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Updated: May 6, 2026
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Employing the Forced Oscillation Technique for the Assessment of Respiratory Mechanics in Adults
Published on: February 9, 2022
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Predicting steroid responsiveness in patients with asthma using exhaled breath profiling
M P van der Schee1, R Palmay, J O Cowan
1Department of Respiratory Medicine, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands.
Summary
Electronic nose (eNose) breath analysis accurately identifies asthma patients and predicts steroid response. This novel approach offers a more precise method for tailoring asthma treatment compared to traditional biomarkers.
Area of Science:
- Respiratory Medicine
- Biomarker Discovery
- Diagnostic Technology
Background:
- Exhaled breath contains volatile organic compounds (VOCs) that can serve as disease-specific biomarkers.
- Identifying asthma phenotypes and predicting treatment response using VOCs is an area of significant clinical interest.
Purpose of the Study:
- To evaluate the performance of electronic nose (eNose) breath analysis in distinguishing asthma from controls.
- To compare eNose's ability to predict steroid responsiveness against established methods like sputum eosinophils and fractional exhaled nitric oxide (FeNO).
Main Methods:
- Twenty-five mild/moderate asthma patients underwent steroid withdrawal and subsequent oral prednisone treatment.
- Steroid responsiveness was defined by changes in FEV1 or PC20 AMP.
- Algorithms were developed using sputum eosinophils, FeNO, and exhaled breath VOCs to predict steroid responsiveness, with performance assessed via ROC analysis.
Main Results:
- The eNose demonstrated significant accuracy in discriminating asthma from controls (AUC = 0.766).
- VOC analysis using eNose predicted steroid responsiveness with higher accuracy (AUC = 0.883) compared to FeNO (AUC = 0.545) and sputum eosinophils (AUC = 0.610).
Conclusions:
- eNose breath analysis is effective in identifying asthma patients.
- This technology shows promise for predicting steroid responsiveness in asthma, potentially enabling personalized treatment strategies.
- Breath analysis offers a valuable tool for tailoring asthma management.
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