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Safety and Feasibility Evaluation of Automated User Profile Settings Initialization and Adaptation With Control-IQ
Viral N Shah1, Halis K Akturk1, Alex Trahan2
1Barbara Davis Center for Diabetes, University of Colorado, Aurora, CO, USA.
A computerized system safely optimized automated insulin delivery (AID) settings for type 1 diabetes (T1D) management. This approach improved time in range and glycemic control, potentially increasing AID adoption and reducing healthcare burden.
Area of Science:
- Endocrinology
- Diabetes Technology
- Metabolic Disorders
Background:
- Automated insulin delivery (AID) systems require precise setting optimization for effective glycemic control in type 1 diabetes (T1D).
- The t:slim X2 insulin pump with Control-IQ technology offers advanced features for diabetes management.
- Evaluating automated systems for setting initialization and adjustment is crucial for clinical adoption.
Purpose of the Study:
- To assess the safety and efficacy of a computerized system for initializing and adjusting Control-IQ technology settings in adults with T1D.
- To determine if automated setting optimization improves glycemic outcomes compared to baseline therapy.
Main Methods:
- Adults with T1D on multiple daily injections (MDI) underwent a 2-week continuous glucose monitoring (CGM) run-in.
- Participants were transitioned to the t:slim X2 insulin pump with Control-IQ technology for 13 weeks.
- A computerized algorithm provided automated recommendations for initial and weekly adjustments of pump settings (basal rate, insulin-to-carbohydrate ratio, correction factor), with physician override available.
Main Results:
- Time in range (70-180 mg/dL) significantly improved from 45.7% to 69.1% (median increase of 18.8%, P < .001), sustained over 13 weeks.
- The percentage of participants achieving HbA1c <7% increased from 0% to 55% (P < .001).
- Automated setting adaptations were rarely overridden (1.9%), indicating system reliability and safety.
Conclusions:
- Computerized initiation and adaptation of Control-IQ settings are safe for adults with T1D transitioning from MDI.
- This simplified system can enhance AID adoption and reduce clinical workload.
- Automated optimization of AID settings offers a promising approach to improve glycemic management in T1D.
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