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Estimating the future burden of multidrug-resistant and extensively drug-resistant tuberculosis in India, the Philippines, Russia, and South Africa: a mathematical modelling study

Authors
 Aditya Sharma  ;  Andrew Hill  ;  Ekaterina Kurbatova  ;  Martie van der Walt  ;  Charlotte Kvasnovsky  ;  Thelma E Tupasi  ;  Janice C Caoili  ;  Maria Tarcela Gler  ;  Grigory V Volchenkov  ;  Boris Y Kazennyy  ;  Olga V Demikhova  ;  Jaime Bayona  ;  Carmen Contreras  ;  Martin Yagui  ;  Vaira Leimane  ;  Sang Nae Cho  ;  Hee Jin Kim  ;  Kai Kliiman  ;  Somsak Akksilp  ;  Ruwen Jou  ;  Julia Ershova  ;  Tracy Dalton  ;  Peter Cegielski  ;  Global Preserving Effective TB Treatment Study Investigators 
Citation
 LANCET INFECTIOUS DISEASES, Vol.17(7) : 707-715, 2017-07 
Journal Title
LANCET INFECTIOUS DISEASES
ISSN
 1473-3099 
Issue Date
2017-07
MeSH
Antitubercular Agents / therapeutic use* ; Asia ; Extensively Drug-Resistant Tuberculosis / drug therapy* ; Humans ; Models, Theoretical* ; Mycobacterium tuberculosis / drug effects ; Risk Factors ; Russia ; South Africa
Abstract
Background: Multidrug-resistant (MDR) and extensively drug-resistant (XDR) tuberculosis are emerging worldwide. The Green Light Committee initiative supported programmatic management of drug-resistant tuberculosis in 90 countries. We used estimates from the Preserving Effective TB Treatment Study to predict MDR and XDR tuberculosis trends in four countries with a high burden of MDR tuberculosis: India, the Philippines, Russia, and South Africa.

Methods: We calibrated a compartmental model to data from drug resistance surveys and WHO tuberculosis reports to forecast estimates of incident MDR and XDR tuberculosis and the percentage of incident MDR and XDR tuberculosis caused by acquired drug resistance, assuming no fitness cost of resistance from 2000 to 2040 in India, the Philippines, Russia, and South Africa.

Findings: The model forecasted the percentage of MDR tuberculosis among incident cases of tuberculosis to increase, reaching 12·4% (95% prediction interval 9·4-16·2) in India, 8·9% (4·5-11·7) in the Philippines, 32·5% (27·0-35·8) in Russia, and 5·7% (3·0-7·6) in South Africa in 2040. It also predicted the percentage of XDR tuberculosis among incident MDR tuberculosis to increase, reaching 8·9% (95% prediction interval 5·1-12·9) in India, 9·0% (4·0-14·7) in the Philippines, 9·0% (4·8-14·2) in Russia, and 8·5% (2·5-14·7) in South Africa in 2040. Acquired drug resistance would cause less than 30% of incident MDR tuberculosis during 2000-40. Acquired drug resistance caused 80% of incident XDR tuberculosis in 2000, but this estimate would decrease to less than 50% by 2040.

Interpretation: MDR and XDR tuberculosis were forecast to increase in all four countries despite improvements in acquired drug resistance shown by the Green Light Committee-supported programmatic management of drug-resistant tuberculosis. Additional control efforts beyond improving acquired drug resistance rates are needed to stop the spread of MDR and XDR tuberculosis in countries with a high burden of MDR tuberculosis.

Funding: US Agency for International Development and US Centers for Disease Control and Prevention, Division of Tuberculosis Elimination.
Files in This Item:
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DOI
10.1016/S1473-3099(17)30247-5
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Microbiology (미생물학교실) > 1. Journal Papers
Yonsei Authors
Cho, Sang Nae(조상래)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/195820
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