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Fernández I, Vallina-Fernández Ó, Alonso-Bada S, Rus-Calafell M, Paino M. Emotional regulation as a mediating variable between risk of psychosis and common mental health problems in adolescents. J Psychiatr Res 2025; 181:273-281. [PMID: 39637718 DOI: 10.1016/j.jpsychires.2024.11.058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 07/04/2024] [Accepted: 11/22/2024] [Indexed: 12/07/2024]
Abstract
BACKGROUND The main clinical high-risk of psychosis (CHRp) approaches are focused on core features of schizophrenia that might surface in the prodromal phases, mainly psychotic-like experiences (PLEs) (e.g., prodromal or schizotypal symptoms) or associated phenomena like basic symptoms or anomalous experiences of the self. Given that PLEs vary depending on distress levels, related common mental health problems, emotional regulation (ER) strategies and eventual clinical outcomes, exploring the heterogeneous nature of these PLEs and their psychological correlates could aid in distinguishing between subclinical and clinical psychotic experiences. The present study aims firstly to generate new evidence on the understanding of clinical relevance of PLEs and associated phenomena in a non-clinical representative sample of 1824 Spanish adolescents, according to their CHRp level (high/moderate/low). Secondly, we analyzed the possible mediating effect of three different emotional regulation strategies ((experiential avoidance (EA), cognitive reappraisal (CR) and emotional suppression (ES)) between PLEs and non-specific symptoms of depression, anxiety, stress, trauma related distress and substance use. Results showed that a more frequent use of EA and ES resulted in a higher CHRp, with no differences in the use of CR. In addition, EA emerged as a significant mediating factor between CHRp and the development of emotional symptoms and substance use. Emotion regulation strategy may account for heterogeneity in PLE outcomes. The use of EA as a coping strategy for their PLEs in adolescents with CHRp may facilitate the development of common mental health problems such as anxiety, depression or cannabis use pathologies. Helping adolescents at CHRp to use non-avoidant coping strategies may be indicated if their preventive effects are demonstrated.
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Affiliation(s)
- Inma Fernández
- Departamento de Psicología, Universidad de Oviedo, Spain.
| | | | - Sandra Alonso-Bada
- Sierrallana Hospital, Cantabria Health Service, Torrelavega, Cantabria, Spain.
| | - Mar Rus-Calafell
- Mental Health Research and Treatment Center, Faculty of Psychology, Ruhr-Universität Bochum, Bochum, Germany.
| | - Mercedes Paino
- Departamento de Psicología, Universidad de Oviedo, Spain.
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Hamdan-Dumont M, Lecardeur L, Habert M, Couturas J, Okassa M, Lacroix A, Calvet B. Cognitive complaint inversely associated to UHR transition. Schizophr Res Cogn 2024; 38:100319. [PMID: 39022601 PMCID: PMC11253140 DOI: 10.1016/j.scog.2024.100319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 06/14/2024] [Accepted: 06/16/2024] [Indexed: 07/20/2024]
Abstract
The aim of this study was to identify the impact of staging on a six-months transition in Ultra-High Risk (UHR) youth. Subjects were enrolled at assessment; evolution was monitored for six months. Clinical determinants (unusual thought content, perceptual abnormalities, cognitive complaint, etc.) were collected. 37 non-psychotic and 39 UHR subjects were included. 13 UHR (35.2 %) experienced psychotic transition, while none of non-psychotic subjects did log-rank p < 0.001. Self-reported cognitive complaint was inversely associated to transition OR 0.13 95 % IC [0.03-0.64]. Unusual Thought Content was associated to psychotic transition 0R 8.57 95 % IC [1.17-63]. Self-reported cognitive complaint could be a protective transition marker in UHR.
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Affiliation(s)
- Mirvat Hamdan-Dumont
- Centre Hospitalier Esquirol, Early Intervention Unit, Limoges 87000, France
- Centre Hospitalier Esquirol, Unité de Recherche et d'Innovation, Limoges 87000, France
- Inserm UMR1094, IRD U270, Univ. Limoges, CHU Limoges, EpiMaCT- Epidemiology of chronic diseases in tropical zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges 87000, France
| | | | - Marine Habert
- Centre Hospitalier Esquirol, Early Intervention Unit, Limoges 87000, France
| | - Jérémy Couturas
- Centre Hospitalier Esquirol, Early Intervention Unit, Limoges 87000, France
- Centre Hospitalier Esquirol, Unité de Recherche et d'Innovation, Limoges 87000, France
- Inserm UMR1094, IRD U270, Univ. Limoges, CHU Limoges, EpiMaCT- Epidemiology of chronic diseases in tropical zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges 87000, France
| | - Mireille Okassa
- Centre Hospitalier Esquirol, Unité de Recherche et d'Innovation, Limoges 87000, France
| | - Aurélie Lacroix
- Centre Hospitalier Esquirol, Unité de Recherche et d'Innovation, Limoges 87000, France
- Inserm UMR1094, IRD U270, Univ. Limoges, CHU Limoges, EpiMaCT- Epidemiology of chronic diseases in tropical zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges 87000, France
| | - Benjamin Calvet
- Centre Hospitalier Esquirol, Unité de Recherche et d'Innovation, Limoges 87000, France
- Inserm UMR1094, IRD U270, Univ. Limoges, CHU Limoges, EpiMaCT- Epidemiology of chronic diseases in tropical zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges 87000, France
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Haining K, Gajwani R, Gross J, Gumley AI, Lawrie SM, Schultze-Lutter F, Schwannauer M, Uhlhaas PJ. Clinical and Functional Outcomes of Community-Recruited Individuals at Clinical High-Risk for Psychosis: Results From the Youth Mental Health Risk and Resilience Study (YouR-Study). SCHIZOPHRENIA BULLETIN OPEN 2024; 5:sgae029. [PMID: 39610874 PMCID: PMC11604080 DOI: 10.1093/schizbullopen/sgae029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/30/2024]
Abstract
Clinical high-risk for psychosis (CHR-P) individuals are typically recruited from clinical services but the clinical and functional outcomes of community-recruited CHR-P individuals remain largely unclear. The Youth Mental Health Risk and Resilience Study (YouR-Study) obtained a community sample of CHR-P individuals through an online-screening approach and followed-up these individuals for a period of up to 3 years to determine transition rates, persistence of attenuated psychotic symptoms (APS) and functional outcomes. Baseline data were obtained from n = 144 CHR-P participants, n = 51 participants who met online cutoff criteria but not CHR-P criteria (CHR-Ns), and n = 58 healthy controls. Baseline assessments included clinical measures for assessing CHR-P status, including the Comprehensive Assessment of At-Risk Mental States (CAARMS) and the Schizophrenia Proneness Instrument, Adult version (SPI-A), as well as functioning and cognitive measures. CHR-P and CHR-N groups were followed-up. Results show that 12.1% of CHR-P individuals transitioned to psychosis over 3 years, with no transitions in the CHR-N group. Nearly 60% of CHR-P individuals experienced poor functional outcome (PFO) and over 40% experienced persistent APS. A combination of CAARMS/SPI-A criteria was associated with a higher likelihood of PFO, but not with transition to psychosis nor APS persistence. However, transition risk was generally higher among those meeting both CAARMS/SPI-A criteria (64.3%) vs CAARMS (28.6%) or SPI-A (7.1%) alone. In summary, community-recruited CHR-P individuals are characterized by similar clinical characteristics and longitudinal outcomes to those recruited from clinical services, emphasizing the need to widen the scope of early detection and intervention strategies.
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Affiliation(s)
- Kate Haining
- School of Psychology and Neuroscience, University of Glasgow, Glasgow, UK
| | - Ruchika Gajwani
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Joachim Gross
- School of Psychology and Neuroscience, University of Glasgow, Glasgow, UK
- Institute for Biomagnetism and Biosignalanalysis, University of Münster, Münster, Germany
| | - Andrew I Gumley
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Stephen M Lawrie
- Department of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University, Düsseldorf, Germany
- Department of Psychology, Faculty of Psychology, Airlangga University, Surabaya, Indonesia
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | | | - Peter J Uhlhaas
- School of Psychology and Neuroscience, University of Glasgow, Glasgow, UK
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
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Martin JC, Clark SR, Hartmann S, Schubert KO. A Tale of Three Spectra: Basic Symptoms in Clinical-High-Risk of Psychosis Vary Across Autism Spectrum Disorder, Schizotypal Personality Disorder, and Borderline Personality Disorder. SCHIZOPHRENIA BULLETIN OPEN 2024; 5:sgae017. [PMID: 39183768 PMCID: PMC11341945 DOI: 10.1093/schizbullopen/sgae017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/27/2024]
Abstract
Background and Hypothesis The clinical-high-risk (CHR) approach was developed to prevent psychosis through the detection of psychosis risk. CHR services are transdiagnostic in nature, therefore the appropriate management of comorbidity is a central part of care. Differential diagnosis is particularly challenging across 3 common comorbidities, schizotypal personality disorder (SPD), autism spectrum disorder (ASD), and borderline personality disorder (BPD). Phenomenological research indicates a disturbance of "basic self" may differentiate between these commonly comorbid disorders and can be captured by Huber's basic symptoms (BS) concept. We investigated whether BS vary across these disorders and may inform differential diagnosis in young person's meeting CHR criteria. Study Design A total of 685 participants meeting CHR criteria from the NAPLS-3 cohort completed the COGDIS items of the schizophrenia proneness instrument, a measure of BS, as well as the structured interview for DSM-5 (SCID-5). A logistic regression model was used to investigate the variation of COGDIS across SPD, ASD, and BPD, while controlling for age and SIPs positive severity. Study Results Meeting COGDIS criteria was positively associated with SPD (OR = 1.72, CI = [1.31-2.28], P = .001) but not ASD nor BPD. Conclusions Our results indicate that "basic self-disturbance" as indicated by COGDIS differs across SPD, ASD, and BPD. COGDIS may be useful to inform the management of comorbidities in CHR services, by providing insight into subtle subjective experiences that may benefit from disorder-specific interventions.
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Affiliation(s)
- James C Martin
- Discipline of Psychiatry, Adelaide Medical School, The University of Adelaide, North Terrace, Adelaide, South Australia, Australia
| | - Scott R Clark
- Discipline of Psychiatry, Adelaide Medical School, The University of Adelaide, North Terrace, Adelaide, South Australia, Australia
- Discipline of Psychiatry, Basil Hetzel Institute, Woodville, South Australia, Australia
| | - Simon Hartmann
- Discipline of Psychiatry, Adelaide Medical School, The University of Adelaide, North Terrace, Adelaide, South Australia, Australia
| | - K Oliver Schubert
- Discipline of Psychiatry, Adelaide Medical School, The University of Adelaide, North Terrace, Adelaide, South Australia, Australia
- Division of Mental Health, Northern Adelaide Local Health Network, SA Health, South Australia
- Headspace Early Psychosis, Sonder, South Australia
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Smigielski L, Stämpfli P, Wotruba D, Buechler R, Sommer S, Gerstenberg M, Theodoridou A, Walitza S, Rössler W, Heekeren K. White matter microstructure and the clinical risk for psychosis: A diffusion tensor imaging study of individuals with basic symptoms and at ultra-high risk. Neuroimage Clin 2022; 35:103067. [PMID: 35679786 PMCID: PMC9178487 DOI: 10.1016/j.nicl.2022.103067] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 05/19/2022] [Accepted: 05/28/2022] [Indexed: 12/29/2022]
Abstract
This DTI cross-sectional study compared UHR, basic symptom & control groups (n = 112). The splenium of UHR individuals exhibited differences in fractional anisotropy (FA). Basic symptoms alone were not associated with white matter microstructure changes. Large differences in FA & radial diffusivity were found in converters to psychosis. Regional FA was inversely correlated with the general psychopathology domain.
Background Widespread white matter abnormalities are a frequent finding in chronic schizophrenia patients. More inconsistent results have been provided by the sparser literature on at-risk states for psychosis, i.e., emerging subclinical symptoms. However, considering risk as a homogenous construct, an approach of earlier studies, may impede our understanding of neuro-progression into psychosis. Methods An analysis was conducted of 3-Tesla MRI diffusion and symptom data from 112 individuals (mean age, 21.97 ± 4.19) within two at-risk paradigm subtypes, only basic symptoms (n = 43) and ultra-high risk (n = 37), and controls (n = 32). Between-group comparisons (involving three study groups and further split based on the subsequent transition to schizophrenia) of four diffusion-tensor-imaging-derived scalars were performed using voxelwise tract-based spatial statistics, followed by correlational analyses with Structured Interview for Prodromal Syndromes responses. Results Relative to controls, fractional anisotropy was lower in the splenium of the corpus callosum of ultra-high-risk individuals, but only before stringent multiple-testing correction, and negatively correlated with General Symptom severity among at-risk individuals. At-risk participants who transitioned to schizophrenia within 3 years, compared to those that did not transition, had more severe WM differences in fractional anisotropy and radial diffusivity (particularly in the corpus callosum, anterior corona radiata, and motor/sensory tracts), which were even more extensive compared to healthy controls. Conclusions These findings align with the subclinical symptom presentation and more extensive disruptions in converters, suggestive of severity-related demyelination or axonal pathology. Fine-grained but detectable differences among ultra-high-risk subjects (i.e., with brief limited intermittent and/or attenuated psychotic symptoms) point to the splenium as a discrete site of emerging psychopathology, while basic symptoms alone were not associated with altered fractional anisotropy.
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Affiliation(s)
- Lukasz Smigielski
- The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland; Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland.
| | - Philipp Stämpfli
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland; MR-Center of the Psychiatric Hospital and the Department of Child and Adolescent Psychiatry, University of Zurich, Zurich, Switzerland
| | - Diana Wotruba
- The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Roman Buechler
- The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland; Department of Neuroradiology, University Hospital of Zurich, Zurich, Switzerland
| | - Stefan Sommer
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland; MR-Center of the Psychiatric Hospital and the Department of Child and Adolescent Psychiatry, University of Zurich, Zurich, Switzerland
| | - Miriam Gerstenberg
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Anastasia Theodoridou
- The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland; Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Susanne Walitza
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland; Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
| | - Wulf Rössler
- The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland; Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin, Campus Charité Mitte, Berlin, Germany; Laboratory of Neuroscience (LIM 27), Institute of Psychiatry, Universidade de São Paulo, São Paulo, Brazil
| | - Karsten Heekeren
- The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland; Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland; Department of Psychiatry and Psychotherapy I, LVR-Hospital, Cologne, Germany
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Formica MJC, Phillips LJ, Hartmann JA, Yung AR, Wood SJ, Lin A, Amminger GP, McGorry PD, Nelson B. Has improved treatment contributed to the declining rate of transition to psychosis in ultra-high-risk cohorts? Schizophr Res 2022; 243:276-284. [PMID: 32402606 DOI: 10.1016/j.schres.2020.04.028] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Revised: 03/11/2020] [Accepted: 04/19/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND The factors contributing to declining psychotic disorder transition rates in ultra-high-risk populations remain unclear. We examined the contribution of longitudinal changes in standard clinical treatment ('treatment as usual') to this decline. METHOD An audit was conducted on 105 clinical files of patients who received standard care at a specialised ultra-high-risk service. The session notes of these files were quantified, allowing examination of treatment quantity, targets, psychotherapy, and medication. Differences in these aspects across patients' year of clinic entry were assessed. Variables with significant differences across years were examined using cox regression to assess their contribution to psychosis transition rates. RESULTS Findings were that, as a function of patients' year of clinic entry, there were increases in: patients' number of sessions, cognitive behavioural therapy (CBT), problem and solving therapy. There was a relationship between baseline year cohort and psychosis transition rate, with lower rates observed in more recent cohorts. When changes in treatment between cohorts were adjusted for, the relationship between baseline year cohort and transition rate disappeared. The relationship between baseline year and transition rate was attenuated most by increases in CBT. CONCLUSION Changes in standard treatment, particularly increases in CBT, may have contributed to the decline in psychosis risk observed in recent ultra-high-risk cohorts, although these variables do not fully explain this trend. Implications for clinical practice, prediction and intervention research are discussed. Future ultra-high-risk research should investigate the impact of other treatment factors, such as therapeutic alliance.
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Affiliation(s)
- M J C Formica
- Orygen, The National Centre of Excellence in Youth Mental Health, University of Melbourne, Australia; Centre for Youth Mental Health, The University of Melbourne, Australia.
| | - L J Phillips
- Melbourne School of Psychological Sciences, The University of Melbourne, Australia
| | - J A Hartmann
- Orygen, The National Centre of Excellence in Youth Mental Health, University of Melbourne, Australia; Centre for Youth Mental Health, The University of Melbourne, Australia
| | - A R Yung
- Orygen, The National Centre of Excellence in Youth Mental Health, University of Melbourne, Australia; Centre for Youth Mental Health, The University of Melbourne, Australia
| | - S J Wood
- Orygen, The National Centre of Excellence in Youth Mental Health, University of Melbourne, Australia; Centre for Youth Mental Health, The University of Melbourne, Australia; School of Psychology, University of Birmingham, United Kingdom
| | - A Lin
- Telethon Kids Institute, The University of Western Australia, Australia
| | - G P Amminger
- Orygen, The National Centre of Excellence in Youth Mental Health, University of Melbourne, Australia; Centre for Youth Mental Health, The University of Melbourne, Australia
| | - P D McGorry
- Orygen, The National Centre of Excellence in Youth Mental Health, University of Melbourne, Australia; Centre for Youth Mental Health, The University of Melbourne, Australia
| | - B Nelson
- Orygen, The National Centre of Excellence in Youth Mental Health, University of Melbourne, Australia; Centre for Youth Mental Health, The University of Melbourne, Australia
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Salvatore P, Baldessarini RJ, Khalsa HK, Tohen M. Prodromal features in first-psychotic episodes of major affective and schizoaffective disorders. J Affect Disord 2021; 295:1251-1258. [PMID: 34706439 DOI: 10.1016/j.jad.2021.08.099] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 07/27/2021] [Accepted: 08/28/2021] [Indexed: 11/19/2022]
Abstract
BACKGROUND Study aims were to analyze psychopathological details of prodromes leading to first-lifetime psychotic episodes and apply them to improve prediction of final diagnoses. METHODS Comprehensive records of subjects with final diagnoses of bipolar I (BD-I; n = 216), schizoaffective (SzAffD; n = 71), or psychotic major-depressive (MDD; n = 42) disorders in the Harvard-McLean First-Psychotic Episode Project were analyzed to identify psychopathological details of prodromes leading to first-lifetime episodes with psychotic features and their ability to predict final diagnoses tested with multivariable logistic regression modeling. RESULTS While held blind to final diagnoses, we identified 84 distinct psychopathological characteristics of prodromes to first-psychotic episodes, including perceptual disturbances, affective symptoms, sleep disturbances, onset rate, and duration. Prevalence of 19 factors appeared to differ among final diagnoses, and were tested with multivariable regression modeling. Significantly and independently more associated with final diagnoses of MDD than BD-I were 7 features: suicidal ideation, somatic delusions, anorexia, lack of insomnia, older presenting age, depressive symptoms, and lack of impulsivity; 9 others were associated more with later SzAffD than MDD or BD-I: lack of insomnia, homicidal behavior, lack of excitement, visual hallucinations, command hallucinations, longer prodrome, male sex, responding to internal stimuli, and younger age at presentation. LIMITATIONS Historical-retrospective and prospective assessments may have misidentified some prodromal features, and subjects with final psychotic-MDD diagnosis were relatively few. CONCLUSIONS Psychopathological features identified during prodromes leading to first-episodes with psychotic features predicted and distinguished among final diagnoses of MDD, BD-I, and SzAffD. The findings add to growing impressions that early psychopathology has value in predicting final diagnoses of major affective and schizoaffective disorders.
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Affiliation(s)
- Paola Salvatore
- International Consortium for Mood & Psychotic Disorders, McLean Hospital, Belmont, MA, United States; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, United States; Section of Psychiatry, Department of Medicine & Surgery, University of Parma, Italy.
| | - Ross J Baldessarini
- International Consortium for Mood & Psychotic Disorders, McLean Hospital, Belmont, MA, United States; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, United States
| | - Harimandir K Khalsa
- International Consortium for Mood & Psychotic Disorders, McLean Hospital, Belmont, MA, United States
| | - Mauricio Tohen
- International Consortium for Mood & Psychotic Disorders, McLean Hospital, Belmont, MA, United States; Department of Psychiatry & Behavioral Sciences, University of New Mexico, Albuquerque, New Mexico, United States
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Salazar de Pablo G, Radua J, Pereira J, Bonoldi I, Arienti V, Besana F, Soardo L, Cabras A, Fortea L, Catalan A, Vaquerizo-Serrano J, Coronelli F, Kaur S, Da Silva J, Shin JI, Solmi M, Brondino N, Politi P, McGuire P, Fusar-Poli P. Probability of Transition to Psychosis in Individuals at Clinical High Risk: An Updated Meta-analysis. JAMA Psychiatry 2021; 78:970-978. [PMID: 34259821 PMCID: PMC8281006 DOI: 10.1001/jamapsychiatry.2021.0830] [Citation(s) in RCA: 203] [Impact Index Per Article: 50.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
IMPORTANCE Estimating the current likelihood of transitioning from a clinical high risk for psychosis (CHR-P) to psychosis holds paramount importance for preventive care and applied research. OBJECTIVE To quantitatively examine the consistency and magnitude of transition risk to psychosis in individuals at CHR-P. DATA SOURCES PubMed and Web of Science databases until November 1, 2020. Manual search of references from previous articles. STUDY SELECTION Longitudinal studies reporting transition risks in individuals at CHR-P. DATA EXTRACTION AND SYNTHESIS Meta-analysis compliant with Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) and Meta-analysis of Observational Studies in Epidemiology (MOOSE) reporting guidelines; independent data extraction, manually and through digitalization of Kaplan-Meier curves. MAIN OUTCOME AND MEASURES Primary effect size was cumulative risk of transition to psychosis at 0.5, 1, 1.5, 2, 2.5, 3, 4, and more than 4 years' follow-up, estimated using the numbers of individuals at CHR-P transitioning to psychosis at each time point. These analyses were complemented by meta-analytical Kaplan-Meier curves and speed of transition to psychosis (hazard rate). Random-effects meta-analysis, between-study heterogeneity analysis, study quality assessment, and meta-regressions were conducted. RESULTS A total of 130 studies and 9222 individuals at CHR-P were included. The mean (SD) age was 20.3 (4.4) years, and 5100 individuals (55.3%) were male. The cumulative transition risk was 0.09 (95% CI, 0.07-0.10; k = 37; n = 6485) at 0.5 years, 0.15 (95% CI, 0.13-0.16; k = 53; n = 7907) at 1 year, 0.20 (95% CI, 0.17-0.22; k = 30; n = 5488) at 1.5 years, 0.19 (95% CI, 0.17-0.22; k = 44; n = 7351) at 2 years, 0.25 (95% CI, 0.21-0.29; k = 19; n = 3114) at 2.5 years, 0.25 (95% CI, 0.22-0.29; k = 29; n = 4029) at 3 years, 0.27 (95% CI, 0.23-0.30; k = 16; n = 2926) at 4 years, and 0.28 (95% CI, 0.20-0.37; k = 14; n = 2301) at more than 4 years. The cumulative Kaplan-Meier transition risk was 0.08 (95% CI, 0.08-0.09; n = 4860) at 0.5 years, 0.14 (95% CI, 0.13-0.15; n = 3408) at 1 year, 0.17 (95% CI, 0.16-0.19; n = 2892) at 1.5 years, 0.20 (95% CI, 0.19-0.21; n = 2357) at 2 years, 0.25 (95% CI, 0.23-0.26; n = 1444) at 2.5 years, 0.27 (95% CI, 0.25-0.28; n = 1029) at 3 years, 0.28 (95% CI, 0.26-0.29; n = 808) at 3.5 years, 0.29 (95% CI, 0.27-0.30; n = 737) at 4 years, and 0.35 (95% CI, 0.32-0.38; n = 114) at 10 years. The hazard rate only plateaued at 4 years' follow-up. Meta-regressions showed that a lower proportion of female individuals (β = -0.02; 95% CI, -0.04 to -0.01) and a higher proportion of brief limited intermittent psychotic symptoms (β = 0.02; 95% CI, 0.01-0.03) were associated with an increase in transition risk. Heterogeneity across the studies was high (I2 range, 77.91% to 95.73%). CONCLUSIONS AND RELEVANCE In this meta-analysis, 25% of individuals at CHR-P developed psychosis within 3 years. Transition risk continued increasing in the long term. Extended clinical monitoring and preventive care may be beneficial in this patient population.
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Affiliation(s)
- Gonzalo Salazar de Pablo
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King’s College London, London, United Kingdom,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), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain,Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Joaquim Radua
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King’s College London, London, United Kingdom,Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d’Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain,Department of Clinical Neuroscience, Centre for Psychiatric Research and Education, Karolinska Institutet, Stockholm, Sweden
| | - Joana Pereira
- Centro Hospitalar Psiquiátrico de Lisboa, Lisbon, Portugal
| | - Ilaria Bonoldi
- Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King’s College London, London, United Kingdom
| | - Vincenzo Arienti
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Filippo Besana
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Livia Soardo
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Anna Cabras
- Department of Neurology and Psychiatry, University of Rome La Sapienza, Rome, Italy
| | - Lydia Fortea
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d’Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain,Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Ana Catalan
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King’s College London, London, United Kingdom,Mental Health Department, Biocruces Bizkaia Health Research Institute, Basurto University Hospital, Facultad de Medicina y Odontología, Campus de Leioa, University of the Basque Country, UPV/EHU, Bizkaia, Spain
| | - Julio Vaquerizo-Serrano
- Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King’s College London, London, United Kingdom,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), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain,Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Francesco Coronelli
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Simi Kaur
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King’s College London, London, United Kingdom
| | - Josette Da Silva
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King’s College London, London, United Kingdom
| | - Jae Il Shin
- Department of Paediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Marco Solmi
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King’s College London, London, United Kingdom,Neurosciences Department, University of Padova, Padova, Italy
| | - Natascia Brondino
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Pierluigi Politi
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Philip McGuire
- Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King’s College London, London, United Kingdom,OASIS service, South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King’s College London, London, United Kingdom,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy,OASIS service, South London and Maudsley NHS Foundation Trust, London, United Kingdom
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9
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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: 8] [Impact Index Per Article: 2.0] [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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10
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Staines L, Gajwani R, Gross J, Gumley AI, Lawrie SM, Schwannauer M, Schultze-Lutter F, Uhlhaas PJ. Duration of basic and attenuated-psychotic symptoms in individuals at clinical high risk for psychosis: pattern of symptom onset and effects of duration on functioning and cognition. BMC Psychiatry 2021; 21:339. [PMID: 34233651 PMCID: PMC8265048 DOI: 10.1186/s12888-021-03267-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 05/04/2021] [Indexed: 11/10/2022] Open
Abstract
INTRODUCTION Duration of risk symptoms (DUR) in people at clinical high risk for psychosis (CHR-P) has been related to poorer clinical outcomes, such as reduced functioning, but it is currently unclear how different symptoms emerge as well as their link with cognitive deficits. To address these questions, we examined the duration of basic symptoms (BS) and attenuated psychotic symptoms (APS) in a sample of CHR-P participants to test the hypothesis that BS precede the manifestation of APS. As a secondary objective, we investigated the relationship between DUR, functioning and neuropsychological deficits. METHODS Data from 134 CHR-P participants were assessed with the Comprehensive Assessment of At-Risk Mental State and the Schizophrenia Proneness Interview, Adult Version. Global, role and social functioning and neurocognition were assessed and compared to a sample of healthy controls (n = 57). RESULTS In CHR-P participants who reported both APS and BS, onset of BS and APS was not significantly related. When divided into short and long BS duration (</> 8 years), CHR-P participants with a longer duration of BS showed evidence for an onset of BS preceding APS (n = 8, p = 0.003). However, in the short BS duration group, APS showed evidence of preceding BS (n = 56, p = 0.020). Finally, there were no significant effects of DUR on cognition or functioning measures. CONCLUSION The present findings do not support the view that APS constitute a secondary phenomenon to BS. Moreover, our data could also not confirm that DUR has a significant effect on functioning and cognitive deficits. These findings are discussed in the context of current theories regarding emerging psychosis and the importance of DUR.
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Affiliation(s)
- Lorna Staines
- Institute for Neuroscience and Psychology, University of Glasgow, Glasgow, UK.,Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Ruchika Gajwani
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Joachim Gross
- Institute for Neuroscience and Psychology, University of Glasgow, Glasgow, UK.,Institute for Biomagnetism and Biosignalanalysis, University of Muenster, Muenster, Germany
| | - Andrew I Gumley
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Stephen M Lawrie
- Department of Psychiatry, University of Edinburgh, Edinburgh, UK
| | | | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.,Department of Psychology and Mental Health, Faculty of Psychology, Airlangga University, Surabaya, Indonesia.,University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Peter J Uhlhaas
- Institute for Neuroscience and Psychology, University of Glasgow, Glasgow, UK. .,Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany.
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11
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Murray GK, Lin T, Austin J, McGrath JJ, Hickie IB, Wray NR. Could Polygenic Risk Scores Be Useful in Psychiatry?: A Review. JAMA Psychiatry 2021; 78:210-219. [PMID: 33052393 DOI: 10.1001/jamapsychiatry.2020.3042] [Citation(s) in RCA: 146] [Impact Index Per Article: 36.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
IMPORTANCE Polygenic risk scores (PRS) are predictors of the genetic susceptibility to diseases, calculated for individuals as weighted counts of thousands of risk variants in which the risk variants and their weights have been identified in genome-wide association studies. Polygenic risk scores show promise in aiding clinical decision-making in many areas of medical practice. This review evaluates the potential use of PRS in psychiatry. OBSERVATIONS On their own, PRS will never be able to establish or definitively predict a diagnosis of common complex conditions (eg, mental health disorders), because genetic factors only contribute part of the risk and PRS will only ever capture part of the genetic contribution. Combining PRS with other risk factors has potential to improve outcome prediction and aid clinical decision-making (eg, determining follow-up options for individuals seeking help who are at clinical risk of future illness). Prognostication of adverse physical health outcomes or response to treatment in clinical populations are of great interest for psychiatric practice, but data from larger samples are needed to develop and evaluate PRS. CONCLUSIONS AND RELEVANCE Polygenic risk scores will contribute to risk assessment in clinical psychiatry as it evolves to combine information from molecular, clinical, and lifestyle metrics. The genome-wide genotype data needed to calculate PRS are inexpensive to generate and could become available to psychiatrists as a by-product of practices in other medical specialties. The utility of PRS in clinical psychiatry, as well as ethical issues associated with their use, should be evaluated in the context of realistic expectations of what PRS can and cannot deliver. Clinical psychiatry has lagged behind other fields of health care in its use of new technologies and routine clinical data for research. Now is the time to catch up.
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Affiliation(s)
- Graham K Murray
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia.,Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom.,Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, United Kingdom
| | - Tian Lin
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia
| | - Jehannine Austin
- Departments of Psychiatry and Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada.,BC Mental Health and Substance Use Services Research Institute, Vancouver, British Columbia, Canada
| | - John J McGrath
- Queensland Brain Institute, The University of Queensland, Brisbane, Australia.,Queensland Centre for Mental Health Research, The Park Centre for Mental Health, Wacol, Australia.,National Centre for Register-based Research, Aarhus University, Aarhus, Denmark
| | - Ian B Hickie
- Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Naomi R Wray
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia.,Queensland Brain Institute, The University of Queensland, Brisbane, Australia
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