Literature DB >> 22464922

Axis I diagnoses and transition to psychosis in clinical high-risk patients EPOS project: prospective follow-up of 245 clinical high-risk outpatients in four countries.

Raimo K R Salokangas1, Stephan Ruhrmann, Heinrich Graf von Reventlow, Markus Heinimaa, Tanja Svirskis, Tiina From, Sinikka Luutonen, Georg Juckel, Don Linszen, Peter Dingemans, Max Birchwood, Paul Patterson, Frauke Schultze-Lutter, Joachim Klosterkötter.   

Abstract

BACKGROUND: In selected samples, a considerable number of patients at clinical high risk of psychosis (CHR) are found to meet criteria for co-morbid clinical psychiatric disorders. It is not known how clinical diagnoses correspond to or even predict transitions to psychosis (TTP). Our aim was to examine distributions of life-time and current Axis I diagnoses, and their association with TTP in CHR patients.
METHODS: In the EPOS (European Prediction of Psychosis Study) project, six European outpatient centres in four countries examined 245 young help-seeking patients, who fulfilled the inclusion criteria for clinical risk of psychosis according to the Structured Interview for Prodromal Syndromes (SIPS 3.0) or the Bonn Scale for the Assessment of Basic Symptoms - Prediction List basic symptoms (BASBS-P). Patients who had experienced a psychotic episode lasting more than one week were excluded. Baseline and life-time diagnoses were assessed by the Structured Clinical Interview for DSM-IV (SCID-I). TTP was defined by continuation of BLIPS for more than seven days and predicted in Cox-regression analysis.
RESULTS: Altogether, 71% of the CHR patients had one or more life-time and 62% one or more current SCID-I diagnosis; about a half in each category received a diagnosis of life-time depressive and anxiety disorder. Currently, 34% suffered from depressive and 39% from anxiety disorder. Four percent received a current SCID diagnosis of bipolar, and 6.5% of somatoform disorder. During follow-up, 37 (15.1%) patients had developed full-blown psychosis. In bivariate analyses, current non-psychotic bipolar disorder associated significantly with TTP. In multivariate analyses, current bipolar disorder, somatoform and unipolar depressive disorders associated positively, and anxiety disorders negatively, with TTP.
CONCLUSIONS: Both life-time and current mood and anxiety disorders are highly prevalent among clinical help-seeking CHR patients and need to be carefully evaluated. Among CHR patients, occurrence of bipolar, somatoform and depressive disorders seems to predict TTP, while occurrence of anxiety disorder may predict non-transition to psychosis.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22464922     DOI: 10.1016/j.schres.2012.03.008

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


  44 in total

1.  Specificity of Incident Diagnostic Outcomes in Patients at Clinical High Risk for Psychosis.

Authors:  Jadon R Webb; Jean Addington; Diana O Perkins; Carrie E Bearden; Kristin S Cadenhead; Tyrone D Cannon; Barbara A Cornblatt; Robert K Heinssen; Larry J Seidman; Sarah I Tarbox; Ming T Tsuang; Elaine F Walker; Thomas H McGlashan; Scott W Woods
Journal:  Schizophr Bull       Date:  2015-09       Impact factor: 9.306

2.  Examining Specificity of Neural Correlates of Childhood Psychotic-like Experiences During an Emotional n-Back Task.

Authors:  Kathleen J O'Brien; Deanna M Barch; Sridhar Kandala; Nicole R Karcher
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2020-03-19

Review 3.  Towards indicated prevention of psychosis: using probabilistic assessments of transition risk in psychosis prodrome.

Authors:  Scott Richard Clark; Klaus Oliver Schubert; Bernhard Theodor Baune
Journal:  J Neural Transm (Vienna)       Date:  2014-10-16       Impact factor: 3.575

4.  Adolescents at clinical-high risk for psychosis: Circadian rhythm disturbances predict worsened prognosis at 1-year follow-up.

Authors:  Jessica R Lunsford-Avery; Bruno da Silva Brandão Gonçalves; Elisa Brietzke; Rodrigo A Bressan; Ary Gadelha; Randy P Auerbach; Vijay A Mittal
Journal:  Schizophr Res       Date:  2017-02-04       Impact factor: 4.939

5.  Course of clinical high-risk states for psychosis beyond conversion.

Authors:  Chantal Michel; Stephan Ruhrmann; Benno G Schimmelmann; Joachim Klosterkötter; Frauke Schultze-Lutter
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2017-01-04       Impact factor: 5.270

6.  Actigraphic-measured sleep disturbance predicts increased positive symptoms in adolescents at ultra high-risk for psychosis: A longitudinal study.

Authors:  Jessica R Lunsford-Avery; Monique K LeBourgeois; Tina Gupta; Vijay A Mittal
Journal:  Schizophr Res       Date:  2015-03-26       Impact factor: 4.939

7.  Attenuated psychotic and basic symptom characteristics in adolescents with ultra-high risk criteria for psychosis, other non-psychotic psychiatric disorders and early-onset psychosis.

Authors:  Nella Lo Cascio; Riccardo Saba; Marta Hauser; Ditte Lammers Vernal; Aseel Al-Jadiri; Yehonatan Borenstein; Eva M Sheridan; Taishiro Kishimoto; Marco Armando; Stefano Vicari; Paolo Fiori Nastro; Paolo Girardi; Eva Gebhardt; John M Kane; Andrea Auther; Ricardo E Carrión; Barbara A Cornblatt; Benno G Schimmelmann; Frauke Schultze-Lutter; Christoph U Correll
Journal:  Eur Child Adolesc Psychiatry       Date:  2016-02-26       Impact factor: 4.785

8.  Sleep dysfunction and thalamic abnormalities in adolescents at ultra high-risk for psychosis.

Authors:  Jessica R Lunsford-Avery; Joseph M Orr; Tina Gupta; Andrea Pelletier-Baldelli; Derek J Dean; Ashley K Smith Watts; Jessica Bernard; Zachary B Millman; Vijay A Mittal
Journal:  Schizophr Res       Date:  2013-10-04       Impact factor: 4.939

9.  Symptom dimensions and functional impairment in early psychosis: more to the story than just negative symptoms.

Authors:  Daniel Fulford; Tara A Niendam; Erin G Floyd; Cameron S Carter; Daniel H Mathalon; Sophia Vinogradov; Barbara K Stuart; Rachel L Loewy
Journal:  Schizophr Res       Date:  2013-04-12       Impact factor: 4.939

10.  Deconstructing Negative Symptoms in Individuals at Clinical High-Risk for Psychosis: Evidence for Volitional and Diminished Emotionality Subgroups That Predict Clinical Presentation and Functional Outcome.

Authors:  Tina Gupta; Henry R Cowan; Gregory P Strauss; Elaine F Walker; Vijay A Mittal
Journal:  Schizophr Bull       Date:  2021-01-23       Impact factor: 9.306

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