Do adjunct tuberculosis tests, when combined with Xpert MTB/RIF, improve accuracy and the cost of diagnosis in a resource-poor setting?

Information regarding the utility of adjunct diagnostic tests in combination with Xpert MTB/RIF (Cepheid, Sunnyvale, CA, USA) is limited. We hypothesised adjunct tests could enhance accuracy and/or reduce the cost of tuberculosis (TB) diagnosis prior to MTB/RIF testing, and rule-in or rule-out TB in MTB/RIF-negative individuals. We assessed the accuracy and/or laboratory-associated cost of diagnosis of smear microscopy, chest radiography (CXR) and interferon-&ggr; release assays (IGRAs; T-SPOT-TB (Oxford Immunotec, Oxford, UK) and QuantiFERON-TB Gold In-Tube (Cellestis, Chadstone, Australia)) combined with MTB/RIF for TB in 480 patients in South Africa. When conducted prior to MTB/RIF: 1) smear microscopy followed by MTB/RIF (if smear negative) had the lowest cost of diagnosis of any strategy investigated; 2) a combination of smear microscopy, CXR (if smear negative) and MTB/RIF (if imaging compatible with active TB) did not further reduce the cost per TB case diagnosed; and 3) a normal CXR ruled out TB in 18% of patients (57 out of 324; negative predictive value (NPV) 100%). When downstream adjunct tests were applied to MTB/RIF-negative individuals, radiology ruled out TB in 24% (56 out of 234; NPV 100%), smear microscopy ruled in TB in 21% (seven out of 24) of culture-positive individuals and IGRAs were not useful in either context. In resource-poor settings, smear microscopy combined with MTB/RIF had the highest accuracy and lowest cost of diagnosis compared to either technique alone. In MTB/RIF-negative individuals, CXR has poor rule-in value but can reliably rule out TB in approximately one in four cases. These data inform upon the programmatic utility of MTB/RIF in high-burden settings.

[1]  K. Floyd,et al.  Cost and cost-effectiveness of community-based care for tuberculosis in Cape Town, South Africa. , 2003, The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease.

[2]  E. Bateman,et al.  Development and evaluation of a new chest radiograph reading and recording system for epidemiological surveys of tuberculosis and lung disease. , 2005, The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease.

[3]  J. Hargrove,et al.  The Effect of Diagnostic Delays on the Drop-Out Rate and the Total Delay to Diagnosis of Tuberculosis , 2008, PloS one.

[4]  Irene Ayakaka,et al.  Rapid Detection of Mycobacterium tuberculosis and Rifampin Resistance by Use of On-Demand, Near-Patient Technology , 2009, Journal of Clinical Microbiology.

[5]  E. Bateman,et al.  Chest radiograph reading and recording system: evaluation for tuberculosis screening in patients with advanced HIV. , 2010, The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease.

[6]  Eduardo Gotuzzo,et al.  Rapid molecular detection of tuberculosis and rifampin resistance. , 2010, The New England journal of medicine.

[7]  M. Pai,et al.  Evaluation of the Xpert MTB/RIF assay for the diagnosis of pulmonary tuberculosis in a high HIV prevalence setting. , 2011, American journal of respiratory and critical care medicine.

[8]  Carlton A. Evans,et al.  GeneXpert—A Game-Changer for Tuberculosis Control? , 2011, PLoS medicine.

[9]  Alimuddin Zumla,et al.  Xpert MTB/RIF test for tuberculosis , 2011, The Lancet.

[10]  Madhukar Pai,et al.  Is Scale-Up Worth It? Challenges in Economic Analysis of Diagnostic Tests for Tuberculosis , 2011, PLoS medicine.

[11]  E. Bateman,et al.  Are interferon-&ggr; release assays useful for diagnosing active tuberculosis in a high-burden setting? , 2011, European Respiratory Journal.

[12]  M. Pai,et al.  Interferon release does not add discriminatory value to smear-negative HIV–tuberculosis algorithms , 2011, European Respiratory Journal.

[13]  Eduardo Gotuzzo,et al.  Feasibility, diagnostic accuracy, and effectiveness of decentralised use of the Xpert MTB/RIF test for diagnosis of tuberculosis and multidrug resistance: a multicentre implementation study , 2011, The Lancet.

[14]  K. Dheda,et al.  Xpert MTB/RIF test for tuberculosis , 2011, The Lancet.

[15]  K. Dheda,et al.  The use of an automated quantitative polymerase chain reaction (Xpert MTB/RIF) to predict the sputum smear status of tuberculosis patients. , 2012, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[16]  K. Sullivan,et al.  OpenEpi: Open Source Epidemiologic Statistics for Public Health. Version 2.3.1. , 2013 .