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      Xpert MTB/RIF and Xpert MTB/RIF Ultra for pulmonary tuberculosis and rifampicin resistance in adults

      systematic-review
      , , , , , , , , ,
      The Cochrane Database of Systematic Reviews
      John Wiley & Sons, Ltd
      Adult, Humans, Drug Resistance, Bacterial, Antibiotics, Antitubercular, Antibiotics, Antitubercular/therapeutic use, Mycobacterium tuberculosis, Mycobacterium tuberculosis/drug effects, Mycobacterium tuberculosis/genetics, Mycobacterium tuberculosis/isolation & purification, Polymerase Chain Reaction, Polymerase Chain Reaction/methods, Rifampin, Rifampin/therapeutic use, Sensitivity and Specificity, Sequence Analysis, DNA, Sequence Analysis, DNA/methods, Tuberculosis, Pulmonary, Tuberculosis, Pulmonary/diagnosis, Tuberculosis, Pulmonary/drug therapy

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          Abstract

          Background

          Xpert MTB/RIF (Xpert MTB/RIF) and Xpert MTB/RIF Ultra (Xpert Ultra), the newest version, are the only World Health Organization (WHO)‐recommended rapid tests that simultaneously detect tuberculosis and rifampicin resistance in persons with signs and symptoms of tuberculosis, at lower health system levels. A previous Cochrane Review found Xpert MTB/RIF sensitive and specific for tuberculosis (Steingart 2014). Since the previous review, new studies have been published. We performed a review update for an upcoming WHO policy review.

          Objectives

          To determine diagnostic accuracy of Xpert MTB/RIF and Xpert Ultra for tuberculosis in adults with presumptive pulmonary tuberculosis (PTB) and for rifampicin resistance in adults with presumptive rifampicin‐resistant tuberculosis.

          Search methods

          We searched the Cochrane Infectious Diseases Group Specialized Register, MEDLINE, Embase, Science Citation Index, Web of Science, Latin American Caribbean Health Sciences Literature, Scopus, the WHO International Clinical Trials Registry Platform, the International Standard Randomized Controlled Trial Number Registry, and ProQuest, to 11 October 2018, without language restriction.

          Selection criteria

          Randomized trials, cross‐sectional, and cohort studies using respiratory specimens that evaluated Xpert MTB/RIF, Xpert Ultra, or both against the reference standard, culture for tuberculosis and culture‐based drug susceptibility testing or MTBDR plus for rifampicin resistance.

          Data collection and analysis

          Four review authors independently extracted data using a standardized form. When possible, we also extracted data by smear and HIV status. We assessed study quality using QUADAS‐2 and performed meta‐analyses to estimate pooled sensitivity and specificity separately for tuberculosis and rifampicin resistance. We investigated potential sources of heterogeneity. Most analyses used a bivariate random‐effects model. For tuberculosis detection, we first estimated accuracy using all included studies and then only the subset of studies where participants were unselected, i.e. not selected based on prior microscopy testing.

          Main results

          We identified in total 95 studies (77 new studies since the previous review): 86 studies (42,091 participants) evaluated Xpert MTB/RIF for tuberculosis and 57 studies (8287 participants) for rifampicin resistance. One study compared Xpert MTB/RIF and Xpert Ultra on the same participant specimen.

          Tuberculosis detection

          Of the total 86 studies, 45 took place in high tuberculosis burden and 50 in high TB/HIV burden countries. Most studies had low risk of bias.

          Xpert MTB/RIF pooled sensitivity and specificity (95% credible Interval (CrI)) were 85% (82% to 88%) and 98% (97% to 98%), (70 studies, 37,237 unselected participants; high‐certainty evidence). We found similar accuracy when we included all studies.

          For a population of 1000 people where 100 have tuberculosis on culture, 103 would be Xpert MTB/RIF‐positive and 18 (17%) would not have tuberculosis (false‐positives); 897 would be Xpert MTB/RIF‐negative and 15 (2%) would have tuberculosis (false‐negatives).

          Xpert Ultra sensitivity (95% confidence interval (CI)) was 88% (85% to 91%) versus Xpert MTB/RIF 83% (79% to 86%); Xpert Ultra specificity was 96% (94% to 97%) versus Xpert MTB/RIF 98% (97% to 99%), (1 study, 1439 participants; moderate‐certainty evidence).

          Xpert MTB/RIF pooled sensitivity was 98% (97% to 98%) in smear‐positive and 67% (62% to 72%) in smear‐negative, culture‐positive participants, (45 studies). Xpert MTB/RIF pooled sensitivity was 88% (83% to 92%) in HIV‐negative and 81% (75% to 86%) in HIV‐positive participants; specificities were similar 98% (97% to 99%), (14 studies).

          Rifampicin resistance detection

          Xpert MTB/RIF pooled sensitivity and specificity (95% Crl) were 96% (94% to 97%) and 98% (98% to 99%), (48 studies, 8020 participants; high‐certainty evidence).

          For a population of 1000 people where 100 have rifampicin‐resistant tuberculosis, 114 would be positive for rifampicin‐resistant tuberculosis and 18 (16%) would not have rifampicin resistance (false‐positives); 886 would be would be negative for rifampicin‐resistant tuberculosis and four (0.4%) would have rifampicin resistance (false‐negatives).

          Xpert Ultra sensitivity (95% CI) was 95% (90% to 98%) versus Xpert MTB/RIF 95% (91% to 98%); Xpert Ultra specificity was 98% (97% to 99%) versus Xpert MTB/RIF 98% (96% to 99%), (1 study, 551 participants; moderate‐certainty evidence).

          Authors' conclusions

          We found Xpert MTB/RIF to be sensitive and specific for diagnosing PTB and rifampicin resistance, consistent with findings reported previously. Xpert MTB/RIF was more sensitive for tuberculosis in smear‐positive than smear‐negative participants and HIV‐negative than HIV‐positive participants. Compared with Xpert MTB/RIF, Xpert Ultra had higher sensitivity and lower specificity for tuberculosis and similar sensitivity and specificity for rifampicin resistance (1 study). Xpert MTB/RIF and Xpert Ultra provide accurate results and can allow rapid initiation of treatment for multidrug‐resistant tuberculosis.

          Xpert MTB/RIF and Xpert Ultra for diagnosing pulmonary tuberculosis and rifampicin resistance in adults

          Why is improving the diagnosis of pulmonary tuberculosis important?

          Tuberculosis causes more deaths globally than any other infectious disease. When detected early and effectively treated, tuberculosis is largely curable, but in 2017, around 1.6 million people died of tuberculosis. Xpert MTB/RIF and Xpert Ultra, the newest version, are World Health Organization‐recommended tests that simultaneously detect tuberculosis and rifampicin resistance in persons with tuberculosis symptoms. Rifampicin is an important anti‐tuberculosis drug. Not recognizing tuberculosis early may result in delayed diagnosis and treatment, severe illness, and death. An incorrect tuberculosis diagnosis may result in anxiety and unnecessary treatment.

          What is the aim of this review?

          To determine how accurate Xpert MTB/RIF and Xpert Ultra are for diagnosing pulmonary tuberculosis (PTB) and rifampicin resistance in adults. This is an update of the 2014 Cochrane Review.

          What was studied in this review?

          Xpert MTB/RIF and Xpert Ultra, with results measured against culture (benchmark).

          What are the main results in this review?

          95 studies: 86 studies (42,091 participants) evaluated Xpert MTB/RIF for tuberculosis; 57 studies (8287 participants) for rifampicin resistance. One study compared Xpert Ultra and Xpert MTB/RIF.

          For PTB, Xpert MTB/RIF was sensitive (85%), registering positive in people who actually had tuberculosis, and specific (98%), i.e. it did not register positive in people who were actually negative. Xpert Ultra had higher sensitivity than Xpert MTB/RIF (88% versus 83%) in one study.

          For rifampicin resistance, Xpert MTB/RIF was highly sensitive (96%) and specific (98%). Xpert Ultra gave similar results.

          Xpert MTB/RIF was better for diagnosing tuberculosis in HIV‐negative than in HIV‐positive people.

          How confident are we in the results of this review?

          Confident. We included many studies and used the best reference standards.

          Who do the results of this review apply to?

          People with presumed PTB or rifampicin resistance.

          What are the implications of this review?

          In theory, among 1000 people where 100 have tuberculosis on culture, 103 would be Xpert MTB/RIF‐positive and 18 (17%) would not have tuberculosis (false‐positives); 897 would be Xpert MTB/RIF‐negative and 15 (2%) would have tuberculosis (false‐negatives).

          Among 1000 people where 100 have rifampicin resistance, 114 would be positive for rifampicin resistance and 18 (16%) would not have rifampicin resistance (false‐positives); 886 would be negative for rifampicin resistance and four (0.4%) would have rifampicin resistance (false‐negatives).

          How up‐to‐date is this review?

          To 11 October 2018.

          Related collections

          Most cited references343

          • Record: found
          • Abstract: found
          • Article: not found

          Variation of a test's sensitivity and specificity with disease prevalence.

          Anecdotal evidence suggests that the sensitivity and specificity of a diagnostic test may vary with disease prevalence. Our objective was to investigate the associations between disease prevalence and test sensitivity and specificity using studies of diagnostic accuracy. We used data from 23 meta-analyses, each of which included 10-39 studies (416 total). The median prevalence per review ranged from 1% to 77%. We evaluated the effects of prevalence on sensitivity and specificity using a bivariate random-effects model for each meta-analysis, with prevalence as a covariate. We estimated the overall effect of prevalence by pooling the effects using the inverse variance method. Within a given review, a change in prevalence from the lowest to highest value resulted in a corresponding change in sensitivity or specificity from 0 to 40 percentage points. This effect was statistically significant (p < 0.05) for either sensitivity or specificity in 8 meta-analyses (35%). Overall, specificity tended to be lower with higher disease prevalence; there was no such systematic effect for sensitivity. The sensitivity and specificity of a test often vary with disease prevalence; this effect is likely to be the result of mechanisms, such as patient spectrum, that affect prevalence, sensitivity and specificity. Because it may be difficult to identify such mechanisms, clinicians should use prevalence as a guide when selecting studies that most closely match their situation.
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            • Record: found
            • Abstract: found
            • Article: not found

            Official American Thoracic Society/Infectious Diseases Society of America/Centers for Disease Control and Prevention Clinical Practice Guidelines: Diagnosis of Tuberculosis in Adults and Children

            Individuals infected with Mycobacterium tuberculosis (Mtb) may develop symptoms and signs of disease (tuberculosis disease) or may have no clinical evidence of disease (latent tuberculosis infection [LTBI]). Tuberculosis disease is a leading cause of infectious disease morbidity and mortality worldwide, yet many questions related to its diagnosis remain.
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              • Record: found
              • Abstract: found
              • Article: found

              Tuberculosis: advances and challenges in development of new diagnostics and biomarkers

              Tuberculosis remains the leading cause of death from an infectious disease worldwide. Early and accurate diagnosis and detection of drug-sensitive and drug-resistant tuberculosis is essential for achieving global tuberculosis control. Despite the introduction of the Xpert MTB/RIF assay as the first-line rapid tuberculosis diagnostic test, the gap between global estimates of incidence and new case notifications is 4·1 million people. More accurate, rapid, and cost-effective screening tests are needed to improve case detection. Diagnosis of extrapulmonary tuberculosis and tuberculosis in children, people living with HIV, and pregnant women remains particularly problematic. The diagnostic molecular technology landscape has continued to expand, including the development of tests for resistance to several antituberculosis drugs. Biomarkers are urgently needed to indicate progression from latent infection to clinical disease, to predict risk of reactivation after cure, and to provide accurate endpoints for drug and vaccine trials. Sophisticated bioinformatic computational tools and systems biology approaches are being applied to the discovery and validation of biomarkers, with substantial progress taking place. New data have been generated from the study of T-cell responses and T-cell function, serological studies, flow cytometric-based assays, and protein and gene expression studies. Alternative diagnostic strategies under investigation as potential screening and triaging tools include non-sputum-based detection with breath-based tests and automated digital radiography. We review developments and key achievements in the search for new tuberculosis diagnostics and biomarkers. We highlight gaps and challenges in evaluation and rollout of new diagnostics and biomarkers, and prioritise areas needing further investment, including impact assessment and cost-benefit studies.
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                Author and article information

                Contributors
                karen.steingart@gmail.com
                Journal
                Cochrane Database Syst Rev
                Cochrane Database Syst Rev
                14651858
                10.1002/14651858
                The Cochrane Database of Systematic Reviews
                John Wiley & Sons, Ltd (Chichester, UK )
                1469-493X
                07 June 2019
                June 2019
                05 June 2019
                07 June 2019
                : 2019
                : 6
                : CD009593
                Affiliations
                University of Washington deptDepartment of Medicine, Division of Pulmonary and Critical Care Medicine, and Firland Northwest TB Center SeattleUSA
                McGill University deptDepartment of Epidemiology, Biostatistics and Occupational Health MontrealCanada
                University of Washington deptPulmonary and Critical Care Medicine 325 9th Avenue – Campus Box 359762SeattleUSA98104
                McGill University Health Centre ‐ Research Institute deptDivision of Clinical Epidemiology MontrealCanada
                University of Washington deptDepartment of Global Health SeattleUSA
                FIND GenevaSwitzerland
                Stellenbosch University deptCentre for Evidence‐based Health Care, Faculty of Medicine and Health Sciences PO Box 241Cape TownSouth Africa8000
                Department of Clinical Sciences, Liverpool School of Tropical Medicine deptHonorary Research Fellow Pembroke PlaceLiverpoolUK
                Author notes

                Editorial Group: Cochrane Infectious Diseases Group.

                Article
                CD009593 CD009593.pub4
                10.1002/14651858.CD009593.pub4
                6555588
                31173647
                07b9bd9c-e76e-4b0d-a3b1-4baf8d56bab9
                Copyright © 2019 The Authors. Cochrane Database of Systematic Reviews published by John Wiley & Sons, Ltd. on behalf of The Cochrane Collaboration.

                This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial License, which allows remixing, tweaking, and building upon the original work non-commercially, and although the new works must also acknowledge the original work and be non-commercial, derivative works don’t have to be licensed under the same terms.

                History
                : 21 January 2014
                Categories
                Medicine General & Introductory Medical Sciences

                adult,humans,drug resistance, bacterial,antibiotics, antitubercular,antibiotics, antitubercular/therapeutic use,mycobacterium tuberculosis,mycobacterium tuberculosis/drug effects,mycobacterium tuberculosis/genetics,mycobacterium tuberculosis/isolation & purification,polymerase chain reaction,polymerase chain reaction/methods,rifampin,rifampin/therapeutic use,sensitivity and specificity,sequence analysis, dna,sequence analysis, dna/methods,tuberculosis, pulmonary,tuberculosis, pulmonary/diagnosis,tuberculosis, pulmonary/drug therapy

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