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Lim K, Peh OH, Yang Z, Rekhi G, Rapisarda A, See YM, Rashid NAA, Ang MS, Lee SA, Sim K, Huang H, Lencz T, Lee J, Lam M. Large-scale evaluation of the Positive and Negative Syndrome Scale (PANSS) symptom architecture in schizophrenia. Asian J Psychiatr 2021; 62:102732. [PMID: 34118560 DOI: 10.1016/j.ajp.2021.102732] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 05/25/2021] [Accepted: 05/28/2021] [Indexed: 11/17/2022]
Abstract
Although the Positive and Negative Syndrome Scale (PANSS) is widely utilized in schizophrenia research, variability in specific item loading exist, hindering reproducibility and generalizability of findings across schizophrenia samples. We aim to establish a common PANSS factor structure from a large multi-ethnic sample and validate it against a meta-analysis of existing PANSS models. Schizophrenia participants (N = 3511) included in the current study were part of the Singapore Translational and Clinical Research Program (STCRP) and the Clinical Antipsychotic Trials for Intervention Effectiveness (CATIE). Exploratory Factor Analysis (EFA) was conducted to identify the factor structure of PANSS and validated with a meta-analysis (N = 16,171) of existing PANSS models. Temporal stability of the PANSS model and generalizability to individuals at ultra-high risk (UHR) of psychosis were evaluated. A five-factor solution best fit the PANSS data. These were the i) Positive, ii) Negative, iii) Cognitive/disorganization, iv) Depression/anxiety and v) Hostility factors. Convergence of PANSS symptom architecture between EFA model and meta-analysis was observed. Modest longitudinal reliability was observed. The schizophrenia derived PANSS factor model fit the UHR population, but not vice versa. We found that two other domains, Social Amotivation (SA) and Diminished Expression (DE), were nested within the negative symptoms factor. Here, we report one of the largest transethnic factorial structures of PANSS symptom domains (N = 19,682). Evidence reported here serves as crucial consolidation of a common PANSS structure that could aid in furthering our understanding of schizophrenia.
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Affiliation(s)
- Keane Lim
- Research Division, Institute of Mental Health, Singapore
| | - Oon-Him Peh
- Research Division, Institute of Mental Health, Singapore
| | - Zixu Yang
- Research Division, Institute of Mental Health, Singapore
| | - Gurpreet Rekhi
- Research Division, Institute of Mental Health, Singapore
| | - Attilio Rapisarda
- Research Division, Institute of Mental Health, Singapore; Duke-NUS Medical School, Singapore
| | - Yuen-Mei See
- Research Division, Institute of Mental Health, Singapore
| | | | - Mei-San Ang
- Research Division, Institute of Mental Health, Singapore
| | - Sara-Ann Lee
- Research Division, Institute of Mental Health, Singapore
| | - Kang Sim
- Research Division, Institute of Mental Health, Singapore
| | - Hailiang Huang
- Stanley Center for Psychiatric Research, The Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Todd Lencz
- Feinstein Institute of Medical Research, The Zucker Hillside Hospital, New York, United States
| | - Jimmy Lee
- Research Division, Institute of Mental Health, Singapore; Department of Psychosis, Institute of Mental Health, Singapore; Neuroscience and Mental Health, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
| | - Max Lam
- Research Division, Institute of Mental Health, Singapore; Stanley Center for Psychiatric Research, The Broad Institute of MIT and Harvard, Cambridge, MA, United States; Feinstein Institute of Medical Research, The Zucker Hillside Hospital, New York, United States.
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Crouse JJ, Chitty KM, White D, Lee RSC, Moustafa AA, Naismith SL, Scott J, Hermens DF, Hickie IB. Modelling change in neurocognition, symptoms and functioning in young people with emerging mental disorders. J Psychiatr Res 2020; 131:22-30. [PMID: 32916374 DOI: 10.1016/j.jpsychires.2020.08.028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 08/11/2020] [Accepted: 08/22/2020] [Indexed: 02/08/2023]
Abstract
Mental disorders and their functional impacts evolve dynamically over time. Neurocognition and clinical symptoms are commonly modelled as predictors of functioning, however, studies tend to rely on static variables and adult samples with chronic disorders, with limited research investigating change in these variables in young people with emerging mental disorders. These relationships were explored in a longitudinal clinical cohort of young people accessing early intervention mental health services in Australia, around three-quarters of whom presented with a mood disorder (N = 176, aged 12-30 at baseline). Bivariate latent change score models quantified associations between neurocognition (a latent variable of working memory, verbal memory, visuospatial memory, and cognitive flexibility), global clinical symptoms, and functioning (self- and clinician-rated) and their relative change over follow-up (median = 20 months). We found that longitudinal changes in functioning were coupled with changes in global clinical symptoms (β = -0.43, P < 0.001), such that improvement in functioning was related to improvement in clinical symptoms. Changes in neurocognition were not significantly associated with changes in functioning or clinical symptoms. Main findings were upheld in three sensitivity analyses restricting the sample to: (a) adults aged 18-30; (b) participants with 12-24 months of follow-up; and (c) participants without a psychotic disorder. Our findings show that global symptom reduction and functional improvement are related in young people with emerging mental disorders. More work is needed to determine the temporal precedence of change in these variables. Future studies should apply this methodology to intervention studies to untangle the causal dynamics between neurocognition, symptoms, and functioning.
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Affiliation(s)
- Jacob J Crouse
- Youth Mental Health and Technology Team, Brain and Mind Centre, University of Sydney, NSW, Australia.
| | - Kate M Chitty
- The University of Sydney Faculty of Medicine and Health, Discipline of Pharmacology, Translational Australian Clinical Toxicology Program, Sydney, NSW, 2006, Australia
| | - Django White
- Youth Mental Health and Technology Team, Brain and Mind Centre, University of Sydney, NSW, Australia
| | - Rico S C Lee
- Turner Institute for Brain and Mental Health, Monash University, VIC, Australia
| | - Ahmed A Moustafa
- MARCS Institute for Brain, Development, and Behaviour, NSW, Australia; School of Social Sciences and Psychology, Western Sydney University, Australia
| | - Sharon L Naismith
- Healthy Brain Ageing Clinic, Brain and Mind Centre, University of Sydney, NSW, Australia; Charles Perkins Centre, University of Sydney, NSW, Australia
| | - Jan Scott
- Academic Psychiatry, Institute of Neuroscience, University of Newcastle, UK; Diderot University, Sorbonne City, Paris, France; Norwegian University of Science and Technology, Trondheim, Norway
| | - Daniel F Hermens
- Youth Mental Health and Technology Team, Brain and Mind Centre, University of Sydney, NSW, Australia; Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, Australia
| | - Ian B Hickie
- Youth Mental Health and Technology Team, Brain and Mind Centre, University of Sydney, NSW, Australia
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Loebel A, Cucchiaro J, Silva R, Mao Y, Xu J, Pikalov A, Marder S. Efficacy of lurasidone across five symptom dimensions of schizophrenia: Pooled analysis of short-term, placebo-controlled studies. Eur Psychiatry 2020; 30:26-31. [DOI: 10.1016/j.eurpsy.2014.08.001] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2014] [Revised: 07/31/2014] [Accepted: 08/04/2014] [Indexed: 10/24/2022] Open
Abstract
AbstractObjective:To evaluate the efficacy of lurasidone for schizophrenia using an established five-factor model of the Positive and Negative Syndrome Scale (PANSS).Methods:Patient-level data were pooled from five randomized, double-blind, placebo-controlled, 6-week studies of lurasidone (fixed doses, 40–160 mg/d) for patients with an acute exacerbation of schizophrenia. Changes in five established PANSS factors were assessed using mixed-model repeated measures analysis.Results:Compared with placebo (n = 496), lurasidone (n = 1029, dose groups pooled) significantly improved the PANSS total score at Week 6 (−22.6 vs. −12.8; P < 0.001; effect size, 0.45), as well as all factor scores (P < 0.001 for each): positive symptoms (−8.4 vs. −6.0; effect size, 0.43), negative symptoms (−5.2 vs. −3.3; effect size, 0.33), disorganized thought (−4.9 vs. −2.8; effect size, 0.42), hostility/excitement (−2.7 vs. −1.6; effect size, 0.31), and depression/anxiety (−3.2 vs. −2.3; effect size, 0.31). Separation from placebo occurred at Week 1 for the positive symptoms, disorganized thought, and hostility/excitement factors and at Week 2 for the other factors.Conclusions:In this pooled analysis of short-term studies in patients with acute schizophrenia, lurasidone demonstrated significant improvement for each of the five PANSS factor scores, indicating effectiveness across the spectrum of schizophrenia symptoms.
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Oluwoye O, Kriegel L, Alcover KC, Compton MT, Cabassa LJ, McDonell MG. The impact of early family contact on quality of life among non-Hispanic Blacks and Whites in the RAISE-ETP trial. Schizophr Res 2020; 216:523-525. [PMID: 31902559 PMCID: PMC7239728 DOI: 10.1016/j.schres.2019.12.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 12/10/2019] [Accepted: 12/15/2019] [Indexed: 10/25/2022]
Affiliation(s)
- Oladunni Oluwoye
- Department of Medical Education and Clinical Sciences, Elson S. Floyd College of Medicine, Washington State University, 412 E. Spokane Falls Blvd, Spokane, WA 99202, United States of America.
| | - Liat Kriegel
- Department of Medical Education and Clinical Sciences, Elson S. Floyd College of Medicine, Washington State University, 412 E. Spokane Falls Blvd, Spokane, WA 99202, United States of America.
| | - Karl C. Alcover
- Department of Medical Education and Clinical Sciences, Elson S. Floyd College of Medicine, Washington State University, 412 E. Spokane Falls Blvd, Spokane WA 99202
| | | | - Leopoldo J. Cabassa
- George Warren Brown School of Social Work, Washington University in St. Louis, One Brookings Drive, Campus Box 1196, St. Louis MO, 63130
| | - Michael G. McDonell
- Department of Medical Education and Clinical Sciences, Elson S. Floyd College of Medicine, Washington State University, 412 E. Spokane Falls Blvd, Spokane WA 99202
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Mosolov SN, Malyutin AV, Pikalov AA. [Effect of Lurasidone on symptoms of schizophrenia in five-factor dimensional model: pooled analysis of two short-term, randomized, double-blind, placebo-controlled studies in patients from Russia and Ukraine]. Zh Nevrol Psikhiatr Im S S Korsakova 2020; 119:29-37. [PMID: 31994511 DOI: 10.17116/jnevro201911912129] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
AIM Evaluation of a new five-factor dimensional model of schizophrenia in recent revisions of classifications of mental disorders (DSM-5 and ICD-11) dictates the need to use this approach in conducting a comprehensive assessment of the effectiveness of new antipsychotic agents, including ethnically homogeneous populations of patients. MATERIAL AND METHODS Post-hoc analysis of pooled data from two randomized, double-blind, placebo-controlled, 6-week clinical studies (RCTs) of lurasidone (fixed doses, 40, 80, 120 or 160 mg/d) in patients experiencing an acute exacerbation of schizophrenia. Changes in PANSS total score, CGI-S score and five established PANSS factors were assessed using mixed-model repeated measures analysis. RESULTS Lurasidone (n=162, dose groups pooled) compared with placebo (n=68), significantly improved the PANSS total score at Week 6 (-23.0 vs. -10.5; p<0.001; effect size 0.82) as well as all PANSS factor scores: positive symptoms (-8.5 vs. -4.2; p<0.001; effect size 0.88), negative symptoms (-4.4 vs. -2.8; p=0.011, effect size 0.44), disorganized thoughts (-4.4 vs. -2.1; p<0.001; effect size 0.70), hostility/excitement (-2.7 vs. -0.7; p<0.001; effect size 0.66), and depression/anxiety (-3.5 vs. -2.2; p=0.002; effect size 0.53). CONCLUSION Lurasidone demonstrated significant improvement for both PANSS total score and each of the five PANSS factor scores, indicating effectiveness across the broad spectrum of schizophrenia symptoms. Effect size for both PANSS total score and each of the five PANSS factor scores for the local population was higher than for the wider population, which included patients from various countries.
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Affiliation(s)
- S N Mosolov
- Moscow Research Institute of Psychiatry, the Branch of National Medical Research Center for Psychiatry and Addictology named after V.P. Serbsky of the Ministry of Health of Russia, Moscow, Russia
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Fountoulakis KN, Dragioti E, Theofilidis AT, Wikilund T, Atmatzidis X, Nimatoudis I, Thys E, Wampers M, Hranov L, Hristova T, Aptalidis D, Milev R, Iftene F, Spaniel F, Knytl P, Furstova P, From T, Karlsson H, Walta M, Salokangas RKR, Azorin JM, Bouniard J, Montant J, Juckel G, Haussleiter IS, Douzenis A, Michopoulos I, Ferentinos P, Smyrnis N, Mantonakis L, Nemes Z, Gonda X, Vajda D, Juhasz A, Shrivastava A, Waddington J, Pompili M, Comparelli A, Corigliano V, Rancans E, Navickas A, Hilbig J, Bukelskis L, Injac Stevovic L, Vodopic S, Esan O, Oladele O, Osunbote C, Rybakowski JΚ, Wojciak P, Domowicz K, Figueira ML, Linhares L, Crawford J, Panfil AL, Smirnova D, Izmailova O, Lecic-Tosevski D, Temmingh H, Howells F, Bobes J, Garcia-Portilla MP, García-Alvarez L, Erzin G, Karadağ H, De Sousa A, Bendre A, Hoschl C, Bredicean C, Papava I, Vukovic O, Pejuskovic B, Russell V, Athanasiadis L, Konsta A, Stein D, Berk M, Dean O, Tandon R, Kasper S, De Hert. M. Staging of Schizophrenia With the Use of PANSS: An International Multi-Center Study. Int J Neuropsychopharmacol 2019; 22:681-697. [PMID: 31563956 PMCID: PMC6872964 DOI: 10.1093/ijnp/pyz053] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 07/19/2019] [Accepted: 09/25/2019] [Indexed: 12/30/2022] Open
Abstract
INTRODUCTION A specific clinically relevant staging model for schizophrenia has not yet been developed. The aim of the current study was to evaluate the factor structure of the PANSS and develop such a staging method. METHODS Twenty-nine centers from 25 countries contributed 2358 patients aged 37.21 ± 11.87 years with schizophrenia. Analysis of covariance, Exploratory Factor Analysis, Discriminant Function Analysis, and inspection of resultant plots were performed. RESULTS Exploratory Factor Analysis returned 5 factors explaining 59% of the variance (positive, negative, excitement/hostility, depression/anxiety, and neurocognition). The staging model included 4 main stages with substages that were predominantly characterized by a single domain of symptoms (stage 1: positive; stages 2a and 2b: excitement/hostility; stage 3a and 3b: depression/anxiety; stage 4a and 4b: neurocognition). There were no differences between sexes. The Discriminant Function Analysis developed an algorithm that correctly classified >85% of patients. DISCUSSION This study elaborates a 5-factor solution and a clinical staging method for patients with schizophrenia. It is the largest study to address these issues among patients who are more likely to remain affiliated with mental health services for prolonged periods of time.
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Affiliation(s)
- Konstantinos N Fountoulakis
- 3rd Department of Psychiatry, Faculty of Medicine, School of Health Sciences, Aristotle University of Thessaloniki,Greece,Correspondence to: Konstantinos N. Fountoulakis, 6, Odysseos str (1 Parodos Ampelonon str.), 55535 Pylaia Thessaloniki, Greece ()
| | - Elena Dragioti
- Department of Medical and Health Sciences (IMH), Faculty of Health Sciences, Linköping University, Linköping, Sweden,Hallunda Psychiatric Outpatient Clinic, Stockholm Psychiatric Southwest Clinic, Karolinska Huddinge University Hospital,Sweden
| | - Antonis T Theofilidis
- 3rd Department of Psychiatry, Faculty of Medicine, School of Health Sciences, Aristotle University of Thessaloniki,Greece
| | - Tobias Wikilund
- Department of Medical and Health Sciences (IMH), Faculty of Health Sciences, Linköping University, Linköping, Sweden,Hallunda Psychiatric Outpatient Clinic, Stockholm Psychiatric Southwest Clinic, Karolinska Huddinge University Hospital,Sweden
| | - Xenofon Atmatzidis
- Department of Medical and Health Sciences (IMH), Faculty of Health Sciences, Linköping University, Linköping, Sweden,Hallunda Psychiatric Outpatient Clinic, Stockholm Psychiatric Southwest Clinic, Karolinska Huddinge University Hospital,Sweden
| | - Ioannis Nimatoudis
- 3rd Department of Psychiatry, Faculty of Medicine, School of Health Sciences, Aristotle University of Thessaloniki,Greece
| | - Erik Thys
- University Psychiatric Centre KU Leuven, Kortenberg and Department of Neurosciences KU, Leuven, Belgium
| | - Martien Wampers
- University Psychiatric Centre KU Leuven, Kortenberg and Department of Neurosciences KU, Leuven, Belgium
| | - Luchezar Hranov
- University Multiprofile Hospital for Active Treatment in Neurology and Psychiatry “Sveti Naum”, Sofia, Bulgaria
| | - Trayana Hristova
- University Multiprofile Hospital for Active Treatment in Neurology and Psychiatry “Sveti Naum”, Sofia, Bulgaria
| | - Daniil Aptalidis
- University Multiprofile Hospital for Active Treatment in Neurology and Psychiatry “Sveti Naum”, Sofia, Bulgaria
| | - Roumen Milev
- Department of Psychiatry, Queen’s University, Providence Care Hospital, Kingston, Ontario, Canada
| | - Felicia Iftene
- Department of Psychiatry, Queen’s University, Providence Care Hospital, Kingston, Ontario, Canada
| | - Filip Spaniel
- National Institute of Mental Health, Klecany, Czech Republic
| | - Pavel Knytl
- National Institute of Mental Health, Klecany, Czech Republic
| | - Petra Furstova
- National Institute of Mental Health, Klecany, Czech Republic
| | - Tiina From
- Department of Psychiatry, University of Turku, Turku, Finland
| | - Henry Karlsson
- Department of Psychiatry, University of Turku, Turku, Finland
| | - Maija Walta
- Department of Psychiatry, University of Turku, Turku, Finland
| | | | - Jean-Michel Azorin
- Department of Psychiatry, Sainte Marguerite University Hospital, Marseille, France,Timone Institute of Neuroscience, CNRS and Aix-Marseille University, Marseille, France
| | - Justine Bouniard
- Department of Psychiatry, Sainte Marguerite University Hospital, Marseille, France,Timone Institute of Neuroscience, CNRS and Aix-Marseille University, Marseille, France
| | - Julie Montant
- Department of Psychiatry, Sainte Marguerite University Hospital, Marseille, France,Timone Institute of Neuroscience, CNRS and Aix-Marseille University, Marseille, France
| | - Georg Juckel
- Department of Psychiatry, Ruhr University Bochum, LWL-University Hospital, Bochum, Germany
| | - Ida S Haussleiter
- Department of Psychiatry, Ruhr University Bochum, LWL-University Hospital, Bochum, Germany
| | - Athanasios Douzenis
- 2nd Department of Psychiatry, National and Kapodistrian University of Athens, Athens, Greece
| | - Ioannis Michopoulos
- 2nd Department of Psychiatry, National and Kapodistrian University of Athens, Athens, Greece
| | - Panagiotis Ferentinos
- 2nd Department of Psychiatry, National and Kapodistrian University of Athens, Athens, Greece
| | - Nikolaos Smyrnis
- Department of Psychiatry, National and Kapodistrian University of Athens School of Medicine, Eginition Hospital, Athens, Greece
| | - Leonidas Mantonakis
- Department of Psychiatry, National and Kapodistrian University of Athens School of Medicine, Eginition Hospital, Athens, Greece
| | | | - Xenia Gonda
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Dora Vajda
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Anita Juhasz
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | | | - John Waddington
- Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Maurizio Pompili
- Department of Neurosciences, Mental Health and Sensory Organs, Suicide Prevention Center, Sant’Andrea Hospital, Sapienza University of Rome, Rome, Italy
| | - Anna Comparelli
- Department of Neurosciences, Mental Health and Sensory Organs, Suicide Prevention Center, Sant’Andrea Hospital, Sapienza University of Rome, Rome, Italy
| | - Valentina Corigliano
- Department of Neurosciences, Mental Health and Sensory Organs, Suicide Prevention Center, Sant’Andrea Hospital, Sapienza University of Rome, Rome, Italy
| | - Elmars Rancans
- Department of Psychiatry and Narcology, Riga Stradins University, Riga, Latvia
| | - Alvydas Navickas
- Clinic of Psychiatric, Faculty of Medicine, Vilnius University, Vilnius, Lithuania,Psychosocial Rehabilitation Department of the Vilnius Mental Health Center, Department for Psychosis Treatment of the Vilnius Mental Health Center, Vilnius, Lithuania
| | - Jan Hilbig
- Clinic of Psychiatric, Faculty of Medicine, Vilnius University, Vilnius, Lithuania,Psychosocial Rehabilitation Department of the Vilnius Mental Health Center, Department for Psychosis Treatment of the Vilnius Mental Health Center, Vilnius, Lithuania
| | - Laurynas Bukelskis
- Clinic of Psychiatric, Faculty of Medicine, Vilnius University, Vilnius, Lithuania,Psychosocial Rehabilitation Department of the Vilnius Mental Health Center, Department for Psychosis Treatment of the Vilnius Mental Health Center, Vilnius, Lithuania
| | - Lidija Injac Stevovic
- Clinical Department of Psychiatry, Clinical Centre of Montenegro, Podgorica, Montenegro,Department of Psychiatry, School of Medicine, University of Montenegro, Dzona Dzeksona bb, Podgorica, Montenegro,Clinical Department of Neurology, Clinical Centre of Montenegro, Dzona Dzeksona bb, Podgorica, Montenegro
| | - Sanja Vodopic
- Clinical Department of Psychiatry, Clinical Centre of Montenegro, Podgorica, Montenegro,Department of Psychiatry, School of Medicine, University of Montenegro, Dzona Dzeksona bb, Podgorica, Montenegro,Clinical Department of Neurology, Clinical Centre of Montenegro, Dzona Dzeksona bb, Podgorica, Montenegro
| | - Oluyomi Esan
- Department of Psychiatry, College of Medicine, University of Ibadan,Nigeria
| | - Oluremi Oladele
- Department of Psychiatry, College of Medicine, University of Ibadan,Nigeria
| | | | - Janusz Κ Rybakowski
- Department of Adult Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - Pawel Wojciak
- Department of Adult Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - Klaudia Domowicz
- Department of Adult Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - Maria Luisa Figueira
- Department of Psychiatry and Mental Health, Santa Maria University Hospital, Lisbon, Portugal
| | - Ludgero Linhares
- Department of Psychiatry and Mental Health, Santa Maria University Hospital, Lisbon, Portugal
| | - Joana Crawford
- Department of Psychiatry and Mental Health, Santa Maria University Hospital, Lisbon, Portugal
| | | | - Daria Smirnova
- Samara State Medical University, Department of Psychiatry, Samara Psychiatric Hospital, Inpatient Unit, Russia
| | - Olga Izmailova
- Samara State Medical University, Department of Psychiatry, Samara Psychiatric Hospital, Inpatient Unit, Russia
| | - Dusica Lecic-Tosevski
- Institute of Mental Health, Belgrade, Serbia,Serbian Academy of Sciences and Arts, Belgrade, Serbia
| | - Henk Temmingh
- Department of Psychiatry and Mental Health, University of Cape Town Cape Town, Western Cape, South Africa
| | - Fleur Howells
- Department of Psychiatry and Mental Health, University of Cape Town Cape Town, Western Cape, South Africa
| | - Julio Bobes
- Department of Psychiatry, University of Oviedo and Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Oviedo, Spain
| | - Maria Paz Garcia-Portilla
- Department of Psychiatry, University of Oviedo and Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Oviedo, Spain
| | - Leticia García-Alvarez
- Department of Psychiatry, University of Oviedo and Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Oviedo, Spain
| | - Gamze Erzin
- Psychiatry Department, Diskapi Yildirim Beyazit Training and Research Hospital, Ankara, Turkey
| | - Hasan Karadağ
- Psychiatry Department, Diskapi Yildirim Beyazit Training and Research Hospital, Ankara, Turkey
| | - Avinash De Sousa
- Department of Psychiatry Lokmanya Tilak Municipal Medical College Mumbai, India
| | - Anuja Bendre
- Department of Psychiatry Lokmanya Tilak Municipal Medical College Mumbai, India
| | - Cyril Hoschl
- National Institute of Mental Health, Klecany, Czech Republic
| | | | - Ion Papava
- University of Medicine and Pharmacy of Timisoara, Romania
| | - Olivera Vukovic
- Institute of Mental Health, School of Medicine, University of Belgrade, Belgrade, Serbia
| | - Bojana Pejuskovic
- Department of Psychiatry, Royal College of Surgeons in Ireland, Beaumont Hospital, Dublin, Ireland
| | - Vincent Russell
- Department of Psychiatry, Royal College of Surgeons in Ireland, Beaumont Hospital, Dublin, Ireland
| | - Loukas Athanasiadis
- 1st Department of Psychiatry, Faculty of Medicine, School of Health Sciences, Aristotle University of Thessaloniki, Greece
| | - Anastasia Konsta
- 1st Department of Psychiatry, Faculty of Medicine, School of Health Sciences, Aristotle University of Thessaloniki, Greece
| | - Dan Stein
- MRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Michael Berk
- Deakin University, IMPACT Strategic Research Centre, School of Medicine, Barwon Health, Geelong, Australia,Orygen, The National Centre of Excellence in Youth Mental Health and the Centre for Youth Mental Health, the Florey Institute for Neuroscience and Mental Health and the Department of Psychiatry, University of Melbourne, Parkville, Australia
| | - Olivia Dean
- Deakin University, School of Medicine, IMPACT Strategic Research Centre, Barwon Health, Geelong, Australia
| | - Rajiv Tandon
- Department of Psychiatry, University of Florida, ***, FL
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Marc De Hert.
- University Psychiatric Centre KU Leuven, Kortenberg and Department of Neurosciences KU, Leuven, Belgium
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Zizolfi D, Poloni N, Caselli I, Ielmini M, Lucca G, Diurni M, Cavallini G, Callegari C. Resilience and recovery style: a retrospective study on associations among personal resources, symptoms, neurocognition, quality of life and psychosocial functioning in psychotic patients. Psychol Res Behav Manag 2019; 12:385-395. [PMID: 31213935 PMCID: PMC6549482 DOI: 10.2147/prbm.s205424] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Accepted: 04/17/2019] [Indexed: 01/26/2023] Open
Abstract
Background: Personal resources have been identified as important factors in predicting patient healing or symptoms control in schizophrenia. This observational retrospective study aims to explore the influence of resilience and recovery style on the modalities of clinical presentation of the disease, as well as individual functioning and quality of life. Methods: Participants were patients affected by schizophrenia spectrum disorders assessed at different mental health facilities. The rating scales considered are the following: Resilience Scale 10-items (RS); Recovery Style Questionnaire (RSQ); Montreal Cognitive Assessment (MoCA); Schizophrenia Quality of Life Scale (SQLS); Life Skills Profile (LSP); Positive and Negative Syndrome Scale (PANSS). Results: Forty-four patients fulfilled the inclusion criteria. The mean age was 46 years; the average length of the history of the disease at recruitment was 23 years with an average age at first episode of psychosis (FEP) of 23 years. General psychopathology, neurocognition, and integration recovery style can predict psychosocial functioning and explain ~54% of the LSP variance; RS total score and PANSS general psychopathology score can predict and explain ~29% of the LSP variance. A negative association between PANSS general psychopathology and LSP total score supports the need to reduce first the symptomatology, and then successfully apply other types of interventions. A strong positive association between neurocognition and life functioning was detected, showing that deficits in neurocognition have proved to be important predictors of the functional outcome. Integration was also proven to be significantly associated with a good functional outcome. Psychotic symptoms turn out to be a negative predictive factor, whereas resilience can be hypothesized as a protective factor. Conclusions: Resilience and recovery style "integration" can be considered as two complementary predictive resources for a good outcome; this result supports the need to set up personalized treatments, based on the characteristics of the patients.
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Affiliation(s)
- Daniele Zizolfi
- Department of Medicine and Surgery, Psychiatry, University of Insubria, Varese, VA 21100, Italy
| | - Nicola Poloni
- Department of Medicine and Surgery, Psychiatry, University of Insubria, Varese, VA 21100, Italy
| | - Ivano Caselli
- Department of Medicine and Surgery, Psychiatry, University of Insubria, Varese, VA 21100, Italy
| | - Marta Ielmini
- Department of Medicine and Surgery, Psychiatry, University of Insubria, Varese, VA 21100, Italy
| | - Giulia Lucca
- Department of Medicine and Surgery, Psychiatry, University of Insubria, Varese, VA 21100, Italy
| | - Marcello Diurni
- Department of Medicine and Surgery, Psychiatry, University of Insubria, Varese, VA 21100, Italy
| | - Greta Cavallini
- Department of Medicine and Surgery, Psychiatry, University of Insubria, Varese, VA 21100, Italy
| | - Camilla Callegari
- Department of Medicine and Surgery, Psychiatry, University of Insubria, Varese, VA 21100, Italy
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8
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Germain N, Kymes S, Löf E, Jakubowska A, François C, Weatherall J. A systematic literature review identifying associations between outcomes and quality of life (QoL) or healthcare resource utilization (HCRU) in schizophrenia. J Med Econ 2019; 22:403-413. [PMID: 30696307 DOI: 10.1080/13696998.2019.1576694] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
AIMS There have been no systematic literature reviews (SLRs) evaluating the identified association between outcomes (e.g. clinical, functional, adherence, societal burden) and Quality-of-Life (QoL) or Healthcare Resource Utilization (HCRU) in schizophrenia. The objective of this study was to conduct a SLR of published data on the relationship between outcomes and QoL or HCRU. MATERIALS AND METHODS Electronic searches were conducted in Embase and Medline, for articles which reported on the association between outcomes and QoL or HCRU. Inclusion and exclusion criteria were applied to identify the most relevant articles and studies and extract their data. A summary table was developed to illustrate the strength of associations, based on p-values and correlations. RESULTS One thousand and two abstracts were retrieved; five duplicates were excluded; 997 abstracts were screened and 95 references were retained for full-text screening. Thrirty-one references were included in the review. The most commonly used questionnaire, which also demonstrated the strongest associations (defined as a p < 0.0001 and/or correlation ±0.70), was the Positive and Negative Syndrome Scale (PANSS) associated with HCRU and QoL (the SF-36, the Schizophrenia Quality-of-Life questionnaire [S-QOL-18], the Quality-of-Life Scale [QLS]). Other robust correlations included the Clinical Global Impression-Severity (CGI-S) with QoL (EQ5D), relapse with HCRU, and remission with QoL (EQ5D). Lastly, functioning (Work Rehabilitation Questionnaire [WORQ] and Personal and Social Performance Scale [PSP]) was found to be associated to QoL (QLS and Subjective Well-being under Neuroleptics Questionnaire [SWN]). LIMITATIONS This study included data from an 11-year period, and other instruments less frequently used may be further investigated. CONCLUSIONS The evidence suggests that the PANSS is the clinical outcome that currently provides the most frequent and systematic associations with HCRU and QoL endpoints in schizophrenia.
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Affiliation(s)
| | | | - Elin Löf
- c Medical Affairs Psychiatry, Lundbeck A/S , Valby , Denmark
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9
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Barron D, Voracek M, Tran US, Ong HS, Morgan KD, Towell T, Swami V. A reassessment of the higher-order factor structure of the German Schizotypal Personality Questionnaire (SPQ-G) in German-speaking adults. Psychiatry Res 2018; 269:328-336. [PMID: 30173038 DOI: 10.1016/j.psychres.2018.08.070] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2017] [Revised: 08/17/2018] [Accepted: 08/17/2018] [Indexed: 10/28/2022]
Abstract
The Schizotypal Personality Questionnaire (SPQ) is a widely-used self-report instrument for the assessment of schizotypal personality traits. However, the factor structure of scores on English and non-English translations of the SPQ has been a matter of debate. With little previous factorial evaluation of the German version of the SPQ (SPQ-G), we re-assessed the higher-order factor structure of the measure. A total of 2,428 German-speaking adults from Central Europe (CE) and the United Kingdom (UK) completed the SPQ-G. Confirmatory factor analysis - testing proposed 2-, 3-, and 4-factor models of SPQ-G scores - indicated that the 4-factor solution had best fit. Partial measurement invariance across cultural group (CE and UK) and sex was obtained for the 4-factor model. Further analyses showed CE participants had significantly higher scores than UK participants on one schizotypal facet. These results suggest that scores on the SPQ-G are best explained in terms of a higher-order, 4-factor solution in German migrant and non-migrant adults.
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Affiliation(s)
- David Barron
- Centre for Psychological Medicine, Perdana University, Serdang, Malaysia.
| | - Martin Voracek
- Department of Basic Psychological Research and Research Methods, School of Psychology, University of Vienna, Vienna, Austria
| | - Ulrich S Tran
- Department of Basic Psychological Research and Research Methods, School of Psychology, University of Vienna, Vienna, Austria
| | - Hui San Ong
- School of Data Sciences, Perdana University, Serdang, Malaysia
| | - Kevin D Morgan
- Department of Psychology, University of Westminster, London, UK
| | - Tony Towell
- Department of Psychology, University of Westminster, London, UK
| | - Viren Swami
- Centre for Psychological Medicine, Perdana University, Serdang, Malaysia; Department of Psychology, Anglia Ruskin, Cambridge, UK
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10
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Gorwood P, Mallet J, Lancrenon S. Functional remission in schizophrenia: A FROGS-based definition and its convergent validity. Psychiatry Res 2018; 268:94-101. [PMID: 30015112 DOI: 10.1016/j.psychres.2018.07.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Revised: 06/28/2018] [Accepted: 07/02/2018] [Indexed: 10/28/2022]
Abstract
Functional remission concerns only one third of schizophrenia patients who achieved symptomatic remission. We previously developed a scale devoted to functional remission, named the FROGS (Functional Remission Of General Schizophrenia). This instrument encompasses three clinically relevant dimensions. The aim of this study is to provide a threshold for functional remission relying on these three dimensions, and to compare its psychometric properties with other scales devoted to functional remission. We tested the characteristics of functional remission according to the FROGS. The FROGS was used in different European countries and compared to other valid scales (GAF, PSP and PSRS) in a sample of 295 schizophrenia patients. The association with different parameters as external validators was assessed, including clinical remission. A comparison of the classifying properties of each scale compared to the others was made. The four instruments were equally influenced by the PANSS score, the clinical remission according Andreassen's criteria, the number of past hospitalizations and the presence of a paid working activity. These findings provide a simple threshold for the FROGS, tightly linked to the definition of functional remission, with a good convergent validity. This instrument might be easily used to facilitate the assessment of functional remission in schizophrenia.
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Affiliation(s)
- Philip Gorwood
- Sainte-Anne Hospital (CMME), Paris Descartes University, Paris, France; INSERM U894, Institute of Psychiatry and Neuroscience of Paris (IPNP), Paris, France.
| | - Jasmina Mallet
- INSERM U894, Institute of Psychiatry and Neuroscience of Paris (IPNP), Paris, France; CHU Louis Mourier, Department of Psychiatry, Paris Diderot University, AP-HP, Colombes, France
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11
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The association of psychopathology with concurrent level of functioning and subjective well-being in persons with schizophrenia spectrum disorders. Eur Arch Psychiatry Clin Neurosci 2018; 268:455-459. [PMID: 28357563 DOI: 10.1007/s00406-017-0780-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2016] [Accepted: 03/06/2017] [Indexed: 10/19/2022]
Abstract
The objective is to investigate the relationship between psychopathology measured by the positive and negative syndrome scale (PANSS) and concurrent global assessment of functioning (GAF) and subjective well-being under neuroleptics (SWN) in patients with schizophrenia spectrum disorder (SSD) regarding severity of illness and disease phase. We analyzed a sample of 202 SSD patients consisting of first episode psychosis (FEP) and multiple episode psychosis (MEP) patients followed up to 12 months using linear mixed models. All PANSS syndromes except excitement were associated with GAF scores (positive syndrome: p < 0.001, d = 1.21; negative syndrome: p = 0.029, d = 0.015; disorganized syndrome: p < 0.001, d = 0.37; anxiety/depression syndrome: p < 0.001, d = 0.49), and positive symptoms had an increasing impact on global functioning with higher severity of illness (mildly ill: p = 0.039, d = 0.22; moderately ill: p < 0.001, d = 0.28; severely ill: p < 0.001, d = 0.69). SWN was associated with positive (p = 0.002, d = 0.22) and anxiety/depression (p < 0.001, d = 0.38) syndromes. Subgroup analyses showed differing patterns depending on illness severity and phase. Over all our results show different patterns of associations of psychopathology and concurrent functioning and subjective well-being. These findings contribute knowledge on the possible role of specific psychopathological syndromes for the functioning and well-being of our patients and may enable tailored treatments depending on severity and phase of illness.
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12
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Faget-Agius C, Vincenti A, Guedj E, Michel P, Richieri R, Alessandrini M, Auquier P, Lançon C, Boyer L. Defining functioning levels in patients with schizophrenia: A combination of a novel clustering method and brain SPECT analysis. Psychiatry Res Neuroimaging 2017; 270:32-38. [PMID: 29024925 DOI: 10.1016/j.pscychresns.2017.09.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2017] [Revised: 06/11/2017] [Accepted: 09/07/2017] [Indexed: 01/16/2023]
Abstract
This study aims to define functioning levels of patients with schizophrenia by using a method of interpretable clustering based on a specific functioning scale, the Functional Remission Of General Schizophrenia (FROGS) scale, and to test their validity regarding clinical and neuroimaging characterization. In this observational study, patients with schizophrenia have been classified using a hierarchical top-down method called clustering using unsupervised binary trees (CUBT). Socio-demographic, clinical, and neuroimaging SPECT perfusion data were compared between the different clusters to ensure their clinical relevance. A total of 242 patients were analyzed. A four-group functioning level structure has been identified: 54 are classified as "minimal", 81 as "low", 64 as "moderate", and 43 as "high". The clustering shows satisfactory statistical properties, including reproducibility and discriminancy. The 4 clusters consistently differentiate patients. "High" functioning level patients reported significantly the lowest scores on the PANSS and the CDSS, and the highest scores on the GAF, the MARS and S-QoL 18. Functioning levels were significantly associated with cerebral perfusion of two relevant areas: the left inferior parietal cortex and the anterior cingulate. Our study provides relevant functioning levels in schizophrenia, and may enhance the use of functioning scale.
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Affiliation(s)
- Catherine Faget-Agius
- Aix-Marseille University, EA 3279, 13005 Marseille, France EA 3279 - Public Health: chronic diseases and quality of life, School of Medicine, Timone University, 13005 Marseille, France; Department of Psychiatry, Conception University Hospital, 147 Boulevard Baille, 13005 Marseille, France.
| | - Aurélie Vincenti
- Aix-Marseille University, EA 3279, 13005 Marseille, France EA 3279 - Public Health: chronic diseases and quality of life, School of Medicine, Timone University, 13005 Marseille, France; Department of Psychiatry, Conception University Hospital, 147 Boulevard Baille, 13005 Marseille, France
| | - Eric Guedj
- Service Central de Biophysique et Médecine Nucléaire, La Timone University Hospital, Assistance Publique - Hôpitaux de Marseille, 13005 Marseille, France; Centre Européen de Recherche en Imagerie Médicale (CERIMED), Aix-Marseille University, Marseille 13005, France
| | - Pierre Michel
- Aix-Marseille University, EA 3279, 13005 Marseille, France EA 3279 - Public Health: chronic diseases and quality of life, School of Medicine, Timone University, 13005 Marseille, France; Department of Mathematics, Faculte des sciences de Luminy, Aix-Marseille University, 13009 Marseille, France
| | - Raphaëlle Richieri
- Aix-Marseille University, EA 3279, 13005 Marseille, France EA 3279 - Public Health: chronic diseases and quality of life, School of Medicine, Timone University, 13005 Marseille, France; Department of Psychiatry, Conception University Hospital, 147 Boulevard Baille, 13005 Marseille, France
| | - Marine Alessandrini
- Aix-Marseille University, EA 3279, 13005 Marseille, France EA 3279 - Public Health: chronic diseases and quality of life, School of Medicine, Timone University, 13005 Marseille, France; Department of Public Health, La Timone University Hospital, Assistance Publique - Hôpitaux de Marseille, 13005 Marseille, France
| | - Pascal Auquier
- Aix-Marseille University, EA 3279, 13005 Marseille, France EA 3279 - Public Health: chronic diseases and quality of life, School of Medicine, Timone University, 13005 Marseille, France; Department of Public Health, La Timone University Hospital, Assistance Publique - Hôpitaux de Marseille, 13005 Marseille, France
| | - Christophe Lançon
- Aix-Marseille University, EA 3279, 13005 Marseille, France EA 3279 - Public Health: chronic diseases and quality of life, School of Medicine, Timone University, 13005 Marseille, France; Department of Psychiatry, Conception University Hospital, 147 Boulevard Baille, 13005 Marseille, France
| | - Laurent Boyer
- Aix-Marseille University, EA 3279, 13005 Marseille, France EA 3279 - Public Health: chronic diseases and quality of life, School of Medicine, Timone University, 13005 Marseille, France; Department of Public Health, La Timone University Hospital, Assistance Publique - Hôpitaux de Marseille, 13005 Marseille, France
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13
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The relationships of personal resources with symptom severity and psychosocial functioning in persons with schizophrenia: results from the Italian Network for Research on Psychoses study. Eur Arch Psychiatry Clin Neurosci 2017; 267:285-294. [PMID: 27381016 DOI: 10.1007/s00406-016-0710-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2016] [Accepted: 06/27/2016] [Indexed: 10/21/2022]
Abstract
The relationships of personal resources with symptom severity and psychosocial functioning have never been tested systematically in a large sample of people with schizophrenia. We applied structural equation models to a sample of 921 patients with schizophrenia collected in a nationwide Italian study, with the aim to identify, among a large set of personal resources, those that may have an association with symptom severity or psychosocial functioning. Several relevant demographic and clinical variables were considered concurrently. Poor service engagement and poor recovery style, as well as older age and younger age at onset, were related to greater symptom severity and poorer social functioning. Higher resilience and higher education were related to better social functioning only. Poor problem-focused coping and internalized stigma, as well as male gender and depression, were related to symptom severity only. The explored variables showed distinctive and partially independent associations with symptom severity and psychosocial functioning. A deeper understanding of these relationships may inform treatment decisions.
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14
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Dragioti E, Wiklund T, Siamouli M, Moutou K, Fountoulakis KN. Could PANSS be a useful tool in the determining of the stages of schizophrenia? A clinically operational approach. J Psychiatr Res 2017; 86:66-72. [PMID: 27940386 DOI: 10.1016/j.jpsychires.2016.11.013] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2016] [Revised: 10/31/2016] [Accepted: 11/28/2016] [Indexed: 11/19/2022]
Abstract
Staging in schizophrenia might be an important approach for the better treatment and rehabilitation of patients. The purpose of this study was to empirically devise a staging approach in a sample of stabilized patients with schizophrenia. One hundred and seventy patients aged ≥18 years (mean = 40.7, SD = 11.6) diagnosed by DSM-5 criteria were evaluated with the Positive and Negative Syndrome Scale (PANSS). Principal components analysis (PCA) with varimax rotation was used. The model was examined in the total sample and separately across a hypothesized stage of illness based on three age groups and between the two sexes. The PCA revealed a six factor structure for the total sample: 1) Negative, 2) Positive, 3) Depression and anxiety, 4) Excitement and Hostility, 5) Neurocognition and 6) Disorganization. The separate PCAs by stage of illness and sex revealed different patterns and quality of symptomatology. The Negative and Positive factors were stable across all examined groups. The models corresponding to different stages differed mainly in terms of neurocognition and disorganization and their interplay. Catatonic features appear more prominent in males while in females neurocognition takes two forms; one with disorganization and one with stereotype thinking with delusions. This study suggests that the three arbitrary defined stages of illness (on the basis of age) seem to reflect a progress from a preserved insight and more coherent mental functioning to disorganization and eventually neurocognitive impairment. Sexes differ in terms of the relationship of psychotic features with neurocognition. These results might have significant research and clinical implications.
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Affiliation(s)
- Elena Dragioti
- Pain and Rehabilitation Centre, and Rehabilitation Medicine, Department of Medical and Health Sciences, Faculty of Health Sciences, Linköping University, SE-581 85, Linköping, Sweden.
| | - Tobias Wiklund
- Pain and Rehabilitation Centre, and Rehabilitation Medicine, Department of Medical and Health Sciences, Faculty of Health Sciences, Linköping University, SE-581 85, Linköping, Sweden
| | - Melina Siamouli
- 3rd Department of Psychiatry, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Katerina Moutou
- 3rd Department of Psychiatry, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Konstantinos N Fountoulakis
- 3rd Department of Psychiatry, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
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15
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Abstract
While the influence of negative symptoms on vocational outcome is well documented, the specific contribution of apathy is less explored. The current study examined the influence of apathy on vocational outcome. A total of 148 participants were included in a vocational rehabilitation study, offering cognitive remediation (CR) or cognitive behavior therapy (CBT) to address work-related issues. Clinical and functional measures were assessed on inclusion and at posttreatment after approximately 10 months. The level of apathy was not related to the acquisition of work, but higher levels of apathy predicted fewer hours worked per week during the study. Previous employment predicted future employment, and higher education predicted more hours worked and higher score on the Work Behavior Inventory. The results did not differ across interventions. Thus, despite apathy, people with schizophrenia were able to work when the barriers to employment were addressed and adequate support was given.
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16
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Rocca P, Montemagni C, Mingrone C, Crivelli B, Sigaudo M, Bogetto F. A cluster-analytical approach toward real-world outcome in outpatients with stable schizophrenia. Eur Psychiatry 2016; 32:48-54. [PMID: 26803615 DOI: 10.1016/j.eurpsy.2015.11.007] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2015] [Revised: 11/25/2015] [Accepted: 11/27/2015] [Indexed: 10/22/2022] Open
Abstract
BACKGROUND This study aims to empirically identify profiles of functioning, and the correlates of those profiles in a sample of patients with stable schizophrenia in a real-world setting. The second aim was to assess factors associated with best profile membership. METHODS Three hundred and twenty-three outpatients were enrolled in a cross-sectional study. A two-step cluster analysis was used to define groups of patients by using baseline values for the Heinrichs-Carpenter Quality of Life Scale (QLS) total score. Logistic regression was used to construct models of class membership. RESULTS Our study identified three distinct clusters: 50.4% of patients were classified in the "moderate" cluster, 27.9% in the "poor" cluster, 21.7% in the "good" cluster. Membership in the "good" cluster versus the "poor" cluster was characterized by less severe negative (OR=.832) and depressive symptoms (OR=.848), being employed (OR=2.414), having a long-term relationship (OR=.256), and treatment with second-generation antipsychotics (SGAs) (OR=3.831). Nagelkerke R(2) for this model was .777. CONCLUSIONS Understanding which factors are associated with better outcomes may direct specific and additional therapeutic interventions, such as treatment with SGAs and supported employment, in order to enhance benefits for patients, as well as to improve the delivery of care in the community.
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Affiliation(s)
- P Rocca
- Department of Neuroscience, University of Turin, Struttura Semplice di Coordinamento a Valenza Dipartimentale (SSCVD), Department of Mental Health ASL TO1-A.O.U. Città della Salute e della Scienza di Torino, Torino, Italy.
| | - C Montemagni
- Department of Neuroscience, University of Turin, Struttura Semplice di Coordinamento a Valenza Dipartimentale (SSCVD), Department of Mental Health ASL TO1-A.O.U. Città della Salute e della Scienza di Torino, Torino, Italy
| | - C Mingrone
- Department of Neuroscience, University of Turin, Struttura Semplice di Coordinamento a Valenza Dipartimentale (SSCVD), Department of Mental Health ASL TO1-A.O.U. Città della Salute e della Scienza di Torino, Torino, Italy
| | - B Crivelli
- Department of Neuroscience, University of Turin, Struttura Semplice di Coordinamento a Valenza Dipartimentale (SSCVD), Department of Mental Health ASL TO1-A.O.U. Città della Salute e della Scienza di Torino, Torino, Italy
| | - M Sigaudo
- Department of Neuroscience, University of Turin, Struttura Semplice di Coordinamento a Valenza Dipartimentale (SSCVD), Department of Mental Health ASL TO1-A.O.U. Città della Salute e della Scienza di Torino, Torino, Italy
| | - F Bogetto
- Department of Neuroscience, University of Turin, Struttura Semplice di Coordinamento a Valenza Dipartimentale (SSCVD), Department of Mental Health ASL TO1-A.O.U. Città della Salute e della Scienza di Torino, Torino, Italy
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Decrease of functioning in remitted and non-remitted patients 16 years after a first-episode schizophrenia. J Nerv Ment Dis 2015; 203:406-11. [PMID: 25974058 DOI: 10.1097/nmd.0000000000000299] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
In schizophrenia, a better level of functioning has been generally associated with symptomatic remission. However, this association has been supported by cross-sectional studies or by studies with a short follow-up period. Forty-eight patients with schizophrenia were evaluated by the Positive and Negative Symptoms Scale and the Social and Occupational Functioning Assessment Scale (SOFAS) at the first episode and after a mean period of 16 years. At follow-up, patients were defined as remitters (R) or non-remitters (NR) according to the Remission Schizophrenia Working Group criteria. R (n = 18; 37.5%) compared to NR showed at the first episode a lower illness severity and a better level of functioning. A functional decline was found in both groups at follow-up, even though NR showed a more than twofold reduction than R. Better SOFAS scores at follow-up were predicted by baseline SOFAS score and less severe negative symptoms at follow-up. Schizophrenia implies a functional decline over time, regardless of the symptomatic remission status with negative symptoms playing a major role.
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Chue P, Lalonde JK. Addressing the unmet needs of patients with persistent negative symptoms of schizophrenia: emerging pharmacological treatment options. Neuropsychiatr Dis Treat 2014; 10:777-89. [PMID: 24855363 PMCID: PMC4020880 DOI: 10.2147/ndt.s43404] [Citation(s) in RCA: 64] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
The negative symptoms of schizophrenia represent an impairment of normal emotional responses, thought processes and behaviors, and include blunting or flattening of affect, alogia/aprosody, avolition/apathy, anhedonia, and asociality. Negative symptoms contribute to a reduced quality of life, increased functional disability, increased burden of illness, and poorer long-term outcomes, to a greater degree than positive symptoms. Primary negative symptoms are prominent and persistent in up to 26% of patients with schizophrenia, and they are estimated to occur in up to 58% of outpatients at any given time. Negative symptoms respond less well to medications than positive symptoms, and to date treatment options for negative symptoms have been limited, with no accepted standard treatment. Modest benefits have been reported with a variety of different agents, including second-generation antipsychotics and add-on therapy with antidepressants and other pharmacological classes. Recent clinical research focusing on negative symptoms target novel biological systems, such as glutamatergic neurotransmission. Different approaches include: enhancing N-methyl-D-aspartate receptor function with agents that bind directly to the glycine ligand site or with glycine reuptake inhibitors; influencing the metabotropic glutamate receptor (mGluR2/3) with positive allosteric modulators; and stimulating nicotinic acetylcholine receptors. In conclusion, the lack of clearly efficacious pharmacological treatments for the management of negative symptoms represents a significant unmet need, especially considering the importance of these symptoms on patient outcomes. Hence, further research to identify and characterize novel pharmacological treatments for negative symptoms is greatly needed.
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Affiliation(s)
- Pierre Chue
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada
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19
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Ceccarini J, De Hert M, Van Winkel R, Peuskens J, Bormans G, Kranaster L, Enning F, Koethe D, Leweke FM, Van Laere K. Increased ventral striatal CB1 receptor binding is related to negative symptoms in drug-free patients with schizophrenia. Neuroimage 2013; 79:304-12. [DOI: 10.1016/j.neuroimage.2013.04.052] [Citation(s) in RCA: 87] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2012] [Revised: 03/26/2013] [Accepted: 04/15/2013] [Indexed: 11/16/2022] Open
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Boyer L, Richieri R, Guedj E, Faget-Agius C, Loundou A, Llorca PM, Auquier P, Lançon C. Validation of a functional remission threshold for the Functional Remission of General Schizophrenia (FROGS) scale. Compr Psychiatry 2013; 54:1016-22. [PMID: 23731897 DOI: 10.1016/j.comppsych.2013.04.008] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2013] [Revised: 04/12/2013] [Accepted: 04/17/2013] [Indexed: 10/26/2022] Open
Abstract
OBJECTIVE The aim of this study was to develop a functional remission threshold for the Functional Remission Of General Schizophrenia (FROGS) scale, and test its validity regarding clinical and quality of life outcomes. DESIGN Cross-sectional study. INCLUSION CRITERIA Schizophrenia according to DSM-IV-TR criteria. DATA COLLECTION Functioning was assessed using the FROGS and the Global Assessment of Functioning (GAF) scales; psychotic symptoms using the Positive and Negative Syndrome Scale; memory, attention, and executive functions were assessed using the California Verbal Learning Test, the D2 attention task, the Stroop color-word test, the verbal fluency test, the Trail Making Test A and B and the Wechsler Adult Intelligence Scale; and quality of life using the schizophrenia quality of life (S-QoL 18) scale. ANALYSIS A logistic regression analysis including the different dimensions of the FROGS was used to create a composite score to classify patients into remitted and non-remitted according a gold standard (cut-off: GAF>= 61). Receiver operating characteristics analyses were then performed to determine the area under the curve (AUC). RESULTS Of 137 patients enrolled, 26 were functionally remitted and 111 were not remitted according to GAF score. The AUC for the combination of the FROGS's dimensions to detect functional remission was 0.903 (p<0.001). Sensitivity and specificity for the combination of the FROGS dimensions using the Youden index were 88.5 [69.8; 97.6] and 81.1 [72.5; 87.9], respectively. Validity of this combination was satisfactory. Patients in functional remission had a lower severity of the disease, especially for PANSS negative (p<0.001) and general psychopathology (p<0.001) symptoms. Only two cognitive functions (i.e. fluency and episodic memory) were improved in remitted patients. Higher quality of life levels were globally associated with better functioning. CONCLUSIONS These findings provide for first accurate FROGS thresholds to detect functional remission in schizophrenia.
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Affiliation(s)
- Laurent Boyer
- Aix-Marseille Univ, EA 3279-Public Health, Chronic Diseases and Quality of Life-Research Unit, 13005 Marseille, France.
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Ascher-Svanum H, Novick D, Haro JM, Aguado J, Cui Z. Empirically driven definitions of "good," "moderate," and "poor" levels of functioning in the treatment of schizophrenia. Qual Life Res 2012; 22:2085-94. [PMID: 23239123 PMCID: PMC3825592 DOI: 10.1007/s11136-012-0335-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/03/2012] [Indexed: 01/22/2023]
Abstract
Purpose This study used an empirical approach to identify and validate the classification of patients with schizophrenia in “good,” “moderate,” or “poor” functioning groups based on the assessment of functional measures. Methods Using data from a study of schizophrenia outpatients, patients were classified into functional groups using cluster analysis based on the Heinrich–Carpenter Quality of Life Scale (QLS), the 36-item Short-Form Health Survey (SF-36) Mental Component Summary Score, and a productivity measure. A three-cluster solution was chosen. Concurrent, convergent, and discriminant validity were assessed. Criteria for classifying patient functioning as “good,” “moderate,” or “poor” were established using classification and regression tree analysis. Results The three clusters consistently differentiated patients on the QLS, SF-36 Mental Component Summary Score, and productivity measure. The clusters also differed on other functional measures and were concordant with previous functional classifications. Concurrent, convergent, and discriminant validity were good. “Good” functioning was identified as a QLS total score ≥84.5; “moderate” and “poor” functioning were separated by a cutoff score of 15.5 on the QLS intrapsychic foundation domain. Sensitivity ranged from 86 to 93 % and specificity from 89 to 99 %. Conclusions The heterogeneity in functioning of schizophrenia patients can be classified reliably in an empirical manner using specific cutoff scores on commonly used functional measures.
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Affiliation(s)
- Haya Ascher-Svanum
- Lilly Research Laboratories, US Outcomes Research, Eli Lilly and Company, Lilly Corporate Center, Indianapolis, IN, 46285, USA,
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Wallwork RS, Fortgang R, Hashimoto R, Weinberger DR, Dickinson D. Searching for a consensus five-factor model of the Positive and Negative Syndrome Scale for schizophrenia. Schizophr Res 2012; 137:246-50. [PMID: 22356801 PMCID: PMC3351536 DOI: 10.1016/j.schres.2012.01.031] [Citation(s) in RCA: 600] [Impact Index Per Article: 50.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2011] [Revised: 01/20/2012] [Accepted: 01/24/2012] [Indexed: 11/28/2022]
Abstract
Although the developers of the Positive and Negative Syndrome Scale (PANSS) grouped items into three subscales, factor analyses indicate that a five-factor model better characterizes PANSS data. However, lack of consensus on which model to use limits the comparability of PANSS variables across studies. We counted "votes" from published factor analyses to derive consensus models. One of these combined superior fit in our Caucasian sample (n=458, CFI=.970), and in distinct Japanese sample (n=164, CFI=.964), relative to the original three-subscale model, with a sorting of items into factors that was highly consistent across the studies reviewed.
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Affiliation(s)
- R. S. Wallwork
- Clinical Brain Disorders Branch, National Institute of Mental Health, NIH, Bethesda, MD, USA
| | - R. Fortgang
- Clinical Brain Disorders Branch, National Institute of Mental Health, NIH, Bethesda, MD, USA
| | - R. Hashimoto
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan; Core Research for Evolutionary Science and Technology (CREST) of Japan Science and Technology Agency (JST), Saitama, Japan
| | - D. R. Weinberger
- Clinical Brain Disorders Branch, National Institute of Mental Health, NIH, Bethesda, MD, USA,Lieber Institute for Brain Development, Johns Hopkins Medical Center, Baltimore, MD. USA
| | - D. Dickinson
- Clinical Brain Disorders Branch, National Institute of Mental Health, NIH, Bethesda, MD, USA,Corresponding Author: Dwight Dickinson, PhD., National Institute of Mental Health, NIH, 10 Center Drive, Bldg. 10, Rm. 7SE-5335, Bethesda, Maryland, USA 20892-1377 Tel: (+1) 301 451 2123 Fax: (+1) 301 480 4678
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