Literature DB >> 26673973

Declining transition rates to psychotic disorder in "ultra-high risk" clients: Investigation of a dilution effect.

Jessica A Hartmann1, Hok Pan Yuen2, Patrick D McGorry2, Alison R Yung3, Ashleigh Lin4, Stephen J Wood5, Suzie Lavoie2, Barnaby Nelson2.   

Abstract

During recent years, a decrease has been noted in the rate of transition of ultra-high risk (UHR) clients to a psychotic disorder. Although important to the concept of the at-risk mental state, the reasons for this decline remain largely unknown. We investigated the possibility of a 'dilution effect' in contributing to the decline, i.e. if later UHR cohorts present with less severe clinical intake characteristics than earlier cohorts. Firstly, clinical intake characteristics of a large UHR sample (n=397) were compared across baseline year epochs (1995-2006). Characteristics showing significant differences were included in a Cox-regression to examine if they could explain the decline in transition rates. Secondly, because later cohorts show lower transition rates, 'more stringent' UHR-criteria were retrospectively applied to these cohorts (post-2000, n=219), investigating if this resulted in a higher transition rate. Results indicated that earlier cohorts presented with (1) a larger array of attenuated psychotic symptoms, (2) higher ratings on conceptual disorganization (formal thought disorder) and (3) a higher proportion of individuals with trait risk factor (all P<.001). However, these factors could not fully account for the decline in transition rates. Applying more stringent UHR-criteria to the post-2000-subsample did not substantially change the rate of transition. Our study suggests that later UHR cohorts presented with different clinical intake characteristics than earlier cohorts. While this may have contributed to the observed decrease in transition rates to psychosis, it does not appear to fully account for this decline, suggesting other factors have also impacted on transition rates over time.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Attenuated psychotic symptoms; Prodrome; Psychotic disorder; Schizophrenia; Ultra-high risk

Mesh:

Year:  2015        PMID: 26673973     DOI: 10.1016/j.schres.2015.11.026

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


  35 in total

1.  Clinical high risk for psychosis in childhood and adolescence: findings from the 2-year follow-up of the ReARMS project.

Authors:  Michele Poletti; Lorenzo Pelizza; Silvia Azzali; Federica Paterlini; Sara Garlassi; Ilaria Scazza; Luigi Rocco Chiri; Eva Gebhardt; Simona Pupo; Raballo Andrea
Journal:  Eur Child Adolesc Psychiatry       Date:  2018-12-01       Impact factor: 4.785

2.  Staged Treatment in Early Psychosis: A sequential multiple assignment randomised trial of interventions for ultra high risk of psychosis patients.

Authors:  Barnaby Nelson; G Paul Amminger; Hok Pan Yuen; Nicky Wallis; Melissa J Kerr; Lisa Dixon; Cameron Carter; Rachel Loewy; Tara A Niendam; Martha Shumway; Sarah Morris; Julie Blasioli; Patrick D McGorry
Journal:  Early Interv Psychiatry       Date:  2017-07-18       Impact factor: 2.732

3.  A predictive model for conversion to psychosis in clinical high-risk patients.

Authors:  Adam J Ciarleglio; Gary Brucato; Michael D Masucci; Rebecca Altschuler; Tiziano Colibazzi; Cheryl M Corcoran; Francesca M Crump; Guillermo Horga; Eugénie Lehembre-Shiah; Wei Leong; Scott A Schobel; Melanie M Wall; Lawrence H Yang; Jeffrey A Lieberman; Ragy R Girgis
Journal:  Psychol Med       Date:  2018-06-28       Impact factor: 7.723

4.  Sodium nitroprusside is effective in preventing and/or reversing the development of schizophrenia-related behaviors in an animal model: The SHR strain.

Authors:  Mariana C Diana; Fernanda F Peres; Veronica Justi; Rodrigo A Bressan; Acioly L T Lacerda; José Alexandre Crippa; Jaime E C Hallak; Vanesssa Costhek Abilio
Journal:  CNS Neurosci Ther       Date:  2018-04-14       Impact factor: 5.243

5.  Baseline demographics, clinical features and predictors of conversion among 200 individuals in a longitudinal prospective psychosis-risk cohort.

Authors:  G Brucato; M D Masucci; L Y Arndt; S Ben-David; T Colibazzi; C M Corcoran; A H Crumbley; F M Crump; K E Gill; D Kimhy; A Lister; S A Schobel; L H Yang; J A Lieberman; R R Girgis
Journal:  Psychol Med       Date:  2017-03-02       Impact factor: 7.723

6.  Interpersonal sensitivity and persistent attenuated psychotic symptoms in adolescence.

Authors:  Alice Masillo; M Brandizzi; L R Valmaggia; R Saba; N Lo Cascio; J F Lindau; L Telesforo; P Venturini; D Montanaro; D Di Pietro; M D'Alema; P Girardi; P Fiori Nastro
Journal:  Eur Child Adolesc Psychiatry       Date:  2017-09-16       Impact factor: 4.785

7.  A new method for analysing transition to psychosis: Joint modelling of time-to-event outcome with time-dependent predictors.

Authors:  Hok Pan Yuen; Andrew Mackinnon; Barnaby Nelson
Journal:  Int J Methods Psychiatr Res       Date:  2017-09-24       Impact factor: 4.035

8.  The neurobiology of transition to psychosis: clearing the cache.

Authors:  Lena Palaniyappan; Tushar Das; Kara Dempster
Journal:  J Psychiatry Neurosci       Date:  2017-09       Impact factor: 6.186

9.  Does hallucination perceptual modality impact psychosis risk?

Authors:  H F Niles; B C Walsh; S W Woods; A R Powers
Journal:  Acta Psychiatr Scand       Date:  2019-08-16       Impact factor: 6.392

10.  Neuroanatomical Predictors of Functional Outcome in Individuals at Ultra-High Risk for Psychosis.

Authors:  Renate L E P Reniers; Ashleigh Lin; Alison R Yung; Nikolaos Koutsouleris; Barnaby Nelson; Vanessa L Cropley; Dennis Velakoulis; Patrick D McGorry; Christos Pantelis; Stephen J Wood
Journal:  Schizophr Bull       Date:  2017-03-01       Impact factor: 9.306

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