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实时动态血糖监测时代的夜间低血糖

Nocturnal Hypoglycemia in the Era of Continuous Glucose Monitoring.

机构信息

Research Institute Diabetes Academy Mergentheim, Bad Mergentheim, Germany.

Diabetes Center Mergentheim, Bad Mergentheim, Germany.

出版信息

J Diabetes Sci Technol. 2024 Sep;18(5):1052-1060. doi: 10.1177/19322968241267823. Epub 2024 Aug 19.

Abstract

Nocturnal hypoglycemia is a common acute complication of people with diabetes on insulin therapy. In particular, the inability to control glucose levels during sleep, the impact of external factors such as exercise, or alcohol and the influence of hormones are the main causes. Nocturnal hypoglycemia has several negative somatic, psychological, and social effects for people with diabetes, which are summarized in this article. With the advent of continuous glucose monitoring (CGM), it has been shown that the number of nocturnal hypoglycemic events was significantly underestimated when traditional blood glucose monitoring was used. The CGM can reduce the number of nocturnal hypoglycemia episodes with the help of alarms, trend arrows, and evaluation routines. In combination with CGM with an insulin pump and an algorithm, automatic glucose adjustment (AID) systems have their particular strength in nocturnal glucose regulation and the prevention of nocturnal hypoglycemia. Nevertheless, the problem of nocturnal hypoglycemia has not yet been solved completely with the technologies currently available. The CGM systems that use predictive models to warn of hypoglycemia, improved AID systems that recognize hypoglycemia patterns even better, and the increasing integration of artificial intelligence methods are promising approaches in the future to significantly minimize the risk of a side effect of insulin therapy that is burdensome for people with diabetes.

摘要

夜间低血糖是接受胰岛素治疗的糖尿病患者常见的急性并发症。特别是,睡眠期间无法控制血糖水平、运动或酒精等外部因素的影响以及激素的影响是主要原因。夜间低血糖对糖尿病患者有几个负面的躯体、心理和社会影响,本文对此进行了总结。随着连续血糖监测(CGM)的出现,当使用传统血糖监测时,夜间低血糖事件的数量被明显低估。CGM 可以借助报警、趋势箭头和评估例程来减少夜间低血糖发作次数。结合胰岛素泵和算法的 CGM,自动血糖调节(AID)系统在夜间血糖调节和预防夜间低血糖方面具有特殊优势。然而,目前的技术还没有完全解决夜间低血糖的问题。使用预测模型来预警低血糖的 CGM 系统、更好地识别低血糖模式的改进型 AID 系统,以及人工智能方法的日益整合,是未来有希望的方法,可以显著降低对糖尿病患者造成负担的胰岛素治疗副作用的风险。

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本文引用的文献

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10
Burden and Coping Strategies of Hypoglycemia in People with Diabetes.糖尿病患者的低血糖负担和应对策略。
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