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Updated: Jul 25, 2025

Diagnosing Pulmonary Tuberculosis with the Xpert MTB/RIF Test
Published on: April 9, 2012
To Test or Not? Xpert MTB/RIF as an Alternative to Smear Microscopy to Guide Line Probe Assay Testing for
S Pillay1,2, M de Vos1, H Sohn3
1DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, South Africa.
Smear-negative tuberculosis specimens can be tested for drug resistance using Xpert MTB/RIF data. This approach identifies a subset of smear-negative samples where testing is beneficial, improving diagnosis without missing significant resistance.
Area of Science:
- Clinical microbiology and infectious diseases
- Diagnostic test optimization
- Tuberculosis drug resistance surveillance
Background:
- Xpert MTB/RIF has transformed tuberculosis (TB) diagnostics.
- Current guidelines often exclude smear-negative specimens from reflex drug susceptibility testing (DST).
- This exclusion risks missing critical resistance information.
Purpose of the Study:
- To evaluate the utility of Xpert MTB/RIF bacterial load data for predicting drug susceptibility assay results in smear-negative TB specimens.
- To determine optimal strategies for expanding direct DST to smear-negative samples.
- To analyze the trade-offs between actionable results and missed resistance.
Main Methods:
- Receiver operator characteristic (ROC) curve analysis was performed on Xpert MTB/RIF data (smear grade, semi-quantitation categories, Cтmin values).
- Data from sputum specimens tested for Xpert rifampicin resistance were used.
- Actionable-to-non-actionable result ratios and missed resistance were evaluated.
Main Results:
- Smear-negative specimens were more likely to yield non-actionable results for both first-line (MTBDRplus) and second-line (MTBDRsl) drug resistance assays.
- Excluding smear-negatives would lead to significant missed rapid diagnoses (e.g., 51% of isoniazid resistance).
- Testing smear-negatives with Xpert semi-quantitation category ≥ "medium" improved actionable-to-non-actionable ratios significantly while still detecting substantial resistance.
Conclusions:
- Xpert quantitative information can identify a subset of smear-negative TB specimens suitable for direct DST.
- This approach balances the need for actionable results with the risk of missed resistance.
- Findings support the rational expansion of direct DST to select smear-negative sputum samples.
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