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Real-World Performance of the MiniMed™ 780G System: First Report of Outcomes from 4120 Users
Open accessAbstract
Background: The MiniMed™ 780G system includes an advanced hybrid closed loop (AHCL) algorithm that provides both automated basal and correction bolus insulin delivery. The preliminary performance of the system in real-world settings was evaluated. Methods: Data uploaded from August 2020 to March 2021 by individuals living in Belgium, Finland, Italy, the Netherlands, Qatar, South Africa, Sweden, Switzerland, and the United Kingdom were aggregated and retrospectively analyzed to determine the mean glucose management indicator (GMI), percentage of time spent within (TIR), below (TBR), and above (TAR) glycemic ranges, system use, and insulin consumption in users having ≥10 days of sensor glucose (SG) data after initiating AHCL. The impact of initiating AHCL was evaluated in a subgroup of users also having ≥10 days of SG data, before AHCL initiation. Results: Users ( N = 4120) were observed for a mean of 54 ± 32 days. During this time, they spent a mean of 94.1% ± 11.4% of the time in AHCL and achieved a mean GMI of 6.8% ± 0.3%, TIR of 76.2% ± 9.1%, TBR <70 of 2.5% ± 2.1%, and TAR >180 of 21.3% ± 9.4%, after initiating AHCL. There were 77.3% and 79.0% of users who achieved a TIR >70% and a GMI of <7.0%, respectively. Users for whom comparison with pre-AHCL was possible ( N = 812) reduced their GMI by 0.4% ± 0.4% ( P = 0.005) and increased their TIR by 12.1% ± 10.5% ( P < 0.0001), post-AHCL initiation. More users achieved the glycemic treatment goals of GMI <7.0% (37.6% vs. 75.2%, P < 0.0001) and TIR >70% (34.6% vs. 74.9%, P < 0.0001) when compared with pre-AHCL initiation. Conclusion: Most MiniMed 780G system users achieved TIR >70% and GMI <7%, while minimizing hypoglycemia, in a real-world condition.
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“Both generation 1 low-glucose-suspend33 and generation 2 hybrid closed-loop systems improve glycated haemoglobin concentrations, the time in target range and the time below target range in children, adolescents34 and adults.35-37”
From Blood glucose monitoring devices: current considerations (2023) · cites this paper as [37]
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“AHCL systems continuously adjust basal insulin delivery every five minutes based on real‐time continuous glucose monitoring (CGM) data and automatically administer correction boluses in response to hyperglycemia, thereby facilitating the maintenance of glucose levels near predefined targets 8 .”
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Metadata
- Authors
- Silva, J. D., Lepore, G., Battelino, T., Arrieta, A., Castañeda, J., Grossman, B., Shin, J., & Cohen, O.
- Affiliations
- Medtronic (Switzerland) (CH)
- Ospedale Papa Giovanni XXIII (IT)
- University of Ljubljana (SI)
- Medtronic (Netherlands) (NL)
- Medtronic, Northridge, California, USA.
- Medtronic (United States) (US)
- Corresponding author
- Cohen, Ohad
- Venue
- Diabetes Technology & Therapeutics
- Publisher
- SAGE Publications
- Published
- 2022-01-31
- Volume
- 24
- Issue
- 2
- Pages
- 113-119
- ISSN
- 1520-9156 (ISSN-L)
- 1557-8593
- PMC
- PMC8817690
- OpenAlex
- W3201039184
- Cited by
- 229
- References
- 26
- Citations by year
- 2026: 29 · 2025: 35 · 2024: 61 · 2023: 67 · 2022: 36
- FWCI
- 30.80
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Diabetes Technology & Therapeutics (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Keywords
- MiniMed 780G, hybrid closed-loop insulin delivery, type 1 diabetes, real-world performance, glucose management indicator, time in range, glycemic control, continuous glucose monitoring
- MeSH terms
- Blood Glucose, Diabetes Mellitus, Type 1, Humans, Hypoglycemic Agents, Insulin, Insulin Infusion Systems, Retrospective Studies, Blood Glucose Self-Monitoring
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