Automated Insulin Delivery System and People With Type 2 Diabetes: A Topic With Many Facets.

IF 4.1 Q2 ENDOCRINOLOGY & METABOLISM
Lutz Heinemann
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引用次数: 0

Abstract

Optimizing glucose control is of interest also for patients with type 2 diabetes (T2D). While systems for automated insulin delivery are widely used for patients with type 1 diabetes, as documented by many publications, this is not the case with T2D. Because of the number of such patients, this will change drastically in the next years. Manufacturers can transfer many learnings from type 1 to type 2; however, specific clinical aspects have to be considered. This commentary will discuss these aspects and some of the current activities. Future automated insulin delivery (AID) systems will take data from multisensor systems into account to individualize the AID algorithm, supported by artificial intelligence. There is a high need to document the benefits of AID systems in this patient group.

自动胰岛素输送系统与2型糖尿病患者:一个多方面的话题。
优化血糖控制对2型糖尿病(T2D)患者也很有意义。正如许多出版物所记载的那样,自动胰岛素输送系统被广泛用于1型糖尿病患者,但T2D的情况并非如此。由于此类患者的数量,这种情况将在未来几年发生巨大变化。制造商可以将许多知识从类型1转移到类型2;然而,必须考虑具体的临床方面。本评论将讨论这些方面以及当前的一些活动。未来的自动胰岛素输送(AID)系统将考虑来自多传感器系统的数据,以在人工智能的支持下个性化AID算法。非常需要记录AID系统在这一患者群体中的益处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Diabetes Science and Technology
Journal of Diabetes Science and Technology Medicine-Internal Medicine
CiteScore
7.50
自引率
12.00%
发文量
148
期刊介绍: The Journal of Diabetes Science and Technology (JDST) is a bi-monthly, peer-reviewed scientific journal published by the Diabetes Technology Society. JDST covers scientific and clinical aspects of diabetes technology including glucose monitoring, insulin and metabolic peptide delivery, the artificial pancreas, digital health, precision medicine, social media, cybersecurity, software for modeling, physiologic monitoring, technology for managing obesity, and diagnostic tests of glycation. The journal also covers the development and use of mobile applications and wireless communication, as well as bioengineered tools such as MEMS, new biomaterials, and nanotechnology to develop new sensors. Articles in JDST cover both basic research and clinical applications of technologies being developed to help people with diabetes.
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