Identification of distinct clinical profiles and trajectories in individuals at high risk of developing psychosis: A latent profile analysis of the north American prodrome longitudinal study consortium-3 dataset

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• dc.contributor.author Bergé, Daniel
• dc.contributor.author Carter, Cameron S.
• dc.contributor.author Smucny, Jason
• dc.date.accessioned 2024-10-16T06:14:37Z
• dc.date.embargoEnd info:eu-repo/date/embargoEnd/2025-02-13
• dc.date.issued 2024
• dc.description Data de publicació electrònica: 13-02-2024
• dc.description.abstract Aim: People at clinical high risk (CHR) for psychosis are a heterogeneous population in regard to clinical presentation and outcome. It is unclear, however, if their baseline clinical characteristics can be used to construct orthogonal subgroups that differ in their clinical trajectory to provide early identification of individuals in need of tailored interventions. Methods: We used latent profile analysis (LPA) to determine the number of distinct clinical profiles within the CHR population using the NAPLS-3 dataset, focusing on the clinical features incorporated in the NAPLS psychosis risk calculator (including age, unusual thought content and suspiciousness, processing speed, verbal learning and memory function, social functioning decline, life events, childhood trauma, and family history of psychosis). We then conducted a between-profile comparisons of clinical trajectories based on psychotic and depressive symptoms as well as substance use disorder (SUD) related features over time. Results: Two distinct profiles emerged. One profile, comprising approximately 25% of the sample, was significantly older, displayed better cognitive performance, experienced more types of traumatic and undesirable life events, exhibited a greater decline in functioning in the past year, and was more likely to have relatives with psychosis. This group showed worse positive symptoms and SUD-related features over time, although groups did not differ in the proportion of individuals who developed psychosis. Conclusions: LPA results suggest CHRs can be segregated into two profiles with different clinical trajectories. Characterizing individuals within these clinical profiles may help understand the divergent outcomes of this population and ultimately facilitate the development of specialized interventions.
• dc.embargo.liftdate 2025-02-13
• dc.format.mimetype application/pdf
• dc.identifier.citation Bergé D, Carter CS, Smucny J. Identification of distinct clinical profiles and trajectories in individuals at high risk of developing psychosis: A latent profile analysis of the north American prodrome longitudinal study consortium-3 dataset. Early Interv Psychiatry. 2024 Feb 13:10.1111/eip.13514. DOI: 10.1111/eip.13514
• dc.identifier.doi http://dx.doi.org/10.1111/eip.13514
• dc.identifier.issn 1751-7885
• dc.identifier.uri http://hdl.handle.net/10230/61417
• dc.language.iso eng
• dc.publisher Wiley
• dc.relation.ispartof Early Interv Psychiatry. 2024 Feb 13:10.1111/eip.13514
• dc.rights This is the peer reviewed version of the following article: Bergé D, Carter CS, Smucny J. Identification of distinct clinical profiles and trajectories in individuals at high risk of developing psychosis: A latent profile analysis of the north American prodrome longitudinal study consortium-3 dataset. Early Interv Psychiatry. 2024 Feb 13:10.1111/eip.13514. DOI: 10.1111/eip.13514, which has been published in final form at http://dx.doi.org/10.1111/eip.13514. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
• dc.rights.accessRights info:eu-repo/semantics/embargoedAccess
• dc.subject.keyword At risk mental state
• dc.subject.keyword Clinical high risk
• dc.subject.keyword Prodromal phase
• dc.subject.keyword Psychosis
• dc.subject.keyword Schizophrenia
• dc.title Identification of distinct clinical profiles and trajectories in individuals at high risk of developing psychosis: A latent profile analysis of the north American prodrome longitudinal study consortium-3 dataset
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/acceptedVersion