Manuela Link, Manuel Eichenlaub, Delia Waldenmaier, Stephanie Wehrstedt, Stefan Pleus, Nina Jendrike, Sükrü Öter, Cornelia Haug, Stefanie Hossmann, Martina Rothenbühler, Derek Brandt, Guido Freckmann
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引用次数: 0
Abstract
Background: In continuous glucose monitoring (CGM) system performance studies, it is common to implement specific procedures for manipulating the participants' blood glucose (BG) levels during the collection of comparator BG measurements. Recently, such a procedure was proposed by a group of experts, and this study assessed its ability to produce combinations of BG levels and rates of change (RoCs) with certain characteristics.
Methods: During three separate in-clinic sessions conducted over 15 days, capillary BG measurements were carried out every 15 minutes for 7 hours. Simultaneously, the participants' BG levels were manipulated by controlling food intake and insulin administration to induce transient hyperglycemia and hypoglycemia. Subsequently, the combinations of BG levels and RoCs were categorized into dynamic glucose regions distinguishing between rapidly increasing BG levels (Alert high), hyperglycemia (BG high), rapidly falling BG levels (Alert low), and hypoglycemia (BG low).
Results: A total of 24 adult participants with type 1 diabetes were included. Capillary BG-RoC combinations showed 7.5% in the Alert high region, 13.3% in the BG high region, 9.8% in the Alert low region, and 11.0% in the BG low region. No adverse events related to the glucose manipulation procedure were documented.
Conclusions: As recommended by the experts, the percentage of data points in regions was ≥7.5%, demonstrating the procedure's feasibility. However, given that the recommendation for the alert high region was only barely achieved, we suggest optimizations to the procedure and definition of dynamic glucose regions to facilitate the procedures' adoption in standardized CGM performance evaluations.
期刊介绍:
The Journal of Diabetes Science and Technology (JDST) is a bi-monthly, peer-reviewed scientific journal published by the Diabetes Technology Society. JDST covers scientific and clinical aspects of diabetes technology including glucose monitoring, insulin and metabolic peptide delivery, the artificial pancreas, digital health, precision medicine, social media, cybersecurity, software for modeling, physiologic monitoring, technology for managing obesity, and diagnostic tests of glycation. The journal also covers the development and use of mobile applications and wireless communication, as well as bioengineered tools such as MEMS, new biomaterials, and nanotechnology to develop new sensors. Articles in JDST cover both basic research and clinical applications of technologies being developed to help people with diabetes.