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Anandhakrishnan A, Hussain S. Automating insulin delivery through pump and continuous glucose monitoring connectivity: Maximizing opportunities to improve outcomes. Diabetes Obes Metab 2024. [PMID: 39291355 DOI: 10.1111/dom.15920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2024] [Revised: 08/08/2024] [Accepted: 08/12/2024] [Indexed: 09/19/2024]
Abstract
The development of automated insulin delivery (AID) systems, which connect continuous glucose monitoring (CGM) systems with algorithmic insulin delivery from an insulin pump (continuous subcutaneous insulin infusion, [CSII]), has led to improved glycaemia and quality of life benefits in those with insulin-treated diabetes. This review summarizes the benefits gained by the connectivity between insulin pumps and CGM devices. It details the technical requirements and advances that have enabled this, and highlights the clinical and user benefits of such systems. Clinical trials and real-world outcomes from the use of AID systems in people with type 1 diabetes (T1D) will be the focus of this article; outcomes in people with type 2 diabetes (T2D) and other diabetes subtypes will also be discussed. We also detail the limitations of current technological approaches for connectivity between insulin pumps and CGM devices. While recognizing the barriers, we discuss opportunities for the future.
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Affiliation(s)
- Ananthi Anandhakrishnan
- Department of Diabetes, School of Cardiovascular, Metabolic Medicine and Sciences, King's College London, London, UK
- Department of Diabetes and Endocrinology, Guy's & St Thomas' NHS Foundation Trust, London, UK
| | - Sufyan Hussain
- Department of Diabetes, School of Cardiovascular, Metabolic Medicine and Sciences, King's College London, London, UK
- Department of Diabetes and Endocrinology, Guy's & St Thomas' NHS Foundation Trust, London, UK
- Institute of Diabetes, Endocrinology and Obesity, King's Health Partners, London, UK
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Agarwal S, Galindo RJ, Shah AV, Abreu M. Diabetes Technology in People with Type 2 Diabetes: Novel Indications. Curr Diab Rep 2024; 24:85-95. [PMID: 38421505 DOI: 10.1007/s11892-024-01536-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/18/2024] [Indexed: 03/02/2024]
Abstract
PURPOSE OF REVIEW Diabetes technology has been continuously evolving. Current versions of continuous glucose monitors (CGM) use minimally invasive designs, monitor glucose values with high accuracy, and can be used to guide insulin dosing. Extensive evidence supports the use of diabetes technology for monitoring and insulin administration in people with type 1 diabetes. However, there is emerging evidence for people with type 2 diabetes. In this review, we present the different technological devices used to monitor glucose and deliver insulin and the evidence supporting their use in people with type 2 diabetes. RECENT FINDINGS The use of CGMs in people with type 2 diabetes treated with insulin or non-insulin therapies has been associated with improvements in glycemic control and time spent in hypoglycemia. Smart insulin pens and smart connected devices are options to track compliance and guide insulin delivery in people who do not require insulin pump therapy. Mechanical patch pumps can be used to reduce the burden of multiple daily insulin injections. Automated insulin delivery algorithms improve glycemic control without an increase in hypoglycemia. The use of technology in the management of type 2 diabetes generates glycemic data previously inaccessible, reduces barriers for insulin initiation, improves glycemic control, tracks adherence to therapy, and improves user satisfaction.
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Affiliation(s)
- Shubham Agarwal
- The University of Texas Southwestern, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA.
| | - Rodolfo J Galindo
- University of Miami Miller School of Medicine, 1450 NW 10th Ave, Miami, FL, 33136, USA
| | - Amy V Shah
- The University of Texas Southwestern, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA
| | - Marconi Abreu
- The University of Texas Southwestern, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA
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Gómez Medina AM, Parra Prieto DA, Henao Carrillo DC, Gómez CM, Muñoz Velandia OM, Caicedo S, Kerguelen Villadiego AL, Rodríguez Hortúa LM, Lucero Pantoja OD, Uribe Valencia M, García Guete MM, Robledo Gómez S, Rondón Sepúlveda M. Characteristics Associated With Elevated Time Below Range in Elderly Patients With Type 1 Diabetes Using an Automated Insulin Delivery System. J Diabetes Sci Technol 2024:19322968241232659. [PMID: 38506435 DOI: 10.1177/19322968241232659] [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: 03/21/2024]
Abstract
BACKGROUND This study investigated the characteristics associated with an increased risk of hypoglycemia, in elderly patients with type 1 diabetes mellitus (T1D) using automated insulin delivery (AID) systems. METHODS Cross-sectional observational study including patients >60 years, using sensor-augmented insulin pump therapy with predictive low-glucose management (SAPT-PLGM), hybrid closed-loop (HCL), and advanced hybrid closed-loop (AHCL), for more than three months. A geriatric assessment was performed, and body composition was determined to investigate its association with achieving time below range (TBR) <70 mg/dL goals. RESULTS The study included 59 patients (47.5% of men, mean age of 67.6 years, glycated hemoglobin [HbA1c] of 7.5 ± 0.6%, time in range (TIR) 77.8 ± 9.9%). Time below range <70 and <54 mg/dL were 2.2 ± 2.3% and 0.4 ± 0.81%, respectively. Patients with elevated TBR <70 mg/dL (>1%) had higher HbA1c levels, lower TIR, elevated time above range (TAR), and high glycemic variability. Regarding body composition, greater muscle mass, grip strength, and visceral fat were associated with a lower TBR <70 mg/dL. These factors were independent of the type of technology used, but TIR was higher when using AHCL systems compared with SAPT-PLGM and HCL systems. CONCLUSIONS In elderly patients treated with AID systems with good functional status, lower lean mass, lower grip strength, and lower visceral fat percentage were associated with TBR greater than 1%, regardless of the device used. A similar finding along was found with CGM indicators such as higher HbA1c levels, lower TIR, higher TAR, and higher CV. Geriatric assessment is crucial for personalizing patient management.
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Affiliation(s)
- Ana María Gómez Medina
- Hospital Universitario San Ignacio and Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Darío A Parra Prieto
- Hospital Universitario San Ignacio and Pontificia Universidad Javeriana, Bogotá, Colombia
| | | | | | | | - Sandra Caicedo
- Hospital Universitario San Ignacio and Pontificia Universidad Javeriana, Bogotá, Colombia
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Yuan CY, Halim B, Kong YW, Lu J, Dutt-Ballerstadt R, Eckenberg P, Hillen K, Koski A, Milenkowic V, Netzer E, Obeyesekere V, Reid S, Sims C, Vogrin S, Wu HP, Seidl T, O'Neal DN. Combining an Electrochemical Continuous Glucose Sensor With an Insulin Delivery Cannula: A Feasibility Study. J Diabetes Sci Technol 2024:19322968241236771. [PMID: 38491800 DOI: 10.1177/19322968241236771] [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: 03/18/2024]
Abstract
BACKGROUND Combining a continuous glucose monitor with an insulin delivery cannula (CGM-IS) could benefit clinical outcomes. We evaluated the feasibility of a single-needle insertion electrochemical investigational CGM-IS (Pacific Diabetes Technologies, Portland, Oregon) in type 1 diabetes adults. METHODS Following 48 hours run-in using a Medtronic 780G in manual mode with a commercial insulin set, 12 participants commenced insulin delivery using the CGM-IS. A standardized test meal was eaten on the mornings of days 1 and 4. Venous samples were collected every 10 minutes one hour prior to and 15 minutes post-meal for four hours. CGM-IS glucose measurements were post-processed with a single capillary blood calibration during warm-up and benchmarked against YSI. A Dexcom G6 sensor was worn post-consent to study end. RESULTS Mean absolute relative difference (MARD) for the CGM-IS glucose measurements was 9.2% (484 paired data points). Consensus error grid revealed 88.6% within zone A and 100% in A + B. Mean (SD) % bias was -3.5 (11.7) %. There were 35 paired YSI readings <100 mg/dL cutoff and 449 ≥100 mg/dL with 81.4% within ±15 mg/dL or ±15%, and 89.9% within ±20 mg/dL or ±20%. Two cannula occlusions required discontinuation of insulin delivery: one at 70 hours post insertion and another during the day 4 meal test. Mean (SD) Dexcom glucose measurements during run-in and between meal tests was respectively 161.3 ± 27.3 mg/dL versus 158.0 ± 25.6 mg/dL; P = .39 and corresponding mean total daily insulin delivered by the pump was 58.0 ± 25.4 Units versus 57.1 ± 28.8 Units; P = .47. CONCLUSIONS Insulin delivery and glucose sensing with the investigational CGM-IS was feasible. Longer duration studies are needed.
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Affiliation(s)
- Cheng Yi Yuan
- Department of Medicine, St Vincent's Hospital Melbourne, The University of Melbourne, Fitzroy, VIC, Australia
| | - Bella Halim
- Department of Medicine, St Vincent's Hospital Melbourne, The University of Melbourne, Fitzroy, VIC, Australia
| | - Yee W Kong
- Department of Medicine, St Vincent's Hospital Melbourne, The University of Melbourne, Fitzroy, VIC, Australia
| | - Jean Lu
- Department of Medicine, St Vincent's Hospital Melbourne, The University of Melbourne, Fitzroy, VIC, Australia
| | | | | | - Ken Hillen
- Pacific Diabetes Technologies, Portland, OR, USA
| | - Anh Koski
- Pacific Diabetes Technologies, Portland, OR, USA
| | | | - Emma Netzer
- Department of Medicine, St Vincent's Hospital Melbourne, The University of Melbourne, Fitzroy, VIC, Australia
| | - Varuni Obeyesekere
- Department of Medicine, St Vincent's Hospital Melbourne, The University of Melbourne, Fitzroy, VIC, Australia
| | - Solomon Reid
- Pacific Diabetes Technologies, Portland, OR, USA
| | - Catriona Sims
- Department of Medicine, St Vincent's Hospital Melbourne, The University of Melbourne, Fitzroy, VIC, Australia
| | - Sara Vogrin
- Department of Medicine, St Vincent's Hospital Melbourne, The University of Melbourne, Fitzroy, VIC, Australia
| | - Huan-Ping Wu
- Pacific Diabetes Technologies, Portland, OR, USA
| | - Thomas Seidl
- Pacific Diabetes Technologies, Portland, OR, USA
| | - David N O'Neal
- Department of Medicine, St Vincent's Hospital Melbourne, The University of Melbourne, Fitzroy, VIC, Australia
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Wu Z, Talbo M, Lebbar M, Messier V, Courchesne A, Brazeau AS, Rabasa-Lhoret R. Characteristics associated with having a hemoglobin A1c ≤ 7 % (≤53 mmol/mol) among adults with type 1 diabetes using an automated insulin delivery system. Diabetes Res Clin Pract 2023; 206:111006. [PMID: 37952601 DOI: 10.1016/j.diabres.2023.111006] [Citation(s) in RCA: 1] [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: 02/08/2023] [Revised: 06/16/2023] [Accepted: 11/09/2023] [Indexed: 11/14/2023]
Abstract
BACKGROUND We aim to investigate which characteristics are associated with having an HbA1c ≤ 7 % (≤53 mmol/mol) among adult automated insulin delivery (AID) users living with type 1 diabetes (T1D). METHODS Cross-sectional study using data from the T1D BETTER registry. INCLUSION CRITERIA aged ≥ 18 years old, using a commercial AID system, and with a reported HbA1c range value. Participants were divided into two groups (HbA1c ≤ 7 % group, N = 57; and HbA1c > 7 % group, N = 74). RESULTS A total of 131 participants were included: 61.8 % females, median age (Q1-Q3) was 43.0 (30.0, 55.0) years, and median duration of T1D was 24.0 (16.0, 36.0) years. Logistic regression analysis suggested that participants with a bachelor's degree or above were more likely (OR 3.04, 95 %CI 1.22, 7.58; P = 0.017) and with a longer duration of pump use were less likely (OR 0.90, 95 %CI 0.84, 0.98; P = 0.009) to report an HbA1c ≤ 7 % when using an AID, after adjusting for age, sex, body mass index, and annual household income. CONCLUSIONS Our study indicates that among AID users, in order to maximize benefits, additional support is needed for those who do not have a bachelor's degree and/or who have been using an insulin pump for a long time.
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Affiliation(s)
- Zekai Wu
- Department of Medicine, Division of Experimental Medicine, McGill University, Montreal, Quebec, H3A 0G4, Canada; Montreal Clinical Research Institute, 110 Pine Ave W, Montréal, Québec, H2W 1R7, Canada.
| | - Meryem Talbo
- School of Human Nutrition, McGill University, 21111 Lakeshore Dr, Sainte-Anne-de-Bellevue, Quebec, H9X 3V9, Canada
| | - Maha Lebbar
- Montreal Clinical Research Institute, 110 Pine Ave W, Montréal, Québec, H2W 1R7, Canada; Department of Nutrition, Faculty of Medicine, Universite de Montréal, 2900 Edouard Montpetit Blvd, Montreal, Quebec H3T 1J4, Canada
| | - Virginie Messier
- Montreal Clinical Research Institute, 110 Pine Ave W, Montréal, Québec, H2W 1R7, Canada
| | - Alec Courchesne
- Montreal Clinical Research Institute, 110 Pine Ave W, Montréal, Québec, H2W 1R7, Canada
| | - Anne-Sophie Brazeau
- School of Human Nutrition, McGill University, 21111 Lakeshore Dr, Sainte-Anne-de-Bellevue, Quebec, H9X 3V9, Canada; Montreal Diabetes Research Center, 900 Saint-Denis, Montreal, Quebec, H2X 0A9, Canada
| | - Remi Rabasa-Lhoret
- Department of Medicine, Division of Experimental Medicine, McGill University, Montreal, Quebec, H3A 0G4, Canada; Montreal Clinical Research Institute, 110 Pine Ave W, Montréal, Québec, H2W 1R7, Canada; Department of Nutrition, Faculty of Medicine, Universite de Montréal, 2900 Edouard Montpetit Blvd, Montreal, Quebec H3T 1J4, Canada; Montreal Diabetes Research Center, 900 Saint-Denis, Montreal, Quebec, H2X 0A9, Canada; Division of Endocrinology and Metabolism, Centre hospitalier de l'Université de montréal, 1051 Rue Sanguinet, Montréal, Quebec, H2X 3E4, Canada
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Gómez Medina AM, Henao-Carrillo DC, Yepes C, Silva J, Gómez González JA, Cortes D, Robledo S, Mejía G, Rondon M. Glycemic control metrics in a cohort of hospitalized patients with type 1 diabetes using hybrid closed-loop and advanced hybrid closed-loop systems. Diabetes Res Clin Pract 2023; 204:110897. [PMID: 37678728 DOI: 10.1016/j.diabres.2023.110897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 08/25/2023] [Accepted: 09/04/2023] [Indexed: 09/09/2023]
Abstract
AIMS To describe Hybrid closed-loop (HCL) and advanced hybrid closed-loop (AHCL) performance in the hospital setting based on the continuous glucose monitoring (CGM) metrics description. METHODS This was an observational study from a cohort of patients with T1D using HCL/AHCL with history of hospitalization. CGM metrics were analyzed during the hospital stay. CGM metrics sub-analysis of the population with active Automated Mode (AM) and SmartGuard (SG) during hospitalization and/or surgical procedure was performed. RESULTS Twenty-four patients were included (50 % women; mean age, 49 years [inter-quartile range (IQR), 39-62 years]). During hospitalization 70.8 % patients achieved %Time in Range (TIR) between 70 and 180 mg/dL ≥ 70 %. The overall %TIR was 75.5 % (IQR, 67.3-81.5 %), % time below range (TBR) < 70 mg/dL was 2.1 % (IQR, 0.7-5.4 %) and %TBR < 54 mg/dL was 0 % (IQR, 0-5.4 %). Users of the AHCL with active SG achieved a non-significant higher %TIR during hospitalization (79 % [73.8.88 %] vs. 76 % [72.81 %], p = 0.312) and had a shorter stay (3[IQR, 2.4] vs. 6 days[IQR, 5.7], p = 0.045) compared to the users of the HCL with AM active. No device-related serious adverse events occurred for users of either system. CONCLUSIONS HCL/AHCL systems with active AM/SG in patients with T1D in the hospital environment leads to %TIR > 70 % in ranges of 70-180 mg/dL in patients without increasing hypoglycemia.
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Affiliation(s)
- Ana María Gómez Medina
- Endocrinology Unit, Hospital Universitario San Ignacio, Carrera 7 # 45-62, Colombia; Faculty of Medicine, Pontificia Universidad Javeriana, Carrera 7 # 40-62, Colombia.
| | - Diana Cristina Henao-Carrillo
- Endocrinology Unit, Hospital Universitario San Ignacio, Carrera 7 # 45-62, Colombia; Faculty of Medicine, Pontificia Universidad Javeriana, Carrera 7 # 40-62, Colombia.
| | - Carlos Yepes
- Endocrinology Unit, Hospital Universitario San Ignacio, Carrera 7 # 45-62, Colombia; Faculty of Medicine, Pontificia Universidad Javeriana, Carrera 7 # 40-62, Colombia.
| | - Julio Silva
- Endocrinology Unit, Hospital Universitario San Ignacio, Carrera 7 # 45-62, Colombia; Faculty of Medicine, Pontificia Universidad Javeriana, Carrera 7 # 40-62, Colombia.
| | - Javier Alberto Gómez González
- Endocrinology Unit, Hospital Universitario San Ignacio, Carrera 7 # 45-62, Colombia; Faculty of Medicine, Pontificia Universidad Javeriana, Carrera 7 # 40-62, Colombia.
| | - David Cortes
- Endocrinology Unit, Hospital Universitario San Ignacio, Carrera 7 # 45-62, Colombia; Faculty of Medicine, Pontificia Universidad Javeriana, Carrera 7 # 40-62, Colombia.
| | - Sofia Robledo
- Faculty of Medicine, Pontificia Universidad Javeriana, Carrera 7 # 40-62, Colombia.
| | - Gabriela Mejía
- Faculty of Medicine, Pontificia Universidad Javeriana, Carrera 7 # 40-62, Colombia.
| | - Martin Rondon
- Department of Epidemiology, Pontificia Universidad Javeriana, Carrera 7 # 40-62, Colombia.
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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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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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Nallicheri A, Mahoney KM, Gutow HA, Bellini N, Isaacs D. Review of Automated Insulin Delivery Systems for Type 1 Diabetes and Associated Time in Range Outcomes. TOUCHREVIEWS IN ENDOCRINOLOGY 2022; 18:27-34. [PMID: 35949359 PMCID: PMC9354504 DOI: 10.17925/ee.2022.18.1.27] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 05/07/2022] [Indexed: 11/24/2022]
Abstract
Automated insulin delivery (AID) systems play an important role in the management of type 1 diabetes mellitus (T1DM). These systems include three components: a continuous glucose monitor (CGM), an insulin pump and an algorithm that adjusts the pump based on the CGM sensor glucose readings. They are not fully automated and still require the user to administer bolus insulin doses for food. Some AID systems have automatic correction boluses, while others only have automatic basal or background insulin adjustments. As CGM has become more accurate and the technology has evolved, AID systems have demonstrated improved glycaemic outcomes. The clinical evaluation of AID systems in randomized controlled trials and real-world studies have shown their utility in helping glycaemic management. In this review, we compare AID systems that are commercially available in the US and summarize the literature, with a special focus on time in range in T1DM. The review also discusses new AID systems on the horizon and explores considerations for personalized care.
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Bashir B, Elisaus P, Grigoriadou VC, Urwin A, Chapman A, Ohol S, Findlow LA, Foster J, Harwood R, Fullwood C, Schofield J, Rutter MK, Leelarathna L, Thabit H. Real world effectiveness of clinically approved hybrid closed loop systems in a UK Secondary Care Diabetes Service. Diabet Med 2022; 39:e14816. [PMID: 35181937 DOI: 10.1111/dme.14816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Revised: 01/12/2022] [Accepted: 02/16/2022] [Indexed: 11/29/2022]
Affiliation(s)
- Bilal Bashir
- Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Panchami Elisaus
- Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | | | - Andrea Urwin
- Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Alyson Chapman
- Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Sheetal Ohol
- Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Lynne Ann Findlow
- Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Jody Foster
- Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Rachel Harwood
- Research & Innovation, Manchester University NHS Foundation Trust, Manchester, UK
| | - Catherine Fullwood
- Research & Innovation, Manchester University NHS Foundation Trust, Manchester, UK
- Centre for Biostatistics, Division of Population Health, Health Services Research and Primary Care, Faculty of Biology, Medicine and Health, University of Manchester, The Manchester Academic Health Sciences Centre, Manchester, UK
| | - Jonathan Schofield
- Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester, UK
- Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Martin K Rutter
- Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester, UK
- Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Lalantha Leelarathna
- Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester, UK
- Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Hood Thabit
- Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester, UK
- Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
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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: 27] [Impact Index Per Article: 13.5] [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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12
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Thabit H, Lal R, Leelarathna L. Automated insulin dosing systems: Advances after a century of insulin. Diabet Med 2021; 38:e14695. [PMID: 34547133 PMCID: PMC8763058 DOI: 10.1111/dme.14695] [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: 07/11/2021] [Revised: 09/05/2021] [Accepted: 09/16/2021] [Indexed: 11/29/2022]
Abstract
The daily complexities of insulin therapy and glucose variability in type 1 diabetes still pose significant challenges, despite advancements in modern insulin analogues. Minimising hypoglycaemia and optimising time spent within target glucose range are recommended to reduce the risk of diabetes-related complications and distress. Access to structured education and adjuvant diabetes technologies, such as insulin pumps and glucose sensors, are recommended by National Institute for Health and Care Excellence (NICE) to enable people with type 1 diabetes achieve their glycaemic goals. One hundred years after the discovery of insulin, automated insulin dosing (AID, a.k.a. closed loop or artificial pancreas) systems are a reality with a number of systems available and being used in usual clinical practice. Evidence from randomised clinical trials and real-world prospective studies support efficacy, effectiveness and safety of AID systems. Qualitative evaluations reveal treatment satisfaction and positive effects on quality of life. Current insulin-only AID systems still require carbohydrate and activity announcement (hybrid closed loop) due to the inherent pharmacokinetic limitations of rapid-acting insulin analogies. Ultra-rapid acting insulin and adjunctive use of other therapies (e.g. glucagon, pramlitide) are being evaluated to achieve full closed loop. Open-source AID (OS-AID) systems have been developed by the diabetes community, driven by a desire for safety and to accelerate technological advancement. In addition to effectiveness and safety, real-world prospective studies suggest that OS-AID systems fulfil unmet needs of commercially approved systems. The development, ongoing challenges and expectations of AID are outlined in this review.
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Affiliation(s)
- Hood Thabit
- Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Division of Diabetes, Endocrinology and Gastroenterology, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Rayhan Lal
- Division of Endocrinology, Department of Medicine & Paediatrics, Stanford University, Stanford, California, USA
- Stanford Diabetes Research Center, Stanford University, Stanford, California, USA
| | - Lalantha Leelarathna
- Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Division of Diabetes, Endocrinology and Gastroenterology, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
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13
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Aldibbiat A, Alqashami A, Hussain S. Use of automated insulin delivery systems in people with type 1 diabetes fasting during Ramadan: An observational study. J Diabetes Investig 2021; 13:647-651. [PMID: 34826214 PMCID: PMC9017633 DOI: 10.1111/jdi.13720] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Revised: 10/18/2021] [Accepted: 11/07/2021] [Indexed: 12/11/2022] Open
Abstract
Fasting among people with type 1 diabetes imposes the risk of metabolic decompensation. Automated insulin dosing systems can allow better glycemic control without safety concerns. The utility in prolonged and repetitive fasting has not been studied. In this observational study, validated glycemic data were reviewed and analyzed from people with type 1 diabetes who observed fasting during Ramadan in 2019 and 2020 using automated insulin dosing systems. Six profiles met the inclusion criteria. The average age was 33.7 ± 4.8 years, diabetes duration was 23.5 ± 7.9 years, body mass index 23.6 ± 1.9 kg/m2 and glycated hemoglobin was 6.3 ± 0.2% (45 ± 5 mmol/mol). The average glucose during Ramadan was 7.0 ± 0.5 mmol/L (126 ± 9 mg/dL), coefficient of variation 28.5%, percentage of time in range 3.9–10 mmol/L (70–180 mg/dL) 88.8 ± 7.3% and percentage time <3.9 mmol/L (<70.0 mg/dL) 2.5 ± 1.3%. The number of fasting days was 27.3 ± 3.3, and the number of days where fasting was broken due diabetes was 1 ± 1.5/participant. No significant differences in glycemic outcomes were noted between Ramadan and non‐Ramadan periods. In this first clinically validated study, automated insulin dosing systems showed a safe and effective management strategy to support prolonged and consecutive fasting in people with type 1 diabetes.
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Affiliation(s)
- Ali Aldibbiat
- Dasman Diabetes Institute, Kuwait City, Kuwait.,Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, UK.,Department of Endocrinology, Prime Hospital, Dubai, United Arab Emirates
| | | | - Sufyan Hussain
- Department of Diabetes & Endocrinology, Guy's and St Thomas' Hospital NHS Trust, London, UK.,Department of Diabetes, School of Life Course Sciences, King's College London, London, UK.,Institute of Diabetes, Endocrinology and Obesity, King's Health Partners, London, UK
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14
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Lee MH, Paldus B, Vogrin S, Morrison D, Zaharieva DP, Lu J, Jones HM, Netzer E, Robinson L, Grosman B, Roy A, Kurtz N, Ward GM, MacIsaac RJ, Jenkins AJ, O'Neal DN. Fast-Acting Insulin Aspart Versus Insulin Aspart Using a Second-Generation Hybrid Closed-Loop System in Adults With Type 1 Diabetes: A Randomized, Open-Label, Crossover Trial. Diabetes Care 2021; 44:dc210814. [PMID: 34362816 DOI: 10.2337/dc21-0814] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 06/30/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To evaluate glucose control using fast-acting insulin aspart (faster aspart) compared with insulin aspart (IAsp) delivered by the MiniMed Advanced Hybrid Closed-Loop (AHCL) system in adults with type 1 diabetes. RESEARCH DESIGN AND METHODS In this randomized, open-label, crossover study, participants were assigned to receive faster aspart or IAsp in random order. Stages 1 and 2 comprised of 6 weeks in closed loop, preceded by 2 weeks in open loop. This was followed by stage 3, whereby participants changed directly back to the insulin formulation used in stage 1 for 1 week in closed loop. Participants chose their own meals except for two standardized meal tests, a missed meal bolus and late meal bolus. The primary outcome was the percentage of time sensor glucose values were from 70 to 180 mg/dL (time in range; [TIR]). RESULTS Twenty-five adults (52% male) were recruited; the median (interquartile range) age was 48 (37, 57) years, and the median HbA1c was 7.0% (6.6, 7.2) (53 [49, 55] mmol/mol). Faster aspart demonstrated greater overall TIR compared with IAsp (82.3% [78.5, 83.7] vs. 79.6% [77.0, 83.4], respectively; mean difference 1.9% [0.5, 3.3]; P = 0.007). Four-hour postprandial glucose TIR was higher using faster aspart compared with IAsp for all meals combined (73.6% [69.4, 80.2] vs. 72.1% [64.5, 78.5], respectively; median difference 3.5% [1.0, 7.3]; P = 0.003). There was no ketoacidosis or severe hypoglycemia. CONCLUSIONS Faster aspart safely improved glucose control compared with IAsp in a group of adults with well-controlled type 1 diabetes using AHCL. The modest improvement was mainly related to mealtime glycemia. While the primary outcome demonstrated statistical significance, the clinical impact may be small, given an overall difference in TIR of 1.9%.
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Affiliation(s)
- Melissa H Lee
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Endocrinology & Diabetes, St Vincent's Hospital Melbourne, Melbourne, Australia
| | - Barbora Paldus
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Endocrinology & Diabetes, St Vincent's Hospital Melbourne, Melbourne, Australia
| | - Sara Vogrin
- Department of Medicine, University of Melbourne, Melbourne, Australia
| | - Dale Morrison
- Department of Medicine, University of Melbourne, Melbourne, Australia
| | - Dessi P Zaharieva
- Division of Endocrinology, Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA
| | - Jean Lu
- Department of Medicine, University of Melbourne, Melbourne, Australia
| | - Hannah M Jones
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Endocrinology & Diabetes, St Vincent's Hospital Melbourne, Melbourne, Australia
| | - Emma Netzer
- Department of Medicine, University of Melbourne, Melbourne, Australia
| | - Lesley Robinson
- Department of Medicine, University of Melbourne, Melbourne, Australia
| | | | | | | | - Glenn M Ward
- Department of Endocrinology & Diabetes, St Vincent's Hospital Melbourne, Melbourne, Australia
- Department of Pathology, University of Melbourne, Melbourne, Australia
| | - Richard J MacIsaac
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Endocrinology & Diabetes, St Vincent's Hospital Melbourne, Melbourne, Australia
| | - Alicia J Jenkins
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Endocrinology & Diabetes, St Vincent's Hospital Melbourne, Melbourne, Australia
- National Health and Medical Research Council Clinical Trials Centre, University of Sydney, Sydney, Australia
| | - David N O'Neal
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Endocrinology & Diabetes, St Vincent's Hospital Melbourne, Melbourne, Australia
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15
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Mathieu C. Minimising hypoglycaemia in the real world: the challenge of insulin. Diabetologia 2021; 64:978-984. [PMID: 33452892 DOI: 10.1007/s00125-020-05354-7] [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] [Received: 10/05/2020] [Accepted: 11/04/2020] [Indexed: 02/07/2023]
Abstract
Insulin therapy has been a life saver for people with type 1 diabetes and has been an essential tool in the therapy of people with type 2 diabetes, but the risk for hypoglycaemia has been a major hurdle to achieving good glycaemic control for most. Insulin analogues, the availability of novel technologies for the administration of insulin, like insulin pumps, and, in particular, tools to measure glucose levels, evolving from capillary measurements to continuous glucose monitoring, have revolutionised the way in which people living with diabetes use insulin. Novel insulin concepts, like once-weekly or oral insulin administration, will have to demonstrate safety on the side of hypoglycaemia before they will be able to move into the clinic.
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Affiliation(s)
- Chantal Mathieu
- Department of Endocrinology, UZ Gasthuisberg, KU Leuven, Leuven, Belgium.
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16
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McAuley SA, Lee MH, Paldus B, Vogrin S, de Bock MI, Abraham MB, Bach LA, Burt MG, Cohen ND, Colman PG, Davis EA, Hendrieckx C, Holmes-Walker DJ, Kaye J, Keech AC, Kumareswaran K, MacIsaac RJ, McCallum RW, Sims CM, Speight J, Stranks SN, Sundararajan V, Trawley S, Ward GM, Jenkins AJ, Jones TW, O'Neal DN. Six Months of Hybrid Closed-Loop Versus Manual Insulin Delivery With Fingerprick Blood Glucose Monitoring in Adults With Type 1 Diabetes: A Randomized, Controlled Trial. Diabetes Care 2020; 43:3024-3033. [PMID: 33055139 DOI: 10.2337/dc20-1447] [Citation(s) in RCA: 77] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 09/16/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To investigate glycemic and psychosocial outcomes with hybrid closed-loop (HCL) versus user-determined insulin dosing with multiple daily injections (MDI) or insulin pump (i.e., standard therapy for most adults with type 1 diabetes). RESEARCH DESIGN AND METHODS Adults with type 1 diabetes using MDI or insulin pump without continuous glucose monitoring (CGM) were randomized to 26 weeks of HCL (Medtronic 670G) or continuation of current therapy. The primary outcome was masked CGM time in range (TIR; 70-180 mg/dL) during the final 3 weeks. RESULTS Participants were randomized to HCL (n = 61) or control (n = 59). Baseline mean (SD) age was 44.2 (11.7) years, HbA1c was 7.4% (0.9%) (57 [10] mmol/mol), 53% were women, and 51% used MDI. HCL TIR increased from (baseline) 55% (13%) to (26 weeks) 70% (10%) with the control group unchanged: (baseline) 55% (12%) and (26 weeks) 55% (13%) (difference 15% [95% CI 11, 19]; P < 0.0001). For HCL, HbA1c was lower (median [95% CI] difference -0.4% [-0.6, -0.2]; -4 mmol/mol [-7, -2]; P < 0.0001) and diabetes-specific positive well-being was higher (difference 1.2 [95% CI 0.4, 1.9]; P < 0.0048) without a deterioration in diabetes distress, perceived sleep quality, or cognition. Seventeen (9 device-related) versus 13 serious adverse events occurred in the HCL and control groups, respectively. CONCLUSIONS In adults with type 1 diabetes, 26 weeks of HCL improved TIR, HbA1c, and their sense of satisfaction from managing their diabetes compared with those continuing with user-determined insulin dosing and self-monitoring of blood glucose. For most people living with type 1 diabetes globally, this trial demonstrates that HCL is feasible, acceptable, and advantageous.
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Affiliation(s)
- Sybil A McAuley
- Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia.,Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
| | - Melissa H Lee
- Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia.,Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
| | - Barbora Paldus
- Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia.,Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
| | - Sara Vogrin
- Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia
| | - Martin I de Bock
- Department of Endocrinology and Diabetes, Perth Children's Hospital, Nedlands, Western Australia, Australia.,Telethon Kids Institute, University of Western Australia, Nedlands, Western Australia, Australia.,School of Paediatrics and Child Health, University of Western Australia, Nedlands, Western Australia, Australia.,Department of Paediatrics and Child Health, University of Otago, Wellington, New Zealand
| | - Mary B Abraham
- Department of Endocrinology and Diabetes, Perth Children's Hospital, Nedlands, Western Australia, Australia.,Telethon Kids Institute, University of Western Australia, Nedlands, Western Australia, Australia.,School of Paediatrics and Child Health, University of Western Australia, Nedlands, Western Australia, Australia
| | - Leon A Bach
- Department of Endocrinology and Diabetes, The Alfred, Melbourne, Victoria, Australia.,Department of Medicine (Alfred Medical Research and Education Precinct), Monash University, Melbourne, Victoria, Australia
| | - Morton G Burt
- Southern Adelaide Diabetes and Endocrine Services, Flinders Medical Centre, Bedford Park, South Australia, Australia.,College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia
| | - Neale D Cohen
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Peter G Colman
- Department of Diabetes and Endocrinology, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Elizabeth A Davis
- Department of Endocrinology and Diabetes, Perth Children's Hospital, Nedlands, Western Australia, Australia.,Telethon Kids Institute, University of Western Australia, Nedlands, Western Australia, Australia.,School of Paediatrics and Child Health, University of Western Australia, Nedlands, Western Australia, Australia
| | - Christel Hendrieckx
- School of Psychology, Deakin University, Geelong, Victoria, Australia.,Australian Centre for Behavioural Research in Diabetes, North Melbourne, Victoria, Australia
| | - D Jane Holmes-Walker
- Department of Diabetes and Endocrinology, Westmead Hospital, Westmead, New South Wales, Australia.,Sydney Medical School, University of Sydney, Camperdown, New South Wales, Australia
| | - Joey Kaye
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
| | - Anthony C Keech
- NHMRC Clinical Trials Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - Kavita Kumareswaran
- Department of Endocrinology and Diabetes, The Alfred, Melbourne, Victoria, Australia.,Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Richard J MacIsaac
- Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia.,Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
| | - Roland W McCallum
- Department of Diabetes and Endocrinology, Royal Hobart Hospital, Hobart, Tasmania, Australia
| | - Catriona M Sims
- Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia
| | - Jane Speight
- School of Psychology, Deakin University, Geelong, Victoria, Australia.,Australian Centre for Behavioural Research in Diabetes, North Melbourne, Victoria, Australia
| | - Stephen N Stranks
- Southern Adelaide Diabetes and Endocrine Services, Flinders Medical Centre, Bedford Park, South Australia, Australia.,College of Medicine and Public Health, Flinders University, Bedford Park, South Australia, Australia
| | - Vijaya Sundararajan
- Department of Public Health, La Trobe University, Melbourne, Victoria, Australia
| | - Steven Trawley
- Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia.,Australian Centre for Behavioural Research in Diabetes, North Melbourne, Victoria, Australia.,The Cairnmillar Institute, Hawthorn East, Victoria, Australia
| | - Glenn M Ward
- Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia.,Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
| | - Alicia J Jenkins
- Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia.,Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia.,Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
| | - Timothy W Jones
- Department of Endocrinology and Diabetes, Perth Children's Hospital, Nedlands, Western Australia, Australia.,Telethon Kids Institute, University of Western Australia, Nedlands, Western Australia, Australia.,School of Paediatrics and Child Health, University of Western Australia, Nedlands, Western Australia, Australia
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17
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Berget C, Lange S, Messer L, Forlenza GP. A clinical review of the t:slim X2 insulin pump. Expert Opin Drug Deliv 2020; 17:1675-1687. [PMID: 32842794 DOI: 10.1080/17425247.2020.1814734] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Insulin pumps are commonly used for intensive insulin therapy to treat type 1 diabetes in adults and youth. Insulin pump technologies have advanced dramatically in the last several years to integrate with continuous glucose monitors (CGM) and incorporate control algorithms. These control algorithms automate some insulin delivery in response to the glucose information received from the CGM to reduce the occurrence of hypoglycemia and hyperglycemia and improve overall glycemic control. The t:slim X2 insulin pump system became commercially available in 2016. It is an innovative insulin pump technology that can be updated remotely by the user to install new software onto the pump device as new technologies become available. Currently, the t:slim X2 pairs with the Dexcom G6 CGM and there are two advanced software options available: Basal-IQ, which is a predictive low glucose suspend (PLGS) technology, and Control-IQ, which is a Hybrid Closed Loop (HCL) technology. This paper will describe the different types of advanced insulin pump technologies, review how the t:slim X2 insulin pump works, and summarize the clinical studies leading to FDA approval and commercialization of the Basal-IQ and Control-IQ technologies.
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Affiliation(s)
- Cari Berget
- School of Medicine, Barbara Davis Center for Childhood Diabetes, University of Colorado Anschutz Campus , Aurora, CO, USA
| | - Samantha Lange
- School of Medicine, Barbara Davis Center for Childhood Diabetes, University of Colorado Anschutz Campus , Aurora, CO, USA
| | - Laurel Messer
- School of Medicine, Barbara Davis Center for Childhood Diabetes, University of Colorado Anschutz Campus , Aurora, CO, USA
| | - Gregory P Forlenza
- School of Medicine, Barbara Davis Center for Childhood Diabetes, University of Colorado Anschutz Campus , Aurora, CO, USA
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18
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Wu Z, Luo S, Zheng X, Bi Y, Xu W, Yan J, Yang D, Weng J. Use of a do-it-yourself artificial pancreas system is associated with better glucose management and higher quality of life among adults with type 1 diabetes. Ther Adv Endocrinol Metab 2020; 11:2042018820950146. [PMID: 32922721 PMCID: PMC7453453 DOI: 10.1177/2042018820950146] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2020] [Accepted: 07/23/2020] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND Previous studies show that the use of do-it-yourself artificial pancreas system (DIYAPS) may be associated with better glycemic control characterized by improved estimated hemoglobin A1c (eHbA1c) and time in range among adults with type 1 diabetes (T1D). However, few studies have demonstrated the changes in laboratory-measured HbA1c, which is a more accepted index for glycemic control, after using a DIYAPS. METHODS This is a retrospective before-after study approaching patients who reported self-use of AndroidAPS. The main inclusion criteria included: T1D; aged ⩾18 years; having complete record of ⩾3 months of continuous AndroidAPS use; with laboratory-measured HbA1c and quality of life scale data before and after 3 months of AndroidAPS use; and not pregnant. The primary outcome was the change in HbA1c between baseline and 3 months after initiation of AndroidAPS use. RESULTS Overall, 15 patients (10 females) were included; the median age was 32.2 years (range: 19.2-69.4), median diabetes duration was 9.7 years (range: 1.8-23.7) and median baseline HbA1c was 7.3% (range: 6.4-10.1). The 3 months of AndroidAPS use was associated with substantial reductions in HbA1c [6.79% (SD: 1.29) versus 7.63% (SD: 1.06), p = 0.002] and glycemic variability when compared with sensor-augmented pump therapy. A lower level of fear of hypoglycemia [22.13 points (SD: 6.87) versus 26.27 points (SD: 5.82), p = 0.010] was also observed after using AndroidAPS. CONCLUSIONS The 3 months of AndroidAPS use was associated with significant improvements in glucose management and quality of life among adults with T1D.
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Affiliation(s)
- Zekai Wu
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diabetology, Guangzhou, China
| | - Sihui Luo
- Department of Endocrinology and Metabolism, The First Affiliated Hospital of University of Science and Technology of China, Division of Life Sciences of Medicine, University of Science and Technology of China, Hefei, China
| | - Xueying Zheng
- Department of Endocrinology and Metabolism, The First Affiliated Hospital of University of Science and Technology of China, Division of Life Sciences of Medicine, University of Science and Technology of China, Hefei, China
| | - Yan Bi
- Department of Endocrinology, Drum Tower Hospital Affiliated to Nanjing University Medical School, Nanjing, China
| | - Wen Xu
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diabetology, Guangzhou, China
| | - Jinhua Yan
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diabetology, Guangzhou, China
| | - Daizhi Yang
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diabetology, Guangzhou, China
| | - Jianping Weng
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Sun Yat-sen University, Guangdong Provincial Key Laboratory of Diabetology, Guangzhou 510630, China
- Department of Endocrinology and Metabolism, The First Affiliated Hospital of USTC, Division of Life Sciences of Medicine, University of Science and Technology of China, 17 Lujiang Road, Hefei 230001, People’s Republic of China
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19
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Kapil S, Saini R, Wangnoo S, Dhir S. Artificial Pancreas System for Type 1 Diabetes—Challenges and Advancements. EXPLORATORY RESEARCH AND HYPOTHESIS IN MEDICINE 2020; 000:1-11. [DOI: 10.14218/erhm.2020.00028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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