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Journal ArticleDOI

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

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TLDR
These findings warrant validation of electronic noses in diagnosing newly presented patients with asthma, and patients with mild and severe asthma could be less well discriminated.
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; FEV 1 , 99.9 ± 7.7% predicted), 10 young controls (26.8 ± 6.4 years; FEV 1 , 101.9 ± 10.3), 10 older patients with severe asthma (49.5 ± 12.0 years; FEV 1 , 62.3 ± 23.6), and 10 older controls (57.3 ± 7.1 years; FEV 1 , 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.

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Citations
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An electronic nose in the discrimination of patients with non-small cell lung cancer and COPD.

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References
More filters
Journal ArticleDOI

Standardisation of spirometry

TL;DR: This research presents a novel and scalable approach called “Standardation of LUNG FUNCTION TESTing” that combines “situational awareness” and “machine learning” to solve the challenge of integrating nanofiltration into the energy system.
Journal ArticleDOI

Principal component analysis

TL;DR: Principal Component Analysis is a multivariate exploratory analysis method useful to separate systematic variation from noise and to define a space of reduced dimensions that preserve noise.
Journal ArticleDOI

A novel multigene family may encode odorant receptors: A molecular basis for odor recognition

TL;DR: This work has cloned and characterized 18 different members of an extremely large multigene family that encodes seven transmembrane domain proteins whose expression is restricted to the olfactory epithelium and is likely to encode a diverse family of odorant receptors.
Journal ArticleDOI

The Mahalanobis distance

TL;DR: The Mahalanobis distance, in the original and principal component (PC) space, will be examined and interpreted in relation with the Euclidean distance (ED).
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