scholarly journals P6‐34: Prevalence of rifampicin resistance in patients with pulmonary tuberculosis in western India using automated TrueNat assay

Respirology ◽  
2021 ◽  
Vol 26 (S3) ◽  
pp. 240-240
2015 ◽  
Vol 61 (11/2015) ◽  
Author(s):  
XW Wang ◽  
F Pappoe ◽  
Y Huang ◽  
XW Cheng ◽  
DF Xu ◽  
...  

2019 ◽  
pp. 1-3
Author(s):  
B.V. Ramana* ◽  
A. Srikar ◽  
P. Prakash ◽  
Abhijit Chaudhury

Introduction: Tuberculosis is one of the oldest diseases with high morbidity and mortality. India accounts for one- fourth of the global TB burden (2.7million cases). Material and methods: A total 1056 patients were included in this study. All patients were requested to give two sputum samples, spot sputum sample (at the time of visit) and early morning sputum for mycobacterial testing. All spot samples tested with smear microscopy and Xpert MTB/Rif assay. Rifampicin resistant samples compared with conventional method. Results: Out of 1056 sputum samples GeneXpert MTB Rif assay detected positive 204 (19.3%), not detected 827 (78.31%). There is significant difference founded for positivity in spot samples and early morning sputum samples (P =0.0026). Rifampicins resistant were 8 (3.9%) andshown 100% sensitivity, specificity with Conventional method. Conclusion: For diagnosing tuberculosis and detecting Rifampicin resistance GeneXpert MTB/RIF has been especially recommended.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Youness Mechal ◽  
Elmostafa Benaissa ◽  
Nadia El mrimar ◽  
Yassine Benlahlou ◽  
Fatna Bssaibis ◽  
...  

Abstract Background Tuberculosis represents a serious public health problem and a significant diagnostic and therapeutic challenge worldwide. Molecular diagnostic techniques are crucial in the World Health Organization’s new tuberculosis control strategy. This study aims to evaluate the performance of GeneXpert MTB/RIF (Cepheid Sunnyvale, CA, United States) in diagnosis of extra-pulmonary tuberculosis then compare it’s performance in detecting Rifampicin resistance to GenoType MTBDRplus (HAIN Life Sciences, Nehren, Germany). Methods Samples from pulmonary and/or extra-pulmonary origins were analysed in a 21 months retrospective study. Samples were sent to the bacteriology laboratory for Mycobacterium tuberculosis detection using conventional bacteriological and molecular methods (GeneXpert MTB/RIF and MTBDRplus). Sensitivity and specificity were calculated for the stained smear and GeneXpert according to culture (Gold Standard) as well as for GeneXpert MTB/RIF in both negative and positive microscopy tuberculosis cases. Data’s statistical analysis was performed with SPSS13.0 software. Results Seven hundred fourteen patients’ samples were analysed; the average age was 47.21 ± 19.98 years with a male predominance (66.4%). Out of 714 samples: 285 were from pulmonary and 429 were from extra-pulmonary origins. The positivity rates for microscopy, GeneXpert MTB/RIF and culture were 12.88, 20.59 and 15.82%, respectively. These rates were 18.9, 23.85 and 20.35% for pulmonary samples and 9.71, 18.41 and 12.82% for extra-pulmonary samples, respectively. The sensitivity and specificity of GeneXpert MTB/RIF were almost the same in both pulmonary and extra-pulmonary samples (78.2 and 90.4%) and (79,3 and 90.3%) respectively. Rifampicin resistance rate found by GeneXpert MTB/RIF was 0.84%. Comparison of Rifampicin resistance obtained by GeneXpert MTB/RIF and Genotype MTBDRplus, showed 100% agreement between the two techniques for studied samples. Conclusions This confirms GeneXpert MTB/RIF advantage for tuberculosis diagnosis, particularly extra-pulmonary tuberculosis with negatively stained smear. The performance of GeneXpert and Genotype MTBDRplus are similar in detection of Rifampicin resistance. However, variability of detection performance according to tuberculosis endemicity deserves more attention in the choice of screening techniques of Rifampicin resistance, hence the interest of conducting comparative studies of detection performance under low and medium endemicity on large samples of tuberculosis populations.


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