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Association of anti-tuberculosis drug concentrations in hair and treatment outcomes in MDR- and XDR-TB
Therapeutic drug monitoring for drug-resistant tuberculosis (TB) is likely to improve treatment outcomes. While assessments of plasma drug levels can explain pharmacokinetic variability among trial participants, these measures require phlebotomy and a cold chain, and are generally not repeated frequ...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
European Respiratory Society
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6484095/ https://www.ncbi.nlm.nih.gov/pubmed/31041318 http://dx.doi.org/10.1183/23120541.00046-2019 |
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author | Metcalfe, John Bacchetti, Peter Gerona, Roy Esmail, Ali Dheda, Keertan Gandhi, Monica |
author_facet | Metcalfe, John Bacchetti, Peter Gerona, Roy Esmail, Ali Dheda, Keertan Gandhi, Monica |
author_sort | Metcalfe, John |
collection | PubMed |
description | Therapeutic drug monitoring for drug-resistant tuberculosis (TB) is likely to improve treatment outcomes. While assessments of plasma drug levels can explain pharmacokinetic variability among trial participants, these measures require phlebotomy and a cold chain, and are generally not repeated frequently enough to characterise drug exposure over time. Using a novel multi-analyte assay, we found evidence that higher anti-TB drug concentrations in hair, a non-biohazardous and noninvasively collected biomatrix, predict extensively-drug resistant-TB clinical outcomes in a high-burden setting. |
format | Online Article Text |
id | pubmed-6484095 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | European Respiratory Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-64840952019-04-30 Association of anti-tuberculosis drug concentrations in hair and treatment outcomes in MDR- and XDR-TB Metcalfe, John Bacchetti, Peter Gerona, Roy Esmail, Ali Dheda, Keertan Gandhi, Monica ERJ Open Res Original Articles Therapeutic drug monitoring for drug-resistant tuberculosis (TB) is likely to improve treatment outcomes. While assessments of plasma drug levels can explain pharmacokinetic variability among trial participants, these measures require phlebotomy and a cold chain, and are generally not repeated frequently enough to characterise drug exposure over time. Using a novel multi-analyte assay, we found evidence that higher anti-TB drug concentrations in hair, a non-biohazardous and noninvasively collected biomatrix, predict extensively-drug resistant-TB clinical outcomes in a high-burden setting. European Respiratory Society 2019-04-26 /pmc/articles/PMC6484095/ /pubmed/31041318 http://dx.doi.org/10.1183/23120541.00046-2019 Text en Copyright ©ERS 2019 http://creativecommons.org/licenses/by-nc/4.0/This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0. |
spellingShingle | Original Articles Metcalfe, John Bacchetti, Peter Gerona, Roy Esmail, Ali Dheda, Keertan Gandhi, Monica Association of anti-tuberculosis drug concentrations in hair and treatment outcomes in MDR- and XDR-TB |
title | Association of anti-tuberculosis drug concentrations in hair and treatment outcomes in MDR- and XDR-TB |
title_full | Association of anti-tuberculosis drug concentrations in hair and treatment outcomes in MDR- and XDR-TB |
title_fullStr | Association of anti-tuberculosis drug concentrations in hair and treatment outcomes in MDR- and XDR-TB |
title_full_unstemmed | Association of anti-tuberculosis drug concentrations in hair and treatment outcomes in MDR- and XDR-TB |
title_short | Association of anti-tuberculosis drug concentrations in hair and treatment outcomes in MDR- and XDR-TB |
title_sort | association of anti-tuberculosis drug concentrations in hair and treatment outcomes in mdr- and xdr-tb |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6484095/ https://www.ncbi.nlm.nih.gov/pubmed/31041318 http://dx.doi.org/10.1183/23120541.00046-2019 |
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