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The goal of this clinical trial is to obtain safety data and exploratory glycemic control data from use of an at-home closed loop control (CLC) system (t:slim X2 with Control-IQ Technology) with periodic parameter adjustments driven by an AI-based Advisor system in young children with Type 1 Diabetes. The main endpoints this study aims to answer is the safety and efficacy of the use of the AI-driven pump parameters. Participants will use the study system (pump and Continuous Glucose Monitor) in closed-loop mode for eight weeks.
Full description
In this single-arm pilot study of an AI Advisor-driven closed loop system initiation and parameter adaptation in youth age 2 to <6 years old, participants will use the Tandem t:slim X2 with Control-IQ and t:connect mobile application and Dexcom G6 or G7 system, connected to the University of Virginia (UVA) cloud-based Physician Dashboard for eight weeks at home.The key safety outcomes are adverse events related to hypoglycemia and hyperglycemia, CGM-measured time spent below 54mg/dL, and CGM-measured time spent above 250 mg/dL. CGM-measured endpoints will be tested against baseline for non-inferiority.Glycemic outcomes including time in target range 70-180 mg/dL (TIR) and various other CGM measures of hypo- and hyperglycemia will be assessed and tested for superiority against baseline and a matched historical control population from the prior PEDAP study that did not involve the use of any AI-driven pump parameters. Up to 45 screened participants with the goal of at least 30 participants completing the study pump use period.
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33 participants in 1 patient group
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Central trial contact
Emma G Emory, RN; Marc D Breton, Ph.D.
Data sourced from clinicaltrials.gov
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