Metabolic Diseases Unit, Institut de Recherches Cliniques de Montréal, Montréal, Québec, Canada.
Department of Nutrition, Université de Montréal, Montréal, Québec, Canada.
Diabetes Obes Metab. 2018 Feb;20(2):245-256. doi: 10.1111/dom.13052. Epub 2017 Aug 10.
For patients with type 1 diabetes, closed-loop delivery systems (CLS) combining an insulin pump, a glucose sensor and a dosing algorithm allowing a dynamic hormonal infusion have been shown to improve glucose control when compared with conventional therapy. Yet, reducing glucose excursion and simplification of prandial insulin doses remain a challenge. The objective of this literature review is to examine current meal-time strategies in the context of automated delivery systems in adults and children with type 1 diabetes. Current challenges and considerations for post-meal glucose control will also be discussed. Despite promising results with meal detection, the fully automated CLS has yet failed to provide comparable glucose control to CLS with carbohydrate-matched bolus in the post-meal period. The latter strategy has been efficient in controlling post-meal glucose using different algorithms and in various settings, but at the cost of a meal carbohydrate counting burden for patients. Further improvements in meal detection algorithms or simplified meal-priming boluses may represent interesting avenues. The greatest challenges remain in regards to the pharmacokinetic and dynamic profiles of available rapid insulins as well as sensor accuracy and lag-time. New and upcoming faster acting insulins could provide important benefits. Multi-hormone CLS (eg, dual-hormone combining insulin with glucagon or pramlintide) and adjunctive therapy (eg, GLP-1 and SGLT2 inhibitors) also represent promising options. Meal glucose control with the artificial pancreas remains an important challenge for which the optimal strategy is still to be determined.
对于 1 型糖尿病患者,与传统治疗相比,将胰岛素泵、葡萄糖传感器和允许动态激素输注的剂量算法相结合的闭环输送系统 (CLS) 已被证明可改善血糖控制。然而,降低血糖波动和简化餐时胰岛素剂量仍然是一个挑战。本文旨在研究 1 型糖尿病成人和儿童中自动化输送系统中当前的餐时策略。还将讨论餐后血糖控制的当前挑战和考虑因素。尽管在餐时检测方面取得了有希望的结果,但全自动 CLS 仍未能在餐后期间提供与碳水化合物匹配的推注相媲美的 CLS 血糖控制。后一种策略使用不同的算法在各种环境中有效控制餐后血糖,但代价是患者需要进行餐时碳水化合物计数。进一步改进餐时检测算法或简化餐时预充注推注可能是有趣的途径。最大的挑战仍然在于可用速效胰岛素的药代动力学和动态特征以及传感器的准确性和滞后时间。新的和即将出现的速效胰岛素可能会带来重要的益处。双激素 CLS(例如,将胰岛素与胰高血糖素或普兰林肽结合的双激素)和辅助治疗(例如,GLP-1 和 SGLT2 抑制剂)也是有前途的选择。人工胰腺的餐时血糖控制仍然是一个重要的挑战,最佳策略仍有待确定。