Predictive model of response to tafamidis in hereditary ATTR polyneuropathy
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.16/2403 |
Resumo: | BACKGROUNDThe hereditary transthyretin (TTR) amyloidoses are a group of diseases for which several disease-modifying treatments are now available. Long-term effectiveness of these therapies is not yet fully known. Moreover, the existence of alternative therapies has resulted in an urgent need to identify patient characteristics that predict response to each therapy.METHODSWe carried out a retrospective cohort study of 210 patients with hereditary TTR amyloidosis treated with the kinetic stabilizer tafamidis (20 mg qd). These patients were followed for a period of 18-66 months, after which they were classified by an expert as responders, partial responders, or nonresponders. Correlations between baseline demographic and clinical characteristics, as well as plasma biomarkers and response to therapy, were investigated.RESULTS34% of patients exhibited an almost complete arrest of disease progression (classified by an expert as responders); 36% had a partial to complete arrest in progression of some but not all disease components (partial responders); whereas the remaining 30% continued progressing despite therapy (nonresponders). We determined that disease severity, sex, and native TTR concentration at the outset of treatment were the most relevant predictors of response to tafamidis. Plasma tafamidis concentration after 12 months of therapy was also a predictor of response for male patients. Using these variables, we built a model to predict responsiveness to tafamidis.CONCLUSIONOur study indicates long-term effectiveness for tafamidis, a kinetic stabilizer approved for the treatment of hereditary TTR amyloidosis. Moreover, we created a predictive model that can be potentially used in the clinical setting to inform patients and clinicians in their therapeutic decisions. |
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Predictive model of response to tafamidis in hereditary ATTR polyneuropathyGenetic diseasesNeuromuscular diseaseNeuroscienceProtein misfoldingTherapeuticsBACKGROUNDThe hereditary transthyretin (TTR) amyloidoses are a group of diseases for which several disease-modifying treatments are now available. Long-term effectiveness of these therapies is not yet fully known. Moreover, the existence of alternative therapies has resulted in an urgent need to identify patient characteristics that predict response to each therapy.METHODSWe carried out a retrospective cohort study of 210 patients with hereditary TTR amyloidosis treated with the kinetic stabilizer tafamidis (20 mg qd). These patients were followed for a period of 18-66 months, after which they were classified by an expert as responders, partial responders, or nonresponders. Correlations between baseline demographic and clinical characteristics, as well as plasma biomarkers and response to therapy, were investigated.RESULTS34% of patients exhibited an almost complete arrest of disease progression (classified by an expert as responders); 36% had a partial to complete arrest in progression of some but not all disease components (partial responders); whereas the remaining 30% continued progressing despite therapy (nonresponders). We determined that disease severity, sex, and native TTR concentration at the outset of treatment were the most relevant predictors of response to tafamidis. Plasma tafamidis concentration after 12 months of therapy was also a predictor of response for male patients. Using these variables, we built a model to predict responsiveness to tafamidis.CONCLUSIONOur study indicates long-term effectiveness for tafamidis, a kinetic stabilizer approved for the treatment of hereditary TTR amyloidosis. Moreover, we created a predictive model that can be potentially used in the clinical setting to inform patients and clinicians in their therapeutic decisions.American Society for Clinical InvestigationRepositório Científico do Centro Hospitalar Universitário de Santo AntónioMonteiro, C.Mesgazardeh, J.Anselmo, J.Fernandes, J.Novais, M.Rodrigues, C.Brighty, G.Powers, D.Powers, E.Coelho, T.Kelly, J.2020-05-22T17:43:00Z2019-06-202019-06-20T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.16/2403engMonteiro C, Mesgazardeh JS, Anselmo J, et al. Predictive model of response to tafamidis in hereditary ATTR polyneuropathy. JCI Insight. 2019;4(12):e126526. Published 2019 Jun 20. doi:10.1172/jci.insight.1265262379-370810.1172/jci.insight.126526info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-10-20T11:00:34Zoai:repositorio.chporto.pt:10400.16/2403Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:38:36.302738Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Predictive model of response to tafamidis in hereditary ATTR polyneuropathy |
title |
Predictive model of response to tafamidis in hereditary ATTR polyneuropathy |
spellingShingle |
Predictive model of response to tafamidis in hereditary ATTR polyneuropathy Monteiro, C. Genetic diseases Neuromuscular disease Neuroscience Protein misfolding Therapeutics |
title_short |
Predictive model of response to tafamidis in hereditary ATTR polyneuropathy |
title_full |
Predictive model of response to tafamidis in hereditary ATTR polyneuropathy |
title_fullStr |
Predictive model of response to tafamidis in hereditary ATTR polyneuropathy |
title_full_unstemmed |
Predictive model of response to tafamidis in hereditary ATTR polyneuropathy |
title_sort |
Predictive model of response to tafamidis in hereditary ATTR polyneuropathy |
author |
Monteiro, C. |
author_facet |
Monteiro, C. Mesgazardeh, J. Anselmo, J. Fernandes, J. Novais, M. Rodrigues, C. Brighty, G. Powers, D. Powers, E. Coelho, T. Kelly, J. |
author_role |
author |
author2 |
Mesgazardeh, J. Anselmo, J. Fernandes, J. Novais, M. Rodrigues, C. Brighty, G. Powers, D. Powers, E. Coelho, T. Kelly, J. |
author2_role |
author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Repositório Científico do Centro Hospitalar Universitário de Santo António |
dc.contributor.author.fl_str_mv |
Monteiro, C. Mesgazardeh, J. Anselmo, J. Fernandes, J. Novais, M. Rodrigues, C. Brighty, G. Powers, D. Powers, E. Coelho, T. Kelly, J. |
dc.subject.por.fl_str_mv |
Genetic diseases Neuromuscular disease Neuroscience Protein misfolding Therapeutics |
topic |
Genetic diseases Neuromuscular disease Neuroscience Protein misfolding Therapeutics |
description |
BACKGROUNDThe hereditary transthyretin (TTR) amyloidoses are a group of diseases for which several disease-modifying treatments are now available. Long-term effectiveness of these therapies is not yet fully known. Moreover, the existence of alternative therapies has resulted in an urgent need to identify patient characteristics that predict response to each therapy.METHODSWe carried out a retrospective cohort study of 210 patients with hereditary TTR amyloidosis treated with the kinetic stabilizer tafamidis (20 mg qd). These patients were followed for a period of 18-66 months, after which they were classified by an expert as responders, partial responders, or nonresponders. Correlations between baseline demographic and clinical characteristics, as well as plasma biomarkers and response to therapy, were investigated.RESULTS34% of patients exhibited an almost complete arrest of disease progression (classified by an expert as responders); 36% had a partial to complete arrest in progression of some but not all disease components (partial responders); whereas the remaining 30% continued progressing despite therapy (nonresponders). We determined that disease severity, sex, and native TTR concentration at the outset of treatment were the most relevant predictors of response to tafamidis. Plasma tafamidis concentration after 12 months of therapy was also a predictor of response for male patients. Using these variables, we built a model to predict responsiveness to tafamidis.CONCLUSIONOur study indicates long-term effectiveness for tafamidis, a kinetic stabilizer approved for the treatment of hereditary TTR amyloidosis. Moreover, we created a predictive model that can be potentially used in the clinical setting to inform patients and clinicians in their therapeutic decisions. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-06-20 2019-06-20T00:00:00Z 2020-05-22T17:43:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.16/2403 |
url |
http://hdl.handle.net/10400.16/2403 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Monteiro C, Mesgazardeh JS, Anselmo J, et al. Predictive model of response to tafamidis in hereditary ATTR polyneuropathy. JCI Insight. 2019;4(12):e126526. Published 2019 Jun 20. doi:10.1172/jci.insight.126526 2379-3708 10.1172/jci.insight.126526 |
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.publisher.none.fl_str_mv |
American Society for Clinical Investigation |
publisher.none.fl_str_mv |
American Society for Clinical Investigation |
dc.source.none.fl_str_mv |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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