Analysis of Exhaled Breath From Patients With Lung-/Airway Diseases (BigExBrESs)
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Lung-/Airway Diseases
- Sponsor
- University of Zurich
- Enrollment
- 5000
- Locations
- 1
- Primary Endpoint
- Molecular breath pattern
- Status
- Recruiting
- Last Updated
- last year
Overview
Brief Summary
Ananlyis of exhaled breath of patients with lung-/airway diseases to identify and distinguish respiratory diseases, and improve the disease manangament.
Detailed Description
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.
Investigators
Eligibility Criteria
Inclusion Criteria
- •Signed informed consent
- •Age ≥ 18 years at study entry
Exclusion Criteria
- •Physical or intellectual impairment precluding informed consent or protocol adherence
- •Known pregnancy
Outcomes
Primary Outcomes
Molecular breath pattern
Time Frame: at baseline
Comparison of molecular weights of breath features from patients with different respiratory diseases
Secondary Outcomes
- Controls(at baseline)
- Symptoms(at baseline)
- Change in molecular breath pattern(over one year)
- Inflammatory markers(at baseline)