Abstract
BackgroundAlthough early intervention is crucial for favorable outcome in patients with schizophrenia, development of biomarkers for predicting prognosis of psychotic disorder still requires more research. This study aims to investigate whether auditory P300 predict prognosis in patients with first episode psychosis (FEP) during 1-year of follow-up period.MethodsTwenty-four patients with FEP were examined with auditory P300 at baseline, and their clinical status were re-assessed after 1 year. Multiple regression analysis was used to identify factors predictive of prognosis in FEP patients during the follow-up period.ResultsIn the multiple regression analysis, P300 amplitude at CPz significantly predicted later improvement of Positive and Negative Syndrome Scale (PANSS) total, positive and general sub-scores. Improvement of Global Assessment of Functioning (GAF) and Brief Psychiatric Rating Scale (BPRS) scores were predicted by baseline P300 amplitude at CPz.DiscussionP300 may be a possible predictor of improvement in symptoms and functional status, as well as overall psychiatric status in patients with FEP. Future study with larger sample and longer follow-up period is needed to confirm the findings of the current study.
Highlights
The ZNF804A gene and cannabis use are risk factors for psychosis, both of which have been associated with schizotypic traits
This study aims to investigate whether auditory P300 predict prognosis in patients with first episode psychosis (FEP) during 1-year of follow-up period
Twenty-four patients with FEP were examined with auditory P300 at baseline, and their clinical status were re-assessed after 1 year
Summary
S17. ZNF804A GENE AND CANNABIS USE: INTERACTION ON THE RISK FOR PSYCHOSIS IN A NON-CLINICAL SAMPLE Jordi Soler Garcia*,1, Barbara Arias2, Jorge Moya3, Manuel Ignacio Ibañez4, Generós Ortet4, Lourdes Fañanás2, Mar Fatjó-Vilas2 1University of Barcelona, Biomedicine Institute of the University of Barcelona (IBUB); 2University of Barcelona, Biomedicine Institute of the University of Barcelona (IBUB), Centre for Biomedical Research Network on Mental Health (CIBERSAM); 3University of Lleida, Centre for Biomedical Research Network on Mental Health (CIBERSAM); 4Universitat Jaume I, Centre for Biomedical Research Network on Mental Health (CIBERSAM)
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
