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两个商用智能手机应用程序的碳水化合物估计准确度与1型糖尿病患者的估计:一项比较研究
Michelle Baumgartner1,2, Christian Kuhn1, Christos T Nakas3,4
1Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Journal of diabetes science and technology
|July 26, 2024
概括
与患者估计和Calorie Mama相比,SNAQ应用程序在估计食碳水化合物含量方面显示出更高的准确性. 这种工具可以帮助1型糖尿病患者管理胰岛素输送.
科学领域:
- 糖尿病 技术 技术
- 医疗保健中的人工智能
- 营养科学 营养科学
背景情况:
- 准确的碳水化合物计数对于在1型糖尿病 (T1D) 中的饮食时间胰岛素剂量至关重要.
- 现有的糖尿病管理系统通常依赖于手动碳水化合物估计.
- 智能手机应用程序提供了一个潜在的解决方案,以提高碳水化合物估计的准确性.
研究的目的:
- 评估两个商业碳水化合物估计应用程序SNAQ和卡路里的准确性.
- 将这些应用程序的性能与T1D患者的手动碳水化合物估计进行比较.
主要方法:
- 53名T1D患者估计碳水化合物含量为26餐.
- 碳水化合物估计是手动进行的,并使用SNAQ和Calorie Mama应用程序.
- 精度是根据基准碳水化合物含量的偏差来确定的.
主要成果:
- SNAQ显示了最高的准确性,平均绝对误差为13.1 ± 11.3 g.
- 患者估计的平均绝对误差为21 ± 21.5 g,而热量的平均误差为24 ± 36.5 g.
- 两种方法之间的错误一致性没有发现显著差异.
结论:
- 在T1D管理中,SNAQ应用显示出作为碳水化合物估计的有效工具的潜力.
- 对于那些碳水化合物估计有重大或不一致的错误的人来说,该应用程序可能特别有益.
- 需要进一步的研究来评估SNAQ对血糖控制的影响.
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