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

Preliminary results from the Australian Genetics of Bipolar Disorder Study: A nation-wide cohort

OBJECTIVE

The Australian Genetics of Bipolar Disorder Study is a nation-wide cohort of adults living with bipolar disorder. The study aims to detect the relationships between genetic risk, symptom severity, and the lifetime prevalence of bipolar disorder, treatment response and medication side effects, and patterns and costs of health care usage.

METHODS

A total of 6682 participants (68.3% female; aged 44.8 ± 13.6 years [range = 18-90]) were recruited in three waves: a nation-wide media campaign, a mail-out based on prescriptions for lithium carbonate and through the Australian Genetics of Depression Study. Participants completed a self-report questionnaire. A total of 4706 (70%) participants provided a saliva sample and were genotyped and 5506 (82%) consented to record linkage of their Pharmaceutical and Medicare Benefits Schedule data.

RESULTS

Most participants were living with bipolar I disorder (n = 4068) while 1622 participants were living with bipolar II disorder and 992 with sub-threshold bipolar disorder. The mean age of bipolar disorder diagnosis was 32.7 ± 11.6 years but was younger in bipolar I (p = 2.0E-26) and females (p = 5.7E-23). Excluding depression with onset prior to bipolar disorder diagnosis, 64.5% of participants reported one or more co-occurring psychiatric disorders: most commonly generalised anxiety disorder (43.5%) and posttraumatic stress disorder (20.7%). Adverse drug reactions were common and resulted in discontinuation rates ranging from 33.4% for lithium to 63.0% for carbamazepine.

CONCLUSION

Our findings highlight the high rate of comorbidities and adverse drug reactions among adults living with bipolar disorder in the general Australian population. Future genomic analyses focus on identifying genetic variants influencing pharmacotherapy treatment response and side effects.

Genetic examination of the Mood Disorder Questionnaire and its relationship with bipolar disorder

The Mood Disorder Questionnaire (MDQ) is a common screening tool for bipolar disorder that assesses manic symptoms. Its utility for genetic studies of mania or bipolar traits has not been fully examined. We psychometrically compared the MDQ to self-reported bipolar disorder in participants from the United Kingdom National Institute of Health and Care Research Mental Health BioResource. We conducted genome-wide association studies of manic symptom quantitative traits and symptom subgroups, derived from the MDQ items (N = 11,568-19,859). We calculated genetic correlations with bipolar disorder and other psychiatric and behavioral traits. The MDQ screener showed low positive predictive value (0.29) for self-reported bipolar disorder. Neither concurrent nor lifetime manic symptoms were genetically correlated with bipolar disorder. Lifetime manic symptoms had a highest genetic correlation (rg  = 1.0) with posttraumatic stress disorder although this was not confirmed by within-cohort phenotypic correlations (rp  = 0.41). Other significant genetic correlations included attention deficit hyperactivity disorder (rg  = 0.69), insomnia (rg  = 0.55), and major depressive disorder (rg  = 0.42). Our study adds to existing literature questioning the MDQ's validity and suggests it may capture symptoms of general distress or psychopathology, rather than hypomania/mania specifically, in at-risk populations.

Clinicodemographic correlates of psychotic features in bipolar disorder - a multicenter study in China

BACKGROUND

Psychotic symptoms are prevalent in patients with bipolar disorder (BD). However, nearly all previous studies on differences in sociodemographic and clinical factors between patients with (BD P +) and without (BD P-) psychotic symptoms were conducted in Western populations, and limited information is known in China.

METHOD

A total of 555 patients with BD from seven centers across China were recruited. A standardized procedure was used to collect patients' sociodemographic and clinical characteristics. The patients were divided into BD P + or BD P- groups based on the presence of lifetime psychotic symptoms. Mann-Whitney U test or chi-square test was used to analyze differences in sociodemographic and clinical factors between patients with BD P + and BD P-. Multiple logistic regression analysis was conducted to explore factors that were independently correlated with psychotic symptoms in BD. All the above analyses were re-conducted after the patients were divided into BD I and BD II group according to their types of diagnosis.

RESULTS

A total of 35 patients refused to participate, and the remaining 520 patients were included in the analyses. Compared with patients with BD P-, those with BD P + were more likely to be diagnosed with BD I and mania/hypomania/mixed polarity in the first mood episode. Moreover, they were more likely to be misdiagnosed as schizophrenia than major depressive disorder, were hospitalized more often, used antidepressants less frequently, and used more antipsychotics and mood stabilizers. Multivariate analyses revealed that diagnosis of BD I, more frequent misdiagnosis as schizophrenia and other mental disorders, less frequent misdiagnosis as major depressive disorder, more frequent lifetime suicidal behavior, more frequent hospitalizations, less frequent use of antidepressants, more frequent use of antipsychotics and mood stabilizers were independently correlated with psychotic symptoms in BD. After dividing the patients into BD I and BD II groups, we observed notable differences in sociodemographic and clinical factors, as well as clinicodemographic correlates of psychotic features between the two groups.

CONCLUSIONS

Differences in clinical factors between patients with BD P + and BD P- showed cross-cultural consistency, but results on the clinicodemographic correlates of psychotic features were not. Notable differences between patients with BD I and BD II were found. Future work exploring the psychotic features of BD needs to take types of diagnosis and cultural differences into consideration.

TRIAL REGISTRATION

This study was first registered on the website of the ClinicalTrials.gov ( https://clinicaltrials.gov/ ) on 18/01/2013. Its registration number is NCT01770704.

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

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

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

BACKGROUND

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

AIM

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

METHODS

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

RESULTS

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

CONCLUSION

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

Long-term work disability due to type I and II bipolar disorder: findings of a six-year prospective study

Background

Bipolar disorder (BD) is one of the leading causes of disability worldwide. However, the prevalence and predictors of long-term work disability among patients with type I and II BD have scarcely been studied. We investigated the clinical predictors of long-term work disability among patients with BD.

Methods

The Jorvi Bipolar Study (JoBS) is a naturalistic prospective cohort study (n = 191) of adult psychiatric in- and out-patients with DSM-IV type I and II BD in three Finnish cities. Within JoBS we examined the prevalence and predictors of disability pension being granted during a six-year follow-up of the 152 patients in the labor force at baseline and collected information on granted pensions from national registers. We determined the predictors of disability pension using logistic regression models.

Results

Over the 6 years, 44% of the patients belonging to the labor force at baseline were granted a disability pension. Older age; type I BD; comorbidity with generalized anxiety disorder, post-traumatic stress disorder or avoidant personality disorder; and duration of time with depressive or mixed symptoms predicted disability pensions. Including disability pensions granted before baseline increased their total prevalence to 55.5%. The observed predictors were similar.

Conclusion

This regionally representative long-term prospective study found that about half of patients with type I or II bipolar disorder suffer from persistent work disability that leads to disability pension. In addition to the severity of the clinical course and type I bipolar disorder, the longitudinal accumulation of time depressed, psychiatric comorbidity, and older age predicted pensioning.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40345-022-00264-6.

White Matter Hyperintensities after Five-Year Follow-Up and a Cross-Sectional FA Decrease in Bipolar I and Major Depressive Patients

INTRODUCTION

An increase in brain white matter hyperintensities (WMHs) and a decrease in white matter fractional anisotrophy (FA) have been detected in bipolar I (BPI), II (BPII), and major depressive disorder (MDD) patients. Their relationship, and differences in diagnostic groups are obscure. Longitudinal studies are rare.

OBJECTIVE

After 5-year follow-up, we evaluated WMHs in BPI, BPII, and MDD patients as compared with controls, and studied the effects of clinical variables. We also explored the associations of clinical variables with cross-sectional whole brain FA.

METHODS

Eight BPI, 8 BPII, 6 MDD patients, and 19 controls participated in magnetic resonance imaging at baseline and follow-up. Diffusion weighted imaging was included at follow-up. WMHs were rated by the Coffey scale, and a tract-based spatial statistics method was used for diffusion data. The general linear model, ANOVA, Fisher's exact, Wilcoxon sign, and Kruskal-Wallis tests were used for statistical analyses.

RESULTS

Periventricular WMHs were increased in BPI patients (p = 0.047) and associated with the duration of disorder and lifetime occurrence of substance use disorder (p = 0.018). FA decrease was found in the corpus callosum of BPI patients (p < 0.01). MDD patients showed FA decrease in the right cerebellar middle peduncle (RCMP) (p < 0.01). In BPI patients, the duration of disorder associated with FA increase in RCMP (p < 0.05). No FA decrease was detected in patients with WMHs as compared with those without.

CONCLUSIONS

Preceding illness burden associated modestly with WMHs, and FA increase in RCMP in BPI patients. MDD patients had FA decrease in RCMP. No association with FA decrease and WMHs was found.

High incidence of PTSD diagnosis and trauma-related symptoms in a trauma exposed bipolar I and II sample

BACKGROUND

Post-traumatic stress disorder (PTSD) is an established comorbidity in Bipolar Disorder (BD), but little is known about the characteristics of psychological trauma beyond a PTSD diagnosis and differences in trauma symptoms between BD-I and BD-II.

OBJECTIVE

(1) To present characteristics of a trauma-exposed BD sample; (2) to investigate prevalence and trauma symptom profile across BD-I and BD-II; (3) to assess the impact of a lifetime PTSD diagnosis vs. a history of trauma on BD course; and (4) to research the impacts of sexual and physical abuse.

METHODS

This multi-center study comprised 79 adult participants with BD with a history of psychological trauma and reports baseline data from a trial registered in Clinical Trials (https://clinicaltrials.gov; ref: NCT02634372). Clinical variables were gathered through clinical interview, validated scales and a review of case notes.

RESULTS

The majority (80.8%) of our sample had experienced a relevant stressful life event prior to onset of BD, over half of our sample 51.9% had a lifetime diagnosis of PTSD according to the Clinician Administered PTSD scale. The mean Impact of Event Scale-Revised scores indicated high levels of trauma-related distress across the sample, including clinical symptoms in the PTSD group and subsyndromal symptoms in the non-PTSD group. Levels of dissociation were not higher than normative values for BD. A PTSD diagnosis (vs. a history of trauma) was associated with psychotic symptoms [2(1) = 5.404, p = 0.02] but not with other indicators of BD clinical severity. There was no significant difference between BD-I and BD-II in terms of lifetime PTSD diagnosis or trauma symptom profile. Sexual abuse significantly predicted rapid cycling [2(1) = 4.15, p = 0.042], while physical abuse was not significantly associated with any clinical indicator of severity.

CONCLUSION

Trauma load in BD is marked with a lack of difference in trauma profile between BD-I and BD-II. Although PTSD and sexual abuse may have a negative impact on BD course, in many indicators of BD severity there is no significant difference between PTSD and subsyndromal trauma symptoms. Our results support further research to clarify the role of subsyndromic PTSD symptoms, and highlight the importance of screening for trauma in BD patients.

Testing the contiguity of the sleep and fatigue relationship: a daily diary study

STUDY OBJECTIVES

There is mixed evidence for the relationship between poor sleep and daytime fatigue, and some have suggested that fatigue is simply caused by lack of sleep. Although retrospective measures of insomnia and fatigue tend to correlate, other studies fail to demonstrate a link between objectively disturbed sleep and fatigue. The current study prospectively explored the relationship between sleep and fatigue among those with and without insomnia disorder.

METHODS

Participants meeting Research Diagnostic Criteria for insomnia disorder (n = 33) or normal sleepers (n = 32) completed the Consensus Sleep Diary (CSD) and daily fatigue ratings for 2 weeks. Baseline questionnaires evaluated cognitive factors including unhelpful beliefs about sleep and rumination about fatigue. Hierarchical linear modeling tested the within- and between-participant relationships between sleep quality, total sleep time, and daily fatigue ratings. Mediation analyses tested if cognitive factors mediated the relationship between insomnia and fatigue.

RESULTS

Self-reported nightly sleep quality significantly predicted subsequent daily fatigue ratings. Total sleep time was a significant predictor of fatigue within, but not between, participants. Unhelpful sleep beliefs and rumination about fatigue mediated the relationship between insomnia and fatigue reporting.

CONCLUSIONS

The results suggest that perception of sleep plays an important role in predicting reports of daytime fatigue. These findings could be used in treatment to help shift the focus away from total sleep times, and instead, focus on challenging maladaptive sleep-related cognitions to change fatigue perception.

Psychotic symptoms during bipolar depressive episodes and suicidal ideation

BACKGROUND

Psychotic symptoms during bipolar depressive episodes, especially in outpatients, are under recognized and studied by clinicians and researchers. We examined the relationship between psychotic symptoms during a depressive episode and suicidal ideation in bipolar patients.

METHODS

Participants (N = 351) were adult, depressed outpatients with bipolar disorder (BD) in a comparative effectiveness study of quetiapine versus lithium. Psychotic symptoms were assessed via Bipolar Inventory of Signs and Symptoms Scale (BISS) and depressive episodes via Mini-International Neuropsychiatric Interview (MINI). Because only 4.84% (N = 17) endorsed psychotic symptoms, we performed iterative multivariate matching with non-psychotic participants. On every matched population, a multiple regression analysis examined whether psychotic symptoms were associated with suicidal ideation, via the Concise Health Risk Taking scale (CHRT-12).

RESULTS

Averaged across the 50 matched populations, current psychotic symptoms predicted active suicidal ideation on the CHRT, but not a passive propensity toward suicide or total CHRT scores, after adjusting for common correlates of suicidality (e.g., previous suicidal behavior) (β=0.59, p=.01, R2= 0.41).

LIMITATIONS

Our study was limited by three factors. First, the generalizability of our study was limited as the sample included only outpatients. Next, the analysis was cross-sectional and does not allow for causal interpretation. Lastly, our study lacked information regarding the content and mood congruency of participants' psychosis.

CONCLUSION

While a small proportion of BD outpatients had current symptoms of psychosis during their depressive episode, those who did were more likely to endorse active suicidal thoughts, including suicide methods and plans.

Diagnostic conversion from unipolar depression to bipolar disorder, schizophrenia, or schizoaffective disorder: A nationwide prospective 15-year register study on 43 495 inpatients

OBJECTIVE

To examine temporal patterns and predictors for diagnostic conversion from unipolar depression (UD) to bipolar disorder (BD), schizophrenia, and schizoaffective disorder (SAD).

METHODS

A prospective nationwide register-based cohort (n = 43 495) of all first psychiatric hospitalizations due to UD during 1996-2011 was followed up to 15 years. We used cumulative incidence function (CIF) analyses and the Fine-Gray subdistribution model to define the cumulative incidence of the conversions and subdistribution hazard ratios (SHRs) for predictors.

RESULTS

The overall 15-year cumulative incidence of conversion was 11.1% (95% CI 10.7-11.6): 7.4% (95% CI 7.0-7.8) for BD, 2.5% (95% CI 2.3-2.7) for schizophrenia, and 1.3% (95% CI 1.1-1.4) for SAD. The highest crude incidence rate emerged during the first year. Psychotic depression predicted higher conversion risk to BD (SHR = 2.0, 95% CI 1.5-2.7), schizophrenia (SHR = 5.3, 95% CI 3.3-8.7), and SAD (SHR = 10.6, 95% CI 4.0-28.4) than mild depression. Female sex, greater overall disturbance, and comorbid personality disorder predicted conversion to BD, whereas young age and male sex to psychotic disorders.

CONCLUSIONS

Among patients with first hospitalization due to UD, approximately one in nine converts to another major psychiatric disorder during 15 years, with the highest risk occurring within the first year. Patients with psychotic depression are particularly vulnerable for conversion to other major psychiatric disorders. Conversion to psychotic disorders occurs earlier than to BD. Males are at higher risk for progression to psychotic disorders, whereas females, patients with recurrent depressive episodes, severe disturbance of overall functioning, and personality disorder are at higher risk for converting to BD.

Reviewing the diagnostic validity and utility of mixed depression (depressive mixed states)

Objective

To review the diagnostic validity and utility of mixed depression, i.e. co-occurrence of depression and manic/hypomanic symptoms.

Methods

PubMed search of all English-language papers published between January 1966 and December 2006 using and cross-listing key words: bipolar disorder, mixed states, criteria, utility, validation, gender, temperament, depression-mixed states, mixed depression, depressive mixed state/s, dysphoric hypomania, mixed hypomania, mixed/dysphoric mania, agitated depression, anxiety disorders, neuroimaging, pathophysiology, and genetics. A manual review of paper reference lists was also conducted.

Results

By classic diagnostic validators, the diagnostic validity of categorically-defined mixed depression (i.e. at least 2–3 manic/hypomanic symptoms) is mainly supported by family history (the current strongest diagnostic validator). Its diagnostic utility is supported by treatment response (negative effects of antidepressants). A dimensionally-defined mixed depression is instead supported by a non-bi-modal distribution of its intradepression manic/hypomanic symptoms.

Discussion

Categorically-defined mixed depression may have some diagnostic validity (family history is the current strongest validator). Its diagnostic utility seems supported by treatment response.

Temperament, character and personality disorders

Objective

To study, whether temperament and character remain stable over time and whether they differ between patients with and without personality disorder (PD) and between patients with specific PDs.

Methods

Patients with (n = 225) or without (n = 285) PD from Jorvi Bipolar Study, Vantaa Depression Study (VDS) and Vantaa Primary Care Depression Study were interviewed at baseline and at 18 months, and in the VDS also at 5 years. A general population comparison group (n = 264) was surveyed by mail.

Results

Compared with non-PD patients, PD patients scored lower on self-directedness and cooperativeness. Cluster B and C PDs associated with high Novelty Seeking and Harm Avoidance, respectively. In logistic regression models, sensitivity and specificity of Temperament and Character Inventory (TCI) dimensions for presence of any PD were 53% and 75%, and for specific PDs from 11% to 41% and from 92% to 100%, respectively. The 18-month test-retest correlations of TCI-R dimensions ranged from 0.58 to 0.82.

Conclusions

Medium-term temporal stability of TCI in a clinical population appears good. Character scores differ markedly between PD and non-PD patients, whereas temperament scores differ only somewhat between the specific PDs. However, the TCI dimensions capture only a portion of the differences between PD and non-PD patients.

Mediating role of borderline personality disorder traits in the effects of childhood maltreatment on suicidal behaviour among mood disorder patients

Background:

Substantial evidence supports an association between childhood maltreatment and suicidal behaviour. However, few studies have examined factors mediating this relationship among patients with unipolar or bipolar mood disorders.

Methods:

Depressive disorder and bipolar disorder (ICD-10-DCR) patients (n = 287) from the Helsinki University Psychiatric Consortium (HUPC) Study were surveyed on self-reported childhood experiences, current depressive symptoms, borderline personality disorder traits, and lifetime suicidal behaviour. Psychiatric records served to complement the information on suicide attempts. We examined by formal mediation analyses whether (1) the effect of childhood maltreatment on suicidal behaviour is mediated through borderline personality disorder traits and (2) the mediation effect differs between lifetime suicidal ideation and lifetime suicide attempts.

Results:

The impact of childhood maltreatment in multivariate models on either lifetime suicidal ideation or lifetime suicide attempts showed comparable total effects. In formal mediation analyses, borderline personality disorder traits mediated all of the total effect of childhood maltreatment on lifetime suicide attempts, but only one fifth of the total effect on lifetime suicidal ideation. The mediation effect was stronger for lifetime suicide attempts than for lifetime suicidal ideation (P = 0.002) and independent of current depressive symptoms.

Conclusions:

The mechanisms of the effect of childhood maltreatment on suicidal ideation versus suicide attempts may diverge among psychiatric patients with mood disorders. Borderline personality disorder traits may contribute to these mechanisms, although the influence appears considerably stronger for suicide attempts than for suicidal ideation.

Level of functioning, perceived work ability, and work status among psychiatric patients with major mental disorders

Background:

Major mental disorders are highly disabling conditions that result in substantial socioeconomic burden. Subjective and objective measures of functioning or ability to work, their concordance, or risk factors for them may differ between disorders.

Methods:

Self-reported level of functioning, perceived work ability, and current work status were evaluated among psychiatric care patients with schizophrenia or schizoaffective disorder (SSA, n = 113), bipolar disorder (BD, n = 99), or depressive disorder (DD, n = 188) within the Helsinki University Psychiatric Consortium Study. Correlates of functional impairment, subjective work disability, and occupational status were investigated using regression analysis.

Results:

DD patients reported the highest and SSA patients the lowest perceived functional impairment. Depressive symptoms in all diagnostic groups and anxiety in SSA and BD groups were significantly associated with disability. Only 5.3% of SSA patients versus 29.3% or 33.0% of BD or DD patients, respectively, were currently working. About half of all patients reported subjective work disability. Objective work status and perceived disability correlated strongly among BD and DD patients, but not among SSA patients. Work status was associated with number of hospitalizations, and perceived work disability with current depressive symptoms.

Conclusions:

Psychiatric care patients commonly end up outside the labour force. However, while among patients with mood disorders objective and subjective indicators of ability to work are largely concordant, among those with schizophrenia or schizoaffective disorder they are commonly contradictory. Among all groups, perceived functional impairment and work disability are coloured by current depressive symptoms, but objective work status reflects illness course, particularly preceding psychiatric hospitalizations.

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

BACKGROUND

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

METHODS

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

RESULTS

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

LIMITATIONS

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

CONCLUSIONS

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

Do Suicide Attempts of Mood Disorder Patients Directly Increase the Risk for a Reattempt?

Background: Preceding suicide attempts strongly predict future suicidal acts. However, whether attempting suicide per se increases the risk remains undetermined. We longitudinally investigated among patients with mood disorders whether after a suicide attempt future attempts occur during milder depressive states, indicating a possible lowered threshold for acting. Methods: We used 5-year follow-up data from 581 patients of the Jorvi Bipolar Study, Vantaa Depression Study, and Vantaa Primary Care Depression Study cohorts. Lifetime suicide attempts were investigated at baseline and during the follow-up. At follow-up interviews, life-chart data on the course of the mood disorder were generated and suicide attempts timed. By using individual-level data and multilevel modeling, we investigated at each incident attempt the association between the lifetime ordinal number of the attempt and the major depressive episode (MDE) status (full MDE, partial remission, or remission). Results: A total of 197 suicide attempts occurred among 90 patients, most during MDEs. When the dependencies between observations and individual liabilities were modeled, no association was found between the number of past suicide attempts at the time of each attempt and partial remissions. No association between adjusted inter-suicide attempt times and the number of past attempts emerged during follow-up. No indication for direct risk-increasing effects was found. Conclusion: Among mood disorder patients, repeated suicide attempts do not tend to occur during milder depressive states than in the preceding attempts. Previous suicide attempts may indicate underlying diathesis, future risk being principally set by the course of the disorder itself.

Features of borderline personality disorder as a mediator of the relation between childhood traumatic experiences and psychosis-like experiences in patients with mood disorder

Background

Psychosis-like experiences (PEs) are common in patients with non-psychotic disorders. Several factors predict reporting of PEs in mood disorders, including mood-associated cognitive biases, anxiety and features of borderline personality disorder (BPD). Childhood traumatic experiences (CEs), often reported by patients with BPD, are an important risk factor for mental disorders. We hypothesized that features of BPD may mediate the relationship between CEs and PEs. In this study, we investigated the relationships between self-reported PEs, CEs and features of BPD in patients with mood disorders.

Methods

As part of the Helsinki University Psychiatric Consortium study, McLean Screening Instrument (MSI), Community Assessment of Psychic Experiences (CAPE-42) and Trauma and Distress Scale (TADS) were filled in by patients with mood disorders (n = 282) in psychiatric care. Correlation coefficients between total scores of scales and their dimensions were estimated, multiple regression and mediation analyses were conducted.

Results

Total scores of MSI correlated strongly with scores of the CAPE-42 dimension “frequency of positive symptoms” (rho = 0.56; p ≤ 0.001) and moderately with scores of TADS (rho = 0.4; p ≤ 0.001). Total score of MSI and its dimension “cognitive symptoms”, including identity disturbance, distrustfulness and dissociative symptoms, fully mediated the relation between TADS and CAPE-42. Each cognitive symptom showed a partial mediating role (dissociative symptoms 43% (CI = 25–74%); identity disturbance 40% (CI = 30-73%); distrustfulness 18% (CI = 12-50%)).

Conclusions

Self-reported cognitive-perceptual symptoms of BPD fully mediate, while affective, behavioural and interpersonal symptoms only partially mediate the relationships between CEs and PEs. Recognition of co-morbid features of BPD in patients with mood disorders reporting PEs is essential.

Clinical course predicts long-term outcomes in bipolar disorder

BACKGROUND

The long-term outcomes of bipolar disorder range from lasting remission to chronic course or frequent recurrences requiring admissions. The distinction between bipolar I and II disorders has limited utility in outcome prediction. It is unclear to what extent the clinical course of bipolar disorder predicts long-term outcomes.

METHODS

A representative sample of 191 individuals diagnosed with bipolar I or II disorder was recruited and followed for up to 5 years using a life-chart method. We previously described the clinical course over the first 18 months with dimensional course characteristics and latent classes. Now we test if these course characteristics predict long-term outcomes, including time ill (time with any mood symptoms) and hospital admissions over a second non-overlapping follow-up period in 111 individuals with available data from both 18 months and 5 years follow-ups.

RESULTS

Dimensional course characteristics from the first 18 months prospectively predicted outcomes over the following 3.5 years. The proportion of time depressed, the severity of depressive symptoms and the proportion of time manic predicted more time ill. The proportion of time manic, the severity of manic symptoms and depression-to-mania switching predicted a greater likelihood of hospital admissions. All predictions remained significant after controlling for age, sex and bipolar I v. II disorder.

CONCLUSIONS

Differential associations with long-term outcomes suggest that course characteristics may facilitate care planning with greater predictive validity than established types of bipolar disorders. A clinical course dominated by depressive symptoms predicts a greater proportion of time ill. A clinical course characterized by manic episodes predicts hospital admissions.

Specificity in Etiology of Subtypes of Bipolar Disorder: Evidence From a Swedish Population-Based Family Study

BACKGROUND

Uncertainty remains whether bipolar I disorder (BDI) and bipolar II disorder (BDII) differ etiologically. We used a population-based family sample to examine the etiological boundaries between BDI and BDII by assessing their familial aggregation/coaggregation and by assessing the coaggregation between them and schizophrenia, depression, attention-deficit/hyperactivity disorder, eating disorders, autism spectrum disorder, substance use disorders, anxiety disorders, and personality disorders.

METHODS

By linking Swedish national registers, we established a population-based cohort (N = 15,685,511) and identified relatives with different biological relationships. Odds ratios (ORs) were used to measure the relative risk of BDI and BDII in relatives of individuals diagnosed with BDI (n = 4309) and BDII (n = 4178). The heritability for BDI and BDII and the genetic correlation across psychiatric disorders were estimated by variance decomposition analysis.

RESULTS

Compared with the general population, the OR of BDI was 17.0 (95% confidence interval [CI] 13.1-22.0) in first-degree relatives of BDI patients, higher than that of BDII patients (OR 9.8, 95% CI 7.7-12.5). The ORs of BDII were 13.6 (95% CI 10.2-18.2) in first-degree relatives of BDII patients and 9.8 (95% CI 7.7-12.4) in relatives of BDI patients. The heritabilities for BDI and BDII were estimated at 57% (95% CI 32%-79%) and 46% (95% CI 21%-67%), respectively, with a genetic correlation estimated as 0.78 (95% CI 0.36-1.00). The familial coaggregation of other psychiatric disorders, in particular schizophrenia, showed different patterns for BDI and BDII.

CONCLUSIONS

Our results suggest a distinction between BDI and BDII in etiology, partly due to genetic differences.

Self-reported treatment adherence among psychiatric in- and outpatients

BACKGROUND

Poor adherence to psychiatric treatment is a common clinical problem, leading to unfavourable treatment outcome and increased healthcare costs.

AIM

The aim of this study was to investigate the self-reported adherence and attitudes to outpatient visits and pharmacotherapy in specialized care psychiatric patients.

METHODS

Within the Helsinki University Psychiatric Consortium (HUPC) pilot study, in- and outpatients with schizophrenia or schizoaffective disorder (SSA, n  =  113), bipolar disorder (BD, n  =  99), or depressive disorder (DD, n  =  188) were surveyed about their adherence and attitudes towards outpatient visits and pharmacotherapy. Correlates of self-reported adherence to outpatient and drug treatment were investigated using regression analysis.

RESULTS

The majority (78.5%) of patients reported having attended outpatient visits regularly or only partly irregularly. Most patients (79.2%) also reported regular use of pharmacotherapy. Self-reported non-adherence to preceding outpatient visits was consistently and significantly more common among inpatients than outpatients across all diagnostic groups (p < .001). Across all groups, hospital setting was the strongest independent correlate of poor adherence to outpatient visits (SSA β = -2.418, BD β = -3.417, DD β = -2.766; p < .001 in all). Another independent correlate of non-adherence was substance use disorder (SSA β = -1.555, p = .001; BD β = -1.535, p = .006; DD β = -2.258, p < .000). No other socio-demographic or clinical factor was significantly associated with poor adherence in multivariate regression models.

CONCLUSIONS

Irrespective of diagnosis, self-reported adherence to outpatient care among patients with schizophrenia or schizoaffective disorder, bipolar disorder, and depression is associated strongly with two factors: hospital setting and substance use disorders. Thus, detection of adherence problems among former inpatients and recognition and treatment of substance misuse are important to ensure proper outpatient care.

At-risk symptoms of bipolar disorder in a university student cohort

To assess the occurrence and frequency of bipolar at-risk symptoms in a large sample of previously undiagnosed students using the new screening tool Bochumer Screeningbogen Bipolar (BSB). 2329 students of the Ruhr-University Bochum, Germany completed online demographic data as well as various self-rating questionnaires (BSB; Hypomania Checklist 32; Altman Self-Rating Mania Scale; Beck Depression Inventory). Within the student cohort (64.4% female, mean age 24.3 years) every fifth student currently suffered from moderate to severe depressive symptoms; every sixth student had already thought about suicide and every other student reported a history of mood swings. The most frequently reported depressive symptoms included physical exhaustion, depressed mood, and tiredness. The most frequently reported (hypo)manic symptoms included physical agitation, feeling extremely energetic, and lack of concentration. The BSB showed good convergent validity with other established questionnaires capturing depressive or (hypo)manic symptoms, as well as a stable administration of underlying constructs. The BSB correlated significantly with the already established applied questionnaires. The predictive power of the BSB regarding the development of bipolar disorder cannot be correctly quantified at present. The further purpose of this exploratory web-based study should be to examine the validity of the presented measures in a longitudinal design.

Clinical correlates of acute bipolar depressive episode with psychosis

BACKGROUND

Psychotic bipolar depressive episodes remain remarkably understudied despite being common and having a significant impact on bipolar disorder. The aim of this study is to identify the characteristics of depressed bipolar patients with current psychosis compared to those without psychosis.

METHODS

We used baseline data of a comparative effectiveness study of lithium and quetiapine for bipolar disorder (the Bipolar CHOICE study) to compare demographic, clinical, and functioning variables between those with and without psychotic symptoms. Of the 482 participants, 303 (62.9%) were eligible for the present study by meeting DSM-IV criteria for an acute bipolar depressive episode. Univariate analyses were conducted first, and then included in a model controlling for symptom severity.

RESULTS

The sample was composed mostly of women (60.7%) and the mean age was 39.5±12.1 years. Psychosis was present in 10.6% (n=32) of the depressed patients. Psychotic patients had less education, lower income, and were more frequently single and unemployed. Psychosis was also associated with a more severe depressive episode, higher suicidality, more comorbid conditions and worse functioning. Most group differences disappeared when controlling for depression severity.

LIMITATIONS

Only outpatients were included and the presence of psychosis in previous episodes was not assessed.

CONCLUSION

Psychosis during bipolar depressive episodes is present even in an outpatient sample. Psychotic, depressed patients have worse illness outcomes, but future research is necessary to confirm if these outcomes are only associated with the severity of the disorder or if some of them are independent of it.

Psychoactive substance use in specialized psychiatric care patients

Objective Life expectancy of psychiatric patients is markedly shorter compared to the general population, likely partly due to smoking or misuse of other substances. We investigated prevalence and correlates of substance use among psychiatric patients. Methods Within the Helsinki University Psychiatric Consortium Study, data were collected on substance use (alcohol, smoking, and illicit drugs) among patients with schizophrenia or schizoaffective disorder (n = 113), bipolar (n = 99), or depressive disorder (n = 188). Clinical diagnoses of substance use were recorded, and information on smoking, hazardous alcohol use, or misuse of other substances was obtained using questionnaires. Results One-fourth (27.7%) of the patients had clinical diagnoses of substance use disorders. In addition, in the Alcohol Use Disorders Identification Test, 43.1% had hazardous alcohol use and 38.4% were daily smokers. All substance use was more common in men than in women. Bipolar patients had the highest prevalence of alcohol use disorders and hazardous use, whereas those with schizophrenia or schizoaffective disorder were more often daily smokers. In regression analyses, self-reported alcohol consumption was associated with symptoms of anxiety and borderline personality disorder and low conscientiousness. No associations emerged for smoking. Conclusions The vast majority of psychiatric care patients have a diagnosed substance use disorder, hazardous alcohol use, or smoke daily, males more often than females. Bipolar patients have the highest rates of alcohol misuse, schizophrenia or schizoaffective disorder patients of smoking. Alcohol use may associate with symptoms of anxiety, borderline personality disorder, and low conscientiousness. Preventive and treatment efforts specifically targeted at harmful substance use among psychiatric patients are necessary.

Lifetime presence of psychotic symptoms in bipolar disorder is associated with less favorable socio-demographic and certain clinical features

BACKGROUND

The presence of psychotic symptoms in bipolar disorder (BD) is considered a feature of higher severity of illness and, in particular, of manic episodes in bipolar I disorder (BD I). However, the possibility to apply the "with psychotic features" specifier to major depressive episodes in either bipolar II disorder (BD II) or BD I highlights the need for additional research in this area.

METHODS

The present study assessed the lifetime presence of psychotic symptoms and related socio-demographic and clinical features in a large sample of BD patients (N=360), with (BDPs, N=207) and without a lifetime history of psychosis (BDNPs, N=153).

RESULTS

An overall less favorable socio-demographic profile was observed in BDPs vs BDNPs. In terms of clinical variables, BDPs vs BDNPs had: earlier age at onset (27.7±10.5 vs 30.1±12.3years; p=0.02), higher rates of BD I diagnosis (95.7% vs 45.8%; p<0.001), more elevated (manic/hypomanic/mixed) polarity of first (55.2% vs 24.4%; p<0.001) and most recent episode (69.8% vs 35.6%; p<0.001), more comorbid alcohol/substance use disorder (38.1% vs 21.9%; p=0.002), more lifetime hospitalizations (3.8±6.1 vs 2±3; p=0.002) and involuntary commitments (1±1.9 vs 0.1±0.4; p<0.001), more history of psychosocial rehabilitation (17.9% vs 5.7%; p=0.001), more current antipsychotic use (90.1% vs 70.9%; p<0.001), and lower GAF (62.3±14.2 vs 69.3±12.5; p<0.001), but shorter duration of most recent episode (34.1±45.4 vs 50.3±65.7days; p=0.04), lower rates of comorbid anxiety disorders (23.9% vs 38.2%; p=0.005), and antidepressant use (19.4% vs 56.6%; p<0.001).

CONCLUSIONS

The present findings indicate an overall worse profile of socio-demographic and certain clinical characteristics associated with the lifetime presence of psychotic symptoms in bipolar patients.

Relationships between self-reported childhood traumatic experiences, attachment style, neuroticism and features of borderline personality disorders in patients with mood disorders

BACKGROUND

Co-occurring borderline personality disorder (BPD) features have a marked impact on treatment of patients with mood disorders. Overall, high neuroticism, childhood traumatic experiences (TEs) and insecure attachment are plausible aetiological factors for BPD. However, their relationship with BPD features specifically among patients with mood disorders remains unclear. We investigated these relationships among unipolar and bipolar mood disorder patients.

METHODS

As part of the Helsinki University Psychiatric Consortium study, the McLean Screening Instrument (MSI), the Experiences in Close Relationships-Revised (ECR-R), the Short Five (S5) and the Trauma and Distress Scale (TADS) were filled in by patients with mood disorders (n=282) in psychiatric care. Correlation coefficients between total scores of scales and their dimensions were estimated, and multivariate regression (MRA) and mediation analyses were conducted.

RESULTS

Spearman's correlations were strong (rho=0.58; p<0.001) between total scores of MSI and S5 Neuroticism and moderate (rho=0.42; p<0.001) between MSI and TADS as well as between MSI and ECR-R Attachment Anxiety. In MRA, young age, S5 Neuroticism and TADS predicted scores of MSI (p<0.001). ECR-R Attachment Anxiety mediated 33% (CI=17-53%) of the relationships between TADS and MSI.

LIMITATIONS

Cross-sectional questionnaire study.

CONCLUSIONS

We found moderately strong correlations between self-reported BPD features and concurrent high neuroticism, reported childhood traumatic experiences and Attachment Anxiety also among patients with mood disorders. Independent predictors for BPD features include young age, frequency of childhood traumatic experiences and high neuroticism. Insecure attachment may partially mediate the relationship between childhood traumatic experiences and borderline features among mood disorder patients.

Self-reported psychosis-like experiences in patients with mood disorders

BACKGROUND

Self-reported psychosis-like experiences (PEs) may be common in patients with mood disorders, but their clinical correlates are not well known. We investigated their prevalence and relationships with self-reported symptoms of depression, mania, anxiety, borderline (BPD) and schizotypal (SPD) personality disorders among psychiatric patients with mood disorders.

METHODS

The Community Assessment of Psychic Experiences (CAPE-42), Mood Disorder Questionnaire (MDQ), McLean Screening Instrument (MSI), The Beck Depressive Inventory (BDI), Overall Anxiety Severity and Impairment Scale (OASIS) and Schizotypal Personality Questionnaire-Brief form (SPQ-B) were filled in by patients with mood disorders (n=282) from specialized care. Correlation coefficients between total scores and individual items of CAPE-42 and BDI, SPQ-B, MSI and MDQ were estimated. Hierarchical multivariate regression analysis was conducted to examine factors influencing the frequency of self-reported PE.

RESULTS

PEs are common in patients with mood disorders. The "frequency of positive symptoms" score of CAPE-42 correlated strongly with total score of SPQ-B (rho=0.63; P<0.001) and moderately with total scores of BDI, MDQ, OASIS and MSI (rho varied from 0.37 to 0.56; P<0.001). Individual items of CAPE-42 correlated moderately with specific items of BDI, MDQ, SPQ-B and MSI (r_φ varied from 0.2 to 0.5; P<0.001). Symptoms of anxiety, mania or hypomania and BPD were significant predictors of the "frequency of positive symptoms" score of CAPE-42.

CONCLUSIONS

Several, state- and trait-related factors may underlie self-reported PEs among mood disorder patients. These include cognitive-perceptual distortions of SPD; distrustfulness, identity disturbance, dissociative and affective symptoms of BPD; and cognitive biases related to depressive or manic symptoms.

Incidence and predictors of suicide attempts in bipolar I and II disorders: A 5-year follow-up study

OBJECTIVES

Few long-term studies on bipolar disorder (BD) have investigated the incidence and risk factors of suicide attempts (SAs) specifically related to illness phases. We examined the incidence of SAs during different phases of BD in a long-term prospective cohort of bipolar I (BD-I) and bipolar II (BD-II) patients, and risk factors specifically for SAs during major depressive episodes (MDEs).

METHODS

In the Jorvi Bipolar Study (JoBS), 191 BD-I and BD-II patients were followed using life-chart methodology. Prospective information on SAs of 177 patients (92.7%) during different illness phases was available up to 5 years. The incidence of SAs and their predictors were investigated using logistic and Poisson regression models. Analyses of risk factors for SAs occurring during MDEs were conducted using two-level random-intercept logistic regression models.

RESULTS

During the 5 years of follow-up, 90 SAs per 718 patient-years occurred. The incidence was highest, over 120-fold higher than in euthymia, during mixed states (765/1000 person-years; 95% confidence interval [CI] 461-1269 person-years), and also very high in MDEs, almost 60-fold higher than in euthymia (354/1000 person-years; 95% CI 277-451 person-years). For risk of SAs during MDEs, the duration of MDEs, severity of depression, and cluster C personality disorders were significant predictors.

CONCLUSIONS

We confirmed in this long-term study that the highest incidences of SAs occur in mixed and major depressive illness phases. The variations in incidence rates between euthymia and illness phases were remarkably large, suggesting that the question "when" rather than "who" may be more relevant for suicide risk in BD. However, risk during MDEs is likely also influenced by personality factors.

Effect of lamotrigine in the treatment of bipolar depression with psychotic features: a case report

BACKGROUND

Major depressive episodes with psychotic features are more common in bipolar disorder than in major depressive disorder; however, there is little information on the optimal treatment for bipolar depression with psychotic features.

CASE PRESENTATION

The patient was a 69-year-old man. At the age of 66, he was admitted to the hospital for the treatment of bipolar depression with psychotic features. He was treated with a combination therapy of antipsychotics and antidepressants during long-term hospitalization. At the age of 69, he relapsed and was admitted to the hospital again. He was initially treated with olanzapine and lithium for the treatment of bipolar depression with psychotic features. He partially responded to the combination therapy, and psychomotor retardation and delusion of guilt disappeared; however, he developed psychomotor agitation and delusion of persecution, which was a mood-incongruent psychotic feature. Finally, he fully recovered with an additional dosage of lamotrigine, and had no experience of relapse after discontinuation of olanzapine.

CONCLUSIONS

This case report implicates the utility of lamotrigine for bipolar depression with psychotic features, and further studies are needed to establish the optimal treatment.

Prevalence of comorbid bipolar and substance use disorders in clinical settings, 1990-2015: Systematic review and meta-analysis

BACKGROUND

Comorbidity between substance use disorders (SUDs) and bipolar disorder (BD) is highly prevalent to the extent it may almost be regarded the norm. This systematic review and meta-analysis aimed to estimate the prevalence rates of SUDs in treatment seeking patients diagnosed with BD in both inpatient and outpatient settings.

METHODS

A comprehensive literature search of Medline, EMBASE, psychINFO and CINAHL databases was conducted from 1990 to 2015. Prevalence of co-morbid SUDs and BD were extracted and odds ratios (ORs) were calculated using random effects meta-analysis.

RESULTS

There were 151 articles identified by electronic searches that yielded 22 large, multi-site studies and 56 individual studies describing comorbid rates of SUDs amongst community dwelling, BD inpatients or outpatients. The SUDs with the highest prevalence in BD were alcohol use (42%) followed by cannabis use (20%) and other illicit drug use (17%). Meta-analysis showed males had higher lifetime risks of SUDs compared to females. BD and comorbid SUDS were associated with earlier age of onset and slightly more hospitalisations than non-users.

LIMITATIONS

The results do not take into account the possibility that individuals may have more than one comorbid disorder, such as having more than one SUD, anxiety disorder, or other combination. Some of the meta-analyses were based on relatively few studies with high rates of heterogeneity. Most included studies were cross-sectional and therefore causality cannot be inferred.

CONCLUSIONS

This systematic review shows comorbidity between SUDs and bipolar illness is highly prevalent in hospital and community-based samples. The prevalence of SUDs was similar in patients with bipolar I and bipolar II disorders. This study adds to the literature demonstrating that SUDs are common in BD and reinforces the need to provide better interventions and properly conducted treatment trials to reduce the burden conferred by comorbid SUD and BD.

Incidence, characteristics and course of narrow phenotype paediatric bipolar I disorder in the British Isles

OBJECTIVE

To estimate the surveillance incidence of first-time diagnosis of narrow phenotype bipolar I disorder (NPBDI) in young people under 16 years by consultants in child and adolescent psychiatry (CCAP) in the British Isles and describe symptoms, comorbidity, associated factors, management strategies and clinical outcomes at 1-year follow-up.

METHOD

Active prospective surveillance epidemiology was utilised to ask 730 CCAP to report cases of NPBDI using the child and adolescent psychiatry surveillance system.

RESULTS

Of the 151 cases of NPBDI reported, 33 (age range 10-15.11 years) met the DSM-IV analytical case definition with 60% having had previously undiagnosed mood episodes. The minimum 12-month incidence of NPBDI in the British Isles was 0.59/100 000 (95% CI 0.41-0.84). Irritability was reported in 72% cases and comorbid conditions in 51.5% cases with 48.5% cases requiring admission to hospital. Relapses occurred in 56.67% cases during the 1-year follow-up.

CONCLUSIONS

These rates suggest that the first-time diagnosis of NPBDI in young people <16 years of age by CCAP in the British Isles is infrequent; however, the rates of relapse and admission to hospital warrant close monitoring.

Anxiety symptoms in a major mood and schizophrenia spectrum disorders

BACKGROUND

Comorbid anxiety symptoms and disorders are present in many psychiatric disorders, but methodological variations render comparisons of their frequency and intensity difficult. Furthermore, whether risk factors for comorbid anxiety symptoms are similar in patients with mood disorders and schizophrenia spectrum disorders remains unclear.

METHODS

The Overall Anxiety Severity and Impairment Scale (OASIS) was used to measure anxiety symptoms in psychiatric care patients with schizophrenia or schizoaffective disorder (SSA, n=113), bipolar disorder (BD, n=99), or depressive disorder (DD, n=188) in the Helsinki University Psychiatric Consortium Study. Bivariate correlations and multivariate linear regression models were used to examine associations of depressive symptoms, neuroticism, early psychological trauma and distress, self-efficacy, symptoms of borderline personality disorder, and attachment style with anxiety symptoms in the three diagnostic groups.

RESULTS

Frequent or constant anxiety was reported by 40.2% of SSA, 51.5% of BD, and 55.6% of DD patients; it was described as severe or extreme by 43.8%, 41.4%, and 41.2% of these patients, respectively. SSA patients were significantly less anxious (P=0.010) and less often avoided anxiety-provoking situations (P=0.009) than the other patients. In regression analyses, OASIS was associated with high neuroticism, symptoms of depression and borderline personality disorder and low self-efficacy in all patients, and with early trauma in patients with mood disorders.

CONCLUSIONS

Comorbid anxiety symptoms are ubiquitous among psychiatric patients with mood or schizophrenia spectrum disorders, and in almost half of them, reportedly severe. Anxiety symptoms appear to be strongly related to both concurrent depressive symptoms and personality characteristics, regardless of principal diagnosis.

Differences and similarities of risk factors for suicidal ideation and attempts among patients with depressive or bipolar disorders

BACKGROUND

Substantial literature exists on risk factors for suicidal behaviour. However, their comparative strength, independence and specificity for either suicidal ideation or suicide attempt(s) remain unclear.

METHODS

The Helsinki University Psychiatric Consortium (HUPC) Study surveyed 287 psychiatric care patients with ICD-10-DCR depressive or bipolar disorders about lifetime suicidal behaviour, developmental history and attachment style, personality and psychological traits, current and lifetime symptom profiles, and life events. Psychiatric records were used to confirm diagnosis and complement information on suicide attempts. Multinomial regression models predicting lifetime suicidal ideation and single or repeated suicide attempts were generated.

RESULTS

Overall, 21.6% patients had no lifetime suicidal behaviour, 33.8% had lifetime suicide ideation without attempts, and 17.1% had a single and 27.5% repeated suicide attempts. In univariate analyses, lifetime suicidal behaviour was associated with numerous factors. In multivariate models, suicidal ideation was independently predicted by younger age, severe depressive disorder, bipolar disorder type II/nos, hopelessness, and childhood physical abuse. Repeated suicide attempts were independently predicted by younger age, female sex, severe depressive disorder with or without psychotic symptoms, bipolar disorder type II/nos, alcohol use disorder, borderline personality disorder traits, and childhood physical abuse.

LIMITATIONS

Cross-sectional and retrospective study design, utilization of clinical diagnoses, and relatively low response rate.

CONCLUSIONS

Risk factors for suicidal ideation and attempts may diverge both qualitatively and in terms of dose response. When effects of risk factors from multiple domains are concurrently examined, proximal clinical characteristics remain the most robust. All risk factors cluster into the group of repeated attempters.

Personality disorders and suicide attempts in unipolar and bipolar mood disorders

BACKGROUND

Comorbid personality disorders may predispose patients with mood disorders to suicide attempts (SAs), but factors mediating this effect are not well known.

METHODS

Altogether 597 patients from three prospective cohort studies (Vantaa Depression Study, Jorvi Bipolar Study, and Vantaa Primary Care Depression Study) were interviewed at baseline, at 18 months, and in VDS and PC-VDS at 5 years. Personality disorders (PDs) at baseline, number of previous SAs, life-charted time spent in major depressive episodes (MDEs), and precise timing of SAs during follow-up were determined and investigated.

RESULTS

Overall, 219 (36.7%) patients had a total of 718 lifetime SAs; 88 (14.7%) patients had 242 SAs during the prospective follow-up. Having any PD diagnosis increased the SA rate, both lifetime and prospectively evaluated, by 90% and 102%, respectively. All PD clusters increased the rate of new SAs, although cluster C PDs more than the others. After adjusting for time spent in MDEs, only cluster C further increased the SA rate (by 52%). Mediation analyses of PD effects on prospectively ascertained SAs indicated significant mediated effects through time at risk in MDEs, but also some direct effects.

LIMITATIONS

Findings generalizable only to patients with mood disorders.

CONCLUSIONS

Among mood disorder patients, comorbid PDs increase the risk of SAs to approximately two-fold. The excess risk is mostly due to patients with comorbid PDs spending more time in depressive episodes than those without. Consequently, risk appears highest for PDs that most predispose to chronicity and recurrences. However, also direct risk-modifying effects of PDs exist.

American tertiary clinic-referred bipolar II disorder compared to bipolar I disorder: More severe in multiple ways, but less severe in a few other ways

BACKGROUND

Prevalence and relative severity of bipolar II disorder (BDII) vs. bipolar I disorder (BDI) are controversial.

METHODS

Prevalence, demographics, and illness characteristics were compared among 260 BDII and 243 BDI outpatients referred to the Stanford University BD Clinic and assessed with the Systematic Treatment Enhancement Program for Bipolar Disorder Affective Disorders Evaluation.

RESULTS

BDII vs. BDI outpatients had statistically similar prevalence (51.7% vs. 48.3%), and in multiple ways had more severe illness, having significantly more often: lifetime comorbid anxiety (70.8% vs. 58.4%) and personality (15.4% vs. 7.4%) disorders, first-degree relative with mood disorder (62.3% vs. 52.3%), at least 10 prior mood episodes (80.0% vs. 50.9%), current syndromal/subsyndromal depression (52.3% vs. 38.4%), current antidepressant use (47.3% vs. 31.3%), prior year rapid cycling (33.6% vs. 13.4%), childhood onset (26.2% vs. 16.0%), as well as earlier onset age (17.0±8.6 vs. 18.9±8.1 years), longer illness duration (19.0±13.0 vs. 16.1±13.0), and higher current Clinical Global Impression for Bipolar Disorder-Overall Severity (4.1±1.4 vs. 3.7±1.5). However, BDII vs. BDI patients significantly less often had prior psychosis (14.2% vs. 64.2%), psychiatric hospitalization (10.0% vs. 67.9%), and current prescription psychotropic use, (81.5% vs. 93.0%), and had a statistically similar rate of prior suicide attempt (29.5% vs. 32.1%).

LIMITATIONS

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

CONCLUSIONS

Further studies are warranted to determine the extent to which BDII, compared to BDI, can be more severe in multiple ways but less severe in a few other ways, and contributors to occurrence of more severe forms of BDII.

Predictors of long-term work disability among patients with type I and II bipolar disorder: a prospective 18-month follow-up study

OBJECTIVES

Bipolar disorder (BD) is one of the leading causes of disability worldwide. However, vocational ability and predictors of long-term work disability have rarely been studied among patients with BD. We investigated clinical predictors of work disability among patients with BD in psychiatric care.

METHODS

The Jorvi Bipolar Study (JoBS) is a naturalistic prospective cohort study (N = 191) representing adult (18-59 years) psychiatric inpatients and outpatients with DSM-IV bipolar I disorder (BD-I) and bipolar II disorder (BD-II) in three Finnish cities. Within the JoBS, we investigated the prevalence of disability pensions at baseline, and predictors for being granted a disability pension during an 18-month follow-up of the 151 patients in the labor force at baseline. Cox models were used to determine predictors for onset of disability pension.

RESULTS

At baseline, 21% (40/191) of the patients already had a disability pension. During the follow-up, a further 38 patients (25% of the 151 followed) were granted a new disability pension. The predictors included older age, male gender, depressive index episode, higher number of psychiatric hospitalizations, generalized anxiety disorder, avoidant personality disorder, and depressive burden during follow-up. However, the predictors differed depending on bipolar subtype, age, and gender.

CONCLUSIONS

BD-I and BD-II are associated with a major risk of long-term work disability, the proportion of patients with a disability pension rising to 41% in the medium-term follow-up of the Finnish cohort investigated in the present study. Severe clinical course, depression, comorbidities, age, and gender are likely to be the main predictors but predictors may vary depending on the subgroup.

Differences and overlap in self-reported symptoms of bipolar disorder and borderline personality disorder

Background

Differential diagnosis between bipolar disorder (BD) and borderline personality disorder (BPD) is often challenging due to some overlap in symptoms and comorbidity of disorders. We investigated correlations in self-reported symptoms of BD and BPD in screening questionnaires at the levels of both total scores and individual items and explored overlapping dimensions.

Methods

The McLean Screening Instrument (MSI) for BPD and the Mood Disorder Questionnaire (MDQ) for BD were filled in by patients with unipolar and bipolar mood disorders (n = 313) from specialized psychiatric care within a pilot study of the Helsinki University Psychiatric Consortium. Pearson's correlation coefficients between total scores and individual items of the MSI and the MDQ were estimated. Relationships between MDQ and MSI were evaluated by exploratory factor analysis (EFA).

Results

The correlation between total scores of the MDQ and MSI was moderate (r = 0.431, P < 0.001). Significant correlations were found between the MSI items of “impulsivity” and “mood instability” and all MDQ items (P < 0.01). In the EFA, the MSI “impulsivity” and “mood instability” items had significant cross-loadings (0.348 and 0.298, respectively) with the MDQ factor. The MDQ items of “irritability”, “flight of thoughts” and “distractibility” (0.280, 0.210 and 0.386, respectively) cross-loaded on the MSI factor.

Conclusions

The MDQ and MSI items of “affective instability”, “impulsivity”, “irritability”, “flight of thoughts” and “distractibility” appear to overlap in content. The other scale items are more disorder-specific, and thus, may help to distinguish BD and BPD.

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

Background

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

Methods

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

Results

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

Conclusions

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

Misdiagnosis, duration of untreated illness (DUI) and outcome in bipolar patients with psychotic symptoms: A naturalistic study

BACKGROUND

A number of data show the negative role of duration of untreated illness (DUI) on outcome in mood disorders, but no investigation has been carried out about the impact of this variable in bipolar disorder (BD) with psychotic symptoms. Clinical experience shows that many bipolar patients with psychotic symptoms receive other diagnoses and often are chronically treated with first generation antipsychotics, with the effect to reduce duration of untreated psychosis/untreated episode with psychotic symptoms (DUP), but not DUI. Purpose of the study was to define the rate of misdiagnosis and the impact of DUP/DUI on outcome of bipolar patients with psychotic symptoms.

METHOD

Clinical information (DUP, DUI, first received diagnosis) about bipolar outpatients with psychotic symptoms (N=240) were extrapolated through a retrospective review of the clinical charts, Lombardy database and, if necessary, through clinical interviews with patients and their relatives. Outcome measures included psychiatric and substance abuse comorbidity, occupational status, Global Assessment of Functioning (GAF), number of hospitalizations and of suicidal attempts, number of depressive/manic recurrences. Patients were divided in two groups according to the DUP (1 year) and DUI (8 years) median, and the groups were compared through analyses of variance (ANOVAs) for continuous variables or χ(2) tests for dichotomous ones. Multivariate analysis of variance (MANOVA) with duration of illness as covariate was then performed to eliminate the effect of this variable. Finally, binary logistic regressions were performed considering age at onset, DUI, DUP as independent variables and outcome variables as dependent ones (presence of hospitalizations/suicidal attempts, GAF scores<50, occupational status).

RESULTS

Most of patients (61.5%) received a first diagnosis different from BD with the most frequent DSM-diagnosis being delusional disorder (17.9%). Patients with longer DUP were not different in outcome measures with respect to patients with shorter DUP. Patients with a DUI >8 years presented higher number of hospitalizations (F=6.04, p=0.015), higher number of manic recurrences (F=5.25, p=0.023), higher number of depressive recurrences (F=7.13, p=0.008) and lower GAF scores (F=17.74, p<0.001). Statistical significance persisted for number of hospitalizations (p<0.001) and GAF scores (p=0.003) after MANOVA. Finally binary logistic regression showed that a longer DUI was predictive of GAF scores<50 (F=17.74, p<0.001).

DISCUSSION

More than half of bipolar patients with psychotic symptoms receive a different diagnosis at first contact with psychiatric services. DUI (but not DUP) is a predictor of outcome in bipolar patients with psychotic symptoms. This indicates that an early diagnosis and proper treatment with a mood stabilizer (or an atypical antipsychotic with mood stabilizing effects) may improve long-term outcome of these patients. In the light of the naturalistic design of the present paper, these results have to be considered as preliminary and have to be confirmed by prospective controlled studies.

Development of screening inventories for bipolar disorder at workplace: a diagnostic accuracy study

BACKGROUND

This study aimed to develop a new instrument for bipolar disorder screening, the Workplace Bipolar Inventory (WBI), and examine its efficiency as compared with Mood Disorder Questionnaire (MDQ) and Bipolar Spectrum Diagnostic Scale (BSDS) among workers on leave of the absence due to their mental health problems.

METHODS

Participants were recruited at a psychiatric outpatient clinic for return-to-work in Tokyo, Japan, during September to November 2009. 81 outpatients were recruited, 55 of whom (68%) agreed to participate in this study. Participants answered questionnaires including WBI, MDQ, BSDS, and demographic factors. Their diagnostic information according to the international statistical classification of diseases and related health problems 10th revision (ICD-10) was obtained from their attending psychiatrists. The WBI is a new self-rating 39-item questionnaire which developed with input from occupational mental health specialists and an analysis of WHO Composite International Diagnostic Interview (CIDI) items. The WBI contains 3 subtype scales: WBI-A (5 items), WBI-AB4 (9 items), and WBI-AB (39 items).

RESULTS

Reliability of these scales was moderate. In the AUC of these scales, BSDS was the best of them (0.83). In the optimal cut-off point of these scales, WBI-AB4 showed good efficiency of screening (sensitivity=0.78, specificity=0.75). Both MDQ and BSDS had high specificity, while low in sensitivity.

LIMITATIONS

The well validated diagnostic method (i.e., the structured clinical interview for DSM-IV [SCID] or CIDI) was not applied in this study.

CONCLUSIONS

The WBI, especially WBI-AB4 would be a useful workplace screening tool for workers with bipolar disorder.

Five-year outcome of bipolar I and II disorders: findings of the Jorvi Bipolar Study

OBJECTIVES

The long-term outcome of bipolar disorder (BD) has been extensively investigated. However, previous studies may be biased towards hospitalized patients with bipolar I disorder (BD-I), and generalizability to the current treatment era remains uncertain. In this naturalistic study, we followed a secondary-care cohort of patients with BD.

METHODS

In the Jorvi Bipolar Study, 191 patients with BD-I and bipolar II disorder (BD-II) were followed using a life-chart method. Interviews were conducted at six months, 18 months, and five years. Time to full remission, time to first recurrence, total time ill, their predictors, and BD-I versus BD-II differences were investigated among the 151 patients remaining in follow-up.

RESULTS

Nearly all subjects recovered from the index episode, but almost all (90%) had a recurrence, and most had multiple recurrences. The patients spent about one-third of their time in illness episodes and 15% of their time with subthreshold symptoms; half of the time they were euthymic. After controlling for confounders, no difference in time spent in depressive states between patients with BD-I and BD-II persisted. Among patients with a depressive index phase, cluster C personality disorders [hazard ratio (HR) = 0.452, p = 0.040] and higher 17-item Hamilton Depression Scale score (HR = 0.951, p = 0.022) predicted longer time to remission, whereas lifetime psychotic symptoms (HR = 2.162, p = 0.016) predicted shorter time to first recurrence.

CONCLUSIONS

Among patients with BD, chronicity as uninterrupted persistence of illness was rare, but multiple recurrences were the norm. Patients with BD spent only half of their time euthymic. Patients with BD-I and BD-II may differ little in proneness to depressive states. Severity of depression, cluster C personality disorders, and psychotic symptoms predicted outcome.

Structural invariance of General Behavior Inventory (GBI) scores in Black and White young adults

In the United States, Black and White individuals show discrepant rates of diagnosis of bipolar disorder versus schizophrenia and antisocial personality disorder, as well as disparate access to and utilization of treatment for these disorders (e.g., Alegria, Chatterji, et al., 2008; Chrishon, Anderson, Arora, & Bailey, 2012). Such diagnostic discrepancies might stem from racially related cognitive biases in clinical judgment or from racial biases in measurements of bipolar disorder. The General Behavior Inventory (GBI) is among the most well-validated and widely used measures of bipolar mood symptoms, but the psychometric properties of the GBI have been examined primarily in predominantly White samples. In this study, we used multigroup confirmatory factor analyses (CFA) to examine the invariance of GBI scores across racial groups with a nonclinical sample. Fit was acceptable for tests of configural invariance, equal factor loadings, and equal intercepts, but not invariance of residuals. Findings indicate that GBI scores provide functionally invariant measurement of mood symptoms in both Black and White samples. The use of GBI scores may contribute consistent information to clinical assessments and could potentially reduce diagnostic discrepancies and associated differences in access to and utilization of mental health services.

Post-discharge suicides of inpatients with bipolar disorder in Finland

OBJECTIVES

Suicide risk in psychiatric inpatients is known to be remarkably high after discharge. However, temporal patterns and risk factors among patients with bipolar disorder remain obscure. We investigated post-discharge temporal patterns of hazard and risk factors by type of illness phase among patients with bipolar disorder.

METHODS

Based on national registers, all discharges of patients with bipolar disorder from a psychiatric ward in Finland in 1987-2003 (n = 52,747) were identified, and each patient was followed up to post-index discharge or to suicide (n = 466). For discharges occurring in 1995-2003 (n = 35,946), factors modifying hazard of suicide during the first 120 days (n = 129) were investigated.

RESULTS

The temporal pattern of suicide risk depended on the type of illness phase, being highest but steeply declining after discharge with depression; less high and declining in mixed states; lower and relatively stable after mania. In Cox models, for post-discharge suicides (n = 65) after hospitalizations for bipolar depression (n = 9,635), the hazard ratio was 8.05 (p = 0.001) after hospitalization with a suicide attempt and 3.63 (p < 0.001) for male patients, but 0.186 (p = 0.001) for patients taking lithium. Suicides after mania (n = 28) or mixed episodes (n = 20) were predicted by male sex and preceding suicide attempts, respectively.

CONCLUSIONS

Among inpatients with bipolar disorder, suicide risk is high and related strongly to the time elapsed from discharge after hospitalizations for depressive episodes, and less strongly after hospitalizations for mixed episodes. Intra-episodic suicide attempts and male sex powerfully predict suicide risk. Lower suicide rate after hospitalizations for depression among patients prescribed lithium is consistent with a preventive effect.

Differences in incidence of suicide attempts between bipolar I and II disorders and major depressive disorder

OBJECTIVES

Whether risk of suicide attempts (SAs) differs between patients with bipolar disorder (BD) and patients with major depressive disorder (MDD) is unclear. We investigated whether cumulative risk differences are due to dissimilarities in time spent in high-risk states, incidence per unit time in high-risk states, or both.

METHODS

Incidence rates for SAs during various illness phases, based on prospective life charts, were compared between patients from the Jorvi Bipolar Study (n = 176; 18 months) and the Vantaa Depression Study (n = 249; five years). Risk factors and their interactions with diagnosis were investigated with Cox proportional hazards models.

RESULTS

By 18 months, 19.9% of patients with BD versus 9.5% of patients with MDD had attempted suicide. However, patients with BD spent 4.6% of the time in mixed episodes, and more time in major depressive episodes (MDEs) (35% versus 21%, respectively) and in subthreshold depression (39% versus 31%, respectively) than those with MDD. Compared with full remission, the combined incidence rates of SAs were 5-, 25-, and 65-fold in subthreshold depression, MDEs, and BD mixed states, respectively. Between cohorts, incidence of attempts was not different during comparable symptom states. In Cox models, hazard was elevated during MDEs and subthreshold depression, and among patients with preceding SAs, female patients, those with poor social support, and those aged < 40 years, but was unrelated to BD diagnosis.

CONCLUSIONS

The observed higher cumulative incidence of SAs among patients with BD than among those with MDD is mostly due to patients with BD spending more time in high-risk illness phases, not to differences in incidence during these phases, or to bipolarity itself. BD mixed phases contribute to differences involving very high incidence, but short duration. Diminishing the time spent in high-risk phases is crucial for prevention.

Temperament and character traits predict future burden of depression

BACKGROUND

Personality traits are associated with depressive symptoms and psychiatric disorders. Evidence for their value in predicting accumulation of future dysphoric episodes or clinical depression in long-term follow-up is limited, however.

METHODS

Within a 15-year longitudinal study of a general-population cohort (N=751), depressive symptoms were measured at four time points using Beck׳s Depression Inventory. In addition, 93 primary care patients with DSM-IV depressive disorders and 151 with bipolar disorder, diagnosed with SCID-I/P interviews, were followed for five and 1.5 years with life-chart methodology, respectively. Generalized linear regression models were used to predict future number of dysphoric episodes and total duration of major depressive episodes. Baseline personality was measured by the Temperament and Character Inventory (TCI).

RESULTS

In the general-population sample, one s.d. lower Self-directedness predicted 7.6-fold number of future dysphoric episodes; for comparison, one s.d. higher baseline depressive symptoms increased the episode rate 4.5-fold. High Harm-avoidance and low Cooperativeness also implied elevated dysphoria rates. Generally, personality traits were poor predictors of depression for specific time points, and in clinical populations. Low Persistence predicted 7.5% of the variance in the future accumulated depression in bipolar patients, however.

LIMITATIONS

Degree of recall bias in life charts, limitations of statistical power in the clinical samples, and 21-79% sample attrition (corrective imputations were performed).

CONCLUSION

TCI predicts future burden of dysphoric episodes in the general population, but is a weak predictor of depression outcome in heterogeneous clinical samples. Measures of personality appear more useful in detecting risk for depression than in clinical prediction.

Emotional facial expression processing in depression: data from behavioral and event-related potential studies

Behavioral literature investigating emotional processes in depressive populations (i.e., unipolar and bipolar depression) states that, compared to healthy controls, depressive subjects exhibit disrupted emotional processing, indexed by lower performance and/or delayed response latencies. The development of brain imaging techniques, such as functional magnetic resonance imaging (fMRI), provided the possibility to visualize the brain regions engaged in emotional processes and how they fail to interact in psychiatric diseases. However, fMRI suffers from poor temporal resolution and cognitive function involves various steps and cognitive stages (serially or in parallel) to give rise to a normal performance. Thus, the origin of a behavioral deficit may result from the alteration of a cognitive stage differently situated along the information-processing stream, outlining the importance of access to this dynamic "temporal" information. In this paper, we will illustrate, through depression, the role that should be attributed to cognitive event-related potentials (ERPs). Indeed, owing to their optimal temporal resolution, ERPs can monitor the neural processes engaged in disrupted cognitive function and provide crucial information for its treatment, training of the impaired cognitive functions and guidelines for clinicians in the choice and monitoring of appropriate medication for the patient.

Predictors of adherence to psychopharmacological and psychosocial treatment in bipolar I or II disorders - an 18-month prospective study

BACKGROUND

Poor treatment adherence among patients with bipolar disorder (BD) is a common clinical problem. However, whether adherence is mostly determined by patient characteristics or attitudes, type of treatment or treatment side-effects remains poorly known.

METHODS

The Jorvi Bipolar Study (JoBS) is a naturalistic prospective 18-month study representing psychiatric in- and outpatients with DSM-IV BD I and II in three Finnish cities. During the 18-month follow-up we investigated the continuity of, attitudes towards and adherence to various types of psychopharmacological and psychosocial treatments among 168 psychiatric in- and outpatients with BD I or II.

RESULTS

One-quarter of the patients using mood stabilizers or atypical antipsychotics discontinued medication during at least one treatment phase of the follow-up autonomously, mostly during depression. When pharmacotherapy continued, adherence was compromised in one-third. Rates of non-adherence to mood stabilizers or antipsychotics did not differ, but the predictors did. One-quarter of the patients receiving psychosocial treatments were non-adherent to them.

LIMITATIONS

Serum concentrations were not estimated.

CONCLUSIONS

More than one-half of BD patients either discontinue pharmacotherapy or use it irregularly. Autonomous discontinuation takes place mostly in depression. Although rates of non-adherence do not necessarily differ between mood-stabilizing medications, the predictors for nonadherence do. Moreover, adherence to one medication does not guarantee adherence to another, nor does adherence at one time-point ensure later adherence. Attitudes towards treatments affect adherence to medications as well as to psychosocial treatments and should be repeatedly monitored. Non-adherence to psychosocial treatment should be given more attention.

Occurrence of bipolar spectrum disorder and comorbidities in women with eating disorders

Background

Eating disorder (ED) patients often have comorbidities with other psychiatric disorders, especially with mood disorders. Although recent studies suggest an intimate relationship between ED and bipolar disorder (BD), the study on a broader bipolar spectrum definition has not been done in this population. We aimed to study the occurrence of bipolar spectrum (BS) and comorbidities in eating disorder patients of a tertiary service provider.

Methods

Sixty-nine female patients diagnosed with anorexia nervosa, bulimia nervosa, or eating disorder not otherwise specified were evaluated. The assessment comprised the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I), clinical criteria for diagnosis of the Zurich bipolar spectrum. Mann–Whitney tests compared means of continuous variables. The association between categorical variables and the groups was described using contingency tables and analyzed using the chi-square or Fisher's exact test. The level of significance alpha was set at 5%.

Results

The results showed that 68.1% of patients had comorbidity with bipolar spectrum, and this was associated with higher family income, proportion of married people, and comorbidity with substance use. The ED with BS group showed higher rates of substance use comorbidity (40.4%) than the ED without BS group (13.6%).

Discussion

These results showed that the bipolar spectrum is a common comorbidity in patients with eating disorders and is associated with correlates of clinical importance, notably the comorbidity with substance use. Due to the pattern of similarity between the groups with and without comorbid bipolar spectrum in relation to various outcomes evaluated, the identification of comorbidity can be difficult. However, the precise diagnosis and careful identification of clinical correlates may contribute to future advances in treating these conditions. Further studies are necessary to evaluate the association of other clinical correlates and its possible causal association.

White matter hyperintensities and cognitive performance in adult patients with bipolar I, bipolar II, and major depressive disorders

PURPOSE

We evaluate for the first time the associations of brain white matter hyperintensities (WMHs) on magnetic resonance imaging (MRI) with neuropsychological variables among middle-aged bipolar I (BPI), II (BPII) and major depressive disorder (MDD) patients and controls using a path model.

METHODS

Thirteen BPI, 15 BPII, 16 MDD patients, and 21 controls underwent brain MRI and a neuropsychological examination. Two experienced neuroradiologists evaluated WMHs on the MRI scans. We constructed structural equation models to test the strength of the associations between deep WMH (DWMH) grade, neuropsychological performance and diagnostic group.

RESULTS

Belonging in the BPI group as opposed to the control group predicted higher DWMH grade (coefficient estimate 1.13, P=0.012). The DWMH grade independently predicted worse performance on the Visual Span Forward test (coefficient estimate -0.48, P=0.002). Group effects of BPI and MDD were significant in predicting poorer performance on the Digit Symbol test (coefficient estimate -5.57, P=0.016 and coefficient estimate -5.66, P=0.034, respectively).

LIMITATIONS

Because of the small number of study subjects in groups, the negative results must be considered with caution.

CONCLUSIONS

Only BPI patients had an increased risk for DWMHs. DWMHs were independently associated with deficits in visual attention.