Analysis of Exhaled Breath From Patients With Lung-/Airway Diseases (BigExBrESs)
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 5,000
- 试验地点
- 2
- 主要终点
- Molecular breath pattern
研究概览
简要总结
Ananlyis of exhaled breath of patients with lung-/airway diseases to identify and distinguish respiratory diseases, and improve the disease manangament.
详细描述
Breath analysis offers a unique opportunity to non-invasively retrieve unlimited samples of relevant information on the ongoing internal biochemical processes, as parts of the most volatile components in blood reach the gas phase and are subsequently exhaled (e.g. detection of ethanol in breath). Analysis of exhaled breath provides biochemical information about the metabolism and the pathophysiological state. Chemical analysis of exhaled breath with mass spectrometry identified numerous volatile organic compounds (VOCs) [low molecular weightcomponents:< 500 Dalton (Da)]. Using Big Data analytics, specific patterns of diverse respiratory disease (e.g. for COPD and asthma) can be identified and the different diseases can be distinguished from each other. Specific Big Data Analytics might also improve the management of disease (e.g.avoiding of exacerbations) by identifying early signs of exacerbation risk.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Control
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Signed informed consent
- •Age ≥ 18 years at study entry
排除标准
- •Physical or intellectual impairment precluding informed consent or protocol adherence
- •Known pregnancy
结局指标
主要结局
Molecular breath pattern
时间窗: at baseline
Comparison of molecular weights of breath features from patients with different respiratory diseases
次要结局
- Controls(at baseline)
- Symptoms(at baseline)
- Change in molecular breath pattern(over one year)
- Inflammatory markers(at baseline)