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-suspend and generation 2 hybrid closed-loop systems improve glycated haemoglobin concentrations, time in target range, and time below target range in children, adolescents, and adults.
“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]
The Results (‘Impact of initiating AHCL’; page unavailable) report that, among 812 users, MiniMed 780G initiation lowered GMI and time below range and increased time in range. This supports the hybrid closed-loop portion of the claim, but GMI is an estimate rather than a measured glycated haemoglobin concentration. The paper also does not report these changes specifically for adults; the low-glucose-suspend portion carries a different citation. (LLM, conf=0.86)
Experimental — accuracy not yet measuredAdvanced hybrid closed-loop systems continuously adjust basal insulin delivery every five minutes based on real-time continuous glucose monitoring data and automatically administer correction boluses in response to hyperglycemia, facilitating maintenance of glucose levels near predefined targets.
“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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Seget, S., Rusak, E., Polańska, J., & Jarosz-Chobot, P. A. (2022) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2022.0148 · Cited by 22 · see citing works
McCarthy, O. M., Christensen, M. B., Kristensen, K. B., Schmidt, S., Ranjan, A. G., Bain, S. C., Bracken, R. M., & Nørgaard, K. (2023) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.0009 · Cited by 23 · see citing works
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Self-citationCYRANKA, K. M., Matejko, B., Juza, A., Kieć‐Wilk, B., Krzyżowska, S., Cohen, O., Silva, J. D., Lushchyk, M. L., Malecki, M. T., & Klupa, T. (2022) · JMIR Formative Research · doi:10.2196/43535 · Cited by 22 · see citing works
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Development and Future of Automated Insulin Delivery (AID) Systems
Garg, S. K., & MCVEAN, J. J. F. (2024) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.0467 · Cited by 23 · see citing works
Elbarbary, N. S., & Ismail, E. A. R. (2023) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-023-01184-w · Cited by 20 · see citing works
MiniMed TM 780G Advanced Hybrid Closed-Loop System Study in Pregnant Women with Type 1 Diabetes
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Bahillo-Curieses, P., Fernández-Velasco, P., Pérez-López, P., Martínez, A. M. V., de la Marca, M. D. L. O. N., & Díaz-Soto, G. (2024) · Endocrine · doi:10.1007/s12020-024-03881-6 · Cited by 22 · see citing works
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Self-citationClosed-Loop and Artificial Intelligence–Based Decision Support Systems
Nimri, R., Phillip, M., & Kovatchev, B. P. (2023) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.2505 · Cited by 19 · see citing works
Eviz, E., Mutlu, G. Y., Karakus, K. E., Can, E., Gökçe, T., Muradoğlu, S., & Hatun, Ş. (2023) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.0112 · Cited by 19 · see citing works
Reducing Diabetes Burden in Medtronic's Automated Insulin Delivery Systems
Forlenza, G. P., Dai, Z., Niu, F., & Shin, J. (2024) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.0459 · Cited by 20 · see citing works
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McCarthy, O. M., Christensen, M. B., Kristensen, K. B., Schmidt, S., Ranjan, A. G., Bain, S. C., Bracken, R. M., & Nørgaard, K. (2023) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2022.0542 · Cited by 17 · see citing works
Shannon, N., Castañeda, J., Choudhary, P., Kolassa, R., Keuthage, W., Kroeger, J., Thivolet, C. H., Evans, M. L., Ré, R., Cellot, J., et al. (2023) · Diabetes Obesity and Metabolism · doi:10.1111/dom.15217 · Cited by 18 · see citing works
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Automated Insulin Delivery: A Milestone on the Road to Insulin Independence in Type 1 Diabetes
Limbert, C., Kowalski, A. J., & Danne, T. (2024) · Diabetes Care · doi:10.2337/dci24-0007 · Cited by 16 · see citing works
Amigó, J., Ortiz-Zúñiga, Á., de Urbina, A. M. O., Sánchez, M., Dos-Santos, M., Abad, M., Cuadra, F., Simó, R., Hernández, C., & Simó-Servat, O. (2023) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2023.110730 · Cited by 15 · see citing works
Gardner, D. S.-L., Lakkad, M., Qiu, Z., Inoue, Y., CHANDRAN, S. R., & Wherry, K. (2024) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.0455 · Cited by 16 · see citing works
Mameli, C., Smylie, G. M., Galati, A., Rapone, B., Cardona‐Hernandez, R., Zuccotti, G., & Delvecchio, M. (2023) · European Journal of Pediatrics · doi:10.1007/s00431-023-04833-4 · Cited by 15 · see citing works
Kesavadev, J., Basanth, A., Krishnan, G., Shankar, A., Sanal, G., & Jothydev, S. (2023) · Diabetes Therapy · doi:10.1007/s13300-023-01427-z · Cited by 16 · see citing works
Real-World Diabetes Technology: Overcoming Barriers and Disparities
Messer, L. H., Addala, A., & WEINZIMER, S. A. (2023) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.2511 · Cited by 14 · see citing works
Commercial hybrid closed-loop systems available for a patient with type 1 diabetes in 2022
Seget, S., Tekielak, A., Rusak, E., & Jarosz-Chobot, P. A. (2023) · Pediatric Endocrinology Diabetes and Metabolism · doi:10.5114/pedm.2023.126359 · Cited by 14 · see citing works
Malone, S. K., MATUS, A. M., Flatt, A. J., Peleckis, A. J., Grunin, L., Yu, G., Jang, S., Weimer, J. E., Lee, I., Rickels, M. R., et al. (2023) · Journal of Diabetes Science and Technology · doi:10.1177/19322968231182406 · Cited by 14 · see citing works
An Automated Insulin Delivery System with Automatic Meal Bolus Based on a Hand-Gesturing Algorithm
Roy, A., Grosman, B., Benedetti, A., Engheta, B., Miller, D. M., Laron-Hirsh, M., Cohen, Y. C., Ré, R., Edd, S. N., Vigersky, R. A., et al. (2024) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.0529 · Cited by 14 · see citing works
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Herguido, N. G., Amuedo, S., Bellido, V., Gallardo, G. L., Losada, F., Pérez-Morales, A., Trillo, C. A. R., & Moreno, A. S. (2022) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2022.0287 · Cited by 13 · see citing works
(Hybrid) Closed-Loop Systems: From Announced to Unannounced Exercise
Zimmer, R. T., Auth, A., Schierbauer, J., Haupt, S., Wachsmuth, N. B., Zimmermann, P., Voit, T., Battelino, T., Sourij, H., & Moser, O. (2023) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.0293 · Cited by 15 · see citing works
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Self-citationAdvances in Automated Insulin Delivery with the Medtronic 780G: The Australian Experience
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Blood glucose monitoring devices: current considerations
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Simplified Meal Management in Adults Using an Advanced Hybrid Closed-Loop System
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Jurado, A. L., Gómez‐Perea, A., Jiménez, A. B. A., Tapia‐Ceballos, L., Becerra‐Paz, I., Lirio, M. F. M., Jabato, F. M., & Gea, I. L. (2023) · Journal of Diabetes · doi:10.1111/1753-0407.13426 · Cited by 10 · see citing works
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- 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 · 2021: 1
- 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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