Introduction

Tuberculosis (TB) continues to contribute to high morbidity and mortality worldwide. As per WHO estimates, it accounted for approximately 10 million new cases and 1.5 million deaths in 20201. Pulmonary TB remains the primary target for TB control as it accounts for approximately 85% of all TB cases, while extra-pulmonary tuberculosis (EPTB) accounts for about 8% to 24%2. Annual global incidence of EPTB has been increasing over the last decade due to the changing TB control practices, the spread of human immunodeficiency virus (HIV), population growth, and improved detection. In patients with TB and HIV co-infection, the rate of EPTB is reported to be more than 50% of all cases3.

In resource-limited settings, EPTB poses an extensive diagnostic and therapeutic challenge, due to its paucibacillary nature. It is difficult to diagnose with routine diagnostic methods such as culture and acid-fast bacilli (AFB) staining. Furthermore, EPTB has complex clinical presentation, depending on the site and stage of infection and often needs invasive procedure to obtain appropriate specimens, making diagnosis more challenging. Routine cytology and histology cannot differentiate between the diseases caused by TB or non-tubercular mycobacteria, chronic inflammatory conditions, and some other granulomatous conditions. EPTB is thus diagnosed by combination of various diagnostic modalities4.

Early diagnosis and detection of drug resistance is crucial for effective treatment and prevention of spread of severe forms of disease in the community. With the advent of Nucleic Acid Amplification tests (NAAT), such as GeneXpert/MTB/RIF and Xpert/RIF/Ultra, the sensitivity of detection of EPTB has improved. MolBio Diagnostics (Goa, India) developed a few NAAT assays (Truenat MTB, Truenat MTB Plus and Truenat MTB-RIF Dx) based on chip-based real-time Polymerase Chain Reaction (PCR) technology that utilizes nrdB gene (Truenat MTB), nrdz and IS6110 gene (Truenat MTB Plus) for the semi-quantitative detection of Mycobacterium tuberculosis (MTB) and rpoB gene (Truenat MTB-RIF Dx) for the detection of rifampicin resistance.

The present study was designed as a blinded, cross sectional evaluation study, to evaluate the diagnostic performance of Truenat MTB and MTB-RIF Dx assays (TN) in comparison to the Microbiological reference standards (MRS) (WHO recommended diagnostics (WRD): smear microscopy (Ziehl Neelsen stain), liquid culture (LC) (MGIT-960) and GeneXpert/MTB/RIF) (GX) (molecular WRD/mWRD) and Composite reference standards (CRS) (microbiological investigations, histopathology, radiology, clinical features prompting decision to treat for TB, response to treatment) in patients with presumptive EPTB.

Material & methods

A multicenter, blinded, prospective study was conducted at three tertiary care centers i.e., All India Institute of Medical Sciences New Delhi, Christian Medical College, Vellore, and Hinduja National Hospital, Mumbai from August 2018 to August 2019. Consecutive patients above 18 years of age with unexplained fever, lethargy, weight loss or failure to thrive with specific extra-pulmonary presentations, such as lymph node enlargement, abscess, features of meningitis, pleural effusion, ascites and symptoms suggestive of presumptive EPTB, were enrolled after obtaining written, informed consent.

Patients with poor general condition, with high chance of mortality, Immuno-compromised state except HIV infection, co-morbid conditions like malignancy, congenital defects, those who had previously received anti-tubercular drugs were excluded.

Sample collection and processing

Specimens including cerebrospinal fluid (CSF), peritoneal/pleural fluid, lymph node, biopsy sample and pus were collected as appropriate. Samples such as lymph-node aspirates, biopsy and pus were subjected to standard N-acetyl-L-cysteine sodium hydroxide (NALC-NaOH) decontamination and concentration by centrifugation, while samples from sterile sites were processed directly. Samples were aliquoted into two vials and assigned code numbers (generated daily by statistician, KJS). The laboratory was blinded to the clinical presentation and supporting findings of the patients. The processed samples were subjected simultaneously to AFB smear, GX, LC and TN. All conventional procedures for smear, LC and GX were performed following standard recommendations5,6,7. TN results were recorded against the respective code number assigned.

Acid- Fast Bacillus (AFB) smear microscopy

Ziehl–Neelsen (ZN) staining was performed on both direct and decontaminated samples. Smears were examined under light microscope for the presence of acid-fast bacilli5,6.

Liquid culture and liquid culture drug susceptibility testing (DST)

The processed samples were inoculated into MGIT 960 (Becton Dickinson, MD, USA). The tubes were incubated at 37 °C and the ones flagged positive were tested for contamination on Mueller Hilton Agar plate followed by confirmation by smear microscopy and TBc identification test (Becton Dickinson, MD, USA). Drug susceptibility testing for rifampicin (RIF) and isoniazid (INH) was performed with the MGIT 960 system, using WHO recommended standard critical concentration of 1 µg/ml for RIF and 0.1 µg/ml for INH.

GeneXpert MTB/RIF (GX)

The GX assay was performed according to manufacturer’s instructions (Cepheid, Sunnyvale, CA). Sample reagent was added in a 2:1 ratio to unprocessed sterile sample or decontaminated sample collected from non-sterile sites, and the tube was manually agitated twice during a 15 min incubation period at room temperature. From the treated sample 2 ml was transferred into the cartridge and loaded onto the GeneXpert instrument. The GeneXpert Dx software (version 4.0, Cepheid) reports results as Mycobacterium complex (MTBC) detected, not detected, invalid, error or no result. The resistance to RIF was reported as RIF resistance detected, not detected or indeterminate. The indeterminate result was reported when the test could not accurately determine whether the bacteria were resistant to RIF. The test was repeated for invalid, error, no result, or indeterminate results for RIF resistance7.

Truenat MTB and Truenat MTB-RIF (TN)

Truenat MTB and Truenat MTB-RIF were performed as per manufacturer’s instructions (MolBio Diagnostics, Goa, India). The samples were processed using the Trueprep AUTO sample pre-treatment pack and the DNA was extracted adding two drops of liquefaction buffer to 0.5 ml of sample. The entire content was then transferred to lysis buffer tube and incubated for 5 min. This mixture was then transferred into the cartridge and loaded on to the device to isolate ~ 40 µl of DNA. For amplification 6 µl of purified DNA was added to microtube containing lyophilized master-mix and allowed to stand for 30–60 s to get a clear solution. A 6 µl of this clear solution was dispensed into the reaction well of the Truenat MTB chip and loaded to the Truenat Uno Dx instrument. The results were displayed as amplification curve on the analyzer screen on a real time basis during the test run. At the end of the test run the results were reported as MTB detected, not detected or invalid. The test was repeated for invalid results. Indeterminate or error was displayed when the obtained values did not meet the requirements for resistance determination. The test was repeated for sample displaying indeterminate or error8.

All experiments were performed in accordance with the National ethical guidelines for biomedical and research health involving human participants, 2017 (available at:

https://ethics.ncdirindia.org/ICMR_Ethical_Guidelines.aspx).

Microbiological Reference Standards (MRS) included LC, Smear and GX8,9. Results of TN were compared to MRS, Smear or Liquid Culture results taken together and to liquid culture alone as well. In order to compare the performance of the two molecular tests, similar comparison was done for GX.

Composite Reference Standards (CRS) included microbiological investigations, histopathology, radiology, clinical features (weight loss, fever, lymph node, night sweats, history of contact and loss of appetite) prompting decision to treat for TB, response to treatment. Patients were grouped as Confirmed/Unconfirmed and Unlikely TB4,10.

Statistical analysis

Data were analyzed using Stata version 14.1 (StataCorp, College Station, TX). Performance of TN was determined statistically in comparison with MRS and CRS using STATA. Performance of TN and GX were compared with LC and with Clinical Reference Standards in addition, using STATA. Data analysis was done per patient.

Ethics

Institute Ethics Committee (IEC), All India Institute of Medical Sciences, New Delhi approved the study protocol (IEC No. IEC-5/09.02.2017). TB treatment decisions were not made based on the result of the TN assay under evaluation, but based on the clinical work-up along with MRS.

Results

The three sites namely All India Institute of Medical Sciences New Delhi, Christian Medical College, Vellore, and Hinduja National Hospital, Mumbai contributed 843, 348 & 912 samples respectively. There were 1241 (59%) samples from male patients and remaining 862 (41%) from female patients.

Five types of samples were included in the study, 202 (9.61%) were CSF, 644 (30.62%) were fluids (peritoneal, pleural), 449 (21.35%) were lymph node aspirates, 404 (19.21%) were pus and tissue biopsy each respectively. Of all, 19.6% patients presented with cough, 36% with fever, 25.34% had weight loss in recent months, 7.4% patients had abdominal pain, 6.4% had headache and 21.63% had lymphadenopathy.

Of 2103 samples analyzed 358 samples (17%) were found positive using MGIT culture test, 429 samples (20.4%) were found positive using GX and 486 (23.11%) were positive by TN (Table 1).

Table 1 Comparative analysis of test results by TN with WRD.

Comparison of TN with AFB smear

TN test gave a sensitivity of 89.2% in comparison with smear results and specificity of 79.6%. The positive predictive value of TN was 15.2% and negative predictive value was 99.4% (Table 1).

Comparison of TN with gold standard LC for detection of TB

TN when compared with LC as gold standard for EPTB diagnosis gave 62.3% sensitivity and 84.9% specificity (Table 1). The sensitivity, specificity of GX was 67.6% and 89.3% in all sample types collected (Table 3).

The sensitivity of TN compared to LC in AFB positive specimens was 93.2% while that of GX was 96.6%. Sensitivity in AFB negative specimens was 56.2% while GX had a sensitivity of 61.9% (Table 2).

Table 2 Diagnostic performance of TN & mWRD in smear positive and smear negative specimens with MGIT culture.

The sensitivity and specificity of TN varied with sample types collected in our study. Pus samples demonstrated highest sensitivity of 89% while lowest sensitivity of 43.8% was detected in fluid samples. Further, highest specificity was seen in CSF (92%) while lowest specificity of 69% was seen in pus samples (Table 3). Similar to results in TN, GX demonstrated highest sensitivity of 89% in pus and specificity of 91.5% in CSF. The lowest sensitivity of GX, 31.3% was seen in fluid samples (43.8% by TN) and specificity of 78.9% in pus samples (69% by TN) (Table 3).

Table 3 Comparative analysis of TN and mWRD (GX) with Culture (MGIT) (in all samples and sample type wise).

Comparison of TN with GX

TN in comparison with GX gave sensitivity of 73.7% and specificity of 89.8%, positive predictive value of 65% and negative predictive value of 93% (Table 1).

Comparison of TN with microbiological reference standards

Comparing the results of TN with the MRS (smear, culture, GX), the sensitivity was 63% and specificity was 91%, positive predictive value of 71.4% and negative predictive value of 87.4% (Supplementary Table 1).

Comparative performance of TN with GX for detection of RIF resistance

GX detected 360 (17.12%) samples to be sensitive, 55 (2.61%) as resistant and 13 (0.62%) as indeterminate, whereas TN found 234 (11%) sensitive, 39 (1.9%) as resistant and 206 (9.79%) as indeterminate results (Table 4). The resultant concordance between TN and GX was seen in 80.8% of specimens.

Table 4 Comparative analysis of TN results with mWRD (GX).

The discordant results were seen in 124 samples, highest in lymph node (48) followed by pus (39), tissue biopsy (22), fluid (11) and CSF (4). The discordant results observed were seen primarily in samples with low or very low DNA levels in 113 (91.12% of discordant) samples (Supplementary Table 2). Rifampicin resistance by TN was indeterminate in 111/124 (89.5%) samples and 103/111 (92.8%) samples had low/very low DNA quantity. In contrast, GX gave 103/124 samples as sensitive despite 85/103 (82.5%) with low and very low amount of DNA, and 18/124 as resistant, though 13/18 (72.22%) had low/very low DNA. In 3/124, GX gave indeterminate results (Supplementary Table 2).

Comparison of TN with composite reference standards

On further analysis of molecular test results with Composite Reference Standards, Confirmed, Unconfirmed and Unlikely TB, TN gave a sensitivity of 63% and specificity of 91.6% (Table 5). Positive predictive value for TN was 79% and Negative Predictive value of 83.1%.

Table 5 Concordance of Truenat with Composite Reference Standard (Confirmed, Unconfirmed and Unlikely TB).

Comparison of TN and GX results with clinical reference standards (composite reference standards without microbiological reference standards)

In order to compare the performance of TN and GX, patients were grouped using clinical features, radiology, histopathology, and other accessory investigations but without microbiological investigations as Confirmed, Unconfirmed and Unlikely TB10. TN gave a sensitivity of 69.6% and specificity of 99.9%, while GX gave a sensitivity of 61.5% and specificity of 100% (Supplementary Table 3 (a). Positive predictive value for TN was 99.8% (GX, 100%) and Negative Predictive value of 84% (GX, 80.6%).

Comparison of TN positive and GX negative results with clinical reference standards

TN detected 170 extra samples which were missed by GX, smear and culture. Of these patients, 169/170 were Confirmed TB, while 1 patient was Unconfirmed TB. Of these, 59 (34.9%) samples had high DNA quantity but were missed by GX (Supplementary Table 3 (b). In contrast, samples that were detected by GX but missed by TN (Supplementary Table 3 (c) primarily had low/very low quantity DNA (53.09%). This trend was seen in combined as well as site specific data.

Discussion

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 to 83%14,15,16. 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 performance18,19,20. Some studies with small sample size have found, diagnostic yield of 77.14% with Truplus and 59.18% with Xpert Ultra in 100 lymph node samples21; another study found a yield of 3.6% in lymph nodes samples. Rajendran et al. reported sensitivity of 60% with TN in 298 EPTB samples23.

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% respectively24. Initial studies evaluating GX had demonstrated similar sensitivity (79%) and specificity (97%) when compared to LC25.

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. Inhibitors of PCR such as high protein content, factors released during clotting cycle, heme in samples could cause inhibition of PCR leading to different yield with different sample types. Published work has reported GX sensitivity and specificity of 71.1% and 98% in CSF, 87.6% and 86% in lymph node aspirates and 50.9% and 99% for pleural fluid26. 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%27.

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 GX28. 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, 3/124 as indeterminate and 18/124 as resistant 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 resistance29,30,31,32.

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 for CSF, pericardial/peritoneal/pleural fluids) and loading into Autoprep for TN. Paucibacillary samples could possibly have additional loss of bacterial DNA during extraction. [TN/GX 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 TN28,33,34.

Age and immune response can significantly affect the disease immunopathogenesis which could in turn affect the disease presentation and hence detection by NAAT. We reported yield of 24.1% by GX in respiratory samples from children with presumptive intra-thoracic TB, significantly higher (31%) in children with progressive primary TB (lung parenchymal lesion) and 11.9% in those with primary pulmonary complex disease (hilar lymphadenopathy)35. Kabir et al.36reported higher yield of GX in males and in young adults.

Few limitations are that the study was done in initial versions of TN and Genexpert MTB/RIF. Further improved versions are now available for both systems. Future versions of 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 could enable detection of resistance to important drugs in the treatment regimen such as Bedaquiline, Linezolid, INH and fluoroquinolones, essential for designing treatment regimen for drug resistant TB. Both TN and GX missed few samples detected by the other test possibly due to low amount of DNA. TN gave Rif resistance indeterminate results in samples with low amount of DNA, which should be improved in future versions. GX reported a small number of low DNA samples as resistant. WHO recommends phenotypic DST or repeat sample testing in samples with lower bacillary load37, however repeating extra-pulmonary samples may not always be feasible and paucibacillary samples may have poor yield on culture. Newer technology or improvements in the current technology could overcome this dilemma.

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 were used together to further evaluate test results.

In patients initiated on treatment, TN achieved sensitivity of 69.6% (65.1% for GX) and a higher negative predictive value than GX. TN proved to be instrumental in diagnosing more patients with confirmed TB, where other diagnostic methods failed. The current study establishes TN as a sensitive and specific technique for diagnosis of EPTB. TN can work on a hand-held device (battery operated), with minimal operational requirements and potential to be utilized at peripheral centres in resource limited settings. The assay involves automated DNA extraction in Trueprep device (20 min) which is loaded on a chip and amplified in Truelab micro-PCR device (40 min).GX system requires ambient temperature between 15 and 30 °C, stable electricity supply, and adequate storage space for cartridges (storage at 2–28 °C ), thereby, limiting its use to district hospital settings.

Despite advances in diagnostic technology, treatment is initiated based on comprehensive reference standards in EPTB. In paucibacillary samples, the results by both methods for samples such as fluids and biopsy as well as RIF resistance detection was imperfect, prompting scope for improvements in diagnostic modalities.