Fuzzy Logic Automated Insulin Regulation (FLAIR)
Diabetes Mellitus - Type 1
What is the purpose of this trial?
Adolescents and young adults with type 1 diabetes often have a difficult time achieving good glucose control, which is so important in reducing the risk for diabetes complications. Despite the use of multiple daily injections or insulin pumps and glucose sensors, there is still a need for many individuals to further improve glucose levels without causing low blood glucose levels (hypoglycemia) or adding to the daily burden of living with diabetes. Today an insulin pump can receive glucose readings from a continuous glucose monitor and adjust the insulin delivery in an attempt to keep glucose levels in a more optimal range. These systems are called hybrid closed loop (HCL). This means that much of the insulin delivery is automated, yet the patient still interacts regularly with the system, particularly to help determine the insulin dose to deliver to cover a meal. Results of early studies using HCL systems in adolescents and adults with type 1 diabetes are encouraging.
The objective of this study is to compare the efficacy and safety of the automated insulin delivery (AID) system with proportional integral-derivative (PID) algorithm (Minimed 670G 3.0 HCL) to an AID system with combined PID and Fuzzy Logic Algorithm (Minimed 670G 4.0 Advanced Hybrid Closed-Loop (AHCL)). The trial will test the hypothesis that the Minimed AHCL can reduce daytime hyperglycemia, currently the biggest challenge for AID systems, without increasing hypoglycemia.
Up to 124 adolescents and young adults (ages 14-<30) will be recruited to test each system for three months in a randomized crossover trial. Investigators will compare how effective each hybrid closed loop system is at preventing high blood glucose readings during the day. The investigators will also evaluate the safety of each system and how participants adjust to the daily use of the technology.
- Ages14 - 30 years
- Trial withHealthPartners Institute
- Start Date05/30/2019
- End Date12/30/2019
- Last Updated07/01/2019
- Study HIC#2000024562