Exhaled Breath Analysis For Volatile Organic Compounds (VOCs) Can Distinguish COPD From Controls

Yasir Syed, Chris O. Phillips, Juan J. Rodriguez, Neil MacParthaláin, Ludmila I. Kuncheva, Reyer Zwiggelaar, Timothy Claypole, Keir E. Lewis

Research output: Contribution to journalArticlepeer-review

Abstract

119 COPD patients (with no other pulmonary pathology, heart failure, renal failure or malignancy) and 63 healthy controls were recruited. Subjects underwent screening questions then performed spirometry, had BMI calculated, Oxygen saturations recorded and smoking status validated with eCO measurement. Subjects fasted for four hours and rested for 20 minutes in the same room prior to breath sample collection in triplicate.
Breath samples were collected using Bio-VOC® breath sampler and analyzed by Gas Chromatography-Mass Spectrometry. Multiple Machine learning approaches were applied on total VOCs (n= 2075) as well as pre-selected VOCs (n= 128, which only occurred in more than 5% of subjects with quality rating above 50%) to generate predictive models. Adequacy of models was assessed by generating Receiver Operating Characteristic (ROC) curves.
Original languageEnglish
Pages (from-to)A4517-A4517
Number of pages1
JournalAmerican Journal of Respiratory and Critical Care Medicine
Volume185
DOIs
Publication statusPublished - May 2012

Fingerprint

Dive into the research topics of 'Exhaled Breath Analysis For Volatile Organic Compounds (VOCs) Can Distinguish COPD From Controls'. Together they form a unique fingerprint.

Cite this