Literature DB >> 32543658

Xpert MTB/RIF Ultra for the Diagnosis of Tuberculous Meningitis: A Small Step Forward.

Joseph Donovan1,2, Fiona V Cresswell3,4,5, Nguyen Thuy Thuong Thuong1,2, David R Boulware6, Guy E Thwaites1,2, Nathan C Bahr7.   

Abstract

The delayed diagnosis of tuberculous meningitis (TBM) leads to poor outcomes, yet the current diagnostic methods for identifying Mycobacterium tuberculosis in cerebrospinal fluid (CSF) are inadequate. The first comparative study of the new GeneXpert MTB/RIF Ultra (Xpert Ultra) for TBM diagnosis suggested increased sensitivity of Xpert Ultra. Two subsequent studies have shown Xpert Ultra has improved sensitivity, but has insufficient negative predictive value to exclude TBM. Collecting and processing large volumes of CSF for mycobacterial testing are important for optimal diagnostic test performance. But clinical, radiological, and laboratory parameters remain essential for TBM diagnosis and empiric therapy is often needed. We therefore caution against the use of Xpert Ultra as a single diagnostic test for TBM; it cannot be used to "rule out" TBM.
© The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America.

Entities:  

Keywords:  Ultra; Xpert; cerebrospinal fluid; diagnosis; tuberculous meningitis

Mesh:

Year:  2020        PMID: 32543658      PMCID: PMC7643749          DOI: 10.1093/cid/ciaa473

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


Tuberculous meningitis (TBM) is the most severe form of tuberculosis (TB), leading to death in 30–50% of individuals despite treatment [1-4]. Early diagnosis of TBM is vital and delayed diagnosis leads to poor clinical outcomes [5]. Confirming a TBM diagnosis requires identification of Mycobacterium tuberculosis (Mtb) in cerebrospinal fluid (CSF). However, unlike sputum in pulmonary TB, there are few bacteria in the CSF, and Mtb detection is often challenging. Conventional TBM diagnosis depends upon CSF Ziehl-Neelsen (ZN) smear microscopy to detect acid-fast bacilli (AFB), CSF mycobacterial culture, and, if available, detection of mycobacterial DNA in CSF. Each test modality has advantages and limitations. Ziehl-Neelsen smear microscopy can be performed quickly and requires minimal specialist equipment, yet it is often insensitive and true positive cases are frequently missed [6]. ZN smear sensitivity is influenced by CSF processing steps and microscopist expertise, with sensitivities of usually 10–50% [7-9] and rarely higher [10, 11]. Mycobacterial culture, when positive, allows drug susceptibility testing; however, results are usually not available for at least 2 weeks, too late to guide early anti-TB chemotherapy. In contrast, fully automated polymerase chain reaction (PCR) testing with Xpert MTB/RIF (Xpert) testing using the GeneXpert platform (Cepheid, Sunnyvale, CA) can generate results in under 2 hours and, if positive, includes rifampicin resistance prediction. While generally cheaper than culture techniques, the Xpert per cartridge cost is approximately $10 in countries eligible for concessional pricing, and cartridge provision remains heavily supported by donor organizations in many settings. In recent TBM studies [9, 11–14], sensitivity of mycobacterial culture ranged from 26% to 67%, and sensitivity of Xpert ranged from 18% to 59%. Xpert has been rapidly adopted worldwide largely due to its speed and ease of use allowing for reduced reliance upon time-consuming smear microscopy by experienced technicians. While some training is required to run the Xpert instrument, much less expertise and time are required than are needed to accurately diagnose TBM by smear microscopy—few in the world have mastered this skill. Neither of these tests is adequate for TBM diagnosis, and so a high degree of clinical suspicion and a low threshold to initiate empiric anti-TB chemotherapy are crucial to successful outcomes from TBM treatment. All currently available diagnostic tests for TBM rely on CSF sampling, which presents a barrier to improving TBM diagnosis, as CSF sampling may be delayed, unavailable or contraindicated in some settings. To address limitations with Xpert for TB diagnosis, the Xpert MTB/RIF Ultra (Xpert Ultra) cartridge was developed [15]. Modifications in the Xpert Ultra cartridge include a larger reaction chamber to double the amount of sample, and thereby DNA, tested, as well as incorporation of 2 additional multicopy amplification target genes (IS6110 and IS1081) [15]. In contrast to the single rpoB gene, the IS6110 and IS1081 genes appear in variable numbers between Mtb lineages and within a single lineage [15, 16]. These cartridge modifications aimed to improve diagnostic sensitivity and improve reliability of rifampicin-resistance detection. In vitro, the lower limit of detection decreased to approximately 16 colony forming units (CFU)/mL from approximately 100–120 CFU/mL for Xpert, similar to culture (~10 CFU/mL) [15]. Complicating efforts to improve TBM diagnosis is the fact that no single reference “gold standard” test exists. Typically, new tests are measured against mycobacterial culture alone, composite reference standards (positive ZN smear microscopy, Xpert or mycobacterial culture), or consensus clinical case definitions [17]. A composite reference standard may represent all microbiologically confirmed TBM, not just that confirmed by mycobacterial culture, as culture is known to be only moderately sensitive. Inclusion of Xpert Ultra (the index test) in a composite reference standard aims to more accurately estimate Xpert Ultra sensitivity (ie, it allows samples positive only by Xpert Ultra to be in the reference standard, with an assumption that the likelihood of false-positive Xpert Ultra tests is very low). However, Xpert Ultra specificity cannot be assessed with this approach (specificity would always be 100%; all tests would be true positives). Each reference standard has its own issues and presenting a combination of these possibilities gives the reader the most complete picture of test performance, albeit with caveats. Regardless of the standard(s) used, it is clear that cases of TBM are being missed with currently available diagnostic tests. It is against this range of reference standards that Xpert Ultra has been evaluated. The World Health Organization (WHO) recommended that Xpert Ultra replace Xpert in all settings in March 2017 [18]. This followed on from a 2014 WHO Xpert implementation manual [19], which strongly recommended that “Xpert should be used in preference to conventional microscopy and culture as the initial diagnostic test for cerebrospinal fluid (CSF).” After the 2014 WHO recommendation regarding Xpert for TBM, the Tuberculous Meningitis International Research Consortium authored a statement conveying that, while it was reasonable to use Xpert as the first test for TBM, it should not be the last test, as Xpert was not sufficiently accurate to “rule out” TBM [20]. The initial study of Xpert Ultra for TBM diagnosis was promising. Among 129 Ugandan adults with human immunodeficiency virus (HIV) with suspected meningitis (23 with definite or probable TBM), diagnostic sensitivities of Xpert Ultra, Xpert, and mycobacterial culture were 69.6% (95% confidence interval [CI], 47.1–86.8%), 43.5% (95% CI, 23.2–65.5%), and 43.5% (95% CI, 23.2–65.5%) [14]. Against a composite microbiological reference standard (Xpert, culture, or Xpert Ultra), Xpert Ultra sensitivity was 95.5% versus 45.5% for culture or Xpert. Importantly, even in the best-case scenario (the composite microbiological reference standard), Xpert Ultra did not detect all TBM cases. In January 2020, 2 larger prospective studies evaluating Xpert Ultra were published. In the study by Cresswell et al [13], 204 Ugandan adults (96% coinfected with HIV) with suspected meningitis had CSF Xpert Ultra performed. Compared with a reference of definite or probable TBM, test sensitivities were 76.5% (95% CI, 62.5–87.2%) for Xpert Ultra, 55.6% (95% CI, 44.0–70.4%) for Xpert, and 61.4% (95% CI, 45.5–75.6%) for mycobacterial culture. In this study “possible TBM” cases were not included in the reference standard as this category is nonspecific in HIV coinfection due to concomitant brain pathologies associated with advanced immunosuppression. In the second study, Donovan et al [12] randomized 205 Vietnamese adults (15% coinfected with HIV) with meningitis to either Xpert Ultra or Xpert testing. Against a reference standard of definite, probable, or possible TBM, test sensitivities were 47.2% (95% CI, 34.4–60.3%) for Xpert Ultra, 39.6% (95% CI, 27.6–53.1%) for Xpert, and 47.9% (95% CI, 38.0–57.9%) for mycobacterial culture. As with Xpert [11], specificity of Xpert Ultra for TBM diagnosis was high in both studies [12, 13]. Xpert Ultra sensitivity was statistically superior to that of Xpert in Uganda but not in a predominantly HIV-negative Vietnam population. The TBM diagnostic studies using Xpert Ultra are summarized in Table 1.
Table 1.

Summary of Tuberculous Meningitis Diagnostic Studies Using Xpert MTB/RIF Ultra

First Author, Year of PublicationLocationType of StudyHIV Infection, % (n/N) Reference Standard(s) (No. of TBM Cases)Xpert Ultra Sensitivity, % (n/N)Negative Predictive Value, % (n/N)
Donovan et al [12], 2020VietnamRandomised, prospective diagnostic study of meningitis suspects25 (27/108)Definite, probable, possible TBM (n = 108)47 (25/53)61 (44/72)
Definite, probable TBM (n = 88)58 (25/43)75 (54/72)
Definite TBM (n = 82)60 (25/42)76 (55/72)
Positive mycobacterial culture (n = 45)91 (20/22)97 (62/64)
Cresswell et al [13], 2020UgandaProspective cohort of meningitis suspects 98 (50/51)Definite, probable TBM (n = 51)77 (39/51)93 (153/165)
98 (41/42)Composite microbiologic standard (n = 42)93 (39/42)98 (153/156)
Wang et al [21], 2019ChinaProspective cohort in paucibacillary TB (inclusive of TBM)a0 (0/43)Definite, probable, possible TBM (n = 43)44 (19/43)42 (17/41)
Composite microbiologic standard (n = 22)86 (19/22)NA
Bahr et al [14], 2018UgandaProspective cohort with retrospective CSF testing of meningitis suspects100 (23/23)Definite, probable TBM (n = 23)70 (16/23)94 (100/107)
Composite microbiologic standard (n = 22)96 (21/22)99 (106/107)
Wu et al [22], 2019ChinaProspective diagnostic study in extrapulmonary TB (inclusive of TBM)a0 (0/16)Composite microbiologic standard (n = 16)13 (2/16)NA
Chin et al [23], 2019UgandaCase series of testing in suspected TBM18 (2/11)Suspected TBM (n = 11)64 (7/11)NA
Perez-Risco et al [24], 2018SpainEvaluation of smear-negative extrapulmonary samples (inclusive of TBM)aNot statedPositive mycobacterial culture (n = 3)100 (3/3)NA

Abbreviations: CSF, cerebrospinal fluid; HIV, human immunodeficiency virus; NA, not available; TB, tuberculosis; TBM, tuberculous meningitis.

aFor studies of paucibacillary or extrapulmonary TB, data shown only for TBM cases. Definite, probable, or possible TBM defined per the research uniform case definition [17]. Composite microbiologic standard = positive by CSF testing of microscopy, Xpert MTB/RIF, Xpert MTB/RIF Ultra, or mycobacterial culture.

Summary of Tuberculous Meningitis Diagnostic Studies Using Xpert MTB/RIF Ultra Abbreviations: CSF, cerebrospinal fluid; HIV, human immunodeficiency virus; NA, not available; TB, tuberculosis; TBM, tuberculous meningitis. aFor studies of paucibacillary or extrapulmonary TB, data shown only for TBM cases. Definite, probable, or possible TBM defined per the research uniform case definition [17]. Composite microbiologic standard = positive by CSF testing of microscopy, Xpert MTB/RIF, Xpert MTB/RIF Ultra, or mycobacterial culture. What can be learned from these studies? First, diagnostic tests cannot be expected to perform identically in all settings. Differences in tested CSF volume, CSF processing, HIV coinfection, genetics influencing host response to Mtb, and Mtb lineages could all contribute to these different results, as could the differences in study design (eg, dividing specimens among the tests vs randomizing samples) and smear microscopy sensitivity. Second, regardless of the differences in the exact performance of Xpert Ultra, the most important point is that, while Xpert Ultra seems to be some improvement on Xpert, its negative predictive value is not sufficiently high to exclude TBM when the result is negative. Following on from the opinion piece published by Bahr et al [20] in 2016, we wish to caution against the use of Xpert Ultra or Xpert as single diagnostic tests for TBM. Focus should be placed on collecting and processing large volumes of CSF (>6 mL, just for mycobacterial testing), maximizing the number of Mtb bacteria in the tested sample, and improving chances of confirming a diagnosis of TBM. Centrifugation of CSF (3000 g for 15 minutes) concentrates Mtb in the pellet and improves diagnostic sensitivity [8]. To optimize the performance of ZN smear microscopy, an appropriate time should be spent reading CSF smear slides before considering them negative. Microscopist skill and experience are hugely important, although they are hard to quantify. Clinical, radiological, and laboratory parameters remain essential. Symptoms of meningitis for more than 5 days [17] should lead to suspicion of TBM, and focal neurological deficits are common. Chest radiograph may demonstrate miliary or pulmonary TB, and brain imaging may show evidence of cerebral infarcts, basal meningeal enhancement, or hydrocephalus. Where CSF testing fails, diagnostic testing of other potentially involved sites may provide microbiological evidence of TB elsewhere. For example, sputum Xpert may detect Mtb, or urine TB-lipoarabinomannan (TB-LAM) may provide evidence of disseminated TB in patients coinfected with HIV. Lymphocytic, low-glucose, high-protein CSF is classically seen in TBM but is not always present and exclusion of cryptococcal meningitis is essential in immunosuppressed patients [25]. Repeat lumbar puncture after 48–72 hours may be valuable in patients who fail to improve with routine antibiotics, or in whom diagnosis remains unclear. Tuberculous meningitis remains a devastating disease, and advances in the diagnostic field are being made. While Xpert Ultra represents a step forward in TBM diagnosis, Xpert Ultra cannot fully exclude this disease. Host biomarkers and antigen detection from CSF may have a future role in TBM diagnosis, but more studies are needed [26, 27]. Studies of Xpert Ultra for the diagnosis of pediatric TBM are also needed. The Tuberculous Meningitis International Research Consortium, which includes clinicians, basic scientists, and clinical pharmacologists, continues to meet regularly, most recently in March 2019 in Lucknow, India, to advance the TBM research and policy agenda [28]. Policy makers, while adopting improved technologies, must resist the temptation to point to any single test as a perfect tool. It is crucial that while adopting Xpert Ultra, clinicians keep in mind that this test is not perfect and cannot “rule out” TBM. The search for new and improved diagnostic tests must go on.
  26 in total

1.  Assessment of the Xpert MTB/RIF Ultra assay on rapid diagnosis of extrapulmonary tuberculosis.

Authors:  Xiaocui Wu; Guangkun Tan; Rongliang Gao; Lan Yao; Dexi Bi; Yinjuan Guo; Fangyou Yu; Lin Fan
Journal:  Int J Infect Dis       Date:  2019-02-07       Impact factor: 3.623

2.  Dexamethasone for the treatment of tuberculous meningitis in adolescents and adults.

Authors:  Guy E Thwaites; Duc Bang Nguyen; Huy Dung Nguyen; Thi Quy Hoang; Thi Tuong Oanh Do; Thi Cam Thoa Nguyen; Quang Hien Nguyen; Tri Thuc Nguyen; Ngoc Hai Nguyen; Thi Ngoc Lan Nguyen; Ngoc Lan Nguyen; Hong Duc Nguyen; Ngoc Tuan Vu; Huu Hiep Cao; Thi Hong Chau Tran; Phuong Mai Pham; Thi Dung Nguyen; Kasia Stepniewska; Nicholas J White; Tinh Hien Tran; Jeremy J Farrar
Journal:  N Engl J Med       Date:  2004-10-21       Impact factor: 91.245

3.  Absence of cerebrospinal fluid pleocytosis in tuberculous meningitis is a common occurrence in HIV co-infection and a predictor of poor outcomes.

Authors:  Fiona V Cresswell; Ananta S Bangdiwala; David B Meya; Nathan C Bahr; Jose E Vidal; M Estée Török; Le Thi Phuong Thao; Guy E Thwaites; David R Boulware
Journal:  Int J Infect Dis       Date:  2018-01-31       Impact factor: 3.623

4.  Improved diagnostic sensitivity for tuberculous meningitis with Xpert(®) MTB/RIF of centrifuged CSF.

Authors:  N C Bahr; L Tugume; R Rajasingham; R Kiggundu; D A Williams; B Morawski; D Alland; D B Meya; J Rhein; D R Boulware
Journal:  Int J Tuberc Lung Dis       Date:  2015-10       Impact factor: 2.373

5.  Long-term mortality in patients with tuberculous meningitis: a Danish nationwide cohort study.

Authors:  Anne-Sophie Halkjær Christensen; Casper Roed; Lars Haukali Omland; Peter Henrik Andersen; Niels Obel; Åse Bengaard Andersen
Journal:  PLoS One       Date:  2011-11-22       Impact factor: 3.240

6.  Xpert MTB/RIF Ultra for the diagnosis of HIV-associated tuberculous meningitis: a prospective validation study.

Authors:  Fiona V Cresswell; Lillian Tugume; Nathan C Bahr; Richard Kwizera; Ananta S Bangdiwala; Abdu K Musubire; Morris Rutakingirwa; Enock Kagimu; Edwin Nuwagira; Edward Mpoza; Joshua Rhein; Darlisha A Williams; Conrad Muzoora; Daniel Grint; Alison M Elliott; David B Meya; David R Boulware
Journal:  Lancet Infect Dis       Date:  2020-01-07       Impact factor: 71.421

7.  Xpert MTB/RIF Ultra versus Xpert MTB/RIF for the diagnosis of tuberculous meningitis: a prospective, randomised, diagnostic accuracy study.

Authors:  Joseph Donovan; Do Dang Anh Thu; Nguyen Hoan Phu; Vu Thi Mong Dung; Tran Phu Quang; Ho Dang Trung Nghia; Pham Kieu Nguyet Oanh; Tran Bao Nhu; Nguyen Van Vinh Chau; Vu Thi Ngoc Ha; Vu Thi Ty Hang; Dong Huu Khanh Trinh; Ronald B Geskus; Le Van Tan; Nguyen Thuy Thuong Thuong; Guy E Thwaites
Journal:  Lancet Infect Dis       Date:  2020-01-07       Impact factor: 71.421

8.  Early diagnosis of tuberculous meningitis by an indirect ELISA protocol based on the detection of the antigen ESAT-6 in cerebrospinal fluid.

Authors:  F Song; X Sun; X Wang; Y Nai; Z Liu
Journal:  Ir J Med Sci       Date:  2013-07-18       Impact factor: 1.568

9.  The New Xpert MTB/RIF Ultra: Improving Detection of Mycobacterium tuberculosis and Resistance to Rifampin in an Assay Suitable for Point-of-Care Testing.

Authors:  Soumitesh Chakravorty; Ann Marie Simmons; Mazhgan Rowneki; Heta Parmar; Yuan Cao; Jamie Ryan; Padmapriya P Banada; Srinidhi Deshpande; Shubhada Shenai; Alexander Gall; Jennifer Glass; Barry Krieswirth; Samuel G Schumacher; Pamela Nabeta; Nestani Tukvadze; Camilla Rodrigues; Alena Skrahina; Elisa Tagliani; Daniela M Cirillo; Amy Davidow; Claudia M Denkinger; David Persing; Robert Kwiatkowski; Martin Jones; David Alland
Journal:  mBio       Date:  2017-08-29       Impact factor: 7.867

10.  New insights into the transposition mechanisms of IS6110 and its dynamic distribution between Mycobacterium tuberculosis Complex lineages.

Authors:  Jesús Gonzalo-Asensio; Irene Pérez; Nacho Aguiló; Santiago Uranga; Ana Picó; Carlos Lampreave; Alberto Cebollada; Isabel Otal; Sofía Samper; Carlos Martín
Journal:  PLoS Genet       Date:  2018-04-12       Impact factor: 5.917

View more
  7 in total

1.  Cerebrospinal fluid AFB smear in adults with tuberculous meningitis: A systematic review and diagnostic test accuracy meta-analysis.

Authors:  Anna M Stadelman; Kenneth Ssebambulidde; Alexandria Buller; Lillian Tugume; Kyle Yuquimpo; Caitlin J Bakker; David R Boulware; Nathan C Bahr
Journal:  Tuberculosis (Edinb)       Date:  2022-06-24       Impact factor: 2.973

Review 2.  Improving Technology to Diagnose Tuberculous Meningitis: Are We There Yet?

Authors:  Kenneth Ssebambulidde; Jane Gakuru; Jayne Ellis; Fiona V Cresswell; Nathan C Bahr
Journal:  Front Neurol       Date:  2022-05-30       Impact factor: 4.086

Review 3.  Defeating Paediatric Tuberculous Meningitis: Applying the WHO "Defeating Meningitis by 2030: Global Roadmap".

Authors:  Robindra Basu Roy; Sabrina Bakeera-Kitaka; Chishala Chabala; Diana M Gibb; Julie Huynh; Hilda Mujuru; Naveen Sankhyan; James A Seddon; Suvasini Sharma; Varinder Singh; Eric Wobudeya; Suzanne T Anderson
Journal:  Microorganisms       Date:  2021-04-16

4.  The Sensitivity of Diagnostic Criteria of Marais S, et al. in Confirmed Childhood Tuberculous Meningitis.

Authors:  Mao-Shui Wang; Jun-Li Wang; Xin-Jie Liu; Yan-An Zhang
Journal:  Front Pediatr       Date:  2022-02-16       Impact factor: 3.418

5.  Diagnostic and Prognostic Value of Cerebrospinal Fluid Lactate and Glucose in HIV-Associated Tuberculosis Meningitis.

Authors:  Nathan C Bahr; Fiona V Creswell; Edwin Nuwagira; Kathy Huppler Hullsiek; Samuel Jjunju; Morris Rutakingirwa; John Kasibante; Kiiza Kandole Tadeo; Enock Kagimu; Lillian Tugume; Kenneth Ssebambulidde; Abdu K Musubire; Ananta Bangdiwala; Conrad Muzoora; David B Meya; David R Boulware
Journal:  Microbiol Spectr       Date:  2022-06-21

6.  Differences in cytokine and chemokine profiles in cerebrospinal fluid caused by the etiology of cryptococcal meningitis and tuberculous meningitis in HIV patients.

Authors:  Lijun Xu; Yufan Xu; Yanghao Zheng; Xiuming Peng; Zongxing Yang; Qing Cao; Dairong Xiang; Handan Zhao
Journal:  Clin Exp Immunol       Date:  2021-08-08       Impact factor: 5.732

Review 7.  Tuberculous Meningitis in Children: Reducing the Burden of Death and Disability.

Authors:  Julie Huynh; Yara-Natalie Abo; Karen du Preez; Regan Solomons; Kelly E Dooley; James A Seddon
Journal:  Pathogens       Date:  2021-12-30
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.