Miniaturized Breath Sensor for Diabetes Management
This study is testing a new, small device called a Sensing Device that can detect changes in blood sugar (glucose) levels by analyzing your breath. We want to see if this device can tell when someone with diabetes has high blood sugar (hyperglycemia) or low blood sugar (hypoglycemia) by looking for specific chemicals in their breath. You can join if you are 7 to 25 years old, have type 1 or type 2 diabetes, use a Dexcom G6 or G7 continuous glucose monitor (CGM), and are attending a diabetes camp in Indiana. The main goal is to see if the signals from this breath sensor match your blood glucose readings from your CGM over one week during the summer camp.
- Study design
- This interventional study plans to enroll 40 participants. It is testing a Sensing Device and Tedlar Bags.
- What's involved
- You would provide breath samples into the miniaturized sensing device and Tedlar bags during normal, low, and high blood sugar levels. You also need to share your CGM data for the study duration and be able to fill a breath collection bag.
- Compensation
- Not stated in the trial record.
- Follow-up
- Your sensor features will be correlated with blood glucose measurements for 1 week during the summer camp.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Miniaturized Breath-based Sensor for the Detection of Hypo- and Hyperglycemia
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Linda DiMeglio, MD · PRINCIPAL_INVESTIGATOR · Indiana University
- Mark Woollam, PhD · PRINCIPAL_INVESTIGATOR · Indiana University
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Sensor Features Correlate with Blood Glucose Measurements1 week for the summer camp.
Detection of exhaled VOC concentrations via the miniaturized laboratory device that correlate with hyper- and hypoglycemic episodes determined through finger stick and CGM data. It is anticipated that the device will be capable of noninvasively estimating blood glucose levels with approximately 30% agreement relative to CGM measurements, while accurately identifying hypo- and hyperglycemic events with greater than 85-90% sensitivity/specificity.