1
|
Pelizza L, Di Lisi A, Leuci E, Quattrone E, Azzali S, Pupo S, Paulillo G, Pellegrini P, Menchetti M. Subgroups of Clinical High Risk for Psychosis Based on Baseline Antipsychotic Exposure: Clinical and Outcome Comparisons Across a 2-Year Follow-up Period. Schizophr Bull 2025; 51:432-445. [PMID: 38551332 PMCID: PMC11908853 DOI: 10.1093/schbul/sbae029] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/16/2025]
Abstract
BACKGROUND AND HYPOTHESIS Antipsychotic (AP) prescription in clinical high risk for psychosis (CHR-P) subjects remains a divisive issue. Although official guidelines currently discourage AP treatment in CHR-P, it is common in clinical practice, especially for psychosis prevention. The aim of this study was to investigate whether baseline AP need (especially in high-dose) indexes a CHR-P subgroup with poorer prognosis and differs from AP-naïve subjects in terms of sociodemographic, clinical, and outcome parameters across a 2-year follow-up. STUDY DESIGN CHR-P participants were treated within an "Early Intervention in Psychosis" program and completed the Positive and Negative Syndrome Scale (PANSS) and the Global Assessment of Functioning (GAF) scale both at baseline and every 12 months. Individuals with baseline AP prescription were included in the high-dose or low-dose CHR-P-AP+ subgroup. The others were grouped as AP-naïve. Cox regression analyses and mixed-design ANOVA were performed. STUDY RESULTS 180 CHR-P individuals were enrolled (32 high-dose, 60 low-dose, and 88 AP-naïve). Compared to AP-naive, CHR-P AP+ subgroups showed older age and more severe clinical presentation. High-dose subgroup also had grater functioning decline at entry and poorer functional recovery at follow-up. No inter-group differences in psychosis transition and symptomatic remission were found. Significant improvement in clinical outcomes were found over time in all subgroups. Baseline AP prescription was specifically associated with a more relevant improvement in PANSS total score, and in negative and disorganized symptoms. CONCLUSIONS Our results suggest that baseline AP need is an important prognostic parameter in CHR-P and should be considered in risk/benefit calculators.
Collapse
Affiliation(s)
- Lorenzo Pelizza
- Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum—Università di Bologna, Bologna, Italy
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Parma, Italy
| | - Alessandro Di Lisi
- Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum—Università di Bologna, Bologna, Italy
| | - Emanuela Leuci
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Parma, Italy
| | - Emanuela Quattrone
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Parma, Italy
| | - Silvia Azzali
- Department of Mental Health and Pathological Addiction, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Simona Pupo
- Pain Therapy Service, Department of Medicine and Surgery, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Giuseppina Paulillo
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Parma, Italy
| | - Pietro Pellegrini
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Parma, Italy
| | - Marco Menchetti
- Department of Mental Health and Pathological Addiction, Azienda USL di Parma, Parma, Italy
| |
Collapse
|
2
|
Devoe DJ, Liu L, Braun A, Cadenhead KS, Cornblatt BA, Granholm E, Addington J. Cognitive-Behavioural Social Skills Training: Mediation of Treatment Outcomes in a Randomized Controlled Trial for Youth at Risk of Psychosis: L'entraînement aux compétences sociales cognitivo-comportementales : variables médiatrices des résultats thérapeutiques dans le cadre d'un essai clinique randomisé pour les jeunes présentant un risque de psychose. CANADIAN JOURNAL OF PSYCHIATRY. REVUE CANADIENNE DE PSYCHIATRIE 2025; 70:217-228. [PMID: 39529289 PMCID: PMC11562941 DOI: 10.1177/07067437241295636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2024]
Abstract
OBJECTIVES Currently, there are no effective treatments for functional outcomes (i.e., role and social) and negative symptoms for youth at clinical high-risk (CHR) for psychosis. Investigations into possible mechanisms that may contribute to the improvement of functioning and negative symptoms are needed in CHR research to help inform psychosocial treatments. The present study examined whether functioning and negative symptoms were mediated by asocial beliefs, defeatist beliefs, self-efficacy, maladaptive schemas, anxiety, depression, social cognition, or attenuated psychotic symptoms (APS) in a large clinical trial. METHODS CHR participants (n = 203; 104 females; 99 males) were recruited as part of a three-site randomized control trial comparing group cognitive-behavioural social skills training (CBSST) versus a supportive therapy group. Mediation analyses were conducted to test the relationships between treatment group, mediators (asocial beliefs, defeatist beliefs, self-efficacy, maladaptive schemas, anxiety, depression, social cognition, and APS), and outcome (social and role functioning, and negative symptoms). The mediation analyses employed conditional process path analysis via ordinary least squares regression. RESULTS At the end of treatment, but not 12-month follow-up, more severe APS were found to mediate the impact of treatment on negative symptoms, and social and role functioning. The greater the severity of APS, the less likely that CBSST would result in improvement in negative symptoms and social and role functioning. Many of the other variables showed significant associations with social (less for role) functioning and negative symptoms but did not mediate the effect of treatment on these outcomes at the end of treatment or 12-month follow-up. CONCLUSIONS There were no significant mediators except for APS at the end of treatment. Since more severe APS may result in participants being unable to fully participate in therapy and thus limit their gains, clinical implications may include offering some individual therapy to prepare these young people to benefit from the group treatment.
Collapse
Affiliation(s)
- Daniel J. Devoe
- Department of Psychology, Mount Royal University, Calgary, Alberta, Canada
| | - Lu Liu
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Amy Braun
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Kristin S. Cadenhead
- Department of Psychiatry, University of California, San Diego, San Diego, California, USA
| | | | - Eric Granholm
- Department of Psychiatry, University of California, San Diego, San Diego, California, USA
| | - Jean Addington
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| |
Collapse
|
3
|
Jia L, Wei Z, Liu B, Yu M, Zhang X, He X, Xi Y, Chen R, Zhang X. The developmental and dynamic relationship between psychopathology and psychotic-like experiences trajectories in children and adolescents. J Affect Disord 2025; 369:95-102. [PMID: 39306006 DOI: 10.1016/j.jad.2024.09.100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 09/12/2024] [Accepted: 09/14/2024] [Indexed: 10/01/2024]
Abstract
BACKGROUND The previous cross-sectional and prospective studies have reported that psychopathology was associated with the occurrence of psychotic-like experiences (PLEs). However, few of these studies have examined this longitudinal association considering the different developmental trajectories of PLEs, as well as the growth or changes of psychopathology over time. METHODS Four waves PLEs and psychopathology assessments from Adolescent Brain Cognitive Development (ABCD) study were used. The latent class growth modeling (LCGM) and latent growth curve modeling (LGCM) was used to assess latent PLEs class (group) and time-varying psychopathology, respectively. Lastly, the multinomial logistic regression model was used to examined the dynamic and developmental relationship between intercept/slope in psychopathology and different PLEs trajectories. RESULTS Three PLEs trajectory classes were confirmed: low decreasing PLEs (84.7 %), persistent PLEs (7.01 %) and high decreasing PLEs trajectories (8.29 %). We also found that the intercept of anxious/depressed problems and total problems scales and the slope of social problems were associated with the persistent PLEs trajectory compared with the low decreasing PLEs trajectories, indicating both the early onset and the growth of psychopathology over time are needed to be clinical attention. LIMITATIONS The CBCL as the sole outcome measure for psychopathology and a widely acknowledged definition for PLEs is lacking. We lacked the mechanisms underlying the current results. CONCLUSION These longitudinal and dynamic results suggest that future intervention studies aimed at preventing the transition from persistent PLEs to psychotic disorders can focus on both the early onset and the growth of psychopathology over time.
Collapse
Affiliation(s)
- Luxia Jia
- School of Education, Guangzhou University, Guangzhou, China; Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Ziqian Wei
- Vanke School of Public Health, Tsinghua University, Beijing, China; Institute of Healthy China, Tsinghua University, Beijing, China
| | - Bowen Liu
- Vanke School of Public Health, Tsinghua University, Beijing, China; Wulituo Hospital of Beijing Shijingshan District, Beijing, China
| | - Mei Yu
- Vanke School of Public Health, Tsinghua University, Beijing, China; Institute of Healthy China, Tsinghua University, Beijing, China
| | - Xuan Zhang
- Vanke School of Public Health, Tsinghua University, Beijing, China; Institute of Healthy China, Tsinghua University, Beijing, China
| | - Xiaoxiao He
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China; National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Yingjun Xi
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China; National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Runsen Chen
- Vanke School of Public Health, Tsinghua University, Beijing, China; Institute of Healthy China, Tsinghua University, Beijing, China.
| | - Xiaoqian Zhang
- Wulituo Hospital of Beijing Shijingshan District, Beijing, China.
| |
Collapse
|
4
|
Wannan C, Scott I, Dwyer D, Clark SR, Hartmann S, Ye RR, Amminger GP, Yuen HP, Lavoie S, Markulev C, Schaefer MR, Hartmann JA, Mossaheb N, Schlögelhofer M, Smesny S, Hickie IB, Berger G, Chen EYH, de Haan L, Nieman DH, Nordentoft M, Riecher-Rössler A, Verma S, Thompson A, Yung AR, Kerr M, Spark J, Wallis N, Polari A, McGorry PD, Nelson B. Characterizing the Clinical Trajectory and Predicting Persistence and Deterioration of Attenuated Psychotic Symptoms in Ultra-High-Risk Individuals. Schizophr Bull 2024:sbae204. [PMID: 39707153 DOI: 10.1093/schbul/sbae204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2024]
Abstract
BACKGROUND Almost 40% of individuals at ultra-high risk (UHR) for psychosis experience persistent attenuated psychotic symptoms (APS) yet it is unclear (1) whether they share overlapping clinical and functional outcomes compared to individuals who transition to psychosis, (2) when symptom and functioning trajectories begin to diverge between UHR individuals with different clinical outcomes, and (3) whether non-remission (persistent APS or transition) can be predicted using baseline and/or longitudinal data. STUDY DESIGN Participants were drawn from 2 randomized clinical trials: Neurapro (n = 220; discovery sample) and STEP (n = 180; external validation sample). First, 12-24 month symptoms and functioning were compared between UHR individuals with persistent APS, sustained remission, or transition to psychosis. Next, short-term changes in symptoms and functioning were compared between groups to determine timepoints at which trajectories began to diverge. Finally, we used support vector machines to predict non-remission (persistent APS or transition) vs sustained remission using data from baseline, 6-month follow-up, and combined baseline and 6-month follow-up. RESULTS Individuals with persistent APS had substantially poorer outcomes compared to those who remitted, and more closely resembled individuals who later transitioned to psychosis. Despite few baseline differences between groups, clinical and functional trajectories of the persistent APS and transition groups rapidly diverged from those who remitted. Prediction of non-remission was poor using baseline data but improved substantially when using 6-month follow-up or combined baseline-6-month data. CONCLUSIONS Ultra-high-risk individuals with persistent APS display similar clinical and functional trajectories to transitioned cases, suggesting that more intensive and sustained intervention is required for this subgroup. However, prospective identification of individuals with poor clinical outcomes (ie, persistence or deterioration of attenuated psychotic symptoms) may require longitudinal monitoring of symptom and functioning trajectories for several months.
Collapse
Affiliation(s)
- Cassandra Wannan
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia
- Orygen, Parkville, Victoria 3052, Australia
| | - Isabelle Scott
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia
- Orygen, Parkville, Victoria 3052, Australia
| | - Dominic Dwyer
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia
- Orygen, Parkville, Victoria 3052, Australia
| | - Scott R Clark
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA 5064, Australia
- Basil Hetzel Institute, Woodville, SA 5011, Australia
| | - Simon Hartmann
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia
- Orygen, Parkville, Victoria 3052, Australia
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA 5064, Australia
| | - Rochelle Ruby Ye
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia
- Orygen, Parkville, Victoria 3052, Australia
| | - G Paul Amminger
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia
- Orygen, Parkville, Victoria 3052, Australia
| | - Hok Pan Yuen
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia
- Orygen, Parkville, Victoria 3052, Australia
| | - Suzie Lavoie
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia
- Orygen, Parkville, Victoria 3052, Australia
| | - Connie Markulev
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia
- Orygen, Parkville, Victoria 3052, Australia
| | - Miriam R Schaefer
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia
- Orygen, Parkville, Victoria 3052, Australia
| | - Jessica A Hartmann
- Department of Public Mental Health, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Heidelberg 69117, Germany
| | - Nilufar Mossaheb
- Department of Psychiatry and Psychotherapy, Clinical Division of Social Psychiatry, Medical University Vienna, 1090 Vienna, Austria
| | - Monika Schlögelhofer
- Biopsychosocial Corporation, BioPsyC, Non-Profit Association for Research Funding Ltd., 1090 Vienna, Austria
| | - Stefan Smesny
- Department of Psychiatry and Psychotherapy, University Hospital Jena, Jena 07747, Germany
| | - Ian B Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, NSW 2006, Australia
| | - Gregor Berger
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, Zurich 8057, Switzerland
| | - Eric Y H Chen
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, 2/F New Clinical Building, Queen Mary Hospital, Pok Fu Lam, Hong Kong
- The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Lieuwe de Haan
- Department of Psychiatry, Academic Medical Center, Amsterdam 1105, The Netherlands
| | - Dorien H Nieman
- Department of Psychiatry, Academic Medical Center, Amsterdam 1105, The Netherlands
| | - Merete Nordentoft
- CORE - Copenhagen Research Centre for Mental Health, Mental Health Centre Copenhagen. Mental Health Services in the Capital Region of Denmark, 2900, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200, Denmark
| | | | | | - Andrew Thompson
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia
- Orygen, Parkville, Victoria 3052, Australia
- Warwick Medical School, University of Warwick, Coventry, CV4 7AL, United Kingdom
- Orygen Specialist Program, Melbourne Health, Melbourne 3052, Australia
| | - Alison R Yung
- Institute of Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Geelong, Victoria 3220, Australia
| | - Melissa Kerr
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia
- Orygen, Parkville, Victoria 3052, Australia
| | - Jessica Spark
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia
- Orygen, Parkville, Victoria 3052, Australia
| | - Nicky Wallis
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia
- Orygen, Parkville, Victoria 3052, Australia
| | - Andrea Polari
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia
- Orygen, Parkville, Victoria 3052, Australia
- Orygen Specialist Program, Melbourne Health, Melbourne 3052, Australia
| | - Patrick D McGorry
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia
- Orygen, Parkville, Victoria 3052, Australia
| | - Barnaby Nelson
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia
- Orygen, Parkville, Victoria 3052, Australia
| |
Collapse
|
5
|
Trimmel M, Renner A, Mossaheb N, Friedrich F, Kaltenboeck A, Baumgartner JS, Kaisler RE, Litvan Z, Voice Consortium T, Hinterbuchinger B. Exploring the subjective experience of researchers and co-researchers with lived experience of psychosis high risk states: a qualitative analysis within a participatory research process. BMC Psychiatry 2024; 24:899. [PMID: 39696108 DOI: 10.1186/s12888-024-06367-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2024] [Accepted: 12/03/2024] [Indexed: 12/20/2024] Open
Abstract
BACKGROUND The involvement and engagement of people with lived experience is considered increasingly important in health research. A growing corpus of literature on the involvement of people with lived experience of mental health conditions, including people at psychosis high risk states, can be found. This study aims to explore the subjective experience of researchers and co-researchers with lived experience of psychosis high risk states who were involved in a participatory research project. METHODS In this study with a combined participatory and qualitative research approach, we used a reflexive thematic analysis approach to systematically analyse open reflection reports from researchers and co-researchers with lived experience of psychosis high risk states, who took part in a participatory research project (VOICE). All participants (n = 12) were asked to anonymously write reflection reports on their subjective experience of participatory research. There were no formal or content-related instructions for writing the reflection reports. Reflection reports provided by eight participants were qualitatively analysed. RESULTS Three themes were identified from the analysis of the reflection reports. First "When uncertainty becomes a unifying element - reflecting on expectations and roles". Second "Fostering community growth: creating an environment for collaborative teamwork as well as new and creative directions". Third "Exploring personal and scientific achievements of the project". At the outset of the research project, the researchers' focus was on expectations and reflections on their role within the project, accompanied by a feeling of uncertainty. Subsequently, a sense of community developed within a favourable study framework. Finally, attention focused on research project outcomes and personal achievements within the project. CONCLUSION The analysis of the anonymous reflection reports on a participatory research project indicates that there was a positive collaboration between participants with and without lived experience of psychosis high risk states, wherein they were able to interact on an equal footing. Participants reported an experience of equal cooperation and gained relevant personal insights from project participation. Although we do not have clear evidence of experiences of power imbalances or perceived hierarchies based on the analysed reports, these cannot be ruled out and have to be addressed in future research.
Collapse
Affiliation(s)
- Melanie Trimmel
- Clinical Division of Social Psychiatry, Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Antonia Renner
- Clinical Division of Social Psychiatry, Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Nilufar Mossaheb
- Clinical Division of Social Psychiatry, Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Fabian Friedrich
- Clinical Division of Social Psychiatry, Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Alexander Kaltenboeck
- Clinical Division of Social Psychiatry, Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Josef S Baumgartner
- Clinical Division of Social Psychiatry, Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Raphaela E Kaisler
- Department of Psychology, Bertha von Suttner Private University St. Pölten GmbH, St. Pölten, Austria
| | | | - The Voice Consortium
- Clinical Division of Social Psychiatry, Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Barbara Hinterbuchinger
- Clinical Division of Social Psychiatry, Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria.
| |
Collapse
|
6
|
Lim CYE, Mankiewicz PD. Cognitive Flexibility as a Mediator in the Relationship Between Generalized Anxiety and Paranoid Ideation: The Role of Perceived Control. J Cogn Psychother 2024; 38:294-309. [PMID: 39528298 DOI: 10.1891/jcp-2023-0034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2024]
Abstract
The clinical literature encourages further exploration of the relationship between anxiety and paranoid ideation with the overall objective of identifying processes that mitigate such relationship, thus establishing targets for cognitive intervention. Empirical studies demonstrate that increased levels of anxiety precede the emergence of paranoid cognitions. Yet, possible mediators are still to be investigated. In all, 273 adults completed a battery of standardized questionnaires, and collated data were analyzed statistically. Generalized anxiety was positively associated with paranoid ideation, for both ideas of reference and persecutory beliefs. Although the relationship was not mediated by cognitive flexibility in its entirety, perceived control over internal experiences and external events, an essential constituent of cognitive flexibility, acted as a significant mediator. The results highlight the importance of increasing adaptive perceptions of control among individuals experiencing generalized anxiety, which would likely reduce the co-occurrence of paranoid ideation and lower the risk of transitioning into clinical levels of paranoia.
Collapse
Affiliation(s)
- Carissa Y E Lim
- Department of Psychology, Faculty of Arts and Social Sciences, National University of Singapore, Singapore
| | - Pawel D Mankiewicz
- Clinical Psychology Programme and Clinical & Health Psychology Centre, Department of Psychology, Faculty of Arts and Social Sciences, National University of Singapore, Singapore
| |
Collapse
|
7
|
Spiteri-Staines AE, Yung AR, Lin A, Hartmann JA, Amminger P, McGorry PD, Thompson A, Wood SJ, Nelson B. Non-psychotic Outcomes in Young People at Ultra-High Risk of Developing a Psychotic Disorder: A Long-Term Follow-up Study. Schizophr Bull 2024; 50:1279-1286. [PMID: 38366898 PMCID: PMC11548927 DOI: 10.1093/schbul/sbae005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/18/2024]
Abstract
BACKGROUND The majority of individuals at ultra-high risk (UHR) for psychosis do not transition to a full threshold psychotic disorder. It is therefore important to understand their longer-term clinical and functional outcomes, particularly given the high prevalence of comorbid mental disorders in this population at baseline. AIMS This study investigated the prevalence of non-psychotic disorders in the UHR population at entry and long-term follow-up and their association with functional outcomes. Persistence of UHR status was also investigated. STUDY DESIGN The sample comprised 102 UHR young people from the Personal Assessment and Crisis Evaluation (PACE) Clinic who had not transitioned to psychosis by long-term follow-up (mean = 8.8 years, range = 6.8-12.1 years since baseline). RESULTS Eighty-eight percent of participants at baseline were diagnosed with at least one mental disorder, the majority of which were mood disorders (78%), anxiety disorders (35%), and substance use disorders (SUDs) (18%). This pattern of disorder prevalence continued at follow-up, though prevalence was reduced, with 52% not meeting criteria for current non-psychotic mental disorder. However, 35% of participants developed a new non-psychotic mental disorder by follow-up. Presence of a continuous non-psychotic mental disorder was associated with poorer functional outcomes at follow-up. 28% of participants still met UHR criteria at follow-up. CONCLUSIONS The study adds to the evidence base that a substantial proportion of UHR individuals who do not transition to psychosis experience persistent attenuated psychotic symptoms and persistent and incident non-psychotic disorders over the long term. Long-term treatment and re-entry into services is indicated.
Collapse
Affiliation(s)
- Anneliese E Spiteri-Staines
- Orygen, 35 Poplar Road, Parkville 3052, Victoria, Australia
- The Centre for Youth Mental Health, University of Melbourne, Parkville 3052, Australia
- Department of Social Work, Melbourne School of Health Sciences, University of Melbourne, 161 Barry St, Carlton 3053, Australia
| | - Alison R Yung
- Orygen, 35 Poplar Road, Parkville 3052, Victoria, Australia
- The Centre for Youth Mental Health, University of Melbourne, Parkville 3052, Australia
- Institute of Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Geelong, VIC 3320, Australia
| | - Ashleigh Lin
- School of Population and Global Health, University of Western Australia, Nedlands, WA 6009, Australia
| | - Jessica A Hartmann
- Orygen, 35 Poplar Road, Parkville 3052, Victoria, Australia
- The Centre for Youth Mental Health, University of Melbourne, Parkville 3052, Australia
| | - Paul Amminger
- Orygen, 35 Poplar Road, Parkville 3052, Victoria, Australia
- The Centre for Youth Mental Health, University of Melbourne, Parkville 3052, Australia
| | - Patrick D McGorry
- Orygen, 35 Poplar Road, Parkville 3052, Victoria, Australia
- The Centre for Youth Mental Health, University of Melbourne, Parkville 3052, Australia
| | - Andrew Thompson
- Orygen, 35 Poplar Road, Parkville 3052, Victoria, Australia
- The Centre for Youth Mental Health, University of Melbourne, Parkville 3052, Australia
- Division of Mental Health and Wellbeing, Warwick Medical School, University of Warwick, UK
| | - Stephen J Wood
- Orygen, 35 Poplar Road, Parkville 3052, Victoria, Australia
- The Centre for Youth Mental Health, University of Melbourne, Parkville 3052, Australia
- School of Psychology, University of Birmingham, Edgbaston, UK
| | - Barnaby Nelson
- Orygen, 35 Poplar Road, Parkville 3052, Victoria, Australia
- The Centre for Youth Mental Health, University of Melbourne, Parkville 3052, Australia
| |
Collapse
|
8
|
Hunt A, Law H, Carney R, Mulholland R, Flores A, Tudur Smith C, Varese F, Parker S, Yung AR, Bonnett LJ. Systematic review of clinical prediction models for psychosis in individuals meeting At Risk Mental State criteria. Front Psychiatry 2024; 15:1408738. [PMID: 39415891 PMCID: PMC11480010 DOI: 10.3389/fpsyt.2024.1408738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 09/04/2024] [Indexed: 10/19/2024] Open
Abstract
Objectives This study aims to review studies developing or validating a prediction model for transition to psychosis in individuals meeting At Risk Mental State (ARMS) criteria focussing on predictors that can be obtained as part of standard clinical practice. Prediction of transition is crucial to facilitating identification of patients who would benefit from cognitive behavioural therapy and, conversely, those that would benefit from less costly and less-intensive regular mental state monitoring. The review aims to determine whether prediction models rated as low risk of bias exist and, if not, what further research is needed within the field. Design Bibliographic databases (PsycINFO, Medline, EMBASE, CINAHL) were searched using index terms relating to the clinical field and prognosis from 1994, the initial year of the first prospective study using ARMS criteria, to July 2024. Screening of titles, abstracts, and subsequently full texts was conducted by two reviewers independently using predefined criteria. Study quality was assessed using the Prediction model Risk Of Bias ASessment Tool (PROBAST). Setting Studies in any setting were included. Primary and secondary outcome measures The primary outcome for the review was the identification of prediction models considering transition risk and a summary of their risk of bias. Results Forty-eight unique prediction models considering risk of transition to psychosis were identified. Variables found to be consistently important when predicting transition were age, gender, global functioning score, trait vulnerability, and unusual thought content. PROBAST criteria categorised four unique prediction models as having an overall low-risk bias. Other studies were insufficiently powered for the number of candidate predictors or lacking enough information to draw a conclusion regarding risk of bias. Conclusions Two of the 48 identified prediction models were developed using current best practice statistical methodology, validated their model in independent data, and presented low risk of bias overall in line with the PROBAST guidelines. Any new prediction model built to evaluate the risk of transition to psychosis in people meeting ARMS criteria should be informed by the latest statistical methodology and adhere to the TRIPOD reporting guidelines to ensure that clinical practice is informed by the best possible evidence. External validation of such models should be carefully planned particularly considering generalisation across different countries. Systematic review registration https://www.crd.york.ac.uk/PROSPEROFILES/108488_PROTOCOL_20191127.pdf, identifier CRD42018108488.
Collapse
Affiliation(s)
- Alexandra Hunt
- Department of Health Data Science, University of Liverpool, Liverpool, United Kingdom
| | - Heather Law
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom
- School of Health Sciences, Division of Psychology & Mental Health, University of Manchester, Manchester, United Kingdom
| | - Rebekah Carney
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom
- School of Health Sciences, Division of Psychology & Mental Health, University of Manchester, Manchester, United Kingdom
| | - Rachel Mulholland
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom
| | - Allan Flores
- Department of Health Data Science, University of Liverpool, Liverpool, United Kingdom
| | - Catrin Tudur Smith
- Department of Health Data Science, University of Liverpool, Liverpool, United Kingdom
| | - Filippo Varese
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom
- School of Health Sciences, Division of Psychology & Mental Health, University of Manchester, Manchester, United Kingdom
| | - Sophie Parker
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom
- School of Health Sciences, Division of Psychology & Mental Health, University of Manchester, Manchester, United Kingdom
| | - Alison R. Yung
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom
- School of Health Sciences, Division of Psychology & Mental Health, University of Manchester, Manchester, United Kingdom
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Geelong, VIC, Australia
| | - Laura J. Bonnett
- Department of Health Data Science, University of Liverpool, Liverpool, United Kingdom
| |
Collapse
|
9
|
Rice SM, Nelson B, Amminger GP, Francey SM, Phillips LJ, Simmons MB, Ross M, Yuen HP, Yung AR, O'Gorman K, McGorry PD, Wood SJ, Berger GE. An open label pilot trial of low-dose lithium for young people at ultra-high risk for psychosis. Early Interv Psychiatry 2024; 18:859-868. [PMID: 38600049 DOI: 10.1111/eip.13526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 02/11/2024] [Accepted: 03/28/2024] [Indexed: 04/12/2024]
Abstract
AIM Lithium, even at low doses, appears to offer neuroprotection against a wide variety of insults. In this controlled pilot, we examined the safety (i.e., side-effect profile) of lithium in a sample of young people identified at ultra-high risk (UHR) for psychosis. The secondary aim was to explore whether lithium provided a signal of clinical efficacy in reducing transition to psychosis compared with treatment as usual (TAU). METHODS Young people attending the PACE clinic at Orygen, Melbourne, were prescribed a fixed dose (450 mg) of lithium (n = 25) or received TAU (n = 78). The primary outcome examined side-effects, with transition to psychosis, functioning and measures of psychopathology assessed as secondary outcomes. RESULTS Participants in both groups were functionally compromised (lithium group GAF = 56.6; monitoring group GAF = 56.9). Side-effect assessment indicated that lithium was well-tolerated. 64% (n = 16) of participants in the lithium group were lithium-adherent to week 12. Few cases transitioned to psychosis across the study period; lithium group 4% (n = 1); monitoring group 7.7% (n = 6). There was no difference in time to transition to psychosis between the groups. No group differences were observed in other functioning and symptom domains, although all outcomes improved over time. CONCLUSIONS With a side-effect profile either comparable to, or better than UHR antipsychotic trials, lithium might be explored for further research with UHR young people. A definitive larger trial is needed to determine the efficacy of lithium in this cohort.
Collapse
Affiliation(s)
- Simon M Rice
- Orygen, Melbourne, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Barnaby Nelson
- Orygen, Melbourne, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - G Paul Amminger
- Orygen, Melbourne, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Shona M Francey
- Orygen, Melbourne, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Lisa J Phillips
- Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Victoria, Australia
| | - Magenta B Simmons
- Orygen, Melbourne, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Margaret Ross
- Orygen, Melbourne, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Hok Pan Yuen
- Orygen, Melbourne, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Alison R Yung
- Orygen, Melbourne, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Geelong, Victoria, Australia
- Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Manchester, UK
| | - Kieran O'Gorman
- Orygen, Melbourne, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Patrick D McGorry
- Orygen, Melbourne, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Stephen J Wood
- Orygen, Melbourne, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
- Institute for Mental Health, University of Birmingham, Birmingham, UK
| | - Gregor E Berger
- Orygen, Melbourne, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry, University of Zurich, Zurich, Switzerland
| |
Collapse
|
10
|
Pedruzo B, Aymerich C, Pacho M, Herrero J, Laborda M, Bordenave M, Giuliano AJ, McCutcheon RA, Gutiérrez-Rojas L, McGuire P, Stone WS, Fusar-Poli P, González-Torres MÁ, Catalan A. Longitudinal change in neurocognitive functioning in children and adolescents at clinical high risk for psychosis: a systematic review. Eur Child Adolesc Psychiatry 2024; 33:3377-3387. [PMID: 37199754 PMCID: PMC11564316 DOI: 10.1007/s00787-023-02221-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 04/29/2023] [Indexed: 05/19/2023]
Abstract
Clinical high risk of psychosis (CHR-P) population has become an attractive area of interest in preventing transitions to psychosis. The consequences of developing a psychotic disorder may be worse in cases of early onset. Thus, childhood and adolescence represent a critical developmental window, where opportunities to gain social and adaptive abilities depend on the individuals' neurocognitive performance. There have been previous syntheses of the evidence regarding neurocognitive functioning in CHR-P individuals and its longitudinal changes. However, there has been less focus on children and adolescents at CHR-P. A multistep literature search was performed from database inception until July 15th, 2022. PRIMSA/MOOSE compliant systematic review and PROSPERO protocol were used to identify studies reporting on longitudinal changes in neurocognitive functioning in children and adolescents (mean age of sample ≤ 18 years) at CHR-P and matched healthy control (HC) group. A systematic review of identified studies was then undertaken. Three articles were included, resulting in a total sample size of 151 CHR-P patients [mean (SD) age, 16.48 (2.41) years; 32.45% female] and 64 HC individuals [mean (SD) age, 16.79 (2.38) years; 42.18% female]. CHR-P individuals had worse outcomes in verbal learning, sustained attention and executive functioning domains compared to HC. Individuals taking antidepressants had better outcomes in verbal learning in contrast with those taking antipsychotics. In children and adolescents, neurocognition may be already impaired before the psychosis onset, and remains stable during the transition to psychosis. Further study should be performed to obtain more robust evidence.
Collapse
Affiliation(s)
- Borja Pedruzo
- Department of Psychiatry, Basurto University Hospital, Bilbao, Spain.
- Neuroscience Department, University of Basque Country (UPV/EHU), Leioa, Spain.
| | - Claudia Aymerich
- Department of Psychiatry, Basurto University Hospital, Bilbao, Spain
| | - Malein Pacho
- Department of Psychiatry, Basurto University Hospital, Bilbao, Spain
| | - Jon Herrero
- Department of Psychiatry, Basurto University Hospital, Bilbao, Spain
| | - María Laborda
- Department of Psychiatry, Basurto University Hospital, Bilbao, Spain
| | - Marta Bordenave
- Department of Psychiatry, Basurto University Hospital, Bilbao, Spain
| | - Anthony J Giuliano
- Worcester Recovery Center and Hospital, Massachusetts Department of Mental Health, Boston, USA
| | - Robert A McCutcheon
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Psychiatry, University of Oxford, Oxford, UK
| | | | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- National Institute for Health Research Biomedical Research Centre, London, UK
- Outreach and Support in South London Service, South London and Maudsley National Health Service Foundation Trust, London, UK
| | - William S Stone
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Paolo Fusar-Poli
- National Institute for Health Research Biomedical Research Centre, London, UK
- Outreach and Support in South London Service, South London and Maudsley National Health Service Foundation Trust, London, UK
- Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Miguel Ángel González-Torres
- Department of Psychiatry, Basurto University Hospital, Bilbao, Spain
- Neuroscience Department, University of Basque Country (UPV/EHU), Leioa, Spain
- Biocruces Bizkaia Health Research Institute, Barakaldo, Spain
- CIBERSAM. Centro Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - Ana Catalan
- Department of Psychiatry, Basurto University Hospital, Bilbao, Spain
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Neuroscience Department, University of Basque Country (UPV/EHU), Leioa, Spain
- Biocruces Bizkaia Health Research Institute, Barakaldo, Spain
- CIBERSAM. Centro Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| |
Collapse
|
11
|
Abdolizadeh A, Hosseini Kupaei M, Kambari Y, Amaev A, Korann V, Torres-Carmona E, Song J, Ueno F, Koizumi MT, Nakajima S, Agarwal SM, Gerretsen P, Graff-Guerrero A. The effect of second-generation antipsychotics on anxiety/depression in patients with schizophrenia: A systematic review and meta-analysis. Schizophr Res 2024; 270:11-36. [PMID: 38843584 DOI: 10.1016/j.schres.2024.05.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 05/06/2024] [Accepted: 05/26/2024] [Indexed: 08/13/2024]
Abstract
OBJECTIVE Despite the high prevalence of anxiety in schizophrenia, no established guideline exists for the management of these symptoms. We aimed to synthesize evidence on the effect of second-generation antipsychotics (SGAs) on anxiety in patients with schizophrenia. METHODS We systematically searched Medline, Embase, PsycInfo, Web of Science, PubMed, and Cochrane library to identify randomized controlled trials of SGAs that reporting anxiety measures in schizophrenia. The search was limited to English-language articles published before February 2024. Data were pooled using a random-effects model. RESULTS Among 48 eligible studies, 29 (n = 7712) were included in the meta-analyses comparing SGAs to placebo, haloperidol, or another SGAs for their effect on anxiety/depression. SGAs had a small effect on anxiety/depression versus placebo (SMD = -0.28 (95 % CI [-0.34, -0.21], p < .00001, I2 = 47 %, n = 5576)) associated with efficacy for positive (z = 5.679, p < .001) and negative symptoms (z = 4.490, p < .001). Furthermore, SGAs were superior to haloperidol (SMD = -0.44, 95 % CI [-0.75, -0.13], p = .005, n = 1068) with substantial study-level heterogeneity (I2 = 85 %). Excluding one study of quetiapine in first-episode patients (SMD = -3.05, n = 73), SGAs showed a small effect on anxiety/depression versus haloperidol without heterogeneity (SMD = -0.23, 95 % CI [-0.35, -0.12], p = 01; I2 = %0). Risperidone's effect on anxiety/depression was comparable to olanzapine (SMD = -0.02, 95 % CI [-0.24,0.20], p = .87, I2 = 45 %, n = 753) and amisulpride (SMD = 0.27, 95 % CI [-1.08,0.61], p = .13, I2 = 50 %, n = 315). CONCLUSION While SGAs showed a small effect on anxiety/depression, the findings are inconclusive due to scarcity of research on comorbid anxiety in schizophrenia, heterogeneity of anxiety symptoms, and the scales used to measure anxiety. Further studies employing specific anxiety scales are required to explore antipsychotics, considering their receptor affinity and augmentation with serotonin/norepinephrine reuptake inhibitors or benzodiazepines for managing anxiety in schizophrenia.
Collapse
Affiliation(s)
- Ali Abdolizadeh
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada; Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | | | - Yasaman Kambari
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada; Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Aron Amaev
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada; Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Vittal Korann
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Edgardo Torres-Carmona
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada; Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Jianmeng Song
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada; Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Fumihiko Ueno
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Michel-Teruki Koizumi
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, National Hospital Organization Shimofusa Psychiatric Medical Center, Chiba, Japan
| | - Shinichiro Nakajima
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada; Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Sri Mahavir Agarwal
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Campbell Family Mental Health Research Institute, CAMH, Toronto, ON, Canada
| | - Philip Gerretsen
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada; Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Campbell Family Mental Health Research Institute, CAMH, Toronto, ON, Canada
| | - Ariel Graff-Guerrero
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada; Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Campbell Family Mental Health Research Institute, CAMH, Toronto, ON, Canada.
| |
Collapse
|
12
|
Youn S, Guadagno BL, Byrne LK, Watson AE, Murrihy S, Cotton SM. Systematic Review and Meta-analysis: Rates of Violence During First-Episode Psychosis (FEP). Schizophr Bull 2024; 50:757-770. [PMID: 38412435 PMCID: PMC11283196 DOI: 10.1093/schbul/sbae010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
BACKGROUND Most people with psychotic disorders will never commit an act of violence. However, the risk of violence committed by people with schizophrenia is higher than the general population. Violence risk is also known to be highest during the first episode of psychosis compared to later stages of illness. Despite this, there have been no comprehensive reviews conducted in the past 10 years examining rates of violence during FEP. We aimed to provide an updated review of the rate of violence in people with FEP. STUDY DESIGN Meta-analytical techniques were used to identify pooled proportions of violence according to severity (less serious, serious, severe) and timing of violence (before presentation, at first presentation, after presentation to services). STUDY RESULTS Twenty-two studies were included. The pooled prevalence was 13.4% (95% CI [9.0%-19.5%]) for any violence, 16.3% (95% CI [9.1%-27.4%]) for less serious violence, 9.7% (95% CI [5.4%-17.0%]) for serious violence and 2.7% for severe violence, regardless of time point. The pooled prevalence of any violence was 11.6% (95% CI [6.8%-18.9%]) before presentation, 20.8% (95% CI [9.8%-38.7%]) at first presentation and 13.3% (95% CI [7.3%-23.0%]) after presentation to services. CONCLUSION Overall, rates of violence appear to be lower in more recent years. However, due to the high between-study heterogeneity related to study design, the findings must be interpreted with consideration of sample characteristics and other contextual factors. The prevalence of violence remained high at all-time points, suggesting that more targeted, holistic, and early interventions are needed for clinical FEP groups.
Collapse
Affiliation(s)
- Sarah Youn
- Orygen, 35 Poplar Road, Parkville, Melbourne, Victoria 3052, Australia
- Centre for Youth Mental Health, The University of Melbourne, 35 Poplar Road, Parkville, Melbourne, Victoria 3052, Australia
- School of Psychology, Deakin University, 1 Gheringhap Street, Geelong, Victoria 3220, Australia
| | - Belinda L Guadagno
- School of Psychology, Deakin University, 1 Gheringhap Street, Geelong, Victoria 3220, Australia
| | - Linda K Byrne
- School of Psychology, Deakin University, 1 Gheringhap Street, Geelong, Victoria 3220, Australia
- Faculty of Psychology, Counselling and Psychotherapy, The Cairnmillar Institute, 391-393 Tooroonga Road, Hawthorn East, Victoria 3123, Australia
| | - Amity E Watson
- Orygen, 35 Poplar Road, Parkville, Melbourne, Victoria 3052, Australia
- Centre for Youth Mental Health, The University of Melbourne, 35 Poplar Road, Parkville, Melbourne, Victoria 3052, Australia
| | - Sean Murrihy
- Orygen, 35 Poplar Road, Parkville, Melbourne, Victoria 3052, Australia
- Centre for Youth Mental Health, The University of Melbourne, 35 Poplar Road, Parkville, Melbourne, Victoria 3052, Australia
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Melbourne, Victoria 3010, Australia
| | - Sue M Cotton
- Orygen, 35 Poplar Road, Parkville, Melbourne, Victoria 3052, Australia
- Centre for Youth Mental Health, The University of Melbourne, 35 Poplar Road, Parkville, Melbourne, Victoria 3052, Australia
| |
Collapse
|
13
|
Wang LL, Lui SS, Chan RC. Neuropsychology and Neurobiology of Negative Schizotypy: A Selective Review. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2024; 4:100317. [PMID: 38711865 PMCID: PMC11070600 DOI: 10.1016/j.bpsgos.2024.100317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 03/09/2024] [Accepted: 04/01/2024] [Indexed: 05/08/2024] Open
Abstract
Schizotypy refers to a latent personality organization that reflects liability to schizophrenia. Because schizotypy is a multidimensional construct, people with schizotypy vary in behavioral and neurobiological features. In this article, we selectively review the neuropsychological and neurobiological profiles of people with schizotypy, with a focus on negative schizotypy. Empirical evidence is presented for alterations of neuropsychological performance in negative schizotypy. We also cover the Research Domain Criteria domains of positive valence, social process, and sensorimotor systems. Moreover, we systematically summarize the neurobiological correlates of negative schizotypy at the structural, resting-state, and task-based neural levels, as well as the neurochemical level. The convergence and inconsistency of the evidence are critically reviewed. Regarding theoretical and clinical implications, we argue that negative schizotypy represents a useful organizational framework for studying neuropsychology and neurobiology across different psychiatric disorders.
Collapse
Affiliation(s)
- Ling-ling Wang
- School of Psychology, Shanghai Normal University, Shanghai, China
| | - Simon S.Y. Lui
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Raymond C.K. Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| |
Collapse
|
14
|
Merola GP, Patti A, Benedetti D, Bozza B, Ballerini A, Ricca V. The role of psychotic-like experiences in the association between aberrant salience and anxiety: A psychopathological proposal based on a case-control study. Early Interv Psychiatry 2024; 18:535-546. [PMID: 38063066 DOI: 10.1111/eip.13490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 09/21/2023] [Accepted: 11/19/2023] [Indexed: 07/11/2024]
Abstract
AIM Aberrant salience (AS) and psychotic-like experiences (PLEs) have been proven to be linked. Moreover, anxiety is a key symptom in psychosis-prone subjects and most psychotic patients. We propose a model that attempts to interpret the role of PLEs in the association between AS and anxiety among healthy controls and psychotic patients. METHODS Demographic and psychometric data (Aberrant Salience Inventory, Community Assessment of Psychic Experiences, Symptom Check List-90-revised) from 163 controls and 44 psychotic patients was collected. Descriptive statistics, correlations, a linear regression model and a mediation analysis with covariates were subsequently performed. RESULTS AS correlated with more frequent positive PLEs and higher anxiety levels in both patients and controls. However, positive PLEs' frequency mediated the relationship between AS and anxiety only among controls. CONCLUSIONS PLEs linked to AS appear to induce anxiety among the control group but not among psychotic patients. The progressive loss of both novelty and insight, which may, respectively, impair the somatic emotional reactivity to PLEs and the ability to recognize some bodily phenomena as the embodied correlates of anxiety, is seen as the most probable theoretical explanation.
Collapse
Affiliation(s)
| | - Andrea Patti
- Psychiatry Unit, Department of Health Sciences, University of Florence, Florence, Italy
| | - Davide Benedetti
- Psychiatry Unit, Department of Health Sciences, University of Florence, Florence, Italy
| | - Bernardo Bozza
- Psychiatry Unit, Department of Health Sciences, University of Florence, Florence, Italy
| | - Andrea Ballerini
- Psychiatry Unit, Department of Health Sciences, University of Florence, Florence, Italy
| | - Valdo Ricca
- Psychiatry Unit, Department of Health Sciences, University of Florence, Florence, Italy
| |
Collapse
|
15
|
Aversa S, Ghanem J, Grunfeld G, Lemonde AC, Malla A, Iyer S, Joober R, Lepage M, Shah J. Sociodemographic and clinical correlates of hallucinations in patients entering an early intervention program for first episode psychosis. Schizophr Res 2024; 269:86-92. [PMID: 38754313 DOI: 10.1016/j.schres.2024.04.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 03/28/2024] [Accepted: 04/27/2024] [Indexed: 05/18/2024]
Abstract
Hallucinations are a core feature of psychosis, and their severity during the acute phase of illness is associated with a range of poor outcomes. Various clinical and sociodemographic factors may predict hallucinations and other positive psychotic symptoms in first episode psychosis (FEP). Despite this, the precise factors associated with hallucinations at first presentation to an early intervention service have not been extensively researched. Through detailed interviews and chart reviews, we investigated sociodemographic and clinical predictors in 636 minimally-medicated patients who entered PEPP-Montréal, an early intervention service for FEP, between 2003 and 2018. Hallucinations were measured using the Scale for the Assessment of Positive Symptoms (SAPS), while negative symptoms were assessed using the Scale for the Assessment of Negative symptoms (SANS). Depressive symptoms were evaluated through the Calgary Depression Scale for Schizophrenia (CDSS), and anxiety symptoms via the Hamilton Rating Scale for Anxiety (HAS). A majority (n = 381, 59.9 %) of the sample presented with clinically significant hallucinations (SAPS global hallucinations score ≥ 3) at program entry. These patients had an earlier age at onset, fewer years of education, and a higher severity of delusions, depression and negative symptoms than those without clinical-level hallucinations. These results suggest that individuals with clinically significant hallucinations at admission tend to be younger and have a greater overall symptom burden. This makes it especially important to monitor hallucinations alongside delusions, depression and negative symptoms in order to identify who might benefit from targeted interventions. The implications of these findings for early intervention and person-centered care are discussed.
Collapse
Affiliation(s)
- Samantha Aversa
- Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, 7070 Champlain Blvd, Verdun, Montreal, Quebec H4H 1A8, Canada.
| | - Joseph Ghanem
- Douglas Mental Health University Institute, 6875 Bd LaSalle, Verdun, Montreal, QC H4H 1R3, Canada; Department of Psychology, Faculty of Science, McGill University, 2001 Av. McGill College, Montréal, QC H3A 1G1, Canada.
| | - Gili Grunfeld
- Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, 7070 Champlain Blvd, Verdun, Montreal, Quebec H4H 1A8, Canada; Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, 1033 Pine Ave W, Montreal, Quebec H3A 1A1, Canada.
| | - Ann-Catherine Lemonde
- Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, 7070 Champlain Blvd, Verdun, Montreal, Quebec H4H 1A8, Canada; Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, 1033 Pine Ave W, Montreal, Quebec H3A 1A1, Canada.
| | - Ashok Malla
- Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, 7070 Champlain Blvd, Verdun, Montreal, Quebec H4H 1A8, Canada; Douglas Mental Health University Institute, 6875 Bd LaSalle, Verdun, Montreal, QC H4H 1R3, Canada; Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, 1033 Pine Ave W, Montreal, Quebec H3A 1A1, Canada.
| | - Srividya Iyer
- Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, 7070 Champlain Blvd, Verdun, Montreal, Quebec H4H 1A8, Canada; Douglas Mental Health University Institute, 6875 Bd LaSalle, Verdun, Montreal, QC H4H 1R3, Canada; Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, 1033 Pine Ave W, Montreal, Quebec H3A 1A1, Canada.
| | - Ridha Joober
- Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, 7070 Champlain Blvd, Verdun, Montreal, Quebec H4H 1A8, Canada; Douglas Mental Health University Institute, 6875 Bd LaSalle, Verdun, Montreal, QC H4H 1R3, Canada; Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, 1033 Pine Ave W, Montreal, Quebec H3A 1A1, Canada.
| | - Martin Lepage
- Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, 7070 Champlain Blvd, Verdun, Montreal, Quebec H4H 1A8, Canada; Douglas Mental Health University Institute, 6875 Bd LaSalle, Verdun, Montreal, QC H4H 1R3, Canada; Department of Psychology, Faculty of Science, McGill University, 2001 Av. McGill College, Montréal, QC H3A 1G1, Canada; Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, 1033 Pine Ave W, Montreal, Quebec H3A 1A1, Canada.
| | - Jai Shah
- Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, 7070 Champlain Blvd, Verdun, Montreal, Quebec H4H 1A8, Canada; Douglas Mental Health University Institute, 6875 Bd LaSalle, Verdun, Montreal, QC H4H 1R3, Canada; Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, 1033 Pine Ave W, Montreal, Quebec H3A 1A1, Canada.
| |
Collapse
|
16
|
Wang F, Huang ZH, Ye Y, He XY, Wang SB, Jia FJ, Hou CL. Genome-wide association exploratory studies in individuals with ultra-high risk for schizophrenia in Chinese Han nationality in two years follow-up: A subpopulation study. Asian J Psychiatr 2024; 97:104071. [PMID: 38810489 DOI: 10.1016/j.ajp.2024.104071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 04/27/2024] [Accepted: 05/11/2024] [Indexed: 05/31/2024]
Abstract
BACKGROUND Although ultra-high risk for schizophrenia (UHR) is related to both genetic and environment factors, the precise pathogenesis is still unknow. To date, few studies have explored the Genome-Wide Association Studies (GWAS) in UHR or HR individuals especially in Han population in China. METHODS In this study, a GWAS analysis for 36 participants with UHR and 43 with HR were performed, and all deletion variations in 22q11 region were also compared. RESULTS Sixteen individuals with UHR (44.4%) and none with HR converted into schizophrenia in follow-up after two years. Six loci including neurexin-1(NRXN1) (rs1045881), dopamine D1 receptor (DRD1) (rs686, rs4532), chitinase-3-like protein 1 (CHI3L1) (rs4950928), velocardiofacial syndrome (ARVCF) (rs165815), dopamine D2 receptor (DRD2) (rs1076560) were identified higher expression with significant difference in individuals converted into schizophrenia after two years. The Family with Sequence Similarity 230 Member H (FAM230H) gene in the 22q11 region were also found high expression in UHR group. CONCLUSIONS Further expansion of sample size and validation studies are needed to explore the pathogenesis of these risk loci in UHR conversion into schizophrenia in the future.
Collapse
Affiliation(s)
- Fei Wang
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Zhuo-Hui Huang
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Ye Ye
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Xiao-Yan He
- Wuxi Mental Health Center, Jiangsu Province 214151, China
| | - Shi-Bin Wang
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Fu-Jun Jia
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Cai-Lan Hou
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China.
| |
Collapse
|
17
|
Tsai CL, Chu CM, Lane HY, Chen SL, Tu CH, Ma WF. The Comparison of Lifestyles, Mental Risks, and Physical Indices among Individuals with Ultra-High Risk of Psychosis, Patients with Schizophrenia, and the General Public. Behav Sci (Basel) 2024; 14:395. [PMID: 38785886 PMCID: PMC11118771 DOI: 10.3390/bs14050395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Revised: 05/01/2024] [Accepted: 05/08/2024] [Indexed: 05/25/2024] Open
Abstract
(1) Background: Early interventions may effectively reduce the risk of mental disorders in individuals with ultra-high risk. Specifying the health needs of individuals with ultra-high risk is crucial before the implementation of successful early intervention. This study aimed to explore the differences in lifestyles, mental risks, and physical indices among individuals with ultra-high risk, patients with schizophrenia, and healthy subjects. (2) Methods: A cross-section design applying seven questionnaires with physical examinations for 144 participants aged 13-45 years old was conducted in this study. The questionnaires included one about personal data, four on mental risks, and two for lifestyles. (3) Results: The individuals with ultra-high risk scored similarly in many dimensions as the patients with schizophrenia, but they displayed lower positive symptoms, lower negative symptoms, lower prodromal symptoms, higher interpersonal deficits, lower nutrition intake, and higher levels of exercise than the patients with schizophrenia. Female individuals with ultra-high risk had lower self-esteem, higher positive symptoms, lower nutrition intake, and higher exercise levels than male ones. (4) Conclusions: The study pinpointed specific health needs with interpersonal deficits, nutrition intake, and physical activity for the individuals with ultra-high risk. Future interventions targeted on improving social function, dietary pattern, and exercise will be beneficial.
Collapse
Affiliation(s)
- Ching-Lun Tsai
- Department of Research and Development, BIOZOE Co., Ltd., Taichung 404, Taiwan;
| | - Chi-Ming Chu
- School of Public Health, National Defense Medical Center, Taipei 114, Taiwan;
- Big Data Research Center, Fu-Jen Catholic University, New Taipei City 242, Taiwan
- Department of Public Health, School of Public Health, China Medical University, Taichung 404, Taiwan
- Department of Public Health, Kaohsiung Medical University, Kaohsiung 807, Taiwan
| | - Hsien-Yuan Lane
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung 404, Taiwan;
- Department of Psychiatry, China Medical University Hospital, Taichung 404, Taiwan
- Department of Psychology, College of Medical and Health Sciences, Asia University, Taichung 413, Taiwan
| | - Shiah-Lian Chen
- Department of Nursing, National Taichung University of Science and Technology, Taichung 403, Taiwan;
| | - Cheng-Hao Tu
- Graduate Institute of Acupuncture Science, China Medical University, Taichung 404, Taiwan;
| | - Wei-Fen Ma
- School of Nursing, China Medical University, Taichung 404, Taiwan
- Department of Nursing, China Medical University Hospital, Taichung 404, Taiwan
| |
Collapse
|
18
|
Wannan CMJ, Nelson B, Addington J, Allott K, Anticevic A, Arango C, Baker JT, Bearden CE, Billah T, Bouix S, Broome MR, Buccilli K, Cadenhead KS, Calkins ME, Cannon TD, Cecci G, Chen EYH, Cho KIK, Choi J, Clark SR, Coleman MJ, Conus P, Corcoran CM, Cornblatt BA, Diaz-Caneja CM, Dwyer D, Ebdrup BH, Ellman LM, Fusar-Poli P, Galindo L, Gaspar PA, Gerber C, Glenthøj LB, Glynn R, Harms MP, Horton LE, Kahn RS, Kambeitz J, Kambeitz-Ilankovic L, Kane JM, Kapur T, Keshavan MS, Kim SW, Koutsouleris N, Kubicki M, Kwon JS, Langbein K, Lewandowski KE, Light GA, Mamah D, Marcy PJ, Mathalon DH, McGorry PD, Mittal VA, Nordentoft M, Nunez A, Pasternak O, Pearlson GD, Perez J, Perkins DO, Powers AR, Roalf DR, Sabb FW, Schiffman J, Shah JL, Smesny S, Spark J, Stone WS, Strauss GP, Tamayo Z, Torous J, Upthegrove R, Vangel M, Verma S, Wang J, Rossum IWV, Wolf DH, Wolff P, Wood SJ, Yung AR, Agurto C, Alvarez-Jimenez M, Amminger P, Armando M, Asgari-Targhi A, Cahill J, Carrión RE, Castro E, Cetin-Karayumak S, Mallar Chakravarty M, Cho YT, Cotter D, D’Alfonso S, Ennis M, Fadnavis S, Fonteneau C, Gao C, Gupta T, Gur RE, Gur RC, et alWannan CMJ, Nelson B, Addington J, Allott K, Anticevic A, Arango C, Baker JT, Bearden CE, Billah T, Bouix S, Broome MR, Buccilli K, Cadenhead KS, Calkins ME, Cannon TD, Cecci G, Chen EYH, Cho KIK, Choi J, Clark SR, Coleman MJ, Conus P, Corcoran CM, Cornblatt BA, Diaz-Caneja CM, Dwyer D, Ebdrup BH, Ellman LM, Fusar-Poli P, Galindo L, Gaspar PA, Gerber C, Glenthøj LB, Glynn R, Harms MP, Horton LE, Kahn RS, Kambeitz J, Kambeitz-Ilankovic L, Kane JM, Kapur T, Keshavan MS, Kim SW, Koutsouleris N, Kubicki M, Kwon JS, Langbein K, Lewandowski KE, Light GA, Mamah D, Marcy PJ, Mathalon DH, McGorry PD, Mittal VA, Nordentoft M, Nunez A, Pasternak O, Pearlson GD, Perez J, Perkins DO, Powers AR, Roalf DR, Sabb FW, Schiffman J, Shah JL, Smesny S, Spark J, Stone WS, Strauss GP, Tamayo Z, Torous J, Upthegrove R, Vangel M, Verma S, Wang J, Rossum IWV, Wolf DH, Wolff P, Wood SJ, Yung AR, Agurto C, Alvarez-Jimenez M, Amminger P, Armando M, Asgari-Targhi A, Cahill J, Carrión RE, Castro E, Cetin-Karayumak S, Mallar Chakravarty M, Cho YT, Cotter D, D’Alfonso S, Ennis M, Fadnavis S, Fonteneau C, Gao C, Gupta T, Gur RE, Gur RC, Hamilton HK, Hoftman GD, Jacobs GR, Jarcho J, Ji JL, Kohler CG, Lalousis PA, Lavoie S, Lepage M, Liebenthal E, Mervis J, Murty V, Nicholas SC, Ning L, Penzel N, Poldrack R, Polosecki P, Pratt DN, Rabin R, Rahimi Eichi H, Rathi Y, Reichenberg A, Reinen J, Rogers J, Ruiz-Yu B, Scott I, Seitz-Holland J, Srihari VH, Srivastava A, Thompson A, Turetsky BI, Walsh BC, Whitford T, Wigman JTW, Yao B, Yuen HP, Ahmed U, Byun A(JS, Chung Y, Do K, Hendricks L, Huynh K, Jeffries C, Lane E, Langholm C, Lin E, Mantua V, Santorelli G, Ruparel K, Zoupou E, Adasme T, Addamo L, Adery L, Ali M, Auther A, Aversa S, Baek SH, Bates K, Bathery A, Bayer JMM, Beedham R, Bilgrami Z, Birch S, Bonoldi I, Borders O, Borgatti R, Brown L, Bruna A, Carrington H, Castillo-Passi RI, Chen J, Cheng N, Ching AE, Clifford C, Colton BL, Contreras P, Corral S, Damiani S, Done M, Estradé A, Etuka BA, Formica M, Furlan R, Geljic M, Germano C, Getachew R, Goncalves M, Haidar A, Hartmann J, Jo A, John O, Kerins S, Kerr M, Kesselring I, Kim H, Kim N, Kinney K, Krcmar M, Kotler E, Lafanechere M, Lee C, Llerena J, Markiewicz C, Matnejl P, Maturana A, Mavambu A, Mayol-Troncoso R, McDonnell A, McGowan A, McLaughlin D, McIlhenny R, McQueen B, Mebrahtu Y, Mensi M, Hui CLM, Suen YN, Wong SMY, Morrell N, Omar M, Partridge A, Phassouliotis C, Pichiecchio A, Politi P, Porter C, Provenzani U, Prunier N, Raj J, Ray S, Rayner V, Reyes M, Reynolds K, Rush S, Salinas C, Shetty J, Snowball C, Tod S, Turra-Fariña G, Valle D, Veale S, Whitson S, Wickham A, Youn S, Zamorano F, Zavaglia E, Zinberg J, Woods SW, Shenton ME. Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis. Schizophr Bull 2024; 50:496-512. [PMID: 38451304 PMCID: PMC11059785 DOI: 10.1093/schbul/sbae011] [Show More Authors] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/08/2024]
Abstract
This article describes the rationale, aims, and methodology of the Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ). This is the largest international collaboration to date that will develop algorithms to predict trajectories and outcomes of individuals at clinical high risk (CHR) for psychosis and to advance the development and use of novel pharmacological interventions for CHR individuals. We present a description of the participating research networks and the data processing analysis and coordination center, their processes for data harmonization across 43 sites from 13 participating countries (recruitment across North America, Australia, Europe, Asia, and South America), data flow and quality assessment processes, data analyses, and the transfer of data to the National Institute of Mental Health (NIMH) Data Archive (NDA) for use by the research community. In an expected sample of approximately 2000 CHR individuals and 640 matched healthy controls, AMP SCZ will collect clinical, environmental, and cognitive data along with multimodal biomarkers, including neuroimaging, electrophysiology, fluid biospecimens, speech and facial expression samples, novel measures derived from digital health technologies including smartphone-based daily surveys, and passive sensing as well as actigraphy. The study will investigate a range of clinical outcomes over a 2-year period, including transition to psychosis, remission or persistence of CHR status, attenuated positive symptoms, persistent negative symptoms, mood and anxiety symptoms, and psychosocial functioning. The global reach of AMP SCZ and its harmonized innovative methods promise to catalyze the development of new treatments to address critical unmet clinical and public health needs in CHR individuals.
Collapse
Affiliation(s)
- Cassandra M J Wannan
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Barnaby Nelson
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Jean Addington
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Kelly Allott
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Alan Anticevic
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, Instituto de Salud Carlos III, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Justin T Baker
- Department of Psychiatry, McLean Hospital and Harvard Medical School, Boston, MA, USA
| | - Carrie E Bearden
- Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Tashrif Billah
- Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Sylvain Bouix
- Department of Software Engineering and Information Technology, École de technologie supérieure, Montréal, Canada
| | - Matthew R Broome
- School of Psychology, Institute for Mental Health, University of Birmingham, Birmingham, UK
- Early Intervention for Psychosis Services, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham, UK
| | - Kate Buccilli
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | | | - Monica E Calkins
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Tyrone D Cannon
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychology, Yale University, New Haven, CT, USA
| | | | - Eric Yu Hai Chen
- Department of Psychiatry, University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Kang Ik K Cho
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jimmy Choi
- Olin Neuropsychiatry Research Center, Hartford Hospital, Hartford, CT, USA
| | - Scott R Clark
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
- Basil Hetzel Institute, Woodville, SA, Australia
| | - Michael J Coleman
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Philippe Conus
- General Psychiatry Service, Treatment and Early Intervention in Psychosis Program (TIPP–Lausanne), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Cheryl M Corcoran
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Barbara A Cornblatt
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Covadonga M Diaz-Caneja
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, Instituto de Salud Carlos III, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Dominic Dwyer
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Bjørn H Ebdrup
- Centre for Neuropsychiatric Schizophrenia Research, CNSR Mental Health Centre, Glostrup, Copenhagen, Denmark
| | - Lauren M Ellman
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, USA
| | - Paolo Fusar-Poli
- Department of Psychosis Studies, King’s College London, London, UK
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Liliana Galindo
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Pablo A Gaspar
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
| | - Carla Gerber
- Behavioral Health Services, PeaceHealth Medical Group, Eugene, OR, USA
| | - Louise Birkedal Glenthøj
- Copenhagen Research Centre for Mental Health, Mental Health Copenhagen, University of Copenhagen, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Robert Glynn
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health and Harvard Medical School, Boston, MA, USA
| | - Michael P Harms
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Leslie E Horton
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - René S Kahn
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Joseph Kambeitz
- Department of Psychiatry, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Lana Kambeitz-Ilankovic
- Department of Psychiatry, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - John M Kane
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Tina Kapur
- Department of Radiology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Sung-Wan Kim
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
- Mindlink, Gwangju Bukgu Mental Health Center, Gwangju, Korea
| | - Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, Ludwig Maximilian University of Munich, Munich, Germany
| | - Marek Kubicki
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jun Soo Kwon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Korea
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Korea
| | - Kerstin Langbein
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Kathryn E Lewandowski
- Department of Psychiatry, McLean Hospital and Harvard Medical School, Boston, MA, USA
| | - Gregory A Light
- Department of Psychiatry, University of California, San Diego, CA, USA
- Veterans Affairs San Diego Health Care System, San Diego, CA, USA
| | - Daniel Mamah
- Department of Psychiatry, Washington University Medical School, St. Louis, MO, USA
| | | | - 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
| | - Patrick D McGorry
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Vijay A Mittal
- Department of Psychology, Northwestern University, Evanston, IL, USA
| | - Merete Nordentoft
- Copenhagen Research Centre for Mental Health, Mental Health Copenhagen, University of Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Angela Nunez
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Ofer Pasternak
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Godfrey D Pearlson
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Olin Neuropsychiatry Research Center, Hartford Hospital, Hartford, CT, USA
| | - Jesus Perez
- CAMEO, Early Intervention in Psychosis Service, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
- Department of Medicine, Institute of Biomedical Research (IBSAL), Universidad de Salamanca, Salamanca, Spain
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Albert R Powers
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - David R Roalf
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Fred W Sabb
- Prevention Science Institute, University of Oregon, Eugene, OR, USA
| | - Jason Schiffman
- Department of Psychological Science, University of California, Irvine, Irvine, CA, 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
| | - Jessica Spark
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - William S Stone
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | | | - Zailyn Tamayo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - John Torous
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
| | - Rachel Upthegrove
- Department of Software Engineering and Information Technology, École de technologie supérieure, Montréal, Canada
- Birmingham Womens and Childrens, NHS Foundation Trust, Birmingham, UK
| | - Mark Vangel
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Swapna Verma
- Department of Psychosis, Institute of Mental Health, Singapore
| | - Jijun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Inge Winter-van Rossum
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Daniel H Wolf
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Phillip Wolff
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Stephen J Wood
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
- School of Psychology, University of Birmingham, Edgbaston, UK
| | - Alison R Yung
- Institute of Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Geelong, VIC, Australia
- School of Health Sciences, University of Manchester, Manchester, UK
| | - Carla Agurto
- IBM T.J. Watson Research Center, Yorktown Heights, NY, USA
| | - Mario Alvarez-Jimenez
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Paul Amminger
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Marco Armando
- Youth Early Detection/Intervention in Psychosis Platform (Plateforme ERA), Service of Child and Adolescent Psychiatry, Department of Psychiatry, Lausanne University Hospital and The University of Lausanne, Lausanne, Switzerland
| | | | - John Cahill
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Ricardo E Carrión
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Eduardo Castro
- IBM T.J. Watson Research Center, Yorktown Heights, NY, USA
| | - Suheyla Cetin-Karayumak
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | | | - Youngsun T Cho
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - David Cotter
- Department Psychiatry, Beaumont Hospital, Dublin 9, Ireland
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin 2, Ireland
| | - Simon D’Alfonso
- School of Computing and Information Systems, The University of Melbourne, Parkville, VIC, Australia
| | - Michaela Ennis
- Department of Psychiatry, McLean Hospital and Harvard Medical School, Boston, MA, USA
| | - Shreyas Fadnavis
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Clara Fonteneau
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Caroline Gao
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Tina Gupta
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Raquel E Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ruben C Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Holly K Hamilton
- Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Gil D Hoftman
- Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Grace R Jacobs
- Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Johanna Jarcho
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, USA
| | - Jie Lisa Ji
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Christian G Kohler
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Paris Alexandros Lalousis
- School of Psychology, Institute for Mental Health, University of Birmingham, Birmingham, UK
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK
| | - Suzie Lavoie
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Martin Lepage
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Einat Liebenthal
- Program for Specialized Treatment Early in Psychosis (STEP), CMHC, New Haven, CT, USA
| | - Josh Mervis
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, USA
| | - Vishnu Murty
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, USA
| | - Spero C Nicholas
- Department of Psychiatry, Washington University Medical School, St. Louis, MO, USA
| | - Lipeng Ning
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Radiology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Nora Penzel
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Russell Poldrack
- Department of Psychology, Stanford University, Stanford, CA, USA
| | | | - Danielle N Pratt
- Department of Psychology, Northwestern University, Evanston, IL, USA
| | - Rachel Rabin
- PEPP-Montreal, Douglas Research Centre, Montreal, Quebec, Canada
| | | | - Yogesh Rathi
- Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Avraham Reichenberg
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jenna Reinen
- IBM T.J. Watson Research Center, Yorktown Heights, NY, USA
| | - Jack Rogers
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK
| | - Bernalyn Ruiz-Yu
- Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Isabelle Scott
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Johanna Seitz-Holland
- Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Vinod H Srihari
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Program for Specialized Treatment Early in Psychosis (STEP), CMHC, New Haven, CT, USA
| | - Agrima Srivastava
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Andrew Thompson
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Bruce I Turetsky
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Barbara C Walsh
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Thomas Whitford
- Orygen, Parkville, VIC, Australia
- School of Psychology, University of New South Wales (UNSW), Kensington, NSW, Australia
| | - Johanna T W Wigman
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center,Groningen, Netherlands
| | - Beier Yao
- Department of Psychiatry, McLean Hospital and Harvard Medical School, Boston, MA, USA
| | - Hok Pan Yuen
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | | | - Andrew (Jin Soo) Byun
- Division of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Yoonho Chung
- Department of Psychiatry, McLean Hospital and Harvard Medical School, Boston, MA, USA
| | - Kim Do
- Department of Psychiatry, Center for Psychiatric Neuroscience, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Lausanne, Switzerland
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience King’s College London, London, UK
| | - Larry Hendricks
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Kevin Huynh
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Clark Jeffries
- Renaissance Computing Institute, University of North Carolina, Chapel Hill, NC, USA
| | - Erlend Lane
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Carsten Langholm
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Eric Lin
- Department of Psychiatry, McLean Hospital and Harvard Medical School, Boston, MA, USA
- Medical Informatics Fellowship, Veteran Affairs Boston Healthcare System, Boston, MA, USA
- Food and Drug Administration, Silver Spring, MD, USA
| | - Valentina Mantua
- Department of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, USA
| | - Gennarina Santorelli
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
| | - Kosha Ruparel
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Eirini Zoupou
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Tatiana Adasme
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
| | - Lauren Addamo
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Laura Adery
- Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Munaza Ali
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Andrea Auther
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Samantha Aversa
- PEPP-Montreal, Douglas Research Centre, Montreal, Quebec, Canada
| | - Seon-Hwa Baek
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
- Mindlink, Gwangju Bukgu Mental Health Center, Gwangju, Korea
| | - Kelly Bates
- Department of Psychology, Northwestern University, Evanston, IL, USA
| | - Alyssa Bathery
- Department of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, USA
| | - Johanna M M Bayer
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Rebecca Beedham
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Zarina Bilgrami
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Sonia Birch
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Ilaria Bonoldi
- Department of Psychosis Studies, King’s College London, London, UK
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Owen Borders
- Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Renato Borgatti
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- IRCCS Mondino Foundation, Pavia, Italy
| | - Lisa Brown
- Department of Radiology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Alejandro Bruna
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
| | - Holly Carrington
- Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Rolando I Castillo-Passi
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
- Department of Neurology and Psychiatry, Clínica Alemana—Universidad del Desarrollo, Santiago, Chile
| | - Justine Chen
- Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Nicholas Cheng
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Ann Ee Ching
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Chloe Clifford
- School of Psychology, Institute for Mental Health, University of Birmingham, Birmingham, UK
| | - Beau-Luke Colton
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Pamela Contreras
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
| | - Sebastián Corral
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
| | - Stefano Damiani
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Monica Done
- Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Andrés Estradé
- Early Psychosis Detection and Clinical Intervention (EPIC) Lab, Department of Psychosis Studies, King’s College London, London, UK
| | - Brandon Asika Etuka
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Melanie Formica
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Rachel Furlan
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, USA
| | - Mia Geljic
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Carmela Germano
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Ruth Getachew
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | | | - Anastasia Haidar
- Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Jessica Hartmann
- Department of Public Mental Health, Central Institute of Mental Health, Heidelberg Univeristy, Mannheim, Germany
| | - Anna Jo
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
| | - Omar John
- Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Sarah Kerins
- Early Psychosis Detection and Clinical Intervention (EPIC) Lab, Department of Psychosis Studies, King’s College London, London, UK
| | - Melissa Kerr
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Irena Kesselring
- Department of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, USA
| | - Honey Kim
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
| | - Nicholas Kim
- Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Kyle Kinney
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, USA
| | - Marija Krcmar
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Elana Kotler
- Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Melanie Lafanechere
- School of Psychology, University of Birmingham, Edgbaston, UK
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK
| | - Clarice Lee
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Joshua Llerena
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | | | | | | | - Aissata Mavambu
- School of Psychology, Institute for Mental Health, University of Birmingham, Birmingham, UK
| | | | - Amelia McDonnell
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, USA
| | - Alessia McGowan
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Rebecca McIlhenny
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Brittany McQueen
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Yohannes Mebrahtu
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Martina Mensi
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- IRCCS Mondino Foundation, Pavia, Italy
| | | | - Yi Nam Suen
- Department of Psychiatry, University of Hong Kong, Pok Fu Lam, Hong Kong
| | | | - Neal Morrell
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Mariam Omar
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Alice Partridge
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Christina Phassouliotis
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Anna Pichiecchio
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- Neuroradiology Department, IRCCS Mondino Foundation, Pavia, Italy
| | - Pierluigi Politi
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Christian Porter
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Umberto Provenzani
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Nicholas Prunier
- Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Jasmine Raj
- Department of Psychology, Northwestern University, Evanston, IL, USA
| | - Susan Ray
- Northwell Health, Glen Oaks, NY, USA
| | - Victoria Rayner
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Manuel Reyes
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
- Department of Neurology and Psychiatry, Clínica Alemana—Universidad del Desarrollo, Santiago, Chile
| | - Kate Reynolds
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Sage Rush
- Department of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, USA
| | - Cesar Salinas
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
| | - Jashmina Shetty
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Callum Snowball
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Sophie Tod
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | | | - Daniela Valle
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
| | - Simone Veale
- Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Sarah Whitson
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Alana Wickham
- Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Sarah Youn
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, Parkville, VIC, Australia
| | - Francisco Zamorano
- Unidad de imágenes cuantitativas avanzadas, departamento de imágenes, clínica alemana, universidad del Desarrollo, Santiago, Chile
- Facultad de ciencias para el cuidado de la salud, Universidad San Sebastián, Campus Los Leones, Santiago, Chile
| | - Elissa Zavaglia
- PEPP-Montreal, Douglas Research Centre, Montreal, Quebec, Canada
| | - Jamie Zinberg
- Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Department Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Scott W Woods
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, 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, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| |
Collapse
|
19
|
Addington J, Woods SW, Yung AR, Calkins ME, Fusar-Poli P. Harmonizing the structured interview for psychosis-risk syndromes (SIPS) and the comprehensive assessment of at-risk mental states (CAARMS): An initial approach. Early Interv Psychiatry 2024; 18:248-254. [PMID: 36646443 DOI: 10.1111/eip.13401] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 12/20/2022] [Accepted: 01/01/2023] [Indexed: 01/18/2023]
Abstract
The two most used semi-structured psychometric instruments that define criteria for being at clinical high risk (CHR) for psychosis are the Comprehensive Assessment of At-Risk Mental States (CAARMS) and the Structured Interview for Psychosis-Risk Syndromes (SIPS). Although very similar there are important differences between these two measures. Developing harmonized psychometric criteria for defining CHR and associated outcomes would be beneficial for future research. This article describes the first step in this process by reporting on a NIMH workshop held in Washington DC, in February 2019 that was attended by experts in the field. The aim of this workshop was to examine the similarities and differences between the two measures and consider how the harmonization process could proceed.
Collapse
Affiliation(s)
- Jean Addington
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Scott W Woods
- Department of Psychiatry, Yale University, New Haven, Connecticut, USA
| | - Alison R Yung
- Institute for Mental and Physical Health and Clinical Translation, Deakin University, Geelong, Victoria, Australia
| | - Monica E Calkins
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- School of Health Sciences, University of Manchester, Manchester, UK
| | - Paolo Fusar-Poli
- Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| |
Collapse
|
20
|
Hartmann S, Cearns M, Pantelis C, Dwyer D, Cavve B, Byrne E, Scott I, Yuen HP, Gao C, Allott K, Lin A, Wood SJ, Wigman JTW, Amminger GP, McGorry PD, Yung AR, Nelson B, Clark SR. Combining Clinical With Cognitive or Magnetic Resonance Imaging Data for Predicting Transition to Psychosis in Ultra High-Risk Patients: Data From the PACE 400 Cohort. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024; 9:417-428. [PMID: 38052267 DOI: 10.1016/j.bpsc.2023.11.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 10/19/2023] [Accepted: 11/26/2023] [Indexed: 12/07/2023]
Abstract
BACKGROUND Multimodal modeling that combines biological and clinical data shows promise in predicting transition to psychosis in individuals who are at ultra-high risk. Individuals who transition to psychosis are known to have deficits at baseline in cognitive function and reductions in gray matter volume in multiple brain regions identified by magnetic resonance imaging. METHODS In this study, we used Cox proportional hazards regression models to assess the additive predictive value of each modality-cognition, cortical structure information, and the neuroanatomical measure of brain age gap-to a previously developed clinical model using functioning and duration of symptoms prior to service entry as predictors in the Personal Assessment and Crisis Evaluation (PACE) 400 cohort. The PACE 400 study is a well-characterized cohort of Australian youths who were identified as ultra-high risk of transitioning to psychosis using the Comprehensive Assessment of At Risk Mental States (CAARMS) and followed for up to 18 years; it contains clinical data (from N = 416 participants), cognitive data (n = 213), and magnetic resonance imaging cortical parameters extracted using FreeSurfer (n = 231). RESULTS The results showed that neuroimaging, brain age gap, and cognition added marginal predictive information to the previously developed clinical model (fraction of new information: neuroimaging 0%-12%, brain age gap 7%, cognition 0%-16%). CONCLUSIONS In summary, adding a second modality to a clinical risk model predicting the onset of a psychotic disorder in the PACE 400 cohort showed little improvement in the fit of the model for long-term prediction of transition to psychosis.
Collapse
Affiliation(s)
- Simon Hartmann
- Discipline of Psychiatry, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia; Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia.
| | - Micah Cearns
- Discipline of Psychiatry, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Carlton South, Melbourne, Victoria, Australia; Western Centre for Health Research & Education, Western Hospital Sunshine, The University of Melbourne, St. Albans, Victoria, Australia
| | - Dominic Dwyer
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Blake Cavve
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Enda Byrne
- Child Health Research Center, The University of Queensland, Brisbane, Queensland, Australia
| | - Isabelle Scott
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Hok Pan Yuen
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Caroline Gao
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Kelly Allott
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Ashleigh Lin
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Stephen J Wood
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia; School of Psychology, The University of Birmingham, Birmingham, England, United Kingdom
| | - Johanna T W Wigman
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - G Paul Amminger
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Patrick D McGorry
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Alison R Yung
- Institute for Mental and Physical Health and Clinical Translation, Deakin University, Melbourne, Victoria, Australia
| | - Barnaby Nelson
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Scott R Clark
- Discipline of Psychiatry, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
| |
Collapse
|
21
|
Ambarini TK, Surjaningrum E, Chusairi A, Schultze-Lutter F. Cross-cultural adaptation and inter-rater reliability of the Schizophrenia proneness instrument adult version (SPI-A) in the Indonesian context. Asian J Psychiatr 2024; 93:103944. [PMID: 38364598 DOI: 10.1016/j.ajp.2024.103944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 01/05/2024] [Accepted: 01/31/2024] [Indexed: 02/18/2024]
Abstract
This study aims to adapt the Schizophrenia Proneness Instrument, Adult Version (SPI-A) for the assessment of basic symptoms to the Indonesian context (culturally and linguistically) and analyze the inter-rater reliability of the translated version. Following a specific methodology for cultural adaptation, direct and back-translations were conducted together with cognitive interviews to analyze the comprehensibility of the translated version. A linguistic expert analyzes the resulting version to determine its grammatical and linguistic adequacy. Finally, the interclass correlation (ICC) of the three expert ratings of the samples (N = 9) was analyzed. The direct and back-translation phases showed good conceptual equivalence to the original version. The cognitive interviews revealed items that were challenging to understand and required revision. The final version also considered the judgments of a linguistic expert for grammatical and conceptual improvements. Inter-rater reliability analysis showed an excellent degree of agreement (ICC value: 0.984; 95% CI: 0.950-0.996). The translated SPI-A fits the Indonesian context and can be used in clinical settings to assess basic symptoms in help-seeking individuals in Indonesia.
Collapse
Affiliation(s)
| | | | - Achmad Chusairi
- Faculty of Psychology Universitas Airlangga, Surabaya, Indonesia
| | - Frauke Schultze-Lutter
- Faculty of Psychology Universitas Airlangga, Surabaya, Indonesia; Department of Psychiatry and Psychotherapy, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine University, Duesseldorf, Germany; University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| |
Collapse
|
22
|
Borrelli DF, Ottoni R, Provettini A, Morabito C, Dell'Uva L, Marchesi C, Tonna M. A clinical investigation of psychotic vulnerability in early-onset Obsessive-Compulsive Disorder through Cognitive-Perceptive basic symptoms. Eur Arch Psychiatry Clin Neurosci 2024; 274:195-205. [PMID: 36585492 DOI: 10.1007/s00406-022-01543-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 12/16/2022] [Indexed: 12/31/2022]
Abstract
Childhood-onset Obsessive-Compulsive Disorder (OCD) shows distinct comorbidity patterns and developmental pathways, as well as an increased risk of psychosis with respect to adult-onset forms. Nevertheless, little is known about the prodromal symptoms of psychosis in children and adolescents with a primary diagnosis of OCD. The present study was aimed at evaluating the occurrence of Cognitive-Perceptual basic symptoms (COPER) and high- risk criterion Cognitive Disturbances (COGDIS) in pediatric and adults OCD patients, verifying if they might vary according to the age of onset of OCD. The study included 90 outpatients with a primary diagnosis of obsessive-compulsive disorder. The study sample was collapsed into three groups according to the age at onset: 1) very early onset group (< 10 years); 2) early onset group (11-18 years); 3) adult-onset group (> 18 years). All patients were administered the Yale-Brown Obsessive- Compulsive Scale (Y-BOCS) and its Child version (CY-BOCS), the Schizophrenia Proneness Instrument-Adult (SPIA) and its Child and Adolescent version (SPI-CY) and the Social and Occupational Functioning Assessment Scale (SOFAS). COPER and COGDIS symptoms were positively associated with OCD severity and detectable, respectively, in 28.9 and 26.7% of our study sample. The very early onset group significantly had higher COPER and COGDIS symptoms than the adult-onset group. Our data suggest that COPER and COGDIS symptoms are frequent in obsessive patients, in particular in those with earlier onset; therefore, their detection in childhood-onset OCD may represent an early and specific indicator of psychotic vulnerability.
Collapse
Affiliation(s)
| | - Rebecca Ottoni
- Department of Mental Health, Local Health Service, Parma, Italy
| | - Andrea Provettini
- Department of Medicine and Surgery, PsychiatryUnit, University of Parma, Parma, Italy
| | - Chiara Morabito
- Department of Medicine and Surgery, PsychiatryUnit, University of Parma, Parma, Italy
| | - Laura Dell'Uva
- Department of Medicine and Surgery, PsychiatryUnit, University of Parma, Parma, Italy
| | - Carlo Marchesi
- Department of Medicine and Surgery, PsychiatryUnit, University of Parma, Parma, Italy
- Department of Mental Health, Local Health Service, Parma, Italy
| | - Matteo Tonna
- Department of Medicine and Surgery, PsychiatryUnit, University of Parma, Parma, Italy
- Department of Mental Health, Local Health Service, Parma, Italy
| |
Collapse
|
23
|
Venger O, Bilous V, Striepetova O, Kulivets O, Oliynyk O. Prodromal period of psychosis: diagnostic criteria. WIADOMOSCI LEKARSKIE (WARSAW, POLAND : 1960) 2024; 77:47-54. [PMID: 38431807 DOI: 10.36740/wlek202401107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Abstract
OBJECTIVE Aim: To study the psychopathological mechanisms of the development of the prodromal stage of psychosis in order to identify risk factors for the formation of psychosis. PATIENTS AND METHODS Materials and Methods: In this research 137 patients with newly diagnosed psychosis were examined: 65 patients with a diagnosis of paranoid schizophrenia; 72 patients - with a diagnosis of acute polymorphic psychotic disorder. RESULTS Results: According to the analysis of symptoms using the PANSS, the absence of signs of an anxious state, conceptual disorganization of thinking, emotional withdrowal are reliable signs of PPP in PS, and unusual thought content, absence of signs of stereotyped thinking, tension, anxiety, and hallucinations are reliable signs of PPP in APPD. According to the analysis of symptoms using the SOPS, unusual thought content/delusional ideas, bizarre thinking, social anhedonia, suspiciousness/persecutory ideas, decrease in expressiveness of emotions are reliable signs of PPP in PS, and bizarre thinking, impaired tolerance to normal stress, sleep disturbance, perceptual abnormalities/hallucinations, trouble with focus and attention are reliable signs of PPP in APPD. CONCLUSION Conclusions: In the process of studying the clinical-psychopathological and pathopsychological aspects of the development of the PPP, a number of risk factors for the formation of psychosis were identified. We found that he most important diagnostic signs of PPP in PS patients are: stereotyped thinking, social isolation, disorganizational thinking disorders, passive-apathetic social detachment, suspiciousness. The most informative prodromal symptoms of HP in PS patients are: conceptual disorganization of thinking, bizzare thinking, social isolation, suspiciousness/persecutory ideas, reduced expression of emotions.
Collapse
Affiliation(s)
- Olena Venger
- NATIONAL MEDICAL UNIVERSITY NAMED BY O.BOHOMOLETS, KYIV, UKRAINE
| | - Volodymyr Bilous
- NATIONAL MEDICAL UNIVERSITY NAMED BY O.BOHOMOLETS, KYIV, UKRAINE
| | | | - Oleksii Kulivets
- NATIONAL MEDICAL UNIVERSITY NAMED BY O.BOHOMOLETS, KYIV, UKRAINE
| | | |
Collapse
|
24
|
Machado V, Fonseca L, Barbosa MG, Bressan RA, Pan P, Rohde LA, Miguel EC, Salum GA, Ziebold C, Gadelha A. Childhood Anxiety Symptoms as a Predictor of Psychotic Experiences in Adolescence in a High-Risk Cohort for Psychiatric Disorders. SCHIZOPHRENIA BULLETIN OPEN 2024; 5:sgae003. [PMID: 39144118 PMCID: PMC11207689 DOI: 10.1093/schizbullopen/sgae003] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/16/2024]
Abstract
Background and Hypothesis When occurring in adolescence, psychotic experiences (PE), subclinical psychotic symptoms, can be an early marker of mental illnesses. Studies with high-risk populations for psychosis show that anxiety symptoms often precede the onset of psychosis. Although anxiety symptoms are frequently experienced across the continuum of psychosis, no previous study has analyzed this association using a cross-lagged panel model (CLPM) longitudinally to identify if anxiety can be a predictor of PE over time or vice versa. The aim of the current study was to investigate whether one symptom domain predicts the other over time. Study Design 2194 children from the Brazilian High-Risk Cohort (BHRC) were evaluated at baseline (T 0), and 76.5% completed a 3-year follow-up (T 1) interview. Childhood anxiety symptoms and PE were assessed using a standardized self-report questionnaire at both time points. Cross-lagged panel models evaluated time-lagged associations between PE and anxiety longitudinally. Study Results Higher levels of anxiety in childhood predicted an increase in PE levels in adolescence. The cross-lagged effect of anxiety scores at T 0 on PE scores at T 1 was significant (β = .03, SE = 0.01, P ≤ .001) and PE in childhood did not increase levels of anxiety in adolescence, when controlling for sociodemographic and clinical characteristics. Conclusions Our findings reinforce that anxiety may represent an early marker of psychosis proneness, not a consequence of already presenting PE, which can help to develop better screening approaches. Therefore, future studies should focus on identifying biological or other clinical markers to increase prediction accuracy.
Collapse
Affiliation(s)
- Viviane Machado
- Department of Psychiatry, Federal University of São Paulo, São Paulo, Brazil
- Department of Psychiatry, Interdisciplinary Laboratory in Clinical Neuroscience (LiNC), Department of Psychiatry, Federal University of São Paulo, São Paulo, Brazil
| | - Lais Fonseca
- Department of Psychiatry, Federal University of São Paulo, São Paulo, Brazil
- Department of Psychiatry, Interdisciplinary Laboratory in Clinical Neuroscience (LiNC), Department of Psychiatry, Federal University of São Paulo, São Paulo, Brazil
| | | | - Rodrigo A Bressan
- Department of Psychiatry, Interdisciplinary Laboratory in Clinical Neuroscience (LiNC), Department of Psychiatry, Federal University of São Paulo, São Paulo, Brazil
- Department of Psychiatry, Schizophrenia Program (PROESQ), Federal University of São Paulo, Sao Paulo, Brazil
| | - Pedro Pan
- Department of Psychiatry, Interdisciplinary Laboratory in Clinical Neuroscience (LiNC), Department of Psychiatry, Federal University of São Paulo, São Paulo, Brazil
| | - Luis Augusto Rohde
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil
- Department of Psychiatry, Attention Deficit and Hyperactivity Disorder (ADHD) Outpatient and Developmental Psychiatry Programs, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
- Medical Council, UniEduK, São Paulo, Brazil
| | | | - Giovanni A Salum
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil
- Child Mind Institute, New York, USA
| | - Carolina Ziebold
- Department of Psychiatry, Federal University of São Paulo, São Paulo, Brazil
| | - Ary Gadelha
- Department of Psychiatry, Federal University of São Paulo, São Paulo, Brazil
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil
| |
Collapse
|
25
|
Steenhuis LA, Harms T, Nauta MH, Bartels-Velthuis AA, Albers CJ, Aleman A, Vos M, Pijnenborg GHM, van den Berg D, Palstra EC, Wigman JTW, Booij SH. The dynamics of social activation and suspiciousness in individuals at ultra-high risk for psychosis. Schizophr Res 2023; 262:67-75. [PMID: 37925753 DOI: 10.1016/j.schres.2023.10.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 04/25/2023] [Accepted: 10/18/2023] [Indexed: 11/07/2023]
Abstract
INTRODUCTION Social functioning is often impaired during the ultra-high risk (UHR) phase for psychosis, but group-level studies regarding the role of social functioning in transition to psychosis are inconsistent. Exploring the inter-individual differences which underlie the association between social functioning and psychotic symptoms in this phase could yield new insights. OBJECTIVE To examine the idiographic and dynamic association between social activation and suspiciousness in individuals at UHR for psychosis using time-series analysis. METHODS Twenty individuals at UHR for psychosis completed a diary application every evening for 90 days. Two items on social activation (quantity: 'time spent alone' and quality: 'feeling supported') and two items on suspiciousness ('feeling suspicious' and 'feeling disliked') were used. Time series (T = 90) of each individual were analyzed using vector auto regression analysis (VAR), to estimate the lagged (over 1 day) effect of social activation on suspiciousness, and vice versa, as well as their contemporaneous associations. RESULTS Heterogeneous person-specific associations between social activation and suspiciousness were found in terms of strength, direction and temporal aspects. CONCLUSIONS The association between social activation and suspiciousness differs amongst individuals who are at UHR for psychosis. These findings underline the importance of tailoring psychosocial interventions to the individual. Future studies may examine whether using results of single-subject studies in clinical practice to personalize treatment goals leads to better treatment outcomes.
Collapse
Affiliation(s)
- Laura A Steenhuis
- University of Groningen, Faculty of Behavioural and Social Sciences, Department of Clinical and Developmental Neuropsychology, Grote Kruisstraat 2/1, 9712 TS Groningen, the Netherlands; GGZ Drenthe, Department of Psychotic Disorders, Dennenweg 9, 9404 LA Assen, the Netherlands.
| | - Tim Harms
- University of Groningen, Faculty of Behavioural and Social Sciences, Department of Clinical and Developmental Neuropsychology, Grote Kruisstraat 2/1, 9712 TS Groningen, the Netherlands
| | - Maaike H Nauta
- University of Groningen, Faculty of Behavioural and Social Sciences, Department of Clinical and Developmental Neuropsychology, Grote Kruisstraat 2/1, 9712 TS Groningen, the Netherlands
| | - Agna A Bartels-Velthuis
- University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Rob Giel Research Center, Hanzeplein 1, 9713, GZ, Groningen, the Netherlands
| | - Casper J Albers
- University of Groningen, Faculty of Behavioural and Social Sciences, Department of Psychometrics & Statistics, Grote Kruisstraat 2/1, 9712 TS Groningen, the Netherlands
| | - André Aleman
- University of Groningen, Faculty of Behavioural and Social Sciences, Department of Clinical and Developmental Neuropsychology, Grote Kruisstraat 2/1, 9712 TS Groningen, the Netherlands; University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation, Hanzeplein 1, 9713 GZ Groningen, the Netherlands
| | - Maarten Vos
- University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Rob Giel Research Center, Hanzeplein 1, 9713, GZ, Groningen, the Netherlands
| | - Gerdina H M Pijnenborg
- University of Groningen, Faculty of Behavioural and Social Sciences, Department of Clinical and Developmental Neuropsychology, Grote Kruisstraat 2/1, 9712 TS Groningen, the Netherlands; GGZ Drenthe, Department of Psychotic Disorders, Dennenweg 9, 9404 LA Assen, the Netherlands
| | - David van den Berg
- VU University and Amsterdam Public Health Research, Department of Clinical Psychology, van der Boechorststraat 7, 1081 BT Amsterdam, the Netherlands; Parnassia Psychiatric Institute, Department of Psychosis Research, Zoutkeetsingel 40, 2512 HN The Hague, the Netherlands
| | - Eline C Palstra
- VU University and Amsterdam Public Health Research, Department of Clinical Psychology, van der Boechorststraat 7, 1081 BT Amsterdam, the Netherlands; Parnassia Psychiatric Institute, Department of Psychosis Research, Zoutkeetsingel 40, 2512 HN The Hague, the Netherlands
| | - Johanna T W Wigman
- University of Groningen, University Medical Center Groningen, University Center for Psychiatry, Rob Giel Research Center, Hanzeplein 1, 9713, GZ, Groningen, the Netherlands; University of Groningen, University Medical Center Groningen, Department of Neuroscience, Antonius Deusinglaan 1, 9713 AV, Groningen, the Netherlands
| | - Sanne H Booij
- University of Groningen, University Medical Center Groningen, Department of Neuroscience, Antonius Deusinglaan 1, 9713 AV, Groningen, the Netherlands
| |
Collapse
|
26
|
Jeon SM, Lee DY, Cha S, Kwon JW. Psychiatric Comorbidities and Schizophrenia in Youths With Attention-Deficit/Hyperactivity Disorder. JAMA Netw Open 2023; 6:e2345793. [PMID: 38032637 PMCID: PMC10690465 DOI: 10.1001/jamanetworkopen.2023.45793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Accepted: 10/20/2023] [Indexed: 12/01/2023] Open
Abstract
Importance The association between attention-deficit/hyperactivity disorder (ADHD) and schizophrenia has received increased attention; however, evidence on the association between psychiatric comorbidities and subsequent schizophrenia in patients with ADHD is limited. Objective To investigate the risk of being diagnosed with schizophrenia in children and adolescents with ADHD considering the presence of psychiatric comorbidity. Design, Setting, and Participants This was a population-based, retrospective cohort study using the Health Insurance Review and Assessment claims database from January 1, 2007, to December 31, 2019. Participants were children and adolescents aged 5 to 19 years who received an ADHD diagnosis between January 1, 2010, and December 31, 2018, in the nationwide claims data of Korea. Data were analyzed from January 2010 to December 2019. Interventions or Exposures The presence of psychiatric comorbidity was assessed from diagnosis records within 1 year before ADHD diagnosis. Comorbidities were further categorized according to the number of comorbidities and specific comorbid disorders. Main Outcomes and Measures Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% CIs, examining the association between psychiatric comorbidities and the risk of being diagnosed with schizophrenia. Furthermore, the occurrence of psychiatric comorbidity during the follow-up period was explored among patients without psychiatric comorbidity at baseline. Results A total of 211 705 patients with newly diagnosed ADHD were included. A total of 157 272 patients (74.3%) were male, and the age of 5 to 9 years showed the highest distribution (115 081 patients [54.4%]). Patients with psychiatric comorbidity had a significantly higher risk of being diagnosed with schizophrenia than those without (adjusted HR, 2.14; 95% CI, 2.05-2.23). The association between schizophrenia and psychiatric comorbidity became progressively greater with the increasing number of comorbidities. Several individual psychiatric disorders showed an association with development of schizophrenia, with ASD, intellectual disability, tic disorder, depression, and bipolar disorder being the top 5 disorders most associated. Furthermore, 3244 patients (73.8%) without psychiatric comorbidities experienced the emergence of other psychiatric disorders before schizophrenia occurrence. Conclusions and Relevance In this retrospective cohort study involving children and adolescents with ADHD, the presence of psychiatric comorbidity in patients with ADHD was associated with an increased risk of being diagnosed with schizophrenia, with an increased risk observed in multiple comorbidities and a wide variety of comorbidities. These findings highlight the significance of assessing and managing psychiatric comorbidities in patients with ADHD to decrease subsequent schizophrenia risk and allow for early intervention.
Collapse
Affiliation(s)
- Soo Min Jeon
- College of Pharmacy, Jeju National University, Jeju, South Korea
| | - Dong Yun Lee
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, South Korea
| | - SangHun Cha
- Department of Statistics, College of Natural Sciences, Kyungpook National University, Daegu, South Korea
| | - Jin-Won Kwon
- BK21 FOUR Community-Based Intelligent Novel Drug Discovery Education Unit, College of Pharmacy and Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu, South Korea
| |
Collapse
|
27
|
El-Hage D, Gao CX, Bedi G, Guerin A, Francey S, Stavely H, Rickwood D, Telford N, McGorry P, Thompson A, Brown E. Correlates of substance use in a large naturalistic cohort of young people with early and emerging psychosis. Soc Psychiatry Psychiatr Epidemiol 2023; 58:1447-1456. [PMID: 36808500 PMCID: PMC10460356 DOI: 10.1007/s00127-023-02436-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 02/02/2023] [Indexed: 02/23/2023]
Abstract
BACKGROUND Substance use remains a barrier to recovery for young people accessing early intervention services for psychosis. While correlates of use have been explored in populations experiencing a first episode of psychosis (FEP), sample sizes have been small and less research assesses cohorts at ultrahigh risk of psychosis (UHR). METHODS This study uses data from a naturalistic cohort including UHR and FEP participants (N = 1252) to elucidate clinical correlates of use in the past 3 months of any illicit substance, amphetamine-type stimulants (ATS), cannabis, and tobacco. Moreover, network analysis based on use of these substances and additionally alcohol, cocaine, hallucinogens, sedatives, inhalants, and opioids was completed. RESULTS Young people with FEP used substances at significantly higher rates than those at UHR. High concurrence of use was seen between substances. In the FEP group, participants who had used any illicit substance, ATS, and/or tobacco had increased positive symptoms and decreased negative symptoms. Young people with FEP who used cannabis had increased positive symptoms. In the UHR group, participants who had used any illicit substance, ATS, and/or cannabis in the past 3 months showed decreased negative symptoms compared to those who had not. CONCLUSION A distinct clinical picture of more florid positive symptoms and alleviated negative symptoms seen in those who use substances in the FEP group appears muted in the UHR cohort. Treating young people at UHR in early intervention services represents the earliest opportunity to address substance use early to improve outcomes.
Collapse
Affiliation(s)
- D El-Hage
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - C X Gao
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
- Orygen, 35 Poplar Road, Parkville, VIC, Australia
- School of Public Health and Preventive Medicine, Monash University, Clayton, VIC, Australia
| | - G Bedi
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
- Orygen, 35 Poplar Road, Parkville, VIC, Australia
| | - A Guerin
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
- Orygen, 35 Poplar Road, Parkville, VIC, Australia
| | - S Francey
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
- Orygen, 35 Poplar Road, Parkville, VIC, Australia
| | - H Stavely
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
- Orygen, 35 Poplar Road, Parkville, VIC, Australia
| | - D Rickwood
- Headspace National, Melbourne City, VIC, Australia
- University of Canberra, Bruce, ACT, Australia
| | - N Telford
- Headspace National, Melbourne City, VIC, Australia
| | - P McGorry
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
- Orygen, 35 Poplar Road, Parkville, VIC, Australia
| | - A Thompson
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
- Orygen, 35 Poplar Road, Parkville, VIC, Australia
| | - Ellie Brown
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia.
- Orygen, 35 Poplar Road, Parkville, VIC, Australia.
| |
Collapse
|
28
|
Budhraja S, Doborjeh M, Singh B, Tan S, Doborjeh Z, Lai E, Merkin A, Lee J, Goh W, Kasabov N. Filter and Wrapper Stacking Ensemble (FWSE): a robust approach for reliable biomarker discovery in high-dimensional omics data. Brief Bioinform 2023; 24:bbad382. [PMID: 37889118 PMCID: PMC10605029 DOI: 10.1093/bib/bbad382] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 09/18/2023] [Accepted: 10/03/2023] [Indexed: 10/28/2023] Open
Abstract
Selecting informative features, such as accurate biomarkers for disease diagnosis, prognosis and response to treatment, is an essential task in the field of bioinformatics. Medical data often contain thousands of features and identifying potential biomarkers is challenging due to small number of samples in the data, method dependence and non-reproducibility. This paper proposes a novel ensemble feature selection method, named Filter and Wrapper Stacking Ensemble (FWSE), to identify reproducible biomarkers from high-dimensional omics data. In FWSE, filter feature selection methods are run on numerous subsets of the data to eliminate irrelevant features, and then wrapper feature selection methods are applied to rank the top features. The method was validated on four high-dimensional medical datasets related to mental illnesses and cancer. The results indicate that the features selected by FWSE are stable and statistically more significant than the ones obtained by existing methods while also demonstrating biological relevance. Furthermore, FWSE is a generic method, applicable to various high-dimensional datasets in the fields of machine intelligence and bioinformatics.
Collapse
Affiliation(s)
- Sugam Budhraja
- Knowledge Engineering and Discovery Research Innovation (KEDRI), School of Engineering Computer and Mathematical Sciences, Auckland University of Technology, 55 Wellesley Street East, 1010 Auckland, New Zealand
| | - Maryam Doborjeh
- Knowledge Engineering and Discovery Research Innovation (KEDRI), School of Engineering Computer and Mathematical Sciences, Auckland University of Technology, 55 Wellesley Street East, 1010 Auckland, New Zealand
| | - Balkaran Singh
- Knowledge Engineering and Discovery Research Innovation (KEDRI), School of Engineering Computer and Mathematical Sciences, Auckland University of Technology, 55 Wellesley Street East, 1010 Auckland, New Zealand
| | - Samuel Tan
- Lee Kong Chian School of Medicine, Nanyang Technological University, 50 Nanyang Ave, 639798, Singapore
| | - Zohreh Doborjeh
- School of Population Health, The University of Auckland, Grafton, 1023,Auckland, New Zealand
| | - Edmund Lai
- Knowledge Engineering and Discovery Research Innovation (KEDRI), School of Engineering Computer and Mathematical Sciences, Auckland University of Technology, 55 Wellesley Street East, 1010 Auckland, New Zealand
| | - Alexander Merkin
- National Institute for Stroke and Applied Neuroscience, Auckland University of Technology, 55 Wellesley Street East, 1010 Auckland, New Zealand
| | - Jimmy Lee
- Lee Kong Chian School of Medicine, Nanyang Technological University, 50 Nanyang Ave, 639798, Singapore
- Institute of Mental Health, 10 Buangkok View, 539747, Singapore
| | - Wilson Goh
- Lee Kong Chian School of Medicine, Nanyang Technological University, 50 Nanyang Ave, 639798, Singapore
- Center for Biomedical Informatics, Nanyang Technological University, 50 Nanyang Ave, 639798, Singapore
- School of Biological Sciences, Nanyang Technological University, 50 Nanyang Ave, 639798, Singapore
| | - Nikola Kasabov
- Knowledge Engineering and Discovery Research Innovation (KEDRI), School of Engineering Computer and Mathematical Sciences, Auckland University of Technology, 55 Wellesley Street East, 1010 Auckland, New Zealand
- Intelligent Systems Research Center, Ulster University, Magee Campus, Derry, BT48 7JL, Ulster, United Kingdom
- Auckland Bioengineering Institute, The University of Auckland, 6/70 Symonds Street, 1010 Auckland, New Zealand
- Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria
| |
Collapse
|
29
|
Strauss GP, Raugh IM, Luther L, Walker EF, Mittal VA. Temporal Interactions Between Social Motivation and Behavior In Daily Life Among Individuals at Clinical High-Risk for Psychosis. Schizophr Bull 2023; 49:1150-1160. [PMID: 37467481 PMCID: PMC10483454 DOI: 10.1093/schbul/sbad096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/21/2023]
Abstract
BACKGROUND AND HYPOTHESES Poor social functioning is common among individuals at clinical high-risk (CHR) for psychosis and is associated with greater likelihood of conversion. Unfortunately, processes contributing to social impairment are unclear, making social functioning difficult to improve via treatment. The current study examined whether abnormalities in social functioning result from aberrant temporal interactions between social motivation and behavior. STUDY DESIGN Participants included 105 individuals at CHR and 62 healthy controls (CN) who completed 6 days of ecological momentary assessment. Multilevel models examined time-lagged interactions between social behavior and motivation. STUDY RESULTS CHR and CN did not differ in social motivation; however, CHR were less likely to interact with family and coworkers and more likely to engage in interactions via phone and text/social media. Autocorrelations indicated that social behavior and motivation were generally consistent across time in CHR and CN groups. Time-lagged analyses indicated that both groups had an increase in social motivation across time when they were alone and a decrease in social motivation across time when they were with others. However, the relative decrease when with others and increase when alone were less robust in CHR than CN, particularly for in-person interactions. Social motivation at time t did not differentially impact social partner or modality at time t+1 in the groups. CONCLUSIONS Findings suggest that social behavior and motivation have different temporal interactions in CHR and CN. Psychosocial interventions may benefit from targeting the frequency of social behavior with specific partners and modalities to change social motivation.
Collapse
Affiliation(s)
| | - Ian M Raugh
- Department of Psychology, University of Georgia, Athens, GA, USA
| | - Lauren Luther
- Department of Psychology, University of Georgia, Athens, GA, USA
| | - Elaine F Walker
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Vijay A Mittal
- Department of Psychology, Northwestern University, Evanston, IL, USA
| |
Collapse
|
30
|
Bayer JMM, Spark J, Krcmar M, Formica M, Gwyther K, Srivastava A, Selloni A, Cotter M, Hartmann J, Polari A, Bilgrami ZR, Sarac C, Lu A, Yung AR, McGowan A, McGorry P, Shah JL, Cecchi GA, Mizrahi R, Nelson B, Corcoran CM. The SPEAK study rationale and design: A linguistic corpus-based approach to understanding thought disorder. Schizophr Res 2023; 259:80-87. [PMID: 36732110 PMCID: PMC10387495 DOI: 10.1016/j.schres.2022.12.048] [Citation(s) in RCA: 2] [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: 09/29/2022] [Revised: 12/27/2022] [Accepted: 12/30/2022] [Indexed: 02/04/2023]
Abstract
AIM Psychotic symptoms are typically measured using clinical ratings, but more objective and sensitive metrics are needed. Hence, we will assess thought disorder using the Research Domain Criteria (RDoC) heuristic for language production, and its recommended paradigm of "linguistic corpus-based analyses of language output". Positive thought disorder (e.g., tangentiality and derailment) can be assessed using word-embedding approaches that assess semantic coherence, whereas negative thought disorder (e.g., concreteness, poverty of speech) can be assessed using part-of-speech (POS) tagging to assess syntactic complexity. We aim to establish convergent validity of automated linguistic metrics with clinical ratings, assess normative demographic variance, determine cognitive and functional correlates, and replicate their predictive power for psychosis transition among at-risk youths. METHODS This study will assess language production in 450 English-speaking individuals in Australia and Canada, who have recent onset psychosis, are at clinical high risk (CHR) for psychosis, or who are healthy volunteers, all well-characterized for cognition, function and symptoms. Speech will be elicited using open-ended interviews. Audio files will be transcribed and preprocessed for automated natural language processing (NLP) analyses of coherence and complexity. Data analyses include canonical correlation, multivariate linear regression with regularization, and machine-learning classification of group status and psychosis outcome. CONCLUSIONS This prospective study aims to characterize language disturbance across stages of psychosis using computational approaches, including psychometric properties, normative variance and clinical correlates, important for biomarker development. SPEAK will create a large archive of language data available to other investigators, a rich resource for the field.
Collapse
Affiliation(s)
- J M M Bayer
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia.
| | - J Spark
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - M Krcmar
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - M Formica
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - K Gwyther
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - A Srivastava
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - A Selloni
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - M Cotter
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - J Hartmann
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - A Polari
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | | | - C Sarac
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - A Lu
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alison R Yung
- Orygen, Parkville, Victoria, Australia; Institute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Australia; School of Health Sciences, University of Manchester, United Kingdom
| | - A McGowan
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - P McGorry
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - J L Shah
- McGill Department of Psychiatry & Douglas Research Hospital, Montreal, Canada
| | - G A Cecchi
- IBM TJ Watson Research Center, Yorktown Heights, NY, USA
| | - R Mizrahi
- McGill Department of Psychiatry & Douglas Research Hospital, Montreal, Canada
| | - B Nelson
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - C M Corcoran
- Icahn School of Medicine at Mount Sinai, New York, NY, USA; James J. Peters Veterans Administration, Bronx, NY, USA
| |
Collapse
|
31
|
Todd J, Salisbury D, Michie PT. Why mismatch negativity continues to hold potential in probing altered brain function in schizophrenia. PCN REPORTS : PSYCHIATRY AND CLINICAL NEUROSCIENCES 2023; 2:e144. [PMID: 38867817 PMCID: PMC11114358 DOI: 10.1002/pcn5.144] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 08/21/2023] [Accepted: 08/30/2023] [Indexed: 06/14/2024]
Abstract
The brain potential known as mismatch negativity (MMN) is one of the most studied indices of altered brain function in schizophrenia. This review looks at what has been learned about MMN in schizophrenia over the last three decades and why the level of interest and activity in this field of research remains strong. A diligent consideration of available evidence suggests that MMN can serve as a biomarker in schizophrenia, but perhaps not the kind of biomarker that early research supposed. This review concludes that MMN measurement is likely to be most useful as a monitoring and response biomarker enabling tracking of an underlying pathology and efficacy of interventions, respectively. The role of, and challenges presented by, pre-clinical models is discussed as well as the merits of different methodologies that can be brought to bear in pursuing a deeper understanding of pathophysiology that might explain smaller MMN in schizophrenia.
Collapse
Affiliation(s)
- Juanita Todd
- School of Psychological SciencesUniversity of NewcastleNewcastleNew South WalesAustralia
| | - Dean Salisbury
- Department of PsychiatryUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Patricia T. Michie
- School of Psychological SciencesUniversity of NewcastleNewcastleNew South WalesAustralia
| |
Collapse
|
32
|
Hinterbuchinger B, Koch M, Trimmel M, Litvan Z, Baumgartner J, Meyer EL, Friedrich F, Mossaheb N. Psychotic-like experiences in non-clinical subgroups with and without specific beliefs. BMC Psychiatry 2023; 23:397. [PMID: 37270507 DOI: 10.1186/s12888-023-04876-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 05/16/2023] [Indexed: 06/05/2023] Open
Abstract
BACKGROUND Assuming a transdiagnostic and extended psychosis phenotype, psychotic-like experiences (PLEs) and psychotic symptoms are on a phenomenological and temporal continuum between clinical and non-clinical populations. Recent research points towards differences in PLE proneness in different subgroups and clinical impact of different PLE subtypes. This study examines the prevalence of PLEs in three groups of individuals with and without specific sets of beliefs aiming to elucidate the question whether proneness to PLEs varies according to traditional versus less traditional supernatural beliefs. METHODS The anonymized 16-item version of the Prodromal Questionnaire (PQ-16) was used to assess PLEs in three groups including individuals with religious beliefs (RB), belief in esoterism and paranormal phenomena (EB), and those embedded in scientific evidence approach and scepticism towards para-scientific theories (non-believers, NB). Male and female participants between 18 and 90 years were eligible for participation. RESULTS The sample comprised 159 individuals including 41 RB individuals, 43 EB individuals, and 75 NB individuals. The mean PQ-16 score of the EB individuals (6.86 ± 4.13) was significantly higher compared to NB individuals (3.43 ± 2.99) and to RB individuals (3.38 ± 3.23) with almost twice the score (both p-values < 0.001). There was no significant difference between the PQ-16 scores of the NB group and the RB group (p = 0.935). No significant impact of age (p = 0.330) and gender (p = 0.061) was found on the PQ16-Score. Group affiliation to esoterism was associated with a higher PQ-16 score compared to group affiliation to religious beliefs (p < 0.001) and group affiliation to scepticism (p = 0.011), while the latter two did not differ significantly (p = 0.735). No significant difference was found between the three groups in the degree of distress related to the affirmatively answered PQ-16 items (p = 0.74). CONCLUSION Under the assumption of a transdiagnostic psychosis phenotype, our findings provide more insight which subgroups within non-clinical samples have a higher likelihood of reporting PLEs.
Collapse
Affiliation(s)
- B Hinterbuchinger
- Department of Psychiatry and Psychotherapy, Clinical Division of Social Psychiatry, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
| | - M Koch
- Department of Psychiatry and Psychotherapy, Clinical Division of Social Psychiatry, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - M Trimmel
- Department of Psychiatry and Psychotherapy, Clinical Division of Social Psychiatry, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Z Litvan
- Department of Psychiatry and Psychotherapy, Clinical Division of Social Psychiatry, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - J Baumgartner
- Department of Psychiatry and Psychotherapy, Clinical Division of Social Psychiatry, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - E L Meyer
- Section for Medical Statistics, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, 1090, Vienna, Austria
| | - F Friedrich
- Department of Psychiatry and Psychotherapy, Clinical Division of Social Psychiatry, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - N Mossaheb
- Department of Psychiatry and Psychotherapy, Clinical Division of Social Psychiatry, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| |
Collapse
|
33
|
Ghosh CC, McVicar D, Davidson G, Shannon C, Armour C. Exploring the associations between auditory hallucinations and psychopathological experiences in 10,933 patient narratives: moving beyond diagnostic categories and surveys. BMC Psychiatry 2023; 23:307. [PMID: 37131149 PMCID: PMC10155450 DOI: 10.1186/s12888-023-04780-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 04/12/2023] [Indexed: 05/04/2023] Open
Abstract
BACKGROUND Previous research suggests that auditory hallucinations are prevalent within both the clinical and general populations. Yet, we know little about how these phenomena are associated with other psychopathology symptoms and experiences. The current study aids investigations towards preventing, predicting and more effectively responding to such distressing occurrences. There have been substantial efforts in the literature to propose models of auditory hallucination and attempts to verify them. However, many of these studies used survey methods that restrict the person's responses to a set of pre-defined criteria or experiences and do not allow exploration of potential important other symptoms beyond them. This is the first study to explore the correlates of auditory hallucination using a qualitative dataset consisting of unrestricted responses of patients about their lived experiences with mental illness. METHOD The study used a dataset consisting of 10,933 narratives from patients diagnosed with mental illnesses. For analysis, the study used correlation on the text-based data. This approach is an alternative to the knowledge-based approach where experts manually read the narratives and infer the rules and relationships from the dataset. RESULT This study found at least 8 correlates of auditory hallucination (small correlation coefficients), with the unusual ones being "pain." The study also found that auditory hallucinations were independent of obsessive thoughts and compulsive behaviours, and dissociation, in contrast with the literature. CONCLUSION This study presents an innovative approach to explore the possible associations between symptoms without the restrictions of (or outside the confines of) traditional diagnostic categories. The study exemplified this by finding the correlates of auditory hallucination. However, any other symptom or experience of interest can be studied similarly. Potential future directions of these findings are discussed in the context of mental healthcare screening and treatment.
Collapse
Affiliation(s)
| | - Duncan McVicar
- Queen's Management School, Queen's University Belfast, Belfast, UK
| | - Gavin Davidson
- School of Social Sciences, Education and Social Work, Queen's University Belfast, Belfast, UK
| | - Ciaran Shannon
- IMPACT Research Centre, Northern Health and Social Care Trust, Antrim, UK
| | - Cherie Armour
- School of Psychology, Queen's University Belfast, Belfast, UK.
| |
Collapse
|
34
|
Almstrup FB, Nordentoft M, Jensen MA, Kristiansen J, Kristensen TD, Wenneberg C, Garde AH, Glenthøj LB, Nordholm D. Associations between saliva alpha-amylase, heart rate variability, saliva cortisol and cognitive performance in individuals at ultra high-risk for psychosis. Schizophr Res 2023; 255:165-172. [PMID: 37001391 DOI: 10.1016/j.schres.2023.03.041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 02/24/2023] [Accepted: 03/18/2023] [Indexed: 05/13/2023]
Abstract
BACKGROUND Cognitive impairments are present in individuals at ultra-high risk (UHR) of psychosis and UHR individuals exhibit a hyperactive and dysfunctional HPA-axis. Increasing stress levels could potentially lead to cognitive impairments and no previous studies have examined the association between physiological stress biomarkers and cognition in UHR individuals. This study aims to examine the association between saliva alpha amylase (SAA), heart rate variability (HRV), saliva cortisol, and cognition in UHR individuals. METHOD We included 72 UHR individuals, aged 18-40, fulfilling criteria of the comprehensive assessment of at-risk mental state (CAARMS). Cognitive tests indexed the 7 core domains as stated by Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS). Physiological stress levels were observed for one day: saliva was collected at awakening, 30 min and 60 min after awakening and at bedtime. HRV was measured during sleep and before awakening. We used generalized linear model and controlled for multiple testing using false discovery rate (FDR). RESULTS Higher levels of SAA were significantly associated with lower cognitive performance in the domains of verbal and visual learning and memory, sustained attention, working memory and global neurocognition looking at unadjusted data. Controlling for FDR visual memory, sustained attention and global neurocognition remained significant associated with SAA. We discovered no associations between cortisol and cognition. CONCLUSION Visual learning and memory, sustained attention and global neurocognition remained significantly associated with SAA. This finding supports our hypothesis that an association between abnormal stress biomarkers and impaired cognition might be present in UHR individuals.
Collapse
Affiliation(s)
- Frederik Beske Almstrup
- Copenhagen Research Center for Mental Health - CORE, Mental Health Center Copenhagen, Copenhagen University Hospital, Denmark.
| | - Merete Nordentoft
- Copenhagen Research Center for Mental Health - CORE, Mental Health Center Copenhagen, Copenhagen University Hospital, Denmark
| | | | - Jesper Kristiansen
- The National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Tina Dam Kristensen
- Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark
| | - Christina Wenneberg
- Copenhagen Research Center for Mental Health - CORE, Mental Health Center Copenhagen, Copenhagen University Hospital, Denmark; Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark
| | - Anne Helene Garde
- The National Research Centre for the Working Environment, Copenhagen, Denmark; University of Copenhagen, Department of Public Health, Copenhagen, Denmark
| | - Louise Birkedal Glenthøj
- Copenhagen Research Center for Mental Health - CORE, Mental Health Center Copenhagen, Copenhagen University Hospital, Denmark; Department of Psychology, University of Copenhagen, Denmark
| | - Dorte Nordholm
- Copenhagen Research Center for Mental Health - CORE, Mental Health Center Copenhagen, Copenhagen University Hospital, Denmark
| |
Collapse
|
35
|
Hosseini SR, Tabbassi SS, Mosaferi S, Mousavinezad SH, Nooripour R, Firoozabadi A, Ghanbari N. The Persian version of the Psychotic‐Like Experiences Questionnaire for Children (PLEQ‐C): Psychometric properties in Iranian school students. PSYCHOLOGY IN THE SCHOOLS 2023; 60:814-829. [DOI: 10.1002/pits.22797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Accepted: 08/30/2022] [Indexed: 12/14/2022]
Abstract
AbstractPsychotic‐like experiences (PLEs), or subclinical hallucinations and delusions, are common symptoms among young adults. Therefore, the current study aimed to assess the psychometric properties of the Psychotic‐Like Experiences Questionnaire for Children (PLEQ‐C) in Iranian school students. The study method was cross‐sectional, and the population consisted of Iranian school students aged 9–12 years, from whom 455 students were selected through the convenience sampling method. The participants then completed the PLEQ‐C, Prodromal Questionnaire‐Brief (PQ‐B), and Community Assessment of Psychotic Experiences‐42 (CAPE‐42). The PLEQ‐C's psychometric properties were analyzed using the confirmatory factor analysis while the reliability was tested using Cronbach's alpha. The convergent validity was assessed using the PQ‐B and CAPE‐42 measures. The findings showed that the PLEQ‐C has satisfactory internal reliability (Cronbach's alpha of 0.83), and the one‐factor structure provides a good fit for the observed data. The PLEQ‐C was also significantly correlated with the PQ‐B and CAPE‐42 questionnaires. Given the study findings, it is concluded that the PLEQ‐C has good validity for Iranian school students aged 9–12 years and can be used as a reliable and valid measure in psychological evaluations in the Iranian context.
Collapse
Affiliation(s)
- Seyed Ruhollah Hosseini
- Department of Psychology, Faculty of Education Sciences and Psychology Ferdowsi University of Mashhad Mashhad Iran
| | - Saeideh Saffar Tabbassi
- Department of Psychology, Faculty of Education Sciences and Psychology Ferdowsi University of Mashhad Mashhad Iran
| | - Simin Mosaferi
- Department of Psychology, Faculty of Education Sciences and Psychology Ferdowsi University of Mashhad Mashhad Iran
| | - Seyyed Hossein Mousavinezad
- Department of Psychology, Faculty of Education Sciences and Psychology Ferdowsi University of Mashhad Mashhad Iran
| | - Roghieh Nooripour
- Department of Counseling, Faculty of Education and Psychology Alzahra University Tehran Iran
| | - Abbas Firoozabadi
- Department of Psychology, Faculty of Education Sciences and Psychology Ferdowsi University of Mashhad Mashhad Iran
| | - Nikzad Ghanbari
- Department of Clinical Psychology, Faculty of Psychology and Educational Sciences Shahid Beheshti University Tehran Iran
| |
Collapse
|
36
|
Lynch S, McDonnell T, Leahy D, Gavin B, McNicholas F. Prevalence of mental health disorders in children and adolescents in the Republic of Ireland: a systematic review. Ir J Psychol Med 2023; 40:51-62. [PMID: 36285647 DOI: 10.1017/ipm.2022.46] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/22/2023]
Abstract
Referrals to Child and Adolescent Mental Health Services (CAMHS) have increased in recent years. Services are already under-resourced and the adverse psychological impact of Covid-19 is likely to increase demand. Accordingly, an understanding of prevalence of mental health (MH) disorders among youth is imperative to help inform and plan services. AIM To establish prevalence of MH disorders among youth (under 18) in Ireland. METHOD A systematic review using pre-defined search terms in PubMed, PsycInfo, Embase and CINAHL was conducted. Empirical studies conducted in Ireland, in youth and focusing on MH disorders were included. RESULTS From a total of 830 papers identified, 38 papers met inclusion criteria. Significant variation in rates of MH disorders was evident based on study methodology. Screening questionnaires for general psychopathology reported rates of 4.8-17.8% scoring above clinical cut-offs, with higher rates for ADHD (7.3%). Studies examining depression ranged from 4% to 20.8%, while rates for 'current' MH disorder, determined by semi-structured interview, were 15.5%, while 'lifetime' rates varied from 19.9% to 31.2%. Fewer than half (44%) of those identified as 'in need' of specialist MH services were accessing CAMHS. CONCLUSION Data on MH disorders among Irish youth is limited, and studies showed significant variance in rates, making service planning difficult. There is an urgent need for serial epidemiological surveys, with clear operational criteria for clinically impairing MH difficulties. Such studies are essential to understand potential demand and service planning. This is most urgent given the expected increased demand post Covid-19.
Collapse
Affiliation(s)
- S Lynch
- School of Medicine & Medical Science, University College Dublin, Dublin, Ireland
| | - T McDonnell
- School of Nursing, Midwifery and Health Systems, University College Dublin, Dublin, Ireland
| | - D Leahy
- Child and Adolescent Mental Health Services, Glanmire, Cork, Ireland
| | - B Gavin
- Department of Child Psychiatry, University College Dublin, Dublin, Ireland
| | - F McNicholas
- Department of Child Psychiatry, University College Dublin, Dublin, Ireland
- Department of Child Psychiatry, Lucena Clinic, Saint John of God Hospital, Dublin, Ireland
- CHI, OLCHC Crumlin, Dublin 12, Ireland
| |
Collapse
|
37
|
Moore D, Eaton S, Polari A, McGorry P, Nelson B, O'Donoghue B. The association between social deprivation and the rate of identification of individuals at Ultra-High Risk for psychosis and transition to psychosis. Int J Soc Psychiatry 2023; 69:294-303. [PMID: 35470718 DOI: 10.1177/00207640221087608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND There is a higher incidence of psychotic disorders in neighbourhoods of greater social deprivation. However, it is not known whether this represents a causal relationship, as the stage at which social deprivation exerts its influence on the development of psychotic disorders is yet to be elucidated. We aimed to investigate the association between neighbourhood-level social deprivation and the rate of identification of individuals at Ultra-High Risk for psychosis (UHR), as well as the risk of transition to psychosis in UHR individuals. METHODS The cohort included all young people aged 15 to 24 identified as UHR attending an Early Intervention clinic in northwestern Melbourne over a 5-year period (2012-2016). Australian census data were used to obtain the at-risk population and social deprivation information according to the postcode of residence. Levels of social deprivation were arranged into quartiles. Poisson regression was used to calculate rate ratios and Cox regression analysis determined hazard ratios. RESULTS Of the 461 young people identified as UHR, 11.1% (n = 49) lived in the most affluent neighbourhoods (Quartile 1) compared to 36.7% (n = 162) in the most deprived neighbourhoods (Quartile 4). There was a 35% higher rate of identification of young people who were UHR from the most deprived neighbourhoods (aIRR = 1.35, 95% CI [0.98, 1.86]). Over a median follow-up of approximately 10 months (308 days (IQR: 188-557), 17.5% (n = 77) were known to have transitioned to a full-threshold psychotic disorder. Residing in a neighbourhood of above average deprivation had a hazard ratio of 2.05 (95% CI [0.88, 4.80]) for risk of transition, when controlling for age, sex and substance use. CONCLUSIONS These findings provide more support that EI services should be funded as per the expected incidence of psychotic disorders.
Collapse
Affiliation(s)
- Danielle Moore
- Orygen, Parkville, VIC, Australia.,Centre for Youth Mental Health, University of Melbourne, VIC, Australia
| | - Scott Eaton
- Orygen, Parkville, VIC, Australia.,Centre for Youth Mental Health, University of Melbourne, VIC, Australia
| | - Andrea Polari
- Orygen, Parkville, VIC, Australia.,Centre for Youth Mental Health, University of Melbourne, VIC, Australia
| | - Patrick McGorry
- Orygen, Parkville, VIC, Australia.,Centre for Youth Mental Health, University of Melbourne, VIC, Australia
| | - Barnaby Nelson
- Orygen, Parkville, VIC, Australia.,Centre for Youth Mental Health, University of Melbourne, VIC, Australia
| | - Brian O'Donoghue
- Orygen, Parkville, VIC, Australia.,Centre for Youth Mental Health, University of Melbourne, VIC, Australia
| |
Collapse
|
38
|
Livet A, Pétrin-Pomerleau P, Pocuca N, Afzali MH, Potvin S, Conrod PJ. Development of the French version of the Davos Assessment of Cognitive Biases Scale in a non-clinical sample of young adults. Early Interv Psychiatry 2023; 17:141-148. [PMID: 35362245 DOI: 10.1111/eip.13297] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 01/24/2022] [Accepted: 03/13/2022] [Indexed: 12/13/2022]
Abstract
BACKGROUND In accordance with continuum and cognitive behaviour models of psychosis, cognitive biases precede the onset and the maintenance of positive symptoms. The Davos Assessment of Cognitive Biases Scale (DACOBS), a self-report measure, was developed to explore the prevalence of specific cognitive biases. This study aims to validate the French version of this instrument. METHODS We first translated the English version of the DACOBS into French. Then, using a sample of 213 French speaking young adults (mean age = 20.54, SD = 1.65; 83% females), we examined the factor structure, internal consistency, concurrent, and convergent validities of the current version. RESULTS We found an 18-item, four-factor version of the French DACOBS comprising external attribution bias (five items), social cognition problems (five items), subjective cognition problems (five items), and safety behaviours (five items), provided best fit-to-data. Internal consistency for the resulting subscales ranged from acceptable to excellent (Cronbach's α range = .62-.86). All subscales were significantly, positively associated with a measure of psychotic-like experiences and positively associated with established measures of theoretically relevant constructs, demonstrating concurrent and convergent validity of the French DACOBS. CONCLUSIONS The French DACOBS is a reliable and valid and reliable instrument assessing cognitive biases, in a French-speaking youth population. Ultimately, the French DACOBS may be used to identify at-risk youth which may benefit from cognitive interventions targeting cognitive biases, safety behaviours and social cognition which could potentially prevent transition to psychosis in youth.
Collapse
Affiliation(s)
- Audrey Livet
- CHU Sainte-Justine, Mother and Child University Hospital Center, CHU Sainte-Justine Research Center, Montréal, QC, Canada
- Department of Psychiatry and Addiction, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Philippe Pétrin-Pomerleau
- CHU Sainte-Justine, Mother and Child University Hospital Center, CHU Sainte-Justine Research Center, Montréal, QC, Canada
| | - Nina Pocuca
- CHU Sainte-Justine, Mother and Child University Hospital Center, CHU Sainte-Justine Research Center, Montréal, QC, Canada
- School of Psychoeducation, Faculty of Arts and Sciences, Université de Montréal, Montréal, QC, Canada
| | - Mohammad H Afzali
- CHU Sainte-Justine, Mother and Child University Hospital Center, CHU Sainte-Justine Research Center, Montréal, QC, Canada
- Department of Psychiatry and Addiction, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
| | - Stephane Potvin
- Department of Psychiatry and Addiction, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
- CIUSS de l'Est de l'île de Montréal, Institut Universitaire en Santé Mentale de Montréal Research Center, Montreal, QC, Canada
| | - Patricia J Conrod
- CHU Sainte-Justine, Mother and Child University Hospital Center, CHU Sainte-Justine Research Center, Montréal, QC, Canada
- Department of Psychiatry and Addiction, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
| |
Collapse
|
39
|
De Salve F, Rossi C, Cavalera C, Lara M, Simona B, Sofia T, Mauro P, Osmano O. Personality traits and transition to psychosis one year after the first assessment. Front Psychol 2023; 14:1096626. [PMID: 36743236 PMCID: PMC9893640 DOI: 10.3389/fpsyg.2023.1096626] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Accepted: 01/02/2023] [Indexed: 01/21/2023] Open
Abstract
Introduction Several studies have identified ultra-high-risk criteria that may characterize an at-risk mental state and predict the transition of psychotic evolution. Personality traits may play a crucial role in this process. Aims The current study aims to: (a) explore the evolution of an initial diagnosis over 12 months; (b) assess differences in social and occupational functioning; (c) identify common (trans-diagnostic) personality traits of psychotic risk. Methods The sample includes 97 (44 males and 53 females) young adults. They completed an assessment that consists of socio-demographic data, the Social and Occupational Functioning Scale, the Early Recognition Inventory-retrospective assessment onset of schizophrenia, and the Personality Inventory for DSM-5 (PID-5). According to the tests' assessment, the sample was divided into three different groups: Ultra-High Risk (UHR), At-Risk, and Not at risk. One year after the first evaluation, psychiatrists administered the QuickSCID-5 to verify the diagnostic trajectories of the sample. Results Overall, the most prevalent category diagnoses were anxiety/depression, personality disorders, and psychosis. Specifically, the most common diagnosis in the UHR group was psychosis. Moreover, in the UHR group, the social and occupational functioning score was the lowest. In terms of differences in PID-5 personality traits, the At-risk and UHR groups scored highest in detachment and disinhibition. No statistically significant differences were found between the groups for negative affectivity, antagonism, and psychoticism traits. Conclusion Results obtained by the current study should be considered an attempt to better understand the diagnostic trajectories and trans-diagnostic personality traits in a group of young help-seekers, specifically in UHR. Findings highlight both the importance of diagnosis and personality traits evaluation to customize a specific intervention based on the level of psychotic risk. Clinical suggestions are reported.
Collapse
Affiliation(s)
- Francesca De Salve
- Department of Psychology, Catholic University of Milan, Milan, Italy,*Correspondence: Francesca De Salve, ✉
| | - Chiara Rossi
- Department of Psychology, Catholic University of Milan, Milan, Italy
| | - Cesare Cavalera
- Department of Psychology, Catholic University of Milan, Milan, Italy
| | - Malvini Lara
- Department of Mental Health and Addiction Services, Niguarda Hospital, Milan, Italy
| | - Barbera Simona
- Department of Mental Health and Addiction Services, Niguarda Hospital, Milan, Italy
| | - Tagliabue Sofia
- Department of Mental Health and Addiction Services, Niguarda Hospital, Milan, Italy
| | - Percudani Mauro
- Department of Mental Health and Addiction Services, Niguarda Hospital, Milan, Italy
| | - Oasi Osmano
- Department of Psychology, Catholic University of Milan, Milan, Italy,Oasi Osmano, ✉
| |
Collapse
|
40
|
Nagy Á, Dombi J, Fülep MP, Rudics E, Hompoth EA, Szabó Z, Dér A, Búzás A, Viharos ZJ, Hoang AT, Maczák B, Vadai G, Gingl Z, László S, Bilicki V, Szendi I. The Actigraphy-Based Identification of Premorbid Latent Liability of Schizophrenia and Bipolar Disorder. SENSORS (BASEL, SWITZERLAND) 2023; 23:958. [PMID: 36679755 PMCID: PMC9863012 DOI: 10.3390/s23020958] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 01/06/2023] [Accepted: 01/08/2023] [Indexed: 06/17/2023]
Abstract
(1) Background and Goal: Several studies have investigated the association of sleep, diurnal patterns, and circadian rhythms with the presence and with the risk states of mental illnesses such as schizophrenia and bipolar disorder. The goal of our study was to examine actigraphic measures to identify features that can be extracted from them so that a machine learning model can detect premorbid latent liabilities for schizotypy and bipolarity. (2) Methods: Our team developed a small wrist-worn measurement device that collects and identifies actigraphic data based on an accelerometer. The sensors were used by carefully selected healthy participants who were divided into three groups: Control Group (C), Cyclothymia Factor Group (CFG), and Positive Schizotypy Factor Group (PSF). From the data they collected, our team performed data cleaning operations and then used the extracted metrics to generate the feature combinations deemed most effective, along with three machine learning algorithms for categorization. (3) Results: By conducting the training, we were able to identify a set of mildly correlated traits and their order of importance based on the Shapley value that had the greatest impact on the detection of bipolarity and schizotypy according to the logistic regression, Light Gradient Boost, and Random Forest algorithms. (4) Conclusions: These results were successfully compared to the results of other researchers; we had a similar differentiation in features used by others, and successfully developed new ones that might be a good complement for further research. In the future, identifying these traits may help us identify people at risk from mental disorders early in a cost-effective, automated way.
Collapse
Affiliation(s)
- Ádám Nagy
- Department of Software Engineering, University of Szeged, 13 Dugonics Square, 6720 Szeged, Hungary
| | - József Dombi
- Department of Computer Algorithms and Artificial Intelligence, University of Szeged, 2 Árpád Square, 6720 Szeged, Hungary
| | - Martin Patrik Fülep
- Department of Software Engineering, University of Szeged, 13 Dugonics Square, 6720 Szeged, Hungary
| | - Emese Rudics
- Department of Software Engineering, University of Szeged, 13 Dugonics Square, 6720 Szeged, Hungary
- Doctoral School of Interdisciplinary Medicine, Department of Medical Genetics, University of Szeged, 4 Somogyi Béla Street, 6720 Szeged, Hungary
| | - Emőke Adrienn Hompoth
- Department of Software Engineering, University of Szeged, 13 Dugonics Square, 6720 Szeged, Hungary
| | - Zoltán Szabó
- Department of Software Engineering, University of Szeged, 13 Dugonics Square, 6720 Szeged, Hungary
| | - András Dér
- ELKH Biological Research Centre, Institute of Biophysics, 62 Temesvári Boulevard, 6726 Szeged, Hungary
| | - András Búzás
- ELKH Biological Research Centre, Institute of Biophysics, 62 Temesvári Boulevard, 6726 Szeged, Hungary
| | - Zsolt János Viharos
- Institute for Computer Science and Control, Center of Excellence in Production Informatics and Control, Eötvös Lóránd Research Network (ELKH), Center of Excellence of the Hungarian Academy of Sciences (MTA), 13-17 Kende Street, 1111 Budapest, Hungary
- Faculty of Economics and Business, John von Neumann University, 10 Izsáki Street, 6000 Kecskemét, Hungary
| | - Anh Tuan Hoang
- Institute for Computer Science and Control, Center of Excellence in Production Informatics and Control, Eötvös Lóránd Research Network (ELKH), Center of Excellence of the Hungarian Academy of Sciences (MTA), 13-17 Kende Street, 1111 Budapest, Hungary
| | - Bálint Maczák
- Department of Technical Informatics, University of Szeged, 2 Árpád Square, 6720 Szeged, Hungary
| | - Gergely Vadai
- Department of Technical Informatics, University of Szeged, 2 Árpád Square, 6720 Szeged, Hungary
| | - Zoltán Gingl
- Department of Technical Informatics, University of Szeged, 2 Árpád Square, 6720 Szeged, Hungary
| | - Szandra László
- Doctoral School of Interdisciplinary Medicine, Department of Medical Genetics, University of Szeged, 4 Somogyi Béla Street, 6720 Szeged, Hungary
| | - Vilmos Bilicki
- Department of Software Engineering, University of Szeged, 13 Dugonics Square, 6720 Szeged, Hungary
| | - István Szendi
- Department of Software Engineering, University of Szeged, 13 Dugonics Square, 6720 Szeged, Hungary
- Department of Psychiatry, Kiskunhalas Semmelweis Hospital, 1 Dr. Monszpart László Street, 6400 Kiskunhalas, Hungary
| |
Collapse
|
41
|
Suman A, Nehra R, Sahoo S, Grover S. Prevalence of loneliness and its correlates among patients with schizophrenia. Int J Soc Psychiatry 2022. [PMID: 36573290 DOI: 10.1177/00207640221141646] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
BACKGROUND There are limited data on loneliness and its correlates in patients with schizophrenia. OBJECTIVE To evaluate prevalence and correlates of loneliness in patients with schizophrenia, currently in clinical remission. METHODOLOGY A total of 160 patients of schizophrenia in clinical remission were assessed on UCLA Loneliness Scale, Positive and Negative syndrome scale, Calgary Depression Scale for Schizophrenia (CDSS), Internalized Stigma of Mental Illness Scale, Rosenberg Self-esteem Scale, Brief COPE, Beck's Hopelessness Scale, Brief Dyadic Scale of Expressed Emotions, and Self-report Quality of Life Measure. RESULTS The mean age of the study sample was 34.99 (SD = 9.13) years. The prevalence of loneliness in the study sample was 80%, with mean total UCLA-loneliness scale score of 30.04 (16.9).Compared to participants without loneliness, those with loneliness had had higher CDSS score, had poor quality of life, lower self-esteem, experienced higher level of stigma, more often used maladaptive coping strategies such as self-blaming and reported a higher level of hopelessness. In the correlation analysis, higher level of loneliness was associated higher severity of depression, higher level of stigma (except for stigma resistance) and discrimination, poorer quality of life, lower self-esteem, perception of a higher level of expressed emotions, higher use of maladaptive coping in the domains of behavioral disengagement, and self-blaming, and a higher level of hopelessness. In regression analysis, the maximum variance of loneliness was explained by quality of life score (29%), followed by hopelessness score (8.8%) and discrimination score (2%). CONCLUSION There is a high prevalence of loneliness in patients with schizophrenia, and there is a need to routinely evaluate the patients of schizophrenia for loneliness and address the same.
Collapse
Affiliation(s)
- Aarzoo Suman
- Department of Psychiatry, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Ritu Nehra
- Department of Psychiatry, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Swapnajeet Sahoo
- Department of Psychiatry, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Sandeep Grover
- Department of Psychiatry, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| |
Collapse
|
42
|
Lin B, Li XB, Ruan S, Wu YX, Zhang CY, Wang CY, Wang LB. Convergent and divergent gray matter volume abnormalities in unaffected first-degree relatives and ultra-high risk individuals of schizophrenia. SCHIZOPHRENIA 2022; 8:55. [PMID: 35853913 PMCID: PMC9261104 DOI: 10.1038/s41537-022-00261-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 05/24/2022] [Indexed: 01/10/2023]
Abstract
High-risk populations of schizophrenia can be mainly identified as genetic high-risk based on putative endophenotypes or ultra-high-risk (UHR) based on clinically manifested symptoms. Previous studies have consistently shown brain structural abnormalities in both genetic high-risk and UHR individuals. In this study, we aimed to disentangle the convergent and divergent pattern of gray matter alterations between UHR and unaffected first-degree relatives from genetic high-risk individuals. We used structural MRI scans and voxel-based morphometry method to examine gray matter volume (GMV) differences among 23 UHR subjects meeting the Structured Interview for Prodromal Syndromes (SIPS) criteria, 18 unaffected first-degree relatives (UFDR), 26 first-episode schizophrenia patients (FES) and 54 healthy controls (CN). We found that a number of brain regions exhibited a monotonically decreasing trend of GMV from CN to UFDR to UHR to FES. Compared with CN, the UHR subjects showed significant decreases of GMV similar to the patients in the inferior temporal gyrus, fusiform gyrus, middle occipital gyrus, insula, and limbic regions. Moreover, the UHR transformed subgroup had significantly lower GMV than UHR non-transformed subgroup in the right inferior temporal/fusiform gyrus. On the other hand, the UFDR subjects only showed significant GMV decreases in the inferior temporal gyrus and fusiform. Moreover, we found GMV in the occipital lobe was negatively correlated with the UHR subjects’ composite positive symptom of SIPS, and GMV in the cerebellum was positively correlated with FES subjects’ symptom severity. Our results suggest that GMV deficits and regional dysfunction are evident prior to the onset of psychosis and are more prominent in the UHR than the UFDR individuals.
Collapse
|
43
|
Antipsychotic prescription, assumption and conversion to psychosis: resolving missing clinical links to optimize prevention through precision. SCHIZOPHRENIA 2022; 8:48. [PMID: 35853891 PMCID: PMC9261109 DOI: 10.1038/s41537-022-00254-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Accepted: 04/04/2022] [Indexed: 11/08/2022]
Abstract
AbstractThe current concept of clinical high-risk(CHR) of psychosis relies heavily on “below-threshold” (i.e. attenuated or limited and intermittent) psychotic positive phenomena as predictors of the risk for future progression to “above-threshold” positive symptoms (aka “transition” or “conversion”). Positive symptoms, even at attenuated levels are often treated with antipsychotics (AP) to achieve clinical stabilization and mitigate the psychopathological severity. The goal of this study is to contextually examine clinicians’ decision to prescribe AP, CHR individuals’ decision to take AP and psychosis conversion risk in relation to prodromal symptoms profiles. CHR individuals (n = 600) were recruited and followed up for 2 years between 2016 and 2021. CHR individuals were referred to the participating the naturalistic follow-up study, which research procedure was independent of the routine clinical treatment. Clinical factors from the Structured Interview for Prodromal Syndromes (SIPS) and global assessment of function (GAF) were profiled via exploratory factor analysis (EFA), then the extracted factor structure was used to investigate the relationship of prodromal psychopathology with clinicians’ decisions to AP-prescription, CHR individuals’ decisions to AP-taking and conversion to psychosis. A total of 427(71.2%) CHR individuals were prescribed AP at baseline, 532(88.7%) completed the 2-year follow-up, 377(377/532, 70.9%) were taken AP at least for 2 weeks during the follow-up. EFA identified six factors (Factor-1-Negative symptoms, Factor-2-Global functions, Factor-3-Disorganized communication & behavior, Factor-4-General symptoms, Factor-5-Odd thoughts, and Factor-6-Distorted cognition & perception). Positive symptoms (Factor-5 and 6) and global functions (Factor-2) factors were significant predictors for clinicians’ decisions to AP-prescription and CHR individuals’ decisions to assume AP, whereas negative symptoms (Factor-1) and global functions (Factor-2) factors predicted conversion. While decisions to AP-prescription, decisions to AP-taking were associated to the same factors (positive symptoms and global functions), only one of those was predictive of conversion, i.e. global functions. The other predictor of conversion, i.e. negative symptoms, did not seem to be contemplated both on the clinician and patients’ sides. Overall, the findings indicated that a realignment in the understanding of AP usage is warranted.
Collapse
|
44
|
Reich D, Evans S, O'Shea M. Stakeholder views on mindfulness for youth at risk for psychosis. Int J Ment Health Nurs 2022; 31:1390-1404. [PMID: 35779266 PMCID: PMC9796432 DOI: 10.1111/inm.13038] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/18/2022] [Indexed: 01/01/2023]
Abstract
Interventions incorporating mindfulness for youth identified to be at risk for psychosis show promise for symptom management yet to be addressed by other approaches. Important questions remain as to how to safely and effectively implement these interventions with this cohort. The aim of this research was to collaboratively identify with stakeholders of such interventions, namely youth at risk for psychosis, and practitioners with experience working with youth at risk for psychosis - attitudes towards mindfulness and potential intervention adaptations to ensure the safety, uptake, and effectiveness of mindfulness interventions used with youth at risk for psychosis. Consolidated criteria for reporting qualitative studies were adopted. Eight practitioners and six at risk for psychosis individuals were interviewed. Both groups identified significant potential benefits of mindfulness, for stress and relaxation, managing difficult thoughts and emotions, increasing positive emotions, improving functioning, and patient empowerment within treatment participation. Stakeholders identified the helpfulness of including compassion-based practices, emphasizing experiential and concrete material, shorter and guided exercises, the targeting of anxiety and attenuated psychotic symptomology, and making the goals or intent of practice youth relevant. Significant barriers were identified - poor functioning and low motivation, high self-criticism, concurrent medication and substance use, and perceptions of mindfulness that may impact uptake (e.g. it requires relaxation to work). Formulation of and research into comprehensive clinical guidelines will help ensure the safe and effective use of future mindfulness and compassion-based practices with at risk for psychosis individuals.
Collapse
Affiliation(s)
- Daniel Reich
- School of Psychology, Deakin University, Geelong, Victoria, Australia
| | - Subhadra Evans
- School of Psychology, Deakin University, Geelong, Victoria, Australia
| | - Melissa O'Shea
- School of Psychology, Deakin University, Geelong, Victoria, Australia
| |
Collapse
|
45
|
Nestor PG, Levin LK, Stone WS, Giuliano AJ, Seidman LJ, Levitt JJ. Brain structural abnormalities of the associative striatum in adolescents and young adults at genetic high-risk of schizophrenia: Implications for illness endophenotypes. J Psychiatr Res 2022; 155:355-362. [PMID: 36179416 DOI: 10.1016/j.jpsychires.2022.08.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 08/26/2022] [Accepted: 08/31/2022] [Indexed: 11/15/2022]
Abstract
OBJECTIVE Dysfunction in cortico-striatal circuitry represents a core component of the pathophysiology in schizophrenia (SZ) but its potential as a candidate endophenotype of the illness is often confounded by neuroleptic medication. METHODS Accordingly, 26 adolescent and young adult participants at genetic high-risk for schizophrenia, but who were asymptomatic and neuroleptic naïve, and 28 age-matched controls underwent 1.5T structural magnetic resonance imaging of the striatum, manually parcellated into limbic (LST), associative (AST), and sensorimotor (SMST) functional subregions. RESULTS In relation to their age peers, participants at genetic high-risk for schizophrenia showed overall lower striatal gray matter volume with their most pronounced loss, bilaterally in the AST, but not the LST or SMST. Neuropsychological testing revealed reduced executive functioning for genetically at-risk participants, although the groups did not differ significantly in overall intelligence or oral reading. For controls but not for at-genetic high-risk participants, stronger executive functioning correlated with increased bilateral AST volume. CONCLUSIONS Reduced bilateral AST volume in genetic high-risk adolescents and young adults, accompanied by heritable loss of higher cognitive brain-behavior relationships, might serve as a useful endophenotype of SZ.
Collapse
Affiliation(s)
- Paul G Nestor
- Department of Psychology, University of Massachusetts, Boston, MA, USA; Clinical Neuroscience Division, Laboratory of Neuroscience, Department of Psychiatry, VA Boston Healthcare System, Brockton Division, Brockton, MA, 02301, USA; Harvard Medical School, Boston, MA, 02115, USA
| | - Laura K Levin
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02215, USA
| | - William S Stone
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Massachusetts Mental Health Center, Harvard Medical School, Boston, MA, 02115, USA
| | - Anthony J Giuliano
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Massachusetts Mental Health Center, Harvard Medical School, Boston, MA, 02115, USA
| | - Larry J Seidman
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Massachusetts Mental Health Center, Harvard Medical School, Boston, MA, 02115, USA
| | - James J Levitt
- Clinical Neuroscience Division, Laboratory of Neuroscience, Department of Psychiatry, VA Boston Healthcare System, Brockton Division, Brockton, MA, 02301, USA; Harvard Medical School, Boston, MA, 02115, USA; Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02215, USA.
| |
Collapse
|
46
|
Premorbid adjustment associates with cognitive and functional deficits in individuals at ultra-high risk of psychosis. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2022; 8:79. [PMID: 36207320 PMCID: PMC9547050 DOI: 10.1038/s41537-022-00285-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 08/03/2022] [Indexed: 11/05/2022]
Abstract
Premorbid social and academic adjustment are important predictors of cognitive and functional performance in schizophrenia. Whether this relationship is also present in individuals at ultra-high risk (UHR) for psychosis is the focus of the present study. Using baseline data from a randomised clinical trial (N = 146) this study investigated associations between premorbid adjustment and neuro- and social cognition and functioning in UHR individuals aged 18–40 years. Patients were evaluated with the Premorbid Adjustment Scale (PAS) comprising a social and an academic domain. Using validated measures neurocognition was assessed in the domains of processing speed, executive function, attention, verbal learning and memory, visual learning and memory, and working memory along with estimated IQ. Social cognitive domains assessed were theory of mind, emotion recognition, and attributional bias. Functional assessment comprised the domains of social- and role functioning, functional capacity, and quality of life. Linear regression analyses revealed poor premorbid academic adjustment to be associated with poorer performance in processing speed, working memory, attention, full scale IQ, and verbal IQ. Poor premorbid social adjustment was associated with theory of mind deficits. Additionally, both premorbid adjustment domains were associated with social- and role functioning and quality of life. Corroborating evidence from schizophrenia samples, our findings indicate poor premorbid adjustment to correlate with deficits in specific cognitive and functional domains in UHR states. Early premorbid adjustment difficulties may therefore indicate a poor cognitive and functional trajectory associated with significant impairments in early and established psychotic disorders suggesting targets for primary intervention.
Collapse
|
47
|
Fekih-Romdhane F, Away R, Jahrami H, Cheour M. Internet addiction is associated with psychological distress in highly schizotypal students. Early Interv Psychiatry 2022. [PMID: 36196053 DOI: 10.1111/eip.13362] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 08/25/2022] [Accepted: 09/18/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND There is some limited evidence of an association between technology addictions and emergence of pre-psychotic symptoms, high psychoticism, psychotic like experiences and high schizotypy among young non-clinical adults. These addictions and their subsequent distress are likely to contribute to transition to psychosis in individuals at risk. We aimed to compare smartphone, Internet and Facebook addictions between low and high schizotypal individuals; and to explore the association between these addictions and distress in the high schizotypy group. METHODS From a pool of 700 students, the final sample consisted of 74 low schizotypal and 70 high schizotypal students. The Schizotypal Personality Questionnaire, the Bergen Facebook Addiction Scale, the Internet Addiction Test, the Smartphone Addiction Scale-Short Version and the Depression, Anxiety and Stress Scales. RESULTS Students of the high schizotypy group displayed significantly greater scores on smartphone (p < .001), Internet (p < .001) and Facebook (p = .001) addictions scales, as compared to those of the low schizotypy group. After controlling for potential confounders, Internet addiction predicted psychological distress in the high schizotypy group (R2 = 0.380, F(13,55) = 2.597, p < .001) and explained an additional 19.7% of variation in Depression, Anxiety and Stress Scales total scores in the final model. CONCLUSION Although preliminary, our findings shed light on relatively new avenues for prevention and early intervention in psychosis. It is recommended to raise awareness about Internet addiction risks, particularly among vulnerable young adults; and to find ways to turn Internet into a protective rather than stressor factor, by utilizing it as a resource in the care pathway.
Collapse
Affiliation(s)
- Feten Fekih-Romdhane
- Faculty of Medicine of Tunis, Tunis El Manar University, Tunis, Tunisia.,The Tunisian Center of Early Intervention in Psychosis, Department of Psychiatry Ibn Omrane, Razi Hospital, Tunis, Tunisia
| | - Rami Away
- Faculty of Medicine of Tunis, Tunis El Manar University, Tunis, Tunisia
| | - Haitham Jahrami
- College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Bahrain.,Ministry of Health, Manama, Bahrain
| | - Majda Cheour
- Faculty of Medicine of Tunis, Tunis El Manar University, Tunis, Tunisia.,The Tunisian Center of Early Intervention in Psychosis, Department of Psychiatry Ibn Omrane, Razi Hospital, Tunis, Tunisia
| |
Collapse
|
48
|
Moore TM, Calkins ME, Rosen AFG, Butler ER, Ruparel K, Fusar-Poli P, Koutsouleris N, McGuire P, Cannon TD, Gur RC, Gur RE. Development of a probability calculator for psychosis risk in children, adolescents, and young adults. Psychol Med 2022; 52:3159-3167. [PMID: 33431073 PMCID: PMC8273212 DOI: 10.1017/s0033291720005231] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
BACKGROUND Assessment of risks of illnesses has been an important part of medicine for decades. We now have hundreds of 'risk calculators' for illnesses, including brain disorders, and these calculators are continually improving as more diverse measures are collected on larger samples. METHODS We first replicated an existing psychosis risk calculator and then used our own sample to develop a similar calculator for use in recruiting 'psychosis risk' enriched community samples. We assessed 632 participants age 8-21 (52% female; 48% Black) from a community sample with longitudinal data on neurocognitive, clinical, medical, and environmental variables. We used this information to predict psychosis spectrum (PS) status in the future. We selected variables based on lasso, random forest, and statistical inference relief; and predicted future PS using ridge regression, random forest, and support vector machines. RESULTS Cross-validated prediction diagnostics were obtained by building and testing models in randomly selected sub-samples of the data, resulting in a distribution of the diagnostics; we report the mean. The strongest predictors of later PS status were the Children's Global Assessment Scale; delusions of predicting the future or having one's thoughts/actions controlled; and the percent married in one's neighborhood. Random forest followed by ridge regression was most accurate, with a cross-validated area under the curve (AUC) of 0.67. Adjustment of the model including only six variables reached an AUC of 0.70. CONCLUSIONS Results support the potential application of risk calculators for screening and identification of at-risk community youth in prospective investigations of developmental trajectories of the PS.
Collapse
Affiliation(s)
- Tyler M. Moore
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Lifespan Brain Institute, Penn Medicine and Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Monica E. Calkins
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Lifespan Brain Institute, Penn Medicine and Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Adon F. G. Rosen
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Ellyn R. Butler
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Kosha Ruparel
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Lifespan Brain Institute, Penn Medicine and Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Paolo Fusar-Poli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- OASIS service, South London and Maudsley NHS Foundation Trust, London, UK
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Germany
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Tyrone D. Cannon
- Departments of Psychology and Psychiatry, Yale University, New Haven, CT 06520, USA
| | - Ruben C. Gur
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Lifespan Brain Institute, Penn Medicine and Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Raquel E. Gur
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Lifespan Brain Institute, Penn Medicine and Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| |
Collapse
|
49
|
Lång U, Ramsay H, Yates K, Veijola J, Gyllenberg D, Clarke MC, Leacy FP, Gissler M, Kelleher I. Potential for prediction of psychosis and bipolar disorder in Child and Adolescent Mental Health Services: a longitudinal register study of all people born in Finland in 1987. World Psychiatry 2022; 21:436-443. [PMID: 36073707 PMCID: PMC9453911 DOI: 10.1002/wps.21009] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Current strategies to predict psychosis identify only a small proportion of individuals at risk. Additional strategies are needed to increase capacity for pre-diction and prevention of serious mental illness, ideally during childhood and adolescence. One possible approach would be to investigate systems in which psychosis risk factors are concentrated during childhood. One notable such system is represented by Child and Adolescent Mental Health Services (CAMHS). Although psychotic disorders are uncommon in CAMHS, many risk factors for psychosis are highly prevalent in young people who enter this system. We hypothesized, therefore, that youth attending CAMHS would be a high-risk group for psychosis if followed into adulthood and, furthermore, that CAMHS systems would capture a substantial proportion of future psychosis cases. We constructed a total population cohort study of all Finns born in 1987 (N=55,875), linking together extensive register data on health care contacts from birth through age 28 years. We identified all individuals diagnosed with a psychotic or bipolar disorder by age 28 (N=1,785). The risk of psychosis/bipolar disorder by age 28 years was 1.8% for individuals who had not attended CAMHS during childhood or adolescence, whereas it was 12.8% for those with a history of any outpatient CAMHS contact (odds ratio, OR=7.9, 95% CI: 7.2-8.7). Furthermore, the risk of psychosis/bipolar disorder by age 28 years was 2.3% for individuals without a history of inpatient CAMHS admission, whereas it was 24.0% for those with a history of inpatient CAMHS admission (OR=13.3, 95% CI: 11.9-14.9), and 36.5% for those with a history of inpatient CAMHS admission in adolescence (age 13-17 years) (OR=24.2, 95% CI: 21.2-27.6). Individuals who attended CAMHS but received no mental disorder diagnosis had an equally high risk of subsequently developing a psychosis/bipolar disorder as individuals who did receive a diagnosis (OR=0.9, 99.5% CI: 0.7-1.1). Compared to other CAMHS attendees, individuals who developed psychosis or bipolar disorder were more likely to have had an initial CAMHS diagnosis of depressive or other mood disorder (OR=2.3, 99.5% CI: 1.6-3.0) and disruptive behaviour disorder (OR=1.7, 99.5% CI: 1.2-2.5). Of all psychosis/bipolar diagnoses by age 28 years, 50.2% occurred in individuals who had, at some point in childhood or adolescence, attended CAMHS, indicating that CAMHS represent not only a high-risk but also a high-capacity system for prediction of psychosis/bipolar disorder. These findings suggest an enormous, untapped potential for large-scale psychosis/bipolar disorder prediction and prevention research within existing specialist CAMHS.
Collapse
Affiliation(s)
- Ulla Lång
- School of Medicine, University College Dublin, Health Science CentreDublinIreland,Department of PsychiatryRCSI University of Medicine and Health SciencesDublinIreland
| | - Hugh Ramsay
- School of Medicine, University College Dublin, Health Science CentreDublinIreland,St. Michael's HouseDublinIreland
| | - Kathryn Yates
- Department of PsychiatryRCSI University of Medicine and Health SciencesDublinIreland
| | - Juha Veijola
- Research Unit of Clinical Neuroscience, Department of PsychiatryUniversity of OuluOuluFinland,Department of PsychiatryUniversity Hospital of OuluOuluFinland
| | - David Gyllenberg
- Department of Child Psychiatry and INVEST Research Flagship CenterUniversity of TurkuTurkuFinland,Turku University HospitalTurkuFinland,Department of Adolescent PsychiatryUniversity of HelsinkiHelsinkiFinland,Helsinki University Central HospitalHelsinkiFinland,Welfare DepartmentNational Institute for Health and WelfareHelsinkiFinland
| | - Mary C. Clarke
- Department of PsychiatryRCSI University of Medicine and Health SciencesDublinIreland,Department of PsychologyRCSI University of Medicine and Health SciencesDublinIreland
| | - Finbarr P. Leacy
- Health Products Regulatory AuthorityEarlsfort CentreDublinIreland
| | - Mika Gissler
- Information Services DepartmentNational Institute of Health and WelfareHelsinkiFinland,Research Centre for Child PsychiatryUniversity of TurkuTurkuFinland,Department of Molecular Medicine and SurgeryKarolinska InstituteStockholmSweden,Academic Primary Health Care CentreRegion StockholmStockholmSweden
| | - Ian Kelleher
- School of Medicine, University College Dublin, Health Science CentreDublinIreland,Department of PsychiatryRCSI University of Medicine and Health SciencesDublinIreland,Lucena Clinic Child and Adolescent Mental Health ServiceSt. John of God Hospitaller ServicesDublinIreland,Division of Psychiatry, Centre for Clinical Brain Sciences, Royal Edinburgh HospitalUniversity of EdinburghEdinburghUK
| |
Collapse
|
50
|
Harvey PD, Bosia M, Cavallaro R, Howes OD, Kahn RS, Leucht S, Müller DR, Penadés R, Vita A. Cognitive dysfunction in schizophrenia: An expert group paper on the current state of the art. Schizophr Res Cogn 2022; 29:100249. [PMID: 35345598 PMCID: PMC8956816 DOI: 10.1016/j.scog.2022.100249] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Revised: 03/14/2022] [Accepted: 03/17/2022] [Indexed: 11/12/2022]
Abstract
Cognitive impairment in schizophrenia represents one of the main obstacles to clinical and functional recovery. This expert group paper brings together experts in schizophrenia treatment to discuss scientific progress in the domain of cognitive impairment to address cognitive impairments and their consequences in the most effective way. We report on the onset and course of cognitive deficits, linking them to the alterations in brain function and structure in schizophrenia and discussing their role in predicting the transition to psychosis in people at risk. We then address the assessment tools with reference to functioning and social cognition, examining the role of subjective measures and addressing new methods for measuring functional outcomes including technology based approaches. Finally, we briefly review treatment options for cognitive deficits, focusing on cognitive remediation programs, highlighting their effects on brain activity and conclude with the potential benefit of individualized integrated interventions combing cognitive remediation with other approaches.
Collapse
Affiliation(s)
- Philip D Harvey
- Division of Psychology, Department of Psychiatry, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Marta Bosia
- Vita-Salute San Raffaele University School of Medicine, Milan, Italy; Department of Clinical Neurosciences, IRCCS San Raffaele Scientific Institute Hospital, Milan, Italy
| | - Roberto Cavallaro
- Vita-Salute San Raffaele University School of Medicine, Milan, Italy; Department of Clinical Neurosciences, IRCCS San Raffaele Scientific Institute Hospital, Milan, Italy
| | - Oliver D Howes
- Institute of Psychiatry, Psychology and Neurosciences, King's College London, London, UK.,MRC London Institute of Medical Sciences, Imperial College London, London, UK
| | - René S Kahn
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Stefan Leucht
- Section Evidence-Based Medicine in Psychiatry and Psychotherapy, Department of Psychiatry and Psychotherapy, Technical University of Munich, School of Medicine, Munich, Germany
| | - Daniel R Müller
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Rafael Penadés
- Department of Psychiatry and Psychology, Hospital Clinic of Barcelona, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel Street, 08036 Barcelona, Spain
| | - Antonio Vita
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.,Department of Mental Health and Addiction Services, Spedali Civili Hospital, Brescia, Italy
| |
Collapse
|