Minimed Medtronic 780G optimizes glucose control in patients with type 1 diabetes mellitus

Pintaudi, Basilio; Gironi, Ilaria; Riccardo, Nicosia; Meneghini, Elena; Disoteo, Olga; Mion, Elena; Bertuzzi, Federico

doi:10.1016/j.numecd.2022.03.031

Cited by 23 publications

(6 citation statements)

References 25 publications

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“…A total of eight studies were included (Table 3 in the Supplementary Information): five trials and three real-world studies [54][55][56][57][58][59][60][61]. Three included participants under 18 years old.…”

Section: Medtronic 780gmentioning

confidence: 99%

A Systematic Review of Commercial Hybrid Closed-Loop Automated Insulin Delivery Systems

2023

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Introduction: Several different forms of automated insulin delivery systems (AID systems) have recently been developed and are now licensed for type 1 diabetes (T1D). We undertook a systematic review of reported trials and real-world studies for commercial hybrid closedloop (HCL) systems. Methods: Pivotal, phase III and real-world studies using commercial HCL systems that are currently approved for use in type 1 diabetes were reviewed with a devised protocol using the Medline database. Results: Fifty-nine studies were included in the systematic review (19 for 670G; 8 for 780G; 11 for Control-IQ; 14 for CamAPS FX; 4 for Diabeloop; and 3 for Omnipod 5). Twenty were real-world studies, and 39 were trials or subanalyses. Twenty-three studies, including 17 additional studies, related to psychosocial outcomes and were analysed separately. Conclusions: These studies highlighted that HCL systems improve time In range (TIR) and arouse minimal concerns around severe hypoglycaemia. HCL systems are an effective and safe option for improving diabetes care. Realworld comparisons between systems and their effects on psychological outcomes require further study.

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Section: Medtronic 780gmentioning

confidence: 99%

A Systematic Review of Commercial Hybrid Closed-Loop Automated Insulin Delivery Systems

2023

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“…Existing control algorithms can be broadly discerned to be reactive and predictive. Reactive control action includes control algorithms such as proportional-integral and derivative (PID), fuzzy, and other approaches that compute insulin based on current measurements and lack predictive capabilities [ 7 , 8 , 9 ]. Some additional capabilities are available in the reactive controllers as well.…”

Section: Introductionmentioning

confidence: 99%

Human Digital Twin for Personalized Elderly Type 2 Diabetes Management

Padmapritha

Srinivasan

Kesavadev

et al. 2023

JCM

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Managing Elderly type 2 diabetes (E-T2D) is challenging due to geriatric conditions (e.g., co-morbidity, multiple drug intake, etc.), and personalization becomes paramount for precision medicine. This paper presents a human digital twin (HDT) framework to manage E-T2D that exploits various patient-specific data and builds a suite of models exploiting the data for prediction and management to personalize diabetes treatment in E-T2D patients. These models include mathematical and deep-learning ones that capture different patient aspects. Consequently, the HDT virtualizes the patient from different viewpoints using an HDT that mimics the patient and has interfaces to update the virtual models simultaneously from measurements. Using these models the HDT obtains deeper insights about the patient. Further, an adaptive patient model fusing this information and a learning-based model predictive control (LB-MPC) algorithm are proposed. The geriatric conditions are captured as model parameters and constraints while solving the LB-MPC to personalize the insulin infusion for E-T2D management. The HDT is deployed on and illustrated with 15 patients using clinical trials and simulations. Our results show that HDT helps improve the time-in-range from 3–75% to 86–97% and reduces insulin infusion by 14–29%.

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“…The safety, efficacy, and feasibility of transitioning to AID therapy in T1D has been documented in various inpatient and real-world studies with associated improvements in glycaemic control (1)(2)(3)(4)(5). The increased automaticity of AID therapy lessens the constraints of constant self-management, thereby liberating users to focus on other life factors (6).…”

Section: Introductionmentioning

confidence: 99%

Glycemia Around Exercise in Adults with Type 1 Diabetes Using Automated and Nonautomated Insulin Delivery Pumps: A Switch Pilot Trial

McCarthy

Christensen

Kristensen

et al. 2023

Diabetes Technology & Therapeutics

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In an in-patient switch study, 10 adults with type 1 diabetes (T1D) performed 45-minutes of moderate intensity exercise on two occasions : 1) when using their usual insulin pump (UP) and 2) after transitioning to automated insulin delivery (AID) treatment (MiniMed TM 780G).Consensus glucose management guidelines for performing exercise were applied. Plasma glucose (PG) concentrations measured over a 3-hour monitoring period were stratified into time spent below (TBR [<3.9 mmol/L]) within (TIR [3.9-10.0 mmol/L]) and above (TAR [>10.0 mmol/L]) target range.Overall, TBR (UP: 11±21 vs. AID: 3±10 %, p=0.413), TIR (UP: 53±27 vs. AID: 66±39 %, p=0.320) and TAR (UP: 37±34 vs. AID: 31±41 %, p=0.604) were similar between arms. A proportionately low number of people experienced exercise-induced hypoglycaemia (UP: n=2 vs. AID: n=1, p=1.00).In conclusion, switching to AID therapy did not alter patterns of glycaemia around sustained moderate intensity exercise in adults with T1D.

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Minimed Medtronic 780G optimizes glucose control in patients with type 1 diabetes mellitus

Cited by 23 publications

References 25 publications

A Systematic Review of Commercial Hybrid Closed-Loop Automated Insulin Delivery Systems

A Systematic Review of Commercial Hybrid Closed-Loop Automated Insulin Delivery Systems

Human Digital Twin for Personalized Elderly Type 2 Diabetes Management

Glycemia Around Exercise in Adults with Type 1 Diabetes Using Automated and Nonautomated Insulin Delivery Pumps: A Switch Pilot Trial

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