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| Name | Class |
|---|---|
| Juvenile Diabetes Research Foundation | OTHER |
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The objectives of this outpatient research study are (1) to assess the ability of this automated system to be operated by a subject with limited professional oversight; (2) to assess whether the new devices (Dexcom Gen 4 sensors, Motorola ES400 smart phone, iDex pump controller) will reduce the frequency of hardware and data communication lapses seen in the previous system; and (3) to measure the degree of glucose control achievable with this automated system. The system will adjust blood glucose by administering insulin and glucagon. Insulin is a hormone that lowers blood glucose and will be given nearly continuously during this study. Glucagon raises blood glucose and will be automatically administered during hypoglycemia. Both are natural hormones made by people without diabetes. Each subject will have four devices placed on his abdomen: two Omnipod insulin pumps, one for delivering insulin and one for delivering glucagon, and two Dexcom G4 glucose sensors for measuring glucose. The two sensors will feed glucose data into Motorola smart phone master controller, which will calculate the correct amount of insulin or glucagon to deliver. The system will then send the command to the correct Omnipod through the iDex pod controller.
In this new system, the research subject will be able to monitor the progress of the study by use of the smart phone graphical user interface. The subject will have a companion with him/her during the entire study for safety purposes. Both the subject and companion will complete a training course on how to treat diabetic emergencies and how to operate the system. A study physician and technician will be in the hotel during each study and will be monitoring the study via a cloud-based data communication system. These studies will be carried out in a hotel setting.
The objective of the current human study is to verify the components of the Artificial Pancreas Control Software during an outpatient study. This master controller software is designed to be used in conjunction with two subcutaneous continuous glucose monitoring systems to regulate blood glucose levels as well as two Omnipod pumps, one for administering insulin and one for administering glucagon. The sensors communicate wirelessly with two sensor receivers which will be interfaced with the APC by wireless USB connection. The insulin and glucagon pumps will be controlled by the APC through a wireless USB connection. The algorithm included in the APC is an automated version of the Adaptive Proportional Derivative (APD) insulin and glucagon control algorithm, which was previously studied as an investigational device. The Automated APD has been studied in vivo (in 13 experiments, each 28 hr in length, with automated adjustment of pumps) and no serious adverse effects were noted. The APC will be tested in vivo during 28 hour experiments in an outpatient setting in preparation for home testing.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Artificial Pancreas Control Software | Experimental | Type 1 Diabetes Mellitus subjects who fit the inclusion/exclusion criteria will undergo artificial pancreas closed-loop study for 28 hours. For the entire study, the adaptive component of Artificial Pancreas Control Software will be used to control the subject's blood glucose. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Artificial Pancreas Control Software | Device | This master controller software is used in conjunction with two subcutaneous continuous glucose monitoring systems and two Omnipod pumps, one for administering aspart insulin (NovoLog) and one for administering glucagon (GlucaGen), to control blood glucose levels. The insulin and glucagon infusion rates are determined by an outpatient automated version of the Adaptive Proportional Derivative (APD) insulin and glucagon control algorithm programmed into a smart phone. |
| Measure | Description | Time Frame |
|---|---|---|
| Verification of the Automation and Telemetry Components | This outcome will verify afferent signal transmittal from the Dexcom sensors to the algorithm and the efferent signal transmittal from the algorithm to the insulin and glucagon pumps. Outcome measure is the average number of sensor and/or pump telemetry failures per 28 hour study. | 28 hours |
| Measure | Description | Time Frame |
|---|---|---|
| Deviation From Target Blood Glucose | Assessment of how accurately the algorithm controls glycemia in the subjects will be carried out using the mean deviation from the target blood glucose (mg/dL). Deviation is measured as algorithm controlled glucose level minus target glucose level. | 28 hours |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| William K Ward, MD | Legacy Health | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Legacy Research Institute | Portland | Oregon | 97232 | United States |
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| ID | Title | Description |
|---|---|---|
| FG000 | Artificial Pancreas Control Software | Type 1 Diabetes Mellitus subjects who fit the inclusion/exclusion criteria will undergo artificial pancreas closed-loop study for 28 hours. For the entire study, the adaptive component of Artificial Pancreas Control Software will be used to control the subject's blood glucose. Artificial Pancreas Control Software: This master controller software is used in conjunction with two subcutaneous continuous glucose monitoring systems and two Omnipod pumps, one for administering aspart insulin (NovoLog) and one for administering glucagon (GlucaGen), to control blood glucose levels. The insulin and glucagon infusion rates are determined by an outpatient automated version of the Adaptive Proportional Derivative (APD) insulin and glucagon control algorithm programmed into a smart phone. |
| Title | Milestones | Reasons Not Completed | |||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
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| ID | Title | Description |
|---|---|---|
| BG000 | Artificial Pancreas Control Software | Type 1 Diabetes Mellitus subjects who fit the inclusion/exclusion criteria will undergo artificial pancreas closed-loop study for 28 hours. For the entire study, the adaptive component of Artificial Pancreas Control Software will be used to control the subject's blood glucose. Artificial Pancreas Control Software: This master controller software is used in conjunction with two subcutaneous continuous glucose monitoring systems and two Omnipod pumps, one for administering aspart insulin (NovoLog) and one for administering glucagon (GlucaGen), to control blood glucose levels. The insulin and glucagon infusion rates are determined by an outpatient automated version of the Adaptive Proportional Derivative (APD) insulin and glucagon control algorithm programmed into a smart phone. |
| Units | Counts |
|---|---|
| Participants |
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| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Categorical | Count of Participants |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Verification of the Automation and Telemetry Components | This outcome will verify afferent signal transmittal from the Dexcom sensors to the algorithm and the efferent signal transmittal from the algorithm to the insulin and glucagon pumps. Outcome measure is the average number of sensor and/or pump telemetry failures per 28 hour study. | Posted | Mean | Standard Deviation | failures | 28 hours |
|
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | Artificial Pancreas Control Software | Type 1 Diabetes Mellitus subjects who fit the inclusion/exclusion criteria will undergo artificial pancreas closed-loop study for 28 hours. For the entire study, the adaptive component of Artificial Pancreas Control Software will be used to control the subject's blood glucose. Artificial Pancreas Control Software: This master controller software is used in conjunction with two subcutaneous continuous glucose monitoring systems and two Omnipod pumps, one for administering aspart insulin (NovoLog) and one for administering glucagon (GlucaGen), to control blood glucose levels. The insulin and glucagon infusion rates are determined by an outpatient automated version of the Adaptive Proportional Derivative (APD) insulin and glucagon control algorithm programmed into a smart phone. |
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| Term | Organ System | Source Vocabulary | Assessment Type | Notes | Statistical Information |
|---|---|---|---|---|---|
| nausea | Gastrointestinal disorders | Non-systematic Assessment |
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| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Dr. Ken Ward | Legacy Health System | 971-570-2632 | kenward503@msn.com |
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| ID | Term |
|---|---|
| D003922 | Diabetes Mellitus, Type 1 |
| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
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| Participants |
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| Age, Continuous | Mean | Standard Deviation | years |
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| Sex: Female, Male | Count of Participants | Participants |
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| Region of Enrollment | Number | participants |
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| Secondary | Deviation From Target Blood Glucose | Assessment of how accurately the algorithm controls glycemia in the subjects will be carried out using the mean deviation from the target blood glucose (mg/dL). Deviation is measured as algorithm controlled glucose level minus target glucose level. | Posted | Mean | Standard Deviation | mg/dl | 28 hours |
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| 0 |
| 20 |
| 1 |
| 20 |
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| D004700 | Endocrine System Diseases |
| D001327 | Autoimmune Diseases |
| D007154 | Immune System Diseases |