Xpert MTB/RIF Results in Patients With Previous Tuberculosis: Can We Distinguish True From False Positive Results?

作者: Grant Theron , Rouxjeane Venter , Greg Calligaro , Liezel Smith , Jason Limberis

DOI: 10.1093/CID/CIV1223

关键词: Nucleic acid amplification techniqueMycobacterium tuberculosisFalse positive paradoxTuberculosisSurgeryConfidence intervalInternal medicineOdds ratioMedicineSputumChest radiograph

摘要: Background Patients with previous tuberculosis may have residual DNA in sputum that confounds nucleic acid amplification tests such as Xpert MTB/RIF. Little is known about the frequency of Xpert-positive, culture-negative ("false positive") results retreatment patients, whether these are distinguishable from true positives, and Xpert's automated filter-based wash step reduces false positivity by removing associated nonintact cells. Methods Pretreatment patients (n = 2889) symptoms Cape Town, South Africa, underwent a sputum-based liquid culture Xpert. We also compared dilutions intact or heat-lysed mechanically lysed bacilli. Results Retreatment cases were more likely to be false-positive (45/321 Xpert-positive false-positive) than new (40/461) (14% [95% confidence interval {CI}, 10%-18%] vs 8% CI, 6%-12%];P= .018). Fewer years since treatment completion (adjusted odds ratio [aOR], 0.85 .73-.99]), less mycobacterial (aOR, 1.14 1.03-1.27] per cycle threshold [CT]), chest radiograph not suggestive active 0.22 .06-.82]) positivity. CThad suboptimal accuracy for positivity: 46% Xpert-positives CT> 30 would positive, although 70% positives missed. CT's predictive ability (area under curve, 0.83 .76-.90]) was improved additional variables. detected nonviable, bacilli without change CTvs controls. Conclusions One 7 negative potentially positive. False recent tuberculosis, high CT, tuberculosis. Clinicians consider awaiting confirmatory testing 30; however, most fall below this cut-point. can detect

参考文章(34)
KEERTAN DHEDA, MORTEN RUHWALD, GRANT THERON, JONATHAN PETER, WING CHEONG YAM, Point‐of‐care diagnosis of tuberculosis: Past, present and future Respirology. ,vol. 18, pp. 217- 232 ,(2013) , 10.1111/RESP.12022
Karen R Steingart, Ian Schiller, David J Horne, Madhukar Pai, Catharina C Boehme, Nandini Dendukuri, Xpert® MTB/RIF assay for pulmonary tuberculosis and rifampicin resistance in adults. Cochrane Database of Systematic Reviews. ,vol. 2013, pp. 009593- 009593 ,(2014) , 10.1002/14651858.CD009593.PUB3
Vladyslav Nikolayevskyy, Paolo Miotto, Edita Pimkina, Yanina Balabanova, Irina Kontsevaya, Olga Ignatyeva, Alessandro Ambrosi, Girts Skenders, Arvydas Ambrozaitis, Alexander Kovalyov, Anna Sadykhova, Tatiana Simak, Andrey Kritsky, Svetlana Mironova, Olesya Tikhonova, Yulia Dubrovskaya, Yulia Rodionova, Daniela Cirillo, Francis Drobniewski, Utility of propidium monoazide viability assay as a biomarker for a tuberculosis disease. Tuberculosis. ,vol. 95, pp. 179- 185 ,(2015) , 10.1016/J.TUBE.2014.11.005
Grant Theron, Jonny Peter, Greg Calligaro, Richard Meldau, Colleen Hanrahan, Hoosain Khalfey, Brian Matinyenya, Tapuwa Muchinga, Liezel Smith, Shaheen Pandie, Laura Lenders, Vinod Patel, Bongani M. Mayosi, Keertan Dheda, Determinants of PCR performance (Xpert MTB/RIF), including bacterial load and inhibition, for TB diagnosis using specimens from different body compartments Scientific Reports. ,vol. 4, pp. 5658- 5658 ,(2015) , 10.1038/SREP05658
Karen R. Steingart, Ian Schiller, Nandini Dendukuri, In reply to 'False-positive Xpert® MTB/RIF assays in previously treated patients'. International Journal of Tuberculosis and Lung Disease. ,vol. 19, pp. 366- 367 ,(2015) , 10.5588/IJTLD.14.0800
Simon Walusimbi, Freddie Bwanga, Ayesha De Costa, Melles Haile, Moses Joloba, Sven Hoffner, Meta-analysis to compare the accuracy of GeneXpert, MODS and the WHO 2007 algorithm for diagnosis of smear-negative pulmonary tuberculosis BMC Infectious Diseases. ,vol. 13, pp. 507- 507 ,(2013) , 10.1186/1471-2334-13-507
Robin Wood, Stephen D. Lawn, Judy Caldwell, Richard Kaplan, Keren Middelkoop, Linda-Gail Bekker, Burden of new and recurrent tuberculosis in a major South African city stratified by age and HIV-status. PLOS ONE. ,vol. 6, ,(2011) , 10.1371/JOURNAL.PONE.0025098
Christian Wejse, Per Gustafson, Jens Nielsen, Victor Francisco Gomes, Peter Aaby, Paul Lehm Andersen, Morten Sodemann, TBscore: Signs and symptoms from tuberculosis patients in a low-resource setting have predictive value and may be used to assess clinical course. Scandinavian Journal of Infectious Diseases. ,vol. 40, pp. 111- 120 ,(2008) , 10.1080/00365540701558698
J. Daniel Kelly, Shou-Yean Grace Lin, Pennan M. Barry, Chris Keh, Julie Higashi, John Z. Metcalfe, Xpert MTB/RIF False Detection of Rifampin-Resistant Tuberculosis from Prior Infection American Journal of Respiratory and Critical Care Medicine. ,vol. 190, pp. 1316- 1318 ,(2014) , 10.1164/RCCM.201408-1500LE
Colleen F Hanrahan, Grant Theron, Jean Bassett, Keertan Dheda, Lesley Scott, Wendy Stevens, Ian Sanne, Annelies Van Rie, None, Xpert MTB/RIF as a Measure of Sputum Bacillary Burden. Variation by HIV Status and Immunosuppression American Journal of Respiratory and Critical Care Medicine. ,vol. 189, pp. 1426- 1434 ,(2014) , 10.1164/RCCM.201312-2140OC