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Title:Insulin delivery characteristics and glycemic control in older adults with type 1 diabetes using the Minimed™ 780G system : a real-world analysis
Authors:ID Volčanšek, Špela (Author)
ID Vidmar, Petra (Author)
ID Janež, Andrej (Author)
ID Skvarča, Aleš (Author)
Files:.pdf PDF - Presentation file, download (2,38 MB)
MD5: 9F27D44220B3F8C1DD688E52521F5EF9
 
URL URL - Source URL, visit https://www.frontiersin.org/journals/endocrinology/articles/10.3389/fendo.2026.1910192/full
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo UKC LJ - Ljubljana University Medical Centre
Abstract:Introduction: Diabetes self-management in older adults with type 1 diabetes (T1D) presents a unique clinical challenge, since maintaining tight glycemic control must be carefully weighed against age-related vulnerabilities. This study aimed to analyze glycemic control through the effects of customized algorithm settings in a cohort of older adults with T1D using an automated insulin delivery (AID) system. Methods: This retrospective real-world data analysis included users of the MiniMed™ 780G AID system, aged ≥60 years. Continuous glucose monitoring (CGM) data including time in range (TIR; 70–180 mg/dL; 3.9–10.0 mmol/L), time in tight range (TITR; 70–140 mg/dL; 3.9–7.8 mmol/L), time below range (TBR; <70 mg/dL; <3.9 mmol/L), level 2 TBR (<54 mg/dL; <3.0 mmol/L) and time above range (TAR; >180 mg/dL; >10.0 mmol/L) were analyzed alongside algorithm settings and daily insulin use. Group comparisons utilized standard parametric and non-parametric statistical tests. A multivariable logistic regression model identified independent clinical predictors of high glycemic performance (TITR ≥50%). Results: The cohort comprised 97 AID users (70.1% female, mean age 67.9 ± 6.7; range 60–90 years). Overall glycemic control was good, with mean TIR 76.1%, TITR 51.1% and TBR 1.1%. Fourteen participants (14.4%) used the manufacturer’s recommended optimal settings (ROS); i.e., target glucose of 5.5 mmol/L and active insulin time of 2 hours. CGM metrics did not differ between ROS and non-ROS users for TIR, TITR and TBR. When stratifying the cohort by glycemic performance, 55 participants (56.7%) reached TITR ≥50%; however, the adoption of ROS in high (≥50%) TITR and lower (<50%) TITR subgroups was similar (16.4% vs 11.9%; Fisher p=0.58). When compared to the lower TITR subgroup, participants in the high TITR subgroup delivered less auto-correction insulin (14.2% vs 20.6%, p<0.001) and a higher proportion of manual bolus insulin (46.1% vs 35.2%, p<0.001), which remained a significant predictor of high TITR after multivariable adjustment. TBR was significantly higher in the high (≥50%) TITR subgroup, although it remained low in absolute terms (1.5% vs. 0.8%; p=0.017). Conclusion: While the MiniMed™ 780G AID system use is associated with low CGM-derived hypoglycemia exposure and highly effective glycemic control, regardless of customized settings, superior glycemic control is associated with a higher proportion of user-initiated manual boluses. The algorithm supports, but cannot replace, user engagement.
Keywords:type 1 diabetes, automated insulin delivery, advanced technologies
Publication status:Published
Publication version:Version of Record
Year of publishing:2026
Number of pages:str. 1-9
Numbering:Vol. 17
PID:20.500.12556/DiRROS-31854 New window
UDC:616.379
ISSN on article:1664-2392
DOI:10.3389/fendo.2026.1910192 New window
COBISS.SI-ID:287200259 New window
Note:Nasl. z nasl. zaslona; Opis vira z dne 7. 8. 2026;
Publication date in DiRROS:12.08.2026
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Downloads:25
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Record is a part of a journal

Title:Frontiers in endocrinology
Publisher:Frontiers Research Foundation
ISSN:1664-2392
COBISS.SI-ID:3340154 New window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:sladkorna bolezen tipa 1, avtomatizirano dajanje insulina, napredne tehnologije


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