Type 1 Diabetes
Conditions
Keywords
artificial pancreas
Brief summary
This is a randomized crossover study testing the efficacy of the Fault Detection algorithms using the Zone MPC algorithm and DiAs artificial pancreas platform in adult patients with type 1 diabetes. The trial will last for 6 weeks for each individual subject, with three weeks using the AP algorithm and three weeks using sensor augmented pump in a randomized order
Detailed description
Investigational Device: Artificial Pancreas System with Fault Detection Algorithms: Roche Accu-Check Spirit Combo Insulin Pump, Dexcom G4P System with Share, Diabetes Assistant (DiAs) on Android phone, DiAs Web Monitoring (DWM) \- referred to as Remote Monitoring Server, MPC control algorithm, Health Monitoring System (HMS) algorithm. Sensor and infusion set fault detection algorithms will be applied offline with data obtained from server and notifications will be sent to the clinician. Control Arm: Sensor-augmented insulin pump therapy: Subject will use their personal insulin pump and Dexcom G4P System with Share. Primary Objective: To determine the efficacy of the fault detection algorithm. The primary outcome is based on the amount of time the sensor glucose is \>250 mg/dL in the 4 hours preceding detection of the infusion set failure during sensor augmented pump therapy vs. closed-loop control with fault detection alerts. Secondary Objectives: To determine the effectiveness of the sensor fault detection algorithm. To determine the efficacy of the Zone MPC controller by evaluating glycemic outcomes Number of Subjects: There will be 20 subjects recruited: 10 at Stanford and 10 at Denver (up to 36 subjects will be enrolled to reach 20 subjects completing the study) Diagnosis and Main Inclusion Criteria: Adult subjects between 18 and 55 years of age inclusive, diagnosed with type 1 diabetes. Trial Design: This outpatient study will be conducted over 6 weeks as shown in the figure below. The 6-week period will consist of two 2-week blocks of prolonged infusion set wear with a 1-week sensor run-in period preceding each block. In each block, subjects will wear an infusion set for up to 7 days. A new infusion set will be inserted at the start of each week in the block. Following enrollment procedures, subjects will be randomized at a ratio of 1:1 to either use the AP system with fault detection algorithms (intervention) or sensor-augmented pump therapy (control) in the first block.
Interventions
DEVICEArtificial pancreas system (Algorithm + CGM + pump)
The AP system using fault detection algorithms will determine whether insulin infusion problems are occurring and may prevent severe hyperglycemia due to its predictive nature
Sponsors
Stanford University
University of Colorado, Denver
Harvard University
University of California, San Diego
University of California, Santa Barbara
Rensselaer Polytechnic Institute
Study design
Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
TREATMENT
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to 55 Years
Healthy volunteers
No
Inclusion criteria
1. Clinical diagnosis of type 1 diabetes for at least 12 months 2. Daily insulin therapy for at least 12 months 3. Age between 18.0 to 55.0 years of age 4. Use of an insulin pump for at least 3 months 5. Subject comprehends English 6. Females of childbearing potential must use an adequate method of contraception and have a negative pregnancy test 7. Total daily insulin requirement ≥ 0.3 units/kg/day 8. Subject has an adult companion, age \> 18 years, who lives with the subject, has access to where they sleep, is willing to be in the house when the subject is sleeping and willing to attend to the subject if there are safety concerns -
Exclusion criteria
1. Diabetic ketoacidosis in the past 6 months 2. Hypoglycemic seizure or loss of consciousness in the past 6 months 3. Subjects requiring an intermediate or long-acting insulin (such as NPH, detemir or glargine) 4. Subjects using other anti-diabetic medications other than insulin (oral or injectable) at the time of enrollment. Any prior use of other anti-diabetic medications must be washed out for at least 8 weeks prior to enrollment. 5. Current use of other medications, which in the judgment of the investigator would be a contraindication to participation in the study 6. Subject has a medical disorder that in the judgment of the investigator will affect completion of any aspect of the protocol 7. Subject is currently participating in another investigational device or drug study within 30 days or 5-half-lives of the drug. 8. Subject has a history of any cardiac or vascular disorder including, but not limited to, myocardial infarction, unstable angina, coronary artery bypass surgery, coronary artery stenting, transient ischemic attack, cerebrovascular accident, angina, congestive heart failure, arrhythmia or thromboembolic disease 9. Subject has a history of hepatic disease 10. Subject has renal failure on dialysis 11. Systolic blood pressure \> 160 mmHg on screening visit 12. Diastolic blood pressure \> 90 mmHg on screening visit 13. Subjects with inadequately treated thyroid disease or celiac disease 14. Subject has a neurologic disorder that in the judgment of the investigator will affect completion of the protocol 15. Subject has received inpatient psychiatric treatment in the past 6 months 16. Subject consumes more than an average of 4 standard alcoholic drinks/day in the last 30 days 17. Subject has an active skin condition that would affect sensor placement 18. Subject is unable to avoid acetaminophen for the duration of the study 19. Current use of oral/inhaled glucocorticoids or other medications, which in the judgment of the investigator would be a contraindication to participation in the study 20. Subject is currently on beta blocker medication -
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Amount of time sensor glucose levels are >250 mg/dl | 4 hours after insulin infusion set failure | Amount of time sensor glucose levels are \>250 mg/dl in the control arm versus the experimental arm |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Effectiveness of sensor fault detection algorithm as defined by % of sensor failures caught by the system | During 2 week intervention period | Effectiveness of sensor fault detection algorithm as defined by % of sensor failures caught by the system |
| Mean sensor glucose values | 2 week intervention period versus 2 week control period | mean sensor glucose values |
| Percent of time in range between 70-180 mg/dl | 2 week intervention period versus 2 week control period | Percent of time in range between 70-180 mg/dl |
Contacts
Primary ContactDavid Maahs, MD, PhD
Backup ContactLaurel Messer
Outcome results
None listed