Supported Open-Source Automated Insulin Delivery for Management of Type 1 Diabetes in Pregnancy.

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Tác giả: Tom Elliott, Kate Hawke, Maryam Kabootari

Ngôn ngữ: eng

Ký hiệu phân loại: 338.456 Production efficiency in specific industries and groups of industries

Thông tin xuất bản: United States : Journal of diabetes science and technology , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 746233

BACKGROUND: The tight glycemia required to optimize type 1 diabetes (T1D) pregnancy outcomes is difficult to achieve with standard insulin therapies. Automated insulin delivery (AID) offers an avenue to improve glycemia, but most available systems are not configurable to tight pregnancy glucose targets. Open-source AID may meet the needs of some pregnant women with T1D, but available data on its efficacy and safety in pregnancy are limited. METHODS: This single-center retrospective study describes the glycemic and obstetric outcomes of pregnancies in which supported open-source AID (SOSAID) was used. Included patients had a pregnancy managed on SOSAID at BCDiabetes between January 2023 and October 2024 and consented for inclusion of their clinical data. Charts were reviewed to obtain comprehensive glycemic data, obstetric outcomes, and adverse events. RESULTS: Ten patients, mean age 33 years, had a mean pre-pregnancy A1c of 6.7% (range 5.8%-8.0%). There were no episodes of DKA or severe hypoglycemia. Mean time-in-range (TIR CONCLUSIONS: SOSAID systems represent a promising tool for managing T1D in pregnancy and were successful in reaching target pregnancy glycemia in this single-center cohort.
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