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      What makes the psychosis ‘clinical high risk’ state risky: psychosis itself or the co-presence of a non-psychotic disorder?

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          Abstract

          Aims

          Although attenuated psychotic symptoms in the psychosis clinical high-risk state (CHR-P) almost always occur in the context of a non-psychotic disorder (NPD), NPD is considered an undesired ‘comorbidity’ epiphenomenon rather than an integral part of CHR-P itself. Prospective work, however, indicates that much more of the clinical psychosis incidence is attributable to prior mood and drug use disorders than to psychosis clinical high-risk states per se. In order to examine this conundrum, we analysed to what degree the ‘risk’ in CHR-P is indexed by co-present NPD rather than attenuated psychosis per se.

          Methods

          We examined the incidence of early psychotic experiences (PE) with and without NPD (mood disorders, anxiety disorders, alcohol/drug use disorders), in a prospective general population cohort ( n = 6123 at risk of incident PE at baseline). Four interview waves were conducted between 2007 and 2018 (NEMESIS-2). The incidence of PE, alone (PE-only) or with NPD (PE + NPD) was calculated, as were differential associations with schizophrenia polygenic risk score (PRS-Sz), environmental, demographical, clinical and cognitive factors.

          Results

          The incidence of PE + NPD (0.37%) was lower than the incidence of PE-only (1.04%), representing around a third of the total yearly incidence of PE. Incident PE + NPD was, in comparison with PE-only, differentially characterised by poor functioning, environmental risks, PRS-Sz, positive family history, prescription of antipsychotic medication and (mental) health service use.

          Conclusions

          The risk in ‘clinical high risk’ states is mediated not by attenuated psychosis per se but specifically the combination of attenuated psychosis and NPD. CHR-P/APS research should be reconceptualised from a focus on attenuated psychotic symptoms with exclusion of non-psychotic DSM-disorders, as the ‘pure' representation of a supposedly homotypic psychosis risk state, towards a focus on poor-outcome NPDs, characterised by a degree of psychosis admixture, on the pathway to psychotic disorder outcomes.

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          Most cited references61

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          The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection.

          A 36-item short-form (SF-36) was constructed to survey health status in the Medical Outcomes Study. The SF-36 was designed for use in clinical practice and research, health policy evaluations, and general population surveys. The SF-36 includes one multi-item scale that assesses eight health concepts: 1) limitations in physical activities because of health problems; 2) limitations in social activities because of physical or emotional problems; 3) limitations in usual role activities because of physical health problems; 4) bodily pain; 5) general mental health (psychological distress and well-being); 6) limitations in usual role activities because of emotional problems; 7) vitality (energy and fatigue); and 8) general health perceptions. The survey was constructed for self-administration by persons 14 years of age and older, and for administration by a trained interviewer in person or by telephone. The history of the development of the SF-36, the origin of specific items, and the logic underlying their selection are summarized. The content and features of the SF-36 are compared with the 20-item Medical Outcomes Study short-form.
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            Biological Insights From 108 Schizophrenia-Associated Genetic Loci

            Summary Schizophrenia is a highly heritable disorder. Genetic risk is conferred by a large number of alleles, including common alleles of small effect that might be detected by genome-wide association studies. Here, we report a multi-stage schizophrenia genome-wide association study of up to 36,989 cases and 113,075 controls. We identify 128 independent associations spanning 108 conservatively defined loci that meet genome-wide significance, 83 of which have not been previously reported. Associations were enriched among genes expressed in brain providing biological plausibility for the findings. Many findings have the potential to provide entirely novel insights into aetiology, but associations at DRD2 and multiple genes involved in glutamatergic neurotransmission highlight molecules of known and potential therapeutic relevance to schizophrenia, and are consistent with leading pathophysiological hypotheses. Independent of genes expressed in brain, associations were enriched among genes expressed in tissues that play important roles in immunity, providing support for the hypothesized link between the immune system and schizophrenia.
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              The MOS short-form general health survey. Reliability and validity in a patient population.

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                Author and article information

                Journal
                Epidemiol Psychiatr Sci
                Epidemiol Psychiatr Sci
                EPS
                Epidemiology and Psychiatric Sciences
                Cambridge University Press (Cambridge, UK )
                2045-7960
                2045-7979
                2021
                06 July 2021
                : 30
                : e53
                Affiliations
                [1 ]Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre , Maastricht, the Netherlands
                [2 ]Department of Epidemiology, Netherlands Institute of Mental Health and Addiction , Utrecht, The Netherlands
                [3 ]FACT, Mondriaan Mental Health , Maastricht, Netherlands
                [4 ]MRC Centre for Neuropsychiatric Genetics & Genomics, Division of Psychological Medicine & Clinical Neurosciences, Cardiff University , Cardiff, United Kingdom
                [5 ]Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University , Utrecht, The Netherlands
                [6 ]Department of Neurology, Brain Centre Rudolf Magnus, University Medical Centre Utrecht , Utrecht, the Netherlands
                [7 ]GGNet Mental Health , Apeldoorn, The Netherlands
                [8 ]Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University , Utrecht, The Netherlands
                [9 ]Department of Psychiatry, Yale University School of Medicine , New Haven, CT, USA
                [10 ]Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London , London, UK
                Author notes
                Author for correspondence: Jim van Os, E-mail: j.j.vanos-2@ 123456umcutrecht.nl
                Author information
                https://orcid.org/0000-0002-6439-2774
                https://orcid.org/0000-0002-6626-1874
                https://orcid.org/0000-0002-7245-1586
                Article
                S204579602100041X
                10.1017/S204579602100041X
                8264801
                34225831
                1634811e-0185-43e4-b3cb-e3cebe6dcaa1
                © The Author(s) 2021

                This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.

                History
                : 28 February 2021
                : 29 May 2021
                : 07 June 2021
                Page count
                Figures: 1, Tables: 3, References: 61, Pages: 10
                Categories
                Original Article

                epidemiology,prevention,psychosis,risk
                epidemiology, prevention, psychosis, risk

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