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. 2022 May 11;13:817661. doi: 10.3389/fmicb.2022.817661

Rapid Molecular Diagnosis of Extra-Pulmonary Tuberculosis by Xpert/RIF Ultra

Laura Rindi 1,*
PMCID: PMC9130774  PMID: 35633667

Abstract

Rapid detection of Mycobacterium tuberculosis complex and determination of drug resistance are essential for early diagnosis and treatment of tuberculosis (TB). Xpert MTB/RIF Ultra (Xpert Ultra), a molecular test that can simultaneously identify M. tuberculosis complex and resistance to rifampicin directly on clinical samples, is currently used. Xpert Ultra represents a helpful tool for rapid pulmonary TB diagnosis, especially in patients with paucibacillary infection. The aim of this review is to provide an overview of the diagnostic performance of Xpert Ultra in detection of extra-pulmonary tuberculosis.

Keywords: Mycobacterium tuberculosis, diagnosis, Xpert Ultra, extra-pulmonary, tuberculosis

Introduction

Tuberculosis (TB) currently represents a major infectious disease worldwide. In 2019, the World Health Organization (WHO) estimated 1.2 million deaths and 7.1 million new cases (World Health Organization [WHO], 2020). Although TB mainly affects the lung parenchyma, Mycobacterium tuberculosis can spread to extra-pulmonary sites. On average, extra-pulmonary TB (EPTB) accounted for 16% of active cases of TB reported in 2019 (World Health Organization [WHO], 2020), with the proportion being greater among children and individuals positive for HIV. Pleurae and lymph nodes are the most common sites of involvement in EPTB, while meningeal TB, the most serious form of TB infection, occurs less frequently. EPTB diagnosis remains a great challenge because of the paucibacillary nature of the disease, subclinical or non-specific symptoms, and difficulties in obtaining qualified clinical specimens for M. tuberculosis detection.

In 2013 the World Health Organization (WHO) endorsed the use of Xpert MTB/RIF (Xpert) assay (Cepheid, Sunnyvale, CA, United States), a semi-automated cartridge-based molecular test, which allows for rapid TB diagnosis by simultaneous detection of M. tuberculosis complex and resistance to rifampicin (Boehme et al., 2010; Lawn et al., 2011; Theron et al., 2014; Detjen et al., 2015). However, the sensitivity of this assay is poor when the load of bacilli is very low and remains variable when tested on different types of extra-pulmonary specimens (Theron et al., 2014). Several systematic reviews and meta-analyses evaluated the performance of Xpert and reported pooled sensitivity ranging from 69 to 83% (Maynard-Smith et al., 2014; Penz et al., 2015; Jiang et al., 2020). Recently, the new version Xpert MTB Ultra (Xpert Ultra) has been developed to overcome the limitations of the Xpert assay (Chakravorty et al., 2017) and has been endorsed by the WHO in 2017. The Xpert Ultra system, based on the amplification of two multicopy sequences and characterized by improved assay chemistry, offers a greater sensitivity given the decreased limit of detection of M. tuberculosis. A prospective multicenter diagnostic accuracy study showed the excellent sensitivity of Xpert Ultra for detection of pulmonary TB, especially for paucibacillary specimens (i.e., from individuals with smear-negative TB or HIV infection) (Dorman et al., 2018). Similar results were found when the diagnostic performance of Xpert Ultra was evaluated for the detection of pediatric pulmonary TB (Sabi et al., 2018). Further studies confirmed that Xpert Ultra represents a useful tool for rapid diagnosis of pulmonary TB (Hodille et al., 2019; Kolia-Diafouka et al., 2019; Opota et al., 2019b; Ssengooba et al., 2020).

The Xpert Ultra assay has different sensitivities and specificities for detecting M. tuberculosis complex obtained from lymph nodes, pleural fluid, gastrointestinal tract, genitourinary system, cerebrospinal fluid, and other samples (Opota et al., 2019a; Zhang et al., 2020; Park and Kon, 2021). The aim of this review is to provide an overview of the current knowledge of the diagnostic accuracy of Xpert Ultra for the detection of EPTB, taking into consideration a broad range of different types of extra-pulmonary specimens. Recently, several studies have addressed the performance of Xpert Ultra for the diagnosis of EPTB, evaluating the diagnostic accuracy of Xpert Ultra compared with culture and/or a composite reference standard (CRS) based on clinical, laboratory, histopathologic, and radiological features. Table 1 summarizes the diagnostic performance of Xpert Ultra on EPTB specimens. The following paragraphs will consider the studies carried out on each of the main EPTB specimens.

TABLE 1.

Diagnostic performance of Xpert MTB/RIF Ultra (Xpert Ultra) on extra-pulmonary TB (EPTB) specimens.

Specimen type Sensitivity
 Number of specimens
 References
vs Culture vs CRS Culture-Positive Total
Pleural fluid 84.2% 61.1% 57 108 Wang et al., 2019
83.6% 44.2% 55 208 Wang et al., 2020
43.7% 103 Wu et al., 2019
47.6% 21 24 Perez-Risco et al., 2018
37.5% 48 Meldau et al., 2019
50% 6 118 López-Roa et al., 2021
66.7% 9 77 Mekkaoui et al., 2021
50% 48.1% 6 27 Gao et al., 2021
Pleural tissue 100% 2 2 Perez-Risco et al., 2018
100% 2 41 López-Roa et al., 2021
100% 81.48% 9 27 Gao et al., 2021
Lymph node tissue 94.1% 17 25 Perez-Risco et al., 2018
75% 8 51 López-Roa et al., 2021
95.8% 24 196 Mekkaoui et al., 2021
90% 66.7% 10 24 Antel et al., 2020
91.3% 46 Minnies et al., 2021
50% 10 10 Bisognin et al., 2018
100% 40% 1 5 Hoel et al., 2020
33.3% 3 Piersimoni et al., 2019
Lymph node aspirate 77.8% 70% 9 30 Antel et al., 2020
100% 26.7% 4 15 Hoel et al., 2020
CSF 44.2% 43 Wang et al., 2019
33.3% 6 Piersimoni et al., 2019
90% 95.4% 10 22 Bahr et al., 2018
80% 63.6% 5 11 Chin et al., 2019a
92.9% 42 Cresswell et al., 2020b
90.9% 59.5% 22 42 Donovan et al., 2020
96.4% 72% 56 204 Sharma et al., 2020
46.7% 60 Shao et al., 2020
71.4% 45% 14 76 | Huang et al., 2021
Joint fluid 87.5% 8 9 Perez-Risco et al., 2018
Osteoarticular pus 62.5% 8 8 Perez-Risco et al., 2018
96.1% 90.9% 52 132 Sun et al., 2019
Osteoarticular biopsy 100% 2 21 Perez-Risco et al., 2018
100% 3 27 Mekkaoui et al., 2021
Urine 100% 12 24 Perez-Risco et al., 2018
100% 2 6 López-Roa et al., 2021
18%a 84a Minnies et al., 2021 a
17.2%b 203b Andama et al., 2020 b
33.9%c 56c Cresswell et al., 2020a c
Gastric aspirate 75% 4 5 Perez-Risco et al., 2018
50% 2 2 Bisognin et al., 2018
60% 5 Piersimoni et al., 2019
87.5% 60.5% 48 129 Sun et al., 2020
85.4% 52.5% 48 141 Sun et al., 2021
Stool 80% 5 8 Perez-Risco et al., 2018
60.3% 141 Sun et al., 2021
83.3% 72 111 Kabir et al., 2021
45.5% 126 Liu et al., 2021
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aTB lymphadenitis; bpulmonary TB; cTB meningitis.

Pleural Fluid/Tissue

Pleural TB is the most common type of EPTB in adults (World Health Organization [WHO], 2020). The diagnosis of pleural TB, depending on detection of M. tuberculosis in pleural fluids or biopsy tissues, is often challenging given the paucibacillary nature of the disease (Shaw et al., 2018). Recently, several studies have addressed the performance of Xpert Ultra for the diagnosis of pleural TB. In Wang et al. (2019) analyzed 108 pleural fluid specimens and showed an overall sensitivity of Xpert Ultra of 61.1%; the sensitivity was 84.2% vs. culture. In a larger multicenter cohort study, which included pleural fluids from 208 individuals diagnosed with pleural TB, the same authors reported a sensitivity of 44.2% against CRS and a sensitivity of 83.6% among pleural effusion culture-positive cases (Wang et al., 2020). This is in line with a further publication, where 43.7% of 103 pleural fluids were detected by Xpert Ultra (Wu et al., 2019). Perez-Risco et al. (2018) evaluated the diagnostic performance of Xpert Ultra on different types of extra-pulmonary specimens, including pleural fluids and biopsy tissues, demonstrating that 47.6% of culture-positive pleural fluids were detected by Xpert Ultra; this study also included 2 pleural biopsy samples, both detected by Xpert Ultra. A prospective observational study revealed a poor sensitivity (37.5%) of Xpert Ultra for the diagnosis of bacteriologically and/or histopathologically confirmed pleural TB; moreover, the authors demonstrated that pleural fluid concentration did not significantly improve the sensitivity of Xpert Ultra (Meldau et al., 2019). Another study, conducted in a high-resource setting with low TB prevalence, reported a sensitivity of Xpert Ultra compared with culture of 50% on pleural fluid samples, showing the lowest sensitivity among non-respiratory samples (López-Roa et al., 2021); as previously described (Perez-Risco et al., 2018), also in this case, the only 2 culture-positive biopsy tissues were detected by Xpert Ultra (López-Roa et al., 2021). A further study that assessed Xpert Ultra against culture in pleural fluid specimens found a sensitivity of 66.7% (Mekkaoui et al., 2021). Finally, in a most recent study, Xpert Ultra on 27 pleural fluid and 27 biopsy tissue samples yielded a sensitivity of 48.1 and 81.5%, respectively, showing that Xpert Ultra with pleural biopsy alone had a diagnostic capacity equivalent to that of pathological examination for pleural TB diagnosis. Moreover, the “trace” positive outcome of Xpert Ultra was highly supportive of TB diagnosis for both biopsy tissue and pleural fluid examinations (Gao et al., 2021).

For all the studies mentioned above, Xpert Ultra showed a specificity ranging from 95.1% for biopsy and 98.5% for fluid to 100%. When evaluated, rifampicin susceptibility results of Xpert Ultra were fully concordant with phenotypic results.

From the above data, it appears that Xpert Ultra, even if it showed a variable sensitivity in the different studies, has a great potential in the rapid diagnosis of pleural TB. In fact, when its outcomes were integrated into the CRS, an obvious increase in the percentage of patients with defined TB was observed. Moreover, pleural biopsy tissues provided higher yields than pleural fluids; however, the sensitivity of Xpert Ultra in pleural biopsy specimens should be accurately assessed in larger populations.

Lymph Node Aspirate/Tissue

Tuberculosis lymphadenitis is a common extra-pulmonary manifestation of TB, both in low- and high- prevalence TB areas. Cervical lymph nodes are the most typical TB lymphadenopathy site (Qian et al., 2019). Perez-Risco et al. (2018) who evaluated the diagnostic performance of Xpert Ultra on 25 lymph node specimens with culture as the reference standard, showed a sensitivity of 94.1% and a specificity of 100%. Lower sensitivity of 75% vs. culture was reported in a multicenter study in a high-resource setting with low TB prevalence that included 51 lymph node tissues; the specificity was 95.3% (López-Roa et al., 2021). A recent large study, which assessed the performance of Xpert Ultra on 196 lymph node samples, reported a sensitivity of 95.6% and a specificity of 86.1% using a culture reference standard (Mekkaoui et al., 2021). Moreover, the diagnostic accuracy of Xpert Ultra for TB adenitis was prospectively evaluated on 99 adult patients from whom fine-needle aspirates (FNAs) and biopsy tissues were obtained using the CRS. Xpert Ultra sensitivity on FNAs was 70% and on tissues was 67% when compared with culture. Xpert Ultra on FNAs had a sensitivity of 78% and on tissues 90%; the specificity ranged from 96 to 100% using the CRS, and from 78 to 87% using culture as the reference standard. These findings support the use of Xpert Ultra on FNAs as an initial test when TB adenitis is suspected, as Xpert Ultra has a high sensitivity, is minimally invasive, and gives rapid results (Antel et al., 2020). More recently, Xpert Ultra has proved to be highly sensitive for the diagnosis of TB lymphadenitis in an HIV-endemic setting; this study reported sensitivity and a specificity of 91 and 76%, respectively, for 46 FNA biopsies using a culture and cytology reference standard (Minnies et al., 2021). Several other studies, which, however, analyzed a limited number of lymph node samples, demonstrated a significant diagnostic performance of Xpert Ultra in the detection of M. tuberculosis on lymph node specimens, supporting its use for the diagnosis of TB lymphadenitis, at least as an early test (Bisognin et al., 2018; Piersimoni et al., 2019; Hoel et al., 2020; Menichini et al., 2020).

Cerebrospinal Fluid

Tuberculosis meningitis is the most serious type of EPTB, determining high mortality and severe disabilities (Manyelo et al., 2021). Among individuals positive for HIV, TB meningitis causes mortality of over 50% (Wilkinson et al., 2017). Rapid diagnosis, hampered by the paucibacillary nature of the disease and small volume of CSF, and adequate treatment are essential for the control of meningeal TB. Xpert Ultra is recommended as the initial diagnostic test for suspected TB meningitis, as confirmed in a prospective cohort study aimed to evaluate the performance of Xpert Ultra in 129 adults positive for HIV in Uganda: Xpert Ultra sensitivity was 70% for probable or definite TB meningitis, and it increased to 95% against CRS (Bahr et al., 2018). A further evaluation of Xpert Ultra sensitivity in meningeal TB by Wang et al. tested 43 CSF specimens and showed a sensitivity of 44.% and 86.36, using the CRS and bacteriological positivity as reference standards, respectively (Wang et al., 2019). In another study performed on 11 patients with TB meningitis, the sensitivity of Xpert Ultra was 63.6% (Chin et al., 2019a). In a following prospective validation study, including 51 participants with probable or definite TB meningitis, Xpert Ultra had 75.5% sensitivity; against the composite microbiological reference standard, Xpert Ultra had a sensitivity of 92.9%. The authors concluded that, despite the high sensitivity, Xpert Ultra cannot be used as a rule-out test given the negative predictive value of 93% (Cresswell et al., 2020b). Similar conclusions were reported by Donovan et al. (2020), who, however, described a lower overall sensitivity of 59.5% in diagnosing meningeal TB; in this prospective, randomized, diagnostic accuracy study, the sensitivity of Xpert Ultra against a reference standard of definite, probable, and possible TB meningitis was 47.2%. In particular, in patients negative for HIV, the sensitivity was 38.9%, while in patients co-infected with HIV, the sensitivity was 64.3%. A diagnostic accuracy study from India that assessed the performance of Xpert Ultra on 204 CSF samples reported an overall sensitivity of 72.05% (96.42 and 62.83% for definite and probable TB meningitis, respectively, where definite TB indicates cases in which M. tuberculosis was isolated from CSF culture and probable TB indicates cases that were culture/smearnegative but had a diagnostic score of >10), and a specificity of 100% (Sharma et al., 2020). A further prospective multicenter study was conducted in China on 60 individuals with symptoms suggestive of TB meningitis; using microbiological evidence as a reference, the sensitivity of Xpert Ultra was 93.3%. Xpert correctly identified 28 cases of TB meningitis, indicating an overall sensitivity of 46.7% (Shao et al., 2020). More recently, Xpert Ultra on 160 CSF specimens yielded a sensitivity of 45% for definite, probable, and possible TB meningitis and 81% for definite TB meningitis, thus suggesting that Xpert Ultra, outperforming culture, may speed up the diagnosis and appropriate treatment of patients (Huang et al., 2021).

The studies described above show variability in the sensitivity values of Xpert Ultra, probably also due to the different protocols used, such as volume of CSF specimens, fresh or frozen samples, and centrifugation or not of the sample. As shown in Table 2, the sensitivity of Xpert Ultra increases with the centrifugation step; on the other hand, sample volume does not affect the performance of Xpert Ultra. The identification of a standardized procedure should be a priority to improve the management of TB meningitis. A recent study described optimal procedures for the detection of M. tuberculosis in CSF using Xpert Ultra, recommending careful attention to the collection, handling, and processing of CSF to maximize the performance of Xpert Ultra (Chin et al., 2019b). However, the contribution of Xpert Ultra is extremely valuable for rapid diagnosis of TB meningitis, and its application as an initial test on CSF could represent an excellent diagnostic tool.

TABLE 2.

Correlation between sensitivity of Xpert Ultra and cerebrospinal fluid (CSF) testing protocol.

Sensitivity
 CSF protocol
 References
vs Culture vs CRS Volume (ml) Fresh/Frozen Centrifugation step
44.2% 1 Fresh No Wang et al., 2019
90% 95.4% 0.5 Frozen Yes (10 ml centrifugated and resuspended in 2 ml) Bahr et al., 2018
80% 63.6% 2 Fresh No Chin et al., 2019a
92.9% 0.5 Fresh Yes (unknown ml centrifugated and resuspended in 2 ml) Cresswell et al., 2020b
90.9% 59.5% 0.2 Fresh Yes (6 ml centrifugated and resuspended in 0.5 ml) Donovan et al., 2020
96.4% 72% 1 Fresh No Sharma et al., 2020
46.7% 1 Fresh No Shao et al., 2020
71.4% 45% 1 Fresh No Huang et al., 2021
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Bone and Joint Fluid/Tissue

Diagnosis of osteoarticular TB is quite challenging given the low bacterial load present in joint and bone specimens and difficulty in obtaining specimens, since tubercle bacilli are present deep inside tissues. In Perez-Risco et al. (2018) analyzed several kinds of osteoarticular specimens, including 9 joint fluids, 3 paravertebral abscess aspirates, 5 osteitis abscess aspirates, 2 intervertebral disc biopsies, 4 bone biopsies, 3 synovial tissues, and 18 joint biopsies; the sensitivity of Xpert Ultra vs. culture ranged from 60% for osteitis abscess aspirates to 100% for the disc, bone, and synovial biopsies. In a study aimed at analyzing the diagnostic value of Xpert Ultra for osteoarticular TB in a high-burden setting, which included 132 osteoarticular pus specimens, sensitivities of 90.91 and 96.15 against the CRS and culture, respectively, were reported; when Xpert Ultra outcomes were integrated, the percentage of confirmed osteoarticular TB cases increased from 84 to 94%. Xpert Ultra showed a specificity of 100% and full concordance with the phenotypic test for the detection of rifampicin resistance (Sun et al., 2019). A recent study, which assessed the performance of Xpert Ultra on 27 osteoarticular samples, reported a sensitivity of 100% and a specificity of 87.5% using a culture reference standard (Mekkaoui et al., 2021). Therefore, Xpert Ultra was proved capable of detecting significantly more osteoarticular TB cases than culture, making it a helpful tool for rapid diagnosis of osteoarticular TB.

Urine

Urogenital TB, responsible for 15– 40% of EPTB cases, is one of the most common forms of EPTB in both less and more developed regions (Figueiredo et al., 2017). The disease is often associated with delayed diagnosis and treatment, leading to serious consequences, such as renal failure. To date, only a few studies, which included urine in the analysis of extra-pulmonary samples, have evaluated the performance of Xpert Ultra on urine specimens for the rapid diagnosis of urinary tract TB. Perez-Risco et al. (2018) who evaluated the diagnostic performance of Xpert Ultra on 24 urine specimens with culture as the reference standard, showed a sensitivity of 100% and a specificity of 100%. A further study, which analyzed a small number of urine samples, again reported a 100% sensitivity of Xpert Ultra against culture (López-Roa et al., 2021).

Recently, there has been a growing interest in using Xpert Ultra on urine specimens to diagnose non-genitourinary TB. A first study aimed to evaluate the performance of urine Xpert Ultra for pulmonary TB reported low sensitivity (17.2%) but high specificity (98.1%), in reference to sputum-based testing. However, the sensitivity of Xpert Ultra was higher than TB-lipoarabinomannan (TB-LAM) assay and reached 50% in patients positive for HIV, with CD4 <100 cells/ml, thus suggesting that Xpert Ultra on urine samples could be an alternative approach for individuals with advanced HIV infection and unable to produce sputum samples (Andama et al., 2020). Moreover, urine Xpert Ultra has been used to diagnose disseminated TB in a case report, showing to be a useful adjunctive diagnostic tool for HIV-associated TB (Atherton et al., 2018). A further study determined the prevalence of disseminated TB by testing urine specimens with Xpert Ultra in adults positive for HIV with suspected meningitis. Urine Xpert Ultra was positive in 12% of the tested cohort, and in 41% of patients with definite TB meningitis, demonstrating that urine is an additional viable clinical specimen for use with Xpert Ultra. Despite the lack of concordance between Xpert Ultra and TB-LAM assay, which needs further investigation, the use of Xpert Ultra with urine could represent a rapid and non-invasive test for suspected TB meningitis and a prognostic tool in individuals positive for HIV with TB meningitis (Cresswell et al., 2020a). A recent study by Minnies et al. assessed the performance of Xpert Ultra on urine samples for the diagnosis of TB lymphadenitis: Xpert Ultra had a low sensitivity (18%) and a high specificity (98%) when tested on urine specimens compared to FNA biopsies; none of the patients negative for HIV had any positive urine Xpert Ultra, while 12% of the patients positive for HIV were urine Xpert Ultra-positive, thus indicating that the use of Xpert Ultra on urine from patients positive for HIV with presumptive TB lymphadenitis could reduce invasive sampling (Minnies et al., 2021). Therefore, urine Xpert Ultra as a tool to diagnose pulmonary or disseminated TB seems to offer good diagnostic usefulness for patients infected with HIV.

Gastric Aspirate

Gastric aspirates represent an alternative type of specimen for the diagnosis of pulmonary TB in patients, especially children, who have difficulty producing sputum. Perez-Risco et al. (2018) found Xpert Ultra to be 75% sensitive for 4 culture-positive gastric aspirate specimens in adults. A multicenter accuracy study performed to evaluate the value of testing gastric aspirate with Xpert Ultra for diagnosis of childhood TB reported a sensitivity of 87.5 and 60.5% in bacteriologically confirmed TB and in total TB cases, respectively; in particular, the sensitivity was 80% in children aged <4 years, which is significantly higher than that in older children (48.1%). The specificity of Xpert ultra was 99.4%. In conclusion, the study showed that Xpert Ultra on gastric aspirate samples had a diagnostic value for the early and accurate diagnosis of TB, especially in younger children (Sun et al., 2020). More recently, the same authors analyzed the performance of Xpert Ultra on gastric aspirate specimens for the diagnosis of pediatric pulmonary TB in a high-burden area in China and reported an overall sensitivity of 52.5% and a sensitivity of 85.4% for 48 children with confirmed TB, concluding that gastric aspirate Xpert Ultra is an appropriate test for bacteriological TB confirmation in children (Sun et al., 2021).

Stool

Microbiological confirmation of pulmonary TB in children with sputum is often difficult given the low volume and poor quality of specimens; induced sputa and gastric aspirates, obtained by invasive procedures, have a low diagnostic yield and may be inaccessible in low-resource settings. Stool samples are easily obtainable and represent promising alternatives to respiratory specimens for childhood TB. Recently, some stool processing methods for Xpert Ultra have been developed (Lounnas et al., 2020; Jasumback et al., 2021). Perez-Risco et al. (2018) found Xpert Ultra to be 80% sensitive for 5 culture-positive stool specimens in adults. A cross-sectional study on children aged <15 years from Bangladesh that assessed the performance of Xpert Ultra on stool to diagnose pulmonary TB in children reported a sensitivity of 83.3% (60 were positive out of 72 bacteriologically confirmed cases); a high proportion of Xpert Ultra positive assays had trace results (Kabir et al., 2021). More recently, Sun et al. (2021) analyzed the performance of Xpert Ultra on stool specimens for the diagnosis of pediatric pulmonary TB in a high-TB burden and resource-limited area in China, and reported an overall sensitivity of 60.3%. Among 48 children with confirmed TB, Xpert Ultra testing was equally sensitive on stool and gastric aspirate specimens (85.4%); however, the agreement between Xpert on stool and on gastric aspirate was moderate in children with active TB (Sun et al., 2021). A prospective cohort study revealed a 45.5% sensitivity of Xpert Ultra using stool specimens for the diagnosis of pulmonary TB in children; moreover, the authors demonstrated that stool sample-based Xpert Ultra was a comparable alternative to M. tuberculosis culture on respiratory samples (Liu et al., 2021). In conclusion, testing stool specimens with Xpert Ultra may provide a useful diagnostic tool for detecting pediatric pulmonary TB.

Conclusion

Xpert Ultra represents the most recent advancement in the rapid molecular diagnosis of TB. Many studies have shown a potential for the use of Xpert Ultra in extra-pulmonary specimens. Xpert Ultra sensitivity differs by specimen type, with higher sensitivity among specimens obtained from lymph nodes (ranging from 50 to 100%) and CSF (ranging from 71.4 to 96.4%), and lower sensitivity when using pleural fluids (ranging from 47.6 to 84.2%). Moreover, the performance of Xpert Ultra proved to be particularly high in special populations, such as pediatric TB and HIV co-infected TB. In addition, the use of Xpert Ultra on extra-pulmonary samples, i.e., gastric aspirate and stool, has been demonstrated to be helpful for detecting pulmonary TB.

Although negative Xpert Ultra results are not sufficient to rule out TB, positive Xpert Ultra results may be useful in rapidly identifying EPTB cases, thus suggesting that Xpert Ultra is a useful rule-in rapid diagnostic test that can improve the definitive diagnosis of EPTB.

Author Contributions

LR reviewed the literature and wrote the manuscript.

Conflict of Interest

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

  1. Andama A., Jaganath D., Crowder R., Asege L., Nakaye M., Katumba D., et al. (2020). Accuracy and incremental yield of urine Xpert MTB/RIF Ultra versus determine TB-LAM for diagnosis of pulmonary tuberculosis. Diagn. Microbiol. Infect. Dis. 96:114892. 10.1016/j.diagmicrobio.2019.114892 [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Antel K., Oosthuizen J., Malherbe F., Louw V. J., Nicol M. P., Maartens G., et al. (2020). Diagnostic accuracy of the Xpert MTB/Rif Ultra for tuberculosis adenitis. BMC Infect. Dis. 20:33. 10.1186/s12879-019-4749-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Atherton R. R., Cresswell F. V., Ellis J., Skipper C., Tadeo K. K., Mugumya G., et al. (2018). Detection of Mycobacterium tuberculosis in urine by Xpert MTB/RIF Ultra: a useful adjunctive diagnostic tool in HIV-associated tuberculosis. Int. J. Infect. Dis. 75 92–94. 10.1016/j.ijid.2018.07.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Bahr N. C., Nuwagira E., Evans E. E., Cresswell F. V., Bystrom P. V., Byamukama A., et al. (2018). Diagnostic accuracy of XpertMTB/RIF Ultra for tuberculous meningitis in HIV-infected adults: a prospective cohort study. Lancet Infect. Dis. 18 68–75. 10.1016/S1473-3099(17)30474-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Bisognin F., Lombardi G., Lombardo D., Re M. C., Dal Monte P. (2018). Improvement of Mycobacterium tuberculosis detection by Xpert MTB/RIF Ultra: a head-to-head comparison on Xpert-negative samples. PLoS One 13:e0201934. 10.1371/journal.pone.0201934 [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Boehme C., Nabeta P., Hillemann D., Nicol M., Shenai S., Krapp F., et al. (2010). Rapid molecular detection of tuberculosis and rifampicin resistance. N. Engl. J. Med. 363 1005–1015. 10.1056/NEJMoa0907847 [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Chakravorty S., Simmons A. M., Rowneki M., Parmar H., Cao Y., Ryan J., et al. (2017). The new Xpert MTB/RIF Ultra: improving detection of Mycobacterium tuberculosis and resistance to rifampin in an assay suitable for point-of-care testing. mBio 8:e00812-17. 10.1128/mBio.00812-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Chin J. H., Musubire A. K., Morgan N., Pellinen J., Grossman S., Bhatt J. M., et al. (2019a). Xpert MTB/RIF Ultra for detection of Mycobacterium tuberculosis in cerebrospinal fluid. J. Clin. Microbiol. 57:e00249-19. 10.1128/JCM.00249-19 [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Chin J. H., Ssengooba W., Grossman S., Pellinen J., Wadda V. (2019b). Xpert MTB/RIF Ultra: optimal procedures for the detection of Mycobacterium tuberculosis in cerebrospinal fluid. J. Clin. Tuberc. Other Mycobact. Dis. 14 16–18. 10.1016/j.jctube.2019.01.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Cresswell F. V., Tugume L., Bahr N. C., Kwizera R., Bangdiwala A. S., Musubire A. K., et al. (2020b). Xpert MTB/RIF Ultra for the diagnosis of HIV-associated tuberculous meningitis: a prospective validation study. Lancet Infect. Dis. 20 308–317. 10.1016/S1473-3099(19)30550-X [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Cresswell F. V., Ellis J., Kagimu E., Bangdiwala A. S., Okirwoth M., Mugumya G., et al. (2020a). Standardized urine-based tuberculosis (TB) screening with TB-lipoarabinomannan and Xpert MTB/RIF Ultra in ugandan adults with advanced human immunodeficiency virus disease and suspected meningitis. Open Forum Infect. Dis. 7:ofaa100. 10.1093/ofid/ofaa100 [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Detjen A. K., DiNardo A. R., Leyden J., Steingart K. R., Menzies D., Schiller I., et al. (2015). Xpert MTB/RIF assay for the diagnosis of pulmonary tuberculosis in children: a systematic review and meta-analysis. Lancet Respir. Med. 3 451–461. 10.1016/S2213-2600(15)00095-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Donovan J., Thu D. D. A., Phu N. H., Dung V. T. M., Quang T. P., Nghia H. D. T. (2020). Xpert MTB/RIF Ultra versus Xpert MTB/RIF for the diagnosis of tuberculous meningitis: a prospective, randomised, diagnostic accuracy study. Lancet Infect. Dis. 20 299–307. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Dorman S. E., Schumacher S. G., Alland D., Nabeta P., Armstrong D. T., King B., et al. (2018). Xpert MTB/RIF Ultra for detection of Mycobacterium tuberculosis and rifampicin resistance: a prospective multicentre diagnostic accuracy study. Lancet Infect. Dis. 18 76–84. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Figueiredo A. A., Lucon A. M., Srougi M. (2017). Urogenital tuberculosis. Microbiolspectr 5. 10.1128/microbiolspec.TNMI7-0015-2016 [DOI] [PubMed] [Google Scholar]
  16. Gao S., Wang C., Yu X., Teng T., Shang Y., Jia J., et al. (2021). Xpert MTB/RIF Ultra enhanced tuberculous pleurisy diagnosis for patients with unexplained exudative pleural effusion who underwent a pleural biopsy via thoracoscopy: a prospective cohort study. Int. J. Infect. Dis. 106 370–375. 10.1016/j.ijid.2021.04.011 [DOI] [PubMed] [Google Scholar]
  17. Hodille E., Maisson A., Charlet L., Bauduin C., Genestet C., Fredenucci I., et al. (2019). Evaluation of Xpert MTB/RIF Ultra performance for pulmonary tuberculosis diagnosis on smear-negative respiratory samples in a French centre. Eur. J. Clin. Microbiol. Infect. Dis. 38 601–605. 10.1007/s10096-018-03463-1 [DOI] [PubMed] [Google Scholar]
  18. Hoel I. M., Syre H., Skarstein I., Mustafa T. (2020). Xpert MTB/RIF Ultra for rapid diagnosis of extrapulmonary tuberculosis in a high-income low-tuberculosis prevalence setting. Sci. Rep. 10:13959. 10.1038/s41598-020-70613-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Huang M., Wang G., Sun Q., Jiang G., Li W., Ding Z., et al. (2021). Diagnostic accuracy of Xpert MTB/RIF Ultra for tuberculous meningitis in a clinical practice setting of China. Diagn. Microbiol. Infect. Dis. 100:115306. 10.1016/j.diagmicrobio.2020.115306 [DOI] [PubMed] [Google Scholar]
  20. Jasumback C. L., Dlamini Q., Kahari J., Maphalala G., Dlamini M. G., Dube G. S., et al. (2021). Laboratory comparison of stool processing methods for Xpert® Ultra. Public Health Action. 11 55–57. 10.5588/pha.20.0079 [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Jiang J., Yang J., Shi Y., Jin Y., Tang S., Zhang N., et al. (2020). Head-to-head comparison of the diagnostic accuracy of Xpert MTB/RIF and Xpert MTB/RIF Ultra for tuberculosis: a meta-analysis. Infect. Dis. 52 763–775. 10.1080/23744235.2020.1788222 [DOI] [PubMed] [Google Scholar]
  22. Kabir S., Rahman S. M. M., Ahmed S., Islam M. S., Banu R. S., Shewade H. D., et al. (2021). Xpert Ultra assay on stool to diagnose pulmonary tuberculosis in children. Clin. Infect. Dis. 73 226–234. 10.1093/cid/ciaa583 [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Kolia-Diafouka P., Carrère-Kremer S., Lounnas M., Bourdin A., Kremer L., Van de Perre P., et al. (2019). Detection of Mycobacterium tuberculosis in paucibacillary sputum: performances of the Xpert MTB/RIF Ultra compared to the Xpert MTB/RIF, and IS6110 PCR. Diagn. Microbiol. Infect. Dis. 94 365–370. 10.1016/j.diagmicrobio.2019.02.008 [DOI] [PubMed] [Google Scholar]
  24. Lawn S. D., Brooks S. V., Kranzer K., Nicol M. P., Whitelaw A., Vogt M., et al. (2011). Screening for HIV-associated tuberculosis and rifampicin resistance before antiretroviral therapy using the Xpert MTB/RIF assay: a prospective study. PLoS Med. 8:e1001067. 10.1371/journal.pmed.1001067 [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Liu X. H., Xia L., Song B., Wang H., Qian X. Q., Wei J. H., et al. (2021). Stool-based Xpert MTB/RIF Ultra assay as a tool for detecting pulmonary tuberculosis in children with abnormal chest imaging: a prospective cohort study. J. Infect. 82 84–89. 10.1016/j.jinf.2020.10.036 [DOI] [PubMed] [Google Scholar]
  26. López-Roa P., Martin-Higuera C., Ruiz-Serrano M. J., Toro C., Tato M., Simon M., et al. (2021). Performance of Xpert MTB/RIF Ultra assay on respiratory and extra-respiratory samples in a high-resource setting with a low tuberculosis prevalence. Diagn. Microbiol. Infect. Dis. 99:115235. 10.1016/j.diagmicrobio.2020.115235 [DOI] [PubMed] [Google Scholar]
  27. Lounnas M., Diack A., Nicol M. P., Eyangoh S., Wobudeya E., Marcy O., et al. (2020). Laboratory development of a simple stool sample processing method diagnosis of pediatric tuberculosis using Xpert Ultra. Tuberculosis 125:102002. 10.1016/j.tube.2020.102002 [DOI] [PubMed] [Google Scholar]
  28. Manyelo C. M., Solomons R. S., Walzl G., Chegou N. N. (2021). Tuberculous meningitis: pathogenesis, immune responses, diagnostic challenges, and the potential of biomarker-based approaches. J. Clin. Microbiol. 59:e01771-20. 10.1128/JCM.01771-20 [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Maynard-Smith L., Larke N., Peters J. A., Lawn S. D. (2014). Diagnosticaccuracy of the Xpert MTB/RIF assay for extrapulmonary and pulmonarytuberculosiswhen testing non-respiratory samples: a systematic review. BMC Infect. Dis. 14:709. 10.1186/s12879-014-0709-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Mekkaoui L., Hallin M., Mouchet F., Payen M. C., Maillart E., Clevenbergh P., et al. (2021). Performance of Xpert MTB/RIF Ultra for diagnosis of pulmonary and extra-pulmonary tuberculosis, one year of use in a multi-centric hospital laboratory in Brussels. Belgium. PLoS One 16:e0249734. 10.1371/journal.pone.0249734 [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Meldau R., Randall P., Pooran A., Limberis J., Makambwa E., Dhansay M., et al. (2019). Same-day tools, including Xpert Ultra and IRISA-TB, for rapid diagnosis of pleural tuberculosis: a prospective observational study. J. Clin. Microbiol. 57:e00614-19. 10.1128/JCM.00614-19 [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Menichini M., Lari N., Lupetti A., Rindi L. (2020). Evaluation of Xpert MTB/RIF Ultra assay for rapid diagnosis of pulmonary and extra-pulmonary tuberculosis in an Italian center. Eur. J. Clin. Microbiol. Infect. Dis. 39 1597–1600. 10.1007/s10096-020-03867-y [DOI] [PubMed] [Google Scholar]
  33. Minnies S., Reeve B. W. P., Rockman L., Nyawo G., Naidoo C. C., Kitchin N., et al. (2021). Xpert MTB/RIF Ultra is highly sensitive for the diagnosis of tuberculosis lymphadenitis in an HIV-endemic setting. J. Clin. Microbiol. 59:e0131621. 10.1128/JCM.01316-21 [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Opota O., Zakham F., Mazza-Stalder J., Nicod L., Greub G., Jaton K. (2019b). Added value of Xpert MTB/RIF Ultra for diagnosis of pulmonary tuberculosis in a low-prevalence setting. J. Clin. Microbiol. 57:e01717-18. 10.1128/JCM.01717-18 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Opota O., Mazza-Stalder J., Greub G., Jaton K. (2019a). The rapid molecular test Xpert MTB/RIF Ultra: towards improved tuberculosis diagnosis and rifampicin resistance detection. Clin. Microbiol. Infect. 25 1370–1376. 10.1016/j.cmi.2019.03.021 [DOI] [PubMed] [Google Scholar]
  36. Park M., Kon O. M. (2021). Use of Xpert MTB/RIF and Xpert Ultra in extrapulmonary tuberculosis. Expert Rev. Anti. Infect. Ther. 19 65–77. 10.1080/14787210.2020.1810565 [DOI] [PubMed] [Google Scholar]
  37. Penz E., Boffa J., Roberts D. J., Fisher D., Cooper R., Ronksley P. E., et al. (2015). Diagnosticaccuracy of the Xpert MTB/RIF assay for extra-pulmonarytuberculosis: a meta-analysis. Int. J. Tuberc. Lung. Dis. 19 278–284. 10.5588/ijtld.14.0262 [DOI] [PubMed] [Google Scholar]
  38. Perez-Risco D., Rodriguez-Temporal D., Valledor-Sanchez I., Alcaide F. (2018). Evaluation of the Xpert MTB/RIF Ultra assay for direct detection of Mycobacterium tuberculosis complex in smear-negative extrapulmonary samples. J. Clin. Microbiol. 56:e00659-18. 10.1128/JCM.00659-18 [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Piersimoni C., Gherardi G., Gracciotti N., Pocognoli A. (2019). Comparative evaluation of Xpert MTB/RIF and the new Xpert MTB/RIF Ultra with respiratory and extra-pulmonary specimens for tuberculosis case detection in a low incidence setting. J. Clin. Tuberc. Other Mycobact. Dis. 15:100094. 10.1016/j.jctube.2019.100094 [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Qian X., Albers A. E., Nguyen D. T. M., Dong Y., Zhang Y., Schreiber F., et al. (2019). Head and neck tuberculosis: literature review and meta-analysis. Tuberculosis 116S S78–S88. 10.1016/j.tube.2019.04.014 [DOI] [PubMed] [Google Scholar]
  41. Sabi I., Rachow A., Mapamba D., Clowes P., Ntinginya N. E., Sasamalo M., et al. (2018). Xpert MTB/RIF Ultra assay for the diagnosis of pulmonary tuberculosis in children: a multicentre comparative accuracy study. J. Infect. 77 321–327. 10.1016/j.jinf.2018.07.002 [DOI] [PubMed] [Google Scholar]
  42. Shao L., Qiu C., Zheng L., Yang Y., Yang X., Liang Q., et al. (2020). Comparison of diagnostic accuracy of the GeneXpert Ultra and cell-free nucleic acid assay for tuberculous meningitis: a multicentre prospective study. Int. J. Infect. Dis. 98 441–446. 10.1016/j.ijid.2020.06.076 [DOI] [PubMed] [Google Scholar]
  43. Sharma K., Sharma M., Shree R., Modi M., Goyal M., Narang D., et al. (2020). Xpert MTB/RIF Ultra for the diagnosis of tuberculous meningitis: a diagnostic accuracy study from India. Tuberculosis 125:101990. 10.1016/j.tube.2020.101990 [DOI] [PubMed] [Google Scholar]
  44. Shaw J. A., Irusen E. M., Diacon A. H., Koegelenberg C. F. (2018). Pleural tuberculosis: a concise clinical review. Clin. Respir. J. 12 1779–1786. 10.1111/crj.12900 [DOI] [PubMed] [Google Scholar]
  45. Ssengooba W., Iragena J. D., Nakiyingi L., Mujumbi S., Wobudeya E., Mboizi R., et al. (2020). Accuracy of Xpert Ultra in diagnosis of pulmonary tuberculosis among children in uganda: a substudy from the SHINE Trial. J. Clin. Microbiol. 58:e00410-20. 10.1128/JCM.00410-20 [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Sun L., Liu Y., Fang M., Chen Y., Zhu Y., Xia C., et al. (2021). Use of Xpert MTB/RIF Ultra assay on stool and gastric aspirate samples to diagnose pulmonary tuberculosis in children in a high-tuberculosis burden but resource-limited area of China: diagnosis of childhood TB using stool. Int. J. Infect. Dis. S1201–9712, 858–864. 10.1016/j.ijid.2021.11.012 [DOI] [PubMed] [Google Scholar]
  47. Sun L., Zhu Y., Fang M., Shi Y., Peng X., Liao Q., et al. (2020). Evaluation of Xpert MTB/RIF Ultra assay for diagnosis of childhood tuberculosis: a multicenter accuracy study. J. Clin. Microbiol. 58 e00702-20. 10.1128/JCM.00702-20 [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Sun Q., Wang S., Dong W., Jiang G., Huo F., Ma Y., et al. (2019). Diagnostic value of Xpert MTB/RIF Ultra for osteoarticular tuberculosis. J. Infect. 79 153–158. 10.1016/j.jinf.2019.06.006 [DOI] [PubMed] [Google Scholar]
  49. Theron G., Peter J., Calligaro G., Meldau R., Hanrahan C., Khalfey H., et al. (2014). Determinants of PCR performance (Xpert MTB/RIF), including bacterial load and inhibition, for TB diagnosis using specimens from different body compartments. Sci. Rep. 4:5658. 10.1038/srep05658 [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Wang G., Wang S., Jiang G., Yang X., Huang M., Huo F., et al. (2019). Xpert MTB/RIF Ultra improved the diagnosis of paucibacillary tuberculosis: a prospective cohort study. J. Infect. 78 311–316. 10.1016/j.jinf.2019.02.010 [DOI] [PubMed] [Google Scholar]
  51. Wang G., Wang S., Yang X., Sun Q., Jiang G., Huang M., et al. (2020). Accuracy of Xpert MTB/RIF Ultra for the diagnosis of pleural TB in a multicenter cohort study. Chest 157 268–275. 10.1016/j.chest.2019.07.027 [DOI] [PubMed] [Google Scholar]
  52. Wilkinson R. J., Rohlwink U., Misra U. K., van Crevel R., Mai N. T. H., Dooley K. E., et al. (2017). Tuberculous meningitis. Nat. Rev. Neurol. 13 581–598. 10.1038/nrneurol.2017.120 [DOI] [PubMed] [Google Scholar]
  53. World Health Organization [WHO] (2020). Global Tuberculosis Report 2020: Executive Summary. Geneva: WHO. [Google Scholar]
  54. Wu X., Tan G., Gao R., Yao L., Bi D., Guo Y., et al. (2019). Assessment of the Xpert MTB/RIF Ultra assay on rapid diagnosis of extrapulmonary tuberculosis. Int. J. Infect. Dis. 81 91–96. 10.1016/j.ijid.2019.01.050 [DOI] [PubMed] [Google Scholar]
  55. Zhang M., Xue M., He J. Q. (2020). Diagnostic accuracy of the new Xpert MTB/RIF Ultra for tuberculosis disease: a preliminary systematic review and meta-analysis. Int. J. Infect. Dis. 90 35–45. 10.1016/j.ijid.2019.09.016 [DOI] [PubMed] [Google Scholar]

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