Hormonal
A non-carbohydrate counting (non-CC) meal bolus strategy based on preprandial glucose levels, when used with open-source automated insulin delivery (AID), significantly improves time in range (TIR) and reduces glycemic variability compared to manual open-loop modes in adults with Type 1 Diabetes.
If you have Type 1 Diabetes and find carbohydrate counting stressful or error-prone, consider using an open-source automated insulin delivery system (like AndroidAPS) with a simplified bolus strategy. Instead of counting carbs, you calculate your insulin based on your pre-meal glucose level and your average mealtime insulin needs. This approach can significantly improve your time in range and reduce glycemic variability, especially at night, without increasing the risk of hypoglycemia. It is a viable alternative for those who find traditional carb counting burdensome.
A non-CC meal bolus strategy based on preprandial glucose in adults with T1D utilizing open-source AID effectively prevents glycemic excursions and maintains a mean TIR over 70%.
Why this rating
Randomized crossover trial with 28 participants, statistically significant results, but short duration (2 weeks per phase) and single-center design.
Source
Efficacy and Safety of a Non-Carbohydrate Counting Meal Bolus Strategy in Adults with Type 1 Diabetes Using Open-Source Automated Insulin Delivery
Yunying Cai et al. · Diabetes Technology & Therapeutics · 2025
DOI 10.1089/dia.2024.0591
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