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Article dans une revue International Journal of Mycobacteriology Année : 2018

Detection of multidrug-resistant tuberculosis from stored DNA Samples: A multicenter study

Résumé

Background: In low‑income countries, rapid detection of tuberculosis (TB) drug resistance is often restricted by the difficulties of transporting and storing sputum samples from remote health centers to the reference laboratories where molecular tests are available. The aim of this study was to evaluate the performance of four transport and storage systems for molecular detection of rifampicin (RIF) and isoniazid (INH) resistance. Methods: This was a multicenter study. Molecular detection of RIF and INH resistance was performed directly from smear‑positive TB sputa spotted on a slide, FTA card, GenoCard, and ethanol using the Genotype MTBDRplus assay. The performance of the DNA extraction method from each storage support to detect drug resistance was assessed by calculating their sensitivity and specificity compared to the phenotypic method. Results: From all sites, the overall sensitivity and specificity for RIF‑resistance detection was 88% and 85%, respectively, for slides, 86% and 92%, respectively, for GenoCard, 87% and 89%, respectively, for FTA card, and 88% and 92%, respectively, for ethanol. For INH‑resistance detection, the overall sensitivity and specificity was 82% and 90%, respectively, for slides, 85% and 96%, respectively, for GenoCard, 86% and 92%, respectively, for FTA card, and 86% and 94%, respectively, for ethanol. Conclusion: Smear slides and filter cards showed to be very useful tools to facilitate DNA extraction from sputum samples with the potential to accelerate the detection of drug resistance in remote areas.
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Dates et versions

pasteur-01909676, version 1 (31-10-2018)

Licence

Paternité - CC BY 4.0

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Marie Sylvianne Rabodoarivelo, A Brandao, M C Cergole Novella, A G C. Bombonatte, B Imperiale, et al.. Detection of multidrug-resistant tuberculosis from stored DNA Samples: A multicenter study. International Journal of Mycobacteriology, 2018, 7 (1), pp.40-44. ⟨10.4103/ijmy.ijmy_193_17⟩. ⟨pasteur-01909676⟩
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