Trials / Completed
CompletedNCT05799781
Two Way Crossover Closed Loop MPC vs Control IQ
A Randomized Study to Compare a Fully-closed MPC Control Algorithm With a Commercial Hybrid Closed-loop Algorithm
- Status
- Completed
- Phase
- N/A
- Study type
- Interventional
- Enrollment
- 29 (actual)
- Sponsor
- Oregon Health and Science University · Academic / Other
- Sex
- All
- Age
- 18 Years
- Healthy volunteers
- Not accepted
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.
Detailed description
Participants will undergo one 7-day Intervention Period and one 7-day Control Period in randomized order. During the 7-day intervention, participants will wear an Omnipod to deliver Fiasp insulin and a Dexcom G6 CGM. The CGM system will provide sensed 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 one meal in clinic and complete system training on Day 1 and then spend the rest of the 7 days at home. During the 7-day control, the participant will continue their usual diabetes care regimen using the tslim X2 pump with Dexcom G6 with Control IQ enabled.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DEVICE | 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. |
| DEVICE | 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. |
Timeline
- Start date
- 2023-03-13
- Primary completion
- 2024-12-27
- Completion
- 2025-01-28
- First posted
- 2023-04-05
- Last updated
- 2026-03-06
- Results posted
- 2026-03-06
Locations
2 sites across 1 country: United States
Regulatory
- FDA-regulated device study
Source: ClinicalTrials.gov record NCT05799781. Inclusion in this directory is not an endorsement.