Genetic sequencing for surveillance of drug resistance in tuberculosis in highly endemic countries: a multi-country population-based surveillance study

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dc.contributor.author Zignol, Matteo
dc.contributor.author Cabibbe, Andrea Maurizio
dc.contributor.author Dean, Anna S.
dc.contributor.author Glaziou, Philippe
dc.contributor.author Alikhanova, Natavan
dc.contributor.author Ama, Cecilia
dc.contributor.author Andres, Sonke
dc.contributor.author Barbova, Anna
dc.contributor.author Borbe-Reyes, Angeli
dc.contributor.author Chin, Daniel P.
dc.contributor.author Cirillo, Daniela Maria
dc.contributor.author Colvin, Charlotte
dc.contributor.author Dadu, Andrei
dc.contributor.author Dreyer, Andries
dc.contributor.author Driesen, Michele
dc.contributor.author Gilpin, Christopher
dc.contributor.author Hasan, Rumina
dc.contributor.author Hasan, Zahra
dc.contributor.author Hoffner, Sven
dc.contributor.author Hussain, Alamdar
dc.contributor.author Ismail, Nazir Ahmed
dc.contributor.author Kamal, S.M. Mostofa
dc.contributor.author Khanzada, Faisal Masood
dc.contributor.author Kimerling, Michael
dc.contributor.author Kohl, Thomas Andreas
dc.contributor.author Mansjo, Mikael
dc.contributor.author Miotto, Paolo
dc.contributor.author Mukadi, Ya Diul
dc.contributor.author Mvusi, Lindiwe
dc.contributor.author Niemann, Stefan
dc.contributor.author Omar, Shaheed Vally
dc.contributor.author Rigouts, Leen
dc.contributor.author Schito, Marco
dc.contributor.author Sela, Ivita
dc.contributor.author Seyfaddinova, Mehriban
dc.contributor.author Skenders, Girts
dc.contributor.author Skrahina, Alena
dc.contributor.author Tahseen, Sabira
dc.contributor.author Wells, William A.
dc.contributor.author Zhurilo, Alexander
dc.contributor.author Weyer, Karin
dc.contributor.author Floyd, Katherine
dc.contributor.author Raviglione, Mario C.
dc.date.accessioned 2018-06-01T08:43:10Z
dc.date.available 2018-06-01T08:43:10Z
dc.date.issued 2018-06
dc.description.abstract BACKGROUND : In many countries, regular monitoring of the emergence of resistance to anti-tuberculosis drugs is hampered by the limitations of phenotypic testing for drug susceptibility. We therefore evaluated the use of genetic sequencing for surveillance of drug resistance in tuberculosis. METHODS : Population-level surveys were done in hospitals and clinics in seven countries (Azerbaijan, Bangladesh, Belarus, Pakistan, Philippines, South Africa, and Ukraine) to evaluate the use of genetic sequencing to estimate the resistance of Mycobacterium tuberculosis isolates to rifampicin, isoniazid, ofloxacin, moxifloxacin, pyrazinamide, kanamycin, amikacin, and capreomycin. For each drug, we assessed the accuracy of genetic sequencing by a comparison of the adjusted prevalence of resistance, measured by genetic sequencing, with the true prevalence of resistance, determined by phenotypic testing. FINDINGS : Isolates were taken from 7094 patients with tuberculosis who were enrolled in the study between November, 2009, and May, 2014. In all tuberculosis cases, the overall pooled sensitivity values for predicting resistance by genetic sequencing were 91% (95% CI 87–94) for rpoB (rifampicin resistance), 86% (74–93) for katG, inhA, and fabG promoter combined (isoniazid resistance), 54% (39–68) for pncA (pyrazinamide resistance), 85% (77–91) for gyrA and gyrB combined (ofloxacin resistance), and 88% (81–92) for gyrA and gyrB combined (moxifloxacin resistance). For nearly all drugs and in most settings, there was a large overlap in the estimated prevalence of drug resistance by genetic sequencing and the estimated prevalence by phenotypic testing. INTERPRETATION : Genetic sequencing can be a valuable tool for surveillance of drug resistance, providing new opportunities to monitor drug resistance in tuberculosis in resource-poor countries. Before its widespread adoption for surveillance purposes, there is a need to standardise DNA extraction methods, recording and reporting nomenclature, and data interpretation. en_ZA
dc.description.department Medical Microbiology en_ZA
dc.description.librarian am2018 en_ZA
dc.description.sponsorship The Bill & Melinda Gates Foundation, the United States Agency for International Development, and the TB Alliance. en_ZA
dc.description.uri www.thelancet.com/infection en_ZA
dc.description.uri http://www.thelancet.com/infection en_ZA
dc.identifier.citation Zignol, M., Cabibbe, A.M., Dean, A.S. et al. 2018, 'Genetic sequencing for surveillance of drug resistance in tuberculosis in highly endemic countries: a multi-country population-based surveillance study', Lancet Infectious Diseases, vol. 18, pp. 675-683. en_ZA
dc.identifier.issn 1473-3099 (print)
dc.identifier.issn 1474-4457 (online)
dc.identifier.other 10.1016/S1473-3099(18)30073-2
dc.identifier.uri http://hdl.handle.net/2263/65067
dc.language.iso en en_ZA
dc.publisher Elsevier en_ZA
dc.rights © 2018 World Health Organization; licensee Elsevier. This is an Open Access article published under the CC BY 3.0 IGO license. en_ZA
dc.subject Anti-tuberculosis drugs en_ZA
dc.subject Drug resistance en_ZA
dc.subject Patients en_ZA
dc.subject Genetic sequencing en_ZA
dc.subject Tuberculosis (TB) en_ZA
dc.title Genetic sequencing for surveillance of drug resistance in tuberculosis in highly endemic countries: a multi-country population-based surveillance study en_ZA
dc.type Article en_ZA


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