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| Name | Class |
|---|---|
| Swiss Federal Institute of Technology | OTHER |
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Breath analysis is a non-invasive procedure to detect and monitor diseases and it is particularly attractive for patients who have to routinely check biomarkers, such as diabetics (blood glucose) or end-stage renal disease patients (creatinine). Preliminary data in a small study with healthy subjects showed a high correlation between blood glucose levels and acetone. Therefore, the objective of this study is to correlate biomarkers (glucose level and creatinine, respectively) with the corresponding target breath components (acetone and NH3, respectively) detected by portable gas sensors in the general population and to assess possible predictive models for biomarker estimations from the corresponding target breath component and predictive models to estimate abnormal biomarker concentrations.
Breath analysis is a non-invasive procedure to detect and monitor diseases and it is particularly attractive for patients who have to routinely check biomarkers, such as diabetics (blood glucose) or end-stage renal disease patients (creatinine). The proposed breath sensors analyse breath in real-time with on-line display of breath parameters, are portable, simple to operate, inexpensive and offer a sufficiently low limit of detection for the target breath markers, thus making them of high interest for daily clinical practice. Preliminary data in a small study with healthy subjects showed a high correlation between blood glucose levels and acetone.
The primary objective of this study is to correlate biomarkers (glucose level and creatinine, respectively) with the corresponding target breath components (acetone and NH3, respectively) detected by portable gas sensors in the general population. The secondary objectives of the study are to assess possible predictive models for biomarker estimations from the corresponding target breath component and predictive models to estimate abnormal biomarker concentrations.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| General population | General population |
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| Measure | Description | Time Frame |
|---|---|---|
| The primary outcome will be the correlation between biomarkers (glucose levels and creatinine, respectively) and target breath components (acetone and NH3, respectively) detected by portable gas sensors | one hour, single measurement, no follow-up |
| Measure | Description | Time Frame |
|---|---|---|
| The assessment of possible predictive models for biomarker estimations (glucose levels and creatinine) from the corresponding target breath component (acetone and NH3) and predictive models to estimate the abnormal biomarker concentrations. | one hour, single measurement, no follow-up |
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Inclusion Criteria:
Exclusion Criteria:
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General population
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| Name | Affiliation | Role |
|---|---|---|
| Malcolm Kohler, MD | University of Zurich | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University Hospital Zurich, Division of Pneumology | Zurich | Canton of Zurich | 8091 | Switzerland |
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