| Literature DB >> 33379225 |
Estela Salagre1, Iria Grande1, Brisa Solé1, Gisela Mezquida2, Manuel J Cuesta3, Covadonga M Díaz-Caneja4, Silvia Amoretti2, Antonio Lobo5, Ana González-Pinto6,7, Carmen Moreno4, Laura Pina-Camacho4, Iluminada Corripio7,8, Immaculada Baeza9, Daniel Bergé10, Norma Verdolini1, André F Carvalho11,12, Eduard Vieta1, Miquel Bernardo2.
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.Entities:
Keywords: early intervention; first-episode psychosis; functional outcomes; latent class analysis; neurocognition; precision medicine; risk factors
Year: 2020 PMID: 33379225 DOI: 10.3390/jcm10010073
Source DB: PubMed Journal: J Clin Med ISSN: 2077-0383 Impact factor: 4.241