Two Way Crossover Closed Loop Study Insulin vs Insulin and Pramlintide

NCT ID: NCT06422325

Last Updated: 2025-02-07

Basic Information

• Recruitment Status: COMPLETED
• Clinical Phase: NA
• Total Enrollment: 33 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2024-07-12
• Study Completion Date: 2025-01-28

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.

Detailed Description

Participants will undergo two 12.5 hour clinic visits. Participants will complete a training on how to start the Dexcom G6 sensor at home. Participants will start the G6 sensor the day before each study visit. For one visit, the system will use insulin only for managing blood sugar. For the other study, the system will use both insulin and pramlintide. The order of the visits will be randomly chosen. For 3 days before the insulin and pramlintide visit, participants will dose with pramlintide before each meal. During the visits, participants will wear one or two Omnipods to delivery insulin and insulin/pramlintide and a Dexcom G6 CGM. The CGM system will provide sensor glucose data every 5 minutes. Sensor glucose data will be wirelessly transmitted via Bluetooth Low Energy (BTLE) from the Dexcom G6 to the smartphone master controller every 5 minutes. The smartphone will communicate via BTLE to an Omnipod for insulin delivery. The closed loop system will receive activity data through a Polar M600 watch worn by the participant. Participants will eat breakfast and lunch in clinic.

Conditions

Type 1 Diabetes

Study Design

• Allocation Method: RANDOMIZED
• Intervention Model: CROSSOVER
• Primary Study Purpose: TREATMENT
• Blinding Strategy: NONE

Study Groups

Insulin Only Arm

Participants 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.

Group Type: EXPERIMENTAL

MPC closed-loop system in insulin only mode

Intervention Type: DEVICE

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.

Insulin and Pramlintide Arm

Participants 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.

Group Type: EXPERIMENTAL

MPC closed-loop system in insulin/pramlintide mode

Intervention Type: DEVICE

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.

Interventions

MPC closed-loop system in insulin only mode

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.

Intervention Type: DEVICE

MPC closed-loop system in insulin/pramlintide mode

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.

Intervention Type: DEVICE

Eligibility Criteria

Inclusion Criteria

• 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.

Exclusion Criteria

• 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.
• Any cardiovascular disease, defined as a clinically significant EKG abnormality at the time of screening or any history of: stroke, heart failure, myocardial infarction, angina pectoris, or coronary arterial bypass graft or angioplasty. Diagnosis of 2nd or 3rd degree heart block or any non-physiological arrhythmia judged by the investigator to be exclusionary.
• 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.
• Allergy to pramlintide.
• Current administration of oral or parenteral corticosteroids.
• Any life-threatening disease, including malignant neoplasms and medical history of malignant neoplasms within the past 5 years prior to screening (except basal and squamous cell skin cancer).
• Current use of any medication intended to lower glucose other than insulin or pramlintide (ex. use of liraglutide, metformin).
• Gastroparesis
• Diets consisting of less than 50 grams of carbohydrates per day.
• Dietary restrictions or allergies to the study meals
• Any clinically significant disease or disorder which in the opinion of the Investigator may jeopardize the participant's safety or compliance with the protocol.

• Minimum Eligible Age: 18 Years
• Maximum Eligible Age: 70 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Oregon Health and Science University

OTHER

Sponsor Role: lead

Responsible Party

Leah Wilson

Principal Investigator

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Leah Wilson, MD

Role: PRINCIPAL_INVESTIGATOR

Oregon Health and Science University

Locations

Oregon Health and Science University

Portland, Oregon, United States

Countries

United States

Other Identifiers

25279

Identifier Type: -

Identifier Source: org_study_id