Pańkowska Ewa
Department of Pediatrics, Medical University of Warsaw, Warsaw, Poland.
J Diabetes Sci Technol. 2010 Jul 1;4(4):903-5. doi: 10.1177/193229681000400419.
In this issue of Journal of Diabetes Science and Technology, Shapira and colleagues present new concepts of carbohydrate load estimation in intensive insulin therapy. By using a mathematical model, they attempt to establish how accurately carbohydrate food content should be maintained in order to keep postprandial blood glucose levels in the recommended range. Their mathematical formula, the "bolus guide" (BG), is verified by simulating prandial insulin dosing and responding to proper blood glucose levels. Different variants such as insulin sensitivity factor, insulin-to-carbohydrate ratio, and target blood glucose were taken into this formula in establishing the calculated proper insulin dose. The new approach presented here estimates the carbohydrate content by rearranging the carbohydrate load instead of the simple point estimation that the current bolus calculators (BCs) use. Computerized estimations show that the BG directives, as compared to a BC, result in more glucose levels above 200 mg/dl and thus indicate less hypoglycemia readings.
在本期《糖尿病科学与技术杂志》中,沙皮拉及其同事提出了强化胰岛素治疗中碳水化合物负荷估算的新概念。通过使用数学模型,他们试图确定应如何精确维持碳水化合物食物含量,以使餐后血糖水平保持在推荐范围内。他们的数学公式“大剂量指南”(BG)通过模拟餐时胰岛素给药并对适当的血糖水平做出反应来进行验证。在建立计算出的适当胰岛素剂量时,该公式纳入了不同变量,如胰岛素敏感性因子、胰岛素与碳水化合物的比例以及目标血糖。此处提出的新方法通过重新安排碳水化合物负荷来估算碳水化合物含量,而不是像当前的大剂量计算器(BCs)那样进行简单的点估计。计算机化估算表明,与BC相比,BG指令导致更多血糖水平高于200mg/dl,因此低血糖读数更少。