Feasibility Evaluation of an Artificial Pancreas With Glucose Prediction Trust Index



Status:Completed
Conditions:Diabetes, Diabetes
Therapuetic Areas:Endocrinology
Healthy:No
Age Range:18 - 75
Updated:7/14/2018
Start Date:March 20, 2017
End Date:December 20, 2017

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Feasibility Evaluation of an Artificial Pancreas With an Enhanced Model Predictive Control (eMPC) Controller and a Health Monitoring System (HMS) With a Glucose Prediction Trust Index

The purpose of this pilot study is to establish that closed-loop insulin delivery with a
target enchanted model predictive control (eMPC)/Health Monitoring System (HMS) algorithms
with a trust index of the predicted glucose value is safe and effective, to analyze and learn
to improve upon the accuracy of the predicted glucose values, and to collect efficacy data to
inform a future larger study.

This is a feasibility study of an artificial pancreas (AP) system with our previously
validated target eMPC and HMS algorithms, with the addition of a trust index of the predicted
glucose value integrated into the portable Artificial Pancreas System (pAPS). The system will
be evaluated on up to 20 subjects, with the goal of 10 subjects completing a 48-hour
closed-loop session at one clinical site (William Sansum Diabetes Center). During the session
subjects will bolus for all meals and snacks and perform a 45-minute walking session.

The purpose of this pilot study is to establish that closed-loop insulin delivery with a
target enchanted model predictive control (eMPC)/Health Monitoring System (HMS) algorithms
with a trust index of the predicted glucose value is safe and effective, to analyze and learn
to improve upon the accuracy of the predicted glucose values, and to collect efficacy data to
inform a future larger study.

Inclusion Criteria:

- Age ≥ 18 and ≤ 75 years at the time of screening.

- Clinical diagnosis of type 1 diabetes for at least one year.

- Has been using an insulin pump for at least 6 months at the time of screening.

- HbA1c < 10%, as performed by point of care or central laboratory testing. A1c will be
assessed at the screening visit, or if already completed within 2 months of the
screening visit, the prior lab value may be used in lieu of repeating this assessment.

- Serum creatinine of < 2.0 mg/dL. Serum creatinine will be assessed at the screening
visit, or if already completed within 2 months of the screening visit, the prior lab
value may be used in lieu of repeating this assessment.

- Bolus for all meals and snacks that contain ≥ 5 grams of carbohydrate.

- Willing to perform at least 7 fingerstick blood glucose tests a day.

- Willing to refrain from taking acetaminophen products for the duration of the clinical
trial. If acetaminophen is taken, subject is to avoid making any insulin dosing
decisions based on CGM for at least 12 hours.

- Willing to abide by the study protocol and use study-provided devices, including the
Omnipod, Dexcom CGM, glucometer, ketone meter and pAPS tablet.

Exclusion Criteria:

- Pregnancy

- One or more episodes of hypoglycemia requiring an emergency room visit or
hospitalization in the past 6 months.

- One or more episodes of hyperglycemia requiring an emergency room visit or
hospitalization in the past 6 months.

- Known unstable cardiac disease or untreated cardiac disease, as revealed by history or
physical examination.

- Dermatological conditions that would preclude wearing a CGM sensor or Pod.

- One or more seizures in the past year.

- Screening A1c ≥ 10% or serum creatinine ≥ 2.0 mg/dL.

- Any condition that could interfere with participating in the trial, based on
investigator judgment.

- Concurrent use of any non-insulin glucose-lowering agent (including GLP-1 agonists,
Symlin, DPP-4 inhibitors, SGLT-2 inhibitors, biguanides, sulfonylureas and
naturaceuticals), defined as using any of these medications within 30 days of the
screening visit or during the study.

- Participation in another pharmaceutical or device trial at the time of enrollment or
during the study.
We found this trial at
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Santa Barbara, California 93105
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Santa Barbara, CA
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