Drug-resistant tuberculosis in 2017: At a crossroads

Published Date:

01/31/2019

Source:

Lancet Respir Med

Authors:

Dowdy DW, Theron G, Tornheim JA, Kendall EA

External link

Original Article

In this issue of The Lancet Respiratory Medicine, Dheda and colleagues present one of the most comprehensive pictures to date of the global epidemic of drug-resistant tuberculosis (DR TB).1 This comes at a time of increasing awareness of antimicrobial resistance as a global threat2 – and TB has had a 50-year head start in developing resistance to current first-line therapy. In reading about such phenomena as compensatory mutations, increasing prevalence of incurable TB, and widespread transmission of DR TB, it is easy to become disheartened. If – as suggested in modeling studies3 and recently demonstrated in KwaZulu-Natal, South Africa4 – the majority of new multidrug-resistant (MDR) and extensively drug-resistant TB cases now reflect transmission in communities rather than acquisition during treatment – is there any hope for preventing the eventual replacement of all TB by drug-resistant strains?

Events

«

August 2020

»
S
M
T
W
T
F
S
·
·
·
·
·
·
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
·
·
·
·
·

Projects

mHealth for improved TB contact investigation...

This multicenter randomized study is evaluating the implementation, effectiveness, cost-effectiveness, and population-level...

Read More

The role of cell wall lipids in pathogenesis...

This study will use a combination of transcriptional, lipidomic, genetic, and imaging techniques to investigate whether...

Read More

FlexDx-TB: A flexible, user-friendly model of...

We have developed a web-based model that allows decision-makers to input local epidemiological and economic values and receive...

Read More

Understanding the role of repeat testing and...

We have developed a Markov model of serial IGRA testing to help improve testing algorithms with TST vs. IGRA in low-risk...

Read More

TB Modeling and Analysis Consortium

The TB MAC brings TB modelers together from a wide range of institutions to answer questions of global policy relevance.  I...

Read More