Two Way Crossover Closed Loop Study Insulin vs Insulin and Pramlintide

NCT06422325 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 33

Last updated 2026-03-05

Study results available
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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.

Conditions

Interventions

DEVICE

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.

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.

Sponsors & Collaborators

  • Oregon Health and Science University

    lead OTHER

Principal Investigators

  • Leah Wilson, MD · Oregon Health and Science University

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
NONE
Model
CROSSOVER

Eligibility

Min Age
18 Years
Max Age
70 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-07-12
Primary Completion
2025-01-04
Completion
2025-01-28
FDA Device
Yes

Countries

  • United States

Study Locations

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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06422325 on ClinicalTrials.gov