The MiniMed 780G automated insulin delivery system adapts to substantial changes in daily routine: Lessons from real world users during Ramadan

Performance of an Automated Insulin Delivery System in People Living With Type 2 Diabetes and Insulin Resistance: First Real-World Evidence in 26 427 Users

BACKGROUND

Type 2 diabetes (T2D) is a phenotypically heterogeneous disease. The use of insulin is required in a significant portion of people with T2D, despite recent developments in antidiabetic medications. This study analyzes glycemic outcomes in automated insulin delivery (AID) users with T2D with different insulin requirements.

METHODS

This is a retrospective, real-world analysis including MiniMed 780G (MM780G) data uploaded to CareLink Personal (January 2020 to April 2024). Four cohorts were identified based on phenotypes of T2D: (A) users with total daily dose of insulin (TDD) ≥ 100 IU, (B) users with self-reported T2D, (C) users with self-reported T2D and TDD ≥ 100 IU, and (D) users with self-reported T2D and TDD <100 IU. Glycemic outcomes and insulin use were assessed post-AID, pre-AID versus post-AID, and six-month longitudinal post-AID.

RESULTS

A total of 26 427 users were included in this study, of which 18 466 in cohort A, 10 795 in cohort B, 2 834 in cohort C, and 7 961 in cohort D. Mean time in range (TIR) was 71.1% ± 12.2 for cohort A, 75.1% ±14.1 for cohort B, 72.2% ± 15.0 for cohort C, and 76.1% ± 13.6 for cohort D. Mean time below range (TBR) <70 mg/dL was ≤1% in all cohorts. The users in cohort C using the recommended optimal settings (glucose target [GT] of 100 mg/dL and active insulin time [AIT] of two hours) had a greater TIR with 78.7% ± 10.8. All cohorts increased ≥10% post-AID compared with pre-AID.

CONCLUSIONS

The use of this AID is associated with effective therapy outcomes, as indicated by over 70% TIR, and appears to be safe, as demonstrated by a low TBR in a large cohort of real-life users with self-reported T2D and high or low TDD.

Time in tight glucose range in adolescents and young adults with diabetes during Ramadan intermittent fasting: Data from real-world users on different treatment strategies

BACKGROUND

Time in tight range (TITR) is a novel glycemic metric assessing normoglycemia in individuals with diabetes.

AIM

To assess the attainability of the TITR (70-140 mg/dL) target in youth with diabetes using different treatment strategies during Ramadan fasting.

METHODS

This prospective study included 276 non-insulin-treated type 2 diabetes mellitus (T2DM) and 426 patients with type 1 diabetes mellitus (T1DM) who were categorized into: multiple daily injections [MDI] + intermittently scanned CGM (isCGM), sensor augmented pump (SAP) and advanced hybrid closed loop (AHCL).

RESULTS

At the end of Ramadan, the mean TITR was 42.3 ± 6.6 % for all T1DM patients and 63.5 ± 4.0 % in T2DM (p < 0.001). The highest TITR was in T2DM group together with T1DM on AHCL (62.3 ± 11.6 %), followed by SAP group (37.7 ± 5.7 %) and MDI + isCGM group (23.6 ± 5.9 %, p < 0.001). Hypoglycemic episodes as shown by time below range (TBR) < 70 mg/dL and TBR < 54 mg/dL were minimal during Ramadan in AHCL group in comparison to before Ramadan (2.6 ± 0.7 versus 2.9 ± 0.9 %; p = 0.061 and 0.4 ± 0.1 vs 0.5 ± 0.1 %, p = 0.561, respectively) with a lower coefficient of variation (CoV) (p < 0.001) than other T1DM participants.

CONCLUSION

At the end of Ramadan, TITR was decreased in patients with T1DM except those using AHCL who had similar levels to non-insulin-treated T2DM patients. Advanced technology has the potential for achieving tight glycemic targets, along with a reduction in CoV, without increasing hypoglycemic risk compared with other insulin treatment modalities.

The Use of MiniMed780G System Is Associated With Stable Glycemic Control in People With Type 1 Diabetes Before, During, and After Ramadan: An Observational Study

Aims: The study was aimed at assessing the role of the MiniMed780G system of glycemic control before, during, and after Ramadan among people with Type 1 diabetes (PwT1D). Methods: This is a single-center retrospective analysis of MiniMed780G system users aged 14 years and above whose glycemic profiles were collected from February 21 to May 20, 2023, which corresponds to the Hijri months of Sha'ban, Ramadan, and Shawwal 1444/1445. Data was collected, processed, and analyzed in the framework of the Medtronic Galaxy service of the One Hospital Clinical Service (OHCS) program in Dallah Hospital, Riyadh, Saudi Arabia. Data from 43 PwT1D (24 females, mean age 30 ± 11 years with 14 ± 8 years from diabetes onset) using the MiniMed780G system were collected. Results: Overall, the 3-month (Sha'ban, Ramadan, and Shawwal) mean sensor glucose (SG), time in range (TIR) (70-180 mg/dL), time below range (TBR) (54-69 mg/dL and < 54 mg/dL), time above range (TAR) (180-250 mg/dL and > 250 mg/dL), and glucose management indicator (GMI) showed no statistical differences within the three periods. No differences in insulin total daily dose have been detected, and no diabetic ketoacidosis (DKA) or severe hypoglycemia events occurred. Conclusion: The use of the MiniMed780G system is safe with favorable glycemic outcomes across nonfasting and fasting months.

Generating real-world evidence on diabetes technology using the CareLink Personal data management system

AIM

To establish trust in real-world evidence (RWE) derived from CareLink Personal (CP), Medtronic's data management system for MiniMed system users, we show that this database and its analyses strictly adhere to the principles of RWE.

METHODS

The methodology is applicable to all MiniMed iterations. We described every step from raw data to predefined outcomes. In addition, we showed CP's fitness-for-research by the below metrics (using last year's MiniMed 780G system data as a case study): representative population, relevant endpoints, appropriate granularity, high data completeness, high data representativity and consistency in results.

RESULTS

The process from raw data to outcomes has been validated, and metrics/logics adhere to established definitions. Over 95% of users have a CP account; with 96% providing consent, this allows the use of >91% of the census population. There is no rationale for an over-representation of a specific phenotype among users not included. CP includes >50 endpoints, including 'International Consensus on Time in Range' based metrics. Data are recorded at 5-min intervals (maximum 288 per day), and on average there were 263 data points per person per day. Ninety-nine per cent of uploads were automated. For the last year, only 1 in 6 users had a data gap >1 day, and 1 in 50 had a gap >1 week. The time in range from in-silico studies was similar to that of real-world studies from different geographies and with ever growing populations.

CONCLUSION

RWE from CP adheres to the principles of RWE and can serve as robust evidence on the performance and safety of MiniMed systems.

Integrated Strategies to Support Diabetes Technology in Pregnancy

Managing diabetes in pregnancy can be overwhelming, with numerous dramatic physiologic changes taking place that require constant diligence and attention. Advances in diabetes technology have improved glycemic outcomes, well-being, and quality of life for people with type 1 diabetes of all ages. However, regulatory approval and access to diabetes technology in pregnancy has lagged behind these advancements, leaving many pregnant individuals without tools that could dramatically improve diabetes care before, during, and after gestation. Here, we review the benefits of continuous glucose monitors and automated insulin-delivery systems in pregnancy and highlight specific scientific and structural supports to help implement diabetes technology safely, effectively, and equitably in pregnancy.

Twelve-Month Real-World Use of an Advanced Hybrid Closed-Loop System Versus Previous Therapy in a Dutch Center For Specialized Type 1 Diabetes Care

BACKGROUND

Complexity of glucose regulation in persons with type 1 diabetes (PWDs) necessitates increased automation of insulin delivery (AID). This study aimed to analyze real-world data over 12 months from PWDs who started using the MiniMed 780G (MM780G) advanced hybrid closed-loop (aHCL) AID system at the Diabeter clinic, focusing on glucometrics and clinical outcomes.

METHODS

Persons with type 1 diabetes switching to the MM780G system were included. Clinical data (e.g. HbA1c, previous modality) was collected from Diabeter's electronic health records and glucometrics (time in range [TIR], time in tight range [TITR], time above range [TAR], time below range [TBR], glucose management indicator [GMI]) from CareLink Personal for a 12-month post-initiation period of the MM780G system. Outcomes were age-stratified, and the MM780G system was compared with previous use of older systems (MM640G and MM670G). Longitudinal changes in glucometrics were also evaluated.

RESULTS

A total of 481 PWDs were included, with 219 having prior pump/sensor system data and 334 having monthly longitudinal data. After MM780G initiation, HbA1c decreased from 7.6 to 7.1% (P < .0001) and the percentage of PWDs with HbA1c <7% increased from 30% to 50%. Glucose management indicator and TIR remained stable with mean GMI of 6.9% and TIR >70% over 12 months. Age-stratified analysis showed consistent improvements of glycemic control across all age groups, with older participants achieving better outcomes. Participants using recommended system settings achieved better glycemic outcomes, reaching TIR up to 77% and TTIR up to 55%.

CONCLUSIONS

Use of MM780G system results in significant and sustained glycemic improvements, consistent across age groups and irrespective of previous treatment modalities.

Managing blood glucose levels with a hybrid closed-loop system in a patient with type 1 diabetes mellitus on enteral nutrition: A case report

The achievement of glycemic management is challenging in patients with diabetes on enteral nutrition, limited literature exists on hybrid closed-loop systems' efficacy in such a situation. We described the case of a patient with type 1 diabetes treated by advanced hybrid closed loop on enteral nutrition with satisfactory glycemic management.

A Real-World Prospective Study of the Effectiveness and Safety of Automated Insulin Delivery Compared With Other Modalities of Type 1 Diabetes Treatment During Ramadan Intermittent Fasting

OBJECTIVE

To compare the fasting experience and glycemic control during Ramadan among people with type 1 diabetes (PWT1D) who use automated insulin delivery (AID) versus other modalities of treatment.

RESEARCH DESIGN AND METHODS

A total of 294 PWT1D who attempted fasting during Ramadan in 2022 were categorized on the basis of treatment modality into one of five groups: 1) AID (n = 62); 2) conventional pump + continuous glucose monitoring (CGM; n = 37); 3) pump + self-monitoring of blood glucose (SMBG; n = 8); 4) multiple daily injections (MDI) + CGM (n = 155); and 5) MDI + SMBG (n = 32). Predictors of fasting most days of Ramadan (i.e., breaking fast ≤2 days because of diabetes) were analyzed using uni- and multivariable logistic regression.

RESULTS

The median numbers of days when fasting was broken because of diabetes were 2, 5, 3, 3.5, and 2.5 for AID, conventional pump + CGM, MDI + CGM, pump + SMBG, and MDI + SMBG users, respectively (P = 0.047). Users of AID had a significantly greater time in range (TIR) and lower glycemia risk index, time below range, and time above range compared with users of conventional pumps and MDI (both P < 0.05). Likewise, 53% of AID users attained the double target of 1) breaking fast ≤2 days because of diabetes and 2) maintaining TIR ≥70% during Ramadan compared with only 3% of the conventional pump users and 44% of the MDI + CGM users (both P < 0.05). Compared with MDI + CGM users, AID users were twice as likely to complete fasting most days of Ramadan.

CONCLUSIONS

Use of AID is associated with the highest rates of fasting and best glycemic control during Ramadan fasting.