Insulin Delivery With Self-Adjusting Closed-Loop and Behavioral Glycemic Control Enhanced by Prediction (INSIGHT)
Insulin Delivery With Self-Adjusting Closed-Loop and Behavioral Glycemic Control Enhanced by Prediction (INSIGHT)
This study is a randomized cross-over trial comparing AIDANET with Anticipation to AIDANET in FCL without Anticipation. Participants will complete 4 weeks of AID data collection which will be used to establish baseline and initialize the control algorithm. Participants will then be randomized to one of two groups: Group A: AIDANET in FCL with Anticipation (AIDANET+ACL), and Group B: AIDANET in FCL without Anticipation (AIDANET+FCL). The study duration of each group is 4 weeks each. The order of these two phases will be dependent upon randomization.
The UVA AIDANET algorithm is intended for use by patients with T1D to control the subcutaneous infusion of insulin and aid in their T1D self-management. AIDANET automatically adjusts insulin delivery every 5 minutes in response to CGM values. AIDANET can be used with meal announcement (hybrid closed loop, HCL), without meal announcement (full closed loop, FCL), and with meal anticipation (anticipatory closed loop, ACL).
The purpose of this study is to demonstrate superior glycemic control when using anticipation within our latest Automated Insulin Delivery as Adaptive NETwork (AIDANET) in FCL with Anticipation (AIDANET+ACL) vs. AIDANET in FCL without Anticipation.
Participant Inclusion Criteria
Participant Exclusion Criteria The participant must not have any exclusion criteria to be eligible to participate in the study.
rys6hm@uvahealth.org(434) 249-6251
llk7m@uvahealth.org(434) 982-6479
Charlottesville, Virginia 22903, United States
sab2f@uvahealth.org4349820602