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Li J, Zhang X, Liu F, Pang L, Sun Y, Chen Z, Kang Y, Hei G, Song X. Rethinking the core symptom of schizophrenia: An exploration of disorganized thought centrality in psychosis. Schizophr Res 2025; 281:201-208. [PMID: 40393115 DOI: 10.1016/j.schres.2025.05.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2025] [Revised: 04/15/2025] [Accepted: 05/12/2025] [Indexed: 05/22/2025]
Abstract
BACKGROUND AND HYPOTHESIS Schizophrenic symptoms are currently classified into several dimensions: positive symptoms, negative symptoms, disorganized thought, cognitive deficits, and general symptoms. This multi-dimensional categorization of symptoms has sparked an ongoing debate in the field: what is the core symptom of schizophrenia? This question remains central to our understanding of the disorder. In our previous research, we demonstrated the centrality of disorganized thought in schizophrenia. Building on this finding, we hypothesized that this centrality is not a feature of all psychotic disorders. STUDY DESIGN We analyzed Brief Psychiatric Rating Scale (BPRS) data from 17,414 outpatients using a Variational AutoEncoder (VAE) model. Clustering analysis was performed on the latent representations, followed by network analysis to examine symptom interactions within identified clusters. Analyses were further stratified by age and BPRS item types. STUDY RESULTS Clustering analysis revealed four distinct groups, in which one cluster exhibiting characteristics with more severe symptoms (mean BPRS score 99.73 [SD 9.46]), younger age (mean 19.48 [SD 9.31] years), and smaller sample size showed a unique centrality of thought disturbance among five subscale symptoms. This pattern persisted in both adult and adolescent subgroups and when analyzing only verbally reported items. CONCLUSIONS Our findings support the specificity of disorganized thought centrality in one particular cluster, distinguishing it from other psychiatric presentations. This study demonstrates the value in analyzing large-scale clinical data to refine our understanding of complex psychiatric disorders, potentially informing future targeted interventions.
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Affiliation(s)
- Jingjing Li
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Henan International Joint Laboratory of Biological Psychiatry, Zhengzhou, China; Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou University, Zhengzhou, China
| | - Xiaoyun Zhang
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Henan International Joint Laboratory of Biological Psychiatry, Zhengzhou, China; Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou University, Zhengzhou, China
| | - Fang Liu
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Department of Operation Management, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Lijuan Pang
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Henan International Joint Laboratory of Biological Psychiatry, Zhengzhou, China; Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou University, Zhengzhou, China
| | - Yao Sun
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Henan International Joint Laboratory of Biological Psychiatry, Zhengzhou, China; Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou University, Zhengzhou, China
| | - Zhihan Chen
- Department of Social Medicine, College of Health Management, China Medical University, Shenyang, China
| | - Yulin Kang
- Chinese Research Academy of Environmental Sciences, China
| | - Gangrui Hei
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Henan International Joint Laboratory of Biological Psychiatry, Zhengzhou, China; Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou University, Zhengzhou, China.
| | - Xueqin Song
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Henan International Joint Laboratory of Biological Psychiatry, Zhengzhou, China; Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou University, Zhengzhou, China; Department of Operation Management, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Henan Institute of Interconnected Intelligent Health Management, Zhengzhou, China; Henan Key Laboratory of Chronic Disease Prevention and Therapy & Intelligent Health Management, Zhengzhou, China.
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Forte MF, Clougher D, Segura ÀG, Mezquida G, Sánchez‐Torres AM, Vieta E, Garriga M, Lobo A, González‐Pinto AM, Diaz‐Caneja CM, Roldan A, Martínez‐Arán A, de la Serna E, Mané A, Mas S, Torrent C, Allot K, Bernardo M, Amoretti S. From Genetics to Psychosocial Functioning: Unraveling the Mediating Roles of Cognitive Reserve, Cognition, and Negative Symptoms in First-Episode Psychosis. Acta Psychiatr Scand 2024; 151:600-612. [PMID: 39722475 PMCID: PMC11962354 DOI: 10.1111/acps.13779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2024] [Revised: 11/22/2024] [Accepted: 11/25/2024] [Indexed: 12/28/2024]
Abstract
BACKGROUND Studies have shown associations between polygenic risk scores for educational attainment (PRSEA), cognitive reserve (CR), cognition, negative symptoms (NS), and psychosocial functioning in first-episode psychosis (FEP). However, their specific interactions remain unclear. This study aimed to investigate the mediating roles of CR, cognition, and NS in the relationship between PRSEA and psychosocial functioning one year after a FEP. Additionally, we sought to explore the impact of two NS subtypes on this relationship: diminished Expression (EXP-NS) and Motivation and Pleasure (MAP-NS). METHODS A total of 138 FEP participants, predominantly male (70%), with a mean age of 24.77 years (SD = 5.29), underwent genetic, clinical, and cognitive assessments two months after study enrollment. Functioning evaluation followed at one-year follow-up. To investigate the mediating role of CR, cognition, and NS in the relationship between PRSEA and functioning, a serial mediation model was employed. Two further mediation models were tested to explore the differential impact of EXP-NS and MAP-NS. Mediation analysis was performed using the PROCESS macro version 4.1 within SPSS version 26. RESULTS The serial mediation model revealed a causal chain for PRSEA > CR > cognition > NS > Functioning (β = -3.08, 95%CI [-5.73, -0.43], p = 0.023). When differentiating by type of NS, only EXP-NS were significantly associated in the casual chain (β = -0.17, 95% CI [-0.39, -0.01], p < 0.05). CONCLUSIONS CR, cognition and NS -specifically EXP-NS- mediate the association between PRSEA and psychosocial functioning at one-year follow-up in FEP patients. These results highlight the potential for personalized interventions based on genetic predisposition.
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Affiliation(s)
- M. Florencia Forte
- Bipolar and Depressive Disorders Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, IDIBAPS, BarcelonaCataloniaSpain
- University of BarcelonaBarcelonaCataloniaSpain
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, August Pi I Sunyer Biomedical Research Institute (IDIBAPS)BarcelonaSpain
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM)MadridSpain
| | - Derek Clougher
- Bipolar and Depressive Disorders Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, IDIBAPS, BarcelonaCataloniaSpain
- University of BarcelonaBarcelonaCataloniaSpain
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM)MadridSpain
| | - Àlex G. Segura
- Bipolar and Depressive Disorders Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, IDIBAPS, BarcelonaCataloniaSpain
- University of BarcelonaBarcelonaCataloniaSpain
| | - Gisela Mezquida
- University of BarcelonaBarcelonaCataloniaSpain
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, August Pi I Sunyer Biomedical Research Institute (IDIBAPS)BarcelonaSpain
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM)MadridSpain
- Serra‐Hunter Lecturer Fellow, Department of Basic Clinical PracticeUniversity of BarcelonaBarcelonaSpain
| | - Ana Maria Sánchez‐Torres
- Department of Health SciencesUniversidad Pública de Navarra, Pamplona, Spain. Navarra Institute for Health Research (IdiSNA)PamplonaSpain
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, IDIBAPS, BarcelonaCataloniaSpain
- University of BarcelonaBarcelonaCataloniaSpain
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM)MadridSpain
| | - Marina Garriga
- Bipolar and Depressive Disorders Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, IDIBAPS, BarcelonaCataloniaSpain
- University of BarcelonaBarcelonaCataloniaSpain
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, August Pi I Sunyer Biomedical Research Institute (IDIBAPS)BarcelonaSpain
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM)MadridSpain
| | - Antonio Lobo
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM)MadridSpain
- Department of Medicine and PsychiatryUniversidad de Zaragoza. Instituto de Investigación Sanitaria Aragón (IIS Aragón)ZaragozaSpain
| | - Ana M González‐Pinto
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM)MadridSpain
- Araba University Hospital, Bioaraba Research InstituteGasteizSpain
- University of the Basque Country (UPV‐EHU)BilbaoSpain
| | - Covadonga M. Diaz‐Caneja
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM)MadridSpain
- Department of Child and Adolescent PsychiatryInstitute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, School of Medicine, Universidad ComplutenseMadridSpain
| | - Alexandra Roldan
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM)MadridSpain
- Psychiatry DepartmentHospital de la Santa Creu i Sant Pau, IIB SANT PAUBarcelonaSpain
| | - Anabel Martínez‐Arán
- Bipolar and Depressive Disorders Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, IDIBAPS, BarcelonaCataloniaSpain
- University of BarcelonaBarcelonaCataloniaSpain
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM)MadridSpain
| | - Elena de la Serna
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM)MadridSpain
- Department of Child and Adolescent Psychiatry and PsychologyInstitut Clinic de Neurociències, Hospital ClínicUniversitari, Barcelona, Spain. 2021SGR01319. Fundació de Recerca Clínic Barcelona‐Institutd'InvestigacionsBiomèdiques August Pi i SunyerBarcelonaSpain
| | - Anna Mané
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM)MadridSpain
- Institut de Salud Mental, Hospital del mar, Barcelona, Spain. Hospital del mar ResearchInstitute, Barcelona, Spain. Universitat Pompeu Fabra (UPF)BarcelonaSpain
| | - Sergi Mas
- University of BarcelonaBarcelonaCataloniaSpain
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, August Pi I Sunyer Biomedical Research Institute (IDIBAPS)BarcelonaSpain
- Department of Clinical FoundationsPharmacology Unit, University of BarcelonaBarcelonaSpain
| | - Carla Torrent
- Bipolar and Depressive Disorders Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, IDIBAPS, BarcelonaCataloniaSpain
- University of BarcelonaBarcelonaCataloniaSpain
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM)MadridSpain
| | - Kelly Allot
- Orygen, Parkville, Australia. Centre for Youth Mental HealthParkvilleAustralia
| | - Miquel Bernardo
- University of BarcelonaBarcelonaCataloniaSpain
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, August Pi I Sunyer Biomedical Research Institute (IDIBAPS)BarcelonaSpain
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM)MadridSpain
| | - Silvia Amoretti
- Bipolar and Depressive Disorders Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, IDIBAPS, BarcelonaCataloniaSpain
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, August Pi I Sunyer Biomedical Research Institute (IDIBAPS)BarcelonaSpain
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM)MadridSpain
- Group of Psychiatry, Mental Health and Addictions, Vall d'Hebron Research Institute (VHIR)BarcelonaSpain
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Jordà-Baleri T, Garriga M, Mezquida G, Cuesta MJ, Martinez-Aran A, Garcia-Rizo C, Lobo A, González-Pinto A, Diaz-Caneja CM, Roldán A, Vieta E, Baeza I, Trabsa A, Montalvo I, Tortorella A, Menculini G, Verdolini N, Ramos-Quiroga JA, Sánchez Torres AM, Bernardo M, Amoretti S. Sex differences in prolactin levels and clinical outcomes in patients with a first psychotic episode. Psychoneuroendocrinology 2024; 169:107112. [PMID: 39106582 DOI: 10.1016/j.psyneuen.2024.107112] [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: 10/28/2023] [Revised: 06/17/2024] [Accepted: 06/21/2024] [Indexed: 08/09/2024]
Abstract
AIM To analyze the clinical, neurocognitive, and functional impact of prolactin levels according to sex in patients with a First Episode Psychosis (FEP). METHODS We measured prolactin levels in 221 non-affective FEP patients treated with antipsychotics (AP) and 224 healthy controls, at baseline and 2-year follow-up. We examined whether the relationships between clinical and functional variables were mediated by prolactin, controlling for antipsychotic use, according to sex. RESULTS Prolactin levels were higher in patients when compared to controls at both time points. Baseline factors associated with prolactin were chlorpromazine equivalents, attention, and executive functioning. In the FEP group, prolactin levels were associated with functioning and diminished expression in males, and with working memory in females. Prolactin levels (p=0.0134) played a role as a mediator between negative symptomatology (p=0.086) and functional outcome (p=0.008) only in FEP male patients at baseline. CONCLUSIONS Prolactin plays a role in the functionality and clinical symptomatology of FEP patients. Our results suggest that pharmacological counselling in patients with hyperprolactinemia at baseline and negative symptomatology might improve their functional and clinical outcomes.
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Affiliation(s)
- Teresa Jordà-Baleri
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB); Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS); CIBERSAM, ISCIII, Barcelona, Catalonia, Spain
| | - Marina Garriga
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB); Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS); CIBERSAM, ISCIII, Barcelona, Catalonia, Spain
| | - Gisela Mezquida
- Barcelona Clinic Schizophrenia Unit, Hospital Clínic de Barcelona; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB); Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS); CIBERSAM, ISCIII, Barcelona, Spain; Serra-Hunter Fellow, Department of Basic Clinal Practice, Pharmacology Unit, University of Barcelona
| | - Manuel J Cuesta
- Department of Psychiatry, Hospital Universitario de Navarra, Pamplona, Spain; Navarra Institute of Health Research (IdiSNA), Pamplona, Spain
| | - Anabel Martinez-Aran
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB); Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS); CIBERSAM, ISCIII, Barcelona, Catalonia, Spain
| | - Clemente Garcia-Rizo
- Barcelona Clinic Schizophrenia Unit, Hospital Clínic de Barcelona; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB); Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS); CIBERSAM, ISCIII, Barcelona, Spain.
| | - Antonio Lobo
- Department of Medicine and Psychiatry, Zaragoza University, Instituto de Investigación Sanitaria Aragón (IIS Aragón), CIBERSAM, ISCIII, Zaragoza, Spain
| | - Ana González-Pinto
- BIOARABA Health Research Institute, OSI Araba, University Hospital, University of the Basque Country, Vitoria, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Covadonga M Diaz-Caneja
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, ISCIII, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Alexandra Roldán
- Psychiatry Department, Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, CIBERSAM, Barcelona, Spain
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB); Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS); CIBERSAM, ISCIII, Barcelona, Catalonia, Spain.
| | - Inmaculada Baeza
- Department of Child and Adolescent Psychiatry and Psychology, 2021SGR01319, Institut Clinic de Neurociències, Hospital Clínic de Barcelona, Institut d´Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)-ISCIII, Department of Medicine, Institute of Neuroscience, University of Barcelona, Spain
| | - Amira Trabsa
- Hospital del Mar Medical Research Institute; Universitat Pompeu Fabra, MELIS Department, CIBERSAM, ISCIII, Barcelona, Spain
| | - Itziar Montalvo
- Mental Health Department, Parc Taulí Hospital Universitari. Institut d'Investigació i Innovació Parc Taulí (I3PT-CERCA), Unitat de Neurociència Traslacional, Departament de Medicina, Universitat Autònoma de Barcelona, CIBERSAM, ISCIII. Spain
| | - Alfonso Tortorella
- Section of Psychiatry, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Giulia Menculini
- Section of Psychiatry, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Norma Verdolini
- Local Health Unit Umbria 1, Department of Mental Health, Mental Health Center of Perugia, Italy
| | - Josep Antoni Ramos-Quiroga
- 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; Biomedical Network Research Centre on Mental Health (CIBERSAM), Spain; Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Ana M Sánchez Torres
- Department of Psychiatry, Hospital Universitario de Navarra, Pamplona, Spain; Navarra Institute of Health Research (IdiSNA), Pamplona, Spain; Department of Health Sciences, Universidad Pública de Navarra, Pamplona, Spain
| | - Miquel Bernardo
- Barcelona Clinic Schizophrenia Unit, Hospital Clínic de Barcelona; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB); Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS); CIBERSAM, ISCIII, Barcelona, Spain
| | - Silvia Amoretti
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB); Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS); CIBERSAM, ISCIII, Barcelona, Catalonia, Spain; Barcelona Clinic Schizophrenia Unit, Hospital Clínic de Barcelona; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB); Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS); CIBERSAM, ISCIII, Barcelona, Spain; Section of Psychiatry, Department of Medicine and Surgery, University of Perugia, Perugia, Italy; 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; Biomedical Network Research Centre on Mental Health (CIBERSAM), Spain; Universitat Autònoma de Barcelona, Barcelona, Spain
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4
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Byrne JF, Healy C, Föcking M, Heurich M, Susai SR, Mongan D, Wynne K, Kodosaki E, Woods SW, Cornblatt BA, Stone WS, Mathalon DH, Bearden CE, Cadenhead KS, Addington J, Walker EF, Cannon TD, Cannon M, Jeffries C, Perkins D, Cotter DR. Plasma complement and coagulation proteins as prognostic factors of negative symptoms: An analysis of the NAPLS 2 and 3 studies. Brain Behav Immun 2024; 119:188-196. [PMID: 38555993 DOI: 10.1016/j.bbi.2024.03.049] [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: 01/18/2024] [Revised: 03/25/2024] [Accepted: 03/28/2024] [Indexed: 04/02/2024] Open
Abstract
INTRODUCTION Negative symptoms impact the quality of life of individuals with psychosis and current treatment options for negative symptoms have limited effectiveness. Previous studies have demonstrated that complement and coagulation pathway protein levels are related to later psychotic experiences, psychotic disorder, and functioning. However, the prognostic relationship between complement and coagulation proteins and negative symptoms is poorly characterised. METHODS In the North American Prodrome Longitudinal Studies 2 and 3, negative symptoms in 431 individuals at clinical high-risk for psychosis (mean age: 18.2, SD 3.6; 42.5 % female) were measured at multiple visits over 2 years using the Scale of Psychosis-Risk Symptoms. Plasma proteins were quantified at baseline using mass spectrometry. Four factors were derived to represent levels of proteins involved in the activation or regulation of the complement or coagulation systems. The relationships between standardised protein group factors and serial measurements of negative symptoms over time were modelled using generalised least squares regression. Analyses were adjusted for baseline candidate prognostic factors: negative symptoms, positive symptoms, functioning, depressive symptoms, suicidal ideation, cannabis use, tobacco use, antipsychotic use, antidepressant use, age, and sex. RESULTS Clinical and demographic prognostic factors of follow-up negative symptoms included negative, positive, and depressive symptoms, functioning, and age. Adjusting for all candidate prognostic factors, the complement regulators group and the coagulation regulators group were identified as prognostic factors of follow-up negative symptoms (β: 0.501, 95 % CI: 0.160, 0.842; β: 0.430, 95 % CI: 0.080, 0.780 respectively. The relationship between complement regulator levels and negative symptoms was also observed in NAPLS2 alone (β: 0.501, 95 % CI: -0.037, 1.039) and NAPLS3 alone, additionally adjusting for BMI (β: 0.442, 95 % CI: 0.127, 0.757). CONCLUSION The results indicate that plasma complement and coagulation regulator levels are prognostic factors of negative symptoms, independent of clinical and demographic prognostic factors. These results suggest complement and coagulation regulator levels could have potential utility in informing treatment decisions for negative symptoms in individuals at risk.
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Affiliation(s)
- Jonah F Byrne
- Department of Psychiatry, Royal College of Surgeons in Ireland, University of Medicine and Health Sciences, Dublin, Ireland; SFI FutureNeuro Research Centre, Royal College of Surgeons in Ireland, University of Medicine and Health Sciences, Dublin, Ireland.
| | - Colm Healy
- Department of Psychiatry, Royal College of Surgeons in Ireland, University of Medicine and Health Sciences, Dublin, Ireland; Department of Psychology, Royal College of Surgeons in Ireland, University of Medicine and Health Sciences, Dublin, Ireland
| | - Melanie Föcking
- Department of Psychiatry, Royal College of Surgeons in Ireland, University of Medicine and Health Sciences, Dublin, Ireland
| | - Meike Heurich
- School of Pharmacy and Pharmaceutical Sciences, Cardiff University, Wales, United Kingdom
| | - Subash Raj Susai
- Department of Psychiatry, Royal College of Surgeons in Ireland, University of Medicine and Health Sciences, Dublin, Ireland
| | - David Mongan
- Department of Psychiatry, Royal College of Surgeons in Ireland, University of Medicine and Health Sciences, Dublin, Ireland; Centre for Public Health, Queen's University Belfast, United Kingdom
| | - Kieran Wynne
- School of Biomolecular and Biomedical Science, Conway Institute, University College Dublin, Dublin, Ireland
| | - Eleftheria Kodosaki
- School of Pharmacy and Pharmaceutical Sciences, Cardiff University, Wales, United Kingdom
| | - Scott W Woods
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | | | - William S Stone
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, USA
| | - Daniel H Mathalon
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA; Mental Health Service 116d, Veterans Affairs San Francisco Health Care System, San Francisco, CA, USA
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, University of California, Los Angeles, CA, USA
| | | | - Jean Addington
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, Canada
| | - Elaine F Walker
- Departments of Psychology and Psychiatry, Emory University, Atlanta, GA, USA
| | - Tyrone D Cannon
- Departments of Psychology and Psychiatry, Yale University, New Haven, CT, USA
| | - Mary Cannon
- Department of Psychiatry, Royal College of Surgeons in Ireland, University of Medicine and Health Sciences, Dublin, Ireland; SFI FutureNeuro Research Centre, Royal College of Surgeons in Ireland, University of Medicine and Health Sciences, Dublin, Ireland; Department of Psychiatry, Beaumont Hospital, Dublin 9, Ireland
| | - Clark Jeffries
- Renaissance Computing Institute, University of North Carolina, Chapel Hill, NC, USA
| | - Diana Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - David R Cotter
- Department of Psychiatry, Royal College of Surgeons in Ireland, University of Medicine and Health Sciences, Dublin, Ireland; SFI FutureNeuro Research Centre, Royal College of Surgeons in Ireland, University of Medicine and Health Sciences, Dublin, Ireland; Department of Psychiatry, Beaumont Hospital, Dublin 9, Ireland
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5
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Amoretti S, Anmella G, Bernardo M, Alfonso M, Hernandez C, García-Portilla MP, González-Blanco L, Safont G, Garrido I, Sanchez-Autet M, Arranz B. Impact of cognitive reserve in clinical, neurocognitive and lifestyle factors in chronic schizophrenia and early stages of schizophrenia. SPANISH JOURNAL OF PSYCHIATRY AND MENTAL HEALTH 2024; 17:168-174. [PMID: 38218376 DOI: 10.1016/j.sjpmh.2024.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 12/20/2023] [Accepted: 01/09/2024] [Indexed: 01/15/2024]
Abstract
INTRODUCTION Although there is evidence that higher cognitive reserve (CR) is a protective factor and it has been related to better prognosis, there have been no studies to date that have explored the CR level and its impact in clinical, neurocognitive and lifestyle outcomes according to the stage of the disease: early stage of psychosis (ESP) or chronic schizophrenia (SCZ). MATERIAL AND METHODS A total of 60 patients in the ESP and 225 patients with SCZ were enrolled in the study. To test the predictive capacity of CR for each diagnostic group, a logistic regression analysis was conducted. Hierarchical linear regression analyses were performed to explore the associations between CR and different outcomes. The mediation analyses were performed according to the principles of Baron and Kenny. RESULTS Patients with SCZ showed lower CR than those in the ESP (p<0.001). CR correctly classified 79.6% of the cases (p<0.001; Exp(B)=1.062). In ESP group, CR was related to working memory (p=0.030) and negative symptoms (p=0.027). CR (t=3.925, p<0.001) and cannabis use (t=2.023, p=0.048) explained 26.7% of the variance on functioning (p=0.003). In patients with SCZ, CR predicted all cognitive domains, negative symptoms (R2=0.091, p=0.001) and functioning (R2=0.074, p=0.005). In both ESP and SCZ groups, higher CR was associated with lower body mass index and circumference. In ESP group, the effect of adherence to Mediterranean diet on functioning (p=0.037) was mediated by CR level (p=0.003). CONCLUSIONS The implications of CR depend on the stage of the disease (ESP vs. SCZ), with a greater effect on neurocognition and negative symptoms in patients with chronic SCZ.
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Affiliation(s)
- Silvia Amoretti
- Group of Psychiatry, Mental Health and Addictions, Vall d'Hebron Research Institute (VHIR), Barcelona, Catalonia, Spain; Psychiatric Genetics Unit, Vall d'Hebron Research Institute (VHIR), Biomedical Research Networking Center for Mental Health Network (CIBERSAM), ISCIII, Barcelona, Catalonia, Spain; Departament de Medicina, Institut de Neurociències (UBNeuro), Barcelona Clinic Schizophrenia Unit, Hospital Clínic de Barcelona, Institut de Neurociències (UBNeuro), Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Universitat de Barcelona (UB), Barcelona, Spain; Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institute of Neurosciences (UBNeuro), Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Universitat de Barcelona (UB), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Gerard Anmella
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institute of Neurosciences (UBNeuro), Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Universitat de Barcelona (UB), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Miquel Bernardo
- Departament de Medicina, Institut de Neurociències (UBNeuro), Barcelona Clinic Schizophrenia Unit, Hospital Clínic de Barcelona, Institut de Neurociències (UBNeuro), Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Universitat de Barcelona (UB), Barcelona, Spain.
| | - Miqueu Alfonso
- Parc Sanitari Sant Joan de Deu, CIBERSAM, Barcelona, Spain
| | | | - María Paz García-Portilla
- Department of Psychiatry, Universidad de Oviedo, Spain; CIBERSAM, Oviedo, Spain; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain; Instituto Universitario de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain; Servicio de Salud del Principado de Asturias (SESPA), Oviedo, Spain
| | - Leticia González-Blanco
- Department of Psychiatry, Universidad de Oviedo, Spain; CIBERSAM, Oviedo, Spain; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain; Instituto Universitario de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain; Servicio de Salud del Principado de Asturias (SESPA), Oviedo, Spain
| | - Gemma Safont
- Hospital Universitari Mútua Terrassa, CIBERSAM, Spain
| | | | | | - Belén Arranz
- Parc Sanitari Sant Joan de Deu, CIBERSAM, Barcelona, Spain
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6
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Hou WP, Qin XQ, Hou WW, Han YY, Bo QJ, Dong F, Zhou FC, Li XB, Wang CY. Interaction between catechol-O-methyltransferase Val/Met polymorphism and cognitive reserve for negative symptoms in schizophrenia. World J Psychiatry 2024; 14:695-703. [PMID: 38808087 PMCID: PMC11129152 DOI: 10.5498/wjp.v14.i5.695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 04/09/2024] [Accepted: 04/22/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND Cognitive reserve (CR) and the catechol-O-methyltransferase (COMT) Val/Met polymorphism are reportedly linked to negative symptoms in schizophrenia. However, the regulatory effect of the COMT genotype on the relationship between CR and negative symptoms is still unexamined. AIM To investigate whether the relationship between CR and negative symptoms could be regulated by the COMT Val/Met polymorphism. METHODS In a cross-sectional study, 54 clinically stable patients with schizophrenia underwent assessments for the COMT genotype, CR, and negative symptoms. CR was estimated using scores in the information and similarities subtests of a short form of the Chinese version of the Wechsler Adult Intelligence Scale. RESULTS COMT Met-carriers exhibited fewer negative symptoms than Val homozygotes. In the total sample, significant negative correlations were found between negative symptoms and information, similarities. Associations between information, similarities and negative symptoms were observed in Val homozygotes only, with information and similarities showing interaction effects with the COMT genotype in relation to negative symptoms (information, β = -0.282, 95%CI: -0.552 to -0.011, P = 0.042; similarities, β = -0.250, 95%CI: -0.495 to -0.004, P = 0.046). CONCLUSION This study provides initial evidence that the association between negative symptoms and CR is under the regulation of the COMT genotype in schizophrenia.
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Affiliation(s)
- Wen-Peng Hou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Xiang-Qin Qin
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Wei-Wei Hou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Yun-Yi Han
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Qi-Jing Bo
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Fang Dong
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Fu-Chun Zhou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Xian-Bin Li
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Chuan-Yue Wang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
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7
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Isayeva U, Manchia M, Collu R, Primavera D, Deriu L, Caboni E, Iaselli NM, Sundas D, Tusconi M, Pinna F, Paribello P, Scherma M, Pisanu C, Meloni A, Zai CC, Congiu D, Squassina A, Fratta W, Fadda P, Carpiniello B. Symptomatic remission and recovery in major psychosis: Is there a role for BDNF? A secondary analysis of the LABSP cohort data. Schizophr Res 2024; 266:197-204. [PMID: 38422890 DOI: 10.1016/j.schres.2024.02.019] [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: 08/24/2023] [Revised: 02/01/2024] [Accepted: 02/17/2024] [Indexed: 03/02/2024]
Abstract
Remission, relapse prevention, and clinical recovery are crucial areas of interest in schizophrenia (SCZ) research. Although SCZ is a chronic disorder with poor overall outcomes, years of research demonstrated that recovery is possible. There are considerable data linking brain-derived neurotrophic factor (BDNF) to SCZ, however, evidence on the role of BDNF in remission in SCZ is scarce. This secondary analysis of the Longitudinal Assessment of BDNF in Sardinian patients (LABSP) data aimed to investigate the relationship between serum BDNF levels and symptomatic remission, simultaneous clinical and functional remission, and recovery in patients with SCZ. A total of 105 patients with SCZ or schizoaffective disorder were recruited for a longitudinal assessment of BDNF levels over 24 months. Longitudinal data were analyzed using mixed-effects linear regression models. The study found significant associations between use of long acting injectables (χ2 = 7.075, df = 1, p = 0.008), baseline serum BDNF levels (U = 701, z = -2.543, p = 0.011), and "childhood" (U = 475, z = -2.124, p = 0.034) and "general" (U = 55, z = -2.014, p = 0.044) subscales of the Premorbid Adjustment Scale (PAS) with patients maintaining remission and recovery. The diagnosis of SCZ was significantly associated with lower BDNF levels for patients with simultaneous clinical and functional remission (Z = 2.035, p = 0.0419) and recovery (Z = 2.009, p = 0.0445) compared to those without. There were no significant associations between remission in the entire sample and longitudinal serum BDNF levels or genetic variants within the BDNF gene. These findings provide further insight into the complex relationship between BDNF and SCZ.
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Affiliation(s)
- Ulker Isayeva
- Unit of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy; Division of Neuroscience and Clinical Pharmacology, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Mirko Manchia
- Unit of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy; Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy; Department of Pharmacology, Dalhousie University, Halifax, Nova Scotia, Canada.
| | - Roberto Collu
- Division of Neuroscience and Clinical Pharmacology, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Diego Primavera
- Unit of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Luca Deriu
- Unit of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy; Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Edoardo Caboni
- Unit of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy; Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Novella Maria Iaselli
- Unit of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy; Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Davide Sundas
- Unit of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy; Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Massimo Tusconi
- Unit of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Federica Pinna
- Unit of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy; Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Pasquale Paribello
- Unit of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy; Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Maria Scherma
- Division of Neuroscience and Clinical Pharmacology, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Claudia Pisanu
- Division of Neuroscience and Clinical Pharmacology, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Anna Meloni
- Division of Neuroscience and Clinical Pharmacology, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Clement C Zai
- Tanenbaum Centre for Pharmacogenetics, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, Institute of Medical Science, Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Donatella Congiu
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Alessio Squassina
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Walter Fratta
- Division of Neuroscience and Clinical Pharmacology, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy; Centre of Excellence "Neurobiology of Dependence", University of Cagliari, Cagliari, Italy
| | - Paola Fadda
- Division of Neuroscience and Clinical Pharmacology, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy; Centre of Excellence "Neurobiology of Dependence", University of Cagliari, Cagliari, Italy
| | - Bernardo Carpiniello
- Unit of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy; Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
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8
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Slováková A, Kúdelka J, Škoch A, Jakob L, Fialová M, Fürstová P, Bakštein E, Bankovská Motlová L, Knytl P, Španiel F. Time is the enemy: Negative symptoms are related to even slight differences in the duration of untreated psychosis. Compr Psychiatry 2024; 130:152450. [PMID: 38241816 DOI: 10.1016/j.comppsych.2024.152450] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 12/26/2023] [Accepted: 01/12/2024] [Indexed: 01/21/2024] Open
Abstract
BACKGROUND Negative symptoms (NS) represent a detrimental symptomatic domain in schizophrenia affecting social and occupational outcomes. AIMS We aimed to identify factors from the baseline visit (V1) - with a mean illness duration of 0.47 years (SD = 0.45) - that predict the magnitude of NS at the follow-up visit (V3), occurring 4.4 years later (mean +/- 0.45). METHOD Using longitudinal data from 77 first-episode schizophrenia spectrum patients, we analysed eight predictors of NS severity at V3: (1) the age at disease onset, (2) age at V1, (3) sex, (4) diagnosis, (5) NS severity at V1, (6) the dose of antipsychotic medication at V3, (7) hospitalisation days before V1 and; (8) the duration of untreated psychosis /DUP/). Secondly, using a multiple linear regression model, we studied the longitudinal relationship between such identified predictors and NS severity at V3 using a multiple linear regression model. RESULTS DUP (Pearson's r = 0.37, p = 0.001) and NS severity at V1 (Pearson's r = 0.49, p < 0.001) survived correction for multiple comparisons. The logarithmic-like relationship between DUP and NS was responsible for the initial stunning incremental contribution of DUP to the severity of NS. For DUP < 6 months, with the sharpest DUP/NS correlation, prolonging DUP by five days resulted in a measurable one-point increase in the 6-item negative symptoms PANSS domain assessed 4.9 (+/- 0.6) years after the illness onset. Prolongation of DUP to 14.7 days doubled this NS gain, whereas 39 days longer DUP tripled NS increase. CONCLUSION The results suggest the petrification of NS during the early stages of the schizophrenia spectrum and a crucial dependence of this symptom domain on DUP. These findings are clinically significant and highlight the need for primary preventive actions.
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Affiliation(s)
- Andrea Slováková
- National Institute of Mental Health, Klecany, Czech Republic; 3rd Faculty of Medicine, Charles University, Prague, Czech Republic.
| | - Jan Kúdelka
- National Institute of Mental Health, Klecany, Czech Republic
| | - Antonín Škoch
- National Institute of Mental Health, Klecany, Czech Republic; Institute for Clinical and Experimental Medicine, Department of Diagnostic and Interventional Radiology, Prague, Czech Republic.
| | - Lea Jakob
- National Institute of Mental Health, Klecany, Czech Republic.
| | - Markéta Fialová
- National Institute of Mental Health, Klecany, Czech Republic; 3rd Faculty of Medicine, Charles University, Prague, Czech Republic.
| | - Petra Fürstová
- National Institute of Mental Health, Klecany, Czech Republic.
| | - Eduard Bakštein
- National Institute of Mental Health, Klecany, Czech Republic.
| | | | - Pavel Knytl
- National Institute of Mental Health, Klecany, Czech Republic.
| | - Filip Španiel
- National Institute of Mental Health, Klecany, Czech Republic; 3rd Faculty of Medicine, Charles University, Prague, Czech Republic.
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9
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Baeza I, de la Serna E, Mezquida G, Cuesta MJ, Vieta E, Amoretti S, Lobo A, González-Pinto A, Díaz-Caneja CM, Corripio I, Valli I, Puig O, Mané A, Bioque M, Ayora M, Bernardo M, Castro-Fornieles J. Prodromal symptoms and the duration of untreated psychosis in first episode of psychosis patients: what differences are there between early vs. adult onset and between schizophrenia vs. bipolar disorder? Eur Child Adolesc Psychiatry 2024; 33:799-810. [PMID: 37027026 PMCID: PMC10894175 DOI: 10.1007/s00787-023-02196-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 03/10/2023] [Indexed: 04/08/2023]
Abstract
To assess the role of age (early onset psychosis-EOP < 18 years vs. adult onset psychosis-AOP) and diagnosis (schizophrenia spectrum disorders-SSD vs. bipolar disorders-BD) on the duration of untreated psychosis (DUP) and prodromal symptoms in a sample of patients with a first episode of psychosis. 331 patients with a first episode of psychosis (7-35 years old) were recruited and 174 (52.6%) diagnosed with SSD or BD at one-year follow-up through a multicenter longitudinal study. The Symptom Onset in Schizophrenia (SOS) inventory, the Positive and Negative Syndrome Scale and the structured clinical interviews for DSM-IV diagnoses were administered. Generalized linear models compared the main effects and group interaction. 273 AOP (25.2 ± 5.1 years; 66.5% male) and 58 EOP patients (15.5 ± 1.8 years; 70.7% male) were included. EOP patients had significantly more prodromal symptoms with a higher frequency of trouble with thinking, avolition and hallucinations than AOP patients, and significantly different median DUP (91 [33-177] vs. 58 [21-140] days; Z = - 2.006, p = 0.045). This was also significantly longer in SSD vs. BD patients (90 [31-155] vs. 30 [7-66] days; Z = - 2.916, p = 0.004) who, moreover had different profiles of prodromal symptoms. When assessing the interaction between age at onset (EOP/AOP) and type of diagnosis (SSD/BD), avolition was significantly higher (Wald statistic = 3.945; p = 0.047), in AOP patients with SSD compared to AOP BD patients (p = 0.004). Awareness of differences in length of DUP and prodromal symptoms in EOP vs. AOP and SSD vs. BD patients could help improve the early detection of psychosis among minors.
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Affiliation(s)
- Inmaculada Baeza
- Child and Adolescent Psychiatry and Psychology Department, Hospital Clínic de Barcelona, 2021SGR01319, Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain.
- Institut d'Investigacions Biomèdiques August Pi Sunyer (CERCA-IDIBAPS), Barcelona, Spain.
- Department of Medicine, Universitat de Barcelona, Barcelona, Spain.
| | - Elena de la Serna
- Child and Adolescent Psychiatry and Psychology Department, Hospital Clínic de Barcelona, 2021SGR01319, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain
| | - Gisela Mezquida
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain
- Department of Medicine, Universitat de Barcelona, Barcelona, Spain
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Manuel J Cuesta
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona. IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Eduard Vieta
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi Sunyer (CERCA-IDIBAPS), Barcelona, Spain
- Department of Medicine, Universitat de Barcelona, Barcelona, Spain
- Bipolar and Depressive Disorder Unit, Neuroscience Institute, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Silvia Amoretti
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain
- Department of Medicine, Universitat de Barcelona, Barcelona, Spain
- Bipolar and Depressive Disorder Unit, Neuroscience Institute, Hospital Clínic de Barcelona, Barcelona, Spain
- Group of Psychiatry, Psychiatric Genetics Unit, Mental Health and Addictions, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain
| | - Antonio Lobo
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain
- Department of Medicine and Psychiatry, Hospital Clínico Universitario and Instituto de Investigación Sanitaria (IIS) Aragón, Universidad de Zaragoza, Zaragoza, Spain
| | - Ana González-Pinto
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain
- Department of Psychiatry, Hospital Universitario de Alava, BIOARABA, EHU, Vitoria, Spain
| | - Covadonga M Díaz-Caneja
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, School of Medicine, Hospital General Universitario Gregorio Marañón, Universidad Complutense, IiSGM, Madrid, Spain
| | - Iluminada Corripio
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, 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
| | - Isabel Valli
- Institut d'Investigacions Biomèdiques August Pi Sunyer (CERCA-IDIBAPS), Barcelona, Spain
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Olga Puig
- Child and Adolescent Psychiatry and Psychology Department, Hospital Clínic de Barcelona, 2021SGR01319, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain
- Department of Medicine, Universitat de Barcelona, Barcelona, Spain
| | - Anna Mané
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain
- Hospital del Mar Medical Research Institute (IMIM), Pompeu Fabra University, Barcelona, Spain
| | - Miquel Bioque
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi Sunyer (CERCA-IDIBAPS), Barcelona, Spain
- Department of Medicine, Universitat de Barcelona, Barcelona, Spain
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Miriam Ayora
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, School of Medicine, Hospital General Universitario Gregorio Marañón, Universidad Complutense, IiSGM, Madrid, Spain
| | - Miquel Bernardo
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi Sunyer (CERCA-IDIBAPS), Barcelona, Spain
- Department of Medicine, Universitat de Barcelona, Barcelona, Spain
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Josefina Castro-Fornieles
- Child and Adolescent Psychiatry and Psychology Department, Hospital Clínic de Barcelona, 2021SGR01319, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi Sunyer (CERCA-IDIBAPS), Barcelona, Spain
- Department of Medicine, Universitat de Barcelona, Barcelona, Spain
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10
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Mantonakis L, Stefanatou P, Tsionis A, Konstantakopoulos G, Xenaki LA, Ntigrintaki AA, Ralli I, Dimitrakopoulos S, Kollias K, Stefanis NC. Cognitive Inflexibility Predicts Negative Symptoms Severity in Patients with First-Episode Psychosis: A 1-Year Follow-Up Study. Brain Sci 2024; 14:162. [PMID: 38391736 PMCID: PMC10886606 DOI: 10.3390/brainsci14020162] [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: 01/01/2024] [Revised: 01/23/2024] [Accepted: 02/02/2024] [Indexed: 02/24/2024] Open
Abstract
Negative symptoms and cognitive deficits play a major role in psychosis and significantly influence the functional outcomes of patients, particularly those with a first episode of psychosis (FEP). However, limited research has explored the predictive capacity of cognitive deficits during FEP for subsequent negative symptomatology. Drawing from the Athens FEP research study, we conducted a retrospective longitudinal study in 80 individuals with FEP. All patients were drug naive at admission. Cognitive tests were administered at 1-month and 1-year post-admission, while negative symptomatology was assessed at the same time points using PANSS by trained raters. We considered confounding factors such as age, gender, duration of untreated psychosis (DUP), treatment received, premorbid social adjustment, and premorbid IQ. Univariate regression analysis identified cognitive domains that correlated with negative symptomatology. These, along with the confounders, were incorporated into a multiple regression, with the 1-year PANSS negative scale serving as the dependent variable. Employing the backward elimination technique, we found a statistically significant inverse relationship between the categories completed in the Wisconsin card sorting test (WCST) and the 1-year PANNS negative scale (p = 0.01), beyond the associations with DUP and the 1-month PANSS negative scale. Our results suggest that cognitive flexibility, a key component of executive functions, predicts negative symptom severity one year after FEP.
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Affiliation(s)
- Leonidas Mantonakis
- First Department of Psychiatry, Eginition Hospital, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece
| | - Pentagiotissa Stefanatou
- First Department of Psychiatry, Eginition Hospital, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece
| | - Antonis Tsionis
- First Department of Psychiatry, Eginition Hospital, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece
| | - George Konstantakopoulos
- First Department of Psychiatry, Eginition Hospital, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece
- Research Department of Clinical, Education and Health Psychology, University College London, London WC1E 7HB, UK
| | - Lida-Alkisti Xenaki
- First Department of Psychiatry, Eginition Hospital, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece
| | - Angeliki-Aikaterini Ntigrintaki
- First Department of Psychiatry, Eginition Hospital, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece
| | - Irene Ralli
- First Department of Psychiatry, Eginition Hospital, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece
| | - Stefanos Dimitrakopoulos
- First Department of Psychiatry, Eginition Hospital, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece
- Psychiatric Clinic, 414 Military Hospital of Athens, 15236 Palea Penteli, Greece
| | - Konstantinos Kollias
- First Department of Psychiatry, Eginition Hospital, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece
| | - Nikos C Stefanis
- First Department of Psychiatry, Eginition Hospital, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece
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De Pieri M, Berg X, Georgiadis F, Brakowski J, Burrer A, Sabé M, Kaliuzhna M, Vetter S, Seifritz E, Homan P, Kaiser S, Kirschner M. Negative Symptoms and Their Associations With Other Clinical Variables and Working Memory Across the Schizophrenia Spectrum and Bipolar Disorder. SCHIZOPHRENIA BULLETIN OPEN 2024; 5:sgae024. [PMID: 39430551 PMCID: PMC11487101 DOI: 10.1093/schizbullopen/sgae024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 10/22/2024]
Abstract
Negative symptoms (NS) of schizophrenia spectrum disorders (SSD) are also prevalent in bipolar disorder I (BD-I) and show associations with impaired working memory (WM). However, empirical work on their relationship to other clinical factors across SSD and BD-I is sparse. Here, we characterized the associations of NS with key clinical variables and WM capacity across a combined sample of SSD and BD. We included 50 outpatients with SSD and 49 with BD-I and assessed NS domains using SANS global scores for avolition-apathy, anhedonia-asociality, alogia, and blunted affect. We assessed the transdiagnostic relationship between NS and other clinical variables, including positive symptoms, disorganization, depressive symptoms, and antipsychotic medication, using multiple regressions. The strength of these associations was further determined through dominance analyses. Finally, we used multiple regression to assess the relationship between NS domains and WM. To assess the generalizability of transdiagnostic associations, analyses were repeated in each diagnostic group separately. Across SSD and BD-I, disorganization was associated with avolition-apathy and anhedonia-asociality and depressive symptoms additionally predicted anhedonia-asociality. Antipsychotic dose was associated with blunted affect while group differences only predicted alogia. Higher avolition-apathy was related to impaired WM transdiagnostically, partially mediated by the severity of disorganization, whereas only in BD-I higher anhedonia-asociality was associated with better WM capacity. This study demonstrated transdiagnostic associations of both avolition-apathy and anhedonia-asociality with disorganization and identified avolition-apathy as a potential transdiagnostic predictor of WM impairments. Overall, our findings highlight the importance of understanding the relationship between NS domains and other clinical factors with cognitive function across SSD and BD.
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Affiliation(s)
- Marco De Pieri
- Division of Adult Psychiatry, Department of Psychiatry, University Hospitals Geneva, Geneva, Switzerland
| | - Xaver Berg
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital University of Zurich, Zürich, Switzerland
| | - Foivos Georgiadis
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital University of Zurich, Zürich, Switzerland
| | - Janis Brakowski
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital University of Zurich, Zürich, Switzerland
| | - Achim Burrer
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital University of Zurich, Zürich, Switzerland
| | - Michel Sabé
- Division of Adult Psychiatry, Department of Psychiatry, University Hospitals Geneva, Geneva, Switzerland
| | - Mariia Kaliuzhna
- Division of Adult Psychiatry, Department of Psychiatry, University Hospitals Geneva, Geneva, Switzerland
| | - Stefan Vetter
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital University of Zurich, Zürich, Switzerland
| | - Erich Seifritz
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital University of Zurich, Zürich, Switzerland
| | - Philipp Homan
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital University of Zurich, Zürich, Switzerland
- Neuroscience Center Zurich, University of Zurich and Swiss Federal Institute of Technology Zurich, Zürich, Switzerland
| | - Stefan Kaiser
- Division of Adult Psychiatry, Department of Psychiatry, University Hospitals Geneva, Geneva, Switzerland
| | - Matthias Kirschner
- Division of Adult Psychiatry, Department of Psychiatry, University Hospitals Geneva, Geneva, Switzerland
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital University of Zurich, Zürich, Switzerland
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12
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Amoretti S, Mezquida G, Verdolini N, Bioque M, Sánchez-Torres AM, Pina-Camacho L, Zorrilla I, Trabsa A, Rodriguez-Jimenez R, Corripio I, Sarró S, Ibañez A, Usall J, Segarra R, Vieta E, Roberto N, Ramos-Quiroga JA, Tortorella A, Menculini G, Cuesta MJ, Parellada M, González-Pinto A, Berrocoso E, Bernardo M. Negative symptoms and sex differences in first episode schizophrenia: What's their role in the functional outcome? A longitudinal study. SPANISH JOURNAL OF PSYCHIATRY AND MENTAL HEALTH 2023:S2950-2853(23)00010-8. [PMID: 38591832 DOI: 10.1016/j.sjpmh.2023.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 03/17/2023] [Accepted: 04/12/2023] [Indexed: 04/10/2024]
Abstract
INTRODUCTION Negative symptoms (NS) include asociality, avolition, anhedonia, alogia, and blunted affect and are linked to poor prognosis. It has been suggested that they reflect two different factors: diminished expression (EXP) (blunted affect and alogia) and amotivation/pleasure (MAP) (anhedonia, avolition, asociality). The aim of this article was to examine potential sex differences among first-episode schizophrenia (FES) patients and analyze sex-related predictors of two NS symptoms factors (EXP and MAP) and functional outcome. MATERIAL AND METHODS Two hundred and twenty-three FES (71 females and 152 males) were included and evaluated at baseline, six-months and one-year. Repeated measures ANOVA was used to examine the effects of time and sex on NS and a multiple linear regression backward elimination was performed to predict NS factors (MAP-EXP) and functioning. RESULTS Females showed fewer NS (p=0.031; Cohen's d=-0.312), especially those related to EXP (p=0.024; Cohen's d=-0.326) rather than MAP (p=0.086), than males. In both male and female group, worse premorbid adjustment and higher depressive symptoms made a significant contribution to the presence of higher deficits in EXP at one-year follow-up, while positive and depressive symptoms predicted alterations in MAP. Finally, in females, lower deficits in MAP and better premorbid adjustment predicted better functioning at one-year follow-up (R2=0.494; p<0.001), while only higher deficits in MAP predicted worse functioning in males (R2=0.088; p=0.012). CONCLUSIONS Slightly sex differences have been found in this study. Our results lead us to consider that early interventions of NS, especially those focusing on motivation and pleasure symptoms, could improve functional outcomes.
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Affiliation(s)
- Silvia Amoretti
- Group of Psychiatry, Mental Health and Addictions, Vall d'Hebron Research Institute (VHIR), Psychiatric Genetics Unit, Vall d'Hebron Research Institute (VHIR), Barcelona, Catalonia, Spain; Barcelona Clinic Schizophrenia Unit, Hospital Clinic, Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Institut d'Investigacions Biomèdiques, August Pi I Sunyer (IDIBAPS), Barcelona, Spain; Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Barcelona, Spain; Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), Barcelona, Spain; Institute of Neurosciences (UBNeuro), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Psychiatry, University of Perugia, Perugia, Italy
| | - Gisela Mezquida
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic, Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Institut d'Investigacions Biomèdiques, August Pi I Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Serra Húnter Fellow, Department of Basic Clinical Practice, University of Barcelona
| | - Norma Verdolini
- Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Barcelona, Spain; Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), Barcelona, Spain; Institute of Neurosciences (UBNeuro), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.
| | - Miquel Bioque
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic, Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Institut d'Investigacions Biomèdiques, August Pi I Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Ana M Sánchez-Torres
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Laura Pina-Camacho
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, Madrid, Spain
| | - Iñaki Zorrilla
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Universidad del País Vasco/Euskal Herriko Unibertsitatea, Spain; Department of Psychiatry, Araba University Hospital, Bioaraba Research Institute, Vitoria-Gasteiz, Spain
| | - Amira Trabsa
- Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Roberto Rodriguez-Jimenez
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain; CogPsy Group, Universidad Complutense de Madrid (UCM), Madrid, Spain
| | - Iluminada Corripio
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Psychiatry, Institut d'Investigació Biomèdica-Sant Pau (IIB-SANT PAU), Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Salvador Sarró
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
| | - Angela Ibañez
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Psychiatry, Hospital Universitario Ramón y Cajal, IRYCIS, Universidad de Alcalá, Madrid, Spain
| | - Judith Usall
- Parc Sanitari Sant Joan de Déu, Teaching, Research & Innovation Unit, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain
| | - Rafael Segarra
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Cruces University Hospital, BioCruces Health Research Institute, University of the Basque Country (UPV/EHU), Vizcaya, Spain
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Barcelona, Spain; Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), Barcelona, Spain; Institute of Neurosciences (UBNeuro), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.
| | - Natalia Roberto
- Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Barcelona, Spain; Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), Barcelona, Spain; Institute of Neurosciences (UBNeuro), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Josep Antoni Ramos-Quiroga
- Group of Psychiatry, Mental Health and Addictions, Vall d'Hebron Research Institute (VHIR), Psychiatric Genetics Unit, Vall d'Hebron Research Institute (VHIR), Barcelona, Catalonia, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, 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
| | - Alfonso Tortorella
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Catalonia, Spain
| | - Giulia Menculini
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Catalonia, Spain
| | - Manuel J Cuesta
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Mara Parellada
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, Madrid, Spain
| | - Ana González-Pinto
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Universidad del País Vasco/Euskal Herriko Unibertsitatea, Spain; Department of Psychiatry, Araba University Hospital, Bioaraba Research Institute, Vitoria-Gasteiz, Spain
| | - Esther Berrocoso
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Neuropsychopharmacology and Psychobiology Research Group, Department of Psychology, University of Cádiz, Cádiz, Spain; Instituto de Investigación e Innovación Biomédica de Cádiz, INiBICA, Hospital Universitario Puerta del Mar, Cádiz, Spain
| | - Miguel Bernardo
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic, Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Institut d'Investigacions Biomèdiques, August Pi I Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
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13
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Mezquida G, Amoretti S, Bioque M, García-Rizo C, Sánchez-Torres AM, Pina-Camacho L, Lopez-Pena P, Mané A, Rodriguez-Jimenez R, Corripio I, Sarró S, Ibañez A, Usall J, García-Portilla MP, Vieta E, Mas S, Cuesta MJ, Parellada M, González-Pinto A, Berrocoso E, Bernardo M. Identifying risk factors for predominant negative symptoms from early stages in schizophrenia: A longitudinal and sex-specific study in first-episode schizophrenia patients. SPANISH JOURNAL OF PSYCHIATRY AND MENTAL HEALTH 2023; 16:159-168. [PMID: 37716849 DOI: 10.1016/j.rpsm.2023.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 01/25/2023] [Accepted: 01/26/2023] [Indexed: 02/04/2023]
Abstract
BACKGROUND People with schizophrenia and predominant negative symptoms (PNS) present a different clinical and functional profile from those without such symptomatology. Few studies have examined the risk factors and the incidence of PNS in first-episode schizophrenia patients (FES) and differentiating by sex. This study aims to assess prevalence, demographic and clinical characteristics related to PNS from early stages and to study if there are sex-specific features in terms of developing PNS. METHODS In a sample of 121 FES patients derived from a multicentre and naturalistic study, those who developed PNS at 12-months were identified. Environmental, clinical, functional, and cognitive ratings were examined longitudinally. Binary logistic regressions were applied to detect baseline risk factors for developing PNS at one-year follow-up. RESULTS In the present FES cohort, 24.8% of the patients (n=30) developed PNS (20% of the women, 27.6% of the men). Compared to non-PNS (75.2%, n=91), at baseline, PNS group had more negative (t=-6.347; p<0.001) and depressive symptoms (t=-5.026; p<0.001), poorer premorbid adjustment (t=-2.791; p=0.006) and functional outcome (t=-2.649; p<0.001), more amotivation (t=-7.333; p<0.001), more expressivity alterations (t=-4.417; p<0.001), worse cognitive reserve (t=2.581; p<0.011), a lower estimated intelligent quotient (t=2.417; p=0.017), worse verbal memory (t=2.608; p=0.011), and worse fluency (t=2.614; p=0.010). Regressions showed that the premorbid adjustment was the main predictor of PNS in females (p=0.007; Exp(B)=1.106) while in males were a worse verbal memory performance (p=0.031; Exp(B)=0.989) and more alterations in the motivation domain (p=0.001; Exp(B)=1.607). CONCLUSIONS A different baseline clinical profile and notable risk factors differences in the development of PNS between males and females were found. Results suggest that sex may be an important confounder in studies comparing schizophrenia patients with predominant and non-predominant negative symptomatology.
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Affiliation(s)
- Gisela Mezquida
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Basic Clinical Practice, Pharmacology Unit, University of Barcelona, Barcelona, Spain.
| | - Silvia Amoretti
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Group of Psychiatry, Mental Health and Addictions, Vall d'Hebron Research Institute (VHIR), Psychiatric Genetics Unit, Vall d'Hebron Research Institute (VHIR), Barcelona, Catalonia, Spain; Bipolar and Depressive Disorders Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, IDIBAPS, University of Barcelona, Barcelona, Catalonia, Spain
| | - Miquel Bioque
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Clemente García-Rizo
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Ana M Sánchez-Torres
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Laura Pina-Camacho
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, Madrid, Spain
| | - Purificación Lopez-Pena
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Universidad del País Vasco/Euskal Herriko Unibertsitatea, Spain; Department of Psychiatry, Araba University Hospital, Bioaraba Research Institute, Vitoria-Gasteiz, Spain
| | - Anna Mané
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Hospital del Mar Medical Research Institute, Barcelona, Spain; Fundació Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Roberto Rodriguez-Jimenez
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain; CogPsy Group, Universidad Complutense de Madrid (UCM), Madrid, Spain
| | - Iluminada Corripio
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Psychiatry, Institut d'Investigació Biomèdica-Sant Pau (IIB-SANT PAU), Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Salvador Sarró
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
| | - Angela Ibañez
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Psychiatry, Hospital Universitario Ramón y Cajal, IRYCIS, Universidad de Alcalá, Madrid, Spain
| | - Judith Usall
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Etiopatogènia i Tractament Dels Trastorns Mentals Greus (MERITT), Parc Sanitari Sant Joan de Déu, Teaching, Research & Innovation Unit, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain
| | - María Paz García-Portilla
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Psychiatry, University of Oviedo; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA; Instituto de Neurociencias del Principado de Asturias (INEUROPA; Servicio de Psiquiatría, Oviedo, SESPA, Spain
| | - Eduard Vieta
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Bipolar and Depressive Disorders Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, IDIBAPS, University of Barcelona, Barcelona, Catalonia, Spain
| | - Sergi Mas
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Basic Clinical Practice, Pharmacology Unit, University of Barcelona, Barcelona, Spain; August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Spain
| | - Manuel J Cuesta
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Mara Parellada
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, Madrid, Spain
| | - Ana González-Pinto
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Universidad del País Vasco/Euskal Herriko Unibertsitatea, Spain; Department of Psychiatry, Araba University Hospital, Bioaraba Research Institute, Vitoria-Gasteiz, Spain
| | - Esther Berrocoso
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Neuropsychopharmacology and Psychobiology Research Group, Department of Psychology, University of Cádiz, Cádiz, Spain; Instituto de Investigación e Innovación Biomédica de Cádiz, INiBICA, Hospital Universitario Puerta del Mar, Cádiz, Spain
| | - Miguel Bernardo
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.
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14
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Morillo-Kraus E, Fonseca-Pedrero E, Senín-Calderón C, Rodríguez-Testal JF. Perception of belonging and social anticipatory pleasure: Mediating variables of negative symptoms in the general population. CURRENT PSYCHOLOGY 2023; 42:15847-15857. [DOI: 10.1007/s12144-022-02912-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/11/2022] [Indexed: 11/03/2022]
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15
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Erzin G, Pries LK, Dimitrakopoulos S, Ralli I, Xenaki LA, Soldatos R–F, Vlachos I, Selakovic M, Foteli S, Kosteletos I, Nianiakas N, Mantonakis L, Rizos E, Kollias K, Van Os J, Guloksuz S, Stefanis N. Association between exposome score for schizophrenia and functioning in first-episode psychosis: results from the Athens first-episode psychosis research study. Psychol Med 2023; 53:2609-2618. [PMID: 34789350 PMCID: PMC10123830 DOI: 10.1017/s0033291721004542] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 10/18/2021] [Accepted: 10/19/2021] [Indexed: 12/20/2022]
Abstract
BACKGROUND Evidence suggests that environmental factors not only increase psychosis liability but also influence the prognosis and outcomes of psychotic disorders. We investigated temporal and cross-sectional associations of a weighted score of cumulative environmental liability for schizophrenia - the exposome score for schizophrenia (ES-SCZ) - with functioning in first-episode psychosis (FEP). METHODS Data were derived from the baseline and 1-month assessments of the Athens FEP Research Study that enrolled 225 individuals with FEP. The Global Assessment of Functioning (GAF) and the Personal and Social Performance Scale (PSP) were used to measure social, occupational, and psychological functioning. The ES-SCZ was calculated based on the previously validated method. RESULTS ES-SCZ was associated with the total scores of GAF and PSP at baseline and 1-month assessments. These findings remained significant when accounting for several associated alternative explanatory variables, including other environmental factors (obstetric complications, migration, ethnic minority), clinical characteristics (duration of untreated psychosis, symptom severity, previous antipsychotic use), and family history of psychosis, demonstrating that the association between ES-SCZ and functioning is over and above other risk factors and cannot be explained by symptom severity alone. Functioning improved from baseline to 1-month assessment, but no significant ES-SCZ-by-time interaction was found on functioning, indicating that functioning changes were not contingent on ES-SCZ. CONCLUSIONS Our findings suggest that rather than a predictor of functional improvement, ES-SCZ represents a stable severity indicator that captures poor functioning in early psychosis. Environmental risk loading for schizophrenia (ES-SCZ) can be beneficial for clinical characterization and incorporated into transdiagnostic staging models.
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Affiliation(s)
- Gamze Erzin
- Department of Psychiatry, University of Health Sciences Ankara Diskapi Training and Research Hospital, Ankara, Turkey
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Lotta-Katrin Pries
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Stefanos Dimitrakopoulos
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
- Psychiatric Clinic, 414 Military Hospital of Athens, Penteli, Greece
| | - Irene Ralli
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Lida-Alkisti Xenaki
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Rigas – Filippos Soldatos
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Ilias Vlachos
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Mirjana Selakovic
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Stefania Foteli
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Ioannis Kosteletos
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Nikos Nianiakas
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Leonidas Mantonakis
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Emmanouil Rizos
- Second Department of Psychiatry, National and Kapodistrian University of Athens Medical School, ‘ATTIKON’ University Hospital, Athens, Greece
| | - Konstantinos Kollias
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
| | - Jim Van Os
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Psychiatry, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Sinan Guloksuz
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Nikos Stefanis
- First Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece
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Sabe M, Chen C, Perez N, Solmi M, Mucci A, Galderisi S, Strauss GP, Kaiser S. Thirty years of research on negative symptoms of schizophrenia: A scientometric analysis of hotspots, bursts, and research trends. Neurosci Biobehav Rev 2023; 144:104979. [PMID: 36463972 DOI: 10.1016/j.neubiorev.2022.104979] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 11/19/2022] [Accepted: 11/28/2022] [Indexed: 12/02/2022]
Abstract
Research on negative symptoms of schizophrenia has received renewed interest since the 1980s. A scientometric analysis that objectively maps scientific knowledge, with changes in recent trends, is currently lacking. We searched the Web of Science Core Collection (WOSCC) on December 17, 2021 using relevant keywords. R-bibliometrix and CiteSpace were used to perform the analysis. We retrieved 27,568 references published between 1966 and 2022. An exponential rise in scientific interest was observed, with an average annual growth rate in publications of 16.56% from 1990 to 2010. The co-cited reference network that was retrieved presented 24 different clusters with a well-structured network (Q=0.7921; S=0.9016). Two distinct major research trends were identified: research on the conceptualization and treatment of negative symptoms. The latest trends in research on negative symptoms include evidence synthesis, nonpharmacological treatments, and computational psychiatry. Scientometric analyses provide a useful summary of changes in negative symptom research across time by identifying intellectual turning point papers and emerging trends. These results will be informative for systematic reviews, meta-analyses, and generating novel hypotheses.
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Affiliation(s)
- Michel Sabe
- Division of Adult Psychiatry, Department of Psychiatry, Geneva University Hospitals, Switzerland.
| | - Chaomei Chen
- College of Computing & Informatics, Drexel University, Philadelphia, PA, USA
| | - Natacha Perez
- Division of Adult Psychiatry, Department of Psychiatry, Geneva University Hospitals, Switzerland
| | - Marco Solmi
- Department of Psychiatry, University of Ottawa, Ontario, Canada; Department of Mental Health, The Ottawa Hospital, Ontario, Canada; Ottawa Hospital Research Institute (OHRI) Clinical Epidemiology Program University of Ottawa, Ontario, Ottawa; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada; Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
| | - Armida Mucci
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Silvana Galderisi
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy
| | | | - Stefan Kaiser
- Division of Adult Psychiatry, Department of Psychiatry, Geneva University Hospitals, Switzerland
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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: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [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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Relapse of first-episode schizophrenia patients and neurocognitive impairment: The role of dopaminergic and anticholinergic burden. Schizophr Res 2022; 248:331-340. [PMID: 36155307 DOI: 10.1016/j.schres.2022.09.014] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 08/11/2022] [Accepted: 09/05/2022] [Indexed: 11/24/2022]
Abstract
BACKGROUND The prevention of relapse may be a key factor to diminish the cognitive impairment of first-episode schizophrenia (FES) patients. We aimed to ascertain the effects of relapse, and dopaminergic and anticholinergic treatment burdens on cognitive functioning in the follow-up. METHODS Ninety-nine FES patients participated in this study. Cognitive assessments were performed at baseline and after 3 years of follow-up or, in those patients who relapsed, after >2 months of stabilization of the new acute psychotic episode. The primary outcomes were final cognitive dimensions. RESULTS Repeated measures MANOVA analyses showed improvements in the whole sample on the end-point assessments in processing speed and social cognition. However, only impairment in social cognition showed a significant interaction with relapse by time in this sample. Relapse in FES patients was significantly associated with poor performance on end-point assessments of working memory, social cognition and global cognitive score. Anticholinergic burden, but not dopaminergic burden, was associated with verbal memory impairment. These significant associations resulted after controlling for baseline cognitive functioning, relapse and dopaminergic burden. CONCLUSIONS The relationship between relapse and cognitive impairment in recovered FES patients seems to be particularly complex at the short-term follow-up of these patients. While relapse was associated with working memory, social cognition impairments and global cognitive score, anticholinergic burden might play an additional worsening effect on verbal memory. Thus, tailoring or changing antipsychotics and other drugs to reduce their anticholinergic burden may be a potential modifiable factor to diminish cognitive impairment at this stage of the illness.
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Rodríguez-Toscano E, Martínez K, Fraguas D, Janssen J, Pina-Camacho L, Arias B, Vieta E, Mezquida G, Amoretti S, Bernardo M, Castro-Fornieles J, Cuesta-Zorita MJ, Lobo A, González-Pinto A, Collado IC, Mané A, Arango C, Parellada M. Prefrontal abnormalities, executive dysfunction and symptoms severity are modulated by COMT Val 158Met polymorphism in first episode psychosis. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2022; 15:74-87. [PMID: 35840287 DOI: 10.1016/j.rpsmen.2022.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 11/06/2021] [Indexed: 06/15/2023]
Abstract
INTRODUCTION Core dysfunctions proposed for psychotic disorders include prefrontal cortex (PFC) dopaminergic hypoactivity, executive function (EF) deficits and reduced gray matter in the PFC. The Val variant of COMT Val158Met polymorphism is associated with reduced dopaminergic signaling in the PFC. However, it is unclear how COMT Val158Met modulates PFC gray matter reduction, EF deficits and symptom severity at the time of the first psychotic episode. METHODS The effect of COMT on both EF performance and prefrontal volume (PFC-VOL) was tested in 158 first episode psychosis (FEP) patients and 141 healthy controls (HC) matched for age (range 9-35 years), sex, ethnicity, handedness and COMT Val158Met distribution. EF and PFC-VOL were compared between FEP and HC groups within each polymorphism status (Met/Met versus Val carriers) to assess whether COMT influenced diagnostic differences. Next, correlations between PFC-VOL and EF performance were computed, as well as between both variables and other clinical characteristics of interest (PANSS scores, PAS infancy and premorbid IQ) in the FEP sample. RESULTS COMT influenced the diagnostic differences mainly in PFC-VOL, but also in EF performance. FEP-Val carriers showed lower EF scores and reduced PFC-VOL compared to the HC group but also poorer EF performance than FEP Met/Met. Poorer EF performance was associated with smaller PFC-VOL, and both were related to increased severity of negative symptoms, poorer premorbid adjustment, and lower estimated premorbid IQ in FEP patients. CONCLUSIONS Our findings suggest that COMT Val158Met polymorphism might contribute to PFC-VOL reductions, executive dysfunctions and symptom severity in FEP patients.
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Affiliation(s)
- Elisa Rodríguez-Toscano
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain; Experimental Psychology, Cognitive Psychology and Speech & Language Therapy Immunology, Faculty of Psychology, Universidad Complutense Madrid, Spain.
| | - Kenia Martínez
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain; Ciber del Area de Salud Mental (CIBERSAM), Spain
| | - David Fraguas
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain; Ciber del Area de Salud Mental (CIBERSAM), Spain; School of Medicine, Universidad Complutense, Madrid, Spain
| | - Joost Janssen
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain; Ciber del Area de Salud Mental (CIBERSAM), Spain
| | - Laura Pina-Camacho
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain; Ciber del Area de Salud Mental (CIBERSAM), Spain; Department of Child and Adolescent Psychiatry, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Bárbara Arias
- Departament Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Institut de Biomedicina de la Universitat de Barcelona (IBUB), Universitat de Barcelona, CIBERSAM, Barcelona, Spain
| | - Eduard Vieta
- Ciber del Area de Salud Mental (CIBERSAM), Spain; Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | - Gisela Mezquida
- Ciber del Area de Salud Mental (CIBERSAM), Spain; Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain; Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, Spain; Department of Medicine, Institut de Neurociències, Universitat de Barcelona, Spain
| | - Silvia Amoretti
- Ciber del Area de Salud Mental (CIBERSAM), Spain; Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain; Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, Spain; Department of Medicine, Institut de Neurociències, Universitat de Barcelona, Spain
| | - Miguel Bernardo
- Ciber del Area de Salud Mental (CIBERSAM), Spain; Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain; Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, Spain; Department of Medicine, Institut de Neurociències, Universitat de Barcelona, Spain; August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Spain
| | - Josefina Castro-Fornieles
- Department of Child and Adolescent Psychiatry and Psychology, Clínic Institute of Neurosciences, Hospital Clínic de Barcelona, 2017SGR881, University of Barcelona, CIBERSAM, IDIBAPS, Barcelona, Spain
| | - Manuel Jesús Cuesta-Zorita
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Antonio Lobo
- Department of Medicine and Psychiatry, Zaragoza University, Spain; Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, CIBERSAM, Madrid, Spain
| | - Ana González-Pinto
- Ciber del Area de Salud Mental (CIBERSAM), Spain; Department of Psychiatry, Araba University Hospital, Bioaraba Research Institute, Department of Neurociences, University of the Basque Country, Vitoria, Spain
| | - Iluminada Corripio Collado
- Department of Psychiatry, Sant Pau Hospital, Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
| | - Anna Mané
- Ciber del Area de Salud Mental (CIBERSAM), Spain; Hospital del Mar Medical Research Institute (IMIM), Spain; Autonomous University of Barcelona, Spain
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain; Ciber del Area de Salud Mental (CIBERSAM), Spain; School of Medicine, Universidad Complutense, Madrid, Spain
| | - Mara Parellada
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain; Ciber del Area de Salud Mental (CIBERSAM), Spain; School of Medicine, Universidad Complutense, Madrid, Spain
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20
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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: 4.7] [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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Rodríguez-Toscano E, Martínez K, Fraguas D, Janssen J, Pina-Camacho L, Arias B, Vieta E, Mezquida G, Amoretti S, Bernardo M, Castro-Fornieles J, Cuesta-Zorita MJ, Lobo A, González-Pinto A, Collado IC, Mané A, Arango C, Parellada M. Prefrontal abnormalities, executive dysfunction and symptoms severity are modulated by COMT Val158Met polymorphism in first episode psychosis. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2021. [PMID: 35840287 DOI: 10.1016/j.rpsm.2021.11.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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22
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Bernardo M, Amoretti S, Cuesta MJ, Parellada M, Mezquida G, González-Pinto A, Bergé D, Lobo A, Aguilar EJ, Usall J, Corripio I, Bobes J, Rodríguez-Jiménez R, Sarró S, Contreras F, Ibáñez Á, Gutiérrez M, Micó JA. The prevention of relapses in first episodes of schizophrenia: The 2EPs Project, background, rationale and study design. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2021; 14:164-176. [PMID: 34456031 DOI: 10.1016/j.rpsmen.2021.08.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Accepted: 07/15/2020] [Indexed: 12/16/2022]
Abstract
Up to 80% of first-episode psychosis patients suffer a relapse within five years of the remission. Relapse should be an important focus of prevention given the potential harm to the patient and family. It threatens to disrupt their psychosocial recovery, increases the risk of resistance to treatment and has been associated with greater direct and indirect costs for society. Based on a previous project entitled "Genotype-phenotype and environment. Application to a predictive model in first psychotic episodes" (PEPs Project), the project "Clinical and neurobiological determinants of second episodes of schizophrenia. Longitudinal study of first episode of psychosis" was designed, also known as the 2EPs Project. It aimed to identify and characterize those factors that predict a relapse within the years immediately following a first episode. This project has focused on following the clinical course, with neuropsychological assessments, biological and neuroanatomical measures, genetic adherence and physical health monitoring in order to compare a subgroup of patients with a second episode to another group of patients which remains in remission. The main objective of the present article is to describe the rationale of the 2EPs Project, explaining the measurement approach adopted and providing an overview of the selected clinical and functional measures. 2EPs Project is a multicenter, coordinated, naturalistic, longitudinal follow-up study over three years in a Spanish sample of patients in remission after a first-psychotic episode of schizophrenia. It is closely monitoring the clinical course of the cases recruited to compare the subgroup of patients with a second episode to that which remains in remission. The sample is composed of 223 subjects recruited from 15 clinical centres in Spain with experience of the preceding PEPs Study project, albeit 2EPs being an expanded version with new basic groups in biological research. From the total sample recruited, 63 patients presented a relapse (44%). 2EPs arose to characterize first episodes in an exhaustive, novel and multimodal way, thus contributing towards the development of a predictive model of relapse. Identifying the characteristics of patients who relapse could improve early detection and intervention.
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Affiliation(s)
- Miguel Bernardo
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, Barcelona, Spain; Departament de Medicina, Institut de Neurociències, Universitat de Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain; August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.
| | - Silvia Amoretti
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, Barcelona, Spain; Departament de Medicina, Institut de Neurociències, Universitat de Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain; August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Manuel Jesús Cuesta
- Departamento de Psiquiatría, Complejo Hospitalario de Navarra, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Navarra, Spain
| | - Mara Parellada
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain; Servicio de Psiquiatría del Niño y del Adolescente, Hospital General Universitario Gregorio Marañón (IiSGM), Facultad de Medicina, Universidad Complutense, CIBERSAM, Madrid, España
| | - Gisela Mezquida
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, Barcelona, Spain; Departament de Medicina, Institut de Neurociències, Universitat de Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain; August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Ana González-Pinto
- Department of Psychiatry, Araba University Hospital, Bioaraba Research Institute, Department of Neurociences, University of the Basque Country, CIBERSAM, Vitoria, Spain
| | - Daniel Bergé
- Department of Neurosciences and Psychiatry, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Antonio Lobo
- Department of Medicine and Psychiatry. Universidad de Zaragoza. Instituto de Investigación Aragón, CIBERSAM, Zaragoza, Spain
| | - Eduardo J Aguilar
- Department of Psychiatry, Hospital Clínico Universitario de Valencia, School of Medicine, Universidad de Valencia, CIBERSAM, Valencia, Spain
| | - Judith Usall
- Parc Sanitari Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, SantBoi de Llobregat; Fundació Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain
| | - Iluminada Corripio
- Department of Psychiatry, Biomedical Research Institute Sant Pau (IIB-SANT PAU), Santa Creu and Sant Pau Hospital; Autonomous University of Barcelona (UAB), CIBERSAM, Barcelona, Spain
| | - Julio Bobes
- Área de Psiquiatría, Universidad de Oviedo, Servicio de Salud del Principado de Asturias, Instituto de Neurociencias del Principado de Asturias (INEUROPA), CIBERSAM, Oviedo, Asturias, Spain
| | - Roberto Rodríguez-Jiménez
- Departamento de Psiquiatría, Instituto de Investigación Sanitaria Hospital 12 de Octubre (Imas12), CogPsy-Group, Universidad Complutense de Madrid (UCM), CIBERSAM, Madrid, Spain
| | - Salvador Sarró
- FIDMAG Research Foundation Germanes Hospitalàries, CIBERSAM, Barcelona, Spain
| | - Fernando Contreras
- Psychiatry Department, Bellvitge University Hospital-IDIBELL, Barcelona, Spain; Department of Clinical Sciences, School of Medicine, University of Barcelona, Barcelona, Spain
| | - Ángela Ibáñez
- Departamento de Psiquiatría, Hospital Ramon y Cajal, Universidad de Alcalá, IRYCIS, CIBERSAM, Madrid, Spain
| | - Miguel Gutiérrez
- Department of Psychiatry, Hospital Santiago Apóstol, University of the Basque Country, CIBERSAM, Vitoria, Spain
| | - Juan Antonio Micó
- Grupo de Investigación en Neuropsicofarmacología y Psicobiología, Departamento de Neurociencias, Universidad de Cádiz, Instituto de Investigación e Innovación en Ciencias Biomédicas de Cádiz, INiBICA, Hospital Universitario Puerta del Mar, CIBERSAM, Cádiz, Spain
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23
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Amoretti S, Mezquida G, Rosa AR, Bioque M, Cuesta MJ, Pina-Camacho L, Garcia-Rizo C, Barcones F, González-Pinto A, Merchán-Naranjo J, Corripio I, Vieta E, Baeza I, Cortizo R, Bonnín CM, Torrent C, Bernardo M. The functioning assessment short test (FAST) applied to first-episode psychosis: Psychometric properties and severity thresholds. Eur Neuropsychopharmacol 2021; 47:98-111. [PMID: 33658165 DOI: 10.1016/j.euroneuro.2021.02.007] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 02/11/2021] [Indexed: 02/07/2023]
Abstract
Functional impairment is a defining feature of psychotic disorders. The Functional Assessment Short Test (FAST) is one of the most widely used instruments to measure psychosocial functioning. However, cut-offs of impairment have been well-established for bipolar disorders, but not for other clinical populations. This study aims to analyse psychometric properties of the FAST and establish their corresponding cut-off values for the different severity gradations in a first-episode of non-affective psychosis (FEP) patients. Global Assessment Functioning (GAF) and FAST ratings from 212 non-affective FEP and 204 healthy controls were analyzed. The psychometric properties of FAST (internal consistency, concurrent validity, discriminant validity, factorial analyses and sensitivity to change) were analyzed. The severity gradations of the FAST were defined by the congruence between two grading methods: linear regression analysis (LRA) and percentiles. The FAST showed strong psychometric properties. LRA with the GAF scores yielded the following equation: GAFscore= 80.83 - 0.639*FASTscore. The FAST ranges in non-affective FEP patients derived from LRA and percentiles, were as follows: 0-9 (No impairment); 10-19 (Minimal impairment); 20-34 (Mild impairment); 35-45 (Moderate impairment); 46-72 (Severe impairment). Patients with no functional impairment had a higher socioeconomic status, fewer depressive and negative symptoms, lower severity of illness and higher cognitive reserve level than the others groups. In conclusion, the FAST shows optimal psychometric properties which corroborate its applicability in FEP populations. It is a well-demonstrated valid instrument and the present cut-off scores could be implemented in clinical and research practice to assess properly the psychosocial functional outcome of non-affective FEP populations.
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Affiliation(s)
- 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
| | - Adriane R Rosa
- Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.; Pharmacology Department and Postgraduate Program: Psychiatry and Behavioral Science, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
| | - 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
| | - Manuel J Cuesta
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain.; IdiSNA, Navarra Institute for Health Research, 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 Garcia-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
| | - Fe Barcones
- Department of Family Medicine, Hospital Universitario Miguel Servet, Zaragoza, Spain.; Department of Medicine and Psychiatry. Universidad de Zaragoza, 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, Araba University Hospital, Bioaraba Research Institute, Department of Neurociences, University of the Basque Country, 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
| | - Eduard Vieta
- 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.; Bipolar and Depressive Disorders Unit, Hospital Clinic of Barcelona, Neuroscience Institute, Barcelona, Spain..
| | - Inmaculada Baeza
- 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.; Department of Child and Adolescent Psychiatry and Psychology, Clínic Institute of Neurosciences, Hospital Clínic de Barcelona, 2017SGR881, University of Barcelona, Barcelona, Spain
| | - Romina Cortizo
- Instituto de Neuropsiquiatria y Adicciones (INAD), Barcelona, Spain
| | - C Mar Bonnín
- 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.; Bipolar and Depressive Disorders Unit, Hospital Clinic of Barcelona, Neuroscience Institute, Barcelona, Spain
| | - Carla Torrent
- 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.; Bipolar and Depressive Disorders Unit, Hospital Clinic of Barcelona, Neuroscience Institute, Barcelona, 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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24
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Amoretti S, Verdolini N, Mezquida G, Rabelo-da-Ponte FD, Cuesta MJ, Pina-Camacho L, Gomez-Ramiro M, De-la-Cámara C, González-Pinto A, Díaz-Caneja CM, Corripio I, Vieta E, de la Serna E, Mané A, Solé B, Carvalho AF, Serra M, Bernardo M. Identifying clinical clusters with distinct trajectories in first-episode psychosis through an unsupervised machine learning technique. Eur Neuropsychopharmacol 2021; 47:112-129. [PMID: 33531261 DOI: 10.1016/j.euroneuro.2021.01.095] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 01/04/2021] [Accepted: 01/18/2021] [Indexed: 12/22/2022]
Abstract
The extreme variability in symptom presentation reveals that individuals diagnosed with a first-episode psychosis (FEP) may encompass different sub-populations with potentially different illness courses and, hence, different treatment needs. Previous studies have shown that sociodemographic and family environment factors are associated with more unfavorable symptom trajectories. The aim of this study was to examine the dimensional structure of symptoms and to identify individuals' trajectories at early stage of illness and potential risk factors associated with poor outcomes at follow-up in non-affective FEP. One hundred and forty-four non-affective FEP patients were assessed at baseline and at 2-year follow-up. A Principal component analysis has been conducted to identify dimensions, then an unsupervised machine learning technique (fuzzy clustering) was performed to identify clinical subgroups of patients. Six symptom factors were extracted (positive, negative, depressive, anxiety, disorganization and somatic/cognitive). Three distinct clinical clusters were determined at baseline: mild; negative and moderate; and positive and severe symptoms, and five at follow-up: minimal; mild; moderate; negative and depressive; and severe symptoms. Receiving a low-dose antipsychotic, having a more severe depressive symptomatology and a positive family history for psychiatric disorders were risk factors for poor recovery, whilst having a high cognitive reserve and better premorbid adjustment may confer a better prognosis. The current study provided a better understanding of the heterogeneous profile of FEP. Early identification of patients who could likely present poor outcomes may be an initial step for the development of targeted interventions to improve illness trajectories and preserve psychosocial functioning.
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Affiliation(s)
- Silvia Amoretti
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Neuroscience Institute, University of Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Spain; Bipolar and Depressive Disorders Unit, Hospital Clinic, University of Barcelona, Institute of Neuroscience, IDIBAPS, CIBERSAM, 170 Villarroel st, 12-0, 08036, Barcelona, Catalonia, Spain
| | - Norma Verdolini
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Spain; Bipolar and Depressive Disorders Unit, Hospital Clinic, University of Barcelona, Institute of Neuroscience, IDIBAPS, CIBERSAM, 170 Villarroel st, 12-0, 08036, Barcelona, Catalonia, Spain
| | - Gisela Mezquida
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Neuroscience Institute, University of Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), 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), 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
| | - Marta Gomez-Ramiro
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Neuroscience Institute, University of Barcelona, Spain
| | - Concepción De-la-Cámara
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Neuroscience Institute, University of Barcelona, Spain; Hospital Clínico Universitario and Instituto de Investigación Sanitaria (IIS), Department of Medicine and Psychiatry. Universidad de Zaragoza, Zaragoza, Spain
| | - Ana González-Pinto
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Spain; Department of Psychiatry, Araba University Hospital, Bioaraba Research Institute, Department of Neurociences, University of the Basque Country, Vitoria, Spain
| | - Covadonga M Díaz-Caneja
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), 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), 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), Spain; Bipolar and Depressive Disorders Unit, Hospital Clinic, University of Barcelona, Institute of Neuroscience, IDIBAPS, CIBERSAM, 170 Villarroel st, 12-0, 08036, Barcelona, Catalonia, Spain.
| | - Elena de la Serna
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Spain; Department of Child and Adolescent Psychiatry and Psychology, Clínic Institute of Neurosciences, Hospital Clínic de Barcelona, 2017SGR881, University of Barcelona, IDIBAPS, Barcelona, Spain
| | - Anna Mané
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Spain; Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain; Autonomous University of Barcelona (UAB), Barcelona, Spain
| | - Brisa Solé
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Spain; Bipolar and Depressive Disorders Unit, Hospital Clinic, University of Barcelona, Institute of Neuroscience, IDIBAPS, CIBERSAM, 170 Villarroel st, 12-0, 08036, Barcelona, Catalonia, Spain
| | - André F Carvalho
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
| | - Maria Serra
- Bipolar and Depressive Disorders Unit, Hospital Clinic, University of Barcelona, Institute of Neuroscience, IDIBAPS, CIBERSAM, 170 Villarroel st, 12-0, 08036, Barcelona, Catalonia, Spain
| | - Miguel Bernardo
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Neuroscience Institute, University of Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Spain
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25
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Bernardo M, Amoretti S, Cuesta MJ, Parellada M, Mezquida G, González-Pinto A, Bergé D, Lobo A, Aguilar EJ, Usall J, Corripio I, Bobes J, Rodríguez-Jiménez R, Sarró S, Contreras F, Ibáñez Á, Gutiérrez M, Micó JA. The prevention of relapses in first episodes of schizophrenia: The 2EPs Project, background, rationale and study design. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2020. [PMID: 33020032 DOI: 10.1016/j.rpsm.2020.07.004] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Up to 80% of first-episode psychosis patients suffer a relapse within five years of the remission. Relapse should be an important focus of prevention given the potential harm to the patient and family. It threatens to disrupt their psychosocial recovery, increases the risk of resistance to treatment and has been associated with greater direct and indirect costs for society. Based on a previous project entitled "Genotype-phenotype and environment. Application to a predictive model in first psychotic episodes" (PEPs Project), the project "Clinical and neurobiological determinants of second episodes of schizophrenia. Longitudinal study of first episode of psychosis" was designed, also known as the 2EPs Project. It aimed to identify and characterize those factors that predict a relapse within the years immediately following a first episode. This project has focused on following the clinical course, with neuropsychological assessments, biological and neuroanatomical measures, genetic adherence and physical health monitoring in order to compare a subgroup of patients with a second episode to another group of patients which remains in remission. The main objective of the present article is to describe the rationale of the 2EPs Project, explaining the measurement approach adopted and providing an overview of the selected clinical and functional measures. 2EPs Project is a multicenter, coordinated, naturalistic, longitudinal follow-up study over three years in a Spanish sample of patients in remission after a first-psychotic episode of schizophrenia. It is closely monitoring the clinical course of the cases recruited to compare the subgroup of patients with a second episode to that which remains in remission. The sample is composed of 223 subjects recruited from 15 clinical centres in Spain with experience of the preceding PEPs Study project, albeit 2EPs being an expanded version with new basic groups in biological research. From the total sample recruited, 63 patients presented a relapse (44%). 2EPs arose to characterize first episodes in an exhaustive, novel and multimodal way, thus contributing towards the development of a predictive model of relapse. Identifying the characteristics of patients who relapse could improve early detection and intervention.
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Affiliation(s)
- Miguel Bernardo
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, Barcelona, Spain; Departament de Medicina, Institut de Neurociències, Universitat de Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain; August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.
| | - Silvia Amoretti
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, Barcelona, Spain; Departament de Medicina, Institut de Neurociències, Universitat de Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain; August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Manuel Jesús Cuesta
- Departamento de Psiquiatría, Complejo Hospitalario de Navarra, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Navarra, Spain
| | - Mara Parellada
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain; Servicio de Psiquiatría del Niño y del Adolescente, Hospital General Universitario Gregorio Marañón (IiSGM), Facultad de Medicina, Universidad Complutense, CIBERSAM, Madrid, España
| | - Gisela Mezquida
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, Barcelona, Spain; Departament de Medicina, Institut de Neurociències, Universitat de Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain; August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | | | | | - Ana González-Pinto
- Department of Psychiatry, Araba University Hospital, Bioaraba Research Institute, Department of Neurociences, University of the Basque Country, CIBERSAM, Vitoria, Spain
| | - Daniel Bergé
- Department of Neurosciences and Psychiatry, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Antonio Lobo
- Department of Medicine and Psychiatry. Universidad de Zaragoza. Instituto de Investigación Aragón, CIBERSAM, Zaragoza, Spain
| | - Eduardo J Aguilar
- Department of Psychiatry, Hospital Clínico Universitario de Valencia, School of Medicine, Universidad de Valencia, CIBERSAM, Valencia, Spain
| | - Judith Usall
- Parc Sanitari Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, SantBoi de Llobregat; Fundació Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain
| | - Iluminada Corripio
- Department of Psychiatry, Biomedical Research Institute Sant Pau (IIB-SANT PAU), Santa Creu and Sant Pau Hospital; Autonomous University of Barcelona (UAB), CIBERSAM, Barcelona, Spain
| | - Julio Bobes
- Área de Psiquiatría, Universidad de Oviedo, Servicio de Salud del Principado de Asturias, Instituto de Neurociencias del Principado de Asturias (INEUROPA), CIBERSAM, Oviedo, Asturias, Spain
| | - Roberto Rodríguez-Jiménez
- Departamento de Psiquiatría, Instituto de Investigación Sanitaria Hospital 12 de Octubre (Imas12), CogPsy-Group, Universidad Complutense de Madrid (UCM), CIBERSAM, Madrid, Spain
| | - Salvador Sarró
- FIDMAG Research Foundation Germanes Hospitalàries, CIBERSAM, Barcelona, Spain
| | - Fernando Contreras
- Psychiatry Department, Bellvitge University Hospital-IDIBELL, Barcelona, Spain; Department of Clinical Sciences, School of Medicine, University of Barcelona, Barcelona, Spain
| | - Ángela Ibáñez
- Departamento de Psiquiatría, Hospital Ramon y Cajal, Universidad de Alcalá, IRYCIS, CIBERSAM, Madrid, Spain
| | - Miguel Gutiérrez
- Department of Psychiatry, Hospital Santiago Apóstol, University of the Basque Country, CIBERSAM, Vitoria, Spain
| | - Juan Antonio Micó
- Grupo de Investigación en Neuropsicofarmacología y Psicobiología, Departamento de Neurociencias, Universidad de Cádiz, Instituto de Investigación e Innovación en Ciencias Biomédicas de Cádiz, INiBICA, Hospital Universitario Puerta del Mar, CIBERSAM, Cádiz, Spain
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26
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Chan SKW, Chan HYV, Pang HH, Hui CLM, Suen YN, Chang WC, Lee EHM, Chen EYH. Ten-year trajectory and outcomes of negative symptoms of patients with first-episode schizophrenia spectrum disorders. Schizophr Res 2020; 220:85-91. [PMID: 32278539 DOI: 10.1016/j.schres.2020.03.061] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 01/26/2020] [Accepted: 03/27/2020] [Indexed: 02/06/2023]
Abstract
This study explored the 10-year trajectories and outcomes of negative symptoms in patients with first-episode schizophrenia-spectrum disorder. Patients were from the historical control study comparing 10-year outcomes between standard care and early intervention services. A total of 298 patients were identified, 214 were successfully interviewed at 10-year follow-up for clinical and functional outcomes and 209 patients were included for final analyses. Information from clinical records were obtained systematically using standardized data entry forms. These information including negative symptoms, hospitalization and employment, monthly for year 1-3 and trimonthly for the year 4-10. Hierarchical cluster analysis was used to explore the 10-year negative symptom clusters. Demographics and early clinical characteristics related to the cluster memberships and different components of negative symptom at 10-year follow-up were further explored. The cluster analysis identified three longitudinal clusters of negative symptoms and 15% of patients were in the relapsed group. There was no difference in cluster membership between the intervention groups. Male gender and duration of hospitalizations in year four were found to be significant determinants of relapse negative symptoms. Lower education level, higher year-one negative symptom score and more months of unemployment during the first 3 years predicted overall negative symptoms at 10-year follow-up. Male gender was found to be a predictor only for avolition and anhedonia and duration of untreated psychosis only predicted anhedonia. These results highlighted the heterogeneity of longitudinal outcomes and the importance of personalized interventions.
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Affiliation(s)
- Sherry Kit Wa Chan
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region; The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong Special Administrative Region.
| | - Hei Yan Veronica Chan
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Herbert H Pang
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Christy Lai Ming Hui
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Yi Nam Suen
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Wing Chung Chang
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region; The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Edwin Ho Ming Lee
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Eric Yu Hai Chen
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region; The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong Special Administrative Region
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27
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Mas S, Gassó P, Rodríguez N, Cabrera B, Mezquida G, Lobo A, González-Pinto A, Parellada M, Corripio I, Vieta E, Castro-Fornieles J, Bobes J, Usall J, Saiz-Ruiz J, Contreras F, Parellada E, Bernardo M, Bioque M, Diaz‐Caneja CM, González‐Peñas J, Solis AA, Rebella M, González‐Ortega I, Besga A, SanJuan J, Nacher J, Morro L, Montserrat C, Jimenez E, Costa SGD, Baeza I, de la Serna E, Rivas S, Diaz C, Saiz PA, Garcia‐Álvarez L, Fraile MG, Rabadán AZ, Torio I, Rodríguez‐Jimenez R, Butjosa A, Pardo M, Sarró S, Pomarol‐Clotet E, Cuadrado AI, Cuesta MJ. Personalized medicine begins with the phenotype: identifying antipsychotic response phenotypes in a first-episode psychosis cohort. Acta Psychiatr Scand 2020; 141:541-552. [PMID: 31746462 DOI: 10.1111/acps.13131] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Revised: 09/16/2019] [Accepted: 11/17/2019] [Indexed: 12/29/2022]
Abstract
AIMS Here, we present a clustering strategy to identify phenotypes of antipsychotic (AP) response by using longitudinal data from patients presenting first-episode psychosis (FEP). METHOD One hundred and ninety FEP with complete data were selected from the PEPs project. The efficacy was assessed using total PANSS, and adverse effects using total UKU, during one-year follow-up. We used the Klm3D method to cluster longitudinal data. RESULTS We identified four clusters: cluster A, drug not toxic and beneficial; cluster B, drug beneficial but toxic; cluster C, drug neither toxic nor beneficial; and cluster D, drug toxic and not beneficial. These groups significantly differ in baseline demographics, clinical, and neuropsychological characteristics (PAS, total PANSS, DUP, insight, pIQ, age of onset, cocaine use and family history of mental illness). CONCLUSIONS The results presented here allow the identification of phenotypes of AP response that differ in well-known simple and classic clinical variables opening the door to clinical prediction and application of personalized medicine.
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Affiliation(s)
- S Mas
- Pharmacology Unit, Department of Clinical Foundations, University of Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.,Institut d'investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain
| | - P Gassó
- Pharmacology Unit, Department of Clinical Foundations, University of Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.,Institut d'investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain
| | - N Rodríguez
- Fundació Clinic per la Recerca Biomédica (FCRB), Barcelona, Spain
| | - B Cabrera
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.,Barcelona Clínic Schizophrenia Unit, Neuroscience Institute Hospital Clínic de Barcelona, Barcelona, Spain
| | - G Mezquida
- Institut d'investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain.,Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Barcelona, Spain.,Fundació Clínic per la Recerca Biomèdica (FCRB), Department of Clinical Foundations, Pharmacology Unit, University of Barcelona, Barcelona, Spain
| | - A Lobo
- Department of Medicine and Psychiatry, University of Zaragoza, Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain
| | - A González-Pinto
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.,Department of Psychiatry, Hospital Universitario de Alava, Vitoria, Spain.,BIOARABA Health Research Institute, Vitoria, Spain.,University of the Basque Country, Vitoria, Spain
| | - M Parellada
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain
| | - I Corripio
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.,Servicio de Psiquiatría, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.,Instituto de Investigación Biomédica Sant Pau (IIB-SANT PAU), Barcelona, Spain.,Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - E Vieta
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.,Institut d'investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain.,Hospital Clínic de Barcelona, Barcelona, Spain.,Department of Medicine, University of Barcelona, Barcelona, Spain
| | - J Castro-Fornieles
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.,Institut d'investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain.,Department of Medicine, University of Barcelona, Barcelona, Spain.,Child and Adolescent Psychiatry and Psychology Department, 2017SGR881, Institute Clinic of Neurosciences, Hospital Clinic of Barcelona, Barcelona, Spain
| | - J Bobes
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.,Área de Psiquiatría, Hospital Universitario Central de Asturias (HUCA), Universidad de Oviedo, Asturias, Spain.,Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Asturias, Spain
| | - J Usall
- Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain.,Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain
| | - J Saiz-Ruiz
- Hospital Ramon y Cajal, Universidad de Alcala, IRYCIS, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - F Contreras
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.,Institut d'investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain.,Psychiatric Service, Bellvitge University Hospital, Hospitalet del Llobregat, Spain.,University of Barcelona, Barcelona, Spain
| | - E Parellada
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.,Institut d'investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain.,Department of Medicine, University of Barcelona, Barcelona, Spain.,Barcelona Clínic Schizophrenia Unit, Neuroscience Institute, Hospital Clínic of Barcelona, Barcelona, Spain
| | - M Bernardo
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.,Institut d'investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain.,Department of Medicine, University of Barcelona, Barcelona, Spain.,Barcelona Clínic Schizophrenia Unit, Neuroscience Institute, Hospital Clínic of Barcelona, Barcelona, Spain
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28
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Zhou YF, Huang JC, Zhang P, Fan FM, Chen S, Fan HZ, Cui YM, Luo XG, Tan SP, Wang ZR, Feng W, Yuan Y, Yang FD, Savransky A, Ryan M, Goldwaser E, Chiappelli J, Rowland LM, Kochunov P, Tan YL, Hong LE. Choroid Plexus Enlargement and Allostatic Load in Schizophrenia. Schizophr Bull 2020; 46:722-731. [PMID: 31603232 PMCID: PMC7147577 DOI: 10.1093/schbul/sbz100] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Although schizophrenia is a brain disorder, increasing evidence suggests that there may be body-wide involvement in this illness. However, direct evidence of brain structures involved in the presumed peripheral-central interaction in schizophrenia is still unclear. Seventy-nine previously treatment-naïve first-episode schizophrenia patients who were within 2-week antipsychotics initial stabilization, and 41 age- and sex-matched healthy controls were enrolled in the study. Group differences in subcortical brain regional structures measured by MRI and the subclinical cardiovascular, metabolic, immune, and neuroendocrine biomarkers as indexed by allostatic load, and their associations were explored. Compared with controls, patients with schizophrenia had significantly higher allostatic load (P = .001). Lateral ventricle (P < .001), choroid plexus (P < .001), and thalamus volumes (P < .001) were significantly larger, whereas amygdala volume (P = .001) was significantly smaller in patients. The choroid plexus alone was significantly correlated with higher allostatic load after age, sex, education level, and the total intracranial volume were taken into account (t = 3.60, P < .001). Allostatic load was also significantly correlated with PANSS positive (r = 0.28, P = .016) and negative (r = -0.31, P = .008) symptoms, but in opposite directions. The peripheral multisystemic and central nervous system abnormalities in schizophrenia may interact through the choroid plexus during the early stage of the illness. The choroid plexus might provide a sensitive structural biomarker to study the treatment and prevention of brain-periphery interaction abnormalities in schizophrenia.
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Affiliation(s)
- Yan-Fang Zhou
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, P. R. China
| | - Jun-Chao Huang
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, P. R. China
| | - Ping Zhang
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, P. R. China
| | - Feng-Mei Fan
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, P. R. China
| | - Song Chen
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, P. R. China
| | - Hong-Zhen Fan
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, P. R. China
| | - Yi-Min Cui
- Department of Pharmacy, Peking University First Hospital, Beijing, P. R. China
| | - Xing-Guang Luo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT
| | - Shu-Ping Tan
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, P. R. China
| | - Zhi-Ren Wang
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, P. R. China
| | - Wei Feng
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, P. R. China
| | - Ying Yuan
- School of Foreign Languages and Literature, Tianjin University, Tianjin, P. R. China
| | - Fu-De Yang
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, P. R. China
| | - Anya Savransky
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD
| | - Meghann Ryan
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD
| | - Eric Goldwaser
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD
| | - Joshua Chiappelli
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD
| | - Laura M Rowland
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD
| | - Peter Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD
| | - Yun-Long Tan
- Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, P. R. China,To whom correspondence should be addressed; Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, P. R. China; tel: +86-(10)-83024319, fax: +86-(10)-62710156, e-mail:
| | - L Elliot Hong
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD
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29
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Sisek-Šprem M, Gradiški IP, Žaja N, Herceg M. The longitudinal course of schizophrenia: testosterone and progression of the negative symptoms. Nord J Psychiatry 2020; 74:147-154. [PMID: 31651218 DOI: 10.1080/08039488.2019.1681509] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Background: The longitudinal course of schizophrenia shows a high level of heterogeneity with testosterone as a possible factor in the variety of clinical outcomes.Aim: Evaluation of the course of schizophrenia in male patients over an eight-year period and of the possible testosterone effects on changes in clinical features.Subjects and methods: The initial study population consisted of 120 male schizophrenic patients (aged 18-40) hospitalized in the University Psychiatric Hospital Vrapce in 2009. Patients were classified into nonaggressive (control, n = 60) and aggressive (n = 60) groups. In 2017, we reassessed 85 patients (67,5%) from the initial sample. Symptoms of schizophrenia were determined using the Positive and Negative Syndrome Scale (PANSS) and compared with the total serum testosterone level taken at the inclusion in the study. The distribution of values for individual variables was determined using the Smirnov-Kolmogorov test; for all further analyses, the appropriate non-parametric test was used.Results: The control group showed a statistically significant negative correlation between testosterone and negative PANSS. The initial PANSS scores, compared to those at the follow-up, showed a statistically significant reduction in positive and general symptoms in all groups, with the greatest reduction in the control group.Conclusion: We found a reduction in positive and general symptoms of schizophrenia among all patients and no changes in negative symptoms. Inverse correlation between testosterone and negative symptoms was found only in the control group, but there was no testosterone influence on the progression of any PANSS subscales.
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Affiliation(s)
| | | | - Nikola Žaja
- University Psychiatric Hospital Vrapče, Zagreb, Croatia
| | - Miroslav Herceg
- University Psychiatric Hospital Vrapče, Zagreb, Croatia.,School of Medicine, University of Zagreb, Zagreb, Croatia
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30
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Trajectory and early predictors of apathy development in first-episode psychosis and healthy controls: a 10-year follow-up study. Eur Arch Psychiatry Clin Neurosci 2020; 270:709-722. [PMID: 32130475 PMCID: PMC7423800 DOI: 10.1007/s00406-020-01112-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Accepted: 02/08/2020] [Indexed: 12/28/2022]
Abstract
Apathy is prevalent in first-episode psychosis (FEP) and associated with reduced global functioning. Investigations of the trajectory of apathy and its early predictors are needed to develop new treatment interventions. We here measured the levels of apathy over the first 10 years of treatment in FEP and in healthy controls (HC). We recruited 198 HC and 198 FEP participants. We measured apathy with the Apathy Evaluation Scale, self-report version, psychotic symptoms with the Positive and Negative Syndrome Scale, depression with the Calgary Depression Scale for Schizophrenia, functioning with the Global Assessment of Functioning Scale, and also estimated the duration of untreated psychosis (DUP). The longitudinal development of apathy and its predictors were explored using linear mixed models analyses. Associations to functioning at 10 years were investigated using multiple hierarchical linear regression analyses. In HC, mean apathy levels were low and stable. In FEP, apathy levels decreased significantly during the first year of treatment, followed by long-term stability. High individual levels of apathy at baseline were associated with higher apathy levels during the follow-up. Long DUP and high baseline levels of depression predicted higher apathy levels at follow-ups. The effect of DUP was persistent, while the effect of baseline depression decreased over time. At 10 years, apathy was statistically significantly associated with reduced functioning. The early phase of the disorder may be critical to the development of apathy in FEP.
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31
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Karamaouna P, Zouraraki C, Giakoumaki SG. Cognitive Functioning and Schizotypy: A Four-Years Study. Front Psychiatry 2020; 11:613015. [PMID: 33488431 PMCID: PMC7820122 DOI: 10.3389/fpsyt.2020.613015] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 12/08/2020] [Indexed: 12/02/2022] Open
Abstract
Although there is ample evidence from cross-sectional studies indicating cognitive deficits in high schizotypal individuals that resemble the cognitive profile of schizophrenia-spectrum patients, there is still lack of evidence by longitudinal/follow-up studies. The present study included assessments of schizotypal traits and a wide range of cognitive functions at two time points (baseline and 4-years assessments) in order to examine (a) their stability over time, (b) the predictive value of baseline schizotypy on cognition at follow-up and (c) differences in cognition between the two time points in high negative schizotypal and control individuals. Only high negative schizotypal individuals were compared with controls due to the limited number of participants falling in the other schizotypal groups at follow-up. Seventy participants (mean age: 36.17; 70% females) were assessed at baseline and follow-up. Schizotypal traits were evaluated with the Schizotypal Personality Questionnaire. We found that schizotypal traits decreased over time, except in a sub-group of participants ("schizotypy congruent") that includes individuals who consistently meet normative criteria of inclusion in either a schizotypal or control group. In these individuals, negative schizotypy and aspects of cognitive-perceptual and disorganized schizotypy remained stable. The stability of cognitive functioning also varied over time: response inhibition, aspects of cued attention switching, set-shifting and phonemic/semantic verbal fluency improved at follow-up. High negative schizotypy at baseline predicted poorer response inhibition and semantic switching at follow-up while high disorganized schizotypy predicted poorer semantic processing and complex processing speed/set-shifting. The between-group analyses revealed that response inhibition, set-shifting and complex processing speed/set-shifting were poorer in negative schizotypals compared with controls at both time points, while maintaining set and semantic switching were poorer only at follow-up. Taken together, the findings show differential stability of the schizotypal traits over time and indicate that different aspects of schizotypy predict a different pattern of neuropsychological task performance during a 4-years time window. These results are of significant use in the formulation of targeted early-intervention strategies for high-risk populations.
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Affiliation(s)
- Penny Karamaouna
- Laboratory of Neuropsychology, Department of Psychology, Faculty of Social Sciences, University of Crete, Rethymno, Greece.,University of Crete Research Center for the Humanities, The Social and Educational Sciences (UCRC), University of Crete, Rethymno, Greece
| | - Chrysoula Zouraraki
- Laboratory of Neuropsychology, Department of Psychology, Faculty of Social Sciences, University of Crete, Rethymno, Greece.,University of Crete Research Center for the Humanities, The Social and Educational Sciences (UCRC), University of Crete, Rethymno, Greece
| | - Stella G Giakoumaki
- Laboratory of Neuropsychology, Department of Psychology, Faculty of Social Sciences, University of Crete, Rethymno, Greece.,University of Crete Research Center for the Humanities, The Social and Educational Sciences (UCRC), University of Crete, Rethymno, Greece
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32
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Executive dysfunctions differentially predict amotivation in first-episode schizophrenia-spectrum disorder: a prospective 1-year follow-up study. Eur Arch Psychiatry Clin Neurosci 2019; 269:887-896. [PMID: 29934845 DOI: 10.1007/s00406-018-0918-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 06/18/2018] [Indexed: 10/28/2022]
Abstract
Amotivation is a major determinant of functional outcome in schizophrenia but it is understudied in the early course of illness. There is a paucity of longitudinal research investigating predictors of amotivation. In this study, we aimed to examine baseline cognitive and clinical predictors of amotivation at 6 and 12 months of follow-up in patients aged 18-55 years presenting with first-episode DSM-IV schizophrenia-spectrum disorder (FES). Of 145 patients recruited at intake, 116 and 113 completed assessments at 6- and 12-month follow-up, respectively. Amotivation was measured by avolition-apathy and anhedonia-asociality subscale scores of the Scale of the Assessment of Negative Symptoms. Cognitive assessment was administered at baseline. As executive dysfunction has been more consistently found to be associated with negative symptoms and amotivation in prior literature, we adopted fractionated approach to subdivide executive function into distinct components encompassing switching and flexibility, response initiation, response inhibition, planning and strategy allocation, sustained attention and working memory. Our results showed that baseline amotivation (p = 0.01) and switching and flexibility (p = 0.01) were found to independently predict amotivation at 6 months follow-up. Baseline amotivation (p < 0.01) and switching and flexibility (albeit with trend-wise significance, p = 0.06) were also retained in final multivariate regression model for 12-month amotivation prediction. No other executive components or cognitive domains predicted amotivation at follow-up. Findings of our study thus indicate amotivation at initial presentation as a critical determinant of subsequent motivational deficits over 1 year of treatment for FES patients. Cognitive flexibility might be specifically related to the development of amotivation in the early stage of illness.
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33
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Rodrigues-Amorim D, Rivera-Baltanás T, Vallejo-Curto MDC, Rodriguez-Jamardo C, de las Heras E, Barreiro-Villar C, Blanco-Formoso M, Fernández-Palleiro P, Álvarez-Ariza M, López M, García-Caballero A, Olivares JM, Spuch C. Proteomics in Schizophrenia: A Gateway to Discover Potential Biomarkers of Psychoneuroimmune Pathways. Front Psychiatry 2019; 10:885. [PMID: 31849731 PMCID: PMC6897280 DOI: 10.3389/fpsyt.2019.00885] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2019] [Accepted: 11/11/2019] [Indexed: 12/17/2022] Open
Abstract
Schizophrenia is a severe and disabling psychiatric disorder with a complex and multifactorial etiology. The lack of consensus regarding the multifaceted dysfunction of this ailment has increased the need to explore new research lines. This research makes use of proteomics data to discover possible analytes associated with psychoneuroimmune signaling pathways in schizophrenia. Thus, we analyze plasma of 45 patients [10 patients with first-episode schizophrenia (FES) and 35 patients with chronic schizophrenia] and 43 healthy subjects by label-free liquid chromatography-tandem mass spectrometry. The analysis revealed a significant reduction in the levels of glia maturation factor beta (GMF-β), the brain-derived neurotrophic factor (BDNF), and the 115-kDa isoform of the Rab3 GTPase-activating protein catalytic subunit (RAB3GAP1) in patients with schizophrenia as compared to healthy volunteers. In conclusion, GMF-β, BDNF, and 115-kDa isoform of RAB3GAP1 showed significantly reduced levels in plasma of patients with schizophrenia, thus making them potential biomarkers in schizophrenia.
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Affiliation(s)
- Daniela Rodrigues-Amorim
- Translational Neuroscience Research Group, Galicia Sur Health Research Institute, University of Vigo, CIBERSAM, Vigo, Spain
| | - Tania Rivera-Baltanás
- Translational Neuroscience Research Group, Galicia Sur Health Research Institute, University of Vigo, CIBERSAM, Vigo, Spain
| | - María del Carmen Vallejo-Curto
- Translational Neuroscience Research Group, Galicia Sur Health Research Institute, University of Vigo, CIBERSAM, Vigo, Spain
| | - Cynthia Rodriguez-Jamardo
- Translational Neuroscience Research Group, Galicia Sur Health Research Institute, University of Vigo, CIBERSAM, Vigo, Spain
| | - Elena de las Heras
- Translational Neuroscience Research Group, Galicia Sur Health Research Institute, University of Vigo, CIBERSAM, Vigo, Spain
| | - Carolina Barreiro-Villar
- Translational Neuroscience Research Group, Galicia Sur Health Research Institute, University of Vigo, CIBERSAM, Vigo, Spain
| | - María Blanco-Formoso
- Translational Neuroscience Research Group, Galicia Sur Health Research Institute, University of Vigo, CIBERSAM, Vigo, Spain
| | - Patricia Fernández-Palleiro
- Translational Neuroscience Research Group, Galicia Sur Health Research Institute, University of Vigo, CIBERSAM, Vigo, Spain
| | - María Álvarez-Ariza
- Translational Neuroscience Research Group, Galicia Sur Health Research Institute, University of Vigo, CIBERSAM, Vigo, Spain
| | - Marta López
- Translational Neuroscience Research Group, Galicia Sur Health Research Institute, University of Vigo, CIBERSAM, Vigo, Spain
| | - Alejandro García-Caballero
- Translational Neuroscience Research Group, Galicia Sur Health Research Institute, University of Vigo, CIBERSAM, Vigo, Spain
- Department of Psychiatry, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - José Manuel Olivares
- Translational Neuroscience Research Group, Galicia Sur Health Research Institute, University of Vigo, CIBERSAM, Vigo, Spain
| | - Carlos Spuch
- Translational Neuroscience Research Group, Galicia Sur Health Research Institute, University of Vigo, CIBERSAM, Vigo, Spain
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34
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Rodríguez-Testal JF, Perona-Garcelán S, Dollfus S, Valdés-Díaz M, García-Martínez J, Ruíz-Veguilla M, Senín-Calderón C. Spanish validation of the self-evaluation of negative symptoms scale SNS in an adolescent population. BMC Psychiatry 2019; 19:327. [PMID: 31664965 PMCID: PMC6819523 DOI: 10.1186/s12888-019-2314-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Accepted: 10/09/2019] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Negative symptoms (NS) may be observed in the general population in an attenuated form and in high-risk mental states. However, they have been less studied in the general population than positive symptoms, in spite of their importance at the insidious onset of schizophrenia and their appearance before positive symptoms. This study aimed to analyze the empirical structure of the Spanish version of the Self-Evaluation of Negative Symptoms (SNS) Scale and find its psychometric properties and invariance of measurement across sex and age in a sample of adolescents. METHODS The sample consisted of 4521 adolescents (53.6% female) from 11 to 18 years of age. RESULTS Confirmatory Factor Analysis of the SNS confirmed an internal structure of five first-order factors by the characteristic dimensions of NS: avolition, social withdrawal, diminished emotional range, anhedonia, alogia, and one second-order factor which includes the total NS score. Multi-group confirmatory factor analysis showed that the scale was invariant across sex and age. Total scale reliability was adequate. A strong relationship was found between the SNS with depressive symptomatology, moderate with ideas of reference and low with aberrant salience. CONCLUSION The results back use of the Spanish version of the SNS scale for detection of NS in the general population of adolescents.
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Affiliation(s)
- Juan F. Rodríguez-Testal
- Personality, Evaluation and Psychological Treatment Department, University of Seville, Seville, Spain. Av. Camilo José Cela, 41018 Seville, SN Spain
| | - Salvador Perona-Garcelán
- Virgen del Rocío Outpatient Mental Hospital, University Hospital Virgen del Rocío, Avenue Manuel Siurot, 41013 Seville, SN Spain
| | - Sonia Dollfus
- CHU de Caen, Service universitaire de Psychiatrie, Centre Esquirol, Avenue Côte de Nacre, F-14000 Caen, France
- UNICAEN, UFR Médecine, F-14074 Caen, France
| | - María Valdés-Díaz
- Department of Psychology, University of Cadiz, Avenue República Árabe Saharaui SN. 11510 Puerto Real, Cádiz, Spain
| | - Jesús García-Martínez
- Department of Psychology, University of Cadiz, Avenue República Árabe Saharaui SN. 11510 Puerto Real, Cádiz, Spain
| | - Miguel Ruíz-Veguilla
- Virgen del Rocío Outpatient Mental Hospital, University Hospital Virgen del Rocío, Avenue Manuel Siurot, 41013 Seville, SN Spain
| | - Cristina Senín-Calderón
- Department of Psychology, University of Cadiz, Avenue República Árabe Saharaui SN. 11510 Puerto Real, Cádiz, Spain
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Bernardo M, Cabrera B, Arango C, Bioque M, Castro-Fornieles J, Cuesta MJ, Lafuente A, Parellada M, Saiz-Ruiz J, Vieta E. One decade of the first episodes project (PEPs): Advancing towards a precision psychiatry. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2019; 12:135-140. [PMID: 31103407 DOI: 10.1016/j.rpsm.2019.03.001] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Accepted: 03/22/2019] [Indexed: 12/24/2022]
Affiliation(s)
- Miquel Bernardo
- Barcelona Clínic Schizophrenia Unit, Institut Clínic de Neurociències, Hospital Clínic de Barcelona, Barcelona, España; Departamento de Medicina, Universitat de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, España; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España.
| | - Bibiana Cabrera
- Barcelona Clínic Schizophrenia Unit, Institut Clínic de Neurociències, Hospital Clínic de Barcelona, Barcelona, España; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España
| | - Celso Arango
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Servicio de Psiquiatría del Niño y del Adolescente, Hospital General Universitario Gregorio Marañón (IiSGM), Facultad de Medicina, Universidad Complutense, CIBERSAM, Madrid, España
| | - Miquel Bioque
- Barcelona Clínic Schizophrenia Unit, Institut Clínic de Neurociències, Hospital Clínic de Barcelona, Barcelona, España; Departamento de Medicina, Universitat de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, España; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España
| | - Josefina Castro-Fornieles
- Departamento de Medicina, Universitat de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, España; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Servicio de Psiquiatría y Psicología Infantil y Juvenil, Institut Clínic de Neurociències, Hospital Clínic de Barcelona, Barcelona, España
| | - Manuel Jesús Cuesta
- Departamento de Psiquiatría, Complejo Hospitalario de Navarra, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Navarra, España
| | - Amalia Lafuente
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Departamento de Fundamentos Clínicos, Unidad de Farmacología, Universitat de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, España
| | - Mara Parellada
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Servicio de Psiquiatría del Niño y del Adolescente, Hospital General Universitario Gregorio Marañón (IiSGM), Facultad de Medicina, Universidad Complutense, CIBERSAM, Madrid, España
| | - Jerónimo Saiz-Ruiz
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Universidad de Alcalá, Hospital Ramón y Cajal, CIBERSAM, IRyCIS, Madrid, España
| | - Eduard Vieta
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, España; Servicio de Psiquiatría y Psicología, Hospital Clínic, Universitat de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, España
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36
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Longitudinal studies of functional magnetic resonance imaging in first-episode psychosis: A systematic review. Eur Psychiatry 2019; 59:60-69. [PMID: 31075523 DOI: 10.1016/j.eurpsy.2019.04.009] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Revised: 04/27/2019] [Accepted: 04/28/2019] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Little is known about changes in brain functioning after first-episode psychosis (FEP). Such knowledge is important for predicting the course of disease and adapting interventions. Functional magnetic resonance imaging has become a promising tool for exploring brain function at the time of symptom onset and at follow-up. METHOD A systematic review of longitudinal fMRI studies with FEP patients according to PRISMA guidelines. Resting-state and task-activated studies were considered together. RESULTS Eleven studies were included. These reported on a total of 236 FEP patients were evaluated by two fMRI scans and clinical assessments. Five studies found hypoactivation at baseline in prefrontal cortex areas, two studies found hypoactivation in the amygdala and hippocampus, and three others found hypoactivation in the basal ganglia. Other hypoactivated areas were the anterior cingulate cortex, thalamus and posterior cingulate cortex. Ten out of eleven studies reported (partial) normalization by increased activation after antipsychotic treatment. A minority of studies observed hyperactivation at baseline. CONCLUSIONS This review of longitudinal FEP samples studies reveals a pattern of predominantly hypoactivation in several brain areas at baseline that may normalize to a certain extent after treatment. The results should be interpreted with caution given the small number of studies and their methodological and clinical heterogeneity.
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Amoretti S, Cabrera B, Torrent C, Bonnín CDM, Mezquida G, Garriga M, Jiménez E, Martínez-Arán A, Solé B, Reinares M, Varo C, Penadés R, Grande I, Salagre E, Parellada E, Bioque M, Garcia-Rizo C, Meseguer A, Anmella G, Rosa AR, Contreras F, Safont G, Vieta E, Bernardo M. Cognitive Reserve Assessment Scale in Health (CRASH): Its Validity and Reliability. J Clin Med 2019; 8:E586. [PMID: 31035381 PMCID: PMC6572583 DOI: 10.3390/jcm8050586] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 04/18/2019] [Accepted: 04/25/2019] [Indexed: 02/03/2023] Open
Abstract
(1) Background: The cognitive reserve (CR) concept has not been precisely defined in severe mental disorders and has been estimated using heterogeneous methods. This study aims to investigate and develop the psychometric properties of the Cognitive Reserve Assessment Scale in Health (CRASH), an instrument designed to measure CR in people with severe mental illness; (2) Methods: 100 patients with severe mental illness (non-affective psychoses and affective disorders) and 66 healthy controls were included. The internal consistency and convergent validity of CRASH were assessed. Spearman's correlations coefficients were also performed to examine the relationship between CRASH and neuropsychological tests, psychosocial functioning, and clinical course; (3) Results: The internal consistency was high (Cronbach's alpha coefficient = 0.903). The CRASH global score had a large positive correlation with the Cognitive reserve questionnaire total score (r = 0.838, p < 0.001), demonstrating good convergent validity. The correlation coefficients between the CRASH total scores and clinical, functional, and neuropsychological performance were different between groups. In order to provide clinical interpretation, severity classification based on diagnosis (non-affective psychotic disorders, affective disorders, and healthy controls) have been created; (4) Conclusions: CRASH is the first CR measure developed specifically for patients with severe mental illness, facilitating reliable and valid measurement of this construct. The scale may aid in the stratification of patients and the implementation of personalized interventions.
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Affiliation(s)
- Silvia Amoretti
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, 08036 Barcelona, Spain.
- Biomedical Research Networking Center for Mental Health (CIBERSAM), 28029 Madrid, Spain.
- University of Barcelona, 08036 Barcelona, Spain.
| | - Bibiana Cabrera
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, 08036 Barcelona, Spain.
- Biomedical Research Networking Center for Mental Health (CIBERSAM), 28029 Madrid, Spain.
- University of Barcelona, 08036 Barcelona, Spain.
| | - Carla Torrent
- Biomedical Research Networking Center for Mental Health (CIBERSAM), 28029 Madrid, Spain.
- University of Barcelona, 08036 Barcelona, Spain.
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), 08036 Barcelona, Spain.
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, 08036 Barcelona, Spain.
| | - Caterina Del Mar Bonnín
- Biomedical Research Networking Center for Mental Health (CIBERSAM), 28029 Madrid, Spain.
- University of Barcelona, 08036 Barcelona, Spain.
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), 08036 Barcelona, Spain.
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, 08036 Barcelona, Spain.
| | - Gisela Mezquida
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, 08036 Barcelona, Spain.
- Biomedical Research Networking Center for Mental Health (CIBERSAM), 28029 Madrid, Spain.
- University of Barcelona, 08036 Barcelona, Spain.
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), 08036 Barcelona, Spain.
| | - Marina Garriga
- Biomedical Research Networking Center for Mental Health (CIBERSAM), 28029 Madrid, Spain.
- University of Barcelona, 08036 Barcelona, Spain.
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), 08036 Barcelona, Spain.
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, 08036 Barcelona, Spain.
| | - Esther Jiménez
- Biomedical Research Networking Center for Mental Health (CIBERSAM), 28029 Madrid, Spain.
- University of Barcelona, 08036 Barcelona, Spain.
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), 08036 Barcelona, Spain.
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, 08036 Barcelona, Spain.
| | - Anabel Martínez-Arán
- Biomedical Research Networking Center for Mental Health (CIBERSAM), 28029 Madrid, Spain.
- University of Barcelona, 08036 Barcelona, Spain.
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), 08036 Barcelona, Spain.
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, 08036 Barcelona, Spain.
| | - Brisa Solé
- Biomedical Research Networking Center for Mental Health (CIBERSAM), 28029 Madrid, Spain.
- University of Barcelona, 08036 Barcelona, Spain.
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), 08036 Barcelona, Spain.
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, 08036 Barcelona, Spain.
| | - Maria Reinares
- Biomedical Research Networking Center for Mental Health (CIBERSAM), 28029 Madrid, Spain.
- University of Barcelona, 08036 Barcelona, Spain.
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), 08036 Barcelona, Spain.
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, 08036 Barcelona, Spain.
| | - Cristina Varo
- Biomedical Research Networking Center for Mental Health (CIBERSAM), 28029 Madrid, Spain.
- University of Barcelona, 08036 Barcelona, Spain.
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), 08036 Barcelona, Spain.
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, 08036 Barcelona, Spain.
| | - Rafael Penadés
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, 08036 Barcelona, Spain.
- Biomedical Research Networking Center for Mental Health (CIBERSAM), 28029 Madrid, Spain.
- University of Barcelona, 08036 Barcelona, Spain.
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), 08036 Barcelona, Spain.
| | - Iria Grande
- Biomedical Research Networking Center for Mental Health (CIBERSAM), 28029 Madrid, Spain.
- University of Barcelona, 08036 Barcelona, Spain.
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), 08036 Barcelona, Spain.
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, 08036 Barcelona, Spain.
| | - Estela Salagre
- Biomedical Research Networking Center for Mental Health (CIBERSAM), 28029 Madrid, Spain.
- University of Barcelona, 08036 Barcelona, Spain.
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), 08036 Barcelona, Spain.
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, 08036 Barcelona, Spain.
| | - Eduard Parellada
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, 08036 Barcelona, Spain.
- Biomedical Research Networking Center for Mental Health (CIBERSAM), 28029 Madrid, Spain.
- University of Barcelona, 08036 Barcelona, Spain.
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), 08036 Barcelona, Spain.
| | - Miquel Bioque
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, 08036 Barcelona, Spain.
- Biomedical Research Networking Center for Mental Health (CIBERSAM), 28029 Madrid, Spain.
- University of Barcelona, 08036 Barcelona, Spain.
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), 08036 Barcelona, Spain.
| | - Clemente Garcia-Rizo
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, 08036 Barcelona, Spain.
- Biomedical Research Networking Center for Mental Health (CIBERSAM), 28029 Madrid, Spain.
- University of Barcelona, 08036 Barcelona, Spain.
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), 08036 Barcelona, Spain.
| | - Ana Meseguer
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, 08036 Barcelona, Spain.
- Biomedical Research Networking Center for Mental Health (CIBERSAM), 28029 Madrid, Spain.
| | - Gerard Anmella
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, 08036 Barcelona, Spain.
- University of Barcelona, 08036 Barcelona, Spain.
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, 08036 Barcelona, Spain.
| | - Adriane R Rosa
- Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre 90035-003, Brazil.
- Postgraduate Program: Psychiatry and Behavioral Science, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre 90040-060, Brazil.
- Department of Pharmacology and Postgraduate Program: Pharmacology and Therapeutics, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre 90040-060, Brazil.
| | - Fernando Contreras
- Biomedical Research Networking Center for Mental Health (CIBERSAM), 28029 Madrid, Spain.
- Psychiatry Department, Bellvitge University Hospital-IDIBELL, 08907 L'Hospitalet de Llobregat, Spain.
| | - Gemma Safont
- Biomedical Research Networking Center for Mental Health (CIBERSAM), 28029 Madrid, Spain.
- University of Barcelona, 08036 Barcelona, Spain.
- Hospital Universitari Mutua Terrassa, 08221 Terrassa, Spain.
| | - Eduard Vieta
- Biomedical Research Networking Center for Mental Health (CIBERSAM), 28029 Madrid, Spain.
- University of Barcelona, 08036 Barcelona, Spain.
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), 08036 Barcelona, Spain.
- Bipolar and Depressive Disorders Unit, Institute of Neurosciences, 08036 Barcelona, Spain.
| | - Miquel Bernardo
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, 08036 Barcelona, Spain.
- Biomedical Research Networking Center for Mental Health (CIBERSAM), 28029 Madrid, Spain.
- University of Barcelona, 08036 Barcelona, Spain.
- August Pi I Sunyer Biomedical Research Institute (IDIBAPS), 08036 Barcelona, Spain.
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Chang WC, Ho RWH, Tang JYM, Wong CSM, Hui CLM, Chan SKW, Lee EMH, Suen YN, Chen EYH. Early-Stage Negative Symptom Trajectories and Relationships With 13-Year Outcomes in First-Episode Nonaffective Psychosis. Schizophr Bull 2019; 45:610-619. [PMID: 30124959 PMCID: PMC6483573 DOI: 10.1093/schbul/sby115] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Negative symptoms are a key treatment target in early psychosis intervention. There is a paucity of research examining longitudinal course of negative symptoms across the initial years of treatment for first-episode psychosis using individual-based trajectory analysis. No study has been conducted investigating differential relationships of early-stage negative symptom trajectories with long-term distal outcomes. This study examined patterns and baseline predictors of negative symptom trajectories over the first 3 years of treatment in 138 patients aged 18-55 years presenting with first-episode nonaffective psychosis, using latent class growth analysis based on symptom ratings measured at 4 different time points (baseline, 1, 2, and 3 years). We further explored prospective relationships of identified trajectory classes with functional and negative symptom outcomes at 13-year follow-up. Our results revealed 3 distinct negative symptom trajectories including minimal-stable (59.6%), mild-stable (29.4%), and high-increasing (11.0%) trajectories. Poorer premorbid adjustment, more severe global cognitive impairment, and depressive symptoms at baseline were found to predict high-increasing trajectory. Among 3 trajectory classes, patients in high-increasing trajectory had the worst functional and negative symptom outcomes at 13-year follow-up, with post hoc analyses demonstrating significant outcome differences between high-increasing and minimal-stable trajectories. Our findings thus affirm a heterogeneous course of negative symptoms in first-episode psychosis and indicate that early-stage negative symptom trajectories are critically associated with long-term outcomes. Patients displaying persistently high negative symptom levels in the initial 3 years of treatment may represent a specific subgroup who necessitates an extended period of early intervention specifically targeting at negative symptoms to promote early functional recovery.
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Affiliation(s)
- Wing Chung Chang
- Department of Psychiatry, University of Hong Kong, Queen Mary Hospital, Pokfulam, Hong Kong, China,State Key Laboratory of Brain and Cognitive Sciences, University of Hong Kong, Pokfulam, Hong Kong, China,To whom correspondence should be addressed; Department of Psychiatry, University of Hong Kong, Queen Mary Hospital, Pokfulam, Hong Kong; tel: 852-2255-4486, fax: 852-2855-1345, e-mail:
| | - Ryan Wui Hang Ho
- Department of Psychiatry, University of Hong Kong, Queen Mary Hospital, Pokfulam, Hong Kong, China
| | | | - Corine Sau Man Wong
- Department of Psychiatry, University of Hong Kong, Queen Mary Hospital, Pokfulam, Hong Kong, China
| | - Christy Lai Ming Hui
- Department of Psychiatry, University of Hong Kong, Queen Mary Hospital, Pokfulam, Hong Kong, China
| | - Sherry K W Chan
- Department of Psychiatry, University of Hong Kong, Queen Mary Hospital, Pokfulam, Hong Kong, China,State Key Laboratory of Brain and Cognitive Sciences, University of Hong Kong, Pokfulam, Hong Kong, China
| | - Edwin M H Lee
- Department of Psychiatry, University of Hong Kong, Queen Mary Hospital, Pokfulam, Hong Kong, China
| | - Yi Nam Suen
- Department of Psychiatry, University of Hong Kong, Queen Mary Hospital, Pokfulam, Hong Kong, China
| | - Eric Y H Chen
- Department of Psychiatry, University of Hong Kong, Queen Mary Hospital, Pokfulam, Hong Kong, China,State Key Laboratory of Brain and Cognitive Sciences, University of Hong Kong, Pokfulam, Hong Kong, China
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Ventura J, Subotnik KL, Gretchen-Doorly D, Casaus L, Boucher M, Hellemann GH, Nuechterlein KH, Hellemann GS, Nuechterlein KH. Cognitive remediation can improve negative symptoms and social functioning in first-episode schizophrenia: A randomized controlled trial. Schizophr Res 2019; 203:24-31. [PMID: 29128326 PMCID: PMC6589092 DOI: 10.1016/j.schres.2017.10.005] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2017] [Revised: 10/04/2017] [Accepted: 10/06/2017] [Indexed: 02/07/2023]
Abstract
BACKGROUND Meta-analyses have reported that the effects of cognitive remediation might go beyond improvement in cognition to include unexpected benefits for schizophrenia patients such as negative symptom reduction and improvements in functioning. In addition, some evidence indicated that these potentially beneficial effects are also present in the initial course of schizophrenia, but work in this area is still developing. METHOD A RCT compared Cognitive Remediation (CR) to Healthy Behaviors Training (HBT) in 80 patients (78% male) with a mean age of 21.9years and mean education of 12.3years who had a first psychotic episode within two years of study entry. Participants were trained using CR programs or received HBT involving 50 sessions over 6months and then booster sessions over the next 6months. The SANS and BPRS were used to assess symptoms. The UCLA Social Attainment Survey assessed social functioning. RESULTS Using GLMM, improvements over 12months were found favoring CR for SANS Expressive Symptoms (p<0.01), which was composed of Affective Flattening (p<0.01) and Alogia (p=0.04), and for SANS Experiential Symptoms, composed of Avolition/Apathy (p=0.04) and Anhedonia/Asociality (p<0.01). CR was associated with improvements in social functioning (p=0.05) as compared to HBT. CONCLUSIONS We confirmed that the beneficial effects of CR appear to extend beyond cognition to improvements in negative symptoms and social functioning in early course schizophrenia patients. These results suggest that cognitive remediation might have an impact when the reduction of risk factors for chronicity is most critical for promoting recovery.
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Affiliation(s)
- Joseph Ventura
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, United States.
| | - Kenneth L. Subotnik
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Denise Gretchen-Doorly
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Laurie Casaus
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Michael Boucher
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Gerhard H. Hellemann
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Keith H. Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles,Department of Psychology, University of California, Los Angeles
| | - Gerhard S Hellemann
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, United States
| | - Keith H Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, United States; Department of Psychology, University of California, Los Angeles, United States
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40
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Amoretti S, Cabrera B, Torrent C, Mezquida G, Lobo A, González-Pinto A, Parellada M, Corripio I, Vieta E, de la Serna E, Butjosa A, Contreras F, Sarró S, Penadés R, Sánchez-Torres AM, Cuesta M, Bernardo M. Cognitive reserve as an outcome predictor: first-episode affective versus non-affective psychosis. Acta Psychiatr Scand 2018; 138:441-455. [PMID: 30105820 DOI: 10.1111/acps.12949] [Citation(s) in RCA: 60] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/25/2018] [Indexed: 02/06/2023]
Abstract
OBJECTIVE Cognitive reserve (CR) refers to the brain's capacity to cope with pathology in order to minimize the symptoms. CR is associated with different outcomes in severe mental illness. This study aimed to analyze the impact of CR according to the diagnosis of first-episode affective or non-affective psychosis (FEP). METHOD A total of 247 FEP patients (211 non-affective and 36 affective) and 205 healthy controls were enrolled. To assess CR, common proxies have been integrated (premorbid IQ; education-occupation; leisure activities). The groups were divided into high and low CR. RESULTS In non-affective patients, those with high CR were older, had higher socioeconomic status (SES), shorter duration of untreated psychosis, and a later age of onset. They also showed greater performance in most cognitive domains. In affective patients, those with a greater CR showed a higher SES, better functioning, and greater verbal memory performance. CONCLUSION CR plays a differential role in the outcome of psychoses according to the diagnosis. Specifically, in order to address the needs of non-affective patients with low CR, cognitive rehabilitation treatments will need to be 'enriched' by adding pro-cognitive pharmacological agents or using more sophisticated approaches. However, a functional remediation therapy may be of choice for those with an affective psychosis and low CR.
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Affiliation(s)
- S Amoretti
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, University of Barcelona, Barcelona, Spain.,Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
| | - B Cabrera
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, University of Barcelona, Barcelona, Spain.,Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
| | - C Torrent
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain.,August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.,Barcelona Bipolar Disorders Program, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - G Mezquida
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, University of Barcelona, Barcelona, Spain.,Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
| | - A 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
| | - A González-Pinto
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain.,Araba University Hospital, Bioaraba Research Institute, Vitoria, Spain.,University of the Basque Country (UPV-EHU), Vitoria, Spain
| | - M Parellada
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain.,Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, Madrid, Spain
| | - I Corripio
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain.,Department of Psychiatry, Institut d'Investigació Biomèdica-Sant Pau (IIB-SANT PAU), Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - E Vieta
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain.,August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.,Barcelona Bipolar Disorders Program, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - E de la Serna
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain.,Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic of Barcelona, Barcelona, Spain
| | - A Butjosa
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain.,Parc Sanitari Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, SantBoi de Llobregat, Barcelona, Spain.,Fundació Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain
| | - F Contreras
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain.,Psychiatry Department, Bellvitge University Hospital-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - S Sarró
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain.,FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain.,Neuroscience Research Australia, Sydney, NSW, Australia.,School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia.,ARC Centre of Excellence in Cognition and its Disorders, Sydney, NSW, Australia
| | - R Penadés
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, University of Barcelona, Barcelona, Spain.,Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain.,August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - A M Sánchez-Torres
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain.,IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - M Cuesta
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain.,IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - M Bernardo
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, University of 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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Deakin B, Suckling J, Barnes TRE, Byrne K, Chaudhry IB, Dazzan P, Drake RJ, Giordano A, Husain N, Jones PB, Joyce E, Knox E, Krynicki C, Lawrie SM, Lewis S, Lisiecka-Ford DM, Nikkheslat N, Pariante CM, Smallman R, Watson A, Williams SCR, Upthegrove R, Dunn G. The benefit of minocycline on negative symptoms of schizophrenia in patients with recent-onset psychosis (BeneMin): a randomised, double-blind, placebo-controlled trial. Lancet Psychiatry 2018; 5:885-894. [PMID: 30322824 PMCID: PMC6206257 DOI: 10.1016/s2215-0366(18)30345-6] [Citation(s) in RCA: 121] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 08/31/2018] [Accepted: 09/03/2018] [Indexed: 12/13/2022]
Abstract
BACKGROUND The antibiotic minocycline has neuroprotective and anti-inflammatory properties that could prevent or reverse progressive neuropathic changes implicated in recent-onset schizophrenia. In the BeneMin study, we aimed to replicate the benefit of minocycline on negative symptoms reported in previous pilot studies, and to understand the mechanisms involved. METHODS In this randomised, double-blind, placebo-controlled trial, we recruited people with a schizophrenia-spectrum disorder that had begun within the past 5 years with continuing positive symptoms from 12 National Health Service (NHS) trusts. Participants were randomly assigned according to an automated permuted blocks algorithm, stratified by pharmacy, to receive minocycline (200 mg per day for 2 weeks, then 300 mg per day for the remainder of the 12-month study period) or matching placebo, which were added to their continuing treatment. The primary clinical outcome was the negative symptom subscale score of the Positive and Negative Syndrome Scales (PANSS) across follow-ups at months 2, 6, 9, and 12. The primary biomarker outcomes were medial prefrontal grey-matter volume, dorsolateral prefrontal cortex activation during a working memory task, and plasma concentration of interleukin 6. This study is registered as an International Standard Randomised Controlled Trial, number ISRCTN49141214, and the EU Clinical Trials register (EudraCT) number is 2010-022463-35I. FINDINGS Between April 16, 2013, and April 30, 2015, we recruited 207 people and randomly assigned them to receive minocycline (n=104) or placebo (n=103). Compared with placebo, the addition of minocycline had no effect on ratings of negative symptoms (treatment effect difference -0·19, 95% CI -1·23 to 0·85; p=0·73). The primary biomarker outcomes did not change over time and were not affected by minocycline. The groups did not differ in the rate of serious adverse events (n=11 in placebo group and n=18 in the minocycline group), which were mostly due to admissions for worsening psychiatric state (n=10 in the placebo group and n=15 in the minocycline group). The most common adverse events were gastrointestinal (n=12 in the placebo group, n=19 in the minocycline group), psychiatric (n=16 in placebo group, n=8 in minocycline group), nervous system (n=8 in the placebo group, n=12 in the minocycline group), and dermatological (n=10 in the placebo group, n=8 in the minocycline group). INTERPRETATION Minocycline does not benefit negative or other symptoms of schizophrenia over and above adherence to routine clinical care in first-episode psychosis. There was no evidence of a persistent progressive neuropathic or inflammatory process underpinning negative symptoms. Further trials of minocycline in early psychosis are not warranted until there is clear evidence of an inflammatory process, such as microgliosis, against which minocycline has known efficacy. FUNDING National Institute for Health Research Efficacy and Mechanism Evaluation (EME) programme, an MRC and NIHR partnership.
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Affiliation(s)
- Bill Deakin
- Neuroscience and Psychiatry Unit, The University of Manchester, Manchester, UK; MAHSC, The University of Manchester, Manchester, UK; Greater Manchester Mental Health NHS Foundation Trust, Prestwich, Manchester, UK.
| | - John Suckling
- Brain Mapping Unit, Department of Psychiatry, Herchel Smith Building for Brain and Mind Sciences, University of Cambridge, Cambridge, UK; Cambridgeshire & Peterborough NHS Foundation Trust, Cambridge, UK
| | | | - Kelly Byrne
- Neuroscience and Psychiatry Unit, The University of Manchester, Manchester, UK; Tropical Clinical Trials Unit, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Imran B Chaudhry
- Division of Neuroscience and Experimental Psychology, The University of Manchester, Manchester, UK; Lancashire Care Early Intervention Service, Accrington, UK
| | - Paola Dazzan
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Richard J Drake
- Division of Psychology and Mental Health, The University of Manchester, Manchester, UK; Greater Manchester Mental Health NHS Foundation Trust, Prestwich, Manchester, UK
| | - Annalisa Giordano
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Nusrat Husain
- Division of Psychology and Mental Health, The University of Manchester, Manchester, UK
| | - Peter B Jones
- Brain Mapping Unit, Department of Psychiatry, Herchel Smith Building for Brain and Mind Sciences, University of Cambridge, Cambridge, UK; Cambridgeshire & Peterborough NHS Foundation Trust, Cambridge, UK
| | - Eileen Joyce
- Sobell Department of Motor Neurosciences and Movement Disorders, UCL Institute of Neurology, London, UK
| | - Emma Knox
- Neuroscience and Psychiatry Unit, The University of Manchester, Manchester, UK; Institute for Applied Clinical Sciences, Keele University, Guy Hilton Research Centre, Stoke-on-Trent, UK
| | - Carl Krynicki
- Institute for Mental Health, University of Birmingham, Birmingham, UK
| | - Stephen M Lawrie
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Shôn Lewis
- MAHSC, The University of Manchester, Manchester, UK; Greater Manchester Mental Health NHS Foundation Trust, Prestwich, Manchester, UK
| | - Danuta M Lisiecka-Ford
- Neurology Unit, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Naghmeh Nikkheslat
- Stress, Psychiatry and Immunology Lab & Perinatal Psychiatry, The Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK
| | - Carmine M Pariante
- Stress, Psychiatry and Immunology Lab & Perinatal Psychiatry, The Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK
| | - Richard Smallman
- Neuroscience and Psychiatry Unit, The University of Manchester, Manchester, UK
| | - Andrew Watson
- Sobell Department of Motor Neurosciences and Movement Disorders, UCL Institute of Neurology, London, UK
| | | | - Rachel Upthegrove
- Institute for Mental Health, University of Birmingham, Birmingham, UK
| | - Graham Dunn
- Division of Population Health, Health Services Research and Primary Care, The University of Manchester, Manchester, UK
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Newton R, Rouleau A, Nylander AG, Loze JY, Resemann HK, Steeves S, Crespo-Facorro B. Diverse definitions of the early course of schizophrenia-a targeted literature review. NPJ SCHIZOPHRENIA 2018; 4:21. [PMID: 30323274 PMCID: PMC6189105 DOI: 10.1038/s41537-018-0063-7] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Revised: 09/12/2018] [Accepted: 09/12/2018] [Indexed: 01/07/2023]
Abstract
Schizophrenia is a debilitating psychiatric disorder and patients experience significant comorbidity, especially cognitive and psychosocial deficits, already at the onset of disease. Previous research suggests that treatment during the earlier stages of disease reduces disease burden, and that a longer time of untreated psychosis has a negative impact on treatment outcomes. A targeted literature review was conducted to gain insight into the definitions currently used to describe patients with a recent diagnosis of schizophrenia in the early course of disease ('early' schizophrenia). A total of 483 relevant English-language publications of clinical guidelines and studies were identified for inclusion after searches of MEDLINE, MEDLINE In-Process, relevant clinical trial databases and Google for records published between January 2005 and October 2015. The extracted data revealed a wide variety of terminology and definitions used to describe patients with 'early' or 'recent-onset' schizophrenia, with no apparent consensus. The most commonly used criteria to define patients with early schizophrenia included experience of their first episode of schizophrenia or disease duration of less than 1, 2 or 5 years. These varied definitions likely result in substantial disparities of patient populations between studies and variable population heterogeneity. Better agreement on the definition of early schizophrenia could aid interpretation and comparison of studies in this patient population and consensus on definitions should allow for better identification and management of schizophrenia patients in the early course of their disease.
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Affiliation(s)
- Richard Newton
- Austin Health, University of Melbourne, Melbourne, VIC, Australia.,Peninsula Health, Frankston, VIC, Australia
| | | | | | | | | | | | - Benedicto Crespo-Facorro
- Department of Medicine & Psychiatry, University Hospital Marqués de Valdecilla, IDIVAL, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Santander, Spain
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43
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Torrent C, Reinares M, Martinez-Arán A, Cabrera B, Amoretti S, Corripio I, Contreras F, Sarró S, González-Pinto A, Lobo A, Cuesta MJ, Sánchez-Torres A, Bergé D, Castro-Fornieles J, Moreno C, Bernardo M, Vieta E. Affective versus non-affective first episode psychoses: A longitudinal study. J Affect Disord 2018; 238:297-304. [PMID: 29902733 DOI: 10.1016/j.jad.2018.06.005] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Revised: 05/31/2018] [Accepted: 06/01/2018] [Indexed: 12/23/2022]
Abstract
OBJECTIVE This study aimed to assess (1) whether there were clinical, neuropsychological and functional differences between and within affective and non-affective psychoses at baseline and two years-follow-up and (2) to explore clinical and neuropsychological predictors of psychosocial functioning in the whole sample. METHOD This is a subanalysis from a multicentre, naturalistic, longitudinal prospective study ('Phenotype-genotype and environmental interaction. Application of a predictive model in first psychotic episodes'). The sample consisted of 192 patients with a first psychotic episode (FEP): 142 with non-affective psychoses and 50 with affective psychoses. Student t-tests, paired t-tests, Pearson correlations, ANOVAs and regression analyses were performed. RESULTS At baseline, the groups differed in perseverative errors (WCST), Premorbid Adjustment Scale (PAS), family history of psychiatric disorder, negative (PANSS) and manic symptoms (YMRS). At two years follow-up, the groups differed in all the PANSS subscales and in depressive symptoms assessed by the MADRS. When the whole sample was considered, the regression model which best explained the estimated variance in functioning at follow-up (41%) was composed by PANSS total score and verbal fluency assessed by the FAS (COWAT). CONCLUSIONS We found clinical and neurocognitive differences at baseline which decreased in the follow-up. Reduced performances at baseline in executive functions in combination with symptom severity (PANSS) were predictors of FEP patients' poor functional outcome.
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Affiliation(s)
- C Torrent
- Barcelona Bipolar Disorders Program, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - M Reinares
- Barcelona Bipolar Disorders Program, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - A Martinez-Arán
- Barcelona Bipolar Disorders Program, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - B Cabrera
- Barcelona Clínic Schizophrenia Unit, Hospital Clinic de Barcelona, CIBERSAM, Barcelona, Spain
| | - S Amoretti
- Barcelona Clínic Schizophrenia Unit, Hospital Clinic de Barcelona, CIBERSAM, Barcelona, Spain
| | - I Corripio
- Department of Psychiatry, Biomedical Research Institute Sant Pau (IIB-SANT PAU), Santa Creu and Sant Pau Hospital; Autonomous University of Barcelona (UAB), CIBERSAM, Barcelona, Spain
| | - F Contreras
- Psychiatry Department, Bellvitge University Hospital-IDIBELL, Barcelona, Spain; Department of Clinical Sciences, School of Medicine, University of Barcelona, Barcelona, Spain
| | - S Sarró
- FIDMAG Research Foundation Germanes Hospitalàries, CIBERSAM, Barcelona, Spain
| | - A González-Pinto
- Department of Psychiatry, University Hospital of Alava-Santiago, Vitoria, Spain
| | - A Lobo
- Department of Medicine and Psychiatry. Universidad de Zaragoza. Instituto de Investigación Aragón, CIBERSAM, Zaragoza, Spain
| | - M J Cuesta
- Department of Psychiatry, Complejo Hospitalario of Navarra, Pamplona, Spain. Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain, IdiSNA
| | - A Sánchez-Torres
- Department of Psychiatry, Complejo Hospitalario of Navarra, Pamplona, Spain. Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain, IdiSNA
| | - D Bergé
- Hospital del Mar Medical Research Institute (IMIM), Autonomous University of Barcelona and CIBERSAM, Barcelona, Spain
| | - J Castro-Fornieles
- Department of Child and Adolescent Psychiatry and Psychology. Institut Clínic of Neurosciences, IDIBAPS, Hospital Clínic de Barcelona, CIBERSAM, Barcelona, Spain
| | - C Moreno
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM. Madrid, Spain
| | - M Bernardo
- Barcelona Clínic Schizophrenia Unit, Hospital Clinic de Barcelona, CIBERSAM, Barcelona, Spain
| | - E Vieta
- Barcelona Bipolar Disorders Program, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.
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Lyne J, O'Donoghue B, Roche E, Renwick L, Cannon M, Clarke M. Negative symptoms of psychosis: A life course approach and implications for prevention and treatment. Early Interv Psychiatry 2018; 12:561-571. [PMID: 29076240 DOI: 10.1111/eip.12501] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2016] [Revised: 07/29/2017] [Accepted: 08/20/2017] [Indexed: 01/09/2023]
Abstract
AIM Negative symptoms are a cause of enduring disability in serious mental illness. In spite of this, the development of effective treatments for negative symptoms has remained slow. The challenge of improving negative symptom outcomes is compounded by our limited understanding of their aetiology and longitudinal development. METHODS A literature search was conducted for life course approach of negative symptoms using PubMed. Further articles were included following manual checking of reference lists and other search strategies. The paper contains a theoretical synthesis of the literature, summarized using conceptual models. RESULTS Negative symptom definitions are compared and considered within a context of the life course. Previous studies suggest that several illness phases may contribute to negative symptoms, highlighting our uncertainty in relation to the origin of negative symptoms. CONCLUSIONS Similar to other aspects of schizophrenia, negative symptoms likely involve a complex interplay of several risk and protective factors at different life phases. Concepts suggested in this article, such as "negative symptom reserve" theory, require further research, which may inform future prevention and treatment strategies.
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Affiliation(s)
- John Lyne
- Royal College of Surgeons in Ireland, North Dublin Mental Health Service, Ashlin Centre, Dublin, Ireland.,Dublin and East Treatment and Early Care Team (DETECT), Dublin, Ireland
| | - Brian O'Donoghue
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Victoria, Australia.,Centre of Youth Mental Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Eric Roche
- Dublin and East Treatment and Early Care Team (DETECT), Dublin, Ireland
| | - Laoise Renwick
- School of Nursing, Midwifery and Social Work, University of Manchester, Manchester, UK
| | - Mary Cannon
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Mary Clarke
- Dublin and East Treatment and Early Care Team (DETECT), Dublin, Ireland.,School of Medicine and Medical Science, University College Dublin, Dublin, Ireland.,Saint John of God Community Services Ltd, Blackrock, Co., Dublin, Ireland
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