Breath analysis as a potential diagnostic tool for tuberculosis

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dc.contributor.authorKolk A.H.J.
dc.contributor.authorVan Berkel J.J.B.N.
dc.contributor.authorClaassens M.M.
dc.contributor.authorWalters E.
dc.contributor.authorKuijper S.
dc.contributor.authorDallinga J.W.
dc.contributor.authorVan Schooten F.J.
dc.date.accessioned2012-06-06T07:59:58Z
dc.date.available2012-06-06T07:59:58Z
dc.date.issued2012
dc.description.abstractSETTING: Cape Town, South Africa. OBJECTIVES: We investigated the potential of breath analysis by gas chromatography-mass spectrometry (GC-MS) to discriminate between samples collected prospectively from patients with suspected tuberculosis (TB). DESIGN: Samples were obtained in a TB-endemic setting in South Africa, where 28% of culture-proven TB patients had Ziehl-Neelsen (ZN) negative sputum smear. A training set of breath samples from 50 sputum cultureproven TB patients and 50 culture-negative non-TB patients was analysed using GC-MS. We used support vector machine analysis for classification of the patient samples into TB and non-TB. RESULTS: A classification model with seven compounds had a sensitivity of 72%, a specificity of 86% and an accuracy of 79% compared with culture. The classification model was validated with breath samples from a different set of 21 TB and 50 non-TB patients from the same area, giving a sensitivity of 62%, a specificity of 84% and an accuracy of 77%. CONCLUSION: This study shows that GC-MS breath analysis is able to differentiate between TB and non-TB breath samples even among patients with a negative ZN sputum smear but a positive culture for Mycobacterium tuberculosis. We conclude that breath analysis by GC-MS merits further research. © 2012 The Union.
dc.identifier.citationInternational Journal of Tuberculosis and Lung Disease
dc.identifier.citation16
dc.identifier.citation6
dc.identifier.citation777
dc.identifier.citation782
dc.identifier.issn10273719
dc.identifier.otherdoi:10.5588/ijtld.11.0576
dc.identifier.urihttp://hdl.handle.net/10019.1/21285
dc.subjectGas chromatography-mass spectrometry
dc.subjectStatistical analysis
dc.subjectTraining set
dc.subjectValidation set
dc.subjectVolatile organic compounds
dc.titleBreath analysis as a potential diagnostic tool for tuberculosis
dc.typeArticle
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