A Clinical Study of the Performance of a Glucose Blinding Protein-Based Continuous Glucose Monitor (GBP CGM) (SMA002)
![]() |
The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details. |
ClinicalTrials.gov Identifier: NCT01469715 |
Recruitment Status
:
Completed
First Posted
: November 10, 2011
Results First Posted
: July 31, 2015
Last Update Posted
: July 31, 2015
|
- Study Details
- Tabular View
- Study Results
- Disclaimer
- How to Read a Study Record
The purpose of this study is to assess the accuracy of the Becton Dickenson (BD) Technologies Glucose Binding Protein-Based Continuous Glucose Monitor (GBP CGM) in patients with Type 1 diabetes during low (goal glucose 55 mg/dL), normal (80-140 mg/dL) and high (>180mg/dL) glucose levels over a 24 hour period. This will be achieved by monitoring blood sugar levels when a regular dinner meal is given, when a liquid breakfast meal (BOOST Original containing 41 grams Carbohydrates (CHO), 4 grams fat, 10 grams protein) is given, when subcutaneous insulin is dosed to induce hypoglycemia to a goal of 55 mg/dL, and when a regular lunch meal is given. A Continuous Glucose Monitor (CGM) is an electronic device that measures and displays blood sugar (glucose) levels in the body throughout the day and night. The method being used to detect blood sugar in the investigational Glucose Binding Protein-Based Continuous Glucose Monitor (GBP CGM) is different than the method that is currently in use by commercially available models.
Some sensors cannot tell the difference between glucose (sugar) and other substances such as Tylenol, aspirin or citric acid etc. Because they cannot tell the difference, they may give false readings. The GBP CGM is made to only recognize glucose in the body rather than other substances (e.g., Tylenol, aspirin, citric acid, etc.). As a result, the investigators expect the new GBP CGM to be more accurate at detecting low blood sugar levels than the current devices.
Condition or disease | Intervention/treatment | Phase |
---|---|---|
Type 1 Diabetes Mellitus | Device: GBP CGM | Phase 2 |
Study Type : | Interventional (Clinical Trial) |
Actual Enrollment : | 16 participants |
Intervention Model: | Single Group Assignment |
Masking: | None (Open Label) |
Primary Purpose: | Supportive Care |
Official Title: | A Clinical Study of the Warm-Up, Accuracy, and Lag Performance of a Glucose Blinding Protein-Based Continuous Glucose Monitor (GBP CGM) |
Study Start Date : | November 2011 |
Actual Primary Completion Date : | July 2012 |
Actual Study Completion Date : | July 2012 |

Arm | Intervention/treatment |
---|---|
Experimental: GBP-CGM
All participants will wear one active GBP-CGM and one inactive GBP-CGM
|
Device: GBP CGM
Visit 1: Screening visit to determine if subject qualifies for the study. Visit 2: Inpatient admission requiring a 25.5-hour hospital stay. Each subject will wear one active & one mock device simultaneously during hyperglycemic & hypoglycemic challenge conditions to observe a wide range of glucose values. Visit 3 & 4: Subjects will return to the research center approximately 24 & 48 hours after sensor removal, respectively, for evaluation of the postimplantation sensor site. Visit 5: Subjects will return to the research center approximately 28 days post inpatient admission. Blood samples for future testing of GBP and polyethylene Glycol neutralizing antibodies will be taken at Visit 1 & 5.
Other Name: Glucose binding protein-based continuous glucose monitor
|
- Absolute Relative Difference (ARD) [ Time Frame: 25.5 hours ]
ARD=100*(G_sensor-G_reference)/G_reference
Calculated for when patient's G_ref was Normal (70-180 mg/dl), Hyperglycemic (>180 mg/dl) and Hypoglycemic (<70 mg/dl)
The study data includes 208 paired sensor-YSI plasma glucose readings (G_reference) for each GBP CGM sensor (G_sensor) inserted for 24 hours during hyperglycemic and hypoglycemic challenge conditions. Data pairs will permit the detailed evaluation of sensor performance parameters, including static accuracy metrics such as median and mean absolute deviations and median and mean absolute relative deviation and Point CG-EGA, as well as dynamic parameters, such as warm-up time, trend accuracy (Rate CG-EGA), and sensor lag.

Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the contacts provided below. For general information, Learn About Clinical Studies.
Ages Eligible for Study: | 21 Years to 65 Years (Adult) |
Sexes Eligible for Study: | All |
Accepts Healthy Volunteers: | No |
Inclusion Criteria:
- Clinical diagnosis of type 1 diabetes mellitus for ≥1 year. For an individual to be enrolled at least one criterion from each list must be met.
-
Criteria for documented hyperglycemia (at least 1 must be met):
- Fasting glucose ≥126 mg/dL - confirmed
- Two-hour oral Glucose Tolerance Tests (OGTT) glucose ≥200 mg/dL - confirmed
- HbA1c ≥6.5% documented - confirmed
- Random glucose ≥200 mg/dL with symptoms
- No data at diagnosis is available but the participant has a convincing history of hyperglycemia consistent with diabetes
-
Criteria for requiring insulin at diagnosis (1 must be met):
- Participant required insulin at diagnosis and continually thereafter
- Participant did not start insulin at diagnosis but upon investigator review likely needed insulin (significant hyperglycemia that did not respond to oral agents) and did require insulin eventually and used continually
- Participant did not start insulin at diagnosis but continued to be hyperglycemic, had positive islet cell antibodies - consistent with latent autoimmune diabetes in adults (LADA) and did require insulin eventually and used continually
- Use of an insulin pump to treat his or her diabetes for at least six months prior to the study.
- Actively using a bolus calculator function with the current insulin pump with pre-defined parameters for glucose goal(s), carbohydrate ratio(s), and insulin sensitivity factor(s).
- Signed informed consent
- Age ≥21 and <65 years old
- Body mass index between 19 and 30 kg/m2, inclusive
- HbA1c ≤11%
Exclusion Criteria:
- Uncontrolled arterial hypertension (diastolic blood pressure >90 mm Hg and/or systolic blood pressure >160 mm Hg)
- Impaired hepatic function measured as alanine aminotransferase or aspartate aminotransferase ≥three times the upper reference limit
- Impaired renal function measured as creatinine >1.2 times above the upper limit of normal
- Diabetic ketoacidosis in the past 6 months
- Severe hypoglycemia resulting in a seizure or loss of consciousness in the 12 months prior to enrollment
- Conditions which may increase the risk of induced hypoglycemia such as known coronary artery disease, congestive heart failure, history of any cardiac disorder or arrhythmia, history of a cerebrovascular event, history of migraines, seizure disorder, syncope, adrenal insufficiency, or neurological disease.
- Current use of medications containing >4000 mg acetaminophen per day.
- Current use of L-Monoamine oxidases (MAO) inhibitors.
- Known microvascular (diabetic) complications (other than diabetic non-proliferative retinopathy),such as history of laser coagulation, proliferative diabetic retinopathy, known diabetic nephropathy (other than microalbuminuria with normal creatinine) or neuropathy requiring treatment
- Known allergy to eggs
- Pregnancy, breast-feeding or intention of becoming pregnant
- Current or recent alcohol or drug abuse by patient history.

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT01469715
United States, Virginia | |
University of Virginia | |
Charlottesville, Virginia, United States, 22908 |
Principal Investigator: | Stacey Anderson, MD | University of Virginia, Center for Diabetes Technology |
Responsible Party: | Stacey Anderson, Assistant Professor, University of Virginia |
ClinicalTrials.gov Identifier: | NCT01469715 History of Changes |
Other Study ID Numbers: |
15696 |
First Posted: | November 10, 2011 Key Record Dates |
Results First Posted: | July 31, 2015 |
Last Update Posted: | July 31, 2015 |
Last Verified: | July 2015 |
Keywords provided by Stacey Anderson, University of Virginia:
Continuous Glucose Monitor |
Additional relevant MeSH terms:
Diabetes Mellitus Diabetes Mellitus, Type 1 Glucose Metabolism Disorders Metabolic Diseases |
Endocrine System Diseases Autoimmune Diseases Immune System Diseases |