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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: 1.0] [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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Yang H, Liu C, Zhu C, Zheng Y, Li J, Zhu Q, Wang H, Fang X, Liu Q, Liang M, Liu Z. Determination of ten antipsychotics in blood, hair and nails: Validation of a LC-MS/MS method and forensic application of keratinized matrix analysis. J Pharm Biomed Anal 2023; 234:115557. [PMID: 37406464 DOI: 10.1016/j.jpba.2023.115557] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 06/02/2023] [Accepted: 06/27/2023] [Indexed: 07/07/2023]
Abstract
Determination of antipsychotics from biological samples is meaningful in the field of clinical and forensic medicine. Compared to blood, keratinized matrices such as hair and nails have attracted increasing attention in drug analysis for wider detection window. Nevertheless, the distribution and stability of antipsychotics in keratinized matrices are not clarified yet. Therefore, we developed a LC-MS/MS based method for simultaneous determination of 10 antipsychotics from blood, hair and nails, with high recovery (78.1-107.4%, 71.3-93.5% and 75.2-90.5%), low LOD (5-10 pg/mL, 5-10 pg/mg and 5 pg/mg) and high accuracy (96.0%-101.6%, 97.5%-102.5% and 97.6-101.7%). The method was applied to sets of blood, hair, and nail samples of 54 patients who received long-term therapy, and significant correlations between drug concentrations in blood and hair was found, while the correlation between nails and other matrices varied depending on the drug. Except for olanzapine, the concentrations of antipsychotics in segmental hair samples were consistent with drug exposure. Besides, the hair and nail samples of suspects in two forensic cases were analyzed and provided supporting evidence for the suspects' psychiatric state. Our research offered a deeper understanding of keratinized matrix as stable and retrospective bio-samples for antipsychotics detection in forensic practice.
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Affiliation(s)
- Huanhuan Yang
- Department of Forensic Medicine, Huazhong University of Science and Technology, 430000 Wuhan, China
| | - Cong Liu
- Department of Forensic Medicine, Huazhong University of Science and Technology, 430000 Wuhan, China
| | - Chuanhong Zhu
- Criminal Investigation Bureau, Wuhan Public Security Bureau, 430000 Wuhan, China
| | - Yan Zheng
- Criminal Investigation Bureau, Wuhan Public Security Bureau, 430000 Wuhan, China
| | - Juan Li
- Criminal Investigation Bureau, Wuhan Public Security Bureau, 430000 Wuhan, China
| | | | - Hao Wang
- Wuhan YouFu Hospital, 430000 Wuhan, China
| | | | - Quan Liu
- Hubei Key Laboratory of Forensic Science, Hubei University of Police, 430000 Wuhan, China
| | - Man Liang
- Department of Forensic Medicine, Huazhong University of Science and Technology, 430000 Wuhan, China.
| | - Zilong Liu
- Department of Forensic Medicine, Huazhong University of Science and Technology, 430000 Wuhan, China.
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Adamu MJ, Qiang L, Nyatega CO, Younis A, Kawuwa HB, Jabire AH, Saminu S. Unraveling the pathophysiology of schizophrenia: insights from structural magnetic resonance imaging studies. Front Psychiatry 2023; 14:1188603. [PMID: 37275974 PMCID: PMC10236951 DOI: 10.3389/fpsyt.2023.1188603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 04/20/2023] [Indexed: 06/07/2023] Open
Abstract
Background Schizophrenia affects about 1% of the global population. In addition to the complex etiology, linking this illness to genetic, environmental, and neurobiological factors, the dynamic experiences associated with this disease, such as experiences of delusions, hallucinations, disorganized thinking, and abnormal behaviors, limit neurological consensuses regarding mechanisms underlying this disease. Methods In this study, we recruited 72 patients with schizophrenia and 74 healthy individuals matched by age and sex to investigate the structural brain changes that may serve as prognostic biomarkers, indicating evidence of neural dysfunction underlying schizophrenia and subsequent cognitive and behavioral deficits. We used voxel-based morphometry (VBM) to determine these changes in the three tissue structures: the gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF). For both image processing and statistical analysis, we used statistical parametric mapping (SPM). Results Our results show that patients with schizophrenia exhibited a significant volume reduction in both GM and WM. In particular, GM volume reductions were more evident in the frontal, temporal, limbic, and parietal lobe, similarly the WM volume reductions were predominantly in the frontal, temporal, and limbic lobe. In addition, patients with schizophrenia demonstrated a significant increase in the CSF volume in the left third and lateral ventricle regions. Conclusion This VBM study supports existing research showing that schizophrenia is associated with alterations in brain structure, including gray and white matter, and cerebrospinal fluid volume. These findings provide insights into the neurobiology of schizophrenia and may inform the development of more effective diagnostic and therapeutic approaches.
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Affiliation(s)
- Mohammed Jajere Adamu
- Department of Electronic Science and Technology, School of Microelectronics, Tianjin University, Tianjin, China
- Department of Computer Science, Yobe State University, Damaturu, Nigeria
| | - Li Qiang
- Department of Electronic Science and Technology, School of Microelectronics, Tianjin University, Tianjin, China
| | - Charles Okanda Nyatega
- Department of Information and Communication Engineering, School of Electrical and Information Engineering, Tianjin University, Tianjin, China
- Department of Electronics and Telecommunication Engineering, Mbeya University of Science and Technology, Mbeya, Tanzania
| | - Ayesha Younis
- Department of Electronic Science and Technology, School of Microelectronics, Tianjin University, Tianjin, China
| | - Halima Bello Kawuwa
- Department of Biomedical Engineering and Scientific Instruments, School of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
| | - Adamu Halilu Jabire
- Department of Electrical and Electronics Engineering, Taraba State University, Jalingo, Nigeria
| | - Sani Saminu
- Department of Biomedical Engineering, University of Ilorin, Ilorin, Nigeria
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Zhu J, Chen Y, Lu W, Huang Q, Li B, Xu Y, Xi R, Jin L. Attitudes and Willingness to Accept Long-Acting Injections for Patients With Schizophrenia in Beijing: A Cross-Sectional Investigation Based on Samples From the Communities. Front Public Health 2021; 9:770276. [PMID: 34900914 PMCID: PMC8655677 DOI: 10.3389/fpubh.2021.770276] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 11/04/2021] [Indexed: 11/30/2022] Open
Abstract
Background: Schizophrenia has brought a serious disease burden to China. Under the background that community rehabilitation has become the mainstream treatment model, the long-acting injection (LAI) can better prevent recurrence. Some districts in Beijing have also issued policies. This article aims to find out patient's current attitudes toward LAI and provide policy suggestions. Methods: Some patients with schizophrenia in the communities are selected, while the survey format is face-to-face conversation. The content of the self-made questionnaire includes patients' willingness and reasons for accepting LAI treatment. Descriptive statistics, t-test and F-test are used to process the data from questionnaire surveys. Results: About 10% of respondents have had experience using LAI and the current utilization rate is 2.4%. Respondents' willingness to accept LAI is generally low (only 18.1% are willing). The main reason for willingness is no need to take medication every day, while the main reasons for unwillingness are high cost, fear of injection and lack of understanding. Conclusion: Beijing community patients are not very optimistic about LAI's cognition and willingness. Medication habits play an important role in their medication selection decisions. Intervention such as educate clinicians and patients about LAI and provide free injections to patients can be imposed. The promotion of LAI still has a long way to go.
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Affiliation(s)
- Junli Zhu
- School of Public Health, Capital Medical University, Beijing, China.,Research Center for Capital Health Management and Policy, Beijing, China
| | - Yun Chen
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Beijing Institute of Mental Health, Beijing, China
| | - Wei Lu
- School of Public Health, Capital Medical University, Beijing, China.,Research Center for Capital Health Management and Policy, Beijing, China
| | - Qingzhi Huang
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Beijing Institute of Mental Health, Beijing, China
| | - Bin Li
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Beijing Institute of Mental Health, Beijing, China
| | - Ying Xu
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Beijing Institute of Mental Health, Beijing, China
| | - Rui Xi
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Beijing Institute of Mental Health, Beijing, China
| | - Lefan Jin
- School of Public Health, Capital Medical University, Beijing, China.,Research Center for Capital Health Management and Policy, Beijing, China
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