Exploring risk and resilient profiles for functional impairment and baseline predictors in a 2-year follow-up first-episode psychosis cohort using latent class growth analysis

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• dc.contributor.author Salagre, Estela
• dc.contributor.author Berge Baquero, Daniel
• dc.contributor.author Bernardo, Miquel
• dc.contributor.author PEPs Group
• dc.date.accessioned 2021-10-15T07:17:15Z
• dc.date.available 2021-10-15T07:17:15Z
• dc.date.issued 2020
• dc.description.abstract Being able to predict functional outcomes after First-Episode Psychosis (FEP) is a major goal in psychiatry. Thus, we aimed to identify trajectories of psychosocial functioning in a FEP cohort followed-up for 2 years in order to find premorbid/baseline predictors for each trajectory. Additionally, we explored diagnosis distribution within the different trajectories. A total of 261 adults with FEP were included. Latent class growth analysis identified four distinct trajectories: Mild impairment-Improving trajectory (Mi-I) (38.31% of the sample), Moderate impairment-Stable trajectory (Mo-S) (18.39%), Severe impairment-Improving trajectory (Se-I) (12.26%), and Severe impairment-Stable trajectory (Se-S) (31.03%). Participants in the Mi-I trajectory were more likely to have higher parental socioeconomic status, less severe baseline depressive and negative symptoms, and better premorbid adjustment than individuals in the Se-S trajectory. Participants in the Se-I trajectory were more likely to have better baseline verbal learning and memory and better premorbid adjustment than those in the Se-S trajectory. Lower baseline positive symptoms predicted a Mo-S trajectory vs. Se-S trajectory. Diagnoses of Bipolar disorder and Other psychoses were more prevalent among individuals falling into Mi-I trajectory. Our findings suggest four distinct trajectories of psychosocial functioning after FEP. We also identified social, clinical, and cognitive factors associated with more resilient trajectories, thus providing insights for early interventions targeting psychosocial functioning.
• dc.format.mimetype application/pdf
• dc.identifier.citation Salagre E, Grande I, Solé B, Mezquida G, Cuesta MJ, Díaz-Caneja CM, et al. Exploring risk and resilient profiles for functional impairment and baseline predictors in a 2-year follow-up first-episode psychosis cohort using latent class growth analysis. J Clin Med. 2020 Dec 28; 10(1): 73. DOI: 10.3390/jcm10010073
• dc.identifier.doi http://dx.doi.org/10.3390/jcm10010073
• dc.identifier.issn 2077-0383
• dc.identifier.uri http://hdl.handle.net/10230/48667
• dc.language.iso eng
• dc.publisher MDPI
• dc.rights Copyright © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Early intervention
• dc.subject.keyword First-episode psychosis
• dc.subject.keyword Functional outcomes
• dc.subject.keyword Latent class analysis
• dc.subject.keyword Neurocognition
• dc.subject.keyword Precision medicine
• dc.subject.keyword Risk factors
• dc.title Exploring risk and resilient profiles for functional impairment and baseline predictors in a 2-year follow-up first-episode psychosis cohort using latent class growth analysis
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion