BACKGROUND: Chronic obstructive pulmonary disease (COPD) is an inflammatory condition characterized by oxidative stress and the formation of volatile organic compounds (VOCs) secreted via the lungs. We recently developed a methodological approach able to identify profiles of VOCs in breath unique for patient groups. Here we applied this recently developed methodology regarding diagnosis of COPD patients. METHODS: Fifty COPD patients and 29 controls provided their breath and VOCs were analyzed by gas chromatography-mass spectrometry to identify relevant VOCs. An additional 16 COPD patients and 16 controls were sampled in order to validate the model, and 15 steroid naïve COPD patients were sampled to determine whether steroid use affects performance. FINDINGS: 1179 different VOCs were detected, of which 13 were sufficient to correctly classify all 79 subjects. Six of these 13 VOCs classified 92% of the subjects correctly (sensitivity: 98%, specificity: 88%) and correctly classified 29 of 32 subjects (sensitivity: 100%, specificity: 81%) from the independent validation population. Fourteen out of 15 steroid naïve COPD patients were correctly classified thus excluding treatment influences. INTERPRETATION: This is the first study distinguishing COPD subjects from controls solely based on the presence of VOCs in breath. Analysis of VOCs might be highly relevant for diagnosis of COPD. Copyright 2009 Elsevier Ltd. All rights reserved.
BACKGROUND:Chronic obstructive pulmonary disease (COPD) is an inflammatory condition characterized by oxidative stress and the formation of volatile organic compounds (VOCs) secreted via the lungs. We recently developed a methodological approach able to identify profiles of VOCs in breath unique for patient groups. Here we applied this recently developed methodology regarding diagnosis of COPDpatients. METHODS: Fifty COPDpatients and 29 controls provided their breath and VOCs were analyzed by gas chromatography-mass spectrometry to identify relevant VOCs. An additional 16 COPDpatients and 16 controls were sampled in order to validate the model, and 15 steroid naïve COPDpatients were sampled to determine whether steroid use affects performance. FINDINGS: 1179 different VOCs were detected, of which 13 were sufficient to correctly classify all 79 subjects. Six of these 13 VOCs classified 92% of the subjects correctly (sensitivity: 98%, specificity: 88%) and correctly classified 29 of 32 subjects (sensitivity: 100%, specificity: 81%) from the independent validation population. Fourteen out of 15 steroid naïve COPDpatients were correctly classified thus excluding treatment influences. INTERPRETATION: This is the first study distinguishing COPD subjects from controls solely based on the presence of VOCs in breath. Analysis of VOCs might be highly relevant for diagnosis of COPD. Copyright 2009 Elsevier Ltd. All rights reserved.
Authors: Wadah Ibrahim; Liesl Carr; Rebecca Cordell; Michael J Wilde; Dahlia Salman; Paul S Monks; Paul Thomas; Chris E Brightling; Salman Siddiqui; Neil J Greening Journal: Thorax Date: 2021-01-07 Impact factor: 9.139
Authors: Theodore R Mellors; Lionel Blanchet; JoAnne L Flynn; Jaime Tomko; Melanie O'Malley; Charles A Scanga; Philana L Lin; Jane E Hill Journal: J Appl Physiol (1985) Date: 2017-01-05
Authors: Michael Schivo; Felicia Seichter; Alexander A Aksenov; Alberto Pasamontes; Daniel J Peirano; Boris Mizaikoff; Nicholas J Kenyon; Cristina E Davis Journal: J Breath Res Date: 2013-02-27 Impact factor: 3.262