Single Arm Intervention Trial of DEKA TWIIST TM Insulin Pump Utilizing Tidepool Loop Algorithm in Pregnant People With Pre-existing Type 1 Diabetes

Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexFemale
Age18-45
SponsorMayo Clinic

About this trial

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.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

Singleton pregnancy is confirmed by ultrasound.

Pregnant woman between pregnancy confirmation to 96/7 weeks gestation.

Clinical diagnosis of T1D for 1 year or longer.

Using insulin pump (AID/SAP) or multiple daily insulin injections at screening visit.

Disqualifiers

Individuals with T2D, gestational diabetes, or other types of diabetes (e.g., CFRD, MODY, etc.).

Use of basal insulin alone.

Use of short-acting insulin alone, unless use is through an insulin pump.

Severe allergy to medical grade adhesives within the last 3 months that would inhibit participant ability to wear the study devices.

Trial design

Design model

Single group

Treatments tested in this trial

  • Automated Insulin Delivery (AID)

    Device

    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.

Treatment groups

32 Participants
are divided into 1 treatment group
Group A: AID and CGMExperimental treatment 1 intervention

Trial outcomes

Primary outcomes

1

Time in Range 60-140 mg/dL per night

Time frame
30 weeks

Secondary outcomes

Other outcomes

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

Mayo Clinic

Lead sponsor

Icahn School of Medicine at Mount Sinai

Collaborator

University of Colorado, Denver

Collaborator

Stanford University

Collaborator

This trial is not recruiting at the moment. You can still explore other options: