医学
电子鼻
哮喘
气体分析呼吸
接收机工作特性
鼻子
内科学
曲线下面积
过敏性哮喘
胃肠病学
免疫学
外科
生物
解剖
神经科学
作者
Silvano Dragonieri,Vitaliano Nicola Quaranta,Pierluigi Carratù,Teresa Ranieri,Onofrio Resta
出处
期刊:Biomarkers
[Taylor & Francis]
日期:2018-08-03
卷期号:24 (1): 70-75
被引量:30
标识
DOI:10.1080/1354750x.2018.1508307
摘要
To assess whether an e-nose could discriminate between subjects affected by allergic rhinitis with and without concomitant extrinsic asthma, as well as from healthy controls, in terms of exhaled VOC-profile.Fourteen patients with Extrinsic Asthma and Allergic Rhinitis (AAR), 14 patients with Allergic Rhinitis without asthma (AR) and 14 healthy controls (HC) participated in a cross-sectional study. Exhaled breath was collected by a standardized method and sampled by an e-nose (Cyranose 320). Raw data were reduced by Principal component analysis and analyzed by canonical discriminant analysis. Cross-validation accuracy (CVA) and Receiver Operating Characteristic(ROC)-curves were calculated. External validation in newly recruited patients (7 AAR, 7 AR and 7 HC) was tested using the previous training model.Breathprints of patients with AR clustered from those with AAR (CVA = 85.7%), as well as HC (CVA = 82.1%). Breathprints from AAR were also separated from those of HC (CVA = 75.0%). External validation confirmed the above findings.An e-nose can discriminate exhaled breath from subjects with allergic rhinitis with and without extrinsic asthma, which represent two different diseases with partly overlapping features. This supports the view of using breath profiling to diagnose asthma also in patients with allergic rhinitis.
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