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Updated: May 29, 2025

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一个基于性能的自动化胰岛素输送系统的适应指数
Jenny L Diaz C1,2, Patricio Colmegna1,3, Elliot Pryor1
1Center for Diabetes Technology, School of Medicine, University of Virginia, Charlottesville, VA, USA.
Journal of diabetes science and technology
|February 6, 2025
概括
基于绩效的适应指数 (PAI) 通过使用持续血糖监测 (CGM) 数据,自动调整自动胰岛素输送 (AID) 的攻击性. 这种工具可以提高1型糖尿病患者的血糖控制.
科学领域:
- 生物医学工程 生物医学工程
- 内分泌学 在内分泌学.
- 糖尿病 技术 技术
背景情况:
- 自动化胰岛素输送系统 (AID) 需要个性化调以获得最佳性能.
- 个人的胰岛素需求各不相同,需要适应性算法.
- 持续血糖监测 (CGM) 为算法调整提供了关键数据.
研究的目的:
- 引入基于绩效的适应指数 (PAI) 来自动调整AID系统的攻击性.
- 为了使AID系统能够适应个别用户的需求和不同的血糖状况.
- 为了改善1型糖尿病管理中的血糖结果.
主要方法:
- 开发了PAI,将低血糖和高血糖CGM指标集成到一个指数中.
- 为PAI提出了两种计算方法:范围内的时间 (TIR) 和血糖风险指数.
- 使用UVA/帕多瓦1型糖尿病模拟器与模型预测控制 (MPC) 算法评估PAI在体中的可行性.
主要成果:
- 在保守的情景中,PAI调整显著改善了时间范围 (TIR) 从35.1%提高到71.8%.
- 在积极的情景中,PAI降低了低血糖暴露率 (TBR从2.6%降至1.4%).
- 在模拟中,PAI证明了UVA-MPC控制器的安全有效的自动调.
结论:
- 通过PAI,可以自动调整AID控制器,从而改善血糖控制.
- 模拟显示PAI可以在各种生理状态下达到TIR>70%.
- 建议进行临床验证,以确认in-silico发现.
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