Initial studies evaluating GX gave sensitivity of detection of TB in the range of 25%-95%. The differences in these studies were primarily due to enrollment of different patient populations, different clinical presentations of EPTB, different sample types, processing techniques and comparator gold standards utilized11. WHO recommended the use of GX in EPTB samples12. However, the yield of GX was low in paucibacillary samples due to limited amount of DNA detected13. Several meta-analyses concluded sensitivity from 69–83%14–16. With the new Xpert Ultra, based on detection of two multicopy gene sequences, improvement in sensitivity was reported17. Studies using Xpert Ultra on EPTB samples have shown improved performance18–20.
In the current study, the sensitivity of detection by TN in comparison to LC was 62.3% while specificity was 85%, close to that of GX, 67.6% and 89.3% similar to previous studies in EPTB samples where sensitivity and specificity of TN compared to LC was 65% and 70% respectively21. Initial studies evaluating GX had demonstrated similar sensitivity (79%) and specificity (97%) when compared to LC22.
Sensitivity for different extra-pulmonary samples varied, being highest in pus samples, similar by both TN and GX (89%) and lowest in pleural/peritoneal fluids (43.8% by TN, 31.3% by GX). TN gave similar sensitivity to GX for pus samples and CSF, higher sensitivity than GX in fluids and biopsy, and lower sensitivity than GX in lymph node aspirates. In studies using GX Ultra sensitivity from lymph nodes has been reported from 50 to 100%, for CSF 71.4 to 96.4%, and lower sensitivity for pleural fluids 47.6 to 84.2%23.
Further, sensitivity of RIF resistance detection by TN in comparison to LC DST was 95% while sensitivity of RIF resistance detection by GX was 94.4%. In a previous study published by our group sensitivity of RIF resistance detection was 81.82% with GX24. There was a concordance of 80.8% (1700/2103) in the RIF resistance results by TN and GX. Of 124 samples showing discordant results, substantial number had low/very low amount of DNA. While TN labeled 111/124 as indeterminate RIF resistance, GX reported 103/124 as sensitive despite the low/very low DNA. Low/very low amount of DNA is known to create confusion in detection of RIF resistance due to fallacies in probe binding in GX and failing amplification in TN. Reports caution against inference of resistance in samples with low/very low DNA. Paucibacillary nature of extra-pulmonary samples complicates detection of RIF resistance25–28.
With respect to Composite Reference Standards (CRS), detection by TN in patients grouped as Confirmed, Unconfirmed and Unlikely TB gave sensitivity of 63% & specificity of 91.6%. Similar studies with GX have shown a sensitivity in similar range. Collection and processing of extra-pulmonary samples offers a challenge. While GX extraction protocol involves decontamination by NaLC-NaOH method followed by centrifugation for all extra-pulmonary samples (except CSF) and loading into the cartridge for GX; TN protocol recommends addition of sample treatment buffer directly to samples (to pellet after centrifugation of CSF, pericardial/peritoneal/pleural fluids) and loading into Autoprep for TN. Paucibacillary samples could possibly have additional loss of bacterial DNA during extraction. [TN/Genexpert kit instructions]
With respect to Clinical Reference Standards (CRS without microbiological investigations), detection by TN in patients grouped as Confirmed, Unconfirmed and Unlikely TB gave sensitivity of 69% & specificity of 99.9%. GX performed slightly inferior with a sensitivity of 61.5% and specificity of 100%. TN detected 170 extra samples (at all three sites), which were missed by GX and other microbiological tests. These patients were all in Confirmed TB group with one patient in Unconfirmed TB group. The amount of DNA in these samples was low/very low in 57% patients, and high in 35%, but was missed by GX. GX detected 113 samples missed by TN (included for TN sensitivity calculation, TN showed sensitivity of 73.7% in comparison to GX). These samples predominantly had low/very low DNA amount, and could have hence been missed by TN24, 29–30.
Further improvement in available NAATs could include simplifying sample processing and inclusion of more genes in the test design to improve sensitivity of TB detection and EPTB diagnosis. Also, inclusion of more gene targets especially for detecting resistance to important drugs in the treatment regimen such as INH and fluoroquinolones, essential for designing treatment regimen for drug resistant TB.
Strengths of the current study include a large sample size included from three tertiary care centers in a high endemic, low resource setting. All patient samples were systematically subjected to WHO recommended diagnostics which were used as gold standard comparator for evaluation of TN. Composite reference standards including clinical suspicion, microbiological investigations, histopathology, radiology and response to treatment used together to further evaluate test results.
The current study establishes TN as a sensitive and specific technique for diagnosis of EPTB. In patients initiated on treatment, TN achieved sensitivity of 69.6% (65.1% for GX) and a higher negative predictive value than GX. Results were similar to WHO approved GX for samples such as pus and CSF, better for samples such as fluids and biopsy, though slightly inferior for lymph node aspirates. In addition, when compared to the LC, sensitivity of TN was slightly superior to GX for RIF resistance detection. TN proved to be instrumental in diagnosing more patients with confirmed TB, where other diagnostic methods failed.