1
|
Wang YY, Ying HM, Tian F, Qian XL, Zhou ZF, Zhou CC. Automated insulin delivery in children with type 1 diabetes during physical activity: a meta-analysis. J Pediatr Endocrinol Metab 2024; 37:505-515. [PMID: 38700489 DOI: 10.1515/jpem-2024-0098] [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: 02/24/2024] [Accepted: 04/18/2024] [Indexed: 05/05/2024]
Abstract
OBJECTIVES The aim of this study was to evaluate the performance of the automated insulin delivery (AID) in adolescents, and children with type 1 diabetes (T1D) during physical activity. METHODS Relevant studies were searched electronically in the Cochrane Library, PubMed, and Embase utilizing the key words "Child", "Insulin Infusion Systems", and "Diabetes Mellitus" from inception to 17th March 2024 to evaluate the performance of the AID in adolescents, and children with T1D during physical activity. RESULTS Twelve studies involving 514 patients were identified. AID did not show a beneficial effect on duration of hypoglycemia<70 mg/dL during study period (p>0.05; I2=96 %) and during the physical activity (p>0.99). Percentage of sensor glucose values in TIR was higher in AID than the non-AID pumps during study period (p<0.001; I2=94 %). The duration of hyperglycemic time was significantly decreased in AID group compared to the non-AID pumps group during study period (p<0.05; I2>50 %). CONCLUSIONS AID improved TIR and decreased the duration of hyperglycemic time, but did not appear to have a significant beneficial effect on the already low post-exercise duration of hypoglycemia achievable by open loop or sensor-augmented pumps in adolescents and children with T1D during physical activity; further research is needed to confirm the beneficial effect of AID on duration of hypoglycemia.
Collapse
Affiliation(s)
- Yuan-Yuan Wang
- Department of Endocrinology, 631689 Xixi Hospital of Hangzhou , Hangzhou, Zhejiang Province, P.R. China
| | - Hui-Min Ying
- Department of Endocrinology, 631689 Xixi Hospital of Hangzhou , Hangzhou, Zhejiang Province, P.R. China
| | - Fang Tian
- Department of Endocrinology, 631689 Xixi Hospital of Hangzhou , Hangzhou, Zhejiang Province, P.R. China
| | - Xiao-Lu Qian
- Department of Endocrinology, 631689 Xixi Hospital of Hangzhou , Hangzhou, Zhejiang Province, P.R. China
| | - Zhen-Feng Zhou
- Department of Anesthesiology, Hangzhou Women's Hospital (Hangzhou Maternity and Child Health Care Hospital, Hangzhou First People's Hospital Qianjiang New City Campus, Zhejiang Chinese Medical University), Hangzhou, P.R. China
| | - Chun-Cong Zhou
- Department of Urolithiasis and Anorectal Surgery, Ningbo No. 2 Hospital, Ningbo, Zhejiang Province, P.R. China
| |
Collapse
|
2
|
Boughton CK, Hovorka R. The role of automated insulin delivery technology in diabetes. Diabetologia 2024:10.1007/s00125-024-06165-w. [PMID: 38740602 DOI: 10.1007/s00125-024-06165-w] [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: 03/04/2024] [Accepted: 03/21/2024] [Indexed: 05/16/2024]
Abstract
The role of automated insulin delivery systems in diabetes is expanding. Hybrid closed-loop systems are being used in routine clinical practice for treating people with type 1 diabetes. Encouragingly, real-world data reflects the performance and usability observed in clinical trials. We review the commercially available hybrid closed-loop systems, their distinctive features and the associated real-world data. We also consider emerging indications for closed-loop systems, including the treatment of type 2 diabetes where variability of day-to-day insulin requirements is high, and other challenging applications for this technology. We discuss issues around access and implementation of closed-loop technology, and consider the limitations of present closed-loop systems, as well as innovative approaches that are being evaluated to improve their performance.
Collapse
Affiliation(s)
- Charlotte K Boughton
- Wellcome-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
| | - Roman Hovorka
- Wellcome-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| |
Collapse
|
3
|
Karakuş KE, Yeşiltepe Mutlu G, Gökçe T, Eviz E, Can E, Muradoğlu S, Hatun Ş. Insulin Requirements for Basal and Auto-Correction Insulin Delivery in Advanced Hybrid Closed-Loop System: 4193 Days' Real-World Data of Children in Two Different Age Groups. J Diabetes Sci Technol 2024; 18:445-453. [PMID: 35771030 PMCID: PMC10973851 DOI: 10.1177/19322968221106194] [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] [Indexed: 11/16/2022]
Abstract
BACKGROUND The insulin requirements of people with type 1 diabetes (T1D) can vary throughout the day due to factors such as biorhythm, exercise, and food intake. The MiniMed 780G system delivers micro boluses to adjust basal insulin and delivers auto-correction boluses to meet insulin needs when micro bolus increases are insufficient. Through analysis of MiniMed 780G data, this study investigates the variations in insulin requirements throughout the day. METHODS 4193 days' pump and continuous glucose monitoring (CGM) data of 34 children using MiniMed 780G were collected from Medtronic CareLink. Micro and auto-correction boluses were analyzed on an hourly basis for two age groups: below nine years old and above nine years old. Glycemic metrics were analyzed based on International CGM consensus. RESULTS The mean age was 12.3 years and mean duration of diabetes was 6.1 years. The mean time in range (TIR) and glucose management indicator (GMI) were 80.5% and 6.6%, respectively. The micro bolus (basal) ratio between 05.00 and 07.00 was significantly higher than the ratio between 10.00 and 03.00 (P < .01), whereas micro bolus was significantly lower between 19.00 and 21.00 than those between 00.00 and 10.00 (P < .001). The auto-correction ratio between 21.00 and 00.00 was significantly higher than those between 03.00-17.00 (P < .001) and 19.00-21.00 (P = .008), whereas auto-correction was significantly lower between 07.00 and 10.00 than those between 10.00 and 03.00 (P < .001). The micro bolus ratio was significantly higher in children below nine years old than in children above nine years old between 21.00-00.00 (P = .026) and 00.00-03.00 (P = .003). CONCLUSION The basal insulin need follows a diurnal pattern with two significantly different periods-high between 00.00 and 10.00 and low between 10.00 and 00.00. The auto-correction rates are low between 05.00 and 10.00 and show an increasing pattern peaking between 21.00 and 00.00. These findings are compatible with the dawn and reverse dawn phenomena.
Collapse
Affiliation(s)
| | - Gül Yeşiltepe Mutlu
- Koc University School of Medicine, Istanbul, Turkey
- Division of Pediatric Endocrinology and Diabetes, Koc University Hospital, Istanbul, Turkey
| | - Tuğba Gökçe
- Division of Pediatric Endocrinology and Diabetes, Koc University Hospital, Istanbul, Turkey
| | - Elif Eviz
- Division of Pediatric Endocrinology and Diabetes, Koc University Hospital, Istanbul, Turkey
| | - Ecem Can
- Division of Pediatric Endocrinology and Diabetes, Koc University Hospital, Istanbul, Turkey
| | - Serra Muradoğlu
- Division of Pediatric Endocrinology and Diabetes, Koc University Hospital, Istanbul, Turkey
| | - Şükrü Hatun
- Koc University School of Medicine, Istanbul, Turkey
- Division of Pediatric Endocrinology and Diabetes, Koc University Hospital, Istanbul, Turkey
| |
Collapse
|
4
|
Lei M, Chen D, Ling P, Wang C, Yang D, Deng H, Yang X, Xu W, Yan J. Effect of artificial pancreas system use on glycaemic control among pregnant women with type 1 diabetes mellitus: A meta-analysis of randomized controlled trials. Diabetes Obes Metab 2024; 26:673-681. [PMID: 37953389 DOI: 10.1111/dom.15357] [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: 08/27/2023] [Revised: 10/17/2023] [Accepted: 10/17/2023] [Indexed: 11/14/2023]
Abstract
AIM To assess the efficacy of artificial pancreas systems (APS) use among pregnant women with type 1 diabetes mellitus (T1DM) by conducting a meta-analysis. METHODS We searched five databases, including EMBASE, Web of Science, PubMed, Cochrane Library and SCOPUS, for literature on APS use among pregnant women with T1DM before October 9, 2023. The primary endpoint was 24-hour time in range (TIR; 3.5-7.8 mmol/L). Secondary endpoints included glycaemic metrics for 24-hour (mean blood glucose [MBG], time above range [TAR], time below range [TBR]), and overnight TIR and TBR. RESULTS We identified four randomized controlled trials involving 164 participants; one study with 16 participants focused on overnight APS use, and the other three focused on 24-hour APS use. Compared with standard care, APS exhibited a favourable effect on 24-hour TIR (standard mean difference [SMD] = 0.53, 95% confidence interval [CI] 0.25, 0.80, P < 0.001), overnight TIR (SMD = 0.67, 95% CI 0.39, 0.95, P < 0.001), and overnight TBR (<3.5 mmol/L; SMD = -0.49, 95% CI -0.77, -0.21 P < 0.001), while there was no significant difference in 24-hour TAR, 24-hour TBR, or MBG between the two groups. We further conducted subgroup analyses after removing the trial focused on overnight APS use and showed that 24-hour APS use reduced not only the 24-hour TIR (SMD = 0.41, 95% CI 0.12, 0.71; P = 0.007) but also the 24-hour TBR (<2.8 mmol/L; SMD = -0.77, 95% CI -1.32, -0.23, P = 0.006). CONCLUSION Our findings suggest that APS might improve 24-hour TIR and overnight glycaemic control, and 24-hour APS use also significantly reduced 24-hour TBR (2.8 mmol/L) among pregnant women with T1DM.
Collapse
Affiliation(s)
- Mengyun Lei
- Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Danrui Chen
- Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Ping Ling
- Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Chaofan Wang
- Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Daizhi Yang
- Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Hongrong Deng
- Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xubin Yang
- Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Wen Xu
- Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jinhua Yan
- Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| |
Collapse
|
5
|
Subramanian S, Khan F, Hirsch IB. New advances in type 1 diabetes. BMJ 2024; 384:e075681. [PMID: 38278529 DOI: 10.1136/bmj-2023-075681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2024]
Abstract
Type 1 diabetes is an autoimmune condition resulting in insulin deficiency and eventual loss of pancreatic β cell function requiring lifelong insulin therapy. Since the discovery of insulin more than 100 years ago, vast advances in treatments have improved care for many people with type 1 diabetes. Ongoing research on the genetics and immunology of type 1 diabetes and on interventions to modify disease course and preserve β cell function have expanded our broad understanding of this condition. Biomarkers of type 1 diabetes are detectable months to years before development of overt disease, and three stages of diabetes are now recognized. The advent of continuous glucose monitoring and the newer automated insulin delivery systems have changed the landscape of type 1 diabetes management and are associated with improved glycated hemoglobin and decreased hypoglycemia. Adjunctive therapies such as sodium glucose cotransporter-1 inhibitors and glucagon-like peptide 1 receptor agonists may find use in management in the future. Despite these rapid advances in the field, people living in under-resourced parts of the world struggle to obtain necessities such as insulin, syringes, and blood glucose monitoring essential for managing this condition. This review covers recent developments in diagnosis and treatment and future directions in the broad field of type 1 diabetes.
Collapse
Affiliation(s)
- Savitha Subramanian
- University of Washington Diabetes Institute, Division of Metabolism, Endocrinology and Nutrition, University of Washington, Seattle, WA, USA
| | - Farah Khan
- University of Washington Diabetes Institute, Division of Metabolism, Endocrinology and Nutrition, University of Washington, Seattle, WA, USA
| | - Irl B Hirsch
- University of Washington Diabetes Institute, Division of Metabolism, Endocrinology and Nutrition, University of Washington, Seattle, WA, USA
| |
Collapse
|
6
|
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. 7. Diabetes Technology: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S126-S144. [PMID: 38078575 PMCID: PMC10725813 DOI: 10.2337/dc24-s007] [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.
Collapse
|
7
|
Zeng B, Gao L, Yang Q, Jia H, Sun F. Automated Insulin Delivery Systems in Children and Adolescents With Type 1 Diabetes: A Systematic Review and Meta-analysis of Outpatient Randomized Controlled Trials. Diabetes Care 2023; 46:2300-2307. [PMID: 38011519 DOI: 10.2337/dc23-0504] [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: 03/22/2023] [Accepted: 07/08/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND The glycemic control of automated insulin delivery (AID) systems in outpatient children and adolescents with type 1 diabetes (T1D) has not been systematically evaluated. PURPOSE To evaluate the efficacy and safety of AID systems in children and adolescents in outpatient settings. DATA SOURCES PubMed, Embase, the Cochrane Central Register of Controlled Trials, and ClinicalTrials.gov were searched until 4 May 2023. This study was registered with PROSPERO (2023, CRD42023395252). STUDY SELECTION Randomized controlled trials that compared AID systems with conventional insulin therapy in outpatient children and adolescents with T1D and reported continuous glucose monitoring outcomes were selected. DATA EXTRACTION Percent time in range (TIR) (3.9-10 mmol/L), time below range (TBR) (<3.9 mmol/L), and time above range (TAR) (>10 mmol/L) were extracted. Data were summarized as mean differences (MDs) with 95% CIs. DATA SYNTHESIS Twenty-five trials (1,345 participants) were included in the meta-analysis. AID systems were associated with an increased percentage of TIR (MD, 11.38% [95% CI 9.01-13.76], P < 0.001; high certainty). The favorable effect was consistent whether AID was used over 3 months (10.46% [8.71-12.20]) or 6 months (10.87% [7.11-14.63]). AID systems had a favorable effect on the proportion of TBR (-0.59% [-1.02 to -0.15], P = 0.008; low certainty) or TAR (-12.19% [-14.65 to -9.73], P < 0.001; high certainty) compared with control treatment. LIMITATIONS Substantial heterogeneity was observed in most analyses. CONCLUSIONS AID systems are more effective than conventional insulin therapy for children and adolescents with T1D in outpatient settings. The favorable effect is consistent both in the short term and long term.
Collapse
Affiliation(s)
- Baoqi Zeng
- Central Laboratory, Peking University Binhai Hospital, Tianjin, China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Le Gao
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong, China
| | - Qingqing Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Hao Jia
- Drug Clinical Trial Institution, Peking University Binhai Hospital, Tianjin, China
| | - Feng Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases, Peking University, Ministry of Health, Beijing, China
| |
Collapse
|
8
|
Caldara R, Tomajer V, Monti P, Sordi V, Citro A, Chimienti R, Gremizzi C, Catarinella D, Tentori S, Paloschi V, Melzi R, Mercalli A, Nano R, Magistretti P, Partelli S, Piemonti L. Allo Beta Cell transplantation: specific features, unanswered questions, and immunological challenge. Front Immunol 2023; 14:1323439. [PMID: 38077372 PMCID: PMC10701551 DOI: 10.3389/fimmu.2023.1323439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 11/06/2023] [Indexed: 12/18/2023] Open
Abstract
Type 1 diabetes (T1D) presents a persistent medical challenge, demanding innovative strategies for sustained glycemic control and enhanced patient well-being. Beta cells are specialized cells in the pancreas that produce insulin, a hormone that regulates blood sugar levels. When beta cells are damaged or destroyed, insulin production decreases, which leads to T1D. Allo Beta Cell Transplantation has emerged as a promising therapeutic avenue, with the goal of reinstating glucose regulation and insulin production in T1D patients. However, the path to success in this approach is fraught with complex immunological hurdles that demand rigorous exploration and resolution for enduring therapeutic efficacy. This exploration focuses on the distinct immunological characteristics inherent to Allo Beta Cell Transplantation. An understanding of these unique challenges is pivotal for the development of effective therapeutic interventions. The critical role of glucose regulation and insulin in immune activation is emphasized, with an emphasis on the intricate interplay between beta cells and immune cells. The transplantation site, particularly the liver, is examined in depth, highlighting its relevance in the context of complex immunological issues. Scrutiny extends to recipient and donor matching, including the utilization of multiple islet donors, while also considering the potential risk of autoimmune recurrence. Moreover, unanswered questions and persistent gaps in knowledge within the field are identified. These include the absence of robust evidence supporting immunosuppression treatments, the need for reliable methods to assess rejection and treatment protocols, the lack of validated biomarkers for monitoring beta cell loss, and the imperative need for improved beta cell imaging techniques. In addition, attention is drawn to emerging directions and transformative strategies in the field. This encompasses alternative immunosuppressive regimens and calcineurin-free immunoprotocols, as well as a reevaluation of induction therapy and recipient preconditioning methods. Innovative approaches targeting autoimmune recurrence, such as CAR Tregs and TCR Tregs, are explored, along with the potential of stem stealth cells, tissue engineering, and encapsulation to overcome the risk of graft rejection. In summary, this review provides a comprehensive overview of the inherent immunological obstacles associated with Allo Beta Cell Transplantation. It offers valuable insights into emerging strategies and directions that hold great promise for advancing the field and ultimately improving outcomes for individuals living with diabetes.
Collapse
Affiliation(s)
- Rossana Caldara
- Clinic Unit of Regenerative Medicine and Organ Transplants, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Valentina Tomajer
- Pancreatic Surgery, Pancreas Translational & Clinical Research Center, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Paolo Monti
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Valeria Sordi
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Antonio Citro
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Raniero Chimienti
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | - Chiara Gremizzi
- Clinic Unit of Regenerative Medicine and Organ Transplants, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Davide Catarinella
- Clinic Unit of Regenerative Medicine and Organ Transplants, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Stefano Tentori
- Clinic Unit of Regenerative Medicine and Organ Transplants, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Vera Paloschi
- Clinic Unit of Regenerative Medicine and Organ Transplants, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Raffella Melzi
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Alessia Mercalli
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Rita Nano
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Paola Magistretti
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Stefano Partelli
- Pancreatic Surgery, Pancreas Translational & Clinical Research Center, IRCCS Ospedale San Raffaele, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | - Lorenzo Piemonti
- Clinic Unit of Regenerative Medicine and Organ Transplants, IRCCS Ospedale San Raffaele, Milan, Italy
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| |
Collapse
|
9
|
Battelino T, Brosius F, Ceriello A, Cosentino F, Green J, Kellerer M, Koob S, Kosiborod M, Lalic N, Marx N, Nedungadi TP, Rydén L, Rodbard HW, Ji L, Sheu WHH, Standl E, Parkin CG, Schnell O. Guideline Development for Medical Device Technology: Issues for Consideration. J Diabetes Sci Technol 2023; 17:1698-1710. [PMID: 35531901 PMCID: PMC10658688 DOI: 10.1177/19322968221093355] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Advances in the development of innovative medical devices and telehealth technologies create the potential to improve the quality and efficiency of diabetes care through collecting, aggregating, and interpreting relevant health data in ways that facilitate more informed decisions among all stakeholder groups. Although many medical societies publish guidelines for utilizing these technologies in clinical practice, we believe that the methodologies used for the selection and grading of the evidence should be revised. In this article, we discuss the strengths and limitations of the various types of research commonly used for evidence selection and grading and present recommendations for modifying the process to more effectively address the rapid pace of device and technology innovation and new product development.
Collapse
Affiliation(s)
- Tadej Battelino
- University Medical Center Ljubljana, University of Ljubljana, Ljubljana, Slovenia
| | - Frank Brosius
- University of Arizona College of Medicine–Tucson, AZ, USA
| | | | - Francesco Cosentino
- Cardiology Unit, Department of Medicine, Karolinska Institute, Karolinska University Hospital, Stockholm, Sweden
| | - Jennifer Green
- Duke University Medical Center, Duke Clinical Research Institute, Durham, NC, USA
| | | | | | - Mikhail Kosiborod
- Saint Luke’s Mid America Heart Institute, University of Missouri-Kansas City, Kansas City, MO, USA
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Nebojsa Lalic
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Center of Serbia, University of Belgrade, Belgrade, Serbia
| | - Nikolaus Marx
- Department of Internal Medicine I, University Hospital Aachen, RWTH Aachen University, Aachen, Germany
| | | | - Lars Rydén
- Department of Medicine K2, Karolinska Institute, Stockholm, Sweden
| | | | - Linong Ji
- Peking University People’s Hospital, Beijing, China
| | - Wayne Huey-Herng Sheu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung City
| | | | | | | |
Collapse
|
10
|
Stahl-Pehe A, Schlesinger S, Kuss O, Shokri-Mashhadi N, Bächle C, Warz KD, Bürger-Büsing J, Holl R, Spörkel O, Rosenbauer J. Efficacy of automated insulin delivery (AID) systems in type 1 diabetes: protocol of a systematic review and network meta-analysis of outpatient randomised controlled trials. BMJ Open 2023; 13:e074317. [PMID: 37816564 PMCID: PMC10565260 DOI: 10.1136/bmjopen-2023-074317] [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: 04/03/2023] [Accepted: 09/13/2023] [Indexed: 10/12/2023] Open
Abstract
INTRODUCTION Automated insulin delivery (AID), also known as artificial pancreas system or 'closed-loop system', represents a novel option for current treatments for type 1 diabetes (T1D). The objective of this systematic review and meta-analysis is to assess the efficacy of AID systems in comparison with current intensified insulin therapy for glycaemic control and patient-reported outcomes in individuals with T1D. METHODS AND ANALYSIS Studies will be eligible if they are randomised controlled trials (RCTs) in people with T1D of all ages, and if they compare an AID system for self-administration during the day and night period with any other type of insulin therapy for at least 3 weeks. The primary outcome will be time in the glucose target range of 70-180 mg/dL. A systematic review will be conducted in the MEDLINE, Embase, Cochrane Central Register of Controlled Trials and ClinicalTrials.gov registries from their inception dates. Two authors will independently screen all references based on titles and abstracts against the eligibility criteria. For data extraction, standard forms will be developed and tested before extraction. All information will be assessed independently by at least two reviewers. The risk of bias of the included studies will be assessed using the Cochrane Risk of Bias 2 tool. The data synthesis will include a random-effects pairwise and network meta-analysis (NMA) in a frequentist framework. Where applicable and if sufficient RCTs are available, sensitivity analyses will be performed, and heterogeneity and publication bias will be assessed. The certainty of evidence from the NMA will be evaluated following the Grading of Recommendations Assessment, Development, and Evaluation working group guidance. ETHICS AND DISSEMINATION No ethical approval is needed. The results will be reported to the funder, presented in a peer-reviewed scientific journal and at conferences, and disseminated via press release, social media and public events. PROSPERO REGISTRATION NUMBER CRD42023395492.
Collapse
Affiliation(s)
- Anna Stahl-Pehe
- German Diabetes Center, Leibniz Center for Diabetes Research at the Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Neuherberg, Germany
| | - Sabrina Schlesinger
- German Diabetes Center, Leibniz Center for Diabetes Research at the Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Neuherberg, Germany
| | - Oliver Kuss
- German Diabetes Center, Leibniz Center for Diabetes Research at the Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Neuherberg, Germany
| | - Nafiseh Shokri-Mashhadi
- German Diabetes Center, Leibniz Center for Diabetes Research at the Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Neuherberg, Germany
| | - Christina Bächle
- German Diabetes Center, Leibniz Center for Diabetes Research at the Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Neuherberg, Germany
| | - Klaus-D Warz
- Deutsche Diabetes Föderation (DDF), Berlin, Germany
| | | | - Reinhard Holl
- German Center for Diabetes Research, Neuherberg, Germany
- Institut fur Epidemiologie und Medizinische Biometrik, Universitat Ulm, Ulm, Germany
| | - Olaf Spörkel
- German Diabetes Center, Leibniz Center for Diabetes Research at the Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Neuherberg, Germany
| | - Joachim Rosenbauer
- German Diabetes Center, Leibniz Center for Diabetes Research at the Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Neuherberg, Germany
| |
Collapse
|
11
|
Wannes S, Gamal GM, Fredj MB, Al Qusayer D, El Abed S, Sedky Y, Khalil M. Glucose control during Ramadan in a pediatric cohort with type 1 diabetes on MiniMed standard and advanced hybrid closed‑loop systems: A pilot study. Diabetes Res Clin Pract 2023; 203:110867. [PMID: 37544364 DOI: 10.1016/j.diabres.2023.110867] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 07/31/2023] [Accepted: 08/03/2023] [Indexed: 08/08/2023]
Abstract
BACKGROUND Hybrid closed-loop (HCL) systems have revolutionized the treatment of diabetes, enabling doctors to cope with challenging conditions that were previously almost impossible to manage or were very risky and difficult. AIMS To assess the efficacy and safety of a hybrid closed-loop (HCL) system during Ramadan fasting in a pediatric cohort with type 1 diabetes (T1D). RESEARCH DESIGN AND METHODS Glucose control outcomes in older children and adolescents aged 8-16 years with automated insulin delivery for T1D were analyzed during Ramadan and 1 month before Ramadan. Participants on MiniMed standard HCL (670G) or advanced HCL (780G) systems of Medtronic were categorized as fasting or nonfasting. RESULTS The average age of the 19 participants (8 and 11 were on standard and advanced HCL systems, respectively) was 11.35 ± 2 years. Eleven patients fasted during Ramadan. Pump setup and sensor statistics were the same during Ramadan and the month before; no significant difference was found between the two groups in terms of insulin and glucose control metrics, with practically the same coefficient of variation, time in range (TIR) and time spent in hypoglycemia, maintained within the international recommended targets. Total daily doses were paradoxically higher in patients who fasted during Ramadan (p = 0.01), without repercussions on glucose control metrics. CONCLUSIONS Standard and advanced HCL use during Ramadan were safe and were associated with a maintained optimum TIR (>70 %) and no significant hypoglycemia in adolescents and older children with T1D.
Collapse
Affiliation(s)
- Selmen Wannes
- Department of Pediatrics, Mouwasat Hospital, Imam Al Termithy Street, Uhud, 32263 Dammam, Saudi Arabia; Faculty of Medicine of Monastir, University of Monastir, 5019 Monastir, Tunisia; Department of Pediatrics, University Hospital Thar Sfar de Mahdia, 5100 Mahdia, Tunisia.
| | - Gehad Mohamed Gamal
- Department of Pediatrics, Mouwasat Hospital, Imam Al Termithy Street, Uhud, 32263 Dammam, Saudi Arabia; Beni-Suef University, Beni-Suef, Egypt
| | - Manel Ben Fredj
- Faculty of Medicine of Monastir, University of Monastir, 5019 Monastir, Tunisia; Department of Epidemiology, University Hospital Fattouma Bourguiba, 5019 Monastir, Tunisia
| | - Dhai Al Qusayer
- Department of Pediatrics, Mouwasat Hospital, Imam Al Termithy Street, Uhud, 32263 Dammam, Saudi Arabia
| | - Sameh El Abed
- Diabetic Center, Mouwasat Hospital, Imam Al Termithy Street, Uhud, 32263 Dammam, Saudi Arabia
| | - Yasser Sedky
- Department of Pediatrics, Mouwasat Hospital, Imam Al Termithy Street, Uhud, 32263 Dammam, Saudi Arabia; Department of Pediatrics, Cairo University, Egypt
| | - Munther Khalil
- Department of Pediatrics, Mouwasat Hospital, Imam Al Termithy Street, Uhud, 32263 Dammam, Saudi Arabia
| |
Collapse
|
12
|
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: 2] [Impact Index Per Article: 2.0] [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.
Collapse
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;
| |
Collapse
|
13
|
Ekhlaspour L, Raghinaru D, Forlenza GP, Isganaitis E, Kudva YC, Lam DW, Levister C, O’Malley G, Church MM, Lum JW, Buckingham B, Brown SA. Outcomes in Pump- and CGM-Baseline Use Subgroups in the International Diabetes Closed-Loop Trial. J Diabetes Sci Technol 2023; 17:935-942. [PMID: 35473359 PMCID: PMC10347978 DOI: 10.1177/19322968221089361] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND We investigated the potential benefits of automated insulin delivery (AID) among individuals with type 1 diabetes (T1D) in sub-populations of baseline device use determined by continuous glucose monitor (CGM) use status and insulin delivery via multiple daily injections (MDI) or insulin pump. MATERIALS AND METHODS In a six-month randomized, multicenter trial, 168 individuals were assigned to closed-loop control (CLC, Control-IQ, Tandem Diabetes Care), or sensor-augmented pump (SAP) therapy. The trial included a two- to eight-week run-in phase to train participants on study devices. The participants were stratified into four subgroups: insulin pump and CGM (pump+CGM), pump-only, MDI and CGM (MDI+CGM), and MDI users without CGM (MDI-only) users. We compared glycemic outcomes among four subgroups. RESULTS At baseline, 61% were pump+CGM users, 18% pump-only users, 10% MDI+CGM users, and 11% MDI-only users. Mean time in range 70-180 mg/dL (TIR) improved from baseline in the four subgroups using CLC: pump+CGM, 62% to 73%; pump-only, 61% to 70%; MDI+CGM, 54% to 68%; and MDI-only, 61% to 69%. The reduction in time below 70 mg/dL from baseline was comparable among the four subgroups. No interaction effect was detected with baseline device use for TIR (P = .67) or time below (P = .77). On the System Usability Questionnaire, scores were high at 26 weeks for all subgroups: pump+CGM: 87.2 ± 12.1, pump-only: 89.4 ± 8.2, MDI+CGM 87.2 ± 9.3, MDI: 78.1 ± 15. CONCLUSIONS There was a consistent benefit in patients with T1D when using CLC, regardless of baseline insulin delivery modality or CGM use. These data suggest that this CLC system can be considered across a wide range of patients.
Collapse
Affiliation(s)
- Laya Ekhlaspour
- Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Gregory P. Forlenza
- Barbara Davis Center for Diabetes, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - Elvira Isganaitis
- Research Division, Joslin Diabetes Center, Inc., Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Yogish C. Kudva
- Division of Endocrinology, Diabetes, Metabolism and Nutrition, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - David W. Lam
- Division of Endocrinology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Camilla Levister
- Division of Endocrinology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Grenye O’Malley
- Division of Endocrinology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mei Mei Church
- Sansum Diabetes Research Institute, Santa Barbara, CA, USA
| | - John W. Lum
- Jaeb Center for Health Research, Tampa, FL, USA
| | - Bruce Buckingham
- Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Sue A. Brown
- University of Virginia Center for Diabetes Technology, Charlottesville, VA, USA
| |
Collapse
|
14
|
Erić K, Veselinović MS, Patenković A, Davidović S, Erić P, Stamenković-Radak M, Tanasković M. Population History Shapes Responses to Different Temperature Regimes in Drosophila subobscura. Life (Basel) 2023; 13:1333. [PMID: 37374116 DOI: 10.3390/life13061333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/12/2023] [Accepted: 05/22/2023] [Indexed: 06/29/2023] Open
Abstract
Drosophila subobscura is considered a good model species for investigation of a population's ability to adapt and cope with climate changes. Decade long research has shown that inversion frequencies change in response to environmental factors indicating their role in adaptation to novel environments. The mechanisms behind organisms' responses to temperature are complex, involving changes in physiology, behavior, gene expression and regulation. On the other hand, a population's ability to respond to suboptimal conditions depends on standing genetic variation and population history. In order to elucidate the role of local adaptation in population response to the changing temperature, we investigated the response to temperature in D. subobscura individuals originating from two different altitudes by combining traditional cytogenetic techniques with assessing the levels of Hsp70 protein expression. Inversion polymorphism was assessed in the flies sampled from natural populations and in flies reared in laboratory conditions at three different temperatures after five and sixteen generations and Hsp70 protein expression profile in 12th generation flies at the basal level and after heat shock induction. Our results indicate that local adaptation and population history influence population response to the changing temperature.
Collapse
Affiliation(s)
- Katarina Erić
- Department of Genetics of Populations and Ecogenotoxicology, Institute for Biological Research "Siniša Stanković"-National Institute of the Republic of Serbia, University of Belgrade, Despot Stefan Blvd. 142, 11060 Belgrade, Serbia
| | | | - Aleksandra Patenković
- Department of Genetics of Populations and Ecogenotoxicology, Institute for Biological Research "Siniša Stanković"-National Institute of the Republic of Serbia, University of Belgrade, Despot Stefan Blvd. 142, 11060 Belgrade, Serbia
| | - Slobodan Davidović
- Department of Genetics of Populations and Ecogenotoxicology, Institute for Biological Research "Siniša Stanković"-National Institute of the Republic of Serbia, University of Belgrade, Despot Stefan Blvd. 142, 11060 Belgrade, Serbia
| | - Pavle Erić
- Department of Genetics of Populations and Ecogenotoxicology, Institute for Biological Research "Siniša Stanković"-National Institute of the Republic of Serbia, University of Belgrade, Despot Stefan Blvd. 142, 11060 Belgrade, Serbia
| | | | - Marija Tanasković
- Department of Genetics of Populations and Ecogenotoxicology, Institute for Biological Research "Siniša Stanković"-National Institute of the Republic of Serbia, University of Belgrade, Despot Stefan Blvd. 142, 11060 Belgrade, Serbia
| |
Collapse
|
15
|
Kesavadev J, Basanth A, Krishnan G, Shankar A, Sanal G, Jothydev S. Real-World User and Clinician Perspective and Experience with MiniMed™ 780G Advanced Hybrid Closed Loop System. Diabetes Ther 2023:10.1007/s13300-023-01427-z. [PMID: 37278948 PMCID: PMC10299959 DOI: 10.1007/s13300-023-01427-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 05/18/2023] [Indexed: 06/07/2023] Open
Abstract
INTRODUCTION The advanced hybrid closed loop (AHCL) MiniMed™ 780G system changes basal insulin delivery every 5 min and auto bolus in response to sensor glucose values. We assessed the performance of the AHCL system in real-world settings for individuals with type 1 diabetes (T1DM) as well as user and clinician perspectives and satisfaction. METHODS We held two peer group discussions: one having adults with T1DM/parents of children and adolescents with T1DM to understand their experiences with the AHCL system and another with healthcare providers (HCPs). Responses from the discussions were analyzed and categorized into themes by two independent researchers, with any inconsistencies resolved by consensus. We also analyzed data from the system uploaded to CareLink personal software. Glycemic outcomes, including time in range (TIR), time below range (TBR), time above range (TAR), mean sensor glucose (SG) levels, glucose management indicator (GMI), sensor use, and percentage of time spent in AHCL, were determined. RESULTS The peer group discussions revealed numerous key themes and issues for each group, such as the significance of setting reasonable expectations, carbohydrate counting and bolus dosing, technical difficulties, and overall user experience. The users (n = 25; T1DM; 17 female; age 13.8 ± 7.49 years; A1C 6.54 ± 0.45%; duration of diabetes 6 ± 6.78 years) were very satisfied with the system. Most users experienced consistent blood glucose values with very few hypoglycemic episodes. However, there were a few limitations reported, such as hyperglycemic episodes caused by inaccuracies in carb counting, issues with sensor connectivity, and cannula blockages or kinking for those using insulin Fiasp. Users achieved a mean GMI of 6.4 ± 0.26%, TIR of 83.0 ± 8.12%, TBR (54-70 mg/dL) of 2.0 ± 0.81%, TBR* (< 54 mg/dL) of 0%. All of the users achieved a TIR of > 70%. CONCLUSION The use of the AHCL system in T1DM resulted in robust glycemic control, minimizing hypoglycemia. Providing training to both users and HCPs can help them use the system effectively.
Collapse
Affiliation(s)
- Jothydev Kesavadev
- Jothydev's Diabetes Research Center, JDC Junction, Mudavanmugal, Trivandrum, Kerala, 695032, India.
| | - Anjana Basanth
- Jothydev's Diabetes Research Center, JDC Junction, Mudavanmugal, Trivandrum, Kerala, 695032, India
| | - Gopika Krishnan
- Jothydev's Diabetes Research Center, JDC Junction, Mudavanmugal, Trivandrum, Kerala, 695032, India
| | - Arun Shankar
- Jothydev's Diabetes Research Center, JDC Junction, Mudavanmugal, Trivandrum, Kerala, 695032, India
| | - Geethu Sanal
- Jothydev's Diabetes Research Center, JDC Junction, Mudavanmugal, Trivandrum, Kerala, 695032, India
| | - Sunitha Jothydev
- Jothydev's Diabetes Research Center, JDC Junction, Mudavanmugal, Trivandrum, Kerala, 695032, India
| |
Collapse
|
16
|
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.
Collapse
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.
| |
Collapse
|
17
|
Zhang G, Romo-Anselmo E, Kwa T, Cohen O, Vigersky R, Chattaraj S. Advances in Insulin Infusion Set in the New Era of Automated Insulin Delivery: A Systematic Review. J Diabetes Sci Technol 2023; 17:302-313. [PMID: 36562593 PMCID: PMC10012377 DOI: 10.1177/19322968221145731] [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] [Indexed: 12/24/2022]
Abstract
INTRODUCTION Automated insulin delivery (AID) has become a well-known research topic devoted to achieving better glycemic outcomes. AID systems consist primarily of three components: the continuous glucose monitoring system, the insulin delivery system, either tethered or patch pump, and the control system (algorithm). A key component in the tethered pump AID system is the insulin infusion set (IIS). This Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) study was conducted to evaluate the IIS evolution in the era of AID and to provide future perspectives of IIS clinical use. METHODS Literature searches for articles published from January 2016 to July 2022 were performed in Embase/Medline and PubMed. Data were extracted following PRISMA guidelines. Primary meta-analysis outcomes were IIS wear duration, total daily dose of insulin, and IIS failure reasons/modes. RESULTS We identified 387 publications, of which 15 eligible studies compared various IISs comprising over 1400 participants and >53 000 wears. Half of the studies published in 2022 were focused on extended IISs designed for wear durations of seven days or more. Three clinical trials have demonstrated the safe use of extended IISs to seven days of wear in individuals with type 1 diabetes, and two also demonstrated good glycemic control throughout the seven-day use. CONCLUSIONS Research in insulin infusion technology has increased in the last six years, and extended IISs have demonstrated improved overall performance, particularly in duration of wear. Paths for future products are discussed with an emphasis on understanding the existing barriers related to both technical and nontechnical issues.
Collapse
Affiliation(s)
| | | | - Tim Kwa
- Medtronic Diabetes, Northridge, CA,
USA
| | - Ohad Cohen
- Medtronic Diabetes, Northridge, CA,
USA
- Medtronic International Trading Sàrl,
Chaim Sheba Medical Center, Tel-Hashomer, Israel
| | | | | |
Collapse
|
18
|
Parise M, Di Molfetta S, Graziano RT, Fiorentino R, Cutruzzolà A, Gnasso A, Irace C. A Head-to-Head Comparison of Two Algorithms for Adjusting Mealtime Insulin Doses Based on CGM Trend Arrows in Adult Patients with Type 1 Diabetes: Results from an Exploratory Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3945. [PMID: 36900956 PMCID: PMC10002216 DOI: 10.3390/ijerph20053945] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 02/16/2023] [Accepted: 02/20/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Continuous glucose monitoring (CGM) users are encouraged to consider trend arrows before injecting a meal bolus. We evaluated the efficacy and safety of two different algorithms for trend-informed bolus adjustments, the Diabetes Research in Children Network/Juvenile Diabetes Research Foundation (DirectNet/JDRF) and the Ziegler algorithm, in type 1 diabetes. METHODS We conducted a cross-over study of type 1 diabetes patients using Dexcom G6. Participants were randomly assigned to either the DirectNet/JDRF or the Ziegler algorithm for two weeks. After a 7-day wash-out period with no trend-informed bolus adjustments, they crossed to the alternative algorithm. RESULTS Twenty patients, with an average age of 36 ± 10 years, completed this study. Compared to the baseline and the DirectNet/JDRF algorithm, the Ziegler algorithm was associated with a significantly higher time in range (TIR) and lower time above range and mean glucose. A separate analysis of patients on CSII and MDI revealed that the Ziegler algorithm provides better glucose control and variability than DirectNet/JDRF in CSII-treated patients. The two algorithms were equally effective in increasing TIR in MDI-treated patients. No severe hypoglycemic or hyperglycemic episode occurred during the study. CONCLUSIONS The Ziegler algorithm is safe and may provide better glucose control and variability than the DirectNet/JDRF over a two-week period, especially in patients treated with CSII.
Collapse
Affiliation(s)
- Martina Parise
- Department of Health Science, University Magna Graecia, 88100 Catanzaro, Italy
| | - Sergio Di Molfetta
- Section of Internal Medicine, Endocrinology, Andrology, and Metabolic Diseases, Department of Precision and Regenerative Medicine and Ionian Area, University of Bari, 70121 Bari, Italy
| | | | | | - Antonio Cutruzzolà
- Department of Clinical and Experimental Medicine, University Magna Graecia, 88100 Catanzaro, Italy
| | - Agostino Gnasso
- Department of Clinical and Experimental Medicine, University Magna Graecia, 88100 Catanzaro, Italy
| | - Concetta Irace
- Department of Health Science, University Magna Graecia, 88100 Catanzaro, Italy
| |
Collapse
|
19
|
Wu Z, Lebbar M, Taleb N, Legault L, Messier V, Rabasa-Lhoret R. Comparing dual-hormone and single-hormone automated insulin delivery systems on nocturnal glucose management among children and adolescents with type 1 diabetes: A pooled analysis. Diabetes Obes Metab 2023; 25:310-313. [PMID: 35999190 DOI: 10.1111/dom.14850] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 08/04/2022] [Accepted: 08/14/2022] [Indexed: 01/15/2023]
Affiliation(s)
- Zekai Wu
- Department of Medicine, Division of Experimental Medicine, McGill University, Montreal, Canada
- Montreal Clinical Research Institute, Montreal, Canada
| | - Maha Lebbar
- Montreal Clinical Research Institute, Montreal, Canada
- Department of Nutrition, Faculty of Medicine, Université de Montréal, Montreal, Canada
| | - Nadine Taleb
- Montreal Clinical Research Institute, Montreal, Canada
- Endocrinology Division, Centre Hospitalier Université de Montréal (CHUM), Montreal, Canada
| | - Laurent Legault
- McGill University Health Centre, Montreal Children's Hospital, Montreal, Canada
| | | | - Rémi Rabasa-Lhoret
- Department of Medicine, Division of Experimental Medicine, McGill University, Montreal, Canada
- Montreal Clinical Research Institute, Montreal, Canada
- Department of Nutrition, Faculty of Medicine, Université de Montréal, Montreal, Canada
- Endocrinology Division, Centre Hospitalier Université de Montréal (CHUM), Montreal, Canada
| |
Collapse
|
20
|
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. 7. Diabetes Technology: Standards of Care in Diabetes-2023. Diabetes Care 2023; 46:S111-S127. [PMID: 36507635 PMCID: PMC9810474 DOI: 10.2337/dc23-s007] [Citation(s) in RCA: 116] [Impact Index Per Article: 116.0] [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.
Collapse
|
21
|
Sherr JL, Heinemann L, Fleming GA, Bergenstal RM, Bruttomesso D, Hanaire H, Holl RW, Petrie JR, Peters AL, Evans M. Automated insulin delivery: benefits, challenges, and recommendations. A Consensus Report of the Joint Diabetes Technology Working Group of the European Association for the Study of Diabetes and the American Diabetes Association. Diabetologia 2023; 66:3-22. [PMID: 36198829 PMCID: PMC9534591 DOI: 10.1007/s00125-022-05744-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 04/07/2022] [Indexed: 01/15/2023]
Abstract
A technological solution for the management of diabetes in people who require intensive insulin therapy has been sought for decades. The last 10 years have seen substantial growth in devices that can be integrated into clinical care. Driven by the availability of reliable systems for continuous glucose monitoring, we have entered an era in which insulin delivery through insulin pumps can be modulated based on sensor glucose data. Over the past few years, regulatory approval of the first automated insulin delivery (AID) systems has been granted, and these systems have been adopted into clinical care. Additionally, a community of people living with type 1 diabetes has created its own systems using a do-it-yourself approach by using products commercialised for independent use. With several AID systems in development, some of which are anticipated to be granted regulatory approval in the near future, the joint Diabetes Technology Working Group of the European Association for the Study of Diabetes and the American Diabetes Association has created this consensus report. We provide a review of the current landscape of AID systems, with a particular focus on their safety. We conclude with a series of recommended targeted actions. This is the fourth in a series of reports issued by this working group. The working group was jointly commissioned by the executives of both organisations to write the first statement on insulin pumps, which was published in 2015. The original authoring group was comprised by three nominated members of the American Diabetes Association and three nominated members of the European Association for the Study of Diabetes. Additional authors have been added to the group to increase diversity and range of expertise. Each organisation has provided a similar internal review process for each manuscript prior to submission for editorial review by the two journals. Harmonisation of editorial and substantial modifications has occurred at both levels. The members of the group have selected the subject of each statement and submitted the selection to both organisations for confirmation.
Collapse
Affiliation(s)
| | | | | | - Richard M Bergenstal
- International Diabetes Center and HealthPartners Institute, Minneapolis, MN, USA
| | - Daniela Bruttomesso
- Unit of Metabolic Diseases, Department of Medicine, University of Padova, Padova, Italy
| | - Hélène Hanaire
- Department of Diabetology, University Hospital of Toulouse, University of Toulouse, Toulouse, France
| | - Reinhard W Holl
- Institute of Epidemiology and Medical Biometry, Central Institute of Biomedical Engineering (ZIBMT), University of Ulm, Ulm, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - John R Petrie
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Anne L Peters
- Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Mark Evans
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
| |
Collapse
|
22
|
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).
Collapse
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
| |
Collapse
|
23
|
Sherr JL, Heinemann L, Fleming GA, Bergenstal RM, Bruttomesso D, Hanaire H, Holl RW, Petrie JR, Peters AL, Evans M. Automated Insulin Delivery: Benefits, Challenges, and Recommendations. A Consensus Report of the Joint Diabetes Technology Working Group of the European Association for the Study of Diabetes and the American Diabetes Association. Diabetes Care 2022; 45:3058-3074. [PMID: 36202061 DOI: 10.2337/dci22-0018] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 04/07/2022] [Indexed: 02/03/2023]
Abstract
A technological solution for the management of diabetes in people who require intensive insulin therapy has been sought for decades. The last 10 years have seen substantial growth in devices that can be integrated into clinical care. Driven by the availability of reliable systems for continuous glucose monitoring, we have entered an era in which insulin delivery through insulin pumps can be modulated based on sensor glucose data. Over the past few years, regulatory approval of the first automated insulin delivery (AID) systems has been granted, and these systems have been adopted into clinical care. Additionally, a community of people living with type 1 diabetes has created its own systems using a do-it-yourself approach by using products commercialized for independent use. With several AID systems in development, some of which are anticipated to be granted regulatory approval in the near future, the joint Diabetes Technology Working Group of the European Association for the Study of Diabetes and the American Diabetes Association has created this consensus report. We provide a review of the current landscape of AID systems, with a particular focus on their safety. We conclude with a series of recommended targeted actions. This is the fourth in a series of reports issued by this working group. The working group was jointly commissioned by the executives of both organizations to write the first statement on insulin pumps, which was published in 2015. The original authoring group was comprised by three nominated members of the American Diabetes Association and three nominated members of the European Association for the Study of Diabetes. Additional authors have been added to the group to increase diversity and range of expertise. Each organization has provided a similar internal review process for each manuscript prior to submission for editorial review by the two journals. Harmonization of editorial and substantial modifications has occurred at both levels. The members of the group have selected the subject of each statement and submitted the selection to both organizations for confirmation.
Collapse
Affiliation(s)
| | | | | | | | - Daniela Bruttomesso
- Unit of Metabolic Diseases, Department of Medicine, University of Padova, Padova, Italy
| | - Hélène Hanaire
- Department of Diabetology, University Hospital of Toulouse, University of Toulouse, Toulouse, France
| | - Reinhard W Holl
- Institute of Epidemiology and Medical Biometry, Central Institute of Biomedical Engineering (ZIBMT), University of Ulm, Ulm, Germany.,German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - John R Petrie
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, U.K
| | - Anne L Peters
- Keck School of Medicine of the University of Southern California, Los Angeles, CA
| | - Mark Evans
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, U.K
| |
Collapse
|
24
|
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
| |
Collapse
|
25
|
Rankin D, Kimbell B, Hovorka R, Lawton J. Adolescents' and their parents' experiences of using a closed-loop system to manage type 1 diabetes in everyday life: qualitative study. Chronic Illn 2022; 18:742-756. [PMID: 33472409 PMCID: PMC9643806 DOI: 10.1177/1742395320985924] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVES Type 1 diabetes can have life-shattering consequences for adolescents and parents. A closed-loop system is a cutting-edge technology which automatically regulates glucose to reduce the burden of diabetes management. We explored adolescents' and parents' experiences of using this technology to understand how it affects their biographies and everyday lives. METHODS In-depth interviews with 18 adolescents newly diagnosed with type 1 diabetes and 21 parents after ≥12 months experience using closed-loop technology. Data were analysed thematically. RESULTS Participants reported very few disruptions to their lives when using a closed-loop. Reports of family conflict were minimal as the closed-loop enabled dietary flexibility and glucose levels to be checked effortlessly. Adolescents described doing 'normal' activities without worrying about high/low glucose, and parents reported allowing them to do so unsupervised because the closed-loop would regulate their glucose and keep them safe. Some adolescents expressed concerns about the visibility of components and, to avoid stigma, described curtailing activities such as swimming. Participants described how the closed-loop enabled adolescents to be in control of, or create distance from, diabetes. DISCUSSION The closed-loop has life-enhancing consequences for both adolescents and parents and helps to reduce the biographical disruption of type 1 diabetes in this age group.
Collapse
Affiliation(s)
- D Rankin
- Usher Institute, University of Edinburgh, Edinburgh, UK
| | - B Kimbell
- Usher Institute, University of Edinburgh, Edinburgh, UK
| | - R Hovorka
- Wellcome Trust - Medical Research Institute of Metabolic Science, University of Cambridge, Cambridge, UK.,Department of Paediatrics, University of Cambridge, Cambridge, UK
| | - J Lawton
- Usher Institute, University of Edinburgh, Edinburgh, UK
| |
Collapse
|
26
|
Kovatchev BP, Singh H, Mueller L, Gonder-Frederick LA. Biobehavioral Changes Following Transition to Automated Insulin Delivery: A Large Real-life Database Analysis. Diabetes Care 2022; 45:2636-2643. [PMID: 36126177 PMCID: PMC9862393 DOI: 10.2337/dc22-1217] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 08/22/2022] [Indexed: 02/05/2023]
Abstract
OBJECTIVE To document glycemic and user-initiated bolus changes following transition from predictive low glucose suspend (PLGS) system to automated insulin delivery (AID) system during real-life use. RESEARCH DESIGN AND METHODS We conducted analysis of 2,329,166 days (6,381 patient-years) of continuous glucose monitoring (CGM) and insulin therapy data for 19,354 individuals with type 1 Diabetes, during 1-month PLGS use (Basal-IQ technology) followed by 3-month AID use (Control-IQ technology). Baseline characteristics are as follows: 55.4% female, age (median/quartiles/range) 39/19-58/1-92 years, mean ± SD glucose management indicator (GMI) 7.5 ± 0.8. Primary outcome was time in target range (TIR) (70-180 mg/dL). Secondary outcomes included CGM-based glycemic control metrics and frequency of user-initiated boluses. RESULTS Compared with PLGS, AID increased TIR on average from 58.4 to 70.5%. GMI and percent time above and below target range improved as well: from 7.5 to 7.1, 39.9 to 28.1%, and 1.66 to 1.46%, respectively; all P values <0.0001. Stratification of outcomes by age and baseline GMI revealed clinically significant differences. Glycemic improvements were most pronounced in those <18 years old (TIR improvement 14.0 percentage points) and those with baseline GMI >8.0 (TIR improvement 13.2 percentage points). User-initiated correction boluses decreased from 2.7 to 1.8 per day, while user-initiated meal boluses remained stable at 3.6 to 3.8 per day. CONCLUSIONS Observed in real life of >19,000 individuals with type 1 diabetes, transitions from PLGS to AID resulted in improvement of all glycemic parameters, equivalent to improvements observed in randomized clinical trials, and reduced user-initiated boluses. However, glycemic and behavioral changes with AID use may differ greatly across different demographic and clinical groups.
Collapse
Affiliation(s)
- Boris P Kovatchev
- University of Virginia Center for Diabetes Technology, Charlottesville, VA
| | | | | | | |
Collapse
|
27
|
Feig DS. Epidemiology and Therapeutic Strategies for Women With Preexisting Diabetes in Pregnancy: How Far Have We Come? The 2021 Norbert Freinkel Award Lecture. Diabetes Care 2022; 45:2484-2491. [PMID: 37579297 DOI: 10.2337/dci21-0027] [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: 08/16/2023]
Abstract
The field of diabetes in pregnancy has witnessed tremendous changes over the past 30 years, with an explosive growth in case numbers along with new and exciting opportunities to affect outcomes. Type 1 diabetes in pregnancy has increased by 40%, but type 2 diabetes in pregnancy, rarely seen 30 years ago, has more than doubled and, in some cases, tripled in prevalence. Compared with women with type 2 diabetes, women with type 1 diabetes have higher HbA1c, more large-for-gestational-age infants, and more preterm births. Women with type 2 diabetes have more chronic hypertension, more socioeconomic deprivation, and higher rates of perinatal mortality. Large randomized trials in women with diabetes in pregnancy have helped us understand the effectiveness of new technologies (i.e., continuous glucose monitoring) in women with type 1 diabetes, and the addition of metformin to insulin in women with type 2 diabetes, in improving pregnancy outcomes. Future endeavors, including artificial pancreas systems in women with type 1 diabetes and the use of continuous glucose monitoring, a better understanding of nutrition during pregnancy, and approaches to improve preconception and pregnancy self-care in women with type 2 diabetes, may lead to further improved outcomes.
Collapse
Affiliation(s)
- Denice S Feig
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Toronto, Ontario, Canada
- Sinai Health System, Mount Sinai Hospital, Toronto, Canada
| |
Collapse
|
28
|
Dietrich JW, Dasgupta R, Anoop S, Jebasingh F, Kurian ME, Inbakumari M, Boehm BO, Thomas N. SPINA Carb: a simple mathematical model supporting fast in-vivo estimation of insulin sensitivity and beta cell function. Sci Rep 2022; 12:17659. [PMID: 36271244 PMCID: PMC9587026 DOI: 10.1038/s41598-022-22531-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Accepted: 10/17/2022] [Indexed: 01/18/2023] Open
Abstract
Modelling insulin-glucose homeostasis may provide novel functional insights. In particular, simple models are clinically useful if they yield diagnostic methods. Examples include the homeostasis model assessment (HOMA) and the quantitative insulin sensitivity check index (QUICKI). However, limitations of these approaches have been criticised. Moreover, recent advances in physiological and biochemical research prompt further refinement in this area. We have developed a nonlinear model based on fundamental physiological motifs, including saturation kinetics, non-competitive inhibition, and pharmacokinetics. This model explains the evolution of insulin and glucose concentrations from perturbation to steady-state. Additionally, it lays the foundation of a structure parameter inference approach (SPINA), providing novel biomarkers of carbohydrate homeostasis, namely the secretory capacity of beta-cells (SPINA-GBeta) and insulin receptor gain (SPINA-GR). These markers correlate with central parameters of glucose metabolism, including average glucose infusion rate in hyperinsulinemic glucose clamp studies, response to oral glucose tolerance testing and HbA1c. Moreover, they mirror multiple measures of body composition. Compared to normal controls, SPINA-GR is significantly reduced in subjects with diabetes and prediabetes. The new model explains important physiological phenomena of insulin-glucose homeostasis. Clinical validation suggests that it may provide an efficient biomarker panel for screening purposes and clinical research.
Collapse
Affiliation(s)
- Johannes W. Dietrich
- grid.5570.70000 0004 0490 981XDiabetes, Endocrinology and Metabolism Section, Department of Internal Medicine I, St. Josef Hospital, Ruhr University Bochum, NRW, Gudrunstr. 56, 44791 Bochum, Germany ,Diabetes Centre Bochum-Hattingen, St. Elisabeth-Hospital Blankenstein, Im Vogelsang 5-11, 45527 Hattingen, NRW Germany ,grid.5570.70000 0004 0490 981XCentre for Rare Endocrine Diseases, Ruhr Centre for Rare Diseases (CeSER), Ruhr University Bochum and Witten/Herdecke University, Alexandrinenstr. 5, 44791 Bochum, NRW Germany ,Centre for Diabetes Technology, Catholic Hospitals Bochum, Gudrunstr. 56, 44791 Bochum, NRW, Germany
| | - Riddhi Dasgupta
- grid.11586.3b0000 0004 1767 8969Department of Endocrinology, Diabetes and Metabolism, Christian Medical College, Vellore, 632004 India
| | - Shajith Anoop
- grid.11586.3b0000 0004 1767 8969Department of Endocrinology, Diabetes and Metabolism, Christian Medical College, Vellore, 632004 India
| | - Felix Jebasingh
- grid.11586.3b0000 0004 1767 8969Department of Endocrinology, Diabetes and Metabolism, Christian Medical College, Vellore, 632004 India
| | - Mathews E. Kurian
- grid.11586.3b0000 0004 1767 8969Department of Endocrinology, Diabetes and Metabolism, Christian Medical College, Vellore, 632004 India
| | - Mercy Inbakumari
- grid.11586.3b0000 0004 1767 8969Department of Endocrinology, Diabetes and Metabolism, Christian Medical College, Vellore, 632004 India
| | - Bernhard O. Boehm
- grid.59025.3b0000 0001 2224 0361Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, 11 Mandalay Road, Singapore, 308232 Singapore ,grid.6582.90000 0004 1936 9748Department of Internal Medicine I, Ulm University Medical Centre, Ulm University, 89070 Ulm, Germany ,grid.240988.f0000 0001 0298 8161Department of Endocrinology, Tan Tock Seng Hospital, Singapore, Singapore
| | - Nihal Thomas
- grid.11586.3b0000 0004 1767 8969Department of Endocrinology, Diabetes and Metabolism, Christian Medical College, Vellore, 632004 India
| |
Collapse
|
29
|
Joubert M, Briant AR, Kessler L, Fall-Mostaine F, Dubois S, Guerci B, Schoumacker-Ley L, Reznik Y, Parienti JJ. Sensor-Augmented Insulin Pump with Predictive Low-Glucose Suspend (PLGS): Determining Optimal Settings of Pump and Sensor in a Multicenter Cohort of Patients with Type 1 Diabetes. Diabetes Ther 2022; 13:1645-1657. [PMID: 35913656 PMCID: PMC9399327 DOI: 10.1007/s13300-022-01302-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 07/14/2022] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION The use of predictive low-glucose suspend (PLGS) sensor-augmented pumps has been shown to lead to a significant reduction in hypoglycemic episodes in patients with type 1 diabetes (T1D), but their effects on hyperglycemia exposure are heterogeneous. The aim of this study was to determine the settings of the Medtronic 640G system to obtain the optimal balance between occurrence of both hypoglycemia and hyperglycemia. METHODS The hypo- and hyperglycemia area under the curve (AUC), as well as system settings [hypoglycemic threshold, mean insulin total daily dose (TDD), mean basal insulin percentage, and mean daily duration of PLGS] were collected between 2 and 12 times during 1 year in patients from four university hospital centers. Univariate/multivariate analyses and receiver operating characteristics (ROC) curves were performed to determine factors associated with hyper- and hypoglycemia AUC. RESULTS A total of 864 observations were analyzed from 110 patients with T1D. Two preselected settings predictive of low hyperglycemia AUC were a basal insulin percentage < 52.0% [sensitivity (Se) = 0.66 and specificity (Sp) = 0.53] and a PLGS duration > 157.5 min/day (Se = 0.47 and Sp = 0.73). The preselected setting predictive of a low hypoglycemia AUC was a PLGS duration ≤ 174.4 min (Se = 0.83 and Sp = 0.51). Between-visit variation of PLGS and TDD was positively correlated (r = 0.61; p < 0.0001). CONCLUSION The most important Medtronic 640G setting was the mean daily PLGS duration, where a value between 157.5 and 174.4 min/day was associated with the best reduction in both hypo- and hyperglycemia AUC. In this study, we showed that PLGS duration could be indirectly modified through total daily insulin dose adaptation. TRIAL REGISTRATION This study is registered in clinicaltrials.gov (NCT03047486).
Collapse
Affiliation(s)
- Michael Joubert
- Diabetes Care Unit, Caen University Hospital, 14033, Caen cedex 09, France.
- UNICAEN, University of Caen, Caen, France.
| | - Anaïs R Briant
- Biostatistics Unit, Caen University Hospital, Caen, France
| | - Laurence Kessler
- Diabetes Care Unit, Strasbourg University Hospital, Strasbourg, France
| | | | - Severine Dubois
- Diabetes Care Unit, Angers University Hospital, Angers, France
| | - Bruno Guerci
- Diabetes Care Unit, Nancy University Hospital, Nancy, France
| | | | - Yves Reznik
- Diabetes Care Unit, Caen University Hospital, 14033, Caen cedex 09, France
- UNICAEN, University of Caen, Caen, France
| | - Jean-Jacques Parienti
- UNICAEN, University of Caen, Caen, France
- Biostatistics Unit, Caen University Hospital, Caen, France
- INSERM UMR 1311, UNICAEN, Caen, France
| |
Collapse
|
30
|
Bombaci B, Passanisi S, Alibrandi A, D’Arrigo G, Patroniti S, Averna S, Salzano G, Lombardo F. One-Year Real-World Study on Comparison among Different Continuous Subcutaneous Insulin Infusion Devices for the Management of Pediatric Patients with Type 1 Diabetes: The Supremacy of Hybrid Closed-Loop Systems. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph191610293. [PMID: 36011925 PMCID: PMC9408433 DOI: 10.3390/ijerph191610293] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 08/16/2022] [Accepted: 08/17/2022] [Indexed: 05/30/2023]
Abstract
Since their advent in daily clinical practice, continuous subcutaneous insulin infusion (CSII) systems have been increasingly improved, leading to a high percentage of both adult and pediatric patients with diabetes now using insulin pumps. Different types of CSII systems are currently available, which are characterized by different settings and technical features. This longitudinal observational study aims to evaluate real-word glycemic outcomes in children and adolescents with type 1 diabetes using three different CSII devices: hybrid closed-loop (HCL) systems, predictive low glucose (PLGS) systems, and non-automated insulin pumps. The secondary objective was to identify clinical variables that may significantly influence the achievement of therapeutic goals in our study cohort. One-hundred-and-one patients on CSII therapy attending our pediatric diabetes center were enrolled. When compared with the non-automated group, patients using HCL systems showed higher levels of time in target glucose range (p = 0.003) and lower glucose variability (p = 0.008). Similarly, we found significantly better glucose metrics in HCL users in comparison to PLGS patients (time in range p = 0.008; coefficient of variation p = 0.009; time above 250 mg/dL p = 0.007). Multiple linear regression models showed that HCL systems (time in range p < 0.001) and high daily percentage of glycemic sensor use (time in range p = 0.031) are predictors for good glycemic control. The introduction and increasing availability of novel technologies for diabetes represent a promising strategy to improve glycemic control and quality of life in pediatric patients with type 1 diabetes. Our real-world data confirm the superiority of HCL systems in terms of improvement of time spent in the target glucose range, prevention of hypoglycemia, and reduction of glycemic variability.
Collapse
Affiliation(s)
- Bruno Bombaci
- Department of Human Pathology in Adult and Developmental Age “Gaetano Barresi”, University of Messina, Via Consolare Valeria 1, 98124 Messina, Italy
| | - Stefano Passanisi
- Department of Human Pathology in Adult and Developmental Age “Gaetano Barresi”, University of Messina, Via Consolare Valeria 1, 98124 Messina, Italy
| | - Angela Alibrandi
- Unit of Statistical and Mathematical Sciences, Department of Economics, University of Messina, 98124 Messina, Italy
| | - Giulia D’Arrigo
- Department of Human Pathology in Adult and Developmental Age “Gaetano Barresi”, University of Messina, Via Consolare Valeria 1, 98124 Messina, Italy
| | - Serena Patroniti
- Department of Human Pathology in Adult and Developmental Age “Gaetano Barresi”, University of Messina, Via Consolare Valeria 1, 98124 Messina, Italy
| | - Simona Averna
- Department of Human Pathology in Adult and Developmental Age “Gaetano Barresi”, University of Messina, Via Consolare Valeria 1, 98124 Messina, Italy
| | - Giuseppina Salzano
- Department of Human Pathology in Adult and Developmental Age “Gaetano Barresi”, University of Messina, Via Consolare Valeria 1, 98124 Messina, Italy
| | - Fortunato Lombardo
- Department of Human Pathology in Adult and Developmental Age “Gaetano Barresi”, University of Messina, Via Consolare Valeria 1, 98124 Messina, Italy
| |
Collapse
|
31
|
Soni A, Wright N, Agwu JC, Drew J, Kershaw M, Moudiotis C, Regan F, Williams E, Timmis A, Ng SM. Fifteen-minute consultation: Practical use of continuous glucose monitoring. Arch Dis Child Educ Pract Ed 2022; 107:188-193. [PMID: 33963071 PMCID: PMC9125373 DOI: 10.1136/archdischild-2020-321190] [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: 01/11/2021] [Revised: 04/01/2021] [Accepted: 04/04/2021] [Indexed: 11/04/2022]
Abstract
Type 1 diabetes is a self-managed condition. Regular monitoring of blood glucose (BG) levels has been the cornerstone of diabetes management. Finger prick BG testing traditionally has been the standard method employed. More recently, rapid advancements in the development of continuous glucose monitoring devices have led to increased use of technology to help children and young people with diabetes manage their condition. These devices have the potential to improve diabetes control and reduce hypoglycaemia especially if used in conjunction with a pump to automate insulin delivery. This paper aims to provide an update on main CGM devices available and practical considerations for doctors if they come across a child with diabetes who is using one of these devices.
Collapse
Affiliation(s)
- Astha Soni
- Paediatrics, Sheffield Children's Hospital, Sheffield, UK
| | - Neil Wright
- Paediatric Endocrinology & Diabetes, Sheffield Children's Hospital, Sheffield, UK
| | - Juliana Chizo Agwu
- Paediatrics, Sandwell and West Birmingham NHS Trust, West Bromwich, UK.,Institute of Clinical Sciences, College of Medicine and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Josephine Drew
- Paediatrics, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Melanie Kershaw
- Endocrinology and diabetes, Birmingham Children's Hospital, NHS Foundation Trust, Birmingham, UK
| | | | - Fiona Regan
- Paediatrics, Wexham Park Hospital, Slough, UK
| | - Eleri Williams
- Paediatrics, Hampshire Hospitals NHS Foundation Trust, Winchester, Hampshire, UK
| | - Alison Timmis
- Paediatrics, Countess of Chester Hospital, NHS Foundation Trust, Chester, Cheshire West and Chester, UK
| | - Sze May Ng
- Paediatric Department, Southport and Ormskirk NHS Trust, Ormskirk, UK.,Department of Women's and Children's Health, University of Liverpool, Liverpool, UK
| |
Collapse
|
32
|
The effect of glucagon on local subcutaneous blood flow in non-diabetic volunteers; a proof-of-concept study. Eur J Pharmacol 2022; 926:175045. [DOI: 10.1016/j.ejphar.2022.175045] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 05/04/2022] [Accepted: 05/18/2022] [Indexed: 01/26/2023]
|
33
|
Nimri R, Phillip M, Kovatchev B. Decision Support Systems and Closed-Loop. Diabetes Technol Ther 2022; 24:S58-S75. [PMID: 35475696 DOI: 10.1089/dia.2022.2504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Revital Nimri
- Diabetes Technology Center, Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Moshe Phillip
- Diabetes Technology Center, Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Boris Kovatchev
- University of Virginia Center for Diabetes Technology, University of Virginia School of Medicine, Charlottesville, VA
| |
Collapse
|
34
|
Kariyawasam D, Morin C, Casteels K, Le Tallec C, Sfez A, Godot C, Huneker E, Garrec N, Benhamou PY, Polak M, Charpentier G, Franc S, Beltrand J. Hybrid closed-loop insulin delivery versus sensor-augmented pump therapy in children aged 6–12 years: a randomised, controlled, cross-over, non-inferiority trial. Lancet Digit Health 2022; 4:e158-e168. [DOI: 10.1016/s2589-7500(21)00271-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 10/22/2021] [Accepted: 11/23/2021] [Indexed: 12/14/2022]
|
35
|
Renard E, Tubiana-Rufi N, Bonnemaison E, Coutant R, Dalla-Vale F, Bismuth E, Faure N, Bouhours-Nouet N, Farret A, Storey C, Donzeau A, Poidvin A, Amsellem-Jager J, Place J, Breton MD. Outcomes of hybrid closed-loop insulin delivery activated 24/7 versus evening and night in free-living prepubertal children with type 1 diabetes: A multicentre, randomized clinical trial. Diabetes Obes Metab 2022; 24:511-521. [PMID: 34816597 DOI: 10.1111/dom.14605] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 11/01/2021] [Accepted: 11/14/2021] [Indexed: 11/29/2022]
Abstract
AIM To assess the safety and efficacy of hybrid closed-loop (HCL) insulin delivery 24/7 versus only evening and night (E/N), and on extended 24/7 use, in free-living children with type 1 diabetes. MATERIALS AND METHODS Prepubertal children (n = 122; 49 females/73 males; age, 8.6 ± 1.6 years; diabetes duration, 5.2 ± 2.3 years; insulin pump use, 4.6 ± 2.5 years; HbA1c 7.7% ± 0.7%/61 ± 5 mmol/mol) from four centres were randomized for 24/7 versus E/N activation of the Tandem Control-IQ system for 18 weeks. Afterwards, all children used the activated system 24/7 for 18 more weeks. The primary outcome was the percentage of time spent in the 70-180 mg/dL glucose range (TIR). RESULTS HCL was active 94.1% and 51.1% of the time in the 24/7 and E/N modes, respectively. TIR from baseline increased more in the 24/7 versus the E/N mode (52.9% ± 9.5% to 67.3% ± 5.6% [+14.4%, 95% CI 12.4%-16.7%] vs. 55.1% ± 10.8% to 64.7% ± 7.0% [+9.6%, 95% CI 7.4%-11.6%]; P = .001). Mean percentage time below range was similarly reduced, from 4.2% and 4.6% to 2.7%, and the mean percentage time above range decreased more in the 24/7 mode (41.9% to 30.0% [-11.9%, 95% CI 9.7%-14.6%] vs. 39.8% to 32.6% [-7.2%, 95% CI 5.0%-9.9%]; P = .007). TIR increased through the whole range of baseline levels and always more with 24/7 use. The results were maintained during the extension phase in those initially on 24/7 use and improved in those with initial E/N use up to those with 24/7 use. Neither ketoacidosis nor severe hypoglycaemia occurred. CONCLUSIONS The current study shows the safety and efficacy of the Tandem Control-IQ system in free-living children with type 1 diabetes for both E/N and 24/7 use; 24/7 use shows better outcomes, sustained for up to 36 weeks with no safety issues.
Collapse
Affiliation(s)
- Eric Renard
- Department of Endocrinology, Diabetes, Nutrition, Montpellier University Hospital, Montpellier, France
- INSERM Clinical Investigation Centre 1411, Montpellier, France
- Institute of Functional Genomics, University of Montpellier, CNRS, INSERM, Montpellier, France
| | - Nadia Tubiana-Rufi
- Department of Pediatric Endocrinology and Diabetology, Robert Debré University Hospital, University of Paris, Paris, France
| | | | - Régis Coutant
- Department of Pediatric Endocrinology and Diabetology, Angers University Hospital, Angers, France
| | - Fabienne Dalla-Vale
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia, USA
| | - Elise Bismuth
- Department of Pediatric Endocrinology and Diabetology, Robert Debré University Hospital, University of Paris, Paris, France
| | - Nathalie Faure
- Department of Pediatrics, Tours University Hospital, Tours, France
| | - Natacha Bouhours-Nouet
- Department of Pediatric Endocrinology and Diabetology, Angers University Hospital, Angers, France
| | - Anne Farret
- Department of Endocrinology, Diabetes, Nutrition, Montpellier University Hospital, Montpellier, France
- Institute of Functional Genomics, University of Montpellier, CNRS, INSERM, Montpellier, France
| | - Caroline Storey
- Department of Pediatric Endocrinology and Diabetology, Robert Debré University Hospital, University of Paris, Paris, France
| | - Aurélie Donzeau
- Department of Pediatric Endocrinology and Diabetology, Angers University Hospital, Angers, France
| | - Amélie Poidvin
- Department of Pediatric Endocrinology and Diabetology, Robert Debré University Hospital, University of Paris, Paris, France
| | - Jessica Amsellem-Jager
- Department of Pediatric Endocrinology and Diabetology, Angers University Hospital, Angers, France
| | - Jérôme Place
- Institute of Functional Genomics, University of Montpellier, CNRS, INSERM, Montpellier, France
| | - Marc D Breton
- Department of Pediatrics, Montpellier University Hospital, Montpellier, France
| |
Collapse
|
36
|
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.
Collapse
|
37
|
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.
Collapse
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
| |
Collapse
|
38
|
Piemonti L. Felix dies natalis, insulin… ceterum autem censeo "beta is better". Acta Diabetol 2021; 58:1287-1306. [PMID: 34027619 DOI: 10.1007/s00592-021-01737-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 05/06/2021] [Indexed: 12/12/2022]
Abstract
One hundred years after its discovery, insulin remains the life-saving therapy for many patients with diabetes. It has been a 100-years-old success story thanks to the fact that insulin therapy has continuously integrated the knowledge developed over a century. In 1982, insulin becomes the first therapeutic protein to be produced using recombinant DNA technology. The first "mini" insulin pump and the first insulin pen become available in 1983 and 1985, respectively. In 1996, the first generation of insulin analogues were produced. In 1999, the first continuous glucose-monitoring device for reading interstitial glucose was approved by the FDA. In 2010s, the ultra-long action insulins were introduced. An equally exciting story developed in parallel. In 1966. Kelly et al. performed the first clinical pancreas transplant at the University of Minnesota, and now it is a well-established clinical option. First successful islet transplantations in humans were obtained in the late 1980s and 1990s. Their ability to consistently re-establish the endogenous insulin secretion was obtained in 2000s. More recently, the possibility to generate large numbers of functional human β cells from pluripotent stem cells was demonstrated, and the first clinical trial using stem cell-derived insulin producing cell was started in 2014. This year, the discovery of this life-saving hormone turns 100 years. This provides a unique opportunity not only to celebrate this extraordinary success story, but also to reflect on the limits of insulin therapy and renew the commitment of the scientific community to an insulin free world for our patients.
Collapse
Affiliation(s)
- Lorenzo Piemonti
- San Raffaele Diabetes Research Institute, San Raffaele Scientific Institute, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132, Milan, Italy.
- Università Vita-Salute San Raffaele, Milan, Italy.
| |
Collapse
|
39
|
Abstract
Advances in glucose monitoring and insulin delivery technologies have led to the development of innovative self-management tools, such as continuous glucose monitoring, automated insulin delivery systems, and smart connected insulin pens. Although the clinical advantages of today's emerging diabetes technologies are well documented, the cost of integrating these tools into clinical practice must be considered to sustain the financial viability of both public and private insurers. Most clinicians are unfamiliar with the process the commercial insurers follow when making these decisions. This article reviews the key factors the insurers consider when determining eligibility criteria.
Collapse
Affiliation(s)
- Tim Nolan
- TEN Healthcare Strategies, Newtown, Pennsylvania, USA
| | - Marie Frazzitta
- Abbott Diabetes Care, Department of Medical Affairs, Alameda, California, USA
| |
Collapse
|
40
|
Abstract
Background: The t:slim X2™ insulin pump with Control-IQ® technology from Tandem Diabetes Care is an advanced hybrid closed-loop system that was first commercialized in the United States in January 2020. Longitudinal glycemic outcomes associated with real-world use of this system have yet to be reported. Methods: A retrospective analysis of Control-IQ technology users who uploaded data to Tandem's t:connect® web application as of February 11, 2021 was performed. Users age ≥6 years, with >2 weeks of continuous glucose monitoring (CGM) data pre- and >12 months post-Control-IQ technology initiation were included in the analysis. Results: In total 9451 users met the inclusion criteria, 83% had type 1 diabetes, and the rest had type 2 or other forms of diabetes. The mean age was 42.6 ± 20.8 years, and 52% were female. Median percent time in automation was 94.2% [interquartile range, IQR: 90.1%-96.4%] for the entire 12-month duration of observation, with no significant changes over time. Of these users, 9010 (96.8%) had ≥75% of their CGM data available, that is, sufficient data for reliable computation of CGM-based glycemic outcomes. At baseline, median percent time in range (70-180 mg/dL) was 63.6 (IQR: 49.9%-75.6%) and increased to 73.6% (IQR: 64.4%-81.8%) for the 12 months of Control-IQ technology use with no significant changes over time. Median percent time <70 mg/dL remained consistent at ∼1% (IQR: 0.5%-1.9%). Conclusion: In this real-world use analysis, Control-IQ technology retained, and to some extent exceeded, the results obtained in randomized controlled trials, showing glycemic improvements in a broad age range of people with different types of diabetes.
Collapse
Affiliation(s)
- Marc D. Breton
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia, USA
- Address correspondence to: Marc Breton, PhD, Center for Diabetes Technology, University of Virginia, 560 Ray C Hunt Drive, Charlottesville, VA 22903, USA
| | - Boris P. Kovatchev
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia, USA
| |
Collapse
|
41
|
Hartnell S, Fuchs J, Boughton CK, Hovorka R. Closed‐loop technology: a practical guide. PRACTICAL DIABETES 2021. [DOI: 10.1002/pdi.2350] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Sara Hartnell
- Cambridge University Hospitals NHS Foundation Trust, Wolfson Diabetes and Endocrine Clinic Cambridge UK
| | - Julia Fuchs
- Wellcome Trust‐MRC Institute of Metabolic Science, Addenbrooke's Hospital Cambridge UK
- Department of Paediatrics University of Cambridge Cambridge UK
| | - Charlotte K Boughton
- Cambridge University Hospitals NHS Foundation Trust, Wolfson Diabetes and Endocrine Clinic Cambridge UK
- Wellcome Trust‐MRC Institute of Metabolic Science, Addenbrooke's Hospital Cambridge UK
| | - Roman Hovorka
- Wellcome Trust‐MRC Institute of Metabolic Science, Addenbrooke's Hospital Cambridge UK
- Department of Paediatrics University of Cambridge Cambridge UK
| |
Collapse
|
42
|
Ferrito L, Passanisi S, Bonfanti R, Cherubini V, Minuto N, Schiaffini R, Scaramuzza A. Efficacy of advanced hybrid closed loop systems for the management of type 1 diabetes in children. Minerva Pediatr (Torino) 2021; 73:474-485. [PMID: 34309344 DOI: 10.23736/s2724-5276.21.06531-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Over the last years significant advances have been achieved in the development of technologies for diabetes management. Continuous subcutaneous insulin infusion (CSII), continuous glucose monitoring (CGM), predictive low glucose management (PLGM), hybrid closed loop (HCL) and advanced hybrid closed loop (AHCL) systems allow better diabetes management, thus reducing the burden of the disease and the risk of chronic complications. This review summarizes the main characteristics of the currently available HCL and AHCL systems and their primary effects in children and adolescents with type 1 diabetes (T1D). The findings of trials assessing the glucose control (time in range, HbA1c values, hypoglycemic events), the health-related quality of life and the existing limits of the use of these technologies are reported. The most recent data clearly confirm the ability of the HCL and AHCL insulin delivery systems to safely achieve a significant improvement of glucose control and quality of life in the pediatric population with T1D. Further studies are underway to overcame current barriers and future improvements in the usability of these technologies are awaited to facilitate their use in the routine clinical practice. The HCL and AHCL algorithms are the key features of today's insulin delivery systems that mark a crucial step towards fully automated closed loop systems.
Collapse
Affiliation(s)
- Lucia Ferrito
- Division of Pediatrics and Neonatology, Senigallia Hospital, Senigallia, Ancona, Italy
| | - Stefano Passanisi
- Department of Human Pathology in Adult and Developmental Age, University of Messina, Messina, Italy
| | - Riccardo Bonfanti
- Diabetes Research Institute, Department of Pediatrics, IRCCS San Raffaele Scientific Institute, Milano, Italy
| | - Valentino Cherubini
- Department of Women's and Children's Health, G. Salesi Hospital, Ancona, Italy
| | | | | | | |
Collapse
|
43
|
Luo X, Pan J, Lu H, Li X. Parents' experiences on the combined use of continuous subcutaneous insulin infusion and real-time continuous glucose monitoring to manage Type 1 diabetes in their children: A systematic review and meta-synthesis of qualitative studies. Nurs Open 2021; 9:2532-2551. [PMID: 34191399 DOI: 10.1002/nop2.971] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Revised: 04/13/2021] [Accepted: 06/02/2021] [Indexed: 11/06/2022] Open
Abstract
AIM To explore the experiences and perspectives of the combined use of continuous subcutaneous insulin infusion (CSII) and continuous glucose monitoring (CGM) on parents of children with TIDM on their daily life. DESIGN A systematic review and meta-synthesis of qualitative studies. METHODS A systematic literature search of English studies published in seven databases between 2006-2021: CINAHL, MEDLINE, EMBASE, PubMed, PsycINFO, Cochrane Library and Scopus. All included studies underwent the process of thematic interpretive integration by the author team. RESULTS Nine studies met the inclusion criteria. Six derived themes were generated which contained interacting with devices, interacting with glycaemic information, improving quality of life for parents of children with T1DM, burden of living with CSII therapy and CGM, impact on the parent-child relationship, requirement and expectation to advanced diabetes technology. Advanced diabetes technologies affect physical, emotional and relationship between the daily life of parents and their children with T1DM.
Collapse
Affiliation(s)
- Xiuwen Luo
- Birmingham City University, Birmingham, UK.,Foshan University, Foshan, China.,Endocrinology Department, The Second People's Hospital of Foshan, Foshan, China
| | - Jie Pan
- Faculty of Nursing, Foshan University, Foshan, China
| | - Haiyun Lu
- Nursing Department, The Second People's Hospital of Foshan, Foshan, China
| | - Xiaoxiao Li
- Jinan University, Guangzhou, China.,Teaching and Research Department, The Second People's Hospital of Foshan, Foshan, China
| |
Collapse
|
44
|
Aiello EM, Deshpande S, Ozaslan B, Wolkowicz KL, Dassau E, Pinsker JE, Doyle FJ. Review of Automated Insulin Delivery Systems for Individuals with Type 1 Diabetes: Tailored Solutions for Subpopulations. CURRENT OPINION IN BIOMEDICAL ENGINEERING 2021; 19. [PMID: 34368518 DOI: 10.1016/j.cobme.2021.100312] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Automated insulin delivery (AID) systems have proven safe and effective in improving glycemic outcomes in individuals with type 1 diabetes (T1D). Clinical evaluation of this technology has progressed to large randomized, controlled outpatient studies and recent commercial approval of AID systems for children and adults. However, several challenges remain in improving these systems for different subpopulations (e.g., young children, athletes, pregnant women, seniors and those with hypoglycemia unawareness). In this review, we highlight the requirements and challenges in AID design for selected subpopulations, and discuss current advances from recent clinical studies.
Collapse
Affiliation(s)
- Eleonora M Aiello
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, 150 Western Avenue, Boston, Massachusetts 02134, USA.,Sansum Diabetes Research Institute, Santa Barbara, CA
| | - Sunil Deshpande
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, 150 Western Avenue, Boston, Massachusetts 02134, USA.,Sansum Diabetes Research Institute, Santa Barbara, CA
| | - Basak Ozaslan
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, 150 Western Avenue, Boston, Massachusetts 02134, USA.,Sansum Diabetes Research Institute, Santa Barbara, CA
| | - Kelilah L Wolkowicz
- Department of Mechanical Engineering, University of Massachusetts Lowell, 1 University Avenue, Lowell, MA 01854, USA
| | - Eyal Dassau
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, 150 Western Avenue, Boston, Massachusetts 02134, USA.,Sansum Diabetes Research Institute, Santa Barbara, CA
| | | | - Francis J Doyle
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, 150 Western Avenue, Boston, Massachusetts 02134, USA.,Sansum Diabetes Research Institute, Santa Barbara, CA
| |
Collapse
|
45
|
Boscari F, Avogaro A. Current treatment options and challenges in patients with Type 1 diabetes: Pharmacological, technical advances and future perspectives. Rev Endocr Metab Disord 2021; 22:217-240. [PMID: 33755854 PMCID: PMC7985920 DOI: 10.1007/s11154-021-09635-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/09/2021] [Indexed: 12/14/2022]
Abstract
Type 1 diabetes mellitus imposes a significant burden of complications and mortality, despite important advances in treatment: subjects affected by this disease have also a worse quality of life-related to disease management. To overcome these challenges, different new approaches have been proposed, such as new insulin formulations or innovative devices. The introduction of insulin pumps allows a more physiological insulin administration with a reduction of HbA1c level and hypoglycemic risk. New continuous glucose monitoring systems with better accuracy have allowed, not only better glucose control, but also the improvement of the quality of life. Integration of these devices with control algorithms brought to the creation of the first artificial pancreas, able to independently gain metabolic control without the risk of hypo- and hyperglycemic crisis. This approach has revolutionized the management of diabetes both in terms of quality of life and glucose control. However, complete independence from exogenous insulin will be obtained only by biological approaches that foresee the replacement of functional beta cells obtained from stem cells: this will be a major challenge but the biggest hope for the subjects with type 1 diabetes. In this review, we will outline the current scenario of innovative diabetes management both from a technological and biological point of view, and we will also forecast some cutting-edge approaches to reduce the challenges that hamper the definitive cure of diabetes.
Collapse
Affiliation(s)
- Federico Boscari
- Department of Medicine, Unit of Metabolic Diseases, University of Padova, Padova, Italy.
| | - Angelo Avogaro
- Department of Medicine, Unit of Metabolic Diseases, University of Padova, Padova, Italy
| |
Collapse
|
46
|
Grunberger G, Sherr J, Allende M, Blevins T, Bode B, Handelsman Y, Hellman R, Lajara R, Roberts VL, Rodbard D, Stec C, Unger J. American Association of Clinical Endocrinology Clinical Practice Guideline: The Use of Advanced Technology in the Management of Persons With Diabetes Mellitus. Endocr Pract 2021; 27:505-537. [PMID: 34116789 DOI: 10.1016/j.eprac.2021.04.008] [Citation(s) in RCA: 121] [Impact Index Per Article: 40.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 04/16/2021] [Accepted: 04/19/2021] [Indexed: 02/08/2023]
Abstract
OBJECTIVE To provide evidence-based recommendations regarding the use of advanced technology in the management of persons with diabetes mellitus to clinicians, diabetes-care teams, health care professionals, and other stakeholders. METHODS The American Association of Clinical Endocrinology (AACE) conducted literature searches for relevant articles published from 2012 to 2021. A task force of medical experts developed evidence-based guideline recommendations based on a review of clinical evidence, expertise, and informal consensus, according to established AACE protocol for guideline development. MAIN OUTCOME MEASURES Primary outcomes of interest included hemoglobin A1C, rates and severity of hypoglycemia, time in range, time above range, and time below range. RESULTS This guideline includes 37 evidence-based clinical practice recommendations for advanced diabetes technology and contains 357 citations that inform the evidence base. RECOMMENDATIONS Evidence-based recommendations were developed regarding the efficacy and safety of devices for the management of persons with diabetes mellitus, metrics used to aide with the assessment of advanced diabetes technology, and standards for the implementation of this technology. CONCLUSIONS Advanced diabetes technology can assist persons with diabetes to safely and effectively achieve glycemic targets, improve quality of life, add greater convenience, potentially reduce burden of care, and offer a personalized approach to self-management. Furthermore, diabetes technology can improve the efficiency and effectiveness of clinical decision-making. Successful integration of these technologies into care requires knowledge about the functionality of devices in this rapidly changing field. This information will allow health care professionals to provide necessary education and training to persons accessing these treatments and have the required expertise to interpret data and make appropriate treatment adjustments.
Collapse
Affiliation(s)
| | - Jennifer Sherr
- Yale University School of Medicine, New Haven, Connecticut
| | - Myriam Allende
- University of Puerto Rico School of Medicine, San Juan, Puerto Rico
| | | | - Bruce Bode
- Atlanta Diabetes Associates, Atlanta, Georgia
| | | | - Richard Hellman
- University of Missouri-Kansas City School of Medicine, Kansas City, Missouri
| | | | | | - David Rodbard
- Biomedical Informatics Consultants, LLC, Potomac, Maryland
| | - Carla Stec
- American Association of Clinical Endocrinology, Jacksonville, Florida
| | - Jeff Unger
- Unger Primary Care Concierge Medical Group, Rancho Cucamonga, California
| |
Collapse
|
47
|
Eckstein ML, Weilguni B, Tauschmann M, Zimmer RT, Aziz F, Sourij H, Moser O. Time in Range for Closed-Loop Systems versus Standard of Care during Physical Exercise in People with Type 1 Diabetes: A Systematic Review and Meta-Analysis. J Clin Med 2021; 10:jcm10112445. [PMID: 34072900 PMCID: PMC8198013 DOI: 10.3390/jcm10112445] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 05/26/2021] [Accepted: 05/27/2021] [Indexed: 11/16/2022] Open
Abstract
The aim of this systematic review and meta-analysis was to compare time in range (TIR) (70–180 mg/dL (3.9–10.0 mmol/L)) between fully closed-loop systems (CLS) and standard of care (including hybrid systems) during physical exercise in people with type 1 diabetes (T1D). A systematic literature search was conducted in EMBASE, PubMed, Cochrane Central Register of Controlled Trials, and ISI Web of Science from January 1950 until January 2020. Randomized controlled trials including studies with different CLS were compared against standard of care in people with T1D. The meta-analysis was performed using the random effects model and restricted maximum likelihood estimation method. Six randomized controlled trials involving 153 participants with T1D of all age groups were included. Due to crossover test designs, studies were included repeatedly (a–d) if CLS or physical exercise interventions were different. Applying this methodology increased the comparisons to a total number of 266 participants. TIR was higher with an absolute mean difference (AMD) of 6.18%, 95% CI: 1.99 to 10.38% in favor of CLS. In a subgroup analysis, the AMD was 9.46%, 95% CI: 2.48% to 16.45% in children and adolescents while the AMD for adults was 1.07% 95% CI: −0.81% to 2.96% in favor of CLS. In this systematic review and meta-analysis CLS moderately improved TIR in comparison to standard of care during physical exercise in people with T1D. This effect was particularly pronounced for children and adolescents showing that the use of CLS improved TIR significantly compared to standard of care.
Collapse
Affiliation(s)
- Max L. Eckstein
- Division of Exercise Physiology and Metabolism, Department of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany; (M.L.E.); (R.T.Z.)
| | - Benjamin Weilguni
- Interdisciplinary Metabolic Medicine, Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria; (B.W.); (F.A.); (H.S.)
| | - Martin Tauschmann
- Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, 1090 Vienna, Austria;
| | - Rebecca T. Zimmer
- Division of Exercise Physiology and Metabolism, Department of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany; (M.L.E.); (R.T.Z.)
| | - Faisal Aziz
- Interdisciplinary Metabolic Medicine, Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria; (B.W.); (F.A.); (H.S.)
| | - Harald Sourij
- Interdisciplinary Metabolic Medicine, Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria; (B.W.); (F.A.); (H.S.)
| | - Othmar Moser
- Division of Exercise Physiology and Metabolism, Department of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany; (M.L.E.); (R.T.Z.)
- Interdisciplinary Metabolic Medicine, Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria; (B.W.); (F.A.); (H.S.)
- Correspondence: ; Tel.: +49-(0)921-55-3465
| |
Collapse
|
48
|
Bonnemaison É. [Technologies and type 1 diabetes: what measures and effects in adolescents?]. SOINS. PEDIATRIE, PUERICULTURE 2021; 42:12-15. [PMID: 34099230 DOI: 10.1016/j.spp.2021.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
The management of type 1 diabetes in paediatrics has evolved considerably over the last 20 years, mainly through the use of new technologies. The challenge of managing this disease is to achieve good glycaemic control in order to prevent complications while maintaining a good quality of life. What are the current and future means of achieving this?
Collapse
Affiliation(s)
- Élisabeth Bonnemaison
- Hôpital Clocheville, Centre hospitalier régional universitaire de Tours, 49 boulevard Béranger, 37000 Tours, France.
| |
Collapse
|
49
|
Abstract
Advances in diabetes technologies have enabled the development of automated closed-loop insulin delivery systems. Several hybrid closed-loop systems have been commercialised, reflecting rapid transition of this evolving technology from research into clinical practice, where it is gradually transforming the management of type 1 diabetes in children and adults. In this review we consider the supporting evidence in terms of glucose control and quality of life for presently available closed-loop systems and those in development, including dual-hormone closed-loop systems. We also comment on alternative 'do-it-yourself' closed-loop systems. We remark on issues associated with clinical adoption of these approaches, including training provision, and consider limitations of presently available closed-loop systems and areas for future enhancements to further improve outcomes and reduce the burden of diabetes management.
Collapse
Affiliation(s)
- Charlotte K Boughton
- Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Roman Hovorka
- Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
| |
Collapse
|
50
|
O'Malley G, Messer LH, Levy CJ, Pinsker JE, Forlenza GP, Isganaitis E, Kudva YC, Ekhlaspour L, Raghinaru D, Lum J, Brown SA. Clinical Management and Pump Parameter Adjustment of the Control-IQ Closed-Loop Control System: Results from a 6-Month, Multicenter, Randomized Clinical Trial. Diabetes Technol Ther 2021; 23:245-252. [PMID: 33155824 PMCID: PMC8114941 DOI: 10.1089/dia.2020.0472] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Background: Data are limited on the need for and benefits of pump setting optimization with automated insulin delivery. We examined clinical management of a closed-loop control (CLC) system and its relationship to glycemic outcomes. Materials and Methods: We analyzed personal parameter adjustments in 168 participants in a 6-month multicenter trial of CLC with Control-IQ versus sensor-augmented pump (SAP) therapy. Preset parameters (BR = basal rates, CF = correction factors, CR = carbohydrate ratios) were optimized at randomization, 2 and 13 weeks, for safety issues, participant concerns, or initiation by participants' usual diabetes care team. Time in range (TIR 70-180 mg/dL) was compared in the week before and after parameter changes. Results: In 607 encounters for parameter changes, there were fewer adjustments for CLC than SAP (3.4 vs. 4.1/participant). Adjustments involved BR (CLC 69%, SAP 80%), CR (CLC 68%, SAP 50%), CF (CLC 44%, SAP 41%), and overnight parameters (CLC 62%, SAP 75%). TIR before and after adjustments was 71.2% and 71.3% for CLC and 61.0% and 62.9% for SAP. The highest baseline HbA1c CLC subgroup had the largest TIR improvement (51.2% vs. 57.7%). When a CR was made more aggressive in the CLC group, postprandial time >180 mg/dL was 43.1% before the change and 36.0% after the change. The median postprandial time <70 mg/dL before making CR less aggressive was 1.8%, and after the change was 0.7%. Conclusions: No difference in TIR was detected with parameter changes overall, but they may have an effect in higher HbA1c subgroups or following user-directed boluses, suggesting that changes may matter more in suboptimal control or during discrete periods of the day. Clinical Trials Registration number: NCT03563313.
Collapse
Affiliation(s)
- Grenye O'Malley
- Division of Endocrinology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Laurel H. Messer
- Barbara Davis Center for Diabetes, University of Colorado, Aurora, Colorado, USA
| | - Carol J. Levy
- Division of Endocrinology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | | | - Gregory P. Forlenza
- Barbara Davis Center for Diabetes, University of Colorado, Aurora, Colorado, USA
| | - Elvira Isganaitis
- Research Division, Joslin Diabetes Center and Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
| | - Yogish C. Kudva
- Division of Endocrinology, Diabetes, Metabolism and Nutrition, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Laya Ekhlaspour
- Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Dan Raghinaru
- Jaeb Center for Health Research, Tampa, Florida, USA
| | - John Lum
- Jaeb Center for Health Research, Tampa, Florida, USA
- Address correspondence to: John Lum, MS, Jaeb Center for Health Research, 15310 Amberly Drive, Suite 350, Tampa, FL 33647, USA
| | - Sue A. Brown
- Division of Endocrinology, Department of Medicine, Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia, USA
| |
Collapse
|