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Related Concept Videos

Pulmonary Tuberculosis IV01:26

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Tuberculosis, more commonly referred to as TB, is an infectious disease stemming from Mycobacterium tuberculosis. While it primarily impacts the lungs, TB can also affect other body areas. Given its severity and global impact, timely and accurate diagnosis is crucial for controlling its spread and improving patient outcomes.
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Pulmonary Tuberculosis I01:29

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Breath Collection from Children for Disease Biomarker Discovery
06:09

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Published on: February 14, 2019

Breath analysis as a potential diagnostic tool for tuberculosis.

A H J Kolk1, J J B N van Berkel, M M Claassens

  • 1KIT Biomedical Research, Royal Tropical Institute, Amsterdam, The Netherlands. arend.kolk@hetnet.nl

The International Journal of Tuberculosis and Lung Disease : the Official Journal of the International Union Against Tuberculosis and Lung Disease
|April 18, 2012
PubMed
Summary

Gas chromatography-mass spectrometry (GC-MS) breath analysis shows promise in distinguishing tuberculosis (TB) from non-TB cases, even with negative sputum smears. This non-invasive method warrants further investigation for TB diagnosis.

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Area of Science:

  • Respiratory Medicine
  • Analytical Chemistry
  • Infectious Diseases

Background:

  • Tuberculosis (TB) diagnosis can be challenging, particularly in endemic regions where culture-proven TB patients may have negative sputum smears.
  • Accurate and rapid diagnostic tools are crucial for effective TB control.

Purpose of the Study:

  • To evaluate the efficacy of gas chromatography-mass spectrometry (GC-MS) breath analysis in differentiating between patients with and without tuberculosis.
  • To assess the diagnostic performance of GC-MS breath analysis in a TB-endemic setting.

Main Methods:

  • Breath samples were collected from patients with suspected tuberculosis in Cape Town, South Africa.
  • Gas chromatography-mass spectrometry (GC-MS) was employed to analyze volatile organic compounds in breath samples.
  • Support vector machine analysis was utilized to develop a classification model for distinguishing TB from non-TB patients.

Main Results:

  • A classification model using seven compounds achieved 72% sensitivity, 86% specificity, and 79% accuracy in the training set.
  • Validation with an independent set of samples yielded 62% sensitivity, 84% specificity, and 77% accuracy.
  • The model demonstrated ability to differentiate TB from non-TB, including cases with negative Ziehl-Neelsen sputum smears but positive cultures.

Conclusions:

  • GC-MS breath analysis is a potential non-invasive method for TB diagnosis.
  • This technique shows promise even in challenging cases, such as those with negative sputum smears.
  • Further research into GC-MS breath analysis for TB detection is recommended.