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Closed-loop Glucose Control for Automated Management of Type 1 Diabetes

Closed-loop Glucose Control for Automated Management of Type 1 Diabetes

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT00811317
Enrollment
11
Registered
2008-12-18
Start date
2008-05-31
Completion date
2009-10-31
Last updated
2017-10-25

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Type 1 Diabetes

Keywords

diabetes, glucose, hyperglycemia, hypoglycemia, insulin, glucagon, counter-regulation, closed-loop, feedback, control, dual-infusion, subcutaneous, automated, artificial pancreas, intensive insulin therapy

Brief summary

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.

Detailed description

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.

Interventions

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

Sponsors

Massachusetts General Hospital
CollaboratorOTHER
Juvenile Diabetes Research Foundation
CollaboratorOTHER
Boston University Charles River Campus
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
TREATMENT
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

(type 1 diabetic subjects): * Age 18 years or older * Clinical type 1 diabetes for at least five years * Otherwise healthy (mild chronic disease allowed if well controlled) * Diabetes managed using an insulin infusion pump * Body mass index (BMI) between 20 and 31 * Total daily dose (TDD) of insulin ≤ 1 U/kg and ≤ 100 U/day * Post-prandial C-peptide \< 0.1 nmol/L at 90 minutes in a mixed meal (Sustacal) tolerance test by the DCCT method * Hemoglobin A1c less than or equal to 8.5% * Prescription medication regimen stable for at least 1 month Inclusion Criteria (non-diabetic subjects): * Age 18 years or older * No personal history of diabetes, impaired fasting glucose, or impaired glucose tolerance * No personal history of pancreatic disease * Not taking medication that may affect glucose, insulin, or glucagon dynamics * Otherwise healthy (mild chronic disease allowed if well controlled) * Body mass index (BMI) between 20 and 31 * Normal 75 g oral glucose tolerance test (fasting, 1 hour, and 2 hour measurements)

Exclusion criteria

(all subjects): * Unable to provide informed consent or are unable to comply with study procedures * Current participation in another clinical trial * Anemia (HCT or hemoglobin less than normal for sex) * Elevated alanine aminotransferase (ALT \> 3 fold above upper limit of normal) * Untreated or inadequately treated hyperthyroidism or hypothyroidism (abnormal TSH or free T4) * Pregnancy (positive urine HCG), breast feeding, plan to become pregnant in the immediate future, or sexually active without use of contraception * Progressive or proliferative diabetic retinopathy (subjects with mild, non-proliferative background retinopathy or stable disease previously treated with photocoagulation are not excluded). * Renal insufficiency (creatinine clearance estimated by Cockcroft-Gault equation of ≤ 50 ml/min) * Any known history or symptoms of coronary artery disease. * Abnormal EKG * Congestive heart failure * History of TIA or stroke within preceding 6 months * Acute illness or exacerbation of chronic illness at the time of the study procedure * Change in medication regimen in the 30 days prior to enrollment * History of seizures * History of pheochromocytoma * Abnormal plasma fractionated metanephrines * History of adrenal disease or tumor * History of pancreatic tumor, including insulinoma * History of impaired gastric motility or gastroparesis requiring pharmacological or surgical treatment * Current alcohol abuse (\> 3 drinks daily) or substance abuse (any use within the last 6 months of illegal drugs) * Severe mental illness (schizophrenia, bipolar disease, inadequately treated depression, or any psychiatric hospitalization in the last year) * Impaired cognition or altered mental status. * Hypertension (blood pressure \> 140/90) at the time of screening * Use of medications that reduce gastric motility * Electrically powered implants that might be susceptible to RF interference * Use non-insulin injectable anti-diabetic medications, inhaled insulin, or oral anti-diabetic medications * History of adverse reaction to glucagon (including allergy) besides nausea and vomiting. * Established history of latex, adhesive, tape allergy, inadequate venous access, history of allergy to or intolerance of aspirin.

Design outcomes

Primary

MeasureTime frame
Average Blood Glucose Over the Closed-loop Control Period24 hours

Secondary

MeasureTime frameDescription
Percentage of Time Spent Within 70-180 mg/dl24 hours
Peak Hyperglycemia Following Each MealAfter each of 3 meals
Percentage of Time Spent in Hyperglycemia (BG> 180 mg/dl) After MealsAfter each of 3 meals
Percentage of Peak Post-prandial Hyperglycemias < 180 mg/dl (ADA Target)24 hours
Percentage of Time Spent With BG < 70 mg/dl24 hours
Number of Hypoglycemic Events24 hoursThis outcome captures the number of hypoglycemic events that occurred throughout the entire study
Nadir Blood Glucose Level for Each Hypoglycemic Event24 hours
Percentage of Time Spent With BG > 180 mg/dl24 hours
Total Insulin Dose24 hours
Glucagon T-max24 hoursTime to maximum peak glucagon concentration
Average Glucose and Glycemic Variability During Closed Loop Control in Diabetic Subjects Compared to the Comparable 24 Hour Period in Non-diabetic Subjects24 hours
Blood Glucagon Levels24 hours
Average Glucose and Glycemic Variability (MAGE) During Closed Loop Control in Diabetic Subjects Compared to the Comparable 24-hour Period the Day Prior to Admission as Measured by Navigator CGM Data24 hours
Number of Carbohydrate Interventions24 hours
Number of Participants Achieving a Stable Glucose Response to Insulin Dosing24 hours
Number of Participants Achieving a Stable Glucose Response to Insulin Dosing Around Idle Times Prior to Meals24 hours
Accuracy of the Continuous Glucose Monitor (CGM) Using Blood Glucose Measurement as the Standard24 hoursMeasuring the mean absolute relative difference (MARD) between the blood glucose measurement and CGM glucose readings, on three different CGM devices: Dexcom, Guardian and Navigator
Insulin and Glucagon Levels During the Closed-loop Admission as Compared to the Comparable 24 Hour Period During the Open Loop Admission of Diabetic Subjects24 hours
Sensitivity for Hypo- and Hyperglycemia of the CGM Devices Using the BG Measurement as the Standard24 hoursMean 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
Set Point Using CGM Data as the Input to the Controller for Future Studies24 hoursThe 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.
Insulin and Glucagon Levels During Closed Loop and Open Loop Admissions of Diabetic Subjects Compared to the Comparable 24 Hour Period During the Admission of Non-diabetic Subject24 hours
Total Glucagon Dose24 hours

Countries

United States

Participant flow

Participants by arm

ArmCount
Closed-loop
Type 1 diabetic subjects under closed-loop blood glucose control Closed-loop: 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
11
Total11

Baseline characteristics

CharacteristicClosed-loop
Age, Continuous40 years
STANDARD_DEVIATION 16
Region of Enrollment
United States
11 participants
Sex: Female, Male
Female
4 Participants
Sex: Female, Male
Male
7 Participants

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
0 / 11
other
Total, other adverse events
0 / 11
serious
Total, serious adverse events
0 / 11

Outcome results

Primary

Average Blood Glucose Over the Closed-loop Control Period

Time frame: 24 hours

ArmMeasureValue (MEAN)Dispersion
Closed-loopAverage Blood Glucose Over the Closed-loop Control Period164 mg/dlStandard Deviation 17
Secondary

Accuracy of the Continuous Glucose Monitor (CGM) Using Blood Glucose Measurement as the Standard

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

ArmMeasureGroupValue (MEAN)Dispersion
Closed-loopAccuracy of the Continuous Glucose Monitor (CGM) Using Blood Glucose Measurement as the StandardNavigator CGM9.94 percent absolute differenceStandard Deviation 10.09
Closed-loopAccuracy of the Continuous Glucose Monitor (CGM) Using Blood Glucose Measurement as the StandardDexcom CGM22.55 percent absolute differenceStandard Deviation 20.75
Closed-loopAccuracy of the Continuous Glucose Monitor (CGM) Using Blood Glucose Measurement as the StandardGuardian CGM18.04 percent absolute differenceStandard Deviation 15.46
Secondary

Average Glucose and Glycemic Variability During Closed Loop Control in Diabetic Subjects Compared to the Comparable 24 Hour Period in Non-diabetic Subjects

Time frame: 24 hours

Population: This outcome was not analyzed. There were no experiments in non-diabetic subjects that we were able to make a comparison with

Secondary

Average Glucose and Glycemic Variability (MAGE) During Closed Loop Control in Diabetic Subjects Compared to the Comparable 24-hour Period the Day Prior to Admission as Measured by Navigator CGM Data

Time frame: 24 hours

Population: Navigator CGM data from the day prior to admission was not obtained

Secondary

Blood Glucagon Levels

Time frame: 24 hours

ArmMeasureValue (MEAN)Dispersion
Closed-loopBlood Glucagon Levels1.7 microgram/kgStandard Deviation 0.36
Secondary

Glucagon T-max

Time to maximum peak glucagon concentration

Time frame: 24 hours

ArmMeasureValue (MEAN)Dispersion
Closed-loopGlucagon T-max23 minutesStandard Deviation 9
Secondary

Insulin and Glucagon Levels During Closed Loop and Open Loop Admissions of Diabetic Subjects Compared to the Comparable 24 Hour Period During the Admission of Non-diabetic Subject

Time frame: 24 hours

Population: This outcome was not analyzed. There were no experiments in non-diabetic subjects that we were able to make a comparison with

Secondary

Insulin and Glucagon Levels During the Closed-loop Admission as Compared to the Comparable 24 Hour Period During the Open Loop Admission of Diabetic Subjects

Time frame: 24 hours

Population: This outcome was not analyzed. There were no open loop experiments in diabetic subjects that we were able to make a comparison with

Secondary

Nadir Blood Glucose Level for Each Hypoglycemic Event

Time frame: 24 hours

ArmMeasureGroupValue (NUMBER)
Closed-loopNadir Blood Glucose Level for Each Hypoglycemic EventEvent 1 of 266 mg/dl
Closed-loopNadir Blood Glucose Level for Each Hypoglycemic EventEvent 2 of 268 mg/dl
Secondary

Number of Carbohydrate Interventions

Time frame: 24 hours

ArmMeasureValue (NUMBER)
Closed-loopNumber of Carbohydrate Interventions0 number of interventions
Secondary

Number of Hypoglycemic Events

This outcome captures the number of hypoglycemic events that occurred throughout the entire study

Time frame: 24 hours

ArmMeasureValue (NUMBER)
Closed-loopNumber of Hypoglycemic Events2 Number of events
Secondary

Number of Participants Achieving a Stable Glucose Response to Insulin Dosing

Time frame: 24 hours

ArmMeasureValue (NUMBER)
Closed-loopNumber of Participants Achieving a Stable Glucose Response to Insulin Dosing11 participants
Secondary

Number of Participants Achieving a Stable Glucose Response to Insulin Dosing Around Idle Times Prior to Meals

Time frame: 24 hours

ArmMeasureValue (NUMBER)
Closed-loopNumber of Participants Achieving a Stable Glucose Response to Insulin Dosing Around Idle Times Prior to Meals11 participants
Secondary

Peak Hyperglycemia Following Each Meal

Time frame: After each of 3 meals

ArmMeasureGroupValue (MEAN)Dispersion
Closed-loopPeak Hyperglycemia Following Each MealBreakfast226.7 mg/dlStandard Deviation 26.6
Closed-loopPeak Hyperglycemia Following Each MealLunch256.7 mg/dlStandard Deviation 30.7
Closed-loopPeak Hyperglycemia Following Each MealDinner276.5 mg/dlStandard Deviation 33.8
Secondary

Percentage of Peak Post-prandial Hyperglycemias < 180 mg/dl (ADA Target)

Time frame: 24 hours

ArmMeasureGroupValue (NUMBER)
Closed-loopPercentage of Peak Post-prandial Hyperglycemias < 180 mg/dl (ADA Target)Breakfast6 percentage of blood glucose measurements
Closed-loopPercentage of Peak Post-prandial Hyperglycemias < 180 mg/dl (ADA Target)Lunch0 percentage of blood glucose measurements
Closed-loopPercentage of Peak Post-prandial Hyperglycemias < 180 mg/dl (ADA Target)Dinner0 percentage of blood glucose measurements
Secondary

Percentage of Time Spent in Hyperglycemia (BG> 180 mg/dl) After Meals

Time frame: After each of 3 meals

ArmMeasureValue (MEAN)Dispersion
Closed-loopPercentage of Time Spent in Hyperglycemia (BG> 180 mg/dl) After Meals38 percentage of timeStandard Deviation 9
Secondary

Percentage of Time Spent With BG > 180 mg/dl

Time frame: 24 hours

ArmMeasureValue (MEAN)Dispersion
Closed-loopPercentage of Time Spent With BG > 180 mg/dl38 percentage of timeStandard Deviation 2.9
Secondary

Percentage of Time Spent With BG < 70 mg/dl

Time frame: 24 hours

ArmMeasureValue (MEAN)Dispersion
Closed-loopPercentage of Time Spent With BG < 70 mg/dl0.35 percentage of timeStandard Deviation 0.33
Secondary

Percentage of Time Spent Within 70-180 mg/dl

Time frame: 24 hours

ArmMeasureValue (MEAN)Dispersion
Closed-loopPercentage of Time Spent Within 70-180 mg/dl61 percentage of timeStandard Deviation 15
Secondary

Sensitivity for Hypo- and Hyperglycemia of the CGM Devices Using the BG Measurement as the Standard

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

ArmMeasureGroupValue (MEAN)Dispersion
Closed-loopSensitivity for Hypo- and Hyperglycemia of the CGM Devices Using the BG Measurement as the StandardDexcom < 7018.90 percent absolute differenceStandard Deviation 11.85
Closed-loopSensitivity for Hypo- and Hyperglycemia of the CGM Devices Using the BG Measurement as the StandardNavigator < 7018.64 percent absolute differenceStandard Deviation 16.96
Closed-loopSensitivity for Hypo- and Hyperglycemia of the CGM Devices Using the BG Measurement as the StandardGuardian < 7036.46 percent absolute differenceStandard Deviation 23.6
Closed-loopSensitivity for Hypo- and Hyperglycemia of the CGM Devices Using the BG Measurement as the StandardDexcom > 18020.28 percent absolute differenceStandard Deviation 15.34
Closed-loopSensitivity for Hypo- and Hyperglycemia of the CGM Devices Using the BG Measurement as the StandardNavigator > 1809.41 percent absolute differenceStandard Deviation 8.78
Closed-loopSensitivity for Hypo- and Hyperglycemia of the CGM Devices Using the BG Measurement as the StandardGuardian > 18020.71 percent absolute differenceStandard Deviation 16.95
Secondary

Set Point Using CGM Data as the Input to the Controller for Future Studies

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

ArmMeasureValue (NUMBER)
Closed-loopSet Point Using CGM Data as the Input to the Controller for Future Studies100 mg/dl
Secondary

Total Glucagon Dose

Time frame: 24 hours

ArmMeasureValue (MEAN)Dispersion
Closed-loopTotal Glucagon Dose3.5 mcg/kgStandard Deviation 2.8
Secondary

Total Insulin Dose

Time frame: 24 hours

ArmMeasureValue (MEAN)Dispersion
Closed-loopTotal Insulin Dose0.67 u/kgStandard Deviation 0.34

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026