Analysis of Exhaled Breath From Patients With Lung-/Airway Diseases (BigExBrESs)

Study Overview
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Brief Summary
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Ananlyis of exhaled breath of patients with lung-/airway diseases to identify and distinguish respiratory diseases, and improve the disease manangament.

Detailed Description
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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.

Official Title
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Analysis of Exhaled Breath From Patients With Lung-/Airway Diseases (BigExBrESs)

Conditions
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Lung-/Airway Diseases

Intervention / Treatment
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* Other: No intervention


Participation Criteria
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Eligibility Criteria
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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

Ages Eligible for Study
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Minimum Age: 18 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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Accepts Healthy Volunteers

Study Plan
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How is the study designed?
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Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Lung-/Airway diseases<br>Patients with lung-/airway diseases | Other: No intervention<br>* no intervention<br>|
| Controls<br>Participants without lung-/airway disease | Other: No intervention<br>* no intervention<br>|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Molecular breath pattern | Comparison of molecular weights of breath features from patients with different respiratory diseases | at baseline | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Change in molecular breath pattern | Change in the molecular breath pattern during the course of the disease (untargeted approach) | over one year | 
| Symptoms | Correlation/Association of molecular weights of specific breath features with symptoms (e.g. dyspnea) | at baseline | 
| Inflammatory markers | Correlation/Association of molecular weights of specific breath features with inflammatory markers (e.g. eosinophils) | at baseline | 
| Controls | Differentiation of molecular breath pattern (m/z ratios of molecules in exhaled breath) between diseased patients and participants without respiratory disease (untargeted approach) | at baseline |