ArticleDiabetes spectrum : a publication of the American Diabetes Association2025
Impact of Demographic Features on Glycemic Management With Tubeless Automated Insulin Delivery Systems in Youth With Type 1 Diabetes.
Article in Diabetes spectrum : a publication of the American Diabetes Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectiveAutomated insulin delivery (AID) systems have been shown to improve glycemic time in range (TIR) and A1C; however, there are limited data on their use among historically marginalized groups, technology-naive individuals, and young children. This study evaluated whether certain patient features affect the influence of tubeless AID on glycemic metrics in youth with type 1 diabetes. RESEARCH DESIGN AND
methodsThis was a retrospective chart review involving patients 2-26 years of age with type 1 diabetes who were prescribed a tubeless AID system between January 2021 and May 2023. Demographic and diabetes treatment data were abstracted from the electronic medical record system. Cluster analysis methodology was used to identify clinically relevant patient groups based on demographics and medical history. Generalized mixed-effects modeling was used to compare TIR and A1C between groups.
resultsThrough review of cluster-identified patient characteristics, 133 participants were assigned to one of four groups. Group 1 (
conclusionImprovements in glycemic management were consistent across groups, despite intragroup differences historically associated with barriers to diabetes management. These findings suggest the importance and potential impact of offering tubeless AID in mitigating care disparities and support its implementation for all youth with type 1 diabetes.
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