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Single Arm Intervention Trial of DEKA TWIIST TM Insulin Pump Utilizing Tidepool Loop Algorithm in Pregnant People With Pre-existing Type 1 Diabetes
Sponsor: Mayo Clinic
Summary
Suboptimal glycemic control during pregnancy contributes to adverse maternal and fetal health outcomes and previous automated insulin delivery (AID) studies have demonstrated improvement in glucose control across all ages and sexes irrespective of past treatment modality or diabetes duration with no increase in hypoglycemia. However, very few studies evaluating AID system use in pregnancy have been performed in the US and no AID systems are currently approved for use during pregnancy. The objective of this trial is to evaluate the safety and efficacy of THE TWIIST™ system that enables the selection of pregnancy-specific glucose targets. This phase 3 pivotal trial will assess the system's performance in pregnant people with pre-existing type 1 diabetes in the US, starting as early as pregnancy confirmation, continuing throughout the pregnancy including delivery and up to 6 weeks post-partum.
Key Details
Gender
FEMALE
Age Range
18 Years - 45 Years
Study Type
INTERVENTIONAL
Enrollment
32
Start Date
2026-09
Completion Date
2028-12
Last Updated
2026-09-08
Healthy Volunteers
No
Conditions
Interventions
Automated Insulin Delivery (AID)
The AID control algorithm, that will be used during the study employs a model-based predictive control algorithm to forecast future glucose levels. This predictive model accounts for the impact of delivered insulin, user-entered carbohydrates, and incorporates two short-term adaptations: "glucose momentum" and "retrospective correction." These features work to optimize glucose management with precision. The impact of carbohydrates is calculated based on the user-defined insulin-to-carbohydrate ratio and insulin sensitivity factor (ISF), while the insulin effect is governed by the ISF itself. The system then dynamically adjusts insulin delivery, aiming to bring glucose levels in line with the midpoint of the user's personalized glucose target range. Loop fine-tunes insulin delivery by increasing or decreasing the basal insulin rate, as needed, each time a new CGM value is received.
Locations (4)
Stanford University
Stanford, California, United States
University of Colorado, Anschutz Medical Campus
Aurora, Colorado, United States
Mayo Clinic
Rochester, Minnesota, United States
Icahn School of Medicine at Mount Sinai
New York, New York, United States