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Fang CZ, Lau N, Chan JKN, Wong CSM, Chang WC. Temporal trends of antipsychotic utilization patterns in 62,607 patients with schizophrenia-spectrum disorders in Hong Kong: An 11-year population-based study with joinpoint regression analysis. J Psychiatr Res 2025; 183:144-149. [PMID: 39961232 DOI: 10.1016/j.jpsychires.2025.02.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2024] [Revised: 12/07/2024] [Accepted: 02/11/2025] [Indexed: 03/10/2025]
Abstract
Antipsychotics are the mainstay treatment for schizophrenia-spectrum disorders (SSD). Existing data on real-world antipsychotic utilization patterns were primarily derived from Western countries and disregarded specific psychiatric diagnosis. There is limited research in Asia in this respect. This population-based study identified 62,607 patients aged ≥18-years with an SSD diagnosis who redeemed at least one antipsychotic prescription within 2006-2016, using data from health-record database of Hong-Kong public healthcare-services. We calculated annual prescription rates (per 1000 persons) for any antipsychotic, antipsychotic drug-classes (first- or second-generation-antipsychotics, FGAs or SGAs), formulations (oral or long-acting injectable, LAI), and individual antipsychotics. Joinpoint-regression analyses were performed to assess temporal antipsychotic prescription trends, quantified by average-annual-percent-change (AAPC), with 95% confidence-intervals (CIs). Result showed that overall antipsychotic prescription rate declined over time from 84.7% in 2006 to 79.9% in 2016. Oral-SGA use gradually surpassed oral-FGA use, rising from 23.8% in 2006 to 54.1% in 2016. LAI-use was relatively low in prevalence and significantly, albeit modestly, dropped from 23.7% to 18.8% over 11 years (AAPC: -2.20[-2.50 to -1.09]), but LAI-SGA use raised over time (APPC: 12.96 [6.59-19.70]), mainly driven by paliperidone-LAI. Risperidone and olanzapine represented two most frequently-prescribed oral-SGAs, while clozapine prescription rate was generally low (4.3%-6.1%), but showed significant upward trend (AAPC: 3.36[2.95-3.78]) over the study period. Our results affirm significant rising trend of SGA prescription over time. Yet, clozapine and LAIs remained relatively underutilized, indicating discrepancies between clinical-treatment recommendations and real-world prescribing practices. Further investigation is needed to clarify barriers to guideline-concordant practices to optimize treatment outcome.
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Affiliation(s)
- Catherine Zhiqian Fang
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong
| | - Nicole Lau
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong
| | - Joe Kwun Nam Chan
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong
| | - Corine Sau Man Wong
- School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong
| | - Wing Chung Chang
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong; State Key Laboratory for Brain and Cognitive Sciences, University of Hong Kong, Hong Kong.
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Kikuchi Y, Komatsu H, Tomita H. Antipsychotic Monotherapy vs Polytherapy for Pneumonia Risk. JAMA Psychiatry 2024:2825283. [PMID: 39441576 DOI: 10.1001/jamapsychiatry.2024.3330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/25/2024]
Affiliation(s)
- Yuki Kikuchi
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Hiroshi Komatsu
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Hiroaki Tomita
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
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Ying J, Chew QH, Wang Y, Sim K. Global Neuropsychopharmacological Prescription Trends in Adults with Schizophrenia, Clinical Correlates and Implications for Practice: A Scoping Review. Brain Sci 2023; 14:6. [PMID: 38275511 PMCID: PMC10813099 DOI: 10.3390/brainsci14010006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 12/19/2023] [Accepted: 12/19/2023] [Indexed: 01/27/2024] Open
Abstract
It is important to examine the psychotropic prescription practices in schizophrenia, as it can inform regarding changing treatment choices and related patient profiles. No recent reviews have evaluated the global neuropsychopharmacological prescription patterns in adults with schizophrenia. A systematic search of the literature published from 2002 to 2023 found 88 empirical papers pertinent to the utilization of psychotropic agents. Globally, there were wide inter-country and inter-regional variations in the prescription of psychotropic agents. Overall, over time there was an absolute increase in the prescription rate of second-generation antipsychotics (up to 50%), mood stabilizers (up to 15%), and antidepressants (up to 17%), with an observed absolute decrease in the rate of antipsychotic polypharmacy (up to 15%), use of high dose antipsychotic (up to 12% in Asia), clozapine (up to 9%) and antipsychotic long-acting injectables (up to 10%). Prescription patterns were mainly associated with specific socio-demographic (such as age), illness (such as illness duration), and treatment factors (such as adherence). Further work, including more evidence in adjunctive neuropsychopharmacological treatments, pharmaco-economic considerations, and examination of cohorts in prospective studies, can proffer insights into changing prescription trends relevant to different treatment settings and predictors of such trends for enhancement of clinical management in schizophrenia.
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Affiliation(s)
- Jiangbo Ying
- East Region, Institute of Mental Health, Singapore 539747, Singapore
| | - Qian Hui Chew
- Research Division, Institute of Mental Health, Singapore 539747, Singapore
| | - Yuxi Wang
- East Region, Institute of Mental Health, Singapore 539747, Singapore
| | - Kang Sim
- West Region, Institute of Mental Health, Singapore 539747, Singapore
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Zhu Y, Wu Z, Zhao D, Wu X, He R, Wang Z, Peng D, Fang Y. Clinical Guideline (CANMAT 2016) Discordance of Medications for Patients with Major Depressive Disorder in China. Neuropsychiatr Dis Treat 2023; 19:829-839. [PMID: 37077710 PMCID: PMC10106790 DOI: 10.2147/ndt.s401359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 03/23/2023] [Indexed: 04/21/2023] Open
Abstract
Objective This survey aims to explore the current medical treatment of major depressive disorder (MDD) in China and match its degree with Canadian Network for Mood and Anxiety Treatments (CANMAT). Methods A total of 3275 patients were recruited from 16 mental health centers and 16 general hospitals in China. Descriptive statistics presented the total number and percentage of drugs, as well as all kinds of treatments. Results Selective serotonin reuptake inhibitors (SSRIs) accounted for the largest proportion (57.2%), followed by serotonin-noradrenaline reuptake inhibitors (SNRIs) (22.8%) and mirtazapine (7.0%) in the first therapy, while that of SNRIs (53.9%) followed by SSRIs (39.2%) and mirtazapine (9.8%) in the follow-up therapy. An average of 1.85 medications was administered to each MDD patient. Conclusion SSRIs were the first choice in the first therapy, while the proportion of those drugs decreased during the follow-up therapy and were replaced by SNRIs. Plenty of combined pharmacotherapies were directly selected as the first trial of patients, which was inconsistent with guideline recommendations.
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Affiliation(s)
- Yuncheng Zhu
- Division of Mood Disorders, Shanghai Hongkou Mental Health Center, Shanghai, People’s Republic of China
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai JiaoTong University School of Medicine, Shanghai, People’s Republic of China
- Clinical Research Center for Mental Health, School of Medicine, Shanghai University, Shanghai, People's Republic of China
| | - Zhiguo Wu
- Clinical Research Center in Mental Health, Shanghai Yangpu District Mental Health Center, Shanghai University of Medicine & Health Sciences, Shanghai, People's Republic of China
| | - Dongmei Zhao
- Division of Psychiatry, Shanghai Changning Mental Health Center, Shanghai, People’s Republic of China
| | - Xiaohui Wu
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai JiaoTong University School of Medicine, Shanghai, People’s Republic of China
| | | | - Zuowei Wang
- Division of Mood Disorders, Shanghai Hongkou Mental Health Center, Shanghai, People’s Republic of China
- Clinical Research Center for Mental Health, School of Medicine, Shanghai University, Shanghai, People's Republic of China
| | - Daihui Peng
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai JiaoTong University School of Medicine, Shanghai, People’s Republic of China
| | - Yiru Fang
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai JiaoTong University School of Medicine, Shanghai, People’s Republic of China
- Department of Psychiatry & Affective Disorders Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, People’s Republic of China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, People’s Republic of China
- Correspondence: Yiru Fang, Email
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Marchi M, Galli G, Fiore G, Mackinnon A, Mattei G, Starace F, Galeazzi GM. Machine-Learning for Prescription Patterns: Random Forest in the Prediction of Dose and Number of Antipsychotics Prescribed to People with Schizophrenia. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE : THE OFFICIAL SCIENTIFIC JOURNAL OF THE KOREAN COLLEGE OF NEUROPSYCHOPHARMACOLOGY 2022; 20:450-461. [PMID: 35879029 PMCID: PMC9329108 DOI: 10.9758/cpn.2022.20.3.450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 08/30/2021] [Accepted: 09/23/2021] [Indexed: 11/18/2022]
Abstract
Objective We aimed to predict antipsychotic prescription patterns for people with schizophrenia using machine learning (ML) algorithms. Methods In a cross-sectional design, a sample of community mental health service users (SUs; n = 368) with a primary diagnosis of schizophrenia was randomly selected. Socio-demographic and clinical features, including the number, total dose, and route of administration of the antipsychotic treatment were recorded. Information about the number and the length of psychiatric hospitalization was retrieved. Ordinary Least Square (OLS) regression and ML algorithms (i.e., random forest [RF], supported vector machine, K-nearest neighborhood, and Naïve Bayes) were used to estimate the predictors of total antipsychotic dosage and prescription of antipsychotic polytherapy (APP). Results The strongest predictor of the total dose was APP. The number of Community Mental Health Centers (CMHC) contacts was the most important predictor of APP and, with APP omitted, of dosage. Treatment with anticholinergics predicted APP, emphasizing the strong correlation between APP and higher antipsychotic dose. RF performed better than OLS regression and the other ML algorithms in predicting both antipsychotic dose (root square mean error = 0.70, R2 = 0.31) and APP (area under the receiving operator curve = 0.66, true positive rate = 0.41, and true negative rate = 0.78). Conclusion APP is associated with the prescription of higher total doses of antipsychotics. Frequent attenders at CMHCs, and SUs recently hospitalized are often treated with APP and higher doses of antipsychotics. Future prospective studies incorporating standardized clinical assessments for both psychopathological severity and treatment efficacy are needed to confirm these findings.
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Affiliation(s)
- Mattia Marchi
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Giacomo Galli
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Gianluca Fiore
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Andrew Mackinnon
- Black Dog Institute, University of New South Wales, Sydney, NSW, Australia
| | - Giorgio Mattei
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Fabrizio Starace
- Department of Mental Health and Drug Abuse, Azienda Unità Sanitaria Locale (AUSL) Modena, Modena, Italy
| | - Gian M. Galeazzi
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
- Department of Mental Health and Drug Abuse, Azienda Unità Sanitaria Locale (AUSL) Modena, Modena, Italy
- Dipartimento di Salute Mentale e Dipendenze Patologiche, AUSL-IRCSS di Reggio Emilia, Reggio Emilia, Italy
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Zhang L, He S, He L, Yu W, He S, Li Y, Yu Y, Zheng Q, Huang J, Shen Y, Li H. Long-Term Antipsychotic Effectiveness and Comparison of the Efficacy of Monotherapy and Polypharmacy in Schizophrenia: A 3-Years Follow-Up “Real World” Study in China. Front Pharmacol 2022; 13:860713. [PMID: 35770081 PMCID: PMC9234304 DOI: 10.3389/fphar.2022.860713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 05/16/2022] [Indexed: 01/10/2023] Open
Abstract
Background: Discontinuation of antipsychotic treatment is a common problem in patients with schizophrenia and could reduce the effectiveness of treatment. Time to discontinuation (TTD) is one of the indicators of compliance and may also be an effective indicator of medication efficacy. The aim of the study was to compare the clinical effectiveness of quetiapine, olanzapine, risperidone, and aripiprazole in the real-world treatment of schizophrenia with 3-years follow-up.Method: A multi-center, open, cohort, prospective, real-world study was conducted. 706 patients were analyzed without intervention in medication selection and use, followed up for 3 years. Kaplan-Meier survival curves were used to draw the treatment discontinuation rates (TDR) curves at each time point. Cox proportional hazard regression model was used to assess the relative risk of TTD of antipsychotics.Results: There was a significant difference among monotherapy groups in all-cause antipsychotic treatment discontinuation (p = 0.0057). Among the four medications, the TDR of risperidone was the highest. Compared with polypharmacy, except for aripiprazole, the TDR of other three monotherapy medications were lower than that of polypharmacy, and olanzapine was statistically different (p = 0.0325). The cox regression analysis showed that after correction of Hochberg with multiple tests, only olanzapine had a relative risk lower than risperidone (p < 0.0083).Conclusions: The findings indicated that risperidone monotherapy and polypharmacy had the highest TDR and the shortest TTD. Olanzapine monotherapy had a relative risk lower than risperidone and was superior to polypharmacy.
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Affiliation(s)
- Lei Zhang
- Department of Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Sidi He
- Department of Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Luyao He
- Department of Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wenjuan Yu
- Department of Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shen He
- Department of Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yange Li
- Department of Psychiatry, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yimin Yu
- Department of Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qingshan Zheng
- Center for Drug Clinical Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jingjing Huang
- Department of Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- *Correspondence: Jingjing Huang, ; Yifeng Shen, ; Huafang Li,
| | - Yifeng Shen
- Department of Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- *Correspondence: Jingjing Huang, ; Yifeng Shen, ; Huafang Li,
| | - Huafang Li
- Department of Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- *Correspondence: Jingjing Huang, ; Yifeng Shen, ; Huafang Li,
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Pai N, Acar M, Juneja P, Kouhkamari MH, Siva S, Mullan J. Antipsychotic prescribing patterns in Australia: a retrospective analysis. BMC Psychiatry 2022; 22:110. [PMID: 35148707 PMCID: PMC8840322 DOI: 10.1186/s12888-022-03755-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 01/28/2022] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND To examine real-world patterns of antipsychotic use in patients with schizophrenia Australia. METHODS This retrospective cohort analysis was conducted using the Australian Commonwealth Department of Human Services Pharmaceutical Benefits Scheme (PBS) 10% sample data. Included data were for patients aged 16-years or older who initiated treatment for the first time with a PBS-reimbursed antipsychotic medication for schizophrenia between July 2013 and September 2017. Patterns of treatment usage were summarised descriptively. Differences in prescribing patterns by age and prescribing year were reported. Treatment persistence was estimated using Kaplan-Meier methods, with differences explored using log-rank tests. Values of p < 0.05 were considered statistically significant. RESULTS 6,740 patients, representing 8,249 non-unique patients, received prescriptions for antipsychotic medications. Patients were aged 16 years to over 85 years (54.5% were < 55 years) and two-thirds of patients were male (61%). The majority of treatment episodes (62%, n = 5,139/8,249) were prescribed an atypical oral antipsychotic. Typical long-acting antipsychotic therapies (LATs) were prescribed 19% of the treatment episodes (n = 1,608/8,249. There was a small increase in prescribing of atypical LAT and typical LAT and a small decrease in atypical oral and clozapine prescribing over the study period. Treatment persistence was greatest in patients treated with clozapine, than in those treated with atypical LATs. CONCLUSIONS While the majority of patients receive atypical antipsychotic medications, one in five continue to use older typical LAT therapies. Patient age and time on therapy may be associated with choice of therapy. Persistence to atypical LAT therapy is better than for other treatment modalities in this real-world cohort.
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Affiliation(s)
- Nagesh Pai
- School of Medicine, University of Wollongong (UOW), Wollongong, Australia. .,Illawarra Shoalhaven Local Health District (ISLHD), Wollongong, Australia.
| | - Mustafa Acar
- Janssen-Cilag Pty Ltd, North Ryde, NSW Australia
| | | | | | | | - Judy Mullan
- grid.1007.60000 0004 0486 528XSchool of Medicine, University of Wollongong (UOW), Wollongong, Australia
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The Impact of Smoking, Sex, Infection, and Comedication Administration on Oral Olanzapine: A Population Pharmacokinetic Model in Chinese Psychiatric Patients. Eur J Drug Metab Pharmacokinet 2021; 46:353-371. [PMID: 33677821 DOI: 10.1007/s13318-021-00673-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/29/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND AND OBJECTIVE: Prior olanzapine population pharmacokinetic (PPK) models have focused on the effects of sex and smoking on olanzapine clearance. This PPK model in Chinese adult psychiatric patients also investigated the influence of comedications and co-occurrence of infections on olanzapine clearance, and explored how to personalize oral olanzapine dosage in the clinical setting. METHODS A total of 1546 serum concentrations from 354 patients were collected in this study. A one-compartment model with first-order absorption was employed to develop the PPK model using a nonlinear mixed-effects modeling approach. Covariates included demographic parameters, co-occurrence of infection and concomitant medications (including dangguilonghui tablets, a Chinese herbal medicine for constipation). Bootstrap validation (1000 runs) and external validation of 50 patients were employed to evaluate the final model. Simulations were performed to explore the personalization of olanzapine dosing after stratification by sex, smoking, and comedication with valproate. RESULTS Typical estimates for the absorption rate constant (Ka), apparent clearance (CL/F), and apparent distribution volume (V/F) were 0.30 h-1, 12.88 L/h, and 754.41 L, respectively. Olanzapine clearance was increased by the following variables: 1.23-fold by male sex, 1.23-fold by smoking, 1.23-fold by comedication with valproate, 1.16-fold by sertraline, and 2.01-fold by dangguilonghui tablets. Olanzapine clearance was decreased by the following variables: 0.75-fold by co-occurrence of infection, 0.70-fold by fluvoxamine, and 0.78-fold by perphenazine. The model evaluation indicated that the final model's performance was good, stable, and precise. CONCLUSION This study contributes to the personalization of oral olanzapine dosing, but further studies should be performed to verify the effects of infection and comedications, including valproate and dangguilonghui.
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Fan L, You Y, Fan Y, Shen C, Xue Y. Association Between ApoA1 Gene Polymorphisms and Antipsychotic Drug-Induced Dyslipidemia in Schizophrenia. Neuropsychiatr Dis Treat 2021; 17:1289-1297. [PMID: 33958870 PMCID: PMC8096449 DOI: 10.2147/ndt.s305200] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 04/09/2021] [Indexed: 12/22/2022] Open
Abstract
PURPOSE Dyslipidemia frequently occurs in schizophrenia patients treated with antipsychotic drugs (APDs), especially atypical APDs. Apolipoprotein A1 (ApoA1) plays a key role in lipid metabolism. The aim of this study was to investigate whether ApoA1 gene polymorphisms are associated with APD-induced dyslipidemia in schizophrenia patients. PATIENTS AND METHODS A total of 1987 patients with schizophrenia were enrolled in this study. Serum lipid profiles were determined with a biochemistry analyzer. Genotyping for the rs5072 polymorphism of ApoA1 was performed with TaqMan assay. Logistic regression analysis was carried out to evaluate the relationship between ApoA1 gene polymorphisms and APD-induced dyslipidemia. The effects of drug classification (typical vs atypical APD) and drug regimen (monotherapy vs combination therapy) on serum lipid levels were also analyzed. RESULTS A significant association was found between rs5072 and triglyceride (TG) levels in the recessive model of the logistic regression analysis (adjusted odds ratio [OR]=1.50, 95% confidence interval [CI]: 1.03, 2.17; P<0.05). TG level was significantly higher in patients treated with combination therapy (1.03 (0.71, 1.51) mmol/l) compared to monotherapy (0.93 (0.67, 1.43) mmol/l) and was also associated with sex. There were significant differences in TG levels among the three genotypes of ApoA1 rs5072 (GG, GA, and AA) in the whole study population and in patients treated with atypical APDs. CONCLUSION The ApoA1 rs5072 variant is associated with dysregulated TG metabolism in schizophrenia patients treated with APDs, which may increase susceptibility to dyslipidemia.
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Affiliation(s)
- Lin Fan
- Department of Pharmacy, Huai'an Third People's Hospital, Huai'an, People's Republic of China
| | - Yiwen You
- Department of Pharmacy, Huai'an Third People's Hospital, Huai'an, People's Republic of China
| | - Yao Fan
- Division of Clinical Epidemiology, Affiliated Geriatric Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Chong Shen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
| | - Yong Xue
- Department of Medical Laboratory, Huai'an Third People's Hospital, Huai'an, People's Republic of China
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Niitsu T, Hata T, Nishimoto M, Hosoda Y, Kimura A, Oda Y, Suzuki M, Takase N, Seki R, Fujita K, Endo M, Yoshida T, Inoue M, Hattori N, Murakami T, Imamura Y, Ogawa K, Fukami G, Sato T, Kawasaki Y, Hashimoto T, Ishikawa M, Shiina A, Kanahara N, Iyo M. A randomized-controlled trial of blonanserin and olanzapine as adjunct to antipsychotics in the treatment of patients with schizophrenia and dopamine supersensitivity psychosis: The ROADS study. Asian J Psychiatr 2020; 53:102369. [PMID: 32920492 DOI: 10.1016/j.ajp.2020.102369] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2020] [Revised: 08/13/2020] [Accepted: 08/23/2020] [Indexed: 12/14/2022]
Abstract
Dopamine supersensitivity psychosis (DSP) is a key factor contributing to the development of antipsychotic treatment-resistant schizophrenia. We examined the efficacy and safety of blonanserin (BNS) and olanzapine (OLZ) as adjuncts to prior antipsychotic treatment in patients with schizophrenia and DSP in a 24-week, multicenter (17 sites), randomized, rater-blinded study with two parallel groups (BNS and OLZ add-on treatments) in patients with schizophrenia and DSP: the ROADS Study. The primary outcome was the change in the Positive and Negative Syndrome Scale (PANSS) total score from baseline to week 24. Secondary outcomes were changes in the PANSS subscale scores, Clinical Global Impressions, and Extrapyramidal Symptom Rating Scale (ESRS), and changes in antipsychotic doses. The 61 assessed patients were allocated into a BNS group (n = 26) and an OLZ group (n = 29). The PANSS total scores were reduced in both groups (mean ± SD: -14.8 ± 24.0, p = 0.0042; -10.5 ± 12.9, p = 0.0003; respectively) with no significant between-group difference (mean, -4.3, 95 %CI 15.1-6.4, p = 0.42). The BNS group showed significant reductions from week 4; the OLZ group showed significant reductions from week 8. The ESRS scores were reduced in the BNS group and the others were reduced in both groups. The antipsychotic monotherapy rates at the endpoint were 26.3 % (n = 6) for BNS and 23.8 % (n = 5) for OLZ. The concomitant antipsychotic doses were reduced in both groups with good tolerability. Our results suggest that augmentations with BNS and OLZ are antipsychotic treatment options for DSP patients, and BNS may be favorable for DSP based on the relatively quick responses to BNS observed herein.
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Affiliation(s)
- Tomihisa Niitsu
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan.
| | - Tatsuki Hata
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan; Fujita Hospital, Sosa, Chiba, Japan
| | | | - Yutaka Hosoda
- Fujita Hospital, Sosa, Chiba, Japan; Child Psychiatry, Chiba University Hospital, Chiba, Japan
| | - Atsushi Kimura
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Yasunori Oda
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan
| | | | | | - Ryota Seki
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan; Chiba Hospital, Funabashi, Chiba, Japan
| | - Kiyoshi Fujita
- Okehazama Hospital Fujita Kokoro Care Center, Toyoake, Aichi, Japan
| | | | | | | | | | | | - Yukitsugu Imamura
- Department of Neuropsychiatry, Asahi General Hospital, Asahi, Chiba, Japan
| | - Kohei Ogawa
- Yowa Hospital, Tokyo, Japan; Department of Neuropsychiatry, Nippon Medical School, Tokyo, Japan
| | - Goro Fukami
- Chiba Psychiatric Medical Center, Chiba, Japan
| | - Takatoshi Sato
- Project Leader Office, Clinical Research Center, Chiba University Hospital, Chiba, Japan
| | - Yohei Kawasaki
- Biostatistics Section, Clinical Research Center, Chiba University Hospital, Chiba, Japan
| | - Tasuku Hashimoto
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan; Sodegaura-Satsukidai Hospital, Sodegaura, Chiba, Japan
| | - Masatomo Ishikawa
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Akihiro Shiina
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan; Division of Medical Treatment and Rehabilitation, Center for Forensic Mental Health, Chiba University, Chiba, Japan
| | - Nobuhisa Kanahara
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan; Division of Medical Treatment and Rehabilitation, Center for Forensic Mental Health, Chiba University, Chiba, Japan
| | - Masaomi Iyo
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan; Child Psychiatry, Chiba University Hospital, Chiba, Japan; Division of Medical Treatment and Rehabilitation, Center for Forensic Mental Health, Chiba University, Chiba, Japan
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Yasui-Furukori N, Shimoda K. Recent trends in antipsychotic polypharmacy in the treatment of schizophrenia. Neuropsychopharmacol Rep 2020; 40:208-210. [PMID: 32672006 PMCID: PMC7722682 DOI: 10.1002/npr2.12127] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 06/15/2020] [Indexed: 01/21/2023] Open
Abstract
Ichihashi et al reported that 43% of patients had antipsychotic polypharmacy. Number of antipsychotics used in patients with schizophrenia in Japan was the greatest among Asian countries. However, the antipsychotic polypharmacy rate in Japan decreased gradually. Recent systematic review, meta‐analysis and meta‐regression analysis demonstrated that antipsychotic augmentation was superior to monotherapy. However, several cohort studies have suggested a significant association between antipsychotic daily dose and mortality. In addition, most pharmacokinetic interactions with antipsychotics occur at the metabolic level and usually involve changes in the activity of the major drug‐metabolizing enzymes involved in their biotransformation. Thus, avoidance of unnecessary polypharmacy, knowledge of the interaction profiles of individual agents, and careful individualization of dosage based on close evaluation of clinical response and possibly plasma drug concentrations are essential to prevent and minimize potentially adverse drug interactions in patients receiving antipsychotics.
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Affiliation(s)
- Norio Yasui-Furukori
- Department of Psychiatry, Dokkyo Medical University School of Medicine, Mibu, Japan
| | - Kazutaka Shimoda
- Department of Psychiatry, Dokkyo Medical University School of Medicine, Mibu, Japan
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Lin SK. Antipsychotic Polypharmacy: A Dirty Little Secret or a Fashion? Int J Neuropsychopharmacol 2019; 23:125-131. [PMID: 31867671 PMCID: PMC7093996 DOI: 10.1093/ijnp/pyz068] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Accepted: 12/18/2019] [Indexed: 11/23/2022] Open
Abstract
The term polypharmacy was originally coined to refer to problems related to multiple drug consumption and excessive drug use during the treatment of a disease or disorder. In the treatment of schizophrenia, polypharmacy usually refers to the simultaneous use of 2 or more antipsychotic medications or combined (adjunct) medications such as mood stabilizers, antidepressants, anxiolytics, or hypnotics in addition to single or multiple antipsychotics. Two decades ago, antipsychotic polypharmacy was criticized as being more expensive, having unproven efficacy, and causing more side effects. However, in recent years, antipsychotic polypharmacy has become more or less acceptable in the views of clinical practitioners and academic researchers. Results from recent reviews have suggested that the common practice of antipsychotic polypharmacy lacks double-blind or high-quality evidence of efficacy, except for negative symptom reduction with aripiprazole augmentation. We reviewed some representative studies that enrolled large numbers of patients and compared antipsychotic polypharmacy and monotherapy during the past decade. The results revealed that a certain proportion of select patients can benefit from antipsychotic polypharmacy without further negative consequences. Because most of the current treatment guidelines from different countries and organizations prefer monotherapy and discourage all antipsychotic polypharmacy, guidelines regarding the use of antipsychotic polypharmacy in clinical practice should be revised. On the basis of the findings of 2 large-scale studies from Asia and Europe, we also suggest ideal rates of various maintenance treatments of schizophrenia, which are as follows: antipsychotic polypharmacy, 30%; combined mood stabilizer, 15%; combined antidepressant, 10%; combined anxiolytics, 30%; and combined hypnotic, 10%.
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Affiliation(s)
- Shih-Ku Lin
- Department of Psychiatry, School of Medicine, Taipei Medical University and Department of Psychiatry, Taipei City Hospital and Psychiatry Center, Taipei, Taiwan,Correspondence: Dr Shih-Ku Lin, Taipei City Hospital and Psychiatric Center, 309 Songde Road, Xinyi District, Taipei 110, Taiwan ()
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