Using the Electronic Nose to Identify Airway Infection during COPD Exacerbations
| العنوان: | Using the Electronic Nose to Identify Airway Infection during COPD Exacerbations |
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| المؤلفون: | Hanaa Shafiek, Antonio Oliver, Borja G. Cosío, Jaume Segura, Oriol Sibila, Jose Luis Merino, Alvar Agusti, Carla López, Federico Fiorentino, Ivan de Paul |
| المساهمون: | Universitat de Barcelona |
| المصدر: | PLoS One r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau instname Dipòsit Digital de la UB Universidad de Barcelona PLoS ONE Recercat. Dipósit de la Recerca de Catalunya PLoS ONE, Vol 10, Iss 9, p e0135199 (2015) |
| بيانات النشر: | PUBLIC LIBRARY SCIENCE, 2015. |
| سنة النشر: | 2015 |
| مصطلحات موضوعية: | Male, humanos, lcsh:Medicine, Pneumònia, Pulmonary Disease, Chronic Obstructive, lcsh:Science, Electronic Nose, Lung, Malalties pulmonars obstructives cròniques, mediana edad, COPD, anciano, Multidisciplinary, Bacterial Infections, Equipment Design, Middle Aged, medicine.anatomical_structure, Estudi de casos, Breath Tests, Exhalation, Female, medicine.symptom, Research Article, compuestos orgánicos volátiles, medicine.medical_specialty, estudios de casos y controles, nariz electrónica, diseño de equipos, espiración, Internal medicine, medicine, Humans, Volatile organic compounds, Chronic obstructive pulmonary diseases, Intensive care medicine, Aged, Volatile Organic Compounds, Electronic nose, Bacteria, pruebas espiratorias, business.industry, lcsh:R, Case-control study, Compostos orgànics volàtils, neumonía, Pneumonia, medicine.disease, respiratory tract diseases, Cross-Sectional Studies, pulmón, Case-Control Studies, infecciones bacterianas, Sputum, lcsh:Q, Case studies, business, Airway, estudios transversales |
| الوصف: | Background The electronic nose (e-nose) detects volatile organic compounds (VOCs) in exhaled air. We hypothesized that the exhaled VOCs print is different in stable vs. exacerbated patients with chronic obstructive pulmonary disease (COPD), particularly if the latter is associated with airway bacterial infection, and that the e-nose can distinguish them. Methods Smell-prints of the bacteria most commonly involved in exacerbations of COPD (ECOPD) were identified in vitro. Subsequently, we tested our hypothesis in 93 patients with ECOPD, 19 of them with pneumonia, 50 with stable COPD and 30 healthy controls in a cross-sectional case-controlled study. Secondly, ECOPD patients were re-studied after 2 months if clinically stable. Exhaled air was collected within a Tedlar bag and processed by a Cynarose 320 e-nose. Breath-prints were analyzed by Linear Discriminant Analysis (LDA) with One Out technique and Sensor logic Relations (SLR). Sputum samples were collected for culture. Results ECOPD with evidence of infection were significantly distinguishable from non-infected ECOPD (p = 0.018), with better accuracy when ECOPD was associated to pneumonia. The same patients with ECOPD were significantly distinguishable from stable COPD during follow-up (p = 0.018), unless the patient was colonized. Additionally, breath-prints from COPD patients were significantly distinguished from healthy controls. Various bacteria species were identified in culture but the e-nose was unable to identify accurately the bacteria smell-print in infected patients. Conclusion E-nose can identify ECOPD, especially if associated with airway bacterial infection or pneumonia. This project was supported by the Instituto de Salud Carlos III (FIS PI12/02628) and the Spanish Respiratory Society. The funding sources were used to cover fungible expenses and had no influence on the results. |
| وصف الملف: | application/pdf |
| تدمد: | 1932-6203 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20afc4ddc284c169108f35572d92cc90Test https://iibsantpau.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=8336Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....20afc4ddc284c169108f35572d92cc90 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 19326203 |
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