Massachusetts General Hospital
Boston, Massachusetts, 02114, United States
NCT Number: NCT00811317
We hypothesize that our integrated closed-loop glucose-control system can provide effective, tight, and safe blood glucose (BG) control in type 1 diabetes, thereby establishing the feasibility of closed-loop BG control.
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Notify Me18 year and older
All sexes
Interventional
Not applicable
Boston, Massachusetts, 02114, United States
This study investigates the utility of an integrated closed-loop glucose-control system for regulating BG in type 1 diabetic subjects. The closed-loop system utilizes sub-cutaneous infusion or insulin and glucagon under the control of a computer algorithm. The only inputs to the algorithm are the subject weight and BG values measured every five minutes. Subjects will undergo up to three 27 hour GCRC admissions during which they will consume three standardized meals. Subject may participate in up to two closed-loop visits (with different insulin lispro pharmacokinetic parameter settings in the control algorithm) and some subjects will participate in open-loop visits. During the closed-loop admission BG will be controlled by the closed-loop system. During the open-loop visit subjects will regulate their own BG in the usual function using their insulin pumps. A small group of non-diabetic subjects will undergo a single 27 hour GCRC admission during which they will eat the same standardized meals. During all admission BG will be measured every 5 minutes and blood will be collected for measurement of insulin and glucagon levels every 10 minutes. During the closed-loop admission of diabetic subjects and the single admission of non-diabetic subjects, three commercially available continuous glucose monitoring devices will be worn. The data from these devices will later be compared to reference BG data.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
(type 1 diabetic subjects):
Inclusion criteria
(non-diabetic subjects):
Exclusion criteria
(all subjects):
Computer algorithm developed by Firas El-Khatib and Edward Damiano at Boston University that controls sub-cutaneous infusion of insulin and glucagon to regulate blood glucose to target
Time frame: 24 hours
Time frame: 24 hours
Time frame: After each of 3 meals
Time frame: After each of 3 meals
Time frame: 24 hours
Time frame: 24 hours
Time frame: 24 hours
This outcome captures the number of hypoglycemic events that occurred throughout the entire study
Time frame: 24 hours
Time frame: 24 hours
Time frame: 24 hours
Time frame: 24 hours
Time to maximum peak glucagon concentration
Time frame: 24 hours
Time frame: 24 hours
Time frame: 24 hours
Time frame: 24 hours
Time frame: 24 hours
Time frame: 24 hours
Time frame: 24 hours
Measuring the mean absolute relative difference (MARD) between the blood glucose measurement and CGM glucose readings, on three different CGM devices: Dexcom, Guardian and Navigator
Time frame: 24 hours
Time frame: 24 hours
Time frame: 24 hours
Mean absolute relative difference (MARD) of CGM and BG glucose readings in hypoglycemia (< 70 mg/dl) and hyperglycemia (>180 mg/dl) in three different CGM devices: Dexcom, Navigator and Guardian
Time frame: 24 hours
The algorithm in the Bionic Pancreas must have a pre-specified target glucose it is trying to achieve in order to make dosing decisions. Using data from this study, investigators planned to determine what an appropriate glucose target should be for future studies.
Time frame: 24 hours
Boston University Charles River Campus
Other
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