Toward precision psychiatry in bipolar disorder : staging 2.0

Detalhes bibliográficos
Autor(a) principal: Salagre Muñoz, Estela
Data de Publicação: 2018
Outros Autores: Dodd, Seetal, Seguel, Alberto Ignacio Aedo, Rosa, Adriane Ribeiro, Guadall, Silvia Amoretti, Espinosa, Justo Emilio Pinzón, Reinares, Maria, Berk, Michael, Kapczinski, Flávio Pereira, Vieta, Eduard, Grande, Iria
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/187754
Resumo: Personalized treatment is defined as choosing the “right treatment for the right person at the right time.” Although psychiatry has not yet reached this level of precision, we are on the way thanks to recent technological developments that may aid to detect plausible molecular and genetic markers. At the moment there are some models that are contributing to precision psychiatry through the concept of staging. While staging was initially presented as a way to categorize patients according to clinical presentation, course, and illness severity, current stagingmodels integratemultiple levels of information that can help to define each patient’s characteristics, severity, and prognosis in a more precise and individualized way. Moreover, staging might serve as the foundation to create a clinical decision-making algorithm on the basis of the patient’s stage. In this review we will summarize the evolution of the bipolar disorder staging model in relation to the new discoveries on the neurobiology of bipolar disorder. Furthermore, we will discuss how the latest and future progress in psychiatry might transform current staging models into precision staging models.
id UFRGS-2_91d95924b7222221c215d7f735885c62
oai_identifier_str oai:www.lume.ufrgs.br:10183/187754
network_acronym_str UFRGS-2
network_name_str Repositório Institucional da UFRGS
repository_id_str
spelling Salagre Muñoz, EstelaDodd, SeetalSeguel, Alberto Ignacio AedoRosa, Adriane RibeiroGuadall, Silvia AmorettiEspinosa, Justo Emilio PinzónReinares, MariaBerk, MichaelKapczinski, Flávio PereiraVieta, EduardGrande, Iria2019-01-15T04:03:20Z20181664-0640http://hdl.handle.net/10183/187754001084325Personalized treatment is defined as choosing the “right treatment for the right person at the right time.” Although psychiatry has not yet reached this level of precision, we are on the way thanks to recent technological developments that may aid to detect plausible molecular and genetic markers. At the moment there are some models that are contributing to precision psychiatry through the concept of staging. While staging was initially presented as a way to categorize patients according to clinical presentation, course, and illness severity, current stagingmodels integratemultiple levels of information that can help to define each patient’s characteristics, severity, and prognosis in a more precise and individualized way. Moreover, staging might serve as the foundation to create a clinical decision-making algorithm on the basis of the patient’s stage. In this review we will summarize the evolution of the bipolar disorder staging model in relation to the new discoveries on the neurobiology of bipolar disorder. Furthermore, we will discuss how the latest and future progress in psychiatry might transform current staging models into precision staging models.application/pdfengFrontiers in psychiatry. Lausanne. Vol. 9 (Nov. 2018), 641, 15 p.Transtorno bipolarBiomarcadoresPrevenção de doençasPsiquiatriaBipolar disorderStagingBiomarkersPersonalized psychiatryPreventionToward precision psychiatry in bipolar disorder : staging 2.0Estrangeiroinfo: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:UFRGSTEXT001084325.pdf.txt001084325.pdf.txtExtracted Texttext/plain88902http://www.lume.ufrgs.br/bitstream/10183/187754/2/001084325.pdf.txtff38b395cd465258e086f7407acb894cMD52ORIGINAL001084325.pdfTexto completo (inglês)application/pdf935537http://www.lume.ufrgs.br/bitstream/10183/187754/1/001084325.pdf380398d8d4e8b0a44f1e0d354799bd9eMD5110183/1877542019-01-16 04:11:28.31617oai:www.lume.ufrgs.br:10183/187754Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2019-01-16T06:11:28Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv Toward precision psychiatry in bipolar disorder : staging 2.0
title Toward precision psychiatry in bipolar disorder : staging 2.0
spellingShingle Toward precision psychiatry in bipolar disorder : staging 2.0
Salagre Muñoz, Estela
Transtorno bipolar
Biomarcadores
Prevenção de doenças
Psiquiatria
Bipolar disorder
Staging
Biomarkers
Personalized psychiatry
Prevention
title_short Toward precision psychiatry in bipolar disorder : staging 2.0
title_full Toward precision psychiatry in bipolar disorder : staging 2.0
title_fullStr Toward precision psychiatry in bipolar disorder : staging 2.0
title_full_unstemmed Toward precision psychiatry in bipolar disorder : staging 2.0
title_sort Toward precision psychiatry in bipolar disorder : staging 2.0
author Salagre Muñoz, Estela
author_facet Salagre Muñoz, Estela
Dodd, Seetal
Seguel, Alberto Ignacio Aedo
Rosa, Adriane Ribeiro
Guadall, Silvia Amoretti
Espinosa, Justo Emilio Pinzón
Reinares, Maria
Berk, Michael
Kapczinski, Flávio Pereira
Vieta, Eduard
Grande, Iria
author_role author
author2 Dodd, Seetal
Seguel, Alberto Ignacio Aedo
Rosa, Adriane Ribeiro
Guadall, Silvia Amoretti
Espinosa, Justo Emilio Pinzón
Reinares, Maria
Berk, Michael
Kapczinski, Flávio Pereira
Vieta, Eduard
Grande, Iria
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Salagre Muñoz, Estela
Dodd, Seetal
Seguel, Alberto Ignacio Aedo
Rosa, Adriane Ribeiro
Guadall, Silvia Amoretti
Espinosa, Justo Emilio Pinzón
Reinares, Maria
Berk, Michael
Kapczinski, Flávio Pereira
Vieta, Eduard
Grande, Iria
dc.subject.por.fl_str_mv Transtorno bipolar
Biomarcadores
Prevenção de doenças
Psiquiatria
topic Transtorno bipolar
Biomarcadores
Prevenção de doenças
Psiquiatria
Bipolar disorder
Staging
Biomarkers
Personalized psychiatry
Prevention
dc.subject.eng.fl_str_mv Bipolar disorder
Staging
Biomarkers
Personalized psychiatry
Prevention
description Personalized treatment is defined as choosing the “right treatment for the right person at the right time.” Although psychiatry has not yet reached this level of precision, we are on the way thanks to recent technological developments that may aid to detect plausible molecular and genetic markers. At the moment there are some models that are contributing to precision psychiatry through the concept of staging. While staging was initially presented as a way to categorize patients according to clinical presentation, course, and illness severity, current stagingmodels integratemultiple levels of information that can help to define each patient’s characteristics, severity, and prognosis in a more precise and individualized way. Moreover, staging might serve as the foundation to create a clinical decision-making algorithm on the basis of the patient’s stage. In this review we will summarize the evolution of the bipolar disorder staging model in relation to the new discoveries on the neurobiology of bipolar disorder. Furthermore, we will discuss how the latest and future progress in psychiatry might transform current staging models into precision staging models.
publishDate 2018
dc.date.issued.fl_str_mv 2018
dc.date.accessioned.fl_str_mv 2019-01-15T04:03:20Z
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
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10183/187754
dc.identifier.issn.pt_BR.fl_str_mv 1664-0640
dc.identifier.nrb.pt_BR.fl_str_mv 001084325
identifier_str_mv 1664-0640
001084325
url http://hdl.handle.net/10183/187754
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.pt_BR.fl_str_mv Frontiers in psychiatry. Lausanne. Vol. 9 (Nov. 2018), 641, 15 p.
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFRGS
instname:Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
instname_str Universidade Federal do Rio Grande do Sul (UFRGS)
instacron_str UFRGS
institution UFRGS
reponame_str Repositório Institucional da UFRGS
collection Repositório Institucional da UFRGS
bitstream.url.fl_str_mv http://www.lume.ufrgs.br/bitstream/10183/187754/2/001084325.pdf.txt
http://www.lume.ufrgs.br/bitstream/10183/187754/1/001084325.pdf
bitstream.checksum.fl_str_mv ff38b395cd465258e086f7407acb894c
380398d8d4e8b0a44f1e0d354799bd9e
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
repository.name.fl_str_mv Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)
repository.mail.fl_str_mv
_version_ 1801224960172097536