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Predictive model of response to tafamidis in hereditary ATTR polyneuropathy.

Authors :
Monteiro C
Mesgazardeh JS
Anselmo J
Fernandes J
Novais M
Rodrigues C
Brighty GJ
Powers DL
Powers ET
Coelho T
Kelly JW
Source :
JCI insight [JCI Insight] 2019 Jun 20; Vol. 4 (12). Date of Electronic Publication: 2019 Jun 20 (Print Publication: 2019).
Publication Year :
2019

Abstract

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.

Details

Language :
English
ISSN :
2379-3708
Volume :
4
Issue :
12
Database :
MEDLINE
Journal :
JCI insight
Publication Type :
Academic Journal
Accession number :
31217346
Full Text :
https://doi.org/10.1172/jci.insight.126526