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Mélissa B, Sabrina G, Charles-Edouard G, Hind Z, Consortium S, Kingsada P, Stéphane P, Alexandre D. Clinical characteristics associated with functioning trajectories following admission to a psychiatric institution: A prospective cohort study of individuals with psychosis. Psychiatry Res 2024; 339:116062. [PMID: 38968920 DOI: 10.1016/j.psychres.2024.116062] [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: 02/23/2024] [Revised: 05/26/2024] [Accepted: 06/25/2024] [Indexed: 07/07/2024]
Abstract
Psychotic disorders can be severely enabling, and functional recovery is often difficult to achieve. Admission to a psychiatric unit represents a key opportunity to implement strategies that will improve functional outcomes. In the current literature, there is a lack of consensus on which factors influence functional recovery. Therefore, the present longitudinal cohort study aimed to identify factors associated with functional trajectories following hospital admission for acute psychosis. A sample of 453 individuals with acute psychosis was extracted from the Signature Biobank database. Participants were followed for up to a year following admission. Various clinical indicators were documented over time. Functional trajectories were calculated based on the World Health Organization Disability Assessment Schedule 2.0. Three groups were identified: "improving", "stable", and "worsening" function. Individuals with a more severe symptomatic presentation at baseline were found to have better functional improve more over time. Over time, individuals in the "improving" and "stable" groups had significant improvements in their psychiatric symptoms. Finally, individuals following a "worsening" functional trajectory initially improved in terms of psychotic symptoms, but it did not persist over time. These results highlight the importance of studying function as a key component of recovery rather than solely focusing on relapse prevention.
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Affiliation(s)
- Beaudoin Mélissa
- Department of Psychiatry and Addictology, Faculty of Medicine, University of Montreal. Montreal, QC, Canada; Faculty of Medicine, McGill University. Montreal, QC, Canada; Research center of the Institut universitaire en santé mentale de Montréal. Montreal, QC, Canada.
| | - Giguère Sabrina
- Department of Psychiatry and Addictology, Faculty of Medicine, University of Montreal. Montreal, QC, Canada; Research center of the Institut universitaire en santé mentale de Montréal. Montreal, QC, Canada
| | - Giguère Charles-Edouard
- Research center of the Institut universitaire en santé mentale de Montréal. Montreal, QC, Canada
| | - Ziady Hind
- Department of Psychiatry and Addictology, Faculty of Medicine, University of Montreal. Montreal, QC, Canada; Research center of the Institut universitaire en santé mentale de Montréal. Montreal, QC, Canada
| | - Signature Consortium
- Research center of the Institut universitaire en santé mentale de Montréal. Montreal, QC, Canada
| | - Phraxayavong Kingsada
- Research center of the Institut universitaire en santé mentale de Montréal. Montreal, QC, Canada; Services et recherche psychiatrique AD. Montreal, QC, Canada
| | - Potvin Stéphane
- Department of Psychiatry and Addictology, Faculty of Medicine, University of Montreal. Montreal, QC, Canada; Research center of the Institut universitaire en santé mentale de Montréal. Montreal, QC, Canada
| | - Dumais Alexandre
- Department of Psychiatry and Addictology, Faculty of Medicine, University of Montreal. Montreal, QC, Canada; Research center of the Institut universitaire en santé mentale de Montréal. Montreal, QC, Canada; Services et recherche psychiatrique AD. Montreal, QC, Canada; Institut national de psychiatrie légale Philippe-Pinel. Montreal, QC, Canada.
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Salvadé A, Golay P, Abrahamyan L, Bonnarel V, Solida A, Alameda L, Ramain J, Conus P. Gender differences in first episode psychosis: Some arguments to develop gender specific treatment strategies. Schizophr Res 2024; 271:300-308. [PMID: 39084105 DOI: 10.1016/j.schres.2024.07.046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 07/20/2024] [Accepted: 07/24/2024] [Indexed: 08/02/2024]
Abstract
INTRODUCTION Some aspects of gender differences in patients with schizophrenia spectrum disorders (SSD) have been studied, especially in cross-sectional designs and with a short-term follow-up. However, only a few studies have considered the evolution during the follow-up of SSD patients according to their gender. In this study, we explore gender differences from the time of entry in an early intervention program for psychosis, up to three years follow-up. METHODS We conducted a prospective study including a cohort of 474 patients treated at the Treatment and Early Intervention in Psychosis (TIPP) program, 319 men and 155 women, having presented a first episode of psychosis (FEP). Data regarding premorbid and baseline sociodemographic, psychopathological and patient functioning, were collected. These data were reassessed longitudinally after 2, 6, 12, 18, 24, 30 and 36 months after entry in TIPP. RESULTS Regarding premorbid and baseline characteristics, woman developed threshold symptoms of a FEP 1 year later than men on average. Women were more likely to be married, men were more likely to live in pension or care home facility or to be homeless. Women displayed a higher rate of history of suicide attempts and exposure to childhood trauma, while men were more likely to have a forensic history, a history of abuse of alcohol and cannabis as well as a dependency to cannabis at the time of entry in TIPP. Regarding evolution, men were more prone to violent acts and were less likely to decrease their usage of substances. The longitudinal analysis highlighted that men displayed greater negative symptoms over the entire treatment period, lower functioning after 6 months and on all assessment points after. Both genders displayed similar rate of improvement in these 3 dimensions over time. CONCLUSION Our study confirms that there are some gender differences in the early phase of psychosis that may require differentiation of assessment and treatment to improve recovery.
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Affiliation(s)
- Aude Salvadé
- General Psychiatry Service, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
| | - Philippe Golay
- General Psychiatry Service, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; Community Psychiatry Service, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; La Source School of Nursing, HES-SO University of Applied Sciences and Arts Western Switzerland, Av. Vinet 30, Lausanne, Switzerland
| | - Lilith Abrahamyan
- General Psychiatry Service, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Vincent Bonnarel
- General Psychiatry Service, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Alessandra Solida
- General Psychiatry Service, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; Département de psychiatrie de l'adulte II, Centre Neuchâtelois de Psychiatrie, Neuchâtel, Switzerland
| | - Luis Alameda
- General Psychiatry Service, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College of London, London, UK; Centro Investigacion Biomedica en Red de Salud Mental (CIBERSAM), Instituto de Biomedicina de Sevilla (IBIS), Hospital Universitario Virgen del Rocio, Departamento de Psiquiatria, Universidad de Sevilla, Sevilla, Spain
| | - Julie Ramain
- General Psychiatry Service, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; Training and Research Institute in Mental Health (IFRSM), Neuchâtel Centre of Psychiatry, Neuchâtel, Switzerland
| | - Philippe Conus
- General Psychiatry Service, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
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Diop A, Gupta A, Mueller S, Dron L, Harari O, Berringer H, Kalatharan V, Park JJH, Mésidor M, Talbot D. Assessing the performance of group-based trajectory modeling method to discover different patterns of medication adherence. Pharm Stat 2024; 23:511-529. [PMID: 38327261 DOI: 10.1002/pst.2365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 12/12/2023] [Accepted: 01/17/2024] [Indexed: 02/09/2024]
Abstract
It is well known that medication adherence is critical to patient outcomes and can decrease patient mortality. The Pharmacy Quality Alliance (PQA) has recognized and identified medication adherence as an important indicator of medication-use quality. Hence, there is a need to use the right methods to assess medication adherence. The PQA has endorsed the proportion of days covered (PDC) as the primary method of measuring adherence. Although easy to calculate, the PDC has however several drawbacks as a method of measuring adherence. PDC is a deterministic approach that cannot capture the complexity of a dynamic phenomenon. Group-based trajectory modeling (GBTM) is increasingly proposed as an alternative to capture heterogeneity in medication adherence. The main goal of this paper is to demonstrate, through a simulation study, the ability of GBTM to capture treatment adherence when compared to its deterministic PDC analogue and to the nonparametric longitudinal K-means. A time-varying treatment was generated as a quadratic function of time, baseline, and time-varying covariates. Three trajectory models are considered combining a cat's cradle effect, and a rainbow effect. The performance of GBTM was compared to the PDC and longitudinal K-means using the absolute bias, the variance, the c-statistics, the relative bias, and the relative variance. For all explored scenarios, we find that GBTM performed better in capturing different patterns of medication adherence with lower relative bias and variance even under model misspecification than PDC and longitudinal K-means.
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Affiliation(s)
- Awa Diop
- Core Clinical Sciences Inc., Vancouver, British Columbia, Canada
- Département de médecine sociale et préventive, Université Laval, Québec, Canada
| | - Alind Gupta
- Department of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | | | - Louis Dron
- Cascade Outcomes Research Inc., Vancouver, British Columbia, Canada
| | - Ofir Harari
- Core Clinical Sciences Inc., Vancouver, British Columbia, Canada
| | - Heather Berringer
- Core Clinical Sciences Inc., Vancouver, British Columbia, Canada
- Department of Mathematics and Statistics, University of Victoria, Victoria, British Columbia, Canada
| | | | - Jay J H Park
- Core Clinical Sciences Inc., Vancouver, British Columbia, Canada
- Department of Health Research Methodology, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Miceline Mésidor
- Département de médecine sociale et préventive, Université Laval, Québec, Canada
- Axe santé des populations et pratiques optimales en santé, Centre de recherche du CHU de Québec - Université Laval, Québec, Canada
| | - Denis Talbot
- Département de médecine sociale et préventive, Université Laval, Québec, Canada
- Axe santé des populations et pratiques optimales en santé, Centre de recherche du CHU de Québec - Université Laval, Québec, Canada
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Serra-Arumí C, Golay P, Bonnarel V, Alerci L, Abrahamyan Empson L, Conus P, Alameda L. Risk and protective factors for recovery at 3-year follow-up after first-episode psychosis onset: a multivariate outcome approach. Soc Psychiatry Psychiatr Epidemiol 2024; 59:1255-1267. [PMID: 37861709 PMCID: PMC11178637 DOI: 10.1007/s00127-023-02579-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 09/28/2023] [Indexed: 10/21/2023]
Abstract
PURPOSE Recovery in people with first-episode psychosis (FEP) remains a major issue. When risk factors are studied in relation to the disorder, potential protective factors should also be considered since they can modulate this relationship. This study is aimed at exploring which premorbid and baseline characteristics are associated with a good and poor global recovery in patients with FEP at 3-year follow-up. METHODS We categorized patients' outcome by using a Latent Class Analysis (LCA) considering a multimodal set of symptomatic and functional outcomes. A Mixed effects Models Repeated Measures analysis of variance (MMRM) was used to highlight group differences over time on symptomatic and functional outcomes assessed during the 3-year follow-up. RESULTS A total of 325 patients with FEP aged between 18 and 35 years were included. Two groups were identified. A total of 187 patients (57.5%) did not achieve recovery, and 138 patients (42.5%) achieved recovery. Recovered patients had generally a better premorbid and baseline profile in comparison with non-recovered patients (as among which shorter duration of untreated psychosis (DUP), higher degree of insight, better functional level and lower illness severity at baseline). The trajectories for the psychopathological and functional outcomes over 36 months differed between the non-recovered and the recovered group of patients. CONCLUSIONS Our results pointed to some variables associated with recovery, acting as potential protective factors. These should be considered for early intervention programs to promote psychological resilience specifically in those with a worse prognosis in order to mitigate the effects of the variables that make them more vulnerable to poorer outcome.
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Affiliation(s)
- Clara Serra-Arumí
- Etiopathogenesis and Treatment of Severe Mental Disorders (MERITT), Teaching, Research and Innovation Unit, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain
- Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain
- Universitat de Barcelona, Barcelona, Spain
| | - Philippe Golay
- Department of Psychiatry, General Psychiatry Service, Treatment and Early Intervention in Psychosis Program, Centre Hospitalier Universitaire Vaudois (CHUV), Place Chauderon, 18, 1003, Lausanne, Switzerland
| | - Vincent Bonnarel
- Department of Psychiatry, General Psychiatry Service, Treatment and Early Intervention in Psychosis Program, Centre Hospitalier Universitaire Vaudois (CHUV), Place Chauderon, 18, 1003, Lausanne, Switzerland
| | - Livia Alerci
- Department of Psychiatry, General Psychiatry Service, Treatment and Early Intervention in Psychosis Program, Centre Hospitalier Universitaire Vaudois (CHUV), Place Chauderon, 18, 1003, Lausanne, Switzerland
| | - Lilith Abrahamyan Empson
- Department of Psychiatry, General Psychiatry Service, Treatment and Early Intervention in Psychosis Program, Centre Hospitalier Universitaire Vaudois (CHUV), Place Chauderon, 18, 1003, Lausanne, Switzerland
| | - Philippe Conus
- Department of Psychiatry, General Psychiatry Service, Treatment and Early Intervention in Psychosis Program, Centre Hospitalier Universitaire Vaudois (CHUV), Place Chauderon, 18, 1003, Lausanne, Switzerland
| | - Luis Alameda
- Department of Psychiatry, General Psychiatry Service, Treatment and Early Intervention in Psychosis Program, Centre Hospitalier Universitaire Vaudois (CHUV), Place Chauderon, 18, 1003, Lausanne, Switzerland.
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Departamento de Psiquiatría, Instituto de Biomedicina de Sevilla (IBIS), Hospital Universitario Virgen del Rocío, Universidad de Sevilla, Seville, Spain.
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5
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Slot MIE, van Hell HH, Rossum IWV, Dazzan P, Maat A, de Haan L, Crespo-Facorro B, Glenthøj B, Lawrie SM, McDonald C, Gruber O, van Amelsvoort T, Arango C, Kircher T, Nelson B, Galderisi S, Weiser M, Sachs G, Maatz A, Bressan RA, Kwon JS, Mizrahi R, McGuire P, Kahn RS. A naturalistic cohort study of first-episode schizophrenia spectrum disorder: A description of the early phase of illness in the PSYSCAN cohort. Schizophr Res 2024; 266:237-248. [PMID: 38431986 DOI: 10.1016/j.schres.2024.02.018] [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: 12/21/2022] [Revised: 07/18/2023] [Accepted: 02/16/2024] [Indexed: 03/05/2024]
Abstract
BACKGROUND We examined the course of illness over a 12-month period in a large, international multi-center cohort of people with a first-episode schizophrenia spectrum disorder (FES) in a naturalistic, prospective study (PSYSCAN). METHOD Patients with a first episode of schizophrenia, schizoaffective disorder (depressive type) or schizophreniform disorder were recruited at 16 institutions in Europe, Israel and Australia. Participants (N = 304) received clinical treatment as usual throughout the study. RESULTS The mean age of the cohort was 24.3 years (SD = 5.6), and 67 % were male. At baseline, participants presented with a range of intensities of psychotic symptoms, 80 % were taking antipsychotic medication, 68 % were receiving psychological treatment, with 46.5 % in symptomatic remission. The mean duration of untreated psychosis was 6.2 months (SD = 17.0). After one year, 67 % were in symptomatic remission and 61 % were in functional remission, but 31 % had been readmitted to hospital at some time after baseline. In the cohort as a whole, depressive symptoms remained stable over the follow-up period. In patients with a current depressive episode at baseline, depressive symptoms slightly improved. Alcohol, tobacco and cannabis were the most commonly used substances, with daily users of cannabis ranging between 9 and 11 % throughout the follow-up period. CONCLUSIONS This study provides valuable insight into the early course of a broad range of clinical and functional aspects of illness in FES patients in routine clinical practice.
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Affiliation(s)
- Margot I E Slot
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands.
| | - Hendrika H van Hell
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands.
| | - Inge Winter-van Rossum
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands; Department of Psychiatry and Behavioral Health System, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1230, New York, NY 10029-6574, United States of America.
| | - Paola Dazzan
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, Denmark 458 Hill, London SE5 8AF, United Kingdom.
| | - Arija Maat
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands.
| | - Lieuwe de Haan
- Amsterdam UMC, University of Amsterdam, Psychiatry, Department Early Psychosis, Meibergdreef 9, Amsterdam, the Netherlands.
| | - Benedicto Crespo-Facorro
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Spain; Department of Psychiatry, University of Sevilla. Hospital Universitario Virgen del Rocio, IBiS-CSIC, Sevilla, Spain.
| | - Birte Glenthøj
- Centre for Neuropsychiatric Schizophrenia Research (CNSR) & Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; University of Copenhagen, Faculty of Health and Medical Sciences, Dept. of Clinical Medicine, Copenhagen, Denmark.
| | - Stephen M Lawrie
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh EH10 5HF, United Kingdom.
| | - Colm McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, University of Galway, Galway, Ireland.
| | - Oliver Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany.
| | - Thérèse van Amelsvoort
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands; Mondriaan Mental Health Centre, Maastricht, the Netherlands.
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón (IiSGM), School of Medicine, Universidad Complutense, Centro de Investigación Biomédica en Red del área de Salud Mental (CIBERSAM), Madrid, Spain.
| | - Tilo Kircher
- Department of Psychiatry, University of Marburg, Rudolf-Bultmann-Straße 8, D-35039 Marburg, Germany.
| | - Barnaby Nelson
- Orygen, 35 Poplar Road, Parkville, Victoria, Melbourne, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia.
| | - Silvana Galderisi
- University of Campania Luigi Vanvitelli, Largo Madonna delle Grazie, 80138 Naples, Italy
| | - Mark Weiser
- Department of Psychiatry, Sheba Medical Center, Tel Hashomer 52621, Israel; Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
| | - Gabriele Sachs
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria.
| | - Anke Maatz
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland.
| | - Rodrigo A Bressan
- Department of Psychiatry, Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal de Sao Paulo (UNIFESP), Sao Paulo, Brazil
| | - Jun Soo Kwon
- Department of Psychiatry, Seoul National University College of Medicine, 101 Dahakno, Jongno-gu, Seoul, Republic of Korea.
| | - Romina Mizrahi
- Department of Psychiatry, McGill University, Montreal, Canada.
| | - Philip McGuire
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom.
| | - René S Kahn
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands; Department of Psychiatry and Behavioral Health System, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1230, New York, NY 10029-6574, United States of America.
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Cowman M, Godfrey E, Walsh T, Frawley E, Fowler D, Alvarez-Jimenez M, O’Connor K, Wykes T, Birchwood M, Donohoe G. Measures of Social and Occupational Function in Early Psychosis: A Systematic Review and Meta-analysis. Schizophr Bull 2024; 50:266-285. [PMID: 37173277 PMCID: PMC10919778 DOI: 10.1093/schbul/sbad062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
Deficits in social and occupational function are widely reported in psychosis, yet no one measure of function is currently agreed upon as a gold standard in psychosis research. The aim of this study was to carry out a systematic review and meta-analysis of functioning measures to determine what measures were associated with largest effect sizes when measuring between-group differences, changes over time, or response to treatment. Literature searches were conducted based on PsycINFO and PubMed to identify studies for inclusion. Cross-sectional and longitudinal observational and intervention studies of early psychosis (≤5 years since diagnosis) that included social and occupational functioning as an outcome measure were considered. A series of meta-analyses were conducted to determine effect size differences for between-group differences, changes over time, or response to treatment. Subgroup analyses and meta-regression were carried out to account for variability in study and participant characteristics. One hundred and sixteen studies were included, 46 studies provided data (N = 13 261) relevant to our meta-analysis. Smallest effect sizes for changes in function over time and in response to treatment were observed for global measures, while more specific measures of social and occupational function showed the largest effect sizes. Differences in effect sizes between functioning measures remained significant after variability in study and participant characteristics were accounted for. Findings suggest that more specific measures of social function are better able to detect changes in function over time and in response to treatment.
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Affiliation(s)
- Megan Cowman
- Centre for Neuroimaging, Cognition & Genomics (NICOG), School of Psychology, University of Galway, Galway, Ireland
| | - Emmet Godfrey
- Centre for Neuroimaging, Cognition & Genomics (NICOG), School of Psychology, University of Galway, Galway, Ireland
| | - Talissa Walsh
- Centre for Neuroimaging, Cognition & Genomics (NICOG), School of Psychology, University of Galway, Galway, Ireland
| | - Emma Frawley
- Centre for Neuroimaging, Cognition & Genomics (NICOG), School of Psychology, University of Galway, Galway, Ireland
| | - David Fowler
- School of Psychology, University of Sussex, Falmer, UK
| | - Mario Alvarez-Jimenez
- Orygen, Melbourne, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Karen O’Connor
- RISE Early Intervention in Psychosis Service, South Lee Mental Health Service, Cork, Ireland
- Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland
| | - Til Wykes
- School of Mental Health & Psychological Sciences, King’s College London, London, UK
| | - Max Birchwood
- Warwick Medical School, University of Warwick, Coventry, UK
| | - Gary Donohoe
- Centre for Neuroimaging, Cognition & Genomics (NICOG), School of Psychology, University of Galway, Galway, Ireland
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Cheng Z, Huang B, Ma K, Miao Q, Yuan Y, Han X, Yang L, Zeng X, Yang F, Wang C, Lu Z, Deng H, Zhao J, Yu X, Pu C. Trajectories of social function in patients with first-episode schizophrenia: Analysis of data from a 10-year follow-up study. Asian J Psychiatr 2024; 91:103834. [PMID: 37988930 DOI: 10.1016/j.ajp.2023.103834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 11/09/2023] [Accepted: 11/14/2023] [Indexed: 11/23/2023]
Abstract
BACKGROUND Patients with schizophrenia may have diverse functional outcomes. However, the long-term functional trajectories of patients with first-episode schizophrenia (FES) are unclear. METHODS We extracted data from the Chinese First-Episode Schizophrenia Trial, a 10-year prospective study of antipsychotic-naïve patients with FES. We applied K means cluster modelling to longitudinal data on the social function of patients with FES and examined associations of the empirically derived trajectories with baseline clinical characteristics of the 10-year follow-up. OUTCOMES Three distinct functional trajectories emerged: improving-favorable (39·3%), improving-poor (17·8%) and improving-stable (42·9%). All three trajectories demonstrated Personal and Social Performance (PSP) score improvement in the first six months. The improving-poor trajectory demonstrated PSP score decline during the second six months and thereafter, while PSP scores in the other two trajectories were mainly stable during the same period. Patients in the improving-favorable trajectory had higher baseline PSP scores than those in the improving-poor trajectory (OR=0·904 [0·852, 0·961], p < 0·05) and the improving-stable trajectory (OR=0·870 [0·825, 0·918], p < 0·001) and were more likely to be female than those in the improving-stable trajectory (OR=2·699 [1·030, 7·074], p < 0·05). CONCLUSIONS Patients with FES demonstrated varied long-term functional recovery profiles. The first year, especially the second half of the first year, is a key period for social function interventions that improve long-term functional outcomes. Male patients and patients with poor baseline function may particularly benefit from such interventions.
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Affiliation(s)
- Zhang Cheng
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Bingjie Huang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Ke Ma
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Qi Miao
- Shandong Mental Health Center, Shandong University, Jinan, Shandong 250014, China
| | - Yanbo Yuan
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Xue Han
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Lei Yang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Xin Zeng
- Peking University Clinical Research Institute, Beijing, China
| | - Fude Yang
- Beijing Hui-Long-Guan Hospital, Beijing, China
| | - Chuanyue Wang
- Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Zheng Lu
- Tongji Hospital of Tongji University, Shanghai, China
| | - Hong Deng
- West China Hospital, Sichuan University, Chengdu, China
| | - Jingping Zhao
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, China
| | - Xin Yu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.
| | - Chengcheng Pu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.
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8
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Moon KJ, Stephenson S, Hasenstab KA, Sridhar S, Seiber EE, Breitborde NJK, Nawaz S. Policy Complexities in Financing First Episode Psychosis Services: Implementation Realities from a Home Rule State. J Behav Health Serv Res 2024; 51:132-145. [PMID: 38017296 DOI: 10.1007/s11414-023-09865-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/04/2023] [Indexed: 11/30/2023]
Abstract
Over the past decade, significant investments have been made in coordinated specialty care (CSC) models for first episode psychosis (FEP), with the goal of promoting recovery and preventing disability. CSC programs have proliferated as a result, but financing challenges imperil their growth and sustainability. In this commentary, the authors discuss (1) entrenched and emergent challenges in behavioral health policy of consequence for CSC financing; (2) implementation realities in the home rule context of Ohio, where significant variability exists across counties; and (3) recommendations to improve both care quality and access for individuals with FEP. The authors aim to provoke careful thought about policy interventions to bridge science-to-service gaps, and in this way, advance behavioral health equity.
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Affiliation(s)
- Kyle J Moon
- Center for Health Outcomes and Policy Evaluation Studies, Ohio State University College of Public Health, Columbus, OH, USA
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Kathryn A Hasenstab
- Center for Health Outcomes and Policy Evaluation Studies, Ohio State University College of Public Health, Columbus, OH, USA
| | - Srinivasan Sridhar
- Center for Health Outcomes and Policy Evaluation Studies, Ohio State University College of Public Health, Columbus, OH, USA
| | - Eric E Seiber
- Center for Health Outcomes and Policy Evaluation Studies, Ohio State University College of Public Health, Columbus, OH, USA
- Division of Health Services Management and Policy, Ohio State University College of Public Health, Columbus, OH, USA
| | - Nicholas J K Breitborde
- Department of Psychiatry and Behavioral Health, Ohio State University College of Medicine, Columbus, OH, USA
- Department of Psychology, Ohio State University, Columbus, OH, USA
| | - Saira Nawaz
- Center for Health Outcomes and Policy Evaluation Studies, Ohio State University College of Public Health, Columbus, OH, USA.
- Division of Health Services Management and Policy, Ohio State University College of Public Health, Columbus, OH, USA.
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9
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Petros R, Walker DD, Davis A, Monroe-DeVita M. Provider Intentions to Implement Cannabis Use Intervention in First Episode Psychosis Treatment. Community Ment Health J 2023; 59:1479-1489. [PMID: 37162662 DOI: 10.1007/s10597-023-01133-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 04/28/2023] [Indexed: 05/11/2023]
Abstract
Young adults with first episode psychosis use cannabis at high rates. In light of progressively tolerant attitudes toward cannabis, decreased perceptions of risk, and limited implementation of substance use modules within coordinated specialty care (CSC) programs, this study sought to describe factors contributing to CSC providers' intentions to implement motivational enhancement therapy (MET) for cannabis reduction. Two focus groups were conducted with CSC providers (n = 14), with questions guided by theory of planned behavior. Content and thematic analyses were conducted to identify salient themes associated with the theory. Participants generally indicated intentions to implement MET; limiting factors included concerns about clients' willingness to discuss cannabis use, perception of support for abstinence-only goals, and concerns about intervention mechanics such as computerized assessments. To reduce barriers limiting provider intention to implement MET, authors recommend training on assessment protocols, the merits of harm-reduction, and strategies for lower-risk cannabis use.Please confirm if the author names are presented accurately and in the correct sequence. Author 1 Given name: [Ryan] Last name [Petros]. Author 2 Given name: [Denise D.] Last name [Walker]. Author 3 Given name: [Adam] Last name [Davis]. Author 4 Given name: [Maria] Last name [Monroe-DeVita]. Also, kindly confirm the details in the metadata are correct.Confirmed!
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Affiliation(s)
- Ryan Petros
- University of Washington School of Social Work, 4101 15th Ave. NE, Seattle, WA, 98105, USA.
| | - Denise D Walker
- University of Washington School of Social Work, 909 NE 43rd Street, Suite 304, Seattle, WA, 98105, USA
| | - Adam Davis
- University of Washington School of Social Work, 4101 15th Ave. NE, Seattle, WA, 98105, USA
| | - Maria Monroe-DeVita
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, 325 Ninth Ave., Box 35991, Seattle, WA, 98104, USA
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10
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Aguilar EJ, Carrasco JP. Invited commentary: Suicidal ideation in first psychotic episodes. Schizophr Res 2023; 260:1-2. [PMID: 37543006 DOI: 10.1016/j.schres.2023.07.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 06/12/2023] [Accepted: 07/23/2023] [Indexed: 08/07/2023]
Affiliation(s)
- Eduardo J Aguilar
- Department of Psychiatry, Hospital Clínico Universitario de Valencia, Valencia 46010, Spain; Department of Psychiatry, Faculty of Medicine of Valencia, Valencia 46010, Spain; Biomedical Research Networking Centre in Mental Health (CIBERSAM), Madrid, Spain; Biomedical Research Institute INCLIVA, Valencia 46010, Spain
| | - Juan P Carrasco
- Department of Psychiatry, Hospital Clínico Universitario de Valencia, Valencia 46010, Spain.
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11
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Agarwal SM, Dissanayake J, Agid O, Bowie C, Brierley N, Chintoh A, De Luca V, Diaconescu A, Gerretsen P, Graff-Guerrero A, Hawco C, Herman Y, Hill S, Hum K, Husain MO, Kennedy JL, Kiang M, Kidd S, Kozloff N, Maslej M, Mueller DJ, Naeem F, Neufeld N, Remington G, Rotenberg M, Selby P, Siddiqui I, Szacun-Shimizu K, Tiwari AK, Thirunavukkarasu S, Wang W, Yu J, Zai CC, Zipursky R, Hahn M, Foussias G. Characterization and prediction of individual functional outcome trajectories in schizophrenia spectrum disorders (PREDICTS study): Study protocol. PLoS One 2023; 18:e0288354. [PMID: 37733693 PMCID: PMC10513234 DOI: 10.1371/journal.pone.0288354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 06/23/2023] [Indexed: 09/23/2023] Open
Abstract
Schizophrenia spectrum disorders (SSDs) are associated with significant functional impairments, disability, and low rates of personal recovery, along with tremendous economic costs linked primarily to lost productivity and premature mortality. Efforts to delineate the contributors to disability in SSDs have highlighted prominent roles for a diverse range of symptoms, physical health conditions, substance use disorders, neurobiological changes, and social factors. These findings have provided valuable advances in knowledge and helped define broad patterns of illness and outcomes across SSDs. Unsurprisingly, there have also been conflicting findings for many of these determinants that reflect the heterogeneous population of individuals with SSDs and the challenges of conceptualizing and treating SSDs as a unitary categorical construct. Presently it is not possible to identify the functional course on an individual level that would enable a personalized approach to treatment to alter the individual's functional trajectory and mitigate the ensuing disability they would otherwise experience. To address this ongoing challenge, this study aims to conduct a longitudinal multimodal investigation of a large cohort of individuals with SSDs in order to establish discrete trajectories of personal recovery, disability, and community functioning, as well as the antecedents and predictors of these trajectories. This investigation will also provide the foundation for the co-design and testing of personalized interventions that alter these functional trajectories and improve outcomes for people with SSDs.
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Affiliation(s)
- Sri Mahavir Agarwal
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
- Temerty Faculty Institute of Medical Science, University of Toronto, Toronto, Canada
- Department of Psychiatry, University of Toronto, Toronto, Canada
- Banting and Best Diabetes Centre (BBDC), University of Toronto, Toronto, Canada
| | - Joel Dissanayake
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Ofer Agid
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Christopher Bowie
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Noah Brierley
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Araba Chintoh
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Vincenzo De Luca
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Andreea Diaconescu
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Philip Gerretsen
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Ariel Graff-Guerrero
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Colin Hawco
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Yarissa Herman
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Sean Hill
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Kathryn Hum
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Muhammad Omair Husain
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - James L. Kennedy
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Michael Kiang
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Sean Kidd
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Nicole Kozloff
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Marta Maslej
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Daniel J. Mueller
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Farooq Naeem
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Nicholas Neufeld
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Gary Remington
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Martin Rotenberg
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Peter Selby
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Ishraq Siddiqui
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Kate Szacun-Shimizu
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Arun K. Tiwari
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | | | - Wei Wang
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Joanna Yu
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Clement C. Zai
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Robert Zipursky
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - Margaret Hahn
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
- Temerty Faculty Institute of Medical Science, University of Toronto, Toronto, Canada
- Department of Psychiatry, University of Toronto, Toronto, Canada
- Banting and Best Diabetes Centre (BBDC), University of Toronto, Toronto, Canada
| | - George Foussias
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
- Temerty Faculty Institute of Medical Science, University of Toronto, Toronto, Canada
- Department of Psychiatry, University of Toronto, Toronto, Canada
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12
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Prakash J, Saini R, Srivastava K, Chatterjee K, Basannar D, Mohan P. Longitudinal study of the course and outcome of first-episode psychosis. Med J Armed Forces India 2023; 79:539-546. [PMID: 37719902 PMCID: PMC10499655 DOI: 10.1016/j.mjafi.2021.04.013] [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: 02/16/2021] [Accepted: 04/22/2021] [Indexed: 11/20/2022] Open
Abstract
Background Study of first episode psychosis (FEP), an episode of psychotic nature, which manifests for the first time in an individual in the longitudinal continuum of his/her illness, has been a matter of research interest in recent years, as this may give more insight to the overall phenomenology and course of psychotic illnesses. Methods A study was undertaken to evaluate course and outcome of first episode psychosis. A total of 100 consecutive inpatients were selected for the study. Informed consent was obtained. Structured Proforma was used for recording psychosocial profiles and relevant medical history. Brief Psychiatric Rating Scale (BPRS) was given to assess the severity of psychopathology; Positive and Negative Symptom Scale (PANSS) to assess the severity of psychosis; Becks Suicidal Ideation Scale (BSI) to assess the extent of suicidality and Global Assessment of Functioning (GAF) to assess global functioning of the individual. The assessment was done at baseline, at six months, and at one year. Results First episode psychosis constituted around a tenth of the caseload. It commonly affected people in the third decade of life. There was an improvement in 92% of the cases over a year of study. Schizophrenia constituted the majority of first episode psychosis. The history of smoking was relatively higher in acute and transient psychotic disorders. Age inversely correlated with the severity of psychopathology. There was no difference in improvement in psychopathology over time in patients of schizophrenia and related disorder vis--vis other psychotic disorders. Conclusion Our study did not find any significantly varied sociodemographic factors in the course and outcome of the illness. It also refuted the schism between various types of psychosis based on the current classificatory system. It draws our attention toward the unitary concept of psychosis and is a call to re-think our strategies in the management of psychosis.
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Affiliation(s)
- Jyoti Prakash
- Professor, Department of Psychiatry, Armed Forces Medical College, Pune, India
| | - R.K. Saini
- Professor (Psychiatry), Command Hospital (Eastern Command), Kolkata, India
| | - Kalpana Srivastava
- Scientist ‘G’ Department of Psychiatry, Armed Forces Medical College, Pune, India
| | - Kaushik. Chatterjee
- Professor & Head, Department of Psychiatry, Armed Forces Medical College, Pune, India
| | - D.R. Basannar
- Scientist ‘F’, Department of Community Medicine, Armed Forces Medical College, Pune, India
| | - Prafull. Mohan
- Professor, Department of Pharmacology, Armed Forces Medical College, Pune, India
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13
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Habtewold TD, Hao J, Liemburg EJ, Baştürk N, Bruggeman R, Alizadeh BZ. Deep Clinical Phenotyping of Schizophrenia Spectrum Disorders Using Data-Driven Methods: Marching towards Precision Psychiatry. J Pers Med 2023; 13:954. [PMID: 37373943 DOI: 10.3390/jpm13060954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 05/30/2023] [Accepted: 06/01/2023] [Indexed: 06/29/2023] Open
Abstract
Heterogeneity is the main challenge in the traditional classification of mental disorders, including schizophrenia spectrum disorders (SSD). This can be partly attributed to the absence of objective diagnostic criteria and the multidimensional nature of symptoms and their associated factors. This article provides an overview of findings from the Genetic Risk and Outcome of Psychosis (GROUP) cohort study on the deep clinical phenotyping of schizophrenia spectrum disorders targeting positive and negative symptoms, cognitive impairments and psychosocial functioning. Three to four latent subtypes of positive and negative symptoms were identified in patients, siblings and controls, whereas four to six latent cognitive subtypes were identified. Five latent subtypes of psychosocial function-multidimensional social inclusion and premorbid adjustment-were also identified in patients. We discovered that the identified subtypes had mixed profiles and exhibited stable, deteriorating, relapsing and ameliorating longitudinal courses over time. Baseline positive and negative symptoms, premorbid adjustment, psychotic-like experiences, health-related quality of life and PRSSCZ were found to be the strong predictors of the identified subtypes. Our findings are comprehensive, novel and of clinical interest for precisely identifying high-risk population groups, patients with good or poor disease prognosis and the selection of optimal intervention, ultimately fostering precision psychiatry by tackling diagnostic and treatment selection challenges pertaining to heterogeneity.
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Affiliation(s)
- Tesfa Dejenie Habtewold
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands
| | - Jiasi Hao
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands
| | - Edith J Liemburg
- Department of Psychiatry, University Medical Center Groningen, University Center for Psychiatry, Rob Giel Research Center, University of Groningen, 9700 RB Groningen, The Netherlands
| | - Nalan Baştürk
- Department of Quantitative Economics, School of Business and Economics, Maastricht University, 6200 MD Maastricht, The Netherlands
| | - Richard Bruggeman
- Department of Psychiatry, University Medical Center Groningen, University Center for Psychiatry, Rob Giel Research Center, University of Groningen, 9700 RB Groningen, The Netherlands
- Department of Clinical and Developmental Neuropsychology, Faculty of Behavioural and Social Sciences, University of Groningen, 9700 RB Groningen, The Netherlands
| | - Behrooz Z Alizadeh
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands
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14
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Atwood B, Yassin W, Chan SY, Hall MH. Subfield-specific longitudinal changes of hippocampal volumes in patients with early-stage bipolar disorder. Bipolar Disord 2023; 25:301-311. [PMID: 36855850 PMCID: PMC10330583 DOI: 10.1111/bdi.13315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/02/2023]
Abstract
BACKGROUND The hippocampus is a heterogeneous structure composed of biologically and functionally distinct subfields. Hippocampal aberrations are proposed to play a fundamental role in the etiology of psychotic symptoms. Bipolar disorder (BPD) has substantial overlap in symptomatology and genetic liability with schizophrenia (SZ), and reduced hippocampal volumes, particularly at the chronic illness stages, are documented in both disorders. Studies of hippocampal subfields in the early stage of BPD are limited and cross-sectional findings to date report no reduction in hippocampal volumes. To our knowledge, there have been no longitudinal studies of BPD evaluating hippocampal volumes in the early phase of illness. We investigated the longitudinal changes in hippocampal regions and subfields in BPD mainly and in early stage of psychosis (ESP) patients more broadly and compared them to those in controls (HC). METHODS Baseline clinical and structural MRI data were acquired from 88 BPD, from a total of 143 ESP patients, and 74 HCs. Of those, 66 participants (23 HC, 43 patients) completed a 12-month follow-up visit. The hippocampus regions and subfields were segmented using Freesurfer automated pipeline. RESULTS We found general baseline deficits in hippocampal volumes among BPD and ESP cohorts. Both cohorts displayed significant increases in the anterior hippocampal region and dentate gyrus compared with controls. Additionally, antipsychotic medications were positively correlated with the posterior region at baseline. CONCLUSION These findings highlight brain plasticity in BPD and in ESP patients providing evidence that deviations in hippocampal volumes are adaptive responses to atypical signaling rather than progressive degeneration.
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Affiliation(s)
- Bruce Atwood
- Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA, USA
- Schizophrenia and Bipolar Disorders Program, McLean Hospital, Belmont, MA, USA
| | - Walid Yassin
- Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Shi Yu Chan
- Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA, USA
- Schizophrenia and Bipolar Disorders Program, McLean Hospital, Belmont, MA, USA
| | - Mei-Hua Hall
- Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA, USA
- Schizophrenia and Bipolar Disorders Program, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
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15
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Holton KM, Chan SY, Brockmeier AJ, Öngür D, Hall MH. Exploring the influence of functional architecture on cortical thickness networks in early psychosis - a longitudinal study. Neuroimage 2023; 274:120127. [PMID: 37086876 DOI: 10.1016/j.neuroimage.2023.120127] [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: 02/25/2023] [Revised: 04/17/2023] [Accepted: 04/19/2023] [Indexed: 04/24/2023] Open
Abstract
Cortical thickness reductions differ between individuals with psychotic disorders and comparison subjects even in early stages of illness. Whether these reductions covary as expected by functional network membership or simply by spatial proximity has not been fully elucidated. Through orthonormal projective non-negative matrix factorization, cortical thickness measurements in functionally-annotated regions from MRI scans of early-stage psychosis and matched healthy controls were reduced in dimensionality into features capturing positive covariance. Rather than matching the functional networks, the covarying regions in each feature displayed a more localized spatial organization. With Bayesian belief networks, the covarying regions per feature were arranged into a network topology to visualize the dependency structure and identify key driving regions. The features demonstrated diagnosis-specific differences in cortical thickness distributions per feature, identifying reduction-vulnerable spatial regions. Differences in key cortical thickness features between psychosis and control groups were delineated, as well as those between affective and non-affective psychosis. Clustering of the participants, stratified by diagnosis and clinical variables, characterized the clinical traits that define the cortical thickness patterns. Longitudinal follow-up revealed that in select clusters with low baseline cortical thickness, clinical traits improved over time. Our study represents a novel effort to characterize brain structure in relation to functional networks in healthy and clinical populations and to map patterns of cortical thickness alterations among ESP patients onto clinical variables for a better understanding of brain pathophysiology.
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Affiliation(s)
- Kristina M Holton
- Computational Neural Information Engineering Lab, University of Delaware, 139 The Green, Newark, DE 19716.
| | - Shi Yu Chan
- Psychosis Neurobiology Laboratory, McLean Hospital, 115 Mill St, Belmont, MA 02478; Division of Psychotic Disorders, McLean Hospital, 115 Mill St, Belmont, MA 02478
| | - Austin J Brockmeier
- Computational Neural Information Engineering Lab, University of Delaware, 139 The Green, Newark, DE 19716
| | - Dost Öngür
- Department of Psychiatry, Harvard Medical School, 25 Shattuck St, Boston, MA 02115; Division of Psychotic Disorders, McLean Hospital, 115 Mill St, Belmont, MA 02478
| | - Mei-Hua Hall
- Psychosis Neurobiology Laboratory, McLean Hospital, 115 Mill St, Belmont, MA 02478; Department of Psychiatry, Harvard Medical School, 25 Shattuck St, Boston, MA 02115; Division of Psychotic Disorders, McLean Hospital, 115 Mill St, Belmont, MA 02478.
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16
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Sayed SE, Gomaa S, Alhazmi A, ElKalla I, Khalil D. Metabolic profile in first episode drug naïve patients with psychosis and its relation to cognitive functions and social cognition: a case control study. Sci Rep 2023; 13:5435. [PMID: 37012300 PMCID: PMC10070352 DOI: 10.1038/s41598-023-31829-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 03/17/2023] [Indexed: 04/05/2023] Open
Abstract
1st episode drug naïve patients with psychosis might be at higher risk for cardiometabolic disturbances which could affect the different cognitive, and executive functions and domains of social cognition. This study aimed to study the metabolic parameters in 1st episode drug naïve patients with psychosis, to evaluate the relation of these cardiometabolic domains to the cognitive, executive functions, and social cognition. Socio-demographic characteristics of 150 first episode drug naïve patients with psychosis and 120 matched healthy control groups were collected. The current study also assessed the cardiometabolic profile and cognitive functions in both groups. Social cognition was examined by Edinburgh Social Cognition Test. The study revealed a statistically significant difference in parameters of metabolic profile among the studied groups (p < 0.001*), the scores of cognitive and executive tests were statistically significantly different (p < 0.001*). In addition, the patient's group has lowered scores of domains of social cognition (p < 0.001*). Also, the mean affective theory of mind was negatively correlated with the conflict cost of the Flanker test (r = -.185* p value = .023). The total cholesterol level (r = - 0.241**, p value = .003) and level of triglycerides (r = - 0.241**, p value = 0.003) were negatively correlated with the interpersonal domain of social cognition, the total cholesterol level is positively correlated to the total score of social cognition (r = 0.202*, p value = 0.013). Patients with 1st episode drug naïve psychosis showed disturbed cardiometabolic parameters which have deleterious effects on cognitive functions and social cognition.
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Affiliation(s)
- Samir El Sayed
- Department of Psychiatry, Faculty of Medicine, Mansoura University, Mansoura, Egypt.
- , Riyadh City, Riyadh, Kingdom of Saudi Arabia.
| | - Sarah Gomaa
- Mansoura University Students' Hospital, Mansoura University, Mansoura, Egypt
- , Riyadh City, Riyadh, Kingdom of Saudi Arabia
| | - Alaa Alhazmi
- Department of Psychiatry, Hayat National Hospital, Riyadh, Kingdom of Saudi Arabia
| | | | - Dalia Khalil
- Faculty of Medicine, Zagazig University, Zagazig, Egypt
- , Riyadh City, Riyadh, Kingdom of Saudi Arabia
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17
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Petros R, Walker DD, Pierce A, Monroe-DeVita M. Scoping Review of Cannabis-Reduction Psychosocial Interventions and Reasons for Use among Young Adults with Psychosis. J Dual Diagn 2023; 19:124-150. [PMID: 37391686 DOI: 10.1080/15504263.2023.2226024] [Citation(s) in RCA: 2] [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] [Indexed: 07/02/2023]
Abstract
Objective: No evidence-based intervention effectively reduces cannabis use in young adults with psychosis (YAP). To generate hypotheses about why, a scoping review was conducted to synthesize evidence about motivations for cannabis use and reduction/cessation for YAP and the psychosocial interventions trialed to identify possible gaps between motivations and interventive strategies. Methods: A systematic literature search was conducted in December, 2022. Reviews of titles and abstracts (N = 3,216) and full-texts (n = 136) resulted in 46 articles. Results: YAP use cannabis for pleasure, to reduce dysphoria, and for social and recreational reasons; motivations for cessation include insight about cannabis-psychosis interactions, incompatibility with goals and social roles, and support from social networks. Interventions with at least minimal evidence of efficacy include motivational interviewing, cognitive-behavioral strategies, and family skills training. Conclusions: Authors recommend additional research on mechanisms of change and motivational enhancement therapy, behavioral activation, and family-based skills interventions matched to YAP motivations for use/cessation.
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Affiliation(s)
- Ryan Petros
- School of Social Work, University of Washington, Seattle, Washington, USA
| | - Denise D Walker
- School of Social Work, University of Washington, Seattle, Washington, USA
| | - Adam Pierce
- Mental Health and Neurosciences Division, VA Portland Health Care System, Portland, Oregon, USA
| | - Maria Monroe-DeVita
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of Washington, Seattle, Washington, USA
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18
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Griffiths SL, Bogatsu T, Longhi M, Butler E, Alexander B, Bandawar M, Everard L, Jones PB, Fowler D, Hodgekins J, Amos T, Freemantle N, McCrone P, Singh SP, Birchwood M, Upthegrove R. Five-year illness trajectories across racial groups in the UK following a first episode psychosis. Soc Psychiatry Psychiatr Epidemiol 2023; 58:569-579. [PMID: 36717434 PMCID: PMC10066114 DOI: 10.1007/s00127-023-02428-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 01/12/2023] [Indexed: 02/01/2023]
Abstract
PURPOSE Psychosis disproportionally affects ethnic minority groups in high-income countries, yet evidence of disparities in outcomes following intensive early intervention service (EIS) for First Episode Psychosis (FEP) is less conclusive. We investigated 5-year clinical and social outcomes of young people with FEP from different racial groups following EIS care. METHOD Data were analysed from the UK-wide NIHR SUPEREDEN study. The sample at baseline (n = 978) included White (n = 750), Black (n = 71), and Asian (n = 157) individuals, assessed during the 3 years of EIS, and up to 2 years post-discharge (n = 296; Black [n = 23]; Asian [n = 52] and White [n = 221]). Outcome trajectories were modelled for psychosis symptoms (positive, negative, and general), functioning, and depression, using linear mixed effect models (with random intercept and slopes), whilst controlling for social deprivation. Discharge service was also explored across racial groups, 2 years following EIS. RESULTS Variation in linear growth over time was accounted for by racial group status for psychosis symptoms-positive (95% CI [0.679, 1.235]), negative (95% CI [0.315, 0.783]), and general (95% CI [1.961, 3.428])-as well as for functioning (95% CI [11.212, 17.677]) and depressive symptoms (95% CI [0.261, 0.648]). Social deprivation contributed to this variance. Black individuals experienced greater levels of deprivation (p < 0.001, 95% CI [0.187, 0.624]). Finally, there was a greater likelihood for Asian (OR = 3.04; 95% CI [2.050, 4.498]) and Black individuals (OR = 2.47; 95% CI [1.354, 4.520]) to remain in secondary care by follow-up. CONCLUSION Findings suggest variations in long-term clinical and social outcomes following EIS across racial groups; social deprivation contributed to this variance. Black and Asian individuals appear to make less improvement in long-term recovery and are less likely to be discharged from mental health services. Replication is needed in large, complete data, to fully understand disparities and blind spots to care.
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Affiliation(s)
- Siân Lowri Griffiths
- Institute for Mental Health, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
| | - Tumelo Bogatsu
- Institute for Mental Health, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Mia Longhi
- Institute for Mental Health, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Emily Butler
- Institute for Mental Health, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Beel Alexander
- Institute for Mental Health, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Mrunal Bandawar
- Institute for Mental Health, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Linda Everard
- Birmingham and Solihull Mental Health Foundation Trust, Birmingham, UK
| | - Peter B Jones
- Department of Psychiatry, University of Cambridge and CAMEO, Cambridge and Peterborough NHS Foundation Trust, Fulbourn, UK
| | - David Fowler
- Department of Psychology, University of Sussex, Brighton, UK
| | | | - Tim Amos
- Academic Unit of Psychiatry, University of Bristol, Bristol, UK
| | - Nick Freemantle
- Institute of Clinical Trials and Methodology, University College London, London, UK
| | - Paul McCrone
- Institute for Life Course Development, University of Greenwich, London, UK
| | - Swaran P Singh
- Mental Health and Wellbeing Warwick Medical School, University of Warwick, Coventry, UK
| | - Max Birchwood
- Mental Health and Wellbeing Warwick Medical School, University of Warwick, Coventry, UK
| | - Rachel Upthegrove
- Institute for Mental Health, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
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19
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Burgher B, Scott J, Cocchi L, Breakspear M. Longitudinal changes in neural gain and its relationship to cognitive control trajectory in young adults with early psychosis. Transl Psychiatry 2023; 13:77. [PMID: 36864034 PMCID: PMC9981770 DOI: 10.1038/s41398-023-02381-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 02/18/2023] [Accepted: 02/23/2023] [Indexed: 03/04/2023] Open
Abstract
The mixed cognitive outcomes in early psychosis (EP) have important implications for recovery. In this longitudinal study, we asked whether baseline differences in the cognitive control system (CCS) in EP participants would revert toward a normative trajectory seen in healthy controls (HC). Thirty EP and 30 HC undertook functional MRI at baseline using the multi-source interference task-a paradigm that selectively introduces stimulus conflict-and 19 in each group repeated the task at 12 months. Activation of the left superior parietal cortex normalized over time for the EP group, relative to HC, coincident with improvements in reaction time and social-occupational functioning. To examine these group and timepoint differences, we used dynamic causal modeling to infer changes in effective connectivity between regions underlying the MSIT task execution, namely visual, anterior insula, anterior cingulate, and superior parietal cortical regions. To resolve stimulus conflict, EP participants transitioned from an indirect to a direct neuromodulation of sensory input to the anterior insula over timepoints, though not as strongly as HC participants. Stronger direct nonlinear modulation of the anterior insula by the superior parietal cortex at follow-up was associated with improved task performance. Overall, normalization of the CCS through adoption of more direct processing of complex sensory input to the anterior insula, was observed in EP after 12 months of treatment. Such processing of complex sensory input reflects a computational principle called gain control, which appears to track changes in cognitive trajectory within the EP group.
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Affiliation(s)
- Bjorn Burgher
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
| | - James Scott
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- Child Health Research Centre, The University of Queensland, Brisbane, QLD, Australia
| | - Luca Cocchi
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
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20
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Vallath S, Narasimhan L, Priyanka M, Varadarajan V, Ravikanth L. Prevalence, service use and clinical correlates of hallucinations and delusions in an out-patient population from India. J Ment Health 2023; 32:87-95. [PMID: 34152249 DOI: 10.1080/09638237.2021.1922627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
BACKGROUND Despite the persistent public health problem of positive psychotic symptoms, understanding of symptom specific prevalence rates, clinical correlates and service utilisation are sparse. AIMS The current study aimed to establish prevalence, clinical and service utilisation correlates of hallucinations and delusions in people accessing outpatient clinics in Tamil Nadu, India. METHODS Secondary patient data from outpatient clinics, over a 12-month period, in 2016, was used for analysis (N = 917). Based on the presence of positive psychotic symptoms (PPSx), the sample was divided into four groups for analysis- hallucinations-only (H), delusions-only (D), both hallucinations and delusions (HD) and neither PPSx (N-PPSx). RESULTS Findings indicate that the most prevalent PPSx were hallucinations (10.7%) however, barriers to service utilisation and clinical correlates were associated predominantly with the D and the HD group; as was severe work impairment. Yet, this group was most likely to remain with psychiatric services. Lastly, diagnostic challenges were apparent within the sample. CONCLUSIONS The study revealed that despite more barriers to service utilisation, persons with PPSx remain in contact with services. Yet prognosis remains only moderate at best, indicating other mediating and underlying factors impeding recovery may be interplaying and, therefore, a need for enhanced biopsychosocial approaches.
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Affiliation(s)
- Smriti Vallath
- Vrije Universiteit, Amsterdam, The Netherlands.,The Banyan, Chennai, India.,The Banyan Academy of Leadership in Mental Health (BALM), Kanchipuram, India
| | - Lakshmi Narasimhan
- The Banyan, Chennai, India.,The Banyan Academy of Leadership in Mental Health (BALM), Kanchipuram, India
| | - M Priyanka
- The Banyan Academy of Leadership in Mental Health (BALM), Kanchipuram, India
| | | | - Lakshmi Ravikanth
- The Banyan Academy of Leadership in Mental Health (BALM), Kanchipuram, India
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21
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Nagendra A, Weiss DM, Merritt C, Cather C, Sosoo EE, Mueser KT, Penn DL. Clinical and psychosocial outcomes of Black Americans in the Recovery After an Initial Schizophrenia Episode Early Treatment Program (RAISE-ETP) study. Soc Psychiatry Psychiatr Epidemiol 2023; 58:77-89. [PMID: 35932309 DOI: 10.1007/s00127-022-02297-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Accepted: 05/05/2022] [Indexed: 02/04/2023]
Abstract
PURPOSE In the US, Black people diagnosed with schizophrenia experience worse psychosocial and clinical outcomes than their White counterparts. While racism-related factors contribute to these disparities, an additional understudied explanation may be that psychosocial treatments for psychotic disorders are less effective for Black than White individuals. The purpose of this study is to examine the extent to which best treatment practices for first-episode psychosis (FEP) are effective for Black and White participants. METHODS We conducted a secondary data analysis of the Recovery After an Initial Schizophrenia Episode Early Treatment Program (RAISE-ETP), a two-year multisite trial that compared a coordinated specialty care intervention for FEP (NAVIGATE) to community care as usual (CC) in 34 sites across the US. Specifically, we compared interviewer-rated quality of life and symptoms, as well as self-reported mental health and stigma, between 139 Non-Latinx Black and 172 Non-Latinx White participants with FEP in NAVIGATE and CC. RESULTS We found few differences between Black and White participants over two-year outcomes, either overall or in terms of benefit from NAVIGATE. Across both treatment conditions, Black participants improved less than White participants on positive symptoms, an effect driven primarily by suspiciousness/persecution. In NAVIGATE, self-reported mental health stigma decreased for both Black and White participants, while in CC stigma decreased for White participants but increased for Black participants. This effect was driven primarily by experienced stigma rather than self-stigma. CONCLUSION NAVIGATE benefits both Black and White individuals diagnosed with FEP. Mental health stigma and positive symptoms may be particularly important aspects of treatment for Black individuals diagnosed with FEP.
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Affiliation(s)
- Arundati Nagendra
- Center of Excellence in Psychosocial and Systemic Research, Massachusetts General Hospital, Boston, MA, USA.
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
| | - David M Weiss
- Center for Psychiatric Research, Maine Medical Center Research Institute, Portland, ME, USA
| | - Carrington Merritt
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Corinne Cather
- Center of Excellence in Psychosocial and Systemic Research, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Effua E Sosoo
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Durham Veterans Affairs Health Care System, Durham, NC, USA
| | - Kim T Mueser
- Center for Psychiatric Rehabilitation, Departments of Occupational Therapy and Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - David L Penn
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, VIC, Australia
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22
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The relationship between negative symptoms, social cognition, and social functioning in patients with first episode psychosis. J Psychiatr Res 2022; 155:171-179. [PMID: 36041260 DOI: 10.1016/j.jpsychires.2022.08.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 07/18/2022] [Accepted: 08/04/2022] [Indexed: 11/21/2022]
Abstract
INTRODUCTION Social functioning is severely affected in psychotic disorders. Negative symptoms and social cognition seem to play an important role in social functioning, although the preponderance and relationship between these three domains is not clear. In this study, we sought to assess the interrelation between social cognition, social functioning, and the expressiveness and experiential factors of negative symptoms in first-episode psychosis (FEP). SAMPLE AND METHODS 216 patients, participants in a multicentre study (AGES-CM), comprised our study sample. The WHO Disability Assessment Schedule (WHODAS 2.0) was used to assess functioning, whereas the Positive and Negative Schizophrenia Syndrome Scale (PANSS) was used to measure the severity of negative symptoms, and the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) was applied to assess the emotional processing component of social cognition. Network analyses were conducted with the aim of analysing the patterns of relationships between social cognition, social functioning, and the expressiveness and experiential factors of negative symptoms. RESULTS Our findings suggest that there is a direct relationship between social cognition and social functioning (weight = -.077), but also an indirect connection between them, mediated by the experiential (but not the expressiveness) factor of negative symptoms (weight = 0.300). DISCUSSION The importance of the affectation of subdomains of social cognition, as well as the role of negative symptoms, specifically the experiential factor, in the functioning of patients with FEP seems to be relevant. The inclusion of these factors in prevention and treatment programs would thus allow us to reduce their impact on the social functioning of these patients.
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23
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Heterogeneity in Response to MCT and Psychoeducation: A Feasibility Study Using Latent Class Mixed Models in First-Episode Psychosis. Healthcare (Basel) 2022; 10:healthcare10112155. [DOI: 10.3390/healthcare10112155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 10/21/2022] [Accepted: 10/22/2022] [Indexed: 11/17/2022] Open
Abstract
Metacognitive training (MCT) is an effective treatment for psychosis. Longitudinal trajectories of treatment response are unknown but could point to strategies to maximize treatment efficacy during the first episodes. This work aims to explore the possible benefit of using latent class mixed models (LCMMs) to understand how treatment response differs between metacognitive training and psychoeducation. We conducted LCMMs in 28 patients that received MCT and 34 patients that received psychoeducation. We found that MCT is effective in improving cognitive insight in all patients but that these effects wane at follow-up. In contrast, psychoeducation does not improve cognitive insight, and may increase self-certainty in a group of patients. These results suggest that LCMMs are valuable tools that can aid in treatment prescription and in predicting response to specific treatments.
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24
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An observational study of antipsychotic medication discontinuation in first-episode psychosis: clinical and functional outcomes. Soc Psychiatry Psychiatr Epidemiol 2022; 57:1329-1340. [PMID: 35041015 DOI: 10.1007/s00127-022-02230-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 01/06/2022] [Indexed: 10/19/2022]
Abstract
PURPOSE To study the impact of supervised antipsychotic medication discontinuation on clinical and functional outcomes in first-episode psychosis (FEP) in two different cultural environments. METHOD FEP patients(N = 253), treated in two early intervention services (Montreal, Canada and Chennai, India) for 2 years, were assessed for medication use, positive and negative symptom remission and social-occupational functioning at regular intervals. RESULTS Between months 4 and 24 of treatment, 107 patients discontinued medication ('Off'group) as compared to 146 who stayed on medication ('On'group). Medication discontinuation was higher in Chennai as compared to Montreal (n = 80, 49.07% vs n = 27, 16.87%; χ2 37.80, p < 0.001), with no difference in time to discontinuation [Means(SDs) = 10.64(6.82) and 10.04(5.43), respectively, p = 0.71). At month 24 (N = 235), there were no differences in the rate of positive symptom remission between the on and Off groups (81.5 vs 88.0%, respectively) at both sites. The rate of negative symptom remission was lower among patients in the On compared to the Off group (63.2 vs 87.9%, respectively, χ2 = 17.91, p < 0.001), but only in Montreal (55.4% vs 80.0%, respectively, χ2 = 4.12, p < 0.05). Social and Occupational Functioning Assessment Scale scores were equally high in both Off and On medication groups in Chennai [Means (SDs) = 79.43(12.95) and 73.59(17.63), respectively] but higher in the Off compared to the On group in Montreal Means (SDs) = 77.47(14.97) and 64.94(19.02), respectively; Time × site interaction F = 3.96(1,217), p < 0.05]. Medication status (On-Off) had no impact on the outcomes, independent of other variables known to influence outcomes. CONCLUSION Certain cultural environments and patient characteristics may facilitate supervised discontinuation of antipsychotic medication following treatment of an FEP without negative consequences.
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25
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Köhler-Forsberg O, Madsen T, Behrendt-Møller I, Nordentoft M. The 10-year trajectories of auditory hallucinations among 496 patients with a first schizophrenia-spectrum disorder: Findings from the OPUS cohort. Schizophr Res 2022; 243:385-391. [PMID: 34272121 DOI: 10.1016/j.schres.2021.06.033] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 04/23/2021] [Accepted: 06/22/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Auditory hallucinations represent a key diagnostic feature of schizophrenia and one of the most frequent and debilitating psychotic symptoms. However, little is known regarding their long-term trajectories. METHODS We included 496 patients with a first schizophrenia-spectrum disorder. Patients were at baseline and after one, two, five, and ten years asked for auditory hallucinations, scoring from 0 ("None") to 5 ("Severe: Voices occur often every day"). We performed latent class growth analyses to identify trajectories of auditory hallucinations and multinomial logistic regression analyses to estimate predictors of trajectory membership. RESULTS We identified three trajectories of auditory hallucinations. The Low-Decreasing class (77%) had the lowest mean score at baseline (mean score = 2.1). The score improved within the first year (mean score = 0.5) and stayed low (mean score = 0 after ten years). The High-Fluctuating class (10%) improved during the first two years from a mean score of 3.0 to 1.0, but increased after five and ten years (mean score = 2.4). The High-Increasing class (13%) started at a high level (mean score = 3.5), improved a little after one year (mean score = 3.0), but increased to a mean score of 4.8 after ten years. Alcohol misuse and longer duration of untreated psychosis were associated with increased odds of being in the High-Increasing compared to the Low-Decreasing class. CONCLUSIONS The majority of patients with schizophrenia-spectrum disorder improved on auditory hallucinations during the first ten years, but almost one out of four had a fluctuating course with 13% experiencing an increase to severe and daily auditory hallucinations after ten years.
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Affiliation(s)
- Ole Köhler-Forsberg
- CORE, Mental Health Centre Copenhagen, Copenhagen University, Copenhagen, Denmark; Psychosis Research Unit, Aarhus University Hospital - Psychiatry, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
| | - Trine Madsen
- CORE, Mental Health Centre Copenhagen, Copenhagen University, Copenhagen, Denmark; Danish Research Institute for Suicide Prevention (DRISP), Copenhagen, Denmark
| | - Ida Behrendt-Møller
- CORE, Mental Health Centre Copenhagen, Copenhagen University, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Merete Nordentoft
- CORE, Mental Health Centre Copenhagen, Copenhagen University, Copenhagen, Denmark; Danish Research Institute for Suicide Prevention (DRISP), Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
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26
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Pelizza L, Leuci E, Maestri D, Quattrone E, Azzali S, Paulillo G, Pellegrini P. Examining disorganization in patients with first episode psychosis: Findings from a 1-year follow-up of the 'Parma early psychosis' program. Early Interv Psychiatry 2022; 16:552-560. [PMID: 34279049 DOI: 10.1111/eip.13198] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 05/09/2021] [Accepted: 07/04/2021] [Indexed: 12/22/2022]
Abstract
AIM Disorganization has been considered as a clinical domain close to the core of psychosis. However, it has received poor attention, especially at the illness onset. Moreover, most of the studies examining disorganized symptoms have been conducted in patients with chronic psychosis and research in the early stages of illness is still relatively scarce. Thus, the aims of this study were (a) to longitudinally monitor the stability of disorganization in patients with first episode psychosis (FEP) across a 1-year follow-up period, and (b) to investigate any relevant association of disorganized symptoms with functioning, psychopathology and the specific treatment components of an 'early intervention in psychosis' (EIP) program along the 1 year of follow-up. METHODS At baseline, 312 FEP participants (aged 12-35 years) completed the positive and negative syndrome scale (PANSS) and the global assessment of functioning (GAF). Spearman's correlations and multiple linear regression analysis were used. RESULTS At baseline, disorganization showed significant associations with all PANSS subscores, and a relevant negative correlation with GAF score. Across the follow-up, FEP individuals showed a significant improvement in disorganization severity. This decrease was specifically related to both baseline antipsychotic dosage and the number of individual cognitive-behavioural therapy sessions offered across the 1-year follow-up period. CONCLUSIONS Disorganization is clinically relevant in FEP patients, already ate the enrollment in an EIP program. However, it tends to improve over time together with the delivery of specialized, person-tailored FEP interventions within a specific EIP protocol.
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Affiliation(s)
- Lorenzo Pelizza
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Parma, Italy
| | - Emanuela Leuci
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Parma, Italy
| | - Davide Maestri
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Parma, Italy
| | - Emanuela Quattrone
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Parma, Italy
| | - Silvia Azzali
- Department of Mental Health and Pathological Addiction, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Giuseppina Paulillo
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Parma, Italy
| | - Pietro Pellegrini
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Parma, Italy
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27
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O'Sullivan S, Schmaal L, D'Alfonso S, Toenders YJ, Valentine L, McEnery C, Bendall S, Nelson B, Gleeson JF, Alvarez-Jimenez M. Characterizing Use of a Multicomponent Digital Intervention to Predict Treatment Outcomes in First-Episode Psychosis: Cluster Analysis. JMIR Ment Health 2022; 9:e29211. [PMID: 35389351 PMCID: PMC9030973 DOI: 10.2196/29211] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 06/18/2021] [Accepted: 01/10/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Multicomponent digital interventions offer the potential for tailored and flexible interventions that aim to address high attrition rates and increase engagement, an area of concern in digital mental health. However, increased flexibility in use makes it difficult to determine which components lead to improved treatment outcomes. OBJECTIVE This study aims to identify user profiles on Horyzons, an 18-month digital relapse prevention intervention for first-episode psychosis that incorporates therapeutic content and social networking, along with clinical, vocational, and peer support, and to examine the predictive value of these user profiles for treatment outcomes. A secondary objective is to compare each user profile with young people receiving treatment as usual (TAU). METHODS Participants comprised 82 young people (aged 16-27 years) with access to Horyzons and 84 receiving TAU, recovering from first-episode psychosis. In addition, 6-month use data from the therapy and social networking components of Horyzons were used as features for K-means clustering for joint trajectories to identify user profiles. Social functioning, psychotic symptoms, depression, and anxiety were assessed at baseline and 6-month follow-up. General linear mixed models were used to examine the predictive value of user profiles for treatment outcomes and between each user profile with TAU. RESULTS A total of 3 user profiles were identified based on the following system use metrics: low use, maintained use of social components, and maintained use of both therapy and social components. The maintained therapy and social group showed improvements in social functioning (F2,51=3.58; P=.04), negative symptoms (F2,51=4.45; P=.02), and overall psychiatric symptom severity (F2,50=3.23; P=.048) compared with the other user profiles. This group also showed improvements in social functioning (F1,62=4.68; P=.03), negative symptoms (F1,62=14.61; P<.001), and overall psychiatric symptom severity (F1,63=5.66; P=.02) compared with the TAU group. Conversely, the maintained social group showed increases in anxiety compared with the TAU group (F1,57=7.65; P=.008). No differences were found between the low use group and the TAU group on treatment outcomes. CONCLUSIONS Continued engagement with both therapy and social components might be key in achieving long-term recovery. Maintained social use and low use outcomes were broadly comparable with TAU, emphasizing the importance of maintaining engagement for improved treatment outcomes. Although the social network may be a key ingredient to increase sustained engagement, as users engaged with this more consistently, it should be leveraged as a tool to engage young people with therapeutic content to bring about social and clinical benefits.
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Affiliation(s)
- Shaunagh O'Sullivan
- Orygen, Parkville, Australia.,Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Lianne Schmaal
- Orygen, Parkville, Australia.,Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Simon D'Alfonso
- Orygen, Parkville, Australia.,School of Computing and Information Systems, University of Melbourne, Melbourne, Australia
| | - Yara Jo Toenders
- Orygen, Parkville, Australia.,Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Lee Valentine
- Orygen, Parkville, Australia.,Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Carla McEnery
- Orygen, Parkville, Australia.,Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Sarah Bendall
- Orygen, Parkville, Australia.,Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Barnaby Nelson
- Orygen, Parkville, Australia.,Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - John F Gleeson
- Health Brain and Mind Research Centre, Australian Catholic University, Melbourne, Australia.,School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, Australia
| | - Mario Alvarez-Jimenez
- Orygen, Parkville, Australia.,Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
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28
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Haas SS, Doucet GE, Antoniades M, Modabbernia A, Corcoran CM, Kahn RS, Kambeitz J, Kambeitz-Ilankovic L, Borgwardt S, Brambilla P, Upthegrove R, Wood SJ, Salokangas RK, Hietala J, Meisenzahl E, Koutsouleris N, Frangou S. Evidence of discontinuity between psychosis-risk and non-clinical samples in the neuroanatomical correlates of social function. Schizophr Res Cogn 2022; 29:100252. [PMID: 35391789 PMCID: PMC8980307 DOI: 10.1016/j.scog.2022.100252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 03/26/2022] [Accepted: 03/27/2022] [Indexed: 11/28/2022]
Abstract
Objective Social dysfunction is a major feature of clinical-high-risk states for psychosis (CHR-P). Prior research has identified a neuroanatomical pattern associated with impaired social function outcome in CHR-P. The aim of the current study was to test whether social dysfunction in CHR-P is neurobiologically distinct or in a continuum with the lower end of the normal distribution of individual differences in social functioning. Methods We used a machine learning classifier to test for the presence of a previously validated brain structural pattern associated with impaired social outcome in CHR-P (CHR-outcome-neurosignature) in the neuroimaging profiles of individuals from two non-clinical samples (total n = 1763) and examined its association with social function, psychopathology and cognition. Results Although the CHR-outcome-neurosignature could be detected in a subset of the non-clinical samples, it was not associated was adverse social outcomes or higher psychopathology levels. However, participants whose neuroanatomical profiles were highly aligned with the CHR-outcome-neurosignature manifested subtle disadvantage in fluid (PFDR = 0.004) and crystallized intelligence (PFDR = 0.01), cognitive flexibility (PFDR = 0.02), inhibitory control (PFDR = 0.01), working memory (PFDR = 0.0005), and processing speed (PFDR = 0.04). Conclusions We provide evidence of divergence in brain structural underpinnings of social dysfunction derived from a psychosis-risk enriched population when applied to non-clinical samples. This approach appears promising in identifying brain mechanisms bound to psychosis through comparisons of patient populations to non-clinical samples with the same neuroanatomical profiles.
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Affiliation(s)
- Shalaila S. Haas
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
| | - Gaelle E. Doucet
- Institute for Human Neuroscience, Boys Town National Research Hospital, 14090 Mother Teresa Lane, Boys Town, NE 68010, USA
| | - Mathilde Antoniades
- Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia 19104, USA
| | - Amirhossein Modabbernia
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
| | - Cheryl M. Corcoran
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
| | - René S. Kahn
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
| | - Joseph Kambeitz
- University of Cologne, Faculty of Medicine and University Hospital of Cologne, Kerpener Strasse 62, 50937 Cologne, Germany
| | - Lana Kambeitz-Ilankovic
- University of Cologne, Faculty of Medicine and University Hospital of Cologne, Kerpener Strasse 62, 50937 Cologne, Germany,Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Nussbaumstraße 7, 80336 München, Germany
| | - Stefan Borgwardt
- Department of Psychiatry, University Psychiatric Clinics (UPK), University of Basel, Wilhelm Klein-Strasse 27, 4002 Basel, Switzerland,Department of Psychiatry, Psychosomatics and Psychotherapy, Translational Psychiatry Unit, University of Lübeck, Lübeck 23538, Germany
| | - Paolo Brambilla
- Department of Neuroscience and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Francesco Sforza, 35, 20122 Milano, Italy,Department of Pathophysiology and Mental Health, University of Milan, Via Francesco Sforza 35, 20122 Milano, Italy
| | - Rachel Upthegrove
- Early Intervention Service, Birmingham Womens and Childrens NHS Trust, Steelhouse Lane, Birmingham, B4 6NH, UK,Institute for Mental Health and Centre for Human Brain Health, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
| | - Stephen J. Wood
- Department of Pathophysiology and Mental Health, University of Milan, Via Francesco Sforza 35, 20122 Milano, Italy,Orygen, 35 Poplar Rd, Parkville, VIC 3052, Australia,Centre for Youth Mental Health, University of Melbourne, Grattan Street, Parkville, Victoria 3010, Australia
| | - Raimo K.R. Salokangas
- Department of Psychiatry, University of Turku and Turku University Hospital, FI-20014 Turun yliopisto, Finland
| | - Jarmo Hietala
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Moorenstrße 5, 40225 Düsseldorf, Germany
| | - Eva Meisenzahl
- Max-Planck Institute of Psychiatry, Kraepelinstraße 2-10, 80804 München, Germany
| | - Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Nussbaumstraße 7, 80336 München, Germany,Max-Planck Institute of Psychiatry, Kraepelinstraße 2-10, 80804 München, Germany,Institute of Psychiatry, Psychology and Neuroscience, King's College London, Denmark Hill, SE5 8AF London, UK
| | - Sophia Frangou
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA,Department of Psychiatry, Djavad Mowafaghian Centre for Brain Health, 2215 Wesbrook Mall, Vancouver, BC V6T 1Z3, Canada,Corresponding author at: Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, NY, 10029, NY, USA.
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29
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Tamminga CA, Pearlson G, Gershon E, Keedy S, Hudgens-Haney ME, Ivleva EI, Parker DA, McDowell JE, Clementz B. Using psychosis biotypes and the Framingham model for parsing psychosis biology. Schizophr Res 2022; 242:132-134. [PMID: 35123865 DOI: 10.1016/j.schres.2022.01.018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 01/11/2022] [Indexed: 12/28/2022]
Abstract
The Bipolar-Schizophrenia Network for Intermediate Phenotypes (B-SNIP) has invested in the collection and use of multiple biomarkers in individuals with psychosis. We expect psychosis biology and its distinctive types to be reflected in the biomarkers, as they are the 'behaviors' of the brain. Like infectious diseases, we expect the etiologies of these biomarker-driven entities to be multiple and complex. Biomarkers have not yet been annotated with disease characteristics and need to be. As a model, we seek to adopt aspects of the Framingham Heart Study (FHS) to guide and organize these observations.
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Affiliation(s)
| | | | - Elliot Gershon
- University of Chicago, Chicago, IL, United States of America
| | - Sarah Keedy
- University of Chicago, Chicago, IL, United States of America
| | | | | | - David A Parker
- University of Georgia, Athens, GA, United States of America
| | | | - Brett Clementz
- University of Georgia, Athens, GA, United States of America
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30
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Amoretti S, Rosa AR, Mezquida G, Cabrera B, Ribeiro M, Molina M, Bioque M, Lobo A, González-Pinto A, Fraguas D, Corripio I, Vieta E, de la Serna E, Morro L, Garriga M, Torrent C, Cuesta MJ, Bernardo M. The impact of cognitive reserve, cognition and clinical symptoms on psychosocial functioning in first-episode psychoses. Psychol Med 2022; 52:526-537. [PMID: 32900395 DOI: 10.1017/s0033291720002226] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
BACKGROUND Functional impairment is a defining feature of psychotic disorders. A range of factors has been shown to influence functioning, including negative symptoms, cognitive performance and cognitive reserve (CR). However, it is not clear how these variables may affect functioning in first-episode psychosis (FEP) patients. This 2-year follow-up study aimed to explore the possible mediating effects of CR on the relationship between cognitive performance or specific clinical symptoms and functional outcome. METHODS A prospective study of non-affective FEP patients was performed (211 at baseline and 139 at follow-up). CR was entered in a path analysis model as potential mediators between cognitive domains or clinical symptoms and functioning. RESULTS At baseline, the relationship between clinical variables or cognitive performance and functioning was not mediated by CR. At follow-up, the effect of attention (p = 0.003) and negative symptoms (p = 0.012) assessed at baseline on functioning was partially mediated by CR (p = 0.032 and 0.016), whereas the relationship between verbal memory (p = 0.057) and functioning was mediated by CR (p = 0.014). Verbal memory and positive and total subscales of PANSS assessed at follow-up were partially mediated by CR and the effect of working memory on functioning was totally mediated by CR. CONCLUSIONS Our results showed the influence of CR in mediating the relationship between cognitive domains or clinical symptoms and functioning in FEP. In particular, CR partially mediated the relationship between some cognitive domains or clinical symptoms and functioning at follow-up. Therefore, CR could improve our understanding of the long-term functioning of patients with a non-affective FEP.
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Affiliation(s)
- Silvia Amoretti
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, University of Barcelona, Spain
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Adriane R Rosa
- Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Postgraduate Program: Psychiatry and Behavioral Science, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- Department of Pharmacology and Postgraduate Program: Pharmacology and Therapeutics, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
| | - Gisela Mezquida
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, University of Barcelona, Spain
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Bibiana Cabrera
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, University of Barcelona, Spain
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - María Ribeiro
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Mariola Molina
- Instituto de Investigación Sanitaria Gregorio Marañón. School of Psychology, Complutense University, Madrid, Spain
| | - Miquel Bioque
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, University of Barcelona, Spain
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Antonio Lobo
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
- Department of Medicine and Psychiatry. Zaragoza University. Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain
| | - Ana González-Pinto
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
- Department of Psychiatry, Hospital Universitario de Álava (Sede Santiago), University of the Basque Country (UPV-EHU), Bioaraba Research Institute, Spain
| | - David Fraguas
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Institute of Psychiatry and Mental Health, IiSGM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Iluminada Corripio
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
- Psychiatry Department, Institut d'Investigació Biomèdica-Sant Pau (IIB-SANT PAU), Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Eduard Vieta
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, University of Barcelona, Barcelona, Catalonia, Spain
| | - Elena de la Serna
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
- Child and Adolescent Psychiatry and Psychology Department, 2017SGR881, Institute of Neurosciences, Hospital Clinic of Barcelona, Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Laura Morro
- Hospital del Mar, Department of Psychiatry, Barcelona, Spain
| | - Marina Garriga
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, University of Barcelona, Barcelona, Catalonia, Spain
| | - Carla Torrent
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, University of Barcelona, Barcelona, Catalonia, Spain
| | - Manuel J Cuesta
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Miguel Bernardo
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, University of Barcelona, Spain
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
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31
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Serra-Navarro M, Amoretti S, Verdolini N, Forte MF, Sánchez-Torres AM, Vieta E, Clougher D, Lobo A, González-Pinto A, Panadero R, Roldán A, Carvalho AF, de la Serna E, Toll A, Ramos-Quiroga JA, Torrent C, Cuesta MJ, Bernardo M. Influence of clinical and neurocognitive factors in psychosocial functioning after a first episode non-affective psychosis: Differences between males and females. Front Psychiatry 2022; 13:982583. [PMID: 36339856 PMCID: PMC9632657 DOI: 10.3389/fpsyt.2022.982583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 09/28/2022] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Deficits in psychosocial functioning are present in the early stages of psychosis. Several factors, such as premorbid adjustment, neurocognitive performance, and cognitive reserve (CR), potentially influence functionality. Sex differences are observed in individuals with psychosis in multiple domains. Nonetheless, few studies have explored the predictive factors of poor functioning according to sex in first-episode psychosis (FEP). This study aimed to explore sex differences, examine changes, and identify predictors of functioning according to sex after onset. MATERIALS AND METHODS The initial sample comprised 588 individuals. However, only adults with non-affective FEP (n = 247, 161 males and 86 females) and healthy controls (n = 224, 142 males and 82 females) were included. A comprehensive assessment including functional, neuropsychological, and clinical scales was performed at baseline and at 2-year follow-up. A linear regression model was used to determine the predictors of functioning at 2-year follow-up. RESULTS FEP improved their functionality at follow-up (67.4% of both males and females). In males, longer duration of untreated psychosis (β = 0.328, p = 0.003) and worse premorbid adjustment (β = 0.256, p = 0.023) were associated with impaired functioning at 2-year follow-up, while in females processing speed (β = 0.403, p = 0.003), executive function (β = 0.299, p = 0.020) and CR (β = -0.307, p = 0.012) were significantly associated with functioning. CONCLUSION Our data indicate that predictors of functioning at 2-year follow-up in the FEP group differ according to sex. Therefore, treatment and preventative efforts may be adjusted taking sex into account. Males may benefit from functional remediation at early stages. Conversely, in females, early interventions centered on CR enhancement and cognitive rehabilitation may be recommended.
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Affiliation(s)
- Maria Serra-Navarro
- Bipolar and Depressive Disorders Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, IDIBAPS, University of Barcelona, Barcelona, Catalonia, Spain.,Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
| | - Silvia Amoretti
- Bipolar and Depressive Disorders Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, IDIBAPS, University of Barcelona, Barcelona, Catalonia, Spain.,Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain.,Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, August Pi I Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, Barcelona, Spain.,Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addictions, Vall d'Hebron Research Institute (VHIR), Barcelona, Catalonia, Spain
| | - Norma Verdolini
- Bipolar and Depressive Disorders Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, IDIBAPS, University of Barcelona, Barcelona, Catalonia, Spain.,Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain.,Local Health Unit Umbria 1, Department of Mental Health, Mental Health Center of Perugia, Perugia, Italy
| | - María Florencia Forte
- Bipolar and Depressive Disorders Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, IDIBAPS, University of Barcelona, Barcelona, Catalonia, Spain.,Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, August Pi I Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Ana M Sánchez-Torres
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain.,IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, IDIBAPS, University of Barcelona, Barcelona, Catalonia, Spain.,Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
| | - Derek Clougher
- Bipolar and Depressive Disorders Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, IDIBAPS, University of Barcelona, Barcelona, Catalonia, Spain
| | - Antonio Lobo
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain.,Department of Medicine and Psychiatry, Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza University, Zaragoza, Spain
| | - Ana González-Pinto
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain.,Araba University Hospital, Bioaraba Research Institute, Vitoria-Gasteiz, Spain.,Department of Psychiatry, University of the Basque Country (UPV-EHU), Vitoria-Gasteiz, Spain
| | - Rocío Panadero
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain.,Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, School of Medicine, Institute of Psychiatry and Mental Health, Universidad Complutense, IiSGM, Madrid, Spain
| | - Alexandra Roldán
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain.,Department of Psychiatry, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica-Sant Pau (IIB-SANT PAU), Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - André F Carvalho
- Innovation in Mental and Physical Health and Clinical Treatment (IMPACT), School of Medicine, Barwon Health, The Institute for Mental and Physical Health and Clinical Translation, Deakin University, Geelong, VIC, Australia
| | - Elena de la Serna
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain.,Department of Child and Adolescent Psychiatry and Psychology, 2017SGR881, Institut Clínic de Neurociències, Hospital Clínic Universitari, CIBERSAM, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Alba Toll
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain.,Hospital del Mar Medical Research Institute (IMIM), Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - J A Ramos-Quiroga
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain.,Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addictions, Vall d'Hebron Research Institute (VHIR), Barcelona, Catalonia, Spain.,Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Catalonia, Spain.,Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
| | - Carla Torrent
- Bipolar and Depressive Disorders Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, IDIBAPS, University of Barcelona, Barcelona, Catalonia, Spain.,Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
| | - Manuel J Cuesta
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain.,IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Miguel Bernardo
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain.,Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, August Pi I Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, Barcelona, Spain
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32
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Engen MJ, Vaskinn A, Melle I, Færden A, Lyngstad SH, Flaaten CB, Widing LH, Wold KF, Åsbø G, Haatveit B, Simonsen C, Ueland T. Cognitive and Global Functioning in Patients With First-Episode Psychosis Stratified by Level of Negative Symptoms. A 10-Year Follow-Up Study. Front Psychiatry 2022; 13:841057. [PMID: 35401286 PMCID: PMC8990888 DOI: 10.3389/fpsyt.2022.841057] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 03/07/2022] [Indexed: 11/18/2022] Open
Abstract
Negative and cognitive symptoms are core features of schizophrenia that are correlated in cross-sectional designs. To further explore the relationship between these critical symptom dimensions we use a method for stratifying participants based on level and persistence of negative symptoms from absent to sustained levels over a 10-year follow-up period. We investigate associations with cognitive performance and level of global functioning. First-episode psychosis (FEP) participants (n = 102) and healthy controls (n = 116) were assessed at baseline and follow-up. A cognitive battery consisting of 14 tests derived into four domains and a composite score were used in the analyses. FEP participants were stratified based on negative symptom items from the Positive and Negative Syndrome Scale (PANSS-R) into four groups with either no, mild, transitory or sustained symptoms over the 10-year follow-up period. Global functioning was measured with Global Assessment of Functioning Scale-Split version. Multivariate and univariate analyses of variance were used to explore between-group differences in level and course of cognitive performance as global functioning. A multivariate analysis with four cognitive domains as dependent variables, showed significant group differences in performance when including healthy controls and the negative symptom groups. The groups with no and mild negative symptoms outperformed the group with sustained levels of negative symptoms on verbal learning and memory. The group with no negative symptoms also outperformed the group with sustained negative symptoms on the cognitive composite score. Significant improvements on verbal learning and memory, executive functioning and the cognitive composite were detected for the entire sample. No differences in cognitive course were detected. There was a significant improvement in global functioning as measured by the GAF-F over the follow-up period (p < 0.001), without any time x group interactions (p = 0.25). Participants with sustained negative symptoms had a significantly lower level of global functioning at 10-year follow-up with an additional independent effect of the cognitive composite score, compared to all other groups. Individuals with an early illness course characterized by absence of negative symptoms form a group with better cognitive and functional outcomes than the impairments typically associated with schizophrenia. Individuals with sustained levels of negative symptoms on the other hand may require a combined focus on both negative and cognitive symptoms.
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Affiliation(s)
- Magnus Johan Engen
- Division of Mental Health and Addiction, Nydalen DPS, Oslo University Hospital, Oslo, Norway.,Department of Psychology, Faculty of Social Sciences, University of Oslo, Oslo, Norway
| | - Anja Vaskinn
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Centre for Research and Education in Forensic Psychiatry, Oslo University Hospital, Oslo, Norway
| | - Ingrid Melle
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Division of Mental Health and Addiction, Section for Psychosis Research, Oslo University Hospital, Oslo, Norway
| | - Ann Færden
- Division of Mental Health and Addiction, Department of Acute Psychiatry, Oslo University Hospital, Oslo, Norway
| | - Siv Hege Lyngstad
- Division of Mental Health and Addiction, Nydalen DPS, Oslo University Hospital, Oslo, Norway
| | - Camilla Bärthel Flaaten
- Department of Psychology, Faculty of Social Sciences, University of Oslo, Oslo, Norway.,Division of Mental Health and Addiction, Section for Psychosis Research, Oslo University Hospital, Oslo, Norway
| | - Line Hustad Widing
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Division of Mental Health and Addiction, Section for Psychosis Research, Oslo University Hospital, Oslo, Norway
| | - Kristin Fjelnseth Wold
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Gina Åsbø
- Department of Psychology, Faculty of Social Sciences, University of Oslo, Oslo, Norway.,Division of Mental Health and Addiction, Section for Psychosis Research, Oslo University Hospital, Oslo, Norway
| | - Beathe Haatveit
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Division of Mental Health and Addiction, Section for Psychosis Research, Oslo University Hospital, Oslo, Norway
| | - Carmen Simonsen
- Early Intervention in Psychosis Advisory Unit for South-East Norway, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Torill Ueland
- Department of Psychology, Faculty of Social Sciences, University of Oslo, Oslo, Norway.,Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Division of Mental Health and Addiction, Section for Psychosis Research, Oslo University Hospital, Oslo, Norway
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33
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Golay P, Ramain J, Jenni R, Klauser P, Mebdouhi N, Conus P, Solida A. Six months functional response to early psychosis intervention program best predicts outcome after three years. Schizophr Res 2021; 238:62-69. [PMID: 34607255 DOI: 10.1016/j.schres.2021.09.022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 09/16/2021] [Accepted: 09/26/2021] [Indexed: 01/31/2023]
Abstract
BACKGROUND Not all patients respond well to early interventions for their psychosis. The present study's goal was to evaluate whether patients' responses in the first six months of treatment in a specialised three-year programme could predict final outcomes. METHODS 206 early psychosis patients were assessed at baseline, using a large set of sociodemographic and clinical variables, and then monitored for 36 months. Among those variables, changes in their Global Assessment of Functioning (GAF) scores during the first six months were used to predict outcomes after three years. RESULTS Changes in GAF scores during the first six months were the only variables that predicted every symptom of functional outcome. GAF scores were also always the first or second most important predictor for every outcome. This finding held for both high- and low-functioning patients at baseline. CONCLUSIONS Predicting poor long-term outcomes after only six months should help clinicians to improve treatments.
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Affiliation(s)
- Philippe Golay
- Service of General Psychiatry, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital and University of Lausanne, Switzerland; Service of Community Psychiatry, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Switzerland.
| | - Julie Ramain
- Service of General Psychiatry, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital and University of Lausanne, Switzerland
| | - Raoul Jenni
- Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital (CHUV), Switzerland
| | - Paul Klauser
- Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital (CHUV), Switzerland; Service of Child and Adolescent Psychiatry, Department of Psychiatry, Lausanne University Hospital (CHUV), Switzerland
| | - Nadir Mebdouhi
- Service of General Psychiatry, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital and University of Lausanne, Switzerland
| | - Philippe Conus
- Service of General Psychiatry, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital and University of Lausanne, Switzerland
| | - Alessandra Solida
- Service of General Psychiatry, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital and University of Lausanne, Switzerland
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Cheng X, Zhang H, Zhang J, Xu P, Jin P, Fang H, Chu K, Ke X. Comparison of clinical characteristics and treatment efficacy in childhood-onset schizophrenia and adolescent-onset schizophrenia in mainland China: A retrospective study. Early Interv Psychiatry 2021; 15:1721-1729. [PMID: 33465837 DOI: 10.1111/eip.13121] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Revised: 12/18/2020] [Accepted: 01/04/2021] [Indexed: 12/23/2022]
Abstract
AIM The comparative study of childhood-onset schizophrenia (COS) and adolescent-onset schizophrenia (AOS) is scarce. This study aimed to examine the differences in clinical presentations and treatment efficacy between COS and AOS and further analyse the factors affecting the efficacy of early-onset schizophrenia (EOS). METHODS A total of 582 electronic medical records of inpatients with EOS (216 COS and 366 AOS inpatients) between 2012 and 2019 were retrospectively analysed. The positive and negative syndrome scale (PANSS) was used to assess psychotic symptoms. Logistic regression analysis was performed to analyse the predictors of efficacy. RESULTS The mean age of onset of EOS was 12.87 ± 2.19 years. The importance of better diagnosing COS appeared in a longer illness course, more frequently insidious onset, less frequent delusions, more severe negative symptoms and bizarre behaviours than AOS. Besides, COS had more frequent visual hallucinations and impulsive behaviours than AOS. After hospitalization, the improvement rate of psychotic symptoms in COS and AOS were 38.3% and 47.8%, respectively. The difference of efficacy between the two groups was statistically significant. Days of hospitalization, age of onset, presence of flat affect, PANSS total and negative score at admission were predictors of treatment efficacy in EOS individuals. CONCLUSIONS COS inpatients suffer more obvious negative symptoms, bizarre behaviours, visual hallucinations and impulsive behaviours and worse efficacy than AOS inpatients. The severity of negative symptoms and age of onset seem the most noteworthy predictors of efficacy. These findings highlight the importance of early detection and early intervention.
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Affiliation(s)
- Xin Cheng
- The Child Mental Health Research Center, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Huihui Zhang
- The Child Mental Health Research Center, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Jiuping Zhang
- The Child Mental Health Research Center, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Ping Xu
- Department of Psychiatry, Nanjing Lishui Psychiatric Hospital, Nanjing, China
| | - Peiying Jin
- The Child Mental Health Research Center, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Hui Fang
- The Child Mental Health Research Center, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Kangkang Chu
- The Child Mental Health Research Center, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Xiaoyan Ke
- The Child Mental Health Research Center, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
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35
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O'Driscoll C, Shaikh M, Finamore C, Platt B, Pappa S, Saunders R. Profiles and trajectories of mental health service utilisation during early intervention in psychosis. Schizophr Res 2021; 237:47-53. [PMID: 34500375 DOI: 10.1016/j.schres.2021.08.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 08/23/2021] [Accepted: 08/23/2021] [Indexed: 11/24/2022]
Abstract
BACKGROUND Early intervention in psychosis services (EIS) support individuals experiencing a first episode of psychosis. Support required will vary in response to the remittance and reoccurrence of symptoms, including relapses. Characterising individuals who will need more intensive support can inform care planning. This study explores service utilisation profiles and their trajectories of service use in a sample of individuals referred to EIS. METHOD We analysed service utilisation during the 3 years following referral to EIS (n = 2363) in West London between 2011 and 2020. Mental health service utilisation data were submitted to model-based clustering. Latent growth models were then estimated for identified profiles. Profiles were compared regarding clinical and demographic characteristics and onward pathways of care. RESULTS Analyses revealed 5 profiles of individuals attending EIS based on their service utilisation over 3 years. 55.5% of the sample were members of a low utilisation and less clinically severe profile. The distinct service use patterns of these profiles were associated with Health of the Nations Outcome Scale scores at treatment initiation (at total, subscale, and individual item level), along with age and gender. These patterns of use were also associated with onward care and ethnicity. CONCLUSIONS Profiles and trajectories of service utilisation call for development of integrated care pathways and use of more personalised interventions. Services should consider patient symptoms and characteristics when making clinical decisions informing the provision of care. The profiles represent typical patterns of service use, and identifying factors associated with these subgroups might help optimise EIS support.
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Affiliation(s)
- Ciarán O'Driscoll
- Research Department of Clinical, Educational and Health Psychology, University College London, London, UK.
| | - Madiha Shaikh
- Research Department of Clinical, Educational and Health Psychology, University College London, London, UK; North East London NHS Foundation Trust, London, UK
| | | | | | | | - Robert Saunders
- Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
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36
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Amoretti S, Rabelo-da-Ponte FD, Rosa AR, Mezquida G, Sánchez-Torres AM, Fraguas D, Cabrera B, Lobo A, González-Pinto A, Pina-Camacho L, Corripio I, Vieta E, Torrent C, de la Serna E, Bergé D, Bioque M, Garriga M, Serra M, Cuesta MJ, Bernardo M. Cognitive clusters in first-episode psychosis. Schizophr Res 2021; 237:31-39. [PMID: 34481203 DOI: 10.1016/j.schres.2021.08.021] [Citation(s) in RCA: 5] [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: 10/20/2020] [Revised: 07/15/2021] [Accepted: 08/22/2021] [Indexed: 02/08/2023]
Abstract
Impairments in a broad range of cognitive domains have been consistently reported in some individuals with first-episode psychosis (FEP). Cognitive deficits can be observed during the prodromal stage. However, the course of cognitive deficits is still unclear. The aim of this study was to identify cognitive subgroups over time and to compare their sociodemographic, clinical and functional profiles. A total of 114 patients with Schizophrenia Spectrum Disorders were included in the present study. We assessed subjects through psychiatric scales and eight neuropsychological tests at baseline and at two-year follow-up visit. We performed the Partition Around Medoids algorithm with all cognitive variables. Furthermore, we performed a logistic regression to identify the predictors related to the different cognitive clusters at follow-up. Two distinct subgroups were found: the first cluster characterized by cognitive impairment and a second cluster had relatively intact cognition in comparison with norms. Up to 54.7% of patients with cognitive deficits at baseline tended to improve during the first two years of treatment. Patients with intact cognition at follow-up had a higher socioeconomic status, later age of onset, lower negative symptoms and a higher cognitive reserve (CR) at baseline. CR and age of onset were the baseline variables that predicted cognitive impairment. This research allows us to obtain a better understanding of the heterogeneous profile of psychotic disorders. Identifying the characteristics of patients who will present a cognitive impairment could improve early detection and intervention. These results suggest that enhancing CR could contribute to improving the course of the illness.
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Affiliation(s)
- Silvia Amoretti
- Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, Department of Medicine, University of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Spain; Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain; Bipolar and Depressive Disorders Unit, Institute of Neurosciences, University of Barcelona, Barcelona, Catalonia, Spain; Department of Psychiatry, Hospital Universitari Vall d'Hebron, Group of Psychiatry, Mental Health and Addictions, Psychiatric Genetics Unit, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain
| | | | - Adriane Ribeiro Rosa
- Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Federal University of Rio Grande do Sul, Brazil; Department of Pharmacology, Postgraduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul (UFRGS), Rua Ramiro Barcelos, Porto Alegre, RS, Brazil
| | - Gisela Mezquida
- Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, Department of Medicine, University of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Spain; Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain
| | - Ana M Sánchez-Torres
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - David Fraguas
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain; Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, School of Medicine, Universidad Complutense de Madrid, Spain
| | - Bibiana Cabrera
- Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, Department of Medicine, University of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Spain; Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain
| | - Antonio Lobo
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain; Department of Medicine and Psychiatry, Zaragoza University, Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain
| | - Ana González-Pinto
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain; Department of Psychiatry, Araba University Hospital, Bioaraba Research Institute, Department of Neurociences, University of the Basque Country, Vitoria, Spain
| | - Laura Pina-Camacho
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain; Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón, School of Medicine, Universidad Complutense de Madrid, Spain
| | - Iluminada Corripio
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain; Psychiatry Department, Institut d'Investigació Biomèdica-Sant Pau (IIB-SANT PAU), Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Eduard Vieta
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain; Bipolar and Depressive Disorders Unit, Institute of Neurosciences, University of Barcelona, Barcelona, Catalonia, Spain
| | - Carla Torrent
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain; Bipolar and Depressive Disorders Unit, Institute of Neurosciences, University of Barcelona, Barcelona, Catalonia, Spain
| | - Elena de la Serna
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain; Department of Child and Adolescent Psychiatry and Psychology, 2017SGR881, Clínic Institute of Neurosciences, Hospital Clínic de Barcelona, IDIBAPS, Department of Medicine, University of Barcelona, Spain
| | - Daniel Bergé
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain; Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain; Autonomous Universitiy of Barcelona (UAB), Barcelona, Spain
| | - Miquel Bioque
- Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, Department of Medicine, University of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Spain; Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain
| | - Marina Garriga
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain; Bipolar and Depressive Disorders Unit, Institute of Neurosciences, University of Barcelona, Barcelona, Catalonia, Spain
| | - Maria Serra
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, University of Barcelona, Barcelona, Catalonia, Spain
| | - Manuel J Cuesta
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Miguel Bernardo
- Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, Department of Medicine, University of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Spain; Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain.
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Verdolini N, Amoretti S, Mezquida G, Cuesta MJ, Pina-Camacho L, García-Rizo C, Lobo A, González-Pinto A, Merchán-Naranjo J, Corripio I, Salagre E, Baeza I, Bergé D, Garriga M, Bioque M, Vallespir C, Serra M, Vieta E, Bernardo M. The effect of family environment and psychiatric family history on psychosocial functioning in first-episode psychosis at baseline and after 2 years. Eur Neuropsychopharmacol 2021; 49:54-68. [PMID: 33857739 DOI: 10.1016/j.euroneuro.2021.03.015] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 03/01/2021] [Accepted: 03/15/2021] [Indexed: 01/13/2023]
Abstract
The aim of the present study was to evaluate the contribution of family environment styles and psychiatric family history on functioning of patients presenting first-episode psychosis (FEP). Patients with FEP and healthy controls (HC) were assessed at baseline and after 2 years. The Functional Assessment Short Test (FAST) was used to assess functional outcome and the Family Environment Scale (FES) to evaluate family environment. Linear regressions evaluated the effect that family environment exerts on functioning at baseline and at 2-year follow-up, when FEP patients were diagnosed according to non-affective (NA-PSYCH) or affective psychoses (A-PSYCH). The influence of a positive parents' psychiatric history on functioning was evaluated through one-way between-groups analysis of covariance (ANCOVA) models, after controlling for family environmental styles. At baseline, FEP patients presented moderate functioning impairment, significantly worse than HC (28.65±16.17 versus 3.25±7.92; p<0.001, g = 1.91). At 2-year follow-up, the functioning of NA-PSYCH patients was significantly worse than in A-PSYCH (19.92±14.83 versus 12.46±14.86; p = 0.020, g = 0.50). No specific family environment style was associated with functioning in FEP patients and HC. On the contrary, a positive psychiatric father's history influenced functioning of FEP patients. After 2 years, worse functioning in NA-PSYCH patients was associated with lower rates of active-recreational and achievement orientated family environment and with higher rates of moral-religious emphasis and control. In A-PSYCH, worse functioning was associated with higher rates of conflict in the family. Both family environment and psychiatric history influence psychosocial functioning, with important implications for early interventions, that should involve both patients and caregivers.
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Affiliation(s)
- Norma Verdolini
- Bipolar and Depressive Disorders Unit, Hospital Clinic, University of Barcelona, Institute of Neuroscience, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Silvia Amoretti
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, Barcelona, Spain; Department of Medicine, Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain; August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Gisela Mezquida
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, Barcelona, Spain; Department of Medicine, Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain; August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Manuel J Cuesta
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Laura Pina-Camacho
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain; Department of Child and Adolescent Psychiatry, Institute of Psychatry and Mental Health, Hospital General Universitario Gregorio Marañon, IiSGM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Clemente García-Rizo
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, Barcelona, Spain; Department of Medicine, Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain; August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Antonio Lobo
- Department of Medicine and Psychiatry. Universidad de Zaragoza, Spain; Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain
| | - Ana González-Pinto
- Hospital Universitario de Alava, UPV/EHU, BIOARABA, CIBERSAM, Vitoria, Spain
| | - Jessica Merchán-Naranjo
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain; Department of Child and Adolescent Psychiatry, Institute of Psychatry and Mental Health, Hospital General Universitario Gregorio Marañon, IiSGM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Iluminada Corripio
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain; Psychiatry Department, Institut d'Investigació Biomèdica-Sant Pau (IIB-SANT PAU), Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Estela Salagre
- Bipolar and Depressive Disorders Unit, Hospital Clinic, University of Barcelona, Institute of Neuroscience, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Immaculada Baeza
- Department of Child and Adolescent Psychiatry and Psychology, Clínic Institute of Neurosciences, Hospital Clínic de Barcelona, 2017SGR881, University of Barcelona, CIBERSAM, IDIBAPS, Barcelona, Spain
| | - Daniel Bergé
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain; Hospital del Mar Medical Research Institute (IMIM), Spain; Autonomous University of Barcelona (UAB), Spain
| | - Marina Garriga
- Bipolar and Depressive Disorders Unit, Hospital Clinic, University of Barcelona, Institute of Neuroscience, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Miquel Bioque
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, Barcelona, Spain; Department of Medicine, Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain; August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Catalina Vallespir
- Bipolar and Depressive Disorders Unit, Hospital Clinic, University of Barcelona, Institute of Neuroscience, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Maria Serra
- Bipolar and Depressive Disorders Unit, Hospital Clinic, University of Barcelona, Institute of Neuroscience, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Hospital Clinic, University of Barcelona, Institute of Neuroscience, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.
| | - Miguel Bernardo
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, Barcelona, Spain; Department of Medicine, Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain; August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
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Prakash J, Chatterjee K, Srivastava K, Chauhan VS. First-episode psychosis: How long does it last? A review of evolution and trajectory. Ind Psychiatry J 2021; 30:198-206. [PMID: 35017801 PMCID: PMC8709526 DOI: 10.4103/ipj.ipj_38_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 03/13/2021] [Accepted: 03/16/2021] [Indexed: 11/12/2022] Open
Abstract
Study of first-episode psychosis (FEP), an episode of psychotic nature which manifests for the first time in an individual in the longitudinal continuum of his/her illness, has been study matter of research interest in recent years. A comprehensive review of the literature will help us understand the evolution and trajectory of this concept better. A literature review of available articles addressing the concept, phenomenology, evolution, identification, course, and outcome of FEP was done; the same was subsequently divided into broad topics for better clarity and analyzed. FEP constituted a clinical psychotic phenomenon with underlying significant heterogeneity in diagnosis, stability, course, and outcome. The study has attempted to view FEP both as horizontal spectrum across various diagnoses and longitudinally ranging from asymptomatic individual with unknown risk status to attenuated psychosis to multiple relapses/unremitting illness. Many risk and protective factors have been brought out with varying certainty ranging bio-psycho-social spectrum. Efforts have been made to calculate polygenic risk score based on genes involvement/sharing between various psychotic spectrum disorders; as well as biomarker panels to identify people at risk. FEP may prove to be an important concept to understand psychosis in general; without putting things into the diagnostic rubric. It may help understand multiple risk and protective factors for the course and outcome of psychotic illness and may clear the cloud to sharpen the evidence toward commonality and distinctiveness between various psychotic diagnoses in vogue for more comprehensive concept.
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Affiliation(s)
- Jyoti Prakash
- Department of Psychiatry, Armed Forces Medical College, Pune, Maharashtra, India
| | - K. Chatterjee
- Department of Psychiatry, Armed Forces Medical College, Pune, Maharashtra, India
| | - K. Srivastava
- Department of Psychiatry, Armed Forces Medical College, Pune, Maharashtra, India
| | - V. S. Chauhan
- Department of Psychiatry, Armed Forces Medical College, Pune, Maharashtra, India
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Roell KR, Harmon QE, Klungsøyr K, Bauer AE, Magnus P, Engel SM. Clustering Longitudinal Blood Pressure Trajectories to Examine Heterogeneity in Outcomes Among Preeclampsia Cases and Controls. Hypertension 2021; 77:2034-2044. [PMID: 33813841 DOI: 10.1161/hypertensionaha.120.16239] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
[Figure: see text].
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Affiliation(s)
- Kyle R Roell
- Department of Epidemiology (K.R.R., S.M.E.), University of North Carolina at Chapel Hill
| | - Quaker E Harmon
- Epidemiology Branch, National Institute of Environmental Health Sciences, Durham, NC (Q.E.H.)
| | - Kari Klungsøyr
- Department of Global Public Health and Primary Care, University of Bergen, Norway (K.K.).,Division for Mental and Physical Health, Norwegian Institute of Public Health, Bergen, Norway (K.K.)
| | - Anna E Bauer
- Perinatal Psychiatry Program, Department of Psychiatry (A.E.B.), University of North Carolina at Chapel Hill
| | - Per Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway (P.M.)
| | - Stephanie M Engel
- Department of Epidemiology (K.R.R., S.M.E.), University of North Carolina at Chapel Hill
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40
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Salagre E, Grande I, Solé B, Mezquida G, Cuesta MJ, Díaz-Caneja CM, Amoretti S, Lobo A, González-Pinto A, Moreno C, Pina-Camacho L, Corripio I, Baeza I, Bergé D, Verdolini N, Carvalho AF, Vieta E, Bernardo M. Exploring Risk and Resilient Profiles for Functional Impairment and Baseline Predictors in a 2-Year Follow-Up First-Episode Psychosis Cohort Using Latent Class Growth Analysis. J Clin Med 2020; 10:E73. [PMID: 33379225 PMCID: PMC7796026 DOI: 10.3390/jcm10010073] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 12/21/2020] [Accepted: 12/22/2020] [Indexed: 12/22/2022] Open
Abstract
Being able to predict functional outcomes after First-Episode Psychosis (FEP) is a major goal in psychiatry. Thus, we aimed to identify trajectories of psychosocial functioning in a FEP cohort followed-up for 2 years in order to find premorbid/baseline predictors for each trajectory. Additionally, we explored diagnosis distribution within the different trajectories. A total of 261 adults with FEP were included. Latent class growth analysis identified four distinct trajectories: Mild impairment-Improving trajectory (Mi-I) (38.31% of the sample), Moderate impairment-Stable trajectory (Mo-S) (18.39%), Severe impairment-Improving trajectory (Se-I) (12.26%), and Severe impairment-Stable trajectory (Se-S) (31.03%). Participants in the Mi-I trajectory were more likely to have higher parental socioeconomic status, less severe baseline depressive and negative symptoms, and better premorbid adjustment than individuals in the Se-S trajectory. Participants in the Se-I trajectory were more likely to have better baseline verbal learning and memory and better premorbid adjustment than those in the Se-S trajectory. Lower baseline positive symptoms predicted a Mo-S trajectory vs. Se-S trajectory. Diagnoses of Bipolar disorder and Other psychoses were more prevalent among individuals falling into Mi-I trajectory. Our findings suggest four distinct trajectories of psychosocial functioning after FEP. We also identified social, clinical, and cognitive factors associated with more resilient trajectories, thus providing insights for early interventions targeting psychosocial functioning.
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Affiliation(s)
- Estela Salagre
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Biomedical Research Networking Center for Mental Health Network (CIBERSAM), August Pi I Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, 08036 Barcelona, Spain; (E.S.); (B.S.); (N.V.)
| | - Iria Grande
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Biomedical Research Networking Center for Mental Health Network (CIBERSAM), August Pi I Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, 08036 Barcelona, Spain; (E.S.); (B.S.); (N.V.)
| | - Brisa Solé
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Biomedical Research Networking Center for Mental Health Network (CIBERSAM), August Pi I Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, 08036 Barcelona, Spain; (E.S.); (B.S.); (N.V.)
| | - Gisela Mezquida
- Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Department of Medicine, Institut de Neurociències, August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Universitat de Barcelona, 08036 Barcelona, Spain; (G.M.); (S.A.); (M.B.)
| | - Manuel J. Cuesta
- Department of Psychiatry, Instituto de Investigaciones Sanitarias de Navarra (IdiSNa), Complejo Hospitalario de Navarra, 31008 Pamplona, Spain;
| | - Covadonga M. Díaz-Caneja
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, School of Medicine, Universidad Complutense, 28007 Madrid, Spain; (C.M.D.-C.); (C.M.); (L.P.-C.)
| | - Silvia Amoretti
- Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Department of Medicine, Institut de Neurociències, August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Universitat de Barcelona, 08036 Barcelona, Spain; (G.M.); (S.A.); (M.B.)
| | - Antonio Lobo
- Department of Medicine and Psychiatry, Instituto de Investigación Sanitaria Aragón (IIS Aragón), Universidad de Zaragoza, 50009 Zaragoza, Spain;
| | - Ana González-Pinto
- Department of Psychiatry, Hospital Universitario de Alava, BIOARABA Health Research Institute, University of the Basque Country, 01009 Vitoria, Spain;
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), 28029 Madrid, Spain;
| | - Carmen Moreno
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, School of Medicine, Universidad Complutense, 28007 Madrid, Spain; (C.M.D.-C.); (C.M.); (L.P.-C.)
| | - Laura Pina-Camacho
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, School of Medicine, Universidad Complutense, 28007 Madrid, Spain; (C.M.D.-C.); (C.M.); (L.P.-C.)
| | - Iluminada Corripio
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), 28029 Madrid, Spain;
- Department of Psychiatry, Biomedical Research Institute Sant Pau (IIB-SANT PAU), Hospital Sant Pau, Universitat Autònoma de Barcelona (UAB), 08041 Barcelona, Spain
| | - Immaculada Baeza
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Child and Adolescent Psychiatry and Psychology Department, August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Hospital Clínic of Barcelona, SGR-881, Universitat de Barcelona, 08036 Barcelona, Spain;
| | - Daniel Bergé
- Hospital del Mar Medical Research Institute, CIBERSAM, Autonomous University of Barcelona, 08003 Barcelona, Spain;
| | - Norma Verdolini
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Biomedical Research Networking Center for Mental Health Network (CIBERSAM), August Pi I Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, 08036 Barcelona, Spain; (E.S.); (B.S.); (N.V.)
| | - André F. Carvalho
- Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, ON M6J 1H4, Canada;
- The IMPACT (Innovation in Mental and Physical Health and Clinical Treatment) Strategic Research Centre, School of Medicine, Barwon Health, Deakin University, Geelong, VIC 3220, Australia
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Biomedical Research Networking Center for Mental Health Network (CIBERSAM), August Pi I Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, 08036 Barcelona, Spain; (E.S.); (B.S.); (N.V.)
| | - Miquel Bernardo
- Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Department of Medicine, Institut de Neurociències, August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Universitat de Barcelona, 08036 Barcelona, Spain; (G.M.); (S.A.); (M.B.)
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van der Ven E, Scodes J, Basaraba C, Pauselli L, Mascayano F, Nossel I, Bello I, Humensky J, Susser E, Wall M, Dixon L. Trajectories of occupational and social functioning in people with recent-onset non-affective psychosis enrolled in specialized early intervention services across New York state. Schizophr Res 2020; 222:218-226. [PMID: 32513547 PMCID: PMC8273912 DOI: 10.1016/j.schres.2020.05.051] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Revised: 04/03/2020] [Accepted: 05/19/2020] [Indexed: 11/17/2022]
Abstract
BACKGROUND Despite the benefits of early intervention services for the initial stages of psychosis ongoing impairments in functioning are common. AIMS To identify 1-year trajectories of occupational and social functioning in individuals enrolled in OnTrackNY, a statewide program offering early intervention services for recent-onset psychosis in community settings. METHOD We included 937 persons with recent-onset psychosis enrolled at 19 programs across New York State. Demographic, social and clinical data was collected at program entry and at 3, 6, 9 and 12 months. We used growth mixture models to identify occupational and social functioning trajectories and examined the association between trajectory class, baseline factors and symptoms during 1-year follow-up. RESULTS Four distinct trajectory classes of occupational and social functioning were identified. The converging (58.0%) class had disparate levels of functioning at baseline (low occupational, higher social) which eventually converged. The other classes had high-stable (14.8%), moderate-stable (17.8%) and low-improving (9.4%) trajectories. Female gender, educational attainment and private insurance status were significantly associated with the trajectory characterized by higher functioning, while living alone, homelessness, a longer period from psychosis onset to program enrollment, a schizophrenia diagnosis and cannabis use at enrollment were associated with the poorest trajectory. The differences in severity of symptoms by trajectory class diminished over time. CONCLUSIONS Trajectories of occupational and social functioning showed substantial variation, but overall, remained stable or improved during 1-year follow-up. The relationship between symptoms and occupational and social functioning attenuated after the acute treatment phase.
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Affiliation(s)
- Els van der Ven
- Mailman School of Public Health, Columbia University, New York, NY, USA; School for Mental Health and Neuroscience (MHeNS), Maastricht University, Maastricht, the Netherlands.
| | - Jennifer Scodes
- Mental Health Data Science, Columbia University, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA
| | - Cale Basaraba
- Mental Health Data Science, Columbia University, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA
| | - Luca Pauselli
- New York State Psychiatric Institute, New York, NY, USA,Division of Behavioral Health Services and Policy Research, Columbia University, New York, NY, USA
| | - Franco Mascayano
- Mailman School of Public Health, Columbia University, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA
| | - Ilana Nossel
- New York State Psychiatric Institute, New York, NY, USA,Division of Behavioral Health Services and Policy Research, Columbia University, New York, NY, USA
| | - Iruma Bello
- New York State Psychiatric Institute, New York, NY, USA,Division of Behavioral Health Services and Policy Research, Columbia University, New York, NY, USA
| | | | - Ezra Susser
- Mailman School of Public Health, Columbia University, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA
| | - Melanie Wall
- Mailman School of Public Health, Columbia University, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA
| | - Lisa Dixon
- New York State Psychiatric Institute, New York, NY, USA,Division of Behavioral Health Services and Policy Research & Center for Practice Innovations, Columbia University, New York, NY, USA
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42
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Clementz BA, Trotti RL, Pearlson GD, Keshavan MS, Gershon ES, Keedy SK, Ivleva EI, McDowell JE, Tamminga CA. Testing Psychosis Phenotypes From Bipolar-Schizophrenia Network for Intermediate Phenotypes for Clinical Application: Biotype Characteristics and Targets. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2020; 5:808-818. [PMID: 32600898 DOI: 10.1016/j.bpsc.2020.03.011] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Revised: 03/30/2020] [Accepted: 03/31/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Psychiatry aspires to the molecular understanding of its disorders and, with that knowledge, to precision medicine. Research supporting such goals in the dimension of psychosis has been compromised, in part, by using phenomenology alone to estimate disease entities. To this end, we are proponents of a deep phenotyping approach in psychosis, using computational strategies to discover the most informative phenotypic fingerprint as a promising strategy to uncover mechanisms in psychosis. METHODS Doing this, the Bipolar-Schizophrenia Network for Intermediate Phenotypes (B-SNIP) has used biomarkers to identify distinct subtypes of psychosis with replicable biomarker characteristics. While we have presented these entities as relevant, their potential utility in clinical practice has not yet been demonstrated. RESULTS Here we carried out an analysis of clinical features that characterize biotypes. We found that biotypes have unique and defining clinical characteristics that could be used as initial screens in the clinical and research settings. Differences in these clinical features appear to be consistent with biotype biomarker profiles, indicating a link between biological features and clinical presentation. Clinical features associated with biotypes differ from those associated with DSM diagnoses, indicating that biotypes and DSM syndromes are not redundant and are likely to yield different treatment predictions. We highlight 3 predictions based on biotype that are derived from individual biomarker features and cannot be obtained from DSM psychosis syndromes. CONCLUSIONS In the future, biotypes may prove to be useful for targeting distinct molecular, circuit, cognitive, and psychosocial therapies for improved functional outcomes.
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Affiliation(s)
- Brett A Clementz
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, Georgia
| | - Rebekah L Trotti
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, Georgia
| | - Godfrey D Pearlson
- Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, Connecticut; Department of Psychiatry, Yale University, New Haven, Connecticut
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess, Harvard Medical School, Boston, Massachusetts
| | - Elliot S Gershon
- Department of Psychiatry, University of Chicago, Chicago, Illinois
| | - Sarah K Keedy
- Department of Psychiatry, University of Chicago, Chicago, Illinois
| | - Elena I Ivleva
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Jennifer E McDowell
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, Georgia
| | - Carol A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas.
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43
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Chan SY, Brady R, Hwang M, Higgins A, Nielsen K, Öngür D, Hall MH. Heterogeneity of Outcomes and Network Connectivity in Early-Stage Psychosis: A Longitudinal Study. Schizophr Bull 2020; 47:138-148. [PMID: 32572485 PMCID: PMC7825010 DOI: 10.1093/schbul/sbaa079] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Imaging studies in psychotic disorders typically examine cross-sectional relationships between magnetic resonance imaging (MRI) signals and diagnosis or symptoms. We sought to examine changes in network connectivity identified using resting-state functional MRI (fMRI) corresponding to divergent functional recovery trajectories and relapse in early-stage psychosis (ESP). Prior studies have linked schizophrenia to hyperconnectivity in the default mode network (DMN). Given the correlations between the DMN and behavioral impairments in psychosis, we hypothesized that dynamic changes in DMN connectivity reflect the heterogeneity of outcomes in ESP. Longitudinal data were collected from 66 ESP patients and 20 healthy controls. Longitudinal cluster analysis identified subgroups of patients with similar trajectories in terms of symptom severity and functional outcomes. DMN connectivity was measured in a subset of patients (n = 36) longitudinally over 2 scans separated by a mean of 12 months. We then compared connectivity between patients and controls, and among the different outcome trajectory subgroups. Among ESP participants, 4 subgroups were empirically identified corresponding to: "Poor," "Middle," "Catch-up," and "Good" trajectory outcomes in the complete dataset (n = 36), and an independent replication (n = 30). DMN connectivity changes differed significantly between functional subgroups (F3,32 = 6.06, P-FDR corrected = .01); DMN connectivity increased over time in the "Poor" outcome cluster (β = +0.145) but decreased over time in the "Catch-up" cluster (β = -0.212). DMN connectivity is dynamic and correlates with a change in functional status over time in ESP. This approach identifies a brain-based marker that reflects important neurobiological processes required to sustain functional recovery.
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Affiliation(s)
- Shi Yu Chan
- Schizophrenia and Bipolar Disorder Research Program, McLean Hospital, Belmont, MA,Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA,Department of Psychiatry, Harvard Medical School, Boston, MA,To whom correspondence should be addressed; Psychosis Neurobiology Lab/Schizophrenia and Bipolar Disorders Program, McLean Hospital, 115 Mill Street, Belmont, MA 02478; tel: 1-617-855-3528, fax: 1-617-855-2895, e-mail:
| | - Roscoe Brady
- Schizophrenia and Bipolar Disorder Research Program, McLean Hospital, Belmont, MA,Department of Psychiatry, Harvard Medical School, Boston, MA,Department of Psychiatry, Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, Boston, MA
| | - Melissa Hwang
- Schizophrenia and Bipolar Disorder Research Program, McLean Hospital, Belmont, MA
| | - Amy Higgins
- Schizophrenia and Bipolar Disorder Research Program, McLean Hospital, Belmont, MA,Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA
| | - Kathryn Nielsen
- Schizophrenia and Bipolar Disorder Research Program, McLean Hospital, Belmont, MA
| | - Dost Öngür
- Schizophrenia and Bipolar Disorder Research Program, McLean Hospital, Belmont, MA,Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA,Department of Psychiatry, Harvard Medical School, Boston, MA
| | - Mei-Hua Hall
- Schizophrenia and Bipolar Disorder Research Program, McLean Hospital, Belmont, MA,Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA,Department of Psychiatry, Harvard Medical School, Boston, MA
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44
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Dwyer DB, Kalman JL, Budde M, Kambeitz J, Ruef A, Antonucci LA, Kambeitz-Ilankovic L, Hasan A, Kondofersky I, Anderson-Schmidt H, Gade K, Reich-Erkelenz D, Adorjan K, Senner F, Schaupp S, Andlauer TFM, Comes AL, Schulte EC, Klöhn-Saghatolislam F, Gryaznova A, Hake M, Bartholdi K, Flatau-Nagel L, Reitt M, Quast S, Stegmaier S, Meyers M, Emons B, Haußleiter IS, Juckel G, Nieratschker V, Dannlowski U, Yoshida T, Schmauß M, Zimmermann J, Reimer J, Wiltfang J, Reininghaus E, Anghelescu IG, Arolt V, Baune BT, Konrad C, Thiel A, Fallgatter AJ, Figge C, von Hagen M, Koller M, Lang FU, Wigand ME, Becker T, Jäger M, Dietrich DE, Scherk H, Spitzer C, Folkerts H, Witt SH, Degenhardt F, Forstner AJ, Rietschel M, Nöthen MM, Mueller N, Papiol S, Heilbronner U, Falkai P, Schulze TG, Koutsouleris N. An Investigation of Psychosis Subgroups With Prognostic Validation and Exploration of Genetic Underpinnings: The PsyCourse Study. JAMA Psychiatry 2020; 77:523-533. [PMID: 32049274 PMCID: PMC7042925 DOI: 10.1001/jamapsychiatry.2019.4910] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
IMPORTANCE Identifying psychosis subgroups could improve clinical and research precision. Research has focused on symptom subgroups, but there is a need to consider a broader clinical spectrum, disentangle illness trajectories, and investigate genetic associations. OBJECTIVE To detect psychosis subgroups using data-driven methods and examine their illness courses over 1.5 years and polygenic scores for schizophrenia, bipolar disorder, major depression disorder, and educational achievement. DESIGN, SETTING, AND PARTICIPANTS This ongoing multisite, naturalistic, longitudinal (6-month intervals) cohort study began in January 2012 across 18 sites. Data from a referred sample of 1223 individuals (765 in the discovery sample and 458 in the validation sample) with DSM-IV diagnoses of schizophrenia, bipolar affective disorder (I/II), schizoaffective disorder, schizophreniform disorder, and brief psychotic disorder were collected from secondary and tertiary care sites. Discovery data were extracted in September 2016 and analyzed from November 2016 to January 2018, and prospective validation data were extracted in October 2018 and analyzed from January to May 2019. MAIN OUTCOMES AND MEASURES A clinical battery of 188 variables measuring demographic characteristics, clinical history, symptoms, functioning, and cognition was decomposed using nonnegative matrix factorization clustering. Subtype-specific illness courses were compared with mixed models and polygenic scores with analysis of covariance. Supervised learning was used to replicate results in validation data with the most reliably discriminative 45 variables. RESULTS Of the 765 individuals in the discovery sample, 341 (44.6%) were women, and the mean (SD) age was 42.7 (12.9) years. Five subgroups were found and labeled as affective psychosis (n = 252), suicidal psychosis (n = 44), depressive psychosis (n = 131), high-functioning psychosis (n = 252), and severe psychosis (n = 86). Illness courses with significant quadratic interaction terms were found for psychosis symptoms (R2 = 0.41; 95% CI, 0.38-0.44), depression symptoms (R2 = 0.28; 95% CI, 0.25-0.32), global functioning (R2 = 0.16; 95% CI, 0.14-0.20), and quality of life (R2 = 0.20; 95% CI, 0.17-0.23). The depressive and severe psychosis subgroups exhibited the lowest functioning and quadratic illness courses with partial recovery followed by reoccurrence of severe illness. Differences were found for educational attainment polygenic scores (mean [SD] partial η2 = 0.014 [0.003]) but not for diagnostic polygenic risk. Results were largely replicated in the validation cohort. CONCLUSIONS AND RELEVANCE Psychosis subgroups were detected with distinctive clinical signatures and illness courses and specificity for a nondiagnostic genetic marker. New data-driven clinical approaches are important for future psychosis taxonomies. The findings suggest a need to consider short-term to medium-term service provision to restore functioning in patients stratified into the depressive and severe psychosis subgroups.
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Affiliation(s)
- Dominic B. Dwyer
- Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Janos L. Kalman
- Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany,Institute of Psychiatric Phenomics and Genomics, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany,International Max Planck Research School (IMPRS-TP), Munich, Germany
| | - Monika Budde
- Institute of Psychiatric Phenomics and Genomics, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Joseph Kambeitz
- Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
| | - Anne Ruef
- Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Linda A. Antonucci
- Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany,Department of Education, Psychology and Communication, University of Bari Aldo Moro, Bari, Italy
| | | | - Alkomiet Hasan
- Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Ivan Kondofersky
- Institute of Computational Biology, Helmholtz Zentrum Munich, Oberschleißheim, Germany,Department of Mathematics, Technical University of Munich Garching, Garching, Germany
| | - Heike Anderson-Schmidt
- Institute of Psychiatric Phenomics and Genomics, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany,Department of Psychiatry and Psychotherapy, University Medical Center Gottingen, Gottingen, Germany
| | - Katrin Gade
- Institute of Psychiatric Phenomics and Genomics, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany,Department of Psychiatry and Psychotherapy, University Medical Center Gottingen, Gottingen, Germany
| | - Daniela Reich-Erkelenz
- Institute of Psychiatric Phenomics and Genomics, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Kristina Adorjan
- Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany,Institute of Psychiatric Phenomics and Genomics, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Fanny Senner
- Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany,Institute of Psychiatric Phenomics and Genomics, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Sabrina Schaupp
- Institute of Psychiatric Phenomics and Genomics, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany,Department of Psychiatry and Psychotherapy, Bezirkskrankenhaus Augsburg, Augsburg, Germany
| | - Till F. M. Andlauer
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Ashley L. Comes
- Institute of Psychiatric Phenomics and Genomics, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany,International Max Planck Research School (IMPRS-TP), Munich, Germany
| | - Eva C. Schulte
- Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany,Institute of Psychiatric Phenomics and Genomics, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Farah Klöhn-Saghatolislam
- Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany,Institute of Psychiatric Phenomics and Genomics, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Anna Gryaznova
- Institute of Psychiatric Phenomics and Genomics, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Maria Hake
- Institute of Psychiatric Phenomics and Genomics, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Kim Bartholdi
- Institute of Psychiatric Phenomics and Genomics, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Laura Flatau-Nagel
- Institute of Psychiatric Phenomics and Genomics, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Markus Reitt
- Department of Psychiatry and Psychotherapy, University Medical Center Gottingen, Gottingen, Germany
| | - Silke Quast
- Department of Psychiatry and Psychotherapy, University Medical Center Gottingen, Gottingen, Germany
| | - Sophia Stegmaier
- Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Milena Meyers
- Department of Psychiatry, Ruhr University Bochum, LWL University Hospital, Bochum, Germany
| | - Barbara Emons
- Department of Psychiatry, Ruhr University Bochum, LWL University Hospital, Bochum, Germany
| | - Ida Sybille Haußleiter
- Department of Psychiatry, Ruhr University Bochum, LWL University Hospital, Bochum, Germany
| | - Georg Juckel
- Department of Psychiatry, Ruhr University Bochum, LWL University Hospital, Bochum, Germany
| | - Vanessa Nieratschker
- Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Udo Dannlowski
- Department of Psychiatry and Psychotherapy, University of Münster, Münster, Germany
| | - Tomoya Yoshida
- Department of Physiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Max Schmauß
- Department of Psychiatry and Psychotherapy, Bezirkskrankenhaus Augsburg, Augsburg, Germany
| | - Jörg Zimmermann
- Psychiatrieverbund Oldenburger Land gGmbH, Karl-Jaspers-Klinik, Bad Zwischenahn, Germany
| | - Jens Reimer
- Department of Psychiatry, Klinikum Bremen-Ost, Bremen, Germany,Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Gottingen, Gottingen, Germany,German Center for Neurodegenerative Diseases (DZNE), Gottingen, Germany,Institute of BioMedicine (iBiMED), Medical Sciences Department, University of Aveiro, Aveiro, Portugal
| | - Eva Reininghaus
- Department of Psychiatry and Psychotherapeutic Medicine, Research Unit for Bipolar Affective Disorder, Medical University of Graz, Graz, Austria
| | | | - Volker Arolt
- Department of Psychiatry and Psychotherapy, University of Münster, Münster, Germany
| | - Bernhard T. Baune
- Department of Psychiatry and Psychotherapy, University of Münster, Münster, Germany,Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia,The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Carsten Konrad
- Department of Psychiatry and Psychotherapy, Agaplesion Diakonieklinikum, Rotenburg, Germany
| | - Andreas Thiel
- Department of Psychiatry and Psychotherapy, Agaplesion Diakonieklinikum, Rotenburg, Germany
| | - Andreas J. Fallgatter
- Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Christian Figge
- Karl-Jaspers Clinic, European Medical School Oldenburg-Groningen, Oldenburg, Germany
| | - Martin von Hagen
- Clinic for Psychiatry and Psychotherapy, Clinical Center Werra-Meißner, Eschwege, Germany
| | | | - Fabian U. Lang
- Department of Psychiatry II, Ulm University, Bezirkskrankenhaus Günzburg, Günzburg, Germany
| | - Moritz E. Wigand
- Department of Psychiatry II, Ulm University, Bezirkskrankenhaus Günzburg, Günzburg, Germany
| | - Thomas Becker
- Department of Psychiatry II, Ulm University, Bezirkskrankenhaus Günzburg, Günzburg, Germany
| | - Markus Jäger
- Department of Psychiatry II, Ulm University, Bezirkskrankenhaus Günzburg, Günzburg, Germany
| | - Detlef E. Dietrich
- AMEOS Clinical Center Hildesheim, Hildesheim, Germany,Center for Systems Neuroscience, Hannover, Germany,Burghof-Klinik Rinteln, Rinteln, Germany
| | | | - Carsten Spitzer
- Department of Psychosomatics and Psychotherapeutic Medicine, University Medical Center Rostock, Rostock, Germany
| | - Here Folkerts
- Department of Psychiatry, Psychotherapy and Psychosomatics, Clinical Center Wilhelmshaven, Wilhelmshaven, Germany
| | - Stephanie H. Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Franziska Degenhardt
- Institute of Human Genetics, University Hospital Bonn, Bonn, Germany,Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
| | - Andreas J. Forstner
- Institute of Human Genetics, University Hospital Bonn, Bonn, Germany,Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany,Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland,Centre for Human Genetics, University of Marburg, Marburg, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Markus M. Nöthen
- Institute of Human Genetics, University Hospital Bonn, Bonn, Germany,Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
| | - Nikola Mueller
- Institute of Computational Biology, Helmholtz Zentrum Munich, Oberschleißheim, Germany
| | - Sergi Papiol
- Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany,Institute of Psychiatric Phenomics and Genomics, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Urs Heilbronner
- Institute of Psychiatric Phenomics and Genomics, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Thomas G. Schulze
- Institute of Psychiatric Phenomics and Genomics, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany,International Max-Planck Research School for Translational Psychiatry, Max-Planck Institute of Psychiatry, Munich, Germany
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45
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Keshavan MS, Kelly S, Hall MH. The Core Deficit of “Classical” Schizophrenia Cuts Across the
Psychosis Spectrum. CANADIAN JOURNAL OF PSYCHIATRY. REVUE CANADIENNE DE PSYCHIATRIE 2020; 65:231-234. [PMID: 31961197 PMCID: PMC7385419 DOI: 10.1177/0706743719898911] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Matcheri S. Keshavan
- Harvard Medical School, Boston, MA, USA
- Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA,
USA
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46
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De keersmaecker J, Bostyn DH, Van Hiel A, Roets A. Disliked but Free to Speak: Cognitive Ability Is Related to Supporting Freedom of Speech for Groups Across the Ideological Spectrum. SOCIAL PSYCHOLOGICAL AND PERSONALITY SCIENCE 2020. [DOI: 10.1177/1948550619896168] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Freedom of speech for all citizens is often considered as a cornerstone of democratic societies. In three studies, we examined the relationship between cognitive ability and support for freedom of speech for a variety of social groups across the ideological spectrum ( N 1 varies between 1,373 and 18,719, N 2 = 298, N 3 = 395). Corroborating our theoretical expectations, although cognitive ability was related to more affective prejudice toward relatively conservative groups and less affective prejudice toward relatively liberal groups (Study 2), people with higher levels of cognitive ability were more in favor of freedom of speech for all target groups (Studies 1–3). The relationship between cognitive ability and freedom of speech support was mediated by intellectual humility (preregistered Study 3). These results indicate that cognitive ability contributes to support for the democratic right of freedom of speech for all social–ideological groups.
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Affiliation(s)
- Jonas De keersmaecker
- Department of Developmental, Personality and Social Psychology, Ghent University, Belgium
| | - Dries H. Bostyn
- Department of Developmental, Personality and Social Psychology, Ghent University, Belgium
| | - Alain Van Hiel
- Department of Developmental, Personality and Social Psychology, Ghent University, Belgium
| | - Arne Roets
- Department of Developmental, Personality and Social Psychology, Ghent University, Belgium
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47
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Miskowiak KW, Lewandowski KE. Trajectory of cognitive functions in bipolar disorder: for better or worse? Acta Psychiatr Scand 2020; 141:95-97. [PMID: 31953857 DOI: 10.1111/acps.13144] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 12/27/2019] [Accepted: 12/27/2019] [Indexed: 12/16/2022]
Affiliation(s)
- K W Miskowiak
- Copenhagen Affective Disorder Research Centre, Mental Health Services, Capital Region of Denmark, Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.,Deparment of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - K E Lewandowski
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA.,Psychotic Disorders Division, McLean Hospital, Belmont, MA, USA
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48
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Shinn AK, Cawkwell PB, Bolton K, Healy BC, Karmacharya R, Yip AG, Öngür D, Pinder-Amaker S. Return to College After a First Episode of Psychosis. SCHIZOPHRENIA BULLETIN OPEN 2020; 1:sgaa041. [PMID: 32984820 PMCID: PMC7503481 DOI: 10.1093/schizbullopen/sgaa041] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Abstract
A first episode of psychosis (FEP) can derail a patient’s educational goals, including attainment of a college education, and this can have lasting ramifications for socioeconomic and health outcomes. Despite this, few studies have examined return to college, which is an important index of real-world educational success after a FEP. In this study, we conducted a longitudinal medical record review of patients in a transdiagnostic outpatient FEP program and performed survival analysis, setting return to college as the endpoint, among the subset of patients whose college education was interrupted. We found that 82% (93/114) of college-enrolled FEP individuals experienced disruptions to their education after FEP, but that return to college also occurred in a substantial proportion (49/88, 56%) among those on leave who had follow-up data. In this sample, the median time to college return was 18 months. When separated by baseline diagnostic category, FEP patients with affective psychotic disorders (FEAP, n = 45) showed faster time to college return than those with primary psychotic disorders (FEPP, n = 43) (median 12 vs 24 mo; P = .024, unadjusted). When adjusted for having no more than 1 psychiatric hospitalization at intake and absence of cannabis use in the 6 months prior to intake (which were also significant predictors), differences by diagnostic category were more significant (hazard ratio 2.66, 95% CI 1.43–4.94, P = .002). Participation in education is an important outcome for stakeholders, and students with FEP can be successful in accomplishing this goal.
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Affiliation(s)
- Ann K Shinn
- Psychotic Disorders Division, McLean Hospital, Belmont, MA
- Department of Psychiatry, Harvard Medical School, Boston, MA
| | | | - Kirsten Bolton
- Psychotic Disorders Division, McLean Hospital, Belmont, MA
| | - Brian C Healy
- Ann Romney Center for Neurologic Diseases, Brigham & Women’s Hospital, Boston, MA
- Department of Neurology, Harvard Medical School, Boston, MA
| | - Rakesh Karmacharya
- Psychotic Disorders Division, McLean Hospital, Belmont, MA
- Department of Psychiatry, Harvard Medical School, Boston, MA
| | - Agustin G Yip
- Psychotic Disorders Division, McLean Hospital, Belmont, MA
- Department of Psychiatry, Harvard Medical School, Boston, MA
| | - Dost Öngür
- Psychotic Disorders Division, McLean Hospital, Belmont, MA
- Department of Psychiatry, Harvard Medical School, Boston, MA
| | - Stephanie Pinder-Amaker
- Department of Psychiatry, Harvard Medical School, Boston, MA
- College Mental Health Program, McLean Hospital, Belmont, MA
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49
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Qu X, Liukasemsarn S, Tu J, Higgins A, Hickey TJ, Hall MH. Identifying Clinically and Functionally Distinct Groups Among Healthy Controls and First Episode Psychosis Patients by Clustering on EEG Patterns. Front Psychiatry 2020; 11:541659. [PMID: 33061914 PMCID: PMC7530247 DOI: 10.3389/fpsyt.2020.541659] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Accepted: 08/21/2020] [Indexed: 12/31/2022] Open
Abstract
OBJECTIVE The mismatch negativity (MMN) is considered as a promising biomarker that can inform future therapeutic studies. However, there is a large variability among patients with first episode psychosis (FEP). Also, most studies report a single electrode site and on comparing case-control group differences. Few have taken advantage of the full wealth of multi-channel EEG signals to examine observable patterns. None, to our knowledge, have used machine learning (ML) approaches to investigate neurophysiological derived subgroups with distinct cognitive and functional outcome characteristics. In this study, we applied ML to empirically stratify individuals into homogeneous subgroups based on multi-channel MMN data. We then characterized the functional, cognitive, and clinical profiles of these neurobiologically derived subgroups. We also explored the underlying low frequency range responses (delta, theta, alpha) during MMN. METHODS Clinical, neurocognitive, functioning data of 33 healthy controls and 20 FEP patients were collected. 90% of the patients had 6-month follow-up data. Neurocognition, social cognition, and functioning measures were assessed using the NCCB Cognitive Battery, the Awareness of Social Inference Test, UCSD Performance-Based Skills Assessment, and Multnomah Community Ability Scale. Symptom severity was collected using the PANSS. MMN amplitude and single-trial derived low frequency activity across 24 frontocentral channels were used as main variables in the ML k-means clustering analyses. RESULTS We found a consistent pattern of two distinctive subgroups. We labeled them as "better functioning" and "poorer functioning" clusters, respectively. Each subgroup can be mapped onto either better or poorer clinical, cognitive, and functioning profiles. Also, we identified two subgroups of patients: one showed improved MMN and one showed worsening of MMN over time. Patients with improved MMN had better follow-up clinical, cognitive, and functioning profile than those with worsening MMN. Among the low frequency bands, delta frequency appeared to be the most relevant to the observed MMN responses in all individuals. However, higher delta responses were not necessarily associated with a better functioning profile, suggesting that delta frequency alone may not be useful in clinical characterization. CONCLUSIONS The ML approach could be a robust tool to explore heterogeneity and facilitate the identification of neurobiological homogeneous subgroups in FEP.
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Affiliation(s)
- Xiaodong Qu
- Department of Computer Science, Brandeis University, Waltham, MA, United States
| | - Saran Liukasemsarn
- Psychosis Neurobiology Laboratory, McLean Hospital, Harvard Medical School, Belmont, MA, United States.,Schizophrenia and Bipolar Disorders Program, McLean Hospital, Belmont, MA, United States
| | - Jingxuan Tu
- Department of Computer Science, Brandeis University, Waltham, MA, United States
| | - Amy Higgins
- Psychosis Neurobiology Laboratory, McLean Hospital, Harvard Medical School, Belmont, MA, United States.,Schizophrenia and Bipolar Disorders Program, McLean Hospital, Belmont, MA, United States
| | - Timothy J Hickey
- Department of Computer Science, Brandeis University, Waltham, MA, United States
| | - Mei-Hua Hall
- Psychosis Neurobiology Laboratory, McLean Hospital, Harvard Medical School, Belmont, MA, United States.,Schizophrenia and Bipolar Disorders Program, McLean Hospital, Belmont, MA, United States
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