Breath-based biomarkers 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.accessioned2012-08-02T09:13:52Z
dc.date.available2012-08-02T09:13:52Z
dc.date.issued2012
dc.descriptionConference Paper
dc.description.abstractWe 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). Samples were obtained in a TB endemic setting in South Africa where 28% of the culture proven TB patients had a Ziehl-Neelsen (ZN) negative sputum smear. A training set of breath samples from 50 sputum culture proven TB patients and 50 culture negative non-TB patients was analyzed by GC-MS. A classification model with 7 compounds resulted in a training set with a sensitivity of 72%, specificity of 86% and accuracy of 79% compared with culture. The classification model was validated with an independent set of breath samples from 21 TB and 50 non-TB patients. A sensitivity of 62%, specificity of 84% and accuracy of 77% was found. We conclude that the 7 volatile organic compounds (VOCs) that discriminate breath samples from TB and non-TB patients in our study population are probably host-response related VOCs and are not derived from the VOCs secreted by M. tuberculosis. It is concluded that at present 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 M. tuberculosis. Further research is required to improve the sensitivity and specificity before this method can be used in routine laboratories. © 2012 SPIE.
dc.identifier.citationProceedings of SPIE - The International Society for Optical Engineering
dc.identifier.citation8371
dc.identifier.issn0277786X
dc.identifier.other10.1117/12.918376
dc.identifier.urihttp://hdl.handle.net/10019.1/21936
dc.subjectBreath analysis
dc.subjectGas chromatography-mass spectrometry
dc.subjectTraining set
dc.subjectTuberculosis
dc.subjectValidation set
dc.subjectVOC
dc.titleBreath-based biomarkers for tuberculosis
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