TY - JOUR
T1 - The MiniMed 780G automated insulin delivery system adapts to substantial changes in daily routine
T2 - Lessons from real world users during Ramadan
AU - Al-Sofiani, Mohammed E.
AU - Petrovski, Goran
AU - Al Shaikh, Abdulrahman
AU - Alguwaihes, Abdullah
AU - Al Harbi, Mohammad
AU - Al Mohannadi, Dabia
AU - Adjene, Alero
AU - Alagha, Abdulmoeen
AU - Al Remeithi, Sareea
AU - Alamuddin, Naji
AU - Arrieta, Arcelia
AU - Castañeda, Javier
AU - Chaar, Wael
AU - van den Heuvel, Tim
AU - Cohen, Ohad
N1 - Publisher Copyright:
© 2023 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.
PY - 2024/3
Y1 - 2024/3
N2 - Aim: To report on the effectiveness and safety of the MiniMed 780G automated insulin delivery system in real-world users during the month of Ramadan. Materials and Methods: CareLink Personal data were extracted from MiniMed 780G system users from the Gulf region. Users were included if they had ≥10 days of sensor glucose data during the month of Ramadan 2022 as well as in the month before and after. For the main analysis, continuous glucose monitoring endpoints were aggregated per month and were reported by time of day (daytime: 05.31-18.00 h, and night-time). Additional analyses were performed to study the pace at which the algorithm adapts. Results: Glycaemic control was well kept in the 449 included users (mean sensor glucose = 152.6 ± 18.7 mg/dl, glucose management indicator = 7.0 ± 0.4%, time in range = 70.7 ± 11.0%, time below 70 mg/dl = 2.3 ± 2.3%). Albeit some metrics differed from the month before (p <.0001 for all), absolute differences were very small and considered clinically irrelevant. During Ramadan, there was no increased risk of hypoglycaemia during daytime (time below 70 mg/dl = 2.3 ± 2.4%), time in range was highest during daytime (80.0 ± 10.7%, night: 60.4 ± 15.3%), while time above 180 mg/dl was highest during night-time (37.3 ± 16.3%, day: 17.7 ± 10.7%). The algorithm adapted immediately upon lifestyle change. Conclusion: The MiniMed 780G automated insulin delivery system is effective, safe and fast in adapting to the substantial changes that occur in the lifestyle of people with type 1 diabetes during Ramadan.
AB - Aim: To report on the effectiveness and safety of the MiniMed 780G automated insulin delivery system in real-world users during the month of Ramadan. Materials and Methods: CareLink Personal data were extracted from MiniMed 780G system users from the Gulf region. Users were included if they had ≥10 days of sensor glucose data during the month of Ramadan 2022 as well as in the month before and after. For the main analysis, continuous glucose monitoring endpoints were aggregated per month and were reported by time of day (daytime: 05.31-18.00 h, and night-time). Additional analyses were performed to study the pace at which the algorithm adapts. Results: Glycaemic control was well kept in the 449 included users (mean sensor glucose = 152.6 ± 18.7 mg/dl, glucose management indicator = 7.0 ± 0.4%, time in range = 70.7 ± 11.0%, time below 70 mg/dl = 2.3 ± 2.3%). Albeit some metrics differed from the month before (p <.0001 for all), absolute differences were very small and considered clinically irrelevant. During Ramadan, there was no increased risk of hypoglycaemia during daytime (time below 70 mg/dl = 2.3 ± 2.4%), time in range was highest during daytime (80.0 ± 10.7%, night: 60.4 ± 15.3%), while time above 180 mg/dl was highest during night-time (37.3 ± 16.3%, day: 17.7 ± 10.7%). The algorithm adapted immediately upon lifestyle change. Conclusion: The MiniMed 780G automated insulin delivery system is effective, safe and fast in adapting to the substantial changes that occur in the lifestyle of people with type 1 diabetes during Ramadan.
KW - continuous glucose monitoring (CGM)
KW - insulin therapy
KW - real-world evidence
KW - type 1 diabetes
UR - http://www.scopus.com/inward/record.url?scp=85180909729&partnerID=8YFLogxK
U2 - 10.1111/dom.15389
DO - 10.1111/dom.15389
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C2 - 38151748
AN - SCOPUS:85180909729
SN - 1462-8902
VL - 26
SP - 937
EP - 949
JO - Diabetes, Obesity and Metabolism
JF - Diabetes, Obesity and Metabolism
IS - 3
ER -