Skip to main content

EDITORIAL article

Front. Endocrinol., 04 May 2023
Sec. Clinical Diabetes
This article is part of the Research Topic Technologies for Diabetes View all 16 articles

Editorial: Technologies for diabetes

  • 1Department of Human Pathology in Adult and Developmental Age “Gaetano Barresi”, University of Messina, Messina, Italy
  • 2Department of Public Health and Paediatric Sciences, University of Turin-Regina Margherita Children Hospital-Azienda Ospedaliero-Universitaria (A.O.U.) Città della Salute e della Scienza di Torino, Turin, Italy
  • 3Division of Pediatric Endocrinology, Hospital Sant Joan de Déu, Barcelona, Spain
  • 4Metabolic Disorders and Diabetes Unit, “Giovanni XXIII” Children’s Hospital, Azienda Ospedaliero-Universitaria (AOU) Policlinico-Giovanni XXIII, Bari, Italy

Editorial on the Research Topic
Technologies for diabetes

Much progress has been made in technologies for diabetes mellitus over the last decade. Continuous glucose monitoring (CGM) and flash glucose monitoring (FGM) systems have achieved high accuracy and reliability, yielding a large use worldwide. The development of progressively smarter closed-loop systems, which combine insulin pumps and glucose monitoring systems allows for the minimization of hypo- and hyperglycemia through automatic insulin delivery. This Research Topic encloses high-quality manuscripts on the topic.

In her review, Templer offers an interesting update about the closed-loop systems used in the treatment of type 1 diabetes. She traces the rapid progress from the past and their use in the present, focusing attention on what future therapeutic strategies will be, including fully closed-loop systems. Questions regarding faster-acting insulin or the addition of other hormones (such as glucagon) to mitigate the risk of hypoglycemia or more advanced algorithms are debated. She concludes that the answers lay in the next generation of closed-loop therapy, which will probably use a combination of different therapeutic options. The step from hybrid closed loop (HCL) to advanced HCL (AHCL) allows an improvement in blood glucose control which is shown by real-world studies.

Flash glucose monitoring (FGM) is a novel device type capable of showing interstitial glucose and trends on a reader in an on-demand fashion, with good reproducibility and similar value to blood glucose measurements (1). The use of FGM is associated with better glucose outcomes in adults with type 1 diabetes (2) but is effective in reducing HbA1c and glucose variability in children and adolescents as well (3). The key role of education in properly using these technologies is highlighted by Lee et al. They demonstrated that personalized and continuous education may significantly improve blood glucose control in adult patients.

FGM and its interpretation have been shown to be effective also in the management of physical activities, using glucose values and trends to adapt therapy before, during, or after exercise (4). In the study by Guo et al., benefits around the system, as well as proper usage, have been shown to be related to actually watching the glucose values, while a blinded use resulted in similar values to usual care. Furthermore, Hohendorff et al. showed through the Hypoglycemia Fear Survey II questionnaire that the use of FGM is associated also with less fear of hypoglycemia, reducing diabetes distress. On the other hand, Franceschi et al. showed that the early use of FGM (within the first month after type 1 diabetes onset) plays an important role in metabolic control and quality of life in children and adolescents. In this real-world study, the authors showed a reduction of HbA1c during the first year and interestingly a longer partial remission phase in the group of patients with early use of FGM compared to the control group. This Research Topic also includes a paper on the effectiveness of FGM in adults with type 2 diabetes on premixed insulin therapy by Yan et al. They showed that real-time FGM improves blood glucose control and diabetes self-care better than retrospective FGM.

Diabetes is the main cause of chronic kidney disease (CKD), and it is mandatory to achieve optimal glycemic control with the aim to reduce the risk of progression of CKD and related death. It has been recently described that the use of CGM is recommended in patients with advanced CKD (5), but unfortunately, data are lacking in this population. Ling et al. review literature data and show that HbA1c and alternative glycemic markers have limitations in patients with advanced CKD, and thanks to CGM-derived glucose management indicator (GMI), it is now possible to monitor the glycemic status with better precision in these patients.

Using last-generation systems to time AHCL, an improvement in main glucose outcomes (namely time below –TBR-, in –TIR-, and above range - TAR) compared to Sensor Augmented Pump (SAP) therapy in a population of patients with type 1 diabetes has been demonstrated. Control-IQ (CIQ) system is one of the algorithms recently approved for children and adults with diabetes (6). The group by Bassi et al. published three papers about the effectiveness of new algorithms in blood glucose management. In the first paper, they investigated the effectiveness of a new function of CIQ in the improvements of glucose values during nighttime (Sleep Activity). They showed that it seems to be less effective than the standard CIQ algorithm in terms of TIR. In a head-to-head study, they compare two AHCL systems, Tandem t:slim X2 Control IQ™ system (Tandem Inc., San Diego, California) and the Minimed™ 780G system (Minimed Medtronic, Northridge, California), in 90 patients (aged 5 to 65 years) with type 1 diabetes enrolled in a retrospective dual-center study. On the basis of their results, the authors report that the Minimed 780G system seems more effective in managing hyperglycemia, while Tandem Control-IQ reduces the number of hypoglycemic episodes and glucose variability and that both systems achieve the recommended glycemic targets (Bassi et al.). On the other hand, the same authors show in their single-center study that after 1 year of use, the CIQ system allowed a TIR of 68%, which is significantly lower than the MiniMed 780G (71%) (Bassi et al.).

In type 1 diabetes pediatric real-world settings, a superiority of HCL systems versus other technologies as demonstrated by higher levels of time spent in the target glucose range and the reduction of both hypoglycemic and hyperglycemic events over a 1-year period (7) is reported.

Recently, Lombardo et al. (8) conducted a multicenter observational real-world 6-month study with the aim to investigate glycemic outcomes in a large cohort of children and adolescents with type 1 diabetes over the first 6-month use of MiniMed™ 780G, and the study shows that the most relevant targets are achieved according to International Consensus. Both at 3 and 6 months, 39.6% of participants reached all the glycemic targets (TIR, CV, GMI, and TBR). Authors also reported that older age, shorter disease duration, and shorter active insulin time are significant predictors of optimal glucose control (8).

The effectiveness of a SAP with predictive low glucose suspend (SmartGuard™) versus a pump with independent FGM (Freestyle libre®) has been investigated in 6 to 14 years old children with type 1 diabetes. No significant difference in blood glucose control is reported among the two groups, but the decision of all families to continue with CGM after the study suggests that this system has a positive impact on diabetes burden, preferring the SmartGuard® system (Schierloh et al.).

Technologies may also reveal how patients manage special events in their daily life. Molveau et al. investigated the impact of daily physical activity on nocturnal hypoglycemia through a blinded CGM. They concluded that patients do not properly report insulin boluses and compensation strategies, suggesting that appropriate education is still needed in such situations. CGM may be used also to investigate blood glucose control in the diagnostic work-up. In their paper, Zhang et al. compared CGM metrics between patients with type 2 diabetes and latent autoimmune diabetes (LADA). Interestingly, they showed that patients with LADA presented wider glucose variation and thus they suggested that data from CGM could be helpful for the diagnostic work-up in a patient with glucose control impairment.

Technologies have backlashes as well and dermatological complication is one of the most frequent. Skin exposure to chemical and mechanical agents may lead to skin disorders and, overall, to contact dermatitis. In their observational study, Passanisi et al. described the clinical impact of this specific complication, providing helpful information for clinicians about the current management and the possible effect of such problems.

Technologies for diabetes are a growing field of research and represent a great promise for patients with diabetes. We would like to end this Editorial by focusing the readers’ attention on relevant data for clinical practice. Over the last 5 years, we passed from the HCL system (MiniMed 670G®), which allowed a TIR of approximately 65 to 70% and a TBR below 4% (9), to the new AHCL systems which allow a TIR of approximately 75% and a further reduction in TBR (10, 11). Blood glucose control improves as fast as technologies for diabetes go on.

Author contributions

All authors listed, have made substantial, direct, and intellectual contribution to the work, and approved it for publication.

Acknowledgments

The Editorial Team member would like to thank the authors for participating to this Research Topic.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Moser O, Sternad C, Eckstein ML, Szadkowska A, Michalak A, Mader JK, et al. Performance of intermittently scanned continuous glucose monitoring (isCGM) systems in people with type 1 diabetes: a pooled analysis. Diab Obes Metab (2022) 24(3):522–9. doi: 10.1111/dom.14609

CrossRef Full Text | Google Scholar

2. Bruttomesso D, Laviola L, Avogaro A, Bonora E, Del Prato S, Frontoni S, et al. The use of real time continuous glucose monitoring or flash glucose monitoring in the management of diabetes: a consensus view of Italian diabetes experts using the Delphi method. Nutr Metab Cardiovasc Dis (2019) 29(5):421–31. doi: 10.1016/j.numecd.2019.01.018

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Zhang W, Liu Y, Sun B, Shen Y, Li M, Peng L, et al. Improved HbA1c and reduced glycaemic variability after 1-year intermittent use of flash glucose monitoring. Sci Rep (2021) 11(1):23950. doi: 10.1038/s41598-021-03480-9

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Moser O, Riddell MC, Eckstein ML, Adolfsson P, Rabasa-Lhoret R, van den Boom L, et al. Glucose management for exercise using continuous glucose monitoring (CGM) and intermittently scanned CGM (isCGM) systems in type 1 diabetes: position statement of the European association for the study of diabetes (EASD) and of the international society for pediatric and adolescent diabetes (ISPAD) endorsed by JDRF and supported by the American diabetes association (ADA). Pediatr Diab (2020) 21(8):1375–93. doi: 10.1111/pedi.13105

CrossRef Full Text | Google Scholar

5. Zelnick LR, Batacchi ZO, Ahmad I, Dighe A, Little RR, Trence DL, et al. Continuous glucose monitoring and use of alternative markers to assess glycemia in chronic kidney disease. Diab Care (2020) 43(10):2379. doi: 10.2337/dc20-0915

CrossRef Full Text | Google Scholar

6. Brown SA, Kovatchev BP, Raghinaru D, Lum JW, Buckingham BA, Kudva YC, et al. Six-month randomized, multicenter trial of closed-loop control in type 1 diabetes. N Engl J Med (2019) 381(18):1707–17. doi: 10.1056/NEJMoa1907863

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Bombaci B, Passanisi S, Alibrandi A, D’Arrigo G, Patroniti S, Averna S, et al. One-year real-world study on comparison among different continuous subcutaneous insulin infusion devices for the management of pediatric patients with type 1 diabetes: the supremacy of hybrid closed-loop systems. Int J Environ Res Public Health (2022) 19(16):10293. doi: 10.3390/ijerph191610293

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Lombardo F, Passanisi S, Alibrandi A, Bombaci B, Bonfanti R, Delvecchio M, et al. MiniMed 780G six-month use in children and adolescents with type 1 diabetes: clinical targets and predictors of optimal glucose control. Diab Technol Ther (2023). doi: 10.1089/dia.2022.0491

CrossRef Full Text | Google Scholar

9. Mameli C, Smylie GM, Galati A, Rapone B, Cardona-Hernandez R, Zuccotti G, et al. Safety, metabolic and psychological outcomes of medtronic MiniMed 670G in children, adolescents and young adults: a systematic review. Eur J Pediatr (2023) 21:1–15. doi: 10.1007/s00431-023-04833-4

CrossRef Full Text | Google Scholar

10. Castañeda J, Mathieu C, Aanstoot HJ, Arrieta A, Da Silva J, Shin J, et al. Predictors of time in target glucose range in real-world users of the MiniMed 780G system. Diab Obes Metab (2022) 24(11):2212–21. doi: 10.1111/dom.14807

CrossRef Full Text | Google Scholar

11. Forlenza GP, Carlson AL, Galindo RJ, Kruger DF, Levy CJ, McGill JB, et al. Real-world evidence supporting tandem control-IQ hybrid closed- loop success in the Medicare and Medicaid type 1 and type 2 diabetes populations. Diabetes Technol Ther (2022) 24(11):814–23. doi: 10.1089/dia.2022.0206

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: diabetes mellitus, technology, hybrid closed loop system, advanced hybrid closed loop system, flash glucose monitor, quality of life, MiniMed 780G, tandem control-IQ

Citation: Salzano G, Tinti D, Cardona-Hernandez R and Delvecchio M (2023) Editorial: Technologies for diabetes. Front. Endocrinol. 14:1198029. doi: 10.3389/fendo.2023.1198029

Received: 31 March 2023; Accepted: 05 April 2023;
Published: 04 May 2023.

Edited and Reviewed by:

Åke Sjöholm, Gävle Hospital, Sweden

Copyright © 2023 Salzano, Tinti, Cardona-Hernandez and Delvecchio. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Maurizio Delvecchio, bWRlbHZlY2NoaW83NUBnbWFpbC5jb20=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.