| Title: | Exhaled volatile organic compounds discriminate patients with chronic obstructive pulmonary disease from healthy subjects |
| Author(s): | Besa V; Teschler H; Kurth I; Khan AM; Zarogoulidis P; Baumbach JI; Sommerwerck U; Freitag L; Darwiche K; |
| Address: | "Department of Interventional Pneumology, Ruhrlandklinik, West German Lung Center, University Hospital, University Duisburg-Essen, Essen, Germany. Department of Pneumology, Ruhrlandklinik, University Hospital Essen, University of Essen-Duisburg, Essen, Germany. Division of Thoracic Surgery, Toronto General Hospital, University Health Network, University of Toronto, Toronto, ON, Canada. Oncology Unit, Pulmonary Department, 'G Papanikolaou' General Hospital, Aristotle University of Thessaloniki, Greece. Faculty of Applied Chemistry, Reutlingen University, Reutlingen, Germany" |
| Journal Title: | Int J Chron Obstruct Pulmon Dis |
| ISSN/ISBN: | 1178-2005 (Electronic) 1176-9106 (Print) 1176-9106 (Linking) |
| Abstract: | "Chronic obstructive pulmonary disease (COPD) is a chronic airway inflammatory disease characterized by incompletely reversible airway obstruction. This clinically heterogeneous group of patients is characterized by different phenotypes. Spirometry and clinical parameters, such as severity of dyspnea and exacerbation frequency, are used to diagnose and assess the severity of COPD. The purpose of this study was to investigate whether volatile organic compounds (VOCs) could be detected in the exhaled breath of patients with COPD and whether these VOCs could distinguish COPD patients from healthy subjects. Moreover, we aimed to investigate whether VOCs could be used as biomarkers for classifying patients into different subgroups of the disease. Ion mobility spectrometry was used to detect VOCs in the exhaled breath of COPD patients. One hundred and thirty-seven peaks were found to have a statistically significant difference between the COPD group and the combined healthy smokers and nonsmoker group. Six of these VOCs were found to correctly discriminate COPD patients from healthy controls with an accuracy of 70%. Only 15 peaks were found to be statistically different between healthy smokers and healthy nonsmokers. Furthermore, by determining the cutoff levels for each VOC peak, it was possible to classify the COPD patients into breathprint subgroups. Forced expiratory volume in 1 second, body mass index, and C-reactive protein seem to play a role in the discrepancies observed in the different breathprint subgroups" |
| Keywords: | "Adult Aged Biomarkers/analysis Body Mass Index *Breath Tests C-Reactive Protein/analysis Case-Control Studies *Exhalation Female Forced Expiratory Volume Humans Lung/*physiopathology Male Middle Aged Predictive Value of Tests Pulmonary Disease, Chronic Ob;" |
| Notes: | "MedlineBesa, Vasiliki Teschler, Helmut Kurth, Isabella Khan, Amir Maqbul Zarogoulidis, Paul Baumbach, Joerg Ingo Sommerwerck, Urte Freitag, Lutz Darwiche, Kaid eng Research Support, Non-U.S. Gov't New Zealand 2015/03/12 Int J Chron Obstruct Pulmon Dis. 2015 Feb 23; 10:399-406. doi: 10.2147/COPD.S76212. eCollection 2015" |
