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| Name | Class |
|---|---|
| University of California, Santa Barbara | OTHER |
| Mayo Clinic | OTHER |
| University of Virginia | OTHER |
| University of Padova |
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This is a feasibility study of an artificial pancreas (AP) system with our previously validated Zone-MPC and Health Monitoring System (HMS) algorithms (ClinicalTraisl.gov: NCT01929798) integrated into the Diabetes Assistant (DiAs) system.
This is a feasibility study of an artificial pancreas (AP) system with our previously validated Zone-MPC and Health Monitoring System (HMS) algorithms (ClinicalTraisl.gov: NCT01929798) integrated into the Diabetes Assistant (DiAs) system. The system will be evaluated on 2-3 subjects per site (n=6-9 subjects) for 2 weeks at 3 different sites (William Sansum Diabetes Center, University of Virginia, and Mayo Clinic, Rochester, MN). Basal rates will be adjusted in a run-to-run manner by study physicians prior to the closed-loop phase for a maximum of 3 weeks. Subjects will then complete 2 weeks at home use of the Zone-MPC/HMS system using the DIAs platform for a closed-loop feasibility trial. The purpose of this pilot study is to establish that safe day-and-night use of the Zone-MPC/HMS system integrated into the DiAs is achievable in the home environment, to analyze and learn to improve upon the run-to- run optimization process, and to collect efficacy data to inform a future larger study.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Sensor-Augmented Pump Open-Loop Care (Week 1) | Active Comparator | The subjects Sensor-Augmented Pump Open-Loop Care for the first week of the study before any adjustments to pump settings. |
|
| Closed-Loop Control System with Zone MPC and HMS | Experimental | The artificial pancreas system will be allowed to employ its Model Predictive Control algorithm to make decisions about insulin delivery based on measured glucose levels. The Health Monitoring System algorithm uses the same CGM data as the MPC control algorithm but utilizes a separate algorithm for trending and predictions of future glucose values. Using a redundant and independent algorithm is an important safety feature of the overall AP device. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| CGM and Insulin Pump | Device | Dexcom G4 Platinum CGM with Share AP Receiver Roche Accu-Chek insulin pump |
|
| Measure | Description | Time Frame |
|---|---|---|
| Safety and efficacy of the system, as assessed by the composite outcome of time in range for glucose levels of 70-180 mg/dL and time < 70 mg/dL. | The primary endpoint for this pilot study will be to determine the safety and efficacy of the system, as assessed by the composite outcome of time in range for glucose levels of 70-180 mg/dL and time < 70 mg/dL, comparing between sensor-augmented pump use (open loop care) (week 1) to closed-loop care (final week), so as to determine the feasibility of eventual long-term use of the system. | 1 Week |
| Measure | Description | Time Frame |
|---|---|---|
| Time in range for glucose 80-140 mg/dL | Time in range for glucose 80-140 mg/dL at all times unless described otherwise. | 1 Week |
| Time in range for glucose during the nocturnal period | Time in range for glucose 70-180 mg/dL during the nocturnal period. |
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Inclusion Criteria:
Exclusion Criteria:
Admission for diabetic ketoacidosis in the 12 months prior to enrollment
Severe hypoglycemia resulting in seizure or loss of consciousness in the 12 months prior to enrollment
History of a seizure disorder (except hypoglycemic seizure), unless written clearance is received from a neurologist
Coronary artery disease or heart failure, unless written clearance is received from a cardiologist
History of cardiac arrhythmia (except for benign premature atrial contractions and benign premature ventricular contractions which are permitted)
Cystic fibrosis
A known medical condition that in the judgment of the investigator might interfere with the completion of the protocol such as the following examples:
A recent injury to body or limb, muscular disorder, use of any medication, any carcinogenic disease, or other significant medical disorder if that injury, medication or disease in the judgment of the investigator will affect the completion of the protocol
Current use of the following drugs and supplements:
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| Name | Affiliation | Role |
|---|---|---|
| Francis J Doyle III, PhD | University of California, Santa Barbara/William Sansum Diabetes Center | Principal Investigator |
| Eyal Dassau, PhD | University of California, Santa Barbara/William Sansum Diabetes Center | Principal Investigator |
| Jordan E Pinsker, MD | Sansum Diabetes Research Institute | Principal Investigator |
| Ananda Basu, MD | Mayo Clinic, Rochester, MN | Principal Investigator |
| Yogish Kudva, MD | Mayo Clinic, Rochester, MN | Principal Investigator |
| Boris Kovatchev, PhD | University of Virginia | Principal Investigator |
| Sue Brown, MD | University of Virginia | Principal Investigator |
| Stephen Patek, PhD | University of Virginia | Principal Investigator |
| Claudio Cobelli, PhD | University of Padova | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| William Sansum Diabetes Center | Santa Barbara | California | 93111 | United States | ||
| Mayo Clinic |
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| ID | Term |
|---|---|
| D003922 | Diabetes Mellitus, Type 1 |
| D001327 | Autoimmune Diseases |
| D003920 | Diabetes Mellitus |
| D004700 | Endocrine System Diseases |
| D044882 | Glucose Metabolism Disorders |
| D007154 | Immune System Diseases |
| D008659 | Metabolic Diseases |
| ID | Term |
|---|---|
| D009750 | Nutritional and Metabolic Diseases |
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| ID | Term |
|---|---|
| D000095583 | Continuous Glucose Monitoring |
| ID | Term |
|---|---|
| D001774 | Blood Chemical Analysis |
| D019963 | Clinical Chemistry Tests |
| D019411 | Clinical Laboratory Techniques |
| D019937 | Diagnostic Techniques and Procedures |
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| OTHER |
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| Closed-Loop Control System | Device | The devices that will be used in the Closed-Loop Control System include the following components: DiAs - a smart-phone medical platform; Dexcom Dexcom G4 Platinum connected to DiAs via Bluetooth CGM receiver; Roche Accu-Chek insulin pump connected to DiAs via wireless Bluetooth; Remote Monitoring Server connected to DiAs via 3G or local Wi-Fi network, and Zone-MPC and HMS algorithms running on DiAs (MPC and HMS) |
|
| 1 week |
| Time in Range Postprandial | Time in range for glucose 70-180 mg/dL postprandial, for 5 hours following all meals | 1 Week |
| Markers of hypo- and hyperglycemia | Markers of hypo- and hyperglycemia. | 1 Week |
| Insulin Doses Given | Change in insulin doses given between the open and closed-loop phases of the study. | 1 Week |
| Treatments for hypoglycemia | Treatments for hypoglycemia between the open and closed-loop phases of the study. | 1 week |
| Number of alerts given by the HMS to prevent hypoglycemia | Number of alerts given by the HMS to prevent hypoglycemia during closed-Loop control. | 2 Weeks |
| Outside interventions needed | Outside interventions needed to aid with treatment during closed-Loop control. | 2 Weeks |
| Failure analysis of the devices/connectivity issues that may occur. | Failure analysis of the devices/connectivity issues that may occur during closed-Loop control. | 2 Weeks |
| Rochester |
| Minnesota |
| 55905 |
| United States |
| University of Virginia | Charlottesville | Virginia | 22903 | United States |
| D003933 | Diagnosis |
| D003940 | Diagnostic Techniques, Endocrine |
| D008991 | Monitoring, Physiologic |
| D008919 | Investigative Techniques |