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EValuating Glucose ContrOL Using a Next-GeneraTION Automated Insulin Delivery Algorithm in Patients with Type 1 and

Tom Wilkinson1, Renee Meier1, Niranjala Hewapathirana2

  • 1Department of Paediatrics, University of Otago, Christchurch, New Zealand.

Diabetes Technology & Therapeutics
|January 27, 2025
PubMed
Summary

A new automated insulin delivery (AID) algorithm for Omnipod shows promise for managing diabetes. This advanced system effectively reduced high blood glucose levels in both type 1 and type 2 diabetes patients.

Keywords:
automated insulin deliveryclosed-loop systemtype 1 diabetestype 2 diabetesunannounced meals

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Area of Science:

  • Endocrinology and Metabolism
  • Biomedical Engineering
  • Diabetes Technology

Background:

  • Automated insulin delivery (AID) systems aim to improve glycemic control in diabetes.
  • Evaluating next-generation algorithms is crucial for advancing diabetes management.
  • Omnipod's AID system offers a wearable, tubeless insulin pump option.

Purpose of the Study:

  • To assess the feasibility and efficacy of a next-generation Omnipod AID algorithm.
  • To evaluate the algorithm's performance in individuals with type 1 and type 2 diabetes.
  • To compare outcomes with and without manual bolus delivery.

Main Methods:

  • Multi-phase study including a run-in period, a hotel setting phase (type 1 only), and an outpatient phase.
  • Participants used the Omnipod AID system for up to 6 weeks.
  • Continuous glucose monitoring (CGM) data were analyzed, with participants alternating manual bolus delivery.

Main Results:

  • Significant reduction in time spent with glucose readings >250 mg/dL in both type 1 and type 2 diabetes patients.
  • Outpatient hyperglycemia decreased from 33.5% to 9.4% (with bolus) and 14.3% (without bolus) in type 1 diabetes.
  • Outpatient hyperglycemia decreased from 20.8% to 7.7% (with bolus) and 10.5% (without bolus) in type 2 diabetes.
  • Time below 70 mg/dL remained consistently low (<4%) across all study phases.
  • No adverse events were reported during the study.

Conclusions:

  • The next-generation Omnipod AID algorithm is feasible for individuals with type 1 and type 2 diabetes.
  • The algorithm demonstrates effective glucose control, reducing hyperglycemia.
  • Further research may explore long-term outcomes and wider adoption of this AID technology.