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. 2025 Jun 28:19322968251345837.
doi: 10.1177/19322968251345837. Online ahead of print.

Observational Study of the Impact of Infusion Set Replacement in Insulin Pump Users on Glycemic Management

Affiliations

Observational Study of the Impact of Infusion Set Replacement in Insulin Pump Users on Glycemic Management

Kai Yoshimura et al. J Diabetes Sci Technol. .

Abstract

Background: Although several studies have evaluated the impact of prolonged infusion set use in insulin pump users on glycemic management with the use of continuous glucose monitoring (CGM), real-world assessments without intervention have been unavailable.

Methods: This retrospective observational study recruited individuals with type 1 diabetes who received insulin pump therapy with real-time CGM. Insulin pump and CGM logs were extracted from the Medtronic CareLink system, and a dataset was constructed programmatically, counting tracking days from infusion set replacement every 24 hours up to day 4. The primary outcome was mean sensor glucose (SG) level, and the impact of infusion set usage duration on glycemic management was assessed.

Results: The study enrolled 45 individuals with a median age of 40 (interquartile range = 32-51) years and median body mass index of 22.5 (21.2-23.8) kg/m². Mean SG was significantly higher on day 4 (median of 151.9 [136.5-173.7] mg/dL) than on day 2 (144.4 [124.0-162.9] mg/dL, P = .024). Similarly, time above range (TAR), time in range (TIR), and time in tight range (TITR) had worsened on day 4 compared with day 2. The TAR increased from a median of 22.0% (7.3%-35.8%) on day 2 to 27.6% (17.7%-44.9%) on day 4, whereas TIR decreased from 74.2% (59.9%-87.1%) to 66.5% (52.0%-79.8%) and TITR decreased from 47.6% (37.1%-67.5%) to 42.2% (34.6%-54.1%).

Conclusions: Our evaluation of the real-world impact of prolonged infusion set use revealed an association between longer use and worsening of glycemic management.

Keywords: continuous glucose monitoring; infusion set; insulin pump therapy; observational study; type 1 diabetes.

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Conflict of interest statement

The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: W.O. has received lecture fees from Nippon Boehringer Ingelheim Co Ltd, Sumitomo Pharma Co Ltd, and Novo Nordisk Pharma Ltd; research expenses (including for contracted research, joint research, and clinical trials) and grants from Abbott Diabetes Care UK Ltd, Eli Lilly Japan K.K., Nippon Boehringer Ingelheim Co Ltd, Novo Nordisk Pharma Ltd, Noster Inc, Teijin Pharma Ltd, and Sumitomo Pharma Co Ltd; and scholarship donations from Sumitomo Pharma Co Ltd, Teijin Pharma Ltd, and Takeda Pharmaceutical Co Ltd. Y.H. has received lecture fees from Eli Lilly Japan K.K., Sanofi, Terumo Corp, Sumitomo Pharma Co Ltd, Novo Nordisk Pharma Ltd, and Abbott Japan LLC; research expenses (including for contracted research, joint research, and clinical trials) and grant from Sumitomo Pharma Co Ltd, Kyowa Kirin Co Ltd, Medtronic Japan Co Ltd, and Nippon Boehringer Ingelheim Co Ltd; and scholarship donations from Abbott Japan LLC. All remaining authors declare that there is no conflict of interest.

Figures

Figure 1.
Figure 1.
Overview of data analysis workflow. Abbreviation: rtCGM, real-time continuous glucose monitoring.
Figure 2.
Figure 2.
Derivation of the study population. Abbreviation: T1D, type 1 diabetes; rtCGM, real-time continuous glucose monitoring.
Figure 3.
Figure 3.
Changes in continuous glucose monitoring metrics and insulin dose across different days of infusion set wear: (a) mean sensor glucose, (b) standard deviation (SD) of sensor glucose, (c) coefficient of variation (%CV), (d) total daily dose of insulin (TDD), (e) time above range (TAR), (f) time in range (TIR), (g) time in tight range (TITR), and (h) time below range (TBR). Data are presented as box-and-whisker plots, with the boxes indicating median and upper and lower quartile values and the whiskers indicating the range excluding outliers. Outliers are defined as data points beyond 1.5 times the interquartile range from the upper or lower quartiles and are shown as individual points. *P < .05 (post hoc analysis).
Figure 4.
Figure 4.
The median and interquartile range of the hyperglycemia component and hypoglycemia component on days 1, 2, 3, and 4: (a) all participants, (b) the hemoglobin A1c ≥7% group, and (c) the hemoglobin A1c <7% group. Zones A to E were defined based on a previously published study. Abbreviation: GRI, glycemia risk index.
Figure 5.
Figure 5.
Changes in continuous glucose monitoring metrics and insulin dose across different days of infusion set wear stratified by hemoglobin A1c level (≥7% [shaded boxes] vs <7% [open boxes]): (a) mean sensor glucose, (b) standard deviation (SD) of sensor glucose, (c) coefficient of variation (%CV), (d) total daily dose of insulin (TDD), (e) time above range (TAR), (f) time in range (TIR), (g) time in tight range (TITR), and (h) time below range (TBR). Data are presented as box-and-whisker plots, with the boxes indicating median and upper and lower quartile values and the whiskers indicating the range excluding outliers. Outliers are defined as data points beyond 1.5 times the interquartile range from the upper or lower quartiles and are shown as individual points. *P < .05 (post hoc analysis).

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