Clinical predictors of response to immunomodulators for multiple sclerosis
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Arquivos de neuro-psiquiatria (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2012000100004 |
Resumo: | OBJECTIVES: To determine, based on clinical criteria, the proportion of multiple sclerosis (MS) patients responsive to immunomodulators (RI) and nonresponsive to immunomodulators (NRI), and to ascertain whether clinical and epidemiological data differs between RI and NRI patient groups. METHODS: Patients were assessed on rate of exarcerbations per year, for the period before and after commencement of treatment. The RI and NRI groups were compared for several clinical and epidemiological characteristics. DISCUSSION AND CONCLUSION: A total of 31.4% of the patients were nonresponders to the immunomodulatory treatment. The main predictors of immunomodulatory response were early diagnostic and commencement of therapy and high rate of annual exacerbations prior to treatment. Given the arsenal of medication options available for MS management, screening potential candidates for different therapeutic approaches are critical to optimize evolution of patients with the disease. |
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Arquivos de neuro-psiquiatria (Online) |
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Clinical predictors of response to immunomodulators for multiple sclerosismultiple sclerosisimmunomodulatorspredictorsOBJECTIVES: To determine, based on clinical criteria, the proportion of multiple sclerosis (MS) patients responsive to immunomodulators (RI) and nonresponsive to immunomodulators (NRI), and to ascertain whether clinical and epidemiological data differs between RI and NRI patient groups. METHODS: Patients were assessed on rate of exarcerbations per year, for the period before and after commencement of treatment. The RI and NRI groups were compared for several clinical and epidemiological characteristics. DISCUSSION AND CONCLUSION: A total of 31.4% of the patients were nonresponders to the immunomodulatory treatment. The main predictors of immunomodulatory response were early diagnostic and commencement of therapy and high rate of annual exacerbations prior to treatment. Given the arsenal of medication options available for MS management, screening potential candidates for different therapeutic approaches are critical to optimize evolution of patients with the disease.Academia Brasileira de Neurologia - ABNEURO2012-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2012000100004Arquivos de Neuro-Psiquiatria v.70 n.1 2012reponame:Arquivos de neuro-psiquiatria (Online)instname:Academia Brasileira de Neurologiainstacron:ABNEURO10.1590/S0004-282X2012000100004info:eu-repo/semantics/openAccessOlival,Guilherme Sciascia doLima,Leonardo Ciciarelli PereiraLima,Gabriel Paiva SilvaTilbery,Charles Petereng2012-01-05T00:00:00Zoai:scielo:S0004-282X2012000100004Revistahttp://www.scielo.br/anphttps://old.scielo.br/oai/scielo-oai.php||revista.arquivos@abneuro.org1678-42270004-282Xopendoar:2012-01-05T00:00Arquivos de neuro-psiquiatria (Online) - Academia Brasileira de Neurologiafalse |
dc.title.none.fl_str_mv |
Clinical predictors of response to immunomodulators for multiple sclerosis |
title |
Clinical predictors of response to immunomodulators for multiple sclerosis |
spellingShingle |
Clinical predictors of response to immunomodulators for multiple sclerosis Olival,Guilherme Sciascia do multiple sclerosis immunomodulators predictors |
title_short |
Clinical predictors of response to immunomodulators for multiple sclerosis |
title_full |
Clinical predictors of response to immunomodulators for multiple sclerosis |
title_fullStr |
Clinical predictors of response to immunomodulators for multiple sclerosis |
title_full_unstemmed |
Clinical predictors of response to immunomodulators for multiple sclerosis |
title_sort |
Clinical predictors of response to immunomodulators for multiple sclerosis |
author |
Olival,Guilherme Sciascia do |
author_facet |
Olival,Guilherme Sciascia do Lima,Leonardo Ciciarelli Pereira Lima,Gabriel Paiva Silva Tilbery,Charles Peter |
author_role |
author |
author2 |
Lima,Leonardo Ciciarelli Pereira Lima,Gabriel Paiva Silva Tilbery,Charles Peter |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Olival,Guilherme Sciascia do Lima,Leonardo Ciciarelli Pereira Lima,Gabriel Paiva Silva Tilbery,Charles Peter |
dc.subject.por.fl_str_mv |
multiple sclerosis immunomodulators predictors |
topic |
multiple sclerosis immunomodulators predictors |
description |
OBJECTIVES: To determine, based on clinical criteria, the proportion of multiple sclerosis (MS) patients responsive to immunomodulators (RI) and nonresponsive to immunomodulators (NRI), and to ascertain whether clinical and epidemiological data differs between RI and NRI patient groups. METHODS: Patients were assessed on rate of exarcerbations per year, for the period before and after commencement of treatment. The RI and NRI groups were compared for several clinical and epidemiological characteristics. DISCUSSION AND CONCLUSION: A total of 31.4% of the patients were nonresponders to the immunomodulatory treatment. The main predictors of immunomodulatory response were early diagnostic and commencement of therapy and high rate of annual exacerbations prior to treatment. Given the arsenal of medication options available for MS management, screening potential candidates for different therapeutic approaches are critical to optimize evolution of patients with the disease. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-01-01 |
dc.type.driver.fl_str_mv |
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://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2012000100004 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2012000100004 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0004-282X2012000100004 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Academia Brasileira de Neurologia - ABNEURO |
publisher.none.fl_str_mv |
Academia Brasileira de Neurologia - ABNEURO |
dc.source.none.fl_str_mv |
Arquivos de Neuro-Psiquiatria v.70 n.1 2012 reponame:Arquivos de neuro-psiquiatria (Online) instname:Academia Brasileira de Neurologia instacron:ABNEURO |
instname_str |
Academia Brasileira de Neurologia |
instacron_str |
ABNEURO |
institution |
ABNEURO |
reponame_str |
Arquivos de neuro-psiquiatria (Online) |
collection |
Arquivos de neuro-psiquiatria (Online) |
repository.name.fl_str_mv |
Arquivos de neuro-psiquiatria (Online) - Academia Brasileira de Neurologia |
repository.mail.fl_str_mv |
||revista.arquivos@abneuro.org |
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1754212772606902272 |