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Characterization and prediction of individual functional outcome trajectories in schizophrenia spectrum disorders (PREDICTS study): Study protocol

Schizophrenia spectrum disorders (SSDs) are associated with significant functional impairments, disability, and low rates of personal recovery, along with tremendous economic costs linked primarily to lost productivity and premature mortality. Efforts to delineate the contributors to disability in S...

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Autores principales: Agarwal, Sri Mahavir, Dissanayake, Joel, Agid, Ofer, Bowie, Christopher, Brierley, Noah, Chintoh, Araba, De Luca, Vincenzo, Diaconescu, Andreea, Gerretsen, Philip, Graff-Guerrero, Ariel, Hawco, Colin, Herman, Yarissa, Hill, Sean, Hum, Kathryn, Husain, Muhammad Omair, Kennedy, James L., Kiang, Michael, Kidd, Sean, Kozloff, Nicole, Maslej, Marta, Mueller, Daniel J., Naeem, Farooq, Neufeld, Nicholas, Remington, Gary, Rotenberg, Martin, Selby, Peter, Siddiqui, Ishraq, Szacun-Shimizu, Kate, Tiwari, Arun K., Thirunavukkarasu, Shanthos, Wang, Wei, Yu, Joanna, Zai, Clement C., Zipursky, Robert, Hahn, Margaret, Foussias, George
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10513234/
https://www.ncbi.nlm.nih.gov/pubmed/37733693
http://dx.doi.org/10.1371/journal.pone.0288354
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author Agarwal, Sri Mahavir
Dissanayake, Joel
Agid, Ofer
Bowie, Christopher
Brierley, Noah
Chintoh, Araba
De Luca, Vincenzo
Diaconescu, Andreea
Gerretsen, Philip
Graff-Guerrero, Ariel
Hawco, Colin
Herman, Yarissa
Hill, Sean
Hum, Kathryn
Husain, Muhammad Omair
Kennedy, James L.
Kiang, Michael
Kidd, Sean
Kozloff, Nicole
Maslej, Marta
Mueller, Daniel J.
Naeem, Farooq
Neufeld, Nicholas
Remington, Gary
Rotenberg, Martin
Selby, Peter
Siddiqui, Ishraq
Szacun-Shimizu, Kate
Tiwari, Arun K.
Thirunavukkarasu, Shanthos
Wang, Wei
Yu, Joanna
Zai, Clement C.
Zipursky, Robert
Hahn, Margaret
Foussias, George
author_facet Agarwal, Sri Mahavir
Dissanayake, Joel
Agid, Ofer
Bowie, Christopher
Brierley, Noah
Chintoh, Araba
De Luca, Vincenzo
Diaconescu, Andreea
Gerretsen, Philip
Graff-Guerrero, Ariel
Hawco, Colin
Herman, Yarissa
Hill, Sean
Hum, Kathryn
Husain, Muhammad Omair
Kennedy, James L.
Kiang, Michael
Kidd, Sean
Kozloff, Nicole
Maslej, Marta
Mueller, Daniel J.
Naeem, Farooq
Neufeld, Nicholas
Remington, Gary
Rotenberg, Martin
Selby, Peter
Siddiqui, Ishraq
Szacun-Shimizu, Kate
Tiwari, Arun K.
Thirunavukkarasu, Shanthos
Wang, Wei
Yu, Joanna
Zai, Clement C.
Zipursky, Robert
Hahn, Margaret
Foussias, George
author_sort Agarwal, Sri Mahavir
collection PubMed
description Schizophrenia spectrum disorders (SSDs) are associated with significant functional impairments, disability, and low rates of personal recovery, along with tremendous economic costs linked primarily to lost productivity and premature mortality. Efforts to delineate the contributors to disability in SSDs have highlighted prominent roles for a diverse range of symptoms, physical health conditions, substance use disorders, neurobiological changes, and social factors. These findings have provided valuable advances in knowledge and helped define broad patterns of illness and outcomes across SSDs. Unsurprisingly, there have also been conflicting findings for many of these determinants that reflect the heterogeneous population of individuals with SSDs and the challenges of conceptualizing and treating SSDs as a unitary categorical construct. Presently it is not possible to identify the functional course on an individual level that would enable a personalized approach to treatment to alter the individual’s functional trajectory and mitigate the ensuing disability they would otherwise experience. To address this ongoing challenge, this study aims to conduct a longitudinal multimodal investigation of a large cohort of individuals with SSDs in order to establish discrete trajectories of personal recovery, disability, and community functioning, as well as the antecedents and predictors of these trajectories. This investigation will also provide the foundation for the co-design and testing of personalized interventions that alter these functional trajectories and improve outcomes for people with SSDs.
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spelling pubmed-105132342023-09-22 Characterization and prediction of individual functional outcome trajectories in schizophrenia spectrum disorders (PREDICTS study): Study protocol Agarwal, Sri Mahavir Dissanayake, Joel Agid, Ofer Bowie, Christopher Brierley, Noah Chintoh, Araba De Luca, Vincenzo Diaconescu, Andreea Gerretsen, Philip Graff-Guerrero, Ariel Hawco, Colin Herman, Yarissa Hill, Sean Hum, Kathryn Husain, Muhammad Omair Kennedy, James L. Kiang, Michael Kidd, Sean Kozloff, Nicole Maslej, Marta Mueller, Daniel J. Naeem, Farooq Neufeld, Nicholas Remington, Gary Rotenberg, Martin Selby, Peter Siddiqui, Ishraq Szacun-Shimizu, Kate Tiwari, Arun K. Thirunavukkarasu, Shanthos Wang, Wei Yu, Joanna Zai, Clement C. Zipursky, Robert Hahn, Margaret Foussias, George PLoS One Study Protocol Schizophrenia spectrum disorders (SSDs) are associated with significant functional impairments, disability, and low rates of personal recovery, along with tremendous economic costs linked primarily to lost productivity and premature mortality. Efforts to delineate the contributors to disability in SSDs have highlighted prominent roles for a diverse range of symptoms, physical health conditions, substance use disorders, neurobiological changes, and social factors. These findings have provided valuable advances in knowledge and helped define broad patterns of illness and outcomes across SSDs. Unsurprisingly, there have also been conflicting findings for many of these determinants that reflect the heterogeneous population of individuals with SSDs and the challenges of conceptualizing and treating SSDs as a unitary categorical construct. Presently it is not possible to identify the functional course on an individual level that would enable a personalized approach to treatment to alter the individual’s functional trajectory and mitigate the ensuing disability they would otherwise experience. To address this ongoing challenge, this study aims to conduct a longitudinal multimodal investigation of a large cohort of individuals with SSDs in order to establish discrete trajectories of personal recovery, disability, and community functioning, as well as the antecedents and predictors of these trajectories. This investigation will also provide the foundation for the co-design and testing of personalized interventions that alter these functional trajectories and improve outcomes for people with SSDs. Public Library of Science 2023-09-21 /pmc/articles/PMC10513234/ /pubmed/37733693 http://dx.doi.org/10.1371/journal.pone.0288354 Text en © 2023 Agarwal et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Study Protocol
Agarwal, Sri Mahavir
Dissanayake, Joel
Agid, Ofer
Bowie, Christopher
Brierley, Noah
Chintoh, Araba
De Luca, Vincenzo
Diaconescu, Andreea
Gerretsen, Philip
Graff-Guerrero, Ariel
Hawco, Colin
Herman, Yarissa
Hill, Sean
Hum, Kathryn
Husain, Muhammad Omair
Kennedy, James L.
Kiang, Michael
Kidd, Sean
Kozloff, Nicole
Maslej, Marta
Mueller, Daniel J.
Naeem, Farooq
Neufeld, Nicholas
Remington, Gary
Rotenberg, Martin
Selby, Peter
Siddiqui, Ishraq
Szacun-Shimizu, Kate
Tiwari, Arun K.
Thirunavukkarasu, Shanthos
Wang, Wei
Yu, Joanna
Zai, Clement C.
Zipursky, Robert
Hahn, Margaret
Foussias, George
Characterization and prediction of individual functional outcome trajectories in schizophrenia spectrum disorders (PREDICTS study): Study protocol
title Characterization and prediction of individual functional outcome trajectories in schizophrenia spectrum disorders (PREDICTS study): Study protocol
title_full Characterization and prediction of individual functional outcome trajectories in schizophrenia spectrum disorders (PREDICTS study): Study protocol
title_fullStr Characterization and prediction of individual functional outcome trajectories in schizophrenia spectrum disorders (PREDICTS study): Study protocol
title_full_unstemmed Characterization and prediction of individual functional outcome trajectories in schizophrenia spectrum disorders (PREDICTS study): Study protocol
title_short Characterization and prediction of individual functional outcome trajectories in schizophrenia spectrum disorders (PREDICTS study): Study protocol
title_sort characterization and prediction of individual functional outcome trajectories in schizophrenia spectrum disorders (predicts study): study protocol
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10513234/
https://www.ncbi.nlm.nih.gov/pubmed/37733693
http://dx.doi.org/10.1371/journal.pone.0288354
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