Introduction: The use of most commercially available automated insulin delivery (AID) systems is off-label in pregnancy. However, an increasing number of women with type 1 diabetes (T1D) use such devices throughout pregnancy and delivery. We analysed the data of six women with T1D from a single centre (Diabetology Outpatient Clinic of District-63/Asl Salerno, Italy) who were able to start and maintain AID therapy with the MiniMed™ 780G (Medtronic, Minneapolis, MN, USA) throughout the pregestational care period, pregnancy, delivery, and postpartum.
Methods: We retrospectively collected data from six patients with T1D who received training and initiation on use of the MiniMed™ 780G and attended follow-up visits throughout pregnancy (these visits were virtual because of the COVID-19 pandemic). All patients maintained their devices in the closed-loop setting throughout pregnancy and during labour and delivery. We analysed data from the pregestational phase to the first 30 days postpartum.
Results: All patients achieved the recommended metabolic goals before conception [median time in range (TIR) of 88% for 70-180 mg/dL; median pregnancy-specific TIR 63-140 mg/dL (ps-TIR) of 66% and maintained the ps-TIR until delivery (median ps-TIR 83%). All patients had slightly better metrics during the night than during the day, with a very low time below range of < 63 mg/dL. Optimal glycaemic values were also maintained on the day of labour and delivery (median ps-TIR 92.5%) and in the first 30 days postpartum, with no severe hypoglycaemia. The only neonatal complications were jaundice in one child and an interatrial defect in another child.
Conclusion: In our well-selected and trained patients, use of the MiniMed™ 780G helped to achieve and maintain ps-metrics from the pregestational period to delivery despite the fact that the algorithm is not set to achieve the ambitious glycaemic values recommended for pregnancy.
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http://dx.doi.org/10.1007/s00592-024-02315-z | DOI Listing |
J Med Internet Res
January 2025
Diabetes Management Research, Steno Diabetes Center Copenhagen, Herlev, Denmark.
Background: Although commercially developed automated insulin delivery (AID) systems have recently been approved and become available in a limited number of countries, they are not universally available, accessible, or affordable. Therefore, open-source AID systems, cocreated by an online community of people with diabetes and their families behind the hashtag #WeAreNotWaiting, have become increasingly popular.
Objective: This study focused on examining the lived experiences, physical and emotional health implications of people with diabetes following the initiation of open-source AID systems, their perceived challenges, and their sources of support, which have not been explored in the existing literature.
Front Endocrinol (Lausanne)
January 2025
Università degli Studi di Milano, Milano, Italy.
Telemedicine (TM) has emerged as a valuable tool in managing pediatric type 1 diabetes (T1D), particularly during the COVID-19 pandemic when traditional in-person visits were limited. This narrative review examines the impact of TM on patient-provider relationships, glycemic control, and overall diabetes management in children and adolescents with T1D. Studies consistently demonstrate high levels of patient and provider satisfaction with TM, citing increased consultation frequency, reduced travel burdens, and lower associated costs.
View Article and Find Full Text PDFPediatr Rep
December 2024
Department of Endocrinology, Diabetes Mellitus, Nutrition and Metabolic Disorders, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.
Background: Insulin pumps coupled with continuous glucose monitoring sensors use algorithms to analyze real-time blood glucose levels. This allows for the suspension of insulin administration before hypoglycemic thresholds are reached or for adaptive tuning in hybrid closed-loop systems. This longitudinal retrospective study aims to analyze real-world glycemic outcomes in a pediatric population transitioning to such devices.
View Article and Find Full Text PDFDiabet Med
December 2024
Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.
Aims: Diabetes distress (DD) is prevalent among people with diabetes. While automated insulin delivery systems (AIDs) improve glycaemic control, their impact on DD is unclear. We aimed to investigate the effect of AIDs on DD in people with diabetes and their caregivers.
View Article and Find Full Text PDFCan J Diabetes
December 2024
Montreal Clinical Research Institute, 110 Pine Ave W, Montreal, Quebec, H2W 1R7, Canada; Division of Experimental Medicine, Department of Medicine, McGill University, 845 Sherbrooke St W, Montreal, Quebec H3A 0G4, Canada.
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