Predictores de remisión del trastorno depresivo mayor en tratamiento en el nivel secundario de atención

Background The knowledge of predictive factors in depression should help to deal with the disease. Aim To assess potential predictors of remission of major depressive disorders (MDD) in secondary care and to propose a predictive model. Material and Methods A 12 month follow-up study was conducted...

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Autores principales:	Salvo,Lilian, Saldivia,Sandra, Parra,Carlos, Cifuentes,Manuel, Bustos,Claudio, Acevedo,Paola, Díaz,Marcela, Ormazabal,Mitza, Guerra,Ivonne, Navarrete,Nicol, Bravo,Verónica, Castro,Andrea
Lenguaje:	Spanish / Castilian
Publicado:	Sociedad Médica de Santiago 2017
Materias:	Depression Outpatients Secondary Care
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872017001201514
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spelling	oai:scielo:S0034-988720170012015142018-04-06Predictores de remisión del trastorno depresivo mayor en tratamiento en el nivel secundario de atenciónSalvo,LilianSaldivia,SandraParra,CarlosCifuentes,ManuelBustos,ClaudioAcevedo,PaolaDíaz,MarcelaOrmazabal,MitzaGuerra,IvonneNavarrete,NicolBravo,VerónicaCastro,Andrea Depression Outpatients Secondary Care Background The knowledge of predictive factors in depression should help to deal with the disease. Aim To assess potential predictors of remission of major depressive disorders (MDD) in secondary care and to propose a predictive model. Material and Methods A 12 month follow-up study was conducted in a sample of 112 outpatients at three psychiatric care centers of Chile, with baseline and quarterly assessments. Demographic, psychosocial, clinical and treatment factors as potential predictors, were assessed. A clinical interview with the checklist of DSM-IV diagnostic criteria, the Hamilton Depression Scale and the List of Threatening Experiences and Multidimensional Scale of Perceived Social Support were applied. Results The number of stressful events, perceived social support, baseline depression scores, melancholic features, time prior to beginning treatment at the secondary level and psychotherapeutic sessions were included in the model as predictors of remission. Sex, age, number of previous depressive episodes, psychiatric comorbidity and medical comorbidity were not significantly related with remission. Conclusions This model allows to predict depression score at six months with 70% of accuracy and the score at 12 months with 72% of accuracy.info:eu-repo/semantics/openAccessSociedad Médica de SantiagoRevista médica de Chile v.145 n.12 20172017-12-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872017001201514es10.4067/s0034-98872017001201514
institution	Scielo Chile
collection	Scielo Chile
language	Spanish / Castilian
topic	Depression Outpatients Secondary Care
spellingShingle	Depression Outpatients Secondary Care Salvo,Lilian Saldivia,Sandra Parra,Carlos Cifuentes,Manuel Bustos,Claudio Acevedo,Paola Díaz,Marcela Ormazabal,Mitza Guerra,Ivonne Navarrete,Nicol Bravo,Verónica Castro,Andrea Predictores de remisión del trastorno depresivo mayor en tratamiento en el nivel secundario de atención
description	Background The knowledge of predictive factors in depression should help to deal with the disease. Aim To assess potential predictors of remission of major depressive disorders (MDD) in secondary care and to propose a predictive model. Material and Methods A 12 month follow-up study was conducted in a sample of 112 outpatients at three psychiatric care centers of Chile, with baseline and quarterly assessments. Demographic, psychosocial, clinical and treatment factors as potential predictors, were assessed. A clinical interview with the checklist of DSM-IV diagnostic criteria, the Hamilton Depression Scale and the List of Threatening Experiences and Multidimensional Scale of Perceived Social Support were applied. Results The number of stressful events, perceived social support, baseline depression scores, melancholic features, time prior to beginning treatment at the secondary level and psychotherapeutic sessions were included in the model as predictors of remission. Sex, age, number of previous depressive episodes, psychiatric comorbidity and medical comorbidity were not significantly related with remission. Conclusions This model allows to predict depression score at six months with 70% of accuracy and the score at 12 months with 72% of accuracy.
author	Salvo,Lilian Saldivia,Sandra Parra,Carlos Cifuentes,Manuel Bustos,Claudio Acevedo,Paola Díaz,Marcela Ormazabal,Mitza Guerra,Ivonne Navarrete,Nicol Bravo,Verónica Castro,Andrea
author_facet	Salvo,Lilian Saldivia,Sandra Parra,Carlos Cifuentes,Manuel Bustos,Claudio Acevedo,Paola Díaz,Marcela Ormazabal,Mitza Guerra,Ivonne Navarrete,Nicol Bravo,Verónica Castro,Andrea
author_sort	Salvo,Lilian
title	Predictores de remisión del trastorno depresivo mayor en tratamiento en el nivel secundario de atención
title_short	Predictores de remisión del trastorno depresivo mayor en tratamiento en el nivel secundario de atención
title_full	Predictores de remisión del trastorno depresivo mayor en tratamiento en el nivel secundario de atención
title_fullStr	Predictores de remisión del trastorno depresivo mayor en tratamiento en el nivel secundario de atención
title_full_unstemmed	Predictores de remisión del trastorno depresivo mayor en tratamiento en el nivel secundario de atención
title_sort	predictores de remisión del trastorno depresivo mayor en tratamiento en el nivel secundario de atención
publisher	Sociedad Médica de Santiago
publishDate	2017
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872017001201514
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Predictores de remisión del trastorno depresivo mayor en tratamiento en el nivel secundario de atención

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