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  4. The global burden of drug-resistant tuberculosis in children: a mathematical model
 
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The global burden of drug-resistant tuberculosis in children: a mathematical model
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Accepted version
DR_burden_paper_R1r.docx (84.52 KB)
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Author(s)
Dodd, P
Sismanidis, C
Seddon, JA
Type
Journal Article
Abstract
Background: Following infection with M. tuberculosis, children are at increased risk of progression to tuberculosis disease; a condition that can be challenging to diagnose. New estimation approaches for children have highlighted the gap between incidence and notifications, and suggest there is much more isoniazid-resistant and multidrug-resistant (MDR) disease than is identified. No work has yet quantified the burden of drug-resistant infection, considered other types of drug-resistance, or accounted for sampling uncertainty.

Methods: We combined a mathematical model of tuberculosis in children with an analysis of drug-resistance patterns to produce country-level, regional, and global estimates of drug-resistant infection and disease. We estimated the proportions of tuberculosis cases at a country-level with: isoniazid-monoresistance (HMR), rifampicin mono-resistance, MDR, fluoroquinolone-resistant MDR, second-line injectable resistant MDR, and MDR with resistance to both a fluoroquinolone and a second-line injectable (XDR).

Findings: We estimate 850,000 children developed tuberculosis in 2014; 58,000 with HMR-tuberculosis, 25,000 with MDR-tuberculosis, and 1,200 with XDR-tuberculosis. We estimate 67 million children are infected with M. tuberculosis; 5 million with HMR, 2 million with MDR, and 100,000 with XDR. Africa and South-East Asia have the highest numbers of tuberculosis in children, but WHO EMR, EUR and WPR regions also contribute substantially to the burden of drug-resistant tuberculosis due to their much higher proportions of resistance.

Interpretation: Far more drug-resistant tuberculosis occurs in children than is diagnosed, and there is a large pool of drug-resistant infection. This has implications for approaches to empiric treatment and preventive therapy in some regions.
Date Issued
2016-10-01
Date Acceptance
2016-05-17
Citation
Lancet Infectious Diseases, 2016, 16 (10), pp.1193-1201
URI
http://hdl.handle.net/10044/1/32706
DOI
https://www.dx.doi.org/10.1016/S1473-3099(16)30132-3
ISSN
1473-3099
Publisher
Elsevier: Lancet
Start Page
1193
End Page
1201
Journal / Book Title
Lancet Infectious Diseases
Volume
16
Issue
10
Copyright Statement
© 2016, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Subjects
Microbiology
1103 Clinical Sciences
1108 Medical Microbiology
Publication Status
Published
Date Publish Online
2016-06-21
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