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预测性低血糖暂停泵技术在预防1型糖尿病患者低血糖方面的有效性:使用DIA:CONN G8的真实世界数据

Effectiveness of Predicted Low-Glucose Suspend Pump Technology in the Prevention of Hypoglycemia in People with Type 1 Diabetes Mellitus: Real-World Data Using DIA:CONN G8.

作者信息

Yoo Jee Hee, Kim Ji Yoon, Kim Jae Hyeon

机构信息

Division of Endocrinology and Metabolism, Department of Internal Medicine, Chung-Ang University Gwangmyeong Hospital, Chung-Ang University College of Medicine, Gwangmyeong, Korea.

Division of Endocrinology and Metabolism, Department of Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea.

出版信息

Diabetes Metab J. 2025 Jan;49(1):144-149. doi: 10.4093/dmj.2024.0039. Epub 2024 Aug 28.

Abstract

We evaluated the effectiveness of the predictive low-glucose suspend (PLGS) algorithm in the DIA:CONN G8. Forty people with type 1 diabetes mellitus (T1DM) who used a DIA:CONN G8 for at least 2 months with prior experience using pumps without and with PLGS were retrospectively analyzed. The objective was to assess the changes in time spent in hypoglycemia (percent of time below range [%TBR]) before and after using PLGS. The mean age, sensor glucose levels, glucose threshold for suspension, and suspension time were 31.1±22.8 years, 159.7±23.2 mg/dL, 81.1±9.1 mg/dL, and 111.9±79.8 min/day, respectively. Overnight %TBR <70 mg/dL was significantly reduced after using the algorithm (differences=0.3%, from 1.4%±1.5% to 1.1%±1.2%, P=0.045). The glycemia risk index (GRI) improved significantly by 4.2 (from 38.8±20.9 to 34.6±19.0, P=0.002). Using the PLGS did not result in a change in the hyperglycemia metric (all P>0.05). Our findings support the PLGS in DIA:CONN G8 as an effective algorithm to improve night-time hypoglycemia and GRI in people with T1DM.

摘要

我们评估了预测性低血糖暂停(PLGS)算法在DIA:CONN G8中的有效性。对40名1型糖尿病(T1DM)患者进行了回顾性分析,这些患者使用DIA:CONN G8至少2个月,且有过不使用和使用PLGS的泵治疗经验。目的是评估使用PLGS前后低血糖持续时间(低于范围的时间百分比[%TBR])的变化。平均年龄、传感器血糖水平、暂停的血糖阈值和暂停时间分别为31.1±22.8岁、159.7±23.2mg/dL、81.1±9.1mg/dL和111.9±79.8分钟/天。使用该算法后,夜间%TBR<70mg/dL显著降低(差异=0.3%,从1.4%±1.5%降至1.1%±1.2%,P=0.045)。血糖风险指数(GRI)显著改善了4.2(从38.8±20.9降至34.6±19.0,P=0.002)。使用PLGS并未导致高血糖指标发生变化(所有P>0.05)。我们的研究结果支持DIA:CONN G8中的PLGS作为一种有效算法,可改善T1DM患者的夜间低血糖和GRI。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e30/11788546/ca4d57b885d0/dmj-2024-0039f1.jpg

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