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Results were not accurate; despite multiple efforts to troubleshoot.
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The overall goal for this pilot clinical trial is to explore the accuracy and acceptability of a non-invasive, wearable glucose sensor in patients living with DM. This study will compare needleless glucose sensor readings with glucometer measurements from patients with type 1 or type 2 diabetes (T1DM or T2DM), under varying conditions.
Self-monitoring of blood glucose (SMBG) can both facilitate and hinder adherence in patients with diabetes mellitus (DM). Readings provide real-time information on hypoglycemic and hyperglycemic excursions. These data are crucial to successfully managing this disease, as SMBG can help guide decisions on titrating medications, and can potentially encourage patient engagement. There are drawbacks. Piercing the skin to check glucose up to several times a day can be uncomfortable and obtrusive for a patient with DM. SMBG offers only a snapshot of the patient's glucose at the time of testing.
Continuous glucose monitoring (CGM) can reveal glucose trends. A subcutaneous sensor transmits interstitial glucose readings approximately every five minutes. Yet, sensor insertion requires a needle. Patients still must test SMBG about 4 times per day to calibrate the CGM sensor. This modality is less accurate with low or rapidly rising glucose. CGM is also not widely available, due to cost and insurance issues. A non-invasive glucose monitor, the GlucoWatch, was discontinued due to problems with accuracy and tolerability.
Compounding these challenges is the surging number of individuals with DM. Every 19 seconds, an American 20 years of age or older is diagnosed with DM. If current trends continue, 1 in 3 Americans could have DM by 2050.
There is thus an unmet need for a non-invasive glucose monitoring device. UCSD nanoengineers developed a flexible, ultra-thin sensor adherent to the skin, similar to a temporary tattoo. Preliminary data from seven individuals without DM demonstrated correlation between glucose measurements from this sensor and a glucometer. Evaluating this sensor in patients with DM will be critical: while hour-to-hour blood glucose fluctuates approximately 50% throughout the day in those without DM, it may vary up to 10-fold in patients with DM. This study would be the first to examine this sensor in individuals with DM. The investigators hypothesize that compared with a glucometer, a tattoo sensor can accurately measure glucose in patients with DM.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Wearing glucose sensor | Experimental | The study team will measure glucose readings from the non-invasive sensor and from a glucometer at the following time points: fasting, 1.5 to 2 hours after a meal, and before and after 15-30 minutes of pedaling on a stationary bicycle at 80% maximum heart rate.. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Wearing a non-invasive glucose sensor | Device | Glucose readings will be obtained from both a glucometer (fingerstick readings) and from the non-invasive glucose sensor at the following four timepoints: fasting, 1.5 to 2 hours after consuming a meal, and before and after 15-30 minutes of moderate exercise on a stationary bicycle. |
| Measure | Description | Time Frame |
|---|---|---|
| accuracy | how the non-invasive glucose sensor measurements correlate with glucometer readings | 1 year |
| Measure | Description | Time Frame |
|---|---|---|
| acceptability | how acceptable patients find this sensor | 1 year |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Edward C Chao, DO | UCSD | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| UCSD | San Diego | California | 92161 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 25496376 | Background | Bandodkar AJ, Jia W, Yardimci C, Wang X, Ramirez J, Wang J. Tattoo-based noninvasive glucose monitoring: a proof-of-concept study. Anal Chem. 2015 Jan 6;87(1):394-8. doi: 10.1021/ac504300n. Epub 2014 Dec 12. |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Aug 15, 2017 | Jul 8, 2020 | Prot_SAP_000.pdf |
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| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| ID | Term |
|---|---|
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D004700 | Endocrine System Diseases |
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