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| Name | Class |
|---|---|
| Deep Breath Intelligence (DBI) | UNKNOWN |
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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.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Lung-/Airway diseases | Patients with lung-/airway diseases |
| |
| Controls | Participants without lung-/airway disease |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| No intervention | Other | no intervention |
|
| Measure | Description | Time Frame |
|---|---|---|
| Molecular breath pattern | Comparison of molecular weights of breath features from patients with different respiratory diseases | at baseline |
| 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) |
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Inclusion Criteria:
Exclusion Criteria:
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General population
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Malcolm Kohler, MD | Contact | +41442551111 | malcolm.kohler@usz.ch | |
| Noriane Sievi, MSc | Contact | +41442559815 | noriane.sievi@usz.ch |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University Hospital Zurich | Recruiting | Zurich | Canton of Zurich | 8091 | Switzerland |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 41776387 | Derived | Sievi NA, Schmidt F, Baur DM, Fricke K, Herth J, Serenyi D, Roeder M, Mosca N, Vesenbeckh S, Ulrich S, Clarenbach CF, Kohler M. Metabolic effects following initiation of single-inhaler triple therapy in COPD: a prospective observational study. Mol Med. 2026 Mar 3;32(1):51. doi: 10.1186/s10020-026-01449-w. | |
| 40474893 | Derived |
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if requested
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| 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 |
| Basler S, Fricke K, Sievi NA, Arvaji A, Schmidt F, Herth J, Baur DM, Kohler M, Ulrich S, Lichtblau M. Exploring breath metabolomics as a non-invasive tool for detecting pulmonary vascular disease. Eur Heart J Open. 2025 May 23;5(3):oeaf060. doi: 10.1093/ehjopen/oeaf060. eCollection 2025 May. |