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Mobile instrumentation platform to distinguish airway disorders

机译:移动仪表平台以区分气道障碍

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摘要

Asthma and chronic obstructive pulmonary disease (COPD) are distinct but clinically overlapping airway disorders which often create diagnostic and therapeutic dilemmas. Current strategies to discriminate these diseases are limited by insensitivity and poor performance due to biologic variability. We tested the hypothesis that a gas chromatograph / differential mobility spectrometer (GC/DMS) sensor could distinguish between clinically well-defined groups with airway disorders based on the volatile organic compounds (VOCs) obtained from exhaled breath. After comparing VOC profiles obtained from 13 asthma, 5 COPD, and 13 healthy control subjects, we found that VOC profiles distinguished asthma from healthy controls and also a subgroup of asthmatics taking the drug omalizumab from healthy controls. The VOC profiles could not distinguish between COPD and any of the other groups. Our results show a potential application of the GC/DMS for non-invasive and bedside diagnostics of asthma and asthma therapy monitoring. Future studies will focus on larger sample sizes and patient cohorts.
机译:哮喘和慢性阻塞性肺疾病(COPD)是截然不同但临床上重叠的气道疾病,通常会造成诊断和治疗上的困境。由于生物变异性,目前的区分这些疾病的策略受到不敏感性和性能不佳的限制。我们测试了一种假设,即气相色谱/差动迁移谱仪(GC / DMS)传感器可以根据呼出的挥发性有机化合物(VOC)区分临床上明确定义的气道疾病组。在比较了从13名哮喘,5名COPD和13名健康对照受试者获得的VOC资料后,我们发现VOC资料将哮喘与健康对照区别开来,并将哮喘患者与从健康对照中服用奥马珠单抗的哮喘患者区分开。 VOC配置文件无法区分COPD和其他任何组。我们的结果表明,GC / DMS在哮喘的无创和床旁诊断以及哮喘治疗监测中具有潜在的应用前景。未来的研究将集中于更大的样本量和患者队列。

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