Inf lammatory Asthma Phenotype Discrimination Using an Electronic Nose Breath Analyzer
使用電子鼻分析呼出氣體判斷炎癥性哮喘表征
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.
持續性哮喘患者具有不同的炎癥表型。電子鼻是一項新技術，能夠區分呼出的呼吸中揮發性有機化合物(VOC)的呼吸痕跡。本研究的目的是探討電子鼻呼吸印記分析對持續性哮喘患者誘導痰中不同炎癥性哮喘表型(嗜酸性、中性粒細胞、嗜中性粒細胞)的鑒別能力。
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名持續性哮喘患者被連續納入一項橫斷面的概念驗證研究。炎癥性哮喘表型(嗜酸細胞、中性粒細胞和嗜中性粒細胞)通過誘導痰中的炎癥細胞計數來識別。采用電子鼻Cyranose 320對VOC呼吸圖進行分析，并通過主成分減少的判別分析進行評估，得出交叉驗證的準確度值。計算了受試者工作特性曲線。
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: NCT.
嗜酸細胞性哮喘患者的VOC呼吸圖與中性粒細胞性哮喘患者(準確度73%；p=0.008；ROC下面積0.92)和嗜中性粒細胞哮喘患者(準確度74%；p=0.004；ROC下面積0.79)的VOC呼吸圖不同。同樣，嗜中性粒細胞和肺腺細胞的呼吸印痕也不同(準確度89%；P=0.001；ROC下面積0.88)。結論：電子鼻能在常規臨床環境下鑒別持續性哮喘患者的炎癥表型。clinicaltrials.gov標識符：NCT。
Keywords: Asthma. Electronic nose. Inflammation. Volatile organic compounds.
關鍵詞：哮喘、電子鼻、炎癥、揮發性有機化合物
