Cognitive clusters in first-episode psychosis
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/248989 |
Resumo: | Impairments in a broad range of cognitive domains have been consistently reported in some individuals with first-episode psychosis (FEP). Cognitive deficits can be observed during the prodromal stage. However, the course of cognitive deficits is still unclear. The aim of this study was to identify cognitive subgroups over time and to compare their sociodemographic, clinical and functional profiles. A total of 114 patients with Schizophrenia Spectrum Disorders were included in the present study. We assessed subjects through psychiatric scales and eight neuropsychological tests at baseline and at two-year follow-up visit. We performed the Partition Around Medoids algorithm with all cognitive variables. Furthermore, we performed a logistic regression to identify the predictors related to the different cognitive clusters at follow-up. Two distinct subgroups were found: the first cluster characterized by cognitive impairment and a second cluster had relatively intact cognition in comparison with norms. Up to 54.7% of patients with cognitive deficits at baseline tended to improve during the first two years of treatment. Patients with intact cognition at follow-up had a higher socioeconomic status, later age of onset, lower negative symptoms and a higher cognitive reserve (CR) at baseline. CR and age of onset were the baseline variables that predicted cognitive impairment. This research allows us to obtain a better understanding of the heterogeneous profile of psychotic disorders. Identifying the characteristics of patients who will present a cognitive impairment could improve early detection and intervention. These results suggest that enhancing CR could contribute to improving the course of the illness. |
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Amoretti, SilviaPonte, Francisco Diego Rabelo daRosa, Adriane RibeiroMezquida, GiselaTorres, Ana M. SánchezFraguas, DavidCabrera, BibianaLobo, AntonioGonzález-Pinto, AnaPina-Camacho, LauraCorripio, IluminadaVieta, EduardTorrent, CarlaLa Serna, Elena deBergé, DanielBioque, MiquelGarriga, MarinaSerra-Navarro, MariaCuesta, Manuel Jesús LópezBernardo, Miquel2022-09-16T05:00:17Z20210920-9964http://hdl.handle.net/10183/248989001146804Impairments in a broad range of cognitive domains have been consistently reported in some individuals with first-episode psychosis (FEP). Cognitive deficits can be observed during the prodromal stage. However, the course of cognitive deficits is still unclear. The aim of this study was to identify cognitive subgroups over time and to compare their sociodemographic, clinical and functional profiles. A total of 114 patients with Schizophrenia Spectrum Disorders were included in the present study. We assessed subjects through psychiatric scales and eight neuropsychological tests at baseline and at two-year follow-up visit. We performed the Partition Around Medoids algorithm with all cognitive variables. Furthermore, we performed a logistic regression to identify the predictors related to the different cognitive clusters at follow-up. Two distinct subgroups were found: the first cluster characterized by cognitive impairment and a second cluster had relatively intact cognition in comparison with norms. Up to 54.7% of patients with cognitive deficits at baseline tended to improve during the first two years of treatment. Patients with intact cognition at follow-up had a higher socioeconomic status, later age of onset, lower negative symptoms and a higher cognitive reserve (CR) at baseline. CR and age of onset were the baseline variables that predicted cognitive impairment. This research allows us to obtain a better understanding of the heterogeneous profile of psychotic disorders. Identifying the characteristics of patients who will present a cognitive impairment could improve early detection and intervention. These results suggest that enhancing CR could contribute to improving the course of the illness.application/pdfengSchizophrenia research. Amsterdam. Vol. 237 (Nov. 2021), p. 31-39CogniçãoTranstornos psicóticosDisfunção cognitivaAnálise por conglomeradosFirst episodeCognitive reserveCognitionNeuropsychologyEarly interventionCognitive clusters in first-episode psychosisEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001146804.pdf.txt001146804.pdf.txtExtracted Texttext/plain60590http://www.lume.ufrgs.br/bitstream/10183/248989/2/001146804.pdf.txt8e1f63d7282eea0730225d81cb709f81MD52ORIGINAL001146804.pdfTexto completo (inglês)application/pdf892859http://www.lume.ufrgs.br/bitstream/10183/248989/1/001146804.pdf5fda39ed44fe4fc1403aae1d589e8a56MD5110183/2489892022-09-17 05:31:53.966oai:www.lume.ufrgs.br:10183/248989Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2022-09-17T08:31:53Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Cognitive clusters in first-episode psychosis |
title |
Cognitive clusters in first-episode psychosis |
spellingShingle |
Cognitive clusters in first-episode psychosis Amoretti, Silvia Cognição Transtornos psicóticos Disfunção cognitiva Análise por conglomerados First episode Cognitive reserve Cognition Neuropsychology Early intervention |
title_short |
Cognitive clusters in first-episode psychosis |
title_full |
Cognitive clusters in first-episode psychosis |
title_fullStr |
Cognitive clusters in first-episode psychosis |
title_full_unstemmed |
Cognitive clusters in first-episode psychosis |
title_sort |
Cognitive clusters in first-episode psychosis |
author |
Amoretti, Silvia |
author_facet |
Amoretti, Silvia Ponte, Francisco Diego Rabelo da Rosa, Adriane Ribeiro Mezquida, Gisela Torres, Ana M. Sánchez Fraguas, David Cabrera, Bibiana Lobo, Antonio González-Pinto, Ana Pina-Camacho, Laura Corripio, Iluminada Vieta, Eduard Torrent, Carla La Serna, Elena de Bergé, Daniel Bioque, Miquel Garriga, Marina Serra-Navarro, Maria Cuesta, Manuel Jesús López Bernardo, Miquel |
author_role |
author |
author2 |
Ponte, Francisco Diego Rabelo da Rosa, Adriane Ribeiro Mezquida, Gisela Torres, Ana M. Sánchez Fraguas, David Cabrera, Bibiana Lobo, Antonio González-Pinto, Ana Pina-Camacho, Laura Corripio, Iluminada Vieta, Eduard Torrent, Carla La Serna, Elena de Bergé, Daniel Bioque, Miquel Garriga, Marina Serra-Navarro, Maria Cuesta, Manuel Jesús López Bernardo, Miquel |
author2_role |
author author author author author author author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Amoretti, Silvia Ponte, Francisco Diego Rabelo da Rosa, Adriane Ribeiro Mezquida, Gisela Torres, Ana M. Sánchez Fraguas, David Cabrera, Bibiana Lobo, Antonio González-Pinto, Ana Pina-Camacho, Laura Corripio, Iluminada Vieta, Eduard Torrent, Carla La Serna, Elena de Bergé, Daniel Bioque, Miquel Garriga, Marina Serra-Navarro, Maria Cuesta, Manuel Jesús López Bernardo, Miquel |
dc.subject.por.fl_str_mv |
Cognição Transtornos psicóticos Disfunção cognitiva Análise por conglomerados |
topic |
Cognição Transtornos psicóticos Disfunção cognitiva Análise por conglomerados First episode Cognitive reserve Cognition Neuropsychology Early intervention |
dc.subject.eng.fl_str_mv |
First episode Cognitive reserve Cognition Neuropsychology Early intervention |
description |
Impairments in a broad range of cognitive domains have been consistently reported in some individuals with first-episode psychosis (FEP). Cognitive deficits can be observed during the prodromal stage. However, the course of cognitive deficits is still unclear. The aim of this study was to identify cognitive subgroups over time and to compare their sociodemographic, clinical and functional profiles. A total of 114 patients with Schizophrenia Spectrum Disorders were included in the present study. We assessed subjects through psychiatric scales and eight neuropsychological tests at baseline and at two-year follow-up visit. We performed the Partition Around Medoids algorithm with all cognitive variables. Furthermore, we performed a logistic regression to identify the predictors related to the different cognitive clusters at follow-up. Two distinct subgroups were found: the first cluster characterized by cognitive impairment and a second cluster had relatively intact cognition in comparison with norms. Up to 54.7% of patients with cognitive deficits at baseline tended to improve during the first two years of treatment. Patients with intact cognition at follow-up had a higher socioeconomic status, later age of onset, lower negative symptoms and a higher cognitive reserve (CR) at baseline. CR and age of onset were the baseline variables that predicted cognitive impairment. This research allows us to obtain a better understanding of the heterogeneous profile of psychotic disorders. Identifying the characteristics of patients who will present a cognitive impairment could improve early detection and intervention. These results suggest that enhancing CR could contribute to improving the course of the illness. |
publishDate |
2021 |
dc.date.issued.fl_str_mv |
2021 |
dc.date.accessioned.fl_str_mv |
2022-09-16T05:00:17Z |
dc.type.driver.fl_str_mv |
Estrangeiro info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
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publishedVersion |
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http://hdl.handle.net/10183/248989 |
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0920-9964 |
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001146804 |
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0920-9964 001146804 |
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http://hdl.handle.net/10183/248989 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Schizophrenia research. Amsterdam. Vol. 237 (Nov. 2021), p. 31-39 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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