An electronic nose in the discrimination of patients with asthma and controls

Silvano Dragonieri, Robert Schot, Bart J A Mertens, Saskia Le Cessie, Stefanie A. Gauw, Antonio Spanevello, Onofrio Resta, Nico P. Willard, Teunis J. Vink, Klaus F. Rabe, Elisabeth H. Bel, Peter J. Sterk

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Exhaled breath contains thousands of volatile organic compounds (VOCs) that could serve as biomarkers of lung disease. Electronic noses can distinguish VOC mixtures by pattern recognition. Objective: We hypothesized that an electronic nose can discriminate exhaled air of patients with asthma from healthy controls, and between patients with different disease severities. Methods: Ten young patients with mild asthma (25.1 ± 5.9 years; FEV1, 99.9 ± 7.7% predicted), 10 young controls (26.8 ± 6.4 years; FEV1, 101.9 ± 10.3), 10 older patients with severe asthma (49.5 ± 12.0 years; FEV1, 62.3 ± 23.6), and 10 older controls (57.3 ± 7.1 years; FEV1, 108.3 ± 14.7) joined a cross-sectional study with duplicate sampling of exhaled breath with an interval of 2 to 5 minutes. Subjects inspired VOC-filtered air by tidal breathing for 5 minutes, and a single expiratory vital capacity was collected into a Tedlar bag that was sampled by electronic nose (Cyranose 320) within 10 minutes. Smellprints were analyzed by linear discriminant analysis on principal component reduction. Cross-validation values (CVVs) were calculated. Results: Smellprints of patients with mild asthma were fully separated from young controls (CVV, 100%; Mahalanobis distance [M-distance], 5.32), and patients with severe asthma could be distinguished from old controls (CVV, 90%; M-distance, 2.77). Patients with mild and severe asthma could be less well discriminated (CVV, 65%; M-distance, 1.23), whereas the 2 control groups were indistinguishable (CVV, 50%; M-distance, 1.56). The duplicate samples replicated these results. Conclusion: An electronic nose can discriminate exhaled breath of patients with asthma from controls but is less accurate in distinguishing asthma severities. Clinical implication: These findings warrant validation of electronic noses in diagnosing newly presented patients with asthma.

Original languageEnglish
Pages (from-to)856-862
Number of pages7
JournalJournal of Allergy and Clinical Immunology
Volume120
Issue number4
DOIs
Publication statusPublished - Oct 2007

Keywords

  • Asthma mild
  • asthma severe
  • biomarkers
  • diagnosis
  • electronic nose
  • exhaled breath
  • volatile organic compounds

ASJC Scopus subject areas

  • Immunology and Allergy
  • Immunology

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