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

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, w...

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Main Authors: Estela Salagre, Iria Grande, Brisa Solé, Gisela Mezquida, Manuel J. Cuesta, Covadonga M. Díaz-Caneja, Silvia Amoretti, Antonio Lobo, Ana González-Pinto, Carmen Moreno, Laura Pina-Camacho, Iluminada Corripio, Immaculada Baeza, Daniel Bergé, Norma Verdolini, André F. Carvalho, Eduard Vieta, Miquel Bernardo, PEPs Group
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Journal of Clinical Medicine
Subjects:
Online Access:https://www.mdpi.com/2077-0383/10/1/73
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language English
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author Estela Salagre
Iria Grande
Brisa Solé
Gisela Mezquida
Manuel J. Cuesta
Covadonga M. Díaz-Caneja
Silvia Amoretti
Antonio Lobo
Ana González-Pinto
Carmen Moreno
Laura Pina-Camacho
Iluminada Corripio
Immaculada Baeza
Daniel Bergé
Norma Verdolini
André F. Carvalho
Eduard Vieta
Miquel Bernardo
PEPs Group
spellingShingle Estela Salagre
Iria Grande
Brisa Solé
Gisela Mezquida
Manuel J. Cuesta
Covadonga M. Díaz-Caneja
Silvia Amoretti
Antonio Lobo
Ana González-Pinto
Carmen Moreno
Laura Pina-Camacho
Iluminada Corripio
Immaculada Baeza
Daniel Bergé
Norma Verdolini
André F. Carvalho
Eduard Vieta
Miquel Bernardo
PEPs Group
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
Journal of Clinical Medicine
first-episode psychosis
functional outcomes
risk factors
early intervention
neurocognition
latent class analysis
author_facet Estela Salagre
Iria Grande
Brisa Solé
Gisela Mezquida
Manuel J. Cuesta
Covadonga M. Díaz-Caneja
Silvia Amoretti
Antonio Lobo
Ana González-Pinto
Carmen Moreno
Laura Pina-Camacho
Iluminada Corripio
Immaculada Baeza
Daniel Bergé
Norma Verdolini
André F. Carvalho
Eduard Vieta
Miquel Bernardo
PEPs Group
author_sort Estela Salagre
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
title_short 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_sort 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
publisher MDPI AG
series Journal of Clinical Medicine
issn 2077-0383
publishDate 2021-12-01
description 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.
topic first-episode psychosis
functional outcomes
risk factors
early intervention
neurocognition
latent class analysis
url https://www.mdpi.com/2077-0383/10/1/73
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spelling doaj-b88cc59427ff4978b01a571979d24a332020-12-29T00:01:48ZengMDPI AGJournal of Clinical Medicine2077-03832021-12-0110737310.3390/jcm10010073Exploring Risk and Resilient Profiles for Functional Impairment and Baseline Predictors in a 2-Year Follow-Up First-Episode Psychosis Cohort Using Latent Class Growth AnalysisEstela Salagre0Iria Grande1Brisa Solé2Gisela Mezquida3Manuel J. Cuesta4Covadonga M. Díaz-Caneja5Silvia Amoretti6Antonio Lobo7Ana González-Pinto8Carmen Moreno9Laura Pina-Camacho10Iluminada Corripio11Immaculada Baeza12Daniel Bergé13Norma Verdolini14André F. Carvalho15Eduard Vieta16Miquel Bernardo17PEPs GroupBipolar and Depressive Disorders Unit, Hospital Clinic, Biomedical Research Networking Center for Mental Health Network (CIBERSAM), August Pi I Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, 08036 Barcelona, SpainBipolar and Depressive Disorders Unit, Hospital Clinic, Biomedical Research Networking Center for Mental Health Network (CIBERSAM), August Pi I Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, 08036 Barcelona, SpainBipolar and Depressive Disorders Unit, Hospital Clinic, Biomedical Research Networking Center for Mental Health Network (CIBERSAM), August Pi I Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, 08036 Barcelona, SpainBarcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Department of Medicine, Institut de Neurociències, August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Universitat de Barcelona, 08036 Barcelona, SpainDepartment of Psychiatry, Instituto de Investigaciones Sanitarias de Navarra (IdiSNa), Complejo Hospitalario de Navarra, 31008 Pamplona, SpainDepartment of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, School of Medicine, Universidad Complutense, 28007 Madrid, SpainBarcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Department of Medicine, Institut de Neurociències, August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Universitat de Barcelona, 08036 Barcelona, SpainDepartment of Medicine and Psychiatry, Instituto de Investigación Sanitaria Aragón (IIS Aragón), Universidad de Zaragoza, 50009 Zaragoza, SpainDepartment of Psychiatry, Hospital Universitario de Alava, BIOARABA Health Research Institute, University of the Basque Country, 01009 Vitoria, SpainDepartment of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, School of Medicine, Universidad Complutense, 28007 Madrid, SpainDepartment of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, School of Medicine, Universidad Complutense, 28007 Madrid, SpainCentro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), 28029 Madrid, SpainBiomedical Research Networking Center for Mental Health Network (CIBERSAM), Child and Adolescent Psychiatry and Psychology Department, August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Hospital Clínic of Barcelona, SGR-881, Universitat de Barcelona, 08036 Barcelona, SpainHospital del Mar Medical Research Institute, CIBERSAM, Autonomous University of Barcelona, 08003 Barcelona, SpainBipolar and Depressive Disorders Unit, Hospital Clinic, Biomedical Research Networking Center for Mental Health Network (CIBERSAM), August Pi I Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, 08036 Barcelona, SpainCentre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, ON M6J 1H4, CanadaBipolar and Depressive Disorders Unit, Hospital Clinic, Biomedical Research Networking Center for Mental Health Network (CIBERSAM), August Pi I Sunyer Biomedical Research Institute (IDIBAPS), University of Barcelona, 08036 Barcelona, SpainBarcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Department of Medicine, Institut de Neurociències, August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Universitat de Barcelona, 08036 Barcelona, SpainBeing 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.https://www.mdpi.com/2077-0383/10/1/73first-episode psychosisfunctional outcomesrisk factorsearly interventionneurocognitionlatent class analysis