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| Name | Class |
|---|---|
| University Hospital, Montpellier | OTHER |
| University of Padova | OTHER |
| University of California, Santa Barbara | OTHER |
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A single arm, single treatment study is proposed to assess the feasibility of a portable artificial pancreas system outside of a hospital based clinical research center.
Adult T1DM patients will use a newly developed platform in conjunction with a subcutaneous insulin infusion pump and a continuous glucose monitor for 18 hours is quasi free conditions (hotel).
Automated closed-loop control (CLC), known as "artificial pancreas" (AP) can have tremendous impact on the health and lives of people with type 1 diabetes (T1D). Our inter-institutional and international research team has been on the forefront of CLC developments since the beginning of the JDRF Artificial Pancreas initiative in 2006. Thus far, we have conducted three closed-loop control clinical trials (totaling 60 subjects with T1D), which demonstrated significantly more time in an acceptable "target" blood glucose range during CLC, and significantly fewer hypoglycemic events during CLC compared to open loop. Our overall objective is to sequentially test, validate, obtain regulatory approval for, and deploy at home, a closed-loop Control-to-Range (CTR) system comprised of two algorithmic components: a Safety Supervision Module (SSM) and an automated Range Correction Module (RCM). The SSM will monitor the safety of the subject's continuous subcutaneous insulin infusion pump (CSII) to prevent hypoglycemia, and will also monitor the integrity of continuous glucose monitor (CGM) data for signal sensor deviations or loss of sensitivity. The RCM will be responsible for the optimal regulation of postprandial hyperglycemic excursions through correction boluses.
The first phase to address our overall objective is a pilot study that will test the ability of a cell-phone-based system to (1) run CTR in an outpatient setting, and (2) be remotely monitored. Specifically, this pilot study entails a hybrid hotel/hospital design targeting adults with T1D that are experienced insulin pump users. Subjects will spend one night in a local hotel, during which the phone-based system will be remotely monitored in an adjacent hotel room for validation that remote system monitoring can successfully occur. Subjects will spend the following day in the hospital, where CTR will be activated, and challenged with meals and a CGM sensor replacement . Subjects will then spend a second night in the hotel for continued evaluation of remote system monitoring, along with outpatient testing of the CTR system run on the phone-based system. This series of admissions will address the first major hurdles that need to be overcome for home deployment of a closed loop CTR system:
Specific Aim 1: The phone-based CTR system can be remotely monitored by nurses/physicians/technicians to confirm appropriate functioning outside of the hospital setting.
Specific Aim 2: The CTR can be deployed outside of the hospital setting.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| portable artificial pancreas system with CTR algorithms | Experimental | This is the only arm of the study and concerns all patients. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| portable artificial pancreas system with CTR algorithms | Device | The investigators will test the new portable CTR system in CRC conditions for 10h followed by 18h of CTR in a hotel. |
| Measure | Description | Time Frame |
|---|---|---|
| estimation of the failure rates of system components | the investigators will estimate the frequency of failures (#failures/day) of each following system components: CGM communication, pump communication, insulin dose computation, user interface. | length of admission (hour 42) |
| Measure | Description | Time Frame |
|---|---|---|
| frequency analysis of lost or inaccurate CGM records | number of CGM data point not received by the device divided by the total number of possible data points to be received. | length of admission (42 hours) |
| percent time of active CTR |
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Inclusion Criteria:
Patient must be aged between 21 (inclusive) and 65 years old. The age of 21 has been chosen because this trial is supported by a US Foundation.
Patient must have been clinically diagnosed with Type 1 diabetes mellitus. 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):
Criteria for requiring insulin at diagnosis (1 must be met):
Use of an insulin pump to treat his/her diabetes for at least 1 year
Actively using a carbohydrate [CHO] / insulin ratio for insulin bolus adjustments in order to keep blood glucose in a predefined range
Patient HbA1c is between 6.0% and 9% as measured with DCA2000 or equivalent device
Patient must demonstrate proper mental status and cognition for the study
Patient must be willing to avoid consumption of acetaminophen-containing products during the study interventions involving DexCom use
Patient must be affiliated or beneficiary of a social medical insurance
Patient has signed informed consent form prior to study entry
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Claudio Cobelli, Ph.D. | University of Padova | Principal Investigator |
| Boris Kovatchev, Ph.D. | University of Virginia | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Padova | Padova | Italy |
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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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number of minutes the Control-To-Range system was functioning properly (computation of insulin infusion, and insulin actually delivered) divided by the maximum number of minutes the CTR system should have been active (as per protocol)
| length of admission (42h) |
| D004700 | Endocrine System Diseases |
| D001327 | Autoimmune Diseases |
| D007154 | Immune System Diseases |