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Nocturnal Hypoglycemia in the Era of Continuous Glucose Monitoring
Kulzer, Bernhard; Freckmann, Guido; Ziegler, Ralph; u. a. (2026): Nocturnal Hypoglycemia in the Era of Continuous Glucose Monitoring, in: Bamberg: Otto-Friedrich-Universität, S. 1052–1060.
Faculty/Chair:
Publisher Information:
Year of publication:
2026
Pages:
Source/Other editions:
Journal of Diabetes Science and Technology, London: Sage, 2024, Jg. 18, Nr. 5, S. 1052–1060, ISSN: 1932-2968
Year of first publication:
2024
Language:
English
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.
Keywords: ; ; ;
diabetes
nocturnal hypoglycemia
continuous glucose monitoring
predictive models
Peer Reviewed:
Yes:
International Distribution:
Yes:
Open Access Journal:
Yes:
Type:
Article
Activation date:
February 20, 2026
Permalink
https://fis.uni-bamberg.de/handle/uniba/113063