| Title: | Identification of Pseudomonas aeruginosa and airway bacterial colonization by an electronic nose in bronchiectasis |
| Author(s): | Suarez-Cuartin G; Giner J; Merino JL; Rodrigo-Troyano A; Feliu A; Perea L; Sanchez-Reus F; Castillo D; Plaza V; Chalmers JD; Sibila O; |
| Address: | "Department of Respiratory Medicine, Hospital de la Santa Creu i Sant Pau, Universitat Autonoma de Barcelona, Barcelona, Spain; Institut d'Investigacio Biomedica Sant Pau (IIB Sant Pau), Barcelona, Spain. Electronic Systems Group, Universitat de les Illes Balears, Palma de Mallorca, Spain. Institut d'Investigacio Biomedica Sant Pau (IIB Sant Pau), Barcelona, Spain. Institut d'Investigacio Biomedica Sant Pau (IIB Sant Pau), Barcelona, Spain; Department of Microbiology, Hospital de la Santa Creu i Sant Pau, Universitat Autonoma de Barcelona, Barcelona, Spain. Scottish Centre for Respiratory Research, University of Dundee, Dundee, UK. Department of Respiratory Medicine, Hospital de la Santa Creu i Sant Pau, Universitat Autonoma de Barcelona, Barcelona, Spain; Institut d'Investigacio Biomedica Sant Pau (IIB Sant Pau), Barcelona, Spain. Electronic address: osibila@santpau.cat" |
| DOI: | 10.1016/j.rmed.2018.02.008 |
| ISSN/ISBN: | 1532-3064 (Electronic) 0954-6111 (Linking) |
| Abstract: | "RATIONALE: Airway colonization by Potentially Pathogenic Microorganisms (PPM) in bronchiectasis is associated with worse clinical outcomes. The electronic nose is a non-invasive technology capable of distinguishing volatile organic compounds (VOC) in exhaled breath. We aim to explore if an electronic nose can reliably discriminate airway bacterial colonization in patients with bronchiectasis. METHODS: Seventy-three clinically stable bronchiectasis patients were included. PPM presence was determined using sputum culture. Exhaled breath was collected in Tedlar bags and VOC breath-prints were detected by the electronic nose Cyranose 320((R)). Raw data was reduced to three factors with principal component analysis. Univariate ANOVA followed by post-hoc least significant difference test was performed with these factors. Patients were then classified using linear canonical discriminant analysis. Cross-validation accuracy values were defined by the percentage of correctly classified patients. RESULTS: Forty-one (56%) patients were colonized with PPM. Pseudomonas aeruginosa (n?ª+=?ª+27, 66%) and Haemophilus influenzae (n?ª+=?ª+7, 17%) were the most common PPM. VOC breath-prints from colonized and non-colonized patients were significantly different (accuracy of 72%, AUROC 0.75, p?ª+ |
| Keywords: | Aged Analysis of Variance Bronchi/microbiology Bronchiectasis/*microbiology/physiopathology Cross-Sectional Studies *Electronic Nose Female Forced Expiratory Volume/physiology Humans Male Middle Aged Pseudomonas Infections/*diagnosis/physiopathology Pseud; |
| Notes: | "MedlineSuarez-Cuartin, Guillermo Giner, Jordi Merino, Jose Luis Rodrigo-Troyano, Ana Feliu, Anna Perea, Lidia Sanchez-Reus, Ferran Castillo, Diego Plaza, Vicente Chalmers, James D Sibila, Oriol eng Clinical Trial Research Support, Non-U.S. Gov't England 2018/03/05 Respir Med. 2018 Mar; 136:111-117. doi: 10.1016/j.rmed.2018.02.008. Epub 2018 Feb 13" |
