Evaluation of Thin Layer Agar 7H11 for Direct Susceptibility Testing of Mycobacterium Tuberculosis Complex against Second Line Anti Tuberculosis Drugs on Smear Positive Specimens

To evaluate performance of thin layer agar (TLA) 7H11 method for detection of ofloxacin (OFX) and kanamycin (KM) resistance in smear positive clinical specimens of patients with tuberculosis comparing the results with gold standard MGIT 960 system. Cross-sectional validation study. Department of Mic...

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Veröffentlicht in:Journal of the College of Physicians and Surgeons--Pakistan 2019-06, Vol.29 (6), p.520-523
Hauptverfasser: Hussain, Ashfaq, Zaman, Gohar, Satti, Luqman, Ikram, Aamer, Gardezi, Adeel Hussain, Khadim, Muhammad Tahir
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Sprache:eng
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Zusammenfassung:To evaluate performance of thin layer agar (TLA) 7H11 method for detection of ofloxacin (OFX) and kanamycin (KM) resistance in smear positive clinical specimens of patients with tuberculosis comparing the results with gold standard MGIT 960 system. Cross-sectional validation study. Department of Microbiology, Armed Forces Institute of Pathology (AFIP), Rawalpindi, from April to September 2017. Acid fast bacilli (AFB) smear positive specimens submitted at the study place, were inoculated on TLA 7H11 agar. Growth was examined along with susceptibility of OFX and KM and compared with gold standard MGIT 960 system. One hundred and sixty specimens were evaluated. Sensitivity and specificity of TLA for OFX was found to be 100% and 99.3%, respectively; and PPV and NPV was found to be 90.9% and 100%, respectively. Overall diagnostic accuracy was 99.38%. Sensitivity and specificity of TLA for KM was found to be 80% and 100%, respectively. PPV and NPV was found to be 100% and 99.36%, respectively. Overall diagnostic accuracy was 99.38%. Thin layer agar is reliable, easy to perform and cost effective technique not only for rapid detection of MTB but also for drug susceptibility (DST) of second line anti TB agents. It is a suitable alternative to culture on LJ medium and can also be alternative to MGIT 960 system in resource-poor settings.
ISSN:1022-386X
1681-7168
DOI:10.29271/jcpsp.2019.06.520