identifying novel risk-associated variants and support the potential for using these markers in early diagnosis and targeted therapeutic strategies.

Mood Disorder Questionnaire Positivity in Systemic Lupus Erythematosus and Other Chronic Diseases including Screen Bipolar Disorders or Rhythm and Energy Dysregulation Syndromes (DYMERS)

Introduction

This study explores the issue of paper-and-pencil screening tests for bipolar disorder, often leading to false positives. It discusses hypotheses that connect MDQ positivity with sleep disorders, a decline in health-related quality of life, and the impact of the COVID-19 pandemic on mood disorders. The study proposes that MDQ identifies a "Dysregulation of Mood, Energy, and Social Rhythms Syndrome" (DYMERS), indicating a stress-related condition. It aims to investigate the association between MDQ positivity and systemic lupus erythematosus (SLE) in comparison to other chronic disorders.

Methods

This case-control study, conducted from April 2019 to February 2020, investigated MDQ positivity in patients with SLE. Ethical approvals were obtained, and statistical analysis was used for data assessment.

Results

This is a case-controlled study where MDQ positivity was significantly higher in systemic lupus erythematosus cases than controls. The analysis compared gender, age, and the presence of depressive episodes between MDQ-positive and MDQ-negative cases, revealing some differences but no significant variations. Interestingly, no association with high prednisone or biologics use was observed. The frequency of MDQ positivity in systemic lupus erythematosus was compared to other chronic pathologies, revealing varying associations with each condition.

Conclusion

This study reveals a high rate of (MDQ) positivity in systemic lupus erythematosus (SLE), associated with the risk of bipolar disorder in SLE. Notable discrepancies in MDQ positivity risk factors between SLE and bipolar disorder are observed. The study emphasizes the ability of MDQ to identify a distinct syndrome characterized by rhythm dysregulation, posing a risk for bipolar disorder and other disorders.

A systematic review of the literature on telepsychiatry for bipolar disorder

OBJECTIVE

Bipolar (BP) disorder is a highly morbid disorder that is often misdiagnosed or undiagnosed and affects a large number of adults and children. Due to the coronavirus disease 2019 public health emergency stay at home orders, most outpatient mental health care was provided via telepsychiatry, and the many benefits of virtual care ensure that this will continue as an ongoing practice. The main aim of this review was to investigate what is currently known about the use of telepsychiatry services in the diagnosis and treatment of BP disorder across the lifespan.

METHOD

A systematic literature review assessing the use of telepsychiatry in BP disorder was conducted in PubMed, PsychINFO, and Medline.

RESULTS

Six articles were included in the final review. All included articles assessed populations aged 17 years or older. The literature indicates that BP disorder was addressed in telepsychiatry services at a similar rate as in-person services, reliable diagnoses can be made using remote interviews, satisfaction rates are comparable to in-person services, telepsychiatry services are able to reach and impact patients with BP disorder, are sustainable, and patient outcomes can improve using a telepsychiatry intervention.

CONCLUSIONS

Given the morbidity of BP disorder, the research addressing the telepsychiatry diagnosis and treatment of BP disorder is sparse, with only emerging evidence of its reliability, effectiveness, and acceptance. There is no research assessing the safety and efficacy of telepsychiatry in pediatric populations with BP disorder. Given the morbidity associated with BP disorder at any age, further research is needed to determine how to safely and effectively incorporate telepsychiatry into clinical care for BP adult and pediatric patients.

False dogmas in mood disorders research: Towards a nomothetic network approach

The current understanding of major depressive disorder (MDD) and bipolar disorder (BD) is plagued by a cacophony of controversies as evidenced by competing schools to understand MDD/BD. The DSM/ICD taxonomies have cemented their status as the gold standard for diagnosing MDD/BD. The aim of this review is to discuss the false dogmas that reign in current MDD/BD research with respect to the new, data-driven, machine learning method to model psychiatric illness, namely nomothetic network psychiatry (NNP). This review discusses many false dogmas including: MDD/BD are mind-brain disorders that are best conceptualized using a bio-psycho-social model or mind-brain interactions; mood disorders due to medical disease are attributable to psychosocial stress or chemical imbalances; DSM/ICD are the gold standards to make the MDD/BD diagnosis; severity of illness should be measured using rating scales; clinical remission should be defined using threshold values on rating scale scores; existing diagnostic BD boundaries are too restrictive; and mood disorder spectra are the rule. In contrast, our NNP models show that MDD/BD are not mind-brain or psycho-social but systemic medical disorders; the DSM/ICD taxonomies are counterproductive; a shared core, namely the reoccurrence of illness (ROI), underpins the intertwined recurrence of depressive and manic episodes and suicidal behaviors; mood disorders should be ROI-defined; ROI mediates the effects of nitro-oxidative stress pathways and early lifetime trauma on the phenome of mood disorders; severity of illness and treatment response should be delineated using the NNP-derived causome, pathway, ROI and integrated phenome scores; and MDD and BD are the same illness.

Suicide Risk and Mood Disorders in Women in the Postpartum Period: a Longitudinal Study

Suicide associated with severe psychiatric illnesses is considered the leading cause of maternal deaths. We aimed to assess the suicide risk in women who experienced depressive or mixed episodes of mood change during the postpartum period and to determine which disorder is more related to suicide risk in the same period. We conducted a longitudinal study with 706 women whose children were born from April 2007 to May 2008 in a southern city in Brazil, and received prenatal care by the Brazilian National System of Public Health. The first assessment occurred during the prenatal period and the second within 30 to 60 days postpartum. The incidence of suicide risk was 10.9%. The odds of postpartum suicide risk were 6.50 (95% CI: 2.73; 15.48) higher in mothers with postpartum depression and 41.50 (95% CI: 12.11; 142.16) higher in those with mixed episodes than those who did not suffer from any mood disorder. Women with chronic episodes (who had depressive or mixed episodes during pregnancy and postpartum) were at increased odds of 4.94 (95% CI: 1.46; 16.69) of a postpartum suicide risk. The postpartum seems to be a critical period in the women's mental health. The impact of mental disorders in this period, especially mixed episodes, can increase the odds of a suicide risk onset. A good psychiatric evaluation and support during the prenatal and postpartum care may prevent the subsequent risk of suicide.

Bipolarity in a Collaborative Care Model Variation: Detection, Prevalence, and Outcomes

OBJECTIVE

To assess the prevalence of bipolarity and its impact on clinical course, psychiatric consultants' diagnostic impressions and respective treatment outcomes were examined for patients with depression who were treated in a collaborative care model (CoCM) of psychiatric consultation.

METHODS

Electronic records for 1,476 patients were reviewed for the presence of a mood disorder, which yielded 641 patients with complete data on several measures: the Composite International Diagnostic Interview, version 3.0 (CIDI); a questionnaire eliciting data on non-mania-related markers of bipolar disorder (family history, age of onset, course of illness, response to treatment); consultants' diagnostic impressions; and Patient Health Questionnaire-9 (PHQ-9) scores before and after consultation.

RESULTS

Of referred patients, 97% were screened for bipolar disorder. A smooth distribution of scores on the CIDI was observed. Patients were divided into four groups on the basis of their CIDI scores (≥7, positive, or <7, negative) and on the consultant's recorded Impression (positive or negative for bipolarity). Of the study sample, 21% were CIDI positive (≥7), and 35% were Impression positive (sufficient bipolarity to guide treatment recommendations). All groups demonstrated equivalent decreases in PHQ-9 scores in the 6 months since consultation, including the potentially overdiagnosed group (CIDI negative, impression positive), which comprised 22% of the study sample.

CONCLUSIONS

Universal screening for bipolarity in primary care is feasible in CoCM programs. Interpreting the data dimensionally is logical on the basis of the smooth distribution of CIDI scores. Such screening will yield high rates of bipolar disorder, much higher than previously reported. Offering treatment recommendations based on an impression of bipolarity to patients with negative CIDI results (<7) was not associated with outcomes worse than experienced by all other consultation patients. Multiple explanations of the latter finding are possible, warranting additional study.

Validity of the Mood Disorder Questionnaire (MDQ) as a screening tool for bipolar spectrum disorders in anabaptist populations

The Mood Disorder Questionnaire (MDQ) is an established screening tool for bipolar spectrum disorders (BSD), but has not been validated in diverse populations and the best scoring method remains uncertain. This study assessed diagnostic validity of the MDQ among Anabaptists, an underserved population frequently involved in genetic research. 161 participants completed the MDQ and were diagnosed by a best-estimate final diagnosis (BEFD). Diagnostic agreements between alternate MDQ scoring methods and the BEFD were quantified using Cohen's Kappa (κ), sensitivity (α), and specificity (β). Scoring criteria evaluated included >7 simultaneous symptoms and at least moderate impairment, >7 simultaneous symptoms, with at least mild impairment, >7 symptoms only, with no further requirement, and three novel scoring methods that require >5 symptoms or fewer. Diagnostic agreement varied. The original method proved most specific but had the lowest κ and sensitivity. κ increased with more liberal scoring criteria, reaching a maximum under the lower-threshold symptom methods, with little loss of specificity in the 5-symptom method. Decreasing the symptom threshold below 5 conferred little or no benefit. These results support the diagnostic validity of the MDQ among this Anabaptist sample and suggest that a 5-symptom scoring method may increase diagnostic sensitivity in populations at high risk for bipolar disorder.

Combined Measures of Psychomotor and Cognitive Alterations as a Potential Hallmark for Bipolar Depression

OBJECTIVE

The current study aimed to examine whether specific features of psychomotor retardation (PMR) and cognitive functioning established different profiles in unipolar (UD) and bipolar depression (BD).

METHODS

Two groups of age-matched patients with UD (n=54) and BD (n=20) completed the Montgomery-Asberg Depression Rating Scale (MADRS/60), the Montreal Cognitive Assessment (MoCA/30), and the Salpêtrière Retardation Rating Scale (SRRS/60). We analyzed the group effect and then performed intra-group analyses.

RESULTS

The BD patients have higher SRRS score, and lower MoCA score than UD despite no difference on the level of depression between UD and BD. Our results show that PMR can be predicted by the level of depression in UD and by the cognitive alteration and onset of disease in BD.

CONCLUSION

PMR is a relevant marker of depression. Our results highlight the importance of concomitant evaluation of psychomotor and cognitive functions in the distinction of UD and BD symptoms.

Prospective: Is bipolar disorder being overdiagnosed?

OBJECTIVES

Many studies indicate that bipolar disorders are underdiagnosed. Yet from 2007 to 2008, a series of publications asserted that bipolar disorders were being overdiagnosed. This review examines the methods used in the studies that reported bipolar disorders were being overdiagnosed.

METHODS

A literature search for studies with original data related to overdiagnosis of bipolar disorders was performed.

RESULTS

Four studies were found indicating bipolar disorders were being overdiagnosed. The Structured Clinical Interview of the Diagnostic and Statistical Manual of Mental Disorders (SCID) was used in the diagnostic process. The studies compared the clinical diagnosis of bipolar disorder to a single SCID interview without interviewing family or reviewing old records. The studies assumed the SCID diagnosis was correct.

CONCLUSIONS

Numerous concerns were found. The SCID frequently missed diagnosis of bipolar, the definitions of bipolar disorder are so narrow and conservative that the outcomes of the studies may have been predetermined. Ultimately, the studies compared the strength of a diagnosis made by a treating psychiatrist to a SCID diagnosis collected with virtually no information from the clinician. The assumption that the SCID diagnosis is always correct and the clinician is always wrong is unsupportable. The premise that bipolar disorders are being overdiagnosed is unsupported by reasonable science.

Dissociative Experience in Unipolar and Bipolar Depression: Exploring the Great Divide

Objective

Unipolar and bipolar depression (UD and BD) differ strikingly in respect to neurobiology, course and management, but their apparent clinical similarity often leads to misdiagnosis resulting in chronicity of course and treatment failure. In this study we have tried to assess whether UD and BD can be differentiated on the basis of their dissociative symptoms.

Methods

Thrty-six UD patients and 35 BD patients in active episodes, without any psychiatric comorbidity were selected from outpatient department and compared for depressive and dissociative symptoms using Hamilton Depression Rating Scale and Dissociative Experience Scale-II (DES-II).

Results

We found that thought the two groups didn’t differ in terms of the socio-demographic or clinical variables, BD group had significantly higher dissociative experience (U=343, p=0.001) than UD and the difference remained significant even after adjusting for the confounding factors.

Conclusion

Our study shows that dissociative symptoms are significantly more prevalent in the depressive episodes of bipolar affective disorder as compared to the UD and can be an important tool in differentiating between the two disorders with very similar clinical profile. The difference can be measured using a simple self-report questionnaire like DES-II.

Weighing the Risks: the Management of Bipolar Disorder During Pregnancy

PURPOSE OF REVIEW

The management of bipolar disorder during pregnancy requires difficult treatment decisions be made by both women and their clinicians. There is little consensus on management despite the high prevalence of bipolar disorder in reproductive-aged women. In this review, we have summarized the available literature and discuss the balancing of risks associated with treatment decisions.

RECENT FINDINGS

Cohort studies have shown a high relapse rate in women with bipolar disorder who discontinue mood-stabilizing medications. The risks of fetal medication exposure have been assessed in multiple database studies. Management decisions of bipolar disorder in pregnancy have been made difficult by inconsistencies in study outcomes. There were many confounding factors in the studies of medication discontinuation relapse risk. Inconsistencies in the findings of fetal risks from mood-stabilizing medications have further complicated management decisions. Larger studies are needed to clarify the risks of bipolar disorder relapse in pregnancy with and without treatment.

"Being Bipolar": A Qualitative Analysis of the Experience of Bipolar Disorder as Described in Internet Blogs

In the light of debates about the nature of bipolar disorder (BD), the current article presents a thematic analysis of Internet "blogs" by self-identified bipolar sufferers. Extreme and frequent fluctuation of mood was considered the principal feature of BD, along with a broad range of other problems. BD was often invoked as an explanation for life difficulties or lack of achievement, and was mostly regarded as a brain disease. Most bloggers emphasized the importance of drug treatment, along with the self-management techniques. The blogs present a "bipolar identity," which is much broader than traditional definitions, are based on a medicalized model of the disorder, and are connected to the moral function of enabling people to externalize unwanted aspects of the self.

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.

Seeking an objective diagnosis of depression

Major depressive disorder (MDD: unipolar depression) is widely distributed in the USA and world-wide populations and it is one of the leading causes of disability in both adolescents and adults. Traditional diagnostic approaches for MDD are based on patient interviews, which provide a subjective assessment of clinical symptoms which are frequently shared with other maladies. Reliance upon clinical assessments and patient interviews for diagnosing MDD is frequently associated with misdiagnosis and suboptimal treatment outcomes. As such, there is increasing interest in the identification of objective methods for the diagnosis of depression. Newer technologies from genomics, transcriptomics, proteomics, metabolomics and imaging are technically sophisticated and objective but their application to diagnostic tests in psychiatry is still emerging. This brief overview evaluates the technical basis for these technologies and discusses how the extension of their clinical performance can lead to an objective diagnosis of MDD.

Discriminating Between Bipolar Disorder and Major Depressive Disorder

Rates of misdiagnosis between major depressive disorder and bipolar disorder have been reported to be substantial, and the consequence of such misdiagnosis is likely to be a delay in achieving effective control of symptoms, in some cases spanning many years. Particularly in the midst of a depressive episode, or early in the illness course, it may be challenging to distinguish the 2 mood disorders purely on the basis of cross-sectional features. To date, no useful biological markers have been reliably shown to distinguish between bipolar disorder and major depressive disorder.

[Screening for bipolar disorder in primary care patients with psychological symptoms]

Objetivo

Estimar la proporción de resultados positivos en el cribado del trastorno bipolar (TB) entre los pacientes de atención primaria que consultan por problemas de naturaleza psicológica, y analizar sus características.

Diseño

Estudio descriptivo transversal multicéntrico.

Emplazamiento

Diecinueve consultas de atención primaria en diferentes comunidades autónomas.

Pacientes

La muestra estuvo formada por 360 pacientes consecutivos de atención primaria con edades entre 18 y 70 años visitados por síntomas psicológicos.

Mediciones

El cribado para TB se realizó mediante el Mood Disorders Questionnaire. Se obtuvieron datos sobre calidad de vida (EuroQol-5D), impacto funcional (Sheehan Disability Inventory) y, mediante revisión de historias clínicas, datos sobre comorbilidad psiquiátrica y consumo de psicofármacos.

Resultados

Se obtuvo una proporción de cribados positivos del 11,9% (IC 95%: 8,8-15,7%). Solo en 2 de estos pacientes estaba registrado el diagnóstico de TB, y aunque más de la mitad recibían tratamiento con antidepresivos, solo 2 recibían tratamiento con estabilizadores del estado de ánimo. El cribado positivo se asocia a peor calidad de vida, a disfunción laboral, social y familiar, y a mayor estrés percibido.

Conclusiones

El cribado del TB en pacientes de atención primaria con otros problemas psicológicos da lugar a una notable proporción de resultados positivos, lo que indica que puede haber una prevalencia relevante de pacientes con TB, la mayor parte de ellos no diagnosticados y no tratados adecuadamente. Es necesario profundizar en la investigación para determinar el eventual papel que puede o debe asumir la atención primaria en la detección, el diagnóstico o el manejo de este trastorno.

Bipolar II disorder in patients with a current diagnosis of recurrent depression

OBJECTIVES

The prevalence of bipolar II disorder (BD-II) in Russia has never been studied. Therefore, we sought to identify patients meeting diagnostic criteria for BD-II among patients with a current diagnosis of recurrent depressive disorder (RDD) through the use of the Russian versions of the Hypomania Checklist (HCL-32) and Bipolarity Index scales for differentiating between BD-II and RDD.

METHODS

In a non-interventional diagnostic study, we selected 409 patients aged between 18 and 65 years from two medical settings with (i) a current diagnosis of RDD, (ii) an illness duration of at least three years, and (iii) at least two affective episodes. The diagnosis was based on clinical assessment and confirmed by the Russian version of the Mini International Neuropsychiatric Interview. All patients were assessed by the HCL-32, the Bipolarity Index, and the Personal and Social Performance Scale.

RESULTS

Among patients with a current diagnosis of RDD, 40.8% had a diagnosis of bipolar disorder (bipolar I disorder: 4.9%; BD-II: 35.9%). The average time lag from onset to a correct diagnosis of BD-II was 15 years and patients were treated only with antidepressants. The sensitivity of the Russian version of the HCL-32 at the optimal cutoff point (≥14.0) was 83.7%, and its specificity was 71.9%. The Bipolarity Index showed significant differences between the total scores of the patients with BD-II and RDD (31.8 versus 20.2; p < 0.0001). The optimal threshold was ≥22.0 (sensitivity 73.5%; specificity 72.3%).

CONCLUSIONS

In Russia, diagnostic errors are an important cause of the non-detection of bipolar disorder, particularly BD-II. The Russian version of the HCL-32 and the Bipolarity Index, as additional tools, could be useful for bipolarity screening.

The bipolar spectrum: conceptions and misconceptions

OBJECTIVE

This review aims to address concerns about the potential overinclusiveness and vagueness of bipolar spectrum concepts, and also, concerns about the overlap between bipolar illness and borderline personality.

METHOD

Narrative review based on historical and empirical studies.

RESULTS

Bipolar disorder (BD) and major depressive disorder (MDD) came to be separate entities with the Diagnostic and Statistical Manual of Mental Disorders, Third Edition (DSM III), in contrast to the Kraepelinian manic-depressive insanity (MDI) concept, which included both. The bipolar spectrum concept is a return to this earlier Kraepelinian perspective. Further, very different features differentiate the disease of bipolar illness (family history of bipolar illness, severe recurrent mood episodes with psychomotor activation) from the clinical picture of borderline personality (dissociative symptoms, sexual trauma, parasuicidal self-harm). The term 'disorder' obfuscates an ontological difference between diseases, such as manic-depressive illness, and clinical pictures, such as hysteria/post-traumatic stress disorder/dissociation/borderline personality.

CONCLUSIONS

Bipolar spectrum concepts are historically rooted in Kraepelin's manic-depressive illness concept, are scientifically testable, and can be clearly formulated. Further, they differ in kind from traumatic/dissociative conditions in ways that can be both historically and scientifically established.

Utilization of never-medicated bipolar disorder patients towards development and validation of a peripheral biomarker profile

There are currently no biological tests that differentiate patients with bipolar disorder (BPD) from healthy controls. While there is evidence that peripheral gene expression differences between patients and controls can be utilized as biomarkers for psychiatric illness, it is unclear whether current use or residual effects of antipsychotic and mood stabilizer medication drives much of the differential transcription. We therefore tested whether expression changes in first-episode, never-medicated BPD patients, can contribute to a biological classifier that is less influenced by medication and could potentially form a practicable biomarker assay for BPD. We employed microarray technology to measure global leukocyte gene expression in first-episode (n=3) and currently medicated BPD patients (n=26), and matched healthy controls (n=25). Following an initial feature selection of the microarray data, we developed a cross-validated 10-gene model that was able to correctly predict the diagnostic group of the training sample (26 medicated patients and 12 controls), with 89% sensitivity and 75% specificity (p<0.001). The 10-gene predictor was further explored via testing on an independent cohort consisting of three pairs of monozygotic twins discordant for BPD, plus the original enrichment sample cohort (the three never-medicated BPD patients and 13 matched control subjects), and a sample of experimental replicates (n=34). 83% of the independent test sample was correctly predicted, with a sensitivity of 67% and specificity of 100% (although this result did not reach statistical significance). Additionally, 88% of sample diagnostic classes were classified correctly for both the enrichment (p=0.015) and the replicate samples (p<0.001). We have developed a peripheral gene expression biomarker profile, that can classify healthy controls from patients with BPD receiving antipsychotic or mood stabilizing medication, which has both high sensitivity and specificity. Moreover, assay of three first-episode patients who had never received such medications, to first enrich the expression dataset for disease-related genes independent of medication effects, and then to test the 10-gene predictor, validates the peripheral biomarker approach for BPD.

Duration of untreated bipolar disorder: missed opportunities on the long road to optimal treatment

OBJECTIVE

Duration of untreated illness represents a potentially modifiable component of any diagnosis-treatment pathway. In bipolar disorder (BD), this concept has rarely been systematically defined or not been applied to large clinically representative samples.

METHOD

In a well-characterized sample of 501 patients with BD, we estimated the duration of untreated bipolar disorder (DUB: the interval between the first major mood episode and first treatment with a mood stabilizer). Associations between DUB and clinical onset and the temporal sequence of key clinical milestones were examined.

RESULTS

The mean DUB was 9.6 years (SD 9.7; median 6). The median DUB for those with a hypomanic onset (14.5 years) exceeded that for depressive (13 years) and manic onset (8 years). Early onset BD cases have the longest DUB (P < 0.0001). An extended DUB was associated with more mood episodes (P < 0.0001), more suicidal behaviour (P = 0.0003) and a trend towards greater lifetime mood instability (e.g. rapid cycling, possible antidepressant-induced mania).

CONCLUSION

Duration of untreated bipolar disorder (DUB) will only be significantly reduced by more aggressive case finding strategies. Reliable diagnosis (especially for BD-II) and/or instigation of recommended treatments is currently delayed by insufficient awareness of the early, polymorphous presentations of BD, lack of systematic screening and/or failure to follow established guidelines.

Diagnosing bipolar disorder in the community setting

BACKGROUND

Bipolar disorder (BD) is a common psychiatric illness. Diagnosing this condition is challenging, due to the frequent need to make the diagnosis based on historical symptoms, the lack of specificity of many of the symptoms, and the absence of accurate objective measures to confirm the diagnosis. A lack of consensus among psychiatrists as to the breadth of the diagnosis, increasing pressures to make a diagnosis quickly in clinical settings, and the availability of broader spectrum treatments have also served to foster uncertainty in diagnosis. This article examines the process of diagnosing BD, reviews factors that can confound the diagnostic process, and discusses how the sensitivity and specificity of the diagnosis can be improved.

METHODS

A MEDLINE search and a manual search of textbooks and abstracts from scientific meetings were conducted. Results were limited to publications in English, but no timeframe limitations were used.

RESULTS

The standard for diagnosing BD remains the psychiatric interview, with laboratory, genetic, radiographic, and neuroimaging tests still investigational, and psychological tests and questionnaires serving an ancillary role. The sensitivity and specificity of the BD diagnosis is less than optimal, with the condition being both overlooked and diagnosed when it is not present.

CONCLUSIONS

Factors leading to diagnostic uncertainty and approaches to improve the sensitivity and specificity of the BD diagnosis are discussed. A paradigm for differentiating between BD and borderline personality disorder is offered.

The varieties of depressive experience: diagnosing mood disorders

Biopsychosocial eclecticism has led, the authors believe, to a simplistic acceptance of a unitary view of MDD with little scientific solidity. The authors propose a return to careful psychopathology as the basis of all nosology, which has led to identifying four main types of depressive illness, and a method-based, existential approach to understanding depression.

Unrecognised bipolar disorder in primary care patients with depression

BACKGROUND

Bipolar disorder is complex and can be difficult to diagnose. It is often misdiagnosed as recurrent major depressive disorder.

AIMS

We had three main aims. To estimate the proportion of primary care patients with a working diagnosis of unipolar depression who satisfy DSM-IV criteria for bipolar disorder. To test two screening instruments for bipolar disorder (the Hypomania Checklist (HCL-32) and Bipolar Spectrum Diagnostic Scale (BSDS)) within a primary care sample. To assess whether individuals with major depressive disorder with subthreshold manic symptoms differ from those individuals with major depressive disorder but with no or little history of manic symptoms in terms of clinical course, psychosocial functioning and quality of life.

METHOD

Two-phase screening study in primary care.

RESULTS

Three estimates of the prevalence of undiagnosed bipolar disorder were obtained: 21.6%, 9.6% and 3.3%. The HCL-32 and BSDS questionnaires had quite low positive predictive values (50.0 and 30.1% respectively). Participants with major depressive disorder and with a history of subthreshold manic symptoms differed from those participants with no or little history of manic symptoms on several clinical features and on measures of both psychosocial functioning and quality of life.

CONCLUSIONS

Between 3.3 and 21.6% of primary care patients with unipolar depression may have an undiagnosed bipolar disorder. The HCL-32 and BSDS screening questionnaires may be more useful for detecting broader definitions of bipolar disorder than DSM-IV-defined bipolar disorder. Subdiagnostic features of bipolar disorder are relatively common in primary care patients with unipolar depression and are associated with a more morbid course of illness. Future classifications of recurrent depression should include dimensional measures of bipolar symptoms.

An approach to the patient with dysregulated mood: major depression and bipolar disorder

Major depressive disorder (MDD) and bipolar disorder are chronic relapsing-remitting illnesses whose effects on mood, behavior, and thinking exact a heavy toll on patients' physical and mental health and on their capacity for satisfying relationships and employment. In the inpatient setting, these affective illnesses and their treatments can complicate the diagnosis, course, therapy, and prognosis of numerous medical conditions. In this article, the authors discuss a general approach for general internists, family practitioners, and other primary care providers to follow in caring for patients with suspected MDD or bipolar disorder.