使用电子鼻分析呼出气体判断炎症性哮喘表征

       Inf lammatory Asthma Phenotype Discrimination Using an Electronic Nose Breath Analyzer
　　使用电子鼻分析呼出气体判断炎症性哮喘表征 Plaza V1, Crespo A1*, Giner J1, Merino JL2, Ramos-Barbón D1, Mateus EF1, Torrego A1, Cosio BG3, Agustí A4, Sibila O1
　　1Department 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 2RFic group. École Polytechnique Fédérale de Lausanne, Switzerland 3Department of Respiratory Medicine, Hospital Son Espases, Palma de Mallorca; CIBER Enfermedades Respiratorias (CIBERES), Spain 4Thorax Institute, Hospital Clinic, IDIBAPS, University of Barcelona; FISIB, CIBER Enfermedades Respiratorias (CIBERES); Barcelona Respiratory Network (BRN), Barcelona, Spain *This paper is part of the doctoral thesis of AC.
　　Abstract
　　Background and Objective: Patients with persistent asthma have different inflammatory phenotypes. The electronic nose is a new technology capable of distinguishing volatile organic compound (VOC) breath-prints in exhaled breath. The aim of the study was to investigate the capacity of electronic nose breath-print analysis to discriminate between different inflammatory asthma phenotypes (eosinophilic, neutrophilic, paucigranulocytic) determined by induced sputum in patients with persistent asthma.
　　持续性哮喘患者具有不同的炎症表型。电子鼻是一项新技术，能够区分呼出的呼吸中挥发性有机化合物（VOC）的呼吸痕迹。本研究的目的是探讨电子鼻呼吸印记分析对持续性哮喘患者诱导痰中不同炎症性哮喘表型（嗜酸性、中性粒细胞、嗜中性粒细胞）的鉴别能力。
　　Methods: Fifty-two patients with persistent asthma were consecutively included in a cross-sectional proof-of-concept study. Inflammatory asthma phenotypes (eosinophilic, neutrophilic and paucigranulocytic) were recognized by inflammatory cell counts in induced sputum. VOC breath-prints were analyzed using the electronic nose Cyranose 320 and assessed by discriminant analysis on principal component reduction, resulting in cross-validated accuracy values. Receiver operating characteristic (ROC) curves were calculated.
　　52名持续性哮喘患者被连续纳入一项横断面的概念验证研究。炎症性哮喘表型（嗜酸细胞、中性粒细胞和嗜中性粒细胞）通过诱导痰中的炎症细胞计数来识别。采用电子鼻Cyranose 320对VOC呼吸图进行分析，并通过主成分减少的判别分析进行评估，得出交叉验证的准确度值。计算了受试者工作特性曲线。
　　Results: VOC breath-prints were different in eosinophilic asthmatics compared with both neutrophilic asthmatics (accuracy 73%; P=.008; area under ROC, 0.92) and paucigranulocytic asthmatics (accuracy 74%; P=.004; area under ROC, 0.79). Likewise, neutrophilic and paucigranulocytic breath-prints were also different (accuracy 89%; P=.001; area under ROC, 0.88). Conclusion: An electronic nose can discriminate inflammatory phenotypes in patients with persistent asthma in a regular clinical setting. ClinicalTrials.gov identifier: NCT02026336.
　　嗜酸细胞性哮喘患者的VOC呼吸图与中性粒细胞性哮喘患者（准确度73%；p=0.008；ROC下面积0.92）和嗜中性粒细胞哮喘患者（准确度74%；p=0.004；ROC下面积0.79）的VOC呼吸图不同。同样，嗜中性粒细胞和肺腺细胞的呼吸印痕也不同（准确度89%；P=0.001；ROC下面积0.88）。结论：电子鼻能在常规临床环境下鉴别持续性哮喘患者的炎症表型。clinicaltrials.gov标识符：NCT00226336。
　　Keywords: Asthma. Electronic nose. Inflammation. Volatile organic compounds.
　　关键词：哮喘、电子鼻、炎症、挥发性有机化合物

这个经验很实用