| Title: | Clinical and inflammatory phenotyping by breathomics in chronic airway diseases irrespective of the diagnostic label |
| Author(s): | de Vries R; Dagelet YWF; Spoor P; Snoey E; Jak PMC; Brinkman P; Dijkers E; Bootsma SK; Elskamp F; de Jongh FHC; Haarman EG; In 't Veen J; Maitland-van der Zee AH; Sterk PJ; |
| Address: | "Dept of Respiratory Medicine, Academic Medical Centre, Amsterdam, The Netherlands rianne.devries@amc.uva.nl. Dept of Respiratory Medicine, Academic Medical Centre, Amsterdam, The Netherlands. Faculty of Science and Technology, University of Twente, Enschede, The Netherlands. Dept of Pulmonology, Franciscus Gasthuis, Rotterdam, The Netherlands. Dept of Pediatric Pulmonology, VU University Medical Center, Amsterdam, The Netherlands. Comon Invent B.V., Delft, The Netherlands. Dept of Pulmonary Function, Medisch Spectrum Twente, Enschede, The Netherlands" |
| DOI: | 10.1183/13993003.01817-2017 |
| ISSN/ISBN: | 1399-3003 (Electronic) 0903-1936 (Linking) |
| Abstract: | "Asthma and chronic obstructive pulmonary disease (COPD) are complex and overlapping diseases that include inflammatory phenotypes. Novel anti-eosinophilic/anti-neutrophilic strategies demand rapid inflammatory phenotyping, which might be accessible from exhaled breath.Our objective was to capture clinical/inflammatory phenotypes in patients with chronic airway disease using an electronic nose (eNose) in a training and validation set.This was a multicentre cross-sectional study in which exhaled breath from asthma and COPD patients (n=435; training n=321 and validation n=114) was analysed using eNose technology. Data analysis involved signal processing and statistics based on principal component analysis followed by unsupervised cluster analysis and supervised linear regression.Clustering based on eNose resulted in five significant combined asthma and COPD clusters that differed regarding ethnicity (p=0.01), systemic eosinophilia (p=0.02) and neutrophilia (p=0.03), body mass index (p=0.04), exhaled nitric oxide fraction (p<0.01), atopy (p<0.01) and exacerbation rate (p<0.01). Significant regression models were found for the prediction of eosinophilic (R(2)=0.581) and neutrophilic (R(2)=0.409) blood counts based on eNose. Similar clusters and regression results were obtained in the validation set.Phenotyping a combined sample of asthma and COPD patients using eNose provides validated clusters that are not determined by diagnosis, but rather by clinical/inflammatory characteristics. eNose identified systemic neutrophilia and/or eosinophilia in a dose-dependent manner" |
| Keywords: | Adult Aged Asthma/*complications Bacterial Infections/*diagnosis Breath Tests/instrumentation Cluster Analysis Cross-Sectional Studies *Electronic Nose Eosinophilia/metabolism Exhalation Female Humans Leukocyte Count Linear Models Lung/microbiology Male M; |
| Notes: | "Medlinede Vries, Rianne Dagelet, Yennece W F Spoor, Pien Snoey, Erik Jak, Patrick M C Brinkman, Paul Dijkers, Erica Bootsma, Simon K Elskamp, Fred de Jongh, Frans H C Haarman, Eric G In 't Veen, Johannes C C M Maitland-van der Zee, Anke-Hilse Sterk, Peter J eng Multicenter Study Research Support, Non-U.S. Gov't Validation Study England 2018/01/13 Eur Respir J. 2018 Jan 11; 51(1):1701817. doi: 10.1183/13993003.01817-2017. Print 2018 Jan" |
