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Journal article · Conference paper

Early Glycemic Control Assessment Based on Consensus CGM Metrics

From

Department of Health Technology, Technical University of Denmark1

Department of Applied Mathematics and Computer Science, Technical University of Denmark2

Cognitive Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark3

Brain Computer Interface, Digital Health, Department of Health Technology, Technical University of Denmark4

University of Hamburg5

Novo Nordisk Foundation6

Continuous glucose monitoring (CGM) has revolutionized the world of diabetes and transformed the approach to diabetes care. In this context, an expert panel has reached consensus on clinical targets for CGM data interpretation based on eight CGM metrics. At least 70% of 14 consecutive CGM days (referred to as a period) are recommended to assess glycemic control based on the metrics.

In clinical practice less CGM data may be available. Therefore, the primary aim of this study is to explore the ability to recover the consensus metrics utilizing less than 14 days of CGM data (intra-period). As a secondary aim, we investigate the recovery considering two consecutive periods (inter-period).

The analyses are based on real-world CGM data from 484 diabetes users (4726 periods) acquired from the Cornerstones4Care® Powered by Glooko app. Using up to 14 accumulated days, the consensus metrics are calculated for each user and period, and compared to the fully 14 accumulated intra- and inter-period days.

Relatively low deviations were observed for time in range (TIR) and average based metrics when using less than 14 days, however, we observed large deviations in metrics characterizing infrequent events such as time below range (TBR). Furthermore, the consensus metrics obtained in two consecutive 14 day periods have clear discrepancies (inter-period).

Recovering consensus metrics using less than 14 days might still be valuable in terms of interpreting CGM data in certain clinical contexts. However, caution should be taken if treatment decisions would be made with less than 14 days of data on critical metrics such as TBR, since the metrics characterizing infrequent events deviate substantially when less data are available.

Substantial deviation is also seen when comparing across two consecutive periods, which means that care should be taken not to over-generalize consensus metric based glycemic control conclusions from one period to subsequent periods.

Language: English
Publisher: IEEE
Year: 2021
Pages: 1269-1275
Proceedings: 43<sup>rd</sup> Annual International Conference of the IEEE Engineering in Medicine and Biology Society
ISBN: 172811179x , 1728111803 , 9781728111797 , 9781728111803 , 1728111781 , 172811179X and 9781728111780
ISSN: 26940604
Types: Journal article and Conference paper
DOI: 10.1109/EMBC46164.2021.9631015
ORCIDs: Mohebbi, Ali and Morup, Morten

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