Evidence map›Paper›PMID 42630180›Full record

ArticleFrontiers in endocrinology2026

Insulin delivery characteristics and glycemic control in older adults with type 1 diabetes using the Minimed™ 780G system: a real-world analysis.

Špela Volčanšek, Petra Vidmar, Andrej Janež, Aleš Skvarča

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Article in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Špela VolčanšekUniversity Medical Centre Ljubljana, Department of Endocrinology, Diabetes and Metabolic Diseases, Ljubljana, Slovenia.
Petra VidmarUniversity Medical Centre Ljubljana, Department of Endocrinology, Diabetes and Metabolic Diseases, Ljubljana, Slovenia.
Andrej JanežUniversity Medical Centre Ljubljana, Department of Endocrinology, Diabetes and Metabolic Diseases, Ljubljana, Slovenia.
Aleš SkvarčaUniversity Medical Centre Ljubljana, Department of Endocrinology, Diabetes and Metabolic Diseases, Ljubljana, Slovenia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Diabetes Mellitus, Type 1Glycemic ControlHypoglycemic AgentsInsulinInsulin Infusion SystemsAgedAlgorithmsBlood GlucoseBlood Glucose Self-MonitoringContinuous Glucose MonitoringFemaleHumansMaleMiddle AgedRetrospective StudiesBlood GlucoseHypoglycemic AgentsInsulinadvanced technologiesautomated insulin deliveryhypoglycemiaindividualized careolder adultsreal-world datatime in tight rangetype 1 diabetes

Identifiers

PMID42630180
PMCPMC13493288

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.