BACKGROUND: Fixed airflow limitation can be found both in asthma and chronic obstructive pulmonary disease (COPD), posing a day-to-day diagnostic challenge. OBJECTIVE: We aimed to determine the external validity of metabolomic analysis of exhaled air by electronic nose for distinguishing asthma and COPD in patients with fixed airways obstruction. METHODS: One hundred patients were included in a cross-sectional design: 60 asthma patients: 21 with fixed airways obstruction (fixed asthma), 39 with reversible airways obstruction (classic asthma) and 40 COPD patients (GOLD stages II-III). Standardized sampling of exhaled breath was performed and volatile organic compounds were captured using an electronic nose resulting in breathprints. External validity in newly recruited patients (validation sets) was tested using a previous and independent training set. Breathprints were analysed by principal component and canonical discriminant analysis and area under the curve (AUC) of receiver operating characteristic curves. RESULTS: External validity of breathprints showed 88% accuracy for distinguishing fixed asthma from COPD (AUC 0.95, 95% CI 0.84-1.00, sensitivity 85%, specificity 90%) and 83% for classic asthma (AUC 0.93, 95% CI 0.87-1.00, sensitivity 91%, specificity 90%) (both P<0.001). Discriminative accuracy was not confounded by current smoking. CONCLUSIONS AND CLINICAL RELEVANCE: External validation of exhaled breath molecular profiling shows high accuracy in distinguishing asthma and COPD in newly recruited patients with fixed airways obstruction. Exhaled air analysis may therefore reduce misdiagnosis in obstructive airways diseases, potentially leading to more appropriate management.
BACKGROUND: Fixed airflow limitation can be found both in asthma and chronic obstructive pulmonary disease (COPD), posing a day-to-day diagnostic challenge. OBJECTIVE: We aimed to determine the external validity of metabolomic analysis of exhaled air by electronic nose for distinguishing asthma and COPD in patients with fixed airways obstruction. METHODS: One hundred patients were included in a cross-sectional design: 60 asthmapatients: 21 with fixed airways obstruction (fixed asthma), 39 with reversible airways obstruction (classic asthma) and 40 COPDpatients (GOLD stages II-III). Standardized sampling of exhaled breath was performed and volatile organic compounds were captured using an electronic nose resulting in breathprints. External validity in newly recruited patients (validation sets) was tested using a previous and independent training set. Breathprints were analysed by principal component and canonical discriminant analysis and area under the curve (AUC) of receiver operating characteristic curves. RESULTS: External validity of breathprints showed 88% accuracy for distinguishing fixed asthma from COPD (AUC 0.95, 95% CI 0.84-1.00, sensitivity 85%, specificity 90%) and 83% for classic asthma (AUC 0.93, 95% CI 0.87-1.00, sensitivity 91%, specificity 90%) (both P<0.001). Discriminative accuracy was not confounded by current smoking. CONCLUSIONS AND CLINICAL RELEVANCE: External validation of exhaled breath molecular profiling shows high accuracy in distinguishing asthma and COPD in newly recruited patients with fixed airways obstruction. Exhaled air analysis may therefore reduce misdiagnosis in obstructive airways diseases, potentially leading to more appropriate management.
Authors: Janet G Shaw; Annalicia Vaughan; Annette G Dent; Phoebe E O'Hare; Felicia Goh; Rayleen V Bowman; Kwun M Fong; Ian A Yang Journal: J Thorac Dis Date: 2014-11 Impact factor: 2.895
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
Authors: Koen de Heer; Marc P van der Schee; Koos Zwinderman; Inge A H van den Berk; Caroline Elisabeth Visser; Rien van Oers; Peter J Sterk Journal: J Clin Microbiol Date: 2013-03-06 Impact factor: 5.948
Authors: K de Heer; M G M Kok; N Fens; E J M Weersink; A H Zwinderman; M P C van der Schee; C E Visser; M H J van Oers; P J Sterk Journal: J Clin Microbiol Date: 2015-12-16 Impact factor: 5.948