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Sharma, S.K., Kaushik, G., Jha, B., George, N., Arora, S.K., Gupta, D., Singh, U., Hanif, M. and Vashisht, R.P. (2011) Prevalence of Multidrug Resistant among Newly Diagnosed Cases of Sputum-Positive Pulmonary Tuberculosis. Indian Journal of Medical Research, 133, 308-311.

has been cited by the following article:

• TITLE: First Line Anti-Tuberculosis Drugs Resistance Patterns of Mycobacterium tuberculosis Isolates from Newly Diagnosed Cases of Tuberculosis

  AUTHORS: Yogita Mistry, Sangita Rajdev, Summaiya Mullan

  KEYWORDS: M. tuberculosis, First Line Anti-Tuberculosis Drugs, MDR-TB, Prevalence

  JOURNAL NAME: Open Journal of Medical Microbiology, Vol.7 No.3, September 28, 2017

  ABSTRACT: Introduction: Tuberculosis is a major cause of mortality and morbidity world-wide. Anti-tuberculosis drugs have been used for many decades but resistance to them is now widespread. Globally 5% of tuberculosis cases and in India 3% among new TB cases. This study was planned to know the pattern of first line anti-tuberculosis drug resistance in south Gujarat, Surat region in newly diagnosed patients of tuberculosis. Material and Methods: 350 samples were processed for homogenisation and concentration using 4% NAOH-2.9% trisodium citrate. Processed samples were inoculated in liquid medium that is MGIT (Mycobacterial growth indicator tube). Positive samples for M. tbwere processed further for first line anti-tuberculosis drugs sensitivity testing (DST). Reading was taken by using MicroMGIT system. Result: Out of 350 samples 59 (17%) were positive samples, of which 48 (13%) were M. tb and 11 (3%) were non tuberculous mycobacteria. Out of 48 samples 2% (1 isolate) was resistant to isoniazid and Rifampicin while 2% were monoresistant to isoniazide, 2% monoresistant to streptomycin. No rifampicin monoresistant was detected. Conclusion: Such study may help in control of tuberculosis at regional and national level which would in turn help in planning of measures to control Multi-drug resistance tuberculosis. Continuous surveillance should be applied to know the periodic changing patterns and trend in Drug resistant tuberculosis.