Two Way Crossover Closed Loop Study Insulin vs Insulin and Pramlintide
A Crossover Study to Evaluate Insulin/Pramlintide Versus Insulin Alone Delivery Strategy
1 other identifier
interventional
33
1 country
1
Brief Summary
The purpose of this study is to test how well a new investigational closed loop system manages your blood sugar with the ability to deliver insulin and pramlintide. Pramlintide is a drug that is used with mealtime insulin to control blood sugar in people who have diabetes. It works by slowing down the movement of food through the stomach which prevents blood sugar from rising too high after a meal. The closed loop system will receive glucose values from the Dexcom G6 continuous glucose monitoring (CGM) and automatically send commands to one Omnipod for insulin and one Omnipod for pramlintide delivery.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Jul 2024
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
May 15, 2024
CompletedFirst Posted
Study publicly available on registry
May 20, 2024
CompletedStudy Start
First participant enrolled
July 12, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 4, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
January 28, 2025
CompletedResults Posted
Study results publicly available
March 5, 2026
CompletedMarch 5, 2026
February 1, 2026
6 months
May 15, 2024
January 4, 2026
February 12, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Incremental Area Under the Curve of Postprandial Glucose Following the First Meal
Incremental area under the curve (iAUC) of postprandial glucose (mg/dL\*min) calculated using a trapezoidal method, which sums all continuous glucose monitoring (CGM) values above the starting glucose for the obseration period. Values shown are (mg/dL\*min)/1000.
6 hours following first meal
Percent of Time With Sensed Glucose Between 70 - 180 mg/dl Following First Meal
Blood glucose values are recorded every 5 minutes using the Dexcom G6 sensor. Percent of time in range can take values between 0 and 100 and uses the six hours following the meal as the denominator.
6 hours following first meal
Secondary Outcomes (46)
Incremental Area Under the Curve of Postprandial Glucose Following the Second Meal
6 hours following second meal
Percent of Time With Sensed Glucose Between 70 - 180 mg/dl Following Second Meal
6 hours following second meal
Net Area Under the Curve of Postprandial Glucose Following the First Meal
6 hours following first meal
Net Area Under the Curve of Postprandial Glucose Following the Second Meal
6 hours following second meal
Net Area Under the Curve of Postprandial Glucose
12 hour clinic visit
- +41 more secondary outcomes
Study Arms (2)
Insulin Only Arm
EXPERIMENTALParticipants will use the closed loop system with insulin only for managing blood sugar during the 12.5 hour study. Insulin will be administered by an Omnipod. Sensor glucose will be measured by a Dexcom G6 CGM. Participants will eat two meals while in clinic.
Insulin and Pramlintide Arm
EXPERIMENTALParticipants will use the closed loop system with insulin and pramlintide for managing blood sugar during the 12.5 hour study. Insulin and pramlintide will be administered by two Omnipods. Sensor glucose will be measured by a Dexcom G6 CGM. Participants will eat two meals while in clinic.
Interventions
The Model Predictive Control (MPC) insulin infusion algorithm contains a model within the controller that takes as an input the aerobic metabolic expenditure in addition to the CGM and meal in puts. The algorithm uses heart rate and accelerometer data collected on the patient's body to calculate metabolic expenditure (METs). The METs then acts on the model for the insulin dynamics, whereby more energy expenditure and longer duration exercise can lead to a more substantial effect of insulin on the CGM. The MPC also has missed meal insulin bolus detection where the system will calculate the amount of insulin that was missed for a meal. The missed meal boluses can be delivered automatically without any input from the user. This feature can also be disabled. The device in this mode will administer insulin continuously for managing blood sugar.
The Model Predictive Control (MPC) insulin infusion algorithm contains a model within the controller that takes as an input the aerobic metabolic expenditure in addition to the CGM and meal in puts. The algorithm uses heart rate and accelerometer data collected on the patient's body to calculate metabolic expenditure (METs). The METs then acts on the model for the insulin dynamics, whereby more energy expenditure and longer duration exercise can lead to a more substantial effect of insulin on the CGM. The MPC also has missed meal insulin bolus detection where the system will calculate the amount of insulin that was missed for a meal. The missed meal boluses can be delivered automatically without any input from the user. This feature can also be disabled. The device in this mode will administer both insulin and pramlintide continuously for managing blood sugar. The system will deliver pramlintide in a fixed ratio to insulin at 6 mcg of pramlintide delivered for every 1 unit of insulin.
Eligibility Criteria
You may qualify if:
- Diagnosis of type 1 diabetes mellitus for at least 1 year.
- Participants 18 to 70 years of age.
- Current use of an insulin pump for at least 3 months with stable insulin pump settings for \>2 weeks OR current use of multiple day injection insulin therapy with stable doses for \>2 weeks.
- Uses a carbohydrate ratio, at lease occasionally, to dose meal time insulin.
- HbA1c ≤ 10.5% at screening.
- Total daily insulin requirement is less than 139 units/day.
- Willingness to follow all study procedures, including attending all clinic visits.
- Willingness to sign informed consent and HIPAA documents.
You may not qualify if:
- Individual of childbearing potential who is pregnant or intending to become pregnant or breast-feeding, or is not using adequate contraceptive methods. Acceptable contraception includes birth control pill / patch / vaginal ring, Depo-Provera, Norplant, an IUD, the double barrier method (the woman uses a diaphragm and spermicide and the man uses a condom), or abstinence.
- Renal insufficiency (GFR \< 60 ml/min, using the MDRD equation as reported by the OHSU laboratory).
- Liver failure, cirrhosis, or any other liver disease that compromises liver function as determined by the investigator.
- History of severe hypoglycemia during the past 3 months prior to screening visit or hypoglycemia unawareness as judged by the investigator. Participants will complete a hypoglycemia awareness questionnaire. Participants will be excluded for four or more R responses.
- History of diabetes ketoacidosis during the prior 3 months prior to screening visit, as diagnosed on hospital admission or as judged by the investigator.
- Adrenal insufficiency.
- Any active infection requiring treatment (example soft tissue infection requiring antibiotics).
- Known or suspected abuse of alcohol, narcotics, or illicit drugs.
- Seizure disorder.
- Active foot ulceration.
- Major surgical operation within 30 days prior to screening.
- Use of an investigational drug within 30 days prior to screening.
- Chronic usage of any immunosuppressive medication (such as cyclosporine, azathioprine, sirolimus, or tacrolimus).
- Bleeding disorder, treatment with warfarin, or platelet count below 50,000.
- Allergy to aspart insulin.
- +8 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Oregon Health and Science University
Portland, Oregon, 97239, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Results Point of Contact
- Title
- Leah Wilson
- Organization
- Oregon Health & Science University
Study Officials
- PRINCIPAL INVESTIGATOR
Leah Wilson, MD
Oregon Health and Science University
Publication Agreements
- PI is Sponsor Employee
- No
- Restrictive Agreement
- No
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
May 15, 2024
First Posted
May 20, 2024
Study Start
July 12, 2024
Primary Completion
January 4, 2025
Study Completion
January 28, 2025
Last Updated
March 5, 2026
Results First Posted
March 5, 2026
Record last verified: 2026-02