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Published on: June 11, 2012
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.
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.
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.
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