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Shah JL, Paquin V, McIlwaine SV, Malla AK, Joober R, Pruessner M. Examining the psychobiological response to acute social stress across clinical stages and symptom trajectories in the early psychosis continuum. Dev Psychopathol 2024; 36:774-786. [PMID: 36852607 DOI: 10.1017/s0954579423000056] [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: 03/01/2023]
Abstract
The stress-vulnerability model has been repeatedly highlighted in relation to the risk, onset and course of psychosis, and has been independently studied in clinical high-risk (CHR) and first-episode psychosis (FEP) populations. Notable in this literature, however, is that there are few studies directly comparing markers of stress response across progressive stages of illness. Here we examined the psychobiological response to the Trier Social Stress Test in 28 CHR (mean age 19.1) and 61 FEP (age 23.0) patients, in order to understand the stage(s) or trajectories in which differences in subjective stress or physiological response occur. The overall clinical sample had greater perceived stress and blunted cortisol (FEP + CHR, n = 89, age 21.7) compared with healthy controls (n = 45, age 22.9). Additional analyses demonstrated elevated heart rate and systolic blood pressure in FEP compared with CHR, but there were no further differences in physiological parameters (cortisol, heart rate, or blood pressure) between stage- or trajectory-based groups. Together, this suggests that individual stress response markers may differentially emerge at particular stages en route to psychosis - and demonstrates how stage-based analyses can shed light on the emergence and evolution of neurobiological changes in mental illness.
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Affiliation(s)
- Jai L Shah
- Department of Psychiatry, McGill University, Montreal, Canada
| | - Vincent Paquin
- Department of Psychiatry, McGill University, Montreal, Canada
| | - Sarah V McIlwaine
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada
| | - Ashok K Malla
- Department of Psychiatry, McGill University, Montreal, Canada
| | - Ridha Joober
- Department of Psychiatry, McGill University, Montreal, Canada
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2
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Ologundudu OM, Palaniyappan L, Cipriano LE, Wijnen BFM, Anderson KK, Ali S. Risk stratification for treating people at ultra-high risk for psychosis: A cost-effectiveness analysis. Schizophr Res 2023; 261:225-233. [PMID: 37804598 DOI: 10.1016/j.schres.2023.09.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 08/27/2023] [Accepted: 09/04/2023] [Indexed: 10/09/2023]
Abstract
People who are at ultra-high risk (UHR) for psychosis receive clinical care with the aim to prevent first-episode psychosis (FEP), regardless of the risk of conversion to psychosis. An economic model from the Canadian health system perspective was developed to evaluate the cost-effectiveness of treating all with UHR compared to risk stratification over a 15-year time horizon, based on conversion probability, expected quality-of-life and costs. The analysis used a decision tree followed by a Markov model. Health states included: Not UHR, UHR with <20 % risk of conversion to FEP (based on the North American Prodrome Longitudinal Study risk calculator), UHR with ≥20 % risk, FEP, Remission, Post-FEP, and Death. The analysis found that: risk stratification (i.e., only treating those with ≥20 % risk) had lower costs ($1398) and quality-adjusted life-years (0.055 QALYs) per person compared to treating all. The incremental cost-effectiveness ratio for 'treat all' was $25,448/QALY, and suggests treating all may be cost-effective. The model was sensitive to changes to the probability of conversion.
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Affiliation(s)
- Olajumoke M Ologundudu
- Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - Lena Palaniyappan
- Department of Psychiatry, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada; Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Lauren E Cipriano
- Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada; Ivey Business School, Western University, London, Ontario, Canada
| | - Ben F M Wijnen
- Centre of Economic Evaluation (Trimbos Institute), Netherlands Institute of Mental Health and Addiction, Utrecht, the Netherlands; Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Kelly K Anderson
- Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada; Department of Psychiatry, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - Shehzad Ali
- Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada; Department of Health Sciences, University of York, United Kingdom; Department of Psychology, Macquarie University, Australia.
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3
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Lee TY, Hwang WJ, Kim NS, Park I, Lho SK, Moon SY, Oh S, Lee J, Kim M, Woo CW, Kwon JS. Prediction of psychosis: model development and internal validation of a personalized risk calculator. Psychol Med 2022; 52:2632-2640. [PMID: 33315005 PMCID: PMC9647536 DOI: 10.1017/s0033291720004675] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Revised: 11/04/2020] [Accepted: 11/11/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND Over the past two decades, early detection and early intervention in psychosis have become essential goals of psychiatry. However, clinical impressions are insufficient for predicting psychosis outcomes in clinical high-risk (CHR) individuals; a more rigorous and objective model is needed. This study aims to develop and internally validate a model for predicting the transition to psychosis within 10 years. METHODS Two hundred and eight help-seeking individuals who fulfilled the CHR criteria were enrolled from the prospective, naturalistic cohort program for CHR at the Seoul Youth Clinic (SYC). The least absolute shrinkage and selection operator (LASSO)-penalized Cox regression was used to develop a predictive model for a psychotic transition. We performed k-means clustering and survival analysis to stratify the risk of psychosis. RESULTS The predictive model, which includes clinical and cognitive variables, identified the following six baseline variables as important predictors: 1-year percentage decrease in the Global Assessment of Functioning score, IQ, California Verbal Learning Test score, Strange Stories test score, and scores in two domains of the Social Functioning Scale. The predictive model showed a cross-validated Harrell's C-index of 0.78 and identified three subclusters with significantly different risk levels. CONCLUSIONS Overall, our predictive model showed a predictive ability and could facilitate a personalized therapeutic approach to different risks in high-risk individuals.
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Affiliation(s)
- Tae Young Lee
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Psychiatry, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - Wu Jeong Hwang
- Department of Brain and Cognitive Neuroscience, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea
| | - Nahrie S. Kim
- Department of Psychiatry, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
- Department of Brain and Cognitive Neuroscience, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea
| | - Inkyung Park
- Department of Brain and Cognitive Neuroscience, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea
| | - Silvia Kyungjin Lho
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Sun-Young Moon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Sanghoon Oh
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Junhee Lee
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Minah Kim
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Choong-Wan Woo
- Department of Brain and Cognitive Neuroscience, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea
| | - Jun Soo Kwon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Brain and Cognitive Neuroscience, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea
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Estradé A, Salazar de Pablo G, Zanotti A, Wood S, Fisher HL, Fusar-Poli P. Public health primary prevention implemented by clinical high-risk services for psychosis. Transl Psychiatry 2022; 12:43. [PMID: 35091529 PMCID: PMC8799684 DOI: 10.1038/s41398-022-01805-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 01/08/2022] [Accepted: 01/14/2022] [Indexed: 02/06/2023] Open
Abstract
Clinical High Risk for Psychosis (CHR-P) services have been primarily developed to support young people with attenuated symptoms (indicated prevention). No evidence-based appraisal has systematically investigated to what extent these clinics may implement other preventive approaches. PRISMA 2020-compliant systematic review of Web of Science, Cochrane Central Register of Reviews, and Ovid/PsychINFO, from inception until 14th June 2021, identifying original studies describing public health strategies: (a) service characteristics (configuration of mental health service, outreach, pathways to care); (b) universal interventions (general population); (c) selective interventions targeting CHR-P service-users or family/carers. Public health preventive initiatives were systematically stratified according to core social determinants of mental disorders associated with the 2030 Sustainable Development Goals promoted by the United Nations Member States (UN 2030 SDG) and good mental health outcomes. A total of 66 publications were included, providing data on 13 standalone, 40 integrated, three networks, and six regional or international surveys of CHR-P services across Europe, Asia, Oceania, Africa, North and South America, providing care to >28 M people. CHR-P services implement numerous public health initiatives targeting social and cultural (16 initiatives), economic (seven initiatives), demographic (six initiatives), environmental events (four initiatives) and neighbourhood (three initiatives) UN 2030 SGD determinants of mental disorders. There is additional evidence for CHR-P services promoting good mental health. The main barriers were the lack of resources for expanding public health prevention at a large scale. CHR-P services implement numerous public health prevention initiatives and promotion of good mental health beyond indicated prevention of psychosis.
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Affiliation(s)
- Andrés Estradé
- grid.13097.3c0000 0001 2322 6764Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Gonzalo Salazar de Pablo
- grid.13097.3c0000 0001 2322 6764Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK ,grid.410526.40000 0001 0277 7938Institute of Psychiatry and Mental Health, Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CIBERSAM, Madrid, Spain ,grid.37640.360000 0000 9439 0839Child and Adolescent Mental Health Services, South London and Maudsley NHS Foundation Trust, London, UK
| | - Alice Zanotti
- grid.8982.b0000 0004 1762 5736Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Scott Wood
- grid.47100.320000000419368710Yale School of Medicine, Yale University, New Heaven, CT USA
| | - Helen L. Fisher
- grid.13097.3c0000 0001 2322 6764King’s College London, Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, London, UK ,grid.13097.3c0000 0001 2322 6764Economic & Social Research Council (ESRC) Centre for Society and Mental Health, King’s College London, London, UK
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK. .,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy. .,National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK. .,OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK.
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Phalen P, Millman Z, Rouhakhtar PR, Andorko N, Reeves G, Schiffman J. Categorical versus dimensional models of early psychosis. Early Interv Psychiatry 2022; 16:42-50. [PMID: 33559329 PMCID: PMC8349380 DOI: 10.1111/eip.13128] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 01/12/2021] [Accepted: 01/21/2021] [Indexed: 01/03/2023]
Abstract
AIM Early psychosis is typically operationalized as a categorical construct by dividing people into one of three diagnostic statuses: low-risk, clinical high-risk, and first episode psychosis. We empirically assess whether an alternative dimensional approach focused on observed symptom severity may be more desirable for clinical and research purposes. METHODS Participants were 152 help-seeking youths ages 12-22 years old. Structured interview for psychosis risk syndromes interviews were used to obtain dimensional psychosis symptom severity ratings, and to classify participants by categorical psychosis risk status. Twenty-five participants were classified as having a diagnosable psychotic disorder, 52 participants as clinical high-risk, and 75 participants as help-seeking controls. We assessed the relation between categorical and dimensional measurements of psychosis severity, and then compared categorical versus dimensional psychosis severity in their ability to predict social and role functioning. RESULTS On average, dimensional psychosis symptom severity increased along with categorical risk status (help-seeking control < clinical high-risk < diagnosable psychotic disorder). There was, however, considerable overlap between categories, with people at clinical high-risk being particularly hard to distinguish from people with diagnosable psychotic disorders on the basis of symptom severity. Dimensional symptom severity was more predictive of functioning than categorical risk status. CONCLUSIONS Categorical risk status and psychosis symptom severity are related but not interchangeable, and dimensional models of psychosis may be more predictive of functional outcomes. Adopting a dimensional rather than categorical approach to the psychosis risk spectrum may facilitate better predictive models and a richer theoretical understanding of early psychosis.
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Affiliation(s)
- Peter Phalen
- VA Capitol Health Care Network (VISN 5), Mental Illness Research, Education, and Clinical Center (MIRECC), Baltimore, Maryland, USA.,Division of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Zachary Millman
- Department of Psychology, University of Maryland, Baltimore, Maryland, USA.,Center of Excellence in Psychotic Disorders, McLean Hospital, Belmont, Massachusetts, USA.,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Nicole Andorko
- Department of Psychology, University of Maryland, Baltimore, Maryland, USA
| | - Gloria Reeves
- Division of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Jason Schiffman
- Department of Psychology, University of Maryland, Baltimore, Maryland, USA.,Psychological Science, University of California, Irvine, California, USA
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Salazar de Pablo G, Davies C, de Diego H, Solmi M, Shin JI, Carvalho AF, Radua J, Fusar-Poli P. Transition to psychosis in randomized clinical trials of individuals at clinical high risk of psychosis compared to observational cohorts: a systematic review and meta-analysis. Eur Psychiatry 2021; 64:e51. [PMID: 34315555 PMCID: PMC8390336 DOI: 10.1192/j.eurpsy.2021.2222] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Revised: 06/30/2021] [Accepted: 07/13/2021] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Individuals at clinical high risk of psychosis (CHR-P) recruited in randomized clinical trials (RCTs) and observational cohorts may display a different enrichment and hence risk of transition to psychosis. No meta-analysis has ever addressed this issue. METHODS "Preferred Reporting Items for Systematic reviews and Meta-Analyses" (PRISMA) and "Meta-analysis Of Observational Studies in Epidemiology" (MOOSE)-compliant meta-analysis. PubMed and Web of Science were searched until November 2020 (PROSPERO:CRD42021229223). We included nonoverlapping longitudinal studies (RCTs-control condition and observational cohorts) reporting the transition to psychosis in CHR-P individuals. The primary effect size measure was the cumulative risk of transition at 0.5, 1, and 2 years follow-up in RCTs compared to observational cohorts. Random effects meta-analyses, heterogeneity assessment, quality assessment, and meta-regressions were conducted. RESULTS Ninety-four independent studies (24 RCTs, 70 observational cohorts) and 9,243 individuals (mean age = 20.1 ± 3.0 years; 43.7% females) were included. The meta-analytical risk of transitioning to psychosis from a CHR-P stage was 0.091 (95% confidence intervals [CI] = 0.068-0.121) at 0.5 years, 0.140 (95% CI = 0.101-0.191) at 1 year and 0.165 (95% CI = 0.097-0.267) at 2 years follow-up in RCTs, and 0.081 (95% CI = 0.067-0.099) at 0.5 years, 0.138 (95% CI = 0.114-0.167) at 1 year, and 0.174 (95% CI = 0.156-0.193) at 2 years follow-up in observational cohorts. There were no between-group differences in transition risks (p > 0.05). The proportion of CHR-P individuals with substance use disorders (excluding alcohol and cannabis) was higher in observational cohorts (16.8, 95% CI = 13.3-21.0%) than in RCTs (3.4, 95% CI = 0.8-12.7%; p = 0.018). CONCLUSIONS There is no meta-analytic evidence supporting sampling biases in RCTs of CHR-P individuals. Further RCTs are needed to detect effective interventions to prevent psychosis in this at-risk group.
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Affiliation(s)
- Gonzalo Salazar de Pablo
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- Institute of Psychiatry and Mental Health, Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CIBERSAM, Madrid, Spain Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Cathy Davies
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Héctor de Diego
- Institute of Psychiatry and Mental Health, Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CIBERSAM, Madrid, Spain Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Marco Solmi
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- Department of Psychiatry, University of Ottawa, Department of Mental Health, The Ottawa Hospital
| | - Jae Il Shin
- Department of Paediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Andre F. Carvalho
- IMPACT (Innovation in Mental and Physical Health and Clinical Treatment) Strategic Research Centre, School of Medicine, Barwon Health, Deakin University, Geelong, VIC, Australia
| | - Joaquim Radua
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d’Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), CIBERSAM, Barcelona, Spain
- Department of Clinical Neuroscience, Centre for Psychiatric Research and Education, Karolinska Institutet, Stockholm, Sweden
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- OASIS service, South London and Maudsley NHS Foundation Trust, London, UK
- National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
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McIlwaine SV, Shah J. Mental Health Services Research Targeting the Clinical High-Risk State for Psychosis: Lessons, Future Directions and Integration with Patient Perspectives. Curr Psychiatry Rep 2021; 23:11. [PMID: 33533984 DOI: 10.1007/s11920-021-01224-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/13/2021] [Indexed: 12/30/2022]
Abstract
PURPOSE OF REVIEW We summarize the history of the clinical high-risk stage of psychosis (CHR), current research on this stage and recent critiques of the field, and evaluate current CHR guidelines and frameworks. RECENT FINDINGS Following its identification and characterization, CHR services have successfully been developed in North America, Europe, Australia and elsewhere. As reflected in guidelines, these services and their orientation largely emerged as an outgrowth of the framework pioneered by early intervention services for first-episode psychosis. We critically discuss what is known so far about the subjective experience of the CHR syndrome, the meaning of this "unofficial" diagnosis as well as what is known and unknown about the service-related needs. While a range of outstanding questions remain in the field, there is a particular need for patient-oriented work and to investigate the service-related needs of young people at CHR.
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Affiliation(s)
- Sarah V McIlwaine
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, QC, Canada
- Prevention and Early Intervention Programme for Psychosis (PEPP-Montreal), Douglas Mental Health University Institute, 7070 boul. Champlain, Verdun, Montreal, QC, H4H 1A8, Canada
| | - Jai Shah
- Prevention and Early Intervention Programme for Psychosis (PEPP-Montreal), Douglas Mental Health University Institute, 7070 boul. Champlain, Verdun, Montreal, QC, H4H 1A8, Canada.
- Department of Psychiatry, McGill University, Montreal, QC, Canada.
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Salazar de Pablo G, Estradé A, Cutroni M, Andlauer O, Fusar-Poli P. Establishing a clinical service to prevent psychosis: What, how and when? Systematic review. Transl Psychiatry 2021; 11:43. [PMID: 33441556 PMCID: PMC7807021 DOI: 10.1038/s41398-020-01165-x] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2020] [Revised: 11/27/2020] [Accepted: 12/03/2020] [Indexed: 01/29/2023] Open
Abstract
The first rate-limiting step to successfully translate prevention of psychosis in to clinical practice is to establish specialised Clinical High Risk for Psychosis (CHR-P) services. This study systematises the knowledge regarding CHR-P services and provides guidelines for translational implementation. We conducted a PRISMA/MOOSE-compliant (PROSPERO-CRD42020163640) systematic review of Web of Science to identify studies until 4/05/2020 reporting on CHR-P service configuration, outreach strategy and referrals, service user characteristics, interventions, and outcomes. Fifty-six studies (1998-2020) were included, encompassing 51 distinct CHR-P services across 15 countries and a catchment area of 17,252,666 people. Most services (80.4%) consisted of integrated multidisciplinary teams taking care of CHR-P and other patients. Outreach encompassed active (up to 97.6%) or passive (up to 63.4%) approaches: referrals came mostly (90%) from healthcare agencies. CHR-P individuals were more frequently males (57.2%). Most (70.6%) services accepted individuals aged 12-35 years, typically assessed with the CAARMS/SIPS (83.7%). Baseline comorbid mental conditions were reported in two-third (69.5%) of cases, and unemployment in one third (36.6%). Most services provided up to 2-years (72.4%), of clinical monitoring (100%), psychoeducation (81.1%), psychosocial support (73%), family interventions (73%), individual (67.6%) and group (18.9%) psychotherapy, physical health interventions (37.8%), antipsychotics (87.1%), antidepressants (74.2%), anxiolytics (51.6%), and mood stabilisers (38.7%). Outcomes were more frequently ascertained clinically (93.0%) and included: persistence of symptoms/comorbidities (67.4%), transition to psychosis (53.5%), and functional status (48.8%). We provide ten practical recommendations for implementation of CHR-P services. Health service knowledge summarised by the current study will facilitate translational efforts for implementation of CHR-P services worldwide.
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Affiliation(s)
- Gonzalo Salazar de Pablo
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Institute of Psychiatry and Mental Health, Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CIBERSAM, Madrid, Spain
| | - Andrés Estradé
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Clinical and Health Psychology, Catholic University, Montevideo, Uruguay
| | - Marcello Cutroni
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Olivier Andlauer
- Heads UP Service, East London NHS Foundation Trust, London, UK
- Centre for Psychiatry, Wolfson Institute of Preventive Medicine, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
- National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK.
- OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK.
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9
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Yung AR, Wood SJ, Malla A, Nelson B, McGorry P, Shah J. The reality of at risk mental state services: a response to recent criticisms. Psychol Med 2021; 51:212-218. [PMID: 31657288 PMCID: PMC7893503 DOI: 10.1017/s003329171900299x] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Revised: 09/27/2019] [Accepted: 09/29/2019] [Indexed: 12/11/2022]
Abstract
BACKGROUND In the 1990s criteria were developed to detect individuals at high and imminent risk of developing a psychotic disorder. These are known as the at risk mental state, ultra high risk or clinical high risk criteria. Individuals meeting these criteria are symptomatic and help-seeking. Services for such individuals are now found worldwide. Recently Psychological Medicine published two articles that criticise these services and suggest that they should be dismantled or restructured. One paper also provides recommendations on how ARMS services should be operate. METHODS In this paper we draw on the existing literature in the field and present the perspective of some ARMS clinicians and researchers. RESULTS Many of the critics' arguments are refuted. Most of the recommendations included in the Moritz et al. paper are already occurring. CONCLUSIONS ARMS services provide management of current problems, treatment to reduce risk of onset of psychotic disorder and monitoring of mental state, including attenuated psychotic symptoms. These symptoms are associated with a range of poor outcomes. It is important to assess them and track their trajectory over time. A new approach to detection of ARMS individuals can be considered that harnesses broad youth mental health services, such as headspace in Australia, Jigsaw in Ireland and ACCESS Open Minds in Canada. Attention should also be paid to the physical health of ARMS individuals. Far from needing to be dismantled we feel that the ARMS approach has much to offer to improve the health of young people.
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Affiliation(s)
- Alison R. Yung
- School of Health Sciences, The University of Manchester, Manchester, UK
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
- Orygen, The National Centre for Excellence in Youth Mental Health, Melbourne, Australia
| | - Stephen J. Wood
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
- Orygen, The National Centre for Excellence in Youth Mental Health, Melbourne, Australia
- School of Psychology, University of Birmingham, Birmingham, UK
| | - Ashok Malla
- Department of Psychiatry, Douglas Research Centre, McGill University, Montreal, Canada
| | - Barnaby Nelson
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
- Orygen, The National Centre for Excellence in Youth Mental Health, Melbourne, Australia
| | - Patrick McGorry
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
- Orygen, The National Centre for Excellence in Youth Mental Health, Melbourne, Australia
| | - Jai Shah
- Department of Psychiatry, Douglas Research Centre, McGill University, Montreal, Canada
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10
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McGorry PD, Nelson B, Wood SJ, Shah JL, Malla A, Yung A. Transcending false dichotomies and diagnostic silos to reduce disease burden in mental disorders. Soc Psychiatry Psychiatr Epidemiol 2020; 55:1095-1103. [PMID: 32683471 DOI: 10.1007/s00127-020-01913-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Accepted: 06/30/2020] [Indexed: 12/18/2022]
Affiliation(s)
- Patrick D McGorry
- Orygen, 35 Poplar Rd (Locked Bag 10), Parkville, VIC, 3052, Australia. .,Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia.
| | - Barnaby Nelson
- Orygen, 35 Poplar Rd (Locked Bag 10), Parkville, VIC, 3052, Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Stephen J Wood
- Orygen, 35 Poplar Rd (Locked Bag 10), Parkville, VIC, 3052, Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia.,School of Psychology, University of Birmingham, Birmingham, UK
| | - Jai L Shah
- Department of Psychiatry, McGill University, Montreal, Canada.,Prevention and Early Intervention Program for Psychosis (PEPP), Douglas Mental Health University Institute, Montreal, Canada.,ACCESS Open Minds, Douglas Mental Health University Institute, Montreal, Canada
| | - Ashok Malla
- Department of Psychiatry, McGill University, Montreal, Canada.,Prevention and Early Intervention Program for Psychosis (PEPP), Douglas Mental Health University Institute, Montreal, Canada.,ACCESS Open Minds, Douglas Mental Health University Institute, Montreal, Canada
| | - Alison Yung
- Orygen, 35 Poplar Rd (Locked Bag 10), Parkville, VIC, 3052, Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia.,School of Health Sciences, University of Manchester, Oxford Rd, Manchester, M13 9PL, UK
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11
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Rosen M, Haidl TK, Ruhrmann S, Vogeley K, Schultze-Lutter F. Sex differences in symptomatology of psychosis-risk patients and in prediction of psychosis. Arch Womens Ment Health 2020; 23:339-349. [PMID: 31485796 DOI: 10.1007/s00737-019-01000-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Accepted: 08/12/2019] [Indexed: 02/06/2023]
Abstract
Sex differences may be important for understanding underlying pathophysiological mechanisms and developing effective preventions and treatments of mental disorders. Despite sex differences in the onset of psychosis, patients at clinical high risk for psychosis (CHR) are underinvestigated for sex effects, especially with respect to models for prediction of conversion to psychosis. We studied psychopathological sex differences in referrals to a German early detection service and in its subgroup of converters and examined sex-specific psychopathological prediction models. In 152 male and 90 female referrals (88% at CHR; 35% converters), symptoms assessed with the Structured Interview for Psychosis-Risk Syndromes were investigated for sex differences using effect sizes. Sex-specific prediction models of psychosis were separately generated using Cox regressions with a LASSO operator. We found different small sex effects (0.10 < Rosenthal's r < 0.30) in the referral and in the converter sample. In the referral sample, exclusively, males showed more pronounced symptoms (all negative symptoms incl. reduced stress tolerance, grandiosity, and disorganized communication); in converters, females experienced more pronounced perceptual abnormalities, bizarre thinking, and odd behaviors, while males expressed and experienced emotions to a lower degree. Furthermore, sexes differed in psychosis-predictive symptoms: "suspiciousness" and "disorganized communication" were prominent in prediction of psychosis in males, whereas "trouble with focus and attention" was so in females. While most sex differences in patients attending an early detection service seem to reflect general differences that are not specifically related to psychosis, others might be psychosis-specific. These results can inform the development of more individualized and effective interventions for CHR patients based on more precise sex-specific prediction models.
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Affiliation(s)
- Marlene Rosen
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany.
| | - Theresa Katharina Haidl
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | - Stephan Ruhrmann
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | - Kai Vogeley
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University Düsseldorf, Bergische Landstraße 2, 40629, Düsseldorf, Germany
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12
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Gender differences of patients at-risk for psychosis regarding symptomatology, drug use, comorbidity and functioning – Results from the EU-GEI study. Eur Psychiatry 2020; 59:52-59. [DOI: 10.1016/j.eurpsy.2019.04.007] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 04/25/2019] [Accepted: 04/26/2019] [Indexed: 11/23/2022] Open
Abstract
AbstractBackground:Gender differences in symptomatology in chronic schizophrenia and first episode psychosis patients have often been reported. However, little is known about gender differences in those at risk of psychotic disorders. This study investigated gender differences in symptomatology, drug use, comorbidity (i.e. substance use, affective and anxiety disorders) and global functioning in patients with an at-risk mental state (ARMS) for psychosis.Methods:The sample consisted of 336 ARMS patients (159 women) from the prodromal work package of the EUropean network of national schizophrenia networks studying Gene-Environment Interactions (EU-GEI; 11 centers). Clinical symptoms, drug use, comorbidity and functioning were assessed at first presentation to an early detection center using structured interviews.Results:In unadjusted analyses, men were found to have significantly higher rates of negative symptoms and current cannabis use while women showed higher rates of general psychopathology and more often displayed comorbid affective and anxiety disorders. No gender differences were found for global functioning. The results generally did not change when corrected for possible cofounders (e.g. cannabis use). However, most differences did not withstand correction for multiple testing.Conclusions:Findings indicate that gender differences in symptomatology and comorbidity in ARMS are similar to those seen in overt psychosis and in healthy controls. However, observed differences are small and would only be reliably detected in studies with high statistical power. Moreover, such small effects would likely not be clinically meaningful.
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13
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McIlwaine SV, Jordan G, Pruessner M, Malla A, Faridi K, Iyer SN, Joober R, Shah JL. Does an integrated outreach intervention targeting multiple stages of early psychosis improve the identification of individuals at clinical high risk? Early Interv Psychiatry 2019; 13:989-992. [PMID: 30303260 DOI: 10.1111/eip.12750] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Revised: 08/14/2018] [Accepted: 09/09/2018] [Indexed: 11/28/2022]
Abstract
AIMS To explore the impact of a targeted case identification intervention, with training and education regarding first-episode psychosis and clinical high-risk syndromes, on the referral and identification of those at high risk. METHODS Using a historical control design, referral information from pre-intervention and post-intervention periods was collected via administrative data and clinician notes from a catchment-based early psychosis service. RESULTS A significant increase in the number of referrals sent to the service's clinical high-risk unit was observed following the intervention (P = 0.01). The proportion of referrals eligible was significantly higher post-intervention (P = 0.03), with the majority (26/44, 59.1%) referred via the first-episode psychosis service unit. CONCLUSIONS An integrated outreach intervention for both first-episode psychosis and the clinical high-risk state was effective in increasing referrals of eligible cases to the service's at-risk unit. Rather than being stage-specific, targeted case identification strategies and service integration should span across the early stages of psychosis.
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Affiliation(s)
- Sarah V McIlwaine
- Prevention and Early Intervention Program for Psychosis (PEPP-Montreal), Douglas Mental Health University Institute, Montreal, Quebec, Canada.,Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Gerald Jordan
- Prevention and Early Intervention Program for Psychosis (PEPP-Montreal), Douglas Mental Health University Institute, Montreal, Quebec, Canada.,Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Marita Pruessner
- Prevention and Early Intervention Program for Psychosis (PEPP-Montreal), Douglas Mental Health University Institute, Montreal, Quebec, Canada.,Department of Clinical Psychology, University of Konstanz, Constance, Germany
| | - Ashok Malla
- Prevention and Early Intervention Program for Psychosis (PEPP-Montreal), Douglas Mental Health University Institute, Montreal, Quebec, Canada.,Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Kia Faridi
- Prevention and Early Intervention Program for Psychosis (PEPP-Montreal), Douglas Mental Health University Institute, Montreal, Quebec, Canada.,Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Srividya N Iyer
- Prevention and Early Intervention Program for Psychosis (PEPP-Montreal), Douglas Mental Health University Institute, Montreal, Quebec, Canada.,Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Ridha Joober
- Prevention and Early Intervention Program for Psychosis (PEPP-Montreal), Douglas Mental Health University Institute, Montreal, Quebec, Canada.,Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Jai L Shah
- Prevention and Early Intervention Program for Psychosis (PEPP-Montreal), Douglas Mental Health University Institute, Montreal, Quebec, Canada.,Department of Psychiatry, McGill University, Montreal, Quebec, Canada
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14
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Heitz U, Studerus E, Menghini-Müller S, Papmeyer M, Egloff L, Ittig S, Navarra A, Andreou C, Riecher-Rössler A. Gender differences in first self-perceived signs and symptoms in patients with an at-risk mental state and first-episode psychosis. Early Interv Psychiatry 2019; 13:582-588. [PMID: 29235240 DOI: 10.1111/eip.12528] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Revised: 08/22/2017] [Accepted: 11/08/2017] [Indexed: 12/28/2022]
Abstract
AIM Gender differences in the current symptomatology of patients with psychotic disorders have previously been described in the literature. However, it has not yet been investigated whether gender differences exist in the very first self-perceived signs or symptoms of illness onset. The aim of this study was to investigate this aspect in at-risk mental state (ARMS) and first-episode psychosis (FEP) patients. METHODS ARMS and FEP were recruited via the early detection of psychosis (FePsy) clinic Basel, Switzerland. The Basel Interview for Psychosis (BIP) was used to retrospectively assess the first 3 self-perceived signs and symptoms at illness onset. Differences between gender and patient groups on single item and symptom cluster levels were analysed using logistic regression models. RESULTS One-hundred-thirty six ARMS (91 men, 45 women) and 89 FEP patients (63 men, 26 women) could be recruited for this study. On a single item level, women more frequently reported "unusual anxiety, fears" and men (at a trend level) "social withdrawal" as being among their 3 first self-perceived symptoms, independent of diagnostic group. On the symptom cluster level, women more frequently reported "increased worrying/anxiety" and (sub-threshold) "hallucinations", independent of diagnostic group. Problems with "thinking, concentration" were reported more frequently by men in the ARMS group only. CONCLUSION Our results suggest that only few and relatively small gender differences exist in the first self-perceived signs and symptoms. While men initially mainly notice negative/cognitive symptoms, women first notice (sub-threshold) positive and affective symptoms.
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Affiliation(s)
- Ulrike Heitz
- Center for Gender Research and Early Detection, University of Basel Psychiatric Hospital, Basel, Switzerland
| | - Erich Studerus
- Center for Gender Research and Early Detection, University of Basel Psychiatric Hospital, Basel, Switzerland
| | - Stephanie Menghini-Müller
- Center for Gender Research and Early Detection, University of Basel Psychiatric Hospital, Basel, Switzerland
| | - Martina Papmeyer
- Rehabilitation Services and Care Unit, Swiss Paraplegic Research, Guido A. Zäch Strasse 4, 6207 Nottwil, Switzerland
| | - Laura Egloff
- Center for Gender Research and Early Detection, University of Basel Psychiatric Hospital, Basel, Switzerland
| | - Sarah Ittig
- Center for Gender Research and Early Detection, University of Basel Psychiatric Hospital, Basel, Switzerland
| | - Astrid Navarra
- Center for Gender Research and Early Detection, University of Basel Psychiatric Hospital, Basel, Switzerland
| | - Christina Andreou
- Center for Gender Research and Early Detection, University of Basel Psychiatric Hospital, Basel, Switzerland
| | - Anita Riecher-Rössler
- Center for Gender Research and Early Detection, University of Basel Psychiatric Hospital, Basel, Switzerland
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15
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Malda A, Boonstra N, Barf H, de Jong S, Aleman A, Addington J, Pruessner M, Nieman D, de Haan L, Morrison A, Riecher-Rössler A, Studerus E, Ruhrmann S, Schultze-Lutter F, An SK, Koike S, Kasai K, Nelson B, McGorry P, Wood S, Lin A, Yung AY, Kotlicka-Antczak M, Armando M, Vicari S, Katsura M, Matsumoto K, Durston S, Ziermans T, Wunderink L, Ising H, van der Gaag M, Fusar-Poli P, Pijnenborg GHM. Individualized Prediction of Transition to Psychosis in 1,676 Individuals at Clinical High Risk: Development and Validation of a Multivariable Prediction Model Based on Individual Patient Data Meta-Analysis. Front Psychiatry 2019; 10:345. [PMID: 31178767 PMCID: PMC6537857 DOI: 10.3389/fpsyt.2019.00345] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Accepted: 05/01/2019] [Indexed: 12/26/2022] Open
Abstract
Background: The Clinical High Risk state for Psychosis (CHR-P) has become the cornerstone of modern preventive psychiatry. The next stage of clinical advancements rests on the ability to formulate a more accurate prognostic estimate at the individual subject level. Individual Participant Data Meta-Analyses (IPD-MA) are robust evidence synthesis methods that can also offer powerful approaches to the development and validation of personalized prognostic models. The aim of the study was to develop and validate an individualized, clinically based prognostic model for forecasting transition to psychosis from a CHR-P stage. Methods: A literature search was performed between January 30, 2016, and February 6, 2016, consulting PubMed, Psychinfo, Picarta, Embase, and ISI Web of Science, using search terms ("ultra high risk" OR "clinical high risk" OR "at risk mental state") AND [(conver* OR transition* OR onset OR emerg* OR develop*) AND psychosis] for both longitudinal and intervention CHR-P studies. Clinical knowledge was used to a priori select predictors: age, gender, CHR-P subgroup, the severity of attenuated positive psychotic symptoms, the severity of attenuated negative psychotic symptoms, and level of functioning at baseline. The model, thus, developed was validated with an extended form of internal validation. Results: Fifteen of the 43 studies identified agreed to share IPD, for a total sample size of 1,676. There was a high level of heterogeneity between the CHR-P studies with regard to inclusion criteria, type of assessment instruments, transition criteria, preventive treatment offered. The internally validated prognostic performance of the model was higher than chance but only moderate [Harrell's C-statistic 0.655, 95% confidence interval (CIs), 0.627-0.682]. Conclusion: This is the first IPD-MA conducted in the largest samples of CHR-P ever collected to date. An individualized prognostic model based on clinical predictors available in clinical routine was developed and internally validated, reaching only moderate prognostic performance. Although personalized risk prediction is of great value in the clinical practice, future developments are essential, including the refinement of the prognostic model and its external validation. However, because of the current high diagnostic, prognostic, and therapeutic heterogeneity of CHR-P studies, IPD-MAs in this population may have an limited intrinsic power to deliver robust prognostic models.
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Affiliation(s)
- Aaltsje Malda
- GGZ Friesland Mental Health Institute, Leeuwarden, Netherlands
- University of Groningen, Groningen, Netherlands
| | - Nynke Boonstra
- GGZ Friesland Mental Health Institute, Leeuwarden, Netherlands
- NHL Stenden University of Applied Sciences, Leeuwarden, Netherlands
| | - Hans Barf
- NHL Stenden University of Applied Sciences, Leeuwarden, Netherlands
| | | | - Andre Aleman
- University of Groningen, Groningen, Netherlands
- Cognitive Neuroscience Center, Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, Groningen, Netherlands
| | - Jean Addington
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Marita Pruessner
- Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
- Department of Psychology, University of Konstanz, Konstanz, Germany
| | - Dorien Nieman
- Amsterdam University Medical Centers, Location AMC, Department of Psychiatry, Amsterdam, Netherlands
| | - Lieuwe de Haan
- Amsterdam University Medical Centers, Location AMC, Department of Psychiatry, Amsterdam, Netherlands
| | - Anthony Morrison
- Division of Psychology and Mental Health, University of Manchester, Manchester, United Kingdom
- Psychosis Research Unit, Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom
| | | | - Erich Studerus
- University of Basel Psychiatric Hospital, Basel, Switzerland
| | - Stephan Ruhrmann
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Suk Kyoon An
- Department of Psychiatry, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Shinsuke Koike
- University of Tokyo Institute for Diversity and Adaptation of Human Mind (UTIDAHM), Tokyo, Japan
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Tokyo Center for Integrative Science of Human Behaviour (CiSHuB), The University of Tokyo, Tokyo, Japan
- The International Research Center for Neurointelligence (WPI-IRCN) at The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, Japan
| | - Kiyoto Kasai
- University of Tokyo Institute for Diversity and Adaptation of Human Mind (UTIDAHM), Tokyo, Japan
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Tokyo Center for Integrative Science of Human Behaviour (CiSHuB), The University of Tokyo, Tokyo, Japan
- The International Research Center for Neurointelligence (WPI-IRCN) at The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, Japan
| | - Barnaby Nelson
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Patrick McGorry
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Stephen Wood
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
- School of Psychology, University of Birmingham, Birmingham, United Kingdom
| | - Ashleigh Lin
- Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia
| | - Alison Y. Yung
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, United Kingdom
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | | | - Marco Armando
- Child and Adolescence Neuropsychiatry Unit, Department of Neuroscience, Children Hospital Bambino Gesù, Rome, Italy
- Office Médico-Pédagogique Research Unit, Department of Psychiatry, University of Geneva, School of Medicine, Geneva, Switzerland
| | - Stefano Vicari
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Masahiro Katsura
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Kazunori Matsumoto
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Preventive Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Sarah Durston
- NICHE Lab, Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center, Utrecht, Netherlands
| | - Tim Ziermans
- Amsterdam University Medical Centers, Location AMC, Department of Psychiatry, Amsterdam, Netherlands
- Department of Psychology, University of Amsterdam, Amsterdam, Netherlands
| | - Lex Wunderink
- GGZ Friesland Mental Health Institute, Leeuwarden, Netherlands
- University Medical Center Groningen, Groningen, Netherlands
| | - Helga Ising
- Department of Clinical Psychology, VU University, Amsterdam, Netherlands
| | - Mark van der Gaag
- Department of Clinical Psychology, VU University, Amsterdam, Netherlands
- Parnassia Psychiatric Institute, Department of Psychosis Research, Den Haag, Netherlands
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- OASIS Service, South London and Maudsley NHS Foundation Trust, London, United Kingdom
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- National Institute for Health Research, Biomedical Research Centre for Mental Health, South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Gerdina Hendrika Maria Pijnenborg
- University of Groningen, Groningen, Netherlands
- GGZ Drenthe Mental Health Care Center, Department of Psychotic Disorders, Assen, Netherlands
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16
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Daneault JG, Maraj A, Lepage M, Malla A, Schmitz N, Iyer SN, Joober R, Shah JL. Medication adherence in first episode psychosis: the role of pre-onset subthreshold symptoms. Acta Psychiatr Scand 2019; 139:336-347. [PMID: 30712261 PMCID: PMC6426680 DOI: 10.1111/acps.13011] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/29/2019] [Indexed: 12/24/2022]
Abstract
OBJECTIVE The experience of pre-onset subthreshold psychotic symptoms (STPS, signifying a clinical high-risk state) in first episode psychosis (FEP) predicts poorer outcomes during treatment, possibly through differential adherence to medication. We explored whether adherence differs between FEP patients with and without pre-onset STPS. METHODS Antipsychotic medication adherence was compared in 263 STPS+ and 158 STPS- subjects in a specialized early intervention program for FEP. Data were gathered from a larger observational study conducted between 2003 and 2016. STPS status, sociodemographic, and baseline clinical variables were tested as predictors of non-adherence using univariate and multivariate logistic regressions. Time to onset of non-adherence was analyzed using Kaplan-Meier curves. The same predictors were tested as predictors of time to onset of non-adherence using Cox regression models. RESULTS Medication non-adherence was higher in STPS+ participants (78.9% vs. 68.9%). STPS status (OR 1.709), substance use disorder (OR 1.767), and milder positive symptoms (OR 0.972) were significant baseline predictors of non-adherence. Substance use disorder (HR 1.410), milder positive symptoms (HR 0.990), and lack of contact between the clinical team and relatives (HR 1.356) were significant baseline predictors of time to non-adherence. CONCLUSION FEP patients who experience pre-onset STPS are more likely to be non-adherent to antipsychotic medication over 2 years of intervention. FEP programs should routinely evaluate pre-onset symptomatology to deliver more personalized treatments, with emphasis on engaging both patients and family members from the beginning of care.
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Affiliation(s)
- Jean-Gabriel Daneault
- Prevention and Early Intervention Program for Psychoses (PEPP-Montreal), Douglas Mental Health University Institute, Montreal, Quebec, Canada,Clinique J.-P. Mottard, Hôpital en santé mentale Albert-Prévost, Département de psychiatrie, Université de Montréal, Montreal, Quebec, Canada
| | - Anika Maraj
- Prevention and Early Intervention Program for Psychoses (PEPP-Montreal), Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - Martin Lepage
- Prevention and Early Intervention Program for Psychoses (PEPP-Montreal), Douglas Mental Health University Institute, Montreal, Quebec, Canada,Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada,Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Ashok Malla
- Prevention and Early Intervention Program for Psychoses (PEPP-Montreal), Douglas Mental Health University Institute, Montreal, Quebec, Canada,Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Norbert Schmitz
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Srividya N. Iyer
- Prevention and Early Intervention Program for Psychoses (PEPP-Montreal), Douglas Mental Health University Institute, Montreal, Quebec, Canada,Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Ridha Joober
- Prevention and Early Intervention Program for Psychoses (PEPP-Montreal), Douglas Mental Health University Institute, Montreal, Quebec, Canada,Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Jai L. Shah
- Prevention and Early Intervention Program for Psychoses (PEPP-Montreal), Douglas Mental Health University Institute, Montreal, Quebec, Canada,Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada,Department of Psychiatry, McGill University, Montreal, Quebec, Canada
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17
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Riecher-Rössler A, Butler S, Kulkarni J. Sex and gender differences in schizophrenic psychoses-a critical review. Arch Womens Ment Health 2018; 21:627-648. [PMID: 29766281 DOI: 10.1007/s00737-018-0847-9] [Citation(s) in RCA: 125] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Many sex and gender differences in schizophrenic psychoses have been reported, but few have been soundly replicated. A stable finding is the later age of onset in women compared to men. Gender differences in symptomatology, comorbidity, and neurocognition seem to reflect findings in the general population. There is increasing evidence for estrogens being psychoprotective in women and for hypothalamic-pituitary-gonadal dysfunction in both sexes.More methodologically sound, longitudinal, multi-domain, interdisciplinary research investigating both sex (biological) and gender (psychosocial) factors is required to better understand the different pathogenesis and etiologies of schizophrenic psychoses in women and men, thereby leading to better tailored treatments and improved outcomes.
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Affiliation(s)
- Anita Riecher-Rössler
- Center of Gender Research and Early Detection, University of Basel Psychiatric Hospital, Basel, Switzerland.
| | - Surina Butler
- Faculty of Medicine, Nursing & Health Sciences, Monash University, Melbourne, Australia
| | - Jayashri Kulkarni
- Monash Alfred Psychiatry Research Centre (MAPrc), Melbourne, VIC, 3004, Australia
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18
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MacDonald K, Malla A, Joober R, Shah JL, Goldberg K, Abadi S, Doyle M, Iyer SN. Description, evaluation and scale-up potential of a model for rapid access to early intervention for psychosis. Early Interv Psychiatry 2018; 12:1222-1228. [PMID: 29582562 DOI: 10.1111/eip.12564] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Revised: 10/22/2017] [Accepted: 02/04/2018] [Indexed: 11/29/2022]
Abstract
AIM This paper aims to describe the entry protocol of the Prevention and Early Intervention for Psychosis Program (PEPP)-Montreal, an early intervention program for psychosis. The protocol is designed to fulfil a key objective of the early intervention movement-reducing delays to accessing high-quality care. The paper also aims to describe how this rapid entry protocol can be deployed in other services interested in reducing delays in initiating treatment. METHODS PEPP provides rapid, easy access to quality care by placing a single, well-trained professional, the intake clinician, at the point of entry. Anyone can refer a youth directly and without formalities to the intake clinician who responds promptly and sensitively to all help-seeking, whether by a youth, a family member, a school counsellor or anyone acting on behalf of a youth in need. To promote accessibility, PEPP guarantees an initial assessment within 72 hours; maintains relationships with referral sources; and conducts awareness-enhancing outreach activities. RESULTS Since 2003, PEPP has received 1750 referrals, which have all been responded to within 72 hours. Families have been involved in the intake process in 60% of the cases and hospitalization may have been averted in over half of the referrals originating from emergency-room services. Another indicator of success is the very low turnover in the intake clinician's position. Overall, the PEPP model has succeeded in providing rapid, engaging, easy and youth-friendly access to high-quality care. CONCLUSION The success of this protocol at PEPP has inspired the entry protocols at other first-episode psychosis services. Its ability to provide rapid, engaging access to high-quality services may allow this protocol to become a model for other early intervention services for psychosis and other mental illnesses.
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Affiliation(s)
- Kathleen MacDonald
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada.,Prevention and Early Intervention Program for Psychosis (PEPP), Douglas Mental Health University Institute, Montreal, Quebec, Canada.,ACCESS Open Minds (Pan-Canadian youth mental health services research network), Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - Ashok Malla
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada.,Prevention and Early Intervention Program for Psychosis (PEPP), Douglas Mental Health University Institute, Montreal, Quebec, Canada.,ACCESS Open Minds (Pan-Canadian youth mental health services research network), Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - Ridha Joober
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada.,Prevention and Early Intervention Program for Psychosis (PEPP), Douglas Mental Health University Institute, Montreal, Quebec, Canada.,ACCESS Open Minds (Pan-Canadian youth mental health services research network), Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - Jai L Shah
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada.,Prevention and Early Intervention Program for Psychosis (PEPP), Douglas Mental Health University Institute, Montreal, Quebec, Canada.,ACCESS Open Minds (Pan-Canadian youth mental health services research network), Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - Karen Goldberg
- Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - Sherezad Abadi
- Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | | | - Srividya N Iyer
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada.,Prevention and Early Intervention Program for Psychosis (PEPP), Douglas Mental Health University Institute, Montreal, Quebec, Canada.,ACCESS Open Minds (Pan-Canadian youth mental health services research network), Douglas Mental Health University Institute, Montreal, Quebec, Canada
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Pruessner M, Cullen AE, Aas M, Walker EF. The neural diathesis-stress model of schizophrenia revisited: An update on recent findings considering illness stage and neurobiological and methodological complexities. Neurosci Biobehav Rev 2017; 73:191-218. [DOI: 10.1016/j.neubiorev.2016.12.013] [Citation(s) in RCA: 131] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2016] [Revised: 12/09/2016] [Accepted: 12/12/2016] [Indexed: 01/29/2023]
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Guma E, Devenyi GA, Malla A, Shah J, Chakravarty MM, Pruessner M. Neuroanatomical and Symptomatic Sex Differences in Individuals at Clinical High Risk for Psychosis. Front Psychiatry 2017; 8:291. [PMID: 29312018 PMCID: PMC5744013 DOI: 10.3389/fpsyt.2017.00291] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2017] [Accepted: 12/06/2017] [Indexed: 01/18/2023] Open
Abstract
Sex differences have been widely observed in clinical presentation, functional outcome and neuroanatomy in individuals with a first-episode of psychosis, and chronic patients suffering from schizophrenia. However, little is known about sex differences in the high-risk stages for psychosis. The present study investigated sex differences in cortical and subcortical neuroanatomy in individuals at clinical high risk (CHR) for psychosis and healthy controls (CTL), and the relationship between anatomy and clinical symptoms in males at CHR. Magnetic resonance images were collected in 26 individuals at CHR (13 men) and 29 CTLs (15 men) to determine total and regional brain volumes and morphology, cortical thickness, and surface area (SA). Clinical symptoms were assessed with the brief psychiatric rating scale. Significant sex-by-diagnosis interactions were observed with opposite directions of effect in male and female CHR subjects relative to their same-sex controls in multiple cortical and subcortical areas. The right postcentral, left superior parietal, inferior parietal supramarginal, and angular gyri [<5% false discovery rate (FDR)] were thicker in male and thinner in female CHR subjects compared with their same-sex CTLs. The same pattern was observed in the right superior parietal gyrus SA at the regional and vertex level. Using a recently developed surface-based morphology pipeline, we observed sex-specific shape differences in the left hippocampus (<5% FDR) and amygdala (<10% FDR). Negative symptom burden was significantly higher in male compared with female CHR subjects (p = 0.04) and was positively associated with areal expansion of the left amygdala in males (<5% FDR). Some limitations of the study include the sample size, and data acquisition at 1.5 T. This study demonstrates neuroanatomical sex differences in CHR subjects, which may be associated with variations in symptomatology in men and women with psychotic symptoms.
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Affiliation(s)
- Elisa Guma
- Integrated Program in Neuroscience, Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Verdun, QC, Canada
| | - Gabriel A Devenyi
- Department of Psychiatry, Cerebral Imaging Center, Douglas Mental Health University Institute, McGill University, Verdun, QC, Canada
| | - Ashok Malla
- Prevention and Early Intervention Program for Psychosis, Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Verdun, QC, Canada
| | - Jai Shah
- Prevention and Early Intervention Program for Psychosis, Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Verdun, QC, Canada
| | - M Mallar Chakravarty
- Integrated Program in Neuroscience, Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Verdun, QC, Canada.,Department of Biological and Biomedical Engineering, Douglas Mental Health University Institute, McGill University, Verdun, QC, Canada
| | - Marita Pruessner
- Prevention and Early Intervention Program for Psychosis, Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Verdun, QC, Canada.,Department of Psychology, University of Konstanz, Konstanz, Germany
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