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定义持续的葡萄糖基线,以评估营养干预措施的影响
Célina Chkroun1, Inez Trouwborst2, Anna Cherta-Murillo2
1Clinical Research Unit, Nestlé Research, Lausanne, Switzerland.
Frontiers in nutrition
|August 17, 2023
概括
这项研究引入了一种使用持续葡萄糖监测 (CGM) 数据估计基础葡萄糖水平的新方法. 第40百分位数算法为营养研究提供了可靠的24小时连续葡萄糖基线 (24h-CGB).
科学领域:
- 营养科学 营养科学
- 生物医学工程 生物医学工程
- 内分泌学 在内分泌学.
背景情况:
- 在营养研究中,估计基底葡萄糖水平至关重要.
- 目前的方法依赖于有限的禁食样本,缺乏稳定性.
- 持续葡萄糖监测 (CGM) 提供了改善基础葡萄糖评估的潜力.
研究的目的:
- 通过使用CGM数据,定义一种标准化和可靠的算法,用于在24小时内估计基础葡萄糖水平.
- 为了建立一个可靠的基底葡萄糖测量,适用于一天中的任何时间.
主要方法:
- 利用了健康成年人的四项营养干预研究的数据.
- 开发了一种使用24小时CGM数据的第40百分位数算法来估计基础葡萄糖.
- 验证了算法与标准的禁食葡萄糖测量.
主要成果:
- 第40个百分位数算法,称为24小时连续葡萄糖基线 (24h-CGB),准确地估计了基础葡萄糖.
- 24小时CGB与标准禁食葡萄糖的相关性很高 (r=0.86,p<0.01).
- 该方法是无偏见的,并且坚固地适应日常日常的变化.
结论:
- 24h-CGB算法提供了基础葡萄糖水平的可靠,非禁食估计.
- 这种方法是可适应的,为非糖尿病人的营养干预研究提供了更强大的参考.
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