Auto Calibration and shaped insulin delivery to lower average blood glucose

 描述（由申请人提供）：自动校准和成形胰岛素输送以降低平均血糖摘要当前用于校准胰岛素泵的临床标准是基于总体重。在这个过程中，未考虑的因素会导致估计经常错误25- 30%。其结果是，在大多数情况下，需要数月的试错来达到合理的泵校准。这在儿童中尤其成问题，因为每当他们显著或快速生长时（例如，在生长突增期间），他们的泵需要重新校准。所提出的算法将计算用于校准泵的个体准确值，根据关于碳水化合物摄入量和血糖水平的一些测量的信息自动设置所有必需的参数（胰岛素敏感性、碳水化合物比率和基础速率）。该项目的第二个进展是使用复杂的、随时间变化的胰岛素剂量，以最大限度地减少餐后高血糖和低血糖波动。该项目将把一些原本在摄入碳水化合物后数小时内给予的基础胰岛素转移到餐前或餐中，从而显著降低餐后血糖，而没有低血糖的风险。

 DESCRIPTION (provided by applicant): Auto-calibration and shaped insulin delivery to lower average blood glucose Abstract The current clinical standard for calibrating insulin pumps is based on total body weight. Unaccounted for factors in this procedure result in estimates that are frequently incorrect by 25-30%. The result is that in most cases months of trial-and-error are required to arrive at a reasonable pump calibration. This is particularly problematic in children, as their pumps require re-calibration whenever they grow significantly or rapidly (e.g. during growth spurts). The proposed algorithm would compute individual, accurate values for calibrating pumps, automatically setting all the requisite parameters (insulin sensitivity, carb ratio and basal rates) from information regarding carb intake and a few measures of blood glucose level. A second advance in the proposed project would be to use complex, time-varying insulin doses to minimize postprandial high and low blood glucose excursions. This project would shift some of the basal insulin that would otherwise have been given over the hours subsequent to the ingestion of carbohydrates to either before or during the meal, resulting in a dramatic lowering of postprandial blood sugars without the risk of hypoglycemia.