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The purpose of this 12 week feasibility study is to see how much more accurate a continuous glucose monitor (CGM) might be in individuals with type 1 diabetes if the investigators personalize sensor calibrations to the user, based on previous wear.
The purpose of this 12 week study is to see how much more accurate a continuous glucose monitor (CGM) might be if we personalize the sensor calibration algorithm for each individual. The calibration algorithm is a mathematical calculation built into the CGM. Currently, the CGM asks for a regular blood test (finger stick) measurement twice a day in order to make its calibration algorithm more accurate. Our goal is to keep refining the calculating ability so that it will provide personalized blood sugar control throughout the day for each individual using the sensor with the CGM.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| type 1 diabetes | type 1 diabetes with continuous glucose monitor (CGM) |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Continuous Glucose Monitor | Device | CGM sensor calibration individualization |
|
| Measure | Description | Time Frame |
|---|---|---|
| Accuracy of continuous glucose sensor output by individualizing sensor bias in subjects with type 1 diabetes, assessed by quantifying the improvement in CGM accuracy as measured by MARD (mean absolute relative difference). | 3 months |
| Measure | Description | Time Frame |
|---|---|---|
| Continuous Glucose Monitor sensor bias | continuous glucose monitor accuracy when compared to self monitoring of blood glucose (SMBG) using a standardized meter | 3 months |
| Continuous Glucose Monitor sensor failure |
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Inclusion Criteria:
Exclusion Criteria:
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Type 1 diabetes
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| Name | Affiliation | Role |
|---|---|---|
| Jordan Pinsker, M.D. | Sansum Diabetes Research Institute | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Sansum Diabetes Research Institute | Santa Barbara | California | 93105 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 29032732 | Result | Zavitsanou S, Lee JB, Pinsker JE, Church MM, Doyle FJ 3rd, Dassau E. A Personalized Week-to-Week Updating Algorithm to Improve Continuous Glucose Monitoring Performance. J Diabetes Sci Technol. 2017 Nov;11(6):1070-1079. doi: 10.1177/1932296817734367. Epub 2017 Oct 16. |
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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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| 3 months |