An observational study in General Population, sponsored by University of Zurich. Completed at 1 site in Switzerland. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2019-10-18.
Sponsored by University of Zurich · Observational
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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General population
Exclusion Criteria:
General population
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
Time frame: one hour, single measurement, no follow-up
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.
Time frame: one hour, single measurement, no follow-up
This study is completed, as verified in Oct 2019. You cannot join it, but the record below documents what was studied.
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University of Zurich