Validation of a treatment algorithm for major depression in an older Brazilian sample

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art_RIBEIZ_Validation_of_a_treatment_algorithm_for_major_depression_2013.PDF (150.09 KB)
Citações na Scopus
4
Tipo de produção
article
Data de publicação
2013
Editora
WILEY-BLACKWELL
DOI
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Scopus
Web of Science
PubMed
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Título do Volume
Autores
MARTINS, Camila B.
MOSCOSO, Marco A. A.
STEFFENS, David C.
Autor de Grupo de pesquisa
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Citação
INTERNATIONAL JOURNAL OF GERIATRIC PSYCHIATRY, v.28, n.6, p.647-653, 2013
Projetos de Pesquisa
Unidades Organizacionais
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Resumo
Objective The aim of this study was to investigate the effectiveness of a modified version of the Duke Somatic Algorithm Treatment for Geriatric Depression (STAGED) in a Brazilian sample of older patients with major depression. Besides, we aimed to investigate possible baseline predictive factors for remission in this sample. Methods Sixty-seven depressed individuals were treated according to STAGED over 24 weeks in a prospective cohort design with follow-up. All patients had criteria for major depression and were at least 60 years of age at baseline enrollment. Results During this follow-up, 56 patients could be classified in remitted or not remitted group, 42.85% reached remission, and 57.14% did not reach remission. These results are even better than those found in the original study, probably due to the lower baseline depression severity of our sample. When baseline characteristics were compared between remitted and not remitted groups, scores of Mini Mental State Examination and Cambridge Cognitive Examination (CAMCOG) were the only variables with statistical significant difference (p<0.05) between groups. Logistic regression analysis was carried out to try to predict remission and statistical significance (p<0.05) was found only for baseline MMSE scores. It may mean that patients with mixed cognitive disorders and mood disorders have a worse course of depression. Conclusions This version of STAGED seems to be a useful strategy for treatment of depression in late life. Baseline general cognitive performance might be useful to predict remission of depression in older patients with mild to moderate depression. Further research with different population characteristics should be conducted in order to evaluate its usefulness and feasibility in different settings.
Palavras-chave
treatment algorithm, major depression and older patients, Brazilian sample, cognitive performance, response, remission, predictive factors
URI
https://observatorio.fm.usp.br/handle/OPI/2346
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Coleções
Artigos e Materiais de Revistas Científicas - HC/IPq
Artigos e Materiais de Revistas Científicas - LIM/21