Pivotal trials of automated insulin delivery (AID) closed-loop systems have demonstrated a consistent picture of glycemic benefit, supporting approval of multiple systems by the Food and Drug Administration or Conformité Européenne mark receipt. To assess how pivotal trial findings translate to commercial AID use, a systematic review of retrospective real-world studies was conducted. PubMed and EMBASE were searched for articles published after 2018 with more than five nonpregnant individuals with type 1 diabetes (T1D). Data were screened/extracted in duplicate for sample size, AID system, glycemic outcomes, and time in automation. Of 80 studies identified, 20 met inclusion criteria representing 171,209 individuals. Time in target range 70-180 mg/dL (3.9-10.0 mmol/L) was the primary outcome in 65% of studies, with the majority of reports (71%) demonstrating a >10% change with AID use. Change in hemoglobin A1c (HbA1c) was reported in nine studies (range 0.1%-0.9%), whereas four reported changes in glucose management indicator (GMI) with a 0.1%-0.4% reduction noted. A decrease in HbA1c or GMI of >0.2% was achieved in two-thirds of the studies describing change in HbA1c and 80% of articles where GMI was described. Time below range <70 mg/dL (<3.9 mmol/L) was reported in 16 studies, with all but 1 study showing stable or reduced levels. Most systems had >90% time in automation. With larger and more diverse populations, and follow-up periods of longer duration (∼9 months vs. 3-6 months for pivotal trials), real-world retrospective analyses confirm pivotal trial findings. Given the glycemic benefits demonstrated, AID is rapidly becoming the standard of care for all people living with T1D. Individuals should be informed of these systems and differences between them, have access to and coverage for these technologies, and receive support as they integrate this mode of insulin delivery into their lives.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10890954 | PMC |
http://dx.doi.org/10.1089/dia.2023.0442 | DOI Listing |
Diabetes Technol Ther
January 2025
Department of Paediatrics, University of Otago, Christchurch, New Zealand.
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.
View Article and Find Full Text PDFDiabetes Obes Metab
January 2025
Department of Endocrinology, Diabetes and Metabolism, University Children's Hospital, Ljubljana, Slovenia.
Aims: The aim of this study was to assess postprandial glycaemic outcomes using automated insulin delivery with faster acting insulin aspart (FIA) or standard insulin aspart (SIA) over 4 weeks in youth (aged 10-18 years) with type 1 diabetes.
Materials And Methods: We undertook a secondary analysis of postprandial glycaemic outcomes from a double-blind, randomised, crossover study comparing FIA to SIA using an investigational version of MiniMed™ 780G. Endpoints included postprandial time in tight range (70-140 mg/dL; TITR), postprandial glucose excursions and peak glucose, and incremental area under curve (iAUC).
Diabetes Technol Ther
January 2025
Department of Diabetes and Endocrinology, University Hospitals of Derby and Burton NHS Foundation Trust, Royal Derby Hospital, Derby, United Kingdom.
To evaluate real-world outcomes in adults with type 1 diabetes initiating open-source automated insulin delivery systems (OS-AID). Adults with type 1 diabetes who commenced OS-AID, between May 2016 and April 2021, across 12 centers in the United Kingdom were included. Anonymized clinical data, collected during routine clinical care between December 2019 and November 2023, were submitted to a secure web-based tool within the National Health Service network.
View Article and Find Full Text PDFBackground: The use of automated insulin delivery (AID) devices is now widespread in the management of type 1 diabetes (T1D), being used for younger and older children, adolescents and adults. The integration of insulin pumps with continuous glucose monitors (CGM) and smart management software in AID systems has significantly improved glycemic management compared to the separate application of each diabetes technology. The efficacy of AID systems has been demonstrated in randomized controlled trials (RCTs) but it is their application in real-world studies that fully demonstrates their impact for people with T1D.
View Article and Find Full Text PDFJ Diabetes Sci Technol
January 2025
Department of Endocrinology and Nephrology, Copenhagen University Hospital-North Zealand, Hillerød, Denmark.
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