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

Matched Comparison Examining the Effect of Obesity on Clinical, Economic, and Humanistic Outcomes in Patients with Bipolar I Disorder

INTRODUCTION

Bipolar I disorder (BD-I) is associated with an increased risk of obesity, but few studies have evaluated the real-world clinical, humanistic, and economic effects associated with obesity in people with BD-I.

METHODS

This was a retrospective, cross-sectional analysis of responses to the 2016 and 2020 National Health and Wellness surveys. Respondents (18-64 years) with a self-reported physician diagnosis of BD-I were matched to controls without BD-I based on demographic and health characteristics. Respondents were categorized by body mass index as underweight/normal weight (< 25 kg/m2), overweight (25 to < 30 kg/m2), or obese (≥ 30 kg/m2). Multivariable regression models were used to compare obesity-related comorbidities, healthcare resource utilization (HCRU), health-related quality of life (HRQoL), work productivity, and indirect and direct costs.

RESULTS

Before matching, the BD-I cohort was younger than the non-BD-I cohort and included more female and white respondents and a greater proportion covered by Medicaid or Medicare. After matching, the BD-I and non-BD-I cohorts had similar characteristics. A total of 5418 respondents (BD-I, n = 1806; matched controls, n = 3612) were analyzed. Obese respondents with BD-I reported the highest adjusted prevalences of high blood pressure (50%), high cholesterol (35%), sleep apnea (27%), osteoarthritis (17%), type 2 diabetes (12%), and liver disease (4%). Obesity in respondents with BD-I was associated with the lowest HRQoL scores. Measures of work impairment were highest in respondents with BD-I and obesity, as was HCRU. Respondents with BD-I and obesity had the highest associated total indirect and direct medical costs ($25,849 and $44,482, respectively).

CONCLUSION

Obese respondents with BD-I had greater frequencies of obesity-related comorbidities, higher HCRU, lower HRQoL, greater work impairments, and higher indirect and direct medical costs. These findings highlight the real-world burden of obesity in people with BD-I and the importance of considering treatments that may reduce this burden.

A Retrospective Cross-Sectional Analysis of the Humanistic and Economic Burden of Bipolar I Disorder

PURPOSE

This study quantified the burdens of bipolar I disorder (BP-I) by examining patient characteristics, health-related quality of life (HRQoL), health care resource utilization (HCRU), and costs of patients with versus without BP-I. Additionally, these outcomes were assessed across BP-I severity levels.

METHODS

A retrospective, cross-sectional analysis of the 2020 National Health and Wellness Survey was conducted. Adults who self-reported a physician diagnosis of BP-I were assigned to the BP-I cohort, with severity-specific subgroups (mild, moderate, severe) created for analysis. A separate cohort of participants without BP-I or MDD was used for comparison. Exclusion criteria included a schizophrenia diagnosis. Bivariate analyses compared demographic and socioeconomic characteristics between cohorts. HRQoL (Short Form-36v2 Health Survey [SF36v2] mental and physical component scores, EuroQol Five-Dimension Visual Analogue Scale [EQ-5D VAS]), HCRU (health care provider visits, emergency department visits, hospitalizations), and annualized costs (direct and indirect) were evaluated for participants with versus without BP-I as well as across BP-I severity subgroups using multivariate analyses adjusted for key baseline differences. Because BP-I is often misdiagnosed as MDD, outcomes were evaluated in a subgroup of participants with MDD who according to the Mood Disorder Questionnaire screened as having probable BP-I (ie, potentially misdiagnosed BP-I) and were compared with the BP-I severity subgroups.

FINDINGS

Cohorts included 818 participants with BP-I (mild = 336, moderate = 285, severe = 197) and 53,021 participants without BP-I. Participants with BP-I reported significantly lower HRQoL scores on the SF-36v2 and EQ-5D VAS (all measures, P < 0.001), and increasing BP-I severity was predictive of declining HRQoL. Participants with BP-I had significantly greater HCRU (all measures, P < 0.05) than participants without BP-I and increasing BP-I severity was associated with greater HCRU versus the mild BP-I cohort (all measures, P < 0.05). Participants with BP-I incurred significantly greater total direct (P < 0.01) and indirect (P < 0.001) costs versus participants without BP-I. Direct costs were incrementally higher across BP-I severity, while indirect costs were high across all groups but did not differ significantly. Participants with potentially misdiagnosed BP-I (n = 302) had similar HRQoL to those with mild-to-moderate BP-I and similar HCRU and direct costs to those with mild BP-I.

IMPLICATIONS

These results demonstrate the substantial clinical and economic burdens associated with BP-I, and these negative impacts generally increase with BP-I severity. The study also suggests that despite not having the diagnosis of BP-I, burdens of potentially misdiagnosed patients are similar to those with mild-to-moderate BP-I. Together, these results reveal substantial and diverse unmet needs among adults with BP-I.

Machine learning applied to the prediction of relapse, hospitalization, and suicide in bipolar disorder using neuroimaging and clinical data: A systematic review

BACKGROUND

Bipolar disorder (BD) is associated with increased morbidity/mortality. Adverse outcome prediction might help with the management of patients with BD.

METHODS

We systematically reviewed the performance of machine learning (ML) studies in predicting adverse outcomes (relapse or recurrence, hospital admission, and suicide-related events) in patients with BD. Demographic, clinical, and neuroimaging-related poor outcome predictors were also reviewed. Three databases (PubMed, Scopus, and Web of Science) were explored from inception to July 2023.

RESULTS

Eighteen studies, accounting for >30,000 patients, were included. Support vector machine, decision trees, random forest, and logistic regression were the most frequently used ML algorithms. ML models' area under the receiver operating characteristic (ROC) curve (AUC), sensitivity, and specificity ranged from 0.71 to 0.98, 72.7-92.8 %, and 59.0-95.2 % for relapse/recurrence prediction (4 studies (3 on relapses and 1 on recurrences). The corresponding values were 0.78-0.88, 21.4-100 %, and 77.0-99.7 % for hospital admissions (3 studies, 21,266 patients), and 0.71-0.99, 44.4-97.9 %, and 38.9-95.0 % for suicide-related events (10 studies, 5558 patients). Also, one study addressed a combination of the interest outcomes. Adverse outcome predictors included early onset BD, BD type I, comorbid psychiatric or substance use disorder, circadian rhythm disruption, hospitalization characteristics, and neuroimaging parameters, including increased dynamic amplitude of low-frequency fluctuation, decreased frontolimbic functional connectivity and aberrant dynamic functional connectivity in corticostriatal circuitry.

CONCLUSIONS

ML models can predict adverse outcomes of BD with relatively acceptable performance measures. Future studies with larger samples and nested cross-validation validation should be conducted to reach more reliable results.

Health concerns, access to care, and trust in research and researchers among community members with bipolar disorder

BACKGROUND

Data are needed on differences in community-dwelling populations with bipolar disorder (BP) regarding trust in research and access to care. We characterized community members by lifetime history of bipolar disorder. We hypothesized that those with BP would have less trust in research, visit a health provider less, and participate less in research than those without BP. We also hypothesized that those with BP would be more likely to have a history of marijuana (MJ) use.

METHODS

A cross-sectional design was used for this analysis. The study population consisted of 12,489 members (78.0%) from the HealthStreet community engagement program who were interviewed by a Community Health Worker about health history and demographics.

RESULTS

Among the sample, the rate of BP was 10.6% (n = 1326). Those reporting BP were more likely than those who did not (n = 11,163), to report muscle, bone, and mental health problems, to be younger, female, to have visited the doctor in the past 12 months, to be interested in participating in research, and be current MJ users. Trust did not differ between BP groups.

CONCLUSIONS

Our analysis found that persons with BP had higher access to care and more interest in research, thus our primary hypothesis was rejected. Our secondary hypothesis, that persons with BP were more likely to have a history of MJ use was upheld. These findings are important because they address a crucial gap in the literature surrounding BP and lay the groundwork for future community-level research.

Prediction of medical admissions after psychiatric inpatient hospitalization in bipolar disorder: a retrospective cohort study

Objective

Bipolar Disorder (BD) is a severe mental illness associated with high rates of general medical comorbidity, reduced life expectancy, and premature mortality. Although BD has been associated with high medical hospitalization, the factors that contribute to this risk remain largely unexplored. We used baseline medical and psychiatric records to develop a supervised machine learning model to predict general medical admissions after discharge from psychiatric hospitalization.

Methods

In this retrospective three-year cohort study of 71 patients diagnosed with BD (mean age=52.19 years, females=56.33%), lasso regression models combining medical and psychiatric records, as well as those using them separately, were fitted and their predictive power was estimated using a leave-one-out cross-validation procedure.

Results

The proportion of medical admissions in patients with BD was higher compared with age- and sex-matched hospitalizations in the same region (25.4% vs. 8.48%). The lasso model fairly accurately predicted the outcome (area under the curve [AUC]=69.5%, 95%C.I.=55-84.1; sensitivity=61.1%, specificity=75.5%, balanced accuracy=68.3%). Notably, pre-existing cardiovascular, neurological, or osteomuscular diseases collectively accounted for more than 90% of the influence on the model. The accuracy of the model based on medical records was slightly inferior (AUC=68.7%, 95%C.I. = 54.6-82.9), while that of the model based on psychiatric records only was below chance (AUC=61.8%, 95%C.I.=46.2-77.4).

Conclusion

Our findings support the need to monitor medical comorbidities during clinical decision-making to tailor and implement effective preventive measures in people with BD. Further research with larger sample sizes and prospective cohorts is warranted to replicate these findings and validate the predictive model.

The economic burden of bipolar disorder: a case study in Southern Iran

BACKGROUND

Bipolar Disorder (BD) imposes considerable economic and social burdens on the community. Therefore, the present study aimed to determine the economic burden of bipolar disorder in patients referred to single-specialty psychiatric hospitals at the secondary and tertiary care level in 2022.

METHODS

This partial economic evaluation was conducted as a cross-sectional study in the south of Iran in 2022, and 916 patients were selected through the census method. The prevalence-based and bottom-up approaches were used to collect cost information and calculate the costs, respectively. The data on Direct Medical Costs (DMC), Direct Non-Medical Costs (DNMC), and Indirect costs (IC) were obtained using the information from the patients' medical records and bills as well as the self-reports by the patients or their companions. The human capital approach was also used to calculate IC.

FINDINGS

The results showed that in 2022, the annual cost of bipolar disorder was $4,227 per patient. The largest share of the costs was that of DMC (77.66%), with hoteling and ordinary beds accounting for the highest expenses (55.40%). The shares of DNMC and IC were 6.37% and 15.97%, respectively, and the economic burden of the disease in the country was estimated at $2,799,787,266 as well.

CONCLUSION

In general, the costs of bipolar disorder treatment could impose a heavy economic burden on the community, the health system, the insurance system, and the patients themselves. Considering the high costs of hoteling and ordinary beds, it is suggested that hospitalization of BD patients be reduced by managing treatment solutions along with prevention methods to reduce the economic burden of this disease. Furthermore, in order to reduce the costs, proper and fair distribution of psychiatrists and psychiatric beds as well as expansion of home care services and use of the Internet and virtual technologies to follow up the treatment of these patients are recommended.

Dried Blood Spots and Miniaturized Ultrasonic Nebulization Microplasma Optical Emission Spectrometry for Point-of-Care Testing of Blood Lithium

Despite the significant importance of blood lithium (Li) detection in the treatment of bipolar disorder (BD), its point-of-care testing (POCT) remains a great challenge due to tedious sample preparation and the use of large-footprint atomic spectrometers. Herein, a system coupling dried blood spots (DBS) with a point discharge optical emission spectrometer equipped with a miniaturized ultrasonic nebulizer (MUN-μPD-OES) was developed for POCT of blood Li. Three microliters of whole blood were used to prepare a dried blood spot on a piece of filter paper to which 10 μL of eluent (1% (v/v) formic acid and 0.05% (v/v) Triton-X) was added. Subsequently, the paper was placed onto the vibrating steel membrane of the ultrasonic nebulizer and powered on to generate aerosol. The aerosol was directly introduced to the μPD-OES for quantification of Li by monitoring its atomic emission line at 670.8 nm. The proposed method minimized matrix interference caused by high levels of salts and protein. It is worth noting that the MUN suitably matches the needs of DBS sampling and can provide aerosolized introduction of Li into the assembled μPD-OES, thus eliminating all tedious sample preparation and the need for a commercial atomic spectrometer. Calibration response is linear in the therapeutic range and a limit of detection (LOD) of 1.3 μg L-1 is well below the Li minimum therapeutic concentration (2800 μg L-1). Li in mouse blood was successfully detected in real-time using MUN-μPD-OES after intraperitoneal injection of lithium carbonate, confirming that the system holds great potential for POCT of blood Li for patients with BD.

Perinatal photoperiod associations with bipolar disorder and depression: A systematic literature review and cross-sectional analysis of the UK Biobank database

Season-of-birth associations with psychiatric disorders point to environmental (co-)aetiological factors such as natural photoperiod that, if clarified, may allow interventions toward prevention. We systematically reviewed the literature concerning season-of-birth and bipolar disorder and depression and explored associations between the perinatal natural photoperiod and these outcomes in a cross-sectional analysis of the UK Biobank database. We used mean daily photoperiod and relative photoperiod range (relative to the mean) in the 3rd trimester and, separately, in the first 3 months post birth as metrics. From review, increased risk of depression with late spring birth is compatible with increased odds of probable single episode-, probable recurrent-, and diagnosed depression (OR 2.85 95 %CI 1.6-5.08, OR 2.20 95 %CI 1.57-3.1, and OR 1.48 95 %CI 1.11-1.97, respectively) with increasing 3rd trimester relative photoperiod range for participants who experienced relatively non-extreme daily photoperiods. Risk of bipolar disorder with winter-spring birth contrasted with no consistent patterns of perinatal photoperiod metric associations with bipolar disorder in the UK Biobank. As natural photoperiod varies by both time-of-year and latitude, perinatal natural photoperiods (and a hypothesized mechanism of action via the circadian timing system and/or serotonergic circuitry associated with the dorsal raphe nucleus) may reconcile inconsistencies in season-of-birth associations. Further studies are warranted.

Preventive effect of aripiprazole once-monthly on relapse into mood episodes in bipolar disorder: A multicenter, one-year, retrospective, mirror image study

BACKGROUND

We conducted a one-year, retrospective, mirror-image study to investigate the clinical effectiveness and safety of aripiprazole once monthly (AOM) in patients with bipolar disorder (BD). We compared pre-treatment conditions with outcomes after 12 months of AOM treatment.

METHODS

Seventy-five bipolar patients were recruited from 12 hospitals in Korea. We included 75 patients with BD who had received at least three AOM treatments from September 2019 to September 2022 and had accessible electronic medical record (EMRs) for the year before and after the baseline visit.

RESULTS

The overall number of mood episodes significantly decreased from a mean of 1.5 ± 1.2 episodes pre-AOM to 0.5 ± 1.2 episodes post-AOM. Manic episodes significantly decreased from 0.8 ± 0.8 episodes pre-AOM to 0.2 ± 0.5 episodes post-AOM, and depressive episodes significantly decreased from 0.5 ± 0.8 episodes pre-AOM to 0.2 ± 0.6 episodes post-AOM (p = 0.017). Moreover, the number of psychiatric medications and pills and the proportion of patients treated with complex polypharmacy were significantly decreased post-AOM.

LIMITATIONS

The small sample size was insufficient to fully represent the entire population of individuals with BD, and potential selection bias was introduced due to only including subjects who received AOM three or more times.

CONCLUSION

The results of this study suggest that AOM can reduce mood episode relapse and may be clinically beneficial in the treatment of BD patients, potentially reducing issues associated with polypharmacy in some individuals.

Predicting Conversion to Insulin Sensitivity With Metformin: A Promising Tool for Clinicians in Addressing Insulin Resistance and Improving Outcomes in Patients With Treatment Resistant Bipolar Depression

BACKGROUND

Insulin resistance (IR) changes the trajectory of responsive bipolar disorder to a treatment-resistant course. A clinical trial conducted by our group demonstrated that IR reversal by metformin improved clinical and functional outcomes in treatment-resistant bipolar depression (TRBD). To aid clinicians identify which metformin-treated TRBD patients might reverse IR, and given strong external evidence for their association with IR, we developed a predictive tool using body mass index (BMI) and homeostatic model assessment-insulin resistance (HOMA-IR).

METHODS

The predictive performance of baseline BMI and HOMA-IR was tested with a logistic regression model using known metrics: area under the receiver operating curve, sensitivity, and specificity. In view of the high benefit to low risk of metformin in reversing IR, high sensitivity was favored over specificity.

RESULTS

In this BMI and HOMA-IR model for IR reversal, the area under the receiver operating curve is 0.79. At a cutoff probability of conversion of 0.17, the model's sensitivity is 91% (95% confidence interval [CI], 57%-99%), and the specificity is 56% (95% CI, 36%-73%). For each unit increase in BMI or HOMA-IR, there is a 15% (OR, 0.85; 95% CI, 0.71-0.99) or 43% (OR, 0.57; CI, 0.18-1.36) decrease in the odds of conversion, respectively.

CONCLUSIONS

In individuals with TRBD, this tool using BMI and HOMA-IR predicts IR reversal with metformin with high sensitivity. Furthermore, these data suggest early intervention with metformin at lower BMI, and HOMA-IR would likely reverse IR in TRBD.

A comparative study of cognitive function in young patients with bipolar disorder with and without non-suicidal self-injury

OBJECTIVE

Bipolar disorder (BD) is a chronic mental disorder characterized by alternating or mixed episodes of mania or hypomania and depression. Cognitive function impairment is a frequent associated feature of the disease. While many BD patients also engage in non-suicidal self-injury (NSSI), there is a lack of studies on the cognitive function of BD patients with NSSI. This study aimed to evaluate cognitive functioning of BD patients with NSSI and provide a clinical basis for the differential diagnosis and treatment of BD and NSSI.

METHODS

A total of 60 BD patients with NSSI, 60 BD patients without NSSI, and 60 healthy controls (HC) were selected for the study. All participants met the inclusion criteria and were not taking any medications, excluding the potential effects of medication on cognitive functions. The following neurocognitive tests were used to measure the cognitive functions in areas such as speed of processing, reasoning and problem solving, attention/vigilance, working memory, visual learning, and verbal learning: The Trail Making Test (TMT), Category Fluency, Digit Symbol Coding Test (DSCT), Brief Visuospatial Memory Test-Revised (BVMT-R), The Neuropsychological Assessment Battery Mazes (NABM), Wechsler Memory Scale Third Edition Spatial Span Test (WMS III-SST), Hopkins Verbal Learning Test-Revised (HVLTR) and Continuous Performance Test and Identical Prs (CPT-IP).

RESULTS

The findings indicated that BD patients with NSSI exhibited cognitive impairment in all measured cognitive domains. On the other hand, BD patients without NSSI showed less pronounced impairment in terms of speed of processing, but exhibited significant cognitive impairment in the remaining five areas compared to the HC group.

CONCLUSION

The study underscores the presence of cognitive impairment in BD, and the cognitive impairment is more severe in BD patients with NSSI compared to those without NSSI. In conclusion, both individuals with NSSI and those without NSSI in BD exhibit cognitive impairment, which provides ideas and strategies for using cognitive-behavioral therapy to treat BD and NSSI.

Perinatal factors as risk factors of bipolar disorder onset in young adulthood: a 22-year birth cohort

BACKGROUND

Bipolar disorder (BD) is a leading cause of disability-adjusted life years in young adults. Complications during prenatal periods have been associated with BD previously. The study aims to examine the association between perinatal factors and BD in order to prevent the risk of developing BD.

METHODS

3,794 subjects from the 1993 Pelotas population-based birth cohort study were included. We assessed 27 initial variables at birth and modelled BD onset at 18 and 22 years. We performed bivariate analysis, using binomial logistic regression models. The variables with p-value smaller than 0.05 were included into a multiple regression with confounding variables.

RESULTS

Maternal smoking was associated with a 1.42-fold increased risk of BD at 18 or 22 years old (95% CI: 1.091-1.841), and maternal passive exposure to tobacco with a 1.43-fold increased risk (95% CI: 1.086-1.875). No association was found between other perinatal factors and BD after controlling for confounding factors.

CONCLUSION

The results of this cohort corroborate with previous findings in the literature that already indicate the negative outcomes of maternal smoking during pregnancy. They may now be linked to other studies to target these factors for preventing the development of BD.

Impact of formulary-related pharmacy claim rejections of cariprazine on health care utilization and treatment patterns among patients with bipolar I disorder

BACKGROUND

Formulary restrictions, intended to limit inappropriate medication use and decrease pharmacy costs, may prevent or delay patients with bipolar I disorder from initiating cariprazine, a dopamine D3-preferring D3/D2 and serotonin 5HT1A receptor partial agonist that is approved to treat manic/mixed or depressive episodes associated with bipolar I disorder. Little is known about the downstream consequences of formulary-related cariprazine prescription rejections.

OBJECTIVE

To evaluate the impact of formulary-related cariprazine claim rejections on health care resource utilization (HCRU) and treatment patterns among patients newly prescribed cariprazine for bipolar I disorder.

METHODS

Symphony Health Integrated Dataverse was used to identify commercially insured adults (aged ≥18 years) with bipolar I disorder and at least 1 pharmacy claim for cariprazine (rejected because of formulary restrictions or approved; date of the first claim is the index date) from March 2015 through October 2020. Formulary-related rejection reasons included noncoverage, prior authorization requirement, and step therapy requirement. Baseline characteristics were evaluated during the 12 months pre-index and balanced between rejected and approved cohorts using 1:2 propensity score matching. HCRU outcomes included all-cause and mental health (MH)-related hospitalizations, emergency department (ED) visits, and outpatient visits. Treatment patterns were analyzed descriptively and included treatment delay and atypical antipsychotic use. HCRU was reported per patient-year and compared between cohorts using rate ratios; 95% CIs and P values were calculated using nonparametric bootstrap procedures.

RESULTS

The matched rejected and approved cohorts comprised 1,554 and 3,108 patients, respectively. The rejected cohort had 22% more all-cause and 24% more MH-related hospitalizations per patient-year vs the approved cohort (rate ratio [95% CI], all-cause: 1.22 [1.01-1.48], P = 0.024; MH-related: 1.24 [1.01-1.55], P = 0.044). ED and outpatient visits were numerically, but not significantly, greater in the rejected cohort. Of patients in the rejected cohort, 34.7% never received an atypical antipsychotic and 76.8% never received cariprazine. For those who later received cariprazine or another atypical antipsychotic, the average treatment delay was approximately 6 months (188 days) and approximately 4 months (123 days) after the initial rejection, respectively.

CONCLUSIONS

Patients with bipolar I disorder and formulary-related cariprazine claim rejections experienced significantly more hospitalizations than patients whose initial claim was approved; ED and outpatient visits were similar between cohorts. Less than a quarter of patients whose initial claim was rejected later received cariprazine, and more than one-third never received any atypical antipsychotic. To our knowledge, this is the first study to evaluate the impact of formulary-related rejections of cariprazine on HCRU and treatment patterns in patients with bipolar I disorder.

Impact of long-acting injectable antipsychotics vs. oral medication on relapses of patients with psychosis and bipolar disorder

Relapse associated with multiple hospital readmissions of patients with chronic and severe mental disorders, such as psychosis and bipolar disorder, is frequently associated with non-adherence to treatment. The primary aim of the study was to compare the effectiveness of long-acting injectable (LAI) treatment, vs. oral medication in reducing readmissions of patients with psychotic or bipolar disorder in a community sample of 164 patients with psychosis and 29 patients with bipolar disorder (n = 193), with poor adherence to oral medication. The mean follow up period was 5.6 years and the number of readmissions were compared for an equal-length period of oral treatment preceding the onset of LAI administration. We observed a significant decrease of 45.2 % in total hospital readmissions after receiving LAIs treatment. The effect was significant both for patients with a pre-LAI treatment history of predominantly voluntary hospitalizations and with predominantly involuntary admissions. In addition, we observed equal effectiveness of first- vs. second-generation LAIs in reducing total hospital readmissions regardless of type of pre-treatment admission history (voluntary vs. involuntary). LAIs appear to be effective in reducing both voluntary and involuntary hospital readmissions in patients with psychosis and bipolar disorder with a history of poor adherence to treatment.

Is There Somebody Looking out for Me? A Qualitative Analysis of Bullying Experiences of Individuals Diagnosed with Bipolar Disorder

According to the World Health Organisation, there are globally 40 million individuals with bipolar disorder (BD), and they experience stigma and discrimination, as many people with mental illness do. Work bullying (WB) is a common organisational problem, deteriorating the well-being and performance of employees and organisations. Although WB experiences have been researched for over three decades, we do not know much about the experiences of this group and what they need to extend their work-life. The current research aims to understand the workplace bullying experiences of individuals with BD and factors that may foster or hinder their participation in the labour force. The research methodology was based on in-depth interviews with 19 employees diagnosed with BD. Bullying experiences were mapped onto the Negative Acts Questionnaire. The data were analysed using the deductive qualitative content analysis on MAXQDA. Results showed that individuals with BD were exposed to bullying in work settings. Perceived reasons for the negative behaviours were mainly the undesirable individual characteristics of the bully, prejudices toward bipolar disorder, and already-existing toxic behaviours within the organisation. To reduce bullying, participants suggested that, among others, top management include equal and fair treatment of disadvantaged employees as performance criteria for supervisors and that organisations provide training against bullying, investigate complaints, apply sanctions, and establish an inclusive environment. If organisations set a stable and enduring vision, enhance a common identity for all employees, work on team building, and emphasise team efforts and goals, the organisational environment would be more inclusive, and individuals with BD would have longer work lives.

Relationship between social determinants of health and hospitalizations and costs among patients with bipolar disorder 1

BACKGROUND

Bipolar disorder type 1 (BD-1) is a serious episodic mental illness whose severity can be impacted by social determinants of health (SDOH). To date the relationship of social and economic factors with health care utilization has not been formally analyzed using real-world data.

OBJECTIVE

To describe patient characteristics and assess the influence of SDOH on hospitalizations and costs in patients with BD-1 insured with commercial and managed Medicaid health plans.

METHODS

This retrospective observational study used data from the Medical Outcomes Research for Effectiveness and Economics (MORE2) Registry to identify patients aged 18 years and older with evidence of BD-1 between July 1, 2016, and December 31, 2018. SDOH were linked to patients at the "near neighborhood" level (based on ZIP9 area). Multivariable models assessed the relationship between patient characteristics and hospitalizations (incidence rate ratios [95% CI]) and costs (cost ratios [95% CI]).

RESULTS

Of 243,286 patients with BD-1, 62,148 were covered by commercial insurance and 181,138 by Medicaid. Mean ages [±SD] were similar (commercial 39.8 [±14.8]; Medicaid 40.1 [±13.6]), with more female patients in both cohorts (commercial 59.8%; Medicaid 65.4%). All-cause hospitalization rates were 21.6% for commercial and 35.1% for Medicaid patients; emergency department visits were 39.7% and 64.3%, respectively. All-cause costs were $15,379 [±$27,929] for commercial and $21,474 [±$37,600] for Medicaid. Older age was a significant predictor of fewer hospitalizations compared with those aged younger than 30 years, particularly ages 40-49 for both commercial (0.60 [0.57-0.64]) and Medicaid (0.82 [0.80-0.85]). Increasing age was associated with significantly higher costs, especially age 65 and older (commercial 1.37 [1.31-1.44]); (Medicaid 1.43 [1.38-1.49]). Initial treatment with antipsychotics plus antianxiety medications was a significant predictor of higher hospitalizations (commercial 2.12 [1.98-2.27]; Medicaid 1.62 [1.57-1.68]) and higher costs (commercial 1.86 [1.80-1.92]); Medicaid 1.80 [1.76-1.84]). Household income was inversely associated with hospitalizations for Medicaid (<$30,000 [1.16 (1.12-1.19)]; $30,000-$39,999 [1.11 (1.07-1.15)]; $40,000-$49,999 [1.08 (1.05-1.12)]; $50,000-$74,999 [1.06 (1.02-1.09)]). Not speaking English well or at all was associated with 90% higher hospitalizations for commercial patients (1.93 [1.36-2.76]) but 40% fewer hospitalizations for Medicaid patients (0.59 [0.53-0.67]). Low English language proficiency was associated with significantly higher costs for commercial patients (2.22 [1.86-2.64]) but lower costs for Medicaid patients (0.57 [0.53-0.61]).

CONCLUSIONS

Medicaid patients with BD-1 had high SDOH burden, hospitalizations, and costs. The association of lower English proficiency with fewer hospitalizations and lower costs in Medicaid patients suggests a potential disparity in access to care. These findings highlight the importance of addressing social risk factors to advance health equity in treatment of mental illness.

Prediction of patient admission and readmission in adults from a Colombian cohort with bipolar disorder using artificial intelligence

Introduction

Bipolar disorder (BD) is a chronically progressive mental condition, associated with a reduced quality of life and greater disability. Patient admissions are preventable events with a considerable impact on global functioning and social adjustment. While machine learning (ML) approaches have proven prediction ability in other diseases, little is known about their utility to predict patient admissions in this pathology.

Aim

To develop prediction models for hospital admission/readmission within 5 years of diagnosis in patients with BD using ML techniques.

Methods

The study utilized data from patients diagnosed with BD in a major healthcare organization in Colombia. Candidate predictors were selected from Electronic Health Records (EHRs) and included sociodemographic and clinical variables. ML algorithms, including Decision Trees, Random Forests, Logistic Regressions, and Support Vector Machines, were used to predict patient admission or readmission. Survival models, including a penalized Cox Model and Random Survival Forest, were used to predict time to admission and first readmission. Model performance was evaluated using accuracy, precision, recall, F1 score, area under the receiver operating characteristic curve (AUC) and concordance index.

Results

The admission dataset included 2,726 BD patients, with 354 admissions, while the readmission dataset included 352 patients, with almost half being readmitted. The best-performing model for predicting admission was the Random Forest, with an accuracy score of 0.951 and an AUC of 0.98. The variables with the greatest predictive power in the Recursive Feature Elimination (RFE) importance analysis were the number of psychiatric emergency visits, the number of outpatient follow-up appointments and age. Survival models showed similar results, with the Random Survival Forest performing best, achieving an AUC of 0.95. However, the prediction models for patient readmission had poorer performance, with the Random Forest model being again the best performer but with an AUC below 0.70.

Conclusion

ML models, particularly the Random Forest model, outperformed traditional statistical techniques for admission prediction. However, readmission prediction models had poorer performance. This study demonstrates the potential of ML techniques in improving prediction accuracy for BD patient admissions.

EMDR therapy vs. supportive therapy as adjunctive treatment in trauma-exposed bipolar patients: A randomised controlled trial

INTRODUCTION

Patients with bipolar disorder (BD) are frequently exposed to traumatic events which worsen disease course, but this study is the first multicentre randomised controlled trial to test the efficacy of a trauma-focused adjunctive psychotherapy in reducing BD affective relapse rates.

MATERIALS AND METHODS

This multicentre randomised controlled trial included 77 patients with BD and current trauma-related symptoms. Participants were randomised to either 20 sessions of trauma-focused Eye Movement Desensitization and Reprocessing (EMDR) therapy for BD, or 20 sessions of supportive therapy (ST). The primary outcome was relapse rates over 24-months, and secondary outcomes were improvements in affective and trauma symptoms, general functioning, and cognitive impairment, assessed at baseline, post-treatment, and at 12- and 24-month follow-up. The trial was registered prior to starting enrolment in clinical trials (NCT02634372) and carried out in accordance with CONSORT guidelines.

RESULTS

There was no significant difference between treatment conditions in terms of relapse rates either with or without hospitalisation. EMDR was significantly superior to ST at the 12-month follow up in terms of reducing depressive symptoms (p=0.0006, d=0.969), manic symptoms (p=0.027, d=0.513), and improving functioning (p=0.038, d=0.486). There was no significant difference in dropout between treatment arms.

CONCLUSIONS

Although the primary efficacy criterion was not met in the current study, trauma-focused EMDR was superior to ST in reducing of affective symptoms and improvement of functioning, with benefits maintained at six months following the end of treatment. Both EMDR and ST reduced trauma symptoms as compared to baseline, possibly due to a shared benefit of psychotherapy. Importantly, focusing on traumatic events did not increase relapses or dropouts, suggesting psychological trauma can safely be addressed in a BD population using this protocol.

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.

Advances and Applications of Brain Organoids

Understanding the fundamental processes of human brain development and diseases is of great importance for our health. However, existing research models such as non-human primate and mouse models remain limited due to their developmental discrepancies compared with humans. Over the past years, an emerging model, the "brain organoid" integrated from human pluripotent stem cells, has been developed to mimic developmental processes of the human brain and disease-associated phenotypes to some extent, making it possible to better understand the complex structures and functions of the human brain. In this review, we summarize recent advances in brain organoid technologies and their applications in brain development and diseases, including neurodevelopmental, neurodegenerative, psychiatric diseases, and brain tumors. Finally, we also discuss current limitations and the potential of brain organoids.

Sulfur-Containing Foldamer-Based Artificial Lithium Channels

Unlike many other biologically relevant ions (Na+ , K+ , Ca2+ , Cl- , etc) and protons, whose cellular concentrations are closely regulated by highly selective channel proteins, Li+ ion is unusual in that its concentration is well tolerated over many orders of magnitude and that no lithium-specific channel proteins have so far been identified. While one naturally evolved primary pathway for Li+ ions to traverse across the cell membrane is through sodium channels by competing with Na+ ions, highly sought-after artificial lithium-transporting channels remain a major challenge to develop. Here we show that sulfur-containing organic nanotubes derived from intramolecularly H-bonded helically folded aromatic foldamers of 3.6 Å in hollow cavity diameter could facilitate highly selective and efficient transmembrane transport of Li+ ions, with high transport selectivity factors of 15.3 and 19.9 over Na+ and K+ ions, respectively.

Clinical, Economic, and Humanistic Outcomes Associated with Obesity Among People with Bipolar I Disorder in the United States: Analysis of National Health and Wellness Survey Data

Introduction

People living with bipolar I disorder (BD-I) have an increased risk for obesity compared with the general population that may be related to genetic, lifestyle, and treatment factors. Few studies have examined possible effects of obesity on those living with BD-I. This study examined relationships between obesity and clinical, humanistic, and economic outcomes among adults with BD-I.

Methods

This retrospective, cross-sectional study analyzed survey responses from a nationally representative sample of US adults participating in the 2016 or 2020 National Health and Wellness Survey. Respondents (18-64 years) with a self-reported physician diagnosis of BD-I were included and categorized by body mass index: underweight/normal weight (<25 kg/m2), overweight (25 to <30 kg/m2), or obese (≥30 kg/m2). Adjusted analyses assessed comorbidities, health-related quality of life (HRQoL), work productivity, health care resource utilization (HCRU), and economic outcomes.

Results

In total, responses from 1,853 participants were analyzed; most were female (65%) and white (62%). Respondents with obesity had the highest prevalence of medical comorbidities, including high blood pressure (52%), sleep apnea (37%), hypercholesterolemia (34%), and type 2 diabetes (12%). Obesity was generally associated with the lowest scores of physical health and HRQoL. Activity impairment scores were highest among respondents with obesity, as were numbers of hospitalizations and emergency department visits in the previous 6 months. Respondents with obesity incurred higher annual indirect and direct medical costs ($28,178 and $37,771, respectively) when compared with the underweight/normal weight ($23,823 and $32,227, respectively) and overweight ($24,312 and $35,231, respectively) groups.

Conclusion

In this nationally representative sample, obesity was associated with several outcomes that may negatively affect people living with BD-I, including medical comorbidities, higher HCRU, HRQoL impairments, and greater indirect and direct medical costs. These findings highlight the importance of considering the presence of or risk for obesity and associated medical comorbidities when treating BD-I.

Comparative efficacy and tolerability of pharmacological interventions for acute bipolar depression in adults: a systematic review and network meta-analysis

BACKGROUND

Bipolar depression constitutes a major public health problem due to its substantial burden of disease. Although pharmacological interventions are available, guidelines required updated evidence synthesis to improve their current recommendations. In order to inform evidence-based prescribing, we investigated the comparative efficacy and tolerability of pharmacological interventions for acute bipolar depression.

METHODS

We conducted a systematic review and network meta-analysis. We searched for randomised controlled trials comparing pharmacological interventions with each other or placebo in adults with acute bipolar depression (type I, type II, or not otherwise specified), excluding those with substance misuse, unipolar depression, or schizophrenia, in MEDLINE, Embase, PsycINFO, Google Scholar, Cochrane Library, Web of Knowledge, CINAHL, and LILACS from database inception up to April 13, 2023. Criteria for eligibility were a duration of 2-16 weeks with masked outcome assessments, and we included combination, add-on design, and monotherapy studies. The co-primary outcomes were depressive symptoms, examined with standardised mean differences (SMDs), and manic switch, examined with odds ratios (ORs). We also investigated dropouts due to any reason, inefficacy, adverse events, and important side-effects as secondary outcomes. The confidence in the evidence was evaluated using Confidence-In-Network-Meta-Analysis (CINeMA). The study was registered with PROSPERO, CRD42020171726.

RESULTS

We analysed data from 101 randomised controlled trials covering 20 081 participants, 8063 men (41·7%) and 11 263 women (58·3%; sex not available in four studies), mean age 41·0 years (range of means 28·7-53·6 years), and 68 medications and placebo. Ethnicity data were not available. With moderate confidence in the evidence, olanzapine plus fluoxetine, quetiapine, olanzapine, lurasidone, lumateperone, cariprazine, and lamotrigine were more efficacious than placebo in reducing depressive symptoms, with SMDs ranging from 0·41 (95% CI 0·19-0·64) for olanzapine plus fluoxetine to 0·16 (0·03-0·29) for lamotrigine. Several other drugs might also be efficacious, but the confidence in the evidence was very low to low. Antidepressants as a class seem to be efficacious, but had a higher risk for manic switch compared to antipsychotics. Medications differed in their side-effect profiles.

INTERPRETATION

This is, to our knowledge, the largest network meta-analysis of pharmacotherapy for bipolar depression to date. Olanzapine plus fluoxetine, quetiapine, olanzapine, lurasidone, lumateperone, cariprazine, and lamotrigine were found to be more efficacious than placebo in adults with acute bipolar depression, with good confidence in the evidence, and to differ in their side-effect profiles. These findings can inform evidence-based care and the development of treatment guidelines internationally.

FUNDING

None.

Can Brain-Derived Neurotrophic Factor Be Considered a Biomarker for Bipolar Disorder? An Analysis of the Current Evidence

Brain-derived neurotrophic factor (BDNF) plays a key role in brain development, contributing to neuronal survival and neuroplasticity. Previous works have found that BDNF is involved in several neurological or psychiatric diseases. In this review, we aimed to collect all available data on BDNF and bipolar disorder (BD) and assess if BDNF could be considered a biomarker for BD. We searched the most relevant medical databases and included studies reporting original data on BDNF circulating levels or Val66Met polymorphism. Only articles including a direct comparison with healthy controls (HC) and patients diagnosed with BD according to international classification systems were included. Of the 2430 identified articles, 29 were included in the present review. Results of the present review show a reduction in BDNF circulating levels during acute phases of BD compared to HC, which increase after effective therapy of the disorders. The Val66Met polymorphism was related to features usually associated with worse outcomes. High heterogeneity has been observed regarding sample size, clinical differences of included patients, and data analysis approaches, reducing comparisons among studies. Although more studies are needed, BDNF seems to be a promising biomarker for BD.

Barriers to and facilitators of success for early and Mid-Career professionals focused on bipolar disorder: A global needs survey by the International Society for Bipolar Disorders

INTRODUCTION

The International Society for Bipolar Disorders created the Early Mid-Career Committee (EMCC) to support career development of the next generation of researchers and clinicians specializing in bipolar disorder (BD). To develop new infrastructure and initiatives, the EMCC completed a Needs Survey of the current limitations and gaps that restrict recruitment and retention of researchers and clinicians focused on BD.

METHODS

The EMCC Needs Survey was developed through an iterative process, relying on literature and content expertise of workgroup members. The survey included 8 domains: navigating transitional career stages, creating and fostering mentorship, research activities, raising academic profile, clinical-research balance, networking and collaboration, community engagement, work-life balance. The final survey was deployed from May to August 2022 and was available in English, Spanish, Portuguese, Italian, and Chinese.

RESULTS

Three hundred participants across six continents completed the Needs Survey. Half of the participants self-identified as belonging to an underrepresented group in health-related sciences (i.e., from certain gender, racial, ethnic, cultural, or disadvantaged backgrounds including individuals with disabilities). Quantitative results and qualitative content analysis revealed key barriers to pursuing a research career focused on BD with unique challenges specific to scientific writing and grant funding. Participants highlighted mentorship as a key facilitator of success in research and clinical work.

CONCLUSION

The results of the Needs Survey are a call to action to support early- and midcareer professionals pursuing a career in BD. Interventions required to address the identified barriers will take coordination, creativity, and resources to develop, implement, and encourage uptake but will have long-lasting benefits for research, clinical practice, and ultimately those affected by BD.

RNA Biomarkers in Bipolar Disorder and Response to Mood Stabilizers

Bipolar disorder (BD) is a severe chronic disorder that represents one of the main causes of disability among young people. To date, no reliable biomarkers are available to inform the diagnosis of BD or clinical response to pharmacological treatment. Studies focused on coding and noncoding transcripts may provide information complementary to genome-wide association studies, allowing to correlate the dynamic evolution of different types of RNAs based on specific cell types and developmental stage with disease development or clinical course. In this narrative review, we summarize findings from human studies that evaluated the potential utility of messenger RNAs and noncoding transcripts, such as microRNAs, circular RNAs and long noncoding RNAs, as peripheral markers of BD and/or response to lithium and other mood stabilizers. The majority of available studies investigated specific targets or pathways, with large heterogeneity in the included type of cells or biofluids. However, a growing number of studies are using hypothesis-free designs, with some studies also integrating data on coding and noncoding RNAs measured in the same participants. Finally, studies conducted in neurons derived from induced-pluripotent stem cells or in brain organoids provide promising preliminary findings supporting the power and utility of these cellular models to investigate the molecular determinants of BD and clinical response.

Prevalence and Risk Factors of Comorbid Obesity in Chinese Patients with Bipolar Disorder

Purpose

Bipolar disorder (BD) predisposes patients to comorbid obesity and increases the risk of metabolic syndrome and cardiovascular disease. In this study, we investigated the prevalence of comorbid obesity and its risk factors in patients with BD in China.

Patients and Methods

We conducted a cross-sectional retrospective survey of 642 patients with BD. Demographic data were collected, physical examinations were performed, and biochemical indexes, including fasting blood glucose, alanine aminotransferase (ALT), aspartate aminotransferase, and triglycerides (TG) levels, were measured. Height and weight were measured on an electronic scale at admission, and body mass index (BMI) was in kg/m². Pearson's correlation analysis was used to analyze the correlation between BMI and variable indicators. Multiple linear regression analysis was used to analyze the risk factors for comorbid obesity in patients with BD.

Results

The prevalence of comorbid obesity in Chinese patients with BD was 21.3%. Obese patients had high levels of blood glucose, ALT, glutamyl transferase, cholesterol, apolipoprotein B (Apo B), TG, and uric acid in the plasma; however, the levels of high-density lipoprotein and apolipoprotein A1 were lower than those in non-obese patients. Partial correlation analysis showed that BMI was associated with ApoB, TG, uric acid, blood glucose, GGT, TC, ApoA1, HDL, and ALT levels. Multiple linear regression showed that ALT, blood glucose, uric acid, TG, and Apo B levels were important risk factors of BMI.

Conclusion

The prevalence of obesity is higher in patients with BD in China, and TG, blood glucose, liver enzymes, and uric acid are closely related to obesity. Therefore, more attention should be paid to patients with comorbid obesity. Patients should be encouraged to increase their physical activity, control sugar and fat intake, and reduce the prevalence of comorbid obesity and risk of serious complications.

The burden of anxiety among a nationally representative US adult population

BACKGROUND

Anxiety disorders are highly prevalent and are associated with a significant humanistic and economic burden. This study evaluates the impact of anxiety symptoms on direct and indirect costs and quality of life in individuals with self-reported and unrecognized anxiety symptoms.

METHODS

The 2019 US National Health and Wellness Survey database was analyzed to compare individuals with anxiety symptoms to individuals without symptoms, stratified by responses to a yes/no question about experiencing anxiety symptoms, and further stratified by severity of symptoms based on GAD-7 scores. Individuals who responded 'yes' were characterized as having self-reported anxiety symptoms, and those who responded 'no' were screened for unrecognized anxiety symptoms.

RESULTS

Overall, 44.0 % of the population experienced anxiety symptoms, of which 32.5 % self-reported experiencing anxiety, while an additional 11.5 % had mild to severe symptoms but did not self-identify as having anxiety. Both groups experienced significantly worse quality of life, and higher direct and indirect costs than a control group who had no anxiety symptoms (GAD-7 ≤ 4). Individuals with more severe anxiety symptoms experienced worse outcomes.

LIMITATIONS

The data were cross-sectional, so causality could not be determined. Outcomes were based on self-report, and are therefore subject to reporting and recall bias. Prevalence and severity were assessed using the GAD-7, and not clinically validated.

CONCLUSION

A substantial proportion of the population experiences anxiety symptoms without recognizing it. Anxiety symptoms had a significant impact on quality of life, direct costs, and indirect costs, representing a considerable burden that increased with severity of illness.

Experiences that matter in bipolar disorder: a qualitative study using the capability, comfort and calm framework

BACKGROUND

When assessing the value of an intervention in bipolar disorder, researchers and clinicians often focus on metrics that quantify improvements to core diagnostic symptoms (e.g., mania). Providers often overlook or misunderstand the impact of treatment on life quality and function. We wanted to better characterize the shared experiences and obstacles of bipolar disorder within the United States from the patient's perspective.

METHODS

We recruited 24 individuals diagnosed with bipolar disorder and six caretakers supporting someone with the condition. Participants were involved in treatment or support services for bipolar disorder in central Texas. As part of this qualitative study, participants discussed their everyday successes and obstacles related to living with bipolar disorder during personalized, open-ended interviews. Audio files were transcribed, and Nvivo software processed an initial thematic analysis. We then categorized themes into bipolar disorder-related obstacles that limit the patient's capability (i.e., function), comfort (i.e., relief from suffering) and calm (i.e., life disruption) (Liu et al., FebClin Orthop 475:315-317, 2017; Teisberg et al., MayAcad Med 95:682-685, 2020). We then discuss themes and suggest practical strategies that might improve the value of care for patients and their families.

RESULTS

Issues regarding capability included the struggle to maintain identity, disruptions to meaningful employment, relationship loss and the unpredictable nature of bipolar disorder. Comfort related themes included the personal perception of diagnosis, social stigma and medication issues. Calm themes included managing dismissive doctors, finding the right psychotherapist and navigating financial burdens.

CONCLUSIONS

Qualitative data from patients with bipolar disorder helps identify gaps in care or practical limitations to treatment. When we listen to these individuals, it is clear that treatments must also address the unmet psychosocial impacts of the condition to improve patient care, capability and calm.

Unmet needs with antipsychotic treatment in schizophrenia and bipolar I disorder: patient perspectives from qualitative focus groups

BACKGROUND

Schizophrenia (SZ) and bipolar I disorder (BD-I) are chronic mental health disorders often treated with antipsychotic medications. This qualitative study sought to better understand disease burden and treatment experiences with oral antipsychotic medications in participants living with SZ or BD-I.

METHODS

Six 90-min focus groups were conducted with participants diagnosed with SZ or BD-I. Trained moderators facilitated discussions using a semistructured guide. Participants described symptoms, impacts of disease, and experiences with oral antipsychotic medications, whether favourable or unfavourable.

RESULTS

Among participants with SZ (n = 15; 3 groups, 5 per group), 53% were male and 33% were white, with a mean of 18.6 years since diagnosis. Of participants with BD-I (n = 24; 3 groups, 8 per group), 33% were male and 42% were white, with a mean of 13.0 years since diagnosis. Participants described numerous symptoms of their illnesses that impacted relationships and daily life, including effects on emotional health, the ability to work, and encounters with law enforcement. Previous antipsychotic medications were deemed effective by 14/15 (93%) participants with SZ and 12/16 (75%) participants with BD-I. Most participants with SZ (13/15; 87%) or with BD-I (16/24; 67%) reported discontinuing their antipsychotic medication at some point. Side effects were a common reason for discontinuing or switching medications for participants with SZ (8/15; 53%) and for those with BD-I (11/24; 46%). The most common side effects reported in both cohorts were weight gain, drowsiness, sexual problems, and neurologic symptoms. Side effects negatively affected quality of life, leading to serious health problems and issues with self-esteem.

CONCLUSIONS

People living with SZ or BD-I cited a range of favourable and unfavourable experiences with oral antipsychotic medications. Most participants reported that their antipsychotics were effective at controlling their symptoms, but multiple side effects impacted their quality of life, caused additional serious health problems, and often led to discontinuation of or switching antipsychotics. Findings from this study contribute to a better understanding of patients' experiences with antipsychotics and highlight a need for new medications with favourable benefit/risk profiles.

The economic and humanistic burden of bipolar disorder in adults in the United States

BACKGROUND

Bipolar disorder is associated with functional impairment and diminished health-related quality of life (HRQoL). The purpose of this study was to estimate the annual per patient direct healthcare costs, indirect costs, and HRQoL of patients with bipolar disorder by depressive symptom severity and overall compared to the general population in the US.

METHODS

This cross-sectional study used self-reported data from the 2020 US National Health and Wellness Survey. Adult respondents who reported bipolar disorder symptoms in the past 12 months and/or a diagnosis of bipolar disorder were identified (bipolar disorder cohort) and were further classified by depressive symptom severity based on Patient Health Questionnaire (PHQ-9) scores (none/mild = 0-9, moderate = 10-14, severe = 15-27). Annualized direct healthcare costs and indirect costs were calculated from 6-month healthcare resource utilization and work productivity, respectively. A general population cohort was constructed using 2:1 propensity score matching. Multivariate regression models of all-cause hospitalizations in the past 6 months, annualized direct healthcare costs, annualized indirect costs, and HRQoL (eg, EuroQol 5-Dimension Health Questionnaire (EQ-5D)) controlled for confounders (demographic and clinical characteristics).

RESULTS

Of 3583 adults meeting pre-specified criteria for bipolar disorder, 1401 (39.1%) reported none/mild, 889 (24.8%) moderate, and 1293 (36.1%) severe depressive symptom severity. Additionally, 3285 (91.7%) were matched to 6570 adults in the general population. Compared to the general population, adjusted mean hospitalizations (0.53 vs. 0.30), annualized per patient direct healthcare costs ($20,846 vs. $11,391), and indirect costs ($14,795 vs. $9274) were significantly greater for the bipolar disorder cohort (all p < 0.001); adjusted HRQoL (EQ-5D: 0.69 vs. 0.79) was significantly worse (p < 0.001). By depressive symptom severity, adjusted mean hospitalizations (none/mild = 0.30, moderate = 0.50, severe = 0.46), direct healthcare costs ($14,389, $22,302, $21,341), and indirect costs ($10,799, $17,109, $18,470) were significantly greater for moderate and severe compared to none/mild depressive symptom severity (all p < 0.01); adjusted HRQoL (EQ-5D: 0.77, 0.67, 0.59) was significantly worse (p < 0.001).

CONCLUSIONS

Among respondents with bipolar disorder, those with moderate to severe depression had greater direct healthcare costs and indirect costs as well as worse HRQoL than those with mild or no depressive symptoms. Treatment targeting reduction in depressive symptoms may reduce the economic and humanistic burden of bipolar disorder.

Total healthcare cost savings through improved bipolar I disorder identification using the Rapid Mood Screener in patients diagnosed with major depressive disorder

INTRODUCTION

Misdiagnosis of bipolar I disorder (BP-I) as major depressive disorder (MDD) leads to increased healthcare resource utilization and costs. The cost-effectiveness of the Rapid Mood Screener (RMS), a tool to identify BP-I in patients with depressive symptoms, was assessed in patients diagnosed with MDD presenting with depressive episodes.

METHODS

A decision-tree model of a hypothetical cohort of 1000 patients in a US health plan was used to estimate the number of correct diagnoses and overall total, direct healthcare costs over a 3-year timeframe for RMS-screened versus unscreened patients. Model inputs included the prevalence of BP-I in patients diagnosed with MDD, RMS sensitivity/specificity, and the cost of misdiagnosing BP-I as MDD.

RESULTS

Screening with the RMS resulted in 171, 159, and 143 additional correct BP-I or MDD diagnoses at Years 1, 2, and 3, respectively. Total healthcare plan cost savings were $1279 per patient in Year 1. Cumulative cost savings per patient for RMS screening versus no RMS screening were $2307 over 2 years and $3011 over 3 years. Scenario analyses showed that the RMS would remain cost-saving assuming a lower prevalence of BP-I (20% or 10%) versus the base case (24.3%).

CONCLUSION

The RMS is a cost-effective tool to identify BP-I in patients who would otherwise be misdiagnosed with MDD. Screening with the RMS resulted in cost-savings over 3 years, with model results remaining robust even with lower prevalence of BP-I and reduced RMS sensitivity assumptions.

Psychiatric healthcare resource utilization following initiation of aripiprazole once-monthly: a retrospective real-world study

OBJECTIVES

This observational retrospective real-world study examined changes in healthcare resource utilization (HCRU) pre- and post-initiation of aripiprazole once-monthly (AOM 400) in patients with schizophrenia or bipolar I disorder.

METHODS

Electronic health record-derived, de-identified data from the NeuroBlu Database (2013-2020) were used to identify patients ≥18 years with schizophrenia (n = 222) or bipolar I disorder (n = 129) who were prescribed AOM 400, and had visit data within 3, 6, 9, or 12 months pre- and post-initial AOM 400 prescription. Rates of inpatient hospitalization, emergency department visits, inpatient readmissions, and average length of stay were examined and compared over 3, 6, 9, and 12 months pre-/post-AOM 400 using a McNemar test.

RESULTS

Statistically significant differences were seen in both schizophrenia and bipolar I disorder patient cohorts pre- and post-AOM 400 in inpatient hospitalization rates (p < .001 all time points, both cohorts) and 30-day readmission per patient rates (p < .001 all time points, both cohorts). Statistically significant improvement in mean length of stay was observed in both cohorts at all time points, except for at six months in patients with schizophrenia. Emergency department visit rates were significantly lower after AOM 400 initiation for both cohorts at all time points (p < .001).

CONCLUSIONS

A reduction in the rate of hospitalizations, emergency department visits, 30-day readmissions, and average length-of-stay was observed for patients diagnosed with either schizophrenia or bipolar I disorder, which suggests a positive effect of AOM 400 treatment on HCRU outcomes and is supportive of earlier analyses from different data sources.

Predictors of employment status and stability in Bipolar Disorder: Findings from an 8-year longitudinal study

INTRODUCTION

Understanding how Bipolar Disorder (BD) affects employment is limited by cross-sectional or short-term longitudinal designs. The aims for this study are to examine condition-related and other clinical predictors of longitudinal employment status and stability in those with BD compared to healthy controls (HC).

METHODS

Participants were 358 individuals with BD and HC who were enrolled in the Heinz C. Prechter Longitudinal Study of BD. Participants completed self-report measurements of employment, symptoms, health, personality, life events, and neuropsychological tests at study enrollment, yearly and/or every two months. Repeated measures logistic regression was used to predict employment status and stability.

RESULTS

Those with BD were less likely to be employed than HC. Significant predictors of unemployment in BD include having BD type I, younger age, less years with BD, higher depression, worse processing speed, and worse mental and physical health. Of those with BD, 64 % demonstrated greater employment instability compared to 37 % of HC. History of psychosis, worse memory, physical health, and greater disruption of negative life events significantly predicted employment instability.

LIMITATIONS

The limitations of this study include the generalizability of this sample, a large reliance of self-report measures, and a lack of employment-related factors such as job-type, functioning, performance, and satisfaction. Lastly, the effects of medication, treatment adherence, and treatment optimization were not assessed in this study.

CONCLUSIONS

These findings highlight that different aspects of BD are important for being employed versus maintaining stable employment. These findings indicate the need for more effective treatment strategies beyond symptom management.

Prenatal and perinatal risk factors for bipolar disorder: A systematic review and meta-analysis

BACKGROUND

Perinatal and prenatal risk factors may be implicated in the development of bipolar disorder, but literature lacks a comprehensive account of possible associations.

METHODS

We performed a systematic review and meta-analyses of observational studies detailing the association between prenatal and perinatal risk factors and bipolar disorder in adulthood by searching PubMed, Embase, Web of Science and Psycinfo for articles published in any language between January 1st, 1960 and September 20th, 2021. Meta-analyses were performed when risk factors were available in at least two studies.

FINDINGS

Twenty seven studies were included with 18 prenatal or perinatal factors reported across the literature. Peripartum asphyxia (k = 5, OR = 1.46 [1.02; 2.11]), maternal stress during pregnancy (k = 2, OR = 12.00 [3.30; 43.59]), obstetric complications (k = 6, OR = 1.41 [1.18; 1.69]), and birth weight less than 2500 g (k = 5, OR = 1.28 [1.04; 1.56]) were associated with an increased risk for bipolar disorder.

INTERPRETATION

Perinatal and prenatal risk factors are implicated in the pathogenesis of bipolar disorder, supporting a role of prenatal care in preventing the condition.

Prevalence and impact of antipsychotic discontinuation among commercially-insured patients with bipolar disorder

BACKGROUND

Antipsychotic discontinuation is common among patients with bipolar disorder, especially when psychotic symptoms are remitted. This analysis describes the prevalence, predictors, and economic impact of antipsychotic discontinuation among patients with bipolar disorder.

METHODS

A retrospective, observational study was conducted using administrative claims data in the IBM MarketScan Commercial Database. Patients with ≥1 claim with a diagnosis for bipolar disorder (manic or mixed) and newly-initiating antipsychotic therapy between 1 January 2011 and 30 June 2016 were included. Baseline characteristics were assessed in the 12 months prior to the initiation. Outcomes were assessed during a 24-month follow-up. Discontinuation of antipsychotic therapy was utilized as a predictor of healthcare costs in models adjusted for baseline characteristics. Using limited set of variables in the claims database, predictors of discontinuation were also assessed.

RESULTS

A total of 18,259 commercially-insured patients were identified as initiators of antipsychotics. Common comorbidities among the cohorts included major depressive disorder and dyslipidemia. Discontinuation was very common among these patients (85%). Major depressive disorder, drug abuse, and other substance abuse/dependency were predictive of discontinuation. Controlling for differences in baseline characteristics, discontinuation was associated with 33% higher inpatient and emergency visit costs (p <.001) among those using these services, and 24% higher total healthcare costs (p <.001) for the overall cohort.

CONCLUSIONS

Most patients with bipolar mania or mixed states discontinue antipsychotic treatment in less than 2 years. Antipsychotic discontinuation contributes to excess healthcare costs. Future research focusing on the reasons for discontinuation and tailoring disease management based on comorbidities may inform adherence improvement initiatives.

Are the epigenetic changes predictive of therapeutic efficacy for psychiatric disorders? A translational approach towards novel drug targets

The etiopathogenesis of mental disorders is not fully understood and accumulating evidence support that clinical symptomatology cannot be assigned to a single gene mutation, but it involves several genetic factors. More specifically, a tight association between genes and environmental risk factors, which could be mediated by epigenetic mechanisms, may play a role in the development of mental disorders. Several data suggest that epigenetic modifications such as DNA methylation, post-translational histone modification and interference of microRNA (miRNA) or long non-coding RNA (lncRNA) may modify the severity of the disease and the outcome of the therapy. Indeed, the study of these mechanisms may help to identify patients particularly vulnerable to mental disorders and may have potential utility as biomarkers to facilitate diagnosis and treatment of psychiatric disorders. This article summarizes the most relevant preclinical and human data showing how epigenetic modifications can be central to the therapeutic efficacy of antidepressant and/or antipsychotic agents, as possible predictor of drugs response.

Cognitive profiles in bipolar I disorder and associated risk factors: Using Wechsler adult intelligence scale—IV

Background

Despite the growing evidence of cognitive impairments in bipolar disorder (BD), little work has evaluated cognitive performances utilizing the latest version of the Wechsler Intelligence Scale-IV (WAIS-IV), which is one of the most widely used neurocognitive assessments in clinical settings. Furthermore, clinical characteristics or demographic features that negatively affect the cognitive functioning of BD were not systematically compared or evaluated. Accordingly, the present study aimed to examine the cognitive profile of bipolar I disorder (BD-I) patients and associated risk factors.

Methods

Participants included 45 patients, diagnosed with BD-I, current or most recent episode manic, and matching 46 healthy controls (HC). Cognitive performance was evaluated via WAIS-IV, and clinical characteristics of the BD-I group were examined via multiple self- and clinician-report questionnaires.

Results

Multivariate analysis of covariance (MANCOVA) results indicated that the BD-I group demonstrated significantly poorer performance compared to the HC group in subtests and indexes that reflect working memory and processing speed abilities. Redundancy analysis revealed that overall symptom severity, manic symptom severity, and anxiety were significant predictors of cognitive performance in BD-I, while age of onset, past mood disorder history, depression severity, and impulsiveness showed comparatively smaller predictive values.

Conclusion

The current study suggests cognitive deterioration in the cognitive proficiency area while generalized ability, including verbal comprehension and most of the perceptual reasoning skills, remain intact in BD-I. The identified risk factors of cognitive performance provide specific clinical recommendations for intervention and clinical decision-making.

Clinical and economic impact of long-acting injectable antipsychotics in patients previously treated with short-acting oral antipsychotics

BACKGROUND: Available literature supports the use of long-acting injectable (LAI) antipsychotics over short-acting oral (SAO) formulations. The majority of evidence is centered on patients with schizophrenia insured under the Medicaid benefit. OBJECTIVE: To assess real-world clinical and economic outcomes of LAI compared with SAO antipsychotics in patients with psychiatric conditions insured under commercial, health care exchange, or Medicare plans. METHODS: In this exploratory treatmenteffectiveness study, a retrospective, before and after study design was used to evaluate differences in clinical and economic outcomes in patients switching from SAO to LAI antipsychotics. Patients who had at least 1 claim for an LAI antipsychotic and a psychiatric diagnosis were considered eligible for the study if they were continuously enrolled in a commercial, health care exchange, or Medicare plan for 12 months before (preperiod) and 12 months after (postperiod) their first LAI antipsychotic claim. During the preperiod, patients were required to have filled at least a 30-day supply of any SAO antipsychotic medication. Clinical outcomes included health care resource utilization (eg, hospitalizations per member per year [PMPY]), adherence measures, and medication switch trends. Economic outcomes included total per member per month (PMPM) spending across the medical benefit alone, the pharmacy benefit alone, and the combined spending across both benefits. Additionally, we examined patient costs and health plan spending within each of these categories. RESULTS: There was a significant decrease in overall hospitalizations PMPY (1.80 vs 0.88; P < 0.001) and psychiatric hospitalizations PMPY (0.65 vs 0.20; P <0.001) when comparing patients treated with SAO antipsychotics in the preperiod to the same patients treated with LAI antipsychotics in the postperiod, respectively. No differences were observed in the percentage of days covered with SAO and LAI agents (87.4% vs 85.8%; P=0.312). More patients switched between SAO antipsychotics during the preperiod, as compared with the number who switched between LAI antipsychotics during the postperiod (57.4% vs 10.3%; P < 0.001). On average, patients switched medications sooner in the preperiod vs the postperiod (114.50 vs 211.26 days; P < 0.001). No difference was observed between the preperiod and postperiod in total spending PMPM ($3,798.76 vs $3,702.63; P = 0.826) CONCLUSIONS: Patients switching from SAO to LAI antipsychotics experienced fewer hospitalizations, with no change in overall spending. Adherence was similar, though fewer medication switches occurred and there was a longer time before switching medications with LAI compared with SAO antipsychotics DISCLOSURES: Funding for this study was provided by Highmark Inc., but the sponsor had no role in the study outside the final review of the submitted manuscript.

ROLE OF GUT MICROBIOTA IN DEPRESSION: UNDERSTANDING MOLECULAR PATHWAYS, RECENT RESEARCH, AND FUTURE DIRECTION

Gut microbiota, also known as the "second brain" in humans because of the regulatory role it has on the central nervous system via neuronal, chemical and immune pathways. It has been proven that there exists a bidirectional communication between the gut and the brain. Increasing evidence supports that this crosstalk is linked to the etiology and treatment of depression. Reports suggest that the gut microbiota control the host epigenetic machinery in depression and gut dysbiosis causes negative epigenetic modifications via mechanisms like histone acetylation, DNA methylation and non-coding RNA mediated gene inhibition. The gut microbiome can be a promising approach for the management of depression. The diet and dietary metabolites like kynurenine, tryptophan, and propionic acid also greatly influence the microbiome composition and thereby, the physiological activities. This review gives a bird-eye view on the pathological updates and currently used treatment approaches targeting the gut microbiota in depression.

Risk of Suicide in Patients With Bipolar Disorder Having Comorbid Chronic Pain Disorders: Insights From the Nationwide Inpatient Sample Data From 2016 to 2018

ABSTRACT

Bipolar disorders (BDs) are associated with significant risk of suicide. BD patients (age ≥18 years) admitted to the hospital were identified from the National Inpatient Sample dataset. Based on the secondary diagnosis of chronic pain disorder (CPD), patients were stratified into two groups (1) BD with CPD (BD + CPD) and (2) BD without CPD (BD - CPD). Groups were matched (1:1) for the type of BD and compared for baseline characteristics and suicidal ideation/attempt (SI/SA). Compared with BD - CPD, most patients in the BD + CPD group were older (mean age, 47.6 vs. 40.4 years), female (58.4% vs. 55.2%), and white (77.2% vs. 66.7%). After adjusting for covariates, compared with the BD - CPD group, the BD + CPD group had 21% more risk of SI/SA (odds ratio, 1.21, p < 0.001). CPD is independently associated with the increased risk of suicide among patients with BD. Thus, comorbid CPD among patients admitted for BD can be an essential risk factor for suicide.

dbBIP: a comprehensive bipolar disorder database for genetic research

Bipolar disorder (BIP) is one of the most common hereditary psychiatric disorders worldwide. Elucidating the genetic basis of BIP will play a pivotal role in mechanistic delineation. Genome-wide association studies (GWAS) have successfully reported multiple susceptibility loci conferring BIP risk, thus providing insight into the effects of its underlying pathobiology. However, difficulties remain in the extrication of important and biologically relevant data from genetic discoveries related to psychiatric disorders such as BIP. There is an urgent need for an integrated and comprehensive online database with unified access to genetic and multi-omics data for in-depth data mining. Here, we developed the dbBIP, a database for BIP genetic research based on published data. The dbBIP consists of several modules, i.e.: (i) single nucleotide polymorphism (SNP) module, containing large-scale GWAS genetic summary statistics and functional annotation information relevant to risk variants; (ii) gene module, containing BIP-related candidate risk genes from various sources and (iii) analysis module, providing a simple and user-friendly interface to analyze one's own data. We also conducted extensive analyses, including functional SNP annotation, integration (including summary-data-based Mendelian randomization and transcriptome-wide association studies), co-expression, gene expression, tissue expression, protein-protein interaction and brain expression quantitative trait loci analyses, thus shedding light on the genetic causes of BIP. Finally, we developed a graphical browser with powerful search tools to facilitate data navigation and access. The dbBIP provides a comprehensive resource for BIP genetic research as well as an integrated analysis platform for researchers and can be accessed online at http://dbbip.xialab.info. Database URL:  http://dbbip.xialab.info.

Using decision-analysis modelling to estimate the economic impact of the identification of unrecognised bipolar disorder in primary care: the untapped potential of screening

Background

Patients with bipolar disorder are often unrecognised and misdiagnosed with major depressive disorder leading to higher direct costs and pressure on the medical system. Novel screening tools may mitigate the problem. This study was aimed at investigating the direct costs of bipolar disorder misdiagnosis in the general population, evaluating the impact of a novel bipolar disorder screening algorithm, and comparing it to the established Mood Disorder Questionnaire. A decision analysis model was built to quantify the utility of one-time screening for bipolar disorder in primary care adults presenting with a depressive episode. A hypothetical population of interest comprised a healthcare system of one million users, corresponding to 15,000 help-seekers diagnosed with major depressive disorder annually, followed for five years. The model was used to calculate the impact of screening for bipolar disorder, compared to no screening, in terms of accuracy and total direct costs to a third-party payer at varying diagnostic cut-offs. Decision curve analysis was used to evaluate clinical utility.

Results

Compared to no screening, one-time screening for bipolar disorder using the algorithm reduced the number of misdiagnoses from 680 to 260, and overall direct costs from $50,936 to $49,513 per patient, accounting for $21.3 million savings over the five-year period. The algorithm outperformed the Mood Disorder Questionnaire, which yielded 367 misdiagnoses and $18.3 million savings over the same time. Decision curve analysis showed the screening model was beneficial.

Conclusions

Utilisation of bipolar disorder screening strategies could lead to a substantial reduction in human suffering by reducing misdiagnosis, and also lessen the healthcare costs.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40345-022-00261-9.

A Public Health Perspective of Post-Traumatic Stress Disorder

Trauma exposure is one of the most important and prevalent risk factors for mental and physical ill-health. Prolonged or excessive stress exposure increases the risk of a wide variety of mental and physical symptoms, resulting in a condition known as post-traumatic stress disorder (PTSD). The diagnosis might be challenging due to the complex pathophysiology and co-existence with other mental disorders. The prime factor for PTSD development is exposure to a stressor, which variably, along with peritraumatic conditions, affects disease progression and severity. Additionally, many factors are thought to influence the response to the stressor, and hence reshape the natural history and course of the disease. With sufficient knowledge about the disease, preventive and intervenient methods can be implemented to improve the quality of life of the patients and to limit both the medical and economic burden of the disease. This literature review provides a highlight of up-to-date literature on traumatic stress, with a focus on causes or triggers of stress, factors that influence response to stress, disease burden, and the application of the social-ecological public health model of disease prevention. In addition, it addresses therapeutic aspects, ethnic differences in traumatic stress, and future perspectives, including potential biomarkers.

Closing the Care Gap for People with Severe and Persistent Mental Illness: Collaborative Care, Telehealth, and Clinical Pharmacy

People with severe and persistent mental illness (SPMI) frequently struggle to maintain their recovery from recurring suicidality, psychosis, and debilitating mood episodes. They also face a high risk of chronic health conditions. Traditional - often short-term - psychiatric care is ill-equipped to meet the health needs of people with SPMI. Patients often require regular and sustained follow-up to support medication effectiveness and adherence and to screen for and treat cardiovascular disease and other common health risks. Kaiser Permanente Northern California has implemented a novel telehealth-based collaborative care program, SPMI Population Care, led by advanced practice clinical pharmacists, to improve the mental and physical health of its patients with SPMI. Although the individual program components of telehealth, collaborative care, and clinical pharmacy service have been employed successfully in the past for mental health care, the SPMI Population Care model combines the components and extends this approach to individuals at the most severe end of the psychiatric illness spectrum.

Efficacy and tolerability of therapies set under pharmacogenetic tools suggestions: A systematic review with meta-analysis about mood disorders

BACKGROUND

Bipolar Disorder (BD) and Major Depressive Disorder (MDD) have a huge impact on functioning and quality of life; moreover, they are linked to extensive direct and indirect costs. This systematic review with meta-analysis aims to evaluate the utility of pharmacogenetic tests (PGT) in terms of efficacy and tolerability into the routine clinical treatment of mood disorders.

MATERIALS AND METHODS

The first part of the review is a qualitative overview of the PGTs used in the included studies. The second part aims to compare, in terms of efficacy and tolerability, patients affected by BD and MDD treated as usual (TAU), according to the clinicians' prescribing attitude, versus patients whose psychopharmacological treatments were set up following the PGT suggestions.

RESULTS

6 studies on MDD and 2 studies on BD were included. Regarding MDD, the meta-analysis shows a significantly higher number of patients achieving better outcome in terms of efficacy, through the evaluation of response rate and remission rate at the HDRS (Hamilton Depression Rating Scale) in the group of patients treated under the PGT suggestions; regarding BD the meta-analysis does not show any significant difference in terms of efficacy. In terms of adverse events, the available data suggest promising results about the utility of PGT to set more tolerated therapies.

CONCLUSIONS

Although the limited number of studies, results confirm the importance of PGT in setting up psychopharmacological therapies as a support to clinicians' choices.