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Two Way Crossover Closed Loop MPC vs Control IQ
Sponsor: Oregon Health and Science University
Summary
An artificial pancreas (AP) is a control system for automatic insulin delivery. The investigators have implemented a missed meal bolus detection algorithm for use within an AP control system. If a meal is detected that was not reported by the user, the system shall calculate the amount of meal insulin that will be dosed and deliver that insulin. The investigators will test how well the new algorithm manages glucose compared to the participant's usual care including the tslim X2 pump with Control IQ enabled. This type of algorithm may improve glucose control for high risk patient populations.
Official title: A Randomized Study to Compare a Fully-closed MPC Control Algorithm With a Commercial Hybrid Closed-loop Algorithm
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
29
Start Date
2023-03-13
Completion Date
2025-01-28
Last Updated
2026-06-02
Healthy Volunteers
No
Conditions
Interventions
MPC closed-loop system
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.
t:slim X2 pump with Dexcom G6 CGM and Control IQ
The t:slim pump is a hybrid closed-loop system available to consumers for automated insulin delivery. Control IQ technology automatically adjusts insulin levels based on continuous glucose monitoring (CGM) readings from Dexcom G6.
Locations (2)
Oregon Health and Science University
Portland, Oregon, United States
University of Washington
Seattle, Washington, United States