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Pechuán E, Toll A, Bergé D, Legido T, Martínez-Sadurní L, Trabsa A, De Iturbe G, Fernández SG, Jiménez-Fernández B, Fernández A, Pérez-Solà V, Mané A. Clozapine use in the first two years after first-episode psychosis in a real-world clinical sample. SPANISH JOURNAL OF PSYCHIATRY AND MENTAL HEALTH 2024:S2950-2853(24)00035-8. [PMID: 38908404 DOI: 10.1016/j.sjpmh.2024.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 04/26/2024] [Accepted: 06/13/2024] [Indexed: 06/24/2024]
Abstract
BACKGROUND Approximately 20-30% of patients with schizophrenia fail to respond to antipsychotic treatment and are considered treatment resistant (TR). Although clozapine is the treatment of choice in these patients, in real-world clinical settings, clinicians often delay clozapine initiation, especially in first-episode psychosis (FEP). AIM The main aim of this study was to describe prescription patterns for clozapine in a sample of patients diagnosed with FEP and receiving specialized treatment at a university hospital. More specifically, we aimed to determine the following: (1) the proportion of patients who received clozapine within two years of disease onset, (2) baseline predictors of clozapine use, (3) time from starting the first antipsychotic to clozapine initiation, (4) concomitant medications, and (5) clozapine-related adverse effects. METHODS All patients admitted to a specialized FEP treatment unit at our hospital between April 2013 and July 2020 were included and followed for two years. The following variables were assessed: baseline sociodemographic characteristics; medications prescribed during follow-up; clozapine-related adverse effects; and baseline predictors of clozapine use. We classified the sample into three groups: clozapine users, clozapine-eligible, and non-treatment resistant (TR). RESULTS A total of 255 patients were consecutively included. Of these, 20 (7.8%) received clozapine, 57 (22.4%) were clozapine-eligible, and 178 (69.8%) were non-TR. The only significant variable associated with clozapine use at baseline was the Global Assessment of Functioning (GAF) score (R2=0.09, B=-0.07; OR=0.94; 95% CI: 0.88-0.99; p=0.019). The median time to clozapine initiation was 55.0 (93.3) days. The most common side effect was sedation. CONCLUSIONS A significant proportion (30.2%) of patients in this cohort were treatment resistant and eligible for clozapine. However, only 7.8% of the sample received clozapine, indicating that this medication was underprescribed. A lower baseline GAF score was associated with clozapine use within two years, suggesting that it could be used to facilitate the early identification of patients who will need treatment with clozapine, which could in turn improve treatment outcomes.
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Affiliation(s)
- Emilio Pechuán
- Institut de Neuropsiquiatria i Adiccions (INAD), Parc de Salut Mar, Barcelona, Spain
| | - Alba Toll
- Departament de Psiquiatria, Hospital Universitari Germans Trias i Pujol (HGTiP), Badalona (Barcelona), Spain; Institut de Recerca Germans Trias i Pujol (IGTP), Badalona (Barcelona), Spain; Universitat Autònoma de Barcelona (UAB), Barcelona, Spain; Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Barcelona, Spain.
| | - Daniel Bergé
- Institut de Neuropsiquiatria i Adiccions (INAD), Parc de Salut Mar, Barcelona, Spain; Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Barcelona, Spain; Fundació Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Teresa Legido
- Institut de Neuropsiquiatria i Adiccions (INAD), Parc de Salut Mar, Barcelona, Spain; Fundació Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Laura Martínez-Sadurní
- Institut de Neuropsiquiatria i Adiccions (INAD), Parc de Salut Mar, Barcelona, Spain; Fundació Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Amira Trabsa
- Institut de Neuropsiquiatria i Adiccions (INAD), Parc de Salut Mar, Barcelona, Spain; Fundació Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Gonzalo De Iturbe
- Institut de Neuropsiquiatria i Adiccions (INAD), Parc de Salut Mar, Barcelona, Spain
| | - Sara García Fernández
- Institut de Neuropsiquiatria i Adiccions (INAD), Parc de Salut Mar, Barcelona, Spain
| | - Beltran Jiménez-Fernández
- Departament de Psiquiatria, Hospital Universitari Germans Trias i Pujol (HGTiP), Badalona (Barcelona), Spain
| | - Aurea Fernández
- Departament de Psiquiatria, Hospital Universitari Germans Trias i Pujol (HGTiP), Badalona (Barcelona), Spain; Institut de Recerca Germans Trias i Pujol (IGTP), Badalona (Barcelona), Spain; Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Víctor Pérez-Solà
- Institut de Neuropsiquiatria i Adiccions (INAD), Parc de Salut Mar, Barcelona, Spain; Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Barcelona, Spain; Fundació Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Anna Mané
- Institut de Neuropsiquiatria i Adiccions (INAD), Parc de Salut Mar, Barcelona, Spain; Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Barcelona, Spain; Fundació Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
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2
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O'Donoghue B, Piacenza F, Plapp H, Siskind D, Lyne J. Response rates to sequential trials of antipsychotic medications according to algorithms or treatment guidelines in psychotic disorders. A systematic review and meta-analysis. Schizophr Res 2024; 268:193-204. [PMID: 38493023 DOI: 10.1016/j.schres.2024.02.035] [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: 08/25/2023] [Revised: 02/20/2024] [Accepted: 02/20/2024] [Indexed: 03/18/2024]
Abstract
BACKGROUND There is a relative lack of research evaluating the outcomes when treatment guidelines or algorithms for psychotic disorders are followed. This systematic review and meta-analysis determined the response rates to antipsychotic medications at different stages of these algorithms and whether these response rates differ in first episode cohorts. METHODS Data sources: A systematic search strategy was conducted across four databases PubMed, EMBASE, PsycINFO (Ovid) and CINAHL. Studies that had sequential trials of different antipsychotic medications were included. A meta-analysis of proportions was performed using random effects models and sub-group analysis in first episode psychosis studies. RESULTS Of the 4078 unique articles screened, fourteen articles, from nine unique studies, were eligible and included 2522 participants. The proportion who experienced a response to any antipsychotic in the first stage of an algorithm was 0.53 (95 % C.I.:0.38,0.68) and this decreased to 0.26 (95 % C.I.:0.15,0.39) in the second stage. When clozapine was used in the third stage, the proportion that achieved a response was 0.43 (95 % C.I. 0.19, 0.69) compared to 0.26 (95 % C.I.:0.05,0.54) if a different antipsychotic was used. Four studies included 907 participants with a first episode of psychosis and the proportions that achieved a response were: 1st stage: 0.63 (95 % C.I.: 0.45, 0.79); 2nd stage: 0.34 (95 % C.I.:0.16,0.55); clozapine 3rd stage: 0.45 (95 % C.I.:0.0,0.97), different antipsychotic 3rd stage: 0.15 (95 % C.I.,0.01,0.37). DISCUSSION These findings support the recommendation to have a trial of clozapine after two other antipsychotic medications have been found to be ineffective.
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Affiliation(s)
- Brian O'Donoghue
- Department of Psychiatry, University College Dublin, Ireland; Department of Psychiatry, St Vincent's University Hospital, Dublin, Ireland; Department of Psychiatry, Royal College of Surgeons, Ireland; Centre for Youth Mental Health, University of Melbourne, Australia.
| | | | - Helena Plapp
- Department of Psychiatry, St Vincent's University Hospital, Dublin, Ireland; Orygen, Melbourne, Australia
| | - Dan Siskind
- Metro South Addiction and Mental Health Service, Brisbane, QLD, Australia; University of Queensland, School of Clinical Medicine, Brisbane, QLD, Australia; Physical and Mental Health Stream, Queensland Centre for Mental Health Research, Brisbane, QLD, Australia
| | - John Lyne
- Department of Psychiatry, Royal College of Surgeons, Ireland; Health Service Executive, Newcastle Hospital, Wicklow, Ireland
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3
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Griffiths SL, Murray GK, Logeswaran Y, Ainsworth J, Allan SM, Campbell N, Drake RJ, Katshu MZUH, Machin M, Pope MA, Sullivan SA, Waring J, Bogatsu T, Kane J, Weetman T, Johnson S, Kirkbride JB, Upthegrove R. Implementing and Evaluating a National Integrated Digital Registry and Clinical Decision Support System in Early Intervention in Psychosis Services (Early Psychosis Informatics Into Care): Co-Designed Protocol. JMIR Res Protoc 2024; 13:e50177. [PMID: 38502175 PMCID: PMC10988369 DOI: 10.2196/50177] [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: 06/23/2023] [Revised: 01/21/2024] [Accepted: 02/21/2024] [Indexed: 03/20/2024] Open
Abstract
BACKGROUND Early intervention in psychosis (EIP) services are nationally mandated in England to provide multidisciplinary care to people experiencing first-episode psychosis, which disproportionately affects deprived and ethnic minority youth. Quality of service provision varies by region, and people from historically underserved populations have unequal access. In other disease areas, including stroke and dementia, national digital registries coupled with clinical decision support systems (CDSSs) have revolutionized the delivery of equitable, evidence-based interventions to transform patient outcomes and reduce population-level disparities in care. Given psychosis is ranked the third most burdensome mental health condition by the World Health Organization, it is essential that we achieve the same parity of health improvements. OBJECTIVE This paper reports the protocol for the program development phase of this study, in which we aimed to co-design and produce an evidence-based, stakeholder-informed framework for the building, implementation, piloting, and evaluation of a national integrated digital registry and CDSS for psychosis, known as EPICare (Early Psychosis Informatics into Care). METHODS We conducted 3 concurrent work packages, with reciprocal knowledge exchange between each. In work package 1, using a participatory co-design framework, key stakeholders (clinicians, academics, policy makers, and patient and public contributors) engaged in 4 workshops to review, refine, and identify a core set of essential and desirable measures and features of the EPICare registry and CDSS. Using a modified Delphi approach, we then developed a consensus of data priorities. In work package 2, we collaborated with National Health Service (NHS) informatics teams to identify relevant data currently captured in electronic health records, understand data retrieval methods, and design the software architecture and data model to inform future implementation. In work package 3, observations of stakeholder workshops and individual interviews with representative stakeholders (n=10) were subject to interpretative qualitative analysis, guided by normalization process theory, to identify factors likely to influence the adoption and implementation of EPICare into routine practice. RESULTS Stage 1 of the EPICare study took place between December 2021 and September 2022. The next steps include stage 2 building, piloting, implementation, and evaluation of EPICare in 5 demonstrator NHS Trusts serving underserved and diverse populations with substantial need for EIP care in England. If successful, this will be followed by stage 3, in which we will seek NHS adoption of EPICare for rollout to all EIP services in England. CONCLUSIONS By establishing a multistakeholder network and engaging them in an iterative co-design process, we have identified essential and desirable elements of the EPICare registry and CDSS; proactively identified and minimized potential challenges and barriers to uptake and implementation; and addressed key questions related to informatics architecture, infrastructure, governance, and integration in diverse NHS Trusts, enabling us to proceed with the building, piloting, implementation, and evaluation of EPICare. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/50177.
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Affiliation(s)
- Siân Lowri Griffiths
- Institute for Mental Health, University of Birmingham, Birmingham, United Kingdom
| | - Graham K Murray
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
- CAMEO, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, United Kingdom
| | - Yanakan Logeswaran
- Division of Psychiatry, University College London, London, United Kingdom
| | - John Ainsworth
- The University of Manchester, Manchester, United Kingdom
- NIHR Manchester Biomedical Research Centre, Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Sophie M Allan
- Department of Clinical Psychology and Psychotherapies, Medical School, University of East Anglia, Norwich, United Kingdom
- School of Health Sciences, University of East Anglia, Norwich, United Kingdom
| | - Niyah Campbell
- Institute for Mental Health, University of Birmingham, Birmingham, United Kingdom
| | - Richard J Drake
- The University of Manchester, Manchester, United Kingdom
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom
| | - Mohammad Zia Ul Haq Katshu
- Institute of Mental Health, School of Medicine, University of Nottingham, Nottingham, United Kingdom
- Nottinghamshire Healthcare NHS Foundation Trust, Nottingham, United Kingdom
| | - Matthew Machin
- The University of Manchester, Manchester, United Kingdom
| | - Megan A Pope
- Institute for Mental Health, University of Birmingham, Birmingham, United Kingdom
| | - Sarah A Sullivan
- Centre for Academic Mental Health, University of Bristol, Bristol, United Kingdom
- Biomedical Research Centre, University of Bristol, Bristol, United Kingdom
| | - Justin Waring
- School of Social Policy, University of Birmingham, Birmingham, United Kingdom
| | - Tumelo Bogatsu
- Institute for Mental Health, University of Birmingham, Birmingham, United Kingdom
| | - Julie Kane
- Birmingham Women's and Children's NHS Foundation Trust, Birmingham, United Kingdom
| | - Tyler Weetman
- Birmingham Women's and Children's NHS Foundation Trust, Birmingham, United Kingdom
| | - Sonia Johnson
- Division of Psychiatry, University College London, London, United Kingdom
- Camden and Islington NHS Foundation Trust, London, United Kingdom
| | - James B Kirkbride
- Division of Psychiatry, University College London, London, United Kingdom
| | - Rachel Upthegrove
- Institute for Mental Health, University of Birmingham, Birmingham, United Kingdom
- Birmingham Women's and Children's NHS Foundation Trust, Birmingham, United Kingdom
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Voineskos AN, Hawco C, Neufeld NH, Turner JA, Ameis SH, Anticevic A, Buchanan RW, Cadenhead K, Dazzan P, Dickie EW, Gallucci J, Lahti AC, Malhotra AK, Öngür D, Lencz T, Sarpal DK, Oliver LD. Functional magnetic resonance imaging in schizophrenia: current evidence, methodological advances, limitations and future directions. World Psychiatry 2024; 23:26-51. [PMID: 38214624 PMCID: PMC10786022 DOI: 10.1002/wps.21159] [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] [Indexed: 01/13/2024] Open
Abstract
Functional neuroimaging emerged with great promise and has provided fundamental insights into the neurobiology of schizophrenia. However, it has faced challenges and criticisms, most notably a lack of clinical translation. This paper provides a comprehensive review and critical summary of the literature on functional neuroimaging, in particular functional magnetic resonance imaging (fMRI), in schizophrenia. We begin by reviewing research on fMRI biomarkers in schizophrenia and the clinical high risk phase through a historical lens, moving from case-control regional brain activation to global connectivity and advanced analytical approaches, and more recent machine learning algorithms to identify predictive neuroimaging features. Findings from fMRI studies of negative symptoms as well as of neurocognitive and social cognitive deficits are then reviewed. Functional neural markers of these symptoms and deficits may represent promising treatment targets in schizophrenia. Next, we summarize fMRI research related to antipsychotic medication, psychotherapy and psychosocial interventions, and neurostimulation, including treatment response and resistance, therapeutic mechanisms, and treatment targeting. We also review the utility of fMRI and data-driven approaches to dissect the heterogeneity of schizophrenia, moving beyond case-control comparisons, as well as methodological considerations and advances, including consortia and precision fMRI. Lastly, limitations and future directions of research in the field are discussed. Our comprehensive review suggests that, in order for fMRI to be clinically useful in the care of patients with schizophrenia, research should address potentially actionable clinical decisions that are routine in schizophrenia treatment, such as which antipsychotic should be prescribed or whether a given patient is likely to have persistent functional impairment. The potential clinical utility of fMRI is influenced by and must be weighed against cost and accessibility factors. Future evaluations of the utility of fMRI in prognostic and treatment response studies may consider including a health economics analysis.
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Affiliation(s)
- Aristotle N Voineskos
- Campbell Family Mental Health Research Institute and Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Colin Hawco
- Campbell Family Mental Health Research Institute and Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Nicholas H Neufeld
- Campbell Family Mental Health Research Institute and Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Jessica A Turner
- Department of Psychiatry and Behavioral Health, Wexner Medical Center, Ohio State University, Columbus, OH, USA
| | - Stephanie H Ameis
- Campbell Family Mental Health Research Institute and Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Cundill Centre for Child and Youth Depression and McCain Centre for Child, Youth and Family Mental Health, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Alan Anticevic
- Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Robert W Buchanan
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Kristin Cadenhead
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Paola Dazzan
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Erin W Dickie
- Campbell Family Mental Health Research Institute and Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Julia Gallucci
- Campbell Family Mental Health Research Institute and Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Adrienne C Lahti
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Anil K Malhotra
- Institute for Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Department of Psychiatry, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Psychiatry, Zucker Hillside Hospital Division of Northwell Health, Glen Oaks, NY, USA
| | - Dost Öngür
- McLean Hospital/Harvard Medical School, Belmont, MA, USA
| | - Todd Lencz
- Institute for Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Department of Psychiatry, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Psychiatry, Zucker Hillside Hospital Division of Northwell Health, Glen Oaks, NY, USA
| | - Deepak K Sarpal
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lindsay D Oliver
- Campbell Family Mental Health Research Institute and Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
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Gupta N, Gupta M, Esang M. Lost in Translation: Challenges in the Diagnosis and Treatment of Early-Onset Schizophrenia. Cureus 2023; 15:e39488. [PMID: 37362509 PMCID: PMC10290525 DOI: 10.7759/cureus.39488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/25/2023] [Indexed: 06/28/2023] Open
Abstract
Early-onset schizophrenia (EOS) is a heterogeneous condition that has a serious, insidious clinical course and poor long-term mental health outcomes. The clinical presentations are highly complex due to the overlapping symptomatology with other illnesses, which contributes to a delay in the diagnosis. The objective of the review is to study if an earlier age of onset (AAO) of EOS has poor clinical outcomes, the diagnostic challenges of EOS, and effective treatment strategies. The review provides a comprehensive literature search of 5966 articles and summarizes 126 selected for empirical evidence to methodically consider challenges in diagnosing and treating EOS for practicing clinicians. The risk factors of EOS are unique but have been shared with many other neuropsychiatric illnesses. Most of the risk factors, including genetics and obstetric complications, are nonmodifiable. The role of early diagnosis in reducing the duration of untreated psychosis (DUP) remains critical to reducing overall morbidity. Many specific issues contribute to the risk and clinical outcomes. Therefore, issues around diagnostic ambiguity, treatment resistance, nonadherence, and rehospitalizations further extend the DUP. There is hesitancy to initiate clozapine early, even though the empirical evidence strongly supports its use. There is a growing body of research that suggests the use of long-acting injectables to address nonadherence, and these measures are largely underutilized in acute settings. The clinical presentations of EOS are complex. In addition to the presence of specific risk factors, patients with an early onset of illness are also at a higher risk for treatment resistance. While there is a need to develop tools for early diagnosis, established evidence-based measures to address nonadherence, psychoeducation, and resistance must be incorporated into the treatment planning.
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Affiliation(s)
- Nihit Gupta
- Psychiatry, Dayton Children's Hospital, Dayton, USA
| | - Mayank Gupta
- Psychiatry and Behavioral Sciences, Southwood Psychiatric Hospital, Pittsburgh, USA
| | - Michael Esang
- Psychiatry and Behavioral Sciences, Clarion Psychiatric Center, Clarion, USA
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6
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Millgate E, Smart SE, Pardiñas AF, Kravariti E, Ajnakina O, Kępińska AP, Andreassen OA, Barnes TRE, Berardi D, Crespo-Facorro B, D'Andrea G, Demjaha A, Di Forti M, Doody GA, Kassoumeri L, Ferchiou A, Guidi L, Joyce EM, Lastrina O, Melle I, Pignon B, Richard JR, Simonsen C, Szöke A, Tarricone I, Tortelli A, Vázquez-Bourgon J, Murray RM, Walters JTR, MacCabe JH. Cognitive performance at first episode of psychosis and the relationship with future treatment resistance: Evidence from an international prospective cohort study. Schizophr Res 2023; 255:173-181. [PMID: 37001392 PMCID: PMC10390338 DOI: 10.1016/j.schres.2023.03.020] [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: 10/24/2021] [Revised: 01/26/2023] [Accepted: 03/11/2023] [Indexed: 05/13/2023]
Abstract
BACKGROUND Antipsychotic treatment resistance affects up to a third of individuals with schizophrenia, with recent research finding systematic biological differences between antipsychotic resistant and responsive patients. Our aim was to determine whether cognitive impairment at first episode significantly differs between future antipsychotic responders and resistant cases. METHODS Analysis of data from seven international cohorts of first-episode psychosis (FEP) with cognitive data at baseline (N = 683) and follow-up data on antipsychotic treatment response: 605 treatment responsive and 78 treatment resistant cases. Cognitive measures were grouped into seven cognitive domains based on the pre-existing literature. We ran multiple imputation for missing data and used logistic regression to test for associations between cognitive performance at FEP and treatment resistant status at follow-up. RESULTS On average patients who were future classified as treatment resistant reported poorer performance across most cognitive domains at baseline. Univariate logistic regressions showed that antipsychotic treatment resistance cases had significantly poorer IQ/general cognitive functioning at FEP (OR = 0.70, p = .003). These findings remained significant after adjusting for additional variables in multivariable analyses (OR = 0.76, p = .049). CONCLUSIONS Although replication in larger studies is required, it appears that deficits in IQ/general cognitive functioning at first episode are associated with future treatment resistance. Cognitive variables may be able to provide further insight into neurodevelopmental factors associated with treatment resistance or act as early predictors of treatment resistance, which could allow prompt identification of refractory illness and timely interventions.
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Affiliation(s)
- Edward Millgate
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Sophie E Smart
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Antonio F Pardiñas
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Eugenia Kravariti
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Olesya Ajnakina
- Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Adrianna P Kępińska
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | | | - Domenico Berardi
- Department of Biomedical and Neuro-motor Sciences, Psychiatry Unit, Alma Mater Studiorum Università di Bologna, Bologna, Italy
| | - Benedicto Crespo-Facorro
- Department of Psychiatry, Hospital Universitario Virgen del Rocio, IBiS, Universidad de Sevilla, Spain; Centro de Investigacion en Red Salud Mental (CIBERSAM), Sevilla, Spain
| | - Giuseppe D'Andrea
- Department of Biomedical and Neuro-motor Sciences, Psychiatry Unit, Alma Mater Studiorum Università di Bologna, Bologna, Italy
| | - Arsime Demjaha
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Marta Di Forti
- Social Genetics and Developmental Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; South London and Maudsley NHS Mental Health Foundation Trust, London, UK
| | - Gillian A Doody
- Department of Medical Education, University of Nottingham Faculty of Medicine and Health Sciences, Nottingham, UK
| | - Laura Kassoumeri
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Aziz Ferchiou
- Univ Paris Est Creteil, INSERM, IMRB, Translational Neuropsychiatry, Fondation FondaMental, Creteil, France; AP-HP, Hôpitaux Universitaires H. Mondor, DMU IMPACT, FHU ADAPT, Creteil, France
| | - Lorenzo Guidi
- Department of Medical and Surgical Sciences, Bologna Transcultural Psychosomatic Team (BoTPT), Alma Mater Studiorum - University of Bologna, Bologna, Italy
| | - Eileen M Joyce
- Department of Clinical and Movement Neuroscience, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Ornella Lastrina
- Department of Medical and Surgical Sciences, Bologna Transcultural Psychosomatic Team (BoTPT), Alma Mater Studiorum - University of Bologna, Bologna, Italy
| | - Ingrid Melle
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Baptiste Pignon
- Univ Paris Est Creteil, INSERM, IMRB, Translational Neuropsychiatry, Fondation FondaMental, Creteil, France; AP-HP, Hôpitaux Universitaires H. Mondor, DMU IMPACT, FHU ADAPT, Creteil, France
| | - Jean-Romain Richard
- Univ Paris Est Creteil, INSERM, IMRB, Translational Neuropsychiatry, Fondation FondaMental, Creteil, France
| | - Carmen Simonsen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Early Intervention in Psychosis Advisory Unit for South East Norway (TIPS Sør-Øst), Division of Mental Health and Addiction, Oslo University Hospital, Norway
| | - Andrei Szöke
- Univ Paris Est Creteil, INSERM, IMRB, Translational Neuropsychiatry, Fondation FondaMental, Creteil, France; AP-HP, Hôpitaux Universitaires H. Mondor, DMU IMPACT, FHU ADAPT, Creteil, France
| | - Ilaria Tarricone
- Department of Medical and Surgical Sciences, Bologna Transcultural Psychosomatic Team (BoTPT), Alma Mater Studiorum - University of Bologna, Bologna, Italy
| | - Andrea Tortelli
- Univ Paris Est Creteil, INSERM, IMRB, Translational Neuropsychiatry, Fondation FondaMental, Creteil, France; Groupe Hospitalier Universitaire Psychiatrie Neurosciences Paris, Pôle Psychiatrie Précarité, Paris, France
| | - Javier Vázquez-Bourgon
- Centro de Investigacion en Red Salud Mental (CIBERSAM), Sevilla, Spain; Department of Psychiatry, University Hospital Marques de Valdecilla - Instituto de Investigación Marques de Valdecilla (IDIVAL), Santander, Spain; Department of Medicine and Psychiatry, School of Medicine, University of Cantabria, Santander, Spain
| | - Robin M Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - James T R Walters
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - James H MacCabe
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; South London and Maudsley NHS Mental Health Foundation Trust, London, UK.
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7
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Oloyede E, Blackman G, Mantell B, Harris E, Williams J, Taylor D, MacCabe J, McGuire P. What are the barriers and facilitators of clozapine use in early psychosis? A survey of UK early intervention clinicians. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2023; 9:26. [PMID: 37117237 PMCID: PMC10147630 DOI: 10.1038/s41537-023-00353-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 04/03/2023] [Indexed: 04/30/2023]
Abstract
Clozapine is the most effective medication for treatment-resistant psychosis, but evidence points to substantial underuse, especially within early intervention psychosis (EIP) services. We explored clinicians' views on perceived barriers and facilitators to offering patients clozapine within EIP services. A cross-sectional survey was distributed electronically to clinicians practising in EIP services across England. A mixed methods approach was used to assess barriers to clozapine, and attitudes and opinions concerning clozapine underutilisation. Based on the barriers identified in the literature, clinicians were asked to rate each one (scale:1-7) based on importance, with a higher score indicating higher importance. Clinicians were also asked open-ended questions on barriers to clozapine and how access can be improved in EIP services. Quantitative data were analysed using descriptive and inferential statistics, and qualitative responses were analysed thematically. One hundred and nineteen EIP clinicians from 35 services in England completed the survey. In total, 37% (n = 45) of clinicians perceived that clozapine was under-prescribed in their EIP service. The most important barrier to utilising clozapine were patient concerns with side effects, followed by monitoring requirements and clinician concerns with side effects. Thematic analysis identified 17 perceived barriers, which were grouped into three major themes: administrative (5 subthemes), clinician-related (6 subthemes), and patient-related (6 subthemes). Perceived facilitators to improving clozapine use were greater training, improved resources, and optimised monitoring. The main barriers to clozapine in EIP services, as identified by clinicians, are patient concerns regarding side effects and monitoring requirements. Identified facilitators for improved clozapine use include clinician training, improved resources, guidelines, and point-of-care testing.
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Affiliation(s)
- Ebenezer Oloyede
- South London and Maudsley NHS Foundation Trust, London, UK.
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
- Department of Psychiatry, University of Oxford, Warneford, UK.
| | - Graham Blackman
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Psychiatry, University of Oxford, Warneford, UK
| | - Bethany Mantell
- South London and Maudsley NHS Foundation Trust, London, UK
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Eleanor Harris
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Julie Williams
- Health Service and Population Research Department, Centre for Implementation Science, King's College London, London, UK
| | - David Taylor
- South London and Maudsley NHS Foundation Trust, London, UK
| | - James MacCabe
- South London and Maudsley NHS Foundation Trust, London, UK
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- NIHR Biomedical Research Centre for Mental Health South London and Maudsley NHS, London, UK
| | - Philip McGuire
- Department of Psychiatry, University of Oxford, Warneford, UK
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8
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Griffiths SL, Bogatsu T, Longhi M, Butler E, Alexander B, Bandawar M, Everard L, Jones PB, Fowler D, Hodgekins J, Amos T, Freemantle N, McCrone P, Singh SP, Birchwood M, Upthegrove R. Five-year illness trajectories across racial groups in the UK following a first episode psychosis. Soc Psychiatry Psychiatr Epidemiol 2023; 58:569-579. [PMID: 36717434 PMCID: PMC10066114 DOI: 10.1007/s00127-023-02428-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 01/12/2023] [Indexed: 02/01/2023]
Abstract
PURPOSE Psychosis disproportionally affects ethnic minority groups in high-income countries, yet evidence of disparities in outcomes following intensive early intervention service (EIS) for First Episode Psychosis (FEP) is less conclusive. We investigated 5-year clinical and social outcomes of young people with FEP from different racial groups following EIS care. METHOD Data were analysed from the UK-wide NIHR SUPEREDEN study. The sample at baseline (n = 978) included White (n = 750), Black (n = 71), and Asian (n = 157) individuals, assessed during the 3 years of EIS, and up to 2 years post-discharge (n = 296; Black [n = 23]; Asian [n = 52] and White [n = 221]). Outcome trajectories were modelled for psychosis symptoms (positive, negative, and general), functioning, and depression, using linear mixed effect models (with random intercept and slopes), whilst controlling for social deprivation. Discharge service was also explored across racial groups, 2 years following EIS. RESULTS Variation in linear growth over time was accounted for by racial group status for psychosis symptoms-positive (95% CI [0.679, 1.235]), negative (95% CI [0.315, 0.783]), and general (95% CI [1.961, 3.428])-as well as for functioning (95% CI [11.212, 17.677]) and depressive symptoms (95% CI [0.261, 0.648]). Social deprivation contributed to this variance. Black individuals experienced greater levels of deprivation (p < 0.001, 95% CI [0.187, 0.624]). Finally, there was a greater likelihood for Asian (OR = 3.04; 95% CI [2.050, 4.498]) and Black individuals (OR = 2.47; 95% CI [1.354, 4.520]) to remain in secondary care by follow-up. CONCLUSION Findings suggest variations in long-term clinical and social outcomes following EIS across racial groups; social deprivation contributed to this variance. Black and Asian individuals appear to make less improvement in long-term recovery and are less likely to be discharged from mental health services. Replication is needed in large, complete data, to fully understand disparities and blind spots to care.
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Affiliation(s)
- Siân Lowri Griffiths
- Institute for Mental Health, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
| | - Tumelo Bogatsu
- Institute for Mental Health, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Mia Longhi
- Institute for Mental Health, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Emily Butler
- Institute for Mental Health, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Beel Alexander
- Institute for Mental Health, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Mrunal Bandawar
- Institute for Mental Health, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Linda Everard
- Birmingham and Solihull Mental Health Foundation Trust, Birmingham, UK
| | - Peter B Jones
- Department of Psychiatry, University of Cambridge and CAMEO, Cambridge and Peterborough NHS Foundation Trust, Fulbourn, UK
| | - David Fowler
- Department of Psychology, University of Sussex, Brighton, UK
| | | | - Tim Amos
- Academic Unit of Psychiatry, University of Bristol, Bristol, UK
| | - Nick Freemantle
- Institute of Clinical Trials and Methodology, University College London, London, UK
| | - Paul McCrone
- Institute for Life Course Development, University of Greenwich, London, UK
| | - Swaran P Singh
- Mental Health and Wellbeing Warwick Medical School, University of Warwick, Coventry, UK
| | - Max Birchwood
- Mental Health and Wellbeing Warwick Medical School, University of Warwick, Coventry, UK
| | - Rachel Upthegrove
- Institute for Mental Health, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
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9
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Smart SE, Agbedjro D, Pardiñas AF, Ajnakina O, Alameda L, Andreassen OA, Barnes TRE, Berardi D, Camporesi S, Cleusix M, Conus P, Crespo-Facorro B, D'Andrea G, Demjaha A, Di Forti M, Do K, Doody G, Eap CB, Ferchiou A, Guidi L, Homman L, Jenni R, Joyce E, Kassoumeri L, Lastrina O, Melle I, Morgan C, O'Neill FA, Pignon B, Restellini R, Richard JR, Simonsen C, Španiel F, Szöke A, Tarricone I, Tortelli A, Üçok A, Vázquez-Bourgon J, Murray RM, Walters JTR, Stahl D, MacCabe JH. Clinical predictors of antipsychotic treatment resistance: Development and internal validation of a prognostic prediction model by the STRATA-G consortium. Schizophr Res 2022; 250:1-9. [PMID: 36242784 PMCID: PMC9834064 DOI: 10.1016/j.schres.2022.09.009] [Citation(s) in RCA: 6] [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: 01/27/2022] [Revised: 08/03/2022] [Accepted: 09/04/2022] [Indexed: 11/06/2022]
Abstract
INTRODUCTION Our aim was to, firstly, identify characteristics at first-episode of psychosis that are associated with later antipsychotic treatment resistance (TR) and, secondly, to develop a parsimonious prediction model for TR. METHODS We combined data from ten prospective, first-episode psychosis cohorts from across Europe and categorised patients as TR or non-treatment resistant (NTR) after a mean follow up of 4.18 years (s.d. = 3.20) for secondary data analysis. We identified a list of potential predictors from clinical and demographic data recorded at first-episode. These potential predictors were entered in two models: a multivariable logistic regression to identify which were independently associated with TR and a penalised logistic regression, which performed variable selection, to produce a parsimonious prediction model. This model was internally validated using a 5-fold, 50-repeat cross-validation optimism-correction. RESULTS Our sample consisted of N = 2216 participants of which 385 (17 %) developed TR. Younger age of psychosis onset and fewer years in education were independently associated with increased odds of developing TR. The prediction model selected 7 out of 17 variables that, when combined, could quantify the risk of being TR better than chance. These included age of onset, years in education, gender, BMI, relationship status, alcohol use, and positive symptoms. The optimism-corrected area under the curve was 0.59 (accuracy = 64 %, sensitivity = 48 %, and specificity = 76 %). IMPLICATIONS Our findings show that treatment resistance can be predicted, at first-episode of psychosis. Pending a model update and external validation, we demonstrate the potential value of prediction models for TR.
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Affiliation(s)
- Sophie E Smart
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK; Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
| | - Deborah Agbedjro
- Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Antonio F Pardiñas
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Olesya Ajnakina
- Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Luis Alameda
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Centro de Investigacion en Red Salud Mental (CIBERSAM), Sevilla, Spain; Department of Psychiatry, Hospital Universitario Virgen del Rocio, IBiS, Universidad de Sevilla, Spain; TIPP (Treatment and Early Intervention in Psychosis Program), Service of General Psychiatry, Department of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | | | - Domenico Berardi
- Department of Biomedical and Neuro-motor Sciences, Psychiatry Unit, Alma Mater Studiorum Università di Bologna, Bologna, Italy
| | - Sara Camporesi
- TIPP (Treatment and Early Intervention in Psychosis Program), Service of General Psychiatry, Department of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland; Unit for Research in Schizophrenia, Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Martine Cleusix
- Unit for Research in Schizophrenia, Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Philippe Conus
- TIPP (Treatment and Early Intervention in Psychosis Program), Service of General Psychiatry, Department of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Benedicto Crespo-Facorro
- Centro de Investigacion en Red Salud Mental (CIBERSAM), Sevilla, Spain; Department of Psychiatry, Hospital Universitario Virgen del Rocio, IBiS, Universidad de Sevilla, Spain
| | - Giuseppe D'Andrea
- Department of Biomedical and Neuro-motor Sciences, Psychiatry Unit, Alma Mater Studiorum Università di Bologna, Bologna, Italy
| | - Arsime Demjaha
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Marta Di Forti
- Social Genetics and Developmental Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; South London and Maudsley NHS Foundation Trust, London, UK
| | - Kim Do
- Unit for Research in Schizophrenia, Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Gillian Doody
- Department of Medical Education, University of Nottingham Faculty of Medicine and Health Sciences, Nottingham, UK
| | - Chin B Eap
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, 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, Switzerland; Institute of Pharmaceutical Sciences of Western, Switzerland, University of Geneva, University of Lausanne
| | - Aziz Ferchiou
- Univ Paris Est Creteil, INSERM, IMRB, Translational Neuropsychiatry, Fondation FondaMental, Creteil, France; AP-HP, Hôpitaux Universitaires H. Mondor, DMU IMPACT, FHU ADAPT, Creteil, France
| | - Lorenzo Guidi
- Department of Medical and Surgical Sciences, Bologna Transcultural Psychosomatic Team (BoTPT), Alma Mater Studiorum - University of Bologna, Bologna, Italy
| | - Lina Homman
- Disability Research Division (FuSa), Department of Behavioural Sciences and Learning, Linköping University, Linköping, Sweden
| | - Raoul Jenni
- Unit for Research in Schizophrenia, Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Eileen Joyce
- Department of Clinical and Movement Neuroscience, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Laura Kassoumeri
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Ornella Lastrina
- Department of Medical and Surgical Sciences, Bologna Transcultural Psychosomatic Team (BoTPT), Alma Mater Studiorum - University of Bologna, Bologna, Italy
| | - Ingrid Melle
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Craig Morgan
- Health Service and Population Research, King's College London, London, UK; Centre for Society and Mental Health, King's College London, London, UK
| | - Francis A O'Neill
- Centre for Public Health, Institute of Clinical Sciences, Queens University Belfast, Belfast, UK
| | - Baptiste Pignon
- Univ Paris Est Creteil, INSERM, IMRB, Translational Neuropsychiatry, Fondation FondaMental, Creteil, France; AP-HP, Hôpitaux Universitaires H. Mondor, DMU IMPACT, FHU ADAPT, Creteil, France
| | - Romeo Restellini
- TIPP (Treatment and Early Intervention in Psychosis Program), Service of General Psychiatry, Department of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland; Unit for Research in Schizophrenia, Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Jean-Romain Richard
- Univ Paris Est Creteil, INSERM, IMRB, Translational Neuropsychiatry, Fondation FondaMental, Creteil, France
| | - Carmen Simonsen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Early Intervention in Psychosis Advisory Unit for South East Norway (TIPS Sør-Øst), Division of Mental Health and Addiction, Oslo University Hospital, Norway
| | - Filip Španiel
- Department of Applied Neuroscience and Neuroimaging, National Institute of Mental Health, Klecany, Czechia; Department of Psychiatry and Medical Psychology, Third Faculty of Medicine, Charles University, Prague, Czechia
| | - Andrei Szöke
- Univ Paris Est Creteil, INSERM, IMRB, Translational Neuropsychiatry, Fondation FondaMental, Creteil, France; AP-HP, Hôpitaux Universitaires H. Mondor, DMU IMPACT, FHU ADAPT, Creteil, France
| | - Ilaria Tarricone
- Department of Medical and Surgical Sciences, Bologna Transcultural Psychosomatic Team (BoTPT), Alma Mater Studiorum - University of Bologna, Bologna, Italy
| | - Andrea Tortelli
- Univ Paris Est Creteil, INSERM, IMRB, Translational Neuropsychiatry, Fondation FondaMental, Creteil, France; Groupe Hospitalier Universitaire Psychiatrie Neurosciences Paris, Pôle Psychiatrie Précarité, Paris, France
| | - Alp Üçok
- Istanbul University, Istanbul Faculty of Medicine, Department of Psychiatry, Istanbul, Turkey
| | - Javier Vázquez-Bourgon
- Centro de Investigacion en Red Salud Mental (CIBERSAM), Sevilla, Spain; Department of Psychiatry, University Hospital Marques de Valdecilla - Instituto de Investigación Marques de Valdecilla (IDIVAL), Santander, Spain; Department of Medicine and Psychiatry, School of Medicine, University of Cantabria, Santander, Spain
| | - Robin M Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - James T R Walters
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Daniel Stahl
- Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - James H MacCabe
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; South London and Maudsley NHS Foundation Trust, London, UK
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10
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Griffiths SL, Lalousis PA, Wood SJ, Upthegrove R. Heterogeneity in treatment outcomes and incomplete recovery in first episode psychosis: does one size fit all? Transl Psychiatry 2022; 12:485. [PMID: 36396628 PMCID: PMC9671914 DOI: 10.1038/s41398-022-02256-7] [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: 06/25/2022] [Revised: 11/07/2022] [Accepted: 11/09/2022] [Indexed: 11/18/2022] Open
Abstract
The heterogeneity in recovery outcomes for individuals with First Episode Psychosis (FEP) calls for a strong evidence base to inform practice at an individual level. Between 19-89% of young people with FEP have an incomplete recovery despite gold-standard evidence-based treatments, suggesting current service models, which adopt a 'one-size fits all' approach, may not be addressing the needs of many young people with psychosis. The lack of consistent terminology to define key concepts such as recovery and treatment resistance, the multidimensional nature of these concepts, and common comorbid symptoms are some of the challenges faced by the field in delineating heterogeneity in recovery outcomes. The lack of robust markers for incomplete recovery also results in potential delay in delivering prompt, and effective treatments to individuals at greatest risk. There is a clear need to adopt a stratified approach to care where interventions are targeted at subgroups of patients, and ultimately at the individual level. Novel machine learning, using large, representative data from a range of modalities, may aid in the parsing of heterogeneity, and provide greater precision and sophistication in identifying those on a pathway to incomplete recovery.
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Affiliation(s)
- Siân Lowri Griffiths
- Institute for Mental Health, University of Birmingham, Birmingham, UK. .,Centre for Human Brain Health, University of Birmingham, Birmingham, UK.
| | - Paris Alexandros Lalousis
- grid.6572.60000 0004 1936 7486Institute for Mental Health, University of Birmingham, Birmingham, UK ,grid.6572.60000 0004 1936 7486Centre for Human Brain Health, University of Birmingham, Birmingham, UK
| | - Stephen J. Wood
- grid.6572.60000 0004 1936 7486Institute for Mental Health, University of Birmingham, Birmingham, UK ,grid.488501.00000 0004 8032 6923Orygen, the National Centre of Excellence in Youth Mental Health, Melbourne, VIC Australia ,grid.1008.90000 0001 2179 088XCentre for Youth Mental Health, The University of Melbourne, Parkville, VIC Australia
| | - Rachel Upthegrove
- grid.6572.60000 0004 1936 7486Institute for Mental Health, University of Birmingham, Birmingham, UK ,grid.6572.60000 0004 1936 7486Centre for Human Brain Health, University of Birmingham, Birmingham, UK ,grid.498025.20000 0004 0376 6175Birmingham Early Interventions Service, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham, UK
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11
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Barnes TRE, MacCabe JH, Kane JM, Delgado O, Khan M, Paton C. Prescribing clozapine in the UK: Quality improvement issues identified by clinical audit. J Psychopharmacol 2022; 36:1036-1040. [PMID: 35695172 PMCID: PMC9516610 DOI: 10.1177/02698811221104060] [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] [Indexed: 11/21/2022]
Abstract
INTRODUCTION The Prescribing Observatory for Mental Health initiated a quality improvement (QI) programme on clozapine use in UK mental health services. METHODS Clinical audits conducted in 2019 and 2021. RESULTS Sixty-three participating NHS Trusts/healthcare organisations in 2019, and 61 in 2021, submitted treatment data for 6948 and 8155 patients, respectively. In both audits, high-dose and/or combined antipsychotic medications had been prescribed immediately before initiating clozapine in over a quarter of patients recently started on clozapine. In patients who were tobacco smokers and recently discharged from a smoke-free ward, the impact of the potential change in smoking status had been considered in the care plans of just under one-third in 2019 and just over a half in 2021. For community patients, their Summary Care Records (SCRs) included their clozapine prescriptions in 58% of cases in 2019 and 72% in 2021. CONCLUSIONS Three QI issues were identified. (1) Antipsychotic regimens with limited evidence for efficacy in treatment-resistant schizophrenia were prescribed for over a quarter of cases before starting clozapine. Use of such strategies may delay clozapine treatment, potentially reducing the likelihood of a therapeutic response. (2) While anticipation of the consequences of a change in smoking status on plasma clozapine concentration following discharge from hospital showed improvement over time, even in 2021 it was not evident for nearly a half of relevant cases. (3) While inclusion of clozapine in the SCR also improved over time, even in 2021 it was missing for more than a quarter of community patients.
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Affiliation(s)
- Thomas RE Barnes
- Division of Psychiatry, Imperial
College London, London, UK,Prescribing Observatory for Mental
Health, Centre for Quality Improvement, Royal College of Psychiatrists, London,
UK,Thomas RE Barnes, Division of Psychiatry,
Imperial College London, Du Cane Road, London W12 0NN, UK.
| | - James H MacCabe
- Institute of Psychiatry, Psychology and
Neuroscience, King’s College London, London, UK,NIHR Maudsley Biomedical Research
Centre, London, UK,Maudsley NHS Foundation Trust, London,
UK
| | - John M Kane
- Donald and Barbara Zucker School of
Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Oriana Delgado
- Prescribing Observatory for Mental
Health, Centre for Quality Improvement, Royal College of Psychiatrists, London,
UK
| | - Mareeha Khan
- Prescribing Observatory for Mental
Health, Centre for Quality Improvement, Royal College of Psychiatrists, London,
UK
| | - Carol Paton
- Division of Psychiatry, Imperial
College London, London, UK,Prescribing Observatory for Mental
Health, Centre for Quality Improvement, Royal College of Psychiatrists, London,
UK
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12
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Ventura AMB, Hayes RD, Fonseca de Freitas D. Ethnic disparities in clozapine prescription for service-users with schizophrenia-spectrum disorders: a systematic review. Psychol Med 2022; 52:2212-2223. [PMID: 35787301 PMCID: PMC9527670 DOI: 10.1017/s0033291722001878] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 02/28/2022] [Accepted: 06/01/2022] [Indexed: 11/05/2022]
Abstract
Clozapine is the only licenced medication for treating treatment-resistant schizophrenia. Previous studies have suggested unequal rates of clozapine treatment by ethnicity among individuals with schizophrenia-spectrum disorders. One previous review has investigated this topic but was restricted to studies from the USA. This current review aims to synthesise the international literature regarding ethnic disparities in clozapine prescription amongst individuals with schizophrenia-spectrum disorders. We searched CINAHL, PubMed, Medline, Embase, APA PsycINFO and Open Grey and reviewed studies reporting on the proportion of service-users prescribed clozapine separately for different ethnic groups, in individuals with a primary diagnosis of schizophrenia or any schizophrenia-spectrum disorders. A narrative synthesis was conducted to integrate information from included studies. The review was registered in PROSPERO (Number: CRD42020221731). From 24 studies, there is strong, consistent evidence that Black and Hispanic service-users in the UK and the USA are significantly less likely to receive clozapine than White/Caucasian service-users after controlling for multiple demographic and clinical potential confounders. In New Zealand, Māori service-users were reported to be more likely to receive clozapine than those of White/European ethnicity. There is mixed evidence regarding Asian service-users in the UK. The mentioned disparities were observed in studies with TRS and non-TRS cohorts. The results imply that access to clozapine treatment varies among ethnic groups. These findings raise an ethical concern as they suggest a compromise of the standards of care in schizophrenia treatment practices. Interventions are needed to reduce clozapine prescribing disparities among ethnic communities.
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Affiliation(s)
- Anita Margarette Bayya Ventura
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Richard D. Hayes
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Daniela Fonseca de Freitas
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Psychiatry, University of Oxford, Oxford, UK
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13
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Correll CU, Agid O, Crespo-Facorro B, de Bartolomeis A, Fagiolini A, Seppälä N, Howes OD. A Guideline and Checklist for Initiating and Managing Clozapine Treatment in Patients with Treatment-Resistant Schizophrenia. CNS Drugs 2022; 36:659-679. [PMID: 35759211 PMCID: PMC9243911 DOI: 10.1007/s40263-022-00932-2] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/26/2022] [Indexed: 12/14/2022]
Abstract
Treatment-resistant schizophrenia (TRS) will affect about one in three patients with schizophrenia. Clozapine is the only treatment approved for TRS, and patients should be treated as soon as possible to improve their chances of achieving remission. Despite its effectiveness, concern over side effects, monitoring requirements, and inexperience with prescribing often result in long delays that can expose patients to unnecessary risks and compromise their chances of achieving favorable long-term outcomes. We critically reviewed the literature on clozapine use in TRS, focusing on guidelines, systematic reviews, and algorithms to identify strategies for improving clozapine safety and tolerability. Based on this, we have provided an overview of strategies to support early initiation of clozapine in patients with TRS based on the latest evidence and our clinical experience, and have summarized the key elements in a practical, evidence-based checklist for identifying and managing patients with TRS, with the aim of increasing confidence in prescribing and monitoring clozapine therapy.
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Affiliation(s)
- C U Correll
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin Berlin, Berlin, Germany.,Department of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.,Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
| | - Ofer Agid
- Department of Psychiatry, University of Toronto, Toronto, Canada
| | | | - Andrea de Bartolomeis
- Section on Clinical Psychiatry and Psychology, Laboratory of Molecular and Translational Psychiatry and Unit of Treatment Resistant Psychosis, University of Naples Federico II, Naples, Italy
| | - Andrea Fagiolini
- Department of Molecular Medicine, University of Siena, Siena, Italy
| | - Niko Seppälä
- Department of Psychiatry Satasairaala, Harjavalta, Finland
| | - Oliver D Howes
- Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK.
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14
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Ochi S, Tagata H, Hasegawa N, Yasui-Furukori N, Iga JI, Kashiwagi H, Kodaka F, Komatsu H, Tsuboi T, Tokutani A, Numata S, Ichihashi K, Onitsuka T, Muraoka H, Iida H, Ohi K, Atake K, Kishimoto T, Hori H, Takaesu Y, Takeshima M, Usami M, Makinodan M, Hashimoto N, Fujimoto M, Furihata R, Nagasawa T, Yamada H, Matsumoto J, Miura K, Kido M, Hishimoto A, Ueno SI, Watanabe K, Inada K, Hashimoto R. Clozapine Treatment Is Associated With Higher Prescription Rate of Antipsychotic Monotherapy and Lower Prescription Rate of Other Concomitant Psychotropics: A Real-World Nationwide Study. Int J Neuropsychopharmacol 2022; 25:818-826. [PMID: 35723038 PMCID: PMC9593218 DOI: 10.1093/ijnp/pyac036] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 05/18/2022] [Accepted: 06/15/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Although clozapine is effective for treatment-resistant schizophrenia (TRS), the rate of clozapine prescription is still low. Whereas antipsychotic monotherapy is recommended in clinical practice guidelines, the rate of antipsychotic polypharmacy is still high. There is little evidence on whether a clozapine prescription influences changes in the rate of monotherapy and polypharmacy, including antipsychotics and other psychotropics. We therefore hypothesized that the rate of antipsychotic monotherapy in patients with TRS who were prescribed clozapine would be higher than that in patients with schizophrenia who were not prescribed clozapine. METHODS We assessed 8306 patients with schizophrenia nationwide from 178 institutions in Japan from 2016 to 2019. We analyzed the psychotropic prescription data at discharge in patients diagnosed with TRS and with no description of TRS (ND-TRS) based on the diagnosis listed in the discharge summary. RESULTS The rate of antipsychotic monotherapy in the TRS with clozapine group (91.3%) was significantly higher than that in the TRS without clozapine group (45.9%; P < 2.0 × 10-16) and the ND-TRS without clozapine group (54.7%; P < 2.0 × 10-16). The rate of antipsychotic monotherapy without any other concomitant psychotropics in the TRS with clozapine group (26.5%) was significantly higher than that in the TRS without clozapine group (12.6%; P = 1.1 × 10-6) and the ND-TRS without clozapine group (17.0%; P = 5.9 × 10-6). CONCLUSIONS Clozapine prescription could be associated with a high rate of antipsychotic monotherapy. Patients will benefit from the correct diagnosis of TRS and thus from proper clozapine prescription.
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Affiliation(s)
- Shinichiro Ochi
- Department of Neuropsychiatry, Molecules and Function, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Hiromi Tagata
- Department of Neuropsychiatry, Toho University School of Medicine, Tokyo, Japan
| | - Naomi Hasegawa
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Norio Yasui-Furukori
- Correspondence: Norio Yasui-Furukori, MD, PhD, Department of Psychiatry, Dokkyo Medical University School of Medicine, 880 Kitakobayashi, Shimotsuga, Mibu, Tochigi, 321-0293, Japan ()
| | - Jun-ichi Iga
- Department of Neuropsychiatry, Molecules and Function, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Hiroko Kashiwagi
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan,Department of Forensic Psychiatry, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Fumitoshi Kodaka
- Department of Psychiatry, The Jikei University School of Medicine, Tokyo, Japsan
| | - Hiroshi Komatsu
- Department of Psychiatry, Tohoku University Hospital, Miyagi, Japan
| | - Takashi Tsuboi
- Department of Neuropsychiatry, Kyorin University School of Medicine, Tokyo, Japan
| | - Akira Tokutani
- Department of Pharmacy, The Hospital of Hyogo College of Medicine, Hyogo, Japan
| | - Shusuke Numata
- Department of Psychiatry, Graduate School of Biomedical Science, Tokushima University, Tokushima, Japan
| | - Kayo Ichihashi
- Department of Neuropsychiatry, University of Tokyo Hospital, Tokyo, Japan
| | - Toshiaki Onitsuka
- Department of Neuroimaging Psychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hiroyuki Muraoka
- Department of Psychiatry, Tokyo Women’s Medical University, Tokyo, Japan
| | - Hitoshi Iida
- Department of Psychiatry, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Kazutaka Ohi
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Kiyokazu Atake
- Nippon Telegraph and Telephone West Corporation Kyushu Health Administration Center, Fukuoka, Japan
| | - Taishiro Kishimoto
- Hills Joint Research Laboratory for Future Preventive Medicine and Wellness, Keio University School of Medicine, Tokyo, Japan
| | - Hikaru Hori
- Department of Psychiatry, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Yoshikazu Takaesu
- Department of Neuropsychiatry, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Masahiro Takeshima
- Department of Neuropsychiatry, Akita University Graduate School of Medicine, Akita, Japan
| | - Masahide Usami
- Department of Child and Adolescent Psychiatry, Kohnodai Hospital, National Center for Global Health and Medicine, Chiba, Japan
| | - Manabu Makinodan
- Department of Psychiatry, Nara Medical University School of Medicine, Nara, Japan
| | - Naoki Hashimoto
- Department of Psychiatry, Hokkaido University Graduate School of Medicine, Hokkaido, Japan
| | - Michiko Fujimoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan,Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | | | - Tatsuya Nagasawa
- Department of NeuroPsychiatry Kanazawa Medical University, Ishikawa, Japan
| | - Hisashi Yamada
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan,Department of Neuropsychiatry, Hyogo College of Medicine, Hyogo, Japan
| | - Junya Matsumoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Kenichiro Miura
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Mikio Kido
- Toyama City Hospital, Toyama, Japan,Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Akitoyo Hishimoto
- Department of Psychiatry, Yokohama City University Graduate School of Medicine, Kanagawa, Japan
| | - Shu-ichi Ueno
- Department of Neuropsychiatry, Molecules and Function, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Koichiro Watanabe
- Department of Neuropsychiatry, Kyorin University School of Medicine, Tokyo, Japan
| | - Ken Inada
- Department of Psychiatry, Kitasato University, School of Medicine, Kanagawa, Japan
| | - Ryota Hashimoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
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15
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Scott JG, McKeon G, Malacova E, Curtis J, Burgher B, Macmillan I, Thompson A, Parker SD. Quality prescribing in early psychosis: key pharmacotherapy principles. Australas Psychiatry 2022; 30:341-345. [PMID: 34748711 DOI: 10.1177/10398562211054656] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVE To present a practical, easy-to-implement clinical framework designed to support evidence-based quality prescribing for people with early psychosis. METHOD Identification and explanation of key principles relating to evidence-based pharmacotherapy for people with early psychosis. These were derived from the literature, practice guidelines and clinical experience. RESULTS Key principles include (1) medication choice informed by adverse effects; (2) metabolic monitoring at baseline and at regular intervals; (3) comprehensive and regular medication risk-benefit assessment and psychoeducation; (4) early consideration of long-acting injectable formulations (preferably driven by informed patient choice); (5) identification and treatment of comorbid mood disorders and (6) early consideration of clozapine when treatment refractory criteria are met. CONCLUSIONS Current prescribing practices do not align with the well-established evidence for quality pharmacotherapy in early psychosis. Adopting evidence-based prescribing practices for people with early psychosis will improve outcomes.
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Affiliation(s)
- James G Scott
- QIMR Berghofer Medical Research Institute, Herston, QLD, Australia.,Metro North Mental Health Service, Herston, QLD, Australia.,Queensland Centre for Mental Health Research, The Park Centre for Mental Health, Wacol, QLD, Australia
| | - Gemma McKeon
- QIMR Berghofer Medical Research Institute, Herston, QLD, Australia.,Metro North Mental Health Service, Herston, QLD, Australia
| | - Eva Malacova
- QIMR Berghofer Medical Research Institute, Herston, QLD, Australia
| | - Jackie Curtis
- School of Psychiatry, University of New South Wales, Randwick, NSW, Australia.,The Bondi Centre, South Eastern Sydney Local Health District, Sydney, NSW, Australia
| | - Bjorn Burgher
- QIMR Berghofer Medical Research Institute, Herston, QLD, Australia.,Metro North Mental Health Service, Herston, QLD, Australia
| | - Iain Macmillan
- Alfred Hospital, Melbourne, VIC, Australia.,Headspace Early Psychosis, Frankston, VIC, Australia.,Monash University, Melbourne, VIC, Australia
| | - Andrew Thompson
- Orygen, Youth Early Psychosis, Melbourne, VIC, Australia.,Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
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16
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Jafry R, Kelbrick M. COVID
‐19 and clozapine use in an early intervention for psychosis service. PROGRESS IN NEUROLOGY AND PSYCHIATRY 2022. [DOI: 10.1002/pnp.737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Rizwana Jafry
- Dr Jafry is an ST6, General Adult Psychiatry and Dr Kelbrick is a Consultant Psychiatrist, both at Northamptonshire Healthcare NHS Foundation Trust, UK
| | - Marlene Kelbrick
- Dr Jafry is an ST6, General Adult Psychiatry and Dr Kelbrick is a Consultant Psychiatrist, both at Northamptonshire Healthcare NHS Foundation Trust, UK
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17
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Mechanistic/mammalian target of rapamycin and side effects of antipsychotics: insights into mechanisms and implications for therapy. Transl Psychiatry 2022; 12:13. [PMID: 35013125 PMCID: PMC8748807 DOI: 10.1038/s41398-021-01778-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 12/08/2021] [Accepted: 12/20/2021] [Indexed: 12/13/2022] Open
Abstract
Antipsychotic pharmacotherapy has been widely recommended as the standard of care for the treatment of acute schizophrenia and psychotic symptoms of other psychiatric disorders. However, there are growing concerns regarding antipsychotic-induced side effects, including weight gain, metabolic syndrome (MetS), and extrapyramidal motor disorders, which not only decrease patient compliance, but also predispose to diabetes and cardiovascular diseases. To date, most studies and reviews on the mechanisms of antipsychotic-induced metabolic side effects have focused on central nervous system mediation of appetite and food intake. However, disturbance in glucose and lipid metabolism, and hepatic steatosis induced by antipsychotic drugs might precede weight gain and MetS. Recent studies have demonstrated that the mechanistic/mammalian target of rapamycin (mTOR) pathway plays a critical regulatory role in the pathophysiology of antipsychotic drug-induced disorders of hepatic glucose and lipid metabolism. Furthermore, antipsychotic drugs promote striatal mTOR pathway activation that contributes to extrapyramidal motor side effects. Although recent findings have advanced the understanding of the role of the mTOR pathway in antipsychotic-induced side effects, few reviews have been conducted on this emerging topic. In this review, we synthesize key findings by focusing on the roles of the hepatic and striatal mTOR pathways in the pathogenesis of metabolic and extrapyramidal side effects, respectively. We further discuss the potential therapeutic benefits of normalizing excessive mTOR pathway activation with mTOR specific inhibitors. A deeper understanding of pathogenesis may inform future intervention strategies using the pharmacological or genetic inhibitors of mTOR to prevent and manage antipsychotic-induced side effects.
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18
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Kadra-Scalzo G, Fonseca de Freitas D, Agbedjro D, Francis E, Ridler I, Pritchard M, Shetty H, Segev A, Casetta C, Smart SE, Morris A, Downs J, Christensen SR, Bak N, Kinon BJ, Stahl D, Hayes RD, MacCabe JH. A predictor model of treatment resistance in schizophrenia using data from electronic health records. PLoS One 2022; 17:e0274864. [PMID: 36121864 PMCID: PMC9484642 DOI: 10.1371/journal.pone.0274864] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 09/07/2022] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVES To develop a prognostic tool of treatment resistant schizophrenia (TRS) in a large and diverse clinical cohort, with comprehensive coverage of patients using mental health services in four London boroughs. METHODS We used the Least Absolute Shrinkage and Selection Operator (LASSO) for time-to-event data, to develop a risk prediction model from the first antipsychotic prescription to the development of TRS, using data from electronic health records. RESULTS We reviewed the clinical records of 1,515 patients with a schizophrenia spectrum disorder and observed that 253 (17%) developed TRS. The Cox LASSO survival model produced an internally validated Harrel's C index of 0.60. A Kaplan-Meier curve indicated that the hazard of developing TRS remained constant over the observation period. Predictors of TRS were: having more inpatient days in the three months before and after the first antipsychotic, more community face-to-face clinical contact in the three months before the first antipsychotic, minor cognitive problems, and younger age at the time of the first antipsychotic. CONCLUSIONS Routinely collected information, readily available at the start of treatment, gives some indication of TRS but is unlikely to be adequate alone. These results provide further evidence that earlier onset is a risk factor for TRS.
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Affiliation(s)
- Giouliana Kadra-Scalzo
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- * E-mail:
| | - Daniela Fonseca de Freitas
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Deborah Agbedjro
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Emma Francis
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Isobel Ridler
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Megan Pritchard
- South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Hitesh Shetty
- South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Aviv Segev
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- Shalvata Mental Health Center, Hod Hasharon, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Cecilia Casetta
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Sophie E. Smart
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
| | - Anna Morris
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Johnny Downs
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | | | | | - Bruce J. Kinon
- Lundbeck Pharmaceuticals LLC, Deerfield, IL, United States of America
| | - Daniel Stahl
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Richard D. Hayes
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - James H. MacCabe
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- South London and Maudsley NHS Foundation Trust, London, United Kingdom
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19
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Millgate E, Hide O, Lawrie SM, Murray RM, MacCabe JH, Kravariti E. Neuropsychological differences between treatment-resistant and treatment-responsive schizophrenia: a meta-analysis. Psychol Med 2022; 52:1-13. [PMID: 36415088 PMCID: PMC8711103 DOI: 10.1017/s0033291721004128] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 09/12/2021] [Accepted: 09/20/2021] [Indexed: 12/14/2022]
Abstract
Antipsychotic treatment resistance affects up to a third of individuals with schizophrenia. Of those affected, 70-84% are reported to be treatment resistant from the outset. This raises the possibility that the neurobiological mechanisms of treatment resistance emerge before the onset of psychosis and have a neurodevelopmental origin. Neuropsychological investigations can offer important insights into the nature, origin and pathophysiology of treatment-resistant schizophrenia (TRS), but methodological limitations in a still emergent field of research have obscured the neuropsychological discriminability of TRS. We report on the first systematic review and meta-analysis to investigate neuropsychological differences between TRS patients and treatment-responsive controls across 17 published studies (1864 participants). Five meta-analyses were performed in relation to (1) executive function, (2) general cognitive function, (3) attention, working memory and processing speed, (4) verbal memory and learning, and (5) visual-spatial memory and learning. Small-to-moderate effect sizes emerged for all domains. Similarly to previous comparisons between unselected, drug-naïve and first-episode schizophrenia samples v. healthy controls in the literature, the largest effect size was observed in verbal memory and learning [dl = -0.53; 95% confidence interval (CI) -0.29 to -0.76; z = 4.42; p < 0.001]. A sub-analysis of language-related functions, extracted from across the primary domains, yielded a comparable effect size (dl = -0.53, 95% CI -0.82 to -0.23; z = 3.45; p < 0.001). Manipulating our sampling strategy to include or exclude samples selected for clozapine response did not affect the pattern of findings. Our findings are discussed in relation to possible aetiological contributions to TRS.
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Affiliation(s)
- Edward Millgate
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Olga Hide
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | | | - Robin M Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - James H MacCabe
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Eugenia Kravariti
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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20
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Oloyede E, Mantell B, Williams J, Lai S, Jauhar S, Taylor D, MacCabe JH, Harland R, McGuire P, Blackman G. Clozapine for treatment resistance in early psychosis: a survey of UK clinicians' training, knowledge and confidence. Ther Adv Psychopharmacol 2022; 12:20451253221141222. [PMID: 36601352 PMCID: PMC9806412 DOI: 10.1177/20451253221141222] [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: 08/23/2022] [Accepted: 11/01/2022] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Clozapine is the only medication licenced for patients with psychosis that is resistant to conventional antipsychotic treatment. However, despite its effectiveness, it remains widely underutilised. One contributory factor for this may be clinicians' lack of confidence around the management of clozapine. OBJECTIVE We conducted a survey of clinicians working in Early Intervention in Psychosis (EIP) services to determine their training needs for clozapine management in EIP services. METHODS An electronic survey was made available to all clinicians working in EIP services in England. The survey assessed confidence and training needs regarding managing clozapine in patients with treatment-resistant psychosis. Quantitative data were analysed using total mean scores and the Mann-Whitney U test. RESULTS In all, 192 (27%) of approximately 700 clinicians from 35 EIP services completed the survey. Approximately half (54%) had not received training on treatment with clozapine. Experience of training was higher in prescribers than non-prescribers, and among medical than non-medical clinicians. Previous training was associated with significantly higher confidence in offering clozapine and managing treatment-resistant psychosis (p < 0.001). Confidence levels with managing treatment-resistant psychosis and clozapine were relatively high (mean = 4 out of 5, SD = 1). Respondents were most confident about monitoring mental health response to treatment (mean = 5, SD = 1). Participants were least confident about how to discontinue clozapine treatment safely (mean = 3, SD = 1). CONCLUSION Most clinicians working in EIP have not received training on the use of clozapine. This may account, in part, for the underutilisation of clozapine in EIP services. The provision of training in the identification of treatment-resistant psychosis and the use of clozapine will likely improve the detection and management of treatment resistance in the early phase of psychosis.
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Affiliation(s)
- Ebenezer Oloyede
- South London and Maudsley NHS Foundation Trust, London, UK.,Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, DeCriesney, London, UK
| | - Bethany Mantell
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Julie Williams
- Health Service and Population Research Department, Centre for Implementation Science, King's College London, London, UK
| | - Serena Lai
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Sameer Jauhar
- South London and Maudsley NHS Foundation Trust, London, UK.,Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - David Taylor
- South London and Maudsley NHS Foundation Trust, London, UK.,Institute of Pharmaceutical Science, King's College, London
| | - James H MacCabe
- South London and Maudsley NHS Foundation Trust, London, UK.,Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.,NIHR Biomedical Research Centre for Mental Health South London and Maudsley NHS, London, UK
| | - Robert Harland
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Philip McGuire
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, Oxfordshire, UK
| | - Graham Blackman
- South London and Maudsley NHS Foundation Trust, London, UK.,Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
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21
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Zhuo C, Xu Y, Wang H, Zhou C, Liu J, Yu X, Shao H, Tian H, Fang T, Li Q, Chen J, Xu S, Ma X, Yang W, Yao C, Li B, Yang A, Chen Y, Huang G, Lin C. Clozapine induces metformin-resistant prediabetes/diabetes that is associated with poor clinical efficacy in patients with early treatment-resistant schizophrenia. J Affect Disord 2021; 295:163-172. [PMID: 34464878 DOI: 10.1016/j.jad.2021.08.023] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 08/10/2021] [Accepted: 08/18/2021] [Indexed: 01/07/2023]
Abstract
BACKGROUND Two distinct subtypes of treatment-resistant schizophrenia (TRS) have been recently reported, including early-treatment resistance (E-TR) and late-treatment resistance (L-TR). This study was to assess clozapine-induced metformin-resistant prediabetes/diabetes and its correlation with clinical efficacy in schizophrenia E-TR subtype. METHODS This prospective cohort study enrolled 230 patients with schizophrenia E-TR subtype and they were treated with adequate doses of clozapine for 16 weeks, during which patients with prediabetes/diabetes were assigned to receive add-on metformin. The main outcomes and measures included incidence of clozapine-induced prediabetes/diabetes and metformin-resistant prediabetes/diabetes, and the efficacy of clozapine as assessed by the Positive and Negative Syndrome Scale (PANSS) score. RESULTS Clozapine-induced prediabetes/diabetes occurred in 76.52% of patients (170 prediabetes and 6 diabetes), of which the blood sugar of 43 (24.43%) patients was controlled with metformin. Despite add-on metformin, 47.06% (74/170) of prediabetes patients progressed to diabetes. In total, the incidence of clozapine-induced metformin-resistant prediabetes/diabetes was 75.57% (133/176). On completion of 16-week clozapine treatment, 16.52% (38/230) patients showed clinical improvement with PANSS scores of ≥50% declining. Furthermore, clozapine-induced prediabetes/diabetes was significantly correlated with the poor clinical efficacy of clozapine for schizophrenia E-TR subtype. CONCLUSIONS The incidence of clozapine-induced metformin-resistant prediabetes/diabetes was considerably high in the schizophrenia E-TR subtype. Clozapine-induced metformin-resistant prediabetes/diabetes represents an independent risk factor that adversely affects the clinical efficacy of clozapine for the schizophrenia E-TR subtype. This study provided new evidence for re-evaluating the use of clozapine for TRS, especially E-TR subtype, and the use of metformin for the glycemic control of clozapine-induced prediabetes/diabetes.
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Affiliation(s)
- Chuanjun Zhuo
- Key Laboratory of Multiple Organ Damages of Major Psychoses (MODMP_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key Laboratory of Psychiatry Neuroimaging-genetics and Co-morbidity (PNGC_Lab), Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China.
| | - Yong Xu
- Department of Psychiatry, First Clinical Medical College, First Hospital of Shanxi Medical University, Taiyuan 030000, China
| | - Haibo Wang
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, 100191, China
| | - Chunhua Zhou
- Department of Pharmacoloy, The First Hospital of Hebei Medical University, Shijiazhuang 05000, Hebei Province, China
| | - Jian Liu
- Clinical Laboratory, Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Xiaocui Yu
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Clinical Laboratory, Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Hailin Shao
- Key Laboratory of Multiple Organ Damages of Major Psychoses (MODMP_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China
| | - Hongjun Tian
- Key Laboratory of Multiple Organ Damages of Major Psychoses (MODMP_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China
| | - Tao Fang
- Key Laboratory of Multiple Organ Damages of Major Psychoses (MODMP_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China
| | - Qianchen Li
- Department of Pharmacoloy, The First Hospital of Hebei Medical University, Shijiazhuang 05000, Hebei Province, China
| | - Jiayue Chen
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key Laboratory of Psychiatry Neuroimaging-genetics and Co-morbidity (PNGC_Lab), Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Shuli Xu
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key Laboratory of Psychiatry Neuroimaging-genetics and Co-morbidity (PNGC_Lab), Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Xiaoyan Ma
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key Laboratory of Psychiatry Neuroimaging-genetics and Co-morbidity (PNGC_Lab), Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Weiliang Yang
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key Laboratory of Psychiatry Neuroimaging-genetics and Co-morbidity (PNGC_Lab), Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Cong Yao
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key Laboratory of Psychiatry Neuroimaging-genetics and Co-morbidity (PNGC_Lab), Tianjin Medical University Clinical Hospital of Mental Health, Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin 300222, China
| | - Bo Li
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Department of Psychiatry, Tianjin Kangtai Mental Health Hospital, Tianjin 300014, China
| | - Anqu Yang
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Department of Psychiatry, Tianjin Kangtai Mental Health Hospital, Tianjin 300014, China
| | - Yuhui Chen
- National Center of Endocrine and Metabolic Disease Comprehensive Management (MMC), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Key laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin fourth center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin 300140, China; Department of Psychiatry, Tianjin Kangtai Mental Health Hospital, Tianjin 300014, China
| | - Guoyong Huang
- Department of Psychiatry, Wenzhou Seventh Peoples Hospital, 325000
| | - Chongguang Lin
- Department of Psychiatry, Wenzhou Seventh Peoples Hospital, 325000
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22
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Griffiths SL, Birchwood M. A Synthetic Literature Review on the Management of Emerging Treatment Resistance in First Episode Psychosis: Can We Move towards Precision Intervention and Individualised Care? ACTA ACUST UNITED AC 2020; 56:medicina56120638. [PMID: 33255489 PMCID: PMC7761187 DOI: 10.3390/medicina56120638] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 11/17/2020] [Accepted: 11/21/2020] [Indexed: 12/15/2022]
Abstract
Treatment resistance is prevalent in early intervention in psychosis services, and causes a significant burden for the individual. A wide range of variables are shown to contribute to treatment resistance in first episode psychosis (FEP). Heterogeneity in illness course and the complex, multidimensional nature of the concept of recovery calls for an evidence base to better inform practice at an individual level. Current gold standard treatments, adopting a ‘one-size fits all’ approach, may not be addressing the needs of many individuals. This following review will provide an update and critical appraisal of current clinical practices and methodological approaches for understanding, identifying, and managing early treatment resistance in early psychosis. Potential new treatments along with new avenues for research will be discussed. Finally, we will discuss and critique the application and translation of machine learning approaches to aid progression in this area. The move towards ‘big data’ and machine learning holds some prospect for stratifying intervention-based subgroups of individuals. Moving forward, better recognition of early treatment resistance is needed, along with greater sophistication and precision in predicting outcomes, so that effective evidence-based treatments can be appropriately tailored to the individual. Understanding the antecedents and the early trajectory of one’s illness may also be key to understanding the factors that drive illness course.
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Affiliation(s)
- Siân Lowri Griffiths
- Institute for Mental Health, University of Birmingham, Birmingham B15 2TT, UK
- Correspondence: ; Tel.: +44-7912-4972-67
| | - Max Birchwood
- Warwick Medical School, University of Warwick, Coventry CV4 7AL, UK;
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