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Updated: Aug 4, 2025

Breath Collection from Children for Disease Biomarker Discovery
Published on: February 14, 2019
Analysis of exhaled breath to identify critically ill patients with ventilator-associated pneumonia
T W Felton1,2, W Ahmed1, I R White3
1Faculty of Biology, Medicine and Health, School of Biological Sciences, University of Manchester, UK.
Abstract:
Ventilator-associated pneumonia commonly occurs in critically ill patients. Clinical suspicion results in overuse of antibiotics, which in turn promotes antimicrobial resistance. Detection of volatile organic compounds in the exhaled breath of critically ill patients might allow earlier detection of pneumonia and avoid unnecessary antibiotic prescription. We report a proof of concept study for non-invasive diagnosis of ventilator-associated pneumonia in intensive care (the BRAVo study). Mechanically ventilated critically ill patients commenced on antibiotics for clinical suspicion of ventilator-associated pneumonia were recruited within the first 24 h of treatment. Paired exhaled breath and respiratory tract samples were collected. Exhaled breath was captured on sorbent tubes and then analysed using thermal desorption gas chromatography-mass spectrometry to detect volatile organic compounds. Microbiological culture of a pathogenic bacteria in respiratory tract samples provided confirmation of ventilator-associated pneumonia. Univariable and multivariable analyses of volatile organic compounds were performed to identify potential biomarkers for a 'rule-out' test. Ninety-six participants were enrolled in the trial, with exhaled breath available from 92. Of all compounds tested, the four highest performing candidate biomarkers were benzene, cyclohexanone, pentanol and undecanal with area under the receiver operating characteristic curve ranging from 0.67 to 0.77 and negative predictive values from 85% to 88%. Identified volatile organic compounds in the exhaled breath of mechanically ventilated critically ill patients show promise as a useful non-invasive 'rule-out' test for ventilator-associated pneumonia.
Insights
Detecting volatile organic compounds in exhaled breath may offer a non-invasive method for ruling out ventilator-associated pneumonia. This approach could reduce unnecessary antibiotic use in critically ill patients, combating antimicrobial resistance.
Area of Science:
- Pulmonary Medicine
- Clinical Chemistry
- Microbiology
Background:
- Ventilator-associated pneumonia (VAP) is a common complication in critically ill patients.
- Clinical suspicion often leads to broad-spectrum antibiotic overuse, contributing to antimicrobial resistance.
- Early and accurate VAP diagnosis is crucial to optimize patient care and combat resistance.
Purpose of the Study:
- To investigate the potential of volatile organic compounds (VOCs) in exhaled breath for non-invasive VAP diagnosis.
- To establish a proof-of-concept for a "rule-out" test for VAP using breath analysis.
- To identify VOC biomarkers associated with VAP in mechanically ventilated patients.
Main Methods:
- The BRAVo study recruited 96 mechanically ventilated, critically ill patients suspected of VAP.
- Paired exhaled breath samples (on sorbent tubes) and respiratory tract samples were collected within 24 hours of antibiotic initiation.
- Breath samples were analyzed using thermal desorption gas chromatography-mass spectrometry (TD-GC-MS) to detect VOCs. VAP was confirmed by microbiological culture.
Main Results:
- Ninety-two participants provided valid breath samples.
- Four candidate VOC biomarkers (benzene, cyclohexanone, pentanol, undecanal) showed promise.
- These biomarkers achieved an area under the receiver operating characteristic curve (AUC) of 0.67–0.77 and negative predictive values (NPVs) of 85%–88%.
Conclusions:
- VOCs identified in the exhaled breath of mechanically ventilated patients show potential as a non-invasive "rule-out" test for VAP.
- This breath analysis method could aid in avoiding unnecessary antibiotic prescriptions.
- Further validation is needed to establish this as a reliable diagnostic tool.
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