Exhaled volatile organic compounds discriminate patients with chronic obstructive pulmonary disease from healthy subjects.

Exhaled volatile organic compounds discriminate patients with chronic obstructive pulmonary disease from healthy subjects.
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DOI:
10.2147/copd.s76212
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发表时间:
2015
影响因子:
2.8
通讯作者:
Darwiche K
Darwiche K
中科院分区:
医学3区
文献类型:
--
作者:
Besa V;Teschler H;Kurth I;Khan AM;Zarogoulidis P;Baumbach JI;Sommerwerck U;Freitag L;Darwiche K

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慢性阻塞性肺疾病(COPD)是一种以不完全可逆性气道阻塞为特征的慢性气道炎症性疾病。这组临床上异质的患者具有不同的表型。肺量测定和临床参数(例如呼吸困难的严重程度和恶化频率)用于诊断和评估 COPD 的严重程度。本研究的目的是探讨是否可以在慢性阻塞性肺病患者的呼出气中检测到挥发性有机化合物(VOC),以及这些挥发性有机化合物是否可以区分慢性阻塞性肺病患者与健康受试者。此外,我们的目的是研究挥发性有机化合物是否可以用作生物标志物,将患者分为不同的疾病亚组。采用离子淌度光谱法检测 COPD 患者呼出气中的 VOC。发现 COPD 组与健康吸烟者和非吸烟者组合之间有 137 个峰值具有统计显着性差异。研究发现,其中 6 种 VOC 能够正确区分 COPD 患者和健康对照,准确率达 70%。仅发现 15 个峰值在健康吸烟者和健康非吸烟者之间存在统计差异。此外,通过确定每个 VOC 峰值的截止水平,可以将 COPD 患者分为呼吸纹亚组。 1 秒用力呼气量、体重指数和 C 反应蛋白似乎在不同呼吸纹亚组中观察到的差异中发挥了作用。
Chronic obstructive pulmonary disease (COPD) is a chronic airway inflammatory disease characterized by incompletely reversible airway obstruction. This clinically heterogeneous group of patients is characterized by different phenotypes. Spirometry and clinical parameters, such as severity of dyspnea and exacerbation frequency, are used to diagnose and assess the severity of COPD. The purpose of this study was to investigate whether volatile organic compounds (VOCs) could be detected in the exhaled breath of patients with COPD and whether these VOCs could distinguish COPD patients from healthy subjects. Moreover, we aimed to investigate whether VOCs could be used as biomarkers for classifying patients into different subgroups of the disease. Ion mobility spectrometry was used to detect VOCs in the exhaled breath of COPD patients. One hundred and thirty-seven peaks were found to have a statistically significant difference between the COPD group and the combined healthy smokers and nonsmoker group. Six of these VOCs were found to correctly discriminate COPD patients from healthy controls with an accuracy of 70%. Only 15 peaks were found to be statistically different between healthy smokers and healthy nonsmokers. Furthermore, by determining the cutoff levels for each VOC peak, it was possible to classify the COPD patients into breathprint subgroups. Forced expiratory volume in 1 second, body mass index, and C-reactive protein seem to play a role in the discrepancies observed in the different breathprint subgroups.