Sibila Oriol, Garcia-Bellmunt Laia, Giner Jordi, Merino Jose Luis, Suarez-Cuartin Guillermo, Torrego Alfons, Solanes Ingrid, Castillo Diego, Valera Jose Luis, Cosio Borja G, Plaza Vicente, Agusti Alvar
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.
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.
Respir Med. 2014 Nov;108(11):1608-14. doi: 10.1016/j.rmed.2014.09.008. Epub 2014 Sep 19.
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.
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.
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.
An electronic nose can identify the presence of airway bacterial colonization in clinically stable patients with COPD.
慢性阻塞性肺疾病(COPD)患者中,一部分会出现气道被潜在致病微生物定植的情况。这会加重气道炎症并对预后产生负面影响。然而,在临床实践中对其进行诊断并非易事。电子鼻是一种新型非侵入性技术,能够区分呼出气中的挥发性有机化合物(VOC)呼吸指纹。我们旨在探讨电子鼻能否可靠地区分有和没有气道细菌定植的COPD患者。
我们研究了37例临床稳定的COPD患者(67.8±5.2岁,FEV1为预计值的41±10%)和13名健康对照者(62.8±5.2岁,FEV1为预计值的99±10%)。使用保护性标本刷的定量细菌培养法确定COPD患者(n = 10,27%)气道中潜在致病微生物的存在情况。通过对主成分降维进行判别分析来分析VOC呼吸指纹,得出交叉验证的准确性值。使用多元逻辑回归计算受试者工作特征曲线下面积(AUROC)。
定植和未定植的COPD患者在人口统计学、功能和临床特征方面相似,但他们的VOC呼吸指纹不同(准确性89%,AUROC 0.92,p>0.0001)。同样,定植(准确性88%,AUROC 0.98,p<0.0001)和未定植的COPD患者(准确性83%,AUROC 0.93,p<0.0001)的VOC呼吸指纹也与对照组不同。
电子鼻能够识别临床稳定的COPD患者气道细菌定植的情况。