Model Predictive Control (MPC) Artificial Pancreas vs. Sensor Augmented Pump (SAP)/Predictive Low Glucose Suspend (PLGS) With Different Food Choices in the Outpatient Setting

The goal of this study is to compare the efficacy and safety of an AID system using a MPC algorithm versus SAP/PLGS therapy with different food choices over a 4 week period. The AID system (iAPS) is comprised of an insulin pump, a Dexcom G6 continuous glucose monitoring sensor, and a smart phone that contains the algorithm and communicates with the other devices. In this study, during each two-week period, subjects will be given pre-weighed portions of different meals to eat (either regular semolina pasta or extra-long grain white rice) with detailed cooking instructions, and will eat these meals on 6 different occasions for dinner. They will bolus as they normally do for these meals. This will allow us to observe the postprandial meal response when using sensor-augmented pump (SAP) or iAPS, showing the importance of nutrition choices with modern technological treatments in T1D.