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Hynes-Ryan C, Carolan A, Feeney L, Strawbridge J, Purcell A, Gilsenan G, O'Donoghue D, Keating D. Pharmacist-led medicines optimisation service in an inpatient mental health setting. Ir J Psychol Med 2023:1-8. [PMID: 38031710 DOI: 10.1017/ipm.2023.46] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2023]
Abstract
Medicines optimisation ensures that people get the best possible outcomes from their medicines. As those with severe mental illness (SMI) are frequently prescribed psychotropic medicines with potentially significant side-effects, poor adherence to treatment and physical morbidity are common. This results in suboptimal symptom control, physical health problems and negative health outcomes. The specialist mental health pharmacist (SMHP) is best placed to provide leadership for medicines optimisation in the inpatient mental health setting. By adopting a patient-centred approach to providing information, improving adherence, screening, initiating and maintaining medicines, and supporting self-advocacy, the SMHP can ensure the patients' experience of taking medicines is optimised. As there is currently limited understanding of what a baseline clinical pharmacy service in a mental health setting looks like, we aim to outline a framework for pharmacist-led medicines optimisation for those with SMI. This framework is suitable to be scaled and adapted to other settings.
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Affiliation(s)
- Caroline Hynes-Ryan
- Pharmacy Department, Saint John of God Hospital, Dublin, Ireland
- Royal College of Surgeons in Ireland - University of Medicine and Health Sciences, Dublin, Ireland
| | - Aoife Carolan
- Pharmacy Department, Saint John of God Hospital, Dublin, Ireland
- Royal College of Surgeons in Ireland - University of Medicine and Health Sciences, Dublin, Ireland
| | - Larkin Feeney
- Mental Health Services, HSE Community Healthcare East CHO 6, Dublin, Ireland
- Saint John of God Community Mental Health Services, Dublin, Ireland
| | - Judith Strawbridge
- School of Pharmacy and Biomolecular Sciences (PBS), Royal College of Surgeons in Ireland - University of Medicine and Health Sciences, Dublin, Ireland
| | - Audrey Purcell
- Pharmacy Department, Saint John of God Hospital, Dublin, Ireland
- School of Pharmacy and Biomolecular Sciences (PBS), Royal College of Surgeons in Ireland - University of Medicine and Health Sciences, Dublin, Ireland
| | | | | | - Dolores Keating
- Pharmacy Department, Saint John of God Hospital, Dublin, Ireland
- School of Pharmacy and Biomolecular Sciences (PBS), Royal College of Surgeons in Ireland - University of Medicine and Health Sciences, Dublin, Ireland
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Høgnason Mohr G, Barcella CA, Grand MK, Kriegbaum M, Siersma V, Hahn MK, Agarwal SM, Bakkedal C, Baandrup L, Knop FK, Andersen CL, Ebdrup BH. Management of dyslipidaemia in individuals with severe mental illness: a population-based study in the Greater Copenhagen Area. Ther Adv Psychopharmacol 2023; 13:20451253231211574. [PMID: 38022836 PMCID: PMC10656803 DOI: 10.1177/20451253231211574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 09/23/2023] [Indexed: 12/01/2023] Open
Abstract
Background Severe mental illness (SMI) is associated with increased cardiovascular risk. Dyslipidaemia is a potentially modifiable risk factor, which may be inadequately managed in patients with SMI. Objectives To assess management of dyslipidaemia in patients with SMI versus healthy controls (HCs) in 2005 and 2015. Design and methods Using Danish registers, we identified adult patients with SMI in the Greater Copenhagen Area (schizophrenia spectrum disorders or bipolar disorder) with ⩾1 general practitioner contact in the year before 2005 and 2015, respectively, and HCs without SMI matched on age and gender (1:5). Outcomes were lipid-profile measurements, presence of dyslipidaemia and redemption of lipid-lowering pharmacotherapy. Differences in outcomes between patients with SMI and controls were measured with multivariable logistic regression. Results We identified 7217 patients with SMI in 2005 and 9939 in 2015. After 10 years, patients went from having lower odds of lipid measurements to having higher odds of lipid measurements compared with HCs [odds ratio (OR)2005 0.70 (99% confidence interval (CI) 0.63-0.78) versus OR2015 1.34 (99% CI 1.24-1.44); p2005versus2015 < 0.01]. Patients had higher odds of dyslipidaemia during both years [OR2005 1.43 (99% CI 1.10-1.85) and OR2015 1.23 (99% CI 1.08-1.41)]. Patients went from having lower odds of receiving lipid-lowering pharmacotherapy to having higher odds of receiving lipid-lowering pharmacotherapy [OR2005 0.77 (99% CI 0.66-0.89) versus OR2015 1.37 (99% CI 1.24-1.51); p2005versus2015 < 0.01]. However, among persons at high cardiovascular risk, patients had lower odds of receiving lipid-lowering pharmacotherapy during both years, including subsets with previous acute coronary syndrome [OR2005 0.30 (99% CI 0.15-0.59) and OR2015 0.44 (99% CI 0.24-0.83)] and ischaemic stroke or transient ischaemic attack (TIA) [OR2005 0.43 (99% CI 0.26-0.69) and OR 2015 0.61 (99% CI 0.41-0.89)]. Conclusion These results imply an increased general awareness of managing dyslipidaemia among patients with SMI in the primary prophylaxis of cardiovascular disease. However, secondary prevention with lipid-lowering drugs in patients with SMI at high cardiovascular risk may be lacking.
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Affiliation(s)
- Grimur Høgnason Mohr
- Center for Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Nordstjernevej 41, 2600 Glostrup, Denmark
| | - Carlo Alberto Barcella
- Department of Cardiology, Copenhagen University Hospital Herlev and Gentofte, University of Copenhagen, Hellerup, Denmark
- Department of Internal Medicine, Nykøbing Falster Hospital, Nykøbing Falster, Denmark
| | - Mia Klinten Grand
- Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Margit Kriegbaum
- Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Volkert Siersma
- Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Margaret K. Hahn
- Center for Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark
- Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Sri Mahavir Agarwal
- Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Catrine Bakkedal
- Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Lone Baandrup
- Center for Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark
- Mental Health Centre Copenhagen, Bispebjerg-Gentofte, Copenhagen NV, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Filip Krag Knop
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | - Christen Lykkegaard Andersen
- Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- Department of Hematology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Bjørn Hylsebeck Ebdrup
- Center for Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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53
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Gałęzowski M, Fabritius CH, Pesonen U, Salo H, Olszak-Płachta M, Czerwińska K, Adamczyk J, Król M, Prusis P, Sieprawska-Lupa M, Mikulski M, Kuokkanen K, Obuchowicz R, Korjamo T, Jalava N, Nikiforuk A, Nowak M. 5-HT 6 receptor antagonists. Design, synthesis, and structure-activity relationship of substituted 2-(1-methyl-4-piperazinyl)pyridines. Bioorg Med Chem Lett 2023; 96:129497. [PMID: 37806499 DOI: 10.1016/j.bmcl.2023.129497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 10/01/2023] [Accepted: 10/02/2023] [Indexed: 10/10/2023]
Abstract
In this study, we present the discovery and pharmacological characterization of a new series of 6-piperazinyl-7-azaindoles. These compounds demonstrate potent antagonism and selectivity against the 5-HT6 receptor. Our research primarily focuses on optimizing the lead structure and investigating the structure-activity relationship (SAR) of these compounds. Our main objective is to improve their activity and selectivity against off-target receptors. Overall, our findings contribute to the advancement of novel compounds targeting the 5-HT6 receptor. Compound 29 exhibits significant promise in terms of pharmacological, physicochemical, and ADME (Absorption, Distribution, Metabolism, and Excretion) properties. Consequently, it merits thorough exploration as a potential drug candidate due to its favorable activity profile and successful outcomes in a range of in vivo experiments.
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Affiliation(s)
| | | | - Ullamari Pesonen
- Orion Corporation, Orion Pharma, Orionintie 1A, 02200 Espoo, Finland
| | - Harri Salo
- Orion Corporation, Orion Pharma, Orionintie 1A, 02200 Espoo, Finland
| | | | | | - Justyna Adamczyk
- Ryvu Therapeutics S.A., Sternbacha Street 2, 30-394 Kraków, Poland
| | - Marcin Król
- Ryvu Therapeutics S.A., Sternbacha Street 2, 30-394 Kraków, Poland
| | - Peteris Prusis
- Orion Corporation, Orion Pharma, Orionintie 1A, 02200 Espoo, Finland
| | | | - Maciej Mikulski
- Ryvu Therapeutics S.A., Sternbacha Street 2, 30-394 Kraków, Poland
| | - Katja Kuokkanen
- Orion Corporation, Orion Pharma, Orionintie 1A, 02200 Espoo, Finland
| | | | - Timo Korjamo
- Orion Corporation, Orion Pharma, Orionintie 1A, 02200 Espoo, Finland
| | - Niina Jalava
- Orion Corporation, Orion Pharma, Orionintie 1A, 02200 Espoo, Finland
| | - Agnieszka Nikiforuk
- Department of Behavioral Neuroscience and Drug Development, Maj Institute of Pharmacology Polish Academy of Sciences, 12 Smętna Street, 31-343 Kraków, Poland
| | - Mateusz Nowak
- Ryvu Therapeutics S.A., Sternbacha Street 2, 30-394 Kraków, Poland
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Stogios N, Humber B, Agarwal SM, Hahn M. Antipsychotic-Induced Weight Gain in Severe Mental Illness: Risk Factors and Special Considerations. Curr Psychiatry Rep 2023; 25:707-721. [PMID: 37755655 DOI: 10.1007/s11920-023-01458-0] [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] [Accepted: 09/12/2023] [Indexed: 09/28/2023]
Abstract
PURPOSE OF REVIEW Weight gain is a disconcerting issue experienced by patients treated with antipsychotics (APs). This review summarizes current knowledge on the prevalence, etiology, and risk factors for antipsychotic-induced weight gain (AIWG), and evidence for interventions, including special considerations. RECENT FINDINGS Predisposing risk factors for AIWG include lack of prior AP exposure, sex, and age. AP dose and duration of exposure are additional treatment-related factors that may contribute to this issue. Among current approaches to target AIWG, metformin has the most evidence to support its use, and this is increasingly reflected in clinical guidelines. While lifestyle approaches are recommended, cost-effectiveness and scalability represent limitations. More research is needed to identify newer treatment options and inform clinical recommendations for AIWG. Concerns around scope of practice in psychiatry to address AIWG and related comorbidities will require enhanced training opportunities and interdisciplinary collaborations, as well as updated position statements/practice guidelines emphasizing prevention.
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Affiliation(s)
- Nicolette Stogios
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), 1051 Queen Street West, Toronto, ON, M6J 1H3, Canada
- Institute of Medical Science, University of Toronto, Toronto, Canada
| | - Bailey Humber
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), 1051 Queen Street West, Toronto, ON, M6J 1H3, Canada
- Institute of Medical Science, University of Toronto, Toronto, Canada
| | - Sri Mahavir Agarwal
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), 1051 Queen Street West, Toronto, ON, M6J 1H3, Canada
- Institute of Medical Science, University of Toronto, Toronto, Canada
- Department of Psychiatry, University of Toronto, Toronto, Canada
- Banting and Best Diabetes Centre (BBDC), University of Toronto, Toronto, Canada
| | - Margaret Hahn
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), 1051 Queen Street West, Toronto, ON, M6J 1H3, Canada.
- Institute of Medical Science, University of Toronto, Toronto, Canada.
- Department of Psychiatry, University of Toronto, Toronto, Canada.
- Banting and Best Diabetes Centre (BBDC), University of Toronto, Toronto, Canada.
- Department of Pharmacology, University of Toronto, Toronto, Canada.
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55
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Rødevand L, Rahman Z, Hindley GFL, Smeland OB, Frei O, Tekin TF, Kutrolli G, Bahrami S, Hoseth EZ, Shadrin A, Lin A, Djurovic S, Dale AM, Steen NE, Andreassen OA. Characterizing the Shared Genetic Underpinnings of Schizophrenia and Cardiovascular Disease Risk Factors. Am J Psychiatry 2023; 180:815-826. [PMID: 37752828 DOI: 10.1176/appi.ajp.20220660] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/28/2023]
Abstract
OBJECTIVE Schizophrenia is associated with increased risk of cardiovascular disease (CVD), although there is variation in risk among individuals. There are indications of shared genetic etiology between schizophrenia and CVD, but the nature of the overlap remains unclear. The aim of this study was to fill this gap in knowledge. METHODS Overlapping genetic architectures between schizophrenia and CVD risk factors were assessed by analyzing recent genome-wide association study (GWAS) results. The bivariate causal mixture model (MiXeR) was applied to estimate the number of shared variants and the conjunctional false discovery rate (conjFDR) approach was used to pinpoint specific shared loci. RESULTS Extensive genetic overlap was found between schizophrenia and CVD risk factors, particularly smoking initiation (N=8.6K variants) and body mass index (BMI) (N=8.1K variants). Several specific shared loci were detected between schizophrenia and BMI (N=304), waist-to-hip ratio (N=193), smoking initiation (N=293), systolic (N=294) and diastolic (N=259) blood pressure, type 2 diabetes (N=147), lipids (N=471), and coronary artery disease (N=35). The schizophrenia risk loci shared with smoking initiation had mainly concordant effect directions, and the risk loci shared with BMI had mainly opposite effect directions. The overlapping loci with lipids, blood pressure, waist-to-hip ratio, type 2 diabetes, and coronary artery disease had mixed effect directions. Functional analyses implicated mapped genes that are expressed in brain tissue and immune cells. CONCLUSIONS These findings indicate a genetic propensity to smoking and a reduced genetic risk of obesity among individuals with schizophrenia. The bidirectional effects of the shared loci with the other CVD risk factors may imply differences in genetic liability to CVD across schizophrenia subgroups, possibly underlying the variation in CVD comorbidity.
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Affiliation(s)
- Linn Rødevand
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
| | - Zillur Rahman
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
| | - Guy F L Hindley
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
| | - Olav B Smeland
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
| | - Oleksandr Frei
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
| | - Tahir Filiz Tekin
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
| | - Gleda Kutrolli
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
| | - Shahram Bahrami
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
| | - Eva Z Hoseth
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
| | - Alexey Shadrin
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
| | - Aihua Lin
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
| | - Srdjan Djurovic
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
| | - Anders M Dale
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
| | - Nils Eiel Steen
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
| | - Ole A Andreassen
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
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Chan JKN, Correll CU, Wong CSM, Chu RST, Fung VSC, Wong GHS, Lei JHC, Chang WC. Life expectancy and years of potential life lost in people with mental disorders: a systematic review and meta-analysis. EClinicalMedicine 2023; 65:102294. [PMID: 37965432 PMCID: PMC10641487 DOI: 10.1016/j.eclinm.2023.102294] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 10/10/2023] [Accepted: 10/12/2023] [Indexed: 11/16/2023] Open
Abstract
Background Mental disorders are associated with premature mortality. There is increasing research examining life expectancy and years-of-potential-life-lost (YPLL) to quantify the disease impact on survival in people with mental disorders. We aimed to systematically synthesize studies to estimate life expectancy and YPLL in people with any and specific mental disorders across a broad spectrum of diagnoses. Methods In this systematic review and meta-analysis, we searched Embase, MEDLINE, PsychINFO, WOS from inception to July 31, 2023, for published studies reporting life expectancy and/or YPLL for mental disorders. Criteria for study inclusion were: patients of all ages with any mental disorders; reported data on life expectancy and/or YPLL of a mental-disorder cohort relative to the general population or a comparison group without mental disorders; and cohort studies. We excluded non-cohort studies, publications containing non-peer-reviewed data or those restricted to population subgroups. Survival estimates, i.e., life expectancy and YPLL, were pooled (based on summary data extracted from the included studies) using random-effects models. Subgroup analyses and random-effects meta-regression analyses were performed to explore sources of heterogeneity. Risk-of-bias assessment was evaluated using the Newcastle-Ottawa Scale. This study is registered with PROSPERO (CRD42022321190). Findings Of 35,865 studies identified in our research, 109 studies from 24 countries or regions including 12,171,909 patients with mental disorders were eligible for analysis (54 for life expectancy and 109 for YPLL). Pooled life expectancy for mental disorders was 63.85 years (95% CI 62.63-65.06; I2 = 100.0%), and pooled YPLL was 14.66 years (95% CI 13.88-15.98; I2 = 100.0%). Disorder-stratified analyses revealed that substance-use disorders had the shortest life expectancy (57.07 years [95% CI 54.47-59.67]), while neurotic disorders had the longest lifespan (69.51 years [95% CI 67.26-71.76]). Substance-use disorders exhibited the greatest YPLL (20.38 years [95% CI 18.65-22.11]), followed by eating disorders (16.64 years [95% CI 7.45-25.82]), schizophrenia-spectrum disorders (15.37 years [95% CI 14.18-16.55]), and personality disorders (15.35 years [95% CI 12.80-17.89]). YPLLs attributable to natural and unnatural deaths in mental disorders were 4.38 years (95% CI 3.15-5.61) and 8.11 years (95% CI 6.10-10.13; suicide: 8.31 years [95% CI 6.43-10.19]), respectively. Stratified analyses by study period suggested that the longevity gap persisted over time. Significant cross-study heterogeneity was observed. Interpretation Mental disorders are associated with substantially reduced life expectancy, which is transdiagnostic in nature, encompassing a wide range of diagnoses. Implementation of comprehensive and multilevel intervention approaches is urgently needed to rectify lifespan inequalities for people with mental disorders. Funding None.
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Affiliation(s)
- Joe Kwun Nam Chan
- LKS Faculty of Medicine, Department of Psychiatry, The University of Hong Kong, Hong Kong, China
| | - Christoph U. Correll
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Child and Adolescent Psychiatry, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Corine Sau Man Wong
- LKS Faculty of Medicine, School of Public Health, The University of Hong Kong, Hong Kong, China
| | - Ryan Sai Ting Chu
- LKS Faculty of Medicine, Department of Psychiatry, The University of Hong Kong, Hong Kong, China
| | - Vivian Shi Cheng Fung
- LKS Faculty of Medicine, Department of Psychiatry, The University of Hong Kong, Hong Kong, China
| | - Gabbie Hou Sem Wong
- LKS Faculty of Medicine, Department of Psychiatry, The University of Hong Kong, Hong Kong, China
| | - Janet Hiu Ching Lei
- LKS Faculty of Medicine, Department of Psychiatry, The University of Hong Kong, Hong Kong, China
| | - Wing Chung Chang
- LKS Faculty of Medicine, Department of Psychiatry, The University of Hong Kong, Hong Kong, China
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China
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Riera-Molist N, Assens-Tauste M, Roura-Poch P, Guimerà-Gallent M, Santos-López JM, Serra-Millas M, Frau-Rosselló N, Gallego-Peña E, Foguet-Boreu Q. A Cardiovascular Risk Optimization Program in People With Schizophrenia: A Pilot Randomized Controlled Clinical Trial. J Psychiatr Pract 2023; 29:456-468. [PMID: 37948170 PMCID: PMC10631505 DOI: 10.1097/pra.0000000000000743] [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] [Indexed: 11/12/2023]
Abstract
BACKGROUND Cardiovascular disease is one of the leading causes of premature death in people with schizophrenia. Some modifiable factors that have been implicated include unhealthy lifestyle, medication side effects, and physical comorbidities. The goal of this study was to assess the efficacy of a 6-month, multifactorial cardiovascular risk intervention to reduce cardiovascular risk (CVR) in people with schizophrenia. METHODS We conducted a 2-arm, parallel, randomized clinical trial in a regional mental health center. Participants with at least 1 poorly controlled cardiovascular risk factor (CVRF) (hypertension, diabetes mellitus, hypercholesterolemia, or tobacco smoking) were randomly assigned to the intervention group or to a control group. The subjects in the intervention group received a patient-centered approach that included promoting a healthy lifestyle, pharmacological management of CVRFs, psychotropic drug optimization, and motivational follow-up [Programa d'optimització del RISc CArdiovascular (PRISCA)]. The main outcome was change in CVR as assessed using the Framingham-REGICOR function, after 6 months compared with the baseline in both groups. RESULTS Forty-six participants were randomly assigned to the PRISCA group (n=23) or the control group (n=23). The most prevalent CVRFs at baseline were hypercholesterolemia (84.8%) and tobacco smoking (39.1%). The PRISCA group showed a significant reduction in the REGICOR score (-0.96%; 95% CI: -1.60 to -0.32, P=0.011) after 6 months (relative risk reduction of 20.9%), with no significant changes in the control group (0.21%; 95% CI: -0.47 to 0.89, P=0.706). In the PRISCA group, low-density lipoprotein cholesterol also decreased significantly (-27.14 mg/dL; 95% CI: -46.28 to -8.00, P=0.008). CONCLUSION A patient-centered, multifactorial cardiovascular risk intervention improved CVR in people with schizophrenia after 6 months, which was achieved mainly by improving the lipid profile.
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Chai Y, Chu RYK, Hu Y, Lam ICH, Cheng FWT, Luo H, Wong MCS, Chan SSM, Chan EWY, Wong ICK, Lai FTT. Association between cumulative exposure periods of flupentixol or any antipsychotics and risk of lung cancer. COMMUNICATIONS MEDICINE 2023; 3:126. [PMID: 37752185 PMCID: PMC10522572 DOI: 10.1038/s43856-023-00364-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 09/18/2023] [Indexed: 09/28/2023] Open
Abstract
BACKGROUND Preclinical evidence suggests that certain antipsychotic medications may inhibit the development of lung cancer. This study aims to investigate the association between incident lung cancer and different cumulative exposure periods of flupentixol or any antipsychotics. METHODS Using electronic health records from the Hospital Authority in Hong Kong, this nested case-control study included case participants aged 18 years or older with newly diagnosed lung cancer after initiating antipsychotics between January 1, 2003, and August 31, 2022. Each case was matched to up to ten controls of the same sex and age, who were also antipsychotic users. Multivariable conditional logistic regression models were conducted to quantify the association between lung cancer and different cumulative exposure times of flupentixol (0-365 days [ref]; 366-1825 days; 1826+ days) and any antipsychotics (1-365 days [ref]; 366-1825 days; 1826+ days), separately. RESULTS Here we show that among 6435 cases and 64,348 matched controls, 64.06% are males, and 52.98% are aged 65-84 years. Compared to patients with less than 365 days of exposure, those with 366-1825 days of exposure to flupentixol (OR = 0.65 [95% CI, 0.47-0.91]) and any antipsychotics (0.42 [0.38-0.45]) have a lower risk of lung cancer. A decreased risk is observed in patients who have 1826+ days of cumulative use of any antipsychotics (0.54 [0.47-0.60]). CONCLUSIONS A reduced risk of lung cancer is observed in patients with more than one year of exposure to flupentixol or any antipsychotics. Further research on the association between lung cancer and other antipsychotic agents is warranted.
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Affiliation(s)
- Yi Chai
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- The Hong Kong Jockey Club Center for Suicide Research and Prevention, The University of Hong Kong, Hong Kong SAR, China
| | - Rachel Yui Ki Chu
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Yuqi Hu
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ivan Chun Hang Lam
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Franco Wing Tak Cheng
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Hao Luo
- The Hong Kong Jockey Club Center for Suicide Research and Prevention, The University of Hong Kong, Hong Kong SAR, China
- Department of Social Work and Social Administration, Faculty of Social Sciences, The University of Hong Kong, Hong Kong SAR, China
- Sau Po Centre on Ageing, The University of Hong Kong, Hong Kong SAR, China
| | - Martin Chi Sang Wong
- Centre for Health Education and Health Promotion, The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Sandra Sau Man Chan
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Esther Wai Yin Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, China
| | - Ian Chi Kei Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, China.
| | - Francisco Tsz Tsun Lai
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, China.
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
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Kouakou MR, Cabrera-Mendoza B, Pathak GA, Cannon TD, Polimanti R. Household income does not affect the pleiotropy of schizophrenia genetic liability with mental and physical health outcomes. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.09.25.23296085. [PMID: 37808821 PMCID: PMC10557836 DOI: 10.1101/2023.09.25.23296085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
Background and Hypothesis Individuals with schizophrenia (SCZ) suffer from comorbidities that substantially reduce their life expectancy. Socioeconomic inequalities could contribute to many of the negative health outcomes associated with SCZ. Study Design We investigated genome-wide datasets related to SCZ (52,017 cases and 75,889 controls) from the Psychiatric Genomics Consortium, household income (HI; N=361,687) from UK Biobank, and 2,202 medical endpoints assessed in up to 342,499 FinnGen participants. A phenome-wide genetic correlation analysis of SCZ and HI was performed, also assessing whether SCZ genetic correlations were influenced by HI effect on SCZ. Additionally, SCZ and HI direct effects on medical endpoints were estimated using multivariable Mendelian randomization (MR). Study Results SCZ and HI showed overlapping genetic correlations with 70 traits (p<2.89×10 -5 ), including mental health, substance use, gastrointestinal illnesses, reproductive outcomes, liver diseases, respiratory problems, and musculoskeletal phenotypes. SCZ genetic correlations with these traits were not affected by HI effect on SCZ. Considering Bonferroni multiple testing correction (p<7.14×10 -4 ), MR analysis indicated that SCZ and HI may affect medical abortion (SCZ odds ratio, OR=1.07; HI OR=0.78), panic disorder (SCZ OR=1.20; HI OR=0.60), personality disorders (SCZ OR=1.31; HI OR=0.67), substance use (SCZ OR=1.2; HI OR=0.68), and adjustment disorders (SCZ OR=1.18; HI OR=0.78). Multivariable MR analysis confirmed that SCZ effects on these outcomes were independent of HI. Conclusions The effect of SCZ genetic liability on mental and physical health may not be strongly affected by socioeconomic differences. This suggests that SCZ-specific strategies are needed to reduce negative health outcomes affecting patients and high-risk individuals.
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Moore SC, Vaz de Castro PAS, Yaqub D, Jose PA, Armando I. Anti-Inflammatory Effects of Peripheral Dopamine. Int J Mol Sci 2023; 24:13816. [PMID: 37762126 PMCID: PMC10530375 DOI: 10.3390/ijms241813816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 08/18/2023] [Accepted: 08/29/2023] [Indexed: 09/29/2023] Open
Abstract
Dopamine is synthesized in the nervous system where it acts as a neurotransmitter. Dopamine is also synthesized in a number of peripheral organs as well as in several types of cells and has organ-specific functions and, as demonstrated more recently, is involved in the regulation of the immune response and inflammatory reaction. In particular, the renal dopaminergic system is very important in the regulation of sodium transport and blood pressure and is particularly sensitive to stimuli that cause oxidative stress and inflammation. This review is focused on how dopamine is synthesized in organs and tissues and the mechanisms by which dopamine and its receptors exert their effects on the inflammatory response.
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Affiliation(s)
| | | | | | | | - Ines Armando
- Division of Kidney Diseases and Hypertension, Department of Medicine, The George Washington School of Medicine and Health Sciences, Washington, DC 20037, USA; (S.C.M.); (P.A.S.V.d.C.); (D.Y.); (P.A.J.)
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Lin JY, Yeh LL, Pan YJ. Exposure to psychotropic medications and mortality in schizophrenia: a 5-year national cohort study. Psychol Med 2023; 53:5528-5537. [PMID: 36134676 PMCID: PMC10482725 DOI: 10.1017/s0033291722002732] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 08/04/2022] [Accepted: 08/08/2022] [Indexed: 11/05/2022]
Abstract
BACKGROUND Relatively few studies have explored the differential contributions of the accumulative dosage of psychotropic medications on mortality in patients with schizophrenia. METHODS We aimed to explore the effects of the exposure dosage of psychotropic medications on mortality during a follow-up period of 5 years with a national cohort of individuals with schizophrenia in 2010. Causes of death were linked through Taiwan's National Mortality Registry. The mean defined daily dose of antipsychotics, antidepressants, mood stabilizers, and sedative-hypnotics, were calculated and survival analyses were conducted. RESULTS A total of 102 964 individuals (54 151 men, 52.59%) with schizophrenia were included. Compared to patients with no exposure to antipsychotics, those with antipsychotic exposure had better survival outcomes, regardless of antipsychotic dosage. Antidepressant exposure, in low and moderate dosage, was associated with decreased all-cause mortality; exposure to mood stabilizers appeared to be associated with an increase in all-cause mortality. Although 89.7% of the patients had been prescribed sedative-hypnotics, exposure to sedative-hypnotics was associated with dose-related increased mortality risk [hazard ratio (HR) in low dose group: 1.16, 95% confidence interval (CI) 1.07-1.27; HR in moderate dose: 1.32, 95% CI 1.21-1.44; HR in high dose: 1.83, 95% CI 1.67-2.01)]. CONCLUSIONS The results indicate that in the treatment of schizophrenia, antipsychotics and antidepressants are associated with lower mortality when using adequate dosages and mood stabilizers and sedative-hypnotics with higher mortality compared with no use. Furthermore, exposure to sedative-hypnotics is associated with a dose-related increased mortality risk which warrants clinical attention and further study.
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Affiliation(s)
- Ji-Yu Lin
- Department of Psychiatry, Far Eastern Memorial Hospital, New Taipei City, Taiwan
| | - Ling-Ling Yeh
- Graduate School of Humanities and Social Sciences, Dharma Drum Institute of Liberal Arts, New Taipei City, Taiwan
| | - Yi-Ju Pan
- Department of Psychiatry, Far Eastern Memorial Hospital, New Taipei City, Taiwan
- Institute of Public Health, National Yang Ming Chiao Tung University School of Medicine, Taipei, Taiwan
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Abstract
PURPOSE OF REVIEW Older age bipolar disorder (OABD) refers to patients with bipolar disorder aged 50 years and over. There is a paucity of evidence-based guidelines specific to OABD, but in recent years, several studies have been published on OABD. The current review synthesizes previous literature (up to January 1, 2021) as well as most recent literature on OABD (since January 1, 2021). RECENT FINDINGS This review covers the following themes: diagnosis and specifiers, clinical course, psychosocial functioning, cognition, physical comorbidities, and pharmacotherapy. On the basis of the latest data, specific clinical recommendations are proposed for each theme. SUMMARY OABD forms a more complex subgroup of bipolar disorder, with an increased risk of cognitive deficits, physical comorbidities, impaired psychosocial functioning, and premature death. The distinctions between BD-I and BD-II and between EOBD and LOBD do not clinically represent relevant subtypes for OABD patients. Mental healthcare professionals should treat all OABD patients with an integrative care model that takes into account cognitive and physical comorbidities and that contains elements aimed at improvement of psychosocial functioning and quality of life. Older age itself should not be a reason to withhold lithium treatment. Future research should collect data on essential data domains using validated measurement scales.
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Affiliation(s)
- Alexandra J M Beunders
- GGZ inGeest Specialized Mental Healthcare
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Psychiatry
- Amsterdam Public Health Research Institute, Mental Health, Amsterdam
| | - Melis Orhan
- Institute of Clinical Psychology, Leiden University, Leiden
| | - Annemiek Dols
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
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López-Cuadrado T, Szmulewicz A, Öngür D, Martínez-Alés G. Clinical characteristics and outcomes of people with severe mental disorders hospitalized due to COVID-19: A nationwide population-based study. Gen Hosp Psychiatry 2023; 84:234-240. [PMID: 37633121 DOI: 10.1016/j.genhosppsych.2023.08.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 08/11/2023] [Accepted: 08/14/2023] [Indexed: 08/28/2023]
Abstract
OBJETIVE Hospitalized COVID-19 patients with severe mental illness (SMI) have worse outcomes than counterparts without SMI. Barriers in access to acute care medical procedures among SMI patients may partially explain this phenomenon. Here, we examined differences in critical care admission and in-hospital mortality between hospitalized COVID-19 patients with and without SMI. METHODS This population-based study used Spain's nationwide electronic health records. Based on International Classification Diseases, Tenth Revision, ICD-10-CM codes, we identified all patients aged ≥15 years hospitalized due to COVID-19 between July 1st-December 31st, 2020, and compared patients with and without SMI in terms of (i) critical care admission and (ii) in-hospital mortality - overall and stratified by age. We used logistic regression models including sex, age, and comorbidity burden as measured by Charlson Comorbidity Index Score as covariates. RESULTS Of 118,691 hospital admissions due to COVID-19 of people aged ≥15 years, 1512 (1.3%) included a diagnosis of SMI. Compared to non-SMI patients, SMI patients had higher in-hospital mortality (OR,95%CI: 1.63,1.42-1.88) and were less frequently admitted to critical care (OR,95%CI: 0.70,0.58-0.85). Admission to critical care in SMI patients was lower than for non-SMI counterparts only among individuals aged ≥60 years. The magnitude of the difference in in-hospital mortality between SMI and non-SMI patients decreased as age increased. CONCLUSIONS Individuals with SMI had reduced critical care admission and increased in-hospital mortality compared non-SMI counterparts, suggesting that differences in delivery of acute care medical procedures may partially explain higher risk of negative outcomes among COVID-19 patients with SMI.
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Affiliation(s)
- Teresa López-Cuadrado
- Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Madrid, Spain.
| | - Alejandro Szmulewicz
- CAUSALab, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Dost Öngür
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Psychotic Disorders Division, McLean Hospital, Belmont, MA, USA
| | - Gonzalo Martínez-Alés
- CAUSALab, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Mental Health Network Biomedical Research Center (CIBERSAM), Madrid, Spain; Hospital La Paz Institute for Health Research (IDIPaz), Madrid, Spain
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Jin H, Lee S, Won S. Mendelian randomization shows depression increases the risk of type 2 diabetes. Front Genet 2023; 14:1181851. [PMID: 37693321 PMCID: PMC10484410 DOI: 10.3389/fgene.2023.1181851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 08/08/2023] [Indexed: 09/12/2023] Open
Abstract
Introduction: Type 2 diabetes (T2D) is associated with severe mental illnesses (SMIs), such as schizophrenia, bipolar disorder, and depression. However, causal relationships between SMIs and T2D remain unclear owing to potential bias in observational studies. We aimed to characterize the causal effect of SMI liability on T2D using two-sample Mendelian randomization (MR). Methods: The causality between liability to SMI and T2D was investigated using the inverse-variance weighted (IVW), MREgger, MR-Egger with a simulation extrapolation, weighted median, and the MR pleiotropy residual sum and outlier method. Similarly, we performed additional MR which can detect the reverse causation effect by switching exposure and outcome for T2D liability for SMI. To further consider pleiotropic effects between SMIs, multivariable MR analysis was performed after accounting for the other traits. Results: In the univariable IVW method, depression showed a causal effect on T2D (odds ratio [OR]: 1.128, 95% confidence interval [CI]: 1.024-1.245, p = 0.014). Multinomial MR more strongly supported these results (IVW OR: 1.197, 95% CI: 1.069, 1.340, p = 0.002; MR-Egger OR: 1.198, 95% CI: 1.062, 1.349, p = 0.003). Bidirectional MR showed absence of reversecausality between depression and T2D. However, causal relationship of bipolar and schizophrenia on T2D was not detected. Discussion: Careful attention is needed for patients with depression regarding T2D prevention and treatment.
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Affiliation(s)
- Heejin Jin
- Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea
| | - Sanghun Lee
- Department of Medical Consilience, Graduate School, Dankook University, Yongin-si, Republic of Korea
| | - Sungho Won
- Department of Public Health Science, Seoul National University and Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea
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Górna K, Szpalik R, Rybakowski JK, Jaracz K. Health behaviours of patients with affective disorders: a cross-sectional study. BMC Psychiatry 2023; 23:561. [PMID: 37542249 PMCID: PMC10401855 DOI: 10.1186/s12888-023-05056-5] [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: 05/31/2023] [Accepted: 07/27/2023] [Indexed: 08/06/2023] Open
Abstract
BACKGROUND Severe mental disorders, including affective disorders (AD), are associated with high rates of physical illnesses that lead to premature patient death. Excess somatic comorbidity may be partially explained by lifestyle factors. This study aimed to investigate the health behaviours (HBs) of patients with AD in comparison to the HBs of patients with type 2 diabetes (T2D) and healthy controls (HCs) and to examine associations among HBs and sociodemographic and clinical factors, subjective quality of life and health status, and health locus of control. METHODS The sample consisted of 108 patients with AD, including 60 with bipolar disorder (BP) and 48 with unipolar disorder (UAD). Analyses included comparisons with a subgroup of AD individuals, patients with T2D and HCs matched in age and sex. The Health Behaviour Inventory was used to evaluate the overall levels of HBs and 4 HB categories. To identify independent determinants of health behaviours, a multivariate linear regression analysis was performed with factors identified as significant in bivariate analyses. RESULTS Most AD patients had a low level of HBs (40%), followed by moderate (35%) and high levels (25%), and there were no significant differences in HBs between the BP and UAD groups. Compared with the T2D and HC groups, the AD group had a significantly lower level of overall HBs and lower levels of HBs in one of the categories. Independent predictors of overall HBs were quality of life (β = 0.28, p < 0.001), age (β = 0.27, p = 0.002), and depressive symptoms (β = 0.23, p = 0.008). A total of 30% of the variance in HBs was explained. CONCLUSIONS These findings emphasise the need for a systematic assessment of single and multiple health behaviours to provide better care for patients with AD and reduce the potential adverse effects of an unhealthy lifestyle.
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Affiliation(s)
- Krystyna Górna
- Department of Psychiatric Nursing, Poznan University of Medical Sciences, Rokietnicka 2A, Poznań, 60-806, Poland.
| | - Renata Szpalik
- Department of Psychiatric Nursing, Poznan University of Medical Sciences, Rokietnicka 2A, Poznań, 60-806, Poland
| | - Janusz K Rybakowski
- Department of Adult Psychiatry, Poznan University of Medical Sciences, Szpitalna 27/33, Poznań, 60-572, Poland
| | - Krystyna Jaracz
- Department of Neurological Nursing, Poznan University of Medical Sciences, Rokietnicka 2A, Poznań, 60-806, Poland
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Zinellu A, Sedda S, Mangoni AA. Paraoxonase/Arylesterase Activity of Serum Paraoxonase-1 and Schizophrenia: A Systematic Review and Meta-Analysis. Antioxidants (Basel) 2023; 12:1484. [PMID: 37627479 PMCID: PMC10451270 DOI: 10.3390/antiox12081484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 07/18/2023] [Accepted: 07/20/2023] [Indexed: 08/27/2023] Open
Abstract
The presence of a pro-oxidant state in patients with schizophrenia may account for the increased risk of atherosclerosis and cardiovascular disease in this group and supports the potential utility of circulating biomarkers of oxidative stress for risk stratification and management. We investigated this issue by conducting a systematic review and meta-analysis of the association between the circulating concentrations of paraoxonase-1, an antioxidant calcium-dependent high-density lipoprotein (HDL)-associated esterase, with paraoxonase and arylesterase activity in schizophrenia. We searched electronic databases from inception to 31 May 2023 for studies investigating paraoxonase-1 in patients with schizophrenia and healthy controls and assessed the risk of bias and the certainty of evidence (PROSPERO registration number: CRD42023435442). Thirteen studies were identified for analysis. There were no significant between-group differences in paraoxonase (standard mean difference, SMD = 0.12, 95% CI -0.23 to 0.48, p = 0.50; extremely low certainty of evidence) or arylesterase activity (SMD = -0.08, 95% CI -0.39 to 0.23, p = 0.61; very low certainty of evidence). However, in meta-regression and subgroup analysis we observed significant associations between the SMD of paraoxonase and age (p = 0.003), HDL-cholesterol (p = 0.029), and study country (p = 0.04), and the SMD of arylesterase and age (p = 0.007), body mass index (p = 0.012), HDL-cholesterol (p = 0.002), and pharmacological treatment for schizophrenia (p < 0.001). In the absence of overall between-group differences, our systematic review and meta-analysis suggests that alterations in paraoxonase-1 may reflect a pro-oxidant state in specific subgroups of patients with schizophrenia that require further assessment in appropriately designed studies.
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Affiliation(s)
- Angelo Zinellu
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy; (A.Z.); (S.S.)
| | - Stefania Sedda
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy; (A.Z.); (S.S.)
| | - Arduino A. Mangoni
- Discipline of Clinical Pharmacology, College of Medicine and Public Health, Flinders University, Bedford Park, SA 5042, Australia
- Department of Clinical Pharmacology, Flinders Medical Centre, Southern Adelaide Local Health Network, Bedford Park, SA 5042, Australia
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Goldman S, Saoulidi A, Kalidindi S, Kravariti E, Gaughran F, Briggs TWR, Gray WK. Comparison of outcomes for patients with and without a serious mental illness presenting to hospital for chronic obstruction pulmonary disease: retrospective observational study using administrative data. BJPsych Open 2023; 9:e128. [PMID: 37458249 PMCID: PMC10375884 DOI: 10.1192/bjo.2023.522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND There are few data on the profile of those with serious mental illness (SMI) admitted to hospital for physical health reasons. AIMS To compare outcomes for patients with and without an SMI admitted to hospital in England where the primary reason for admission was chronic obstructive pulmonary disease (COPD). METHOD This was a retrospective, observational analysis of the English Hospital Episodes Statistics data-set for the period from 1 April 2018 to 31 March 2019, for patients aged 18-74 years with COPD as the dominant reason for admission. Patient with an SMI (psychosis spectrum disorder, bipolar disorder) were identified. RESULTS Data were available for 54 578 patients, of whom 2096 (3.8%) had an SMI. Patients with an SMI were younger, more likely to be female and more likely to live in deprived areas than those without an SMI. The burden of comorbidity was similar between the two groups. After adjusting for covariates, SMI was associated with significantly greater risk of length of stay than the median (odds ratio 1.24, 95% CI 1.12-1.37, P ≤ 0.001) and with 30-day emergency readmission (odds ratio 1.51, 95% confidence interval 1.34-1.69, P ≤ 0.001) but not with in-hospital mortality. CONCLUSION Clinicians should be aware of the potential for poorer outcomes in patients with an SMI even when the SMI is not the primary reason for admission. Collaborative working across mental and physical healthcare provision may facilitate improved outcomes for people with SMI.
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Affiliation(s)
- Sara Goldman
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Anastasia Saoulidi
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Sridevi Kalidindi
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Getting It Right First Time Programme, NHS England, London, UK; and South London and Maudsley NHS Foundation Trust, London, UK
| | - Eugenia Kravariti
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Fiona Gaughran
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; and South London and Maudsley NHS Foundation Trust, London, UK
| | - Tim W R Briggs
- Getting It Right First Time Programme, NHS England, London, UK; and Department of Surgery, Royal National Orthopaedic Hospital, Stanmore, London, UK
| | - William K Gray
- Getting It Right First Time Programme, NHS England, London, UK
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68
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Kowalski K, Misiak B. Schizophrenia and the COVID-19 pandemic: A narrative review from the biomedical perspective. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2023:S1888-9891(23)00015-0. [PMID: 37544807 DOI: 10.1016/j.rpsm.2023.04.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 03/29/2023] [Accepted: 04/12/2023] [Indexed: 08/08/2023]
Abstract
The outbreak of the Coronavirus Disease 2019 (COVID-19) pandemic in 2020 caused a rapid worsening of global mental health. Patients with severe mental disorders, including schizophrenia, are at higher risk of being infected. The neuroinvasive potential of the severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) has been confirmed. The aim of this article was to present a narrative and comprehensive review of multidimensional associations between schizophrenia and COVID-19 with special emphasis on common biological pathways. Online searches were performed in the PubMed database and covered the publication period until September 17, 2022. Search terms included "psychosis", "schizophrenia", "inflammation" and "COVID-19". Viewed as a neuroinflammatory state, schizophrenia shares several neurobiological mechanisms with the COVID-19. Environmental stress, common comorbidities of schizophrenia and adverse effects of antipsychotic treatment are associated with the higher severity and mortality of the COVID-19. Additionally, more frequent relapses of psychosis have been observed, and might be related to lower treatment adherence. In the context of clinical manifestation, higher level of negative symptoms has been identified among patients with schizophrenia during the pandemic. Improvements in mental health care policy and treatment adjustment are necessary to protect people with schizophrenia who are the population that is particularly vulnerable to the consequences of the COVID-19 pandemic. Future research will show if prenatal infection with the SARS-CoV-2 increases a risk of psychosis.
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Affiliation(s)
- Krzysztof Kowalski
- Department of Psychiatry, Wroclaw Medical University, Pasteura 10 Street, 50-367 Wroclaw, Poland.
| | - Błażej Misiak
- Department of Psychiatry, Wroclaw Medical University, Pasteura 10 Street, 50-367 Wroclaw, Poland
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69
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Ng VWS, Leung MTY, Chan EW, Lee EHM, Hayes JF, Osborn DPJ, Wing YK, Lau WCY, Man KKC, Wong ICK. Association between the mood stabilizing treatment of bipolar disorder and risk of suicide attempts: A self-controlled case series study. Psychiatry Res 2023; 325:115236. [PMID: 37172400 DOI: 10.1016/j.psychres.2023.115236] [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: 01/16/2023] [Revised: 04/21/2023] [Accepted: 05/03/2023] [Indexed: 05/15/2023]
Abstract
Bipolar disorder (BPD) is associated with high rates of suicide attempts but the anti-suicidal effect of mood stabilizing agents remains unclear. This study aimed to examine the association between mood stabilizing agents (lithium, valproate, lamotrigine, carbamazepine or antipsychotics) and risk of suicide attempts in patients with BPD using self-controlled case series study design. Among 14,087 patients with BPD who received mood stabilizing agents from 2001 to 2020 in Hong Kong, 1316 patients had at least one suicide attempts during the observation period. An increased risk of suicide attempts was observed 14 days before treatment initiation compared to non-exposed period. Following treatment initiation, an increased risk with smaller magnitude was found with the use of mood stabilizing agents. A lower risk was observed with lithium and antiepileptics while the risk remained attenuated with decreasing magnitude with antipsychotics. During 30-day post-treatment period, the risk was elevated. Therefore, this study suggests that use of mood stabilizing agents is not causally associated with an increased risk of suicide attempts. Indeed, there are potential protective effects of lithium and antiepileptics against suicide attempts. Assiduous monitoring of symptoms relapse and warning signs of suicide should be part of the management plan and discussed between clinicians, caregivers and patients.
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Affiliation(s)
- Vanessa W S Ng
- Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong, China
| | - Miriam T Y Leung
- Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong, China; Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Esther W Chan
- Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science Park, Hong Kong, China; Department of Pharmacy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China; The University of Hong Kong Shenzhen Institute of Research and Innovation, Shenzhen, China
| | - Edwin H M Lee
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Joseph F Hayes
- Division of Psychiatry, Faculty of Brain Sciences, University College London, London, United Kingdom
| | - David P J Osborn
- Division of Psychiatry, Faculty of Brain Sciences, University College London, London, United Kingdom; Camden and Islington NHS Foundation Trust, London NW10PE, United Kingdom
| | - Yun Kwok Wing
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Wallis C Y Lau
- Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong, China; Research Department of Practice and Policy, School of Pharmacy, University College London, London, United Kingdom; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science Park, Hong Kong, China; Centre for Medicines Optimisation Research and Education, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - Kenneth K C Man
- Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong, China; Research Department of Practice and Policy, School of Pharmacy, University College London, London, United Kingdom; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science Park, Hong Kong, China.
| | - Ian C K Wong
- Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong, China; Research Department of Practice and Policy, School of Pharmacy, University College London, London, United Kingdom; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science Park, Hong Kong, China; Aston Pharmacy School, Aston University, Birmingham, United Kingdom.
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70
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Meyer JM, Correll CU. Increased Metabolic Potential, Efficacy, and Safety of Emerging Treatments in Schizophrenia. CNS Drugs 2023; 37:545-570. [PMID: 37470979 PMCID: PMC10374807 DOI: 10.1007/s40263-023-01022-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/21/2023] [Indexed: 07/21/2023]
Abstract
Patients with schizophrenia experience a broad range of detrimental health outcomes resulting from illness severity, heterogeneity of disease, lifestyle behaviors, and adverse effects of antipsychotics. Because of these various factors, patients with schizophrenia have a much higher risk of cardiometabolic abnormalities than people without psychiatric illness. Although exposure to many antipsychotics increases cardiometabolic risk factors, mortality is higher in patients who are not treated versus those who are treated with antipsychotics. This indicates both direct and indirect benefits of adequately treated illness, as well as the need for beneficial medications that result in fewer cardiometabolic risk factors and comorbidities. The aim of the current narrative review was to outline the association between cardiometabolic dysfunction and schizophrenia, as well as discuss the confluence of factors that increase cardiometabolic risk in this patient population. An increased understanding of the pathophysiology of schizophrenia has guided discovery of novel treatments that do not directly target dopamine and that not only do not add, but may potentially minimize relevant cardiometabolic burden for these patients. Key discoveries that have advanced the understanding of the neural circuitry and pathophysiology of schizophrenia now provide possible pathways toward the development of new and effective treatments that may mitigate the risk of metabolic dysfunction in these patients. Novel targets and preclinical and clinical data on emerging treatments, such as glycine transport inhibitors, nicotinic and muscarinic receptor agonists, and trace amine-associated receptor-1 agonists, offer promise toward relevant therapeutic advancements. Numerous areas of investigation currently exist with the potential to considerably progress our knowledge and treatment of schizophrenia.
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Affiliation(s)
- Jonathan M Meyer
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA.
| | - Christoph U Correll
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
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71
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Blomqvist M, Ivarsson A, Carlsson IM, Sandgren A, Jormfeldt H. Relationship between Physical Activity and Health Outcomes in Persons with Psychotic Disorders after Participation in a 2-Year Individualized Lifestyle Intervention. Issues Ment Health Nurs 2023:1-10. [PMID: 37364236 DOI: 10.1080/01612840.2023.2212771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/28/2023]
Abstract
People with psychotic disorders have a significantly increased risk of physical diseases and excessive mortality rates. The aim of the study was to investigate relationships between changes in physical activity, levels of salutogenic health, and glycated hemoglobin among people with psychotic disorders after participation in an individualized lifestyle intervention. The results from analyses showed that self-reported increased physical activity was positively associated with the level of salutogenic health and negatively associated with the level of HbA1c on an individual level. The results indicate that coordinated, individualized, holistic and health-promoting nursing care is crucial to enabling enhanced lifestyle within this vulnerable target group.
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Affiliation(s)
- Marjut Blomqvist
- School of Health and Welfare, Halmstad University, Halmstad, Sweden
| | - Andreas Ivarsson
- School of Health and Welfare, Halmstad University, Halmstad, Sweden
| | | | - Anna Sandgren
- Center for Collaborative Palliative Care, Department of Health and Caring Sciences, Linnaeus University, Växjö, Sweden
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72
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Guan W, Qi W. Ginsenoside Rh2: A shining and potential natural product in the treatment of human nonmalignant and malignant diseases in the near future. PHYTOMEDICINE : INTERNATIONAL JOURNAL OF PHYTOTHERAPY AND PHYTOPHARMACOLOGY 2023; 118:154938. [PMID: 37406390 DOI: 10.1016/j.phymed.2023.154938] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 06/11/2023] [Accepted: 06/19/2023] [Indexed: 07/07/2023]
Abstract
BACKGROUND Ginseng is well-known as one of the most valuable and commonly used Chinese medicines not only in ancient China but also worldwide including East, Russia, Southeast Asia, North America and some Western European countries. Ginsenosides, as one of the main high active components of Ginseng, have various pharmacological activities, such as anti-inflammatory, antianaphylaxis, anti-depression, and anticancer activities. Ginsenoside Rh2 (Rh2), one of the major bioactive ginsenosides in Panax ginseng, also exhibits versatile pharmacological activities, such as increasing non-specific resistance and specific immune response, improving cardiac function and fibrosis, anti-inflammatory effects and antitumor effects, which may serve as an excellent medicinal potential. PURPOSE As one of hundreds of ginsenosides being identified from ginseng, Rh2 exerts a markedly pharmacological effect on various diseases without severe toxicity, it has attracted many researchers 'attention. Although Rh2 plays important roles in some animal models and cell lines to simulate human diseases, its underlying molecular mechanisms have yet to be determined. During the past ten years, nearly 450 studies on Rh2 in the treatment of complex disease have been reported, however, up to now, no comprehensive reviews about the roles of Rh2 in animal models and cellular lines of human nonmalignant and malignant diseases have been conducted. METHOD We searched articles on ginsenoside-related diseases from December 2010 to February 2023 in peer-reviewed and nonclinical databases, which include Web of Science, Scopus, PubMed, China national knowledge internet and Medline, and using the following keywords: Ginsenoside Rh2, Human diseases, Cancer, Mechanisms, Chinese herbal medicine, Natural products and Signaling pathway. RESULTS Therefore, in this review, we make a comprehensive summary on the roles of Rh2 and support the potential mechanisms of Rh2 according to the disease classification, including nonmalignant disease such as ulcerative colitis, neuropathic pain, Asthma, myocardial injury, depression and malignant disease such as breast cancer, colorectal cancer, hepatocellular carcinoma and gastric cancer. Finally, the combination therapy of Rh2 and other medications in human diseases are summarized, apart from that, there are other problems such as the bioavailability of oral administration Rh2 to be overcome in following research. CONCLUSION These findings provide strong evidence that Ginsenoside Rh2 plays important roles in the treatment of nonmalignant and malignant diseases.
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Affiliation(s)
- Wei Guan
- Department of Pharmacology, Pharmacy College, Nantong University, Nantong 226001, Jiangsu, China; School of Medicine, Nantong University, Nantong, China
| | - Wang Qi
- Department of Pharmacology, The First People's Hospital of Yancheng, Yancheng, 224000, Jiangsu, China.
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73
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Villar JD, Stavrum AK, Spindola LM, Torsvik A, Bjella T, Steen NE, Djurovic S, Andreassen OA, Steen VM, Le Hellard S. Differences in white blood cell proportions between schizophrenia cases and controls are influenced by medication and variations in time of day. Transl Psychiatry 2023; 13:211. [PMID: 37330513 DOI: 10.1038/s41398-023-02507-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 05/27/2023] [Accepted: 06/01/2023] [Indexed: 06/19/2023] Open
Abstract
Cases with schizophrenia (SCZ) and healthy controls show differences in white blood cell (WBC) counts and blood inflammation markers. Here, we investigate whether time of blood draw and treatment with psychiatric medications are related to differences in estimated WBC proportions between SCZ cases and controls. DNA methylation data from whole blood was used to estimate proportions of six subtypes of WBCs in SCZ patients (n = 333) and healthy controls (n = 396). We tested the association of case-control status with estimated cell-type proportions and the neutrophil-to-lymphocyte ratio (NLR) in 4 models: with/without adjusting for time of blood draw, and then compared results from blood samples drawn during a 12-h (07:00-19:00) or 7-h (07:00-14:00) period. We also investigated WBC proportions in a subgroup of medication-free patients (n = 51). Neutrophil proportions were significantly higher in SCZ cases (mean=54.1%) vs. controls (mean=51.1%; p = <0.001), and CD8+T lymphocyte proportions were lower in SCZ cases (mean=12.1%) vs. controls (mean=13.2%; p = 0.001). The effect sizes in the 12-h sample (07:00-19:00) showed a significant difference between SCZ vs. controls for neutrophils, CD4+T, CD8+T, and B-cells, which remained significant after adjusting for time of blood draw. In the samples matched for time of blood draw during 07.00-14.00, we also observed an association with neutrophils, CD4+T, CD8+T, and B-cells that was unaffected by further adjustment for time of blood draw. In the medication-free patients, we observed differences that remained significant in neutrophils (p = 0.01) and CD4+T (p = 0.01) after adjusting for time of day. The association of SCZ with NLR was significant in all models (range: p < 0.001 to p = 0.03) in both medicated and unmedicated patients. In conclusion, controlling for pharmacological treatment and circadian cycling of WBC is necessary for unbiased estimates in case-control studies. Nevertheless, the association of WBC with SCZ remains, even after adjusting for the time of day.
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Affiliation(s)
- Jonelle D Villar
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway.
- Dr. Einar Martens Research Group for Biological Psychiatry, Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway.
| | - Anne-Kristin Stavrum
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
- Dr. Einar Martens Research Group for Biological Psychiatry, Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Leticia M Spindola
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
- Dr. Einar Martens Research Group for Biological Psychiatry, Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Anja Torsvik
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
- Dr. Einar Martens Research Group for Biological Psychiatry, Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Thomas Bjella
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Niels Eiel Steen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Srdjan Djurovic
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ole A Andreassen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Vidar M Steen
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
- Dr. Einar Martens Research Group for Biological Psychiatry, Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Stephanie Le Hellard
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway.
- Dr. Einar Martens Research Group for Biological Psychiatry, Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway.
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74
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Cerf ME. Maternal and Child Health, Non-Communicable Diseases and Metabolites. Metabolites 2023; 13:756. [PMID: 37367913 DOI: 10.3390/metabo13060756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 06/02/2023] [Accepted: 06/10/2023] [Indexed: 06/28/2023] Open
Abstract
Mothers influence the health and disease trajectories of their children, particularly during the critical developmental windows of fetal and neonatal life reflecting the gestational-fetal and lactational-neonatal phases. As children grow and develop, they are exposed to various stimuli and insults, such as metabolites, that shape their physiology and metabolism to impact their health. Non-communicable diseases, such as diabetes, cardiovascular disease, cancer and mental illness, have high global prevalence and are increasing in incidence. Non-communicable diseases often overlap with maternal and child health. The maternal milieu shapes progeny outcomes, and some diseases, such as gestational diabetes and preeclampsia, have gestational origins. Metabolite aberrations occur from diets and physiological changes. Differential metabolite profiles can predict the onset of non-communicable diseases and therefore inform prevention and/or better treatment. In mothers and children, understanding the metabolite influence on health and disease can provide insights for maintaining maternal physiology and sustaining optimal progeny health over the life course. The role and interplay of metabolites on physiological systems and signaling pathways in shaping health and disease present opportunities for biomarker discovery and identifying novel therapeutic agents, particularly in the context of maternal and child health, and non-communicable diseases.
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Affiliation(s)
- Marlon E Cerf
- Grants, Innovation and Product Development, South African Medical Research Council, P.O. Box 19070, Tygerberg, Cape Town 7505, South Africa
- Biomedical Research and Innovation Platform, South African Medical Research Council, P.O. Box 19070, Tygerberg, Cape Town 7505, South Africa
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75
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Robinson DJ, Hanson K, Jain AB, Kichler JC, Mehta G, Melamed OC, Vallis M, Bajaj HS, Barnes T, Gilbert J, Honshorst K, Houlden R, Kim J, Lewis J, MacDonald B, MacKay D, Mansell K, Rabi D, Sherifali D, Senior P. Diabetes and Mental Health. Can J Diabetes 2023; 47:308-344. [PMID: 37321702 DOI: 10.1016/j.jcjd.2023.04.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
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Sjaarda J, Delacrétaz A, Dubath C, Laaboub N, Piras M, Grosu C, Vandenberghe F, Crettol S, Ansermot N, Gamma F, Plessen KJ, von Gunten A, Conus P, Kutalik Z, Eap CB. Identification of four novel loci associated with psychotropic drug-induced weight gain in a Swiss psychiatric longitudinal study: A GWAS analysis. Mol Psychiatry 2023; 28:2320-2327. [PMID: 37173452 PMCID: PMC10611564 DOI: 10.1038/s41380-023-02082-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 04/17/2023] [Accepted: 04/18/2023] [Indexed: 05/15/2023]
Abstract
Patients suffering from mental disorders are at high risk of developing cardiovascular diseases, leading to a reduction in life expectancy. Genetic variants can display greater influence on cardiometabolic features in psychiatric cohorts compared to the general population. The difference is possibly due to an intricate interaction between the mental disorder or the medications used to treat it and metabolic regulations. Previous genome wide association studies (GWAS) on antipsychotic-induced weight gain included a low number of participants and/or were restricted to patients taking one specific antipsychotic. We conducted a GWAS of the evolution of body mass index (BMI) during early (i.e., ≤ 6) months of treatment with psychotropic medications inducing metabolic disturbances (i.e., antipsychotics, mood stabilizers and some antidepressants) in 1135 patients from the PsyMetab cohort. Six highly correlated BMI phenotypes (i.e., BMI change and BMI slope after distinct durations of psychotropic treatment) were considered in the analyses. Our results showed that four novel loci were associated with altered BMI upon treatment at genome-wide significance (p < 5 × 10-8): rs7736552 (near MAN2A1), rs11074029 (in SLCO3A1), rs117496040 (near DEFB1) and rs7647863 (in IQSEC1). Associations between the four loci and alternative BMI-change phenotypes showed consistent effects. Replication analyses in 1622 UK Biobank participants under psychotropic treatment showed a consistent association between rs7736552 and BMI slope (p = 0.017). These findings provide new insights into metabolic side effects induced by psychotropic drugs and underline the need for future studies to replicate these associations in larger cohorts.
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Affiliation(s)
- Jennifer Sjaarda
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, Prilly, Switzerland.
- Swiss Institute of Bioinformatics, Lausanne, Switzerland.
| | - Aurélie Delacrétaz
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, Prilly, Switzerland
- Les Toises Psychiatry and Psychotherapy Center, Lausanne, Switzerland
| | - Céline Dubath
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, Prilly, Switzerland
| | - Nermine Laaboub
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, Prilly, Switzerland
| | - Marianna Piras
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, Prilly, Switzerland
| | - Claire Grosu
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, Prilly, Switzerland
| | - Frederik Vandenberghe
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, Prilly, Switzerland
| | - Séverine Crettol
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, Prilly, Switzerland
| | - Nicolas Ansermot
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, Prilly, Switzerland
| | - Franziska Gamma
- Les Toises Psychiatry and Psychotherapy Center, Lausanne, Switzerland
| | - Kerstin Jessica Plessen
- Service of Child and Adolescent Psychiatry, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland
| | - Armin von Gunten
- Service of Old Age Psychiatry, Department of Psychiatry, Lausanne University Hospital, Prilly, Switzerland
| | - Philippe Conus
- Service of General Psychiatry, Department of Psychiatry, Lausanne University Hospital, Prilly, Switzerland
| | - Zoltan Kutalik
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- University Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
| | - Chin B Eap
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, Prilly, Switzerland.
- School of Pharmaceutical Sciences, University of Geneva, University of Lausanne, Geneva, Switzerland.
- Center for Research and Innovation in Clinical Pharmaceutical Sciences, University of Lausanne, Lausanne, Switzerland.
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, University of Lausanne, Geneva, Switzerland.
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Puranen A, Koponen M, Lähteenvuo M, Tanskanen A, Tiihonen J, Taipale H. Real-world effectiveness of antidepressant use in persons with schizophrenia: within-individual study of 61,889 subjects. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2023; 9:34. [PMID: 37236980 DOI: 10.1038/s41537-023-00364-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 05/10/2023] [Indexed: 05/28/2023]
Abstract
The aim of this study was to investigate the real-world effectiveness of antidepressant use in persons with schizophrenia. The register-based study cohort included all 61,889 persons treated in inpatient care due to schizophrenia during 1972-2014 in Finland. The main outcome was hospitalization due to psychosis and secondary outcomes included non-psychiatric hospitalization and all-cause mortality. We used within-individual design to compare the risk of hospitalization-based outcomes during the time periods of antidepressant use to antidepressant non-use periods within the same person, and traditional between-individual Cox models for mortality. The risk of psychosis hospitalization was lower during antidepressant use as compared to non-use (adjusted Hazard Ratio, aHR, 0.93, 95% CI 0.92-0.95). Antidepressants were associated with a decreased risk of mortality (aHR 0.80, 95% CI 0.76-0.85) and a slightly increased risk of non-psychiatric hospitalization (aHR 1.03, 95% CI 1.01-1.06). In conclusion, these results indicate that antidepressants might be useful and relatively safe to use in this population.
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Affiliation(s)
- Arto Puranen
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, Kuopio, Finland.
- School of Pharmacy, University of Eastern Finland, Kuopio, Finland.
| | - Marjaana Koponen
- School of Pharmacy, University of Eastern Finland, Kuopio, Finland
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, VIC, Australia
| | - Markku Lähteenvuo
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, Kuopio, Finland
| | - Antti Tanskanen
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, Kuopio, Finland
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Center for Psychiatry Research, Stockholm City Council, Stockholm, Sweden
| | - Jari Tiihonen
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, Kuopio, Finland
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Center for Psychiatry Research, Stockholm City Council, Stockholm, Sweden
| | - Heidi Taipale
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, Kuopio, Finland
- School of Pharmacy, University of Eastern Finland, Kuopio, Finland
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Center for Psychiatry Research, Stockholm City Council, Stockholm, Sweden
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Abd-Elmawla MA, Essam RM, Ahmed KA, Abdelmonem M. Implication of Wnt/GSK-3β/β-Catenin Signaling in the Pathogenesis of Mood Disturbances Associated with Hyperthyroidism in Rats: Potential Therapeutic Effect of Naringin. ACS Chem Neurosci 2023. [PMID: 37196197 DOI: 10.1021/acschemneuro.3c00013] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/19/2023] Open
Abstract
Patients with hyperthyroidism are commonly diagnosed with mood disorders. Naringin, (4',5,7-trihydrocyflavanone-7-O-rhamnoglucoside), a natural bioflavonoid, has many neurobehavioral activities including anxiolytic and antidepressant properties. The role of Wingless (Wnt) signaling in psychiatric disorders is considered substantial but debatable. Recently, regulation of Wnt signaling by naringin has been reported in different disorders. Therefore, the present study aimed to investigate the possible role of Wnt/GSK-3β/β-catenin signaling in hyperthyroidism-induced mood disturbances and explore the therapeutic effects of naringin. Hyperthyroidism was induced in rats by intraperitoneal injection of 0.3 mg/kg levothyroxine for 2 weeks. Naringin was orally administered to rats with hyperthyroidism at a dose of 50 or 100 mg/kg for 2 weeks. Hyperthyroidism induced mood alterations as revealed by behavioral tests and histopathological changes including marked necrosis and vacuolation of neurons in the hippocampus and cerebellum. Intriguingly, hyperthyroidism activated Wnt/p-GSK-3β/β-catenin/DICER1/miR-124 signaling pathway in the hippocampus along with an elevation in serotonin, dopamine, and noradrenaline contents and a reduction in brain-derived neurotrophic factor (BDNF) content. Additionally, hyperthyroidism induced upregulation of cyclin D-1 expression, malondialdehyde (MDA) elevation, and glutathione (GSH) reduction. Naringin treatment alleviated behavioral and histopathological alterations and reversed hyperthyroidism-induced biochemical changes. In conclusion, this study revealed, for the first time, that hyperthyroidism could affect mental status by stimulating Wnt/p-GSK-3β/β-catenin signaling in the hippocampus. The observed beneficial effects of naringin could be attributed to increasing hippocampal BDNF, controlling the expression of Wnt/p-GSK-3β/β-catenin signaling as well as its antioxidant properties.
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Affiliation(s)
- Mai A Abd-Elmawla
- Department of Biochemistry, Faculty of Pharmacy, Cairo University, Kasr El-Aini Street, 11562 Cairo, Egypt
| | - Reham M Essam
- Department of Pharmacology and Toxicology, Faculty of Pharmacy, Cairo University, Kasr El-Aini Street, 11562 Cairo, Egypt
- Department of Biology, School of Pharmacy, Newgiza University, First 6th of October, Giza 3296121, Egypt
| | - Kawkab A Ahmed
- Department of Pathology, Faculty of Veterinary Medicine, Cairo University, 12211 Cairo, Egypt
| | - Maha Abdelmonem
- Department of Biochemistry, Faculty of Pharmacy, Cairo University, Kasr El-Aini Street, 11562 Cairo, Egypt
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79
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Khaity A, Mostafa Al-dardery N, Albakri K, Abdelwahab OA, Hefnawy MT, Yousef YAS, Taha RE, Swed S, Hafez W, Hurlemann R, Elsayed MEG. Glucagon-like peptide-1 receptor-agonists treatment for cardio-metabolic parameters in schizophrenia patients: a systematic review and meta-analysis. Front Psychiatry 2023; 14:1153648. [PMID: 37215670 PMCID: PMC10196269 DOI: 10.3389/fpsyt.2023.1153648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Accepted: 04/12/2023] [Indexed: 05/24/2023] Open
Abstract
Aims We performed this meta-analysis to evaluate the efficacy and safety of glucagon-like peptide-1 receptor-agonists (GLP-1RA) treatment on cardio-metabolic parameters among antipsychotic-treated patients with schizophrenia. Methods We searched the Web of Science, Cochrane Central Register of Controlled Trials, PubMed, PsycINFO, and Scopus for relevant Randomized Clinical trials (RCTs) from inception until 1 August 2022. Documents were screened for qualified articles, and all concerned outcomes were pooled as risk ratios (RR) or mean difference (MD) in the meta-analysis models using Review Manager (RevMan version 5.4). Results Pooling data from 7 RCTs (398 patients) showed that GLP-1 RA was superior to placebo with regard to body weight [MD = - 4.68, 95% CI (-4.90,-4.46), P < 0.00001], waist circumference [MD = - 3.66, 95% CI (-3.89,-3.44), P < 0.00001], body mass index (BMI) [MD = - 1.09, 95% CI (-1.25,-0.93), P < 0.00001], systolic blood pressure (SBP) [MD = - 3.07, 95% CI (-3.61,-2.53), P < 0.00001], and diastolic blood pressure (DBP) [MD = - 2.02, 95% CI (-2.42,-1.62), P < 0.00001]. The total effect did not favor either of the two groups with respect to insulin and respiratory adverse events {[MD = - 0.06, 95% CI (-0.36, 0.24), p = 0.70], [RR = 0.66, 95% CI (0.31, 1.40), p = 0.28]; respectively}. Conclusion Our analysis revealed that GLP-1 RA treatment is safe and effective on cardio-metabolic parameters over control in antipsychotic-treated patients with schizophrenia. Nevertheless, the present evidence is not sufficient to confirm the safety and efficacy of GLP-1RA treatment on insulin and respiratory adverse events. Therefore, further studies are recommended. Systematic review registration http://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42022333040.
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Affiliation(s)
| | | | - Khaled Albakri
- Faculty of Medicine, The Hashemite University, Zarqa, Jordan
| | | | | | | | - Ruaa E. Taha
- Faculty of Medicine, Khartoum University, Khartoum, Sudan
| | - Sarya Swed
- Faculty of Medicine, Aleppo University, Aleppo, Syria
| | - Wael Hafez
- NMC Royal Hospital, Khalifa City, Abu Dhabi, United Arab Emirates
- Medical Research Division, Department of Internal Medicine, The National Research Centre, Cairo, Egypt
| | - Rene Hurlemann
- Department of Psychiatry, School of Medicine and Health Sciences, Carl von Ossietzky University Oldenburg, Oldenburg, Germany
- Department of Psychiatry, University Hospital Bonn, Bonn, Germany
- Research Center Neurosensory Science, Carl von Ossietzky University Oldenburg, Oldenburg, Germany
| | - Mohamed E. G. Elsayed
- Department of Psychiatry, School of Medicine and Health Sciences, Carl von Ossietzky University Oldenburg, Oldenburg, Germany
- Department of Psychiatry and Psychotherapy III, University of Ulm, Ulm, Germany
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80
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Domingue JL, Jager F, Lusk J, Ezeani C, Pryer B, Davis S. "The Person Gets Lost in the Whole Process": Access to Physical Healthcare for Patients Hospitalized in a Psychiatric Hospital. Res Theory Nurs Pract 2023; 37:214-230. [PMID: 37263635 DOI: 10.1891/rtnp-2022-0089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
Background and Purpose: Persons living with mental illnesses have unmet physical healthcare needs, leading to premature death. When they attempt to access physical health services, they are faced with numerous barriers that lead to delays in care. Although mental health nurses are identified as being essential actors in helping persons with mental illnesses navigate the complexities of the healthcare system, they also engage in conduct that further stigmatizes them. To complicate matters more, mental health nurses themselves face stigmatization when they help their patients living with mental illnesses access physical healthcare services. The aim of the study was to explore mental health nurses' experiences of associative stigma when accessing physical health services for their patients. Methods: To achieve this aim, we used an interpretive phenomenology methodology and a theoretical framework rooted in Erving Goffman's notion of associative stigma. Specifically, we conducted six interviews with mental health nurses working at an urban multisite psychiatric hospital to elicit accounts of their experiences of associative stigma when seeking physical healthcare for their patients and the meanings they make of these. Results: The results presented in this article illustrate some of the mechanisms by which stigmatization toward persons living with mental illnesses and mental health nurses cause delays in physical healthcare accessibility. Implications for Practice: In our discussion, we highlight the implications of these results for the practice of nurses and propose two structural solutions to improve access to physical healthcare and reduce stigmatizing experiences.
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Affiliation(s)
| | - Fiona Jager
- School of Baccalaureate Nursing, St. Lawrence College, Brockville, Ontario, Canada
| | - Jodi Lusk
- Royal Ottawa Health Care Group, Ottawa, Ontario, Canada
| | | | - Billie Pryer
- Royal Ottawa Health Care Group, Ottawa, Ontario, Canada
| | - Sascha Davis
- Royal Ottawa Health Care Group, Ottawa, Ontario, Canada
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Zheng J, Li J, Pei T, Zhu T, Li X, Wang H. Bidirectional associations and a causal mediation analysis between depressive symptoms and chronic digestive diseases: A longitudinal investigation. J Affect Disord 2023; 333:278-289. [PMID: 37105468 DOI: 10.1016/j.jad.2023.04.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 03/21/2023] [Accepted: 04/14/2023] [Indexed: 04/29/2023]
Abstract
BACKGROUND Chronic digestive diseases (CDDs) and depression shared major pathogeneses. We aimed to prospectively examine the bidirectional incidence associations between depressive symptoms and CDDs and explore biologically and behaviorally relevant mediators in the bidirectional associations. METHODS Multivariable-adjusted Cox proportional hazard models were used to examine baseline depressive symptoms in relation to incident CDDs among 10,974 adults and the relation of baseline CDDs with new-onset elevated depressive symptoms among 7489 participants in the China Health and Retirement Longitudinal Study of nationally representative middle-aged and older adults. Elevated depressive symptoms were defined as the 10-item Center for Epidemiologic Studies Depression scale (CES-D-10) score at or higher than 10 and CDDs (except for tumor and cancer) were determined by self-reported physician diagnoses. Causal mediation analysis was performed to assess the mediated effects of a priori selected blood biomarkers and lifestyle factors in the bidirectional associations. RESULTS Prevalence of elevated depressive symptoms and nonmalignant CDDs at baseline was 33.05 % and 17.8 % respectively. During a mean of 5.47 years of follow-up, elevated depressive symptoms significantly increased hazard of CDDs by 1.66 folds (95%CI = 1.49-1.84). Having CDDs at baseline was associated with a 27 % (95%CI = 16 %-39 %) increased hazard of developing elevated depressive symptoms. Shorter sleeping duration at night nominally significantly mediated 8.76 % of the association between depressive symptoms and incident CDDs while no significant mediators were identified in the converse association. LIMITATIONS Limited mediator information and inadequately long follow-up may reduce chance of identifying significant mediators. CONCLUSIONS Depressive symptoms and CDDs were mutual independent risk factors. Early screening and management of depressive symptoms and sleep disturbance are suggested in the prevention of CDDs and related comorbidities.
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Affiliation(s)
- Jiali Zheng
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Jingmeng Li
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Tianduo Pei
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Tianren Zhu
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Xiaoguang Li
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; State Key Laboratory of Oncogenes and Related Genes, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
| | - Hui Wang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; State Key Laboratory of Oncogenes and Related Genes, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
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Mpango RS, Ssembajjwe W, Rukundo GZ, Birungi C, Kalungi A, Gadow KD, Patel V, Nyirenda M, Kinyanda E. Physical and psychiatric comorbidities among patients with severe mental illness as seen in Uganda. Eur Arch Psychiatry Clin Neurosci 2023; 273:613-625. [PMID: 36002543 PMCID: PMC9950291 DOI: 10.1007/s00406-022-01478-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Accepted: 08/02/2022] [Indexed: 11/03/2022]
Abstract
While psychiatric and physical comorbidities in severe mental illness (SMI) have been associated with increased mortality and poor clinical outcomes, problem has received little attention in low- and middle-income countries (LMICs). This study established the prevalence of psychiatric (schizophrenia, bipolar affective disorder, and recurrent major depressive disorder) and physical (HIV/AIDS, syphilis, hypertension and obesity) comorbidities and associated factors among 1201 out-patients with SMI (schizophrenia, depression and bipolar affective disorder) attending care at two hospitals in Uganda. Participants completed an assessment battery including structured, standardised and locally translated instruments. SMIs were established using the MINI International Neuropsychiatric Interview version 7.2. We used logistic regression to determine the association between physical and psychiatric comorbidities and potential risk factors. Bipolar affective disorder was the most prevalent (66.4%) psychiatric diagnoses followed by schizophrenia (26.6%) and recurrent major depressive disorder (7.0%). Prevalence of psychiatric comorbidity was 9.1%, while physical disorder comorbidity was 42.6%. Specific comorbid physical disorders were hypertension (27.1%), obesity (13.8%), HIV/AIDS (8.2%) and syphilis (4.8%). Potentially modifiable factors independently significantly associated with psychiatric and physical comorbidities were: use of alcohol for both syphilis and hypertension comorbidities; and use of a mood stabilisers and khat in comorbidity with obesity. Only psychiatric comorbidity was positively associated with the negative outcomes of suicidality and risky sexual behaviour. The healthcare models for psychiatric care in LMICs such as Uganda should be optimised to address the high burden of psychiatric and physical comorbidities.
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Affiliation(s)
- Richard Stephen Mpango
- MRC/UVRI and LSHTM Uganda Research Unit, Mental Health Section, P. O. Box, 49, Entebbe, Uganda.
- Senior Wellcome Trust Fellowship, Entebbe, Uganda.
- Brown School, Washington University, in St. Louis, St. Louis, MO, 63130, USA.
- Department of Mental Health, Soroti School of Health Sciences, Soroti University, P. O. Box 211, Soroti, Uganda.
- Butabika National Psychiatric Hospital, Kampala, Uganda.
| | - Wilber Ssembajjwe
- MRC/UVRI and LSHTM Uganda Research Unit, Mental Health Section, P. O. Box, 49, Entebbe, Uganda
- Senior Wellcome Trust Fellowship, Entebbe, Uganda
- Statistical Section, MRC/UVRI and LSHTM Uganda Research Unit, P. O. Box 49, Entebbe, Uganda
| | - Godfrey Zari Rukundo
- Department of Psychiatry, Mbarara University of Science and Technology, P. O. Box 1410, Mbarara, Uganda
| | - Carol Birungi
- Department of Psychiatry, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Allan Kalungi
- MRC/UVRI and LSHTM Uganda Research Unit, Mental Health Section, P. O. Box, 49, Entebbe, Uganda
- Senior Wellcome Trust Fellowship, Entebbe, Uganda
| | - Kenneth D Gadow
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - Vikram Patel
- Department of Global Health and Social Medicine, Harvard Medical School, Massachusetts, USA
| | - Moffat Nyirenda
- MRC/UVRI and LSHTM Uganda Research Unit, Mental Health Section, P. O. Box, 49, Entebbe, Uganda
- Senior Wellcome Trust Fellowship, Entebbe, Uganda
- Global Non-Communicable Diseases (NCD) Section, MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda
| | - Eugene Kinyanda
- MRC/UVRI and LSHTM Uganda Research Unit, Mental Health Section, P. O. Box, 49, Entebbe, Uganda
- Senior Wellcome Trust Fellowship, Entebbe, Uganda
- Department of Psychiatry, College of Health Sciences, Makerere University, Kampala, Uganda
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Lenze EJ, Mulsant BH, Roose SP, Lavretsky H, Reynolds CF, Blumberger DM, Brown PJ, Cristancho P, Flint AJ, Gebara MA, Gettinger TR, Lenard E, Miller JP, Nicol GE, Oughli HA, Pham VT, Rollman BL, Yang L, Karp JF. Antidepressant Augmentation versus Switch in Treatment-Resistant Geriatric Depression. N Engl J Med 2023; 388:1067-1079. [PMID: 36867173 PMCID: PMC10568698 DOI: 10.1056/nejmoa2204462] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/04/2023]
Abstract
BACKGROUND The benefits and risks of augmenting or switching antidepressants in older adults with treatment-resistant depression have not been extensively studied. METHODS We conducted a two-step, open-label trial involving adults 60 years of age or older with treatment-resistant depression. In step 1, patients were randomly assigned in a 1:1:1 ratio to augmentation of existing antidepressant medication with aripiprazole, augmentation with bupropion, or a switch from existing antidepressant medication to bupropion. Patients who did not benefit from or were ineligible for step 1 were randomly assigned in step 2 in a 1:1 ratio to augmentation with lithium or a switch to nortriptyline. Each step lasted approximately 10 weeks. The primary outcome was the change from baseline in psychological well-being, assessed with the National Institutes of Health Toolbox Positive Affect and General Life Satisfaction subscales (population mean, 50; higher scores indicate greater well-being). A secondary outcome was remission of depression. RESULTS In step 1, a total of 619 patients were enrolled; 211 were assigned to aripiprazole augmentation, 206 to bupropion augmentation, and 202 to a switch to bupropion. Well-being scores improved by 4.83 points, 4.33 points, and 2.04 points, respectively. The difference between the aripiprazole-augmentation group and the switch-to-bupropion group was 2.79 points (95% CI, 0.56 to 5.02; P = 0.014, with a prespecified threshold P value of 0.017); the between-group differences were not significant for aripiprazole augmentation versus bupropion augmentation or for bupropion augmentation versus a switch to bupropion. Remission occurred in 28.9% of patients in the aripiprazole-augmentation group, 28.2% in the bupropion-augmentation group, and 19.3% in the switch-to-bupropion group. The rate of falls was highest with bupropion augmentation. In step 2, a total of 248 patients were enrolled; 127 were assigned to lithium augmentation and 121 to a switch to nortriptyline. Well-being scores improved by 3.17 points and 2.18 points, respectively (difference, 0.99; 95% CI, -1.92 to 3.91). Remission occurred in 18.9% of patients in the lithium-augmentation group and 21.5% in the switch-to-nortriptyline group; rates of falling were similar in the two groups. CONCLUSIONS In older adults with treatment-resistant depression, augmentation of existing antidepressants with aripiprazole improved well-being significantly more over 10 weeks than a switch to bupropion and was associated with a numerically higher incidence of remission. Among patients in whom augmentation or a switch to bupropion failed, changes in well-being and the occurrence of remission with lithium augmentation or a switch to nortriptyline were similar. (Funded by the Patient-Centered Outcomes Research Institute; OPTIMUM ClinicalTrials.gov number, NCT02960763.).
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Affiliation(s)
- Eric J Lenze
- From the Department of Psychiatry (E.J.L., P.C., T.R.G., E.L., G.E.N., V.T.P., L.Y.) and the Division of Biostatistics (J.P.M.), Washington University School of Medicine, St. Louis; the Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto (B.H.M., D.M.B., A.J.F.), the Centre for Addiction and Mental Health (B.H.M., D.M.B.), and the Centre for Mental Health, University Health Network (A.J.F.) - all in Toronto; Columbia University College of Physicians and Surgeons and the Department of Psychiatry, New York State Psychiatric Institute - both in New York (S.P.R., P.J.B.); the Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles (H.L., H.A.O.); University of Pittsburgh School of Medicine, Pittsburgh (C.F.R., M.A.G., B.L.R.); and the Department of Psychiatry, College of Medicine, University of Arizona, Tucson (J.F.K.)
| | - Benoit H Mulsant
- From the Department of Psychiatry (E.J.L., P.C., T.R.G., E.L., G.E.N., V.T.P., L.Y.) and the Division of Biostatistics (J.P.M.), Washington University School of Medicine, St. Louis; the Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto (B.H.M., D.M.B., A.J.F.), the Centre for Addiction and Mental Health (B.H.M., D.M.B.), and the Centre for Mental Health, University Health Network (A.J.F.) - all in Toronto; Columbia University College of Physicians and Surgeons and the Department of Psychiatry, New York State Psychiatric Institute - both in New York (S.P.R., P.J.B.); the Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles (H.L., H.A.O.); University of Pittsburgh School of Medicine, Pittsburgh (C.F.R., M.A.G., B.L.R.); and the Department of Psychiatry, College of Medicine, University of Arizona, Tucson (J.F.K.)
| | - Steven P Roose
- From the Department of Psychiatry (E.J.L., P.C., T.R.G., E.L., G.E.N., V.T.P., L.Y.) and the Division of Biostatistics (J.P.M.), Washington University School of Medicine, St. Louis; the Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto (B.H.M., D.M.B., A.J.F.), the Centre for Addiction and Mental Health (B.H.M., D.M.B.), and the Centre for Mental Health, University Health Network (A.J.F.) - all in Toronto; Columbia University College of Physicians and Surgeons and the Department of Psychiatry, New York State Psychiatric Institute - both in New York (S.P.R., P.J.B.); the Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles (H.L., H.A.O.); University of Pittsburgh School of Medicine, Pittsburgh (C.F.R., M.A.G., B.L.R.); and the Department of Psychiatry, College of Medicine, University of Arizona, Tucson (J.F.K.)
| | - Helen Lavretsky
- From the Department of Psychiatry (E.J.L., P.C., T.R.G., E.L., G.E.N., V.T.P., L.Y.) and the Division of Biostatistics (J.P.M.), Washington University School of Medicine, St. Louis; the Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto (B.H.M., D.M.B., A.J.F.), the Centre for Addiction and Mental Health (B.H.M., D.M.B.), and the Centre for Mental Health, University Health Network (A.J.F.) - all in Toronto; Columbia University College of Physicians and Surgeons and the Department of Psychiatry, New York State Psychiatric Institute - both in New York (S.P.R., P.J.B.); the Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles (H.L., H.A.O.); University of Pittsburgh School of Medicine, Pittsburgh (C.F.R., M.A.G., B.L.R.); and the Department of Psychiatry, College of Medicine, University of Arizona, Tucson (J.F.K.)
| | - Charles F Reynolds
- From the Department of Psychiatry (E.J.L., P.C., T.R.G., E.L., G.E.N., V.T.P., L.Y.) and the Division of Biostatistics (J.P.M.), Washington University School of Medicine, St. Louis; the Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto (B.H.M., D.M.B., A.J.F.), the Centre for Addiction and Mental Health (B.H.M., D.M.B.), and the Centre for Mental Health, University Health Network (A.J.F.) - all in Toronto; Columbia University College of Physicians and Surgeons and the Department of Psychiatry, New York State Psychiatric Institute - both in New York (S.P.R., P.J.B.); the Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles (H.L., H.A.O.); University of Pittsburgh School of Medicine, Pittsburgh (C.F.R., M.A.G., B.L.R.); and the Department of Psychiatry, College of Medicine, University of Arizona, Tucson (J.F.K.)
| | - Daniel M Blumberger
- From the Department of Psychiatry (E.J.L., P.C., T.R.G., E.L., G.E.N., V.T.P., L.Y.) and the Division of Biostatistics (J.P.M.), Washington University School of Medicine, St. Louis; the Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto (B.H.M., D.M.B., A.J.F.), the Centre for Addiction and Mental Health (B.H.M., D.M.B.), and the Centre for Mental Health, University Health Network (A.J.F.) - all in Toronto; Columbia University College of Physicians and Surgeons and the Department of Psychiatry, New York State Psychiatric Institute - both in New York (S.P.R., P.J.B.); the Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles (H.L., H.A.O.); University of Pittsburgh School of Medicine, Pittsburgh (C.F.R., M.A.G., B.L.R.); and the Department of Psychiatry, College of Medicine, University of Arizona, Tucson (J.F.K.)
| | - Patrick J Brown
- From the Department of Psychiatry (E.J.L., P.C., T.R.G., E.L., G.E.N., V.T.P., L.Y.) and the Division of Biostatistics (J.P.M.), Washington University School of Medicine, St. Louis; the Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto (B.H.M., D.M.B., A.J.F.), the Centre for Addiction and Mental Health (B.H.M., D.M.B.), and the Centre for Mental Health, University Health Network (A.J.F.) - all in Toronto; Columbia University College of Physicians and Surgeons and the Department of Psychiatry, New York State Psychiatric Institute - both in New York (S.P.R., P.J.B.); the Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles (H.L., H.A.O.); University of Pittsburgh School of Medicine, Pittsburgh (C.F.R., M.A.G., B.L.R.); and the Department of Psychiatry, College of Medicine, University of Arizona, Tucson (J.F.K.)
| | - Pilar Cristancho
- From the Department of Psychiatry (E.J.L., P.C., T.R.G., E.L., G.E.N., V.T.P., L.Y.) and the Division of Biostatistics (J.P.M.), Washington University School of Medicine, St. Louis; the Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto (B.H.M., D.M.B., A.J.F.), the Centre for Addiction and Mental Health (B.H.M., D.M.B.), and the Centre for Mental Health, University Health Network (A.J.F.) - all in Toronto; Columbia University College of Physicians and Surgeons and the Department of Psychiatry, New York State Psychiatric Institute - both in New York (S.P.R., P.J.B.); the Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles (H.L., H.A.O.); University of Pittsburgh School of Medicine, Pittsburgh (C.F.R., M.A.G., B.L.R.); and the Department of Psychiatry, College of Medicine, University of Arizona, Tucson (J.F.K.)
| | - Alastair J Flint
- From the Department of Psychiatry (E.J.L., P.C., T.R.G., E.L., G.E.N., V.T.P., L.Y.) and the Division of Biostatistics (J.P.M.), Washington University School of Medicine, St. Louis; the Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto (B.H.M., D.M.B., A.J.F.), the Centre for Addiction and Mental Health (B.H.M., D.M.B.), and the Centre for Mental Health, University Health Network (A.J.F.) - all in Toronto; Columbia University College of Physicians and Surgeons and the Department of Psychiatry, New York State Psychiatric Institute - both in New York (S.P.R., P.J.B.); the Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles (H.L., H.A.O.); University of Pittsburgh School of Medicine, Pittsburgh (C.F.R., M.A.G., B.L.R.); and the Department of Psychiatry, College of Medicine, University of Arizona, Tucson (J.F.K.)
| | - Marie A Gebara
- From the Department of Psychiatry (E.J.L., P.C., T.R.G., E.L., G.E.N., V.T.P., L.Y.) and the Division of Biostatistics (J.P.M.), Washington University School of Medicine, St. Louis; the Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto (B.H.M., D.M.B., A.J.F.), the Centre for Addiction and Mental Health (B.H.M., D.M.B.), and the Centre for Mental Health, University Health Network (A.J.F.) - all in Toronto; Columbia University College of Physicians and Surgeons and the Department of Psychiatry, New York State Psychiatric Institute - both in New York (S.P.R., P.J.B.); the Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles (H.L., H.A.O.); University of Pittsburgh School of Medicine, Pittsburgh (C.F.R., M.A.G., B.L.R.); and the Department of Psychiatry, College of Medicine, University of Arizona, Tucson (J.F.K.)
| | - Torie R Gettinger
- From the Department of Psychiatry (E.J.L., P.C., T.R.G., E.L., G.E.N., V.T.P., L.Y.) and the Division of Biostatistics (J.P.M.), Washington University School of Medicine, St. Louis; the Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto (B.H.M., D.M.B., A.J.F.), the Centre for Addiction and Mental Health (B.H.M., D.M.B.), and the Centre for Mental Health, University Health Network (A.J.F.) - all in Toronto; Columbia University College of Physicians and Surgeons and the Department of Psychiatry, New York State Psychiatric Institute - both in New York (S.P.R., P.J.B.); the Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles (H.L., H.A.O.); University of Pittsburgh School of Medicine, Pittsburgh (C.F.R., M.A.G., B.L.R.); and the Department of Psychiatry, College of Medicine, University of Arizona, Tucson (J.F.K.)
| | - Emily Lenard
- From the Department of Psychiatry (E.J.L., P.C., T.R.G., E.L., G.E.N., V.T.P., L.Y.) and the Division of Biostatistics (J.P.M.), Washington University School of Medicine, St. Louis; the Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto (B.H.M., D.M.B., A.J.F.), the Centre for Addiction and Mental Health (B.H.M., D.M.B.), and the Centre for Mental Health, University Health Network (A.J.F.) - all in Toronto; Columbia University College of Physicians and Surgeons and the Department of Psychiatry, New York State Psychiatric Institute - both in New York (S.P.R., P.J.B.); the Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles (H.L., H.A.O.); University of Pittsburgh School of Medicine, Pittsburgh (C.F.R., M.A.G., B.L.R.); and the Department of Psychiatry, College of Medicine, University of Arizona, Tucson (J.F.K.)
| | - J Philip Miller
- From the Department of Psychiatry (E.J.L., P.C., T.R.G., E.L., G.E.N., V.T.P., L.Y.) and the Division of Biostatistics (J.P.M.), Washington University School of Medicine, St. Louis; the Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto (B.H.M., D.M.B., A.J.F.), the Centre for Addiction and Mental Health (B.H.M., D.M.B.), and the Centre for Mental Health, University Health Network (A.J.F.) - all in Toronto; Columbia University College of Physicians and Surgeons and the Department of Psychiatry, New York State Psychiatric Institute - both in New York (S.P.R., P.J.B.); the Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles (H.L., H.A.O.); University of Pittsburgh School of Medicine, Pittsburgh (C.F.R., M.A.G., B.L.R.); and the Department of Psychiatry, College of Medicine, University of Arizona, Tucson (J.F.K.)
| | - Ginger E Nicol
- From the Department of Psychiatry (E.J.L., P.C., T.R.G., E.L., G.E.N., V.T.P., L.Y.) and the Division of Biostatistics (J.P.M.), Washington University School of Medicine, St. Louis; the Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto (B.H.M., D.M.B., A.J.F.), the Centre for Addiction and Mental Health (B.H.M., D.M.B.), and the Centre for Mental Health, University Health Network (A.J.F.) - all in Toronto; Columbia University College of Physicians and Surgeons and the Department of Psychiatry, New York State Psychiatric Institute - both in New York (S.P.R., P.J.B.); the Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles (H.L., H.A.O.); University of Pittsburgh School of Medicine, Pittsburgh (C.F.R., M.A.G., B.L.R.); and the Department of Psychiatry, College of Medicine, University of Arizona, Tucson (J.F.K.)
| | - Hanadi A Oughli
- From the Department of Psychiatry (E.J.L., P.C., T.R.G., E.L., G.E.N., V.T.P., L.Y.) and the Division of Biostatistics (J.P.M.), Washington University School of Medicine, St. Louis; the Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto (B.H.M., D.M.B., A.J.F.), the Centre for Addiction and Mental Health (B.H.M., D.M.B.), and the Centre for Mental Health, University Health Network (A.J.F.) - all in Toronto; Columbia University College of Physicians and Surgeons and the Department of Psychiatry, New York State Psychiatric Institute - both in New York (S.P.R., P.J.B.); the Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles (H.L., H.A.O.); University of Pittsburgh School of Medicine, Pittsburgh (C.F.R., M.A.G., B.L.R.); and the Department of Psychiatry, College of Medicine, University of Arizona, Tucson (J.F.K.)
| | - Vy T Pham
- From the Department of Psychiatry (E.J.L., P.C., T.R.G., E.L., G.E.N., V.T.P., L.Y.) and the Division of Biostatistics (J.P.M.), Washington University School of Medicine, St. Louis; the Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto (B.H.M., D.M.B., A.J.F.), the Centre for Addiction and Mental Health (B.H.M., D.M.B.), and the Centre for Mental Health, University Health Network (A.J.F.) - all in Toronto; Columbia University College of Physicians and Surgeons and the Department of Psychiatry, New York State Psychiatric Institute - both in New York (S.P.R., P.J.B.); the Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles (H.L., H.A.O.); University of Pittsburgh School of Medicine, Pittsburgh (C.F.R., M.A.G., B.L.R.); and the Department of Psychiatry, College of Medicine, University of Arizona, Tucson (J.F.K.)
| | - Bruce L Rollman
- From the Department of Psychiatry (E.J.L., P.C., T.R.G., E.L., G.E.N., V.T.P., L.Y.) and the Division of Biostatistics (J.P.M.), Washington University School of Medicine, St. Louis; the Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto (B.H.M., D.M.B., A.J.F.), the Centre for Addiction and Mental Health (B.H.M., D.M.B.), and the Centre for Mental Health, University Health Network (A.J.F.) - all in Toronto; Columbia University College of Physicians and Surgeons and the Department of Psychiatry, New York State Psychiatric Institute - both in New York (S.P.R., P.J.B.); the Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles (H.L., H.A.O.); University of Pittsburgh School of Medicine, Pittsburgh (C.F.R., M.A.G., B.L.R.); and the Department of Psychiatry, College of Medicine, University of Arizona, Tucson (J.F.K.)
| | - Lei Yang
- From the Department of Psychiatry (E.J.L., P.C., T.R.G., E.L., G.E.N., V.T.P., L.Y.) and the Division of Biostatistics (J.P.M.), Washington University School of Medicine, St. Louis; the Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto (B.H.M., D.M.B., A.J.F.), the Centre for Addiction and Mental Health (B.H.M., D.M.B.), and the Centre for Mental Health, University Health Network (A.J.F.) - all in Toronto; Columbia University College of Physicians and Surgeons and the Department of Psychiatry, New York State Psychiatric Institute - both in New York (S.P.R., P.J.B.); the Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles (H.L., H.A.O.); University of Pittsburgh School of Medicine, Pittsburgh (C.F.R., M.A.G., B.L.R.); and the Department of Psychiatry, College of Medicine, University of Arizona, Tucson (J.F.K.)
| | - Jordan F Karp
- From the Department of Psychiatry (E.J.L., P.C., T.R.G., E.L., G.E.N., V.T.P., L.Y.) and the Division of Biostatistics (J.P.M.), Washington University School of Medicine, St. Louis; the Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto (B.H.M., D.M.B., A.J.F.), the Centre for Addiction and Mental Health (B.H.M., D.M.B.), and the Centre for Mental Health, University Health Network (A.J.F.) - all in Toronto; Columbia University College of Physicians and Surgeons and the Department of Psychiatry, New York State Psychiatric Institute - both in New York (S.P.R., P.J.B.); the Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles (H.L., H.A.O.); University of Pittsburgh School of Medicine, Pittsburgh (C.F.R., M.A.G., B.L.R.); and the Department of Psychiatry, College of Medicine, University of Arizona, Tucson (J.F.K.)
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84
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Correll CU, Stein E, Graham C, DiPetrillo L, Akerman S, Stanford AD, Jiang Y, Yagoda S, McDonnell D, Hopkinson C. Reduction in Multiple Cardiometabolic Risk Factors With Combined Olanzapine/Samidorphan Compared With Olanzapine: Post Hoc Analyses From a 24-Week Phase 3 Study. Schizophr Bull 2023; 49:454-463. [PMID: 36305696 PMCID: PMC10016392 DOI: 10.1093/schbul/sbac144] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND AND HYPOTHESES Weight gain and adverse cardiometabolic effects often limit the clinical utility of olanzapine. In ENLIGHTEN-2, combining olanzapine with the opioid receptor antagonist samidorphan (OLZ/SAM) mitigated olanzapine-associated weight gain. These analyses tested the hypothesis that OLZ/SAM would be associated with reduced adverse cardiometabolic effects compared with olanzapine. STUDY DESIGN This phase 3 double-blind study randomized adults with schizophrenia to OLZ/SAM or olanzapine for 24 weeks. Post hoc analyses assessed changes from baseline to week 24 in cardiometabolic risk parameters, including body mass index (BMI), risk of developing obesity (BMI ≥30 kg/m2) or metabolic syndrome, waist circumference, along with mean and potentially clinically significant changes in blood pressure, glucose, and lipids. RESULTS After 24 weeks' treatment, compared with olanzapine, OLZ/SAM was associated with smaller least-squares mean (LSM) changes from baseline in systolic blood pressure (LSM difference, -2.63 mm Hg; 95% CI: -4.78, -0.47), diastolic blood pressure (LSM difference, -0.75 mm Hg; 95% CI: -2.31, 0.80), and BMI (LSM difference, -0.65 kg/m2; 95% CI: -1.01, -0.28). OLZ/SAM treatment was also associated with reduced risk of shifting from normal blood pressure to stage 1/2 hypertension (odds ratio [OR], 0.48; 95% CI: 0.24, 0.96), becoming obese (OR, 0.52; 95% CI: 0.32, 0.82), and developing metabolic syndrome (OR, 0.55; 95% CI: 0.31, 0.99) compared with olanzapine. No treatment group differences were noted for risk of hyperglycemia or hyperlipidemia. CONCLUSIONS OLZ/SAM treatment was associated with lower risk of worsening cardiometabolic risk factors related to obesity, hypertension, and metabolic syndrome relative to olanzapine. NCT02694328, https://clinicaltrials.gov/ct2/show/NCT02694328.
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Affiliation(s)
- Christoph U Correll
- Department of Psychiatry, Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA.,Department of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.,Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
| | - Evan Stein
- Metabolic & Atherosclerosis Research Center, Cincinnati, OH, USA
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85
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Haddad PM, Correll CU. Long-acting antipsychotics in the treatment of schizophrenia: opportunities and challenges. Expert Opin Pharmacother 2023; 24:473-493. [PMID: 36919576 DOI: 10.1080/14656566.2023.2181073] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
INTRODUCTION Maintenance antipsychotic treatment improves multiple outcomes in people with schizophrenia. These benefits are challenged by medication nonadherence, which is a common occurrence. Long-acting injectable antipsychotic (LAI) formulations were developed to reduce nonadherence and thereby improve outcomes. This narrative review is based on a PubMed search (January 2000 - August 2022) for studies on LAI antipsychotics. AREAS COVERED Opportunities and challenges associated with LAIs are reviewed. Advantages, compared to oral antipsychotics (OAs), include improved adherence, reduced relapse and hospitalization risk, delayed and lower relapse risk after stopping treatment, and the ability to differentiate true treatment resistance from 'pseudo'-resistance. Additionally, LAIs are associated with lower all-cause mortality than OAs. LAIs are under-used in many services, partly reflecting negative attitudes, misconceptions, and lack of knowledge among clinicians, patients, and carers. Practical barriers to LAI use include acquisition costs and inadequate service structures to administer/monitor LAI treatment. EXPERT OPINION The education and engagement of clinicians, patients and caregivers can assist more informed decision-making regarding LAIs. Future research regarding LAIs should encompass multiple complementary designs, focus on functionality and recovery outcomes, and include groups at high risk of relapse, including those with comorbid substance use disorders and early in the course of schizophrenia.
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Affiliation(s)
- Peter M Haddad
- Division of Psychology and Mental Health, University of Manchester, Manchester, UK.,Mental Health, Drugs and Alcohol Services (MHDAS), Barwon Health, Geelong, Australia
| | - Christoph U Correll
- The Zucker Hillside Hospital, Department of Psychiatry, Northwell Health, Glen Oaks, NY, USA.,Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Department of Psychiatry and Molecular Medicine, Hempstead, NY, USA.,Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin Berlin, Berlin, Germany
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86
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Ahn HJ, Lee SR, Choi EK, Bae NY, Ahn HJ, Kwon S, Lee SW, Han KD, Oh S, Lip GYH. Increased risk of incident atrial fibrillation in young adults with mental disorders: A nationwide population-based study. Heart Rhythm 2023; 20:365-373. [PMID: 36563829 DOI: 10.1016/j.hrthm.2022.12.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 11/09/2022] [Accepted: 12/01/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Mental disorders and cardiovascular diseases are closely related. However, a paucity of information on the risk of incident atrial fibrillation (AF) in patients with mental disorders exists. OBJECTIVE We aimed to assess the association between mental disorders and the risk of AF, particularly in young adults. METHODS Using the Korean National Health Insurance Database between 2009 and 2012, we identified adults aged 20-39 years without a history of AF and who have been diagnosed with mental disorders. Mental disorders were defined as having one of the following diagnoses: depression, insomnia, anxiety disorder, bipolar disorder, or schizophrenia. The primary outcome was new-onset AF during follow-up. RESULTS A total of 6,576,582 subjects (mean age 30.9 ± 5.0 years; 3,919,339 [59.6%] men) were included. Among the total population, 10% had mental disorders. During the follow-up period, 8932 incident AF events occurred. Patients with mental disorders showed a higher AF incidence than did those without (25.4 per 100,000 person-years vs 17.7 per 100,000 person-years). After multivariable adjustment, mental disorders were associated with a significantly higher risk of AF (adjusted hazard ratio 1.526; 95% confidence interval 1.436-1.621). Patients with bipolar disorder or schizophrenia had a 2-fold higher risk of AF and those with depression, insomnia, and anxiety disorder had a 1.5- to 1.7-fold higher risk of AF than did those without mental disorders. CONCLUSION Young adults diagnosed with mental disorders have a higher risk of incident AF. Awareness for AF in high-risk populations should thus be considered.
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Affiliation(s)
- Hyun Jin Ahn
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - So-Ryoung Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Eue-Keun Choi
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea; Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
| | - Nan Young Bae
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Hyo-Jeong Ahn
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Soonil Kwon
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Seung-Woo Lee
- Department of Medical Statistics, College of Medicine, Catholic University of Korea, Seoul, Republic of Korea
| | - Kyung-Do Han
- Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Seil Oh
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea; Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Gregory Y H Lip
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Chest and Heart Hospital, Liverpool, United Kingdom; Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
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87
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Lee C, Waite F, Piernas C, Aveyard P. Development and initial evaluation of a behavioural intervention to support weight management for people with serious mental illness: an uncontrolled feasibility and acceptability study. BMC Psychiatry 2023; 23:130. [PMID: 36859248 PMCID: PMC9979581 DOI: 10.1186/s12888-023-04517-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 01/02/2023] [Indexed: 03/03/2023] Open
Abstract
BACKGROUND The rates of obesity and associated health problems are higher in people with serious mental illness (SMI), such as schizophrenia and bipolar disorder, than the general population. A primary care referral to a behavioural weight management programme can be an effective intervention, but people with SMI have reported barriers to engaging with them and bespoke options are rarely provided in routine practice. It is possible that adjunct support addressing these specific barriers could help. Here we report the development, feasibility and acceptability of an intervention to improve uptake and engagement with a mainstream weight management programme for people with SMI. METHODS We worked with people with a lived-experience of SMI and used the person-based approach to develop the 'Weight cHange for people with sErious mEntal iLlness' (WHEEL) intervention. It comprised a referral to a mainstream weight management programme (WW®) to be attended once a week, in-person or online, for 12-weeks. The adjunct support comprised a one-off, online consultation called Meet Your Mentor and weekly, telephone or email Mentor Check Ins for 12-weeks. We assessed the feasibility of WHEEL through the number of programme and adjunct support sessions that the participants attended. We analysed the acceptability of WHEEL using a thematic analysis of qualitative interviews conducted at baseline and at 12-week follow-up. Our exploratory outcome of clinical effectiveness was self-reported weight at baseline and at end-of-programme. RESULTS Twenty participants were assessed for eligibility and 17 enrolled. All 17 participants attended Meet Your Mentor and one was lost to follow-up (94% retention). Nine out of 16 attended ≥50% of the weekly programme sessions and 12/16 attended ≥50% of the weekly check-ins. Participants reported in the interviews that the adjunct support helped to establish and maintain a therapeutic alliance. While some participants valued the in-person sessions, others reported that they preferred the online sessions because it removed a fear of social situations, which was a barrier for some participants. The mean change in self-reported weight was - 4·1 kg (SD: 3·2) at 12-weeks. CONCLUSIONS A mainstream weight management programme augmented with brief and targeted education and low-intensity check-ins generated sufficient engagement and acceptability to warrant a future trial.
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Affiliation(s)
- Charlotte Lee
- Nuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, University of Oxford, Woodstock Road, Oxford, OX2 6GG, UK. .,Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, Oxfordshire, UK.
| | - Felicity Waite
- Department of Psychiatry, University of Oxford, Warneford Hospital, Warneford Lane, Headington, Oxford, Oxfordshire, OX3 7JX, UK.,Oxford Health NHS Foundation Trust, Warneford Lane, Headington, Oxford, Oxfordshire, OX3 7JX, UK
| | - Carmen Piernas
- Nuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, University of Oxford, Woodstock Road, Oxford, OX2 6GG, UK
| | - Paul Aveyard
- Nuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, University of Oxford, Woodstock Road, Oxford, OX2 6GG, UK.,Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, Oxfordshire, UK
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88
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Puranen A, Koponen M, Lähteenvuo M, Tanskanen A, Tiihonen J, Taipale H. Real-world effectiveness of mood stabilizer use in schizophrenia. Acta Psychiatr Scand 2023; 147:257-266. [PMID: 36065482 DOI: 10.1111/acps.13498] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 08/16/2022] [Accepted: 08/28/2022] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Mood stabilizers (MS) are often used as adjunctive medication in patients with schizophrenia. The aim of this study was to investigate the real-world effectiveness of MS use in persons with schizophrenia. METHODS The study cohort included all persons treated in inpatient care due to schizophrenia during 1972-2014 in Finland (N = 61,889). Drug purchase data were obtained from the national Prescription register and modeled with the PRE2DUP method. The follow-up period covered the years 1996-2017. Mood stabilizers included carbamazepine, valproic acid, lamotrigine, and lithium. The main outcome was psychosis hospitalization. We utilized within-individual design to compare the risk of outcome between time-periods of MS use and non-use within the same person. Stratified Cox regression analyses were conducted with adjusted hazard ratios (aHR) and 95% confidence intervals (CIs). RESULTS Mean age at cohort entry was 46.2 years (SD 16.0) and 50.3% were male. During the follow-up (maximum of 22 years, median 14.8 years, interquartile range 7.5-22.0), 28.1% (N = 17,370) of the study cohort used MS, valproic acid being the most often used one (60.4%, N = 10,483). Risk of psychosis hospitalization was lower during MS use than non-use (aHR 0.88, 95% CI 0.86-0.90). Use of lithium (0.84, 0.81-0.87), valproic acid (0.87, 0.85-0.90), and lamotrigine (0.90, 0.85-0.95) were associated with lower risk of psychosis hospitalization compared with their non-use, whereas carbamazepine use was not. CONCLUSIONS Mood stabilizers were relatively often used as adjunctive treatments in schizophrenia and their use was associated with a 12% decreased risk of psychosis rehospitalization, a marker of relapse in schizophrenia.
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Affiliation(s)
- Arto Puranen
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, Kuopio, Finland.,School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Marjaana Koponen
- School of Pharmacy, University of Eastern Finland, Kuopio, Finland.,Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Victoria, Australia
| | - Markku Lähteenvuo
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, Kuopio, Finland
| | - Antti Tanskanen
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, Kuopio, Finland.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Jari Tiihonen
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, Kuopio, Finland.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Center for Psychiatry Research, Stockholm City Council, Stockholm, Sweden
| | - Heidi Taipale
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, Kuopio, Finland.,School of Pharmacy, University of Eastern Finland, Kuopio, Finland.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Center for Psychiatry Research, Stockholm City Council, Stockholm, Sweden
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89
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Cardiovascular risk in bipolar disorder - A case for the hypothalamus-pituitary-adrenal axis? J Affect Disord 2023; 324:410-417. [PMID: 36587906 DOI: 10.1016/j.jad.2022.12.072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 12/08/2022] [Accepted: 12/18/2022] [Indexed: 12/31/2022]
Abstract
BACKGROUND Unipolar major depressive disorder (MDD) and bipolar disorder (BD) are associated with elevated mortality risk secondary to natural causes. Cardiovascular disease (CVD) constitutes the most prevalent underlying condition. Patients with BD display higher CVD-associated excess mortality than MDD patients. Epicardial adipose tissue (EAT) volume, a known predictor of premature CV morbidity and adrenal gland (AG) volume, an indicator for chronic hypothalamus-pituitary-adrenal (HPA) axis activation, were compared in BD and MDD patients. METHODS Magnetic resonance imaging was performed to assess EAT and AG volume in age-, gender-, and body mass index (BMI)-matched MDD (N = 27) and BD (N = 27) patients. Ten-year CV mortality risk and diabetes risk were assessed by PROCAM, ESC-SCORE, and FINDRISK, respectively; metabolic syndrome (MetS) was determined following NCEP/ATP III criteria. RESULTS Cardiometabolic risk scores and frequency of MetS were comparable, and scores of cardiometabolic risk indices did not significantly differ in both groups. After adjustment for age, BMI, and physical activity, EAT and AG volumes were significantly higher in BD compared to MDD. Partial correlation analyses showed a significant positive association of EAT and AG volumes in BD but not in the MDD. LIMITATIONS The modest sample size warrants confirmation in a larger cohort and the cross-sectional design does not allow for temporal or causal inferences. CONCLUSION Our study indicates increased EAT accumulation in BD patients. This was associated with HPA axis dysregulation. Therapeutic lifestyle interventions that reduce EAT volume should be considered in clinical BD management.
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90
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Muntané G, Vázquez-Bourgon J, Sada E, Martorell L, Papiol S, Bosch E, Navarro A, Crespo-Facorro B, Vilella E. Polygenic risk scores enhance prediction of body mass index increase in individuals with a first episode of psychosis. Eur Psychiatry 2023; 66:e28. [PMID: 36852609 PMCID: PMC10044301 DOI: 10.1192/j.eurpsy.2023.9] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/01/2023] Open
Abstract
BACKGROUND Individuals with a first episode of psychosis (FEP) show rapid weight gain during the first months of treatment, which is associated with a reduction in general physical health. Although genetics is assumed to be a significant contributor to weight gain, its exact role is unknown. METHODS We assembled a population-based FEP cohort of 381 individuals that was split into a Training (n = 224) set and a Validation (n = 157) set to calculate the polygenic risk score (PRS) in a two-step process. In parallel, we obtained reference genome-wide association studies for body mass index (BMI) and schizophrenia (SCZ) to examine the pleiotropic landscape between the two traits. BMI PRSs were added to linear models that included sociodemographic and clinical variables to predict BMI increase (∆BMI) in the Validation set. RESULTS The results confirmed considerable shared genetic susceptibility for the two traits involving 449 near-independent genomic loci. The inclusion of BMI PRSs significantly improved the prediction of ∆BMI at 12 months after the onset of antipsychotic treatment by 49.4% compared to a clinical model. In addition, we demonstrated that the PRS containing pleiotropic information between BMI and SCZ predicted ∆BMI better at 3 (12.2%) and 12 months (53.2%). CONCLUSIONS We prove for the first time that genetic factors play a key role in determining ∆BMI during the FEP. This finding has important clinical implications for the early identification of individuals most vulnerable to weight gain and highlights the importance of examining genetic pleiotropy in the context of medically important comorbidities for predicting future outcomes.
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Affiliation(s)
- Gerard Muntané
- Hospital Universitari Institut Pere Mata, IISPV, Universitat Rovira i Virgili, Reus, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Institut de Biologia Evolutiva (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain
| | - Javier Vázquez-Bourgon
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Department of Psychiatry, University Hospital Marqués de Valdecilla, Instituto de Investigación Marqués de Valdecilla (IDIVAL), Santander, Spain.,Departamento de Medicina y Psiquiatría, Facultad de Medicina, Universidad de Cantabria, Santander, Spain
| | - Ester Sada
- Hospital Universitari Institut Pere Mata, IISPV, Universitat Rovira i Virgili, Reus, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Lourdes Martorell
- Hospital Universitari Institut Pere Mata, IISPV, Universitat Rovira i Virgili, Reus, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Sergi Papiol
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Department of Psychiatry, Institute of Psychiatric Phenomics and Genomics, University Hospital, Ludwig Maximilian University, Munich, Germany
| | - Elena Bosch
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Institut de Biologia Evolutiva (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain
| | - Arcadi Navarro
- Institut de Biologia Evolutiva (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain.,Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.,Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain.,Barcelonaβeta Brain Research Center, Fundació Pasqual Maragall, Barcelona, Spain
| | - Benedicto Crespo-Facorro
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Department of Psychiatry, Instituto de Biomedicina de Sevilla (IBiS), University Hospital Virgen del Rocío, Seville, Spain
| | - Elisabet Vilella
- Hospital Universitari Institut Pere Mata, IISPV, Universitat Rovira i Virgili, Reus, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
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91
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Zavala GA, Haidar-Chowdhury A, Prasad-Muliyala K, Appuhamy K, Aslam F, Huque R, Khalid H, Murthy P, Nizami AT, Rajan S, Shiers D, Siddiqi N, Siddiqi K, Boehnke JR. Prevalence of physical health conditions and health risk behaviours in people with severe mental illness in South Asia: multi-country cross-sectional survey. BJPsych Open 2023; 9:e43. [PMID: 36815449 PMCID: PMC9970179 DOI: 10.1192/bjo.2023.12] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/24/2023] Open
Abstract
BACKGROUND People with severe mental illness (SMI) die earlier than the general population, primarily because of physical disorders. AIMS We estimated the prevalence of physical health conditions, health risk behaviours, access to healthcare and health risk modification advice in people with SMI in Bangladesh, India and Pakistan, and compared results with the general population. METHOD We conducted a cross-sectional survey in adults with SMI attending mental hospitals in Bangladesh, India and Pakistan. Data were collected on non-communicable diseases, their risk factors, health risk behaviours, treatments, health risk modification advice, common mental disorders, health-related quality of life and infectious diseases. We performed a descriptive analysis and compared our findings with the general population in the World Health Organization (WHO) 'STEPwise Approach to Surveillance of NCDs' reports. RESULTS We recruited 3989 participants with SMI, of which 11% had diabetes, 23.3% had hypertension or high blood pressure and 46.3% had overweight or obesity. We found that 70.8% of participants with diabetes, high blood pressure and hypercholesterolemia were previously undiagnosed; of those diagnosed, only around half were receiving treatment. A total of 47% of men and 14% of women used tobacco; 45.6% and 89.1% of participants did not meet WHO recommendations for physical activity and fruit and vegetable intake, respectively. Compared with the general population, people with SMI were more likely to have diabetes, hypercholesterolemia and overweight or obesity, and less likely to receive tobacco cessation and weight management advice. CONCLUSIONS We found significant gaps in detection, prevention and treatment of non-communicable diseases and their risk factors in people with SMI.
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Affiliation(s)
| | | | - Krishna Prasad-Muliyala
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | | | - Faiza Aslam
- Institute of Psychiatry, Rawalpindi Medical University, Pakistan
| | | | - Humaira Khalid
- Institute of Psychiatry, Rawalpindi Medical University, Pakistan
| | - Pratima Murthy
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Asad T Nizami
- Institute of Psychiatry, Rawalpindi Medical University, Pakistan
| | - Sukanya Rajan
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - David Shiers
- Psychosis Research Unit, Greater Manchester Mental Health NHS Trust, Manchester, UK; Division of Psychology and Mental Health, University of Manchester, UK; and School of Medicine, Keele University, UK
| | - Najma Siddiqi
- Department of Health Sciences, University of York, UK; Hull York Medical School, UK; and Bradford District Care NHS Foundation Trust, Bradford, UK
| | - Kamran Siddiqi
- Department of Health Sciences, University of York, UK; and Hull York Medical School, UK
| | - Jan R Boehnke
- Department of Health Sciences, University of York, UK; and School of Health Sciences, University of Dundee, UK
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92
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Zhang L, Li Q, Du Y, Gao Y, Bai T, Ji GJ, Tian Y, Wang K. Effect of high-definition transcranial direct current stimulation on improving depression and modulating functional activity in emotion-related cortical-subcortical regions in bipolar depression. J Affect Disord 2023; 323:570-580. [PMID: 36503046 DOI: 10.1016/j.jad.2022.12.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 11/09/2022] [Accepted: 12/03/2022] [Indexed: 12/13/2022]
Abstract
Preliminary studies have suggested that transcranial direct current stimulation (tDCS) is effective for bipolar depression, However, brain correlates of the depression alleviating are unclear. To determine the efficacy and safety of tDCS as an add-on treatment for patients with bipolar depression and further to identify the effect of tDCS on the resting-state brain activities, we recruited fifty patients with bipolar depression to complete the double-blind, sham-controlled and randomized clinical trial. Fourteen sessions of tDCS were performed once a day for 14 days. The anode was placed over F3 with return electrodes placed at FP1, FZ, C3 and F7. Regional homogeneity (ReHo) was examined on 50 patients with bipolar depression before and after 14-day active or sham tDCS. Patients in the active group showed significantly superior alleviating the depression symptoms compared with those receiving sham. The active group after 14-day active tDCS showed increased ReHo values in the orbitofrontal cortex and middle frontal gyrus and decreased ReHo values in subcortical structures including hippocampus, parahippocampa gyrus, amygdala, putamen and lentiform nucleus. The reduction of depression severity showed positive correlation of increased ReHo values in the orbitofrontal cortex and middle frontal gyrus and negative correlation of altered ReHo values in the putamen and lentiform. TDCS was an effective and safe add-on intervention for this small bipolar depression sample. The reduction of depression induced by tDCS is associated with a modulation of neural synchronization in the cortical and subcortical structures (ReHo values) within an emotion-related brain network.
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Affiliation(s)
- Li Zhang
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, Anhui Province, China; Anhui Mental Health Center, Hefei, Anhui Province, China; Brain Disorders and Neuromodulation Research Centre, Anhui Mental Health Center, Hefei, Anhui Province, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230022, China
| | - Qun Li
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, Anhui Province, China; Anhui Mental Health Center, Hefei, Anhui Province, China; Brain Disorders and Neuromodulation Research Centre, Anhui Mental Health Center, Hefei, Anhui Province, China
| | - Yuan Du
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, Anhui Province, China; Anhui Mental Health Center, Hefei, Anhui Province, China; Brain Disorders and Neuromodulation Research Centre, Anhui Mental Health Center, Hefei, Anhui Province, China
| | - Yue Gao
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, Anhui Province, China; Anhui Mental Health Center, Hefei, Anhui Province, China; Brain Disorders and Neuromodulation Research Centre, Anhui Mental Health Center, Hefei, Anhui Province, China
| | - Tongjian Bai
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230022, China; Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei 230022, China
| | - Gong-Jun Ji
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230022, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei 230022, China; Department of Medical Psychology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Yanghua Tian
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230022, China; Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei 230022, China; Department of Neurology, First Hospital of Anhui Medical University, 218 Jixi Road, Hefei, Anhui Province, China.
| | - Kai Wang
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230022, China; Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei 230022, China; Department of Medical Psychology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Department of Neurology, First Hospital of Anhui Medical University, 218 Jixi Road, Hefei, Anhui Province, China.
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93
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Lee DY, Cho YH, Kim M, Jeong CW, Cha JM, Won GH, Noh JS, Son SJ, Park RW. Association between impaired glucose metabolism and long-term prognosis at the time of diagnosis of depression: Impaired glucose metabolism as a promising biomarker proposed through a machine-learning approach. Eur Psychiatry 2023; 66:e21. [PMID: 36734114 PMCID: PMC9970146 DOI: 10.1192/j.eurpsy.2023.10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Predicting the course of depression is necessary for personalized treatment. Impaired glucose metabolism (IGM) was introduced as a promising depression biomarker, but no consensus was made. This study aimed to predict IGM at the time of depression diagnosis and examine the relationship between long-term prognosis and predicted results. METHODS Clinical data were extracted from four electronic health records in South Korea. The study population included patients with depression, and the outcome was IGM within 1 year. One database was used to develop the model using three algorithms. External validation was performed using the best algorithm across the three databases. The area under the curve (AUC) was calculated to determine the model's performance. Kaplan-Meier and Cox survival analyses of the risk of hospitalization for depression as the long-term outcome were performed. A meta-analysis of the long-term outcome was performed across the four databases. RESULTS A prediction model was developed using the data of 3,668 people, with an AUC of 0.781 with least absolute shrinkage and selection operator (LASSO) logistic regression. In the external validation, the AUCs were 0.643, 0.610, and 0.515. Through the predicted results, survival analysis and meta-analysis were performed; the hazard ratios of risk of hospitalization for depression in patients predicted to have IGM was 1.20 (95% confidence interval [CI] 1.02-1.41, p = 0.027) at a 3-year follow-up. CONCLUSIONS We developed prediction models for IGM occurrence within a year. The predicted results were related to the long-term prognosis of depression, presenting as a promising IGM biomarker related to the prognosis of depression.
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Affiliation(s)
- Dong Yun Lee
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea
| | - Yong Hyuk Cho
- Department of Psychiatry, Ajou University School of Medicine, Suwon, Korea.,Department of Medical Sciences, Graduate School of Ajou University, Suwon, South Korea
| | | | - Chang-Won Jeong
- Medical Convergence Research Center, Wonkwang University, Iksan, Korea
| | - Jae Myung Cha
- Department of Gastroenterology, Gang Dong Kyung Hee University Hospital, Seoul, Korea
| | - Geun Hui Won
- Department of Psychiatry, Catholic University of Daegu School of Medicine, Daegu, Korea
| | - Jai Sung Noh
- Department of Psychiatry, Ajou University School of Medicine, Suwon, Korea
| | - Sang Joon Son
- Department of Psychiatry, Ajou University School of Medicine, Suwon, Korea
| | - Rae Woong Park
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea
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94
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Dragioti E, Radua J, Solmi M, Gosling CJ, Oliver D, Lascialfari F, Ahmed M, Cortese S, Estradé A, Arrondo G, Gouva M, Fornaro M, Batiridou A, Dimou K, Tsartsalis D, Carvalho AF, Shin JI, Berk M, Stringhini S, Correll CU, Fusar-Poli P. Impact of mental disorders on clinical outcomes of physical diseases: an umbrella review assessing population attributable fraction and generalized impact fraction. World Psychiatry 2023; 22:86-104. [PMID: 36640414 PMCID: PMC9840513 DOI: 10.1002/wps.21068] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/25/2022] [Indexed: 01/15/2023] Open
Abstract
Empirical evidence indicates a significant bidirectional association between mental disorders and physical diseases, but the prospective impact of men-tal disorders on clinical outcomes of physical diseases has not been comprehensively outlined. In this PRISMA- and COSMOS-E-compliant umbrella review, we searched PubMed, PsycINFO, Embase, and Joanna Briggs Institute Database of Systematic Reviews and Implementation Reports, up to March 15, 2022, to identify systematic reviews with meta-analysis that examined the prospective association between any mental disorder and clinical outcomes of physical diseases. Primary outcomes were disease-specific mortality and all-cause mortality. Secondary outcomes were disease-specific incidence, functioning and/or disability, symptom severity, quality of life, recurrence or progression, major cardiac events, and treatment-related outcomes. Additional inclusion criteria were further applied to primary studies. Random effect models were employed, along with I2 statistic, 95% prediction intervals, small-study effects test, excess significance bias test, and risk of bias (ROBIS) assessment. Associations were classified into five credibility classes of evidence (I to IV and non-significant) according to established criteria, complemented by sensitivity and subgroup analyses to examine the robustness of the main analysis. Statistical analysis was performed using a new package for conducting umbrella reviews (https://metaumbrella.org). Population attributable fraction (PAF) and generalized impact fraction (GIF) were then calculated for class I-III associations. Forty-seven systematic reviews with meta-analysis, encompassing 251 non-overlapping primary studies and reporting 74 associations, were included (68% were at low risk of bias at the ROBIS assessment). Altogether, 43 primary outcomes (disease-specific mortality: n=17; all-cause mortality: n=26) and 31 secondary outcomes were investigated. Although 72% of associations were statistically significant (p<0.05), only two showed convincing (class I) evidence: that between depressive disorders and all-cause mortality in patients with heart failure (hazard ratio, HR=1.44, 95% CI: 1.26-1.65), and that between schizophrenia and cardiovascular mortality in patients with cardiovascular diseases (risk ratio, RR=1.54, 95% CI: 1.36-1.75). Six associations showed highly suggestive (class II) evidence: those between depressive disorders and all-cause mortality in patients with diabetes mellitus (HR=2.84, 95% CI: 2.00-4.03) and with kidney failure (HR=1.41, 95% CI: 1.31-1.51); that between depressive disorders and major cardiac events in patients with myocardial infarction (odds ratio, OR=1.52, 95% CI: 1.36-1.70); that between depressive disorders and dementia in patients with diabetes mellitus (HR=2.11, 95% CI: 1.77-2.52); that between alcohol use disorder and decompensated liver cirrhosis in patients with hepatitis C (RR=3.15, 95% CI: 2.87-3.46); and that between schizophrenia and cancer mortality in patients with cancer (standardized mean ratio, SMR=1.74, 95% CI: 1.41-2.15). Sensitivity/subgroup analyses confirmed these results. The largest PAFs were 30.56% (95% CI: 27.67-33.49) for alcohol use disorder and decompensated liver cirrhosis in patients with hepatitis C, 26.81% (95% CI: 16.61-37.67) for depressive disorders and all-cause mortality in patients with diabetes mellitus, 13.68% (95% CI: 9.87-17.58) for depressive disorders and major cardiac events in patients with myocardial infarction, 11.99% (95% CI: 8.29-15.84) for schizophrenia and cardiovascular mortality in patients with cardiovascular diseases, and 11.59% (95% CI: 9.09-14.14) for depressive disorders and all-cause mortality in patients with kidney failure. The GIFs confirmed the preventive capacity of these associations. This umbrella review demonstrates that mental disorders increase the risk of a poor clinical outcome in several physical diseases. Prevention targeting mental disorders - particularly alcohol use disorders, depressive disorders, and schizophrenia - can reduce the incidence of adverse clinical outcomes in people with physical diseases. These findings can inform clinical practice and trans-speciality preventive approaches cutting across psychiatric and somatic medicine.
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Affiliation(s)
- Elena Dragioti
- Pain and Rehabilitation Centre and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Research Laboratory Psychology of Patients, Families and Health Professionals, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Joaquim Radua
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Imaging of Mood- and Anxiety-Related Disorders Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer, CIBERSAM, University of Barcelona, Barcelona, Spain
- Department of Clinical Neuroscience, Centre for Psychiatric Research and Education, Karolinska Institutet, Stockholm, Sweden
| | - Marco Solmi
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Psychiatry, University of Ottawa, Ottawa, ON, Canada
- Department of Mental Health, Ottawa Hospital, Ottawa, ON, Canada
- Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
| | - Corentin J Gosling
- Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
- DysCo Lab, Paris Nanterre University, Nanterre, France
- Laboratoire de Psychopathologie et Processus de Santé, Université Paris Cité, Boulogne-Billancourt, France
| | - Dominic Oliver
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Filippo Lascialfari
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Muhammad Ahmed
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Samuele Cortese
- Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
- Clinical and Experimental Sciences (CNS and Psychiatry), Faculty of Medicine, University of Southampton, and Solent NHS Trust, Southampton, UK
- Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, Nottingham, UK
- Hassenfeld Children's Hospital at NYU Langone, New York, NY, USA
| | - Andrés Estradé
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Gonzalo Arrondo
- Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
- Mind-Brain Group, Institute for Culture and Society, University of Navarra, Pamplona, Spain
| | - Mary Gouva
- Research Laboratory Psychology of Patients, Families and Health Professionals, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Michele Fornaro
- Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, Naples, Italy
| | - Agapi Batiridou
- Research Laboratory Psychology of Patients, Families and Health Professionals, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Konstantina Dimou
- Research Laboratory Psychology of Patients, Families and Health Professionals, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | | | - Andre F Carvalho
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine and Barwon Health, Deakin University, Geelong, VIC, Australia
| | - Jae Il Shin
- Department of Pediatrics, Yonsei University College of Medicine, Seoul, South Korea
- Department of Pediatrics, Severance Children's Hospital, Seoul, South Korea
| | - Michael Berk
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine and Barwon Health, Deakin University, Geelong, VIC, Australia
| | - Silvia Stringhini
- Division of Primary Care, Geneva University Hospitals, Geneva, Switzerland
- University Centre for General Medicine and Public Health, University of Lausanne, Lausanne, Switzerland
- Department of Health and Community Medicine, University of Geneva, Geneva, Switzerland
| | - Christoph U Correll
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
- Department of Psychiatry, Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry and Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK
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95
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Chang CK, Chesney E, Teng WN, Hollandt S, Pritchard M, Shetty H, Stewart R, McGuire P, Patel R. Life expectancy, mortality risks and cause of death in patients with serious mental illness in South East London: a comparison between 2008-2012 and 2013-2017. Psychol Med 2023; 53:887-896. [PMID: 37132645 PMCID: PMC9975985 DOI: 10.1017/s0033291721002257] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 05/08/2021] [Accepted: 05/20/2021] [Indexed: 01/28/2023]
Abstract
BACKGROUND People with serious mental illness (SMI) have a significantly shorter life expectancy than the general population. This study investigates whether the mortality rate in this group has changed over the last decade. METHODS Using Clinical Record Interactive Search software, we extracted data from a large electronic database of patients in South East London. All patients with schizophrenia, schizoaffective disorder or bipolar disorder from 2008 to 2012 and/or 2013 to 2017 were included. Estimates of life expectancy at birth, standardised mortality ratios and causes of death were obtained for each cohort according to diagnosis and gender. Comparisons were made between cohorts and with the general population using data obtained from the UK Office of National Statistics. RESULTS In total, 26 005 patients were included. In men, life expectancy was greater in 2013-2017 (64.9 years; 95% CI 63.6-66.3) than in 2008-2012 (63.2 years; 95% CI 61.5-64.9). Similarly, in women, life expectancy was greater in 2013-2017 (69.1 years; 95% CI 67.5-70.7) than in 2008-2012 (68.1 years; 95% CI 66.2-69.9). The difference with general population life expectancy fell by 0.9 years between cohorts in men, and 0.5 years in women. In the 2013-2017 cohorts, cancer accounted for a similar proportion of deaths as cardiovascular disease. CONCLUSIONS Relative to the general population, life expectancy for people with SMI is still much worse, though it appears to be improving. The increased cancer-related mortality suggests that physical health monitoring should consider including cancer as well.
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Affiliation(s)
- Chi-Kang Chang
- King's College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK
- Department of Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Taipei City, Taiwan
| | - Edward Chesney
- King's College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Wei-Nung Teng
- Department of Anaesthesiology, Taipei Veterans General Hospital and National Yang-Ming University, Taipei City, Taiwan
| | - Sam Hollandt
- King's College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | | | - Hitesh Shetty
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Robert Stewart
- King's College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Philip McGuire
- King's College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Rashmi Patel
- King's College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
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96
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Martland R, Korman N, Firth J, Stubbs B. The efficacy of exercise interventions for all types of inpatients across mental health settings: A systematic review and meta-analysis of 47 studies. J Sports Sci 2023; 41:232-271. [PMID: 37132599 DOI: 10.1080/02640414.2023.2207855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 04/18/2023] [Indexed: 05/04/2023]
Abstract
This systematic review and meta-analysis investigated the benefits, safety and adherence of exercise interventions delivered in inpatient mental health settings, quantified the number of exercise trials that provided support to maintain engagement in exercise post-discharge, and reported patient feedback towards exercise interventions. Major databases were searched from inception to 22.06.2022 for intervention studies investigating exercise in mental health inpatient settings. Study quality was assessed using Cochrane and ROBINS-1 checklists. Fifty-six papers were included from 47 trials (including 34 RCTs), bias was high. Exercise improved depression (Standardised mean difference = -0.416; 95% Confidence interval -0.787 to -0.045, N = 15) compared to non-exercise comparators amongst people with a range of mental illnesses, with further (albeit limited) evidence suggesting a role of exercise in cardiorespiratory fitness and various other physical health parameters and ameliorating psychiatric symptoms. No serious exercise-related adverse events were noted, attendance was ≥80% in most trials, and exercise was perceived as enjoyable and useful. Five trials offered patients post-discharge support to continue exercise, with varying success. In conclusion, exercise interventions may have therapeutic benefits in inpatient mental health settings. More high-quality trials are needed to determine optimal parameters, and future research should investigate systems to support patients to maintain exercise engagement once discharged.
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Affiliation(s)
- Rebecca Martland
- King's College London, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), London, UK
| | - Nicole Korman
- Metro South Addiction and Mental Health Services, Brisbane, Australia
- School of Medicine, University of Queensland, Brisbane, Australia
| | - Joseph Firth
- Western Sydney University, Westmead, NSW, NICM Health Research Institute, Australia
- Faculty of Biology, Medicine & Health, Division of Psychology and Mental Health, University of Manchester, Manchester, United Kingdom
| | - Brendon Stubbs
- King's College London, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), London, UK
- South London and Maudsley NHS Foundation Trust, London, United Kingdom
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97
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Andreassen OA, Hindley GFL, Frei O, Smeland OB. New insights from the last decade of research in psychiatric genetics: discoveries, challenges and clinical implications. World Psychiatry 2023; 22:4-24. [PMID: 36640404 PMCID: PMC9840515 DOI: 10.1002/wps.21034] [Citation(s) in RCA: 40] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/07/2022] [Indexed: 01/15/2023] Open
Abstract
Psychiatric genetics has made substantial progress in the last decade, providing new insights into the genetic etiology of psychiatric disorders, and paving the way for precision psychiatry, in which individual genetic profiles may be used to personalize risk assessment and inform clinical decision-making. Long recognized to be heritable, recent evidence shows that psychiatric disorders are influenced by thousands of genetic variants acting together. Most of these variants are commonly occurring, meaning that every individual has a genetic risk to each psychiatric disorder, from low to high. A series of large-scale genetic studies have discovered an increasing number of common and rare genetic variants robustly associated with major psychiatric disorders. The most convincing biological interpretation of the genetic findings implicates altered synaptic function in autism spectrum disorder and schizophrenia. However, the mechanistic understanding is still incomplete. In line with their extensive clinical and epidemiological overlap, psychiatric disorders appear to exist on genetic continua and share a large degree of genetic risk with one another. This provides further support to the notion that current psychiatric diagnoses do not represent distinct pathogenic entities, which may inform ongoing attempts to reconceptualize psychiatric nosology. Psychiatric disorders also share genetic influences with a range of behavioral and somatic traits and diseases, including brain structures, cognitive function, immunological phenotypes and cardiovascular disease, suggesting shared genetic etiology of potential clinical importance. Current polygenic risk score tools, which predict individual genetic susceptibility to illness, do not yet provide clinically actionable information. However, their precision is likely to improve in the coming years, and they may eventually become part of clinical practice, stressing the need to educate clinicians and patients about their potential use and misuse. This review discusses key recent insights from psychiatric genetics and their possible clinical applications, and suggests future directions.
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Affiliation(s)
- Ole A Andreassen
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Guy F L Hindley
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Oleksandr Frei
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Centre for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway
| | - Olav B Smeland
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
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98
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Li X, Deng W, Xue R, Wang Q, Ren H, Wei W, Zhang Y, Li M, Zhao L, Du X, Meng Y, Ma X, Hall MH, Li T. Auditory event-related potentials, neurocognition, and global functioning in drug naïve first-episode schizophrenia and bipolar disorder. Psychol Med 2023; 53:785-794. [PMID: 34474699 DOI: 10.1017/s0033291721002130] [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] [Indexed: 02/05/2023]
Abstract
BACKGROUND Deficits in event-related potential (ERP) including duration mismatch negativity (MMN) and P3a have been demonstrated widely in chronic schizophrenia (SZ) but inconsistent findings were reported in first-episode patients. Psychotropic medications and diagnosis might contribute to different findings on MMN/P3a ERP in first-episode patients. The present study examined MMN and P3a in first episode drug naïve SZ and bipolar disorder (BPD) patients and explored the relationships among ERPs, neurocognition and global functioning. METHODS Twenty SZ, 24 BPD and 49 age and sex-matched healthy controls were enrolled in this study. Data of clinical symptoms [Positive and Negative Symptoms Scale (PANSS), Young Manic Rating Scale (YMRS), Hamilton Depression Rating Scale (HAMD)], neurocognition [Wechsler Adult Intelligence Scale (WAIS), Cattell's Culture Fair Intelligence Test (CCFT), Delay Matching to Sample (DMS), Rapid Visual Information Processing (RVP)], and functioning [Functioning Assessment Short Test (FAST)] were collected. P3a and MMN were elicited using a passive auditory oddball paradigm. RESULTS Significant MMN and P3a deficits and impaired neurocognition were found in both SZ and BPD patients. In SZ, MMN was significantly correlated with FAST (r = 0.48) and CCFT (r = -0.31). In BPD, MMN was significantly correlated with DMS (r = -0.54). For P3a, RVP and FAST scores were significant predictors in SZ, whereas RVP, WAIS and FAST were significant predictors in BPD. CONCLUSIONS The present study found deficits in MMN, P3a, neurocognition in drug naïve SZ and BPD patients. These deficits appeared to link with levels of higher-order cognition and functioning.
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Affiliation(s)
- Xiaojing Li
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Wei Deng
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Rui Xue
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Qiang Wang
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Hongyan Ren
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Wei Wei
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Yamin Zhang
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Mingli Li
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Liansheng Zhao
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Xiangdong Du
- Suzhou Psychiatry hospital, The Affiliated Guangji Hospital of Soochow University, Jiangsu, China
| | - Yajing Meng
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Xiaohong Ma
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Mei-Hua Hall
- Psychosis Neurobiology Laboratory, McLean Hospital, Harvard Medical School, Belmont, MA, USA
| | - Tao Li
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
- Suzhou Psychiatry hospital, The Affiliated Guangji Hospital of Soochow University, Jiangsu, China
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
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99
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Holland C, Hudson-Jessop P. Quantifying consultations to medical specialties during psychiatric inpatient admissions in a Queensland tertiary hospital. Australas Psychiatry 2023; 31:65-68. [PMID: 36341710 DOI: 10.1177/10398562221131160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
OBJECTIVES To identify and characterise medical consultations to psychiatric inpatients. METHOD Retrospective cross-sectional descriptive study of 451 psychiatric inpatients' electronic medical records between 1 January and 30 June 2021 with descriptive statistics. RESULTS Thirty one percent (n = 131) of inpatients required medical consultation, with 382 total consultations including ward call. Half (57.9%) were telephone advice. Main consulting specialties were general medicine (25%), anaesthetics (12%), neurology (9.9%), cardiology (6.5%) and endocrinology (6.2%). Almost all (99.0%) consultations resulted in documented management plans. CONCLUSIONS This is the first Australian descriptive study quantifying and characterising psychiatric inpatient consultation requests. Physical and psychiatric healthcare integration requires ongoing efforts, including improved referral pathways.
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Affiliation(s)
- Carissa Holland
- 523457Sunshine Coast University Hospital, Sunshine Coast, QLD, AU
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100
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Azimi Manavi B, Stuart AL, Pasco JA, Hodge JM, Samarasinghe RM, Weerasinghe DK, Williams LJ. Use of antipsychotic medication and its relationship with bone mineral density: A population-based study of men and women. Front Psychiatry 2023; 13:1004366. [PMID: 36684026 PMCID: PMC9849889 DOI: 10.3389/fpsyt.2022.1004366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 11/21/2022] [Indexed: 01/07/2023] Open
Abstract
Background Schizophrenia has been shown to be associated with reduced bone mineral density (BMD) and higher fracture risk. However, less is known whether antipsychotic treatment is associated with reduced BMD. Thus, we aimed to examine associations between antipsychotic use and BMD among men and women drawn from the general population. Methods This cross-sectional study involved 793 women and 587 men enrolled in the Geelong Osteoporosis Study (GOS). BMD was determined using dual-energy X-ray absorptiometry at the spine and hip. Information regarding socio-economic status (SES), current medication and/or supplementation use, lifestyle factors, and anthropometry was collected. Association between antipsychotic use and BMD was determined using linear regression after adjusting for potential confounders. Results Of the group, 33 women (4.2%) and 16 men (2.7%) currently used antipsychotics. Age was identified as an effect modifier in the association between antipsychotic use and BMD for women. Amongst women aged < 60 years, adjusted mean BMD was 11.1% lower at the spine [1.139 (95%CI 1.063-1.216) vs. 1.250 (95%CI 1.223-1.277) g/cm2, p = 0.005] for antipsychotic users compared to non-users. At the hip, age, weight, and smoking adjusted mean BMD was 9.9% lower [0.893 (95%CI 0.837-0.950) vs. 0.992 (95%CI 0.976-1.007) g/cm2, p < 0.001] for antipsychotic users in comparison with non-users. The pattern persisted following further adjustments. There was no association detected between antipsychotic use and BMD for women aged 60 years and over and for men. Conclusion Our data suggest that antipsychotic medication use is associated with reduced BMD in younger women but not older women or men.
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Affiliation(s)
- Behnaz Azimi Manavi
- School of Medicine, IMPACT—The Institute for Mental and Physical Health and Clinical Translation, Deakin University, Geelong, VIC, Australia
| | - Amanda L. Stuart
- School of Medicine, IMPACT—The Institute for Mental and Physical Health and Clinical Translation, Deakin University, Geelong, VIC, Australia
| | - Julie A. Pasco
- School of Medicine, IMPACT—The Institute for Mental and Physical Health and Clinical Translation, Deakin University, Geelong, VIC, Australia
- Barwon Health, Geelong, VIC, Australia
- Department of Medicine-Western Health, The University of Melbourne, St Albans, VIC, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Jason M. Hodge
- School of Medicine, IMPACT—The Institute for Mental and Physical Health and Clinical Translation, Deakin University, Geelong, VIC, Australia
- Barwon Health, Geelong, VIC, Australia
- Geelong Centre for Emerging Infectious Diseases, Geelong, VIC, Australia
| | - Rasika M. Samarasinghe
- School of Medicine, IMPACT—The Institute for Mental and Physical Health and Clinical Translation, Deakin University, Geelong, VIC, Australia
| | - D. Kavindi Weerasinghe
- School of Medicine, IMPACT—The Institute for Mental and Physical Health and Clinical Translation, Deakin University, Geelong, VIC, Australia
| | - Lana J. Williams
- School of Medicine, IMPACT—The Institute for Mental and Physical Health and Clinical Translation, Deakin University, Geelong, VIC, Australia
- Barwon Health, Geelong, VIC, Australia
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