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| Name | Class |
|---|---|
| University of California, Santa Barbara | OTHER |
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This clinical trial is a feasibility study to assess the performance of an Artificial Pancreas (AP) device using the Artificial Pancreas System (APS©) platform for subjects with type 1 diabetes. The device is a closed-loop between a DexCom™ SEVEN® PLUS (DexCom™ Corp, San Diego, CA) continuous glucose monitor (CGM) and a OneTouch® Ping® Glucose Monitoring System (Animas Corp, Westchester, PA) subcutaneous insulin delivery pump (CSII). The AP device is controlled by a zone-Model Predictive Control (zone-MPC) algorithm augmented by a safety algorithm named the Health Monitoring System (HMS). The clinical study will include 12 to 20 adults subjects aged 21 to 65 years old.
The study consists of an evaluation of the Artificial Pancreas device during a 24-hour closed-loop in a clinic environment (Sansum Diabetes Research Institute, Santa Barbara, CA). The 24-hour period includes:
The proposed study will evaluate the performance of the AP device in predicting the fall and rise of glucose values and in regulating insulin delivery to mitigate extreme blood glucose variations during the following challenges:
The goal is to demonstrate that the AP device is able to maintain the subject blood glucose within a safe range at all times. One of the objectives of the study will be to measure the percent of time spent in the following zones:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Closed-loop session | Experimental | The study consists of an evaluation of the Sansum Closed-loop Artificial Pancreas Device, insulin infusion pump, Continuous Glucose Monitor, zone-Model Predictive Control algorithm, and a Safety Health Monitoring System. during a 24-hour closed-loop in a clinic environment (Sansum Diabetes Research Institute, Santa Barbara, CA). |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Sansum Closed-Loop Artificial Pancreas | Device | The Sansum Closed-loop Artificial Pancreas Device is the infrastructure that allows communication between the insulin pump, the CGM, the zone-MPC, and the HMS. |
| Measure | Description | Time Frame |
|---|---|---|
| % of time within zone [80-140] mg/dL except 5 hours post-prandial and during exercise and 3 hours post-exercise | Measures ability of AP device to maintain glucose level within a safe zone and to return to save zone following unannounced meals and exercises. | 24 hours |
| Measure | Description | Time Frame |
|---|---|---|
| % of time within zone [80-140] mg/dL during night between 12:00 am and 7:00 am | Measures ability of AP device to maintain glucose level with a safe zone during the night and prevent hypoglycemia | 24 hours |
| % of time within zone [70-180] mg/dL 5 hours after unannounced evening meal, and breakfast |
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Inclusion Criteria:
Exclusion Criteria:
Pregnancy (as determined by a positive blood pregnancy test performed in females of childbearing capacity during screening visit and urine test at time of admission for in-patient visit) or nursing mother.
Diabetic ketoacidosis in the past 6 months prior to enrollment requiring emergency room visit or hospitalization
Severe hypoglycemia resulting in seizure or loss of consciousness in the 12 months prior to enrollment
Current treatment for a seizure disorder; Subjects with a history of seizures may be included in the study if they receive written clearance from their neurologist
Cystic fibrosis
Active infection
A known medical condition that in the judgment of the investigator might interfere with the completion of the protocol such as cognitive deficit.
Mental incapacity, unwillingness or language barriers precluding adequate understanding or co-operation, including subjects not able to read or write.
Inpatient psychiatric treatment in the past 6 months for either the subject or the subject's primary care giver (i.e., parent or guardian)
Coronary artery disease or heart failure. Subjects with a history of coronary artery disease may be included in the study if they receive written clearance from their cardiologist
Presence of a known adrenal disorder
Active coronary artery disease or heart failure
Active gastroparesis
If on antihypertensive, thyroid, anti-depressant or lipid lowering medication, lack of stability on the medication for the past 2 months prior to enrollment in the study
Uncontrolled thyroid disease. Adequately treated thyroid disease and celiac disease do not exclude subjects from enrollment
Abuse of alcohol
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 exercise protocol
Current use of a beta blocker medication
Laboratory results:
Subject has skin conditions that, in the determination of the investigator, would preclude wearing the study devices (infusion set and sensor), in the abdomen. Examples include but are not limited to: psoriasis, burns, scaring, eczema, tattoos, and significant hypertrophy at sites of device wear; any known allergy to medical adhesives.
Current participation in another investigational trial or has previously participated to this study.
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| Name | Affiliation | Role |
|---|---|---|
| Howard Zisser, MD | Sansum Diabetes Research Institute | Principal Investigator |
| Francis J Doyle, PhD | University of California, Santa Barbara | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Sansum Diabetes Research Institute | Santa Barbara | California | 93105 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 24471561 | Derived | Harvey RA, Dassau E, Bevier WC, Seborg DE, Jovanovic L, Doyle FJ 3rd, Zisser HC. Clinical evaluation of an automated artificial pancreas using zone-model predictive control and health monitoring system. Diabetes Technol Ther. 2014 Jun;16(6):348-57. doi: 10.1089/dia.2013.0231. Epub 2014 Jan 28. |
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| Insulin infusion pump | Device | The insulin pump, which has received 510k clearance (K080639), delivers insulin subcutaneously through an infusion set. |
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| Continuous Glucose Monitor | Device | The CGM, which is an approved device (P050012), measures interstitial glucose. |
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| zone-Model Predictive Control algorithm | Device | The zone-MPC predicts future glucose values, based on CGM data, to regulate blood glucose level by increasing, decreasing, or stopping insulin infusion via an insulin infusion pump. |
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| Safety Health Monitoring System | Device | The HMS predicts future glucose values, based on CGM data, to warn the Sansum Closed-loop Artificial Pancreas Device of values below 70 mg/dL. |
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Measures ability of AP device to react to small meal and to prevent glucose level from dangerous excursions. |
| 24 hours |
| % of time within zone [70-150] mg/dL during the 30 min exercise | Measures ability of AP device to maintain safe glucose level during 30 minutes of non-strenuous exercise | 24 hours |
| % of time within zone [70-150] mg/dL during the 3 hours following exercise | Measures ability of AP device to address exercise and to prevent glucose level from dangerous excursions | 24 hours |
| ID | Term |
|---|---|
| D003922 | Diabetes Mellitus, Type 1 |
| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D004700 | Endocrine System Diseases |
| D001327 | Autoimmune Diseases |
| D007154 | Immune System Diseases |
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| ID | Term |
|---|---|
| D007332 | Insulin Infusion Systems |
| ID | Term |
|---|---|
| D016503 | Drug Delivery Systems |
| D004358 | Drug Therapy |
| D013812 | Therapeutics |
| D007260 | Infusion Pumps |
| D004864 | Equipment and Supplies |
| D001187 | Artificial Organs |
| D013523 | Surgical Equipment |
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