Clinical Usage and Potential Benefits of a Continuous Glucose Monitoring Predict App.

IF 4.1 Q2 ENDOCRINOLOGY & METABOLISM

Journal of Diabetes Science and Technology Pub Date : 2024-09-01 Epub Date: 2024-08-19 DOI:10.1177/19322968241268353

Timor Glatzer, Dominic Ehrmann, Bernhard Gehr, Maria Teresa Penalba Martinez, Joannet Onvlee, Gabriela Bucklar, Michèle Hofer, Miriam Stangs, Nora Wolf

引用次数: 0

Abstract

Continuous glucose monitoring (CGM) has become an increasingly important tool for self-management in people with diabetes mellitus (DM). In this paper, we discuss recommendations on how to implement predictive features provided by the Accu-Chek SmartGuide Predict app in clinical practice. The Predict app's features are aimed at ultimately reducing diabetes stress and fear of hypoglycemia in people with DM. Furthermore, we explore the use cases and potential benefits of continuous glucose prediction, predictions of low glucose, and nocturnal hypoglycemia.

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持续葡萄糖监测 Predict 应用程序的临床使用情况和潜在优势。

连续血糖监测（CGM）已成为糖尿病（DM）患者进行自我管理的日益重要的工具。在本文中，我们将讨论如何在临床实践中使用 Accu-Chek SmartGuide Predict 应用程序提供的预测功能的建议。Predict 应用程序的功能旨在最终减轻糖尿病患者的糖尿病压力和对低血糖的恐惧。此外，我们还探讨了连续血糖预测、低血糖预测和夜间低血糖的用例和潜在益处。

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 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.