Evaluating Insulin Delivery Systems Using Dynamic Glucose Region Plots and Risk Space Analysis

Simultaneous values of glucose rate of change (RoC) and glucose can be presented in a dynamic glucose region plot, and risk spaces can be specified for (RoC, glucose) values expected to remain in the target range (glucose 3.9-10.0 mmol/L) or leave or return to the target range within the next 30 min. We downloaded continuous glucose monitoring (CGM) data for 60 days from persons with type 1 diabetes using two different systems for automated insulin delivery (AID), A (n = 65) or B (n = 85). The relative distribution of (RoC, glucose) values in risk spaces was compared. The fraction of all (RoC, glucose) values anticipated to remain in the target range in the next 30 min was higher with system A (62.5%) than with system B (56.8%) (difference 5.7, 95% CI (2.2-9.2%), <i>p</i> = 0.002). The fraction of (RoC, glucose) values in the target range with a risk of progressing to the above range (glucose > 10.0 mmol/L) was slightly lower in system A than in B (difference -1.1 (95% CI: -1.8--0.5%, <i>p</i> < 0.001). Dynamic glucose region plots and the concept of risk spaces are novel strategies to obtain insight into glucose homeostasis and to demonstrate clinically relevant differences comparing two AID systems.

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Publication Details

Journal
Sensors
Published
2025-08-04
DOI
https://doi.org/10.3390/s25154788
Primary Topic
Diabetes Management and Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Evaluating Insulin Delivery Systems Using Dynamic Glucose Region Plots and Risk Space Analysis

Klavs Würgler Hansen, Ermina Bach, Mia Christensen, Bo Martin Bibby et al.
Sensors
Diabetes Management and Research
article

Evaluating Insulin Delivery Systems Using Dynamic Glucose Region Plots and Risk Space Analysis

Klavs Würgler Hansen, Ermina Bach, Mia Christensen, Bo Martin Bibby, Sanne Fisker
article en

Abstract

Simultaneous values of glucose rate of change (RoC) and glucose can be presented in a dynamic glucose region plot, and risk spaces can be specified for (RoC, glucose) values expected to remain in the target range (glucose 3.9-10.0 mmol/L) or leave or return to the target range within the next 30 min. We downloaded continuous glucose monitoring (CGM) data for 60 days from persons with type 1 diabetes using two different systems for automated insulin delivery (AID), A (n = 65) or B (n = 85). The relative distribution of (RoC, glucose) values in risk spaces was compared. The fraction of all (RoC, glucose) values anticipated to remain in the target range in the next 30 min was higher with system A (62.5%) than with system B (56.8%) (difference 5.7, 95% CI (2.2-9.2%), <i>p</i> = 0.002). The fraction of (RoC, glucose) values in the target range with a risk of progressing to the above range (glucose > 10.0 mmol/L) was slightly lower in system A than in B (difference -1.1 (95% CI: -1.8--0.5%, <i>p</i> < 0.001). Dynamic glucose region plots and the concept of risk spaces are novel strategies to obtain insight into glucose homeostasis and to demonstrate clinically relevant differences comparing two AID systems.

SensorsVol. 25(15)
Aarhus University (DK), Aarhus University Hospital (DK), Regionshospitalet Viborg (DK), Regionshospitalet Silkeborg (DK)
Aarhus Universitet
Openalex Percentile: Top 73%
Diabetes Management and Research
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