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在2型糖尿病患者中有效启动胰岛素治疗的智能算法:一项in silico研究
Jacopo Bonet1, Roberto Visentin1, Chiara Dalla Man1
1Department of Information Engineering, University of Padua, Padova, Italy.
Journal of diabetes science and technology
|April 22, 2024
概括
新的智能基础胰岛素定位算法有助于高胰岛素需求的胰岛素原始型2型糖尿病 (T2D) 患者更快地达到最佳胰岛素剂量. 这些先进的方法可以改善血糖控制和时间范围,而不会增加低血糖风险.
科学领域:
- 内分泌学 在内分泌学.
- 代谢疾病 代谢疾病
- 药理学 药理学是指药理学的学科.
背景情况:
- 2型糖尿病 (T2D) 的管理包括基础胰岛素定位,通常从低初始胰岛素剂量 (IID) 开始.
- 目前美国糖尿病协会 (ADA) 的指导方针建议每周或每两周根据禁食血葡萄糖 (FPG) 进行调整.
- 达到最佳胰岛素剂量 (OID) 可能是缓慢的,特别是对于高胰岛素需求 (HIN) 的人来说.
研究的目的:
- 开发和评估一个快速,有效和安全的胰岛素定位算法,用于胰岛素原始的T2D受试者与HIN.
- 将新的算法与标准的定位协议进行比较.
主要方法:
- 模拟了300名未使用胰岛素的T2D患者,使用in silico模型.
- 使用后勤回归,将受试者分为HIN或低胰岛素需求 (LIN) 组.
- 应用了标准的IID,一个更具攻击性的SMART-IID,以及两个持续血糖监测 (CGM) 引导的算法 (CGM-BASED和SMART-CGM-BASED).
主要成果:
- 新的定位算法显著加速了HIN受试者在OID的实现.
- 在最初的几个月内,观察到范围内时间 (TIR) 的改善和范围以上时间 (TAR) 的减少.
- 没有检测到临床上显著增加低血糖风险.
结论:
- 与标准指南相比,智能基础胰岛素定位算法为没有胰岛素的T2D患者提供了更快的OID途径.
- 这些算法增强了血糖控制,改善了TIR和减少了TAR.
- 保持了患者的安全性,没有增加低血糖的风险.
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