William Sansum Diabetes Center
Santa Barbara, California, 93105, United States
NCT Number: NCT03092310
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.
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Notify Me18 year–75 year
All sexes
Interventional
Not applicable
Santa Barbara, California, 93105, United States
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.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Artificial Pancreas Device
Time frame: 48 hours
The primary endpoint for this pilot study will be time within the target glucose range of 70-180 mg/dl overall as assessed by continuous glucose monitoring (CGM), during closed-loop use, determining if the combination of eMPC and the assessment of trust index can provide safe and effective glucose control.
Time frame: 48 hours
During closed-loop use, assessment of the trust index predictions vs. standard eMPC glucose predictions (frequency of moving away from nominal weights of predicted glucose).
Time frame: 48 hours
Frequency of hypoglycemia during closed-loop use, defined as percent time glucose is below predefined thresholds of 70 mg/dl, 60 mg/dl and 50 mg/dL.
Time frame: 48 hours
Frequency of hyperglycemia during closed-loop use, defined as percent time glucose is above predefined thresholds of 180 mg/dl, 250 mg/dl, and 300 mg/dL.
Time frame: 48 hours
Percent time within the target glucose range of 70-140 mg/dl overall as assessed by continuous glucose monitoring (CGM), during closed-loop use.
Time frame: 48 hours
Percent time glucose is within range 70-150 mg/dl postprandial within 5 hours following meals, during closed-loop use.
Time frame: 48 hours
To measure glycemic variability, the standard deviation and coefficient of variation of glucose values (as measured by continuous glucose monitoring) will be determined during the 48 hours of closed-loop use.
Time frame: 48 hours
Markers of hypo- and hyperglycemia, to include LBGI (Low blood glucose index) and HBGI (High blood glucose index), during closed-loop use.
Time frame: 48 hours
Change in total daily doses and post prandial insulin doses given during the 48 hours of closed-loop use.
Time frame: 48 hours
Treatments for hypoglycemia given during the 48 hours of closed-loop use. Hypoglycemia treatments may be given in response to alerts from the HMS, if blood glucose < 70 mg/dL, or at the request of the subject or investigator.
Time frame: 48 hours
Number of alerts given by the HMS to prevent hypoglycemia during closed-loop use.
Time frame: 48 hours
Failure analysis of the devices/connectivity issues that may occur during closed-loop use. This includes number of CGM communication losses with 3 or more missed points, and number of times the entire system required a restart.
Sansum Diabetes Research Institute
Other
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
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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