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Woods SW, Parker S, Kerr MJ, Walsh BC, Wijtenburg SA, Prunier N, Nunez AR, Buccilli K, Mourgues-Codern C, Brummitt K, Kinney KS, Trankler C, Szacilo J, Colton BL, Ali M, Haidar A, Billah T, Huynh K, Ahmed U, Adery LL, Marcy PJ, Allott K, Amminger P, Arango C, Broome MR, Cadenhead KS, Chen EY, Choi J, Conus P, Cornblatt BA, Glenthøj LB, Horton LE, Kambeitz J, Kapur T, Keshavan MS, Koutsouleris N, Langbein K, Lavoie S, Diaz-Caneja CM, Mathalon DH, Mittal VA, Nordentoft M, Pasternak O, Pearlson GD, Ramos PAG, Shah JL, Smesny S, Stone WS, Strauss GP, Wang J, Corcoran CM, Perkins DO, Schiffman J, Perez J, Mamah D, Ellman LM, Powers AR, Coleman MJ, Anticevic A, Fusar-Poli P, Kane JM, Kahn RS, McGorry PD, Bearden CE, Shenton ME, Nelson B, Calkins ME, Hendricks L, Bouix S, Addington J, McGlashan TH, Yung AR. Development of the PSYCHS: Positive SYmptoms and Diagnostic Criteria for the CAARMS Harmonized with the SIPS. Early Interv Psychiatry 2024; 18:255-272. [PMID: 37641537 PMCID: PMC10899527 DOI: 10.1111/eip.13457] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 06/28/2023] [Accepted: 07/03/2023] [Indexed: 08/31/2023]
Abstract
AIM To harmonize two ascertainment and severity rating instruments commonly used for the clinical high risk syndrome for psychosis (CHR-P): the Structured Interview for Psychosis-risk Syndromes (SIPS) and the Comprehensive Assessment of At-Risk Mental States (CAARMS). METHODS The initial workshop is described in the companion report from Addington et al. After the workshop, lead experts for each instrument continued harmonizing attenuated positive symptoms and criteria for psychosis and CHR-P through an intensive series of joint videoconferences. RESULTS Full harmonization was achieved for attenuated positive symptom ratings and psychosis criteria, and modest harmonization for CHR-P criteria. The semi-structured interview, named Positive SYmptoms and Diagnostic Criteria for the CAARMS Harmonized with the SIPS (PSYCHS), generates CHR-P criteria and severity scores for both CAARMS and SIPS. CONCLUSIONS Using the PSYCHS for CHR-P ascertainment, conversion determination, and attenuated positive symptom severity rating will help in comparing findings across studies and in meta-analyses.
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Affiliation(s)
- Scott W. Woods
- Department of Psychiatry, Yale University School of Medicine, New Haven CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Sophie Parker
- Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Manchester, UK
- Youth Mental Health Research Unit, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Melissa J. Kerr
- Orygen, Parkville, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Barbara C. Walsh
- Department of Psychiatry, Yale University School of Medicine, New Haven CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - S. Andrea Wijtenburg
- Division of Translational Research, National Institute of Mental Health, Bethesda, MD, USA
| | - Nicholas Prunier
- Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Angela R. Nunez
- Department of Psychiatry, Yale University School of Medicine, New Haven CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Kate Buccilli
- Orygen, Parkville, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Catalina Mourgues-Codern
- Department of Psychiatry, Yale University School of Medicine, New Haven CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Kali Brummitt
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB Canada
| | - Kyle S. Kinney
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Carli Trankler
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Julia Szacilo
- CAMEO, Early Intervention in Psychosis Service, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - Beau-Luke Colton
- Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Manchester, UK
| | - Munaza Ali
- Department of Psychiatry, Yale University School of Medicine, New Haven CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Anastasia Haidar
- Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Tashrif Billah
- Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Kevin Huynh
- Orygen, Parkville, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Uzair Ahmed
- Orygen, Parkville, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Laura L. Adery
- Departments of Psychiatry and Biobehavioral Sciences & Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | | | - Kelly Allott
- Orygen, Parkville, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Paul Amminger
- Orygen, Parkville, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CIBERSAM, ISCIII, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Matthew R. Broome
- Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, UK
- Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham, UK
| | | | | | - Jimmy Choi
- Olin Neuropsychiatry Research Center, Hartford HealthCare Behavioral Health Network, Hartford, CT, USA
| | - Philippe Conus
- Chef de Service Service de Psychiatrie Générale Dép. de Psychiatrie CHUV Lausanne, Switzerland
| | - Barbara A. Cornblatt
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine, Hempstead, NY, USA
- Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Louise Birkedal Glenthøj
- Copenhagen Research Centre for Mental Health, Mental Health Copenhagen, University of Copenhagen, Denmark
| | - Leslie E. Horton
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Joseph Kambeitz
- University of Cologne, Faculty of Medicine and University Hospital of Cologne, Cologne, Germany
| | - Tina Kapur
- Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Germany
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, UK
| | - Kerstin Langbein
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Suzie Lavoie
- Orygen, Parkville, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Covadonga Martinez Diaz-Caneja
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CIBERSAM, ISCIII, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Daniel H. Mathalon
- Department of Psychiatry and Behavioral Sciences and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Mental Health Service 116D, Veterans Affairs San Francisco Health Care System, San Francisco, CA, USA
| | - Vijay A. Mittal
- Department of Psychology, Northwestern University, Chicago, IL, USA
| | - Merete Nordentoft
- Mental Health Services in the Capital Region, Copenhagen, Denmark
- Department of Clinical Medicine, Copenhagen University Hospital, Copenhagen, Denmark
| | - Ofer Pasternak
- Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Godfrey D. Pearlson
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | | | - Jai L. Shah
- PEPP-Montreal, Douglas Research Centre, Montreal, Quebec, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Stefan Smesny
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - William S. Stone
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | | | - Jijun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Cheryl M. Corcoran
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Diana O. Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Jason Schiffman
- Department of Psychological Science, University of California, Irvine, CA, USA
| | - Jesus Perez
- CAMEO, Early Intervention in Psychosis Service, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
- Institute of Biomedical Research (IBSAL), Department of Medicine, Universidad de Salamanca, Salamanca, Spain
| | - Daniel Mamah
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB Canada
| | - Lauren M. Ellman
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Albert R. Powers
- Department of Psychiatry, Yale University School of Medicine, New Haven CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Michael J. Coleman
- Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Alan Anticevic
- Department of Psychiatry, Yale University School of Medicine, New Haven CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Paolo Fusar-Poli
- Department of Psychosis Studies, King’s College London, UK
- Department of Brain and Behavioral Sciences, University of Pavia, Italy
| | - John M. Kane
- Feinstein Institute for Medical Research, Manhasset, NY, USA
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine, Hempstead, NY, USA
| | - Rene S. Kahn
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Patrick D. McGorry
- Orygen, Parkville, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Carrie E. Bearden
- Departments of Psychiatry and Biobehavioral Sciences & Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Martha E. Shenton
- Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Barnaby Nelson
- Orygen, Parkville, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Monica E. Calkins
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA
| | - Larry Hendricks
- Orygen, Parkville, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Sylvain Bouix
- Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Software Engineering and Information Technology, École de Technologie Supérieure, Université du Québec, Montréal, QC, Canada
| | - Jean Addington
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB Canada
| | - Thomas H. McGlashan
- Department of Psychiatry, Yale University School of Medicine, New Haven CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Alison R. Yung
- Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Manchester, UK
- Youth Mental Health Research Unit, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
- Orygen, Parkville, Victoria, Australia
- Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Australia
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2
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Woods SW, Parker S, Kerr MJ, Walsh BC, Wijtenburg SA, Prunier N, Nunez AR, Buccilli K, Mourgues-Codern C, Brummitt K, Kinney KS, Trankler C, Szacilo J, Colton BL, Ali M, Haidar A, Billah T, Huynh K, Ahmed U, Adery LL, Corcoran CM, Perkins DO, Schiffman J, Perez J, Mamah D, Ellman LM, Powers AR, Coleman MJ, Anticevic A, Fusar-Poli P, Kane JM, Kahn RS, McGorry PD, Bearden CE, Shenton ME, Nelson B, Calkins ME, Hendricks L, Bouix S, Addington J, McGlashan TH, Yung AR. Development of the PSYCHS: Positive SYmptoms and Diagnostic Criteria for the CAARMS Harmonized with the SIPS. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.29.23289226. [PMID: 37205422 PMCID: PMC10187348 DOI: 10.1101/2023.04.29.23289226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Aim To harmonize two ascertainment and severity rating instruments commonly used for the clinical high risk syndrome for psychosis (CHR-P): the Structured Interview for Psychosis-risk Syndromes (SIPS) and the Comprehensive Assessment of At-Risk Mental States (CAARMS). Methods The initial workshop is described in the companion report from Addington et al. After the workshop, lead experts for each instrument continued harmonizing attenuated positive symptoms and criteria for psychosis and CHR-P through an intensive series of joint videoconferences. Results Full harmonization was achieved for attenuated positive symptom ratings and psychosis criteria, and partial harmonization for CHR-P criteria. The semi-structured interview, named P ositive SY mptoms and Diagnostic Criteria for the C AARMS H armonized with the S IPS (PSYCHS), generates CHR-P criteria and severity scores for both CAARMS and SIPS. Conclusion Using the PSYCHS for CHR-P ascertainment, conversion determination, and attenuated positive symptom severity rating will help in comparing findings across studies and in meta-analyses.
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Affiliation(s)
- Scott W. Woods
- Department of Psychiatry, Yale University School of Medicine, New Haven CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Sophie Parker
- Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Manchester, UK
- Youth Mental Health Research Unit, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Melissa J. Kerr
- Orygen, Parkville, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Barbara C. Walsh
- Department of Psychiatry, Yale University School of Medicine, New Haven CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - S. Andrea Wijtenburg
- Division of Translational Research, National Institute of Mental Health, Bethesda, MD, USA
| | - Nicholas Prunier
- Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Angela R. Nunez
- Department of Psychiatry, Yale University School of Medicine, New Haven CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Kate Buccilli
- Orygen, Parkville, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Catalina Mourgues-Codern
- Department of Psychiatry, Yale University School of Medicine, New Haven CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Kali Brummitt
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB Canada
| | - Kyle S. Kinney
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Carli Trankler
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Julia Szacilo
- CAMEO, Early Intervention in Psychosis Service, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - Beau-Luke Colton
- Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Manchester, UK
| | - Munaza Ali
- Department of Psychiatry, Yale University School of Medicine, New Haven CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Anastasia Haidar
- Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Tashrif Billah
- Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Kevin Huynh
- Orygen, Parkville, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Uzair Ahmed
- Orygen, Parkville, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Laura L. Adery
- Departments of Psychiatry and Biobehavioral Sciences & Psychology, University of California, Los Angeles, CA, USA
| | - Cheryl M. Corcoran
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Diana O. Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Jason Schiffman
- Department of Psychological Science, University of California, Irvine, CA, USA
| | - Jesus Perez
- CAMEO, Early Intervention in Psychosis Service, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
- Institute of Biomedical Research (IBSAL), Department of Medicine, Universidad de Salamanca, Salamanca, Spain
| | - Daniel Mamah
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB Canada
| | - Lauren M. Ellman
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Albert R. Powers
- Department of Psychiatry, Yale University School of Medicine, New Haven CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Michael J. Coleman
- Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Alan Anticevic
- Department of Psychiatry, Yale University School of Medicine, New Haven CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Paolo Fusar-Poli
- Department of Psychosis Studies, King’s College London, UK
- Department of Brain and Behavioral Sciences, University of Pavia, Italy
| | - John M. Kane
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine, Hempstead, NY, USA
- Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Rene S. Kahn
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Patrick D. McGorry
- Orygen, Parkville, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Carrie E. Bearden
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Martha E. Shenton
- Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Barnaby Nelson
- Orygen, Parkville, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Monica E. Calkins
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA
| | - Larry Hendricks
- Orygen, Parkville, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Sylvain Bouix
- Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Software Engineering and Information Technology, École de Technologie Supérieure, Université du Québec, Montréal, QC, Canada
| | - Jean Addington
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB Canada
| | - Thomas H. McGlashan
- Department of Psychiatry, Yale University School of Medicine, New Haven CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Alison R. Yung
- Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Manchester, UK
- Youth Mental Health Research Unit, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
- Orygen, Parkville, Victoria, Australia
- Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Australia
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Raballo A, Poletti M, Preti A. The temporal dynamics of transition to psychosis in individuals at clinical high-risk (CHR-P) shows negative prognostic effects of baseline antipsychotic exposure: a meta-analysis. Transl Psychiatry 2023; 13:112. [PMID: 37019886 PMCID: PMC10076303 DOI: 10.1038/s41398-023-02405-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 03/15/2023] [Accepted: 03/20/2023] [Indexed: 04/07/2023] Open
Abstract
Meta-analytic evidence indicates that baseline exposure to antipsychotics (AP) in individuals at clinical high-risk for psychosis (CHR-P) is associated with an even higher risk of transition to psychosis. However, the temporal dynamics of such prognostic effect have not been clarified yet. This study was therefore designed to address this knowledge gap. We performed a systematic review and meta-analysis of all longitudinal studies published up to 31 December 2021 on CHR-P individuals identified according to a validated diagnostic procedure and reporting numeric data of transition to psychosis according to baseline antipsychotic exposure. 28 studies covering a total of 2405 CHR-P were included. 554 (23.0%) were exposed to AP at baseline, whereas 1851 (77.0%) were not. At follow-up (12 to 72 months), 182 individuals among AP-exposed (32.9%; 95% CI: 29.4% to 37.8%) and 382 among AP-naive CHR-P (20.6%; 18.8% to 22.8%) developed psychosis. Transition rates increased over time, with the best-fit for an ascending curve peaking at 24 months and reaching then a plateau, with a further increase at 48 months. Baseline AP-exposed CHR-P had higher transition risk at 12 months and then again at 36 and 48 months, with an overall higher risk of transition (fixed-effect model: risk ratio = 1.56 [95% CI: 1.32-1.85]; z = 5.32; p < 0.0001; Random-effect model: risk ratio = 1.56 [95% CI: 1.07-2.26]; z = 2.54; p = 0.0196). In conclusion, the temporal dynamics of transition to psychosis differ in AP-exposed vs. AP-naive CHR-P. Baseline AP exposure in CHR-P is associated with a persistently higher risk of transition at follow up, supporting the rationale for more stringent clinical monitoring in AP-exposed CHR-P. The insufficiency of more granular information in available primary literature (e.g., temporal and quantitative details of AP exposure as well as psychopathological dimensions in CHR-P) did not allow the testing of causal hypotheses on this negative prognostic association.
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Affiliation(s)
- Andrea Raballo
- Chair of Psychiatry, Faculty of Biomedical Sciences, Università della Svizzera Italiana (USI), Lugano, Switzerland
- Cantonal Socio-psychiatric Organization (OSC), Public Health Division, Department of Health and Social Care, Repubblica e Cantone Ticino, Mendrisio, Switzerland
| | - Michele Poletti
- Department of Mental Health and Pathological Addiction, Child and Adolescent Neuropsychiatry Service, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
| | - Antonio Preti
- Department of Neuroscience, University of Turin, Turin, Italy
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Lee TY, Hwang WJ, Kim NS, Park I, Lho SK, Moon SY, Oh S, Lee J, Kim M, Woo CW, Kwon JS. Prediction of psychosis: model development and internal validation of a personalized risk calculator. Psychol Med 2022; 52:2632-2640. [PMID: 33315005 PMCID: PMC9647536 DOI: 10.1017/s0033291720004675] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Revised: 11/04/2020] [Accepted: 11/11/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND Over the past two decades, early detection and early intervention in psychosis have become essential goals of psychiatry. However, clinical impressions are insufficient for predicting psychosis outcomes in clinical high-risk (CHR) individuals; a more rigorous and objective model is needed. This study aims to develop and internally validate a model for predicting the transition to psychosis within 10 years. METHODS Two hundred and eight help-seeking individuals who fulfilled the CHR criteria were enrolled from the prospective, naturalistic cohort program for CHR at the Seoul Youth Clinic (SYC). The least absolute shrinkage and selection operator (LASSO)-penalized Cox regression was used to develop a predictive model for a psychotic transition. We performed k-means clustering and survival analysis to stratify the risk of psychosis. RESULTS The predictive model, which includes clinical and cognitive variables, identified the following six baseline variables as important predictors: 1-year percentage decrease in the Global Assessment of Functioning score, IQ, California Verbal Learning Test score, Strange Stories test score, and scores in two domains of the Social Functioning Scale. The predictive model showed a cross-validated Harrell's C-index of 0.78 and identified three subclusters with significantly different risk levels. CONCLUSIONS Overall, our predictive model showed a predictive ability and could facilitate a personalized therapeutic approach to different risks in high-risk individuals.
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Affiliation(s)
- Tae Young Lee
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Psychiatry, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - Wu Jeong Hwang
- Department of Brain and Cognitive Neuroscience, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea
| | - Nahrie S. Kim
- Department of Psychiatry, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
- Department of Brain and Cognitive Neuroscience, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea
| | - Inkyung Park
- Department of Brain and Cognitive Neuroscience, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea
| | - Silvia Kyungjin Lho
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Sun-Young Moon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Sanghoon Oh
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Junhee Lee
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Minah Kim
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Choong-Wan Woo
- Department of Brain and Cognitive Neuroscience, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea
| | - Jun Soo Kwon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Brain and Cognitive Neuroscience, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea
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Estradé A, Salazar de Pablo G, Zanotti A, Wood S, Fisher HL, Fusar-Poli P. Public health primary prevention implemented by clinical high-risk services for psychosis. Transl Psychiatry 2022; 12:43. [PMID: 35091529 PMCID: PMC8799684 DOI: 10.1038/s41398-022-01805-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 01/08/2022] [Accepted: 01/14/2022] [Indexed: 02/06/2023] Open
Abstract
Clinical High Risk for Psychosis (CHR-P) services have been primarily developed to support young people with attenuated symptoms (indicated prevention). No evidence-based appraisal has systematically investigated to what extent these clinics may implement other preventive approaches. PRISMA 2020-compliant systematic review of Web of Science, Cochrane Central Register of Reviews, and Ovid/PsychINFO, from inception until 14th June 2021, identifying original studies describing public health strategies: (a) service characteristics (configuration of mental health service, outreach, pathways to care); (b) universal interventions (general population); (c) selective interventions targeting CHR-P service-users or family/carers. Public health preventive initiatives were systematically stratified according to core social determinants of mental disorders associated with the 2030 Sustainable Development Goals promoted by the United Nations Member States (UN 2030 SDG) and good mental health outcomes. A total of 66 publications were included, providing data on 13 standalone, 40 integrated, three networks, and six regional or international surveys of CHR-P services across Europe, Asia, Oceania, Africa, North and South America, providing care to >28 M people. CHR-P services implement numerous public health initiatives targeting social and cultural (16 initiatives), economic (seven initiatives), demographic (six initiatives), environmental events (four initiatives) and neighbourhood (three initiatives) UN 2030 SGD determinants of mental disorders. There is additional evidence for CHR-P services promoting good mental health. The main barriers were the lack of resources for expanding public health prevention at a large scale. CHR-P services implement numerous public health prevention initiatives and promotion of good mental health beyond indicated prevention of psychosis.
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Affiliation(s)
- Andrés Estradé
- grid.13097.3c0000 0001 2322 6764Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Gonzalo Salazar de Pablo
- grid.13097.3c0000 0001 2322 6764Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK ,grid.410526.40000 0001 0277 7938Institute of Psychiatry and Mental Health, Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CIBERSAM, Madrid, Spain ,grid.37640.360000 0000 9439 0839Child and Adolescent Mental Health Services, South London and Maudsley NHS Foundation Trust, London, UK
| | - Alice Zanotti
- grid.8982.b0000 0004 1762 5736Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Scott Wood
- grid.47100.320000000419368710Yale School of Medicine, Yale University, New Heaven, CT USA
| | - Helen L. Fisher
- grid.13097.3c0000 0001 2322 6764King’s College London, Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, London, UK ,grid.13097.3c0000 0001 2322 6764Economic & Social Research Council (ESRC) Centre for Society and Mental Health, King’s College London, London, UK
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK. .,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy. .,National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK. .,OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK.
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Association between formal thought disorders, neurocognition and functioning in the early stages of psychosis: a systematic review of the last half-century studies. Eur Arch Psychiatry Clin Neurosci 2022; 272:381-393. [PMID: 34263359 PMCID: PMC8938342 DOI: 10.1007/s00406-021-01295-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Accepted: 07/04/2021] [Indexed: 12/18/2022]
Abstract
Recent review articles provided an extensive collection of studies covering many aspects of format thought disorders (FTD) among their epidemiology and phenomenology, their neurobiological underpinnings, genetics as well as their transdiagnostic prevalence. However, less attention has been paid to the association of FTD with neurocognitive and functioning deficits in the early stages of evolving psychosis. Therefore, this systematic review aims to investigate the state of the art regarding the association between FTD, neurocognition and functioning in the early stages of evolving psychotic disorders in adolescents and young adults, by following the PRISMA flowchart. A total of 106 studies were screened. We included 8 studies due to their reports of associations between FTD measures and functioning outcomes measured with different scales and 7 studies due to their reports of associations between FTD measures and neurocognition. In summary, the main findings of the included studies for functioning outcomes showed that FTD severity predicted poor social functioning, unemployment, relapses, re-hospitalisations, whereas the main findings of the included studies for neurocognition showed correlations between attentional deficits, executive functions and FTD, and highlighted the predictive potential of executive dysfunctions for sustained FTD. Further studies in upcoming years taking advantage of the acceleration in computational psychiatry would allow researchers to re-investigate the clinical importance of FTD and their role in the transition from at-risk to full-blown psychosis conditions. Employing automated computer-assisted diagnostic tools in the early stages of psychosis might open new avenues to develop targeted neuropsychotherapeutics specific to FTD.
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Mutlu E, Abaoğlu H, Barışkın E, Gürel ŞC, Ertuğrul A, Yazıcı MK, Akı E, Yağcıoğlu AEA. The cognitive aspect of formal thought disorder and its relationship with global social functioning and the quality of life in schizophrenia. Soc Psychiatry Psychiatr Epidemiol 2021; 56:1399-1410. [PMID: 33458782 DOI: 10.1007/s00127-021-02024-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Accepted: 01/06/2021] [Indexed: 11/30/2022]
Abstract
PURPOSE It was expected that using a comprehensive scale like the Thought and Language Disorder Scale (TALD) for measurement of FTD would enable assessing its heterogeneity and its associations with cognitive impairment and functionality. This study has aimed to analyze the relationship between formal thought disorder (FTD) and cognitive functions, functionality, and quality of life in schizophrenia. METHODS This cross-sectional exploratory study included 46 clinical participants meeting the DSM-5 diagnostic criteria for schizophrenia and 35 healthy individuals as the control groups. Data were acquired by means of the Turkish language version of the TALD, the Positive and Negative Syndrome Scale, the Clinical Global Impression Scale, the Functioning Assessment Short Test, the Social Functioning Scale, the World Health Organization Quality of Life Instrument-Short Form, and a neuropsychological test battery on executive functions, working memory, verbal fluency, abstract thinking, and response inhibition. Correlation analyses were conducted to detect significant relationships. RESULTS The clinical group scored failures in all cognitive tests. The objective positive FTD was associated with deficits in executive functions and social functioning. The objective negative FTD was associated with poor performance in all cognitive domains, physical quality of life, and social and global functioning. The subjective negative FTD was negatively correlated with psychological quality of life. CONCLUSION This study demonstrated that objective FTD factors reflect different underlying cognitive deficits and correlate with different functioning domains. Significant correlation was determined between subjective negative FTD and psychological quality of life. Given the close relationship of FTD with functioning and quality of life, the FTD-related cognitive deficits should be the key treatment goal in schizophrenia.
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Affiliation(s)
- Emre Mutlu
- Department of Psychiatry, Faculty of Medicine, Hacettepe University, Ankara, Turkey. .,Psychiatry Clinic, Etimesgut Şehit Sait Ertürk State Hospital, Ankara, Turkey.
| | - Hatice Abaoğlu
- Department of Occupational Therapy, Faculty of Health Sciences, Hacettepe University, Ankara, Turkey
| | - Elif Barışkın
- Department of Psychiatry, Faculty of Medicine, Hacettepe University, Ankara, Turkey
| | - Ş Can Gürel
- Department of Psychiatry, Faculty of Medicine, Hacettepe University, Ankara, Turkey
| | - Aygün Ertuğrul
- Department of Psychiatry, Faculty of Medicine, Hacettepe University, Ankara, Turkey
| | - M Kazım Yazıcı
- Department of Psychiatry, Faculty of Medicine, Hacettepe University, Ankara, Turkey
| | - Esra Akı
- Department of Occupational Therapy, Faculty of Health Sciences, Hacettepe University, Ankara, Turkey
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8
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Raballo A, Poletti M, Preti A. Negative Prognostic Effect of Baseline Antipsychotic Exposure in Clinical High Risk for Psychosis (CHR-P): Is Pre-Test Risk Enrichment the Hidden Culprit? Int J Neuropsychopharmacol 2021; 24:710-720. [PMID: 34036323 PMCID: PMC8453273 DOI: 10.1093/ijnp/pyab030] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 04/19/2021] [Accepted: 05/21/2021] [Indexed: 12/22/2022] Open
Abstract
INTRODUCTION Sample enrichment is a key factor in contemporary early-detection strategies aimed at the identification of help-seekers at increased risk of imminent transition to psychosis. We undertook a meta-analytic investigation to ascertain the role of sample enrichment in the recently highlighted negative prognostic effect of baseline antipsychotic (AP) exposure in clinical high-risk (CHR-P) of psychosis individuals. METHODS Systematic review and meta-analysis of all published studies on CHR-P were identified according to a validated diagnostic procedure. The outcome was the proportion of transition to psychosis, which was calculated according to the Freeman-Tukey double arcsine transformation. RESULTS Thirty-three eligible studies were identified, including 16 samples with details on AP exposure at baseline and 17 samples with baseline AP exposure as exclusion criterion for enrollment. Those with baseline exposure to AP (n = 395) had higher transition rates (29.9%; 95% CI: 25.1%-34.8%) than those without baseline exposure to AP in the same study (n = 1289; 17.2%; 15.1%-19.4%) and those coming from samples that did not include people who were exposed to AP at baseline (n = 2073; 16.2%; 14.6%-17.8%; P < .05 in both the fixed-effects and the random-effects models). Heterogeneity within studies was substantial, with values above 75% in all comparisons. CONCLUSIONS Sample enrichment is not a plausible explanation for the higher risk of transition to psychosis of CHR-P individuals who were already exposed to AP at the enrollment in specialized early-detection programs. Baseline exposure to AP at CHR-P assessment is a major index of enhanced, imminent risk of psychosis.
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Affiliation(s)
- Andrea Raballo
- Section of Psychiatry, Clinical Psychology and Rehabilitation, Department of Medicine, University of Perugia, Perugia, Italy,Center for Translational, Phenomenological and Developmental Psychopathology (CTPDP), Perugia University Hospital, Perugia, Italy,Correspondence: Andrea Raballo, MD, PhD, Section of Psychiatry, Clinical Psychology and Rehabilitation, Department of Medicine, University of Perugia Piazzale Lucio Severi 1, 06132, Perugia, Italy ()
| | - Michele Poletti
- Department of Mental Health and Pathological Addiction, Child and Adolescent Neuropsychiatry Service, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Antonio Preti
- Department of Neuroscience, University of Turin, Turin, Italy
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Hamilton HK, Roach BJ, Mathalon DH. Forecasting Remission From the Psychosis Risk Syndrome With Mismatch Negativity and P300: Potentials and Pitfalls. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2021; 6:178-187. [PMID: 33431345 PMCID: PMC8128162 DOI: 10.1016/j.bpsc.2020.10.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2020] [Revised: 10/19/2020] [Accepted: 10/20/2020] [Indexed: 12/14/2022]
Abstract
Clinical outcomes vary for individuals at clinical high risk (CHR) for psychosis, ranging from conversion to a psychotic disorder to full remission from the risk syndrome. Given that most CHR individuals do not convert to psychosis, recent research efforts have turned toward identifying specific predictors of CHR remission, a task that is conceptually and empirically dissociable from the identification of predictors of conversion to psychosis, and one that may reveal specific biological characteristics that confer resilience to psychosis and provide further insights into the mechanisms associated with the pathogenesis of schizophrenia and those underlying a transient CHR syndrome. Such biomarkers may ultimately facilitate the development of novel early interventions and support the optimization of individualized care. In this review, we focus on two event-related brain potential measures, mismatch negativity and P300, that have attracted interest as predictors of future psychosis among CHR individuals. We describe several recent studies examining whether mismatch negativity and P300 predict subsequent CHR remission and suggest that intact mismatch negativity and P300 may reflect the integrity of specific neurocognitive processes that confer resilience against the persistence of the CHR syndrome and its associated risk for future transition to psychosis. We also highlight several major methodological concerns associated with these studies that apply to the broader literature examining predictors of CHR remission. Among them is the concern that studies that predict dichotomous remission versus nonremission and/or dichotomous conversion versus nonconversion outcomes potentially confound remission and conversion effects, a phenomenon we demonstrate with a data simulation.
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Affiliation(s)
- Holly K Hamilton
- San Francisco VA Health Care System, University of California San Francisco, San Francisco, California; Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, California.
| | - Brian J Roach
- San Francisco VA Health Care System, University of California San Francisco, San Francisco, California; Northern California Institute for Research and Education, San Francisco, California
| | - Daniel H Mathalon
- San Francisco VA Health Care System, University of California San Francisco, San Francisco, California; Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, California.
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Salazar de Pablo G, Estradé A, Cutroni M, Andlauer O, Fusar-Poli P. Establishing a clinical service to prevent psychosis: What, how and when? Systematic review. Transl Psychiatry 2021; 11:43. [PMID: 33441556 PMCID: PMC7807021 DOI: 10.1038/s41398-020-01165-x] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2020] [Revised: 11/27/2020] [Accepted: 12/03/2020] [Indexed: 01/29/2023] Open
Abstract
The first rate-limiting step to successfully translate prevention of psychosis in to clinical practice is to establish specialised Clinical High Risk for Psychosis (CHR-P) services. This study systematises the knowledge regarding CHR-P services and provides guidelines for translational implementation. We conducted a PRISMA/MOOSE-compliant (PROSPERO-CRD42020163640) systematic review of Web of Science to identify studies until 4/05/2020 reporting on CHR-P service configuration, outreach strategy and referrals, service user characteristics, interventions, and outcomes. Fifty-six studies (1998-2020) were included, encompassing 51 distinct CHR-P services across 15 countries and a catchment area of 17,252,666 people. Most services (80.4%) consisted of integrated multidisciplinary teams taking care of CHR-P and other patients. Outreach encompassed active (up to 97.6%) or passive (up to 63.4%) approaches: referrals came mostly (90%) from healthcare agencies. CHR-P individuals were more frequently males (57.2%). Most (70.6%) services accepted individuals aged 12-35 years, typically assessed with the CAARMS/SIPS (83.7%). Baseline comorbid mental conditions were reported in two-third (69.5%) of cases, and unemployment in one third (36.6%). Most services provided up to 2-years (72.4%), of clinical monitoring (100%), psychoeducation (81.1%), psychosocial support (73%), family interventions (73%), individual (67.6%) and group (18.9%) psychotherapy, physical health interventions (37.8%), antipsychotics (87.1%), antidepressants (74.2%), anxiolytics (51.6%), and mood stabilisers (38.7%). Outcomes were more frequently ascertained clinically (93.0%) and included: persistence of symptoms/comorbidities (67.4%), transition to psychosis (53.5%), and functional status (48.8%). We provide ten practical recommendations for implementation of CHR-P services. Health service knowledge summarised by the current study will facilitate translational efforts for implementation of CHR-P services worldwide.
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Affiliation(s)
- Gonzalo Salazar de Pablo
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Institute of Psychiatry and Mental Health, Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CIBERSAM, Madrid, Spain
| | - Andrés Estradé
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Clinical and Health Psychology, Catholic University, Montevideo, Uruguay
| | - Marcello Cutroni
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Olivier Andlauer
- Heads UP Service, East London NHS Foundation Trust, London, UK
- Centre for Psychiatry, Wolfson Institute of Preventive Medicine, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
- National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK.
- OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK.
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Raballo A, Poletti M, Preti A. Meta-analyzing the prevalence and prognostic effect of antipsychotic exposure in clinical high-risk (CHR): when things are not what they seem. Psychol Med 2020; 50:2673-2681. [PMID: 33198845 DOI: 10.1017/s0033291720004237] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
BACKGROUND The clinical high-risk (CHR) for psychosis paradigm is changing psychiatric practice. However, a widespread confounder, i.e. baseline exposure to antipsychotics (AP) in CHR samples, is systematically overlooked. Such exposure might mitigate the initial clinical presentation, increase the heterogeneity within CHR populations, and confound the evaluation of transition to psychosis at follow-up. This is the first meta-analysis examining the prevalence and the prognostic impact on transition to psychosis of ongoing AP treatment at baseline in CHR cohorts. METHODS Major databases were searched for articles published until 20 April 2020. The variance-stabilizing Freeman-Tukey double arcsine transformation was used to estimate prevalence. The binary outcome of transition to psychosis by group was estimated with risk ratio (RR) and the inverse variance method was used for pooling. RESULTS Fourteen studies were eligible for qualitative synthesis, including 1588 CHR individuals. Out of the pooled CHR sample, 370 individuals (i.e. 23.3%) were already exposed to AP at the time of CHR status ascription. Transition toward full-blown psychosis at follow-up intervened in 112 (29%; 95% CI 24-34%) of the AP-exposed CHR as compared to 235 (16%; 14-19%) of the AP-naïve CHR participants. AP-exposed CHR had higher RR of transition to psychosis (RR = 1.47; 95% CI 1.18-1.83; z = 3.48; p = 0.0005), without influence by age, gender ratio, overall sample size, duration of the follow-up, or quality of the studies. CONCLUSIONS Baseline AP exposure in CHR samples is substantial and is associated with a higher imminent risk of transition to psychosis. Therefore, such exposure should be regarded as a non-negligible red flag for clinical risk management.
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Affiliation(s)
- Andrea Raballo
- Department of Medicine, Section of Psychiatry, Clinical Psychology and Rehabilitation, University of Perugia, Perugia, Italy
- Center for Translational, Phenomenological and Developmental Psychopathology (CTPDP), Perugia University Hospital, Perugia, Italy
| | - Michele Poletti
- Department of Mental Health and Pathological Addiction, Child and Adolescent Neuropsychiatry Service, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Antonio Preti
- Centro Medico 'Genneruxi', Cagliari, Italy
- Center of Liaison Psychiatry and Psychosomatics, University Hospital, University of Cagliari, Cagliari, Italy
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Perkins DO, Olde Loohuis L, Barbee J, Ford J, Jeffries CD, Addington J, Bearden CE, Cadenhead KS, Cannon TD, Cornblatt BA, Mathalon DH, McGlashan TH, Seidman LJ, Tsuang M, Walker EF, Woods SW. Polygenic Risk Score Contribution to Psychosis Prediction in a Target Population of Persons at Clinical High Risk. Am J Psychiatry 2020; 177:155-163. [PMID: 31711302 PMCID: PMC7202227 DOI: 10.1176/appi.ajp.2019.18060721] [Citation(s) in RCA: 80] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
OBJECTIVE The 2-year risk of psychosis in persons who meet research criteria for a high-risk syndrome is about 15%-25%; improvements in risk prediction accuracy would benefit the development and implementation of preventive interventions. The authors sought to assess polygenic risk score (PRS) prediction of subsequent psychosis in persons at high risk and to determine the impact of adding the PRS to a previously validated psychosis risk calculator. METHODS Persons meeting research criteria for psychosis high risk (N=764) and unaffected individuals (N=279) were followed for up to 2 years. The PRS was based on the latest schizophrenia and bipolar genome-wide association studies. Variables in the psychosis risk calculator included stressful life events, trauma, disordered thought content, verbal learning, information processing speed, and family history of psychosis. RESULTS For Europeans, the PRS varied significantly by group and was higher in the psychosis converter group compared with both the nonconverter and unaffected groups, but was similar for the nonconverter group compared with the unaffected group. For non-Europeans, the PRS varied significantly by group; the difference between the converters and nonconverters was not significant, but the PRS was significantly higher in converters than in unaffected individuals, and it did not differ between nonconverters and unaffected individuals. The R2liability (R2 adjusted for the rate of disease risk in the population being studied, here assuming a 2-year psychosis risk between 10% and 30%) for Europeans varied between 9.2% and 12.3% and for non-Europeans between 3.5% and 4.8%. The amount of risk prediction information contributed by the addition of the PRS to the risk calculator was less than severity of disordered thoughts and similar to or greater than for other variables. For Europeans, the PRS was correlated with risk calculator variables of information processing speed and verbal memory. CONCLUSIONS The PRS discriminates psychosis converters from nonconverters and modestly improves individualized psychosis risk prediction when added to a psychosis risk calculator. The schizophrenia PRS shows promise in enhancing risk prediction in persons at high risk for psychosis, although its potential utility is limited by poor performance in persons of non-European ancestry.
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Affiliation(s)
- Diana O Perkins
- Department of Psychiatry (Perkins, Barbee), Lineberger Bioinformatics Core (Ford), Renaissance Computing Institute (Jeffries), University of North Carolina, Chapel Hill; Center for Neurobehavioral Genetics (Olde Loohuis) and Departments of Psychiatry and Biobehavioral Sciences and Psychology (Bearden), University of California, Los Angeles; Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Alberta, Canada (Addington); Department of Psychiatry (Cadenhead) and Center for Behavioral Genomics, Department of Psychiatry (Tsuang), University of California, San Diego; Department of Psychology, Yale University, New Haven, Conn. (Cannon); Department of Psychiatry, Zucker Hillside Hospital, Glen Oaks, N.Y. (Cornblatt); Department of Psychiatry, University of California, San Francisco (Mathalon); Department of Psychiatry, Yale University, New Haven, Conn. (McGlashan, Woods); Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston (Seidman); and Departments of Psychology and Psychiatry, Emory University, Atlanta (Walker)
| | - Loes Olde Loohuis
- Department of Psychiatry (Perkins, Barbee), Lineberger Bioinformatics Core (Ford), Renaissance Computing Institute (Jeffries), University of North Carolina, Chapel Hill; Center for Neurobehavioral Genetics (Olde Loohuis) and Departments of Psychiatry and Biobehavioral Sciences and Psychology (Bearden), University of California, Los Angeles; Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Alberta, Canada (Addington); Department of Psychiatry (Cadenhead) and Center for Behavioral Genomics, Department of Psychiatry (Tsuang), University of California, San Diego; Department of Psychology, Yale University, New Haven, Conn. (Cannon); Department of Psychiatry, Zucker Hillside Hospital, Glen Oaks, N.Y. (Cornblatt); Department of Psychiatry, University of California, San Francisco (Mathalon); Department of Psychiatry, Yale University, New Haven, Conn. (McGlashan, Woods); Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston (Seidman); and Departments of Psychology and Psychiatry, Emory University, Atlanta (Walker)
| | - Jenna Barbee
- Department of Psychiatry (Perkins, Barbee), Lineberger Bioinformatics Core (Ford), Renaissance Computing Institute (Jeffries), University of North Carolina, Chapel Hill; Center for Neurobehavioral Genetics (Olde Loohuis) and Departments of Psychiatry and Biobehavioral Sciences and Psychology (Bearden), University of California, Los Angeles; Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Alberta, Canada (Addington); Department of Psychiatry (Cadenhead) and Center for Behavioral Genomics, Department of Psychiatry (Tsuang), University of California, San Diego; Department of Psychology, Yale University, New Haven, Conn. (Cannon); Department of Psychiatry, Zucker Hillside Hospital, Glen Oaks, N.Y. (Cornblatt); Department of Psychiatry, University of California, San Francisco (Mathalon); Department of Psychiatry, Yale University, New Haven, Conn. (McGlashan, Woods); Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston (Seidman); and Departments of Psychology and Psychiatry, Emory University, Atlanta (Walker)
| | - John Ford
- Department of Psychiatry (Perkins, Barbee), Lineberger Bioinformatics Core (Ford), Renaissance Computing Institute (Jeffries), University of North Carolina, Chapel Hill; Center for Neurobehavioral Genetics (Olde Loohuis) and Departments of Psychiatry and Biobehavioral Sciences and Psychology (Bearden), University of California, Los Angeles; Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Alberta, Canada (Addington); Department of Psychiatry (Cadenhead) and Center for Behavioral Genomics, Department of Psychiatry (Tsuang), University of California, San Diego; Department of Psychology, Yale University, New Haven, Conn. (Cannon); Department of Psychiatry, Zucker Hillside Hospital, Glen Oaks, N.Y. (Cornblatt); Department of Psychiatry, University of California, San Francisco (Mathalon); Department of Psychiatry, Yale University, New Haven, Conn. (McGlashan, Woods); Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston (Seidman); and Departments of Psychology and Psychiatry, Emory University, Atlanta (Walker)
| | - Clark D Jeffries
- Department of Psychiatry (Perkins, Barbee), Lineberger Bioinformatics Core (Ford), Renaissance Computing Institute (Jeffries), University of North Carolina, Chapel Hill; Center for Neurobehavioral Genetics (Olde Loohuis) and Departments of Psychiatry and Biobehavioral Sciences and Psychology (Bearden), University of California, Los Angeles; Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Alberta, Canada (Addington); Department of Psychiatry (Cadenhead) and Center for Behavioral Genomics, Department of Psychiatry (Tsuang), University of California, San Diego; Department of Psychology, Yale University, New Haven, Conn. (Cannon); Department of Psychiatry, Zucker Hillside Hospital, Glen Oaks, N.Y. (Cornblatt); Department of Psychiatry, University of California, San Francisco (Mathalon); Department of Psychiatry, Yale University, New Haven, Conn. (McGlashan, Woods); Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston (Seidman); and Departments of Psychology and Psychiatry, Emory University, Atlanta (Walker)
| | - Jean Addington
- Department of Psychiatry (Perkins, Barbee), Lineberger Bioinformatics Core (Ford), Renaissance Computing Institute (Jeffries), University of North Carolina, Chapel Hill; Center for Neurobehavioral Genetics (Olde Loohuis) and Departments of Psychiatry and Biobehavioral Sciences and Psychology (Bearden), University of California, Los Angeles; Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Alberta, Canada (Addington); Department of Psychiatry (Cadenhead) and Center for Behavioral Genomics, Department of Psychiatry (Tsuang), University of California, San Diego; Department of Psychology, Yale University, New Haven, Conn. (Cannon); Department of Psychiatry, Zucker Hillside Hospital, Glen Oaks, N.Y. (Cornblatt); Department of Psychiatry, University of California, San Francisco (Mathalon); Department of Psychiatry, Yale University, New Haven, Conn. (McGlashan, Woods); Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston (Seidman); and Departments of Psychology and Psychiatry, Emory University, Atlanta (Walker)
| | - Carrie E Bearden
- Department of Psychiatry (Perkins, Barbee), Lineberger Bioinformatics Core (Ford), Renaissance Computing Institute (Jeffries), University of North Carolina, Chapel Hill; Center for Neurobehavioral Genetics (Olde Loohuis) and Departments of Psychiatry and Biobehavioral Sciences and Psychology (Bearden), University of California, Los Angeles; Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Alberta, Canada (Addington); Department of Psychiatry (Cadenhead) and Center for Behavioral Genomics, Department of Psychiatry (Tsuang), University of California, San Diego; Department of Psychology, Yale University, New Haven, Conn. (Cannon); Department of Psychiatry, Zucker Hillside Hospital, Glen Oaks, N.Y. (Cornblatt); Department of Psychiatry, University of California, San Francisco (Mathalon); Department of Psychiatry, Yale University, New Haven, Conn. (McGlashan, Woods); Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston (Seidman); and Departments of Psychology and Psychiatry, Emory University, Atlanta (Walker)
| | - Kristin S Cadenhead
- Department of Psychiatry (Perkins, Barbee), Lineberger Bioinformatics Core (Ford), Renaissance Computing Institute (Jeffries), University of North Carolina, Chapel Hill; Center for Neurobehavioral Genetics (Olde Loohuis) and Departments of Psychiatry and Biobehavioral Sciences and Psychology (Bearden), University of California, Los Angeles; Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Alberta, Canada (Addington); Department of Psychiatry (Cadenhead) and Center for Behavioral Genomics, Department of Psychiatry (Tsuang), University of California, San Diego; Department of Psychology, Yale University, New Haven, Conn. (Cannon); Department of Psychiatry, Zucker Hillside Hospital, Glen Oaks, N.Y. (Cornblatt); Department of Psychiatry, University of California, San Francisco (Mathalon); Department of Psychiatry, Yale University, New Haven, Conn. (McGlashan, Woods); Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston (Seidman); and Departments of Psychology and Psychiatry, Emory University, Atlanta (Walker)
| | - Tyrone D Cannon
- Department of Psychiatry (Perkins, Barbee), Lineberger Bioinformatics Core (Ford), Renaissance Computing Institute (Jeffries), University of North Carolina, Chapel Hill; Center for Neurobehavioral Genetics (Olde Loohuis) and Departments of Psychiatry and Biobehavioral Sciences and Psychology (Bearden), University of California, Los Angeles; Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Alberta, Canada (Addington); Department of Psychiatry (Cadenhead) and Center for Behavioral Genomics, Department of Psychiatry (Tsuang), University of California, San Diego; Department of Psychology, Yale University, New Haven, Conn. (Cannon); Department of Psychiatry, Zucker Hillside Hospital, Glen Oaks, N.Y. (Cornblatt); Department of Psychiatry, University of California, San Francisco (Mathalon); Department of Psychiatry, Yale University, New Haven, Conn. (McGlashan, Woods); Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston (Seidman); and Departments of Psychology and Psychiatry, Emory University, Atlanta (Walker)
| | - Barbara A Cornblatt
- Department of Psychiatry (Perkins, Barbee), Lineberger Bioinformatics Core (Ford), Renaissance Computing Institute (Jeffries), University of North Carolina, Chapel Hill; Center for Neurobehavioral Genetics (Olde Loohuis) and Departments of Psychiatry and Biobehavioral Sciences and Psychology (Bearden), University of California, Los Angeles; Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Alberta, Canada (Addington); Department of Psychiatry (Cadenhead) and Center for Behavioral Genomics, Department of Psychiatry (Tsuang), University of California, San Diego; Department of Psychology, Yale University, New Haven, Conn. (Cannon); Department of Psychiatry, Zucker Hillside Hospital, Glen Oaks, N.Y. (Cornblatt); Department of Psychiatry, University of California, San Francisco (Mathalon); Department of Psychiatry, Yale University, New Haven, Conn. (McGlashan, Woods); Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston (Seidman); and Departments of Psychology and Psychiatry, Emory University, Atlanta (Walker)
| | - Daniel H Mathalon
- Department of Psychiatry (Perkins, Barbee), Lineberger Bioinformatics Core (Ford), Renaissance Computing Institute (Jeffries), University of North Carolina, Chapel Hill; Center for Neurobehavioral Genetics (Olde Loohuis) and Departments of Psychiatry and Biobehavioral Sciences and Psychology (Bearden), University of California, Los Angeles; Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Alberta, Canada (Addington); Department of Psychiatry (Cadenhead) and Center for Behavioral Genomics, Department of Psychiatry (Tsuang), University of California, San Diego; Department of Psychology, Yale University, New Haven, Conn. (Cannon); Department of Psychiatry, Zucker Hillside Hospital, Glen Oaks, N.Y. (Cornblatt); Department of Psychiatry, University of California, San Francisco (Mathalon); Department of Psychiatry, Yale University, New Haven, Conn. (McGlashan, Woods); Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston (Seidman); and Departments of Psychology and Psychiatry, Emory University, Atlanta (Walker)
| | - Thomas H McGlashan
- Department of Psychiatry (Perkins, Barbee), Lineberger Bioinformatics Core (Ford), Renaissance Computing Institute (Jeffries), University of North Carolina, Chapel Hill; Center for Neurobehavioral Genetics (Olde Loohuis) and Departments of Psychiatry and Biobehavioral Sciences and Psychology (Bearden), University of California, Los Angeles; Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Alberta, Canada (Addington); Department of Psychiatry (Cadenhead) and Center for Behavioral Genomics, Department of Psychiatry (Tsuang), University of California, San Diego; Department of Psychology, Yale University, New Haven, Conn. (Cannon); Department of Psychiatry, Zucker Hillside Hospital, Glen Oaks, N.Y. (Cornblatt); Department of Psychiatry, University of California, San Francisco (Mathalon); Department of Psychiatry, Yale University, New Haven, Conn. (McGlashan, Woods); Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston (Seidman); and Departments of Psychology and Psychiatry, Emory University, Atlanta (Walker)
| | - Larry J Seidman
- Department of Psychiatry (Perkins, Barbee), Lineberger Bioinformatics Core (Ford), Renaissance Computing Institute (Jeffries), University of North Carolina, Chapel Hill; Center for Neurobehavioral Genetics (Olde Loohuis) and Departments of Psychiatry and Biobehavioral Sciences and Psychology (Bearden), University of California, Los Angeles; Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Alberta, Canada (Addington); Department of Psychiatry (Cadenhead) and Center for Behavioral Genomics, Department of Psychiatry (Tsuang), University of California, San Diego; Department of Psychology, Yale University, New Haven, Conn. (Cannon); Department of Psychiatry, Zucker Hillside Hospital, Glen Oaks, N.Y. (Cornblatt); Department of Psychiatry, University of California, San Francisco (Mathalon); Department of Psychiatry, Yale University, New Haven, Conn. (McGlashan, Woods); Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston (Seidman); and Departments of Psychology and Psychiatry, Emory University, Atlanta (Walker)
| | - Ming Tsuang
- Department of Psychiatry (Perkins, Barbee), Lineberger Bioinformatics Core (Ford), Renaissance Computing Institute (Jeffries), University of North Carolina, Chapel Hill; Center for Neurobehavioral Genetics (Olde Loohuis) and Departments of Psychiatry and Biobehavioral Sciences and Psychology (Bearden), University of California, Los Angeles; Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Alberta, Canada (Addington); Department of Psychiatry (Cadenhead) and Center for Behavioral Genomics, Department of Psychiatry (Tsuang), University of California, San Diego; Department of Psychology, Yale University, New Haven, Conn. (Cannon); Department of Psychiatry, Zucker Hillside Hospital, Glen Oaks, N.Y. (Cornblatt); Department of Psychiatry, University of California, San Francisco (Mathalon); Department of Psychiatry, Yale University, New Haven, Conn. (McGlashan, Woods); Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston (Seidman); and Departments of Psychology and Psychiatry, Emory University, Atlanta (Walker)
| | - Elaine F Walker
- Department of Psychiatry (Perkins, Barbee), Lineberger Bioinformatics Core (Ford), Renaissance Computing Institute (Jeffries), University of North Carolina, Chapel Hill; Center for Neurobehavioral Genetics (Olde Loohuis) and Departments of Psychiatry and Biobehavioral Sciences and Psychology (Bearden), University of California, Los Angeles; Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Alberta, Canada (Addington); Department of Psychiatry (Cadenhead) and Center for Behavioral Genomics, Department of Psychiatry (Tsuang), University of California, San Diego; Department of Psychology, Yale University, New Haven, Conn. (Cannon); Department of Psychiatry, Zucker Hillside Hospital, Glen Oaks, N.Y. (Cornblatt); Department of Psychiatry, University of California, San Francisco (Mathalon); Department of Psychiatry, Yale University, New Haven, Conn. (McGlashan, Woods); Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston (Seidman); and Departments of Psychology and Psychiatry, Emory University, Atlanta (Walker)
| | - Scott W Woods
- Department of Psychiatry (Perkins, Barbee), Lineberger Bioinformatics Core (Ford), Renaissance Computing Institute (Jeffries), University of North Carolina, Chapel Hill; Center for Neurobehavioral Genetics (Olde Loohuis) and Departments of Psychiatry and Biobehavioral Sciences and Psychology (Bearden), University of California, Los Angeles; Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Alberta, Canada (Addington); Department of Psychiatry (Cadenhead) and Center for Behavioral Genomics, Department of Psychiatry (Tsuang), University of California, San Diego; Department of Psychology, Yale University, New Haven, Conn. (Cannon); Department of Psychiatry, Zucker Hillside Hospital, Glen Oaks, N.Y. (Cornblatt); Department of Psychiatry, University of California, San Francisco (Mathalon); Department of Psychiatry, Yale University, New Haven, Conn. (McGlashan, Woods); Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston (Seidman); and Departments of Psychology and Psychiatry, Emory University, Atlanta (Walker)
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13
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Niles HF, Walsh BC, Woods SW, Powers AR. Does hallucination perceptual modality impact psychosis risk? Acta Psychiatr Scand 2019; 140:360-370. [PMID: 31355420 PMCID: PMC6752971 DOI: 10.1111/acps.13078] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/24/2019] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Subthreshold perceptual abnormalities are commonly used to identify individuals at clinical high risk (CHR) for developing a psychotic disorder. Predictive validity for modality-specific perceptual abnormality severity on psychosis risk is unknown. METHODS We examined prospectively collected data from 164 individuals age 12-35 meeting criteria for CHR followed for 6-24 months or until conversion to psychosis. Using intake interview notes, baseline perceptual abnormality scores were split into auditory, visual, somatic/tactile, and olfactory/gustatory components, and auditory scores were further split into those for verbal vs non-verbal content. Relationships between perceptual abnormality characteristics and conversion were assessed with Cox proportional hazards regression and logistic regression. RESULTS Unusual thought content and paranoia were predictive of conversion, but no modality-specific perceptual abnormality score predicted conversion status or days to conversion. However, when auditory perceptual abnormalities were further categorized as verbal vs non-verbal, the severity of verbal experiences was predictive of conversion to psychosis (P = 0.007). CONCLUSIONS Perceptual abnormality scores failed to meaningfully predict conversion to psychosis in either direction in this CHR sample. However, verbal auditory experiences may identify a group of CHR individuals at elevated risk of conversion. Further exploration of the relationship between phenomenological aspects of perceptual abnormalities and conversion risk is warranted.
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Affiliation(s)
- Halsey F. Niles
- Department of Psychiatry and the Connecticut Mental Health Center, Yale University, New Haven CT
| | - Barbara C. Walsh
- Department of Psychiatry and the Connecticut Mental Health Center, Yale University, New Haven CT
| | - Scott W. Woods
- Department of Psychiatry and the Connecticut Mental Health Center, Yale University, New Haven CT
| | - Albert R. Powers
- Department of Psychiatry and the Connecticut Mental Health Center, Yale University, New Haven CT
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14
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Mutlu E, Yazıcı MK, Barışkın E, Ertuğrul A, Gürel ŞC, Gürkan Ş, Göka E, Yağcıoğlu AEA. Examination of formal thought disorder and its clinical correlates with the Turkish Version of the Thought and Language Disorder Scale (TALD-TR) in schizophrenia. Compr Psychiatry 2019; 93:7-13. [PMID: 31276902 DOI: 10.1016/j.comppsych.2019.06.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2018] [Revised: 06/02/2019] [Accepted: 06/03/2019] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Formal thought disorder (FTD) is considered to be a fundamental feature of schizophrenia. This study aims to analyze psychometric properties of the Turkish version of "Thought and Language Disorder Scale (TALD)" and investigate the relationship between FTD and various clinical characteristics in patients with schizophrenia. METHODS TALD was adapted into Turkish and applied to a total of 149 participants of which 114 had DSM-5 psychiatric diagnoses (schizophrenia N = 70, mania N = 20, depression N = 24) and 35 were healthy controls. Positive and Negative Syndrome Scale (PANSS), Hamilton Depression Rating Scale, Young Mania Rating Scale, and Clinical Global Impression were administered to detect illness severity. RESULTS The principal component analyses revealed that the Turkish version of TALD (TALD-TR) consisted of four factors including the Objective Positive (OP), Subjective Negative (SN), Objective Negative (ON) and Subjective Positive (SP) symptom dimensions which were in line with the original TALD factorial structure. It was concluded that TALD-TR shows strong construct validity and high interrater reliability. The correlation analyses with TALD-TR and PANSS showed that there are positive correlations between the TALD-TR total score and the PANSS total and subscale scores. Each diagnostic group showed the distinct pattern of FTD. The mania group exhibited the highest mean total score in the OP, whereas the schizophrenia group exhibited the highest mean total score in the ON factor. In the schizophrenia group, the severity of FTD correlated positively with duration of illness and negatively with age at onset of illness. CONCLUSION Adaptation of TALD into different languages seems to be possible, bringing in an international tool for research on FTD.
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Affiliation(s)
- Emre Mutlu
- Department of Psychiatry, Hacettepe University Faculty of Medicine, Ankara, Turkey.
| | - M Kâzım Yazıcı
- Department of Psychiatry, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Elif Barışkın
- Department of Psychiatry, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Aygün Ertuğrul
- Department of Psychiatry, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Ş Can Gürel
- Department of Psychiatry, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Şahin Gürkan
- Department of Psychiatry, Numune Training and Research Hospital, Ankara, Turkey
| | - Erol Göka
- Department of Psychiatry, Numune Training and Research Hospital, Ankara, Turkey
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15
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Short clinically-based prediction model to forecast transition to psychosis in individuals at clinical high risk state. Eur Psychiatry 2019; 58:72-79. [DOI: 10.1016/j.eurpsy.2019.02.007] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Revised: 02/26/2019] [Accepted: 02/27/2019] [Indexed: 12/19/2022] Open
Abstract
AbstractObjective:The predictive accuracy of the Clinical High Risk criteria for Psychosis (CHR-P) regarding the future development of the disorder remains suboptimal. It is therefore necessary to incorporate refined risk estimation tools which can be applied at the individual subject level. The aim of the study was to develop an easy-to use, short refined risk estimation tool to predict the development of psychosis in a new CHR-P cohort recruited in European country with less established early detection services.Methods:A cohort of 105 CHR-P individuals was assessed with the Comprehensive Assessment of At Risk Mental States12/2006, and then followed for a median period of 36 months (25th-75th percentile:10–59 months) for transition to psychosis. A multivariate Cox regression model predicting transition was generated with preselected clinical predictors and was internally validated with 1000 bootstrap resamples.Results:Speech disorganization and unusual thought content were selected as potential predictors of conversion on the basis of published literature. The prediction model was significant (p < 0.0001) and confirmed that both speech disorganization (HR = 1.69; 95%CI: 1.39–2.05) and unusual thought content (HR = 1.51; 95%CI: 1.27–1.80) were significantly associated with transition. The prognostic accuracy of the model was adequate (Harrell’s c- index = 0.79), even after optimism correction through internal validation procedures (Harrell’s c-index = 0.78).Conclusions:The clinical prediction model developed, and internally validated, herein to predict transition from a CHR-P to psychosis may be a promising tool for use in clinical settings. It has been incorporated into an online tool available at:https://link.konsta.com.pl/psychosis. Future external replication studies are needed.
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16
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Federated multi-site longitudinal study of at-risk mental state for psychosis in Japan. Schizophr Res 2019; 204:343-352. [PMID: 30219604 DOI: 10.1016/j.schres.2018.09.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2017] [Revised: 09/01/2018] [Accepted: 09/01/2018] [Indexed: 11/22/2022]
Abstract
There has been recent accumulation of evidence and clinical guidance regarding the at-risk mental state (ARMS) for psychosis. However, most studies have been observational cohort and intervention studies of Western populations. To assess the validity of the ARMS concept and the transition rate to psychosis in a non-Western nation, we retrospectively combined and analyzed clinical data of individuals diagnosed with ARMS who were prospectively followed-up at three specialized clinical services for ARMS in Japan. In total, we included 309 individuals with ARMS, of whom 43 developed overt psychosis. We estimated cumulative transition rates to psychosis with the Kaplan-Meier method, obtaining rates of 12% at 12, 16% at 24, 19% at 36, and 20% at 48 months. Only two individuals reported past cannabis use. Despite several differences among the three sites, transition rates did not differ among them. Furthermore, the transition rate of children aged between 14 and 17 years did not differ from that of individuals aged 18 years or older. Regression analysis revealed that meeting the brief limited intermittent psychotic symptoms (BLIPS) criterion was associated with an increased risk of transition to psychosis, whereas genetic risk factors were not. Although antipsychotic prescription was relatively frequent in this cohort, there was no evidence supporting frequent use of antipsychotics for this population. In conclusion, our findings support the assertion that the current concept of ARMS is applicable in Japan. Development of local clinical guidelines and training for clinicians is necessary to disseminate this concept to more clinical settings.
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17
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Matsumoto K, Ohmuro N, Tsujino N, Nishiyama S, Abe K, Hamaie Y, Katsura M, Inoue N, Matsuoka H, Kawasaki Y, Kishimoto T, Suzuki M, Mizuno M. Open-label study of cognitive behavioural therapy for individuals with at-risk mental state: Feasibility in the Japanese clinical setting. Early Interv Psychiatry 2019; 13:137-141. [PMID: 29357194 DOI: 10.1111/eip.12541] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2017] [Revised: 11/13/2017] [Accepted: 12/17/2017] [Indexed: 11/29/2022]
Abstract
AIM To date, most cognitive behavioural therapy (CBT) trials for individuals with at-risk metal state (ARMS) have been conducted in few Western countries and its feasibility in other regions, including Japan, has not been established. METHODS We designed an open-label pilot study. Fourteen ARMS participants received CBT over 6 months and were followed-up for 6 months. RESULTS Thirteen individuals completed the CBT intervention and assessments. The mean total score on the Positive and Negative Syndrome Scale improved from 60.2 to 46.0 after the intervention (Cohen's d = 1.1). The effects were maintained at the follow-up assessment. One participant transitioned to psychosis after the CBT intervention, and was the only patient who received antipsychotics. CONCLUSIONS We confirmed the feasibility of the provision of CBT for ARMS in Japan. Since overprescription of antipsychotics is a matter of great concern in Japan, CBT could be a valuable alternative treatment strategy.
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Affiliation(s)
- Kazunori Matsumoto
- Department of Psychiatry, Tohoku University, Graduate School of Medicine, Sendai, Japan.,Department of Psychiatry, Tohoku University Hospital, Sendai, Japan.,Department of Preventive Psychiatry, Tohoku University, Graduate School of Medicine, Sendai, Japan
| | - Noriyuki Ohmuro
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Naohisa Tsujino
- Department of Neuropsychiatry, Toho University, School of Medicine, Tokyo, Japan
| | - Shimako Nishiyama
- Department of Neuropsychiatry, University of Toyama, Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Koichi Abe
- Department of Psychiatry, Tohoku University, Graduate School of Medicine, Sendai, Japan
| | - Yumiko Hamaie
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Masahiro Katsura
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Naomi Inoue
- Department of Neuropsychiatry, Toho University, School of Medicine, Tokyo, Japan
| | - Hiroo Matsuoka
- Department of Psychiatry, Tohoku University, Graduate School of Medicine, Sendai, Japan.,Department of Psychiatry, Tohoku University Hospital, Sendai, Japan.,Department of Preventive Psychiatry, Tohoku University, Graduate School of Medicine, Sendai, Japan
| | - Yasuhiro Kawasaki
- Department of Neuropsychiatry, Kanazawa Medical University, Uchinada, Japan
| | - Toshifumi Kishimoto
- Psychiatry and Behavioral Neuroscience, Nara Medical University, Kashihara, Japan
| | - Michio Suzuki
- Department of Neuropsychiatry, University of Toyama, Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Masafumi Mizuno
- Department of Neuropsychiatry, Toho University, School of Medicine, Tokyo, Japan
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18
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Malda A, Boonstra N, Barf H, de Jong S, Aleman A, Addington J, Pruessner M, Nieman D, de Haan L, Morrison A, Riecher-Rössler A, Studerus E, Ruhrmann S, Schultze-Lutter F, An SK, Koike S, Kasai K, Nelson B, McGorry P, Wood S, Lin A, Yung AY, Kotlicka-Antczak M, Armando M, Vicari S, Katsura M, Matsumoto K, Durston S, Ziermans T, Wunderink L, Ising H, van der Gaag M, Fusar-Poli P, Pijnenborg GHM. Individualized Prediction of Transition to Psychosis in 1,676 Individuals at Clinical High Risk: Development and Validation of a Multivariable Prediction Model Based on Individual Patient Data Meta-Analysis. Front Psychiatry 2019; 10:345. [PMID: 31178767 PMCID: PMC6537857 DOI: 10.3389/fpsyt.2019.00345] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Accepted: 05/01/2019] [Indexed: 12/26/2022] Open
Abstract
Background: The Clinical High Risk state for Psychosis (CHR-P) has become the cornerstone of modern preventive psychiatry. The next stage of clinical advancements rests on the ability to formulate a more accurate prognostic estimate at the individual subject level. Individual Participant Data Meta-Analyses (IPD-MA) are robust evidence synthesis methods that can also offer powerful approaches to the development and validation of personalized prognostic models. The aim of the study was to develop and validate an individualized, clinically based prognostic model for forecasting transition to psychosis from a CHR-P stage. Methods: A literature search was performed between January 30, 2016, and February 6, 2016, consulting PubMed, Psychinfo, Picarta, Embase, and ISI Web of Science, using search terms ("ultra high risk" OR "clinical high risk" OR "at risk mental state") AND [(conver* OR transition* OR onset OR emerg* OR develop*) AND psychosis] for both longitudinal and intervention CHR-P studies. Clinical knowledge was used to a priori select predictors: age, gender, CHR-P subgroup, the severity of attenuated positive psychotic symptoms, the severity of attenuated negative psychotic symptoms, and level of functioning at baseline. The model, thus, developed was validated with an extended form of internal validation. Results: Fifteen of the 43 studies identified agreed to share IPD, for a total sample size of 1,676. There was a high level of heterogeneity between the CHR-P studies with regard to inclusion criteria, type of assessment instruments, transition criteria, preventive treatment offered. The internally validated prognostic performance of the model was higher than chance but only moderate [Harrell's C-statistic 0.655, 95% confidence interval (CIs), 0.627-0.682]. Conclusion: This is the first IPD-MA conducted in the largest samples of CHR-P ever collected to date. An individualized prognostic model based on clinical predictors available in clinical routine was developed and internally validated, reaching only moderate prognostic performance. Although personalized risk prediction is of great value in the clinical practice, future developments are essential, including the refinement of the prognostic model and its external validation. However, because of the current high diagnostic, prognostic, and therapeutic heterogeneity of CHR-P studies, IPD-MAs in this population may have an limited intrinsic power to deliver robust prognostic models.
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Affiliation(s)
- Aaltsje Malda
- GGZ Friesland Mental Health Institute, Leeuwarden, Netherlands.,University of Groningen, Groningen, Netherlands
| | - Nynke Boonstra
- GGZ Friesland Mental Health Institute, Leeuwarden, Netherlands.,NHL Stenden University of Applied Sciences, Leeuwarden, Netherlands
| | - Hans Barf
- NHL Stenden University of Applied Sciences, Leeuwarden, Netherlands
| | | | - Andre Aleman
- University of Groningen, Groningen, Netherlands.,Cognitive Neuroscience Center, Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, Groningen, Netherlands
| | - Jean Addington
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Marita Pruessner
- Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada.,Department of Psychology, University of Konstanz, Konstanz, Germany
| | - Dorien Nieman
- Amsterdam University Medical Centers, Location AMC, Department of Psychiatry, Amsterdam, Netherlands
| | - Lieuwe de Haan
- Amsterdam University Medical Centers, Location AMC, Department of Psychiatry, Amsterdam, Netherlands
| | - Anthony Morrison
- Division of Psychology and Mental Health, University of Manchester, Manchester, United Kingdom.,Psychosis Research Unit, Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom
| | | | - Erich Studerus
- University of Basel Psychiatric Hospital, Basel, Switzerland
| | - Stephan Ruhrmann
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Suk Kyoon An
- Department of Psychiatry, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Shinsuke Koike
- University of Tokyo Institute for Diversity and Adaptation of Human Mind (UTIDAHM), Tokyo, Japan.,Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Tokyo Center for Integrative Science of Human Behaviour (CiSHuB), The University of Tokyo, Tokyo, Japan.,The International Research Center for Neurointelligence (WPI-IRCN) at The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, Japan
| | - Kiyoto Kasai
- University of Tokyo Institute for Diversity and Adaptation of Human Mind (UTIDAHM), Tokyo, Japan.,Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Tokyo Center for Integrative Science of Human Behaviour (CiSHuB), The University of Tokyo, Tokyo, Japan.,The International Research Center for Neurointelligence (WPI-IRCN) at The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, Japan
| | - Barnaby Nelson
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, VIC, Australia.,Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Patrick McGorry
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, VIC, Australia.,Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Stephen Wood
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, VIC, Australia.,Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia.,School of Psychology, University of Birmingham, Birmingham, United Kingdom
| | - Ashleigh Lin
- Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia
| | - Alison Y Yung
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, VIC, Australia.,Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia.,Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom.,Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | | | - Marco Armando
- Child and Adolescence Neuropsychiatry Unit, Department of Neuroscience, Children Hospital Bambino Gesù, Rome, Italy.,Office Médico-Pédagogique Research Unit, Department of Psychiatry, University of Geneva, School of Medicine, Geneva, Switzerland
| | - Stefano Vicari
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Masahiro Katsura
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Kazunori Matsumoto
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan.,Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan.,Department of Preventive Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Sarah Durston
- NICHE Lab, Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center, Utrecht, Netherlands
| | - Tim Ziermans
- Amsterdam University Medical Centers, Location AMC, Department of Psychiatry, Amsterdam, Netherlands.,Department of Psychology, University of Amsterdam, Amsterdam, Netherlands
| | - Lex Wunderink
- GGZ Friesland Mental Health Institute, Leeuwarden, Netherlands.,University Medical Center Groningen, Groningen, Netherlands
| | - Helga Ising
- Department of Clinical Psychology, VU University, Amsterdam, Netherlands
| | - Mark van der Gaag
- Department of Clinical Psychology, VU University, Amsterdam, Netherlands.,Parnassia Psychiatric Institute, Department of Psychosis Research, Den Haag, Netherlands
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,OASIS Service, South London and Maudsley NHS Foundation Trust, London, United Kingdom.,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.,National Institute for Health Research, Biomedical Research Centre for Mental Health, South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Gerdina Hendrika Maria Pijnenborg
- University of Groningen, Groningen, Netherlands.,GGZ Drenthe Mental Health Care Center, Department of Psychotic Disorders, Assen, Netherlands
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19
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Sakuma A, Obara C, Katsura M, Ito F, Ohmuro N, Iizuka K, Kikuchi T, Miyakoshi T, Matsuoka H, Matsumoto K. No regional gray matter volume reduction observed in young Japanese people at ultra-high risk for psychosis: A voxel-based morphometry study. Asian J Psychiatr 2018; 37:167-171. [PMID: 30293050 DOI: 10.1016/j.ajp.2018.09.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Revised: 08/28/2018] [Accepted: 09/26/2018] [Indexed: 12/27/2022]
Abstract
OBJECTIVES Structural brain magnetic resonance imaging studies of individuals at ultra-high risk (UHR) for psychosis have shown subtle but widespread reductions in baseline gray matter volume (GMV) in the frontal, temporal, and limbic regions compared with healthy controls (HC). These regions coincide with regions of reduced GMV in patients with established psychosis and have led to the consideration of structural changes in UHR as a potential biomarker for future transition to psychosis. However, most studies have been from Europe, North America, and Australia, with few reports from other regions, and two recent studies from Asian countries have failed to detect regional GMV reduction in UHR, suggesting the need for further analysis of an Asian sample. In this study, we investigated GMV reduction in Japanese UHR subjects. RESULTS The study used voxel-based morphometry to compare magnetic resonance imaging brain scans between 45 UHR individuals recruited by a specialist and 33 HCs. This showed no significant GMV reduction in the UHR group compared with the healthy control group. This negative result may be attributable to characteristics of Asian samples, such as a low prevalence of illicit drug use, or to the heterogeneous nature of UHR subjects.
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Affiliation(s)
- Atsushi Sakuma
- Department of Psychiatry, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan.
| | - Chika Obara
- Department of Psychiatry, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan; Department of Psychiatry, Sendai City Hospital, 1-1 Asuto-nagamachi, Taihaku-ku, Sendai, Miyagi, 982-8502, Japan.
| | - Masahiro Katsura
- Department of Psychiatry, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan.
| | - Fumiaki Ito
- Department of Psychiatry, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan.
| | - Noriyuki Ohmuro
- Department of Psychiatry, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan.
| | - Kunio Iizuka
- Department of Psychiatry, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan.
| | - Tatsuo Kikuchi
- Department of Psychiatry, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan.
| | - Tetsuo Miyakoshi
- Sapporo Prison, 2-1-5-1 Higashi-naebo, Higashi-ku, Sapporo, 007-8601, Japan.
| | - Hiroo Matsuoka
- Department of Psychiatry, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-0872, Japan.
| | - Kazunori Matsumoto
- Department of Psychiatry, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan; Department of Psychiatry, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-0872, Japan; Department of Preventive Psychiatry, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-0872, Japan.
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20
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Deriu V, Moro MR, Benoit L. Early intervention for everyone? A review of cross-cultural issues and their treatment in ultra-high-risk (UHR) cohorts. Early Interv Psychiatry 2018; 12:796-810. [PMID: 29708310 DOI: 10.1111/eip.12671] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2017] [Revised: 02/06/2018] [Accepted: 03/13/2018] [Indexed: 12/15/2022]
Abstract
AIM Over the past 20 years, early management of psychosis has become both a research and policy priority. In Western countries, psychotic disorders appear more prevalent in migrant and minority ethnic groups than in native or dominant groups. Moreover, disparities exist in health conditions and access to care among immigrants and minority ethnic groups, compared with native-born and majority groups. Appropriate early detection tools are necessary for the different groups. METHODS This systematic review provides a synthesis of the assessment and discussion of transcultural issues in ultra-high-risk (UHR) cohorts. The Medline database was searched via PubMed for peer-reviewed articles published in English from 1995 to 2017. All 79 studies included are prospective UHR cohort studies that used the Comprehensive Assessment of At-Risk Mental States (CAARMS). RESULTS In UHR cohort studies that used the CAARMS, transcultural data (native language, ethnicity, place of birth, migration) are rarely collected, and inadequate ability to speak the dominant language is a common exclusion criterion. When they are included, the CAARMS scores differ between some minorities and the native-born majority group. CONCLUSIONS This systematic review demonstrates barriers to the access to participation in early intervention research for migrants and ethnic minorities. This selection bias may result in lower validity for the CAARMS among these populations and thus in inadequate intervention programmes. Along with targeted studies, minorities' access to participation in UHR cohorts should be improved through 3 tools: interpreters at recruitment and for administration of CAARMS, a guide to cultural formulation and transcultural data collection.
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Affiliation(s)
| | - Marie Rose Moro
- Head of department at Maison de Solenn, Hôpital Cochin (AP-HP), Paris, France.,Professor of Child and Adolescent Psychiatry, Faculty of Medicine, Université Paris Descartes, Paris, France
| | - Laelia Benoit
- Maison de Solenn, Hôpital Cochin (AP-HP), Unité INSERM/CESP, Paris, France
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21
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Cavelti M, Kircher T, Nagels A, Strik W, Homan P. Is formal thought disorder in schizophrenia related to structural and functional aberrations in the language network? A systematic review of neuroimaging findings. Schizophr Res 2018; 199:2-16. [PMID: 29510928 DOI: 10.1016/j.schres.2018.02.051] [Citation(s) in RCA: 65] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2017] [Revised: 12/20/2017] [Accepted: 02/25/2018] [Indexed: 12/29/2022]
Abstract
Formal thought disorder (FTD) is a core feature of schizophrenia, a marker of illness severity and a predictor of outcome. The underlying neural mechanisms are still a matter of debate. This study aimed at 1) reviewing the literature on the neural correlates of FTD in schizophrenia, and 2) testing the hypothesis that FTD correlates with structural and functional aberrations in the language network. Medline, PsychInfo, and Embase were searched for neuroimaging studies, which applied a clinical measure to assess FTD in adults with schizophrenia and were published in English or German in peer-reviewed journals until December 2016. Of 412 articles identified, 61 studies were included in the review. Volumetric studies reported bilateral grey matter deficits (L > R) to be associated with FTD in the inferior frontal gyrus, the superior temporal gyrus and the inferior parietal lobe. The same regions showed hyperactivity in resting state functional magnetic resonance imaging (fMRI) studies and both hyper- and hypoactivity in fMRI studies that employed semantic processing or free speech production tasks. Diffusion tensor imaging studies demonstrated white matter aberrations in fibre tracts that connect the frontal and temporo-parietal regions. FTD in schizophrenia was found to be associated with structural and functional aberrations in the language network. However, there are studies that did not find an association between FTD and neural aberrations of the language network and regions not included in the language network have been associated with FTD. Thus, future research is needed to clarify the specificity of the language network for FTD in schizophrenia.
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Affiliation(s)
- Marialuisa Cavelti
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, 3000 Bern 60, Switzerland; Orygen, The National Centre of Excellence in Youth Mental Health & Centre for Youth Mental Health, University of Melbourne, Parkville, Victoria 3052, Australia
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, University of Marburg, Rudolf-Bultmann-Strasse 8, 35039 Marburg, Germany
| | - Arne Nagels
- Johannes Gutenberg University, General Linguistics, 55099 Mainz, Germany
| | - Werner Strik
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, 3000 Bern 60, Switzerland
| | - Philipp Homan
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, 3000 Bern 60, Switzerland; Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Hofstra Northwell School of Medicine, 350 Community Drive, Manhasset, NY 11030, USA.
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22
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Kotlicka-Antczak M, Pawełczyk T, Podgórski M, Żurner N, Karbownik MS, Pawełczyk A. Polish individuals with an at-risk mental state: demographic and clinical characteristics. Early Interv Psychiatry 2018; 12:391-399. [PMID: 27111136 DOI: 10.1111/eip.12333] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2015] [Revised: 12/11/2015] [Accepted: 02/18/2016] [Indexed: 12/21/2022]
Abstract
AIM The aim of this study is to present sociodemographic and clinical characteristics of Polish individuals with an at-risk mental state (ARMS). METHODS A group of 99 individuals meeting the ARMS criteria were assessed in terms of sociodemographic data, psychopathological symptoms, psychosocial functioning and comorbidity. RESULTS The sample (mean age 19 years) was 54.55% women. At baseline, nearly 73% of the sample was educated, and 20.20% were employed. Approximately 87.88% of the participants lived with their families. Nearly 77% of the sample presented attenuated psychotic symptoms (APS), 17.17% demonstrated APS with accompanying vulnerability traits and 19.19% showed vulnerability features only. The mean Social and Occupational Functioning Assessment Scale score was 49.55 (±7.70). No effect of age, gender or level of functioning on psychopathological symptoms was observed. The most common comorbid diagnoses were depressive (44.44%) and anxiety disorders (19.19%), which coexisted in 5.05% of the individuals. Approximately 28.28% of the diagnoses met the criteria for personality disorders. The dropout rate from the study was 19.09%, with stigma as the most common reason. CONCLUSIONS Polish ARMS individuals are help-seeking young people most commonly presenting APS or vulnerability features. Despite a high level of psychosocial dysfunction, these individuals remain educationally active. Most individuals showed comorbid diagnoses (commonly depressive or anxiety disorders). Despite some differences resulting from the socioeconomic situation of the country or the specificity of the mental health services, the characteristics of the sample remain consistent with descriptions of ARMS populations worldwide. This study reaffirms the need for organizing early intervention services in non-stigmatizing settings.
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Affiliation(s)
| | - Tomasz Pawełczyk
- Medical University of Lodz, Department of Affective and Psychotic Disorders, Lodz, Poland
| | - Michał Podgórski
- Medical University of Lodz, Department of Angiology, Lodz, Poland
| | - Natalia Żurner
- Child and Adolescent Psychiatry Unit, Central Clinical Hospital of Lodz, Lodz, Poland
| | - Michał S Karbownik
- Department of Toxicology and Pharmacology, Medical University of Lodz, Lodz, Poland
| | - Agnieszka Pawełczyk
- Medical University of Lodz, Department of Affective and Psychotic Disorders, Lodz, Poland
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23
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The relationship between cognitive insight and cognitive performance among individuals with at-risk mental state for developing psychosis. Schizophr Res 2018; 192:281-286. [PMID: 28442249 DOI: 10.1016/j.schres.2017.04.031] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Revised: 04/13/2017] [Accepted: 04/16/2017] [Indexed: 11/24/2022]
Abstract
Impairments in cognitive insight-the capacity to appraise and modify one's own distorted beliefs-are believed to be associated with the formation of psychosis. Nevertheless, the association between cognitive insight and cognitive function among people with at-risk mental state (ARMS) for developing psychotic illness has not been made clear. In this study, we used the Beck Cognitive Insight Scale (BCIS) to assess cognitive insight and the Brief Assessment of Cognition in Schizophrenia (BACS) and the Wisconsin Card Sorting Test (WCST) to assess cognitive functions. Fifty subjects with ARMS and 29 healthy volunteers were recruited as participants. The scores for the two groups on the BCIS, BACS, and WCST were compared and Spearman's rank correlations between the domains of the BCIS and cognitive performance were examined in each group. No significant differences were found in BCIS scores between these groups, whereas all of the cognitive function scores were poorer in the participants with ARMS. In the ARMS group, higher self-certainty on the BCIS was significantly correlated with lower performance in the mean number of categories achieved (ρ=-0.31, P=0.03) and perseverative errors of the Nelson type (ρ=0.29, P=0.04) on the WCST. This indicates that excessively high self-certainty might be linked with weaknesses in cognitive flexibility or set-shifting ability in people with ARMS.
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24
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The associations between quality of life and clinical symptoms in individuals with an at-risk mental state and first-episode psychosis. Psychiatry Res 2017; 254:54-59. [PMID: 28448805 DOI: 10.1016/j.psychres.2017.04.031] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2016] [Revised: 01/27/2017] [Accepted: 04/18/2017] [Indexed: 11/22/2022]
Abstract
Quality of life (QOL) is strongly associated with severity of clinical symptoms and is often compromised in patients with chronic or first-episode psychosis (FEP). However, it remains unclear whether baseline QOL in individuals with an at-risk mental state (ARMS) for psychosis is higher or lower than that in patients with FEP, or what specific clinical symptoms relate to a decreased QOL in individuals with ARMS and FEP. The World Health Organization's WHOQOL-BREF, an instrument assessing QOL, was administered to 104 individuals with ARMS and 53 with FEP. Clinical symptoms were assessed by the Positive and Negative Syndrome Scale and the Beck Depression Inventory-II. We compared the four domain scores of the WHOQOL-BREF between the two groups, and calculated Pearson correlations between each WHOQOL-BREF domain score and the clinical symptoms and compared these correlations between the groups. We observed significant correlations between poor QOL and severity of depressive symptoms in both the FEP and ARMS group. No between-group differences were found in any correlation coefficients between WHOQOL-BREF domains and clinical symptoms. Thus, depressive symptoms should be investigated as a key factor relating to poor QOL in both individuals with ARMS and those with FEP.
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25
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Morgan CJ, Coleman MJ, Ulgen A, Boling L, Cole JO, Johnson FV, Lerbinger J, Bodkin JA, Holzman PS, Levy DL. Thought Disorder in Schizophrenia and Bipolar Disorder Probands, Their Relatives, and Nonpsychiatric Controls. Schizophr Bull 2017; 43:523-535. [PMID: 28338967 PMCID: PMC5463905 DOI: 10.1093/schbul/sbx016] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Thought disorder (TD) has long been associated with schizophrenia (SZ) and is now widely recognized as a symptom of mania and other psychotic disorders as well. Previous studies have suggested that the TD found in the clinically unaffected relatives of SZ, schizoaffective and bipolar probands is qualitatively similar to that found in the probands themselves. Here, we examine which quantitative measures of TD optimize the distinction between patients with diagnoses of SZ and bipolar disorder with psychotic features (BP) from nonpsychiatric controls (NC) and from each other. In addition, we investigate whether these same TD measures also distinguish their respective clinically unaffected relatives (RelSZ, RelBP) from controls as well as from each other. We find that deviant verbalizations are significantly associated with SZ and are co-familial in clinically unaffected RelSZ, but are dissociated from, and are not co-familial for, BP disorder. In contrast, combinatory thinking was nonspecifically associated with psychosis, but did not aggregate in either group of relatives. These results provide further support for the usefulness of TD for identifying potential non-penetrant carriers of SZ-risk genes, in turn enhancing the power of genetic analyses. These findings also suggest that further refinement of the TD phenotype may be needed in order to be suitable for use in genetic studies of bipolar disorder.
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Affiliation(s)
- Charity J Morgan
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL
| | | | - Ayse Ulgen
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY
| | - Lenore Boling
- Psychology Research Laboratory, McLean Hospital, Belmont, MA
| | - Jonathan O Cole
- Psychology Research Laboratory, McLean Hospital, Belmont, MA
- Department of Psychiatry, Harvard Medical School, Boston, MA
| | | | - Jan Lerbinger
- Psychology Research Laboratory, McLean Hospital, Belmont, MA
| | - J Alexander Bodkin
- Psychology Research Laboratory, McLean Hospital, Belmont, MA
- Department of Psychiatry, Harvard Medical School, Boston, MA
| | - Philip S Holzman
- Psychology Research Laboratory, McLean Hospital, Belmont, MA
- Department of Psychiatry, Harvard Medical School, Boston, MA
| | - Deborah L Levy
- Psychology Research Laboratory, McLean Hospital, Belmont, MA
- Department of Psychiatry, Harvard Medical School, Boston, MA
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26
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Aberrant Temporal Connectivity in Persons at Clinical High Risk for Psychosis. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2017; 2:696-705. [PMID: 29202110 DOI: 10.1016/j.bpsc.2016.12.008] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Background Schizophrenia, a neurodevelopmental disorder, involves abnormalities in functional connectivity (FC) across distributed neural networks, which are thought to antedate the emergence of psychosis. In a cohort of adolescents and young adults at clinical high risk (CHR) for psychosis, we applied data-driven approaches to resting-state fMRI data so as to systematically characterize FC abnormalities during this period and determine whether these abnormalities are associated with psychosis risk and severity of psychotic symptoms. Methods Fifty-one CHR participants and 47 matched healthy controls (HCs) were included in our analyses. Twelve of these CHR participants developed psychosis within 3.9 years. We estimated one multivariate measure of FC and studied its relationship to CHR status, conversion to psychosis and positive symptom severity. Results Multivariate analyses revealed between-group differences in whole-brain connectivity patterns of bilateral temporal areas, mostly affecting their functional connections to the thalamus. Further, more severe positive symptoms were associated with greater connectivity abnormalities in the anterior cingulate and frontal cortex. Conclusions Our study demonstrates that the well-established FC abnormalities of the thalamus and temporal areas observed in schizophrenia are also present in the CHR period, with aberrant connectivity of the temporal cortex most associated with psychosis risk.
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27
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Insights into psychosis risk from leukocyte microRNA expression. Transl Psychiatry 2016; 6:e981. [PMID: 27959328 PMCID: PMC5290334 DOI: 10.1038/tp.2016.148] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2015] [Revised: 06/17/2016] [Accepted: 06/30/2016] [Indexed: 11/11/2022] Open
Abstract
Dysregulation of immune system functions has been implicated in schizophrenia, suggesting that immune cells may be involved in the development of the disorder. With the goal of a biomarker assay for psychosis risk, we performed small RNA sequencing on RNA isolated from circulating immune cells. We compared baseline microRNA (miRNA) expression for persons who were unaffected (n=27) or who, over a subsequent 2-year period, were at clinical high risk but did not progress to psychosis (n=37), or were at high risk and did progress to psychosis (n=30). A greedy algorithm process led to selection of five miRNAs that when summed with +1 weights distinguished progressed from nonprogressed subjects with an area under the receiver operating characteristic curve of 0.86. Of the five, miR-941 is human-specific with incompletely understood functions, but the other four are prominent in multiple immune system pathways. Three of those four are downregulated in progressed vs. nonprogressed subjects (with weight -1 in a classifier function that increases with risk); all three have also been independently reported as downregulated in monocytes from schizophrenia patients vs. unaffected subjects. Importantly, these findings passed stringent randomization tests that minimized the risk of conclusions arising by chance. Regarding miRNA-miRNA correlations over the three groups, progressed subjects were found to have much weaker miRNA orchestration than nonprogressed or unaffected subjects. If independently verified, the leukocytic miRNA biomarker assay might improve accuracy of psychosis high-risk assessments and eventually help rationalize preventative intervention decisions.
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28
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Woodberry KA, Seidman LJ, Bryant C, Addington J, Bearden CE, Cadenhead KS, Cannon TD, Cornblatt BA, McGlashan TH, Mathalon DH, Perkins DO, Tsuang MT, Walker EF, Woods SW. Treatment Precedes Positive Symptoms in North American Adolescent and Young Adult Clinical High Risk Cohort. JOURNAL OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY 2016; 47:69-78. [PMID: 27705009 DOI: 10.1080/15374416.2016.1212361] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Early intervention for psychotic disorders, a growing international priority, typically targets help-seeking populations with emerging psychotic ("positive") symptoms. We assessed the nature of and degree to which treatment of individuals at high risk for psychosis preceded or followed the onset of positive symptoms. The North American Prodrome Longitudinal Study-2 collected psychosocial treatment histories for 745 (98%) of 764 high-risk participants (M age = 18.9, 57% male, 57.5% Caucasian, 19.1% Hispanic) recruited from 8 North American communities. Similar to prior findings, 82% of participants reported psychosocial treatment prior to baseline assessment, albeit with significant variability across sites (71%-96%). Participants first received treatment a median of 1.7 years prior to the onset of a recognizable psychosis-risk syndrome. Only one fourth sought initial treatment in the year following syndrome onset. Although mean sample age differed significantly by site, age at initial treatment (M = 14.1, SD = 5.0) did not. High rates of early treatment prior to syndrome onset make sense in light of known developmental precursors to psychotic disorders but are inconsistent with the low rates of treatment retrospectively reported by first-episode psychosis samples. Findings suggest that psychosis risk studies and clinics may need to more actively recruit and engage symptomatic but non-help-seeking individuals and that community clinicians be better trained to recognize both positive and nonspecific indicators of emerging psychosis. Improved treatments for nonspecific symptoms, as well as the characteristic attenuated positive symptoms, are needed.
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Affiliation(s)
- Kristen A Woodberry
- a Department of Psychiatry , Beth Israel Deaconess Medical Center.,b Department of Psychiatry , Harvard Medical School
| | - Larry J Seidman
- a Department of Psychiatry , Beth Israel Deaconess Medical Center.,b Department of Psychiatry , Harvard Medical School
| | - Caitlin Bryant
- a Department of Psychiatry , Beth Israel Deaconess Medical Center
| | | | - Carrie E Bearden
- d Psychiatry and Biobehavioral Sciences and Psychology , University of California, Los Angeles
| | | | - Tyrone D Cannon
- f Department of Psychology and Department of Psychiatry , Yale University
| | | | | | - Daniel H Mathalon
- i Department of Psychiatry , University of California , San Francisco
| | | | - Ming T Tsuang
- k Department of Psychiatry , Institute of Genomic Medicine and Department of Psychiatry, University of California, San Diego
| | - Elaine F Walker
- l Department of Psychology and Psychiatry , Emory University
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29
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Deficits of cognitive theory of mind and its relationship with functioning in individuals with an at-risk mental state and first-episode psychosis. Psychiatry Res 2016; 243:318-25. [PMID: 27434201 DOI: 10.1016/j.psychres.2016.06.051] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2016] [Revised: 04/11/2016] [Accepted: 06/26/2016] [Indexed: 01/09/2023]
Abstract
Disturbance of theory of mind (ToM) and its relationship with functioning in schizophrenia is well documented; however, this is unclear in spectrum disorders like at-risk mental state (ARMS) and first-episode psychosis (FEP). To assess mental state reasoning ability, the total score of the Theory of Mind Picture Stories Task questionnaire was compared among 36 Japanese individuals with ARMS, 40 with FEP, and 25 healthy controls (HC). Pearson's correlations between ToM performance and global and social functioning indices were examined. ToM performance for FEP and ARMS subjects was significantly lower than that for HC, though the significance of the difference between the ARMS and HC disappeared when controlling for premorbid IQ. ToM deficits in ARMS subjects were confirmed only in the comprehension of higher-order false belief. Only among FEP subjects were ToM performance and global functioning significantly correlated, though the significance disappeared when controlling for neurocognitive performance or dose of antipsychotics. No significant correlation between ToM performance and social functioning was observed in the FEP and ARMS groups. The current findings suggest that ToM deficits emerge in ARMS subjects confined within a higher-order domain, and that the relationship between ToM impairment and functional deterioration might be established after psychosis onset.
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30
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Cavelti M, Homan P, Vauth R. The impact of thought disorder on therapeutic alliance and personal recovery in schizophrenia and schizoaffective disorder: An exploratory study. Psychiatry Res 2016; 239:92-8. [PMID: 27137967 DOI: 10.1016/j.psychres.2016.02.070] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2015] [Revised: 10/15/2015] [Accepted: 02/03/2016] [Indexed: 01/27/2023]
Abstract
Thought and language disorders are a main feature of schizophrenia. The aim of the study is to explore the impact of thought disorder on therapeutic alliance and personal recovery because of its interference with verbal communication. Thought disorder, positive and negative symptoms (Positive and Negative Syndrome Scale), functioning (Modified Global Assessment of Functioning scale), insight (Scale to Assess Unawareness of Mental Disorder), attachment insecurity (Psychosis Attachment Measure), therapeutic alliance (Scale to Assess the Therapeutic Relationship), and personal recovery (Recovery Assessment Scale, Integration Sealing-Over Scale) were assessed in 133 outpatients with schizophrenia or schizoaffective disorder at baseline and twelve months later. The data were analyzed by hierarchical multiple linear regression. Higher levels of thought disorder were significantly associated with lower clinicians' ratings, but not with patients' ratings of therapeutic alliance. In addition, lower clinicians' ratings of therapeutic alliance were significantly linked to a more sealing over and less integrative recovery style. In fact, the lower therapeutic alliance ratings mediated the association between thought disorder and a sealing over recovery style. The results highlight the importance of considering thought disorder in treatment of schizophrenia and schizoaffective disorder which may interfere with therapeutic alliance and treatment efforts towards recovery.
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Affiliation(s)
- Marialuisa Cavelti
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bolligenstrasse 111, CH-3000 Bern 60, Switzerland.
| | - Philipp Homan
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bolligenstrasse 111, CH-3000 Bern 60, Switzerland
| | - Roland Vauth
- Psychiatric University Clinics Basel, Center for Psychotic Disorders, Kornhausgasse 7, CH-4501 Basel, Switzerland
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Neural Dysfunction in Cognitive Control Circuits in Persons at Clinical High-Risk for Psychosis. Neuropsychopharmacology 2016; 41:1241-50. [PMID: 26354046 PMCID: PMC4793108 DOI: 10.1038/npp.2015.273] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2015] [Revised: 08/22/2015] [Accepted: 08/23/2015] [Indexed: 11/08/2022]
Abstract
Cognitive control, a set of functions that develop throughout adolescence, is important in the pathogenesis of psychotic disorders. Whether cognitive control has a role in conferring vulnerability for the development of psychotic illness is still unknown. The aim of this study was to investigate the neural systems supporting cognitive control in individuals deemed to be potentially prodromal for psychotic illness. We recruited 56 participants at clinical high-risk (CHR) for psychosis based on the Structured Interview for Psychosis-Risk Syndromes (SIPS) and 49 healthy controls. Twelve of the CHR participants eventually developed psychosis. We compared functional magnetic resonance imaging (fMRI) BOLD signal during the performance of the Simon task. We tested for differences between CHR individuals and controls in conflict-related functional activity. In the CHR group when compared with controls, we detected smaller conflict-related activations in several cortical areas, including the Dorsolateral Prefrontal Cortex (DLPFC). Furthermore, conflict-related activations in the DLPFC of those CHR individuals who ultimately developed psychosis (CHR converters) were smaller than in non-converters (CHR non-converters). Higher levels of conflict-related activation were associated with better social and role outcome. Risk for psychosis was associated at the neural level with reduced conflict-related brain activity. This neural phenotype appears correlated within the DLPFC with the development of psychosis and with functional outcome.
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Hamaie Y, Ohmuro N, Katsura M, Obara C, Kikuchi T, Ito F, Miyakoshi T, Matsuoka H, Matsumoto K. Criticism and Depression among the Caregivers of At-Risk Mental State and First-Episode Psychosis Patients. PLoS One 2016; 11:e0149875. [PMID: 26918629 PMCID: PMC4769225 DOI: 10.1371/journal.pone.0149875] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2015] [Accepted: 02/06/2016] [Indexed: 11/30/2022] Open
Abstract
Expressed emotion (EE), especially criticism, is an important predictor of outcomes for the patient for a wide range of mental health problems. To understand complex links between EE and various relevant variables in early phase psychosis, this study examined criticism, distress of caregivers, other patients’, and caregivers’ variables, and links between criticism and these variables in those with at-risk mental state (ARMS) for psychosis and first-episode psychosis (FEP). The participants were 56 patients (mean age 18.8 ± 4.2 years) with ARMS and their caregivers (49.4 ± 5.8 years) and 43 patients (21.7 ± 5.2 years) with FEP and their caregivers (49.3 ± 7.4 years). We investigated criticisms made by caregivers using the Japanese version of the Family Attitude Scale and caregiver depressive symptoms via the self-report Beck Depression Inventory. We also assessed psychiatric symptoms and functioning of the patients. Approximately one-third of caregivers of patients with ARMS or FEP had depressive symptoms, predominately with mild-to-moderate symptom levels, whereas only a small portion exhibited high criticism. The level of criticism and depression were comparable between ARMS and FEP caregivers. The link between criticism, caregivers’ depression, and patients’ symptoms were observed in FEP but not in ARMS caregivers. These findings imply that the interaction between criticism and caregivers’ and patients’ mental states may develop during or after the onset of established psychosis and interventions for the caregivers should be tailored to the patient’s specific stage of illness. Interventions for FEP caregivers should target their emotional distress and include education about patient’s general symptoms.
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Affiliation(s)
- Yumiko Hamaie
- Department of Psychiatry, Tohoku University Hospital, Sendai, Miyagi, Japan
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
- * E-mail:
| | - Noriyuki Ohmuro
- Department of Psychiatry, Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Masahiro Katsura
- Department of Psychiatry, Tohoku University Hospital, Sendai, Miyagi, Japan
| | - Chika Obara
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Tatsuo Kikuchi
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Fumiaki Ito
- Department of Psychiatry, Tohoku University Hospital, Sendai, Miyagi, Japan
| | | | - Hiroo Matsuoka
- Department of Psychiatry, Tohoku University Hospital, Sendai, Miyagi, Japan
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Kazunori Matsumoto
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
- Department of Preventive Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
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33
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Perkins DO, Jeffries CD, Cornblatt BA, Woods SW, Addington J, Bearden CE, Cadenhead KS, Cannon TD, Heinssen R, Mathalon DH, Seidman LJ, Tsuang MT, Walker EF, McGlashan TH. Severity of thought disorder predicts psychosis in persons at clinical high-risk. Schizophr Res 2015; 169:169-177. [PMID: 26441004 PMCID: PMC4681584 DOI: 10.1016/j.schres.2015.09.008] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2015] [Accepted: 09/06/2015] [Indexed: 11/29/2022]
Abstract
BACKGROUND Improving predictive accuracy is of paramount importance for early detection and prevention of psychosis. We sought a symptom severity classifier that would improve psychosis risk prediction. METHODS Subjects were from two cohorts of the North American Prodrome Longitudinal Study. All subjects met Criteria of Psychosis-Risk States. In Cohort-1 (n=296) we developed a classifier that included those items of the Scale of Psychosis-Risk Symptoms that best distinguished subjects who converted to psychosis from nonconverters, with performance initially validated by randomization tests in Cohort-1. Cohort-2 (n=592) served as an independent test set. RESULTS We derived 2-Item and 4-Item subscales. Both included unusual thought content and suspiciousness; the latter added reduced ideational richness and difficulties with focus/concentration. The Concordance Index (C-Index), a measure of discrimination, was similar for each subscale across cohorts (4-Item subscale Cohort-2: 0.71, 95% CI=[0.64, 0.77], Cohort-1: 0.74, 95% CI=[0.69, 0.80]; 2-Item subscale Cohort-2: 0.68, 95% CI=[0.3, 0.76], Cohort-1: 0.72, 95% CI=[0.66-0.79]). The 4-Item performed better than the 2-Item subscale in 742/1000 random selections of 80% subsets of Cohort-2 subjects (p-value=1.3E-55). Subscale calibration between cohorts was proportional (higher scores/lower survival), but absolute conversion risk predicted from Cohort-1 was higher than that observed in Cohort-2, reflecting the cohorts' differences in 2-year conversion rates (Cohort-2: 0.16, 95% CI=[0.13, 0.19]; Cohort-1: 0.30, 95% CI=[0.24, 0.36]). CONCLUSION Severity of unusual thought content, suspiciousness, reduced ideational richness, and difficulty with focus/concentration informed psychosis risk prediction. Scales based on these symptoms may have utility in research and, assuming further validation, eventual clinical applications.
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Affiliation(s)
- Diana O. Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill
| | - Clark D. Jeffries
- Renaissance Computing Institute, University of North Carolina, Chapel Hill NC
| | | | | | - Jean Addington
- Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Alberta, Canada
| | - Carrie E. Bearden
- Departments of Psychiatry and Biobehavioral Sciences and Psychology, UCLA, Los Angeles CA
| | | | - Tyrone D. Cannon
- Department of Psychiatry, Yale University, New Haven CT,Department of Psychology, Yale University, New Haven CT
| | | | | | - Larry J. Seidman
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston MA
| | | | - Elaine F. Walker
- Departments of Psychology and Psychiatry, Emory University, Atlanta GA
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34
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Armando M, Pontillo M, De Crescenzo F, Mazzone L, Monducci E, Lo Cascio N, Santonastaso O, Pucciarini ML, Vicari S, Schimmelmann BG, Schultze-Lutter F. Twelve-month psychosis-predictive value of the ultra-high risk criteria in children and adolescents. Schizophr Res 2015; 169:186-192. [PMID: 26526751 DOI: 10.1016/j.schres.2015.10.033] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2015] [Revised: 10/19/2015] [Accepted: 10/22/2015] [Indexed: 12/18/2022]
Abstract
OBJECTIVE The validity of current ultra-high risk (UHR) criteria is under-examined in help-seeking minors, particularly, in children below the age of 12 years. Thus, the present study investigated predictors of one-year outcome in children and adolescents (CAD) with UHR status. METHOD Thirty-five children and adolescents (age 9-17 years) meeting UHR criteria according to the Structured Interview for Psychosis-Risk Syndromes were followed-up for 12 months. Regression analyses were employed to detect baseline predictors of conversion to psychosis and of outcome of non-converters (remission and persistence of UHR versus conversion). RESULTS At one-year follow-up, 20% of patients had developed schizophrenia, 25.7% had remitted from their UHR status that, consequently, had persisted in 54.3%. No patient had fully remitted from mental disorders, even if UHR status was not maintained. Conversion was best predicted by any transient psychotic symptom and a disorganized communication score. No prediction model for outcome beyond conversion was identified. CONCLUSIONS Our findings provide the first evidence for the predictive utility of UHR criteria in CAD in terms of brief intermittent psychotic symptoms (BIPS) when accompanied by signs of cognitive impairment, i.e. disorganized communication. However, because attenuated psychotic symptoms (APS) related to thought content and perception were indicative of non-conversion at 1-year follow-up, their use in early detection of psychosis in CAD needs further study. Overall, the need for more in-depth studies into developmental peculiarities in the early detection and treatment of psychoses with an onset of illness in childhood and early adolescence was further highlighted.
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Affiliation(s)
- Marco Armando
- Child and Adolescence Neuropsychiatry Unit, Department of Neuroscience, Children Hospital Bambino Gesù, Piazza Sant'Onofrio 4, 00100 Rome, Italy; Office Médico-Pédagogique Research Unit, Department of Psychiatry, University of Geneva School of Medicine, Geneva, Switzerland.
| | - Maria Pontillo
- Child and Adolescence Neuropsychiatry Unit, Department of Neuroscience, Children Hospital Bambino Gesù, Piazza Sant'Onofrio 4, 00100 Rome, Italy
| | - Franco De Crescenzo
- Child and Adolescence Neuropsychiatry Unit, Department of Neuroscience, Children Hospital Bambino Gesù, Piazza Sant'Onofrio 4, 00100 Rome, Italy
| | - Luigi Mazzone
- Child and Adolescence Neuropsychiatry Unit, Department of Neuroscience, Children Hospital Bambino Gesù, Piazza Sant'Onofrio 4, 00100 Rome, Italy
| | - Elena Monducci
- Child and Adolescence Neuropsychiatry Unit, Department of Neuroscience, Children Hospital Bambino Gesù, Piazza Sant'Onofrio 4, 00100 Rome, Italy
| | - Nella Lo Cascio
- Child and Adolescence Neuropsychiatry Unit, Department of Neuroscience, Children Hospital Bambino Gesù, Piazza Sant'Onofrio 4, 00100 Rome, Italy; Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy
| | - Ornella Santonastaso
- Child and Adolescence Neuropsychiatry Unit, Department of Neuroscience, Children Hospital Bambino Gesù, Piazza Sant'Onofrio 4, 00100 Rome, Italy
| | - Maria Laura Pucciarini
- Child and Adolescence Neuropsychiatry Unit, Department of Neuroscience, Children Hospital Bambino Gesù, Piazza Sant'Onofrio 4, 00100 Rome, Italy
| | - Stefano Vicari
- Child and Adolescence Neuropsychiatry Unit, Department of Neuroscience, Children Hospital Bambino Gesù, Piazza Sant'Onofrio 4, 00100 Rome, Italy
| | - Benno G Schimmelmann
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bolligenstrasse 111 (Haus A), 3000 Bern 60, Switzerland
| | - Frauke Schultze-Lutter
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bolligenstrasse 111 (Haus A), 3000 Bern 60, Switzerland
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35
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Ohmuro N, Matsumoto K, Katsura M, Obara C, Kikuchi T, Hamaie Y, Sakuma A, Iizuka K, Ito F, Matsuoka H. The association between cognitive deficits and depressive symptoms in at-risk mental state: a comparison with first-episode psychosis. Schizophr Res 2015; 162:67-73. [PMID: 25618299 DOI: 10.1016/j.schres.2015.01.008] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2014] [Revised: 01/03/2015] [Accepted: 01/04/2015] [Indexed: 10/24/2022]
Abstract
Cognitive deficits and a high prevalence of depressive symptoms have been reported in at-risk mental state (ARMS) for psychosis, but the relationships between these variables remain unclear. The Brief Assessment of Cognition in Schizophrenia (BACS) was administered to 50 individuals with ARMS, 50 with first-episode psychosis (FEP), and 30 healthy controls (HC). Clinical symptoms were assessed by the Positive and Negative Syndrome Scale (PANSS) and the Beck Depression Inventory-2nd edition (BDI-II). Composite z-scores in BACS were compared between the three groups. Pearson correlations between composite z-scores on the BACS and indices of clinical symptoms were compared in the ARMS and FEP groups. The mean composite z-scores on the BACS for the ARMS (-2.82) and FEP (-2.85) groups were significantly lower than the HC group (P<0.001); no differences between the ARMS and FEP groups emerged (P=0.995). Cognitive deficits and depressive symptoms were significantly correlated in the ARMS group (PANSS depression: r=-0.36, P=0.010; BDI-II: r=-0.34, P=0.02), while the correlation between cognitive deficits and negative symptoms was significant in the FEP group (r=-0.46, P=0.001) and approached significance in the ARMS group (r=-0.25, P=0.08). The correlation between cognitive deficits and depressive symptoms significantly differed between the ARMS and FEP groups (PANSS depression: Z=2.50, P=0.012; BDI-II: Z=1.96, P=0.0499). Thus, a relationship between cognitive deficits and depression appears to be specific to ARMS compared to FEP.
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Affiliation(s)
- Noriyuki Ohmuro
- Department of Psychiatry, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan.
| | - Kazunori Matsumoto
- Department of Psychiatry, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan; Department of Preventive Psychiatry, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan.
| | - Masahiro Katsura
- Department of Psychiatry, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan.
| | - Chika Obara
- Department of Psychiatry, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan.
| | - Tatsuo Kikuchi
- Department of Psychiatry, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan.
| | - Yumiko Hamaie
- Department of Psychiatry, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan; Department of Psychiatry, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan.
| | - Atsushi Sakuma
- Department of Psychiatry, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan.
| | - Kunio Iizuka
- Department of Psychiatry, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan.
| | - Fumiaki Ito
- Department of Psychiatry, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan; Department of Psychiatry, Tohoku Pharmaceutical University Hospital, 1-12-1 Fukumuro, Miyagino-ku, Sendai, Miyagi, Japan.
| | - Hiroo Matsuoka
- Department of Psychiatry, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan; Department of Psychiatry, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan.
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36
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Schultze-Lutter F, Michel C, Schmidt SJ, Schimmelmann BG, Maric NP, Salokangas RKR, Riecher-Rössler A, van der Gaag M, Nordentoft M, Raballo A, Meneghelli A, Marshall M, Morrison A, Ruhrmann S, Klosterkötter J. EPA guidance on the early detection of clinical high risk states of psychoses. Eur Psychiatry 2015; 30:405-16. [PMID: 25735810 DOI: 10.1016/j.eurpsy.2015.01.010] [Citation(s) in RCA: 237] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2014] [Revised: 01/29/2015] [Accepted: 01/29/2015] [Indexed: 01/15/2023] Open
Abstract
The aim of this guidance paper of the European Psychiatric Association is to provide evidence-based recommendations on the early detection of a clinical high risk (CHR) for psychosis in patients with mental problems. To this aim, we conducted a meta-analysis of studies reporting on conversion rates to psychosis in non-overlapping samples meeting any at least any one of the main CHR criteria: ultra-high risk (UHR) and/or basic symptoms criteria. Further, effects of potential moderators (different UHR criteria definitions, single UHR criteria and age) on conversion rates were examined. Conversion rates in the identified 42 samples with altogether more than 4000 CHR patients who had mainly been identified by UHR criteria and/or the basic symptom criterion 'cognitive disturbances' (COGDIS) showed considerable heterogeneity. While UHR criteria and COGDIS were related to similar conversion rates until 2-year follow-up, conversion rates of COGDIS were significantly higher thereafter. Differences in onset and frequency requirements of symptomatic UHR criteria or in their different consideration of functional decline, substance use and co-morbidity did not seem to impact on conversion rates. The 'genetic risk and functional decline' UHR criterion was rarely met and only showed an insignificant pooled sample effect. However, age significantly affected UHR conversion rates with lower rates in children and adolescents. Although more research into potential sources of heterogeneity in conversion rates is needed to facilitate improvement of CHR criteria, six evidence-based recommendations for an early detection of psychosis were developed as a basis for the EPA guidance on early intervention in CHR states.
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Affiliation(s)
- F Schultze-Lutter
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - C Michel
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - S J Schmidt
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - B G Schimmelmann
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - N P Maric
- School of Medicine, University of Belgrade and Clinic of Psychiatry, Clinical Center of Serbia, Belgrade, Serbia
| | | | - A Riecher-Rössler
- Center for Gender Research and Early Detection, Psychiatric University Clinics Basel, Basel, Switzerland
| | - M van der Gaag
- Department of Clinical Psychology, VU University and EMGO Institute for Health and Care Research, Amsterdam, The Netherlands; Psychosis Research, Parnassia Psychiatric Institute, The Hague, The Netherlands
| | - M Nordentoft
- Mental Health Center Copenhagen, University of Copenhagen, Copenhagen, Denmark
| | - A Raballo
- Department of Mental Health, Reggio Emilia Public Health Centre, Reggio Emilia, Italy; Regional Working Group on Early Detection of Psychosis, Emilia Romagna Regional Health Service, Bologna, Italy
| | - A Meneghelli
- Dipartimento di Salute Mentale, Centro per l'Individuazione e l'Intervento Precoce nelle Psicosi-Programma 2000, Ospedale Niguarda Ca' Granda, Milan, Italy
| | - M Marshall
- School of Medicine, University of Manchester, Manchester, UK; LANTERN Centre, Lancashire Care NHS Foundation Trust, Preston, UK
| | - A Morrison
- School of Psychological Sciences, University of Manchester, Manchester, UK; Psychosis Research Unit, Greater Manchester West NHS Mental Health Trust, Manchester, UK
| | - S Ruhrmann
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - J Klosterkötter
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany.
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