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Global burden of latent multidrug-resistant tuberculosis: trends and estimates based on mathematical modelling
by
Houben, Rein M G J
, McQuaid, C Finn
, Dodd, Peter J
, Knight, Gwenan M
in
Adolescent
/ Adult
/ Antimicrobial agents
/ Charities
/ Child
/ Child, Preschool
/ Councils
/ Disease prevention
/ Drug resistance
/ Epidemics
/ Estimates
/ Female
/ Global Burden of Disease - statistics & numerical data
/ Global Burden of Disease - trends
/ Global Health
/ Health risks
/ Humans
/ Infant
/ Infections
/ Infectious diseases
/ Latent infection
/ Latent Tuberculosis - drug therapy
/ Latent Tuberculosis - epidemiology
/ Male
/ Mathematical models
/ Medical research
/ Middle Aged
/ Models, Theoretical
/ Multidrug resistance
/ Multidrug resistant organisms
/ Mycobacterium tuberculosis - isolation & purification
/ Population Surveillance
/ Prevalence
/ Risk
/ Statistical models
/ Trends
/ Tuberculosis
/ Tuberculosis, Multidrug-Resistant - drug therapy
/ Tuberculosis, Multidrug-Resistant - epidemiology
2019
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Global burden of latent multidrug-resistant tuberculosis: trends and estimates based on mathematical modelling
by
Houben, Rein M G J
, McQuaid, C Finn
, Dodd, Peter J
, Knight, Gwenan M
in
Adolescent
/ Adult
/ Antimicrobial agents
/ Charities
/ Child
/ Child, Preschool
/ Councils
/ Disease prevention
/ Drug resistance
/ Epidemics
/ Estimates
/ Female
/ Global Burden of Disease - statistics & numerical data
/ Global Burden of Disease - trends
/ Global Health
/ Health risks
/ Humans
/ Infant
/ Infections
/ Infectious diseases
/ Latent infection
/ Latent Tuberculosis - drug therapy
/ Latent Tuberculosis - epidemiology
/ Male
/ Mathematical models
/ Medical research
/ Middle Aged
/ Models, Theoretical
/ Multidrug resistance
/ Multidrug resistant organisms
/ Mycobacterium tuberculosis - isolation & purification
/ Population Surveillance
/ Prevalence
/ Risk
/ Statistical models
/ Trends
/ Tuberculosis
/ Tuberculosis, Multidrug-Resistant - drug therapy
/ Tuberculosis, Multidrug-Resistant - epidemiology
2019
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Global burden of latent multidrug-resistant tuberculosis: trends and estimates based on mathematical modelling
by
Houben, Rein M G J
, McQuaid, C Finn
, Dodd, Peter J
, Knight, Gwenan M
in
Adolescent
/ Adult
/ Antimicrobial agents
/ Charities
/ Child
/ Child, Preschool
/ Councils
/ Disease prevention
/ Drug resistance
/ Epidemics
/ Estimates
/ Female
/ Global Burden of Disease - statistics & numerical data
/ Global Burden of Disease - trends
/ Global Health
/ Health risks
/ Humans
/ Infant
/ Infections
/ Infectious diseases
/ Latent infection
/ Latent Tuberculosis - drug therapy
/ Latent Tuberculosis - epidemiology
/ Male
/ Mathematical models
/ Medical research
/ Middle Aged
/ Models, Theoretical
/ Multidrug resistance
/ Multidrug resistant organisms
/ Mycobacterium tuberculosis - isolation & purification
/ Population Surveillance
/ Prevalence
/ Risk
/ Statistical models
/ Trends
/ Tuberculosis
/ Tuberculosis, Multidrug-Resistant - drug therapy
/ Tuberculosis, Multidrug-Resistant - epidemiology
2019
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Global burden of latent multidrug-resistant tuberculosis: trends and estimates based on mathematical modelling
Journal Article
Global burden of latent multidrug-resistant tuberculosis: trends and estimates based on mathematical modelling
2019
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Overview
To end the global tuberculosis epidemic, latent tuberculosis infection needs to be addressed. All standard treatments for latent tuberculosis contain drugs to which multidrug-resistant (MDR) Mycobacterium tuberculosis is resistant. We aimed to estimate the global burden of multidrug-resistant latent tuberculosis infection to inform tuberculosis elimination policy.
By fitting a flexible statistical model to tuberculosis drug resistance surveillance and survey data collated by WHO, we estimated national trends in the proportion of new tuberculosis cases that were caused by MDR strains. We used these data as a proxy for the proportion of new infections caused by MDR M tuberculosis and multiplied trends in annual risk of infection from previous estimates of the burden of latent tuberculosis to generate trends in the annual risk of infection with MDR M tuberculosis. These estimates were used in a cohort model to estimate changes in the global and national prevalence of latent infection with MDR M tuberculosis. We also estimated recent infection levels (ie, in 2013 and 2014) and made predictions for the future burden of MDR tuberculosis in 2035 and 2050.
19·1 million (95% uncertainty interval [UI] 16·4 million–21·7 million) people were latently infected with MDR tuberculosis in 2014—a global prevalence of 0·3% (95% UI 0·2–0·3). MDR strains accounted for 1·2% (95% UI 1·0–1·4) of the total latent tuberculosis burden overall, but for 2·9% (95% UI 2·6–3·1) of the burden among children younger than 15 years (risk ratio for those younger than 15 years vs those aged 15 years or older 2·65 [95% UI 2·11–3·25]). Recent latent infection with MDR M tuberculosis meant that 1·9 million (95% UI 1·7 million–2·3 million) people globally were at high risk of active MDR tuberculosis in 2015.
We estimate that three in every 1000 people globally carry latent MDR tuberculosis infection, and prevalence of MDR M tuberculosis in those with latent tuberculosis infection is more than double among those younger than 15 years. If current trends continue, the proportion of latent tuberculosis caused by MDR strains will increase, which will pose serious challenges for management of latent tuberculosis—a cornerstone of tuberculosis elimination strategies.
UK Medical Research Council, Bill & Melinda Gates Foundation, and European Research Council.
Publisher
Elsevier Ltd,Elsevier Limited,Elsevier Science ;, The Lancet Pub. Group
Subject
/ Adult
/ Child
/ Councils
/ Female
/ Global Burden of Disease - statistics & numerical data
/ Global Burden of Disease - trends
/ Humans
/ Infant
/ Latent Tuberculosis - drug therapy
/ Latent Tuberculosis - epidemiology
/ Male
/ Multidrug resistant organisms
/ Mycobacterium tuberculosis - isolation & purification
/ Risk
/ Trends
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