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NOT YET RECRUITING
NCT07808385
NA

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

View on ClinicalTrials.gov

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

Interventions

DEVICE

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