Predictive model of response to tafamidis in hereditary ATTR polyneuropathy

Detalhes bibliográficos
Autor(a) principal: Monteiro, C.
Data de Publicação: 2019
Outros Autores: Mesgazardeh, J., Anselmo, J., Fernandes, J., Novais, M., Rodrigues, C., Brighty, G., Powers, D., Powers, E., Coelho, T., Kelly, J.
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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spelling 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 reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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