Oriol Sibila1, Laia Garcia-Bellmunt2, Jordi Giner2, Jose Luis Merino3, Guillermo Suarez-Cuartin2, Alfons Torrego2, Ingrid Solanes2, Diego Castillo2, Jose Luis Valera4, Borja G Cosio4, Vicente Plaza2, Alvar Agusti5. 1. Department of Respiratory Medicine, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomédica Sant Pau (IIB Sant Pau), Universitat Autònoma de Barcelona, Department of Medicine, Barcelona Respiratory Network (BRN), Barcelona, Spain. Electronic address: osibila@santpau.cat. 2. Department of Respiratory Medicine, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomédica Sant Pau (IIB Sant Pau), Universitat Autònoma de Barcelona, Department of Medicine, Barcelona Respiratory Network (BRN), Barcelona, Spain. 3. RFic Group, École Polytechnique Fédérale de Lausanne, Switzerland. 4. Department of Respiratory Medicine, Hospital Son Espases, Palma de Mallorca, CIBER Enfermedades Respiratorias (CIBERES), Spain. 5. Thorax Institute, Hospital Clinic, IDIBAPS, Univ Barcelona, FISIB, CIBER Enfermedades Respiratorias (CIBERES), Barcelona Respiratory Network (BRN), Barcelona, Spain.
Abstract
BACKGROUND: Airway bacterial colonization by potentially pathogenic microorganisms occurs in a proportion of patients with Chronic Obstructive Pulmonary Disease (COPD). It increases airway inflammation and influences outcomes negatively. Yet, its diagnosis in clinical practice is not straightforward. The electronic nose is a new non-invasive technology capable of distinguishing volatile organic compound (VOC) breath-prints in exhaled breath. We aim to explore if an electronic nose can reliably discriminate COPD patients with and without airway bacterial colonization. METHODS: We studied 37 clinically stable COPD patients (67.8 ± 5.2 yrs, FEV1 41 ± 10% ref.) and 13 healthy controls (62.8 ± 5.2 yrs, FEV1 99 ± 10% ref.). The presence of potentially pathogenic microorganisms in the airways of COPD patients (n = 10, 27%) was determined using quantitative bacterial cultures of protected specimen brush. VOCs breath-prints were analyzed by discriminant analysis on principal component reduction, resulting in cross-validated accuracy values. Area Under Receiver Operating Characteristics (AUROC) was calculated using multiple logistic regression. RESULTS: Demographic, functional and clinical characteristics were similar in colonized and non-colonized COPD patients but their VOC breath-prints were different (accuracy 89%, AUROC 0.92, p > 0.0001). Likewise, VOCs breath-prints from colonized (accuracy 88%, AUROC 0.98, p < 0.0001) and non-colonized COPD patients (accuracy 83%, AUROC 0.93, p < 0.0001) were also different from controls. CONCLUSIONS: An electronic nose can identify the presence of airway bacterial colonization in clinically stable patients with COPD.
BACKGROUND: Airway bacterial colonization by potentially pathogenic microorganisms occurs in a proportion of patients with Chronic Obstructive Pulmonary Disease (COPD). It increases airway inflammation and influences outcomes negatively. Yet, its diagnosis in clinical practice is not straightforward. The electronic nose is a new non-invasive technology capable of distinguishing volatile organic compound (VOC) breath-prints in exhaled breath. We aim to explore if an electronic nose can reliably discriminate COPDpatients with and without airway bacterial colonization. METHODS: We studied 37 clinically stable COPDpatients (67.8 ± 5.2 yrs, FEV1 41 ± 10% ref.) and 13 healthy controls (62.8 ± 5.2 yrs, FEV1 99 ± 10% ref.). The presence of potentially pathogenic microorganisms in the airways of COPDpatients (n = 10, 27%) was determined using quantitative bacterial cultures of protected specimen brush. VOCs breath-prints were analyzed by discriminant analysis on principal component reduction, resulting in cross-validated accuracy values. Area Under Receiver Operating Characteristics (AUROC) was calculated using multiple logistic regression. RESULTS: Demographic, functional and clinical characteristics were similar in colonized and non-colonized COPDpatients but their VOC breath-prints were different (accuracy 89%, AUROC 0.92, p > 0.0001). Likewise, VOCs breath-prints from colonized (accuracy 88%, AUROC 0.98, p < 0.0001) and non-colonized COPDpatients (accuracy 83%, AUROC 0.93, p < 0.0001) were also different from controls. CONCLUSIONS: An electronic nose can identify the presence of airway bacterial colonization in clinically stable patients with COPD.
Authors: Oriol Sibila; Laia Garcia-Bellmunt; Jordi Giner; Ana Rodrigo-Troyano; Guillermo Suarez-Cuartin; Alfons Torrego; Diego Castillo; Ingrid Solanes; Eder F Mateus; Silvia Vidal; Ferran Sanchez-Reus; Ernest Sala; Borja G Cosio; Marcos I Restrepo; Antonio Anzueto; James D Chalmers; Vicente Plaza Journal: Ann Am Thorac Soc Date: 2016-05
Authors: Hanaa Shafiek; Federico Fiorentino; Jose Luis Merino; Carla López; Antonio Oliver; Jaume Segura; Ivan de Paul; Oriol Sibila; Alvar Agustí; Borja G Cosío Journal: PLoS One Date: 2015-09-09 Impact factor: 3.240