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Algorithm-Driven Initiation and Adaptation of Hybrid Closed-Loop in Young Children with Type 1 Diabetes: A Pilot
Jacopo Pavan1, Erin Cobry2, Zachariah W Reed3
1Center for Diabetes Technology, University of Virginia, Charlottesville, VA, USA.
Insights
Algorithm-driven initiation and adjustment of automated insulin delivery (AID) systems proved safe and effective for young children (2-6 years) with type 1 diabetes. This approach improved glucose control, reducing high blood glucose levels without increasing hypoglycemia risks.
Area of Science:
- Pediatric Endocrinology
- Biomedical Engineering
- Diabetes Technology
Background:
- Glucose regulation in young children presents unique challenges due to variability and behavioral factors.
- Automated insulin delivery (AID) benefits are known, but initiation and adjustment are complex for healthcare providers.
- Current methods require expert adjustments, highlighting a need for more accessible solutions.
Purpose of the Study:
- To investigate the safety and efficacy of algorithm-driven initiation and parameter adjustments for AID in children aged 2-6 years.
- To evaluate if an investigational software can safely manage AID settings in this pediatric population.
- To compare algorithm-driven AID management against baseline and expert-managed systems.
Main Methods:
- A pilot study involving 32 children (aged 2-6 years) using AID at home for 8 weeks.
- Initial settings and adjustments were provided via cloud-based investigational software, with physician oversight.
- Primary endpoints assessed time spent below 54 mg/dL and above 250 mg/dL, with efficacy measured by time in range (70-180 mg/dL) and mean glucose.
Main Results:
- AID with algorithm-driven settings was noninferior for safety endpoints (time <54 mg/dL and >250 mg/dL) compared to baseline (P < 0.001).
- Significant improvements were observed in time in range (70-180 mg/dL) (P = 0.005) and reduced time >250 mg/dL (P = 0.003).
- No significant difference was found in time <70 mg/dL (P = 0.34) or compared to expert-managed AID.
Conclusions:
- Algorithm-driven initiation and adjustment of AID systems are safe and effective for young children with type 1 diabetes.
- This technology offers a promising approach to simplify AID management in pediatric care.
- Further validation in larger cohorts is warranted to confirm these findings.
Abstract:
Introduction: Glucose regulation in young children is complicated by higher glycemic variability, unpredictable behaviors, and low insulin needs. While the benefits of automated insulin delivery (AID) for this population are established, how to initiate and adjust pump settings still represents a challenging task for health care providers. In this study, we investigate the safety and efficacy of using algorithm-driven initiation and adjustments of AID parameters in children aged 2-6 years. Methods: Participants used AID at home for 8 weeks. Initial settings and periodic adjustments of therapy profiles (basal rates, insulin-to-carbohydrate ratios, insulin-correction factors, and sleep schedules) were provided through a cloud-based investigational software. Investigators reviewed therapy recommendations and could adjust if necessary. Primary safety endpoints included the percentage of time <54 mg/dL and >250 mg/dL, tested for noninferiority with respect to baseline. Primary efficacy endpoints (tested in a hierarchical manner) were the percentage of time in 70-180 mg/dL, mean glucose, the percentage of time >250 mg/dL, <70 mg/dL, and <54 mg/dL. Results: Thirty-two participants (age range: 2.0-5.9 years) were recruited for the study; 29 had sufficient data for the analysis. Investigators overrode 15% of software recommendations. The percentage of time <54 mg/dL and >250 mg/dL was noninferior in the 8-week follow-up with respect to baseline (P < 0.001). Statistically significant improvements were observed in the percentage of time in 70-180 mg/dL (P = 0.005), >250 mg/dL (P = 0.003), and mean glucose (P = 0.02). No difference was observed in the percentage of time <70 mg/dL (P = 0.34). Furthermore, no difference was observed with respect to a similar study cohort (same age range, n = 86) with expert pediatric endocrinologists modifying pump settings. Conclusions: Findings from this pilot study suggest that the use of AID with algorithm-driven initiation and adjustment of pump parameters is safe and effective in young children with type 1 diabetes. Further study of the algorithm in a larger cohort is indicated. Clinical Trials Registration number: NCT06017089.
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