EValuating Glucose ContrOL Using a Next-GeneraTION Automated Insulin Delivery Algorithm in Patients with Type 1 and Type 2 Diabetes: The EVOLUTION Study

This study evaluated a next-generation automated insulin delivery (AID) algorithm for Omnipod in type 1 and type 2 diabetes across multiple phases: 14-day run-in with usual therapy, 48-h AID use in a hotel setting (type 1 only), and up to 6 weeks of outpatient AID use. Participants did, or did not, deliver manual boluses at alternating periods. Twelve adults with type 1 diabetes completed the hotel phase; 9 of those 12 plus 8 adults with type 2 diabetes completed the subsequent outpatient phase. Outpatient % continuous glucose monitor readings >250 mg/dL decreased from 33.5% at baseline to 9.4% with, and 14.3% without, manual boluses in type 1 diabetes and from 20.8% to 7.7% with, and 10.5% without, manual boluses in type 2 diabetes. Time below 70 mg/dL remained <4% during all phases. No adverse events occurred. In conclusion, a next-generation AID algorithm demonstrated feasibility in people with diabetes.

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Publication Details

Journal
Diabetes Technology & Therapeutics
Published
2025-01-27
DOI
https://doi.org/10.1089/dia.2024.0463
Citations
4
Primary Topic
Diabetes Management and Research
Type
article
Field-Weighted Citation Impact
5.18
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article

EValuating Glucose ContrOL Using a Next-GeneraTION Automated Insulin Delivery Algorithm in Patients with Type 1 and Type 2 Diabetes: The EVOLUTION Study

Jonathan Williman, Trang T. Ly, Saeed Salavati, Claire S. Lever et al.
4 citations
Diabetes Technology & Therapeutics
Diabetes Management and Research
5.18
article

EValuating Glucose ContrOL Using a Next-GeneraTION Automated Insulin Delivery Algorithm in Patients with Type 1 and Type 2 Diabetes: The EVOLUTION Study

Jonathan Williman, Trang T. Ly, Saeed Salavati, Claire S. Lever, Sam Carl, Rachael Sampson, Sandra Donnelly, Mert Sevil, Renee A. Meier, Niranjala Hewapathirana, Bonnie Dumais, Tom Wilkinson, Martin de Bock
article en
4 citations

Abstract

This study evaluated a next-generation automated insulin delivery (AID) algorithm for Omnipod in type 1 and type 2 diabetes across multiple phases: 14-day run-in with usual therapy, 48-h AID use in a hotel setting (type 1 only), and up to 6 weeks of outpatient AID use. Participants did, or did not, deliver manual boluses at alternating periods. Twelve adults with type 1 diabetes completed the hotel phase; 9 of those 12 plus 8 adults with type 2 diabetes completed the subsequent outpatient phase. Outpatient % continuous glucose monitor readings >250 mg/dL decreased from 33.5% at baseline to 9.4% with, and 14.3% without, manual boluses in type 1 diabetes and from 20.8% to 7.7% with, and 10.5% without, manual boluses in type 2 diabetes. Time below 70 mg/dL remained <4% during all phases. No adverse events occurred. In conclusion, a next-generation AID algorithm demonstrated feasibility in people with diabetes.

Diabetes Technology & TherapeuticsVol. 27(4)
New Zealand Association of Counsellors (NZ), Insulet (United States) (US), Canterbury District Health Board (NZ), University of Waikato (NZ), University of Otago (NZ)
Zero hunger
Openalex Percentile: Top 5%
Diabetes Management and Research
5.18
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