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Åm MK, Teigen IA, Riaz M, Fougner AL, Christiansen SC, Carlsen SM. The artificial pancreas: two alternative approaches to achieve a fully closed-loop system with optimal glucose control. J Endocrinol Invest 2024; 47:513-521. [PMID: 37715091 PMCID: PMC10904408 DOI: 10.1007/s40618-023-02193-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 09/01/2023] [Indexed: 09/17/2023]
Abstract
INTRODUCTION Diabetes mellitus type 1 is a chronic disease that implies mandatory external insulin delivery. The patients must monitor their blood glucose levels and administer appropriate insulin boluses to keep their blood glucose within the desired range. It requires a lot of time and endeavour, and many patients struggle with suboptimal glucose control despite all their efforts. MATERIALS AND METHODS This narrative review combines existing knowledge with new discoveries from animal experiments. DISCUSSION In the last decade, artificial pancreas (AP) devices have been developed to improve glucose control and relieve patients of the constant burden of managing their disease. However, a feasible and fully automated AP is yet to be developed. The main challenges preventing the development of a true, subcutaneous (SC) AP system are the slow dynamics of SC glucose sensing and particularly the delay in effect on glucose levels after SC insulin infusions. We have previously published studies on using the intraperitoneal space for an AP; however, we further propose a novel and potentially disruptive way to utilize the vasodilative properties of glucagon in SC AP systems. CONCLUSION This narrative review presents two lesser-explored viable solutions for AP systems and discusses the potential for improvement toward a fully automated system: A) using the intraperitoneal approach for more rapid insulin absorption, and B) besides using glucagon to treat and prevent hypoglycemia, also administering micro-boluses of glucagon to increase the local SC blood flow, thereby accelerating SC insulin absorption and SC glucose sensor site dynamics.
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Affiliation(s)
- M K Åm
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Postboks 8900, 7491, Trondheim, Norway.
| | - I A Teigen
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Postboks 8900, 7491, Trondheim, Norway
- Cancer Clinic, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
| | - M Riaz
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Postboks 8900, 7491, Trondheim, Norway
- Department of Endocrinology, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
| | - A L Fougner
- Department of Engineering Cybernetics, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology, Trondheim, Norway
| | - S C Christiansen
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Postboks 8900, 7491, Trondheim, Norway
- Department of Endocrinology, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
| | - S M Carlsen
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Postboks 8900, 7491, Trondheim, Norway
- Department of Endocrinology, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
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ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. 14. Children and Adolescents: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S258-S281. [PMID: 38078582 PMCID: PMC10725814 DOI: 10.2337/dc24-s014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Sherwood JS, Castellanos LE, O’Connor MY, Balliro CA, Hillard MA, Gaston SG, Bartholomew R, Greaux E, Sabean A, Zheng H, Marchetti P, Uluer A, Sawicki GS, Neuringer I, El-Khatib FH, Damiano ER, Russell SJ, Putman MS. Randomized Trial of the Insulin-Only iLet Bionic Pancreas for the Treatment of Cystic Fibrosis- Related Diabetes. Diabetes Care 2024; 47:101-108. [PMID: 37874987 PMCID: PMC10733649 DOI: 10.2337/dc23-1411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Accepted: 10/03/2023] [Indexed: 10/26/2023]
Abstract
OBJECTIVE Cystic fibrosis-related diabetes (CFRD) affects up to 50% of adults with cystic fibrosis and adds significant morbidity and treatment burden. We evaluated the safety and efficacy of automated insulin delivery with the iLet bionic pancreas (BP) in adults with CFRD in a single-center, open-label, random-order, crossover trial. RESEARCH DESIGN AND METHODS Twenty participants with CFRD were assigned in random order to 14 days each on the BP or their usual care (UC). No restrictions were placed on diet or activity. The primary outcome was the percent time sensor-measured glucose was in target range 70-180 mg/dL (time in range [TIR]) on days 3-14 of each arm, and key secondary outcomes included mean continuous glucose monitoring (CGM) glucose and the percent time sensor-measured glucose was in hypoglycemic range <54 mg/dL. RESULTS TIR was significantly higher in the BP arm than the UC arm (75 ± 11% vs. 62 ± 22%, P = 0.001). Mean CGM glucose was lower in the BP arm than in the UC arm (150 ± 19 vs. 171 ± 45 mg/dL, P = 0.007). There was no significant difference in percent time with sensor-measured glucose <54 mg/dL (0.27% vs. 0.36%, P = 1.0), although self-reported symptomatic hypoglycemia episodes were higher during the BP arm than the UC arm (0.7 vs. 0.4 median episodes per day, P = 0.01). No episodes of diabetic ketoacidosis or severe hypoglycemia occurred in either arm. CONCLUSIONS Adults with CFRD had improved glucose control without an increase in CGM-measured hypoglycemia with the BP compared with their UC, suggesting that this may be an important therapeutic option for this patient population.
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Affiliation(s)
| | | | | | - Courtney A. Balliro
- Diabetes Research Center, Massachusetts General Hospital, Boston, MA
- Beta Bionics Inc., Concord, MA
| | - Mallory A. Hillard
- Diabetes Research Center, Massachusetts General Hospital, Boston, MA
- Beta Bionics Inc., Concord, MA
| | | | | | - Evelyn Greaux
- Diabetes Research Center, Massachusetts General Hospital, Boston, MA
| | - Amy Sabean
- Diabetes Research Center, Massachusetts General Hospital, Boston, MA
| | - Hui Zheng
- Biostatics Center, Massachusetts General Hospital, Boston, MA
| | - Peter Marchetti
- Division of Pulmonary Medicine, Boston Children’s Hospital, Boston, MA
| | - Ahmet Uluer
- Division of Pulmonary Medicine, Boston Children’s Hospital, Boston, MA
- Division of Pulmonology, Brigham and Women’s Hospital, Boston, MA
| | | | - Isabel Neuringer
- Division of Pulmonology and Critical Care, Massachusetts General Hospital, Boston, MA
| | | | - Edward R. Damiano
- Beta Bionics Inc., Concord, MA
- Department of Biomedical Engineering, Boston University, Boston, MA
| | - Steven J. Russell
- Diabetes Research Center, Massachusetts General Hospital, Boston, MA
- Beta Bionics Inc., Concord, MA
| | - Melissa S. Putman
- Diabetes Research Center, Massachusetts General Hospital, Boston, MA
- Department of Endocrinology, Boston Children’s Hospital, Boston, MA
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4
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Oktavian P, Budi DS, Wibowo IN, Rusuldi RCR, Kusumawardhani AD, Wafa IA, Rahman HR, Pratama NR, Mudjanarko SW. Automated glycemic control with a bionic pancreas for type 1 diabetes mellitus: A systematic review and meta-analysis. Diabetes Metab Syndr 2023; 17:102847. [PMID: 37639999 DOI: 10.1016/j.dsx.2023.102847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 08/17/2023] [Accepted: 08/20/2023] [Indexed: 08/31/2023]
Abstract
BACKGROUND AND AIMS The use of a bionic pancreas with automated insulin delivery systems to prevent complications of diabetes mellitus shows conflicting results. We aimed to comprehensively discuss the potential use of a bionic pancreas in patients with type 1 diabetes (T1D). METHODS A systematic database search was conducted on October 24, 2022, for articles investigating the use of a bionic pancreas in patients with T1D. The hemoglobin A1c (HbA1c) level, mean glucose level, glucose coefficient of variability, time-in-range (TIR), and adverse events were investigated. RESULTS Nine studies were included in this review. The data from these studies suggested that the use of a bionic pancreas could reduce the HbA1c (mean difference [MD] = -0.40% [95% confidence interval {CI} = -0.59 to -0.21], I2 = 0%, p < 0.0001) and mean glucose levels (MD = -21.06 [95% CI = -24.66 to -17.46], I2 = 45%, p < 0.00001) and improve the TIR (MD = 14.41% [95% CI = 10.99 to 17.83], I2 = 60%, p < 0.00001). The most common adverse events reported were nausea and vomiting. CONCLUSIONS The use of a bionic pancreas shows potential in preventing complications of T1D by improving the TIR and decreasing the HbA1c and mean glucose levels. Furthermore, serious adverse events with the use of a bionic pancreas and standard of care show insignificant results, suggesting a good safety profile.
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Affiliation(s)
- Puguh Oktavian
- Faculty of Medicine Universitas Airlangga, Surabaya, Indonesia
| | | | | | | | | | - Ifan Ali Wafa
- Faculty of Medicine Universitas Airlangga, Surabaya, Indonesia
| | | | | | - Sony Wibisono Mudjanarko
- Division of Endocrinology, Metabolism, and Diabetes, Department of Internal Medicine, Dr. Soetomo General Academic Hospital, Faculty of Medicine Universitas Airlangga, Surabaya, Indonesia.
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5
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Cambuli VM, Baroni MG. Intelligent Insulin vs. Artificial Intelligence for Type 1 Diabetes: Will the Real Winner Please Stand Up? Int J Mol Sci 2023; 24:13139. [PMID: 37685946 PMCID: PMC10488097 DOI: 10.3390/ijms241713139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 08/18/2023] [Accepted: 08/22/2023] [Indexed: 09/10/2023] Open
Abstract
Research in the treatment of type 1 diabetes has been addressed into two main areas: the development of "intelligent insulins" capable of auto-regulating their own levels according to glucose concentrations, or the exploitation of artificial intelligence (AI) and its learning capacity, to provide decision support systems to improve automated insulin therapy. This review aims to provide a synthetic overview of the current state of these two research areas, providing an outline of the latest development in the search for "intelligent insulins," and the results of new and promising advances in the use of artificial intelligence to regulate automated insulin infusion and glucose control. The future of insulin treatment in type 1 diabetes appears promising with AI, with research nearly reaching the possibility of finally having a "closed-loop" artificial pancreas.
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Affiliation(s)
- Valentina Maria Cambuli
- Diabetology and Metabolic Diseaseas, San Michele Hospital, ARNAS Giuseppe Brotzu, 09121 Cagliari, Italy;
| | - Marco Giorgio Baroni
- Department of Clinical Medicine, Public Health, Life and Environmental Sciences, University of L’Aquila, 67100 L’Aquila, Italy
- Neuroendocrinology and Metabolic Diseases, IRCCS Neuromed, 86077 Pozzilli, Italy
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6
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Jancev M, Snoek FJ, Frederix GWJ, Knottnerus H, Blauw H, Witkop M, Moons KGM, van Bon AC, DeVries JH, Serné EH, van Sloten TT, de Valk HW. Dual hormone fully closed loop in type 1 diabetes: a randomised trial in the Netherlands - study protocol. BMJ Open 2023; 13:e074984. [PMID: 37612114 PMCID: PMC10450048 DOI: 10.1136/bmjopen-2023-074984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Accepted: 08/08/2023] [Indexed: 08/25/2023] Open
Abstract
INTRODUCTION The management of type 1 diabetes (T1DM) has undergone significant advancements with the availability of novel technologies, notably continuous and flash glucose monitoring (CGM and FGM, respectively) and hybrid closed loop (HCL) therapy. The dual hormone fully closed loop (DHFCL) approach with insulin and glucagon infusion has shown promising effects in small studies on glycaemic regulation and quality of life in T1DM. METHODS AND ANALYSIS The Dual Hormone Fully Closed Loop for Type 1 Diabetes (DARE) study is a non-commercial 12-month open-label, two-arm randomised parallel-group trial. The primary aim of this study is to determine the long-term effects on glycaemic control, patient-reported outcome measurements and cost-effectiveness of the DHFCL compared with usual care, that is, HCL or treatment with multiple daily insulin injections+FGM/CGM. We will include 240 adult patients with T1DM in 14 hospitals in the Netherlands. Individuals will be randomised 1:1 to the DHFCL or continuation of their current care. ETHICS AND DISSEMINATION Ethical approval has been obtained from the Medical Research Ethics Committee NedMec, Utrecht, the Netherlands. Findings will be disseminated through peer-reviewed publications and presentations at local, national and international conferences. TRIAL REGISTRATION NUMBER NCT05669547.
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Affiliation(s)
- Milena Jancev
- Vascular Medicine and Endocrinology, UMC Utrecht, Utrecht, The Netherlands
| | - Frank J Snoek
- Medical Psychology, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Geert W J Frederix
- Epidemiology & Health Economics, Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht University, Utrecht, The Netherlands
| | | | | | | | - Karel G M Moons
- Epidemiology & Health Economics, Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Arianne C van Bon
- Department of Internal Medicine, Rijnstate Hospital, Arnhem, The Netherlands
| | - J Hans DeVries
- Internal Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Erik H Serné
- Internal Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | | | - Harold W de Valk
- Vascular Medicine and Endocrinology, UMC Utrecht, Utrecht, The Netherlands
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7
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Lakshman R, Boughton C, Hovorka R. The changing landscape of automated insulin delivery in the management of type 1 diabetes. Endocr Connect 2023; 12:e230132. [PMID: 37289734 PMCID: PMC10448576 DOI: 10.1530/ec-23-0132] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 06/08/2023] [Indexed: 06/10/2023]
Abstract
Automated insulin delivery systems, also known as closed-loop or 'artificial pancreas' systems, are transforming the management of type 1 diabetes. These systems consist of an algorithm which responds to real-time glucose sensor levels by automatically modulating insulin delivery through an insulin pump. We review the rapidly changing landscape of automated insulin-delivery systems over recent decades, from initial prototypes to the different hybrid closed-loop systems commercially available today. We discuss the growing body of clinical trials and real-world evidence demonstrating their glycaemic and psychosocial benefits. We also address future directions in automated insulin delivery such as dual-hormone systems and adjunct therapy as well as the challenges around ensuring equitable access to closed-loop technology.
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Affiliation(s)
- Rama Lakshman
- Wellcome-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Charlotte Boughton
- Wellcome-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
- Cambridge University Hospitals NHS Foundation Trust, Wolfson Diabetes and Endocrine Clinic, Cambridge, UK
| | - Roman Hovorka
- Wellcome-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
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8
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Urbano F, Farella I, Brunetti G, Faienza MF. Pediatric Type 1 Diabetes: Mechanisms and Impact of Technologies on Comorbidities and Life Expectancy. Int J Mol Sci 2023; 24:11980. [PMID: 37569354 PMCID: PMC10418611 DOI: 10.3390/ijms241511980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 07/20/2023] [Accepted: 07/24/2023] [Indexed: 08/13/2023] Open
Abstract
Type 1 diabetes (T1D) is one of the most common chronic diseases in childhood, with a progressively increasing incidence. T1D management requires lifelong insulin treatment and ongoing health care support. The main goal of treatment is to maintain blood glucose levels as close to the physiological range as possible, particularly to avoid blood glucose fluctuations, which have been linked to morbidity and mortality in patients with T1D. Indeed, the guidelines of the International Society for Pediatric and Adolescent Diabetes (ISPAD) recommend a glycated hemoglobin (HbA1c) level < 53 mmol/mol (<7.0%) for young people with T1D to avoid comorbidities. Moreover, diabetic disease strongly influences the quality of life of young patients who must undergo continuous monitoring of glycemic values and the administration of subcutaneous insulin. In recent decades, the development of automated insulin delivery (AID) systems improved the metabolic control and the quality of life of T1D patients. Continuous subcutaneous insulin infusion (CSII) combined with continuous glucose monitoring (CGM) devices connected to smartphones represent a good therapeutic option, especially in young children. In this literature review, we revised the mechanisms of the currently available technologies for T1D in pediatric age and explored their effect on short- and long-term diabetes-related comorbidities, quality of life, and life expectation.
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Affiliation(s)
- Flavia Urbano
- Giovanni XXIII Pediatric Hospital, 70126 Bari, Italy;
| | - Ilaria Farella
- Clinica Medica “A. Murri”, University of Bari “Aldo Moro”, 70124 Bari, Italy;
| | - Giacomina Brunetti
- Department of Biosciences, Biotechnologies, and Environment, University of Bari “Aldo Moro”, 70125 Bari, Italy
| | - Maria Felicia Faienza
- Department of Precision and Regenerative Medicine and Ionian Area, University of Bari “Aldo Moro”, 70124 Bari, Italy;
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9
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Quattrin T, Mastrandrea LD, Walker LSK. Type 1 diabetes. Lancet 2023; 401:2149-2162. [PMID: 37030316 DOI: 10.1016/s0140-6736(23)00223-4] [Citation(s) in RCA: 34] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 12/03/2022] [Accepted: 01/26/2023] [Indexed: 04/10/2023]
Abstract
Type 1 diabetes is a chronic disease caused by autoimmune destruction of pancreatic β cells. Individuals with type 1 diabetes are reliant on insulin for survival. Despite enhanced knowledge related to the pathophysiology of the disease, including interactions between genetic, immune, and environmental contributions, and major strides in treatment and management, disease burden remains high. Studies aimed at blocking the immune attack on β cells in people at risk or individuals with very early onset type 1 diabetes show promise in preserving endogenous insulin production. This Seminar will review the field of type 1 diabetes, highlighting recent progress within the past 5 years, challenges to clinical care, and future directions in research, including strategies to prevent, manage, and cure the disease.
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Affiliation(s)
- Teresa Quattrin
- Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA; Diabetes Center, John R Oishei Children's Hospital, Buffalo, NY, USA.
| | - Lucy D Mastrandrea
- Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA; Diabetes Center, John R Oishei Children's Hospital, Buffalo, NY, USA
| | - Lucy S K Walker
- Institute of Immunity and Transplantation, Division of Infection and Immunity, University College London, London, UK
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10
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Lin YK, Agni A, Chuisano S, Fetters MD, Funnell M, Pop-Busui R, DeJonckheere MJ. Patient-Reported Usefulness and Challenges in Using Hypoglycemia-Informing Features of Continuous Glucose Monitors to Manage Hypoglycemia. Sci Diabetes Self Manag Care 2023; 49:229-238. [PMID: 37086168 PMCID: PMC10960636 DOI: 10.1177/26350106231168859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/23/2023]
Abstract
PURPOSE The purpose of this study series, which involves a questionnaire survey and qualitative interviews, was to (a) evaluate patient-reported usefulness of continuous glucose monitor (CGM) hypoglycemia-informing features and (b) identify challenges in using these features (ie, CGM glucose numbers, trend arrows, trend graphs, and hypoglycemia alarms) during hypoglycemia in adults with type 1 diabetes (T1DM). METHODS A cross-sectional questionnaire survey study was conducted with adults who have T1DM and were using CGMs to assess the perceived usefulness of hypoglycemia-informing features. A semistructured interview study with T1DM CGM-using adults and inductive thematic analysis were subsequently performed to identify challenges in using CGM hypoglycemia-informing features to manage hypoglycemia. RESULTS In the survey study (N = 252), the CGM glucose numbers, trend arrows, trend graphs, and hypoglycemia alarms were found to be very useful by 79%, 70%, 43%, and 64% of participants, respectively. Several challenges in using these features to manage hypoglycemia were identified in the qualitative study (N = 23): (1) hypoglycemia information not fully reliable,; (2) unpredictability of future blood glucose levels, (3) lack of awareness about how information can be used, and (4) disruptions associated with information. CONCLUSIONS Although the majority of T1DM adults found their CGMs' hypoglycemia-informing features helpful, challenges in optimally using these features persisted. Targeted knowledge and behavioral interventions could improve CGM use to reduce hypoglycemia.
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Affiliation(s)
- Yu Kuei Lin
- Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan
| | - Annika Agni
- Department of Family Medicine, University of Michigan Medical School, Ann Arbor, Michigan
| | - Samantha Chuisano
- Department of Family Medicine, University of Michigan Medical School, Ann Arbor, Michigan
| | - Michael D Fetters
- Department of Family Medicine, University of Michigan Medical School, Ann Arbor, Michigan
- Mixed Methods Program, University of Michigan Medical School, Ann Arbor, Michigan
| | - Martha Funnell
- Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, Michigan
| | - Rodica Pop-Busui
- Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan
| | - Melissa J DeJonckheere
- Department of Family Medicine, University of Michigan Medical School, Ann Arbor, Michigan
- Mixed Methods Program, University of Michigan Medical School, Ann Arbor, Michigan
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11
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Castellanos LE, Russell SJ, Damiano ER, Beck RW, Shah VN, Bailey R, Calhoun P, Bird K, Mauras N. The Insulin-Only Bionic Pancreas Improves Glycemic Control in Non-Hispanic White and Minority Adults and Children With Type 1 Diabetes. Diabetes Care 2023; 46:1185-1190. [PMID: 37000680 PMCID: PMC10234742 DOI: 10.2337/dc22-1478] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 03/03/2023] [Indexed: 04/01/2023]
Abstract
OBJECTIVE We evaluated the performance of the iLet bionic pancreas (BP) in non-Hispanic White individuals (here referred to as "Whites") and in Black, Hispanic, and other individuals (here collectively referred to as "Minorities"). RESEARCH DESIGN AND METHODS A multicenter, randomized controlled trial evaluated glycemic management with the BP versus standard of care (SC) in 161 adult and 165 pediatric participants with type 1 diabetes over 13 weeks. RESULTS In Whites (n = 240), the mean baseline-adjusted difference in 13-week HbA1c between the BP and SC groups was -0.45% (95% CI -0.61 to -0.29 [-4.9 mmol/mol; -6.6 to -3.1]; P < 0.001), while this difference among Minorities (n = 84) was -0.53% (-0.83 to -0.24 [-6.0 mmol/mol; -9.2 to -2.8]; P < 0.001). In Whites, the mean baseline-adjusted difference in time in range between the BP and SC groups was 10% (95% CI 7-12; P < 0.001) and in Minorities was 14% (10-18; P < 0.001). CONCLUSIONS The BP improves glycemic control in both Whites and Minorities and offers promise in decreasing health care disparities.
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Affiliation(s)
| | | | | | | | - Viral N. Shah
- Barbara Davis Center for Diabetes, University of Colorado, Aurora, CO
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12
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Lu JC, Lee P, Ierino F, MacIsaac RJ, Ekinci E, O'Neal D. Challenges of Glycemic Control in People With Diabetes and Advanced Kidney Disease and the Potential of Automated Insulin Delivery. J Diabetes Sci Technol 2023:19322968231174040. [PMID: 37162092 DOI: 10.1177/19322968231174040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Diabetes is the leading cause of chronic kidney disease (CKD) and end-stage kidney disease in the world. It is known that maintaining optimal glycemic control can slow the progression of CKD. However, the failing kidney impacts glucose and insulin metabolism and contributes to increased glucose variability. Conventional methods of insulin delivery are not well equipped to adapt to this increased glycemic lability. Automated insulin delivery (AID) has been established as an effective treatment in patients with type 1 diabetes mellitus, and there is emerging evidence for their use in type 2 diabetes mellitus. However, few studies have examined their role in diabetes with concurrent advanced CKD. We discuss the potential benefits and challenges of AID use in patients with diabetes and advanced CKD, including those on dialysis.
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Affiliation(s)
- Jean C Lu
- Department of Medicine, St Vincent's Hospital Melbourne, The University of Melbourne, Fitzroy, VIC, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Fitzroy, VIC, Australia
- Australian Centre for Accelerating Diabetes Innovations, The University of Melbourne, Parkville, VIC, Australia
| | - Petrova Lee
- Department of Nephrology, St Vincent's Hospital Melbourne, Fitzroy, VIC, Australia
| | - Francesco Ierino
- Department of Medicine, St Vincent's Hospital Melbourne, The University of Melbourne, Fitzroy, VIC, Australia
- Department of Nephrology, St Vincent's Hospital Melbourne, Fitzroy, VIC, Australia
- St Vincent's Institute of Medical Research, Fitzroy, VIC, Australia
| | - Richard J MacIsaac
- Department of Medicine, St Vincent's Hospital Melbourne, The University of Melbourne, Fitzroy, VIC, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Fitzroy, VIC, Australia
- Australian Centre for Accelerating Diabetes Innovations, The University of Melbourne, Parkville, VIC, Australia
| | - Elif Ekinci
- Australian Centre for Accelerating Diabetes Innovations, The University of Melbourne, Parkville, VIC, Australia
- Department of Endocrinology and Diabetes, Austin Health, Heidelberg, VIC, Australia
- Department of Medicine, Austin Hospital, The University of Melbourne, Heidelberg, VIC, Australia
| | - David O'Neal
- Department of Medicine, St Vincent's Hospital Melbourne, The University of Melbourne, Fitzroy, VIC, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Fitzroy, VIC, Australia
- Australian Centre for Accelerating Diabetes Innovations, The University of Melbourne, Parkville, VIC, Australia
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Qi Z, Tao X, Tan G, Tian B, Zhang L, Kundu SC, Lu S. Electro-responsive silk fibroin microneedles for controlled release of insulin. Int J Biol Macromol 2023; 242:124684. [PMID: 37148951 DOI: 10.1016/j.ijbiomac.2023.124684] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 04/23/2023] [Accepted: 04/27/2023] [Indexed: 05/08/2023]
Abstract
To date, very limited work has been done on convenient and active control of insulin release. Herein, we report an electro-responsive insulin delivery system based on thiolated silk fibroin. The disulfide cross-linking points in TSF were reduced and broken to form sulfhydryl groups under electrification, which led to the increase of microneedle swelling degree and promoted insulin release. After power failure, the sulfhydryl group is oxidised to form disulfide bond crosslinking point again, resulting in the reduction of microneedle swelling degree and thus the reduction of release rate. The insulin loaded in the electro-responsive insulin delivery system showed good reversible electroresponsive release performance. The addition of graphene reduced the microneedle resistance and increased the drug release rate under current conditions. In vivo studies on type 1 diabetic mice show that electro-responsive insulin delivery system effectively controls the blood glucose before and after feeding by switching on and off the power supply, and this blood glucose control can be maintained within the safe range (100-200 mg/dL) for a long time (11h). Such electrically responsive delivery microneedles show potential for integration with glucose signal monitoring and are expected to build closed-loop insulin delivery systems.
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Affiliation(s)
- Zhenzhen Qi
- National Engineering Laboratory for Modern Silk, College of Textile and Clothing Engineering, Soochow University, Suzhou 215123, People's Republic of China
| | - Xiaosheng Tao
- National Engineering Laboratory for Modern Silk, College of Textile and Clothing Engineering, Soochow University, Suzhou 215123, People's Republic of China
| | - Guohongfang Tan
- National Engineering Laboratory for Modern Silk, College of Textile and Clothing Engineering, Soochow University, Suzhou 215123, People's Republic of China
| | - Bin Tian
- National Engineering Laboratory for Modern Silk, College of Textile and Clothing Engineering, Soochow University, Suzhou 215123, People's Republic of China
| | - Lehao Zhang
- National Engineering Laboratory for Modern Silk, College of Textile and Clothing Engineering, Soochow University, Suzhou 215123, People's Republic of China
| | - Subhas C Kundu
- I3Bs Research Institute on Biomaterials, Biodegrabilities, and Biomimetics, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, University of Minho, Barco 4805017, Portugal
| | - Shenzhou Lu
- National Engineering Laboratory for Modern Silk, College of Textile and Clothing Engineering, Soochow University, Suzhou 215123, People's Republic of China.
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14
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Michou P, Gkiourtzis N, Christoforidis A, Kotanidou EP, Galli-Tsinopoulou A. The efficacy of automated insulin delivery systems in children and adolescents with Type 1 Diabetes Mellitus: a systematic review and meta-analysis of randomized controlled trials. Diabetes Res Clin Pract 2023; 199:110678. [PMID: 37094750 DOI: 10.1016/j.diabres.2023.110678] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 03/28/2023] [Accepted: 04/18/2023] [Indexed: 04/26/2023]
Abstract
AIMS Insulin administration is the treatment of choice for people with type 1 diabetes mellitus (T1D). Technological advances have led to the development of automated insulin delivery (AID) systems, aiming to optimize the quality of life of patients with T1D. We present a systematic review and meta-analysis of the current literature about the efficacy of AID systems in children and adolescents with T1D. METHODS We conducted a systematic literature search for randomized controlled trials (RCTs) until August 8th, 2022, investigating the efficacy of AID systems in the management of patients <21 years of age with T1D. A priori subgroup and sensitivity analyses based on different settings (free-living settings, type of AID system, parallel group or crossover design) were also conducted. RESULTS In total, 26 RCTs reporting a total of 915 children and adolescents with T1D were included in the meta-analysis. AID systems revealed statistically significant differences in the main outcomes, such as the proportion of time in the target glucose range (3.9-10 mmol/L) (p<0.00001), in hypoglycemia (<3.9 mmol/L) (p=0.003) and mean proportion of HbA1C (p=0.0007) compared to control group. CONCLUSIONS According to the present meta-analysis, AID systems are superior to insulin pump therapy, sensor-augmented pumps and multiple daily insulin injections. Most of the included studies have a high risk of bias because of allocation, blinding of patients and blinding of assessment. Our sensitivity analyses showed that patients <21 years of age with T1D can use AID systems, after proper education, following their daily activities. Further RCTs examining the effect of AID systems on nocturnal hypoglycemia, under free-living settings and studies examining the effect of dual-hormone AID systems are pending.
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Affiliation(s)
- Panagiota Michou
- Program of Postgraduate Studies Adolescent Medicine and Adolescent Health Care, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece, 54124; Department of Pediatrics, Gennimatas General Hospital of Thessaloniki, Thessaloniki, Greece, 54635.
| | - Nikolaos Gkiourtzis
- 4th Department of Pediatrics, Papageorgiou General Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece, 56429.
| | - Athanasios Christoforidis
- 1st Department of Pediatrics, Ippokrateio General Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece, 54643.
| | - Eleni P Kotanidou
- Program of Postgraduate Studies Adolescent Medicine and Adolescent Health Care, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece, 54124; 2nd Department of Pediatrics, AHEPA University General Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece, 54636.
| | - Asimina Galli-Tsinopoulou
- Program of Postgraduate Studies Adolescent Medicine and Adolescent Health Care, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece, 54124; 2nd Department of Pediatrics, AHEPA University General Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece, 54636.
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15
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Amiel S. Commentary to accompany Flatt et al., Automated insulin delivery for hypoglycemia avoidance and glucose counterregulation in longstanding type 1 diabetes with hypoglycemia unawareness. Diabetes Technol Ther 2023; 25:299-301. [PMID: 37017473 DOI: 10.1089/dia.2023.0138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/06/2023]
Affiliation(s)
- Stephanie Amiel
- King's College London, 4616, Diabetes, Weston Education Centre, 10, Cutcombe Road, London, United Kingdom of Great Britain and Northern Ireland, SE5 9RJ
- King's College London Faculty of Life Sciences and Medicine, 405987, London, United Kingdom of Great Britain and Northern Ireland, SE1 1UL;
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16
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Almurashi AM, Rodriguez E, Garg SK. Emerging Diabetes Technologies: Continuous Glucose Monitors/Artificial Pancreases. J Indian Inst Sci 2023; 103:1-26. [PMID: 37362851 PMCID: PMC10043869 DOI: 10.1007/s41745-022-00348-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 11/04/2022] [Indexed: 03/30/2023]
Abstract
Over the past decade there have been many advances in diabetes technologies, such as continuous glucose monitors (CGM s), insulin-delivery devices, and hybrid closed loop systems . Now most CGMs (Medtronic-Guardian, Dexcom-G6, and Abbott-Libre-2) have MARD values of < 10%, in contrast to two decades ago when the MARD used to be > 20%. In addition, the majority of the new CGMs do not require calibrations, and the latest CGMs last for 10-14 days. An implantable 6-months CGM by Eversense-3 is now approved in the USA and Europe. Recently, the FDA approved Libre 3 which provides real-time glucose values every minute. Even though it is approved as an iCGM it is not interoperable with automatic-insulin-delivery (AID) systems. The newer CGMs that are likely to be launched in the next few months in the USA include the 10-11 days Dexcom G7 (60% smaller than the existing G6), and the 7-days Medtronic Guardian 4. Most of the newer CGM have several features like automatic initialization, easy insertion, predictive alarms, and alerts. It has also been noticed that an arm insertion site might have better accuracy than abdomen or other sites, like the buttock for kids. Lag time between YSI and different sensors have been reported differently, sometimes it is down to 2-3 min; however, in many instances, it is still 15-20 min, especially when the rate of change of glucose is > 2 mg/min. We believe that in the next decade there will be a significant increase in the number of people who use CGM for their day-to-day diabetes care.
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Affiliation(s)
- Abdulhalim M. Almurashi
- Barbara Davis Center for Diabetes, University of Colorado Denver, 1775 Aurora Ct, Rm 1324, Aurora, CO 80045 USA
- Madinah Health Cluster, Madinah, Saudi Arabia
| | - Erika Rodriguez
- Barbara Davis Center for Diabetes, University of Colorado Denver, 1775 Aurora Ct, Rm 1324, Aurora, CO 80045 USA
| | - Satish K. Garg
- Barbara Davis Center for Diabetes, University of Colorado Denver, 1775 Aurora Ct, Rm 1324, Aurora, CO 80045 USA
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17
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[100 years of the commercialization of insulin: A race yet to end]. Med Clin (Barc) 2023; 160:268-274. [PMID: 36481116 DOI: 10.1016/j.medcli.2022.11.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 11/08/2022] [Accepted: 11/09/2022] [Indexed: 12/12/2022]
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18
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Min T, Bain SC. Emerging drugs for the treatment of type 1 diabetes mellitus: a review of phase 2 clinical trials. Expert Opin Emerg Drugs 2023; 28:1-15. [PMID: 36896700 DOI: 10.1080/14728214.2023.2188191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
Abstract
INTRODUCTION Despite therapeutic advances in the field of diabetes management since the discovery of insulin 100 years ago, there are still unmet clinical needs for people with type 1 diabetes mellitus (T1DM). AREAS COVERED Genetic testing and islet autoantibodies testing allow researchers to design prevention studies. This review discusses the emerging therapy for prevention of T1DM, disease modification therapy in early course of T1DM, and therapies and technologies for established T1DM. We focus on phase 2 clinical trials with promising results, thus avoiding the exhausted list of every new therapy for T1DM. EXPERT OPINION Teplizumab has demonstrated potential as a preventative agent for individuals at risk prior to the onset of overt dysglycemia. However, these agents are not without side effects, and there are uncertainties on long-term safety. Technological advances have led a substantial influence on quality of life of people suffering from T1DM. There remains variation in uptake of new technologies across the globe. Novel insulins (ultra-long acting), oral insulin, and inhaled insulin attempt to narrow the gap of unmet needs. Islet cell transplant is another exciting field, and stem cell therapy might have potential to provide unlimited supply of islet cells.
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Affiliation(s)
- Thinzar Min
- Diabetes Research Group, Swansea University Medical School, Swansea University, Swansea, UK
- Department of Diabetes and Endocrinology, Neath Port Talbot Hospital, Swansea Bay University Health Board, Swansea, UK
| | - Stephen C Bain
- Diabetes Research Group, Swansea University Medical School, Swansea University, Swansea, UK
- Department of Diabetes and Endocrinology, Singleton Hospital, Swansea Bay University Health Board, Swansea, UK
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19
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Scheen AJ, Lefèbvre PJ. Glucagon, from past to present: a century of intensive research and controversies. Lancet Diabetes Endocrinol 2023; 11:129-138. [PMID: 36566754 DOI: 10.1016/s2213-8587(22)00349-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 11/15/2022] [Accepted: 11/16/2022] [Indexed: 12/24/2022]
Abstract
2022 corresponds to the 100th anniversary of the discovery of glucagon. This TimeCapsule aims to recall the main steps leading to the discovery, characterisation, and clinical importance of the so-called second pancreatic hormone. We describe the early historical findings in basic research (ie, discovery, purification, structure, α-cell origin, radioimmunoassay, glucagon gene [GCG], and glucagon receptor [GLR]), in which three future Nobel Prize laureates were actively involved. Considered as an anti-insulin hormone, glucagon was rapidly used to treat insulin-induced hypoglycaemic coma episodes in people with type 1 diabetes. A key step in the story of glucagon was the discovery of its role and the role of α cells in the physiology and pathophysiology (ie, paracrinopathy) of type 2 diabetes. This concept led to the design of different strategies targeting glucagon, among which GLP-1 receptor (GLP1R) agonists were a major breakthrough, and combination of inhibition of glucagon secretion with stimulation of insulin secretion (both in a glucose-dependent manner). Taking advantage of the glucagon-induced increase in energy metabolism, biased coagonists were developed. Besides the GLP-1 receptor, these coagonists also target the glucagon receptor to further promote weight loss. Thus, the 100-year story of glucagon has most probably not come to an end.
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Affiliation(s)
- André J Scheen
- Division of Diabetes, Nutrition and Metabolic Disorders, Department of medicine, CHU Liège, Liège University, Liège, Belgium.
| | - Pierre J Lefèbvre
- Division of Diabetes, Nutrition and Metabolic Disorders, Department of medicine, CHU Liège, Liège University, Liège, Belgium
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20
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The Role of Platelets in Hypoglycemia-Induced Cardiovascular Disease: A Review of the Literature. Biomolecules 2023; 13:biom13020241. [PMID: 36830610 PMCID: PMC9953659 DOI: 10.3390/biom13020241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 01/23/2023] [Accepted: 01/25/2023] [Indexed: 01/31/2023] Open
Abstract
Cardiovascular diseases (CVDs) are the leading cause of death globally as well as the leading cause of mortality and morbidity in type 2 diabetes (T2D) patients. Results from large interventional studies have suggested hyperglycemia and poor glycemic control to be largely responsible for the development of CVDs. However, the association between hypoglycemia and cardiovascular events is also a key pathophysiological factor in the development of CVDs. Hypoglycemia is especially prevalent in T2D patients treated with oral sulfonylurea agents or exogenous insulin, increasing the susceptibility of this population to cardiovascular events. The adverse cardiovascular risk of hypoglycemia can persist even after the blood glucose levels have been normalized. Hypoglycemia may lead to vascular disease through mechanisms such as enhanced coagulation, oxidative stress, vascular inflammation, endothelial dysfunction, and platelet activation. In the following review, we summarize the evidence for the role of hypoglycemia in platelet activation and the subsequent effects this may have on the development of CVD. In addition, we review current evidence for the effectiveness of therapies in reducing the risk of CVDs.
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21
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Lindkvist EB, Laugesen C, Reenberg AT, Ritschel TKS, Svensson J, Jørgensen JB, Nørgaard K, Ranjan AG. Performance of a dual-hormone closed-loop system versus insulin-only closed-loop system in adolescents with type 1 diabetes. A single-blind, randomized, controlled, crossover trial. Front Endocrinol (Lausanne) 2023; 14:1073388. [PMID: 36755913 PMCID: PMC9899880 DOI: 10.3389/fendo.2023.1073388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 01/09/2023] [Indexed: 01/25/2023] Open
Abstract
Objective To assess the efficacy and safety of a dual-hormone (DH [insulin and glucagon]) closed-loop system compared to a single-hormone (SH [insulin only]) closed-loop system in adolescents with type 1 diabetes. Methods This was a 26-hour, two-period, randomized, crossover, inpatient study involving 11 adolescents with type 1 diabetes (nine males [82%], mean ± SD age 14.8 ± 1.4 years, diabetes duration 5.7 ± 2.3 years). Except for the treatment configuration of the DiaCon Artificial Pancreas: DH or SH, experimental visits were identical consisting of: an overnight stay (10:00 pm until 7:30 am), several meals/snacks, and a 45-minute bout of moderate intensity continuous exercise. The primary endpoint was percentage of time spent with sensor glucose values below range (TBR [<3.9 mmol/L]) during closed-loop control over the 26-h period (5:00 pm, day 1 to 7:00 pm, day 2). Results Overall, there were no differences between DH and SH for the following glycemic outcomes (median [IQR]): TBR 1.6 [0.0, 2.4] vs. 1.28 [0.16, 3.19]%, p=1.00; time in range (TIR [3.9-10.0 mmol/L]) 68.4 [48.7, 76.8] vs. 75.7 [69.8, 87.1]%, p=0.08; and time above range (TAR [>10.0 mmol/L]) 28.1 [18.1, 49.8] vs. 23.3 [12.3, 27.2]%, p=0.10. Mean ( ± SD) glucose was higher during DH than SH (8.7 ( ± 3.2) vs. 8.1 ( ± 3.0) mmol/L, p<0.001) but coefficient of variation was similar (34.8 ( ± 6.8) vs. 37.3 ( ± 8.6)%, p=0.20). The average amount of rescue carbohydrates was similar between DH and SH (6.8 ( ± 12.3) vs. 9.5 ( ± 15.4) grams/participant/visit, p=0.78). Overnight, TIR was higher, TAR was lower during the SH visit compared to DH. During and after exercise (4:30 pm until 7 pm) the SH configuration produced higher TIR, but similar TAR and TBR compared to the DH configuration. Conclusions DH and SH performed similarly in adolescents with type 1 diabetes during a 26-hour inpatient monitoring period involving several metabolic challenges including feeding and exercise. However, during the night and around exercise, the SH configuration outperformed DH.
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Affiliation(s)
- Emilie Bundgaard Lindkvist
- Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Christian Laugesen
- Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Asbjørn Thode Reenberg
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Tobias Kasper Skov Ritschel
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Jannet Svensson
- Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Pediatrics, Herlev and Gentofte University Hospital, Herlev, Denmark
| | - John Bagterp Jørgensen
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Kirsten Nørgaard
- Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ajenthen G. Ranjan
- Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
- Danish Diabetes Academy, Odense, Denmark
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22
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ElSayed NA, Aleppo G, Aroda VR, Bannuru RR, Brown FM, Bruemmer D, Collins BS, Hilliard ME, Isaacs D, Johnson EL, Kahan S, Khunti K, Leon J, Lyons SK, Perry ML, Prahalad P, Pratley RE, Seley JJ, Stanton RC, Gabbay RA, on behalf of the American Diabetes Association. 14. Children and Adolescents: Standards of Care in Diabetes-2023. Diabetes Care 2023; 46:S230-S253. [PMID: 36507640 PMCID: PMC9810473 DOI: 10.2337/dc23-s014] [Citation(s) in RCA: 74] [Impact Index Per Article: 74.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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23
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Díaz-Balzac CA, Pillinger D, Wittlin SD. Continuous subcutaneous insulin infusions: Closing the loop. J Clin Endocrinol Metab 2022; 108:1019-1033. [PMID: 36573281 DOI: 10.1210/clinem/dgac746] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Indexed: 12/29/2022]
Abstract
CONTEXT Continuous subcutaneous insulin infusions (CSIIs) and continuous glucose monitors (CGMs) have revolutionized the management of diabetes mellitus (DM). Over the last two decades the development of advanced, small, and user-friendly technology has progressed substantially, essentially closing the loop in the fasting and post-absorptive state, nearing the promise of an artificial pancreas. The momentum was mostly driven by the diabetes community itself, to improve its health and quality of life. EVIDENCE ACQUISITION Literature regarding CSII and CGM was reviewed. EVIDENCE SYNTHESIS Management of DM aims to regulate blood glucose to prevent long term micro and macrovascular complications. CSIIs combined with CGMs provide an integrated system to maintain tight glycemic control in a safe and uninterrupted fashion, while minimizing hypoglycemic events. Recent advances have allowed to 'close the loop' by better mimicking endogenous insulin secretion and glucose level regulation. Evidence supports sustained improvement in glycemic control with reduced episodes of hypoglycemia using these systems, while improving quality of life. Ongoing work in delivery algorithms with or without counterregulatory hormones will allow for further layers of regulation of the artificial pancreas. CONCLUSION Ongoing efforts to develop an artificial pancreas have created effective tools to improve the management of DM. CSIIs and CGMs are useful in diverse populations ranging from children to the elderly, as well as in various clinical contexts. Individually and more so together, these have had a tremendous impact in the management of DM, while avoiding treatment fatigue. However, cost and accessibility are still a hindrance to its wider application.
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Affiliation(s)
- Carlos A Díaz-Balzac
- Division of Endocrinology, Diabetes and Metabolism, University of Rochester Medical Center, 601 Elmwood Avenue, Box 693, Rochester, NY 14642, USA
| | - David Pillinger
- Division of Endocrinology, Diabetes and Metabolism, University of Rochester Medical Center, 601 Elmwood Avenue, Box 693, Rochester, NY 14642, USA
| | - Steven D Wittlin
- Division of Endocrinology, Diabetes and Metabolism, University of Rochester Medical Center, 601 Elmwood Avenue, Box 693, Rochester, NY 14642, USA
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24
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Kang SL, Hwang YN, Kwon JY, Kim SM. Effectiveness and safety of a model predictive control (MPC) algorithm for an artificial pancreas system in outpatients with type 1 diabetes (T1D): systematic review and meta-analysis. Diabetol Metab Syndr 2022; 14:187. [PMID: 36494830 PMCID: PMC9733359 DOI: 10.1186/s13098-022-00962-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 12/02/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND The purpose of this study was to assess the effectiveness and safety of a model predictive control (MPC) algorithm for an artificial pancreas system in outpatients with type 1 diabetes. METHODS We searched PubMed, EMBASE, Cochrane Central, and the Web of Science to December 2021. The eligibility criteria for study selection were randomized controlled trials comparing artificial pancreas systems (MPC, PID, and fuzzy algorithms) with conventional insulin therapy in type 1 diabetes patients. The heterogeneity of the overall results was identified by subgroup analysis of two factors including the intervention duration (overnight and 24 h) and the follow-up periods (< 1 week, 1 week to 1 month, and > 1 month). RESULTS The meta-analysis included a total of 41 studies. Considering the effect on the percentage of time maintained in the target range between the MPC-based artificial pancreas and conventional insulin therapy, the results showed a statistically significantly higher percentage of time maintained in the target range in overnight use (10.03%, 95% CI [7.50, 12.56] p < 0.00001). When the follow-up period was considered, in overnight use, the MPC-based algorithm showed a statistically significantly lower percentage of time maintained in the hypoglycemic range (-1.34%, 95% CI [-1.87, -0.81] p < 0.00001) over a long period of use (> 1 month). CONCLUSIONS Overnight use of the MPC-based artificial pancreas system statistically significantly improved glucose control while increasing time maintained in the target range for outpatients with type 1 diabetes. Results of subgroup analysis revealed that MPC algorithm-based artificial pancreas system was safe while reducing the time maintained in the hypoglycemic range after an overnight intervention with a long follow-up period (more than 1 month).
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Affiliation(s)
- Su Lim Kang
- Department of Medical Device and Healthcare, Dongguk University-Seoul, 26, Pil-Dong 3-Ga, Seoul, Jung-Gu 04620 Republic of Korea
| | - Yoo Na Hwang
- Department of Medical Device and Healthcare, Dongguk University-Seoul, 26, Pil-Dong 3-Ga, Seoul, Jung-Gu 04620 Republic of Korea
| | - Ji Yean Kwon
- Department of Medical Device and Healthcare, Dongguk University-Seoul, 26, Pil-Dong 3-Ga, Seoul, Jung-Gu 04620 Republic of Korea
| | - Sung Min Kim
- Department of Medical Device and Healthcare, Dongguk University-Seoul, 26, Pil-Dong 3-Ga, Seoul, Jung-Gu 04620 Republic of Korea
- Department of Medical Device Regulatory Science, Dongguk University-Seoul, 26, Pil-dong 3-Ga, Seoul, Jung-Gu 04620 Republic of Korea
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25
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Sherr JL, Schoelwer M, Dos Santos TJ, Reddy L, Biester T, Galderisi A, van Dyk JC, Hilliard ME, Berget C, DiMeglio LA. ISPAD Clinical Practice Consensus Guidelines 2022: Diabetes technologies: Insulin delivery. Pediatr Diabetes 2022; 23:1406-1431. [PMID: 36468192 DOI: 10.1111/pedi.13421] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 09/24/2022] [Indexed: 12/11/2022] Open
Affiliation(s)
- Jennifer L Sherr
- Department of Pediatrics, Yale School of Medicine, Yale University, New Haven, Connecticut, USA
| | - Melissa Schoelwer
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia, USA
| | | | - Leenatha Reddy
- Department of Pediatrics Endocrinology, Rainbow Children's Hospital, Hyderabad, India
| | - Torben Biester
- AUF DER BULT, Hospital for Children and Adolescents, Hannover, Germany
| | - Alfonso Galderisi
- Department of Woman and Child's Health, University of Padova, Padova, Italy
| | | | - Marisa E Hilliard
- Department of Pediatrics, Baylor College of Medicine and Texas Children's Hospital, Houston, Texas, USA
| | - Cari Berget
- Barbara Davis Center, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Linda A DiMeglio
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana, USA
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26
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Ware J, Hovorka R. Closed-loop insulin delivery: update on the state of the field and emerging technologies. Expert Rev Med Devices 2022; 19:859-875. [PMID: 36331211 PMCID: PMC9780196 DOI: 10.1080/17434440.2022.2142556] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 10/28/2022] [Indexed: 11/06/2022]
Abstract
INTRODUCTION Over the last five years, closed-loop insulin delivery systems have transitioned from research-only to real-life use. A number of systems have been commercialized and are increasingly used in clinical practice. Given the rapidity of new developments in the field, understanding the capabilities and key similarities and differences of current systems can be challenging. This review aims to provide an update on the state of the field of closed-loop insulin delivery systems, including emerging technologies. AREAS COVERED We summarize key clinical safety and efficacy evidence of commercial and emerging insulin-only hybrid closed-loop systems for type 1 diabetes. A literature search was conducted and clinical trials using closed-loop systems during free-living conditions were identified to report on safety and efficacy data. We comment on emerging technologies and adjuncts for closed-loop systems, as well as non-technological priorities in closed-loop insulin delivery. EXPERT OPINION Commercial hybrid closed-loop insulin delivery systems are efficacious, consistently improving glycemic control when compared to standard therapy. Challenges remain in widespread adoption due to clinical inertia and the lack of resources to embrace technological developments by health care professionals.
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Affiliation(s)
- Julia Ware
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
- Department of Pediatrics, University of Cambridge, Cambridge, United Kingdom
| | - Roman Hovorka
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
- Department of Pediatrics, University of Cambridge, Cambridge, United Kingdom
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Zeng B, Jia H, Gao L, Yang Q, Yu K, Sun F. Dual-hormone artificial pancreas for glucose control in type 1 diabetes: A meta-analysis. Diabetes Obes Metab 2022; 24:1967-1975. [PMID: 35638377 PMCID: PMC9542047 DOI: 10.1111/dom.14781] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 05/17/2022] [Accepted: 05/26/2022] [Indexed: 12/14/2022]
Abstract
AIM To evaluate the efficacy and safety of a dual-hormone artificial pancreas (DH) in type 1 diabetes. MATERIAL AND METHODS PubMed, Embase, the Cochrane Library and ClinicalTrials.gov were searched for studies published up to February 16, 2022. We included randomized controlled trials that compared DH with single-hormone artificial pancreas (SH), continuous subcutaneous insulin infusion (CSII) or sensor-augmented pumps (SAP), and predictive low glucose suspend systems (PLGS) in type 1 diabetes. The primary outcome was percent time in target (3.9-10 mmol/L [70-180 mg/dL]). Data were summarized as mean differences (MDs) or risk differences (RDs). RESULTS A total of 17 randomized crossover trials (438 participants) were included. There were nine trials of DH versus SH, 13 trials of DH versus SAP/CSII, and two trials of DH versus PLGS. For time in target, DH showed no significant difference in time in target compared with SH (MD 2.69%, 95% confidence interval [CI] -0.38 to 5.76) but resulted in 16.05% (95% CI 12.06 to 20.05) and 6.89% (95% CI 2.63 to 11.14) more time in target range compared with SAP/CSII and PLGS, respectively. DH slightly reduced time in hypoglycaemia (MD -1.20%, 95% CI -1.85 to -0.56) but increased the risk of gastrointestinal symptoms (RD 0.18, 95% CI 0.08 to 0.27) compared with SH. CONCLUSIONS The results of this study suggest that DH has a comparable effect on time in target compared with SH, but is associated with a longer time in target range compared with SAP/CSII and PLGS. The DH slightly reduced time in hypoglycaemia but may increase the risk of gastrointestinal symptoms compared with the SH. PROSPERO registration number: CRD42022314015.
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Affiliation(s)
- Baoqi Zeng
- Department of Science and EducationPeking University Binhai HospitalTianjinChina
| | - Hao Jia
- Drug Clinical Trial InstitutionPeking University Binhai HospitalTianjinChina
| | - Le Gao
- Department of Pharmacology and PharmacyThe University of Hong KongHong KongChina
| | - Qingqing Yang
- Department of Epidemiology and Biostatistics, School of Public HealthPeking University Health Science CentreBeijingChina
| | - Kai Yu
- Department of Science and EducationPeking University Binhai HospitalTianjinChina
| | - Feng Sun
- Department of Epidemiology and Biostatistics, School of Public HealthPeking University Health Science CentreBeijingChina
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Lewis DM, Hussain S. Practical Guidance on Open Source and Commercial Automated Insulin Delivery Systems: A Guide for Healthcare Professionals Supporting People with Insulin-Requiring Diabetes. Diabetes Ther 2022; 13:1683-1699. [PMID: 35913655 PMCID: PMC9399331 DOI: 10.1007/s13300-022-01299-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 07/08/2022] [Indexed: 01/15/2023] Open
Abstract
As increasing numbers of people with insulin-managed diabetes use automated insulin delivery (AID) systems or seek such technologies, healthcare providers are faced with a steep learning curve. Healthcare providers need to understand how to support these technologies to help inform shared decision making, discussing available options, implementing them in the clinical setting, and guiding users in special situations. At the same time, there is a growing diversity of commercial and open source automated insulin delivery systems that are evolving at a rapid pace. This practical guide seeks to provide a conversational framework for healthcare providers to first understand and then jointly assess AID system options with users and caregivers. Using this framework will help HCPs in learning how to evaluate potential new commercial or open source AID systems, while also providing a guide for conversations to help HCPs to assess the readiness and understanding of users for AID systems. The choice of an AID system is not as simple as whether the system is open source or commercially developed, and indeed there are multiple criteria to assess when choosing an AID system. Most importantly, the choices and preferences of the person living with diabetes should be at the center of any decision around the ideal automated insulin delivery system or any other diabetes technology. This framework highlights issues with AID use that may lead to burnout or perceived failures or may otherwise cause users to abandon the use of AID. It discusses the troubleshooting of basic AID system operation and discusses more advanced topics regarding how to maximize the time spent on AID systems, including how to optimize settings and behaviors for the best possible outcomes with AID technology for people with insulin-requiring diabetes. This practical approach article demonstrates how healthcare providers will benefit from assessing and better understanding all available AID system options to enable them to best support each individual.
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Affiliation(s)
| | - Sufyan Hussain
- Department of Diabetes and Endocrinology, Guy’s and St Thomas’ NHS Foundation Trust, London, UK
- Department of Diabetes, King’s College London, London, UK
- Institute of Diabetes, Endocrinology and Obesity, King’s Health Partners, London, UK
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Abstract
PURPOSE OF REVIEW Glucose management in the hospital is difficult due to non-static factors such as antihyperglycemic and steroid doses, renal function, infection, surgical status, and diet. Given these complex and dynamic factors, machine learning approaches can be leveraged for prediction of glucose trends in the hospital to mitigate and prevent suboptimal hypoglycemic and hyperglycemic outcomes. Our aim was to review the clinical evidence for the role of machine learning-based models in predicting hospitalized patients' glucose trajectory. RECENT FINDINGS The published literature on machine learning algorithms has varied in terms of population studied, outcomes of interest, and validation methods. There have been tools developed that utilize data from both continuous glucose monitors and large electronic health records (EHRs). With increasing sample sizes, inclusion of a greater number of predictor variables, and use of more advanced machine learning algorithms, there has been a trend in recent years towards increasing predictive accuracy for glycemic outcomes in the hospital setting. While current models predicting glucose trajectory offer promising results, they have not been tested prospectively in the clinical setting. Accurate machine learning algorithms have been developed and validated for prediction of hypoglycemia and hyperglycemia in the hospital. Further work is needed in implementation/integration of machine learning models into EHR systems, with prospective studies to evaluate effectiveness and safety of such clinical decision support on glycemic and other clinical outcomes.
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Affiliation(s)
- Andrew Zale
- Division of Endocrinology, Diabetes & Metabolism, Division of Biomedical Informatics and Data Science, Johns Hopkins University School of Medicine, Baltimore, MD 21287 USA
| | - Nestoras Mathioudakis
- Division of Endocrinology, Diabetes & Metabolism, Division of Biomedical Informatics and Data Science, Johns Hopkins University School of Medicine, Baltimore, MD 21287 USA
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Abstract
PURPOSE OF REVIEW Closed-loop insulin pump systems (artificial pancreas) represent the cutting edge of insulin delivery technology. There are only a few systems currently approved for use in the USA: the MiniMed 670G/770G (which share an algorithm), t:slim X2 Control IQ, and the Omnipod 5. We review these systems and look into the future of the technology. RECENT FINDINGS All of the approved closed-loop insulin pump systems have demonstrated in multicenter prospective trials improvements in time in range, hemoglobin A1c, and time spent in hypoglycemia. The newer systems have also improved time spent in automation. Comparisons between the systems with regard to glycemic control are difficult to make due to differences in clinical trial design, but there are notable differences in the user experience between systems. The past few years have been a time of exponential development in the field of closed-loop insulin pump systems. However, more research is needed to provide full automation of these systems without any need for information from the user.
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Affiliation(s)
- Keren Zhou
- Endocrinology and Metabolism Institute, Cleveland Clinic, 9500 Euclid Avenue, F20, Cleveland, OH, 44195, US.
| | - Diana Isaacs
- Endocrinology and Metabolism Institute, Cleveland Clinic, 9500 Euclid Avenue, F20, Cleveland, OH, 44195, US
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Fushimi E, De Battista H, Garelli F. A Dual-Hormone Multicontroller for Artificial Pancreas Systems. IEEE J Biomed Health Inform 2022; 26:4743-4750. [PMID: 35704538 DOI: 10.1109/jbhi.2022.3182581] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Artificial pancreas (AP) algorithms can be divided into single-hormone (SH) and dual-hormone (DH). SH algorithms regulate glycemia using insulin as their control input. On the other hand, DH algorithms also use glucagon to counteract insulin. While SH-AP systems are already commercially available, DH-AP systems are still in an earlier research phase. DH-AP systems have been questioned since the added complexity of glucagon infusion does not always guarantee hypoglycemia prevention and might significantly raise insulin delivery. In this work, a DH multicontroller is proposed based on a SH linear quadratic gaussian (LQG) algorithm with an additional LQG controller to deliver glucagon. This strategy has a switched structure that allows activating one of the following three controllers when necessary: a conservative insulin LQG controller to modulate basal delivery ( K1), an aggressive insulin LQG controller to counteract meals ( K2), or a glucagon LQG controller to avoid imminent hypoglycemia ( K3). Here, an in silico study of the benefits of incorporating controller K3 is carried out. Intra-patient variability and mixed meals are considered. Results indicate that the proposed switched, dual-hormone strategy yields to a reduction in hypoglycemia without increasing hyperglycemia, with no significant rise in insulin delivery.
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Affiliation(s)
- Mark A Sperling
- From the Department of Pediatrics, Division of Endocrinology and Diabetes, Icahn School of Medicine at Mount Sinai, New York (M.A.S.); and the Pediatric, Adolescent, and Young Adult Section, Joslin Diabetes Center, and Harvard Medical School - both in Boston (L.M.L.)
| | - Lori M Laffel
- From the Department of Pediatrics, Division of Endocrinology and Diabetes, Icahn School of Medicine at Mount Sinai, New York (M.A.S.); and the Pediatric, Adolescent, and Young Adult Section, Joslin Diabetes Center, and Harvard Medical School - both in Boston (L.M.L.)
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León-Vargas F, Arango Oviedo JA, Luna Wandurraga HJ. Two Decades of Research in Artificial Pancreas: Insights from a Bibliometric Analysis. J Diabetes Sci Technol 2022; 16:434-445. [PMID: 33853377 PMCID: PMC8861788 DOI: 10.1177/19322968211005500] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Artificial pancreas is a well-known research topic devoted to achieving better glycemic outcomes that has been attracting increasing attention over the years. However, there is a lack of systematic, chronological, and synthesizing studies that show the background of the knowledge generation in this field. This study implements a bibliometric analysis to recognize the main documents, type of publications, research categories, countries, keywords, organizations, and authors related to this topic. METHODS Web of Science core collection database was accessed from 2000 to 2020 in order to select high-quality scientific documents based on a specific search query. Bibexcel, MS Excel, Power BI, R-Studio, VOSviewer, and CorText software were used for a descriptive and network analysis based on the local database obtained. Bibliometric parameters as the h-index, frequencies, co-authorship and co-ocurrences were computed. RESULTS A total of 756 documents were included that show a growing scientific production on this topic with an increasing contribution from engineering. Outstanding authors, organizations, and countries were identified. An analysis of trends in research was conducted according to the scientific categories of the Web of Science database to identify the main research interests of the last 2 decades and the emerging areas with greater prominence in the coming years. A keyword network analysis allowed to identify the main stages in the development of the AP research over time. CONCLUSIONS Results reveal a comprehensive background of the knowledge generation for the AP topic during the last 2 decades, which has been strengthened with international collaborations and a remarkable interdisciplinarity between endocrinology and engineering, giving rise to a growing number of research areas over time, where computer science and medical informatics stand out as the main emerging research areas.
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Affiliation(s)
- Fabian León-Vargas
- Universidad Antonio Nariño, Bogotá,
Colombia
- Fabian León-Vargas, PhD, Universidad
Antonio Nariño, Cll 22 Sur # 12D – 81, Bogotá, 111511, Colombia.
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Fang Z, Liu M, Tao J, Li C, Zou F, Zhang W. Efficacy and safety of closed-loop insulin delivery versus sensor-augmented pump in the treatment of adults with type 1 diabetes: a systematic review and meta-analysis of randomized-controlled trials. J Endocrinol Invest 2022; 45:471-481. [PMID: 34535888 DOI: 10.1007/s40618-021-01674-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 09/02/2021] [Indexed: 12/21/2022]
Abstract
BACKGROUND Controversy remains regarding whether closed-loop (CL) insulin delivery or insulin sensor-augmented pump (SAP) delivery is more efficient for clinical treatment. Therefore, we aimed to compare the efficacy and safety of CL insulin delivery systems versus insulin SAP delivery for adults with type 1 diabetes (T1D). METHODS Embase, Ovid MEDLINE, PubMed, ScienceDirect, Scopus, the Cochrane Library, and other databases were searched for related articles, and we analyzed the average blood glucose (BG), time in range (TIR), and adverse effects (AEs) as primary endpoints to evaluate efficacy and safety. RESULTS Of 1616 articles, 12 randomized-controlled trials (RCTs) were included in the final analysis. Regarding BG control efficacy, CL insulin delivery resulted better outcomes than SAP therapy with regard to the average BG value, which was detected and recorded by continuous glucose monitoring (mean difference [MD][mmol/L]: - 0.25 95% confidence interval [CI] - 0.42 to - 0.08, p = 0.003); TIR 3.9-10 mmol/L (MD [%]: 7.91 95% CI 4.45-11.37, p < 0.00001). Similar results were observed for the secondary outcomes including low blood glucose index (LBGI) (MD: - 0.41 95% CI - 0.55 to - 0.26, p < 0.00001), high blood glucose index (HBGI) (MD: - 2.56 95% CI - 3.38 to - 1.74, p < 0.00001), and standard deviation (SD) of glucose variability (MD [mmol/L]: -0.25 95% CI - 0.44 to - 0.06, p = 0.01). Furthermore, SAP therapy was associated with more adverse effects (risk ratio: 0.20 95% CI 0.07-0.52, p = 0.001) than CL insulin delivery, and one of the most common adverse effects was hypoglycemia. CONCLUSIONS CL insulin delivery appears to be a better treatment method than SAP therapy for adults with T1D because of its increased BG control efficacy and decreased number of hypoglycemic events.
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Affiliation(s)
- Z Fang
- Department of Thoracic Surgery, The Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, 330006, China
- Jiangxi Medical College, Nanchang University, Nanchang, 330006, China
| | - M Liu
- Jiangxi Medical College, Nanchang University, Nanchang, 330006, China
- Department of Endocrinology, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China
| | - J Tao
- Jiangxi Medical College, Nanchang University, Nanchang, 330006, China
- Department of Endocrinology, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China
| | - C Li
- Jiangxi Medical College, Nanchang University, Nanchang, 330006, China
- Department of Endocrinology, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China
| | - F Zou
- Department of Endocrinology, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China
| | - W Zhang
- Department of Thoracic Surgery, The Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, 330006, China.
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Ware J, Hovorka R. Recent advances in closed-loop insulin delivery. Metabolism 2022; 127:154953. [PMID: 34890648 PMCID: PMC8792215 DOI: 10.1016/j.metabol.2021.154953] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 11/05/2021] [Accepted: 11/24/2021] [Indexed: 02/03/2023]
Abstract
Since the discovery of insulin 100 years ago, we have seen considerable advances across diabetes therapies. The more recent advent of glucose-responsive automated insulin delivery has started to revolutionise the management of type 1 diabetes in children and adults. Evolution of closed-loop insulin delivery from research to clinical practice has been rapid, and multiple systems are now commercially available. In this review, we summarise key evidence on currently available closed-loop systems and those in development. We comment on dual-hormone and do-it-yourself systems, as well as reviewing clinical evidence in special populations such as very young children, older adults and in pregnancy. We identify future directions for research and barriers to closed-loop adoption, including how these might be addressed to ensure equitable access to this novel therapy.
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Affiliation(s)
- Julia Ware
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom; Department of Paediatrics, University of Cambridge, Cambridge, United Kingdom
| | - Roman Hovorka
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom; Department of Paediatrics, University of Cambridge, Cambridge, United Kingdom.
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Swain J, Jena S, Manglunia A, Singh J. The journey of insulin over 100 years. JOURNAL OF DIABETOLOGY 2022. [DOI: 10.4103/jod.jod_100_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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Templer S. Closed-Loop Insulin Delivery Systems: Past, Present, and Future Directions. Front Endocrinol (Lausanne) 2022; 13:919942. [PMID: 35733769 PMCID: PMC9207329 DOI: 10.3389/fendo.2022.919942] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 05/06/2022] [Indexed: 12/16/2022] Open
Abstract
Closed-loop (artificial pancreas) systems for automated insulin delivery have been likened to the holy grail of diabetes management. The first iterations of glucose-responsive insulin delivery were pioneered in the 1960s and 1970s, with the development of systems that used venous glucose measurements to dictate intravenous infusions of insulin and dextrose in order to maintain normoglycemia. Only recently have these bulky, bedside technologies progressed to miniaturized, wearable devices. These modern closed-loop systems use interstitial glucose sensing, subcutaneous insulin pumps, and increasingly sophisticated algorithms. As the number of commercially available hybrid closed-loop systems has grown, so too has the evidence supporting their efficacy. Future challenges in closed-loop technology include the development of fully closed-loop systems that do not require user input for meal announcements or carbohydrate counting. Another evolving avenue in research is the addition of glucagon to mitigate the risk of hypoglycemia and allow more aggressive insulin dosing.
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AIM in Endocrinology. Artif Intell Med 2022. [DOI: 10.1007/978-3-030-64573-1_328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2022]
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Braune K, Lal RA, Petruželková L, Scheiner G, Winterdijk P, Schmidt S, Raimond L, Hood KK, Riddell MC, Skinner TC, Raile K, Hussain S. Open-source automated insulin delivery: international consensus statement and practical guidance for health-care professionals. Lancet Diabetes Endocrinol 2022; 10:58-74. [PMID: 34785000 PMCID: PMC8720075 DOI: 10.1016/s2213-8587(21)00267-9] [Citation(s) in RCA: 50] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Revised: 09/14/2021] [Accepted: 09/15/2021] [Indexed: 01/15/2023]
Abstract
Open-source automated insulin delivery systems, commonly referred to as do-it-yourself automated insulin delivery systems, are examples of user-driven innovations that were co-created and supported by an online community who were directly affected by diabetes. Their uptake continues to increase globally, with current estimates suggesting several thousand active users worldwide. Real-world user-driven evidence is growing and provides insights into safety and effectiveness of these systems. The aim of this consensus statement is two-fold. Firstly, it provides a review of the current evidence, description of the technologies, and discusses the ethics and legal considerations for these systems from an international perspective. Secondly, it provides a much-needed international health-care consensus supporting the implementation of open-source systems in clinical settings, with detailed clinical guidance. This consensus also provides important recommendations for key stakeholders that are involved in diabetes technologies, including developers, regulators, and industry, and provides medico-legal and ethical support for patient-driven, open-source innovations.
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Affiliation(s)
- Katarina Braune
- Department of Paediatric Endocrinology and Diabetes, Charité-Universitätsmedizin Berlin, Berlin, Germany; Institute of Medical Informatics, Charité-Universitätsmedizin Berlin, Berlin, Germany; Berlin Institute of Health, Berlin, Germany
| | - Rayhan A Lal
- Stanford Diabetes Research Center, Stanford University School of Medicine, Stanford University, Stanford, CA, USA.
| | - Lenka Petruželková
- Department of Pediatrics, University Hospital Motol, Prague, Czech Republic
| | | | - Per Winterdijk
- Diabeter, Center for Pediatric and Adult Diabetes Care and Research, Rotterdam, Netherlands
| | | | | | - Korey K Hood
- Stanford Diabetes Research Center, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | | | - Timothy C Skinner
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark; La Trobe Rural Health School, La Trobe University, Bendigo, VIC, Australia
| | - Klemens Raile
- Department of Paediatric Endocrinology and Diabetes, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Sufyan Hussain
- Department of Diabetes and Endocrinology, Guy's and St Thomas' Hospital NHS Trust, London, UK; Department of Diabetes, King's College London, London, UK; Institute of Diabetes, Endocrinology and Obesity, King's Health Partners, London, UK.
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Biester T, Tauschmann M, Chobot A, Kordonouri O, Danne T, Kapellen T, Dovc K. The automated pancreas: A review of technologies and clinical practice. Diabetes Obes Metab 2022; 24 Suppl 1:43-57. [PMID: 34658126 DOI: 10.1111/dom.14576] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Revised: 10/07/2021] [Accepted: 10/07/2021] [Indexed: 12/12/2022]
Abstract
Insulin pumps and glucose sensors are effective in improving diabetes therapy and reducing acute complications. The combination of both devices using an algorithm-driven interoperable controller makes automated insulin delivery (AID) systems possible. Many AID systems have been tested in clinical trials and have proven safety and effectiveness. However, currently, none of these systems are available for routine use in children younger than 6 years in Europe. For continued use, both users and prescribers must have sound knowledge of the features of the individual AID systems. Presently, all systems require various user interactions (e.g. meal announcements) because fully automated systems are not yet developed. Open-source systems are non-regulated variants to circumvent existing regulatory conditions. There are risks here for both users and prescribers. To evaluate AID therapy, the metric data of the glucose sensors, 'time in target range' and 'glucose management index', are novel recognized and suitable parameters allowing a consultation based on real glucose and insulin pump download data from the daily life of people with diabetes. Read out via cloud-based software or automatic download of such individual treatment data provides the ideal technical basis for shared decision-making through telemedicine, which must be further evaluated for general use.
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Affiliation(s)
- Torben Biester
- AUF DER BULT, Diabetes Center for Children and Adolescents, Hannover, Germany
| | - Martin Tauschmann
- Department of Pediatric and Adolescent Medicine, Medical University of Vienna, Vienna, Austria
| | - Agata Chobot
- Department of Pediatrics, Institute of Medical Sciences, University of Opole, Opole, Poland
| | - Olga Kordonouri
- AUF DER BULT, Diabetes Center for Children and Adolescents, Hannover, Germany
| | - Thomas Danne
- AUF DER BULT, Diabetes Center for Children and Adolescents, Hannover, Germany
| | - Thomas Kapellen
- Department of Pediatrics, MEDIAN Clinic for Children 'Am Nicolausholz' Bad Kösen, Naumburg, Germany
| | - Klemen Dovc
- Department of Pediatric Endocrinology, Diabetes and Metabolic Diseases, UMC - University Children's Hospital, Ljubljana, Slovenia and Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
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Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc22-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc22-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Abstract
Closed-loop insulin delivery systems are fast becoming the standard of care in the management of type 1 diabetes and have led to significant improvements in diabetes management. Nevertheless, there is still room for improvement for the closed-loop systems to optimize treatment and meet target glycemic control. Adjunct treatments have been introduced as an alternative method to insulin-only treatment methods to overcome diabetes treatment challenges and improve clinical and patient reported outcomes during closed-loop treatment. The adjunct treatment agents mostly consist of medications that are already approved for type 2 diabetes treatment and aim to complete the missing physiologic factors, such as the entero-endocrine system, that regulate glycemia in addition to insulin. This paper will review many of these adjunct therapies, including the basic mechanisms of action, potential benefits, side effects, and the evidence supporting their use during closed-loop treatment.
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Affiliation(s)
- Shylaja Srinivasan
- Division of Pediatric Endocrinology and
Diabetes, University of San Francisco, CA, USA
| | - Laya Ekhlaspour
- Division of Pediatric Endocrinology and
Diabetes, Stanford University, Palo Alto, CA, USA
| | - Eda Cengiz
- Division of Pediatric Endocrinology and
Diabetes, Yale University, New Haven, NJ, USA
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Pinnaro CT, Tansey MJ. The Evolution of Insulin Administration in Type 1 Diabetes. JOURNAL OF DIABETES MELLITUS 2021; 11:249-277. [PMID: 37745178 PMCID: PMC10516284 DOI: 10.4236/jdm.2021.115021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Insulin has been utilized in the treatment of type 1 diabetes (T1D) for 100 years. While there is still no cure for T1D, insulin administration has undergone a remarkable evolution which has contributed to improvements in quality of life and life expectancy in individuals with T1D. The advent of faster-acting and longer-acting insulins allowed for the implementation of insulin regimens more closely resembling normal insulin physiology. These improvements afforded better glycemic control, which is crucial for limiting microvascular complications and improving T1D outcomes. Suspension of insulin delivery in response to actual and forecasted hypoglycemia has improved quality of life and mitigated hypoglycemia without compromising glycemic control. Advances in continuous glucose monitoring (CGM) and insulin pumps, efforts to model glucose and insulin kinetics, and the application of control theory to T1D have made the automation of insulin delivery a reality. This review will summarize the past, present, and future of insulin administration in T1D.
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Affiliation(s)
- Catherina T Pinnaro
- University of Iowa Stead Family Department of Pediatrics
- Fraternal Order of Eagles Diabetes Research Center
| | - Michael J Tansey
- University of Iowa Stead Family Department of Pediatrics
- Fraternal Order of Eagles Diabetes Research Center
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Abstract
Automated insulin delivery (AID) is the most recent advance in type 1 diabetes (T1D) management. It has the potential to achieve glycemic targets without disabling hypoglycemia, to improve quality of life and reduce diabetes distress and burden associated with self-management. Several AID systems are currently licensed for use by people with T1D in Europe, United States, and the rest of the world. Despite AID becoming a reality in routine clinical practice over the last few years, the commercially hybrid AID and other systems, are still far from a fully optimized automated diabetes management tool. Implementation of AID systems requires education and support of healthcare professionals taking care of people with T1D, as well as users and their families. There is much to do to increase usability, portability, convenience and to reduce the burden associated with the use of the systems. Co-design, involvement of people with lived experience of T1D and robust qualitative assessment is critical to improving the real-world use of AID systems, especially for those who may have greater need. In addition to this, information regarding the psychosocial impact of the use of AID systems in real life is needed. The first commercially available AID systems are not the end of the development journey but are the first step in learning how to optimally automate insulin delivery in a way that is equitably accessible and effective for people living with T1D.
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Affiliation(s)
- Marga Giménez
- Diabetes Unit, Endocrinology and
Nutrition Department, Hospital Clínic i Universitari, Barcelona, Spain
- CIBERDEM, Centro de Investigación
Biomédica en Red de Diabetes y Enfermedades Metabólicas, Madrid, Spain
- IDIBAPS, Institut
d’Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - Ignacio Conget
- Diabetes Unit, Endocrinology and
Nutrition Department, Hospital Clínic i Universitari, Barcelona, Spain
- CIBERDEM, Centro de Investigación
Biomédica en Red de Diabetes y Enfermedades Metabólicas, Madrid, Spain
- IDIBAPS, Institut
d’Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
| | - Nick Oliver
- Department of Metabolism,
Digestion and Reproduction, Faculty of Medicine, Imperial College London,
London, UK
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Rayannavar A, Mitteer LM, Balliro CA, El-Khatib FH, Lord KL, Hawkes CP, Ballester LS, Damiano ER, Russell SJ, De León DD. The Bihormonal Bionic Pancreas Improves Glycemic Control in Individuals With Hyperinsulinism and Postpancreatectomy Diabetes: A Pilot Study. Diabetes Care 2021; 44:2582-2585. [PMID: 34518377 PMCID: PMC8546273 DOI: 10.2337/dc21-0416] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 08/02/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To determine whether the bihormonal bionic pancreas (BHBP) improves glycemic control and reduces hypoglycemia in individuals with congenital hyperinsulinism (HI) and postpancreatectomy diabetes (PPD) compared with usual care (UC). RESEARCH DESIGN AND METHODS Ten subjects with HI and PPD completed this open-label, crossover pilot study. Coprimary outcomes were mean glucose concentration and time with continuous glucose monitoring (CGM) glucose concentration <3.3 mmol/L. RESULTS Mean (SD) CGM glucose concentration was 8.3 (0.7) mmol/L in the BHBP period versus 9 (1.8) mmol/L in the UC period (P = 0.13). Mean (SD) time with CGM glucose concentration <3.3 mmol/L was 0% (0.002) in the BHBP period vs. 1.3% (0.018) in the UC period (P = 0.11). CONCLUSIONS Relative to UC, the BHBP resulted in comparable glycemic control in our population.
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Affiliation(s)
- Arpana Rayannavar
- Division of Endocrinology and Diabetes, The Children's Hospital of Philadelphia, Philadelphia, PA
| | - Lauren M Mitteer
- Division of Endocrinology and Diabetes, The Children's Hospital of Philadelphia, Philadelphia, PA
| | - Courtney A Balliro
- Diabetes Research Center and Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | | | - Katherine L Lord
- Division of Endocrinology and Diabetes, The Children's Hospital of Philadelphia, Philadelphia, PA.,Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Colin P Hawkes
- Division of Endocrinology and Diabetes, The Children's Hospital of Philadelphia, Philadelphia, PA.,Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Lance S Ballester
- Biostatistics and Data Management Core, The Children's Hospital of Philadelphia, Philadelphia, PA
| | - Edward R Damiano
- Department of Biomedical Engineering, Boston University, Boston, MA
| | - Steven J Russell
- Diabetes Research Center and Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Diva D De León
- Division of Endocrinology and Diabetes, The Children's Hospital of Philadelphia, Philadelphia, PA .,Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
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Moon SJ, Jung I, Park CY. Current Advances of Artificial Pancreas Systems: A Comprehensive Review of the Clinical Evidence. Diabetes Metab J 2021; 45:813-839. [PMID: 34847641 PMCID: PMC8640161 DOI: 10.4093/dmj.2021.0177] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 10/24/2021] [Indexed: 12/19/2022] Open
Abstract
Since Banting and Best isolated insulin in the 1920s, dramatic progress has been made in the treatment of type 1 diabetes mellitus (T1DM). However, dose titration and timely injection to maintain optimal glycemic control are often challenging for T1DM patients and their families because they require frequent blood glucose checks. In recent years, technological advances in insulin pumps and continuous glucose monitoring systems have created paradigm shifts in T1DM care that are being extended to develop artificial pancreas systems (APSs). Numerous studies that demonstrate the superiority of glycemic control offered by APSs over those offered by conventional treatment are still being published, and rapid commercialization and use in actual practice have already begun. Given this rapid development, keeping up with the latest knowledge in an organized way is confusing for both patients and medical staff. Herein, we explore the history, clinical evidence, and current state of APSs, focusing on various development groups and the commercialization status. We also discuss APS development in groups outside the usual T1DM patients and the administration of adjunct agents, such as amylin analogues, in APSs.
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Affiliation(s)
- Sun Joon Moon
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Inha Jung
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Cheol-Young Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
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Daly A, Hartnell S, Boughton CK, Evans M. Hybrid Closed-loop to Manage Gastroparesis in People With Type 1 Diabetes: a Case Series. J Diabetes Sci Technol 2021; 15:1216-1223. [PMID: 34378426 PMCID: PMC8564229 DOI: 10.1177/19322968211035447] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
BACKGROUND Gastroparesis is associated with unpredictable gastric emptying and can lead to erratic glucose profiles and negative impacts on quality-of-life. Many people with gastroparesis are unable to meet glycemic targets and there is a need for new approaches for this population. Hybrid closed-loop systems improve glucose control and quality-of-life but evidence for their use in people with diabetic gastroparesis is limited. METHODS We present a narrative review of the challenges associated with type 1 diabetes management for people with gastroparesis and present a case series of 7 people with type 1 diabetes and gastroparesis. We compare glycemic control before and during the first 12 months of hybrid closed-loop therapy. Data were analyzed using electronic patient records and glucose management platforms. We also discuss future advancements for closed-loop systems that may benefit this population. RESULTS Five of 7 patients had data available for time in range before and during hybrid closed-loop therapy, and all had an improvement in percentage time in target glucose range, with the overall mean time in range increasing from 26.0% ± 15.7% to 58.4% ± 8.6% during HCL use, (P = .004). There were significant reductions in HbA1c (83 ± 9 mmol/mol to 71 ± 14 mmol/mol) and mean glucose from 13.0 ± 1.7 mmol/L (234 ± 31 mg/dL) to 10.0 ± 0.7 mmol/L (180 ± 13 mg/dL) with use of a hybrid closed-loop system. Importantly, this was achieved without an increase in time in hypoglycemia (P = .50). CONCLUSION Hybrid closed-loop systems may represent a valuable approach to improve glycemic control for people with type 1 diabetes and gastroparesis. Prospective studies are required to confirm these findings.
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Affiliation(s)
- Aideen Daly
- Wellcome Trust-MRC Institute of
Metabolic Science, University of Cambridge, Cambridge, UK
- Aideen Daly, MB BCh, Wellcome Trust-MRC
Institute of Metabolic Science, University of Cambridge, Level 4, Addenbrookes
Hospital, Cambridge, CB2 0QQ, UK.
| | - Sara Hartnell
- Wolfson Diabetes and Endocrine Clinic,
Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Charlotte K. Boughton
- Wellcome Trust-MRC Institute of
Metabolic Science, University of Cambridge, Cambridge, UK
- Wolfson Diabetes and Endocrine Clinic,
Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Mark Evans
- Wellcome Trust-MRC Institute of
Metabolic Science, University of Cambridge, Cambridge, UK
- Wolfson Diabetes and Endocrine Clinic,
Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
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Beneyto A, Bequette BW, Vehi J. Fault Tolerant Strategies for Automated Insulin Delivery Considering the Human Component: Current and Future Perspectives. J Diabetes Sci Technol 2021; 15:1224-1231. [PMID: 34286613 PMCID: PMC8655284 DOI: 10.1177/19322968211029297] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Automated Insulin Delivery (AID) are systems developed for daily use by people with type 1 diabetes (T1D). To ensure the safety of users, it is essential to consider how the human factor affects the performance and safety of these devices. While there are numerous publications on hardware-related failures of AID systems, there are few studies on the human component of the system. From a control point of view, people with T1D using AID systems are at the same time the plant to be controlled and the plant operator. Therefore, users may induce faults in the controller, sensors, actuators, and the plant itself. Strategies to cope with the human interaction in AID systems are needed for further development of the technology. In this paper, we present an analysis of potential faults introduced by AID users when the system is under normal operation. This is followed by a review of current fault tolerant control (FTC) approaches to identify missing areas of research. The paper concludes with a discussion on future directions for the new generation of FTC AID systems.
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Affiliation(s)
| | | | - Josep Vehi
- Universitat de Girona, Girona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, Madrid, Spain
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Fanaropoulou NM. Hope Injections: The Promises of Regenerative Medicine in Curing Type 1 Diabetes Mellitus. EJIFCC 2021; 32:392-397. [PMID: 34819828 PMCID: PMC8592635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Abstract
In this review, we bring our personal experiences to showcase insulin from its breakthrough discovery as a life-saving drug 100 years ago to its uncovering as the autoantigen and potential cause of type 1 diabetes and eventually as an opportunity to prevent autoimmune diabetes. The work covers the birth of insulin to treat patients, which is now 100 years ago, the development of human insulin, insulin analogues, devices, and the way into automated insulin delivery, the realization that insulin is the primary autoimmune target of type 1 diabetes in children, novel approaches of immunotherapy using insulin for immune tolerance induction, the possible limitations of insulin immunotherapy, and an outlook how modern vaccines could remove the need for another 100 years of insulin therapy.
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