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Arribas M, Oliver D, Patel R, Kornblum D, Shetty H, Damiani S, Krakowski K, Provenzani U, Stahl D, Koutsouleris N, McGuire P, Fusar-Poli P. A transdiagnostic prodrome for severe mental disorders: an electronic health record study. Mol Psychiatry 2024:10.1038/s41380-024-02533-5. [PMID: 38710907 DOI: 10.1038/s41380-024-02533-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 03/08/2024] [Accepted: 03/13/2024] [Indexed: 05/08/2024]
Abstract
Effective prevention of severe mental disorders (SMD), including non-psychotic unipolar mood disorders (UMD), non-psychotic bipolar mood disorders (BMD), and psychotic disorders (PSY), rely on accurate knowledge of the duration, first presentation, time course and transdiagnosticity of their prodromal stages. Here we present a retrospective, real-world, cohort study using electronic health records, adhering to RECORD guidelines. Natural language processing algorithms were used to extract monthly occurrences of 65 prodromal features (symptoms and substance use), grouped into eight prodromal clusters. The duration, first presentation, and transdiagnosticity of the prodrome were compared between SMD groups with one-way ANOVA, Cohen's f and d. The time course (mean occurrences) of prodromal clusters was compared between SMD groups with linear mixed-effects models. 26,975 individuals diagnosed with ICD-10 SMD were followed up for up to 12 years (UMD = 13,422; BMD = 2506; PSY = 11,047; median[IQR] age 39.8[23.7] years; 55% female; 52% white). The duration of the UMD prodrome (18[36] months) was shorter than BMD (26[35], d = 0.21) and PSY (24[38], d = 0.18). Most individuals presented with multiple first prodromal clusters, with the most common being non-specific ('other'; 88% UMD, 85% BMD, 78% PSY). The only first prodromal cluster that showed a medium-sized difference between the three SMD groups was positive symptoms (f = 0.30). Time course analysis showed an increase in prodromal cluster occurrences approaching SMD onset. Feature occurrence across the prodromal period showed small/negligible differences between SMD groups, suggesting that most features are transdiagnostic, except for positive symptoms (e.g. paranoia, f = 0.40). Taken together, our findings show minimal differences in the duration and first presentation of the SMD prodromes as recorded in secondary mental health care. All the prodromal clusters intensified as individuals approached SMD onset, and all the prodromal features other than positive symptoms are transdiagnostic. These results support proposals to develop transdiagnostic preventive services for affective and psychotic disorders detected in secondary mental healthcare.
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Affiliation(s)
- Maite Arribas
- Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK.
| | - Dominic Oliver
- Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK
- Department of Psychiatry, University of Oxford, Oxford, OX3 7JX, UK
- NIHR Oxford Health Biomedical Research Centre, Oxford, OX3 7JX, UK
- OPEN Early Detection Service, Oxford Health NHS Foundation Trust, Oxford, OX3 7JX, UK
| | - Rashmi Patel
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK
| | | | - Hitesh Shetty
- NIHR Maudsley Biomedical Research Centre, London, UK
| | - Stefano Damiani
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Kamil Krakowski
- Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Umberto Provenzani
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Daniel Stahl
- NIHR Maudsley Biomedical Research Centre, London, UK
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, London, SE5 8AF, UK
| | - Nikolaos Koutsouleris
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany
- Max-Planck Institute of Psychiatry, Munich, Germany
| | - Philip McGuire
- Department of Psychiatry, University of Oxford, Oxford, OX3 7JX, UK
- NIHR Oxford Health Biomedical Research Centre, Oxford, OX3 7JX, UK
- OPEN Early Detection Service, Oxford Health NHS Foundation Trust, Oxford, OX3 7JX, UK
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany
- Outreach and Support in South-London (OASIS) Service, South London and Maudsley (SLaM) NHS Foundation Trust, London, SE11 5DL, UK
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de Lacy N, Ramshaw MJ. Predicting new onset thought disorder in early adolescence with optimized deep learning implicates environmental-putamen interactions. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.10.23.23297438. [PMID: 37961085 PMCID: PMC10635181 DOI: 10.1101/2023.10.23.23297438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Background Thought disorder (TD) is a sensitive and specific marker of risk for schizophrenia onset. Specifying factors that predict TD onset in adolescence is important to early identification of youth at risk. However, there is a paucity of studies prospectively predicting TD onset in unstratified youth populations. Study Design We used deep learning optimized with artificial intelligence (AI) to analyze 5,777 multimodal features obtained at 9-10 years from youth and their parents in the ABCD study, including 5,014 neural metrics, to prospectively predict new onset TD cases at 11-12 years. The design was replicated for all prevailing TD cases at 11-12 years. Study Results Optimizing performance with AI, we were able to achieve 92% accuracy and F1 and 0.96 AUROC in prospectively predicting the onset of TD in early adolescence. Structural differences in the left putamen, sleep disturbances and the level of parental externalizing behaviors were specific predictors of new onset TD at 11-12 yrs, interacting with low youth prosociality, the total parental behavioral problems and parent-child conflict and whether the youth had already come to clinical attention. More important predictors showed greater inter-individual variability. Conclusions This study provides robust person-level, multivariable signatures of early adolescent TD which suggest that structural differences in the left putamen in late childhood are a candidate biomarker that interacts with psychosocial stressors to increase risk for TD onset. Our work also suggests that interventions to promote improved sleep and lessen parent-child psychosocial stressors are worthy of further exploration to modulate risk for TD onset.
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Affiliation(s)
- Nina de Lacy
- Huntsman Mental Health Institute, Salt Lake City, UT 84103
- Department of Psychiatry, University of Utah, Salt Lake City, UT 84103
| | - Michael J. Ramshaw
- Huntsman Mental Health Institute, Salt Lake City, UT 84103
- Department of Psychiatry, University of Utah, Salt Lake City, UT 84103
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Yu H, Ni P, Zhao L, Tian Y, Li M, Li X, Wei W, Wei J, Deng W, Du X, Wang Q, Guo W, Ma X, Coid J, Li T. Decreased plasma neuropeptides in first-episode schizophrenia, bipolar disorder, major depressive disorder: associations with clinical symptoms and cognitive function. Front Psychiatry 2023; 14:1180720. [PMID: 37275985 PMCID: PMC10235770 DOI: 10.3389/fpsyt.2023.1180720] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 05/02/2023] [Indexed: 06/07/2023] Open
Abstract
Background There is an urgent need to identify differentiating and disease-monitoring biomarkers of schizophrenia, bipolar disorders (BD), and major depressive disorders (MDD) to improve treatment and management. Methods We recruited 54 first-episode schizophrenia (FES) patients, 52 BD patients, 35 MDD patients, and 54 healthy controls from inpatient and outpatient clinics. α-Melanocyte Stimulating Hormone (α-MSH), β-endorphin, neurotensin, orexin-A, oxytocin, and substance P were investigated using quantitative multiplex assay method. Psychotic symptoms were measured using the Brief Psychiatric Rating Scale (BPRS) and Positive and Negative Syndrome Scale (PANSS), manic symptoms using the Young Mania Rating Scale (YMRS), and depressive symptoms using 17 item-Hamilton Depression Rating Scale (HAMD). We additionally measured cognitive function by using a battery of tests given to all participants. Results α-MSH, neurotensin, orexin-A, oxytocin, and substance P were decreased in the three patient groups compared with controls. Neurotensin outperformed all biomarkers in differentiating patient groups from controls. There were no significant differences for 6 neuropeptides in their ability to differentiate between the three patient groups. Higher neurotensin was associated with better executive function across the entire sample. Lower oxytocin and higher substance p were associated with more psychotic symptoms in FES and BD groups. β-endorphin was associated with early morning wakening symptom in all three patient groups. Conclusion Our research shows decreased circulating neuropeptides have the potential to differentiate severe mental illnesses from controls. These neuropeptides are promising treatment targets for improving clinical symptoms and cognitive function in FES, BD, and MDD.
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Affiliation(s)
- Hua Yu
- Department of Neurobiology, Affiliated Mental Health Center and Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- NHC and CAMS Key Laboratory of Medical Neurobiology, MOE Frontier Science Center for Brain Science and Brain-machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Peiyan Ni
- The Psychiatric Laboratory and Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Liansheng Zhao
- The Psychiatric Laboratory and Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yang Tian
- The Psychiatric Laboratory and Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Mingli Li
- The Psychiatric Laboratory and Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xiaojing Li
- Department of Neurobiology, Affiliated Mental Health Center and Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Wei Wei
- Department of Neurobiology, Affiliated Mental Health Center and Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jinxue Wei
- The Psychiatric Laboratory and Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Wei Deng
- Department of Neurobiology, Affiliated Mental Health Center and Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Xiangdong Du
- Suzhou Psychiatry Hospital, Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Qiang Wang
- The Psychiatric Laboratory and Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Wanjun Guo
- Department of Neurobiology, Affiliated Mental Health Center and Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Xiaohong Ma
- The Psychiatric Laboratory and Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jeremy Coid
- The Psychiatric Laboratory and Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Tao Li
- Department of Neurobiology, Affiliated Mental Health Center and Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
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Gil-Berrozpe GJ, Peralta V, Sánchez-Torres AM, Moreno-Izco L, García de Jalón E, Peralta D, Janda L, Cuesta MJ. Psychopathological networks in psychosis: Changes over time and clinical relevance. A long-term cohort study of first-episode psychosis. Schizophr Res 2023; 252:23-32. [PMID: 36621323 DOI: 10.1016/j.schres.2022.12.046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 03/22/2022] [Accepted: 12/29/2022] [Indexed: 01/09/2023]
Abstract
BACKGROUND First-episode psychosis is a critical period for early interventions to reduce the risk of poor outcomes and relapse as much as possible. However, uncertainties about the long-term outcomes of symptomatology remain to be ascertained. METHODS The aim of the present study was to use network analysis to investigate first-episode and long-term stages of psychosis at three levels of analysis: micro, meso and macro. The sample was a cohort of 510 patients with first-episode psychoses from the SEGPEP study, who were reassessed at the long-term follow-up (n = 243). We used the Comprehensive Assessment of Symptoms and History for their assessments and lifetime outcome variables of clinical relevance. RESULTS Our results showed a similar pattern of clustering between first episodes and long-term follow-up in seven psychopathological dimensions at the micro level, 3 and 4 dimensions at the meso level, and one at the macro level. They also revealed significant differences between first-episode and long-term network structure and centrality measures at the three levels, showing that disorganization symptoms have more influence in long-term stabilized patients. CONCLUSIONS Our findings suggest a relative clustering invariance at all levels, with the presence of two domains of disorganization as the most notorious difference over time at micro level. The severity of disorganization at the follow-up was associated with a more severe course of the psychosis. Moreover, a relative stability in global strength of the interconnections was found, even though the network structure varied significantly in the long-term follow-up. The macro level was helpful in the integration of all dimensions into a common psychopathology factor, and in unveiling the strong relationships of psychopathological dimensions with lifetime outcomes, such as negative with poor functioning, disorganization with high antipsychotic dose-years, and delusions with poor adherence to treatment. These results add evidence to the hierarchical, dimensional and longitudinal structure of psychopathological symptoms and their clinical relevance in first-episode psychoses.
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Affiliation(s)
- Gustavo J Gil-Berrozpe
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Victor Peralta
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain; Mental Health Department, Servicio Navarro de Salud - Osasunbidea, Pamplona, Spain
| | - Ana M Sánchez-Torres
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Lucía Moreno-Izco
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Elena García de Jalón
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain; Mental Health Department, Servicio Navarro de Salud - Osasunbidea, Pamplona, Spain
| | - David Peralta
- Mental Health Department, Servicio Navarro de Salud - Osasunbidea, Pamplona, Spain
| | - Lucía Janda
- Mental Health Department, Servicio Navarro de Salud - Osasunbidea, Pamplona, Spain
| | - Manuel J Cuesta
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain.
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Argote M, Sescousse G, Brunelin J, Fakra E, Nourredine M, Rolland B. Association between formal thought disorder and cannabis use: a systematic review and meta-analysis. SCHIZOPHRENIA 2022; 8:78. [PMID: 36175509 PMCID: PMC9523063 DOI: 10.1038/s41537-022-00286-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 09/10/2022] [Indexed: 10/26/2022]
Abstract
AbstractFormal thought disorder (FTD) is a multidimensional syndrome mainly occurring along the psychosis continuum. Cannabis use is known to increase symptoms of psychosis, particularly positive symptoms. However, the impact of cannabis use on FTD in individuals presenting symptoms along the psychosis continuum remains unclear. To address this knowledge gap, we conducted a meta-analysis examining the association between cannabis use and FTD in those individuals. We hypothesized that cannabis would worsen FTD. We conducted a systematic search of the PubMed, ScienceDirect, PsycINFO, Web of Science, Embase and Google Scholar databases up to July 2022. The results were collated through a random-effects model using the statistical software R. Reference lists of included studies were searched for additional relevant publications. Nineteen studies were included, totalling 1840 cannabis users and 3351 non-cannabis users. The severity of FTD was found to be higher in cannabis users (SMD = 0.21, 95%CI [0.12–0.29], p = 0.00009). Subgroup analyses revealed that FTD severity was increased among cannabis users, regardless of the disorder severity: healthy individuals (SMD = 0.19, 95%CI [0.05–0.33], p = 0.02); patients with first-episode psychosis (SMD = 0.21, 95%CI [0.01–0.41], p = 0.04); patients with schizophrenia (SMD = 0.25, 95%CI [0.11–0.38], p = 0.005). Between-group differences were not significant. In line with its already known effect on positive symptoms in psychosis, cannabis use appears to be associated with increased FTD severity all along the psychosis continuum. Future research should consider potential confounding variables such as other substance use disorders and explore how FTD dimensions are impacted by cannabis use.
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Damiani S, Donadeo A, Bassetti N, Salazar‐de‐Pablo G, Guiot C, Politi P, Fusar‐Poli P. Understanding source monitoring subtypes and their relation to psychosis: a systematic review and meta-analysis. Psychiatry Clin Neurosci 2022; 76:162-171. [PMID: 35124869 PMCID: PMC9313862 DOI: 10.1111/pcn.13338] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 01/12/2022] [Accepted: 01/21/2022] [Indexed: 11/29/2022]
Abstract
AIMS Source monitoring (SM) is the metacognitive ability to determine the origin of one's experiences. SM is altered in primary psychiatric psychosis, although relationships between SM subtypes, other cognitive domains and symptoms are unclear. Our aims were to synthesize evidence comparing psychosis -with and without hallucinations- and healthy controls classifying SM subtypes by source discrimination (internal/external/reality monitoring) and stimulus modality (visual/auditory/imagined/performed). METHODS This systematic review adopted Preferred Reporting Items for Systematic Reviews and Meta-Analyses, Meta-analyses Of Observational Studies in Epidemiology and Population, Intervention, Comparison and Outcomes guidelines. Core demographical and clinical parameters were extracted. Newcastle-Ottawa Scale was used as quality check. SM differences between (i) psychosis patients versus healthy controls and (ii) patients with versus without hallucinations were investigated via random-effect model meta-analysis. The primary effect size measure was standardized mean difference (SMD) in each SM subtype performance (error or accuracy). Heterogeneity, publication biases and meta-regressions were assessed. RESULTS Five thousand two hundred and fifty-six records were screened to finally include 44 studies (1566 patients, 1175 controls). Mean Newcastle-Ottawa score was 7.41 out of 9. Few studies measured SM associations with cognition (n = 9) and symptoms (n = 19), with heterogeneous findings. SM performance across all measures was reduced in psychosis versus healthy controls (SMD = 0.458). Internal SM (SMD: errors = 0.513; accuracy = 0.733) and imagined stimuli (SMD: errors = 0.688; accuracy = 0.978) were specifically impaired. Patients with versus without hallucinations showed SM deficits only for externalizing (SMD = 0.410) and imagined/auditory (SMD = 0.498/0.277) errors. CONCLUSION The proposed classifications highlight specific SM deficits for internal/imagined stimuli in psychosis, providing evidence-based indications to design and interpret future studies.
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Affiliation(s)
- Stefano Damiani
- Department of Brain and Behavioral SciencesUniversity of PaviaPaviaItaly
| | - Alberto Donadeo
- Department of Brain and Behavioral SciencesUniversity of PaviaPaviaItaly
| | - Nicola Bassetti
- Department of Brain and Behavioral SciencesUniversity of PaviaPaviaItaly
| | - Gonzalo Salazar‐de‐Pablo
- Early Psychosis: Interventions and Clinical‐detection (EPIC) Lab, Department of Psychosis StudiesInstitute of Psychiatry, Psychology & Neuroscience, King's College LondonLondonUK
- Child and Adolescent Mental Health ServicesSouth London and the Maudsley NHS Foundation TrustLondonUK
| | - Cecilia Guiot
- Department of Brain and Behavioral SciencesUniversity of PaviaPaviaItaly
| | - Pierluigi Politi
- Department of Brain and Behavioral SciencesUniversity of PaviaPaviaItaly
| | - Paolo Fusar‐Poli
- Department of Brain and Behavioral SciencesUniversity of PaviaPaviaItaly
- Early Psychosis: Interventions and Clinical‐detection (EPIC) Lab, Department of Psychosis StudiesInstitute of Psychiatry, Psychology & Neuroscience, King's College LondonLondonUK
- OASIS service, South London and Maudsley NHS Foundation TrustLondonUK
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The Kraepelian concept of schizophrenia: Dying but not yet dead. Schizophr Res 2022; 242:102-105. [PMID: 34952779 DOI: 10.1016/j.schres.2021.12.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 12/05/2021] [Accepted: 12/06/2021] [Indexed: 12/16/2022]
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Sharaev M, Malashenkova I, Maslennikova A, Zakharova N, Bernstein A, Burnaev E, Mamedova G, Krynskiy S, Ogurtsov D, Kondrateva E, Druzhinina P, Zubrikhina M, Arkhipov A, Strelets V, Ushakov V. Diagnosis of Schizophrenia Based on the Data of Various Modalities: Biomarkers and Machine Learning Techniques (Review). Sovrem Tekhnologii Med 2022; 14:53-75. [PMID: 37181835 PMCID: PMC10171060 DOI: 10.17691/stm2022.14.5.06] [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: 05/20/2022] [Indexed: 05/16/2023] Open
Abstract
Schizophrenia is a socially significant mental disorder resulting frequently in severe forms of disability. Diagnosis, choice of treatment tactics, and rehabilitation in clinical psychiatry are mainly based on the assessment of behavioral patterns, socio-demographic data, and other investigations such as clinical observations and neuropsychological testing including examination of patients by the psychiatrist, self-reports, and questionnaires. In many respects, these data are subjective and therefore a large number of works have appeared in recent years devoted to the search for objective characteristics (indices, biomarkers) of the processes going on in the human body and reflected in the behavioral and psychoneurological patterns of patients. Such biomarkers are based on the results of instrumental and laboratory studies (neuroimaging, electro-physiological, biochemical, immunological, genetic, and others) and are successfully being used in neurosciences for understanding the mechanisms of the emergence and development of nervous system pathologies. Presently, with the advent of new effective neuroimaging, laboratory, and other methods of investigation and also with the development of modern methods of data analysis, machine learning, and artificial intelligence, a great number of scientific and clinical studies is being conducted devoted to the search for the markers which have diagnostic and prognostic value and may be used in clinical practice to objectivize the processes of establishing and clarifying the diagnosis, choosing and optimizing treatment and rehabilitation tactics, predicting the course and outcome of the disease. This review presents the analysis of the works which describe the correlates between the diagnosis of schizophrenia, established by health professionals, various manifestations of the psychiatric disorder (its subtype, variant of the course, severity degree, observed symptoms, etc.), and objectively measured characteristics/quantitative indicators (anatomical, functional, immunological, genetic, and others) obtained during instrumental and laboratory examinations of patients. A considerable part of these works has been devoted to correlates/biomarkers of schizophrenia based on the data of structural and functional (at rest and under cognitive load) MRI, EEG, tractography, and immunological data. The found correlates/biomarkers reflect anatomic disorders in the specific brain regions, impairment of functional activity of brain regions and their interconnections, specific microstructure of the brain white matter and the levels of connectivity between the tracts of various structures, alterations of electrical activity in various parts of the brain in different EEG spectral ranges, as well as changes in the innate and adaptive links of immunity. Current methods of data analysis and machine learning to search for schizophrenia biomarkers using the data of diverse modalities and their application during building and interpretation of predictive diagnostic models of schizophrenia have been considered in the present review.
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Affiliation(s)
- M.G. Sharaev
- Senior Researcher; Skolkovo Institute of Science and Technology (Skoltech), Territory of Skolkovo Innovation Center, Bldg 1, 30 Bolshoy Boulevard, Moscow, 121205, Russia; Department Senior Researcher; N.A. Alekseyev Psychiatric Clinical Hospital No.1, 2 Zagorodnoye Shosse, Moscow, 117152, Russia
- Corresponding author: Maksim G. Sharaev, e-mail:
| | - I.K. Malashenkova
- Head of the Laboratory of Molecular Immunology and Virology; National Research Center “Kurchatov Institute”, 1 Akademika Kurchatova Square, Moscow, 123182, Russia; Senior Researcher, Laboratory of Clinical Immunology; Federal Research and Clinical Center of Physical-Chemical Medicine, Federal Medical Biological Agency of Russia, 1A Malaya Pirogovskaya St., Moscow, 119435, Russia
| | - A.V. Maslennikova
- Researcher, Laboratory of Human Higher Nervous Activity; Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, 5A Butlerova St., Moscow, 117485, Russia
| | - N.V. Zakharova
- Head of the Laboratory for Fundamental Research Methods, Research Clinical Center of Neuropsychiatry; N.A. Alekseyev Psychiatric Clinical Hospital No.1, 2 Zagorodnoye Shosse, Moscow, 117152, Russia
| | - A.V. Bernstein
- Professor, Professor of the Center of Applied Artificial Intelligence; Skolkovo Institute of Science and Technology (Skoltech), Territory of Skolkovo Innovation Center, Bldg 1, 30 Bolshoy Boulevard, Moscow, 121205, Russia
| | - E.V. Burnaev
- Associate Professor, Professor of the Center of Applied Artificial Intelligence; Skolkovo Institute of Science and Technology (Skoltech), Territory of Skolkovo Innovation Center, Bldg 1, 30 Bolshoy Boulevard, Moscow, 121205, Russia
| | - G.S. Mamedova
- Junior Researcher, Laboratory for Fundamental Research Methods, Research Clinical Center of Neuropsychiatry; N.A. Alekseyev Psychiatric Clinical Hospital No.1, 2 Zagorodnoye Shosse, Moscow, 117152, Russia
| | - S.A. Krynskiy
- Researcher, Laboratory of Molecular Immunology and Virology; National Research Center “Kurchatov Institute”, 1 Akademika Kurchatova Square, Moscow, 123182, Russia
| | - D.P. Ogurtsov
- Researcher, Laboratory of Molecular Immunology and Virology; National Research Center “Kurchatov Institute”, 1 Akademika Kurchatova Square, Moscow, 123182, Russia
| | - E.A. Kondrateva
- PhD Student; Skolkovo Institute of Science and Technology (Skoltech), Territory of Skolkovo Innovation Center, Bldg 1, 30 Bolshoy Boulevard, Moscow, 121205, Russia
| | - P.V. Druzhinina
- PhD Student; Skolkovo Institute of Science and Technology (Skoltech), Territory of Skolkovo Innovation Center, Bldg 1, 30 Bolshoy Boulevard, Moscow, 121205, Russia
| | - M.O. Zubrikhina
- PhD Student; Skolkovo Institute of Science and Technology (Skoltech), Territory of Skolkovo Innovation Center, Bldg 1, 30 Bolshoy Boulevard, Moscow, 121205, Russia
| | - A.Yu. Arkhipov
- Researcher, Laboratory of Human Higher Nervous Activity; Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, 5A Butlerova St., Moscow, 117485, Russia
| | - V.B. Strelets
- Chief Researcher, Laboratory of Human Higher Nervous Activity; Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, 5A Butlerova St., Moscow, 117485, Russia
| | - V.L. Ushakov
- Associate Professor, Chief Researcher, Institute for Advanced Brain Research; Lomonosov Moscow State University, 27/1 Lomonosov Avenue, Moscow, 119192, Russia; Head of the Department; N.A. Alekseyev Psychiatric Clinical Hospital No.1, 2 Zagorodnoye Shosse, Moscow, 117152, Russia; Senior Researcher; National Research Nuclear University MEPhI, 31 Kashirskoye Shosse, Moscow, 115409, Russia
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Madzarac Z, Tudor L, Sagud M, Nedic Erjavec G, Mihaljevic Peles A, Pivac N. The Associations between COMT and MAO-B Genetic Variants with Negative Symptoms in Patients with Schizophrenia. Curr Issues Mol Biol 2021; 43:618-636. [PMID: 34287249 PMCID: PMC8928957 DOI: 10.3390/cimb43020045] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 07/05/2021] [Accepted: 07/07/2021] [Indexed: 12/15/2022] Open
Abstract
Negative symptoms of schizophrenia, including anhedonia, represent a heavy burden on patients and their relatives. These symptoms are associated with cortical hypodopamynergia and impaired striatal dopamine release in response to reward stimuli. Catechol-O-methyltransferase (COMT) and monoamine oxidase type B (MAO-B) degrade dopamine and affect its neurotransmission. The study determined the association between COMT rs4680 and rs4818, MAO-B rs1799836 and rs6651806 polymorphisms, the severity of negative symptoms, and physical and social anhedonia in schizophrenia. Sex-dependent associations were detected in a research sample of 302 patients with schizophrenia. In female patients with schizophrenia, the presence of the G allele or GG genotype of COMT rs4680 and rs4818, as well as GG haplotype rs4818-rs4680, which were all related to higher COMT activity, was associated with an increase in several dimensions of negative symptoms and anhedonia. In male patients with schizophrenia, carriers of the MAO-B rs1799836 A allele, presumably associated with higher MAO-B activity, had a higher severity of alogia, while carriers of the A allele of the MAO-B rs6651806 had a higher severity of negative symptoms. These findings suggest that higher dopamine degradation, associated with COMT and MAO-B genetic variants, is associated with a sex-specific increase in the severity of negative symptoms in schizophrenia patients.
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Affiliation(s)
- Zoran Madzarac
- Department of Psychiatry and Psychological Medicine, University Hospital Centre Zagreb, 10 000 Zagreb, Croatia; (Z.M.); (M.S.); (A.M.P.)
| | - Lucija Tudor
- Ruder Boskovic Institute, 10 000 Zagreb, Croatia; (L.T.); (G.N.E.)
| | - Marina Sagud
- Department of Psychiatry and Psychological Medicine, University Hospital Centre Zagreb, 10 000 Zagreb, Croatia; (Z.M.); (M.S.); (A.M.P.)
- School of Medicine, University of Zagreb, 10 000 Zagreb, Croatia
| | | | - Alma Mihaljevic Peles
- Department of Psychiatry and Psychological Medicine, University Hospital Centre Zagreb, 10 000 Zagreb, Croatia; (Z.M.); (M.S.); (A.M.P.)
- School of Medicine, University of Zagreb, 10 000 Zagreb, Croatia
| | - Nela Pivac
- Ruder Boskovic Institute, 10 000 Zagreb, Croatia; (L.T.); (G.N.E.)
- Correspondence: ; Tel.: +385-915-371-810
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Campbell S, Osborn TL. Adolescent psychopathology and psychological wellbeing: a network analysis approach. BMC Psychiatry 2021; 21:333. [PMID: 34217254 PMCID: PMC8254923 DOI: 10.1186/s12888-021-03331-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 06/18/2021] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND The extent to which psychological wellbeing may play a preventive and therapeutic role in the development and maintenance of adolescent emotional disorders depends, in part, on the nature of the overlap between these two constructs. We estimated network analysis to examine the relationship between adolescent psychopathology (measured by depression and anxiety symptoms) and psychological wellbeing (measured by happiness, optimism, social support, perceived control, and gratitude). METHODS This was a cross-sectional study with a large community sample of Kenyan adolescents (N = 2192, aged 13-18). Network analyses were conducted to examine the topology, stability, centrality, and bridge nodes of a network of psychopathology and psychological wellbeing measures. RESULTS Two distinct community clusters emerged, one for psychopathology nodes and another for wellbeing nodes, suggesting that these are two distinct but connected concepts. Central and bridge nodes of the wellbeing and psychopathology network were identified. The most central nodes in the network were family provides emotional help and support and self-blame; the strongest negative edges between psychopathology and psychological wellbeing were depressed mood-I love life and irritability-I am a joyful person; the main bridge nodes were family helps me and I can talk to family about problems. CONCLUSIONS Our findings expand understanding of the relationship between psychopathology and wellbeing in an understudied population and are suggestive of how psychological wellbeing can inform psychopathological treatment and preventive efforts in low-income regions such as those in Sub Saharan Africa.
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11
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Ucok A, Karakaş B, Şahin OŞ. Formal thought disorder in patients with first-episode schizophrenia: Results of a one-year follow-up study. Psychiatry Res 2021; 301:113972. [PMID: 33979765 DOI: 10.1016/j.psychres.2021.113972] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Accepted: 04/24/2021] [Indexed: 11/19/2022]
Abstract
Formal thought disorder (FTD) refers to abnormal speech patterns that can be characterized by deficiencies in thought organization and direction. The present study aimed to assess the factor structure of FTD and to examine its relationship with cognition and clinical features at first admission in patients with first-episode schizophrenia. We also examined the course of FTD during the twelve months after first admission. We assessed FTD using the alogia items of the Scale for the Assessment of Negative Symptoms and FTD items of the Scale for the Assessment of Positive Symptoms in 160 drug-naïve patients. A three-factor structure as a disorganization factor, poverty factor, and verbosity factor were found in principal component analysis. The poverty factor was correlated negatively with executive functions, attention, and global cognition. The poverty factor was also correlated with global functioning. Admission FTD factor scores were not related to global functioning and work/study status at one year. The positive-FTD score decreased from admission to the third month, but no change occurred from the third to the twelfth month. The negative-FTD score did not differ throughout the follow-up. Our findings showed that FTD had three factors. Each factor had a different relationship with cognition and functioning.
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Affiliation(s)
- Alp Ucok
- Department of Psychiatry, Faculty of Medicine, Istanbul University, Istanbul, Turkey.
| | - Begüm Karakaş
- Department of Psychiatry, Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Olcay Şenay Şahin
- Department of Psychiatry, Faculty of Medicine, Istanbul University, Istanbul, Turkey
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12
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Irving J, Colling C, Shetty H, Pritchard M, Stewart R, Fusar-Poli P, McGuire P, Patel R. Gender differences in clinical presentation and illicit substance use during first episode psychosis: a natural language processing, electronic case register study. BMJ Open 2021; 11:e042949. [PMID: 33879482 PMCID: PMC8061860 DOI: 10.1136/bmjopen-2020-042949] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 03/09/2021] [Accepted: 03/16/2021] [Indexed: 11/06/2022] Open
Abstract
OBJECTIVE To determine whether gender differences in symptom presentation at first episode psychosis (FEP) remain even when controlling for substance use, age and ethnicity, using natural language processing applied to electronic health records (EHRs). DESIGN, SETTING AND PARTICIPANTS Data were extracted from EHRs of 3350 people (62% male patients) who had presented to the South London and Maudsley NHS Trust with a FEP between 1 April 2007 and 31 March 2017. Logistic regression was used to examine gender differences in the presentation of positive, negative, depressive, mania and disorganisation symptoms. EXPOSURES FOR OBSERVATIONAL STUDIES Gender (male vs female). MAIN OUTCOMES AND MEASURES Presence of positive, negative, depressive, mania and disorganisation symptoms at initial clinical presentation. RESULTS Eight symptoms were significantly more prevalent in men (poverty of thought, negative symptoms, social withdrawal, poverty of speech, aggression, grandiosity, paranoia and agitation). Conversely, tearfulness, low energy, reduced appetite, low mood, pressured speech, mood instability, flight of ideas, guilt, mutism, insomnia, poor concentration, tangentiality and elation were more prevalent in women than men. Negative symptoms were more common among men (OR 1.85, 95% CI 1.33 to 2.62) and depressive and manic symptoms more common among women (OR 0.30, 95% CI 0.26 to 0.35). After adjustment for illicit substance use, the strength of associations between gender and negative, manic and depression symptoms increased, whereas gender differences in aggression, agitation, paranoia and grandiosity became insignificant. CONCLUSIONS There are clear gender differences in the clinical presentation of FEP. Our findings suggest that gender can have a substantial influence on the nature of clinical presentation in people with psychosis, and that this is only partly explained by exposure to illicit substance use.
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Affiliation(s)
- Jessica Irving
- Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, London, UK
| | - Craig Colling
- Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
| | - Hitesh Shetty
- Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
| | - Megan Pritchard
- Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
- Department of Psychological Medicine, Institute of Psychiatry Psychology and Neuroscience, London, UK
| | - Robert Stewart
- Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
- Department of Psychological Medicine, Institute of Psychiatry Psychology and Neuroscience, London, UK
| | - Paolo Fusar-Poli
- Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, London, UK
- Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
| | - Rashmi Patel
- Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, London, UK
- Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
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Lower speech connectedness linked to incidence of psychosis in people at clinical high risk. Schizophr Res 2021; 228:493-501. [PMID: 32951966 DOI: 10.1016/j.schres.2020.09.002] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2019] [Revised: 05/29/2020] [Accepted: 09/07/2020] [Indexed: 12/25/2022]
Abstract
BACKGROUND Formal thought disorder is a cardinal feature of psychotic disorders, and is also evident in subtle forms before psychosis onset in individuals at clinical high-risk for psychosis (CHR-P). Assessing speech output or assessing expressive language with speech as the medium at this stage may be particularly useful in predicting later transition to psychosis. METHOD Speech samples were acquired through administration of the Thought and Language Index (TLI) in 24 CHR-P participants, 16 people with first-episode psychosis (FEP) and 13 healthy controls. The CHR-P individuals were then followed clinically for a mean of 7 years (s.d. = 1.5) to determine if they transitioned to psychosis. Non-semantic speech graph analysis was used to assess the connectedness of transcribed speech in all groups. RESULTS Speech was significantly more disconnected in the FEP group than in both healthy controls (p < .01) and the CHR-P group (p < .05). Results remained significant when IQ was included as a covariate. Significant correlations were found between speech connectedness measures and scores on the TLI, a manual assessment of formal thought disorder. In the CHR-P group, lower scores on two measures of speech connectedness were associated with subsequent transition to psychosis (8 transitions, 16 non-transitions; p < .05). CONCLUSION These findings support the utility and validity of speech graph analysis methods in characterizing speech connectedness in the early phases of psychosis. This approach has the potential to be developed into an automated, objective and time-efficient way of stratifying individuals at CHR-P according to level of psychosis risk.
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Dazzan P, Lappin JM, Heslin M, Donoghue K, Lomas B, Reininghaus U, Onyejiaka A, Croudace T, Jones PB, Murray RM, Fearon P, Doody GA, Morgan C. Symptom remission at 12-weeks strongly predicts long-term recovery from the first episode of psychosis. Psychol Med 2020; 50:1452-1462. [PMID: 31364523 PMCID: PMC7385193 DOI: 10.1017/s0033291719001399] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Revised: 04/18/2019] [Accepted: 05/28/2019] [Indexed: 02/04/2023]
Abstract
BACKGROUND To determine the baseline individual characteristics that predicted symptom recovery and functional recovery at 10-years following the first episode of psychosis. METHODS AESOP-10 is a 10-year follow up of an epidemiological, naturalistic population-based cohort of individuals recruited at the time of their first episode of psychosis in two areas in the UK (South East London and Nottingham). Detailed information on demographic, clinical, and social factors was examined to identify which factors predicted symptom and functional remission and recovery over 10-year follow-up. The study included 557 individuals with a first episode psychosis. The main study outcomes were symptom recovery and functional recovery at 10-year follow-up. RESULTS At 10 years, 46.2% (n = 140 of 303) of patients achieved symptom recovery and 40.9% (n = 117) achieved functional recovery. The strongest predictor of symptom recovery at 10 years was symptom remission at 12 weeks (adj OR 4.47; CI 2.60-7.67); followed by a diagnosis of depression with psychotic symptoms (adj OR 2.68; CI 1.02-7.05). Symptom remission at 12 weeks was also a strong predictor of functional recovery at 10 years (adj OR 2.75; CI 1.23-6.11), together with being from Nottingham study centre (adj OR 3.23; CI 1.25-8.30) and having a diagnosis of mania (adj OR 8.17; CI 1.61-41.42). CONCLUSIONS Symptom remission at 12 weeks is an important predictor of both symptom and functional recovery at 10 years, with implications for illness management. The concepts of clinical and functional recovery overlap but should be considered separately.
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Affiliation(s)
- Paola Dazzan
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- National Institute for Health Research Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK
| | - Julia M. Lappin
- School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, Australia
| | - Margaret Heslin
- National Institute for Health Research Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK
- Department of Health Service & Population Research, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Kim Donoghue
- Department of Addictions, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Ben Lomas
- Department of Psychiatry, University of Nottingham, Nottingham, UK
| | - Uli Reininghaus
- Department of Health Service & Population Research, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University
| | - Adanna Onyejiaka
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Tim Croudace
- School of Nursing & Health Sciences, University of Dundee, Dundee, UK
| | - Peter B. Jones
- University of Cambridge, and Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - Robin M. Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- National Institute for Health Research Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK
| | - Paul Fearon
- Discipline of Psychiatry, School of Medicine, Trinity College, Dublin, Ireland
| | - Gillian A. Doody
- Department of Psychiatry, University of Nottingham, Nottingham, UK
| | - Craig Morgan
- National Institute for Health Research Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK
- Department of Health Service & Population Research, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
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15
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Drake RJ, Husain N, Marshall M, Lewis SW, Tomenson B, Chaudhry IB, Everard L, Singh S, Freemantle N, Fowler D, Jones PB, Amos T, Sharma V, Green CD, Fisher H, Murray RM, Wykes T, Buchan I, Birchwood M. Effect of delaying treatment of first-episode psychosis on symptoms and social outcomes: a longitudinal analysis and modelling study. Lancet Psychiatry 2020; 7:602-610. [PMID: 32563307 PMCID: PMC7606908 DOI: 10.1016/s2215-0366(20)30147-4] [Citation(s) in RCA: 60] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 03/31/2020] [Accepted: 04/01/2020] [Indexed: 11/21/2022]
Abstract
BACKGROUND Delayed treatment for first episodes of psychosis predicts worse outcomes. We hypothesised that delaying treatment makes all symptoms more refractory, with harm worsening first quickly, then more slowly. We also hypothesised that although delay impairs treatment response, worse symptoms hasten treatment, which at presentation mitigates the detrimental effect of treatment delay on symptoms. METHODS In this longitudinal analysis and modelling study, we included two longitudinal cohorts of patients with first-episode psychosis presenting to English early intervention services from defined catchments: NEDEN (recruiting 1003 patients aged 14-35 years from 14 services between Aug 1, 2005, and April 1, 2009) and Outlook (recruiting 399 patients aged 16-35 years from 11 services between April 1, 2006, and Feb 28, 2009). Patients were assessed at baseline, 6 months, and 12 months with the Positive and Negative Symptom Scale (PANSS), Calgary Depression Scale for Schizophrenia, Mania Rating Scale, Insight Scale, and Social and Occupational Functioning Assessment Scale. Regression was used to compare different models of the relationship between duration of untreated psychosis (DUP) and total symptoms at 6 months. Growth curve models of symptom subscales tested predictions arising from our hypotheses. FINDINGS We included 948 patients from the NEDEN study and 332 patients from the Outlook study who completed baseline assessments and were prescribed dopamine antagonist antipsychotics. For both cohorts, the best-fitting models were logarithmic, describing a curvilinear relationship of DUP to symptom severity: longer DUP predicted reduced treatment response, but response worsened more slowly as DUP lengthened. Increasing DUP by ten times predicted reduced improvement in total symptoms (ie, PANSS total) by 7·339 (95% CI 5·762 to 8·916; p<0·0001) in NEDEN data and 3·846 (1·689 to 6·003; p=0·0005) in Outlook data. This was true of treatment response for all symptom types. Nevertheless, longer DUP was not associated with worse presentation for any symptoms except depression in NEDEN (coefficients 0·099 [95% CI 0·033 to 0·164]; p=0·0028 in NEDEN and 0·007 [-0·081 to 0·095]; p=0·88 in Outlook). INTERPRETATION Long DUP was associated with reduced treatment response across subscales, consistent with a harmful process upstream of individual symptoms' mechanisms; response appeared to worsen quickly at first, then more slowly. These associations underscore the importance of rapid access to a comprehensive range of treatments, especially in the first weeks after psychosis onset. FUNDING UK Department of Health, National Institute of Health Research, and Medical Research Council.
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Affiliation(s)
- Richard J Drake
- Division of Psychology & Mental Health, University of Manchester, Manchester, UK; Manchester Academic Health Science Centre, Manchester, UK; Greater Manchester Mental Health NHS Foundation Trust, Prestwich, Manchester, UK.
| | - Nusrat Husain
- Division of Psychology & Mental Health, University of Manchester, Manchester, UK; Manchester Academic Health Science Centre, Manchester, UK; Lancashire Care & South Cumbria NHS Foundation Trust, Preston, Lancashire, UK
| | - Max Marshall
- Lancashire Care & South Cumbria NHS Foundation Trust, Preston, Lancashire, UK
| | - Shôn W Lewis
- Division of Psychology & Mental Health, University of Manchester, Manchester, UK; Manchester Academic Health Science Centre, Manchester, UK; Greater Manchester Mental Health NHS Foundation Trust, Prestwich, Manchester, UK
| | - Barbara Tomenson
- Division of Population Health, Health Services Research & Primary Care, University of Manchester, Manchester, UK; Manchester Academic Health Science Centre, Manchester, UK
| | - Imran B Chaudhry
- Division of Neuroscience & Experimental Psychology, University of Manchester, Manchester, UK; Manchester Academic Health Science Centre, Manchester, UK; Department of Psychiatry, Ziauddin University, Karachi, Pakistan
| | - Linda Everard
- Birmingham and Solihull NHS, Mental Health Foundation, Trust, Birmingham, UK
| | - Swaran Singh
- Department of Mental Health & Wellbeing, University of Warwick, Warwick, UK
| | - Nick Freemantle
- Institute for Clinical Trials, University College London, London, UK
| | - David Fowler
- School of Psychology, University of Sussex, Brighton, UK; Sussex Partnership NHS Foundation Trust, Worthing, UK
| | - Peter B Jones
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK; NIHR Collaboration for Leadership in Applied Health Research & Care East of England, Cambridge, UK
| | - Tim Amos
- School of Clinical Sciences, University of Bristol, Bristol, UK; Avon & Wiltshire Mental Health Partnership NHS Trust, Chippenham, UK
| | - Vimal Sharma
- Chester Medical School, University of Chester, Chester, UK; Cheshire & Wirral Partnership NHS Foundation Trust, Chester, UK
| | - Chloe D Green
- Manchester Academic Health Science Centre, Manchester, UK; Greater Manchester Mental Health NHS Foundation Trust, Prestwich, Manchester, UK
| | - Helen Fisher
- MRC Centre for Social, Genetic & Developmental Psychiatry, 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; NIHR Maudsley Biomedical Research Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Til Wykes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; NIHR Maudsley Biomedical Research Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Iain Buchan
- Division of Informatics, Imaging & Data Sciences, University of Manchester, Manchester, UK; Manchester Academic Health Science Centre, Manchester, UK; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Salford Royal NHS Foundation Trust, Salford, UK; Institute of Population Health Sciences, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK
| | - Max Birchwood
- Department of Mental Health & Wellbeing, University of Warwick, Warwick, UK
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Roberts T, Gureje O, Thara R, Hutchinson G, Cohen A, Weiss HA, John S, Lee Pow J, Donald C, Olley B, Miguel Esponda G, Murray RM, Morgan C. INTREPID II: protocol for a multistudy programme of research on untreated psychosis in India, Nigeria and Trinidad. BMJ Open 2020; 10:e039004. [PMID: 32565481 PMCID: PMC7311008 DOI: 10.1136/bmjopen-2020-039004] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
INTRODUCTION There are few robust and directly comparable studies of the epidemiology of psychotic disorders in the Global South. INTREPID II is designed to investigate variations in untreated psychotic disorders in the Global South in (1) incidence and presentation (2) 2-year course and outcome, (3) help-seeking and impact, and (4) physical health. METHODS INTREPID II is a programme of research incorporating incidence, case-control and cohort studies of psychoses in contiguous urban and rural areas in India, Nigeria and Trinidad. In each country, the target samples are 240 untreated cases with a psychotic disorder, 240 age-matched, sex-matched and neighbourhood-matched controls, and 240 relatives or caregivers. Participants will be followed, in the first instance, for 2 years. In each setting, we have developed and are employing comprehensive case-finding methods to ensure cohorts are representative of the target populations. Using methods developed during pilot work, extensive data are being collected at baseline and 2-year follow-up across several domains: clinical, social, help-seeking and impact, and biological. ETHICS AND DISSEMINATION Informed consent is sought, and participants are free to withdraw from the study at any time. Participants are referred to mental health services if not already in contact with these and emergency treatment arranged where necessary. All data collected are confidential, except when a participant presents a serious risk to either themselves or others. This programme has been approved by ethical review boards at all participating centres. Findings will be disseminated through international conferences, publications in international journals, and through local events for key stakeholders.
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Affiliation(s)
- Tessa Roberts
- Health Service & Population Research department, Institute of Psychiatry Psychology and Neuroscience, London, UK
- ESRC Centre for Society and Mental Health, King's College London, London, UK
| | - Oye Gureje
- WHO Collaborating Centre for Research and Training in Mental Health, Neuroscience and Substance Abuse, Department of Psychiatry, University of Ibadan, Ibadan, Oyo, Nigeria
| | | | - Gerard Hutchinson
- Department of Psychiatry, The University of the West Indies at Saint Augustine Faculty of Medical Sciences, Saint Augustine, Tunapuna-Piarco, Trinidad and Tobago
| | - Alex Cohen
- Department of Epidemiology, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
| | - Helen Anne Weiss
- Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
- London School of Hygiene and Tropical Medicine, London, UK
| | - Sujit John
- Schizophrenia Research Foundation, Chennai, India
| | - Joni Lee Pow
- Department of Psychiatry, The University of the West Indies at Saint Augustine Faculty of Medical Sciences, Saint Augustine, Tunapuna-Piarco, Trinidad and Tobago
| | - Casswina Donald
- Department of Psychiatry, The University of the West Indies at Saint Augustine Faculty of Medical Sciences, Saint Augustine, Tunapuna-Piarco, Trinidad and Tobago
| | - Bola Olley
- Department of Psychiatry, University of Ibadan College of Medicine, Ibadan, Oyo, Nigeria
| | - Georgina Miguel Esponda
- Health Service & Population Research department, Institute of Psychiatry Psychology and Neuroscience, London, UK
- ESRC Centre for Society and Mental Health, King's College London, London, UK
| | - Robin M Murray
- Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, London, UK
| | - Craig Morgan
- Health Service & Population Research department, Institute of Psychiatry Psychology and Neuroscience, London, UK
- ESRC Centre for Society and Mental Health, King's College London, London, UK
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Collo G, Mucci A, Giordano GM, Merlo Pich E, Galderisi S. Negative Symptoms of Schizophrenia and Dopaminergic Transmission: Translational Models and Perspectives Opened by iPSC Techniques. Front Neurosci 2020; 14:632. [PMID: 32625059 PMCID: PMC7315891 DOI: 10.3389/fnins.2020.00632] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 05/22/2020] [Indexed: 12/18/2022] Open
Abstract
Negative symptoms (NS) represent a heterogeneous dimension of schizophrenia (SCZ), associated with a poor functional outcome. A dysregulated dopamine (DA) system, including a reduced D1 receptor activation in the prefrontal cortex, DA hypoactivity in the caudate and alterations in D3 receptor activity, seems to contribute to the pathogenesis of NS. However, failure to take into account the NS heterogeneity has slowed down progress in research on their neurobiological correlates and discoveries of new effective treatments. A better neurobiological characterization of NS is needed, and this requires objective quantification of their features that can be applied in translational models, such as animal models and human inducible pluripotent stem cells (iPSC). In this review we summarize the evidence for dopaminergic alterations relevant to NS in translational animal models focusing on dysfunctional motivation, a core aspect of NS. Among others, experiments on mutant rodents with an overexpression of DA D2 or D3 receptors and the dopamine deficient mice are discussed. In the second part we summarize the findings from recent studies using iPSC to model the pathogenesis of SCZ. By retaining the genetic background of risk genetic variants, iPSC offer the possibility to study the effect of de novo mutations or inherited polymorphisms from subgroups of patients and their response to drugs, adding an important tool for personalized psychiatry. Given the key role of DA in NS, we focus on findings of iPSC-derived DA neurons. Since implementation of iPSC-derived neurons to study the neurobiology of SCZ is a relatively recent acquisition, the available data are limited. We highlight some methodological aspects of relevance in the interpretation of in vitro testing results, including limitations and strengths, offering a critical viewpoint for the implementation of future pharmacological studies aimed to the discovery and characterization of novel treatments for NS.
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Affiliation(s)
- Ginetta Collo
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Armida Mucci
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Giulia M. Giordano
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Emilio Merlo Pich
- Research & Development, Alfasigma Schweiz, Zofingen, Switzerland
- Department of Brain Sciences, Imperial College London, London, United Kingdom
| | - Silvana Galderisi
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
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Giannitelli M, Levinson DF, Cohen D, Xavier J, Laurent-Levinson C. Developmental and symptom profiles in early-onset psychosis. Schizophr Res 2020; 216:470-478. [PMID: 31874744 DOI: 10.1016/j.schres.2019.10.028] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Revised: 08/23/2019] [Accepted: 10/12/2019] [Indexed: 01/01/2023]
Abstract
Psychotic disorders in children are more heterogeneous than is captured by categorical diagnoses. In a new cohort of children and adolescents, we evaluated the relationships among age at onset (AAO), clinical symptoms and developmental impairments. Patients with schizophrenia and other "spectrum" psychotic diagnoses (N = 88; AAO 6-17, mean 12.6) were evaluated with diagnostic interviews, a new clinical scale (Lifetime Dimensions of Psychosis Scale-Child and Adolescent), and neuropsychological and medical evaluations. Key findings were replicated in an adult cohort of 2420 cases, including 127 with retrospective AAO<13. Factor and cluster analyses were carried out to identify clinical profiles. Five clinical factors were identified in each cohort: Positive, Bizarre Positive, Negative/Formal Thought Disorder, Depression and Mania. Earlier AAO predicted severity of bizarre positive symptoms in children and of bizarre and other symptoms in adults. Four clinical clusters in the child cohort were characterized by: more severe bizarre positive symptoms (N = 31); negative symptoms (N = 15); premorbid autism spectrum features and developmental delay (N = 12); and depressive symptoms with heterogeneous diagnoses and mild positive/negative symptoms (N = 25). Previous factor-analytic studies of childhood psychosis did not specifically consider bizarre positive symptoms. Here, bizarre positive symptoms emerged as clinical markers of severe, childhood-onset psychosis similar to adult schizophrenia. The four clusters are clinically meaningful and useful for treatment planning and potentially for biological research. Childhood-onset cases are rare and thus difficult to study, but additional, larger cohorts may be useful in dissecting the biological and developmental heterogeneity of psychotic disorders.
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Affiliation(s)
- Marianna Giannitelli
- Faculté de Médecine Sorbonne Université, Groupe de Recherche Clinique n°15 - Troubles Psychiatriques et Développement (PSYDEV), 47-83 Boulevard de l'Hôpital, 75651, Paris Cedex 13, France; Centre de Référence des Maladies Rares à Expression Psychiatrique, Department of Child and Adolescent Psychiatry, AP-HP, Hôpital Universitaire de la Pitié-Salpêtrière, 47 - 83 Boulevard de l'Hôpital, 75651, Paris Cedex 13, France.
| | - Douglas F Levinson
- Department of Psychiatry and Behavioral Sciences, Stanford University, 401 Quarry Rd., Stanford, CA, 94305, USA.
| | - David Cohen
- Faculté de Médecine Sorbonne Université, Groupe de Recherche Clinique n°15 - Troubles Psychiatriques et Développement (PSYDEV), 47-83 Boulevard de l'Hôpital, 75651, Paris Cedex 13, France; Centre de Référence des Maladies Rares à Expression Psychiatrique, Department of Child and Adolescent Psychiatry, AP-HP, Hôpital Universitaire de la Pitié-Salpêtrière, 47 - 83 Boulevard de l'Hôpital, 75651, Paris Cedex 13, France; Institut des Systèmes Intelligents et de Robotique (ISIR), CNRS UMR7222, Sorbonne Université, Campus Pierre et Marie Curie, Faculté des Sciences et Ingénierie, Pyramide, Tour 55, Boîte courrier 173, 4 Place Jussieu, 75252, Paris Cedex 05, France.
| | - Jean Xavier
- Centre Hospitalier Spécialisé Henri Laborit, Poitiers, France; CNRS UMR 7295 Centre de Recherches sur la Cognition et l'Apprentissage, Bâtiment A5, 5, rue Théodore Lefebvre, 86000, Poitiers, France.
| | | | - Claudine Laurent-Levinson
- Faculté de Médecine Sorbonne Université, Groupe de Recherche Clinique n°15 - Troubles Psychiatriques et Développement (PSYDEV), 47-83 Boulevard de l'Hôpital, 75651, Paris Cedex 13, France; Centre de Référence des Maladies Rares à Expression Psychiatrique, Department of Child and Adolescent Psychiatry, AP-HP, Hôpital Universitaire de la Pitié-Salpêtrière, 47 - 83 Boulevard de l'Hôpital, 75651, Paris Cedex 13, France.
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19
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Barnes TR, Drake R, Paton C, Cooper SJ, Deakin B, Ferrier IN, Gregory CJ, Haddad PM, Howes OD, Jones I, Joyce EM, Lewis S, Lingford-Hughes A, MacCabe JH, Owens DC, Patel MX, Sinclair JM, Stone JM, Talbot PS, Upthegrove R, Wieck A, Yung AR. Evidence-based guidelines for the pharmacological treatment of schizophrenia: Updated recommendations from the British Association for Psychopharmacology. J Psychopharmacol 2020; 34:3-78. [PMID: 31829775 DOI: 10.1177/0269881119889296] [Citation(s) in RCA: 142] [Impact Index Per Article: 35.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
These updated guidelines from the British Association for Psychopharmacology replace the original version published in 2011. They address the scope and targets of pharmacological treatment for schizophrenia. A consensus meeting was held in 2017, involving experts in schizophrenia and its treatment. They were asked to review key areas and consider the strength of the evidence on the risk-benefit balance of pharmacological interventions and the clinical implications, with an emphasis on meta-analyses, systematic reviews and randomised controlled trials where available, plus updates on current clinical practice. The guidelines cover the pharmacological management and treatment of schizophrenia across the various stages of the illness, including first-episode, relapse prevention, and illness that has proved refractory to standard treatment. It is hoped that the practice recommendations presented will support clinical decision making for practitioners, serve as a source of information for patients and carers, and inform quality improvement.
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Affiliation(s)
- Thomas Re Barnes
- Emeritus Professor of Clinical Psychiatry, Division of Psychiatry, Imperial College London, and Joint-head of the Prescribing Observatory for Mental Health, Centre for Quality Improvement, Royal College of Psychiatrists, London, UK
| | - Richard Drake
- Clinical Lead for Mental Health in Working Age Adults, Health Innovation Manchester, University of Manchester and Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Carol Paton
- Joint-head of the Prescribing Observatory for Mental Health, Centre for Quality Improvement, Royal College of Psychiatrists, London, UK
| | - Stephen J Cooper
- Emeritus Professor of Psychiatry, School of Medicine, Queen's University Belfast, Belfast, UK
| | - Bill Deakin
- Professor of Psychiatry, Neuroscience & Psychiatry Unit, University of Manchester and Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - I Nicol Ferrier
- Emeritus Professor of Psychiatry, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Catherine J Gregory
- Honorary Clinical Research Fellow, University of Manchester and Higher Trainee in Child and Adolescent Psychiatry, Manchester University NHS Foundation Trust, Manchester, UK
| | - Peter M Haddad
- Honorary Professor of Psychiatry, Division of Psychology and Mental Health, University of Manchester, UK and Senior Consultant Psychiatrist, Department of Psychiatry, Hamad Medical Corporation, Doha, Qatar
| | - Oliver D Howes
- Professor of Molecular Psychiatry, Imperial College London and Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Ian Jones
- Professor of Psychiatry and Director, National Centre of Mental Health, Cardiff University, Cardiff, UK
| | - Eileen M Joyce
- Professor of Neuropsychiatry, UCL Queen Square Institute of Neurology, London, UK
| | - Shôn Lewis
- Professor of Adult Psychiatry, Faculty of Biology, Medicine and Health, The University of Manchester, UK, and Mental Health Academic Lead, Health Innovation Manchester, Manchester, UK
| | - Anne Lingford-Hughes
- Professor of Addiction Biology and Honorary Consultant Psychiatrist, Imperial College London and Central North West London NHS Foundation Trust, London, UK
| | - James H MacCabe
- Professor of Epidemiology and Therapeutics, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, and Honorary Consultant Psychiatrist, National Psychosis Service, South London and Maudsley NHS Foundation Trust, Beckenham, UK
| | - David Cunningham Owens
- Professor of Clinical Psychiatry, University of Edinburgh. Honorary Consultant Psychiatrist, Royal Edinburgh Hospital, Edinburgh, UK
| | - Maxine X Patel
- Honorary Clinical Senior Lecturer, King's College London, Institute of Psychiatry, Psychology and Neuroscience and Consultant Psychiatrist, Oxleas NHS Foundation Trust, London, UK
| | - Julia Ma Sinclair
- Professor of Addiction Psychiatry, Faculty of Medicine, University of Southampton, Southampton, UK
| | - James M Stone
- Clinical Senior Lecturer and Honorary Consultant Psychiatrist, King's College London, Institute of Psychiatry, Psychology and Neuroscience and South London and Maudsley NHS Trust, London, UK
| | - Peter S Talbot
- Senior Lecturer and Honorary Consultant Psychiatrist, University of Manchester and Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Rachel Upthegrove
- Professor of Psychiatry and Youth Mental Health, University of Birmingham and Consultant Psychiatrist, Birmingham Early Intervention Service, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - Angelika Wieck
- Honorary Consultant in Perinatal Psychiatry, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Alison R Yung
- Professor of Psychiatry, University of Manchester, School of Health Sciences, Manchester, UK and Centre for Youth Mental Health, University of Melbourne, Australia, and Honorary Consultant Psychiatrist, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
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20
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Morgan C, Knowles G, Hutchinson G. Migration, ethnicity and psychoses: evidence, models and future directions. World Psychiatry 2019; 18:247-258. [PMID: 31496097 PMCID: PMC6732691 DOI: 10.1002/wps.20655] [Citation(s) in RCA: 62] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
There is a large body of research reporting high rates of psychotic disorders among many migrant and minority ethnic groups, particularly in Northern Europe. In the context of increasing migration and consequent cultural diversity in many places worldwide, these findings are a major social and public health concern. In this paper, we take stock of the current state of the art, reviewing evidence on variations in rates of psychoses and putative explanations, including relevant theories and models. We discuss in particular: a) the wide variation in reported rates of psychotic disorders by ethnic group, and b) the evidence implicating social risks to explain this variation, at ecological and individual levels. We go on to set out our proposed socio-developmental model, that posits greater exposure to systemic social risks over the life course, particularly those involving threat, hostility and violence, to explain high rates of psychoses in some migrant and minority ethnic groups. Based on this analysis, the challenge of addressing this social and public health issue needs to be met at multiple levels, including social policy, community initiatives, and mental health service reform.
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Affiliation(s)
- Craig Morgan
- Economic and Social Research Council (ESRC) Centre for Society and Mental Health, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Gemma Knowles
- Economic and Social Research Council (ESRC) Centre for Society and Mental Health, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
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21
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Leung CCY, Gadelrab R, Ntephe CU, McGuire PK, Demjaha A. Clinical Course, Neurobiology and Therapeutic Approaches to Treatment Resistant Schizophrenia. Toward an Integrated View. Front Psychiatry 2019; 10:601. [PMID: 31551822 PMCID: PMC6735262 DOI: 10.3389/fpsyt.2019.00601] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Accepted: 07/29/2019] [Indexed: 12/19/2022] Open
Abstract
Despite considerable psychotherapeutic advancement since the discovery of chlorpromazine, almost one third of patients with schizophrenia remain resistant to dopamine-blocking antipsychotics, and continue to be exposed to unwanted and often disabling side effects, but little if any clinical benefit. Even clozapine, the superior antipsychotic treatment, is ineffective in approximately half of these patients. Thus treatment resistant schizophrenia (TRS), continues to present a major therapeutic challenge to psychiatry. The main impediment to finding novel treatments is the lack of understanding of precise molecular mechanisms leading to TRS. Not only has the neurobiology been enigmatic for decades, but accurate and early detection of patients who are at risk of not responding to dopaminergic blockade remains elusive. Fortunately, recent work has started to unravel some of the neurobiological mechanisms underlying treatment resistance, providing long awaited answers, at least to some extent. Here we focus on the scientific advances in the field, from the clinical course of TRS to neurobiology and available treatment options. We specifically emphasize emerging evidence from TRS imaging and genetic literature that implicates dysregulation in several neurotransmitters, particularly dopamine and glutamate, and in addition genetic and neural alterations that concertedly may lead to the formation of TRS. Finally, we integrate available findings into a putative model of TRS, which may provide a platform for future studies in a bid to open the avenues for subsequent development of effective therapeutics.
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Affiliation(s)
- Cheryl Cheuk-Yan Leung
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology, and Neuroscience (IoPPN), King’s College London, London, United Kingdom
- South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Romayne Gadelrab
- South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | | | - Philip K. McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience (IoPPN), King’s College London, London, United Kingdom
- National Institute for Health Research (NIHR) Biomedical Research Centre (BRC), South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Arsime Demjaha
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience (IoPPN), King’s College London, London, United Kingdom
- National Institute for Health Research (NIHR) Biomedical Research Centre (BRC), South London and Maudsley NHS Foundation Trust, London, United Kingdom
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22
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Kravariti E, Demjaha A, Zanelli J, Ibrahim F, Wise C, MacCabe JH, Reichenberg A, Pilecka I, Morgan K, Fearon P, Morgan C, Doody GA, Donoghue K, Jones PB, Kaçar AŞ, Dazzan P, Lappin J, Murray RM. Neuropsychological function at first episode in treatment-resistant psychosis: findings from the ÆSOP-10 study. Psychol Med 2019; 49:2100-2110. [PMID: 30348234 PMCID: PMC6712950 DOI: 10.1017/s0033291718002957] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Revised: 09/10/2018] [Accepted: 09/20/2018] [Indexed: 01/31/2023]
Abstract
BACKGROUND Neuropsychological investigations can help untangle the aetiological and phenomenological heterogeneity of schizophrenia but have scarcely been employed in the context of treatment-resistant (TR) schizophrenia. No population-based study has examined neuropsychological function in the first-episode of TR psychosis. METHODS We report baseline neuropsychological findings from a longitudinal, population-based study of first-episode psychosis, which followed up cases from index admission to 10 years. At the 10-year follow up patients were classified as treatment responsive or TR after reconstructing their entire case histories. Of 145 cases with neuropsychological data at baseline, 113 were classified as treatment responsive, and 32 as TR at the 10-year follow-up. RESULTS Compared with 257 community controls, both case groups showed baseline deficits in three composite neuropsychological scores, derived from principal component analysis: verbal intelligence and fluency, visuospatial ability and executive function, and verbal memory and learning (p values⩽0.001). Compared with treatment responders, TR cases showed deficits in verbal intelligence and fluency, both in the extended psychosis sample (t = -2.32; p = 0.022) and in the schizophrenia diagnostic subgroup (t = -2.49; p = 0.017). Similar relative deficits in the TR cases emerged in sub-/sensitivity analyses excluding patients with delayed-onset treatment resistance (p values<0.01-0.001) and those born outside the UK (p values<0.05). CONCLUSIONS Verbal intelligence and fluency are impaired in patients with TR psychosis compared with those who respond to treatment. This differential is already detectable - at a group level - at the first illness episode, supporting the conceptualisation of TR psychosis as a severe, pathogenically distinct variant, embedded in aberrant neurodevelopmental processes.
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Affiliation(s)
- Eugenia Kravariti
- Psychosis Studies Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AF, England, UK
| | - Arsime Demjaha
- Psychosis Studies Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AF, England, UK
| | - Jolanta Zanelli
- Psychosis Studies Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AF, England, UK
| | - Fowzia Ibrahim
- Academic Rheumatology Department, School of Immunology & Microbial Sciences, King's College London, Weston Education Centre, 10 Cutcombe Road, London SE5 9RJ, England, UK
| | - Catherine Wise
- Psychosis Studies Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AF, England, UK
| | - James H. MacCabe
- Psychosis Studies Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AF, England, UK
| | - Abraham Reichenberg
- Psychosis Studies Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AF, England, UK
- Environmental Medicine and Public Health Department, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York NY 10029-5674, USA
| | - Izabela Pilecka
- Psychosis Studies Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AF, England, UK
| | - Kevin Morgan
- Department of Psychology, University of Westminster, 115 New Cavendish Street, London W1W 2UW, England, UK
| | - Paul Fearon
- Department of Psychiatry, St. Patricks University Hospital and Trinity College, University of Dublin, James St., Dublin 8, Ireland
| | - Craig Morgan
- Health Service and Population Research Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AF, England, UK
| | - Gillian A. Doody
- Division of Psychiatry and Applied Psychology, Queen's Medical Centre, University of Nottingham, Nottingham NG7 2UH, England, UK
| | - Kim Donoghue
- Addictions Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AF, England, UK
| | - Peter B. Jones
- Department of Psychiatry, University of Cambridge, Herchel Smith Building, Cambridge CB2 0SZ, England, UK
| | - Anil Şafak Kaçar
- Koç University, School of Medicine, Rumelifeneri Yolu 34450 Sarıyer, Istanbul, Turkey
| | - Paola Dazzan
- Psychosis Studies Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AF, England, UK
| | - Julia Lappin
- Psychosis Studies Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AF, England, UK
- UNSW Research Unit for Schizophrenia, School of Psychiatry, The University of New South Wales, Sydney NSW 2052, Australia
| | - Robin M. Murray
- Psychosis Studies Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AF, England, UK
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23
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Quattrone D, Di Forti M, Gayer-Anderson C, Ferraro L, Jongsma HE, Tripoli G, La Cascia C, La Barbera D, Tarricone I, Berardi D, Szöke A, Arango C, Lasalvia A, Tortelli A, Llorca PM, de Haan L, Velthorst E, Bobes J, Bernardo M, Sanjuán J, Santos JL, Arrojo M, Del-Ben CM, Menezes PR, Selten JP, Jones PB, Kirkbride JB, Richards AL, O'Donovan MC, Sham PC, Vassos E, Rutten BPF, van Os J, Morgan C, Lewis CM, Murray RM, Reininghaus U. Transdiagnostic dimensions of psychopathology at first episode psychosis: findings from the multinational EU-GEI study. Psychol Med 2019; 49:1378-1391. [PMID: 30282569 PMCID: PMC6518388 DOI: 10.1017/s0033291718002131] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2018] [Revised: 07/01/2018] [Accepted: 07/24/2018] [Indexed: 12/31/2022]
Abstract
BACKGROUND The value of the nosological distinction between non-affective and affective psychosis has frequently been challenged. We aimed to investigate the transdiagnostic dimensional structure and associated characteristics of psychopathology at First Episode Psychosis (FEP). Regardless of diagnostic categories, we expected that positive symptoms occurred more frequently in ethnic minority groups and in more densely populated environments, and that negative symptoms were associated with indices of neurodevelopmental impairment. METHOD This study included 2182 FEP individuals recruited across six countries, as part of the EUropean network of national schizophrenia networks studying Gene-Environment Interactions (EU-GEI) study. Symptom ratings were analysed using multidimensional item response modelling in Mplus to estimate five theory-based models of psychosis. We used multiple regression models to examine demographic and context factors associated with symptom dimensions. RESULTS A bifactor model, composed of one general factor and five specific dimensions of positive, negative, disorganization, manic and depressive symptoms, best-represented associations among ratings of psychotic symptoms. Positive symptoms were more common in ethnic minority groups. Urbanicity was associated with a higher score on the general factor. Men presented with more negative and less depressive symptoms than women. Early age-at-first-contact with psychiatric services was associated with higher scores on negative, disorganized, and manic symptom dimensions. CONCLUSIONS Our results suggest that the bifactor model of psychopathology holds across diagnostic categories of non-affective and affective psychosis at FEP, and demographic and context determinants map onto general and specific symptom dimensions. These findings have implications for tailoring symptom-specific treatments and inform research into the mood-psychosis spectrum.
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Affiliation(s)
- Diego Quattrone
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, UK
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, UK
| | - Marta Di Forti
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, UK
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, UK
| | - Charlotte Gayer-Anderson
- Department of Health Service and Population Research, Institute of Psychiatry, King's College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK
| | - Laura Ferraro
- Department of Experimental Biomedicine and Clinical Neuroscience, University of Palermo, Via G. La Loggia 1, 90129 Palermo, Italy
| | - Hannah E Jongsma
- Department of Psychiatry, University of Cambridge, Herchel Smith Building for Brain & Mind Sciences, Forvie Site, Robinson Way, Cambridge, CB2 0SZ, UK
| | - Giada Tripoli
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK
| | - Caterina La Cascia
- Department of Experimental Biomedicine and Clinical Neuroscience, University of Palermo, Via G. La Loggia 1, 90129 Palermo, Italy
| | - Daniele La Barbera
- Department of Experimental Biomedicine and Clinical Neuroscience, University of Palermo, Via G. La Loggia 1, 90129 Palermo, Italy
| | - Ilaria Tarricone
- Department of Medical and Surgical Science, Psychiatry Unit, Alma Mater Studiorum Università di Bologna, Viale Pepoli 5, 40126 Bologna, Italy
| | - Domenico Berardi
- Department of Medical and Surgical Science, Psychiatry Unit, Alma Mater Studiorum Università di Bologna, Viale Pepoli 5, 40126 Bologna, Italy
| | - Andrei Szöke
- INSERM, U955, Equipe 15, 51 Avenue de Maréchal de Lattre de Tassigny, 94010 Créteil, France
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM (CIBERSAM), C/Doctor Esquerdo 46, 28007 Madrid, Spain
| | - Antonio Lasalvia
- Section of Psychiatry, Azienda Ospedaliera Universitaria Integrata di Verona, Piazzale L.A. Scuro 10, 37134 Verona, Italy
| | - Andrea Tortelli
- Etablissement Public de Santé Maison Blanche, Paris 75020, France
| | | | - Lieuwe de Haan
- Department of Psychiatry, Early Psychosis Section, Academic Medical Centre, University of Amsterdam, Meibergdreef 5, 1105 AZ Amsterdam, The Netherlands
| | - Eva Velthorst
- Department of Psychiatry, Early Psychosis Section, Academic Medical Centre, University of Amsterdam, Meibergdreef 5, 1105 AZ Amsterdam, The Netherlands
| | - Julio Bobes
- Department of Medicine, Psychiatry Area, School of Medicine, Universidad de Oviedo, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), C/Julián Clavería s/n, 33006 Oviedo, Spain
| | - Miguel Bernardo
- Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital clinic, Department of Medicine, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | - Julio Sanjuán
- Department of Psychiatry, School of Medicine, Universidad de Valencia, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), C/Avda. Blasco Ibáñez 15, 46010 Valencia, Spain
| | - Jose Luis Santos
- Department of Psychiatry, Servicio de Psiquiatría Hospital “Virgen de la Luz”, C/Hermandad de Donantes de Sangre, 16002 Cuenca, Spain
| | - Manuel Arrojo
- Department of Psychiatry, Psychiatric Genetic Group, Instituto de Investigación Sanitaria de Santiago de Compostela, Complejo Hospitalario Universitario de Santiago de Compostela, Spain
| | - Cristina Marta Del-Ben
- Division of Psychiatry, Department of Neuroscience and Behaviour, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Paulo Rossi Menezes
- Department of Preventative Medicine, Faculdade de Medicina FMUSP, University of São Paulo, São Paulo, Brazil
| | - Jean-Paul Selten
- Rivierduinen Institute for Mental Health Care, Sandifortdreef 19, 2333 ZZ Leiden, The Netherlands
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, P.O. Box 616, 6200 MD Maastricht, The Netherlands
| | | | - Peter B Jones
- Department of Psychiatry, University of Cambridge, Herchel Smith Building for Brain & Mind Sciences, Forvie Site, Robinson Way, Cambridge, CB2 0SZ, UK
- CAMEO Early Intervention Service, Cambridgeshire & Peterborough NHS Foundation Trust, Cambridge, CB21 5EF, UK
| | - James B Kirkbride
- Psylife Group, Division of Psychiatry, University College London, 6th Floor, Maple House, 149 Tottenham Court Road, London W1T 7NF, UK
| | - Alexander L Richards
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff CF24 4HQ, UK
| | - Michael C O'Donovan
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff CF24 4HQ, UK
| | - Pak C Sham
- Department of Psychiatry, the University of Hong Kong, Hong Kong, China
- Centre for Genomic Sciences, Li KaShing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Evangelos Vassos
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, UK
| | - Bart PF Rutten
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, P.O. Box 616, 6200 MD Maastricht, The Netherlands
| | - Jim van Os
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, P.O. Box 616, 6200 MD Maastricht, The Netherlands
- Brain Centre Rudolf Magnus, Utrecht University Medical Centre, Utrecht, The Netherlands
| | - Craig Morgan
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, UK
- Department of Health Service and Population Research, Institute of Psychiatry, King's College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK
| | - Cathryn M Lewis
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, UK
| | - Robin M Murray
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, UK
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK
| | - Ulrich Reininghaus
- Department of Health Service and Population Research, Institute of Psychiatry, King's College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, P.O. Box 616, 6200 MD Maastricht, The Netherlands
- Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
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Lopez-Morinigo JD, Di Forti M, Ajnakina O, Wiffen BD, Morgan K, Doody GA, Jones PB, Ayesa-Arriola R, Canal-Rivero M, Crespo-Facorro B, Murray RM, Dazzan P, Morgan C, Dutta R, David AS. Insight and risk of suicidal behaviour in two first-episode psychosis cohorts: Effects of previous suicide attempts and depression. Schizophr Res 2019; 204:80-89. [PMID: 30253893 DOI: 10.1016/j.schres.2018.09.016] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 08/14/2018] [Accepted: 09/15/2018] [Indexed: 01/26/2023]
Abstract
BACKGROUND The role of insight dimensions - illness recognition (IR), symptoms relabelling (SR), treatment compliance (TC) - in suicide risk in first-episode psychosis (FEP) remains unclear. METHOD The AESOP (n = 181) and GAP (n = 112) FEP cohorts were followed-up over 10- and 5 years. Survival analysis modelled time to first suicidal event in relation to baseline scores on the Schedule for the Assessment of Insight, whilst adjusting for demographic, clinical, psychopathological and neuropsychological variables. RESULTS AESOP: those with previous suicide attempts scored higher on IR (7.6 ± 1.9 vs. 5.9 ± 3.0, p < 0.01) and total insight scores (TIS) (17.2 ± 5.0 vs. 13.4 ± 6.7, p = 0.03). IR (r = 0.23, p < 0.01), SR (r = 0.18, p = 0.04) and TC (r = 0.26, p < 0.01) correlated with depression. Univariable analyses: IR (HR = 1.14, 95% CI = 0.98-1.34, p = 0.09), TC (HR = 1.30, 95% CI = 0.99-1.71, p = 0.06) and TIS (HR = 1.06, 95% CI = 0.99-1.13, p = 0.08) were linked with suicidal behaviour. Multivariable regression models: depression (HR = 1.55, 95% CI = 1.22-1.97, p < 0.01) predicted suicidal behaviour. GAP: SR (6.4 ± 3.1 vs. 4.5 ± 3.4, p = 0.03) and TIS (16.8 ± 6.4 vs. 12.8 ± 7.4, p = 0.03) were higher in those with suicidal antecedents. IR (r = 0.32, p < 0.01) and SR (r = 0.27, p = 0.01) correlated with depression. Univariable analyses: TC (HR = 1.36, 95% CI = 1.01-1.83, p = 0.04) and TIS (HR = 1.06, 95% CI = 0.99-1.14, p = 0.08) were associated with suicidal behaviour. Multivariable regression models: previous suicide attempts (HR 5.17, 95% CI 1.32-20.29, p = 0.02) and depression (HR 1.16, 95% CI = 1.00-1.35, p = 0.04) predicted suicidal behaviour. CONCLUSIONS Suicide attempts prior to FEP and depression at that point were associated with baseline insight levels and predicted risk of suicidal behaviour over the follow-up, which was not linked with insight. This may explain the apparent association of insight with suicidality in FEP.
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Affiliation(s)
- Javier-David Lopez-Morinigo
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, London, UK.
| | - Marta Di Forti
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, London, UK
| | - Olesja Ajnakina
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, London, UK
| | - Benjamin D Wiffen
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, London, UK
| | - Kevin Morgan
- Department of Psychology, University of Westminster. London, UK
| | - Gillian A Doody
- Division of Psychiatry, University of Nottingham, Nottingham, UK
| | - Peter B Jones
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Rosa Ayesa-Arriola
- Department of Psychiatry, Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria, Santander, Spain; CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Spain
| | - Manuel Canal-Rivero
- Child and Adolescent Psychiatry and Psychology Department of Hospital Sant Joan de Déu of Barcelona, Spain
| | - Benedicto Crespo-Facorro
- Department of Psychiatry, Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria, Santander, Spain; CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Spain
| | - Robin M Murray
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, London, UK; National Institute for Health Research (NIHR), Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, UK
| | - Paola Dazzan
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, London, UK; National Institute for Health Research (NIHR), Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, UK
| | - Craig Morgan
- National Institute for Health Research (NIHR), Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, UK; Centre for Epidemiology and Public Health, Health Service and Population Research Department, Institute of Psychiatry, King's College London, UK
| | - Rina Dutta
- National Institute for Health Research (NIHR), Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, UK; King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychological Medicine, London, UK
| | - Anthony S David
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, London, UK; National Institute for Health Research (NIHR), Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, UK
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25
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Cratsley K. The Ethical and Empirical Status of Dimensional Diagnosis: Implications for Public Mental Health? NEUROETHICS-NETH 2018. [DOI: 10.1007/s12152-018-9390-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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26
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Demjaha A. On the brink of precision medicine for psychosis: Treating the patient, not the disease: A commentary on: Association between serum levels of glutamate and neurotrophic factors and response to clozapine treatment by Krivoy et al. 2017. Schizophr Res 2018; 193:487-488. [PMID: 28821358 DOI: 10.1016/j.schres.2017.08.011] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2017] [Accepted: 08/09/2017] [Indexed: 12/18/2022]
Affiliation(s)
- Arsime Demjaha
- Department of Psychosis Studies, Biomedical Research Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK.
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27
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Utilising symptom dimensions with diagnostic categories improves prediction of time to first remission in first-episode psychosis. Schizophr Res 2018; 193:391-398. [PMID: 28754583 DOI: 10.1016/j.schres.2017.07.042] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2017] [Revised: 07/19/2017] [Accepted: 07/19/2017] [Indexed: 11/22/2022]
Abstract
There has been much recent debate concerning the relative clinical utility of symptom dimensions versus conventional diagnostic categories in patients with psychosis. We investigated whether symptom dimensions rated at presentation for first-episode psychosis (FEP) better predicted time to first remission than categorical diagnosis over a four-year follow-up. The sample comprised 193 FEP patients aged 18-65years who presented to psychiatric services in South London, UK, between 2006 and 2010. Psychopathology was assessed at baseline with the Positive and Negative Syndrome Scale and five symptom dimensions were derived using Wallwork/Fortgang's model; baseline diagnoses were grouped using DSM-IV codes. Time to start of first remission was ascertained from clinical records. The Bayesian Information Criterion (BIC) was used to find the best fitting accelerated failure time model of dimensions, diagnoses and time to first remission. Sixty percent of patients remitted over the four years following first presentation to psychiatric services, and the average time to start of first remission was 18.3weeks (SD=26.0, median=8). The positive (BIC=166.26), excited (BIC=167.30) and disorganised/concrete (BIC=168.77) symptom dimensions, and a diagnosis of schizophrenia (BIC=166.91) predicted time to first remission. However, a combination of the DSM-IV diagnosis of schizophrenia with all five symptom dimensions led to the best fitting model (BIC=164.35). Combining categorical diagnosis with symptom dimension scores in FEP patients improved the accuracy of predicting time to first remission. Thus our data suggest that the decision to consign symptom dimensions to an annexe in DSM-5 should be reconsidered at the earliest opportunity.
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28
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Abstract
The concept of schizophrenia only covers the 30% poor outcome fraction of a much broader multidimensional psychotic syndrome, yet paradoxically has become the dominant prism through which everything 'psychotic' is observed, even affective states with mild psychosis labelled 'ultra-high risk' (for schizophrenia). The inability of psychiatry to frame psychosis as multidimensional syndromal variation of largely unpredictable course and outcome - within and between individuals - hampers research and recovery-oriented practice. 'Psychosis' remains firmly associated with 'schizophrenia', as evidenced by a vigorous stream of high-impact but non-replicable attempts to 'reverse-engineer' the hypothesized biological disease entity, using case-control paradigms that cannot distinguish between risk for illness onset and risk for poor outcome. In this paper, the main issues surrounding the concept of schizophrenia are described. We tentatively conclude that with the advent of broad spectrum phenotypes covering autism and addiction in DSM5, the prospect for introducing a psychosis spectrum disorder - and modernizing psychiatry - appears to be within reach.
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Affiliation(s)
- S Guloksuz
- Department of Psychiatry and Psychology,Maastricht University Medical Centre,Maastricht,the Netherlands
| | - J van Os
- Department of Psychiatry and Psychology,Maastricht University Medical Centre,Maastricht,the Netherlands
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29
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Abstract
Clinical trials in psychiatry inherit methods for design and statistical analysis from evidence-based medicine. However, trials in other clinical disciplines benefit from a more specific relationship between instruments that measure disease state (e.g. biomarkers, clinical signs), the underlying pathology and diagnosis such that primary outcomes can be readily defined. Trials in psychiatry use diagnosis (i.e. a categorical label for a syndrome) as a proxy for the underlying disorder, and outcomes are defined, for example, as a percentage change in a univariate total score on some clinical instrument. We label this approach to defining outcomes weak aggregation of disease state. Univariate measures are necessary, because statistical methodology is both tractable and well-developed for scalar outcomes, but we show that weak aggregate approaches do not capture disease state sufficiently, potentially leading to loss of information about response to intervention. We demonstrate how multivariate disease state can be captured using geometric concepts of spaces defined over routine clinical instruments, and show how clinically meaningful disease states (e.g. representing different profiles of symptoms, recovery or remission) can be defined as prototypes (geometric locations) in these spaces. Then, we show how to derive univariate (scalar) measures, which capture patient's relationships to these prototypes and argue these represent strong aggregates of disease state that may be a better basis for outcome measures. We demonstrate our proposal using a large publically available dataset. We conclude by discussing the impact of strong aggregates for analyses in traditional and novel trial designs.
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Affiliation(s)
- D W Joyce
- Cognition Schizophrenia and Imaging Laboratory,Department of Psychosis Studies,Institute of Psychiatry, Psychology and Neuroscience, King's College London,De Crespigny Park,London SE5 8AF,PO63,UK
| | - D K Tracy
- Cognition Schizophrenia and Imaging Laboratory,Department of Psychosis Studies,Institute of Psychiatry, Psychology and Neuroscience, King's College London,De Crespigny Park,London SE5 8AF,PO63,UK
| | - S S Shergill
- Cognition Schizophrenia and Imaging Laboratory,Department of Psychosis Studies,Institute of Psychiatry, Psychology and Neuroscience, King's College London,De Crespigny Park,London SE5 8AF,PO63,UK
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30
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Dollfus S, Lyne J. Negative symptoms: History of the concept and their position in diagnosis of schizophrenia. Schizophr Res 2017; 186:3-7. [PMID: 27401529 DOI: 10.1016/j.schres.2016.06.024] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2015] [Accepted: 06/19/2016] [Indexed: 11/18/2022]
Abstract
Current conceptualizations of schizophrenia have been introduced over centuries and continue to progress in recent decades. Symptoms have been divided into several domains, contrasting negative and positive symptoms which are different in their nature, onset, progression and response to treatment. An account of the different historical changes of the concept – essentially nosographic – has led to models attempting to integrate findings for each dimension of the disorder. This paper reviews the history of negative symptoms in diagnosis and how different approaches have been utilised to consider negative symptoms in the concept of schizophrenia. The paper also bridges various international classifications which have evolved and modified the role of negative symptoms in their diagnostic criteria for schizophrenia, which highlights the challenge of defining this disease.
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Affiliation(s)
- Sonia Dollfus
- CHU de Caen, Service de psychiatrie, Centre Esquirol, Caen F-14000, France; Imagerie et Stratégies Thérapeutiques de la Schizophrénie (ISTS), Normandie Univ, Faculté de médecine, Caen F-14000, France; ISTCT, Normandie Univ, UNICAEN, CEA, CNRS,14000 Caen, France.
| | - John Lyne
- Royal College of Surgeons in Ireland and North Dublin Mental Health Service, Ashlin Centre, Beaumont Road, Dublin 9, Ireland; Dublin and East Treatment and Early Care Team, Avila House, Blackrock Business Park, Blackrock, Co., Dublin, Ireland
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31
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Demjaha A, Lappin JM, Stahl D, Patel MX, MacCabe JH, Howes OD, Heslin M, Reininghaus UA, Donoghue K, Lomas B, Charalambides M, Onyejiaka A, Fearon P, Jones P, Doody G, Morgan C, Dazzan P, Murray RM. Antipsychotic treatment resistance in first-episode psychosis: prevalence, subtypes and predictors. Psychol Med 2017; 47:1981-1989. [PMID: 28395674 DOI: 10.1017/s0033291717000435] [Citation(s) in RCA: 176] [Impact Index Per Article: 25.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND We examined longitudinally the course and predictors of treatment resistance in a large cohort of first-episode psychosis (FEP) patients from initiation of antipsychotic treatment. We hypothesized that antipsychotic treatment resistance is: (a) present at illness onset; and (b) differentially associated with clinical and demographic factors. METHOD The study sample comprised 323 FEP patients who were studied at first contact and at 10-year follow-up. We collated clinical information on severity of symptoms, antipsychotic medication and treatment adherence during the follow-up period to determine the presence, course and predictors of treatment resistance. RESULTS From the 23% of the patients, who were treatment resistant, 84% were treatment resistant from illness onset. Multivariable regression analysis revealed that diagnosis of schizophrenia, negative symptoms, younger age at onset, and longer duration of untreated psychosis predicted treatment resistance from illness onset. CONCLUSIONS The striking majority of treatment-resistant patients do not respond to first-line antipsychotic treatment even at time of FEP. Clinicians must be alert to this subgroup of patients and consider clozapine treatment as early as possible during the first presentation of psychosis.
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Affiliation(s)
- A Demjaha
- Institute of Psychiatry, Psychology and Neuroscience, King's College London,London,UK
| | - J M Lappin
- School of Psychiatry, University of New South Wales, Sydney, NSW,Australia
| | - D Stahl
- Department of Biostatistics,Institute of Psychiatry, Psychology and Neuroscience, King's College London,London,UK
| | - M X Patel
- Institute of Psychiatry, Psychology and Neuroscience, King's College London,London,UK
| | - J H MacCabe
- Institute of Psychiatry, Psychology and Neuroscience, King's College London,London,UK
| | - O D Howes
- Institute of Psychiatry, Psychology and Neuroscience, King's College London,London,UK
| | - M Heslin
- Health Service and Population Research Department,Institute of Psychiatry, Psychology and Neuroscience, King's College London,London,UK
| | - U A Reininghaus
- Institute of Psychiatry, Psychology and Neuroscience, King's College London,London,UK
| | - K Donoghue
- Addictions Department,Institute of Psychiatry, Psychology and Neuroscience, King's College London,London,UK
| | - B Lomas
- Institute of Psychiatry, Psychology and Neuroscience, King's College London,London,UK
| | - M Charalambides
- Institute of Psychiatry, Psychology and Neuroscience, King's College London,London,UK
| | - A Onyejiaka
- Institute of Psychiatry, Psychology and Neuroscience, King's College London,London,UK
| | - P Fearon
- Department of Psychiatry,Trinity College,Dublin, Republic ofIreland
| | - P Jones
- Department of Psychiatry,University of Cambridge,Cambridge,UK
| | - G Doody
- Division of Psychiatry,University of Nottingham,Nottingham,UK
| | - C Morgan
- Institute of Psychiatry, Psychology and Neuroscience, King's College London,London,UK
| | - P Dazzan
- Institute of Psychiatry, Psychology and Neuroscience, King's College London,London,UK
| | - R M Murray
- Institute of Psychiatry, Psychology and Neuroscience, King's College London,London,UK
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32
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Demjaha A, Weinstein S, Stahl D, Day F, Valmaggia L, Rutigliano G, De Micheli A, Fusar-Poli P, McGuire P. Formal thought disorder in people at ultra-high risk of psychosis. BJPsych Open 2017; 3:165-170. [PMID: 28713586 PMCID: PMC5509964 DOI: 10.1192/bjpo.bp.116.004408] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2016] [Revised: 06/12/2017] [Accepted: 06/19/2017] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Formal thought disorder is a cardinal feature of psychosis. However, the extent to which formal thought disorder is evident in ultra-high-risk individuals and whether it is linked to the progression to psychosis remains unclear. AIMS Examine the severity of formal thought disorder in ultra-high-risk participants and its association with future psychosis. METHOD The Thought and Language Index (TLI) was used to assess 24 ultra-high-risk participants, 16 people with first-episode psychosis and 13 healthy controls. Ultra-high-risk individuals were followed up for a mean duration of 7 years (s.d.=1.5) to determine the relationship between formal thought disorder at baseline and transition to psychosis. RESULTS TLI scores were significantly greater in the ultra-high-risk group compared with the healthy control group (effect size (ES)=1.2), but lower than in people with first-episode psychosis (ES=0.8). Total and negative TLI scores were higher in ultra-high-risk individuals who developed psychosis, but this was not significant. Combining negative TLI scores with attenuated psychotic symptoms and basic symptoms predicted transition to psychosis (P=0.04; ES=1.04). CONCLUSIONS TLI is beneficial in evaluating formal thought disorder in ultra-high-risk participants, and complements existing instruments for the evaluation of psychopathology in this group. DECLARATION OF INTERESTS None. COPYRIGHT AND USAGE © The Royal College of Psychiatrists 2017. This is an open access article distributed under the terms of the Creative Commons Non-Commercial, No Derivatives (CC BY-NC-ND) license.
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Affiliation(s)
- Arsime Demjaha
- , PhD, Department of Psychosis Studies, Biomedical Research Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Sara Weinstein
- , PhD, Boeing Vancouver Labs, Vancuver, British Columbia, Canada
| | - Daniel Stahl
- , PhD, Department of Biostatistics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Fern Day
- , PhD, Department of Psychosis Studies, Biomedical Research Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Lucia Valmaggia
- , PhD, Department of Psychosis Studies, Biomedical Research Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Grazia Rutigliano
- , MD, Department of Psychosis Studies, Biomedical Research Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK, and Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Andrea De Micheli
- , MD, Department of Psychosis Studies, Biomedical Research Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK, and Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Paolo Fusar-Poli
- , PhD, Department of Psychosis Studies, Biomedical Research Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Philip McGuire
- , PhD, Department of Psychosis Studies, Biomedical Research Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
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33
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Realising stratified psychiatry using multidimensional signatures and trajectories. J Transl Med 2017; 15:15. [PMID: 28100276 PMCID: PMC5241978 DOI: 10.1186/s12967-016-1116-1] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2016] [Accepted: 12/27/2016] [Indexed: 12/21/2022] Open
Abstract
Background
Stratified or personalised medicine targets treatments for groups of individuals with a disorder based on individual heterogeneity and shared factors that influence the likelihood of response. Psychiatry has traditionally defined diagnoses by constellations of co-occurring signs and symptoms that are assigned a categorical label (e.g. schizophrenia). Trial methodology in psychiatry has evaluated interventions targeted at these categorical entities, with diagnoses being equated to disorders. Recent insights into both the nosology and neurobiology of psychiatric disorder reveal that traditional categorical diagnoses cannot be equated with disorders. We argue that current quantitative methodology (1) inherits these categorical assumptions, (2) allows only for the discovery of average treatment response, (3) relies on composite outcome measures and (4) sacrifices valuable predictive information for stratified and personalised treatment in psychiatry. Methods and findings To achieve a truly ‘stratified psychiatry’ we propose and then operationalise two necessary steps: first, a formal multi-dimensional representation of disorder definition and clinical state, and second, the similar redefinition of outcomes as multidimensional constructs that can expose within- and between-patient differences in response. We use the categorical diagnosis of schizophrenia—conceptualised as a label for heterogeneous disorders—as a means of introducing operational definitions of stratified psychiatry using principles from multivariate analysis. We demonstrate this framework by application to the Clinical Antipsychotic Trials of Intervention Effectiveness dataset, showing heterogeneity in both patient clinical states and their trajectories after treatment that are lost in the traditional categorical approach with composite outcomes. We then systematically review a decade of registered clinical trials for cognitive deficits in schizophrenia highlighting existing assumptions of categorical diagnoses and aggregate outcomes while identifying a small number of trials that could be reanalysed using our proposal. Conclusion We describe quantitative methods for the development of a multi-dimensional model of clinical state, disorders and trajectories which practically realises stratified psychiatry. We highlight the potential for recovering existing trial data, the implications for stratified psychiatry in trial design and clinical treatment and finally, describe different kinds of probabilistic reasoning tools necessary to implement stratification.
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34
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Jackson RG, Patel R, Jayatilleke N, Kolliakou A, Ball M, Gorrell G, Roberts A, Dobson RJ, Stewart R. Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction (CRIS-CODE) project. BMJ Open 2017; 7:e012012. [PMID: 28096249 PMCID: PMC5253558 DOI: 10.1136/bmjopen-2016-012012] [Citation(s) in RCA: 118] [Impact Index Per Article: 16.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2016] [Revised: 08/11/2016] [Accepted: 10/04/2016] [Indexed: 01/13/2023] Open
Abstract
OBJECTIVES We sought to use natural language processing to develop a suite of language models to capture key symptoms of severe mental illness (SMI) from clinical text, to facilitate the secondary use of mental healthcare data in research. DESIGN Development and validation of information extraction applications for ascertaining symptoms of SMI in routine mental health records using the Clinical Record Interactive Search (CRIS) data resource; description of their distribution in a corpus of discharge summaries. SETTING Electronic records from a large mental healthcare provider serving a geographic catchment of 1.2 million residents in four boroughs of south London, UK. PARTICIPANTS The distribution of derived symptoms was described in 23 128 discharge summaries from 7962 patients who had received an SMI diagnosis, and 13 496 discharge summaries from 7575 patients who had received a non-SMI diagnosis. OUTCOME MEASURES Fifty SMI symptoms were identified by a team of psychiatrists for extraction based on salience and linguistic consistency in records, broadly categorised under positive, negative, disorganisation, manic and catatonic subgroups. Text models for each symptom were generated using the TextHunter tool and the CRIS database. RESULTS We extracted data for 46 symptoms with a median F1 score of 0.88. Four symptom models performed poorly and were excluded. From the corpus of discharge summaries, it was possible to extract symptomatology in 87% of patients with SMI and 60% of patients with non-SMI diagnosis. CONCLUSIONS This work demonstrates the possibility of automatically extracting a broad range of SMI symptoms from English text discharge summaries for patients with an SMI diagnosis. Descriptive data also indicated that most symptoms cut across diagnoses, rather than being restricted to particular groups.
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Affiliation(s)
- Richard G Jackson
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Rashmi Patel
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Nishamali Jayatilleke
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Anna Kolliakou
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Michael Ball
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Genevieve Gorrell
- Department of Computer Science, University of Sheffield, Sheffield, UK
| | - Angus Roberts
- Department of Computer Science, University of Sheffield, Sheffield, UK
| | - Richard J Dobson
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Robert Stewart
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
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35
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Shevlin M, McElroy E, Bentall RP, Reininghaus U, Murphy J. The Psychosis Continuum: Testing a Bifactor Model of Psychosis in a General Population Sample. Schizophr Bull 2017; 43:133-141. [PMID: 27220965 PMCID: PMC5216850 DOI: 10.1093/schbul/sbw067] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Although the factor structure of psychosis continues to be debated by taxonomists, recent studies have supported a bifactor model consisting of a general psychosis factor and 5 uncorrelated symptom-specific factors. While this model has received support in clinical samples, it has not been tested at the general population level. Analysis was conducted on Wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (N = 34 653). Twenty-two psychotic symptoms were used as observed indicators of psychosis. These items were chosen based on their conceptual similarity to the items used in a similar study based on clinical samples. Confirmatory factor analysis and confirmatory bifactor modeling were used to test a variety of competing models. The best fitting model consisted of a general psychosis factor that was uncorrelated with 5 specific factors: positive, negative, disorganization, mania, and depression. These findings suggest that the bifactor model can be extended to general population samples, supporting the continuity between clinical and subclinical psychotic experiences. Theoretical and practical implications are discussed.
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Affiliation(s)
- Mark Shevlin
- School of Psychology, Ulster University, L'Derry, Northern Ireland;
| | - Eoin McElroy
- School of Psychology, Ulster University, L'Derry, Northern Ireland
| | | | - Ulrich Reininghaus
- Health Service and Population Research Department, King's College London
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, The Netherlands
| | - Jamie Murphy
- School of Psychology, Ulster University, L'Derry, Northern Ireland
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Lawrie SM. Whether "psychosis" is best conceptualized as a continuum or in categories is an empirical, practical and political question. World Psychiatry 2016; 15:125-6. [PMID: 27265697 PMCID: PMC4911765 DOI: 10.1002/wps.20325] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Affiliation(s)
- Stephen M Lawrie
- Department of Psychiatry, University of Edinburgh, Edinburgh, Scotland, UK
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Prasad S, Katina S, Hennessy RJ, Murphy KC, Bowman AW, Waddington JL. Craniofacial dysmorphology in 22q11.2 deletion syndrome by 3D laser surface imaging and geometric morphometrics: illuminating the developmental relationship to risk for psychosis. Am J Med Genet A 2016; 167A:529-36. [PMID: 25691406 PMCID: PMC4737262 DOI: 10.1002/ajmg.a.36893] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2014] [Accepted: 10/31/2014] [Indexed: 11/17/2022]
Abstract
Persons with 22q11.2 deletion syndrome (22q11.2DS) are characterized inter alia by facial dysmorphology and greatly increased risk for psychotic illness. Recent studies indicate facial dysmorphology in adults with schizophrenia. This study evaluates the extent to which the facial dysmorphology of 22q11.2DS is similar to or different from that evident in schizophrenia. Twenty‐one 22q11.2DS‐sibling control pairs were assessed using 3D laser surface imaging. Geometric morphometrics was applied to 30 anatomical landmarks, 480 geometrically homologous semi‐landmarks on curves and 1720 semi‐landmarks interpolated on each 3D facial surface. Principal component (PC) analysis of overall shape space indicated PC2 to strongly distinguish 22q11.2DS from controls. Visualization of PC2 indicated 22q11.2DS and schizophrenia to be similar in terms of overall widening of the upper face, lateral displacement of the eyes/orbits, prominence of the cheeks, narrowing of the lower face, narrowing of nasal prominences and posterior displacement of the chin; they differed in terms of facial length (increased in 22q11.2DS, decreased in schizophrenia), mid‐face and nasal prominences (displaced upwards and outwards in 22q11.2DS, less prominent in schizophrenia); lips (more prominent in 22q11.2DS; less prominent in schizophrenia) and mouth (open mouth posture in 22q11.2DS; closed mouth posture in schizophrenia). These findings directly implicate dysmorphogenesis in a cerebral‐craniofacial domain that is common to 22q11.2DS and schizophrenia and which may repay further clinical and genetic interrogation in relation to the developmental origins of psychotic illness. © 2015 The Authors. American Journal of Medical Genetics Part A Published by Wiley Periodicals, Inc.
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Affiliation(s)
- Sarah Prasad
- Department of Psychiatry, Royal College of Surgeons in Ireland, Beaumont Hospital, Dublin, Ireland
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38
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Ajnakina O, Trotta A, Oakley-Hannibal E, Di Forti M, Stilo SA, Kolliakou A, Gardner-Sood P, Gaughran F, David AS, Dazzan P, Pariante C, Mondelli V, Morgan C, Vassos E, Murray RM, Fisher HL. Impact of childhood adversities on specific symptom dimensions in first-episode psychosis. Psychol Med 2016; 46:317-326. [PMID: 26383785 DOI: 10.1017/s0033291715001816] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
BACKGROUND The relationship between childhood adversity (CA) and psychotic disorder is well documented. As the adequacy of the current categorical diagnosis of psychosis is being increasingly questioned, we explored independent associations between different types of CA and specific psychotic symptom dimensions in a well-characterized sample of first-episode psychosis (FEP) patients. METHOD This study involved 236 FEP cases aged 18-65 years who presented for the first time to psychiatric services in South London, UK. Psychopathology was assessed with the Positive and Negative Syndrome Scale and confirmatory factor analysis was used to evaluate the statistical fit of the Wallwork/Fortgang five-factor model of psychosis. CA prior to 17 years of age (physical abuse, sexual abuse, parental separation, parental death, and being taken into care) was retrospectively assessed using the Childhood Experience of Care and Abuse Questionnaire. RESULTS Childhood sexual abuse [β = 0.96, 95% confidence interval (CI) 0.40-1.52], childhood physical abuse (β = 0.48, 95% CI 0.03-0.93) and parental separation (β = 0.60, 95% CI 0.10-1.11) showed significant associations with the positive dimension; while being taken into care was associated with the excited dimension (β = 0.36, 95% CI 0.08-0.65), independent of the other types of CA. No significant associations were found between parental death and any of the symptom dimensions. CONCLUSIONS A degree of specificity was found in the relationships between different types of CA and psychosis symptom dimensions in adulthood, suggesting that distinct pathways may be involved in the CA-psychosis association. These potentially different routes to developing psychosis merit further empirical and theoretical exploration.
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Affiliation(s)
- O Ajnakina
- Department of Psychosis Studies,Institute of Psychiatry, Psychology & Neuroscience, King's College London,London,UK
| | - A Trotta
- Department of Psychosis Studies,Institute of Psychiatry, Psychology & Neuroscience, King's College London,London,UK
| | - E Oakley-Hannibal
- Department of Psychosis Studies,Institute of Psychiatry, Psychology & Neuroscience, King's College London,London,UK
| | - M Di Forti
- MRC Social, Genetic & Developmental Psychiatry Centre,Institute of Psychiatry, Psychology & Neuroscience, King's College London,London,UK
| | - S A Stilo
- Department of Psychosis Studies,Institute of Psychiatry, Psychology & Neuroscience, King's College London,London,UK
| | - A Kolliakou
- Department of Psychological Medicine,Institute of Psychiatry, Psychology & Neuroscience,King's College London,London,UK
| | - P Gardner-Sood
- Department of Psychosis Studies,Institute of Psychiatry, Psychology & Neuroscience, King's College London,London,UK
| | - F Gaughran
- Department of Psychosis Studies,Institute of Psychiatry, Psychology & Neuroscience, King's College London,London,UK
| | - A S David
- Department of Psychosis Studies,Institute of Psychiatry, Psychology & Neuroscience, King's College London,London,UK
| | - P Dazzan
- Department of Psychosis Studies,Institute of Psychiatry, Psychology & Neuroscience, King's College London,London,UK
| | - C Pariante
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London,London,UK
| | - V Mondelli
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London,London,UK
| | - C Morgan
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London,London,UK
| | - E Vassos
- MRC Social, Genetic & Developmental Psychiatry Centre,Institute of Psychiatry, Psychology & Neuroscience, King's College London,London,UK
| | - R M Murray
- Department of Psychosis Studies,Institute of Psychiatry, Psychology & Neuroscience, King's College London,London,UK
| | - H L Fisher
- MRC Social, Genetic & Developmental Psychiatry Centre,Institute of Psychiatry, Psychology & Neuroscience, King's College London,London,UK
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Heslin M, Lomas B, Lappin JM, Donoghue K, Reininghaus U, Onyejiaka A, Croudace T, Jones PB, Murray RM, Fearon P, Dazzan P, Morgan C, Doody GA. Diagnostic change 10 years after a first episode of psychosis. Psychol Med 2015; 45:2757-2769. [PMID: 25936425 PMCID: PMC4595854 DOI: 10.1017/s0033291715000720] [Citation(s) in RCA: 67] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2014] [Revised: 03/19/2015] [Accepted: 03/24/2015] [Indexed: 11/20/2022]
Abstract
BACKGROUND A lack of an aetiologically based nosology classification has contributed to instability in psychiatric diagnoses over time. This study aimed to examine the diagnostic stability of psychosis diagnoses using data from an incidence sample of psychosis cases, followed up after 10 years and to examine those baseline variables which were associated with diagnostic change. METHOD Data were examined from the ÆSOP and ÆSOP-10 studies, an incidence and follow-up study, respectively, of a population-based cohort of first-episode psychosis cases from two sites. Diagnosis was assigned using ICD-10 and DSM-IV-TR. Diagnostic change was examined using prospective and retrospective consistency. Baseline variables associated with change were examined using logistic regression and likelihood ratio tests. RESULTS Slightly more (59.6%) cases had the same baseline and lifetime ICD-10 diagnosis compared with DSM-IV-TR (55.3%), but prospective and retrospective consistency was similar. Schizophrenia, psychotic bipolar disorder and drug-induced psychosis were more prospectively consistent than other diagnoses. A substantial number of cases with other diagnoses at baseline (ICD-10, n = 61; DSM-IV-TR, n = 76) were classified as having schizophrenia at 10 years. Many variables were associated with change to schizophrenia but few with overall change in diagnosis. CONCLUSIONS Diagnoses other than schizophrenia should to be regarded as potentially provisional.
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Affiliation(s)
- M. Heslin
- Centre for Economics of Mental and Physical
Health, King's College London,
London, UK
| | - B. Lomas
- Division of Psychiatry,
University of Nottingham, Nottingham,
UK
| | - J. M. Lappin
- Department of Psychiatry,
University of New South Wales, Sydney,
Australia
- Psychosis Studies Department,
King's College London, London,
UK
| | - K. Donoghue
- Addictions Department,
King's College London, London,
UK
| | - U. Reininghaus
- Centre for Epidemiology and Public
Health, King's College London,
London, UK
- Department of Psychiatry and Psychology,
School for Mental Health and Neuroscience, Maastricht
University, Maastricht, The
Netherlands
- NIHR Collaboration for Leadership in Applied
Health Research & Care, Cambridge,
UK
| | - A. Onyejiaka
- Department of Psychology,
King's College London, London,
UK
| | - T. Croudace
- School of Nursing and Midwifery,
College of Medicine, Dentistry and Nursing, University
of Dundee, Dundee, UK
| | - P. B. Jones
- Department of Psychiatry,
University of Cambridge, Cambridge,
UK
| | - R. M. Murray
- Psychosis Studies Department,
King's College London, London,
UK
| | - P. Fearon
- Department of Psychiatry,
Trinity College, Dublin,
Republic of Ireland
| | - P. Dazzan
- Psychosis Studies Department,
King's College London, London,
UK
| | - C. Morgan
- Centre for Epidemiology and Public
Health, King's College London,
London, UK
| | - G. A. Doody
- Division of Psychiatry,
University of Nottingham, Nottingham,
UK
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Lyne J, Renwick L, O'Donoghue B, Kinsella A, Malone K, Turner N, O'Callaghan E, Clarke M. Negative symptom domain prevalence across diagnostic boundaries: The relevance of diagnostic shifts. Psychiatry Res 2015; 228:347-54. [PMID: 26162655 DOI: 10.1016/j.psychres.2015.05.086] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2014] [Revised: 04/26/2015] [Accepted: 05/20/2015] [Indexed: 11/20/2022]
Abstract
Negative symptoms are included in diagnostic manuals as part of criteria for schizophrenia spectrum psychoses only, however some studies have found their presence in other diagnoses. This study sought to clarify negative symptom domain prevalence across diagnostic categories, while investigating whether negative symptoms predicted diagnostic shift over time. Scale for the Assessment of Negative Symptoms (SANS) data were collected at first presentation in 197 individuals presenting with first episode psychosis and again at one year follow-up assessment. Negative symptoms were highest among individuals with schizophrenia and among those whose diagnosis shifted from non-schizophrenia spectrum at baseline to schizophrenia spectrum at follow-up. In a non-schizophrenia spectrum group negative symptoms at baseline were not a significant predictor of diagnostic shift to schizophrenia spectrum diagnoses. The study suggests negative symptoms can present among individuals with non-schizophrenia spectrum diagnoses, although this is most relevant for individuals following diagnostic shift from non-schizophrenia spectrum to schizophrenia spectrum diagnoses. The findings support introduction of a negative symptom dimension when describing a range of psychotic illnesses, and indicate that further research investigating the evolution of negative symptoms in non-schizophrenia diagnoses is needed.
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Affiliation(s)
- John Lyne
- Dublin and East Treatment and Early Care Team (DETECT) Services, Blackrock, Co. Dublin, Ireland; College of Life Sciences, University College Dublin, Belfield, Dublin 4, Ireland; Centre for Support and Training in Analysis and Research (CSTAR), University College Dublin, Belfield, Dublin 4, Ireland; The School of Psychotherapy, St. Vincent's University Hospital/School of Medicine and Medical Science, University College Dublin, Belfield, Dublin 4, Ireland.
| | - Laoise Renwick
- Dublin and East Treatment and Early Care Team (DETECT) Services, Blackrock, Co. Dublin, Ireland; College of Life Sciences, University College Dublin, Belfield, Dublin 4, Ireland; Centre for Support and Training in Analysis and Research (CSTAR), University College Dublin, Belfield, Dublin 4, Ireland; The School of Psychotherapy, St. Vincent's University Hospital/School of Medicine and Medical Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Brian O'Donoghue
- Dublin and East Treatment and Early Care Team (DETECT) Services, Blackrock, Co. Dublin, Ireland; College of Life Sciences, University College Dublin, Belfield, Dublin 4, Ireland; Centre for Support and Training in Analysis and Research (CSTAR), University College Dublin, Belfield, Dublin 4, Ireland; The School of Psychotherapy, St. Vincent's University Hospital/School of Medicine and Medical Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Anthony Kinsella
- Dublin and East Treatment and Early Care Team (DETECT) Services, Blackrock, Co. Dublin, Ireland; Centre for Support and Training in Analysis and Research (CSTAR), University College Dublin, Belfield, Dublin 4, Ireland; The School of Psychotherapy, St. Vincent's University Hospital/School of Medicine and Medical Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Kevin Malone
- Centre for Support and Training in Analysis and Research (CSTAR), University College Dublin, Belfield, Dublin 4, Ireland; The School of Psychotherapy, St. Vincent's University Hospital/School of Medicine and Medical Science, University College Dublin, Belfield, Dublin 4, Ireland; Department of Psychiatry, Psychotherapy and Mental Health Research, St. Vincent's University Hospital/School of Medicine and Medical Science, University College Dublin, Elm Park, Dublin 4, Ireland
| | - Niall Turner
- Dublin and East Treatment and Early Care Team (DETECT) Services, Blackrock, Co. Dublin, Ireland; Centre for Support and Training in Analysis and Research (CSTAR), University College Dublin, Belfield, Dublin 4, Ireland; The School of Psychotherapy, St. Vincent's University Hospital/School of Medicine and Medical Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Eadbhard O'Callaghan
- Dublin and East Treatment and Early Care Team (DETECT) Services, Blackrock, Co. Dublin, Ireland; Centre for Support and Training in Analysis and Research (CSTAR), University College Dublin, Belfield, Dublin 4, Ireland; The School of Psychotherapy, St. Vincent's University Hospital/School of Medicine and Medical Science, University College Dublin, Belfield, Dublin 4, Ireland; School of Medicine and Medical Science, University College Dublin, Belfield, Dublin 4, Ireland; St. John of God Community Services Ltd., Blackrock, Co. Dublin, Ireland
| | - Mary Clarke
- Dublin and East Treatment and Early Care Team (DETECT) Services, Blackrock, Co. Dublin, Ireland; Centre for Support and Training in Analysis and Research (CSTAR), University College Dublin, Belfield, Dublin 4, Ireland; The School of Psychotherapy, St. Vincent's University Hospital/School of Medicine and Medical Science, University College Dublin, Belfield, Dublin 4, Ireland; School of Medicine and Medical Science, University College Dublin, Belfield, Dublin 4, Ireland; St. John of God Community Services Ltd., Blackrock, Co. Dublin, Ireland
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Murray RM, Sideli L, LA Cascia C, LA Barbera D. Bridging the gap between research into biological and psychosocial models of psychosis. SHANGHAI ARCHIVES OF PSYCHIATRY 2015; 27:139-43. [PMID: 26300595 PMCID: PMC4526825 DOI: 10.11919/j.issn.1002-0829.215067] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/08/2015] [Accepted: 06/10/2015] [Indexed: 01/03/2023]
Abstract
Summary Paul Bebbington’s recent Special Article provides an excellent synthesis of recent advances in
psychosocial research on psychosis. However, we doubt that a model based solely on social epidemiology
and cognitive theory can totally describe psychosis, and to be fair, Bebbington does not suggest that it
does. A complete model must also incorporate what we have learned from non-social epidemiology,
neuroscience, and genetics. Evidence indicates that both the social risk factors that interest Bebbington
and biological risk factors, such as abuse of stimulants and cannabis, can provoke psychotic symptoms by
dysregulating striatal dopamine. The role of neurodevelopmental deviance also needs to be considered in
the etiology of schizophrenia-like psychosis. Moreover, the striking advances in our understanding of the
genetic architecture of psychosis open an exciting door into studies examining gene-environment correlation
and gene-environment interaction. In short, Bebbington demonstrates the value of cognitive and social
researchers talking to each other, but the occasional chat with the more biologically inclined could produce a
more comprehensive model.
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Affiliation(s)
- Robin M Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
| | - Lucia Sideli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom. ; Section of Psychiatry, Department of Experimental biomedicine and clinical neuroscience, School of Medicine and Surgery, University of Palermo, Italy
| | - Caterina LA Cascia
- Section of Psychiatry, Department of Experimental biomedicine and clinical neuroscience, School of Medicine and Surgery, University of Palermo, Italy
| | - Daniele LA Barbera
- Section of Psychiatry, Department of Experimental biomedicine and clinical neuroscience, School of Medicine and Surgery, University of Palermo, Italy
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Sanchez-Gistau V, Baeza I, Arango C, González-Pinto A, de la Serna E, Parellada M, Graell M, Paya B, Llorente C, Castro-Fornieles J. The affective dimension of early-onset psychosis and its relationship with suicide. J Child Psychol Psychiatry 2015; 56:747-755. [PMID: 25256792 DOI: 10.1111/jcpp.12332] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/01/2014] [Indexed: 11/30/2022]
Abstract
BACKGROUND The affective dimension has scarcely been studied in early-onset psychosis. Our aims were to investigate the prevalence and type of affective symptoms in the prodromal and acute phases of early-onset psychosis and to examine their relationship with suicide. We also sought to establish whether the presence of premorbid antecedents or the presence of affective symptoms during the prodromal and acute phase might predict a later diagnosis of bipolar disorder (BP) or schizophrenia (SZ). METHOD Participants were 95 youths, aged 9-17 years, experiencing a first episode of a psychotic disorder (FEP) according to DSM-IV criteria. Prodromal affective symptoms in the year prior to the onset of full-blown psychosis were assessed by means of the K-SADS. Affective symptoms during the acute episode were evaluated using the Hamilton Depression Rating Scale and the Young Mania Rating Scale. Suicidality was assessed during the acute episode and at 6 and 12 months. RESULTS Half of the patients experienced affective symptoms during the prodrome, with depressive symptoms being the most frequently reported. During the acute episode, 23.2% presented depressive, 41.4% mixed and 18.9% manic symptoms. After logistic regression analysis, only the presence of depressive symptoms was significantly associated with suicidality during the 12 months following the FEP. Neither early premorbid antecedents nor the prevalence or type of affective symptoms during the FEP predicted a diagnosis of BP or SZ at 12 months. However, both depressive and manic prodromal symptoms were associated with a later diagnosis of BP. CONCLUSIONS The FEP of both SZ and BP is preceded by an identifiable prodromal phase. Early detection programs should target young people at clinical risk for the extended psychosis phenotype. The high prevalence of affective symptoms during the early phases of psychosis may encourage clinicians to identify and treat them in order to prevent suicide behaviour.
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Affiliation(s)
- Vanessa Sanchez-Gistau
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic of Barcelona, Institute Clinic of Neurosciences, University of Barcelona, Barcelona, 2009-SGR-1119, Generalitat de Catalunya, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Inmaculada Baeza
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic of Barcelona, Institute Clinic of Neurosciences, University of Barcelona, Barcelona, 2009-SGR-1119, Generalitat de Catalunya, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Celso Arango
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain.,Adolescent Unit, Department of Psychiatry, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Ana González-Pinto
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain.,Department of Psychiatry, Hospital Santiago Apóstol, EHU/University of the Basque Country, Vitoria, Spain
| | - Elena de la Serna
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain
| | - Mara Parellada
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain.,Adolescent Unit, Department of Psychiatry, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Montserrat Graell
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Infantil Universitario Niño Jesús, Madrid, Spain
| | - Beatriz Paya
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain.,Child and Adolescent Mental Health Unit, Department of Psychiatry and Psychology, Hospital Universitario Marqués de Valdecilla, Santander, Spain
| | - Cloe Llorente
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain.,Adolescent Unit, Department of Psychiatry, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Josefina Castro-Fornieles
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic of Barcelona, Institute Clinic of Neurosciences, University of Barcelona, Barcelona, 2009-SGR-1119, Generalitat de Catalunya, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
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43
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Ciufolini S, Morgan C, Morgan K, Fearon P, Boydell J, Hutchinson G, Demjaha A, Girardi P, Doody GA, Jones PB, Murray R, Dazzan P. Self esteem and self agency in first episode psychosis: Ethnic variation and relationship with clinical presentation. Psychiatry Res 2015; 227:213-8. [PMID: 25868868 DOI: 10.1016/j.psychres.2015.03.030] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2014] [Revised: 02/28/2015] [Accepted: 03/03/2015] [Indexed: 11/15/2022]
Abstract
The impact of self esteem and Locus of Control (LoC) on clinical presentation across different ethnic groups of patients at their first psychotic episode (FEP) remains unknown. We explored these constructs in 257 FEP patients (Black n=95; White British n=119) and 341 controls (Black n=70; White British n=226), and examined their relationship with symptom dimensions and pathways to care. FEP patients presented lower self-esteem and a more external LoC than controls. Lower self esteem was associated with a specific symptoms profile (more manic and less negative symptoms), and with factors predictive of poorer outcome (longer duration of untreated psychosis (DUP) and compulsory mode of admission). A more external LoC was associated with more negative symptoms and an insidious onset. When we explored these constructs across different ethnic groups, we found that Black patients had significantly higher self esteem than White British. This was again associated with specific symptom profiles. While British patients with lower self esteem were more likely to report delusions, hallucinations and negative symptoms, Black patients with a lower self esteem showed less disorganization symptoms. These findings suggest that self esteem and LoC may represent one way in which social experiences and contexts differentially influence vulnerable individuals along the pathway to psychosis.
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Affiliation(s)
- Simone Ciufolini
- King׳s College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, London, UK; National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King׳s College London, London, UK.
| | - Craig Morgan
- King׳s College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, London, UK
| | - Kevin Morgan
- University of Westminster, Department of Psychology, London, UK
| | - Paul Fearon
- Trinity College Dublin, Department of Psychiatry, Dublin, Ireland
| | - Jane Boydell
- King׳s College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, London, UK
| | - Gerard Hutchinson
- University of West Indies, Department of Psychiatry, St. Augustine, Trinidad and Tobago
| | - Arsjme Demjaha
- King׳s College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, London, UK
| | - Paolo Girardi
- University of La Sapienza, Department of Psychiatry, Rome, Italy
| | - Gill A Doody
- University of Nottingham, Department of Psychiatry, Nottingham, UK
| | - Peter B Jones
- University of Cambridge, Department of Psychiatry, Addenbrooke׳s Hospital, Cambridge, UK
| | - Robin Murray
- King׳s College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, London, UK
| | - Paola Dazzan
- King׳s College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, London, UK; National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King׳s College London, London, UK
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44
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So SHW, Chan AP, Chong CSY, Wong MHM, Lo WTL, Chung DWS, Chan SS. Metacognitive training for delusions (MCTd): effectiveness on data-gathering and belief flexibility in a Chinese sample. Front Psychol 2015; 6:730. [PMID: 26124726 PMCID: PMC4467068 DOI: 10.3389/fpsyg.2015.00730] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2015] [Accepted: 05/16/2015] [Indexed: 01/06/2023] Open
Abstract
Metacognitive training (MCT) was developed to promote awareness of reasoning biases among patients with schizophrenia. While MCT has been translated into 31 languages, most MCT studies were conducted in Europe, including newer evidence recommending an individualized approach of delivery. As reasoning biases covered in MCT are separable processes and are associated with different symptoms, testing the effect of selected MCT modules would help to develop a targeted and cost-effective intervention for specific symptoms and associated mechanisms. This study tested the efficacy of a four-session metacognitive training for delusions, MCTd (in Traditional Chinese with cultural adaptations, provided individually), as an adjunct to antipsychotics in reducing severity and conviction of delusions, jumping to conclusions (JTC) bias and belief inflexibility. Forty-four patients with delusions were randomized into the MCTd or the wait-list control condition. Patients on wait-list received the same MCTd after 4 weeks of treatment as usual (TAU). Assessment interviews took place before and after the treatment, and at 4-week follow-up. There was an additional baseline assessment for the controls. JTC and belief flexibility were measured by the beads tasks and the Maudsley Assessment of Delusions Scale. Attendance rate of the MCTd was satisfactory (84.5%). Compared to TAU, there was a greater reduction in psychotic symptoms, delusional severity and conviction following MCTd. There was a large treatment effect size in improvement in belief flexibility. Improvement in reaction to hypothetical contradiction predicted treatment effect in positive symptoms and delusions. JTC bias was reduced following MCTd, although the treatment effect was not significantly larger than TAU. Our results support the use of process-based interventions that target psychological mechanisms underlying specific psychotic symptoms as adjuncts to more conventional approaches.
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Affiliation(s)
- Suzanne Ho-Wai So
- Department of Psychology, The Chinese University of Hong Kong Hong Kong, China
| | - Arthur P Chan
- Early Intervention Service for First Episode Psychosis, Kwai Chung Hospital Hong Kong, China
| | | | | | - William Tak-Lam Lo
- Early Intervention Service for First Episode Psychosis, Kwai Chung Hospital Hong Kong, China
| | | | - Sandra S Chan
- Department of Psychiatry, The Chinese University of Hong Kong Hong Kong, China
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45
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Affiliation(s)
- Richard Bentall
- Department of Psychological Sciences, Liverpool UniversityLiverpool, L69 3GL, UK
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46
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Brett CMC, Peters ER, McGuire PK. Which psychotic experiences are associated with a need for clinical care? Eur Psychiatry 2015; 30:648-54. [PMID: 25614438 DOI: 10.1016/j.eurpsy.2014.12.005] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2014] [Revised: 12/11/2014] [Accepted: 12/12/2014] [Indexed: 10/24/2022] Open
Abstract
BACKGROUND The aims of this study were to identify (1) the factor structure of anomalous experiences across the psychosis continuum; (2) qualitative and quantitative differences in psychotic experiences (PEs) between "non need-for-care" and two clinical groups: psychosis patients and individuals at ultra high risk (UHR) of psychosis. We aimed to distinguish which types of experiences would be related to malign (need-for-care and/or help-seeking) versus benign outcomes. METHODS Component scores obtained from a Principal Components Analysis of PEs from lifetime scores on the Appraisals of Anomalous Experience Inventory (Brett et al., 2007) were compared across 96 participants: patients diagnosed with a psychotic disorder (n=37), help-seeking UHR people (n=21), and non-clinical individuals presenting with enduring PEs (n=38). RESULTS A five-component structure provided the best solution, comprising dissociative-type experiences, subjective cognitive deficits, and three separate components relating to "positive" symptoms. All groups reported "positive" experiences, such as ideas of reference and hallucinations, with the non-clinical group displaying more PEs in the Paranormal/Hallucinatory component than both clinical groups. "Cognitive/Attentional anomalies" was the only component where the clinical groups reported significantly more anomalies than the non-clinical group. However psychosis patients reported more frequent first-rank type symptoms and "hypomanic" type PEs than the other groups. DISCUSSION "Positive" PEs were common across the psychosis spectrum, although first-rank type symptoms were particularly marked in participants diagnosed with a psychotic disorder. Help-seeking and need-for-care were associated with the presence of subjective cognitive disturbances. These findings suggest that anomalies of cognition and attention may be more relevant to poorer outcomes than the presence of anomalous experiences.
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Affiliation(s)
- C M C Brett
- King's College London, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), Department of Psychosis Studies, London, United Kingdom; Sussex Partnership NHS Foundation Trust, Brighton, United Kingdom
| | - E R Peters
- King's College London, IoPPN, Department of Psychology, PO77, HWB, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London SE5 8AF, United Kingdom; National Institute for Health Research (NIHR) Biomedical Research Centre for Mental Health at South London and Maudsley NHS Foundation Trust, London, United Kingdom.
| | - P K McGuire
- King's College London, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), Department of Psychosis Studies, London, United Kingdom; National Institute for Health Research (NIHR) Biomedical Research Centre for Mental Health at South London and Maudsley NHS Foundation Trust, London, United Kingdom; OASIS, Psychosis Clinical Academic Group, South London and Maudsley NHS Foundation Trust, London, United Kingdom
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Oher FJ, Demjaha A, Jackson D, Morgan C, Dazzan P, Morgan K, Boydell J, Doody GA, Murray RM, Bentall RP, Jones PB, Kirkbride JB. The effect of the environment on symptom dimensions in the first episode of psychosis: a multilevel study. Psychol Med 2014; 44:2419-2430. [PMID: 24443807 PMCID: PMC4070408 DOI: 10.1017/s0033291713003188] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2013] [Revised: 12/06/2013] [Accepted: 12/06/2013] [Indexed: 02/02/2023]
Abstract
BACKGROUND The extent to which different symptom dimensions vary according to epidemiological factors associated with categorical definitions of first-episode psychosis (FEP) is unknown. We hypothesized that positive psychotic symptoms, including paranoid delusions and depressive symptoms, would be more prominent in more urban environments. METHOD We collected clinical and epidemiological data on 469 people with FEP (ICD-10 F10-F33) in two centres of the Aetiology and Ethnicity in Schizophrenia and Other Psychoses (AESOP) study: Southeast London and Nottinghamshire. We used multilevel regression models to examine neighbourhood-level and between-centre differences in five symptom dimensions (reality distortion, negative symptoms, manic symptoms, depressive symptoms and disorganization) underpinning Schedules for Clinical Assessment in Neuropsychiatry (SCAN) Item Group Checklist (IGC) symptoms. Delusions of persecution and reference, along with other individual IGC symptoms, were inspected for area-level variation. RESULTS Reality distortion [estimated effect size (EES) 0.15, 95% confidence interval (CI) 0.06-0.24] and depressive symptoms (EES 0.21, 95% CI 0.07-0.34) were elevated in people with FEP living in more urban Southeast London but disorganized symptomatology was lower (EES -0.06, 95% CI -0.10 to -0.02), after controlling for confounders. Delusions of persecution were not associated with increased neighbourhood population density [adjusted odds ratio (aOR) 1.01, 95% CI 0.83-1.23], although an effect was observed for delusions of reference (aOR 1.41, 95% CI 1.12-1.77). Hallucinatory symptoms showed consistent elevation in more densely populated neighbourhoods (aOR 1.32, 95% CI 1.09-1.61). CONCLUSIONS In people experiencing FEP, elevated levels of reality distortion and depressive symptoms were observed in more urban, densely populated neighbourhoods. No clear association was observed for paranoid delusions; hallucinations were consistently associated with increased population density. These results suggest that urban environments may affect the syndromal presentation of psychotic disorders.
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Affiliation(s)
- F. J. Oher
- Department of Psychiatry, Herchel Smith Building for
Brain and Mind Sciences, University of Cambridge,
UK
- Faculty of Medicine, Lund
University, Sweden
| | - A. Demjaha
- NIHR Biomedical Research Centre, Psychosis Studies
Department, Institute of Psychiatry, King's College
London, UK
| | - D. Jackson
- MRC Biostatistics Unit,
University of Cambridge, UK
| | - C. Morgan
- NIHR Biomedical Research Centre and Section of
Social Psychiatry, Health Service and Population Research Department,
Institute of Psychiatry, King's College London,
UK
| | - P. Dazzan
- NIHR Biomedical Research Centre, Psychosis Studies
Department, Institute of Psychiatry, King's College
London, UK
| | - K. Morgan
- Department of Psychology,
University of Westminster, London,
UK
| | - J. Boydell
- NIHR Biomedical Research Centre, Psychosis Studies
Department, Institute of Psychiatry, King's College
London, UK
| | - G. A. Doody
- Division of Psychiatry,
University of Nottingham, UK
| | - R. M. Murray
- NIHR Biomedical Research Centre, Psychosis Studies
Department, Institute of Psychiatry, King's College
London, UK
| | - R. P. Bentall
- Institute of Psychology, Health and
Society, University of Liverpool,
UK
| | - P. B. Jones
- Department of Psychiatry, Herchel Smith Building for
Brain and Mind Sciences, University of Cambridge,
UK
| | - J. B. Kirkbride
- Department of Psychiatry, Herchel Smith Building for
Brain and Mind Sciences, University of Cambridge,
UK
- Division of Psychiatry,
University College London, UCL
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Bentall RP, de Sousa P, Varese F, Wickham S, Sitko K, Haarmans M, Read J. From adversity to psychosis: pathways and mechanisms from specific adversities to specific symptoms. Soc Psychiatry Psychiatr Epidemiol 2014; 49:1011-22. [PMID: 24919446 DOI: 10.1007/s00127-014-0914-0] [Citation(s) in RCA: 192] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2014] [Accepted: 05/30/2014] [Indexed: 02/07/2023]
Abstract
PURPOSE Although there is considerable evidence that adversities in childhood such as social deprivation, sexual abuse, separation from parents, neglect and exposure to deviant parental communication are associated with psychosis in later life, most studies have considered broad diagnoses as outcomes. In this review we consider evidence for pathways between specific types of adversity and specific symptoms of psychosis. METHODS We present theoretical arguments for expecting some degree of specificity (although by no means perfect specificity) between different kinds of adversity and different symptoms of psychosis. We review studies that have investigated social-environmental risk factors for thought disorder, auditory-verbal hallucinations and paranoid delusions, and consider how these risk factors may impact on specific psychological and biological mechanisms. RESULTS Communication deviance in parents has been implicated in the development of thought disorder in offspring, childhood sexual abuse has been particularly implicated in auditory-verbal hallucinations, and attachment-disrupting events (e.g. neglect, being brought up in an institution) may have particular potency for the development of paranoid symptoms. Current research on psychological mechanisms underlying these symptoms suggests a number of symptom-specific mechanisms that may explain these associations. CONCLUSIONS Few studies have considered symptoms, underlying mechanisms and different kinds of adversity at the same time. Future research along these lines will have the potential to elucidate the mechanisms that lead to severe mental illness, and may have considerable clinical implications.
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Abstract
BACKGROUND Parental communication deviance (CD) has long been suggested as a potential risk factor for the development of psychosis and thought disorder in genetically sensitive offspring. However, the findings of the studies on the prevalence of CD in parents of psychotic patients have never been submitted to quantitative synthesis. METHOD PsycINFO was searched from January 1959 to January 2012 for studies on the prevalence of CD in parents of psychotic patients. This search was supplemented with the results from a much larger systematic search (PsycINFO, PubMed, EMBASE, and Web of Science) on childhood trauma and psychosis. RESULTS A total of 20 retrieved studies (n = 1753 parents) yielded a pooled g of large magnitude (0.97; 95% CI [0.76; 1.18]) with a significant amount of heterogeneity (Q = 33.63; P = .014; I (2) = 46.47). Subgroup and sensitivity analysis of methodological features (study's design, comparison group, diagnostic criteria, CD rating method, inter-rater reliability not reported, year of publication, and verbosity) and demographic characteristics (level of education or offspring's age) revealed that pooled effect size was stable and unlikely to have been affected by these features. CONCLUSION CD is highly prevalent in parents of psychotic offspring. This is discussed in the broader context of adoption and longitudinal studies that have reported a G × E interaction in the development of psychosis and thought disorder. A potential developmental mechanism is suggested to explain how CD may affect the developing offspring. The importance of further studies on CD and its potential value as a clinical concept are discussed.
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Affiliation(s)
- Paulo de Sousa
- Institute of Psychology, Health and Society, University of Liverpool, Liverpool, UK;
| | - Filippo Varese
- Division of Clinical Psychology, School of Psychological Sciences, University of Manchester, Manchester, UK
| | - William Sellwood
- Institute of Psychology, Health and Society, University of Liverpool, Liverpool, UK
| | - Richard P. Bentall
- Institute of Psychology, Health and Society, University of Liverpool, Liverpool, UK
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Bentall RP. The search for elusive structure: a promiscuous realist case for researching specific psychotic experiences such as hallucinations. Schizophr Bull 2014; 40 Suppl 4:S198-201. [PMID: 24936080 PMCID: PMC4141316 DOI: 10.1093/schbul/sbu044] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Problems in psychiatric classification have impeded research into psychopathology for more than a century. Here, I briefly review several new approaches to solving this problem, including the internalizing-externalizing-psychosis spectra, the 5-factor model of psychotic symptoms, and the more recent network approach. Researchers and clinicians should probably adopt an attitude of promiscuous realism and assume that a single classification system is unlikely to be effective for all purposes, and that different systems will need to be chosen for research into etiology, public mental health research, and clinical activities. Progress in understanding the risk factors and mechanisms that lead to psychopathology is most likely to be achieved by focusing on specific types of experience or symptoms such as hallucinations.
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Affiliation(s)
- Richard P. Bentall
- School of Psychological Sciences, Institute of Psychology, Health and Society, University of Liverpool, Liverpool, UK,*To whom correspondence should be addressed; School of Psychological Sciences, Institute of Psychology, Health and Society, University of Liverpool, Liverpool L69 3GL, UK; tel: +44-151-795-5367, e-mail:
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