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MDR-TB treatment as prevention: The projected population-level impact of expanded treatment for multidrug-resistant tuberculosis

BACKGROUND: In 2013, approximately 480,000 people developed active multidrug-resistant tuberculosis (MDR-TB), while only 97,000 started MDR-TB treatment. We sought to estimate the impact of improving access to MDR-TB diagnosis and treatment, under multiple diagnostic algorithm and treatment regimen...

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Autores principales: Kendall, Emily A., Azman, Andrew S., Cobelens, Frank G., Dowdy, David W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5342197/
https://www.ncbi.nlm.nih.gov/pubmed/28273116
http://dx.doi.org/10.1371/journal.pone.0172748
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author Kendall, Emily A.
Azman, Andrew S.
Cobelens, Frank G.
Dowdy, David W.
author_facet Kendall, Emily A.
Azman, Andrew S.
Cobelens, Frank G.
Dowdy, David W.
author_sort Kendall, Emily A.
collection PubMed
description BACKGROUND: In 2013, approximately 480,000 people developed active multidrug-resistant tuberculosis (MDR-TB), while only 97,000 started MDR-TB treatment. We sought to estimate the impact of improving access to MDR-TB diagnosis and treatment, under multiple diagnostic algorithm and treatment regimen scenarios, on ten-year projections of MDR-TB incidence and mortality. METHODS: We constructed a dynamic transmission model of an MDR-TB epidemic in an illustrative East/Southeast Asian setting. Using approximate Bayesian computation, we investigated a wide array of potential epidemic trajectories consistent with current notification data and known TB epidemiology. RESULTS: Despite an overall projected decline in TB incidence, data-consistent simulations suggested that MDR-TB incidence is likely to rise between 2015 and 2025 under continued 2013 treatment practices, although with considerable uncertainty (median 17% increase, 95% Uncertainty Range [UR] -38% to +137%). But if, by 2017, all identified active TB patients with previously-treated TB could be tested for drug susceptibility, and 85% of those with MDR-TB could initiate MDR-appropriate treatment, then MDR-TB incidence in 2025 could be reduced by 26% (95% UR 4–52%) relative to projections under continued current practice. Also expanding this drug-susceptibility testing and appropriate MDR-TB treatment to treatment-naïve as well as previously-treated TB cases, by 2020, could reduce MDR-TB incidence in 2025 by 29% (95% UR 6–55%) compared to continued current practice. If this diagnosis and treatment of all MDR-TB in known active TB cases by 2020 could be implemented via a novel second-line regimen with similar effectiveness and tolerability as current first-line therapy, a 54% (95% UR 20–74%) reduction in MDR-TB incidence compared to current-practice projections could be achieved by 2025. CONCLUSIONS: Expansion of diagnosis and treatment of MDR-TB, even using current sub-optimal second-line regimens, is expected to significantly decrease MDR-TB incidence at the population level. Focusing MDR diagnostic efforts on previously-treated cases is an efficient first-step approach.
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spelling pubmed-53421972017-03-29 MDR-TB treatment as prevention: The projected population-level impact of expanded treatment for multidrug-resistant tuberculosis Kendall, Emily A. Azman, Andrew S. Cobelens, Frank G. Dowdy, David W. PLoS One Research Article BACKGROUND: In 2013, approximately 480,000 people developed active multidrug-resistant tuberculosis (MDR-TB), while only 97,000 started MDR-TB treatment. We sought to estimate the impact of improving access to MDR-TB diagnosis and treatment, under multiple diagnostic algorithm and treatment regimen scenarios, on ten-year projections of MDR-TB incidence and mortality. METHODS: We constructed a dynamic transmission model of an MDR-TB epidemic in an illustrative East/Southeast Asian setting. Using approximate Bayesian computation, we investigated a wide array of potential epidemic trajectories consistent with current notification data and known TB epidemiology. RESULTS: Despite an overall projected decline in TB incidence, data-consistent simulations suggested that MDR-TB incidence is likely to rise between 2015 and 2025 under continued 2013 treatment practices, although with considerable uncertainty (median 17% increase, 95% Uncertainty Range [UR] -38% to +137%). But if, by 2017, all identified active TB patients with previously-treated TB could be tested for drug susceptibility, and 85% of those with MDR-TB could initiate MDR-appropriate treatment, then MDR-TB incidence in 2025 could be reduced by 26% (95% UR 4–52%) relative to projections under continued current practice. Also expanding this drug-susceptibility testing and appropriate MDR-TB treatment to treatment-naïve as well as previously-treated TB cases, by 2020, could reduce MDR-TB incidence in 2025 by 29% (95% UR 6–55%) compared to continued current practice. If this diagnosis and treatment of all MDR-TB in known active TB cases by 2020 could be implemented via a novel second-line regimen with similar effectiveness and tolerability as current first-line therapy, a 54% (95% UR 20–74%) reduction in MDR-TB incidence compared to current-practice projections could be achieved by 2025. CONCLUSIONS: Expansion of diagnosis and treatment of MDR-TB, even using current sub-optimal second-line regimens, is expected to significantly decrease MDR-TB incidence at the population level. Focusing MDR diagnostic efforts on previously-treated cases is an efficient first-step approach. Public Library of Science 2017-03-08 /pmc/articles/PMC5342197/ /pubmed/28273116 http://dx.doi.org/10.1371/journal.pone.0172748 Text en © 2017 Kendall et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kendall, Emily A.
Azman, Andrew S.
Cobelens, Frank G.
Dowdy, David W.
MDR-TB treatment as prevention: The projected population-level impact of expanded treatment for multidrug-resistant tuberculosis
title MDR-TB treatment as prevention: The projected population-level impact of expanded treatment for multidrug-resistant tuberculosis
title_full MDR-TB treatment as prevention: The projected population-level impact of expanded treatment for multidrug-resistant tuberculosis
title_fullStr MDR-TB treatment as prevention: The projected population-level impact of expanded treatment for multidrug-resistant tuberculosis
title_full_unstemmed MDR-TB treatment as prevention: The projected population-level impact of expanded treatment for multidrug-resistant tuberculosis
title_short MDR-TB treatment as prevention: The projected population-level impact of expanded treatment for multidrug-resistant tuberculosis
title_sort mdr-tb treatment as prevention: the projected population-level impact of expanded treatment for multidrug-resistant tuberculosis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5342197/
https://www.ncbi.nlm.nih.gov/pubmed/28273116
http://dx.doi.org/10.1371/journal.pone.0172748
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