Automated insulin delivery (AID) systems have revolutionised type 1 diabetes management. Nevertheless, physical activity (PA) and complex meals challenge effective AID, as they often cause glycemic variability. While advanced features can address these challenges, there is little evidence-based guidance for their optimal use. This study aimed to compare specific, user-driven, and recommendation-consistent strategies within the CamAPS FX AID system to optimise glycemia during PA and complex meals in a real-world, supervised camp setting
Optimising the CamAPS FX automated insulin delivery system for exercise and complex meals in adolescents with type 1 diabetes: A prospective interventional study in a camp setting
Marigliano, MarcoWriting – Original Draft Preparation
;Franceschi, Roberto;
2025-01-01
Abstract
Automated insulin delivery (AID) systems have revolutionised type 1 diabetes management. Nevertheless, physical activity (PA) and complex meals challenge effective AID, as they often cause glycemic variability. While advanced features can address these challenges, there is little evidence-based guidance for their optimal use. This study aimed to compare specific, user-driven, and recommendation-consistent strategies within the CamAPS FX AID system to optimise glycemia during PA and complex meals in a real-world, supervised camp settingFile in questo prodotto:
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