Cost-of-illness studies for bipolar disorder: systematic review of international studies

Costs of psychotropics for outpatients with bipolar disorder in Japan; the MUSUBI 2016 survey

BACKGROUND

Although the costs of bipolar disorder (BD) treatments are associated with local and universal factors, data from non-Western countries remain limited. The associations between clinical features and costs of outpatient pharmacotherapy have not been well characterize. To estimate the costs of outpatient BD treatments and their associations with clinical features in a Japanese population, we investigated with special reference to the costs of medicines constituted the bulk of the total healthcare expense and were steadily increasing.

METHODS

The Multicenter Treatment Survey for Bipolar Disorder (MUSUBI) retrospectively evaluated 3130 patients with BD who visited 176 Japanese psychiatric outpatient clinics in 2016. Clinical features and drug prescriptions were recorded, and the total daily costs of psychotropic drug treatment were calculated. The annual medical costs related to outpatient BD treatments in Japan were estimated based on the corresponding demographics. The associations between daily medical costs and patients' clinical features were analyzed using multiple regression analysis.

RESULTS

The daily costs of psychotropic drugs ranged from zero to JPY3245 (mean, JPY349 equivalent to USD32.5) and were exponentially distributed. The annual costs for outpatients BD treatments were approximately 51.9 billion Japanese yens (519 million US dollars). Subsequent multiple regression analysis revealed that social adjustment, depressive symptoms, age, rapid cycling, psychotic symptoms, and comorbid mental disorders correlated strongly with the daily cost of psychotropic drugs.

CONCLUSION

The estimated annual costs for outpatient BD treatment in Japan were equivalent to those in OECD countries (except for the US) and higher than those in some Asian countries. The cost of psychotropic treatments was associated with individual characteristics and psychopathological conditions.Key MessagesPsychotropic treatment for an outpatient with bipolar disorder has a daily cost approximately JPY350.The annual outpatient treatment cost for bipolar disorder in Japan was estimated to 51.9 billion Japanese yen in 2016.Individual characteristics and psychopathological conditions affected the cost of drug treatment.

Opportunities for digital health technology: identifying unmet needs for bipolar misdiagnosis and depression care management

Introduction

Digital health technologies (DHTs) driven by artificial intelligence applications, particularly those including predictive models derived with machine learning methods, have garnered substantial attention and financial investment in recent years. Yet, there is little evidence of widespread adoption and scant proof of gains in patient health outcomes. One factor of this paradox is the disconnect between DHT developers and digital health ecosystem stakeholders, which can result in developing technologies that are highly sophisticated but clinically irrelevant. Here, we aimed to uncover challenges faced by psychiatrists treating patients with major depressive disorder (MDD). Specifically, we focused on challenges psychiatrists raised about bipolar disorder (BD) misdiagnosis.

Methods

We conducted semi-structured interviews with 10 United States-based psychiatrists. We applied text and thematic analysis to the resulting interview transcripts.

Results

Three main themes emerged: (1) BD is often misdiagnosed, (2) information crucial to evaluating BD is often occluded from clinical observation, and (3) BD misdiagnosis has important treatment implications.

Discussion

Using upstream stakeholder engagement methods, we were able to identify a narrow, unforeseen, and clinically relevant problem. We propose an organizing framework for development of digital tools based upon clinician-identified unmet need.

Search for serum biomarkers in patients with bipolar disorder and major depressive disorder using metabolome analysis

Objective

Bipolar disorder (BD) and major depressive disorder (MDD) are two common psychiatric disorders. Due to the overlapping clinical symptoms and the lack of objective diagnostic biomarkers, bipolar disorder (BD) is easily misdiagnosed as major depressive disorder (MDD), which in turn affects treatment decisions and prognosis. This study aimed to investigate biomarkers that could be used to differentiate BD from MDD.

Methods

Nuclear magnetic resonance (NMR) spectroscopy was performed to assess serum metabolic profiles in depressed patients with BD (n = 59), patients with MDD (n = 14), and healthy controls (n = 10). Data was analyzed using partial least squares discriminant analysis, orthogonal partial least squares discriminant analysis and t-tests. Different metabolites (VIP > 1 and p < 0.05) were identified and further analyzed using Metabo Analyst 5.0 to identify relevant metabolic pathways.

Results

The metabolic phenotypes of the BD and MDD groups were significantly different from those of the healthy controls, and there were different metabolite differences between them. In the BD group, the levels of 3-hydroxybutyric acid, n-acetyl glycoprotein, β-glucose, pantothenic acid, mannose, glycerol, and lipids were significantly higher than those in the healthy control group, and the levels of lactate and acetoacetate were significantly lower than those in the healthy control group. In the MDD group, the levels of 3-hydroxybutyric acid, n-acetyl glycoprotein, pyruvate, choline, acetoacetic acid, and lipids were significantly higher than those of healthy controls, and the levels of acetic acid and glycerol were significantly lower than those of healthy controls.

Conclusion

Glycerolipid metabolism is significantly involved in BD and MDD. Pyruvate metabolism is significantly involved in MDD. Pyruvate, choline, and acetate may be potential biomarkers for MDD to distinguish from BD, and pantothenic acid may be a potential biomarker for BD to distinguish from MDD.

The financial situation before and after first-time psychiatric in-patient diagnosis of schizophrenia spectrum, bipolar, and major depressive disorder

Schizophrenia spectrum, bipolar, and major depressive disorders are severe mental illnesses (SMIs) that not only entail great suffering for those affected but also major societal costs. In this study, I use administrative register data to provide a detailed picture of the financial situation of people with SMI in Sweden during a period of ±10 years around first-time psychiatric in-patient diagnosis of schizophrenia spectrum, bipolar, and major depressive disorders. Receiving a diagnosis was associated with a considerable drop in earnings, which was largely compensated for by social transfers: mainly sickness and disability insurance. However, there were also large and increasing pre-diagnosis earnings gaps, relative to matched comparison groups, especially among those with schizophrenia spectrum disorders. These gaps were to a lesser extent compensated for by social transfers. Consequently, there were permanent and increasing - due to lost earnings growth - income differentials. Hence, findings in previous studies are confirmed: even in an advanced welfare state, people with SMI - especially those with schizophrenia - have an extremely weak position on the labour market and an equally difficult financial situation.

Genetic and functional analyses implicate microRNA 499A in bipolar disorder development

Bipolar disorder (BD) is a complex mood disorder with a strong genetic component. Recent studies suggest that microRNAs contribute to psychiatric disorder development. In BD, specific candidate microRNAs have been implicated, in particular miR-137, miR-499a, miR-708, miR-1908 and miR-2113. The aim of the present study was to determine the contribution of these five microRNAs to BD development. For this purpose, we performed: (i) gene-based tests of the five microRNA coding genes, using data from a large genome-wide association study of BD; (ii) gene-set analyses of predicted, brain-expressed target genes of the five microRNAs; (iii) resequencing of the five microRNA coding genes in 960 BD patients and 960 controls and (iv) in silico and functional studies for selected variants. Gene-based tests revealed a significant association with BD for MIR499A, MIR708, MIR1908 and MIR2113. Gene-set analyses revealed a significant enrichment of BD associations in the brain-expressed target genes of miR-137 and miR-499a-5p. Resequencing identified 32 distinct rare variants (minor allele frequency < 1%), all of which showed a non-significant numerical overrepresentation in BD patients compared to controls (p = 0.214). Seven rare variants were identified in the predicted stem-loop sequences of MIR499A and MIR2113. These included rs142927919 in MIR2113 (p_nom = 0.331) and rs140486571 in MIR499A (p_nom = 0.297). In silico analyses predicted that rs140486571 might alter the miR-499a secondary structure. Functional analyses showed that rs140486571 significantly affects miR-499a processing and expression. Our results suggest that MIR499A dysregulation might contribute to BD development. Further research is warranted to elucidate the contribution of the MIR499A regulated network to BD susceptibility.

Direct medical cost of bipolar disorder: Insights from the FACE-BD longitudinal cohort

BACKGROUND

Bipolar disorder (BD) is a severe chronic psychiatric disorder affecting 0.5 to 1% of the population worldwide. To date, most studies have estimated the cost of BD via information sourced from insurance claims with limited information on clinical characteristics and course of BD. The aims of this study are (i) to estimate the direct healthcare cost associated with BD and to identify contributing factors and (ii) to study the evolution of cost during a two-year follow-up period.

METHOD

We analyzed a sample of 1116 individuals with BD included in the Advanced Centers of Expertise in Bipolar Disorder cohort. We estimated the direct healthcare cost per year and per patient, and we identified the clinical features of patients with BD associated with higher direct healthcare costs. In a subsample of patients followed up for two years centers of expertise for BD, we studied the evolution of direct healthcare cost.

RESULTS

The average cost of bipolar disorder was € 6910 per year and per patient. Clinical features of BD, sociodemographic characteristics, and associated addiction were associated with higher direct healthcare costs. In the subsample of patients followed-up for two years, direct healthcare cost dropped by more than 50%, strongly suggesting the beneficial effect of specialized care organization.

LIMITATION

We did not estimate indirect healthcare and intangible costs.

CONCLUSION

Our study investigates the cost of BD and its evolution in a deeply phenotyped longitudinal sample. Cost-utility and cost-effectiveness analyses are required to inform resource allocation decisions and to promote innovative healthcare organizations.

Roles of C-reactive protein polymorphisms and life event changes on cognitive function in bipolar patients receiving valproate

Introduction

Patients with bipolar disorder (BD) exhibit an inflamed condition that is associated with metabolic disturbance and cognitive impairment. Whether inflammation, represented by C-reactive protein (CRP), is causally associated with BD and influences treatment outcome has not been established.

Methods

We examined whether CRP is a causal factor for the risk of BD in drug-naïve, depressed BD patients and investigated whether polymorphisms in CRP and life event changes influence cognitive function in BD patients receiving valproate (VPA) treatment.

Results

Our results showed that BD patients had significantly higher CRP levels and worse cognitive function than the controls, while the frequencies of CRP single nucleotide polymorphisms in BD patients and in controls were not different. In addition, the life event scale score was higher for BD patients than for controls. Furthermore, the genotypes of CRP polymorphisms and the interactions between polymorphisms of CRP and life event scale score had a significant influence on cognitive performance in BD patients after 12 weeks of VPA treatment.

Conclusion

Our study demonstrated the clinical utility of the application of functional genetics in clarifying the interactions among CRP, life event stress, and BD and suggested the important roles of CRP gene–environment interactions in developing treatment strategies for BD.

Obesity and metabolic comorbidity in bipolar disorder: do patients on lithium comprise a subgroup? A naturalistic study

BACKGROUND

Bipolar disorders (BD) are associated with increased prevalence of obesity and metabolic syndrome (MetS). Nevertheless, there is a wide range in prevalence estimates, with little known about the contributions of pharmacotherapy. It has been suggested that lithium might have a more favorable metabolic profile. We hypothesized that lithium use is associated with less increased body mass index (BMI), MetS, and type II diabetes, when compared with non-lithium users (those on anticonvulsants, second-generation antipsychotics).

METHODS

Cross-sectional study of 129 patients aged 18-85 with bipolar disorder, followed at tertiary care clinics in Montreal. Patients using lithium were compared with those not on lithium, for body mass index and metabolic syndrome.

RESULTS

The prevalence of obesity and metabolic syndrome in the sample of lithium-using patients with BD was 42.4 and 35.7% respectively, with an average BMI of 29.10 (+/- 6.70). Lithium and non-lithium groups did not differ in BMI or prevalence of MetS. However, compared to the non-lithium group, lithium users had lower hemoglobin A1C (5.24 +/- 0.53 versus 6.01 +/- 1.83, U = 753.5, p = 0.006) and lower triglycerides (1.46 +/- 0.88 versus 2.01 +/- 1.25, U = 947, p = 0.020).

CONCLUSIONS

There is a high prevalence of obesity and metabolic syndrome among patients with bipolar disorder. However, this did not appear to be associated with lithium use, when compared to those not on lithium. The lithium subgroup was also associated with lower prevalence of type II diabetes. Future prospective and intervention studies with larger sample sizes are necessary to further explore the association between lithium and insulin resistance, as well as its underlying mechanisms.

The costs of bipolar disorder in the United Kingdom

OBJECTIVES

To estimate the individual cost and population-level economic burden of Bipolar Disorder (BD), and explore the impact of clinical and sociodemographic factors on costs in the United Kingdom.

METHODS

Annual UK health care, social care and societal cost data were collected from a prospective cohort of 91 BD patients using digital monitoring of symptoms. Costs (in £) were calculated for the year of resource use collection (2010-2011) and main results inflated to year 2018-2019. A Generalized Estimating Equation framework was used to investigate individual factors influencing costs. An economic burden estimate was derived by multiplying the mean annual cost per patient with literature-based population prevalence.

RESULTS

The average annual cost of BD per patient was £12,617 (SE = ±£1085) or £14,938 (SE = ±£1281) at 2018-2019 prices with 68% of the total costs attributed to lost productivity and informal care, 31% to health care costs, 1% to private out-of-pocket expenses, and 0.5% to social care costs. A unit increase in average levels of depressive or manic symptoms were associated with 7% and 11% higher societal costs, respectively. The estimated annual prevalence of BD in the United Kingdom was 0.8% resulting in a population-level economic burden estimate of £5.1 billion for 2010-2011 or £6.43 billion for 2018-2019.

CONCLUSIONS

BD is a disease of substantial costs in the United Kingdom with the majority of the economic burden falling outside the health care system in the form of productivity losses and informal care. These costs highly correlate with patient outcomes highlighting further needs for improved treatment efforts into functionality.

Cognitive impairment and consumption of mental healthcare resources in outpatients with bipolar disorder

Cognitive dysfunction is a major predictor of functional outcomes, and loss of occupational functioning is usually linked with a higher cost of illness. However, the association between cognitive impairment and consumption of health resources has not been studied in bipolar disorder to date. This study aims to examine this relationship. This is an observational, retrospective study of a representative sample of euthymic outpatients between 18 and 55 years, fulfilling DSM 5 criteria for bipolar disorder and recruited at a catchment area in Spain. Cognitive performance was screened with the Spanish version of the Screen for Cognitive Impairment in Psychiatry (SCIP-S), and several variables of health resources consumption during the previous year were registered. A total of 72 patients were assessed. Cognitive impairment according to the SCIP-S was significantly associated with the number of scheduled clinical appointments (p < 0.005) and hospital admissions (p < 0.04) but not with other health resources consumption variables. These results need to be interpreted with caution given that neither a control group nor a comprehensive, objective neuropsychological battery were used. However, despite these limitations, this study shows that in euthymic outpatients with bipolar disorder, those with suspected cognitive impairment had consumed a higher number of health resources over the previous year. These preliminary results may foster similar studies on the relationship between mental healthcare resource use and cognitive dysfunction in bipolar disorder and other psychiatric disorders.

Time to rehospitalization in patients with bipolar mania discharged on long-acting injectable or oral antipsychotics

OBJECTIVE

This study aimed to analyze time to rehospitalization in patients with bipolar mania discharged on long-acting injectable antipsychotics (LAIs) or oral antipsychotics (OAPs). Additionally, temporal trends in LAI prescription were investigated.

METHODS

Patients with bipolar mania discharged from the study hospital on antipsychotics between 2006 and 2018 were included. Survival analysis was used to compare time to rehospitalization within one year of discharge between patients discharged on LAIs and OAPs, and between FGA-LAIs (first- generation antipsychotic) and SGA-LAIs (second-generation antipsychotic). The Cochrane-Armitage trend test was used to test whether a temporal trend existed for LAI prescription rates during the study period.

RESULTS

The LAI group (n = 224) had a significantly lower rehospitalization rate and a significantly longer time to rehospitalization than the OAP group (n = 3836). Rehospitalization rate and time to rehospitalization were not significantly different between patients discharged on FGA-LAIs or SGA-LAIs. The LAI prescription rate grew significantly from 2.20% in 2006 to 11.58% in 2018 (Z = 5.5843, p < 0.0001). The prescription rate of SGA-LAIs also increased significantly (Z = 7.7141, p < 0.0001), but not the prescription rate of FGA-LAIs.

LIMITATIONS

The treatment allocation is not randomized in this retrospective study. Furthermore, various clinical characteristics were unavailable in our analysis, such as symptom severity, functional impairment, and others.

CONCLUSIONS

LAIs were significantly superior to OAPs in reducing rehospitalization risk. However, SGA-LAIs were comparable with FGA-LAIs in reducing rehospitalization risk. Use of LAIs increased significantly in discharged patients with bipolar disorder during the study period, especially SGA-LAIs.

Real-World Patterns of Utilization and Costs Associated with Second-Generation Oral Antipsychotic Medication for the Treatment of Bipolar Disorder: A Literature Review

OBJECTIVE

Treatment with second-generation antipsychotics (SGAs) for bipolar disorder, including bipolar I disorder (BD-I), is common. This review evaluated real-world utilization patterns with oral SGAs in the United States (US) for bipolar disorder (and BD-I specifically when reported) and economic burden associated with these patterns.

METHODS

Structured, systematic searches of MEDLINE^®, EMBASE^®, and National Health Service Economic Evaluation Database identified primary research studies (published 2008-2018) describing real-world SGA use in adults with bipolar disorder/BD-I.

RESULTS

Among 769 studies screened, 39 met inclusion criteria. Most studies (72%) were analyses of commercial or Medicare/Medicaid claims databases. Patient-related (eg, demographic, comorbidities) and disease-related (eg, mania, psychosis) factors were associated with prescribed SGA. Suboptimal utilization patterns (ie, nonadherence, nonpersistence, treatment gaps, medication switching, and discontinuation) were common for patients treated with SGAs. Also common were SGAs prescribed with another psychotropic medication and SGA combination treatment (use of ≥2 SGAs concurrently). Suboptimal adherence and SGA combination treatment were both associated with increased health care resource use (HCRU); suboptimal adherence was associated with higher total direct medical and indirect costs.

LIMITATIONS

Different definitions for populations and concepts limited between-study comparisons. Focusing on SGAs limits contextualizing findings within the broader treatment landscape (eg, lithium, anticonvulsants). Given the nature of claims data, prescribing rationale (eg, acute episodes vs maintenance) and factors influencing observed utilization patterns could not be fully derived.

CONCLUSION

Despite increased use of SGAs to treat bipolar disorder over the last decade, reports of suboptimal utilization patterns of SGAs (eg, nonadherence, nonpersistence) were common as was combination treatment. Patterns of SGA use associated with additional HCRU and/or costs were suboptimal adherence and SGA combination treatment; economic consequences associated with other utilization patterns (eg, nonpersistence) were unclear. Strategies to improve SGA treatment continuity, particularly adherence, may improve clinical and economic outcomes among people living with bipolar disorder.

Bipolar disorders

Bipolar disorders are a complex group of severe and chronic disorders that includes bipolar I disorder, defined by the presence of a syndromal, manic episode, and bipolar II disorder, defined by the presence of a syndromal, hypomanic episode and a major depressive episode. Bipolar disorders substantially reduce psychosocial functioning and are associated with a loss of approximately 10-20 potential years of life. The mortality gap between populations with bipolar disorders and the general population is principally a result of excess deaths from cardiovascular disease and suicide. Bipolar disorder has a high heritability (approximately 70%). Bipolar disorders share genetic risk alleles with other mental and medical disorders. Bipolar I has a closer genetic association with schizophrenia relative to bipolar II, which has a closer genetic association with major depressive disorder. Although the pathogenesis of bipolar disorders is unknown, implicated processes include disturbances in neuronal-glial plasticity, monoaminergic signalling, inflammatory homoeostasis, cellular metabolic pathways, and mitochondrial function. The high prevalence of childhood maltreatment in people with bipolar disorders and the association between childhood maltreatment and a more complex presentation of bipolar disorder (eg, one including suicidality) highlight the role of adverse environmental exposures on the presentation of bipolar disorders. Although mania defines bipolar I disorder, depressive episodes and symptoms dominate the longitudinal course of, and disproportionately account for morbidity and mortality in, bipolar disorders. Lithium is the gold standard mood-stabilising agent for the treatment of people with bipolar disorders, and has antimanic, antidepressant, and anti-suicide effects. Although antipsychotics are effective in treating mania, few antipsychotics have proven to be effective in bipolar depression. Divalproex and carbamazepine are effective in the treatment of acute mania and lamotrigine is effective at treating and preventing bipolar depression. Antidepressants are widely prescribed for bipolar disorders despite a paucity of compelling evidence for their short-term or long-term efficacy. Moreover, antidepressant prescription in bipolar disorder is associated, in many cases, with mood destabilisation, especially during maintenance treatment. Unfortunately, effective pharmacological treatments for bipolar disorders are not universally available, particularly in low-income and middle-income countries. Targeting medical and psychiatric comorbidity, integrating adjunctive psychosocial treatments, and involving caregivers have been shown to improve health outcomes for people with bipolar disorders. The aim of this Seminar, which is intended mainly for primary care physicians, is to provide an overview of diagnostic, pathogenetic, and treatment considerations in bipolar disorders. Towards the foregoing aim, we review and synthesise evidence on the epidemiology, mechanisms, screening, and treatment of bipolar disorders.

Economic evaluations of non-pharmacological interventions and cost-of-illness studies in bipolar disorder: A systematic review

Background Bipolar disorder (BD) is associated with substantial societal burden. Therefore, economic studies in BD are becoming increasingly important. The goal of the current study is three-fold: (1) summarize the evidence regarding economic evaluations (EEs) of non-pharmacological interventions for BD, (2) summarize cost-of-illness studies (COIs) for BD published 2012 or later and (3) assess the quality of the identified studies. Methods A systematic search was conducted in MedLine, EMBASE and PsycINFO. For both EEs and COIs, quality assessments were conducted and general and methodological characteristics of the studies were extracted. Outcomes included incremental-cost-effectiveness ratios for EEs and direct and indirect costs for COIs. Results Eight EEs and ten COIs were identified. The included studies revealed high heterogeneity in general and methodological characteristics and study quality. All interventions resulted in improved clinical outcomes. Five studies additionally concluded decreased total costs. For COIs, we found a wide range of direct ($881-$27,617) and indirect cost estimates per capita per year ($1,568-$116,062). Limitations High heterogeneity in terms of interventions, study design and outcomes made it difficult to compare results across studies. Conclusions Interventions improved clinical outcomes in all studies and led to cost-savings in five studies. Findings suggest that non-pharmacological intervention for BD might be cost-effective. Studies on the costs of BD revealed that BD has a substantial economic burden. However, we also found that the number of EEs was relatively low and methodology was heterogenous and therefore encourage future research to widen the body of knowledge in this research field and use standardized methodology.

The Economic Burden of Bipolar Disorder in the United States: A Systematic Literature Review

Bipolar disorder (BD) is a mood disorder with subtypes characterized by episodes of mania, hypomania, and/or depression. BD is associated with substantial economic burden, and the bipolar I disorder (BD-I) subtype is associated with high medical costs. This review further evaluated the economic burden of BD and BD-I in the United States (US), describing health-care resource utilization (HCRU) and sources of direct medical and indirect costs. Data were obtained from systematic searches of MEDLINE^®, EMBASE^®, and National Health Service Economic Evaluation Database. Citations were screened to identify primary research studies (published 2008-2018) on the economic burden of BD/BD-I or its treatment in real-world settings. Reported costs were converted to 2018 US dollars. Of identified abstracts (N=4111), 56 studies were included. The estimated total annual national economic burden of BD/BD-I was more than $195 billion, with approximately 25% attributed to direct medical costs. Individuals with BD/BD-I used health-care services more frequently and had higher direct medical costs than matched individuals without the disease. Drivers of higher direct costs included frequent psychiatric interventions, presence of comorbid medical/psychiatric conditions, and both suboptimal medication adherence and clinical management. Indirect costs (eg, unemployment, lost work productivity for patients/caregivers) accounted for 72-80% of the national economic burden of BD/BD-I. Different definitions for study populations and cost categories limited comparisons of economic outcomes. This review builds on existing literature describing the economic burden of BD and confirmed cost drivers of BD/BD-I. Improved clinical management of BD/BD-I and associated comorbidities, together with better medication adherence, may reduce health-care costs and improve patient outcomes.

Personality Structure and Attachment in Bipolar Disorder

BACKGROUND

An impairment of self and interpersonal functioning has an impact on coping strategies, regulation of affect and stress. Little is known so far about the impairment of personality functioning in patients with bipolar disorder (BD). The aim of this study is to assess the effects of personality structure and attachment in BD patients on the symptom burden.

METHODS

Forty-six patients with the diagnosis of BD were assessed by the 12-item Operationalized Psychodynamic Diagnosis Structure Questionnaire (OPD-SQS), the short version of Experience in Close Relationship-revised (ECR-R-D), and the Brief Symptom Inventory-18 (BSI 18) to determine the level of personality functioning, attachment patterns, and symptom load.

RESULTS

We observed positive correlations between personality difficulties, insecure attachment, and symptom load in patients with BD. A low level of structural integration and an insecure attachment style in patients with BD were accompanied by a significantly higher symptom load (r = 0.66, p ≤ 0.01). Interestingly, there were no significant differences in the structural integration (T(1.44) = -0.93, p = 0.357) and in the attachment style attachment related avoidance: (T(1,44) = 1.50, p = 0.140); attachment related anxiety (T(1,44) = -0.781, p = 0.439) of study participants with BD when compared to the normative value of the general population.

LIMITATIONS

Our limitations are the small sample size of our group and the lack of a control group.

CONCLUSION

In general, our results suggest that there is a link between personality structure and affective dynamics including depressive, anxiety, and somatization symptoms in BD. These findings underline the increasing importance of assessing personality structure and attachment for diagnosis and treatment planning of BD.

Proteomic Profiling as a Diagnostic Biomarker for Discriminating Between Bipolar and Unipolar Depression

INTRODUCTION

Affective disorders are a major global burden, with approximately 15% of people worldwide suffering from some form of affective disorder. In patients experiencing their first depressive episode, in most cases it cannot be distinguished whether this is due to bipolar disorder (BD) or major depressive disorder (MDD). Valid fluid biomarkers able to discriminate between the two disorders in a clinical setting are not yet available.

MATERIAL AND METHODS

Seventy depressed patients suffering from BD (bipolar I and II subtypes) and 42 patients with major MDD were recruited and blood samples were taken for proteomic analyses after 8 h fasting. Proteomic profiles were analyzed using the Multiplex Immunoassay platform from Myriad Rules Based Medicine (Myriad RBM; Austin, Texas, USA). Human DiscoveryMAPTM was used to measure the concentration of various proteins, peptides, and small molecules. A multivariate predictive model was consequently constructed to differentiate between BD and MDD.

RESULTS

Based on the various proteomic profiles, the algorithm could discriminate depressed BD patients from MDD patients with an accuracy of 67%.

DISCUSSION

The results of this preliminary study suggest that future discrimination between bipolar and unipolar depression in a single case could be possible, using predictive biomarker models based on blood proteomic profiling.

Pharmacotherapeutic interventions for bipolar disorder type II: addressing multiple symptoms and approaches with a particular emphasis on strategies in lower and middle-income countries

Introduction: Appropriately managing mental disorders is a growing priority across countries in view of the impact on morbidity and mortality. This includes patients with bipolar disorders (BD). Management of BD is a concern as this is a complex disease with often misdiagnosis, which is a major issue in lower and middle-income countries (LMICs) with typically a limited number of trained personnel and resources. This needs to be addressed.Areas covered: Medicines are the cornerstone of managing patients with Bipolar II across countries including LMICs. The choice of medicines, especially antipsychotics, is important in LMICs with high rates of diabetes and HIV. However, care is currently compromised in LMICs by issues such as the stigma, cultural beliefs, a limited number of trained professionals and high patient co-payments.Expert opinion: Encouragingly, some LMICs have introduced guidelines for patients with BD; however, this is very variable. Strategies for the future include addressing the lack of national guidelines for patients with BD, improving resources for mental disorders including personnel, improving medicine availability and patients' rights, and monitoring prescribing against agreed guidelines. A number of strategies have been identified to improve the treatment of patients with Bipolar II in LMICs, and will be followed up.

Healthcare cost, service use and mortality in major psychiatric disorders in Taiwan

BACKGROUND

We aimed to examine the differences in the cost distributions, service use, and mortality outcomes, across major psychiatric disorders in Taiwan.

METHOD

A national cohort of adult patients (n = 68,068) who had newly received a diagnosis of schizophrenia, bipolar disorder, and major depressive disorder (MDD) was identified from the National Health Insurance Research Database and followed for the subsequent three years. Variations in the 1-year and 3-year healthcare cost distributions and mortality outcomes were examined according to age group (18-64 years, ≥65 years) and diagnosis.

RESULTS

Regardless of age group, individuals with schizophrenia had the highest total and psychiatric healthcare costs. Healthcare costs for psychiatric services accounted for 84.25%, 60%, and 29.62% of the 1-year total healthcare costs for younger patients with a diagnosis of schizophrenia, bipolar disorder, and MDD, respectively. Psychiatric inpatient care costs constituted a major part of the 1-year psychiatric healthcare costs, e.g., 85.86% for schizophrenia patients aged 18-64 years, while psychiatric medication costs contributed to a relatively smaller part. For those older than 65 years, costs of other specialties for comorbid physical conditions were more prominent.

LIMITATIONS

The perspective of the current analysis was limited to healthcare services, and we were not able to analyse wider economic impacts.

CONCLUSIONS

Psychiatric inpatient care costs contributed to a significant share of psychiatric expenditures, emphasizing the need of developing strategies to reduce rehospitalisations. For those aged 65 years or older, efforts to improve interdisciplinary service care for comorbid physical conditions may be required.

Cost-effectiveness and cost-utility analysis of outpatient follow-up frequency in relation to three-year mortality in discharged patients with bipolar disorder

There is a lack of clarity in terms of cost-effectiveness and cost-utility comparisons across different outpatient (OPD) follow-up patterns in discharged patients with bipolar disorder (BD). In this study, adult patients hospitalised for BD treatment (n = 1,591) were identified from the National Health Insurance Research Database in Taiwan. With survival as the effectiveness measure and quality-adjusted life years (QALYs) as the utility measure, a cost-effectiveness and cost-utility analysis was conducted over the 3-year follow-up period by post-discharge frequency of OPD visits. Compared to those making 1-7, 8-12 and 18 or more OPD visits, BD patients making 13-17 OPD visits within the first year after discharge had the lowest psychiatric and total healthcare costs over the follow-up period. With survival status as the effectiveness outcome, making 13-17 OPD visits was more likely to be the cost-effective option, as revealed by incremental cost-effectiveness ratios. Cost-utility analysis demonstrated that having 13-17 OPD visits was probably the more cost-effective option when considering QALYs; for instance, if society was willing to pay NTD1.5 million for one additional QALY, there was a 75.2% (psychiatric costs) to 77.4% (total costs) likelihood that 13-17 OPD visits was the most cost-effective option. In conclusion, post-discharge OPD appointments with a frequency of 13-17 visits within the first year were associated with lower psychiatric and total healthcare costs in the subsequent 3 years. Having an adequate outpatient follow-up frequency was likely to be cost-effective in the management of discharged patients with BD in this real-world setting.

Can lithium salts prevent depressive episodes in the real world?

To critically examine the effectiveness of lithium in preventing depressive symptoms (mixed and depressive episodes) in real life settings, taking into account adherence to drug treatment and its implications for the clinical costs of the disease. Overall, 72 patients with bipolar disorder initially treated with lithium carbonate were included and followed-up for 10 years. Patients were assessed every 8 weeks for morbidity and alcohol/drug consumption. Patients with good adherence to lithium had fewer episodes with depressive features than poor adherers (B = 2.405, p = 0.046) and also fewer manic and hypomanic episodes (B = 2.572; p < 0.001), after controlling for confounders. Time to relapse into a depressive or mixed episode and into a manic or hypomanic episode was shorter in patients with poor adherence. The costs of the 1.95 ± 2.38 (mean ± standard deviation) admissions of adherent patients through the 10 years of follow-up were €10,349, while the costs of the 6.25 ± 4.92 admissions of non-adherent patients were €44,547. In clinical practice settings, long-term lithium salts seem to have a preventive effect on depressive symptoms.

The development and psychometric properties of the bipolar disorders knowledge scale

PURPOSE

Bipolar Disorder (BD) presents in 1-4% of the world's population, carrying significant financial and functional consequences. Beyond the direct disease burden, patients with BD experience a high degree of both internal and external stigma. Additionally, medication adherence tends to be poor in patients with BD. Knowledge appears to play a role in mitigating both stigma and non-adherence, but these relationships have not been fully elucidated. The Bipolar Disorder Knowledge Scale (BDKS) was designed to explore the role of knowledge and better define such relationships. This research provides the evidence for the reliability and validity of the scale.

METHODS

Forty-seven items were developed to assess knowledge of BD. The 47-item survey was sent out to two groups: first a group of 43 pharmacists with BCPP credentials from the College of Psychiatric and Neurologic Pharmacists (CPNP) who were recruited from the CPNP directory, and second a group of 250 members of the general public who were recruited using Qualtrics Online Sample service. Participants were surveyed on their education status, health literacy, BD diagnostic status, and exposure to patients with BD. Participants then completed the 47-item scale. After 48 h 100 members from the original general public group were sent the same survey to assess test-retest reliability. For each item a difficulty index to evaluate how well participants performed on the item and a discrimination index to determine how well each item performed in high-scorers versus low scorers were calculated. Additionally, Cronbach's alpha was calculated to determine internal consistency validity and a Pearson correlation was run to determine test-retest reliability. Items were removed based on the results from the difficulty index, discrimination index, and Cronbach's alpha. Finally the pharmacist final scores were compared to the general public using an unpaired t-test to assess whether content experts were more likely to perform better on the scale. Following item removal, the scale was finalized at 25-items.

RESULTS

The mean score for the scale was 34.48 (71.83%; SD: 5.50) and the Cronbach's alpha was 0.773 before item analysis. Following item analysis, 22 items were dropped leaving 25 items on the final version of the scale. The remaining items retained a difficulty index below 90% and a discrimination index above 20%. The mean of the 25-item scale was 18.40 (73.6%; SD: 4.13) for the general public and 23.20 (92.8%; SD: 1.36) for the pharmacists group (p < 0.001). The Cronbach's alpha for the finalized scale was 0.760, indicating a high-degree of internal consistency. While this is lower than the original alpha, this may be explained by the reduced number of scale items. A 25-item scale is much more practical and the items on the scale retain stronger item analysis statistics. Finally, the Pearson Correlation for the group who underwent the test-retest procedure was 0.841 (p < 0.001) indicating strong test-retest reliability.

CONCLUSION

The BDKS is a 25-item true-false scale that takes approximately 5-10 min to complete. The scale assesses knowledge of BD with items targeting diagnosis, etiology, disease course, symptoms, treatment, and life impact. The scale has shown strong internal consistency and test-retest reliability in a general population and will be useful for evaluating knowledge of BD as it relates to stigma, non-adherence, and other variables.

Canadian Network for Mood and Anxiety Treatments (CANMAT) and International Society for Bipolar Disorders (ISBD) 2018 guidelines for the management of patients with bipolar disorder

The Canadian Network for Mood and Anxiety Treatments (CANMAT) previously published treatment guidelines for bipolar disorder in 2005, along with international commentaries and subsequent updates in 2007, 2009, and 2013. The last two updates were published in collaboration with the International Society for Bipolar Disorders (ISBD). These 2018 CANMAT and ISBD Bipolar Treatment Guidelines represent the significant advances in the field since the last full edition was published in 2005, including updates to diagnosis and management as well as new research into pharmacological and psychological treatments. These advances have been translated into clear and easy to use recommendations for first, second, and third- line treatments, with consideration given to levels of evidence for efficacy, clinical support based on experience, and consensus ratings of safety, tolerability, and treatment-emergent switch risk. New to these guidelines, hierarchical rankings were created for first and second- line treatments recommended for acute mania, acute depression, and maintenance treatment in bipolar I disorder. Created by considering the impact of each treatment across all phases of illness, this hierarchy will further assist clinicians in making evidence-based treatment decisions. Lithium, quetiapine, divalproex, asenapine, aripiprazole, paliperidone, risperidone, and cariprazine alone or in combination are recommended as first-line treatments for acute mania. First-line options for bipolar I depression include quetiapine, lurasidone plus lithium or divalproex, lithium, lamotrigine, lurasidone, or adjunctive lamotrigine. While medications that have been shown to be effective for the acute phase should generally be continued for the maintenance phase in bipolar I disorder, there are some exceptions (such as with antidepressants); and available data suggest that lithium, quetiapine, divalproex, lamotrigine, asenapine, and aripiprazole monotherapy or combination treatments should be considered first-line for those initiating or switching treatment during the maintenance phase. In addition to addressing issues in bipolar I disorder, these guidelines also provide an overview of, and recommendations for, clinical management of bipolar II disorder, as well as advice on specific populations, such as women at various stages of the reproductive cycle, children and adolescents, and older adults. There are also discussions on the impact of specific psychiatric and medical comorbidities such as substance use, anxiety, and metabolic disorders. Finally, an overview of issues related to safety and monitoring is provided. The CANMAT and ISBD groups hope that these guidelines become a valuable tool for practitioners across the globe.

Critical factors for the return-to-work process among people with affective disorders: Voices from two vocational approaches

BACKGROUND

Depression is among the major causes of disability with a negative impact on both daily life and work performance. Whilst depression is the primary cause of sick-leave and unemployment in today's workplace there is a lack of knowledge of the needs of individuals with depression regarding their return-to-work (RTW) process.

OBJECTIVE

To explore which factors are of critical importance for people suffering from depression and who also are unemployed in their RTW-process and to explore the impact of two vocational approaches on the service users' experiences. The study included participants in two vocational rehabilitation approaches; Individual Enabling and Support (IES) and Traditional Vocational Rehabilitation (TVR).

METHOD

Qualitative methods were applied to explore critical factors in the RTW-process. Individuals with affective disorders including depression and bipolar disorder were included.RESULTSThree themes emerged as critical factors; Experiencing hope and power, professionals' positive attitudes, beliefs and behaviours, and employing a holistic perspective and integrating health and vocational service.CONCLUSIONThis study has demonstrated critical factors for the return-to-work process as experienced by persons with depression. To experience hope and power, to meet professionals that believe "you can work", who use a person-centred and holistic service approach, are such factors necessary for gaining a real job. In particular, professionals in TVR need to embrace this understanding since their services were not experienced as including these elements.

Health status and mobility limitations are associated with residential and employment status in schizophrenia and bipolar disorder

INTRODUCTION

Schizophrenia (SCZ) and bipolar disorder (BP) are linked to multiple impairments in everyday functioning which share cognitive and symptom risk factors. Other risk factors for critical aspects of every day functioning (e.g., gainful employment; residential independence) such as physical health have not been evaluated, despite poor health in SCZ and BP.

METHODS

We analyzed 20-year follow-up data from the Suffolk County Mental Health Project cohort of consecutive first admissions with a psychotic disorder to 12 psychiatric facilities in Suffolk County, NY, between September 1989 and December 1995. Both 20-year symptom, health, and cognition data, and the 20-year course of weight gain were included as predictors of employment and residence status.

RESULTS

The analysis sample consisted of 122 participants with SCZ ad BP, with SCZ participants less likely to work or live independently. Correlational analyses showed symptoms and cognition predicted vocational outcomes in both samples. The effect of diagnosis was significant for both gainful employment and independence in residence. After consideration of diagnosis, mobility and negative symptoms predicted gainful employment in both samples, but there were no additional predictors of residential independence. Prospective analysis of BMI found that baseline BMI, but not changes during the 20-year follow up, predicted labor force participation.

DISCUSSION

Health status limitations were associated with residential and, particularly, employment status independent from other, previously established predictors of everyday outcomes, including cognition and symptoms. The importance of health status limitations for predicting outcome was confirmed in both SCZ and BP, with schizophrenia representing the more impaired group.

FGF21 Is Associated with Metabolic Effects and Treatment Response in Depressed Bipolar II Disorder Patients Treated with Valproate

BACKGROUND

Patients with bipolar disorder are at high risk of metabolic disturbance after mood stabilizer treatment. However, the mediators linking the two conditions remain unknown. In this study, we investigated whether fibroblast growth factor-21 (FGF21) was associated with metabolic effects and treatment response in depressed bipolar disorder patients.

METHODS

We recruited 78 community-dwelling controls and 137 bipolar disorder patients; the latter were interviewed using the Chinese Version of the Modified Schedule of Affective Disorder and Schizophrenia-Life Time. Upon study entry, the bipolar disorder patients were all in a major depressive status, with 17-item Hamilton Depression Rating Scale (HDRS) scores >15. They received valproate (500-1000 mg daily) for 12 weeks, and fluoxetine 20 mg daily was permitted to treat depressive symptoms. Fasting plasma level of FGF21, lipid profiles, and body weight were collected at baseline and after 12 weeks of treatment.

RESULTS

At baseline, the demographic characteristics, FGF21 level, and metabolic indices did not differ significantly between the controls and bipolar disorder patients. After 12 weeks of treatment, the FGF21 level (167.7±122.0 to 207.1±162.3 pg/mL, P=.001), body weight and waist circumference had increased significantly (P<.001 and P=.028, respectively). Moreover, the change in FGF21 level was significantly correlated with the changes in HDRS score (r=0.393, P=.002), total cholesterol (r=-0.344, P=.008), and low-density lipoprotein (r=-0.347, P=.007).

CONCLUSIONS

The central and peripheral mediating effects of FGF21 on bipolar disorder depression treatment might be opposite. High peripheral FGF21 levels might link regulation of metabolic effect and resistance to treatment in bipolar disorder.

A genome-wide quantitative trait locus (QTL) linkage scan of NEO personality factors in Latino families segregating bipolar disorder

Personality traits have been suggested as potential endophenotypes for Bipolar Disorder (BP), as they can be quantitatively measured and show correlations with BP. The present study utilized data from 2,745 individuals from 686 extended pedigrees originally ascertained for having multiplex cases of BP (963 cases of BPI or schizoaffective BP). Subjects were assessed with the NEO Personality Inventory, Revised (NEO PI-R) and genotyped using the Illumina HumanLinkage-24 Bead Chip, with an average genetic coverage of 0.67 cM. Two point linkage scores were calculated for each trait as a quantitative variable using SOLAR (Sequential Oligogenic Linkage Analysis Routines). Suggestive evidence for linkage was found for neuroticism at 1q32.1 (LOD = 2.52), 6q23.3 (2.32), 16p12 (2.79), extraversion at 4p15.3 (2.33), agreeableness at 4q31.1 (2.37), 5q34 (2.80), 7q31.1 (2.56), 16q22 (2.52), and conscientiousness at 4q31.1 (2.50). Each of the above traits have been shown to be correlated with the broad BP phenotype in this same sample. In addition, for the trait of openness, we found significant evidence of linkage to chromosome 3p24.3 (rs336610, LOD = 4.75) and suggestive evidence at 1q43 (2.74), 5q35.1 (3.03), 11q14.3 (2.61), 11q21 (2.30), and 19q13.1 (2.52). These findings support previous linkage findings of the openness trait to chromosome 19q13 and the agreeableness trait to 4q31 and identify a number of new loci for personality endophenotypes related to bipolar disorder.

Cost of arthritis: a systematic review of methodologies used for direct costs

A substantial amount of healthcare and costs are attributable to arthritis, which is a very common chronic disease. This paper presents the results of a systematic review of arthritis cost studies published from 2008 to 2013. MEDLINE, Embase, EconLit databases were searched, as well as governmental and nongovernmental organization websites. Seventy-one reports met the inclusion/exclusion criteria, and 24 studies were included in the review. Among these studies, common methods included the use of individual-level data, bottom-up costing approach, use of both an arthritis group and a control group to enable incremental cost computation of the disease, and use of regression methods such as generalized linear models and ordinary least squares regression to control for confounding variables. Estimates of the healthcare cost of arthritis varied considerably across the studies depending on the study methods, the form of arthritis and the population studied. In the USA, for example, the estimated healthcare cost of arthritis ranged from $1862 to $14,021 per person, per year. The reviewed study methods have strengths, weaknesses and potential improvements in relation to estimating the cost of disease, which are outlined in this paper. Caution must be exercised when these methods are applied to cost estimation and monitoring of the economic burden of arthritis.