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来自同一连续血糖监测传感器的葡萄糖值在不同代算法读取器之间显著不同
Naru Babaya1, Shinsuke Noso2, Yoshihisa Hiromine2
1Department of Endocrinology, Metabolism and Diabetes, Faculty of Medicine, Kindai University, 377-2 Ohno-higashi, Osaka-sayama, Osaka, 589-8511, Japan. babaya@med.kindai.ac.jp.
Scientific reports
|March 1, 2024
概括
持续血糖监测 (CGM) 设备算法显著影响读数. 较新的FreeStyle Libre代相比较旧的代表现出较高的葡萄糖值和较短的时间下限,需要个性化数据解释.
科学领域:
- 糖尿病 技术 技术
- 代谢监测 代谢监测
- 临床生物统计学
背景情况:
- 持续血糖监测 (CGM) 系统对于糖尿病管理至关重要.
- 在CGM设备中的不同算法,即使使用相同的传感器,也可以影响葡萄糖读数.
- 了解这些算法差异对于准确的血糖评估至关重要.
研究的目的:
- 为了比较第一代 (1st-gen-libre) 和第三代 (3rd-gen-libre) FreeStyle Libre 系统中的 CGM 值.
- 评估不同内部算法的对葡萄糖读数和衍生指标的影响.
- 评估CGM数据与不同设备代的糖化血红蛋白 (HbA1c) 之间的相关性.
主要方法:
- 利用了来自13名糖尿病患者的19,819个配对,同时的CGM读数.
- 比较CGM值和时间在第1代自由和第3代自由之间.
- 开发了回归方程,以将代际CGM值与HbA1c相关联.
主要成果:
- 第三代自由的CGM平均值显著更高 (P < 0.0001).
- 低于范围的时间 (<70 mg/dL) 与第三代自由 (P < 0.0001) 显着较低.
- 在第1代自由值和第3代自由值 (y = 0.9728x + 10.024) 之间发现了强烈的相关性 (P < 0.0001).
- 转换的第三代自由数据表明,与日本人口的实验室测量HbA1c相比,葡萄糖管理指标的潜在低估 (y = 0.02628x + 3.233).
结论:
- 来自同一传感器的葡萄糖值根据CGM设备的算法有显著差异.
- 来自CGM的指数可能需要针对每个特定设备代进行个性化.
- 由于算法变化,目前的葡萄糖管理指标可能需要对特定人群进行重新评估.
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