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治疗设置与t:slim X2与控制智商技术在现实世界临床护理中的最佳结果相关
Laurel H Messer1, Marc D Breton2
1Tandem Diabetes Care, San Diego, California, USA.
Diabetes technology & therapeutics
|September 26, 2023
概括
在t:slim X2中优化胰岛素剂量参数,如校正因子和碳水化合物与胰岛素的比例,与控制IQ (CIQ) 用户显著影响范围内的时间. 用户给出的螺栓是血糖结果最强的预测因素.
科学领域:
- 内分泌学和糖尿病技术 技术
- 代谢调节 代谢调节 代谢调节
- 人工胰腺系统 人工胰腺系统
背景情况:
- 具有Control-IQ (CIQ) 技术的t:slim X2胰岛素自动提供胰岛素,以改善血糖控制.
- 了解特定胰岛素剂量参数的影响对于优化患者的治疗结果至关重要.
- 对胰岛素设置的个性化调整是通过先进的自动化胰岛素输送系统来管理1型糖尿病的关键.
研究的目的:
- 确定与CIQ使用者的最佳血糖控制相关的和可预测的胰岛素剂量参数.
- 分析校正因子,碳水化合物与胰岛素 (C:I) 比率以及基础速率设置对时间范围 (TIR) 和低血糖的影响.
- 确定这些设置和混变量在预测血糖结果中的相对重要性.
主要方法:
- 以CIQ技术对20764名t:slim X2用户的非识别数据进行了回顾性分析.
- 进行了关联分析和线性回归来评估剂量参数的影响 (标准化为每日胰岛素总量[TDI]).
- 在预测模型中包括了诸如年龄和用户启动的球体等混变量.
主要成果:
- 更积极的调整因子和C:I比率设置,以及更高的基准利率,与TIR增加有关.
- 更积极的校正因子设置预测了更高的TIR和更低的变化系数,对低血糖的影响最小.
- 较高的基数率和较低的C:I比率增加了TIR和低血糖;用户每天给予的玻尿酸是血糖结果最重要的预测因素.
结论:
- 基本率,C:I比率和校正因子设置都会影响CIQ使用者的血糖控制.
- 校正因子设置似乎是临床医生和用户优化TIR而不会增加低血糖的最有效参数.
- 个性化调整胰岛素剂量参数,特别是校正因子,对于最大限度地发挥CIQ技术的好处至关重要.
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