Respiratory Medicine, University of Marburg, University Hospital of Gießen and Marburg, Marburg, Germany.
Eur Respir J. 2013 Jul;42(1):145-55. doi: 10.1183/09031936.00091712. Epub 2012 Oct 25.
Diagnosis of obstructive sleep apnoea syndrome (OSAS) is technically demanding, cost-intensive and time-consuming. The measurement of volatile organic compounds by an electronic nose is an innovative method that determines distinct molecular patterns of exhaled breath in different patient groups. We addressed the following questions: What is the diagnostic accuracy of an electronic nose in the detection of OSAS and the ability to detect effects of standard therapy in patients with OSAS? Are these results related to changes in distinct markers of airway inflammation and extracellular remodelling? We included 40 OSAS patients and 20 healthy controls. Exhaled breath of all participants was analysed using the Cyranose 320 electronic nose. Pharyngeal washings were performed to sample the upper airway compartment. For statistical analysis linear discriminant analysis was employed. We identified a linear discriminant function separating OSAS from control (p<0.0001). The corresponding area under the receiver-operating curve was 0.85 (95% CI 0.75-0.96; sensitivity 0.93 and specificity 0.7). In pharyngeal washing fluids of OSAS patients, we observed higher levels of α1-antitrypsin and markers of extracellular remodelling compared to controls. The electronic nose can distinguish between OSAS patients and controls with high accuracy.
阻塞性睡眠呼吸暂停综合征(OSAS)的诊断技术要求高、成本高且耗时。电子鼻测量挥发性有机化合物是一种创新方法,可确定不同患者群体呼出气体中的独特分子模式。我们提出了以下问题:电子鼻在检测 OSAS 中的诊断准确性以及检测 OSAS 患者标准治疗效果的能力如何?这些结果是否与气道炎症和细胞外重塑的不同标志物的变化有关?我们纳入了 40 名 OSAS 患者和 20 名健康对照者。使用 Cyranose 320 电子鼻分析所有参与者的呼气。进行咽冲洗以采集上呼吸道部位的样本。进行统计分析时采用了线性判别分析。我们确定了一个可将 OSAS 与对照组区分开的线性判别函数(p<0.0001)。相应的受试者工作特征曲线下面积为 0.85(95%CI 0.75-0.96;敏感性 0.93,特异性 0.7)。在 OSAS 患者的咽冲洗液中,我们观察到 α1-抗胰蛋白酶和细胞外重塑标志物的水平高于对照组。电子鼻可以非常准确地区分 OSAS 患者和对照组。