@article{975195126f1a4dde9b0804047ad21e75,
title = "The Influence of Smoking Status on Exhaled Breath Profiles in Asthma and COPD Patients",
abstract = "Breath analysis using eNose technology can be used to discriminate between asthma and COPD patients, but it remains unclear whether results are influenced by smoking status. We aim to study whether eNose can discriminate between ever- vs. never-smokers and smoking <24 vs. >24 h before the exhaled breath, and if smoking can be considered a confounder that influences eNose results. We performed a cross-sectional analysis in adults with asthma or chronic obstructive pulmonary disease (COPD), and healthy controls. Ever-smokers were defined as patients with current or past smoking habits. eNose measurements were performed by using the SpiroNose. The principal component (PC) described the eNose signals, and linear discriminant analysis determined if PCs classified ever-smokers vs. never-smokers and smoking <24 vs. >24 h. The area under the receiver-operator characteristic curve (AUC) assessed the accuracy of the models. We selected 593 ever-smokers (167 smoked <24 h before measurement) and 303 never-smokers and measured the exhaled breath profiles of discriminated ever- and never-smokers (AUC: 0.74; 95% CI: 0.66-0.81), and no cigarette consumption <24h (AUC 0.54, 95% CI: 0.43-0.65). In healthy controls, the eNose did not discriminate between ever or never-smokers (AUC 0.54; 95% CI: 0.49-0.60) and recent cigarette consumption (AUC 0.60; 95% CI: 0.50-0.69). The eNose could distinguish between ever and never-smokers in asthma and COPD patients, but not recent smokers. Recent smoking is not a confounding factor of eNose breath profiles.",
keywords = "Asthma, COPD, Exhaled breath, Smoking, eNose",
author = "Stefania Principe and {van Bragt}, {Job J. M. H.} and Cristina Longo and {de Vries}, Rianne and Sterk, {Peter J.} and Nicola Scichilone and Vijverberg, {Susanne J. H.} and {Maitland-van der Zee}, {Anke H.}",
note = "Funding Information: The first author of the research leading to these results received funding from the SIP/IRS Fellowship 2020. Stefania Principe is the recipient of a SIP/IRS Fellowship 2020. The authors wish to thank and acknowledge all BreathCloud partners, in particular the staff of Diagnostiek voor U (Eindoven, the Netherlands); Medisch Centrum Den Bosch Oost (?s-Hertogenbosch, the Netherlands); Medisch Spectrum Twente (Enschede, the Netherlands); Franciscus Gasthuis and Vlietland (Rotterdam, the Netherlands); and Amsterdam UMC, locations AMC and VUmc, (Amsterdam, the Netherlands) for their help in the recruitment of the subjects who have been enrolled in this study. Members of the Amsterdam UMC Breath Research Group: Anke H. Maitland-van der Zee, Peter J. Sterk, Paul Brinkman, Anne H. van Stuyvenberg-Neerincx, Cristina Longo, Lieuwe D. Bos, Anirban Sinha, Dominic W. Fenn, Marije Lammers, Levi B. Richards, Job J.M.H. van Bragt, Mahmoud I. Abdel-Aziz, Renate Kos, Yennece W.F. Dagelet, Marcus J. Schultz, Marry R. Smit and Laura A. Hagens (all Amsterdam UMC, University of Amsterdam, Depts of (Pediatric) Respiratory Medicine or Intensive Care Medicine). Funding Information: Funding: The first author of the research leading to these results received funding from the SIP/IRS Fellowship 2020. Stefania Principe is the recipient of a SIP/IRS Fellowship 2020. Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",
year = "2021",
month = mar,
day = "4",
doi = "https://doi.org/10.3390/molecules26051357",
language = "English",
volume = "26",
journal = "Molecules",
issn = "1420-3049",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "5",
}