EValuating Glucose ContrOL Using a Next-GeneraTION Automated Insulin Delivery Algorithm in Patients with Type 1 and Type 2 Diabetes: The EVOLUTION Study.
Tom Wilkinson, Renee Meier, Niranjala Hewapathirana, Claire Lever, Solita Donnelly, Rachael Sampson, Jonathan Williman, Mert Sevil, Saeed Salavati, Sam Carl, Bonnie Dumais, Trang T Ly, Martin de Bock
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引用次数: 0
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.
期刊介绍:
Diabetes Technology & Therapeutics is the only peer-reviewed journal providing healthcare professionals with information on new devices, drugs, drug delivery systems, and software for managing patients with diabetes. This leading international journal delivers practical information and comprehensive coverage of cutting-edge technologies and therapeutics in the field, and each issue highlights new pharmacological and device developments to optimize patient care.