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使用电子鼻呼吸分析仪鉴别炎症性哮喘表型

Inflammatory Asthma Phenotype Discrimination Using an Electronic Nose Breath Analyzer.

作者信息

Plaza V, Crespo A, Giner J, Merino J L, Ramos-Barbón D, Mateus E F, Torrego A, Cosio B G, Agustí A, Sibila O

出版信息

J Investig Allergol Clin Immunol. 2015;25(6):431-7.

PMID:26817140
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.

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.

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.

摘要

背景与目的

持续性哮喘患者具有不同的炎症表型。电子鼻是一项能够区分呼出气中挥发性有机化合物(VOC)呼吸指纹图谱的新技术。本研究旨在探讨电子鼻呼吸指纹图谱分析在鉴别持续性哮喘患者中由诱导痰确定的不同炎症性哮喘表型(嗜酸性粒细胞性、中性粒细胞性、少粒细胞性)方面的能力。

方法

52例持续性哮喘患者连续纳入一项横断面概念验证研究。通过诱导痰中的炎症细胞计数识别炎症性哮喘表型(嗜酸性粒细胞性、中性粒细胞性和少粒细胞性)。使用电子鼻Cyranose 320分析VOC呼吸指纹图谱,并通过对主成分降维的判别分析进行评估,得出交叉验证准确性值。计算受试者工作特征(ROC)曲线。

结果

与中性粒细胞性哮喘患者(准确性73%;P = 0.008;ROC曲线下面积,0.92)和少粒细胞性哮喘患者(准确性74%;P = 0.004;ROC曲线下面积,0.79)相比,嗜酸性粒细胞性哮喘患者的VOC呼吸指纹图谱不同。同样,中性粒细胞性和少粒细胞性呼吸指纹图谱也不同(准确性89%;P = 0.001;ROC曲线下面积,0.88)。

结论

在常规临床环境中,电子鼻可鉴别持续性哮喘患者的炎症表型。ClinicalTrials.gov标识符:NCT02026336。

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