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Background: Bipolar disorder is a psychiatric disorder characterized by mood swings between manic and depressed states that causes psychosocial problems. Cognitive function deteriorates with each recurrence, making it important to maintain remission through continued treatment. Bipolar disorder often co-occurs with alcohol dependence, which is known to lead to decreased treatment adherence and increased suicide risk. However, the real-world clinical determinants of alcohol dependence in outpatients with bipolar disorder in Japan remain unclear. Methods: We conducted an observational study targeting 2392 patients with bipolar disorder using data from the MUSUBI study, a joint project of the Japanese Association of Neuro-Psychiatric Clinics and the Japanese Society of Clinical Neuropsychopharmacology. After determining the prevalence of alcohol dependence and the sociodemographic characteristics of patients with bipolar disorder, multivariate analysis was performed to identify risk factors for alcohol comorbidity. Results: The prevalence of alcohol dependence among outpatients with bipolar disorder in this study was 5.7%. The prevalence was 7.6% for males and 3.1% for females. The results of the binomial logistic regression analysis revealed that bipolar I disorder, manic state, comorbidities with other psychiatric disorders, male sex, and suicidal ideation were significantly associated with alcohol dependence. Stratified analysis by gender showed that alcohol dependence was more strongly associated with the presence of suicidal ideation in women than in men. Limitation: First, because this was an observational study with a cross-sectional design, causal relationships between factors cannot be determined. In addition, this study included outpatients in Japan but lacked information on inpatients. Therefore, it was considered necessary to conduct the study on a larger population in order to generate more robust evidence. Conclusions: We found that outpatients with bipolar disorder, especially men, had higher rates of alcohol dependence overall than the general population in Japan. In addition, the relationship between alcohol dependence and suicidal ideation was stronger in women than in men with bipolar disorder. There was a strong association between manic states and alcohol dependence in outpatients with bipolar disorder. These results are useful to clinicians because they reinforce real-world clinical evidence for the treatment of bipolar disorder and co-occurring alcohol dependence. [ABSTRACT FROM AUTHOR]

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. 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. 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. 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. Psychotropic 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. [ABSTRACT FROM AUTHOR]

Purpose: To clarify the relationship between the length of unstable periods and employment status of patients with bipolar disorder. Patients and Methods: Medical records of outpatients with bipolar disorder who visited 176 member clinics of the Japanese Association of Neuro-Psychiatric Clinics were investigated during September–October 2016, and details of their medical care and employment were surveyed using a questionnaire. The odds ratios (ORs) of length of unstable period and unemployment were analyzed with a logistic regression model. Results: The study included 816 patients, of whom 707 were employed full-time (continuous employment) and 70 were unemployed (loss of employment). Univariate analysis showed that ORs were statistically significant for patients who were unstable for "almost all" of the year (OR = 10.4 [4.48– 24.28] p < 0.001), but not for "few" unstable periods (OR = 1.06 [0.56– 1.98] p = 0.849) and for "significant" unstable periods (OR = 1.65 [0.73– 3.74] p = 0.231) were not significantly different. Multivariate analysis showed that ORs were statistically "significant" for patients who were unstable for "almost all" (OR = 12.1 [4.37– 33.3] p < 0.001), but not for "few" unstable periods (OR = 1.07 [0.55– 2.07] p = 0.846) and for "significant" unstable periods (OR = 1.62 [0.66– 3.98] p = 0.290) did not differ significantly. Conclusion: Patients with bipolar disorder with a long unstable period were associated with a higher risk of unemployment. [ABSTRACT FROM AUTHOR]

Background: Bipolar disorder is a mental illness in which manic and depressive states are repeated, causing psychosocial dysfunction. Manic/hypomanic episodes cause problems with interpersonal, social and financial activities, but there is limited evidence regarding the predictors of manic/hypomanic episodes in real-world clinical practice. Methods: The multicenter treatment survey on bipolar disorder (MUSUBI) in Japanese psychiatric clinics was administered in an observational study that was conducted to accumulate evidence regarding bipolar disorder in real-world clinical practice. Psychiatrists were asked to complete a questionnaire about patients with bipolar disorder who visited 176 member clinics of the Japanese Association of Neuro-Psychiatric Clinics by conducting a retrospective medical record survey. Our study extracted baseline patient characteristics from September to October 2016, including comorbidities, mental status, duration of treatment, Global Assessment of Functioning (GAF) score, and pharmacological treatment details. We investigated the presence or absence of manic/hypomanic episodes over the course of one year from baseline to September-October 2017. Results: In total, 2231 participants were included in our study, 29.1% of whom had manic/hypomanic episodes over the course of one year from baseline. Binomial logistic regression analysis revealed that the presence of manic/hypomanic episodes was correlated with lower baseline GAF scores, rapid cycling, personality disorder, bipolar I disorder, and a mood state with manic or mixed features. Substance abuse was also a risk factor for manic episodes. There was no significant association between a baseline antidepressant prescription and manic/hypomanic episodes. Conclusions: In Japan, 29.1% of outpatients with bipolar disorder had manic/hypomanic episodes over the course of one year. Our study suggested that a low GAF score, rapid cycling, personality disorder, bipolar I disorder, substance abuse, and baseline mood state could be predictors of manic/hypomanic episodes. Based on our findings, an antidepressant prescription is not a predictor of manic/hypomanic episodes. [ABSTRACT FROM AUTHOR]

Objective: This study aims to clarify the relevant factors influencing practitioners' methods of prescribing medications for bipolar disorder, in a nation‐wide survey in Japan. Methods: The clinical records of 3130 outpatients with bipolar disorder were consecutively reviewed from 176 psychiatric outpatient clinics. Fifteen parameters, that is, five patients' including five general characteristics (sex, age, education, occupation, and social adjustment), five patients' aspects of mental functioning (onset age, comorbid mental illness, rapid‐cycling, psychopathologic severity, and followed‐up years), and five practitioners' characteristics (sex, age, specialist experience, clinic standing years, and location), were evaluated. The number of psychotropic drugs (mood stabilizers, antidepressants, antipsychotic drugs, anxiolytics, and hypnotics) was used as an index of pharmacotherapy. Converted data from each practitioner‐unit were analyzed. Results: Seven factors (patient's social adjustment, patient's psychopathology, patient's comorbid mental disorders, patient's followed‐up years, doctor's age, clinic running years, and patient's education years) were correlated to the number of psychotropic drugs. Multiple regression analysis showed that the severity of illness (poor social adjustment, and comorbid mental illness) and an intractable disease course (long followed‐up years), were significantly associated with the number of psychotropic drugs. Conclusion: Our findings indicated that patient‐related conditions affected psychotropic polypharmacy more strongly than did practitioner‐related conditions. [ABSTRACT FROM AUTHOR]

Purpose: The aim of this study was to identify factors associated with non-remission in bipolar disorder. Patients and Methods: The multicenter treatment survey for bipolar disorder in psychiatric outpatient clinics (MUSUBI) study used a questionnaire administered at 176 clinics throughout Japan from September to October 2016. Clinic psychiatrists performed a retrospective medical record survey of consecutive cases with bipolar disorder. Patients were considered to be in remission if they met all of the following criteria: they were not in a mixed state, their manic or depressive symptoms were either borderline or nonexistent (corresponding to 2 or 1 points on the Clinical Global Impressions Scale, Bipolar Version), and their psychiatrists clinically considered them to be in remission. Enrolled patients were classified into remitters group and non-remitters group and demographic and clinical characteristics were contrasted between the groups. Non-remitters were compared with remitters, using a series of logistic regression analyses. Results: A total of 3130 patients (1420 men; mean age: 50.3 years) were included in this study; 1307 patients (41.8%) were in remission. Of the remaining 1823 patients, 1260 (40.3%) had mild to severe depression, 261 (8.3%) suffered from manic or hypomanic episodes, and 302 (9.6%) were in a mixed state. Logistic regression analyses found the following eight factors to be significantly correlated with non-remission in patients with bipolar disorder: female gender, younger age, unemployed status, rapid cycling pattern, comorbid alcohol/substance abuse, poorer social function, lithium non-use, and antidepressant use. Conclusion: The MUSUBI study, the largest nationwide investigation on bipolar disorder, identified eight clinically relevant factors associated with non-remission in bipolar patients. They have important clinical implications; further prospective studies are necessary to replicate these findings and to guide better managements for those in serious needs. [ABSTRACT FROM AUTHOR]

There is limited information available on the prescription of psychotropic agents to patients with bipolar I (BD-I) and bipolar II disorder (BD-II). The purpose of this study was to investigate the characteristics of drug therapy in BD-I and BD-II outpatients, particularly with regard to antidepressants. In 2017, the MUlticenter treatment SUrvey for BIpolar disorder in Japanese psychiatric clinics (MUSUBI) study collected data on current mental status, medications, and other factors from 2774 outpatients with BD-I or BD-II. There were significant differences in the rates of prescriptions for mood stabilizers, antipsychotics and antidepressants. Mood stabilizers and antipsychotics were prescribed at higher rates to patients with BD-I (mood stabilizers; BD-I 86.0%, BD-II 80.8%, p < 0.001; antipsychotics; BD-I 61.5%, BD-II 47.8%, p < 0.001), and antidepressants were prescribed at higher rates to patients with BD-II (BD-I 32.1%, BD-II 46.4%, p < 0.001). The most commonly prescribed antidepressants were escitalopram for patients with BD-I and duloxetine for patients with BD-II. Selective serotonin reuptake inhibitors (SSRIs) were the most common class of antidepressants prescribed to patients with BD. With regard to combination therapy, combinations containing antidepressants were often prescribed to patients with BD-II. There was a difference in the prescription of psychotropic agents between patients with BD-I and BD-II. The outpatient prescriptions for BD in Japan were mood stabilizers and antipsychotics, which generally followed the guidelines. There is insufficient evidence regarding the effects of the prescribed antidepressants and the risk of manic episodes, and further evidence needs to be collected. • Investigated the difference in drug therapy between bipolar I and II disorder. • Antidepressants were prescribed at a high rate to patients with bipolar II disorder. • Escitalopram were most commonly prescribed antidepressants for bipolar I disorder. • Duloxetine were most commonly prescribed antidepressants for bipolar II disorder. • Selective serotonin reuptake inhibitors were the most prescribed antidepressant class. [ABSTRACT FROM AUTHOR]

Objective: In patients with bipolar disorder (BD), rapid cycling (RC) presents a risk for a more severe illness, while euthymia (EUT) has a better prognosis. This study focused on the progression of RC and EUT, which are contrasting phenomenology, and aimed to clarify the influence of patient backgrounds and prescription patterns on these different progressions, using a large sample from the first and second iterations of a multicenter treatment survey for BD in psychiatric clinics (MUSUBI)., Methods: In the cross-sectional study (MUSUBI), a questionnaire based on a retrospective medical record survey of consecutive BD cases ( N  = 2,650) was distributed. The first survey was conducted in 2016, and the second one in 2017. The questionnaire collected information on patient backgrounds, current episodes, and clinical and prescribing characteristics., Results: In the first survey, 10.6% of the participants had RC and 3.6% had RC for two consecutive years, which correlated with BP I (Bipolar disorder type I), suicidal ideation, duration of illness, and the use of lithium carbonate and antipsychotic medications. Possible risk factors for switching to RC were comorbid developmental disorders and the prescription of anxiolytics and sleep medication. Moreover, 16.4% of the participants presented EUT in the first survey, and 11.0% presented EUT for two consecutive years. Possible factors for achieving EUT included older age; employment; fewer psychotic symptoms and comorbid personality disorders; fewer antidepressants, antipsychotics, and anxiolytics, and more lithium prescriptions., Conclusion: RC and EUT generally exhibit conflicting characteristics, and the conflicting social backgrounds and factors contributing to their outcomes were distinctive. Understanding these clinical characteristics may be helpful in clinical practice for management of patients with BD., Competing Interests: MK has received grant funding from the Japanese Ministry of Health, Labor and Welfare, the Japan Society for the Promotion of Science, SENSHIN Medical Research Foundation, the Japan Research Foundation for Clinical Pharmacology, and the Japanese Society of Clinical Neuropsychopharmacology and speaker’s honoraria from Sumitomo Dainippon Pharma, Otsuka, Meiji-Seika Pharma, Eli Lilly, MSD K.K., Pfizer, Janssen Pharmaceutical, Shionogi, Mitsubishi Tanabe Pharma, Takeda Pharmaceutical, Lundbeck, and Ono Pharmaceutical, and participated in an advisory/review board for Otsuka, Sumitomo Dainippon Pharma, Shionogi, and Boehringer Ingelheim. YK has received consultant fees from Pfizer and Meiji-Seika Pharma and speaker’s honoraria from Meiji-Seika Pharma, MSD, Eli Lilly, Janssen Pharmaceutical, Dainippon Sumitomo Pharma, Mitsubishi Tanabe Pharma, Yoshitomi Yakuhin, Otsuka Pharmaceutical, Takeda Pharmaceutical, Lundbeck Japan, and Eisai. TA has received speaker’s honoraria from Eli Lilly, Otsuka Pharmaceutical, Sumitomo Dainippon Pharma and Eisai. HU has received manuscript fees or speaker’s honoraria from Eisai Co., Ltd., Janssen Pharmaceutical, Kyowa Pharmaceutical, Meiji Seika Pharma, Otsuka Pharmaceutical, Pfizer, Shionogi, Dainippon Sumitomo Pharma, Takeda Pharmaceutical, Lundbeck Japan, and Yoshitomi Yakuhin. KE has received speaker’s honoraria from Eli Lilly, Meiji Seika Pharma, Mitsubishi Tanabe Pharma, MSD, Otsuka Pharmaceutical, Pfizer, Sumitomo Dainippon Pharma, Kyowa, Yoshitomi Yakuhin, and Takeda Pharmaceutical. EK has received speaker’s honoraria from Daiichi Sankyo, Eisai, Eli Lilly, Janssen Pharmaceutical, Kyowa Pharmaceutical, Meiji Seika Pharma, Mitsubishi Tanabe Pharma, MSD, Otsuka Pharmaceutical, Pfizer, Sumitomo Dainippon Pharma, UCB, and Viatris. SH has received manuscript fees or speaker’s honoraria from Eli Lilly, Janssen Pharmaceutical, Kyowa Pharmaceutical, Meiji Seika Pharma, Mitsubishi Tanabe Pharma, Mochida Pharmaceutical, Ono Pharmaceutical, Otsuka Pharmaceutical, Pfizer, Shionogi, Sumitomo Dainippon Pharma, Takeda Pharmaceutical, and Yoshitomi Yakuhin. EG has received manuscript fees or speaker’s honoraria from Eli Lilly, Janssen Pharmaceutical, Meiji Seika Pharma, Mitsubishi Tanabe Pharma, MSD, Otsuka Pharmaceutical, Takeda Pharmaceutical, Eisai, Ono Pharmaceutical, Kyowa Pharmaceutical Industry, and Sumitomo Dainippon Pharma. RY has received speaker’s honoraria from Eli Lilly, Dainippon Sumitomo, Otsuka, and Esai. AN has received speaker’s honoraria from Pfizer, Eli Lilly, Otsuka, Janssen Pharmaceutical, Mitsubishi Tanabe Pharma, Mochida, Dainippon Sumitomo, and NTT Docomo, and participated in an advisory board for Takeda, Meiji Seika, Tsumura, and Yoshitomi Yakuhin. TKik has received consultant fees from Takeda Pharmaceutical and the Center for Cognitive Behavioral Therapy and Training. TT has received consultant fees from Pfizer and speaker’s honoraria from Eli Lilly, Meiji-Seika Pharma, MSD, Janssen Pharmaceutical, Dainippon Sumitomo Pharma, Mitsubishi Tanabe Pharma, Yoshitomi Yakuhin, Mochida Pharmaceutical, Otsuka Pharmaceutical, Kyowa Pharmaceutical, and Takeda Pharmaceutical. KW has received manuscript fees or speaker’s honoraria from Daiichi Sankyo, Eisai, Eli Lilly, GlaxoSmithKline, Janssen Pharmaceutical, Kyowa Pharmaceutical, Meiji Seika Pharma, Mitsubishi Tanabe Pharma, MSD, Otsuka Pharmaceutical, Pfizer, Shionogi, Sumitomo Dainippon Pharma, Takeda Pharmaceutical, and Yoshitomi Yakuhin, has received research/grant support from Daiichi Sankyo, Eisai, MSD, Mitsubishi Tanabe Pharma, Meiji Seika Pharma, Otsuka Pharmaceutical, Pfizer, Shionogi, Sumitomo Dainippon Pharma, Takeda Pharmaceutical, and is a consultant for Boehringer Ingelheim, Daiichi Sankyo, Eisai, Eli Lilly, Kyowa Pharmaceutical, Lundbeck Japan, Otsuka Pharmaceutical, Sumitomo Dainippon Pharma, Taisho Toyama Pharmaceutical, Takeda Pharmaceutical, and Viatris. NY-F has received grant/research support or honoraria from, and received speaker’s honoraria of Dainippon-Sumitomo Pharma, Mochida Pharmaceutical, MSD, and Otsuka Pharmaceutical. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Takano, Kato, Adachi, Kubota, Azekawa, Ueda, Edagawa, Katsumoto, Goto, Hongo, Miki, Tsuboi, Yasui-Furukori, Nakagawa, Kikuchi, Watanabe, Kinoshita and Yoshimura.)

Background: Bipolar disorder is a psychiatric disorder that causes recurrent manic and depressive episodes, leading to decreased levels of social functioning and suicide. Patients who require hospitalization due to exacerbation of bipolar disorder have been reported to subsequently have poor psychosocial functioning, and so there is a need to prevent hospitalization. On the other hand, there is a lack of evidence regarding predictors of hospitalization in real-world clinical practice., Methods: The multicenter treatment survey on bipolar disorder (MUSUBI) in Japanese psychiatric clinics was an observational study conducted to provide evidence regarding bipolar disorder in real-world clinical practice. Psychiatrists were asked, as part of a retrospective medical record survey, to fill out a questionnaire about patients with bipolar disorder who visited 176 member clinics of the Japanese Association of Neuro-Psychiatric Clinics. Our study extracted baseline patient characteristics from records dated between September and October 2016, including comorbidities, mental status, duration of treatment, Global Assessment of Functioning (GAF) score, and pharmacological treatment details. The incidence and predictors of hospitalization among patients with bipolar disorder over a 1-year period extending from that baseline to September-October 2017 were examined., Results: In total, 2,389 participants were included in our study, 3.06% of whom experienced psychiatric hospitalization over the course of 1 year from baseline. Binomial logistic regression analysis revealed that the presence of psychiatric hospitalization was correlated with bipolar I disorder, lower baseline GAF scores, unemployment, substance abuse and manic state., Conclusions: Our study revealed that 3.06% of outpatients with bipolar disorder were subjected to psychiatric hospitalization during a 1-year period that extended to September-October 2017. Our study suggested that bipolar I disorder, lower baseline GAF scores, unemployment, substance abuse and baseline mood state could be predictors of psychiatric hospitalization. These results may be useful for clinicians seeking to prevent psychiatric hospitalization for bipolar disorder., Competing Interests: YK has received consultant fees from Pfizer and Meiji-Seika Pharma and speaker's honoraria from Meiji-Seika Pharma, MSD, Eli Lilly, Janssen Pharmaceutical, Dainippon Sumitomo Pharma, Mitsubishi Tanabe Pharma, Yoshitomi Yakuhin, Otsuka Pharmaceutical, Takeda Pharmaceutical, Lundbeck Japan, and Eisai. TA has received speaker's honoraria from Eli Lilly, Otsuka Pharmaceutical, Sumitomo Dainippon Pharma, and Eisai. HU has received manuscript fees or speaker's honoraria from Eli Lilly, Janssen Pharmaceutical, Meiji Seika Pharma, Mitsubishi Tanabe Pharma, MSD, Otsuka Pharmaceutical, Pfizer, Sumitomo Dainippon Pharma, Takeda Pharmaceutical, Kyowa Pharmaceutical, Shionogi, Lundbeck Japan, and Yoshitomi Yakuhin. KE has received speaker's honoraria from Eli Lilly, Meiji Seika Pharma, Mitsubishi Tanabe Pharma, MSD, Otsuka Pharmaceutical, Pfizer, Sumitomo Dainippon Pharma, Kyowa, Yoshitomi Yakuhin, and Takeda Pharmaceutical. EK has received speaker's honoraria from Daiichi Sankyo, Eisai, Eli Lilly, Janssen Pharmaceutical, Kyowa Pharmaceutical, Meiji Seika Pharma, Mitsubishi Tanabe Pharma, MSD, Otsuka Pharmaceutical, Pfizer, Sumitomo Dainippon Pharma, UCB, and Viatris. SH has received manuscript fees or speaker's honoraria from Eli Lilly, Janssen Pharmaceutical, Kyowa Pharmaceutical, Meiji Seika Pharma, Mitsubishi Tanabe Pharma, Mochida Pharmaceutical, Ono Pharmaceutical, Otsuka Pharmaceutical, Pfizer, Shionogi, Sumitomo Dainippon Pharma, Takeda Pharmaceutical, and Yoshitomi Yakuhin. EG has received manuscript fees or speaker's honoraria from Eli Lilly, Janssen Pharmaceutical, Meiji Seika Pharma, Mitsubishi Tanabe Pharma, MSD, Otsuka Pharmaceutical, Takeda Pharmaceutical, Eisai, Ono Pharmaceutical, Kyowa Pharmaceutical Industry, and Sumitomo Dainippon Pharma. MK has received grant funding from the Japanese Ministry of Health, Labor and Welfare, the Japan Society for the Pro- motion of Science, SENSHIN Medical Research Foundation, the Japan Research Foundation for Clinical Pharmacology and the Japanese Society of Clinical Neuropsychopharmacology and speaker's honoraria from Sumitomo Dainippon Pharma, Otsuka, Meiji-Seika Pharma, Eli Lilly, MSD K.K., Pfizer, Janssen Pharmaceutical, Shionogi, Mitsubishi Tanabe Pharma, Takeda Pharmaceutical, Lundbeck and Ono Pharmaceutical and participated in an advisory/review board for Otsuka, Sumitomo Dainippon Pharma, Shionogi and Boehringer Ingelheim. RY has received speaker's honoraria from Eli Lilly, Dainippon Sumitomo, Otsuka, and Esai. AN has received speaker's honoraria from Pfizer, Eli Lilly, Otsuka, Janssen Pharmaceutical, Mitsubishi Tanabe Pharma, Mochida, Dainippon Sumitomo and NTT Docomo, and participated in an advisory board for Takeda, Meiji Seika, Tsumura and Yoshitomi Yakuhin. TK has received consultant fees from Takeda Pharmaceutical and the Center for Cognitive Behavioral Therapy and Training. TT has received consultant fees from Pfizer and speaker's honoraria from Eli Lilly, Meiji- Seika Pharma, MSD, Janssen Pharmaceutical, Dainippon Sumitomo Pharma, Mitsubishi Tanabe Pharma, Yoshitomi Yakuhin, Mochida Pharmaceutical, Otsuka Pharmaceutical, Kyowa Pharmaceutical, and Takeda Pharmaceutical. KW has received manuscript fees or speaker's honoraria from Daiichi Sankyo, Eisai, Eli Lilly, GlaxoSmithKline, Janssen Pharmaceutical, Kyowa Pharmaceutical, Meiji Seika Pharma, Mitsubishi Tanabe Pharma, MSD, Otsuka Pharmaceutical, Pfizer, Shionogi, Sumitomo Dainippon Pharma, Takeda Pharmaceutical, and Yoshitomi Yakuhin, has received research/grant support from Daiichi Sankyo, Eisai, MSD, Mitsubishi Tanabe Pharma, Meiji Seika Pharma, Otsuka Pharmaceutical, Pfizer, Shionogi, Sumitomo Dainippon Pharma, Takeda Pharmaceutical, and is a consultant for Boehringer Ingelheim, Daiichi Sankyo, Eisai, Eli Lilly, Kyowa Pharmaceutical, Lundbeck Japan, Otsuka Pharmaceutical, Sumitomo Dainippon Pharma, Taisho Toyama Pharmaceutical, Takeda Pharmaceutical, and Viatris. KS has received research support from Novartis Pharma, Dainippon Sumitomo Pharma, Astellas Pharma, Meiji Seika Pharma, Eisai, Pfizer, Otsuka Pharmaceutical, Daiichi Sankyo, and Takeda Pharmaceutical and honoraria from Eisai, Mitsubishi Tanabe Pharma, Takeda Pharmaceutical, Meiji Seika Pharma, Janssen Pharmaceutical, Shionogi, Dainippon Sumitomo Pharma, Daiichi Sankyo, and Pfizer. NY-F has received grant/research support or honoraria from, and received speaker's honoraria of Dainippon-Sumitomo Pharma, Mochida Pharmaceutical, MSD, and Otsuka Pharmaceutical. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Tokumitsu, Yasui-Furukori, Adachi, Kubota, Watanabe, Miki, Azekawa, Edagawa, Katsumoto, Hongo, Goto, Ueda, Kato, Nakagawa, Kikuchi, Tsuboi, Watanabe, Shimoda and Yoshimura.)

Objective: : Several evidence-based practice guidelines have been developed to better treat bipolar disorder. However, the articles cited in these guidelines were based on clinical or basic studies with specific conditional settings and were not sufficiently based on real-world clinical practice. In particular, there was little information on the doses of mood stabilizers., Methods: The MUlticenter treatment SUrvey on BIpolar disorder in Japanese psychiatric clinics (MUSUBI) is a study conducted to accumulate evidence on the real-world practical treatment of bipolar disorder. The questionnaire included patient characteristics such as comorbidities, mental status, treatment period, Global Assessment of Functioning (GAF) score, and details of pharmacological treatment., Results: Most patients received mood stabilizers such as lithium (n = 1,317), valproic acid (n = 808), carbamazepine (n = 136), and lamotrigine (n = 665). The dose of lithium was correlated with age, body weight, number of episodes, depression and GAF. The dose of valproic acid was correlated with body weight, number of episodes, presence of a rapid cycle and GAF. The dose of carbamazepine was correlated with age, mania, and the presence of a rapid cycle. The dose of lamotrigine was correlated with the number of episodes, depression, mania, psychotic features, and the presence of a rapid cycle. Doses of coadministered mood stabilizers were significantly correlated, except for the combination of valproic acid and lamotrigine., Conclusion: The dose of mood stabilizers was selectively administered based on several factors, such as age, body composition, current mood status and functioning. Further prospective studies are required to confirm these findings.