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| Name | Class |
|---|---|
| Harvard University | OTHER |
| University of California, Santa Barbara | OTHER |
| Mayo Clinic | OTHER |
| University of Virginia |
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This clinical trial is a study to assess the performance of an automated glucose control system (Artificial Pancreas, AP) device in home settings for subjects with type 1 diabetes. Specifically, the investigators will test zone model predictive control AP that will be enhanced by run-to-run optimizations of basal rates (BR) and insulin to carbohydrate ratios (CR).
This clinical trial is a study to assess the performance of an automated glucose control system (Artificial Pancreas, AP) device in home settings for subjects with type 1 diabetes. Specifically, the investigators will test zone model predictive control AP that will be enhanced by run-to-run optimizations of basal rates (BR) and insulin to carbohydrate ratios (CR). This protocol builds on the investigators previously validated Zone-MPC and Health Monitoring System (HMS) algorithms (ClinicalTrials.gov: NCT01929798) integrated into the Diabetes Assistant (DiAs) system (ClinicalTrials.gov: NCT02463682). The same AP system used in NCT02463682 will now be used with algorithmic adjustment of CR's prior to closed-loop initiation, and continued BR and CR algorithmic optimization during closed-loop use for a longer duration.
The system will be evaluated on up to 12 subjects per site (n=36 subjects) for 15 weeks at 3 different sites (William Sansum Diabetes Center, University of Virginia, and Mayo Clinic, Rochester, MN).
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Sensor-Augmented Pump Open-Loop Care (Week 2) | Active Comparator | The subjects' Sensor-Augmented Pump Open-Loop Care for the second week of the study before any adjustments to pump settings, using a CGM and Insulin Pump. |
|
| 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 CGM 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. Algorithmic adjustment of carbohydrate ratios prior to closed-loop initiation, and continued basal rate and carbohydrate ratio algorithmic optimization during closed-loop use will occur. |
|
| 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 |
|---|---|---|
| Change in Hemoglobin A1c (HbA1c) (%) from baseline (week 2) to end of week 15 (end of study), with A1c measured at weeks 7 and 11 as well for repeated measures. | The primary endpoint is change in HbA1c from baseline (end of week 2) to end of week 15 (end of study). HbA1c will be measured at weeks 7 and 11 as well following each adaptation period, so the overall design of the study includes 4 repeated measures and a baseline-end of study contrast. | 13 Weeks |
| Measure | Description | Time Frame |
|---|---|---|
| Time within the target range for glucose 70-180 mg/dl overall | Time within the target range for glucose 70-180 mg/dl overall, compared between sensor-augmented pump use (open loop care, week 2) and adapted closed-loop control (final week of each month) to determine the feasibility of long-term system use. | 1 week |
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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 | Harvard University | Principal Investigator |
| Eyal Dassau, PhD | Harvard University | 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 |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 29030383 | Derived | Dassau E, Pinsker JE, Kudva YC, Brown SA, Gondhalekar R, Dalla Man C, Patek S, Schiavon M, Dadlani V, Dasanayake I, Church MM, Carter RE, Bevier WC, Huyett LM, Hughes J, Anderson S, Lv D, Schertz E, Emory E, McCrady-Spitzer SK, Jean T, Bradley PK, Hinshaw L, Laguna Sanz AJ, Basu A, Kovatchev B, Cobelli C, Doyle FJ 3rd. Twelve-Week 24/7 Ambulatory Artificial Pancreas With Weekly Adaptation of Insulin Delivery Settings: Effect on Hemoglobin A1c and Hypoglycemia. Diabetes Care. 2017 Dec;40(12):1719-1726. doi: 10.2337/dc17-1188. Epub 2017 Oct 13. |
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| Type | Date | Date Unknown |
|---|---|---|
| Release | Oct 18, 2017 | |
| Reset | Nov 17, 2017 |
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| OTHER |
| University of Padova | 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 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) |
|
| Time within the tight target range for glucose 80-140 mg/dl overnight |
Time within the tight target range for glucose 80-140 mg/dl overnight, compared between sensor-augmented pump use (open loop care, week 2) and adapted closed-loop control (final week of each month) to determine the feasibility of long-term system use. |
| 1 week |
| Time within the target range for glucose 70-150 mg/dl postprandial within 5 hours following meals | Time within the target range for glucose 70-150 mg/dl postprandial within 5 hours following meals, compared between sensor-augmented pump use (open loop care, week 2) and adapted closed-loop control (final week of each month) to determine the feasibility of long-term system use. | 1 week |
| Markers of hypo- and hyperglycemia | Markers of hypo- and hyperglycemia, compared between sensor-augmented pump use (open loop care, week 2) and adapted closed-loop control (final week of each month) to determine the feasibility of long-term system use. These markers include LBGI (Low blood glucose index) and HBGI (High blood glucose index. | 1 week |
| Insulin Doses Given | Change in insulin doses given, compared between sensor-augmented pump use (open loop care, week 2) and adapted closed-loop control (final week of each month) to determine the feasibility of long-term system use. | 1 week |
| Treatments for hypoglycemia | Treatments for hypoglycemia between the open and closed-loop phases of the study, compared between sensor-augmented pump use (open loop care, week 2) and adapted closed-loop control (final week of each month) to determine the feasibility of long-term system use. | 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. | 12 weeks |
| Outside interventions needed. | Outside interventions needed to aid with treatment during closed-Loop control. | 12 weeks |
| Failure analysis of the devices/connectivity issues that may occur (# disconnects and device restarts). | Failure analysis of the devices/connectivity issues that may occur during closed-Loop control. This includes number of CGM communication losses with 3 or more missed points, and number of times the entire system required a restart | 12 weeks |
| Time with glucose ≤ 70 mg/dL, overall | Time with glucose ≤ 70 mg/dL, compared between sensor-augmented pump use (open loop care, week 2) and adapted closed-loop control (final week of each month) to determine the feasibility of long-term system use. | 1 week |
| Rochester |
| Minnesota |
| 55905 |
| United States |
| University of Virginia | Charlottesville | Virginia | 22903 | United States |
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| Release Date | Unrelease Date | Unrelease Date Unknown | Reset Date | MCP Release Number |
|---|---|---|---|---|
| Oct 18, 2017 | Nov 17, 2017 |
| ID | Term |
|---|---|
| D003922 | Diabetes Mellitus, Type 1 |
| D001327 | Autoimmune Diseases |
| D003920 | Diabetes Mellitus |
| D006943 | Hyperglycemia |
| D007003 | Hypoglycemia |
| ID | Term |
|---|---|
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D004700 | Endocrine System Diseases |
| D007154 | Immune System 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 |
| D003933 | Diagnosis |
| D003940 | Diagnostic Techniques, Endocrine |
| D008991 | Monitoring, Physiologic |
| D008919 | Investigative Techniques |
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