Performance Evaluation, Comparison and Degree of Effectiveness of Five Different Techniques for Detection and Isolation of Mycobacterium Tuberculosis
DOI:
https://doi.org/10.5281/zenodo.15119106Keywords:
BACTEC 960, Mycobacteria growth indicator tube, Lowenstein–Jensen, Fluorescence microscopyAbstract
This study was aimed to evaluate and compare the clinical performance and effectiveness of five different techniques for detection and isolation of Mycobacterium tuberculosis to determining the best technique for the detection and isolation of MTB at resource limited province of Pakistan, Balochistan. A cross-sectional retrospective cohort study on 307 samples collected from 2016 to 2018 was conducted at Fatima Jinnah General and Chest Hospital Quetta (FJHQ). All the samples were cultured according to the WHO protocol on LJ media and BACTEC 960 system. The fluorescence microscopy, ICT (MPT64 Kit) and ZN microscopy was used as confirmatory techniques. IBM-SPSS version 23 was used to analyze the recorded data and compute all the statistics. Multi Variate Binary Logistic Regression (MVBLR) analysis was used to determine the technique of choice best for the detection and isolation of MTB in clinical isolates. The frequency of positive samples processed by BACTEC 960, ICT (MPT64 Kit), ZN Microscopy, fluorescence Microscopy and LJ media culture were 39.7% (122/307), 38.1% (117/307), 39.4% (121/307), 39.1% (120/307) and 45.3% (139/307) respectively. The ICT (MPT64 Kit) and LJ media culture was found with lowest and highest recovery rate, sensitivity, specificity, PPV and NPV respectively. The overall comparative recovery rate was as follow ICT (MPT64 Kit) < fluorescence microscopy < ZN microscopy < BACTEC 960 < LJ media. The LJ media has highest recovery rate and reversal time with minimum contamination rate of 14/351 (3.98 %) as compared to BACTEC 960 system having the highest contamination rate of 46/351 (13.10 %) and exception of analyzing blood and urine samples. ICT (MPT64 Kit), fluorescence microscopy and ZN microscopy are found an essential confirmatory technique.
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