Literature DB >> 28734908

Why transition risk to psychosis is not declining at the OASIS ultra high risk service: The hidden role of stable pretest risk enrichment.

P Fusar-Poli1, E Palombini2, C Davies2, D Oliver2, I Bonoldi3, V Ramella-Cravaro2, P McGuire4.   

Abstract

BACKGROUND: The reason for declining risk to psychosis across individuals assessed and meeting Ultra High Risk (UHR) criteria is still unclear. No studies have investigated the potential substantial role of the underlying risk enrichment across all the individuals undergoing an UHR assessment.
METHODS: Cohort study including all non-psychotic subjects who were assessed on suspicion of psychosis risk by the OASIS UHR service in the period 2001 to 2015. Posttest (after UHR assessment) and pretest risk (before UHR assessment) of psychosis were stratified and compared across three time periods (2001-2005, 2006-2010, 2011-2015) with Cox analysis and modulating factors were investigated.
RESULTS: The posttest risk of psychosis at the OASIS service has increased from the initial pilot years of the service (2001-2005) and then stabilised and not declined over the following decade (2006-2010 and 2011-2015). This was paralleled by a similar course of pretest risk for psychosis. Stability of pretest risk for psychosis over the past decade was associated with a lack of change in ethnicity and to counterweighting changes in the type of referral sources over different time periods.
CONCLUSIONS: The time course of transition risk to psychosis in UHR services is strictly associated with the time course of pretest risk enrichment. If the latter remains stable over time, as for the OASIS service, no declining transition risk is observed over the most recent years. Pretest risk enrichment is determined by recruitment and sampling strategies. This study confirms the need to control these factors in the UHR field.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  ARMS; Prevention; Psychosis; Risk; Schizophrenia; UHR

Mesh:

Year:  2017        PMID: 28734908     DOI: 10.1016/j.schres.2017.06.015

Source DB:  PubMed          Journal:  Schizophr Res        ISSN: 0920-9964            Impact factor:   4.939


  23 in total

1.  What causes psychosis? An umbrella review of risk and protective factors.

Authors:  Joaquim Radua; Valentina Ramella-Cravaro; John P A Ioannidis; Abraham Reichenberg; Nacharin Phiphopthatsanee; Taha Amir; Hyi Yenn Thoo; Dominic Oliver; Cathy Davies; Craig Morgan; Philip McGuire; Robin M Murray; Paolo Fusar-Poli
Journal:  World Psychiatry       Date:  2018-02       Impact factor: 49.548

2.  Real-World Clinical Outcomes Two Years After Transition to Psychosis in Individuals at Clinical High Risk: Electronic Health Record Cohort Study.

Authors:  Paolo Fusar-Poli; Andrea De Micheli; Rashmi Patel; Lorenzo Signorini; Syed Miah; Thomas Spencer; Philip McGuire
Journal:  Schizophr Bull       Date:  2020-04-18       Impact factor: 9.306

3.  Preventive psychiatry: a blueprint for improving the mental health of young people.

Authors:  Paolo Fusar-Poli; Christoph U Correll; Celso Arango; Michael Berk; Vikram Patel; John P A Ioannidis
Journal:  World Psychiatry       Date:  2021-06       Impact factor: 79.683

Review 4.  Can We Predict Psychosis Outside the Clinical High-Risk State? A Systematic Review of Non-Psychotic Risk Syndromes for Mental Disorders.

Authors:  Tae Young Lee; Junhee Lee; Minah Kim; Eugenie Choe; Jun Soo Kwon
Journal:  Schizophr Bull       Date:  2018-02-15       Impact factor: 9.306

5.  Efficacy and Acceptability of Interventions for Attenuated Positive Psychotic Symptoms in Individuals at Clinical High Risk of Psychosis: A Network Meta-Analysis.

Authors:  Cathy Davies; Joaquim Radua; Andrea Cipriani; Daniel Stahl; Umberto Provenzani; Philip McGuire; Paolo Fusar-Poli
Journal:  Front Psychiatry       Date:  2018-06-12       Impact factor: 4.157

6.  NEURAPRO: a multi-centre RCT of omega-3 polyunsaturated fatty acids versus placebo in young people at ultra-high risk of psychotic disorders-medium-term follow-up and clinical course.

Authors:  B Nelson; G P Amminger; H P Yuen; C Markulev; S Lavoie; M R Schäfer; J A Hartmann; N Mossaheb; M Schlögelhofer; S Smesny; I B Hickie; G Berger; E Y H Chen; L de Haan; D H Nieman; M Nordentoft; A Riecher-Rössler; S Verma; A Thompson; A R Yung; P D McGorry
Journal:  NPJ Schizophr       Date:  2018-06-25

7.  Transdiagnostic Individualized Clinically Based Risk Calculator for the Detection of Individuals at Risk and the Prediction of Psychosis: Model Refinement Including Nonlinear Effects of Age.

Authors:  Paolo Fusar-Poli; Cathy Davies; Grazia Rutigliano; Daniel Stahl; Ilaria Bonoldi; Philip McGuire
Journal:  Front Psychiatry       Date:  2019-05-09       Impact factor: 4.157

8.  Real World Implementation of a Transdiagnostic Risk Calculator for the Automatic Detection of Individuals at Risk of Psychosis in Clinical Routine: Study Protocol.

Authors:  Paolo Fusar-Poli; Dominic Oliver; Giulia Spada; Rashmi Patel; Robert Stewart; Richard Dobson; Philip McGuire
Journal:  Front Psychiatry       Date:  2019-03-13       Impact factor: 4.157

9.  Risk factors for eating disorders: an umbrella review of published meta-analyses.

Authors:  Marco Solmi; Joaquim Radua; Brendon Stubbs; Valdo Ricca; Davide Moretti; Daniele Busatta; Andre F Carvalho; Elena Dragioti; Angela Favaro; Alessio Maria Monteleone; Jae Il Shin; Paolo Fusar-Poli; Giovanni Castellini
Journal:  Braz J Psychiatry       Date:  2020-09-28       Impact factor: 2.697

10.  Clinical-learning versus machine-learning for transdiagnostic prediction of psychosis onset in individuals at-risk.

Authors:  Paolo Fusar-Poli; Dominic Stringer; Alice M S Durieux; Grazia Rutigliano; Ilaria Bonoldi; Andrea De Micheli; Daniel Stahl
Journal:  Transl Psychiatry       Date:  2019-10-17       Impact factor: 6.222

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