Abstract

Background: Safety and significant improvement in overall glycated hemoglobin (A1C) and percentage of time spent in (TIR), below (TBR), and above (TAR) glucose range were demonstrated in the pivotal trial of adolescents and adults using the MiniMed™ advanced hybrid closed-loop (AHCL) system with the adjunctive, calibration-required Guardian™ Sensor 3. The present study evaluated early outcomes of continued access study (CAS) participants who transitioned from the pivotal trial investigational system to the approved MiniMed™ 780G system with the non-adjunctive, calibration-free Guardian™ 4 Sensor (MM780G+G4S). Study data were presented alongside those of real-world MM780G+G4S users from Europe, the Middle East, and Africa.
Methods: The CAS participants (N = 109, aged 7–17 years and N = 67, aged >17 years) used the MM780G+G4S for 3 months and data of real-world MM780G+G4S system users (N = 10,204 aged ≤15 years and N = 26,099 aged >15 years) were uploaded from September 22, 2021 to December 02, 2022. At least 10 days of real-world continuous glucose monitoring (CGM) data were required for analyses. Glycemic metrics, delivered insulin and system use/interactions underwent descriptive analyses.
Results: Time in AHCL and CGM use were >90% for all groups. AHCL exits averaged 0.1/day and there were few blood glucose measurements (BGMs) (0.8/day–1.0/day). Adults in both cohorts met most consensus recommendations for glycemic targets. Pediatric groups met recommendations for %TIR and %TBR, although not those for mean glucose variability and %TAR, possibly due to low use of recommended glucose target (100 mg/dL) and active insulin time (2 h) settings (28.4% in the CAS cohort and 9.4% in the real-world cohort). The CAS pediatric and adult A1C were 7.2% ± 0.7% and 6.8% ± 0.7%, respectively, and there were no serious adverse events.
Conclusions: Early clinical use of the MM780G+G4S was safe and involved minimal BGMs and AHCL exits. Consistent with real-world pediatric and adult use, outcomes were associated with achievement of recommended glycemic targets.
Clinical Trial Registration number: NCT03959423

Introduction

Continuous glucose monitoring (CGM) provides essential sensor glucose (SG) values at 1- or 5-min intervals,1 and allows visualization of current and impending hypoglycemic and hyperglycemic excursions. Recent systematic review and meta-analysis have shown that while adjunctive CGM technology associates with a greater reduction in glycated hemoglobin (A1C) and non-adjunctive CGM technology associates with a greater increase in percentage of time in range (%TIR), both similarly reduce the percentage of time spent below target SG range (%TBR) when compared with blood glucose measurement (BGM).2 The impact on %TBR is substantial, as nonsevere hypoglycemic events (NSHEs) in insulin-treated diabetes are common3 and hypoglycemia, in general, poses a significant economic4,5 and family burden6,7; with nocturnal NSHEs disrupting sleep, wellbeing, and work productivity.8,9
Automated insulin delivery (AID) systems with hybrid closed-loop (HCL) or advanced hybrid closed-loop (AHCL) algorithms modulate insulin delivery based on real-time CGM and a system-specific SG range or target to minimize hypoglycemia and improve %TIR.10 Several 6-month randomized controlled trials (RCTs) have demonstrated safe and clinically significant improvement in A1C,11–14 %TIR,11–15 and %TBR <70 mg/dL11–15 with different AID therapies; all of which comprised either adjunctive or non-adjunctive CGM technology components.
Real-world analyses of AID systems have supported many of the clinical trial findings and shown the widespread effectiveness of HCL16–18 and AHCL19–22 with either adjunctive or non-adjunctive CGM technology, and in pediatric and adult populations with T1D. The present study reports on early pediatric and adult glycemic outcomes during pivotal trial continued access study (CAS) and real-world use of the MiniMed™ 780G system with the Guardian™ 4 Sensor.

Methods

Pivotal trial continued access study cohort

The Safety Evaluation of the AHCL System in Type 1 Adult and Pediatric Subjects pivotal trial (NCT03959423) was a multicenter, single-arm, nonrandomized study that investigated safety, change in A1C, and the percentage of time spent in CGM ranges between baseline run-in (without AHCL) and study (with AHCL) in adolescent (aged 14–21 years) and adult (aged ≥22–75 years) participants. The investigational AHCL system included the MiniMed™ 670G insulin pump with version 4.0 algorithm, the adjunctive and calibration-required Guardian™ Sensor 3 (GS3) glucose sensor (Medtronic), Guardian™ Link 3 transmitter (Medtronic), and the CONTOUR®NEXT LINK 2.4 BG meter (Ascensia Diabetes Care, Parsippany, NJ). The primary safety and glycemic endpoint findings, in addition to protocol requirements, IRB-obtained approval, and criteria for study inclusion and exclusion, have been published.23
Participants who completed the pivotal trial could continue using the investigational system in a prospective continued access study (CAS). For those who entered the CAS, bloodwork for laboratory A1C was conducted at the end of the pivotal trial or at the start of the CAS period. Bloodwork for A1C was conducted, again, at 90-day follow-up visits. System data were also uploaded to CareLink™ Clinical software (Medtronic). Participants and/or their guardians were instructed to continue performing a BGM when prompted by the pump (e.g., for calibration) or when experiencing symptoms that did not align with their SG value. Investigational sites continued to report serious adverse events, including severe hypoglycemia and diabetic ketoacidosis (DKA), and system settings were adjusted at the discretion of investigators.
In May 2021, the MiniMed™ 780G system with Guardian™ 4 Sensor (G4S), Guardian™ Link 4 transmitter and the Accu-Chek® Guide Link blood glucose meter (Roche Diabetes Care, Inc., Indianapolis, IN) received Conformité Européenne (CE) mark. The CE-marked system included the non-adjunctive indication for the G4S that replaces fingerstick BGMs for diabetes treatment decisions. Participants could transition from the investigational AHCL+GS3 system to the CE-marked system (MM780G+G4S) that included the same AHCL algorithm, an additional 110 mg/dL glucose target (GT) setting and Bluetooth™ low-energy connectivity.

Real-world cohort

The real-world analyses included individuals (N = 36,303) who self-reported their T1D and their age as ≤15 years and >15 years, and who lived in Austria, Belgium, the Czech Republic, Denmark, Egypt, Finland, France, Germany, Great Britain, Iceland, Ireland, Israel, Italy, Luxembourg, Netherlands, Poland, Portugal, Qatar, Romania, Saudi Arabia, Slovenia, Slovakia, Sweden, Switzerland, South Africa, or the United Arab Emirates. From September 22, 2021, to December 2, 2022, MM780G+G4S system data were uploaded to CareLink™ Personal software (Medtronic) and ≥10 days of CGM data were required for analyses.

Glycemic outcomes, insulin, and system use

For the CAS cohort, mean ± standard deviation (SD) of A1C was determined. For both the CAS and real-world cohorts, the mean ± SD of percentage of time spent in AHCL; percentage of CGM use, mean SG, coefficient of variation (CV) of SG, glucose management indicator (GMI), and percentage of time spent at SG ranges (i.e., <54 mg/dL, <70 mg/dL, 70–180 mg/dL, >180 mg/dL and >250 mg/dL) for the 24-h day and nighttime (12:00 AM to 05:59 AM) were assessed. The mean ± SD of total daily dose of insulin (TDD), total basal insulin, total bolus insulin, and system-initiated insulin (including Auto Correction insulin) were also determined. Additional analyses included system use/interactions involving the daily number of AHCL exits, user-initiated boluses, and BGMs for the 24-h day.

Safety and descriptive analyses

While rates of severe hypoglycemia and DKA during the CAS were reported by investigators, the CareLink™ Personal platform does not capture these events. Thus, %TBR <54 mg/dL (i.e., level 2 hypoglycemia), which is considered clinically significant and deemed to require immediate attention,24,25 served as a safety endpoint proxy for the real-world analysis. For the CAS, severe hypoglycemia was defined as an event requiring the active assistance of another individual to administer carbohydrate, glucagon, or other resuscitative actions due to study participant altered consciousness. DKA was defined as a BG meter reading >250 mg/dL, arterial pH <7.3, bicarbonate <15 mEq/L, and moderate ketonuria or ketonemia requiring treatment in a medical facility. The mean or mean ± SD of glycemic metrics, delivered insulin, and system use/interactions were determined by age group for each cohort and underwent descriptive analyses.

Results

CAS participants and real-world users

Across 17 investigational sites, 109 children and adolescents (11.2 ± 2.5 years of age, N = 52 female) with diabetes duration of 6.6 ± 2.7 years, and 67 adults (45.4 ± 14.8 years of age, N = 36 female) with diabetes duration of 27.1 ± 12.8 years, transitioned from the investigational system to the MM780G+G4S system. The real-world cohort used the MM780G+G4S for a mean ± SD of 143.6 ± 100.7 days and included 10,204 (N = 4814 female) who self-reported an age ≤15 years (156.8 ± 103.9 system use days) and 26,099 (N = 14,215 female) who self-reported an age >15 years (138.5 ± 98.9 system use days).

Glycemic outcomes, insulin, and system use

The time spent in AHCL, CGM use, and CGM outcomes for the 24-h day and percentage of time spent at SG ranges during the nighttime, for each age group during MM780G+G4S use are shown (Fig. 1). Insulin delivered, AHCL exits and the number of daily user-initiated boluses, and BGMs for both cohorts are listed (Table 1). For a qualitative comparison, some of the 24-h day data, in addition to the proportions meeting consensus recommended glycemic targets,26 during pivotal trial AHCL+GS3 use and real-world MM780G+GS3 use are provided, as a supplement (Supplementary Data S1).
FIG. 1. Glycemic outcomes during pediatric and adult pivotal trial CAS use and real-world use of the MiniMed™ 780G system with Guardian™ 4 Sensor. CAS, continued access study.
Table 1. Daily Insulin Delivered and System Interactions During Pivotal Trial Continued Access Study and Real-World Use of the MiniMed™ 780G System with Guardian™ 4 Sensor
 PediatricAdult
Pivotal CAS (7–17 years) N = 109Real-world (≤15 years) N = 10,204Pivotal CAS (>17 years) N = 67Real-world (>15 years) N = 26,099
TDD, U52.0 ± 22.341.6 ± 23.659.9 ± 31.151.1 ± 25.6
 Total basal, U20.4 ± 9.216.1 ± 9.826.1 ± 14.521.6 ± 11.7
 Total bolus, U31.6 ± 13.725.5 ± 14.633.8 ± 18.129.5 ± 15.4
System-initiated insulin, U (%TDD)30.4 ± 14.9
(58.0 ± 8.4)
24.2 ± 15.5
(56.8 ± 10.5)
35.4 ± 20.5
(58.1 ± 10.6)
30.4 ± 17.2
(59.1 ± 11.9)
 Auto correction, U10.1 ± 6.18.1 ± 6.39.2 ± 6.88.8 ± 6.6
 Auto correction, %TDD (%Total Bolus)18.7 ± 5.6
(31.3 ± 10.5)
18.4 ± 6.9
(30.6 ± 12.8)
14.7 ± 5.6
(26.8 ± 11.5)
16.6 ± 7.4
(29.9 ± 14.8)
User-initiated insulin, U (%TDD)21.5 ± 9.5
(42.0 ± 8.4)
17.4 ± 10.3
(43.2 ± 10.5)
24.5 ± 13.5
(41.9 ± 10.6)
20.7 ± 11.9
(40.9 ± 11.9)
System interactions
 AHCL exits, N/day0.1 ± 0.10.1 ± 0.20.1 ± 0.10.1 ± 0.1
 User-initiated boluses, N/day5.5 ± 2.05.7 ± 2.24.7 ± 1.74.9 ± 2.0
 BGM, N/day0.8 ± 0.51.0 ± 1.20.8 ± 0.90.8 ± 0.9
Data are shown as mean ± SD.
System-initiated insulin included programmed open-loop basal rates, Auto Basal and Auto Correction.
AHCL, advanced hybrid closed loop; BGM, blood glucose measurement; CAS, continued access study; SD, standard deviation; TDD, total daily dose of insulin.

Safety

During the 3-month CAS, there were no serious adverse events, DKA or severe hypoglycemic events. For the real-world cohort, system users ≤15 years of age and >15 years of age spent a mean of 7.8 min/day (54.6 min/week) and 4.8 min/day (33 min/week), respectively, at %TBR <54 mg/dL.

Discussion

In the present study, time in AHCL and CGM use were high for the pediatric and adult groups using the MM780G+G4S in the CAS and real-world cohorts. The CAS cohort demonstrated 3-month mean A1C that averaged 7.0% and had slightly lower mean SG, CV of SG, percentage of time spent above range (%TAR), and %TBR, with slightly increased TIR, relative to their respective age group in the real-world cohort. Adults met most consensus recommended glycemic targets for AID,26 which were further improved during the nighttime.
While the pediatric groups had very low exposure to hypoglycemia, they did not achieve consensus targets for mean SG, CV of SG, %TAR >180 mg/dL, and %TAR >250 mg/dL. Reasons for this may have been due to modifiable system settings. For instance, in the pediatric CAS cohort, only 28.4% (N = 31/109) used the lowest 100 mg/dL GT with the 2 h active insulin time (AIT) setting, for ≥10 days of CGM use. Even fewer used these settings in the pediatric real-world cohort (9.4% [N = 962/10,204]).
The Petrovski et al., 3-month RCT, recently reported on the impact of the 100 mg/dL GT (94% of participants) and 2 h AIT (80%–94% of participants) in individuals aged 12–18 years with T1D.27 It investigated simplified meal bolus announcements during MM780G+G4S use and observed a %TIR of 73.5% ± 6.7% for the simplified carb announcement group (N = 17) and a %TIR of 80.3% ± 7.4% for the precise carb announcement group (N = 17). The end of study %TAR >180 mg/dL were 19.0% ± 5.2% and 13.5% ± 5.9%, respectively; and %TAR >250 mg/dL were 5.7% ± 3.6% and 3.0% ± 2.4%, respectively.27 Interestingly, insulin-to-carb ratios (ICRs) were adjusted early in the study (no later than 2 weeks after system start) and were significantly reduced in both groups. In addition, a significantly lower percentage of mean Auto Correction insulin (15% of TDD and 22.6% of total bolus vs. 29% of TDD and 46% of total bolus [P = 0.003]) was observed for the precise carb announcement group. The same group had a significantly greater number of daily meal announcements (5.1 ± 1.1 vs. 3.7 ± 0.9 [P = 0.003]). Although only a small single-site study, glycemic outcomes improved for both groups who used MDI therapy at baseline, and there were no DKA or severe hypoglycemic events.
The Petrovski et al. findings and the present study pediatric outcomes, where Auto Correction insulin averaged 19% of TDD and 31% of total bolus, shed light on how ICR adjustments and specific modifiable settings inherent to AID therapy can help children and adolescents who may have difficulty managing hyperglycemia when compared to adults. As previously reported,19,28 the extent of delivered automated correction bolus can serve as a metric for guiding system settings and treatment decisions. This becomes even more important for T1D populations experiencing challenges with glycemia (e.g., high A1C and %TAR, or low %TIR),28–31 but for whom significant gains can be made with AID.10,32
The GS3 was the first glucose sensor approved for AID therapy.33 It demonstrated a mean absolute relative difference (MARD) of 10.6% ± 9.6% (11,664 paired points) in its pivotal trial34 and a MARD of 10.8% ± 9.0% (3710 paired points) in the MiniMed™ 670G system pivotal trial.35 The GS3 with calibration-free algorithm (i.e., G4S) demonstrated a MARD of 10.8% ± 9.3% (18,423 paired points) in its pivotal trial36 and has been used in the clinical37,38 and real-world39 setting since 2021. Similar to the study phase-period of the investigational AHCL pivotal trial with GS3, there were no severe hypoglycemic or DKA events during CAS MM780G+G4S use in the present study.
Regarding real-world safety of the MM780G+G4S, the 7.8 min/day and 4.8 min/day at %TBR <54 mg/dL for younger and older users, respectively, indicate very low exposure to level 2 hypoglycemia. A recent modeling analysis based on pivotal trial participants, real-world system users and simulated virtual patients transitioning from GS3 to G4S ascertained the clinical impact of that transition.40 Real-world comparisons (N = 1335 users) before and after transition demonstrated a %TBR <54 mg/dL that decreased by 0.4% (6 min/day), indicating a very low risk of serious hypoglycemia.
In addition to the MM780G+G4S glycemic benefits observed in the CAS and real-world cohorts, T1D management burden was reduced. Supplementary data show that, compared to pivotal trial AHCL+GS3 use, there were slightly fewer closed-loop exits during MM780G+G4S use by both age groups. In addition, there were markedly fewer daily BGMs by the CAS pediatric group (0.8 ± 0.5/day vs. 4.2 ± 1.2/day) and older group (0.8 ± 0.9/day vs. 4.0 ± 1.0/day) when using MM780G+G4S. Similar reductions in daily BGMs for the real-world pediatric group (1.0 ± 1.0/day vs. 3.4 ± 1.0/day) and real-world adult group (0.8 ± 0.9/day and 3.2 ± 0.9/day) were observed during MM780G system use with G4S versus GS3.
A limitation of the present study is that CAS data were collected prospectively and real-world data were retrospectively assessed, which prevented statistical comparative analyses. The study population difference added to this, as the CAS cohort involved clinical trial-enrolled participants with known medical history, AID system experience, follow-up, and moderate glycemic control at baseline (A1C of 7.5% ± 0.8%). In contrast, and while representing potentially generalized outcomes, the larger real-world cohort from multiple countries had no known demographic, medical history, or clinical laboratory follow-up information. Study strengths include timely access to MM780G+G4S for the CAS cohort, in addition to pediatric and adult real-world MM780G system users having automatic data uploading capability through the MiniMed™ smartphone application. This allowed visualization of clinical outcomes and system interactions alongside those of real-world system users.

Conclusions

Early 3-month use of the MiniMed™ 780G system with the Guardian™ 4 Sensor in a clinical setting was safe. Most adults in the clinical and real-world setting achieved consensus glycemic targets, while many children and adolescents in both settings met recommended GMI, %TIR, and %TBR targets.

Acknowledgments

The authors gratefully thank the MiniMed™ AHCL system study participants and their families, in addition to the investigational staff managing the pivotal trial and CAS. They also wish to acknowledge Yuri Treminio, BA, (Medtronic employee) for her contribution to article writing.

Supplementary Material

File (suppl_datas1.tif)

References

1. Yoo JH, Kim JH. Advances in continuous glucose monitoring and integrated devices for management of diabetes with insulin-based therapy: Improvement in glycemic control. Diabetes Metab J 2023;47:27–41.
2. Elbalshy M, Haszard J, Smith H, et al. Effect of divergent continuous glucose monitoring technologies on glycaemic control in type 1 diabetes mellitus: A systematic review and meta-analysis of randomised controlled trials. Diabet Med 2022;39:e14854.
3. Khunti K, Alsifri S, Aronson R, et al. Rates and predictors of hypoglycaemia in 27 585 people from 24 countries with insulin-treated type 1 and type 2 diabetes: The global HAT study. Diabetes Obes Metab 2016;18:907–915.
4. Shi L, Fonseca V, Childs B. Economic burden of diabetes-related hypoglycemia on patients, payors, and employers. J Diabetes Complications 2021;35:107916.
5. Sussman M, Sierra JA, Garg S, et al. Economic impact of hypoglycemia among insulin-treated patients with diabetes. J Med Econ 2016;19:1099–1106.
6. Barnard K, James J, Kerr D, et al. Impact of chronic sleep disturbance for people living with T1 diabetes. J Diabetes Sci Technol 2016;10:762–767.
7. Brod M, Pohlman B, Wolden M, et al. Non-severe nocturnal hypoglycemic events: Experience and impacts on patient functioning and well-being. Qual Life Res 2013;22:997–1004.
8. Brod M, Wolden M, Christensen T, et al. Understanding the economic burden of nonsevere nocturnal hypoglycemic events: Impact on work productivity, disease management, and resource utilization. Value Health 2013;16:1140–1149.
9. Brod M, Wolden M, Christensen T, et al. A nine country study of the burden of non-severe nocturnal hypoglycaemic events on diabetes management and daily function. Diabetes Obes Metab 2013;15:546–557.
10. American Diabetes Association Professional Practice Committee, Draznin B, Aroda VR, et al. 7. Diabetes Technology: Standards of Medical Care in Diabetes-2022. Diabetes Care 2022;45:S97–S112.
11. McAuley SA, de Bock MI, Sundararajan V, et al. Effect of 6 months of hybrid closed-loop insulin delivery in adults with type 1 diabetes: A randomised controlled trial protocol. BMJ Open 2018;8:e020274.
12. Brown SA, Kovatchev BP, Raghinaru D, et al. Six-month randomized, multicenter trial of closed-loop control in type 1 diabetes. N Engl J Med 2019;381:1707–1717.
13. Choudhary P, Kolassa R, Keuthage W, et al. Advanced hybrid closed loop therapy versus conventional treatment in adults with type 1 diabetes (ADAPT): A randomised controlled study. Lancet Diabetes Endocrinol 2022;10:720–731.
14. Garg SK, Grunberger G, Weinstock RS, et al. Improved glycemia with hybrid closed-loop (HCL) versus continuous subcutaneous insulin infusion (CSII) therapy: Results from a randomized controlled trial. Diabetes Technol Ther 2023;25(1):1–12;.
15. Isganaitis E, Raghinaru D, Ambler-Osborn L, et al. Closed-loop insulin therapy improves glycemic control in adolescents and young adults: Outcomes from the International Diabetes Closed-Loop Trial. Diabetes Technol Ther 2021;23:342–349.
16. Da Silva J, Bosi E, Jendle J, et al. Real-world performance of the MiniMed 670G system in Europe. Diabetes Obes Metab 2021;23:1942–1949.
17. Arunachalum S, Velado K, Vigersky RA, et al. Glycemic outcomes during real-world hybrid closed-loop system use by individuals with type 1 diabetes in the United States. J Diabetes Sci Technol 2022;.
18. Amadou C, Franc S, Benhamou PY, et al. Diabeloop DBLG1 closed-loop system enables patients with type 1 diabetes to significantly improve their glycemic control in real-life situations without serious adverse events: 6-month follow-up. Diabetes Care 2021;44:844–846.
19. Arrieta A, Battelino T, Scaramuzza AE, et al. Comparison of MiniMed 780G system performance in users aged younger and older than 15 years: Evidence from 12 870 real-world users. Diabetes Obes Metab 2022;24:1370–1379.
20. DaSilva J, Lepore G, Battelino T, et al. Real-world performance of the MiniMed 780G system: First report of outcomes from 4120 users. Diabetes Technol Ther 2022;24:113–119.
21. Breton MD, Kovatchev BP. One year real-world use of the Control-IQ advanced hybrid closed-loop technology. Diabetes Technol Ther 2021;23:601–608.
22. Pinsker JE, Muller L, Constantin A, et al. Real-world patient-reported outcomes and glycemic results with initiation of Control-IQ technology. Diabetes Technol Ther 2021;23:120–127.
23. Carlson AL, Sherr JL, Shulman DI, et al. Safety and glycemic outcomes during the MiniMed advanced hybrid closed-loop system pivotal trial in adolescents and adults with type 1 diabetes. Diabetes Technol Ther 2022;24:178–189.
24. Battelino T, Danne T, Bergenstal RM, et al. Clinical targets for continuous glucose monitoring data interpretation: Recommendations from the International Consensus on Time in Range. Diabetes Care 2019;42:1593–1603.
25. Danne T, Nimri R, Battelino T, et al. International consensus on use of continuous glucose monitoring. Diabetes Care 2017;40:1631–1640.
26. Phillip M, Nimri R, Bergenstal RM, et al. Consensus recommendations for the use of automated insulin delivery (AID) technologies in clinical practice. Endocr Rev 2022;44(2):254–280;
27. Petrovski G, Campbell J, Pasha M, et al. Simplified meal announcement versus precise carbohydrate counting in adolescents with type 1 diabetes using the MiniMed 780G advanced hybrid closed loop system: A randomized controlled trial comparing glucose control. Diabetes Care 2023;46(3):544–550.
28. Akturk HK, Snell-Bergeon J, Shah VN. Efficacy and safety of Tandem Control IQ without user-initiated boluses in adults with uncontrolled type 1 diabetes. Diabetes Technol Ther 2022;24:779–783.
29. Boucsein A, Watson AS, Frewen CM, et al. Impact of advanced hybrid closed loop on youth with high-risk type 1 diabetes using multiple daily injections. Diabetes Care 2023;46(3):628–632.
30. Castaneda J, Mathieu C, Aanstoot HJ, et al. Predictors of time in target glucose range in real-world users of the MiniMed 780G system. Diabetes Obes Metab 2022;24:2212–2221.
31. Schoelwer MJ, Kanapka LG, Wadwa RP, et al. Predictors of time-in-range (70–180 mg/dL) achieved using a closed-loop control system. Diabetes Technol Ther 2021;23:475–481.
32. Sherr JL, Schoelwer M, Dos Santos TJ, et al. ISPAD Clinical Practice Consensus Guidelines 2022: Diabetes technologies: Insulin delivery. Pediatr Diabetes 2022;23:1406–1431.
33. Kaufman FR and Shin J. Re: Castle, et al. Diabetes Technol Ther 2017;19:440.
34. Christiansen MP, Garg SK, Brazg R, et al. Accuracy of a fourth-generation subcutaneous continuous glucose sensor. Diabetes Technol Ther 2017;19:446–456.
35. Garg SK, Weinzimer SA, Tamborlane WV, et al. Glucose outcomes with the in-home use of a hybrid closed-loop insulin delivery system in adolescents and adults with type 1 diabetes. Diabetes Technol Ther 2017;19:155–163.
36. Brazg R, Bailey T, Bode B, et al. Performance of the Guardian sensor 3 continuous glucose monitoring system with no calibration. Diabetes Technol Ther 2021;23:A33.
37. Shin J, Bode B, Brazg R, et al. Glycemic outcomes in pediatric and adults individuals with type 1 diabetes (T1D) during MiniMed™ 780G system use with the Guardian™ 4 Sensor. Diabetes Technol Ther 2022;24:A88.
38. Vigersky R, Chen X, Cordero T, et al. Early glycemic outcomes of pediatric and adult users of the MiniMed™ 780G system with the Guardian™ 4 sensor. Endocr Pract 2022;28:S23.
39. Vigersky RA, Castaneda J, Arrieta A, et al. Real-world use of the MiniMed 780G Advanced Hybrid Closed-Loop (AHCL) system with the Guardian 4 sensor and the Guardian sensor 3. Diabetes 2022;71 (Supplement 1):763-P.
40. Grosman B, Parikh N, Roy A, et al. In silico evaluation of the Medtronic 780G system while using the GS3 and its calibration-free successor, the G4S sensor. Ann Biomed Eng 2023;51:211–224.

Information & Authors

Information

Published In

cover image Diabetes Technology & Therapeutics
Diabetes Technology & Therapeutics
Volume 25Issue Number 9September 2023
Pages: 652 - 658
PubMed: 37252734

History

Published in print: September 2023
Published online: 23 August 2023
Published ahead of print: 16 June 2023
Published ahead of production: 30 May 2023

Permissions

Request permissions for this article.

Topics

Authors

Affiliations

Zheng Dai
Medtronic, Northridge, California, USA.
Arcelia Arrieta
Medtronic International Trading Sàrl, Tolochenaz, Switzerland.
Fang Niu
Medtronic, Northridge, California, USA.
Melissa Vella
Medtronic, Northridge, California, USA.
John Shin
Medtronic, Northridge, California, USA.
Andrew S. Rhinehart
Medtronic, Northridge, California, USA.
Jennifer McVean
Medtronic, Northridge, California, USA.
Scott W. Lee
Department of Endocrinology, Loma Linda University, Loma Linda, California, USA.
Robert H. Slover
Department of Pediatrics, Barbara Davis Center of Childhood Diabetes, Aurora, Colorado, USA.
Department of Pediatrics, Barbara Davis Center of Childhood Diabetes, Aurora, Colorado, USA.
Dorothy I. Shulman
University of South Florida Diabetes and Endocrinology, Department of Pediatrics, Tampa, Florida, USA.
Rodica Pop-Busui
Division of Metabolism, Endocrinology and Diabetes, University of Michigan, Ann Arbor, Michigan, USA.
James R. Thrasher
Arkansas Diabetes and Endocrinology Center, Little Rock, Arkansas, USA.
Mark S. Kipnes
Diabetes and Glandular Disease Clinic, San Antonio, Texas, USA.
Mark P. Christiansen
Diablo Clinical Research Center, Walnut Creek, California, USA.
Bruce A. Buckingham
Stanford University School of Medicine, Department of Pediatric Endocrinology, Stanford, California, USA.
Catherine Pihoker
Department of Pediatrics, University of Washington, Seattle, Washington, USA.
Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA.
Kevin B. Kaiserman
SoCal Diabetes, Torrance, California, USA.
Medtronic, Northridge, California, USA.
for the MiniMed™ AHCL Study Group

Notes

Portions of data (excluding those from the real-world cohort analysis) have been presented at the American Association of Clinical Endocrinologists Annual Meeting, May 12–14, 2022 (San Diego, CA), the 15th International Conference on Advanced Technologies & Treatments for Diabetes, April 27–30, 2022 (Barcelona, Spain) and the 83rd Scientific Sessions of the American Diabetes Association, June 23–26, 2022 (San Diego, CA).
Address correspondence to: Toni L. Cordero, PhD, Medtronic, Medical Affairs, 18000 Devonshire Street, Northridge, CA 91325, USA [email protected]

Authors' Contributions

The principal investigator authors (R.H.S., G.P.F., D.I.S., R.P-B., J.R.T., M.S.K., M.P.C., B.A.B., C.P., J.L.S., and K.B.K) contributed substantially to the acquisition and interpretation of data and the critical review/revision of the article to a finalized version. The current and prior Medtronic (Northridge, CA) and Medtronic International Trading Sàrl (Tolochenaz, Switzerland) employee authors (T.L.C., D.Z., A.A., F.N., M.V., J.S., A.S.R., J.M., S.W.L., and R.A.V.) provided substantial contribution to the study design, data analyses and/or interpretation of data, and critically reviewed/revised the article to a finalized version.

Author Disclosure Statement

The pivotal trial investigators received funding and support from Medtronic (Northridge, CA) to conduct the study at each of their respective centers. G.P.F., conducts research supported by Medtronic, Dexcom, Abbott Diabetes Care, Tandem Diabetes Care, Insulet Corporation, Beta Bionics and Lilly, and has served as a speaker/consultant/advisory board member for Medtronic, Dexcom, Abbott Diabetes Care, Tandem Diabetes Care, Insulet Corporation, Beta Bionics, and Lilly. D.I.S. serves as advisory board member for Medtronic, R.P-B. has received research support from Medtronic and other consulting fees from Novo Nordisk, Bayer, Roche Diabetes Care, Averitas Pharma, Inc., and Nevro. J.R.T has served as advisory board and data safety monitoring board member to Medtronic and provided editorial support to Boehringer Ingelheim.
J.R.T. is President of the Arkansas Diabetes and Endocrinology Center and Medical Investigations, Inc., and has received research support and speaking fees from Medtronic and Lilly, research support from Novo Nordisk and Inversago Pharma, and speaking fees from Bayer. M.S.K. has served as advisory board member to Quest Diagnostics and Corcept Therapeutics and received research support from Abbott Diabetes Care, Aeterna Zentaris, Allergan Sales, LLC., Amgen, Ascendis Pharma, AstraZeneca, 89Bio, Inc., Biolinq, Inc., Corcept Therapeutics, Dexcom, Lily, Giliad Sciences, Inc., Inventiva BioPharma, Ionis Pharmaceuticals, Insulet Corporation, Kowa Research Institute, Inc., Lumos Pharma, Mannkind Corporation, Medtronic, Metacrine, Inc., NGM Biopharmaceuticals, Pfizer, Reata Pharmaceuticals, Regenacy Pharmaceuticals, Inc., Sagimet Biosciences, Senseonics, Inc., Tandem Diabetes Care, Tolerion, Inc., Vertex Pharmaceuticals, Inc., Zydus Discovery and Zydus Therapeutics Inc., M.P.C. discloses that Diablo Clinical Research has received funding to conduct research from Medtronic, Dexcom, Senseonics, Novo Nordisk, Lilly, Pfizer, Biolinq, Inc., and GraphWear.
B.A.B. has served as advisory board member for Medtronic, Novo Nordisk, and Lilly, and conducted studies sponsored by Medtronic, Tandem Diabetes Care, Insulet Corporation, the JDRF, and National Institutes of Health. C.P. has no competing financial disclosures. J.L.S. serves or has served on advisory panels for Bigfoot Biomedical, Cecelia Health, Insulet Corporation, Medtronic, StartUp Health Diabetes Moonshot, and Vertex Pharmaceuticals; has served as consultant to Abbott Diabetes Care, Bigfoot Biomedical, Insulet Corporation, Medtronic and Zealand Pharma. The Yale School of Medicine has received research support for J.L.S. from Abbott Diabetes Care, JAEB Center for Health Research, the JDRF, Insulet Corporation, Medtronic, the National Institutes of Health and ProventionBio. K.B.K is an employee of MannKind Corporation and has received research support from Medtronic.
The MiniMed™ 780G pump with Guardian™ 4 Sensor is approved by the Food and Drug Administration for individuals ≥7 years of age with T1D. The MiniMed™ 780G system includes technology developed by DreaMed Diabetes (Petah Tikvah, Israel).

Funding Information

This work was funded by Medtronic.

Metrics & Citations

Metrics

Citations

Export citation

Select the format you want to export the citations of this publication.

View Options

View options

PDF/EPUB

View PDF/EPUB

Access content

To read the fulltext, please use one of the options below to sign in or purchase access.

Society Access

If you are a member of a society that has access to this content please log in via your society website and then return to this publication.

Restore your content access

Enter your email address to restore your content access:

Note: This functionality works only for purchases done as a guest. If you already have an account, log in to access the content to which you are entitled.

Figures

Tables

Media

Share

Share

Copy the content Link

Share on social media

Back to Top