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

University of Zurich (UZH)

Status: Enrolling

Conditions: Lung-/Airway Diseases

Treatments: Other: No intervention

Study type: Observational

Funder types: Other

Identifiers

NCT05458934

2021-00539

Details and patient eligibility

About

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

Full 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.

Enrollment: 5,000 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: Accepts Healthy Volunteers

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

Trial design

5,000 participants in 2 patient groups

Lung-/Airway diseases

Description:

Patients with lung-/airway diseases

Treatment:

Other: No intervention

Controls

Description:

Participants without lung-/airway disease

Treatment:

Other: No intervention