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Diagnosing Pulmonary Tuberculosis with the Xpert MTB/RIF Test
Published on: April 9, 2012
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Results from early programmatic implementation of Xpert MTB/RIF testing in nine countries
Jacob Creswell1, Andrew J Codlin, Emmanuel Andre
1Stop TB Partnership, Secretariat, Geneva, Switzerland. creswellj@who.int.
BMC Infectious Diseases
|January 4, 2014
Summary
The Xpert MTB/RIF assay significantly improves tuberculosis detection in real-world settings, identifying many cases missed by routine services. While versatile, implementation challenges like power supply and data recording need addressing.
Area of Science:
- Microbiology
- Infectious Diseases
- Public Health
Background:
- The Xpert MTB/RIF assay is a promising tool for rapid tuberculosis diagnosis.
- Existing literature primarily focuses on controlled study conditions, with limited data on real-world implementation for routine case finding.
- TB REACH initiatives aim to innovate tuberculosis case notification strategies.
Purpose of the Study:
- To evaluate the real-world performance and implementation of the Xpert MTB/RIF assay in TB REACH projects.
- To analyze patient yields, rifampicin resistance detection, and operational challenges.
- To bridge the gap between research findings and practical application of MTB/RIF testing.
Main Methods:
- Convenience sampling of nine TB REACH projects across diverse settings.
- Analysis of quarterly reports and machine data (September 2011-March 2013) for test yields, resistance, and failure rates.
- Qualitative data collection via questionnaires and interviews with project staff regarding user experiences.
Main Results:
- Over 47,000 MTB/RIF tests were conducted, with 16.8% positive for Mycobacterium tuberculosis (MTB).
- 13.6% of MTB-positive tests indicated rifampicin resistance; 10.6% of all tests failed.
- Key implementation challenges included consistent power supply needs and heterogeneous data reporting practices.
Conclusions:
- Xpert MTB/RIF testing successfully identified numerous TB cases missed by routine services.
- The assay demonstrates versatility and impact in programmatic settings, despite implementation barriers.
- Findings highlight surmountable challenges and diverse approaches to implementing MTB/RIF testing in real-world scenarios.

