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Reinders EFH, de Vries R, Wouters-van Poppel PCM, Van Riel NAW, Haak HR. Serious digital games for diabetes Mellitus: A scoping review of its current State, Accessibility, and functionality for patients and healthcare providers. Diabetes Res Clin Pract 2024; 216:111833. [PMID: 39179114 DOI: 10.1016/j.diabres.2024.111833] [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: 03/22/2024] [Revised: 08/08/2024] [Accepted: 08/19/2024] [Indexed: 08/26/2024]
Abstract
The global rise in diabetes prevalence poses a significant challenge to healthcare providers, stimulating interest in digital interventions such as educational games. However, the impact and availability of research-developed diabetes games remain uncertain. This scoping review aimed to provide a comprehensive overview of serious games for diabetes, encompassing their availability, characteristics and health effects. Through an electronic search in multiple databases, a total of 21 articles addressing 23 games were included in the literature review. The majority of these games were inaccessible outside of research settings, despite demonstrating positive effects on various aspects of diabetes management, including knowledge, physical activity, self-management, mental well-being, and HbA1c levels. Most games were designed for mobile phones, targeting both children and adults. A subsequent app store search revealed 13 additional diabetes games, however nearly none (7.7%) of these underwent research scrutiny, leaving their expected effects uncertain. The disparity between evidence-based games and those available in app stores underscores the need for bridging this gap to ensure the availability of effective digital games for diabetes management worldwide.
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Affiliation(s)
- Edouard F H Reinders
- Máxima MC, Department of Internal Medicine, Eindhoven/Veldhoven, the Netherlands; Maastricht University, CAPHRI School for Public Health and Primary Care, Ageing and Long-Term Care, Maastricht, the Netherlands; Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.
| | - Ryan de Vries
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | | | - Natal A W Van Riel
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Harm R Haak
- Máxima MC, Department of Internal Medicine, Eindhoven/Veldhoven, the Netherlands; Maastricht University, CAPHRI School for Public Health and Primary Care, Ageing and Long-Term Care, Maastricht, the Netherlands; Department of Internal Medicine, Division of General Internal Medicine, Maastricht University Medical Centre+, Maastricht, the Netherlands
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2
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Liarakos AL, Lim JZM, Leelarathna L, Wilmot EG. The use of technology in type 2 diabetes and prediabetes: a narrative review. Diabetologia 2024; 67:2059-2074. [PMID: 38951212 PMCID: PMC11446986 DOI: 10.1007/s00125-024-06203-7] [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: 03/05/2024] [Accepted: 05/09/2024] [Indexed: 07/03/2024]
Abstract
The increasing incidence of type 2 diabetes, which represents 90% of diabetes cases globally, is a major public health concern. Improved glucose management reduces the risk of vascular complications and mortality; however, only a small proportion of the type 2 diabetes population have blood glucose levels within the recommended treatment targets. In recent years, diabetes technologies have revolutionised the care of people with type 1 diabetes, and it is becoming increasingly evident that people with type 2 diabetes can also benefit from these advances. In this review, we describe the current knowledge regarding the role of technologies for people living with type 2 diabetes and the evidence supporting their use in clinical practice. We conclude that continuous glucose monitoring systems deliver glycaemic benefits for individuals with type 2 diabetes, whether treated with insulin or non-insulin therapy; further data are required to evaluate the role of these systems in those with prediabetes (defined as impaired glucose tolerance and/or impaired fasting glucose and/or HbA1c levels between 39 mmol/mol [5.7%] and 47 mmol/mol [6.4%]). The use of insulin pumps seems to be safe and effective in people with type 2 diabetes, especially in those with an HbA1c significantly above target. Initial results from studies exploring the impact of closed-loop systems in type 2 diabetes are promising. We discuss directions for future research to fully understand the potential benefits of integrating evidence-based technology into care for people living with type 2 diabetes and prediabetes.
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Affiliation(s)
- Alexandros L Liarakos
- Department of Diabetes and Endocrinology, University Hospitals of Derby and Burton NHS Foundation Trust, Royal Derby Hospital, Derby, UK
- School of Medicine, Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK
| | - Jonathan Z M Lim
- Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester Royal Infirmary, Manchester, UK
| | - Lalantha Leelarathna
- Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester Royal Infirmary, Manchester, UK
- Department of Diabetes, Imperial College Healthcare NHS Trust, London, UK
- Faculty of Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Emma G Wilmot
- Department of Diabetes and Endocrinology, University Hospitals of Derby and Burton NHS Foundation Trust, Royal Derby Hospital, Derby, UK.
- School of Medicine, Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK.
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3
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Lee J, Yoon K. Islet transplantation in Korea. J Diabetes Investig 2024; 15:1165-1170. [PMID: 39105663 PMCID: PMC11363101 DOI: 10.1111/jdi.14264] [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: 02/26/2024] [Revised: 06/22/2024] [Accepted: 06/27/2024] [Indexed: 08/07/2024] Open
Abstract
Type 1 diabetes mellitus is characterized by absolute insulin deficiency, which requires life-long insulin replacement. Exogenous multiple-daily insulin injections are most commonly prescribed for patients with type 1 diabetes mellitus. However, exogenous insulin supply often fails to cope with real-time changing life-log variables, such as activity, diet and stress, which results in recurrent hypo- and hyperglycemia in patients with type 1 diabetes mellitus. Islet transplantation is an ideal method to treat patients with type 1 diabetes mellitus, as it can restore the endogenous capacity of glucose-stimulated insulin secretion. However, due to donor scarcity and technical barriers, only a limited number of islet transplantations have been carried out in Asia, including South Korea. Since 2013, our center has carried out two allogenic islet transplantations, with one case leading to near total insulin independence after one-to-one islet transplantation. Although the other patient failed to restore endogenous insulin production, there was a remarkable improvement in hypoglycemia. We speculate that islet transplantation remains an important and ideal treatment option for patients with type 1 diabetes mellitus who suffer from recurrent severe hypoglycemia.
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Affiliation(s)
- Joonyub Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, Seoul St Mary's HospitalThe Catholic University of KoreaSeoulKorea
| | - Kun‐Ho Yoon
- Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, Seoul St Mary's HospitalThe Catholic University of KoreaSeoulKorea
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4
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Phillip M, Achenbach P, Addala A, Albanese-O'Neill A, Battelino T, Bell KJ, Besser REJ, Bonifacio E, Colhoun HM, Couper JJ, Craig ME, Danne T, de Beaufort C, Dovc K, Driscoll KA, Dutta S, Ebekozien O, Larsson HE, Feiten DJ, Frohnert BI, Gabbay RA, Gallagher MP, Greenbaum CJ, Griffin KJ, Hagopian W, Haller MJ, Hendrieckx C, Hendriks E, Holt RIG, Hughes L, Ismail HM, Jacobsen LM, Johnson SB, Kolb LE, Kordonouri O, Lange K, Lash RW, Lernmark Å, Libman I, Lundgren M, Maahs DM, Marcovecchio ML, Mathieu C, Miller KM, O'Donnell HK, Oron T, Patil SP, Pop-Busui R, Rewers MJ, Rich SS, Schatz DA, Schulman-Rosenbaum R, Simmons KM, Sims EK, Skyler JS, Smith LB, Speake C, Steck AK, Thomas NPB, Tonyushkina KN, Veijola R, Wentworth JM, Wherrett DK, Wood JR, Ziegler AG, DiMeglio LA. Consensus guidance for monitoring individuals with islet autoantibody-positive pre-stage 3 type 1 diabetes. Diabetologia 2024; 67:1731-1759. [PMID: 38910151 PMCID: PMC11410955 DOI: 10.1007/s00125-024-06205-5] [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: 06/25/2024]
Abstract
Given the proven benefits of screening to reduce diabetic ketoacidosis (DKA) likelihood at the time of stage 3 type 1 diabetes diagnosis, and emerging availability of therapy to delay disease progression, type 1 diabetes screening programmes are being increasingly emphasised. Once broadly implemented, screening initiatives will identify significant numbers of islet autoantibody-positive (IAb+) children and adults who are at risk of (confirmed single IAb+) or living with (multiple IAb+) early-stage (stage 1 and stage 2) type 1 diabetes. These individuals will need monitoring for disease progression; much of this care will happen in non-specialised settings. To inform this monitoring, JDRF in conjunction with international experts and societies developed consensus guidance. Broad advice from this guidance includes the following: (1) partnerships should be fostered between endocrinologists and primary-care providers to care for people who are IAb+; (2) when people who are IAb+ are initially identified there is a need for confirmation using a second sample; (3) single IAb+ individuals are at lower risk of progression than multiple IAb+ individuals; (4) individuals with early-stage type 1 diabetes should have periodic medical monitoring, including regular assessments of glucose levels, regular education about symptoms of diabetes and DKA, and psychosocial support; (5) interested people with stage 2 type 1 diabetes should be offered trial participation or approved therapies; and (6) all health professionals involved in monitoring and care of individuals with type 1 diabetes have a responsibility to provide education. The guidance also emphasises significant unmet needs for further research on early-stage type 1 diabetes to increase the rigour of future recommendations and inform clinical care.
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Affiliation(s)
- Moshe Phillip
- Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
- Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Peter Achenbach
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Forschergruppe Diabetes, Technical University Munich, Klinikum Rechts Der Isar, Munich, Germany
| | - Ananta Addala
- Division of Endocrinology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Tadej Battelino
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
- Department of Endocrinology, Diabetes and Metabolism, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Kirstine J Bell
- Charles Perkins Centre and Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Rachel E J Besser
- JDRF/Wellcome Diabetes and Inflammation Laboratory, Wellcome Centre Human Genetics, Nuffield Department of Medicine Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
- Department of Paediatrics, University of Oxford, Oxford, UK
| | - Ezio Bonifacio
- Center for Regenerative Therapies Dresden, Faculty of Medicine, Technical University of Dresden, Dresden, Germany
- Paul Langerhans Institute Dresden, Helmholtz Centre Munich at the University Clinic Carl Gustav Carus of TU Dresden and Faculty of Medicine, Dresden, Germany
| | - Helen M Colhoun
- The Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- Department of Public Health, NHS Fife, Kirkcaldy, UK
| | - Jennifer J Couper
- Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia
- Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia
- Division of Paediatrics, Women's and Children's Hospital, Adelaide, SA, Australia
| | - Maria E Craig
- Charles Perkins Centre and Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
- Discipline of Paediatrics & Child Health, School of Clinical Medicine, UNSW Medicine & Health, Sydney, NSW, Australia
| | | | - Carine de Beaufort
- International Society for Pediatric and Adolescent Diabetes (ISPAD), Berlin, Germany
- Diabetes & Endocrine Care Clinique Pédiatrique (DECCP), Clinique Pédiatrique/Centre Hospitalier (CH) de Luxembourg, Luxembourg City, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-Belval, Luxembourg
| | - Klemen Dovc
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
- Department of Endocrinology, Diabetes and Metabolism, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Kimberly A Driscoll
- Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
- Department of Pediatrics, University of Florida Diabetes Institute, Gainesville, FL, USA
| | | | | | - Helena Elding Larsson
- Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
- Department of Pediatrics, Skåne University Hospital, Malmö and Lund, Sweden
| | | | - Brigitte I Frohnert
- Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | | | - Carla J Greenbaum
- Center for Interventional Immunology and Diabetes Program, Benaroya Research Institute, Seattle, WA, USA
| | - Kurt J Griffin
- Sanford Research, Sioux Falls, SD, USA
- Department of Pediatrics, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA
| | - William Hagopian
- Pacific Northwest Diabetes Research Institute, University of Washington, Seattle, WA, USA
| | - Michael J Haller
- Department of Pediatrics, University of Florida Diabetes Institute, Gainesville, FL, USA
- Division of Endocrinology, University of Florida College of Medicine, Gainesville, FL, USA
| | - Christel Hendrieckx
- School of Psychology, Deakin University, Geelong, VIC, Australia
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Carlton, VIC, Australia
- Institute for Health Transformation, Deakin University, Geelong, VIC, Australia
| | - Emile Hendriks
- Department of Paediatrics, University of Cambridge and Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, UK
| | - Richard I G Holt
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
- National Institute for Health and Care Research Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | | | - Heba M Ismail
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Laura M Jacobsen
- Division of Endocrinology, University of Florida College of Medicine, Gainesville, FL, USA
| | - Suzanne B Johnson
- Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Tallahassee, FL, USA
| | - Leslie E Kolb
- Association of Diabetes Care & Education Specialists, Chicago, IL, USA
| | | | - Karin Lange
- Medical Psychology, Hannover Medical School, Hannover, Germany
| | | | - Åke Lernmark
- Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
| | - Ingrid Libman
- Division of Pediatric Endocrinology and Diabetes, University of Pittsburgh, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, USA
| | - Markus Lundgren
- Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
- Department of Pediatrics, Kristianstad Hospital, Kristianstad, Sweden
| | - David M Maahs
- Division of Endocrinology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - M Loredana Marcovecchio
- Department of Pediatrics, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Chantal Mathieu
- Department of Endocrinology, UZ Gasthuisberg, KU Leuven, Leuven, Belgium
| | | | - Holly K O'Donnell
- Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Tal Oron
- Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
- Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Shivajirao P Patil
- Department of Family Medicine, Brody School of Medicine, East Carolina University, Greenville, NC, USA
| | - Rodica Pop-Busui
- Department of Internal Medicine, Division of Metabolism, Endocrinology and Diabetes, University of Michigan, Ann Arbor, MI, USA
| | - Marian J Rewers
- Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Desmond A Schatz
- Department of Pediatrics, University of Florida, Gainesville, FL, USA
| | - Rifka Schulman-Rosenbaum
- Division of Endocrinology, Long Island Jewish Medical Center, Northwell Health, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New Hyde Park, NY, USA
| | - Kimber M Simmons
- Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Emily K Sims
- Division of Pediatric Endocrinology and Diabetology, Herman B Wells Center for Pediatric Research, Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Jay S Skyler
- Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Laura B Smith
- Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Cate Speake
- Center for Interventional Immunology and Diabetes Program, Benaroya Research Institute, Seattle, WA, USA
| | - Andrea K Steck
- Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | - Ksenia N Tonyushkina
- Division of Endocrinology and Diabetes, Baystate Children's Hospital and University of Massachusetts Chan Medical School - Baystate, Springfield, MA, USA
| | - Riitta Veijola
- Research Unit of Clinical Medicine, Department of Pediatrics, Medical Research Center, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - John M Wentworth
- The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia
- Department of Diabetes and Endocrinology, Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Diane K Wherrett
- Department of Paediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Jamie R Wood
- Department of Pediatric Endocrinology, Rainbow Babies and Children's Hospital, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Anette-Gabriele Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Forschergruppe Diabetes, Technical University Munich, Klinikum Rechts Der Isar, Munich, Germany
| | - Linda A DiMeglio
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
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Roy A, Grosman B, Benedetti A, Engheta B, Miller D, Laron-Hirsh M, Cohen Y, Ré R, Edd SN, Vigersky R, Cohen O, Tirosh A. An Automated Insulin Delivery System with Automatic Meal Bolus Based on a Hand-Gesturing Algorithm. Diabetes Technol Ther 2024; 26:633-643. [PMID: 38417017 DOI: 10.1089/dia.2023.0529] [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: 03/01/2024]
Abstract
Background: Carbohydrate counting (CC) and meal announcements, before eating, introduce a significant burden for individuals managing type 1 diabetes (T1D). An automated insulin delivery system with automatic bolusing that eliminates the need for CC and premeal bolusing (i.e., a hands-free closed-loop [HFCL] system) was assessed in a feasibility trial of adults with T1D. Methods: The system included the MiniMed™ 780G pump and a smartphone-paired smartwatch with the Klue application (Klue, Inc.) that detects eating and drinking gestures. A smartphone algorithm converted gestures into carb amounts that were transmitted to the pump for automatic bolusing. For 5 days, participants (N = 17, 18-75 years of age) used the system at home with meal announcements based on traditional CC, with the Klue application disabled (Home-stay phase). Thereafter, participants moved to a supervised hotel setting, where the Klue application was enabled for 5 days and meals were not announced (Hotel-stay phase). Participants consumed the same eight test meals (six solid and two liquid) of varying caloric and carb size at the same time and day of the week for both phases, and glycemic metrics were compared. Otherwise, there were no other meal restrictions. Results: The overall time in range (70-180 mg/dL) was 83.4% ± 7.0% and 80.6% ± 6.7% for the Home-stay and Hotel-stay, respectively (P = 0.08). The average time at <70 mg/dL was 3.1% and 3.0% (P = 0.9144), respectively, and the average time at >180 mg/dL was 13.5% and 16.3% (P = 0.1046), respectively. Postprandial glycemia following low-carb test meals was similar between the two phases. The system's ability to accommodate high-carb meals was somewhat limited. There were no episodes of severe hypoglycemia or diabetic ketoacidosis. Conclusion: Preliminary findings show that a HFCL system was safe and maintained overall glycemic control, similar to that observed with traditional CC and manual meal bolusing. By eliminating these daily T1D burdens, a HFCL system may improve quality of life for individuals with T1D. ClinicalTrials.gov number: NCT04964128.
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Affiliation(s)
- Anirban Roy
- Medtronic Diabetes, Northridge, California, USA
| | | | | | | | | | - Maya Laron-Hirsh
- Division of Endocrinology, Diabetes, and Metabolism, Sheba Medical Center and Tel-Aviv University School of Medicine, Tel-Aviv, Israel
| | - Yael Cohen
- Division of Endocrinology, Diabetes, and Metabolism, Sheba Medical Center and Tel-Aviv University School of Medicine, Tel-Aviv, Israel
| | - Roseline Ré
- Medtronic International Trading Sàrl, Tolochenaz, Switzerland
| | - Shannon N Edd
- Medtronic International Trading Sàrl, Tolochenaz, Switzerland
| | | | - Ohad Cohen
- Medtronic Diabetes, Northridge, California, USA
- Medtronic International Trading Sàrl, Tolochenaz, Switzerland
| | - Amir Tirosh
- Division of Endocrinology, Diabetes, and Metabolism, Sheba Medical Center and Tel-Aviv University School of Medicine, Tel-Aviv, Israel
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6
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Mader JK, Waldenmaier D, Mueller-Hoffmann W, Mueller K, Angstmann M, Vogt G, Rieger CC, Eichenlaub M, Forst T, Freckmann G. Performance of a Novel Continuous Glucose Monitoring Device in People With Diabetes. J Diabetes Sci Technol 2024; 18:1044-1051. [PMID: 39158986 PMCID: PMC11418503 DOI: 10.1177/19322968241267774] [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] [Indexed: 08/21/2024]
Abstract
BACKGROUND In this multicenter study, performance of a novel continuous glucose monitoring (CGM) system was evaluated. METHODS Adult participants with diabetes were included in the study. They each wore three sensors of the CGM system on the upper arms for up to 14 days. During four in-clinic visits, frequent comparison measurements with capillary blood glucose (BG) samples were performed. The primary endpoint was the 20/20 agreement rate (AR): the percentage of CGM readings within ±20 mg/dL (at BG values <100 mg/dL) or ±20% (at BG values ≥100 mg/dL) of the comparator. Further evaluations included mean absolute relative difference (MARD) and 20/20 AR in different BG ranges and across the wear time. RESULTS Data from 48 participants and 139 sensors were analyzed. During in-clinic sessions the 20/20 AR was 90.5% and the MARD was 9.2%. For BG ranges <70, 70-180, and >180 mg/dL, 20/20 AR was 94.3%, 89.0%, and 92.5%, respectively. At the beginning, middle, and end of sensor wear time, 20/20 AR was 92.8%, 91.5%, and 85.9%, respectively. The 14-day survival probability was 82.4%. Pain and bleeding after sensor insertion were within the expected range. Based on the study outcome, the use of the device is regarded as safe. CONCLUSIONS The system showed a good performance compared to capillary BG measurements. This level of accuracy could be shown over the entire measurement range, especially in the low glycemic range, and the whole wear time of the sensors. The results of this study are supporting a non-adjunctive use of the device.
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Affiliation(s)
- Julia K. Mader
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Delia Waldenmaier
- Institut für Diabetes-Technologie Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | | | | | | | | | | | - Manuel Eichenlaub
- Institut für Diabetes-Technologie Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | - Thomas Forst
- CRS Clinical Research Services Mannheim GmbH, Mannheim, Germany
| | - Guido Freckmann
- Institut für Diabetes-Technologie Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
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Fuhri Snethlage CM, Balvers M, Ferwerda B, Rampanelli E, de Groen P, Roep BO, Herrema H, McDonald TJ, van Raalte DH, Weedon MN, Oram RA, Nieuwdorp M, Hanssen NMJ. Associations between diabetes-related genetic risk scores and residual beta cell function in type 1 diabetes: the GUTDM1 study. Diabetologia 2024; 67:1865-1876. [PMID: 38922416 PMCID: PMC11410997 DOI: 10.1007/s00125-024-06204-6] [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: 01/12/2024] [Accepted: 04/29/2024] [Indexed: 06/27/2024]
Abstract
AIMS/HYPOTHESIS Use of genetic risk scores (GRS) may help to distinguish between type 1 diabetes and type 2 diabetes, but less is known about whether GRS are associated with disease severity or progression after diagnosis. Therefore, we tested whether GRS are associated with residual beta cell function and glycaemic control in individuals with type 1 diabetes. METHODS Immunochip arrays and TOPMed were used to genotype a cross-sectional cohort (n=479, age 41.7 ± 14.9 years, duration of diabetes 16.0 years [IQR 6.0-29.0], HbA1c 55.6 ± 12.2 mmol/mol). Several GRS, which were originally developed to assess genetic risk of type 1 diabetes (GRS-1, GRS-2) and type 2 diabetes (GRS-T2D), were calculated. GRS-C1 and GRS-C2 were based on SNPs that have previously been shown to be associated with residual beta cell function. Regression models were used to investigate the association between GRS and residual beta cell function, assessed using the urinary C-peptide/creatinine ratio, and the association between GRS and continuous glucose monitor metrics. RESULTS Higher GRS-1 and higher GRS-2 both showed a significant association with undetectable UCPCR (OR 0.78; 95% CI 0.69, 0.89 and OR 0.84: 95% CI 0.75, 0.93, respectively), which were attenuated after correction for sex and age of onset (GRS-2) and disease duration (GRS-1). Higher GRS-C2 was associated with detectable urinary C-peptide/creatinine ratio (≥0.01 nmol/mmol) after correction for sex and age of onset (OR 6.95; 95% CI 1.19, 40.75). A higher GRS-T2D was associated with less time below range (TBR) (OR for TBR<4% 1.41; 95% CI 1.01 to 1.96) and lower glucose coefficient of variance (β -1.53; 95% CI -2.76, -0.29). CONCLUSIONS/INTERPRETATION Diabetes-related GRS are associated with residual beta cell function in individuals with type 1 diabetes. These findings suggest some genetic contribution to preservation of beta cell function.
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Affiliation(s)
- Coco M Fuhri Snethlage
- Department of (Experimental) Vascular and Internal Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
| | - Manon Balvers
- Department of (Experimental) Vascular and Internal Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Bart Ferwerda
- Department of Clinical Epidemiology and Biostatistics, Amsterdam UMC, Amsterdam, the Netherlands
| | - Elena Rampanelli
- Department of (Experimental) Vascular and Internal Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Pleun de Groen
- Department of (Experimental) Vascular and Internal Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Bart O Roep
- Leids Universitair Medisch Centrum, Internal Medicine, Leiden, the Netherlands
| | - Hilde Herrema
- Department of (Experimental) Vascular and Internal Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Timothy J McDonald
- Peninsula College of Medicine and Dentistry, Peninsula NIHR Clinical Research Facility, Exeter, Devon, UK
| | - Daniël H van Raalte
- Department of (Experimental) Vascular and Internal Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
- Department of Endocrinology and Metabolism, Amsterdam UMC, Amsterdam, the Netherlands
- Diabeter Center Amsterdam, Amsterdam, the Netherlands
| | - Michael N Weedon
- Peninsula College of Medicine and Dentistry, Peninsula NIHR Clinical Research Facility, Exeter, Devon, UK
| | - Richard A Oram
- Peninsula College of Medicine and Dentistry, Peninsula NIHR Clinical Research Facility, Exeter, Devon, UK
| | - Max Nieuwdorp
- Department of (Experimental) Vascular and Internal Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
- Diabeter Center Amsterdam, Amsterdam, the Netherlands
| | - Nordin M J Hanssen
- Department of (Experimental) Vascular and Internal Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
- Diabeter Center Amsterdam, Amsterdam, the Netherlands
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de Jong LA, Li X, Emamipour S, van der Werf S, Postma MJ, van Dijk PR, Feenstra TL. Evaluating the Cost-Utility of Continuous Glucose Monitoring in Individuals with Type 1 Diabetes: A Systematic Review of the Methods and Quality of Studies Using Decision Models or Empirical Data. PHARMACOECONOMICS 2024; 42:929-953. [PMID: 38904911 PMCID: PMC11343921 DOI: 10.1007/s40273-024-01388-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 04/22/2024] [Indexed: 06/22/2024]
Abstract
INTRODUCTION This review presents a critical appraisal of differences in the methodologies and quality of model-based and empirical data-based cost-utility studies on continuous glucose monitoring (CGM) in type 1 diabetes (T1D) populations. It identifies key limitations and challenges in health economic evaluations on CGM and opportunities for their improvement. METHODS The review and its documentation adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for systematic reviews. Searches for articles published between January 2000 and January 2023 were conducted using the MEDLINE, Embase, Web of Science, Cochrane Library, and Econlit databases. Published studies using models and empirical data to evaluate the cost utility of all CGM devices used by T1D patients were included in the search. Two authors independently extracted data on interventions, populations, model settings (e.g., perspectives and time horizons), model types and structures, clinical outcomes used to populate the model, validation, and uncertainty analyses. They subsequently met to confirm consensus. Quality was assessed using the Philips checklist for model-based studies and the Consensus Health Economic Criteria (CHEC) checklist for empirical studies. Model validation was assessed using the Assessment of the Validation Status of Health-Economic decision models (AdViSHE) checklist. The extracted data were used to generate summary tables and figures. The study protocol is registered with PROSPERO (CRD42023391284). RESULTS In total, 34 studies satisfied the selection criteria, two of which only used empirical data. The remaining 32 studies applied 10 different models, with a substantial majority adopting the CORE Diabetes Model. Model-based studies often lacked transparency, as their assumptions regarding the extrapolation of treatment effects beyond available evidence from clinical studies and the selection and processing of the input data were not explicitly stated. Initial scores for disagreements concerning checklists were relatively high, especially for the Philips checklist. Following their resolution, overall quality scores were moderate at 56%, whereas model validation scores were mixed. Strikingly, costing approaches differed widely across studies, resulting in little consistency in the elements included in intervention costs. DISCUSSION AND CONCLUSION The overall quality of studies evaluating CGM was moderate. Potential areas of improvement include developing systematic approaches for data selection, improving uncertainty analyses, clearer reporting, and explaining choices for particular modeling approaches. Few studies provided the assurance that all relevant and feasible options had been compared, which is required by decision makers, especially for rapidly evolving technologies such as CGM and insulin administration. High scores for disagreements indicated that several checklists contained questions that were difficult to interpret consistently for quality assessment. Therefore, simpler but comprehensive quality checklists may be needed for model-based health economic evaluation studies.
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Affiliation(s)
- Lisa A de Jong
- Department of Health Sciences, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Xinyu Li
- Groningen Research Institute of Pharmacy (GRIP), Faculty of Science and Engineering, University of Groningen, Groningen, The Netherlands
| | - Sajad Emamipour
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Sjoukje van der Werf
- Central Medical Library, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Maarten J Postma
- Department of Health Sciences, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Economics, Econometrics and Finance, Faculty of Economics and Business, University of Groningen, Groningen, The Netherlands
- Center of Excellence for Pharmaceutical Care Innovation, Universitas Padjadjaran, Bandung, Indonesia
- Department of Pharmacology and Therapy, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia
| | - Peter R van Dijk
- Department of Endocrinology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Internal Medicine, Diabetes Center, Isala, Zwolle, The Netherlands
| | - Talitha L Feenstra
- Groningen Research Institute of Pharmacy (GRIP), Faculty of Science and Engineering, University of Groningen, Groningen, The Netherlands.
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
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9
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Gómez-Peralta F, Leiva-Gea I, Duque N, Artime E, Rubio de Santos M. Impact of Continuous Glucose Monitoring and its Glucometrics in Clinical Practice in Spain and Future Perspectives: A Narrative Review. Adv Ther 2024; 41:3471-3488. [PMID: 39093492 DOI: 10.1007/s12325-024-02943-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Accepted: 07/03/2024] [Indexed: 08/04/2024]
Abstract
INTRODUCTION Continuous glucose monitoring (CGM) devices allow for 24-h real-time measurement of interstitial glucose levels and have changed the interaction between people with diabetes and their health care providers. The large amount of data generated by CGM can be analyzed and evaluated using a set of standardized parameters, collectively named glucometrics. This review aims to provide a summary of the existing evidence on the use of glucometrics data and its impact on clinical practice based on published studies involving adults and children with type 1 diabetes (T1D) in Spain. METHODS The PubMed and MEDES (Spanish Medical literature) databases were searched covering the years 2018-2022 and including clinical and observational studies, consensus guidelines, and meta-analyses on CGM and glucometrics conducted in Spain. RESULTS A total of 16 observational studies were found on the use of CGM in Spain, which have shown that cases of severe hypoglycemia in children with T1D were greatly reduced after the introduction of CGM, resulting in a significant reduction in costs. Real-world data from Spain shows that CGM is associated with improved glycemic markers (increased time in range, reduced time below and above range, and glycemic variability), and that there is a relationship between glycemic variability and hypoglycemia. Also, CGM and analysis of glucometrics proved highly useful during the COVID-19 pandemic. New glucometrics, such as the glycemic risk index, or new mathematical approaches to the analysis of CGM-derived glucose data, such as "glucodensities," could help patients to achieve better glycemic control in the future. CONCLUSION By using glucometrics in clinical practice, clinicians can better assess glycemic control and a patient's individual response to treatment.
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Affiliation(s)
| | - Isabel Leiva-Gea
- Pediatric Endocrinology Service, Hospital Regional de Málaga, Málaga, Spain
- Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - Natalia Duque
- Eli Lilly and Company, Av. de la Industria 30, Alcobendas, 28108, Madrid, Spain.
| | - Esther Artime
- Eli Lilly and Company, Av. de la Industria 30, Alcobendas, 28108, Madrid, Spain
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10
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Stenov V, Cleal B, Willaing I, Christensen JN, Jensen CG, Mouritsen JD, Due-Christensen M. An evidence-based nurse-led intervention to reduce diabetes distress among adults with type 1 diabetes and diabetes distress (REDUCE): Development of a complex intervention informed by the Medical Research Council framework. JMIR Form Res 2024. [PMID: 39239797 DOI: 10.2196/58658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/07/2024] Open
Abstract
BACKGROUND Diabetes distress refers to the negative emotional reaction to living with the demands of diabetes and is occurring in more than 40 % of adults with type 1 diabetes. However, no interventions to reduce diabetes distress are specifically designed to be an integral part of diabetes care. OBJECTIVE To modify and adapt existing, evidence-based methods into a nurse-led group intervention to reduce diabetes distress among adults with type 1 diabetes and moderate to severe diabetes distress. METHODS The overall framework of this study was informed by the initial phase of the Medical Research Council complex intervention framework undertaking intervention identification and development to guide the adaptation of the intervention. This study took place at two specialised diabetes centres in Denmark from November 2019 to June 2021. A total of 36 adults with type 1 diabetes participated in 10 parallel workshops. Twelve diabetes-specialised nurses were interviewed and participated in one co-creation workshop and 12 multidisciplinary specialists (psychologists, educational specialists, and researchers) participated in four co-creation workshops and 14 feedback meetings. Data were analysed by applying a deductive analytical approach. RESULTS The intervention included five bi-weekly 2½-hour small group sessions with adults with type 1 diabetes and diabetes distress delivered by two trained diabetes specialist nurses guided by a detailed step-by-step manual. The intervention material includes visual conversation tools, covering seven diabetes-specific sources derived from the 28-item diabetes distress scale for measuring diabetes distress: 1) powerlessness, 2) self-management, 3) fear of hypoglycaemia, 4) food and eating, 5) friends and family, 6) negative social perception, and 7) physician distress. The tools are designed to kick-start awareness and sharing of diabetes-specific challenges and strengths, individual reflections as well as plenary- and peer-to-peer discussions about strategies to manage diabetes distress, providing new perspectives on diabetes worries, and strategies to overcome negative emotions. Diabetes specialist nurses expressed a need for a manual with descriptions of methods and detailed guidelines for using the tools. To deliver the intervention nurses needed increased knowledge about diabetes distress, how to support diabetes distress reduction, and training and supervision to improve skills. CONCLUSIONS This co-design study has described the adaption of a complex intervention with a strong evidence base including detailed reporting of the theoretical underpinnings and core mechanisms. CLINICALTRIAL
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Affiliation(s)
- Vibeke Stenov
- Steno Diabetes Center Copenhagen- Copenhagen University Hospital, Department of Prevention, Health Promotion and Community Care, Borgmester Ib Juels Vej 83, Herlev, DK
| | - Bryan Cleal
- Steno Diabetes Center Copenhagen- Copenhagen University Hospital, Department of Prevention, Health Promotion and Community Care, Borgmester Ib Juels Vej 83, Herlev, DK
| | - Ingrid Willaing
- Copenhagen University, Department of Public Health, Section of Health Services Research, Copenhagen, DK
| | - Jette Normann Christensen
- Steno Diabetes Center Copenhagen- Copenhagen University Hospital, Department of Diabetes Care, Herlev, DK
| | - Christian Gaden Jensen
- Aarhus University, Foundation for Mental Health and Cognitive Neuroscience Research Unit, Aarhus, DK
| | | | - Mette Due-Christensen
- Steno Diabetes Center Copenhagen- Copenhagen University Hospital, Department of Prevention, Health Promotion and Community Care, Borgmester Ib Juels Vej 83, Herlev, DK
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11
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Umpierrez GE, Davis GM, ElSayed NA, Fadini GP, Galindo RJ, Hirsch IB, Klonoff DC, McCoy RG, Misra S, Gabbay RA, Bannuru RR, Dhatariya KK. Hyperglycaemic crises in adults with diabetes: a consensus report. Diabetologia 2024; 67:1455-1479. [PMID: 38907161 PMCID: PMC11343900 DOI: 10.1007/s00125-024-06183-8] [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: 03/28/2024] [Accepted: 03/29/2024] [Indexed: 06/23/2024]
Abstract
The American Diabetes Association (ADA), European Association for the Study of Diabetes (EASD), Joint British Diabetes Societies for Inpatient Care (JBDS), American Association of Clinical Endocrinology (AACE) and Diabetes Technology Society (DTS) convened a panel of internists and diabetologists to update the ADA consensus statement on hyperglycaemic crises in adults with diabetes, published in 2001 and last updated in 2009. The objective of this consensus report is to provide up-to-date knowledge about the epidemiology, pathophysiology, clinical presentation, and recommendations for the diagnosis, treatment and prevention of diabetic ketoacidosis (DKA) and hyperglycaemic hyperosmolar state (HHS) in adults. A systematic examination of publications since 2009 informed new recommendations. The target audience is the full spectrum of diabetes healthcare professionals and individuals with diabetes.
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Affiliation(s)
- Guillermo E Umpierrez
- Division of Endocrinology, Metabolism, and Lipids, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA.
| | - Georgia M Davis
- Division of Endocrinology, Metabolism, and Lipids, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Nuha A ElSayed
- American Diabetes Association, Arlington, VA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Gian Paolo Fadini
- Department of Medicine, University of Padua, Padua, Italy
- Veneto Institute of Molecular Medicine, Padua, Italy
| | - Rodolfo J Galindo
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Irl B Hirsch
- Division of Metabolism, Endocrinology, and Nutrition, Department of Medicine, University of Washington, Seattle, WA, USA
| | - David C Klonoff
- Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA, USA
| | - Rozalina G McCoy
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- University of Maryland Institute for Health Computing, Bethesda, MD, USA
| | - Shivani Misra
- Division of Metabolism, Digestion & Reproduction, Imperial College London, London, UK
- Department of Diabetes & Endocrinology, Imperial College Healthcare NHS Trust, London, UK
| | - Robert A Gabbay
- American Diabetes Association, Arlington, VA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | | | - Ketan K Dhatariya
- Elsie Bertram Diabetes Centre, Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, UK
- Department of Medicine, Norwich Medical School, University of East Anglia, Norwich, UK
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12
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Viñals C, Conget I, Granados M, Giménez M, Amor AJ. Evaluation of Cardiovascular Risk in People with Type 1 Diabetes: A Comprehensive and Specific Proposed Practical Approach. Diabetes Ther 2024; 15:1831-1844. [PMID: 38976136 PMCID: PMC11263441 DOI: 10.1007/s13300-024-01616-4] [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: 03/25/2024] [Accepted: 06/25/2024] [Indexed: 07/09/2024] Open
Abstract
People living with type 1 diabetes (T1D) have an increased risk of cardiovascular disease (CVD), and it is the leading cause of morbidity and mortality in this population. CVD risk increases with each uncontrolled risk factor, even in individuals with good glycaemic control. Recommendations for assessing CVD risk in the T1D population are extended from those for type 2 diabetes (T2D) even though the physiopathology and underlying mechanisms of atherosclerosis in T1D are poorly understood and differ from those in T2D. Unlike the assessment of microvascular complications, which is well established in T1D, this is far from being the case for the comorbidities and risk associated with CVD. Aside from classical cardiovascular comorbidities, carotid ultrasound can be useful to stratify CVD risk. The utilization of specific risk scales such as the Steno Type 1 Risk Engine can help to more accurately classify cardiovascular risk in these individuals. The cornerstones of the management of cardiovascular risk in T1D are the promotion of the Mediterranean diet, tight glycaemic control (glycated haemoglobin (HbA1c) < 7%), blood pressure < 130/80 mmHg in most patients, and low-density lipoprotein (LDL) cholesterol < 100 mg/dL in moderate-risk individuals, < 70 mg/dL in high-risk individuals, and < 55 mg/dL in very high-risk individuals. Conventional medical follow-up of patients with T1D should be individualized (approximately 2-3 visits per year), and a carotid ultrasound evaluation is recommended every 5 years in the absence of significant preclinical atherosclerosis or more often in those with severe preclinical atherosclerosis. Antithrombotic therapy is recommended in those receiving secondary prevention, those with stenosis > 50% in any arterial bed, and those with an impaired ankle-brachial index. This document is a proposal of a practical approach for the evaluation, classification, and management of CVD risk in individuals living with T1D.
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Affiliation(s)
- Clara Viñals
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic Barcelona, Villarroel 170, 08036, Barcelona, Spain.
| | - Ignacio Conget
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic Barcelona, Villarroel 170, 08036, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Montse Granados
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic Barcelona, Villarroel 170, 08036, Barcelona, Spain
| | - Marga Giménez
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic Barcelona, Villarroel 170, 08036, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Antonio J Amor
- Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic Barcelona, Villarroel 170, 08036, Barcelona, Spain.
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13
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Sterner Isaksson S, Imberg H, Hirsch IB, Schwarcz E, Hellman J, Wijkman M, Bolinder J, Nyström T, Holmer H, Hallström S, Ólafsdóttir AF, Pekkari S, Polonsky W, Lind M. Discordance between mean glucose and time in range in relation to HbA 1c in individuals with type 1 diabetes: results from the GOLD and SILVER trials. Diabetologia 2024; 67:1517-1526. [PMID: 38668761 PMCID: PMC11343832 DOI: 10.1007/s00125-024-06151-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 02/28/2024] [Indexed: 08/24/2024]
Abstract
AIMS/HYPOTHESIS Previous studies have shown that individuals with similar mean glucose levels (MG) or percentage of time in range (TIR) may have different HbA1c values. The aim of this study was to further elucidate how MG and TIR are associated with HbA1c. METHODS Data from the randomised clinical GOLD trial (n=144) and the follow-up SILVER trial (n=98) of adults with type 1 diabetes followed for 2.5 years were analysed. A total of 596 paired HbA1c/continuous glucose monitoring measurements were included. Linear mixed-effects models were used to account for intra-individual correlations in repeated-measures data. RESULTS In the GOLD trial, the mean age of the participants (± SD) was 44±13 years, 63 (44%) were female, and the mean HbA1c (± SD) was 72±9.8 mmol/mol (8.7±0.9%). When correlating MG with HbA1c, MG explained 63% of the variation in HbA1c (r=0.79, p<0.001). The variation in HbA1c explained by MG increased to 88% (r=0.94, p value for improvement of fit <0.001) when accounting for person-to-person variation in the MG-HbA1c relationship. Time below range (TBR; <3.9 mmol/l), time above range (TAR) level 2 (>13.9 mmol/l) and glycaemic variability had little or no effect on the association. For a given MG and TIR, the HbA1c of 10% of individuals deviated by >8 mmol/mol (0.8%) from their estimated HbA1c based on the overall association between MG and TIR with HbA1c. TBR and TAR level 2 significantly influenced the association between TIR and HbA1c. At a given TIR, each 1% increase in TBR was related to a 0.6 mmol/mol lower HbA1c (95% CI 0.4, 0.9; p<0.001), and each 2% increase in TAR level 2 was related to a 0.4 mmol/mol higher HbA1c (95% CI 0.1, 0.6; p=0.003). However, neither TIR, TBR nor TAR level 2 were significantly associated with HbA1c when accounting for MG. CONCLUSIONS/INTERPRETATION Inter-individual variations exist between MG and HbA1c, as well as between TIR and HbA1c, with clinically important deviations in relatively large groups of individuals with type 1 diabetes. These results may provide important information to both healthcare providers and individuals with diabetes in terms of prognosis and when making diabetes management decisions.
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Affiliation(s)
- Sofia Sterner Isaksson
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Medicine, NU Hospital Group, Uddevalla, Sweden
| | - Henrik Imberg
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden
- Statistiska Konsultgruppen, Gothenburg, Sweden
| | - Irl B Hirsch
- University of Washington, School of Medicine, Seattle, WA, USA
| | - Erik Schwarcz
- Department of Internal Medicine, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - Jarl Hellman
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Magnus Wijkman
- Department of Internal Medicine and Department of Health, Medicine and Caring Sciences, Linköping University, Norrköping, Sweden
| | - Jan Bolinder
- Department of Medicine, Karolinska University Hospital Huddinge, Karolinska Institute, Stockholm, Sweden
| | - Thomas Nyström
- Department of Clinical Science and Education, Karolinska Institutet, Södersjukhuset, Stockholm, Sweden
| | - Helene Holmer
- Department of Medicine, Centralsjukhuset, Kristianstad, Sweden
| | - Sara Hallström
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Arndís F Ólafsdóttir
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Sofia Pekkari
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Medicine, NU Hospital Group, Uddevalla, Sweden
| | | | - Marcus Lind
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
- Department of Medicine, NU Hospital Group, Uddevalla, Sweden.
- Department of Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden.
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14
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Anderson KE, Chaiyakunapruk N, Gutierrez EJ, Schmutz HW, Rose MR, Brixner D, McQueen RB. State Out-Of-Pocket Caps On Insulin Costs: No Significant Increase In Claims Or Utilization. Health Aff (Millwood) 2024; 43:1137-1146. [PMID: 39102598 PMCID: PMC11372709 DOI: 10.1377/hlthaff.2024.00118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/07/2024]
Abstract
Nearly all patients with type 1 diabetes and 20-30 percent of patients with type 2 diabetes use insulin to manage glycemic control. Approximately one-quarter of patients who use insulin report underuse because of cost. In response, more than twenty states have implemented monthly caps on insulin out-of-pocket spending, ranging from $25 to $100. Using a difference-in-differences approach, this study evaluated whether state-level caps on insulin out-of-pocket spending change insulin usage among commercially insured enrollees. The study included 33,134 people ages 18-64 who had type 1 diabetes or who used insulin to manage type 2 diabetes with commercial insurance coverage that was subject to state-level oversight and was included in the 25 percent sample of the IQVIA PharMetrics database during 2018-21. Insulin out-of-pocket caps did not significantly increase quarterly insulin claims for enrollees who had type 1 diabetes or who used insulin to manage type 2 diabetes. State-level caps on insulin out-of-pocket spending for commercial enrollees did not significantly increase insulin use; that may be in part because of out-of-pocket expenses being lower than cap amounts.
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Affiliation(s)
- Kelly E Anderson
- Kelly E. Anderson , University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | | | - Eric J Gutierrez
- Eric J. Gutierrez, University of Colorado Anschutz Medical Campus
| | | | - Michael R Rose
- Michael R. Rose, Johns Hopkins University, Baltimore, Maryland
| | | | - R Brett McQueen
- R. Brett McQueen, University of Colorado Anschutz Medical Campus
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Villar-Taibo R, Galdón Sanz-Pastor A, Fernández-Rubio E, Barajas Galindo D, Simó Servat A, Ampudia-Blasco FJ. Are New Ultra-Rapid-Acting Insulins Associated with Improved Glycemic Control and Reduced Hypoglycemia in Comparison to Conventional Rapid-Acting Insulins for Individuals with Type 1 and Type 2 Diabetes? A Systematic Review and Meta-Analysis. Diabetes Technol Ther 2024; 26:575-586. [PMID: 38502158 DOI: 10.1089/dia.2023.0524] [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: 03/20/2024]
Abstract
Introduction: This study aimed to compare efficacy and safety of ultra-rapid-acting insulin analogs (URAIs; faster aspart [FAsp], ultra-rapid lispro [URLi], and technosphere insulin [TI]) with rapid-acting insulin analogs (RAI) in individuals with type 1 (T1D) or type 2 diabetes (T2D). Methods: Searching for randomized control trial comparing the effects of URAI versus RAI that lasted at least 12 weeks, we initially selected 15 studies for analysis. Three studies involving TI were excluded due to a high degree of heterogeneity. The final meta-analysis included only 12 studies with either FAsp or URLi. Results: Mealtime URAI significantly reduced overall early 1 h postprandial glycemia in individuals with T1D (-20.230 mg/dL [95% confidence interval, 95% CI -24.040 to -16.421]; P < 0.001; I2 = 33.42%) and those with T2D (-9.138 mg/dL [95% CI -12.612 to -5.663]; P < 0.001; I2 = 0%). However, the significant reduction in 2 h postprandial glucose remained only in individuals with T1D (-17.620 mg/dL [95% CI -26.047 to -9.193]; P < 0.001; I2 = 65.88%). These benefits were lost when URAI was administered postmeal. At 24-26 weeks, there was no significant difference in HbA1c between groups, but at 52 weeks, a slight reduction in HbA1c with mealtime URAI was observed (-0.080% [95% CI -0.147 to -0.013]; P = 0.019; I2 = 0%). No difference in weight or the rate of severe or confirmed hypoglycemia was observed. Only individuals with T1D showed a small, but significant increase in early 1-h hypoglycemia with URAI (1.468 [95% CI 1.235 to 1.747]; P < 0.001; I2 = 0%). Conclusion: Mealtime URAI improves 1 and 2 h postprandial glycemic control compared to RAI without increasing hypoglycemia or weight gain.
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Affiliation(s)
- Rocío Villar-Taibo
- Endocrinology Department, University Hospital of Santiago de Compostela, Neoplasia and Differentiation of Endocrine Cells Group, Instituto de Investigación Sanitaria-IDIS (Health Research Institute), Santiago de Compostela, Spain
| | - Alba Galdón Sanz-Pastor
- Department of Endocrinology and Nutrition, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Medicine Department, Complutense University of Madrid, Madrid, Spain
| | - Elsa Fernández-Rubio
- Department of Endocrinology and Nutrition, Cruces University Hospital, Barakaldo, Spain
- Biocruces Bizkaia Health Research Institute, Barakaldo, Spain
| | - David Barajas Galindo
- Section of Endocrinology and Nutrition, Complejo Asistencial Universitario de León, León, Spain
| | | | - Francisco Javier Ampudia-Blasco
- Department of Endocrinology and Nutrition, Hospital Clínico Universitario de Valencia, Valencia, Spain
- INCLIVA Research Foundation, Valencia, Spain
- CIBERDEM, Madrid, Spain
- Department of Medicine, Universitat de Valencia, Valencia, Spain
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Phillip M, Achenbach P, Addala A, Albanese-O'Neill A, Battelino T, Bell KJ, Besser REJ, Bonifacio E, Colhoun HM, Couper JJ, Craig ME, Danne T, de Beaufort C, Dovc K, Driscoll KA, Dutta S, Ebekozien O, Elding Larsson H, Feiten DJ, Frohnert BI, Gabbay RA, Gallagher MP, Greenbaum CJ, Griffin KJ, Hagopian W, Haller MJ, Hendrieckx C, Hendriks E, Holt RIG, Hughes L, Ismail HM, Jacobsen LM, Johnson SB, Kolb LE, Kordonouri O, Lange K, Lash RW, Lernmark Å, Libman I, Lundgren M, Maahs DM, Marcovecchio ML, Mathieu C, Miller KM, O'Donnell HK, Oron T, Patil SP, Pop-Busui R, Rewers MJ, Rich SS, Schatz DA, Schulman-Rosenbaum R, Simmons KM, Sims EK, Skyler JS, Smith LB, Speake C, Steck AK, Thomas NPB, Tonyushkina KN, Veijola R, Wentworth JM, Wherrett DK, Wood JR, Ziegler AG, DiMeglio LA. Consensus Guidance for Monitoring Individuals With Islet Autoantibody-Positive Pre-Stage 3 Type 1 Diabetes. Diabetes Care 2024; 47:1276-1298. [PMID: 38912694 PMCID: PMC11381572 DOI: 10.2337/dci24-0042] [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] [Received: 05/07/2024] [Accepted: 05/09/2024] [Indexed: 06/25/2024]
Abstract
Given the proven benefits of screening to reduce diabetic ketoacidosis (DKA) likelihood at the time of stage 3 type 1 diabetes diagnosis, and emerging availability of therapy to delay disease progression, type 1 diabetes screening programs are being increasingly emphasized. Once broadly implemented, screening initiatives will identify significant numbers of islet autoantibody-positive (IAb+) children and adults who are at risk for (confirmed single IAb+) or living with (multiple IAb+) early-stage (stage 1 and stage 2) type 1 diabetes. These individuals will need monitoring for disease progression; much of this care will happen in nonspecialized settings. To inform this monitoring, JDRF, in conjunction with international experts and societies, developed consensus guidance. Broad advice from this guidance includes the following: 1) partnerships should be fostered between endocrinologists and primary care providers to care for people who are IAb+; 2) when people who are IAb+ are initially identified, there is a need for confirmation using a second sample; 3) single IAb+ individuals are at lower risk of progression than multiple IAb+ individuals; 4) individuals with early-stage type 1 diabetes should have periodic medical monitoring, including regular assessments of glucose levels, regular education about symptoms of diabetes and DKA, and psychosocial support; 5) interested people with stage 2 type 1 diabetes should be offered trial participation or approved therapies; and 6) all health professionals involved in monitoring and care of individuals with type 1 diabetes have a responsibility to provide education. The guidance also emphasizes significant unmet needs for further research on early-stage type 1 diabetes to increase the rigor of future recommendations and inform clinical care.
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Affiliation(s)
- Moshe Phillip
- Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
- Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Peter Achenbach
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Forschergruppe Diabetes, Technical University Munich, Klinikum Rechts Der Isar, Munich, Germany
| | - Ananta Addala
- Division of Endocrinology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA
- Stanford Diabetes Research Center, Stanford University School of Medicine, Stanford, CA
| | | | - Tadej Battelino
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
- Department of Endocrinology, Diabetes and Metabolism, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Kirstine J Bell
- Charles Perkins Centre and Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Rachel E J Besser
- JDRF/Wellcome Diabetes and Inflammation Laboratory, Wellcome Centre Human Genetics, Nuffield Department of Medicine Oxford National Institute for Health and Care Research Biomedical Research Centre, University of Oxford, Oxford, U.K
- Department of Paediatrics, University of Oxford, Oxford, U.K
| | - Ezio Bonifacio
- Center for Regenerative Therapies Dresden, Faculty of Medicine, Technical University of Dresden, Dresden, Germany
- Paul Langerhans Institute Dresden, Helmholtz Centre Munich at the University Clinic Carl Gustav Carus of Technical University of Dresden, and Faculty of Medicine, Technical University of Dresden, Dresden, Germany
| | - Helen M Colhoun
- The Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, U.K
- Department of Public Health, NHS Fife, Kirkcaldy, U.K
| | - Jennifer J Couper
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
- Division of Paediatrics, Women's and Children's Hospital, Adelaide, South Australia, Australia
| | - Maria E Craig
- Charles Perkins Centre and Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- Discipline of Paediatrics & Child Health, School of Clinical Medicine, UNSW Medicine & Health, Sydney, New South Wales, Australia
| | | | - Carine de Beaufort
- International Society for Pediatric and Adolescent Diabetes (ISPAD), Berlin, Germany
- Diabetes & Endocrine Care Clinique Pédiatrique (DECCP), Clinique Pédiatrique/Centre Hospitalier (CH) de Luxembourg, Luxembourg City, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-Belval, Luxembourg
| | - Klemen Dovc
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
- Department of Endocrinology, Diabetes and Metabolism, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Kimberly A Driscoll
- Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL
- Department of Pediatrics, University of Florida Diabetes Institute, Gainesville, FL
| | | | | | - Helena Elding Larsson
- Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
- Department of Pediatrics, Skåne University Hospital, Malmö and Lund, Sweden
| | | | - Brigitte I Frohnert
- Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO
| | | | | | - Carla J Greenbaum
- Center for Interventional Immunology and Diabetes Program, Benaroya Research Institute, Seattle, WA
| | - Kurt J Griffin
- Sanford Research, Sioux Falls, SD
- Department of Pediatrics, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD
| | - William Hagopian
- Pacific Northwest Diabetes Research Institute, University of Washington, Seattle, WA
| | - Michael J Haller
- Department of Pediatrics, University of Florida Diabetes Institute, Gainesville, FL
- Division of Endocrinology, University of Florida College of Medicine, Gainesville, FL
| | - Christel Hendrieckx
- School of Psychology, Deakin University, Geelong, Victoria, Australia
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Carlton, Victoria, Australia
- Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia
| | - Emile Hendriks
- Department of Paediatrics, University of Cambridge and Cambridge University Hospitals NHS Foundation Trust, Cambridge, U.K
| | - Richard I G Holt
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, U.K
- National Institute for Health and Care Research Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton, U.K
| | | | - Heba M Ismail
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN
| | - Laura M Jacobsen
- Division of Endocrinology, University of Florida College of Medicine, Gainesville, FL
| | - Suzanne B Johnson
- Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Tallahassee, FL
| | - Leslie E Kolb
- Association of Diabetes Care & Education Specialists, Chicago, IL
| | | | - Karin Lange
- Medical Psychology, Hannover Medical School, Hannover, Germany
| | | | - Åke Lernmark
- Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
| | - Ingrid Libman
- Division of Pediatric Endocrinology and Diabetes, University of Pittsburgh, University of Pittsburgh Medical Center Children's Hospital of Pittsburgh, PA
| | - Markus Lundgren
- Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
- Department of Pediatrics, Kristianstad Hospital, Kristianstad, Sweden
| | - David M Maahs
- Division of Endocrinology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA
| | - M Loredana Marcovecchio
- Department of Pediatrics, Cambridge University Hospitals NHS Foundation Trust, Cambridge, U.K
| | - Chantal Mathieu
- Department of Endocrinology, UZ Gasthuisberg, KU Leuven, Leuven, Belgium
| | | | - Holly K O'Donnell
- Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Tal Oron
- Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
- Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Shivajirao P Patil
- Department of Family Medicine, Brody School of Medicine, East Carolina University, Greenville, NC
| | - Rodica Pop-Busui
- Department of Internal Medicine, Division of Metabolism, Endocrinology and Diabetes, University of Michigan, Ann Arbor, MI
| | - Marian J Rewers
- Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA
| | - Desmond A Schatz
- Department of Pediatrics, University of Florida, Gainesville, FL
| | - Rifka Schulman-Rosenbaum
- Division of Endocrinology, Long Island Jewish Medical Center, Northwell Health, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New Hyde Park, NY
| | - Kimber M Simmons
- Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Emily K Sims
- Division of Pediatric Endocrinology and Diabetology, Herman B Wells Center for Pediatric Research, Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN
| | - Jay S Skyler
- Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL
| | - Laura B Smith
- Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Cate Speake
- Center for Interventional Immunology and Diabetes Program, Benaroya Research Institute, Seattle, WA
| | - Andrea K Steck
- Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Nicholas P B Thomas
- National Institute of Health and Care Research Clinical Research Network Thames Valley and South Midlands, Oxford, U.K
| | - Ksenia N Tonyushkina
- Division of Endocrinology and Diabetes, Baystate Children's Hospital and University of Massachusetts Chan Medical School-Baystate, Springfield, MA
| | - Riitta Veijola
- Research Unit of Clinical Medicine, Department of Pediatrics, Medical Research Center, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - John M Wentworth
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- Department of Diabetes and Endocrinology, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Diane K Wherrett
- Department of Paediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Jamie R Wood
- Department of Pediatric Endocrinology, Rainbow Babies and Children's Hospital, University Hospitals Cleveland Medical Center, Cleveland, OH
| | - Anette-Gabriele Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Forschergruppe Diabetes, Technical University Munich, Klinikum Rechts Der Isar, Munich, Germany
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Dalle S, Abderrahmani A. Receptors and Signaling Pathways Controlling Beta-Cell Function and Survival as Targets for Anti-Diabetic Therapeutic Strategies. Cells 2024; 13:1244. [PMID: 39120275 PMCID: PMC11311556 DOI: 10.3390/cells13151244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2024] [Revised: 07/19/2024] [Accepted: 07/21/2024] [Indexed: 08/10/2024] Open
Abstract
Preserving the function and survival of pancreatic beta-cells, in order to achieve long-term glycemic control and prevent complications, is an essential feature for an innovative drug to have clinical value in the treatment of diabetes. Innovative research is developing therapeutic strategies to prevent pathogenic mechanisms and protect beta-cells from the deleterious effects of inflammation and/or chronic hyperglycemia over time. A better understanding of receptors and signaling pathways, and of how they interact with each other in beta-cells, remains crucial and is a prerequisite for any strategy to develop therapeutic tools aimed at modulating beta-cell function and/or mass. Here, we present a comprehensive review of our knowledge on membrane and intracellular receptors and signaling pathways as targets of interest to protect beta-cells from dysfunction and apoptotic death, which opens or could open the way to the development of innovative therapies for diabetes.
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Affiliation(s)
- Stéphane Dalle
- Institut de Génomique Fonctionnelle, Université de Montpellier, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM), 34094 Montpellier, France
| | - Amar Abderrahmani
- Université Lille, Centre National de la Recherche Scientifique (CNRS), Centrale Lille, Université Polytechnique Hauts-de-France, UMR 8520, IEMN, F59000 Lille, France
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18
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Secco K, Baumann PM, Pöttler T, Aberer F, Cigler M, Elsayed H, Harer CM, Weitgasser R, Schütz-Fuhrmann I, Mader JK. Glycemic Control Assessed by Intermittently Scanned Glucose Monitoring in Type 1 Diabetes during the COVID-19 Pandemic in Austria. SENSORS (BASEL, SWITZERLAND) 2024; 24:4514. [PMID: 39065912 PMCID: PMC11280813 DOI: 10.3390/s24144514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Revised: 07/09/2024] [Accepted: 07/10/2024] [Indexed: 07/28/2024]
Abstract
OBJECTIVE The aim of this analysis was to assess glycemic control before and during the coronavirus disease (COVID-19) pandemic. METHODS Data from 64 (main analysis) and 80 (sensitivity analysis) people with type 1 diabetes (T1D) using intermittently scanned continuous glucose monitoring (isCGM) were investigated retrospectively. The baseline characteristics were collected from electronic medical records. The data were examined over three periods of three months each: from 16th of March 2019 until 16th of June 2019 (pre-pandemic), from 1st of December 2019 until 29th of February 2020 (pre-lockdown) and from 16th of March 2020 until 16th of June 2020 (lockdown 2020), representing the very beginning of the COVID-19 pandemic and the first Austrian-wide lockdown. RESULTS For the main analysis, 64 individuals with T1D (22 female, 42 male), who had a mean glycated hemoglobin (HbA1c) of 58.5 mmol/mol (51.0 to 69.3 mmol/mol) and a mean diabetes duration 13.5 years (5.5 to 22.0 years) were included in the analysis. The time in range (TIR[70-180mg/dL]) was the highest percentage of measures within all three studied phases, but the lockdown 2020 phase delivered the best data in all these cases. Concerning the time below range (TBR[<70mg/dL]) and the time above range (TAR[>180mg/dL]), the lockdown 2020 phase also had the best values. Regarding the sensitivity analysis, 80 individuals with T1D (26 female, 54 male), who had a mean HbA1c of 57.5 mmol/mol (51.0 to 69.3 mmol/mol) and a mean diabetes duration of 12.5 years (5.5 to 20.7 years), were included. The TIR[70-180mg/dL] was also the highest percentage of measures within all three studied phases, with the lockdown 2020 phase also delivering the best data in all these cases. The TBR[<70mg/dL] and the TAR[>180mg/dL] underscored the data in the main analysis. CONCLUSION Superior glycemic control, based on all parameters analyzed, was achieved during the first Austrian-wide lockdown compared to prior periods, which might be a result of reduced daily exertion or more time spent focusing on glycemic management.
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Affiliation(s)
- Katharina Secco
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Auenbruggerplatz 15, 8036 Graz, Austria; (K.S.); (P.M.B.); (T.P.); (F.A.); (M.C.); (H.E.); (C.M.H.)
| | - Petra Martina Baumann
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Auenbruggerplatz 15, 8036 Graz, Austria; (K.S.); (P.M.B.); (T.P.); (F.A.); (M.C.); (H.E.); (C.M.H.)
| | - Tina Pöttler
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Auenbruggerplatz 15, 8036 Graz, Austria; (K.S.); (P.M.B.); (T.P.); (F.A.); (M.C.); (H.E.); (C.M.H.)
| | - Felix Aberer
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Auenbruggerplatz 15, 8036 Graz, Austria; (K.S.); (P.M.B.); (T.P.); (F.A.); (M.C.); (H.E.); (C.M.H.)
| | - Monika Cigler
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Auenbruggerplatz 15, 8036 Graz, Austria; (K.S.); (P.M.B.); (T.P.); (F.A.); (M.C.); (H.E.); (C.M.H.)
| | - Hesham Elsayed
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Auenbruggerplatz 15, 8036 Graz, Austria; (K.S.); (P.M.B.); (T.P.); (F.A.); (M.C.); (H.E.); (C.M.H.)
| | - Clemens Martin Harer
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Auenbruggerplatz 15, 8036 Graz, Austria; (K.S.); (P.M.B.); (T.P.); (F.A.); (M.C.); (H.E.); (C.M.H.)
| | - Raimund Weitgasser
- Department of Internal Medicine and Diabetology, Private Clinic Wehrle-Diakonissen, 5026 Salzburg, Austria;
| | - Ingrid Schütz-Fuhrmann
- 3rd Medical Division for Metabolic Diseases and Nephrology, Hospital Hietzing, 1130 Vienna, Austria;
- Institute for Metabolic Diseases and Nephrology, Karl-Landsteiner Institute, 1130 Vienna, Austria
| | - Julia Katharina Mader
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Auenbruggerplatz 15, 8036 Graz, Austria; (K.S.); (P.M.B.); (T.P.); (F.A.); (M.C.); (H.E.); (C.M.H.)
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Amorim D, Miranda F, Santos A, Graça L, Rodrigues J, Rocha M, Pereira MA, Sousa C, Felgueiras P, Abreu C. Assessing Carbohydrate Counting Accuracy: Current Limitations and Future Directions. Nutrients 2024; 16:2183. [PMID: 39064626 PMCID: PMC11279647 DOI: 10.3390/nu16142183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Revised: 06/25/2024] [Accepted: 07/05/2024] [Indexed: 07/28/2024] Open
Abstract
Diabetes mellitus is a prevalent chronic autoimmune disease with a high impact on global health, affecting millions of adults and resulting in significant morbidity and mortality. Achieving optimal blood glucose levels is crucial for diabetes management to prevent acute and long-term complications. Carbohydrate counting (CC) is widely used by patients with type 1 diabetes to adjust prandial insulin bolus doses based on estimated carbohydrate content, contributing to better glycemic control and improved quality of life. However, accurately estimating the carbohydrate content of meals remains challenging for patients, leading to errors in bolus insulin dosing. This review explores the current limitations and challenges in CC accuracy and emphasizes the importance of personalized educational programs to enhance patients' abilities in carbohydrate estimation. Existing tools for assessing patient learning outcomes in CC are discussed, highlighting the need for individualized approaches tailored to each patient's needs. A comprehensive review of the relevant literature was conducted to identify educational programs and assessment tools dedicated to training diabetes patients on carbohydrate counting. The research aims to provide insights into the benefits and limitations of existing tools and identifies future research directions to advance personalized CC training approaches. By adopting a personalized approach to CC education and assessment, healthcare professionals can empower patients to achieve better glycemic control and improve diabetes management. Moreover, this review identifies potential avenues for future research, paving the way for advancements in personalized CC training and assessment approaches and further enhancing diabetes management strategies.
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Affiliation(s)
- Débora Amorim
- Applied Digital Transformation Laboratory (Adit-LAB), Polytechnic Institute of Viana do Castelo, Rua Escola Industrial e Comercial de Nun’Álvares, 4900-347 Viana do Castelo, Portugal;
| | - Francisco Miranda
- Polytechnic Institute of Viana do Castelo, Rua Escola Industrial e Comercial de Nun’Álvares, 4900-347 Viana do Castelo, Portugal;
- Center for Research and Development in Mathematics and Applications (CIDMA), Department of Mathematics, University of Aveiro, 3810-193 Aveiro, Portugal
- proMetheus, Polytechnic Institute of Viana do Castelo, Rua Escola Industrial e Comercial de Nun’Álvares, 4900-347 Viana do Castelo, Portugal
| | - Andreia Santos
- School of Health of the Polytechnic Institute of Viana do Castelo, Rua Escola Industrial e Comercial de Nun’Alvares, 4900-347 Viana do Castelo, Portugal; (A.S.); (P.F.)
| | - Luís Graça
- Health Sciences Research Unit: Nursing (UICISA: E), School of Health of the Polytechnic Institute of Viana do Castelo, Rua Escola Industrial e Comercial de Nun’Alvares, 4900-347 Viana do Castelo, Portugal; (L.G.); (M.R.); (M.A.P.); (C.S.)
| | - João Rodrigues
- Center for Translational Health and Medical Biotechnology Research (TBIO)/Health Research Network (RISE-Health), School of Health of the Polytechnic Institute of Porto, Rua Dr. António Bernardino de Almeida 400, 4200-072 Porto, Portugal;
| | - Mara Rocha
- Health Sciences Research Unit: Nursing (UICISA: E), School of Health of the Polytechnic Institute of Viana do Castelo, Rua Escola Industrial e Comercial de Nun’Alvares, 4900-347 Viana do Castelo, Portugal; (L.G.); (M.R.); (M.A.P.); (C.S.)
| | - Maria Aurora Pereira
- Health Sciences Research Unit: Nursing (UICISA: E), School of Health of the Polytechnic Institute of Viana do Castelo, Rua Escola Industrial e Comercial de Nun’Alvares, 4900-347 Viana do Castelo, Portugal; (L.G.); (M.R.); (M.A.P.); (C.S.)
| | - Clementina Sousa
- Health Sciences Research Unit: Nursing (UICISA: E), School of Health of the Polytechnic Institute of Viana do Castelo, Rua Escola Industrial e Comercial de Nun’Alvares, 4900-347 Viana do Castelo, Portugal; (L.G.); (M.R.); (M.A.P.); (C.S.)
| | - Paula Felgueiras
- School of Health of the Polytechnic Institute of Viana do Castelo, Rua Escola Industrial e Comercial de Nun’Alvares, 4900-347 Viana do Castelo, Portugal; (A.S.); (P.F.)
| | - Carlos Abreu
- Applied Digital Transformation Laboratory (Adit-LAB), Polytechnic Institute of Viana do Castelo, Rua Escola Industrial e Comercial de Nun’Álvares, 4900-347 Viana do Castelo, Portugal;
- Polytechnic Institute of Viana do Castelo, Rua Escola Industrial e Comercial de Nun’Álvares, 4900-347 Viana do Castelo, Portugal;
- Center for MicroElectroMechanical Systems (CMEMS-UMINHO), University of Minho, Campus Azurém, 4800-058 Guimarães, Portugal
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Kim JY, Jin SM, Kang ES, Kwak SH, Yang Y, Yoo JH, Bae JH, Moon JS, Jung CH, Bae JC, Suh S, Moon SJ, Song SO, Chon S, Kim JH. Comparison between a tubeless, on-body automated insulin delivery system and a tubeless, on-body sensor-augmented pump in type 1 diabetes: a multicentre randomised controlled trial. Diabetologia 2024; 67:1235-1244. [PMID: 38634887 DOI: 10.1007/s00125-024-06155-y] [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: 12/31/2023] [Accepted: 03/05/2024] [Indexed: 04/19/2024]
Abstract
AIMS/HYPOTHESIS This study compares the efficacy and safety of a tubeless, on-body automated insulin delivery (AID) system with that of a tubeless, on-body sensor-augmented pump (SAP). METHODS This multicentre, parallel-group, RCT was conducted at 13 tertiary medical centres in South Korea. Adults aged 19-69 years with type 1 diabetes who had HbA1c levels of <85.8 mmol/mol (<10.0%) were eligible. The participants were assigned at a 1:1 ratio to receive a tubeless, on-body AID system (intervention group) or a tubeless, on-body SAP (control group) for 12 weeks. Stratified block randomisation was conducted by an independent statistician. Blinding was not possible due to the nature of the intervention. The primary outcome was the percentage of time in range (TIR), blood glucose between 3.9 and 10.0 mmol/l, as measured by continuous glucose monitoring. ANCOVAs were conducted with baseline values and study centres as covariates. RESULTS A total of 104 participants underwent randomisation, with 53 in the intervention group and 51 in the control group. The mean (±SD) age of the participants was 40±11 years. The mean (±SD) TIR increased from 62.1±17.1% at baseline to 71.5±10.7% over the 12 week trial period in the intervention group and from 64.7±17.0% to 66.9±15.0% in the control group (difference between the adjusted means: 6.5% [95% CI 3.6%, 9.4%], p<0.001). Time below range, time above range, CV and mean glucose levels were also significantly better in the intervention group compared with the control group. HbA1c decreased from 50.9±9.9 mmol/mol (6.8±0.9%) at baseline to 45.9±7.4 mmol/mol (6.4±0.7%) after 12 weeks in the intervention group and from 48.7±9.1 mmol/mol (6.6±0.8%) to 45.7±7.5 mmol/mol (6.3±0.7%) in the control group (difference between the adjusted means: -0.7 mmol/mol [95% CI -2.0, 0.8 mmol/mol] (-0.1% [95% CI -0.2%, 0.1%]), p=0.366). No diabetic ketoacidosis or severe hypoglycaemia events occurred in either group. CONCLUSIONS/INTERPRETATION The use of a tubeless, on-body AID system was safe and associated with superior glycaemic profiles, including TIR, time below range, time above range and CV, than the use of a tubeless, on-body SAP. TRIAL REGISTRATION Clinical Research Information Service (CRIS) KCT0008398 FUNDING: The study was funded by a grant from the Korea Medical Device Development Fund supported by the Ministry of Science and ICT; the Ministry of Trade, Industry and Energy; the Ministry of Health and Welfare; and the Ministry of Food and Drug Safety (grant number: RS-2020-KD000056).
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Affiliation(s)
- Ji Yoon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Sang-Man Jin
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Eun Seok Kang
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Soo Heon Kwak
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yeoree Yang
- Division of Endocrinology, Department of Internal Medicine, Seoul St Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jee Hee Yoo
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea
| | - Jae Hyun Bae
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Jun Sung Moon
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeungnam University College of Medicine, Daegu, Republic of Korea
| | - Chang Hee Jung
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Ji Cheol Bae
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Republic of Korea
| | - Sunghwan Suh
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Republic of Korea
| | - Sun Joon Moon
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Sun Ok Song
- Division of Endocrinology and Metabolism, Department of Internal Medicine, National Health Insurance Service Ilsan Hospital, Goyang, Republic of Korea
| | - Suk Chon
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Jae Hyeon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
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Ishii H, Maeda Y, Sato M, Cai Z, Imori M. Therapy-Related Satisfaction and Quality of Life for Japanese People with Diabetes Using Rapid-Acting Insulin Analogs: A Web-Based Survey. Diabetes Ther 2024; 15:1577-1595. [PMID: 38760595 PMCID: PMC11211310 DOI: 10.1007/s13300-024-01584-9] [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: 11/14/2023] [Accepted: 03/15/2024] [Indexed: 05/19/2024] Open
Abstract
INTRODUCTION People with diabetes require insulin to regulate blood glucose (BG); rapid-acting insulin analogs (RAIA) represent one approach for BG management. New fast-acting RAIA administered at the start of a meal suppress postprandial BG better than conventional RAIA. New RAIA are expected to confer higher treatment satisfaction and improved quality of life (QOL) than conventional RAIA. METHODS This cross-sectional, web-based survey in Japan (November 2022) included people with diabetes (type 1/2), aged ≥ 18 years, registered in the Rakuten Insight Diabetes Panel, using new and/or conventional RAIA. RAIA-specific satisfaction was evaluated by questions on RAIA use (scores: 1 [not at all satisfied]; 7 [very satisfied]) and QOL by the Diabetes Therapy-Related (DTR)-QOL questionnaire (scores: 0-100, 100 = best) for the whole population (primary endpoint) and for new versus conventional RAIA users (secondary endpoint). Multiple regression models were used to compare new versus conventional RAIA users. RESULTS The analysis population comprised 217 people with diabetes (new RAIA, n = 109; conventional RAIA, n = 108). Mean (standard deviation) RAIA-specific satisfaction scores ranged from 5.1 (1.2) to 5.4 (1.2); DTR-QOL total score was 51.6 (20.4). RAIA satisfaction scores were numerically higher for new versus conventional RAIA users; no difference in DTR-QOL total score was observed. DTR-QOL satisfaction with treatment domain score was significantly higher in new versus conventional RAIA users (least squares mean difference [standard error]: 7.3 [3.1]; 95% confidence interval: 1.2, 13.4; P = 0.0197). RAIA-specific satisfaction was higher among patients who discussed BG sufficiently with their doctor versus those who did not. CONCLUSIONS New RAIA users have greater treatment satisfaction than conventional RAIA users. QOL was similar among new and conventional RAIA users, except for satisfaction with treatment, which was significantly higher among new RAIA users. Detailed explanations from the doctor to the person with diabetes about the relationship between new RAIA and BG status are essential. A graphical plain language summary is available with this article.
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Affiliation(s)
- Hitoshi Ishii
- Department of Doctor-Patient Relationships, Nara Medical University, Nara, Japan
| | | | - Manaka Sato
- Japan Drug Development & Medical Affairs, Eli Lilly Japan K.K., Lilly Plaza One Bldg., 5-1-28, Isogamidori, Chuo-ku, Kobe, 651-0086, Japan.
| | - Zhihong Cai
- Japan Drug Development & Medical Affairs, Eli Lilly Japan K.K., Lilly Plaza One Bldg., 5-1-28, Isogamidori, Chuo-ku, Kobe, 651-0086, Japan
| | - Makoto Imori
- Japan Drug Development & Medical Affairs, Eli Lilly Japan K.K., Lilly Plaza One Bldg., 5-1-28, Isogamidori, Chuo-ku, Kobe, 651-0086, Japan
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22
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Russell-Jones D, Bailey TS, Lane W, Mathieu C, Pedersen-Bjergaard U. Frequency of hypoglycaemia with basal insulin treatments in adults with type 1 diabetes treated with basal-bolus insulin regimens in treat-to-target trials: A narrative review. Diabet Med 2024; 41:e15339. [PMID: 38679910 DOI: 10.1111/dme.15339] [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: 11/27/2023] [Revised: 04/12/2024] [Accepted: 04/16/2024] [Indexed: 05/01/2024]
Abstract
AIM To summarise, in a narrative review, published data on hypoglycaemia occurrence with basal insulin therapy in adults with type 1 diabetes treated with basal-bolus insulin regimens in treat-to-target randomised controlled trials. METHODS Data were included from 21 eligible trials, which mainly used self-measured blood glucose or plasma glucose to detect hypoglycaemia. RESULTS All-day self-measured blood glucose or plasma glucose level 2 (glucose threshold of 3.1 or 3.0 mmol/L) and level 3 (severe, requiring assistance) hypoglycaemic events were reported, respectively, by a range of 69.0%-97.5% and 0%-13.4% adults when receiving basal-bolus insulin therapy, with rates of 10.6-68.1 and 0.0-0.4 events per patient-year of exposure, respectively. Hypoglycaemia rates measured using continuous glucose monitoring (three studies) were numerically, yet consistently, higher than with either other method, except when limiting to symptomatic events. Nocturnal hypoglycaemia rates were generally less than 30% of the equivalent all-day rates. CONCLUSIONS Differences across the studies in design (e.g., titration targets) and participant characteristics hindered comparison of hypoglycaemia rates by insulin formulation. Consequently, few trends were identified by insulin formulation, study methodology or individuals' characteristics, suggesting that further research is required to identify treatment strategies that facilitate development of individualised recommendations to lower hypoglycaemia risk. These findings are useful to understand hypoglycaemia risk with available basal insulin therapies when used in a multiple daily injection regimen, as well as to provide context for the results of ongoing and future clinical trials, including those for two once-weekly basal insulins, insulin icodec and basal insulin Fc.
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Affiliation(s)
- David Russell-Jones
- The Cedar Centre, Royal Surrey NHS Foundation Trust, Guildford, UK
- Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
| | - Timothy S Bailey
- Endocrinology and Metabolism Institute, AMCR Institute, Escondido, California, USA
| | - Wendy Lane
- Mountain Diabetes/Asheville Clinical Research, Asheville, North Carolina, USA
| | - Chantal Mathieu
- Clinical and Experimental Endocrinology, University of Leuven, Leuven, Belgium
| | - Ulrik Pedersen-Bjergaard
- Department of Endocrinology and Nephrology, Nordsjællands Hospital Hillerød, University of Copenhagen, Hillerød, Denmark
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23
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Dalle S. Targeting Protein Kinases to Protect Beta-Cell Function and Survival in Diabetes. Int J Mol Sci 2024; 25:6425. [PMID: 38928130 PMCID: PMC11203834 DOI: 10.3390/ijms25126425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 05/30/2024] [Accepted: 05/31/2024] [Indexed: 06/28/2024] Open
Abstract
The prevalence of diabetes is increasing worldwide. Massive death of pancreatic beta-cells causes type 1 diabetes. Progressive loss of beta-cell function and mass characterizes type 2 diabetes. To date, none of the available antidiabetic drugs promotes the maintenance of a functional mass of endogenous beta-cells, revealing an unmet medical need. Dysfunction and apoptotic death of beta-cells occur, in particular, through the activation of intracellular protein kinases. In recent years, protein kinases have become highly studied targets of the pharmaceutical industry for drug development. A number of drugs that inhibit protein kinases have been approved for the treatment of cancers. The question of whether safe drugs that inhibit protein kinase activity can be developed and used to protect the function and survival of beta-cells in diabetes is still unresolved. This review presents arguments suggesting that several protein kinases in beta-cells may represent targets of interest for the development of drugs to treat diabetes.
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Affiliation(s)
- Stéphane Dalle
- Institut de Génomique Fonctionnelle, Université de Montpellier, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM), 34094 Montpellier, France
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24
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Neuman V, Plachy L, Pruhova S, Sumnik Z. Dietary Components in the Pathogenesis and Prevention of Type 1 Diabetes in Children. Horm Res Paediatr 2024:1-11. [PMID: 38838652 DOI: 10.1159/000539575] [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: 03/02/2024] [Accepted: 05/26/2024] [Indexed: 06/07/2024] Open
Abstract
BACKGROUND Type 1 diabetes (T1D) is a disease closely linked to nutrition and modifications in various dietary components have been part of the effort to prevent or slow the progression of the disease even before the discovery of insulin. SUMMARY The scientific focus in the prevention or progression modification of T1D is mostly centered on four dietary compounds and their modifications - gluten and its omission, vitamin D supplementation, omega-3 fatty acids supplementation, and decreasing of the amount of ingested carbohydrates. The aim of this narrative review was to provide an overview of nutritional interventions studied in children either as preventive methods or as modifiers in the early stages of T1D from autoantibody positive individuals to persons with newly diagnosed T1D. KEY MESSAGES Our review shows that dietary modifications in various dietary components might be useful but none of them seems to provide universal effects in T1D prevention or progression modification. More research is therefore needed with focus on promising modes of action of individual dietary components.
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Affiliation(s)
- Vit Neuman
- Department of Pediatrics, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia
| | - Lukas Plachy
- Department of Pediatrics, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia
| | - Stepanka Pruhova
- Department of Pediatrics, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia
| | - Zdenek Sumnik
- Department of Pediatrics, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia
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25
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Mennini FS, Sciattella P, Marcellusi A, Bartolini F, Bernardi FF, Levrat-Guillen F, Cozzolino M, Di Gennaro M, Giordana R, Giustozzi M, Trama U. An Analysis of the Distribution of Direct Cost of Diabetes Care in Selected Districts in Italy. Diabetes Ther 2024; 15:1417-1434. [PMID: 38668998 PMCID: PMC11096296 DOI: 10.1007/s13300-024-01580-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 03/27/2024] [Indexed: 05/16/2024] Open
Abstract
INTRODUCTION This study aims to define the distribution of direct healthcare costs for people with diabetes treated in two healthcare regions in Italy, based on number of comorbidities and treatment regimen. METHODS This was a retrospective analysis using data from two local health authority administrative databases (Campania and Umbria) in Italy for the years 2014-2018. Data on hospital care, pharmaceutical and specialist outpatient and laboratory assistance were collected. All people with diabetes in 2014-2018 were identified on the basis of at least one prescription of hypoglycemic drugs (ATC A10), hospitalization with primary or secondary diagnosis of diabetes mellitus (ICD9CM 250.xx) or diabetes exemption code (code 013). Subjects were stratified into three groups according to their pharmaceutical prescriptions during the year: Type 1/type 2 diabetes (T1D/T2D) treated with multiple daily injections with insulin (MDI), type 2 diabetes on basal insulin only (T2D-Basal) and type 2 diabetes not on insulin therapy (T2D-Oral). RESULTS We identified 304,779 people with diabetes during the period for which data was obtained. Analysis was undertaken on 288,097 subjects treated with glucose-lowering drugs (13% T1D/T2D-MDI, 13% T2D-Basal, 74% T2D-Oral). Average annual cost per patient for the year 2018 across the total cohort was similar for people with T1D/T2D-MDI and people with T2D-Basal (respectively €2580 and €2254) and significantly lower for T2D-Oral (€1145). Cost of hospitalization was the main driver (47% for T1D/T2D-MDI, 45% for T2D-Basal, 45% for T2D-Oral) followed by drugs/devices (35%, 39%, 43%) and outpatient services (18%, 16%, 12%). Average costs increased considerably with increasing comorbidities: from €459 with diabetes only to €7464 for a patient with four comorbidities. Similar trends were found across all subgroups analysis. CONCLUSION Annual cost of treatment for people with diabetes is similar for those treated with MDI or with basal insulin only, with hospitalization being the main cost driver. This indicates that both patient groups should benefit from having access to scanning continuous glucose monitoring (CGM) technology which is known to be associated with significantly reduced hospitalization for acute diabetes events, compared to self-monitored blood glucose (SMBG) testing.
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Affiliation(s)
- Francesco Saverio Mennini
- Economic Evaluation and HTA (EEHTA), CEIS, DEF, Faculty of Economics, University of Rome "Tor Vergata", Rome, Italy.
- Department of Accounting and Finance, Kingston University, London, UK.
| | - Paolo Sciattella
- Economic Evaluation and HTA (EEHTA), CEIS, DEF, Faculty of Economics, University of Rome "Tor Vergata", Rome, Italy
- Statistical Department, "Sapienza" University of Rome, Rome, Italy
| | - Andrea Marcellusi
- Economic Evaluation and HTA (EEHTA), CEIS, DEF, Faculty of Economics, University of Rome "Tor Vergata", Rome, Italy
| | - Fausto Bartolini
- Pharmaceutical Department, Local Health Unit Umbria 2, Terni, Italy
| | - Francesca Futura Bernardi
- Regional Pharmaceutical Unit, Campania Region, 80143, Naples, Italy
- Department of Experimental Medicine, Università degli studi della Campania "Luigi Vanvitelli", Naples, Italy
| | | | | | | | - Roberta Giordana
- Campania Region Healthcare System Commissioner Office, Naples, Italy
| | | | - Ugo Trama
- Regional Pharmaceutical Unit, Campania Region, 80143, Naples, Italy
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Eliasson B, Allansson Kjölhede E, Salö S, Fabrin Nielsen N, Eeg-Olofsson K. Associations Between HbA1c and Glucose Time in Range Using Continuous Glucose Monitoring in Type 1 Diabetes: Cross-Sectional Population-Based Study. Diabetes Ther 2024; 15:1301-1312. [PMID: 38598054 PMCID: PMC11096286 DOI: 10.1007/s13300-024-01572-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 03/21/2024] [Indexed: 04/11/2024] Open
Abstract
INTRODUCTION Continuous glucose monitoring (CGM) introduces novel indicators of glycemic control. METHODS This cross-sectional study, based on the Swedish National Diabetes Register, examines 27,980 adults with type 1 diabetes. It explores the relationships between HbA1c (glycated hemoglobin) and various CGM-derived metrics, including TIR (time in range, representing the percentage of time within the range of 4-10 mmol/l for 2 weeks), TAR (time above range), TBR (time below range), mean glucose, standard deviation (SD), and coefficient of variation (CV). Pearson correlation coefficients and linear regression models were utilized for estimation. RESULTS The analysis included 46% women, 30% on insulin pump, 7% with previous coronary heart disease and 64% with retinopathy. Mean ± SD values were age 48 ± 18 years, diabetes duration 25 ± 16 years, HbA1c 58.8 ± 12.8 mmol/mol, TIR 58.8 ± 19.0%, TAR 36.3 ± 20.0%, TBR 4.7 ± 5.4%, mean sensor glucose 9.2 ± 2.0 mmol/l, SD 3.3 ± 1.0 mmol/l, and CV 36 ± 7%. The overall association between HbA1c and TIR was - 0.71 (Pearson's r), with R2 0.51 in crude linear regression and 0.57 in an adjusted model. R2 values between HbA1c and CGM mean glucose were 0.605 (unadjusted) 0.619 (adjusted) and TAR (unadjusted 0.554 and fully adjusted 0.568, respectively), while fully adjusted R2 values were 0.458, 0.175 and 0.101 between HbA1c and CGM SD, CGM CV and TBR, respectively. CONCLUSIONS This descriptive study demonstrates that the degree of association between HbA1c and new and readily available CGM-derived metrics, i.e., time in range (TIR), time above range (TAR), and CGM mean glucose, is robust in assessing the management of individuals with type 1 diabetes in clinical settings. Metrics from CGM that pertain to variability and hypoglycemia exhibit only weak correlations with HbA1c.
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Affiliation(s)
- Björn Eliasson
- Department of Medicine, Sahlgrenska University Hospital, 413 45, Göteborg, Sweden.
- Centre of Registers, Västra Götalandsregionen, Göteborg, Sweden.
| | - Elin Allansson Kjölhede
- Department of Medicine, Sahlgrenska University Hospital, 413 45, Göteborg, Sweden
- Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Göteborg, Sweden
| | - Sofia Salö
- Novo Nordisk Scandinavia AB, Malmö, Sweden
| | | | - Katarina Eeg-Olofsson
- Department of Medicine, Sahlgrenska University Hospital, 413 45, Göteborg, Sweden
- Centre of Registers, Västra Götalandsregionen, Göteborg, Sweden
- Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Göteborg, Sweden
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Sherr JL, Laffel LM, Liu J, Wolf W, Bispham J, Chapman KS, Finan D, Titievsky L, Liu T, Hagan K, Gaglia J, Chandarana K, Bergenstal R, Pettus J. Severe Hypoglycemia and Impaired Awareness of Hypoglycemia Persist in People With Type 1 Diabetes Despite Use of Diabetes Technology: Results From a Cross-sectional Survey. Diabetes Care 2024; 47:941-947. [PMID: 38295397 PMCID: PMC11116910 DOI: 10.2337/dc23-1765] [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: 09/18/2023] [Accepted: 12/19/2023] [Indexed: 02/02/2024]
Abstract
OBJECTIVE To determine how diabetes technologies, including continuous glucose monitoring (CGM) and automated insulin delivery (AID) systems, impact glycemic metrics, prevalence of severe hypoglycemic events (SHEs), and impaired awareness of hypoglycemia (IAH) in people with type 1 diabetes in a real-world setting within the U.S. RESEARCH DESIGN AND METHODS In this retrospective, observational study with cross-sectional elements, participants aged ≥18 years were enrolled from the T1D Exchange Registry/online community. Participants completed a one-time online survey describing glycemic metrics, SHEs, and IAH. The primary objective was to determine the proportions of participants who reported achieving glycemic targets (assessed according to self-reported hemoglobin A1c) and had SHEs and/or IAH. We performed additional subgroup analyses focusing on the impact of CGM and insulin delivery modality. RESULTS A total of 2,074 individuals with type 1 diabetes were enrolled (mean ± SD age 43.0 ± 15.6 years and duration of type 1 diabetes 26.3 ± 15.3 years). The majority of participants (91.7%) were using CGM, with one-half (50.8%) incorporating AID. Despite high use of diabetes technologies, only 57.7% reported achieving glycemic targets (hemoglobin A1c <7%). SHEs and IAH still occurred, with ∼20% of respondents experiencing at least one SHE within the prior 12 months and 30.7% (95% CI 28.7, 32.7) reporting IAH, regardless of CGM or AID use. CONCLUSIONS Despite use of advanced diabetes technologies, a high proportion of people with type 1 diabetes do not achieve glycemic targets and continue to experience SHEs and IAH, suggesting an ongoing need for improved treatment strategies.
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Affiliation(s)
| | - Lori M. Laffel
- Joslin Diabetes Center, Harvard Medical School, Boston, MA
| | | | | | | | | | | | | | - Tina Liu
- Vertex Pharmaceuticals, Inc., Boston, MA
| | | | - Jason Gaglia
- Joslin Diabetes Center, Harvard Medical School, Boston, MA
- Vertex Pharmaceuticals, Inc., Boston, MA
| | | | - Richard Bergenstal
- International Diabetes Center, HealthPartners Institute, Minneapolis, MN
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28
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Cuerda Del Pino A, Martín-San Agustín R, José Laguna Sanz A, Díez JL, Palanca A, Rossetti P, Gumbau-Gimenez M, Ampudia-Blasco FJ, Bondia J. Accuracy of Two Continuous Glucose Monitoring Devices During Aerobic and High-Intensity Interval Training in Individuals with Type 1 Diabetes. Diabetes Technol Ther 2024; 26:411-419. [PMID: 38215205 DOI: 10.1089/dia.2023.0535] [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: 01/14/2024]
Abstract
Background: This study aimed to evaluate the accuracy of Dexcom G6 (DG6) and FreeStyle Libre-2 (FSL2) during aerobic training and high-intensity interval training (HIIT) in individuals with type 1 diabetes. Methods: Twenty-six males (mean age 29.3 ± 6.3 years and mean duration of diabetes 14.9 ± 6.1 years) participated in this study. Interstitial glucose levels were measured using DG6 and FSL2, while plasma glucose levels were measured every 10 min using YSI 2500 as the reference for glucose measurements in this study. The measurements began 20 min before the start of exercise and continued for 20 min after exercise. Seven measurements were taken for each subject and exercise. Results: Both DG6 and FSL2 devices showed significant differences compared to YSI glucose data for both aerobic and HIIT exercises. Continuous glucose monitoring (CGM) devices exhibited superior performance during HIIT than aerobic training, with DG6 showing a mean absolute relative difference of 14.03% versus 31.98%, respectively. In the comparison between the two devices, FSL2 demonstrated significantly higher effectiveness in aerobic training, yet its performance was inferior to DG6 during HIIT. According to the 40/40 criteria, both sensors performed similarly, with marks over 93% for all ranges and both exercises, and above 99% for HIIT and in the >180 mg/dL range, which is in accordance with FDA guidelines. Conclusions: The findings suggest that the accuracy of DG6 and FSL2 deteriorates during and immediately after exercise but remains acceptable for both devices during HIIT. However, accuracy is compromised with DG6 during aerobic exercise. This study is the first to compare the accuracy of two CGMs, DG6, and FSL2, during two exercise modalities, using plasma glucose YSI measurements as the gold standard for comparisons. It was registered at clinicaltrials.gov (NCT06080542).
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Affiliation(s)
- Alba Cuerda Del Pino
- Clinimetry and Technological Development in Therapeutic Exercise Research Group (CLIDET), Department of Physiotherapy, University of Valencia, Valencia, Spain
| | - Rodrigo Martín-San Agustín
- Clinimetry and Technological Development in Therapeutic Exercise Research Group (CLIDET), Department of Physiotherapy, University of Valencia, Valencia, Spain
| | - Alejandro José Laguna Sanz
- Clinimetry and Technological Development in Therapeutic Exercise Research Group (CLIDET), Department of Physiotherapy, University of Valencia, Valencia, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Instituto Universitario de Automática e Informática Industrial, Universitat Politècnica de València, València, Spain
| | - José-Luis Díez
- Clinimetry and Technological Development in Therapeutic Exercise Research Group (CLIDET), Department of Physiotherapy, University of Valencia, Valencia, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Instituto Universitario de Automática e Informática Industrial, Universitat Politècnica de València, València, Spain
| | - Ana Palanca
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Cardiometabolic Risk and Diabetes Research Group, INCLIVA Biomedical Research Institute, Valencia, Spain
| | - Paolo Rossetti
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, University and Polytechnic La Fe Hospital of Valencia, Valencia, Spain
| | - Maria Gumbau-Gimenez
- Clinimetry and Technological Development in Therapeutic Exercise Research Group (CLIDET), Department of Physiotherapy, University of Valencia, Valencia, Spain
| | - F Javier Ampudia-Blasco
- Clinimetry and Technological Development in Therapeutic Exercise Research Group (CLIDET), Department of Physiotherapy, University of Valencia, Valencia, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Cardiometabolic Risk and Diabetes Research Group, INCLIVA Biomedical Research Institute, Valencia, Spain
- Department of Endocrinology and Nutrition, Clinic University Hospital of Valencia, Valencia, Spain
- Department of Medicine, University of Valencia, Valencia, Spain
| | - Jorge Bondia
- Clinimetry and Technological Development in Therapeutic Exercise Research Group (CLIDET), Department of Physiotherapy, University of Valencia, Valencia, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
- Instituto Universitario de Automática e Informática Industrial, Universitat Politècnica de València, València, Spain
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Piersanti A, Pacini G, Tura A, D'Argenio DZ, Morettini M. An in-silico modeling approach to separate exogenous and endogenous plasma insulin appearance, with application to inhaled insulin. Sci Rep 2024; 14:10936. [PMID: 38740832 PMCID: PMC11091049 DOI: 10.1038/s41598-024-61293-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 05/03/2024] [Indexed: 05/16/2024] Open
Abstract
The aim of this study was to develop a dynamic model-based approach to separately quantify the exogenous and endogenous contributions to total plasma insulin concentration and to apply it to assess the effects of inhaled-insulin administration on endogenous insulin secretion during a meal test. A three-step dynamic in-silico modeling approach was developed to estimate the two insulin contributions of total plasma insulin in a group of 21 healthy subjects who underwent two equivalent standardized meal tests on separate days, one of which preceded by inhalation of a Technosphere® Insulin dose (22U or 20U). In the 30-120 min test interval, the calculated endogenous insulin component showed a divergence in the time course between the test with and without inhaled insulin. Moreover, the supra-basal area-under-the-curve of endogenous insulin in the test with inhaled insulin was significantly lower than that in the test without (2.1 ± 1.7 × 104 pmol·min/L vs 4.2 ± 1.8 × 104 pmol·min/L, p < 0.01). The percentage of exogenous insulin reaching the plasma, relative to the inhaled dose, was 42 ± 21%. The proposed in-silico approach separates exogenous and endogenous insulin contributions to total plasma insulin, provides individual bioavailability estimates, and can be used to assess the effect of inhaled insulin on endogenous insulin secretion during a meal.
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Affiliation(s)
- Agnese Piersanti
- Department of Information Engineering, Università Politecnica Delle Marche, Via Brecce Bianche 12, Ancona, Italy
| | | | | | - David Z D'Argenio
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA
| | - Micaela Morettini
- Department of Information Engineering, Università Politecnica Delle Marche, Via Brecce Bianche 12, Ancona, Italy.
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Eichenlaub M, Pleus S, Rothenbühler M, Bailey TS, Bally L, Brazg R, Bruttomesso D, Diem P, Eriksson Boija E, Fokkert M, Haug C, Hinzmann R, Jendle J, Klonoff DC, Mader JK, Makris K, Moser O, Nichols JH, Nørgaard K, Pemberton J, Selvin E, Spanou L, Thomas A, Tran NK, Witthauer L, Slingerland RJ, Freckmann G. Comparator Data Characteristics and Testing Procedures for the Clinical Performance Evaluation of Continuous Glucose Monitoring Systems. Diabetes Technol Ther 2024; 26:263-275. [PMID: 38194227 PMCID: PMC10979680 DOI: 10.1089/dia.2023.0465] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2024]
Abstract
Comparing the performance of different continuous glucose monitoring (CGM) systems is challenging due to the lack of comprehensive guidelines for clinical study design. In particular, the absence of concise requirements for the distribution of comparator (reference) blood glucose (BG) concentrations and their rate of change (RoC) that are used to evaluate CGM performance, impairs comparability. For this article, several experts in the field of CGM performance testing have collaborated to propose characteristics of the distribution of comparator measurements that should be collected during CGM performance testing. Specifically, it is proposed that at least 7.5% of comparator BG concentrations are <70 mg/dL (3.9 mmol/L) and >300 mg/dL (16.7 mmol/L), respectively, and that at least 7.5% of BG-RoC combinations indicate fast BG changes with impending hypo- or hyperglycemia, respectively. These proposed characteristics of the comparator data can facilitate the harmonization of testing conditions across different studies and CGM systems and ensure that the most relevant scenarios representing real-life situations are established during performance testing. In addition, a study protocol and testing procedure for the manipulation of glucose levels are suggested that enable the collection of comparator data with these characteristics. This work is an important step toward establishing a future standard for the performance evaluation of CGM systems.
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Affiliation(s)
- Manuel Eichenlaub
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | - Stefan Pleus
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
| | | | | | - Lia Bally
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital Bern, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Ronald Brazg
- Rainier Clinical Research Center, Renton, Washington, USA
| | - Daniela Bruttomesso
- Division of Metabolic Disease, Department of Medicine, University of Padua, Padua, Italy
| | - Peter Diem
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Endokrinologie Diabetologie Bern, Bern, Switzerland
| | - Elisabet Eriksson Boija
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Equalis AB, Uppsala, Sweden
| | - Marion Fokkert
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Department of Clinical Chemistry, Isala Clinics, Zwolle, The Netherlands
| | - Cornelia Haug
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | - Rolf Hinzmann
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Roche Diabetes Care GmbH, Mannheim, Germany
| | - Johan Jendle
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - David C. Klonoff
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Diabetes Research Institute of Mills-Peninsula Medical Center, San Mateo, California, USA
| | - Julia K. Mader
- Division of Endocrinology and Diabetology, Medical University of Graz, Graz, Austria
| | - Konstantinos Makris
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Clinical Biochemistry Department, KAT General Hospital, Athens, Greece
| | - Othmar Moser
- Division of Endocrinology and Diabetology, Medical University of Graz, Graz, Austria
- Department of Exercise Physiology and Metabolism, University of Bayreuth, Bayreuth, Germany
| | - James H. Nichols
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kirsten Nørgaard
- Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - John Pemberton
- Birmingham Women's and Children's Foundation Trust, Birmingham, United Kingdom
| | - Elizabeth Selvin
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Department of Cardiovascular and Clinical Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Loukia Spanou
- Department of Endocrinology, Diabetes and Metabolism, Hellenic Red Cross Hospital, Athens, Greece
| | - Andreas Thomas
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Independent Scientific Consulting, Pirna, Germany
| | - Nam K. Tran
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Department of Pathology and Laboratory Medicine, University of California Davis Health, Sacramento, California, USA
| | - Lilian Witthauer
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Diabetes Center Berne, Bern, Switzerland
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital Bern, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Robbert J. Slingerland
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Department of Clinical Chemistry, Isala Clinics, Zwolle, The Netherlands
| | - Guido Freckmann
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
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Mathieu C, Ahmed W, Gillard P, Cohen O, Vigersky R, de Portu S, Ozdemir Saltik AZ. The Health Economics of Automated Insulin Delivery Systems and the Potential Use of Time in Range in Diabetes Modeling: A Narrative Review. Diabetes Technol Ther 2024; 26:66-75. [PMID: 38377319 DOI: 10.1089/dia.2023.0438] [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: 02/22/2024]
Abstract
Intensive therapy with exogenous insulin is the treatment of choice for individuals living with type 1 diabetes (T1D) and some with type 2 diabetes, alongside regular glucose monitoring. The development of systems allowing (semi-)automated insulin delivery (AID), by connecting glucose sensors with insulin pumps and algorithms, has revolutionized insulin therapy. Indeed, AID systems have demonstrated a proven impact on overall glucose control, as indicated by effects on glycated hemoglobin (HbA1c), risk of severe hypoglycemia, and quality of life measures. An alternative endpoint for glucose control that has arisen from the use of sensor-based continuous glucose monitoring is the time in range (TIR) measure, which offers an indication of overall glucose control, while adding information on the quality of control with regard to blood glucose level stability. A review of literature on the health-economic value of AID systems was conducted, with a focus placed on the growing place of TIR as an endpoint in studies involving AID systems. Results showed that the majority of economic evaluations of AID systems focused on individuals with T1D and found AID systems to be cost-effective. Most studies incorporated HbA1c, rather than TIR, as a clinical endpoint to determine treatment effects on glucose control and subsequent quality-adjusted life year (QALY) gains. Likely reasons for the choice of HbA1c as the chosen endpoint is the use of this metric in most validated and established economic models, as well as the limited publicly available evidence on appropriate methodologies for TIR data incorporation within conventional economic evaluations. Future studies could include the novel TIR metric in health-economic evaluations as an additional measure of treatment effects and subsequent QALY gains, to facilitate a holistic representation of the impact of AID systems on glycemic control. This would provide decision makers with robust evidence to inform future recommendations for health care interventions.
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Affiliation(s)
- Chantal Mathieu
- Department of Endocrinology, UZ Gasthuisberg, Leuven, Belgium
| | - Waqas Ahmed
- Covalence Research Ltd, Harpenden, United Kingdom
| | - Pieter Gillard
- Department of Endocrinology, UZ Gasthuisberg, Leuven, Belgium
| | - Ohad Cohen
- Medtronic International Trading Sarl, Tolochenaz, Switzerland
| | | | - Simona de Portu
- Medtronic International Trading Sarl, Tolochenaz, Switzerland
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Considine EG, Sherr JL. Real-World Evidence of Automated Insulin Delivery System Use. Diabetes Technol Ther 2024; 26:53-65. [PMID: 38377315 PMCID: PMC10890954 DOI: 10.1089/dia.2023.0442] [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] [Indexed: 02/22/2024]
Abstract
Objective: Pivotal trials of automated insulin delivery (AID) closed-loop systems have demonstrated a consistent picture of glycemic benefit, supporting approval of multiple systems by the Food and Drug Administration or Conformité Européenne mark receipt. To assess how pivotal trial findings translate to commercial AID use, a systematic review of retrospective real-world studies was conducted. Methods: PubMed and EMBASE were searched for articles published after 2018 with more than five nonpregnant individuals with type 1 diabetes (T1D). Data were screened/extracted in duplicate for sample size, AID system, glycemic outcomes, and time in automation. Results: Of 80 studies identified, 20 met inclusion criteria representing 171,209 individuals. Time in target range 70-180 mg/dL (3.9-10.0 mmol/L) was the primary outcome in 65% of studies, with the majority of reports (71%) demonstrating a >10% change with AID use. Change in hemoglobin A1c (HbA1c) was reported in nine studies (range 0.1%-0.9%), whereas four reported changes in glucose management indicator (GMI) with a 0.1%-0.4% reduction noted. A decrease in HbA1c or GMI of >0.2% was achieved in two-thirds of the studies describing change in HbA1c and 80% of articles where GMI was described. Time below range <70 mg/dL (<3.9 mmol/L) was reported in 16 studies, with all but 1 study showing stable or reduced levels. Most systems had >90% time in automation. Conclusion: With larger and more diverse populations, and follow-up periods of longer duration (∼9 months vs. 3-6 months for pivotal trials), real-world retrospective analyses confirm pivotal trial findings. Given the glycemic benefits demonstrated, AID is rapidly becoming the standard of care for all people living with T1D. Individuals should be informed of these systems and differences between them, have access to and coverage for these technologies, and receive support as they integrate this mode of insulin delivery into their lives.
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Affiliation(s)
| | - Jennifer L. Sherr
- Department of Pediatrics, Yale School of Medicine, New Haven, Connecticut, USA
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Patel SK, Fourlanos S, Greenfield JR. Classification of type 1 diabetes: A pathogenic and treatment-based classification. Diabetes Metab Syndr 2024; 18:102986. [PMID: 38503115 DOI: 10.1016/j.dsx.2024.102986] [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: 06/01/2023] [Revised: 03/12/2024] [Accepted: 03/13/2024] [Indexed: 03/21/2024]
Abstract
AIM To improve the diagnosis and classification of patients who fail to satisfy current type 1 diabetes diagnostic criteria. METHODS Review of the literature and current diagnostic guidelines. DISCUSSION We propose a novel, clinically useful classification based on islet autoantibody status and non-fasting C-peptide levels. Notably, we discuss the subgroup of latent autoimmune diabetes in the young and propose a new subgroup classification of autoantibody negative type 1 diabetes in remission. CONCLUSION A novel classification system is proposed. Further work is needed to accurately diagnose and manage minority type 1 diabetes subgroups.
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Affiliation(s)
- Shivani K Patel
- Clinical Diabetes, Appetite and Metabolism Laboratory, Garvan Institute of Medical Research, Sydney, NSW, Australia; Department of Diabetes and Endocrinology, St Vincent's Hospital, Sydney, NSW, Australia; School of Clinical Medicine, UNSW Medicine & Health, St Vincent's Healthcare Clinical Campus, Faculty of Medicine, UNSW Sydney, Sydney, NSW, Australia.
| | - Spiros Fourlanos
- Department of Diabetes and Endocrinology, Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Jerry R Greenfield
- Clinical Diabetes, Appetite and Metabolism Laboratory, Garvan Institute of Medical Research, Sydney, NSW, Australia; Department of Diabetes and Endocrinology, St Vincent's Hospital, Sydney, NSW, Australia; School of Clinical Medicine, UNSW Medicine & Health, St Vincent's Healthcare Clinical Campus, Faculty of Medicine, UNSW Sydney, Sydney, NSW, Australia
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Meza-León A, Montoya-Estrada A, Reyes-Muñoz E, Romo-Yáñez J. Diabetes Mellitus and Pregnancy: An Insight into the Effects on the Epigenome. Biomedicines 2024; 12:351. [PMID: 38397953 PMCID: PMC10886464 DOI: 10.3390/biomedicines12020351] [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: 11/16/2023] [Revised: 12/17/2023] [Accepted: 01/08/2024] [Indexed: 02/25/2024] Open
Abstract
Worldwide, diabetes mellitus represents a growing health problem. If it occurs during pregnancy, it can increase the risk of various abnormalities in early and advanced life stages of exposed individuals due to fetal programming occurring in utero. Studies have determined that maternal conditions interfere with the genotypes and phenotypes of offspring. Researchers are now uncovering the mechanisms by which epigenetic alterations caused by diabetes affect the expression of genes and, therefore, the development of various diseases. Among the numerous possible epigenetic changes in this regard, the most studied to date are DNA methylation and hydroxymethylation, as well as histone acetylation and methylation. This review article addresses critical findings in epigenetic studies involving diabetes mellitus, including variations reported in the expression of specific genes and their transgenerational effects.
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Affiliation(s)
| | | | | | - José Romo-Yáñez
- Coordinación de Endocrinología Ginecológica y Perinatal, Instituto Nacional de Perinatología, Montes Urales 800, Lomas Virreyes, Mexico City 11000, Mexico
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35
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Visser MM, Gillard P. Best practices in collecting and reporting continuous glucose monitoring data in research settings. Nat Metab 2024; 6:189-191. [PMID: 38360954 DOI: 10.1038/s42255-024-00973-5] [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: 02/17/2024]
Affiliation(s)
- Margaretha M Visser
- Department of Endocrinology, University Hospitals Leuven - KU Leuven, Leuven, Belgium.
| | - Pieter Gillard
- Department of Endocrinology, University Hospitals Leuven - KU Leuven, Leuven, Belgium
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Mavroeidi I, Manta A, Asimakopoulou A, Syrigos A, Paschou SA, Vlachaki E, Nastos C, Kalantaridou S, Peppa M. The Role of the Glycemic Index and Glycemic Load in the Dietary Approach of Gestational Diabetes Mellitus. Nutrients 2024; 16:399. [PMID: 38337683 PMCID: PMC10857473 DOI: 10.3390/nu16030399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 01/19/2024] [Accepted: 01/20/2024] [Indexed: 02/12/2024] Open
Abstract
Gestational diabetes mellitus (GDM) is a common metabolic disorder that often develops during pregnancy, characterized by glucose intolerance and insulin resistance (IR). To ensure the well-being of both the mother and the fetus, the body undergoes multiple metabolic and immunological changes that result in peripheral IR and, under certain hereditary or acquired abnormalities, GDM in predisposed women. The adverse short- and long-term effects of GDM impact both the mother and the fetus. Nutrition seems to play an important role to prevent GDM or improve its evolution. An emphasis has been given to the proportion of carbohydrates (CHO) relative to protein and lipids, as well as dietary patterns, in GDM. The effects of CHO on postprandial glucose concentrations are reflected in the glycemic index (GI) and glycemic load (GL). Diets rich in GI and GL may induce or exacerbate IR, whereas diets low in GI and GL appear to enhance insulin sensitivity and improve glycemic control. These positive outcomes may be attributed to direct interactions with insulin and glucose homeostasis or indirect effects through improved body composition and weight management. This comprehensive narrative review aims to explore the significance of nutrition, with a focus on the critical evaluation of GI and GL in the dietary management of women with GDM.
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Affiliation(s)
- Ioanna Mavroeidi
- Endocrine Unit, 2nd Propaedeutic Department of Internal Medicine, Research Institute and Diabetes Center, Attikon University Hospital, School of Medicine, National and Kapodistrian University of Athens, 12461 Athens, Greece
| | - Aspasia Manta
- Endocrine Unit, 2nd Propaedeutic Department of Internal Medicine, Research Institute and Diabetes Center, Attikon University Hospital, School of Medicine, National and Kapodistrian University of Athens, 12461 Athens, Greece
| | - Athina Asimakopoulou
- 3rd Department of Internal Medicine, Sotiria General Hospital, 11527 Athens, Greece
| | - Alexandros Syrigos
- 3rd Department of Internal Medicine, Sotiria General Hospital, 11527 Athens, Greece
| | - Stavroula A Paschou
- Endocrine Unit and Diabetes Center, Department of Clinical Therapeutics, Alexandra Hospital, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece
| | - Efthimia Vlachaki
- Hematological Laboratory, 2nd Department of Internal Medicine, Hippokrateion Hospital, Aristotle University, 54640 Thessaloniki, Greece
| | - Constantinos Nastos
- 3rd Department of Surgery, Attikon University Hospital, School of Medicine, National and Kapodistrian University of Athens, 12461 Athens, Greece
| | - Sophia Kalantaridou
- Department of Obstetrics and Gynecology, Attikon University Hospital, School of Medicine, National and Kapodistrian University of Athens, 12461 Athens, Greece
| | - Melpomeni Peppa
- Endocrine Unit, 2nd Propaedeutic Department of Internal Medicine, Research Institute and Diabetes Center, Attikon University Hospital, School of Medicine, National and Kapodistrian University of Athens, 12461 Athens, Greece
- 3rd Department of Internal Medicine, Sotiria General Hospital, 11527 Athens, Greece
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Lazar S, Ionita I, Reurean-Pintilei D, Timar R, Luca SA, Timar B. To What Extent Is Hb A1c Associated with Glycemic Variability in Patients with Type 1 Diabetes? A Retrospective, Noninterventional Study. J Clin Med 2024; 13:450. [PMID: 38256584 PMCID: PMC10816236 DOI: 10.3390/jcm13020450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 12/25/2023] [Accepted: 01/10/2024] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND Glycemic variability (GV) is a novel parameter used in evaluating the quality of diabetes management. Current guidelines recommend the use of GV indexes alongside the traditional parameter to evaluate glycemic control: hemoglobin A1c (HbA1c). This study aims to evaluate the extent to which HbA1c explains the GV phenomena in patients with Type 1 diabetes (T1DM). METHODS In 147 patients with T1DM, associations between HbA1c and several GV indexes were analyzed. RESULTS Patients with an HbA1c < 7% had a lower median standard deviation of glycemia (60 vs. 48; p < 0.001), a lower coefficient of variation (34.1 vs. 38.0; p < 0.001), and a significantly increased median time in range (78 vs. 58; p < 0.001). HbA1c was positively correlated with the coefficient of variation (r = 0.349; p < 0.001) and the standard deviation (r = 0.656; p < 0.001) but reversely correlated with a lower time in range (r = -0.637; p < 0.001). CONCLUSIONS HbA1c only partially explains the GV phenomena in patients with T1DM. The HbA1c value is associated more strongly with the time in range and standard deviation than with the coefficient of variation.
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Affiliation(s)
- Sandra Lazar
- First Department of Internal Medicine, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania;
- Department of Hematology, Emergency Municipal Hospital, 300254 Timisoara, Romania
- Centre for Molecular Research in Nephrology and Vascular Disease, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (D.R.-P.); (R.T.); (S.A.L.); (B.T.)
| | - Ioana Ionita
- First Department of Internal Medicine, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania;
- Department of Hematology, Emergency Municipal Hospital, 300254 Timisoara, Romania
- Multidisciplinary Research Center for Malignant Hematological Diseases (CCMHM), “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Delia Reurean-Pintilei
- Centre for Molecular Research in Nephrology and Vascular Disease, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (D.R.-P.); (R.T.); (S.A.L.); (B.T.)
- Department of Diabetes, Nutrition and Metabolic Diseases, Consultmed Medical Centre, 700544 Iasi, Romania
| | - Romulus Timar
- Centre for Molecular Research in Nephrology and Vascular Disease, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (D.R.-P.); (R.T.); (S.A.L.); (B.T.)
- Second Department of Internal Medicine, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
- Department of Diabetes, Nutrition and Metabolic Diseases, “Pius Brinzeu” Emergency Hospital, 300723 Timisoara, Romania
| | - Silvia Ana Luca
- Centre for Molecular Research in Nephrology and Vascular Disease, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (D.R.-P.); (R.T.); (S.A.L.); (B.T.)
- Department of Cardiology, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
| | - Bogdan Timar
- Centre for Molecular Research in Nephrology and Vascular Disease, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania; (D.R.-P.); (R.T.); (S.A.L.); (B.T.)
- Second Department of Internal Medicine, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
- Department of Diabetes, Nutrition and Metabolic Diseases, “Pius Brinzeu” Emergency Hospital, 300723 Timisoara, Romania
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Ji X, Zou W, Fan L, Zhou Z, Zhu X, Li X. Insulin resistance-related features are associated with cognitive decline: a cross-sectional study in adult patients with type 1 diabetes. Diabetol Metab Syndr 2024; 16:13. [PMID: 38212850 PMCID: PMC10782534 DOI: 10.1186/s13098-023-01249-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 12/29/2023] [Indexed: 01/13/2024] Open
Abstract
BACKGROUND To investigate the associations between insulin resistance (IR)-related features and cognitive function in type 1 diabetes (T1D). METHODS A total of 117 adult patients with T1D were recruited in this cross-sectional study. IR-related features include overweight/obesity/central obesity, hypertension, atherogenic dyslipidemia, and decreased estimated insulin sensitivity (eIS). The Wechsler Memory Scale-Chinese Revision, Wisconsin Card Sorting Test, and Sustained Attention to Response Task was used to assess memory, executive function and sustained attention, respectively. A z-score was generated from each test, and a composite measure of global cognitive performance was calculated by averaging the z-scores of all tests. Cognitive differences were measured between T1D patients with and without IR-related features. The associations between IR-related features and and cognitive performance were analyzed using: logistic regression, partial correlation, and multivariate linear regression analysis. RESULTS A total of 53 (45.3%) T1D patients were defined as having IR-related features. Individuals with IR-related features displayed worse overall cognitive scores compared to those without and had a 4-fold increase in the risk for having global cognitive z-score < 0. Among the IR-related features, higher triglyceride (TG) and lower eIS showed linear correlation with lower global cognitive performance. And the subsequent regression analysis identified eIS as the factor independently associated with global cognitive performance. CONCLUSIONS We have provided evidence linking IR-related features to deteriorated cognitive function in adult patients with T1D. And eIS showed an independent positive correlation with global cognitive performance. Although no causal relationship can be drawn, IR emerges as an important factor reflecting cognitive function. TRIAL REGISTRATION ClinicalTrials.gov NCT03610984.
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Affiliation(s)
- Xiaolin Ji
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, 410011, Changsha, Hunan, China
| | - Wenjing Zou
- National Clinical Research Center for Mental Disorders, Medical Psychological Center, Medical Psychological Institute of Central South University, The Second Xiangya Hospital of Central South University, 410011, Changsha, Hunan, China
- Department of Radiology, The First Affiliated Hospital of Zhejiang University School of Medicine, 310000, Hangzhou, China
| | - Li Fan
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, 410011, Changsha, Hunan, China
| | - Zhiguang Zhou
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, 410011, Changsha, Hunan, China
| | - Xiongzhao Zhu
- National Clinical Research Center for Mental Disorders, Medical Psychological Center, Medical Psychological Institute of Central South University, The Second Xiangya Hospital of Central South University, 410011, Changsha, Hunan, China.
| | - Xia Li
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, 410011, Changsha, Hunan, China.
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Ursino G, Lucibello G, Teixeira PDS, Höfler A, Veyrat-Durebex C, Odouard S, Visentin F, Galgano L, Somm E, Vianna CR, Widmer A, Jornayvaz FR, Boland A, Ramadori G, Coppari R. S100A9 exerts insulin-independent antidiabetic and anti-inflammatory effects. SCIENCE ADVANCES 2024; 10:eadj4686. [PMID: 38170783 PMCID: PMC10796079 DOI: 10.1126/sciadv.adj4686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 12/01/2023] [Indexed: 01/05/2024]
Abstract
Type 1 diabetes mellitus (T1DM) is characterized by insulin deficiency leading to hyperglycemia and several metabolic defects. Insulin therapy remains the cornerstone of T1DM management, yet it increases the risk of life-threatening hypoglycemia and the development of major comorbidities. Here, we report an insulin signaling-independent pathway able to improve glycemic control in T1DM rodents. Co-treatment with recombinant S100 calcium-binding protein A9 (S100A9) enabled increased adherence to glycemic targets with half as much insulin and without causing hypoglycemia. Mechanistically, we demonstrate that the hyperglycemia-suppressing action of S100A9 is due to a Toll-like receptor 4-dependent increase in glucose uptake in specific skeletal muscles (i.e., soleus and diaphragm). In addition, we found that T1DM mice have abnormal systemic inflammation, which is resolved by S100A9 therapy alone (or in combination with low insulin), hence uncovering a potent anti-inflammatory action of S100A9 in T1DM. In summary, our findings reveal the S100A9-TLR4 skeletal muscle axis as a promising therapeutic target for improving T1DM treatment.
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Affiliation(s)
- Gloria Ursino
- Department of Cell Physiology and Metabolism, University of Geneva, 1211 Geneva, Switzerland
- Diabetes Center of the Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland
| | - Giulia Lucibello
- Department of Cell Physiology and Metabolism, University of Geneva, 1211 Geneva, Switzerland
- Diabetes Center of the Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland
| | - Pryscila D. S. Teixeira
- Department of Cell Physiology and Metabolism, University of Geneva, 1211 Geneva, Switzerland
- Diabetes Center of the Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland
| | - Anna Höfler
- Department of Molecular Biology, University of Geneva, 1211 Geneva, Switzerland
| | - Christelle Veyrat-Durebex
- Department of Cell Physiology and Metabolism, University of Geneva, 1211 Geneva, Switzerland
- Diabetes Center of the Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland
| | - Soline Odouard
- Department of Cell Physiology and Metabolism, University of Geneva, 1211 Geneva, Switzerland
- Diabetes Center of the Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland
| | - Florian Visentin
- Department of Cell Physiology and Metabolism, University of Geneva, 1211 Geneva, Switzerland
- Diabetes Center of the Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland
| | - Luca Galgano
- Department of Cell Physiology and Metabolism, University of Geneva, 1211 Geneva, Switzerland
- Diabetes Center of the Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland
| | - Emmanuel Somm
- Department of Cell Physiology and Metabolism, University of Geneva, 1211 Geneva, Switzerland
- Diabetes Center of the Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland
- Service of Endocrinology, Diabetes, Nutrition and Therapeutic patient education, Geneva University Hospital, 1205 Geneva, Switzerland
| | - Claudia R. Vianna
- Center for Hypothalamic Research, Department of Internal Medicine, University of Texas Southwestern Medical Center at Dallas, Dallas, TX 75390, USA
| | - Ariane Widmer
- Department of Cell Physiology and Metabolism, University of Geneva, 1211 Geneva, Switzerland
- Diabetes Center of the Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland
| | - François R. Jornayvaz
- Department of Cell Physiology and Metabolism, University of Geneva, 1211 Geneva, Switzerland
- Diabetes Center of the Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland
- Service of Endocrinology, Diabetes, Nutrition and Therapeutic patient education, Geneva University Hospital, 1205 Geneva, Switzerland
| | - Andreas Boland
- Department of Molecular Biology, University of Geneva, 1211 Geneva, Switzerland
| | - Giorgio Ramadori
- Department of Cell Physiology and Metabolism, University of Geneva, 1211 Geneva, Switzerland
- Diabetes Center of the Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland
| | - Roberto Coppari
- Department of Cell Physiology and Metabolism, University of Geneva, 1211 Geneva, Switzerland
- Diabetes Center of the Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland
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Hellman J, Hartvig NV, Kaas A, Møller JB, Sørensen MR, Jendle J. Associations of bolus insulin injection frequency and smart pen engagement with glycaemic control in people living with type 1 diabetes. Diabetes Obes Metab 2024; 26:301-310. [PMID: 37926903 DOI: 10.1111/dom.15316] [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: 06/21/2023] [Revised: 09/11/2023] [Accepted: 09/21/2023] [Indexed: 11/07/2023]
Abstract
AIM To evaluate whether both bolus insulin injection frequency and smart pen engagement were associated with changes in glycaemic control, using real-world data from adults with type 1 diabetes (T1D). MATERIALS AND METHODS Adults using a smart pen (NovoPen 6) to administer bolus insulin (fast-acting insulin aspart or insulin aspart) alongside continuous glucose monitoring were eligible for inclusion. Smart pen engagement was characterized by number of days with pen data uploads over the previous 14 days. Glycaemic control was evaluated by analysing glucose metrics. RESULTS Overall, data from 1194 individuals were analysed. The number of daily bolus injections was significantly associated with time in range (TIR; 3.9-10.0 mmol/L [70-180 mg/dL]; P < 0.0001). Individuals administering, on average, three daily bolus insulin injections had an estimated 11% chance of achieving >70% TIR. The probability of achieving >70% TIR increased with the mean number of daily bolus injections. However, the percentage of TIR was lower on days when individuals administered higher-than-average numbers of injections. The observed mean number of daily bolus injections administered across the study population was lower than the optimal number required to reach glycaemic targets (4.8 injections vs. 6-8 injections). Smart pen engagement was significantly associated with improved TIR. CONCLUSIONS Glycaemic control was associated with daily bolus insulin injection frequency and smart pen engagement. A treatment regimen combining an optimal bolus injection strategy, and effective smart pen engagement, may improve glycaemic control among adults with T1D.
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Affiliation(s)
- Jarl Hellman
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | | | | | | | | | - Johan Jendle
- School of Medical Science, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
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ElSayed NA, Aleppo G, Bannuru RR, Beverly EA, Bruemmer D, Collins BS, Darville A, Ekhlaspour L, Hassanein M, 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. 5. Facilitating Positive Health Behaviors and Well-being to Improve Health Outcomes: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S77-S110. [PMID: 38078584 PMCID: PMC10725816 DOI: 10.2337/dc24-s005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Ekberg NR, Hartvig NV, Kaas A, Møller JB, Adolfsson P. Smart Pen Exposes Missed Basal Insulin Injections and Reveals the Impact on Glycemic Control in Adults With Type 1 Diabetes. J Diabetes Sci Technol 2024; 18:66-73. [PMID: 35775735 PMCID: PMC10899845 DOI: 10.1177/19322968221104142] [Citation(s) in RCA: 3] [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] [Indexed: 11/16/2022]
Abstract
BACKGROUND Adherence to basal insulin injections and the effects of missed basal insulin injections in adults with type 1 diabetes (T1D) were investigated using data from continuous glucose monitoring (CGM) and smart insulin pen devices in a real-world study. METHODS This was a post hoc analysis of a prospective, real-world study conducted in Sweden. Adults with T1D who were using CGM received a smart insulin pen device (NovoPen 6) for insulin injections. Missed basal insulin doses (≥40 hours between doses) were evaluated over 14-day periods, and the probability of missing basal insulin doses was estimated. Associations between missed basal insulin doses and glycemic outcomes were also explored. RESULTS Thirty-two patients with 4410 acceptable CGM days (315 14-day periods) were included. The number of missed basal insulin doses ranged from 0 to 4 over 315 14-day periods. The estimated probability of missing at least one basal insulin dose over any given 14-day period was 22% (95% confidence interval: 10%-40%). Missed basal insulin doses were significantly associated with higher mean glycemic levels, higher glucose management indicator, and lower time in range (70-180 mg/dL [3.9-10.0 mmol/L]). Similar results were observed when adjusted for missed bolus insulin doses; age and sex had no statistically significant effect on any glycemic parameter. CONCLUSIONS This is the first study, based on accurate real-world injection data, to demonstrate the challenge of adherence to basal insulin injections in patients with T1D, and document that just one missed basal injection per week can result in clinically significant changes in glycemic control.
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Affiliation(s)
- Neda Rajamand Ekberg
- Center for Diabetes, Academic Specialist Center, Stockholm, Sweden
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | | | | | | | - Peter Adolfsson
- Department of Pediatrics, The Hospital of Halland, Kungsbacka, Sweden
- Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
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Scarr D, Lovblom E, Ye H, Liu H, Bakhsh A, Verhoeff NJ, Wolever TMS, Lawler PR, Sharma K, Cherney DZI, Perkins BA. Ketone production and excretion even during mild hyperglycemia and the impact of sodium-glucose co-transporter inhibition in type 1 diabetes. Diabetes Res Clin Pract 2024; 207:111031. [PMID: 38036220 DOI: 10.1016/j.diabres.2023.111031] [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] [Received: 10/11/2023] [Revised: 11/18/2023] [Accepted: 11/26/2023] [Indexed: 12/02/2023]
Abstract
AIMS We aimed to determine if ketone production and excretion are increased even at mild fasting hyperglycemia in type 1 diabetes (T1D) and if these are modified by ketoacidosis risk factors, including sodium-glucose co-transporter inhibition (SGLTi) and female sex. METHODS In secondary analysis of an 8-week single-arm open-label trial of empagliflozin (NCT01392560) we evaluated ketone concentrations during extended fasting and clamped euglycemia (4-6 mmol/L) and mild hyperglycemia (9-11 mmol/L) prior to and after treatment. Plasma and urine beta-hydroxybutyrate (BHB) concentrations and fractional excretion were analyzed by metabolomic analysis. RESULTS Forty participants (50 % female), aged 24 ± 5 years, HbA1c 8.0 ± 0.9 % (64 ± 0.08 mmol/mol) with T1D duration of 17.5 ± 7 years, were studied. Increased BHB production even during mild hyperglycemia (median urine 6.3[3.5-13.6] vs. 3.5[2.2-7.0] µmol/mmol creatinine during euglycemia, p < 0.001) was compensated by increased fractional excretion (0.9 % [0.3-1.6] vs. 0.4 % [0.2-0.9], p < 0.001). SGLTi increased production and attenuated the increased BHB fractional excretion (decreased to 0.3 % during mild hyperglycemia, p < 0.001), resulting in higher plasma concentrations (increased to 0.21 [0.05-0.40] mmol/L, p < 0.001), particularly in females (interaction p < 0.001). CONCLUSIONS Even mild hyperglycemia is associated with greater ketone production, compensated by urinary excretion, in T1D. However, SGLTi exaggerates production and partially reduces compensatory excretion, particularly in women.
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Affiliation(s)
- Daniel Scarr
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Erik Lovblom
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Hongping Ye
- Center for Renal Precision Medicine, Division of Nephrology, Department of Medicine, University of Texas Health San Antonio, San Antonio, TX, United States
| | - Hongyan Liu
- Division of Nephrology, Department of Medicine, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Abdulmohsen Bakhsh
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada; Kidney & Pancreas Health Centre, Organ Transplant Centre of Excellence, King Faisal Specialist Hospital & Research Centre, Riyadh, Kingdom of Saudi Arabia; Division of Endocrinology and Metabolism, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Natasha J Verhoeff
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Thomas M S Wolever
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Patrick R Lawler
- McGill University Health Centre, Montreal, Canada; The Peter Munk Cardiac Centre at University Health Network, University of Toronto, Canada
| | - Kumar Sharma
- Center for Renal Precision Medicine, Division of Nephrology, Department of Medicine, University of Texas Health San Antonio, San Antonio, TX, United States
| | - David Z I Cherney
- Division of Nephrology, Department of Medicine, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Bruce A Perkins
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada; Division of Endocrinology and Metabolism, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
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Ma J, Yan X, Feng Q, Liu W, Pérez Manghi F, García-Hernández P, Wang G, Xu J, Yuan Y, Zhou Z. Ultra-rapid lispro improved postprandial glucose control compared to insulin lispro in predominantly Chinese patients with type 1 diabetes: A prospective, randomized, double-blind phase 3 study. Diabetes Obes Metab 2024; 26:311-318. [PMID: 37871985 DOI: 10.1111/dom.15317] [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: 03/17/2023] [Revised: 09/06/2023] [Accepted: 09/16/2023] [Indexed: 10/25/2023]
Abstract
AIMS To investigate the efficacy and safety of ultra-rapid lispro (URLi) versus insulin lispro in predominantly Chinese patients with type 1 diabetes (T1D) in a prospective, randomized, double-blind, treat-to-target, phase 3 study. MATERIALS AND METHODS Following a lead-in period, during which insulin glargine U-100 or insulin degludec U-100 was optimized, patients were randomly assigned (1:1) to URLi (n = 176) or insulin lispro (n = 178). The primary objective was to test the noninferiority of URLi to insulin lispro in glycaemic control (noninferiority margin = 0.4% for glycated haemoglobin [HbA1c] change from baseline to week 26), with testing for the superiority of URLi to insulin lispro with regard to 1- and 2-hour postprandial glucose (PPG) excursions during a mixed-meal tolerance test and HbA1c change at week 26 as the multiplicity-adjusted objectives. RESULTS From baseline to week 26, HbA1c decreased by 0.21% and 0.28% with URLi and insulin lispro, respectively, with a least squares mean treatment difference of 0.07% (95% confidence interval -0.11 to 0.24; P = 0.467). URLi demonstrated smaller 1- and 2-hour PPG excursions at week 26 with least squares mean treatment differences of -1.0 mmol/L (-17.8 mg/dL) and -1.4 mmol/L (-25.5 mg/dL), respectively (p < 0.005 for both) versus insulin lispro. The safety profiles of URLi and insulin lispro were similar. CONCLUSIONS In this study, URLi administered in a basal-bolus regimen demonstrated superiority to insulin lispro in controlling PPG excursions, with noninferiority of HbA1c control in predominantly Chinese patients with T1D.
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Affiliation(s)
- Jianhua Ma
- Department of Endocrinology, Nanjing First Hospital, Nanjing, China
| | - Xiang Yan
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Qiong Feng
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Wei Liu
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | | | - Pedro García-Hernández
- Servicio de Endocrinología, Hospital Universitario "Dr. José Eleuterio González", Monterrey, Nuevo León, Mexico
| | - Guixia Wang
- Department of Endocrinology and Metabolism, First Hospital of Jilin University, Changchun, China
| | - Jianwei Xu
- Eli Lilly Suzhou Pharmaceutical Co. Ltd., Shanghai, China
| | - Yuan Yuan
- Eli Lilly Suzhou Pharmaceutical Co. Ltd., Shanghai, China
| | - Zhiguang Zhou
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
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Speight J, Holmes-Truscott E, Garza M, Scibilia R, Wagner S, Kato A, Pedrero V, Deschênes S, Guzman SJ, Joiner KL, Liu S, Willaing I, Babbott KM, Cleal B, Dickinson JK, Halliday JA, Morrissey EC, Nefs G, O'Donnell S, Serlachius A, Winterdijk P, Alzubaidi H, Arifin B, Cambron-Kopco L, Santa Ana C, Davidsen E, de Groot M, de Wit M, Deroze P, Haack S, Holt RIG, Jensen W, Khunti K, Kragelund Nielsen K, Lathia T, Lee CJ, McNulty B, Naranjo D, Pearl RL, Prinjha S, Puhl RM, Sabidi A, Selvan C, Sethi J, Seyam M, Sturt J, Subramaniam M, Terkildsen Maindal H, Valentine V, Vallis M, Skinner TC. Bringing an end to diabetes stigma and discrimination: an international consensus statement on evidence and recommendations. Lancet Diabetes Endocrinol 2024; 12:61-82. [PMID: 38128969 DOI: 10.1016/s2213-8587(23)00347-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 11/06/2023] [Accepted: 11/10/2023] [Indexed: 12/23/2023]
Abstract
People with diabetes often encounter stigma (ie, negative social judgments, stereotypes, prejudice), which can adversely affect emotional, mental, and physical health; self-care, access to optimal health care; and social and professional opportunities. To accelerate an end to diabetes stigma and discrimination, an international multidisciplinary expert panel (n=51 members, from 18 countries) conducted rapid reviews and participated in a three-round Delphi survey process. We achieved consensus on 25 statements of evidence and 24 statements of recommendations. The consensus is that diabetes stigma is driven primarily by blame, perceptions of burden or sickness, invisibility, and fear or disgust. On average, four in five adults with diabetes experience diabetes stigma and one in five experience discrimination (ie, unfair and prejudicial treatment) due to diabetes, such as in health care, education, and employment. Diabetes stigma and discrimination are harmful, unacceptable, unethical, and counterproductive. Collective leadership is needed to proactively challenge, and bring an end to, diabetes stigma and discrimination. Consequently, we achieved unanimous consensus on a pledge to end diabetes stigma and discrimination.
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Affiliation(s)
- Jane Speight
- School of Psychology and Institute for Health Transformation, Deakin University, Geelong, VIC, Australia; The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, VIC, Australia.
| | - Elizabeth Holmes-Truscott
- School of Psychology and Institute for Health Transformation, Deakin University, Geelong, VIC, Australia; The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, VIC, Australia
| | | | - Renza Scibilia
- Diabetogenic, Melbourne, VIC, Australia; JDRF International, New York, NY, USA
| | - Sabina Wagner
- Department of Prevention, Health Promotions & Community Care, Copenhagen University Hospital-Steno Diabetes Center Copenhagen, Copenhagen, Denmark
| | - Asuka Kato
- Department of Health and Social Behavior, School of Public Health, The University of Tokyo, Tokyo, Japan
| | - Victor Pedrero
- Faculty of Nursing, Universidad Andrés Bello, Santiago, Chile
| | - Sonya Deschênes
- School of Psychology, University College Dublin, Dublin, Ireland
| | | | - Kevin L Joiner
- Department of Health Behavior and Biological Sciences, School of Nursing, University of Michigan, Ann Arbor, MI, USA
| | - Shengxin Liu
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden
| | - Ingrid Willaing
- Department of Prevention, Health Promotions & Community Care, Copenhagen University Hospital-Steno Diabetes Center Copenhagen, Copenhagen, Denmark; Institute of Public Health, Department of Health Services Research, University of Copenhagen, Copenhagen, Denmark
| | - Katie M Babbott
- Department of Psychological Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Bryan Cleal
- Department of Prevention, Health Promotions & Community Care, Copenhagen University Hospital-Steno Diabetes Center Copenhagen, Copenhagen, Denmark
| | - Jane K Dickinson
- Department of Health Studies & Applied Educational Psychology, Teachers College Columbia University, New York, NY, USA
| | - Jennifer A Halliday
- School of Psychology and Institute for Health Transformation, Deakin University, Geelong, VIC, Australia; The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, VIC, Australia
| | - Eimear C Morrissey
- Health Behavior Change Research Group, School of Psychology, University of Galway, Galway, Ireland
| | - Giesje Nefs
- Department of Medical Psychology, Radboudumc, Nijmegen, Netherlands; Center of Research on Psychological Disorders and Somatic Diseases, Department of Medical and Clinical Psychology, Tilburg University, Tilburg, Netherlands; Diabeter, Center for Pediatric and Adolescent Diabetes Care and Research, Rotterdam, Netherlands
| | - Shane O'Donnell
- Birmingham Law School, University of Birmingham, Birmingham, UK
| | - Anna Serlachius
- Department of Psychological Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Per Winterdijk
- Diabeter, Center for Pediatric and Adolescent Diabetes Care and Research, Rotterdam, Netherlands
| | - Hamzah Alzubaidi
- College of Pharmacy, University of Sharjah, Sharjah, United Arab Emirates
| | - Bustanul Arifin
- Faculty of Pharmacy, Universitas Hasanuddin, Makassar, Indonesia
| | | | | | - Emma Davidsen
- Department of Prevention, Health Promotions & Community Care, Copenhagen University Hospital-Steno Diabetes Center Copenhagen, Copenhagen, Denmark
| | - Mary de Groot
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Maartje de Wit
- Medical Psychology, Amsterdam Public Health, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | | | | | - Richard I G Holt
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK; National Institute for Health Research Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | | | - Kamlesh Khunti
- Leicester Diabetes Centre, University of Leicester and University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Karoline Kragelund Nielsen
- Department of Prevention, Health Promotions & Community Care, Copenhagen University Hospital-Steno Diabetes Center Copenhagen, Copenhagen, Denmark
| | - Tejal Lathia
- Department of Endocrinology, Apollo Hospitals, Navi Mumbai, India
| | | | | | - Diana Naranjo
- Department of Pediatrics, Division of Endocrinology, Stanford School of Medicine, Palo Alto, CA, USA
| | - Rebecca L Pearl
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
| | - Suman Prinjha
- Leicester Diabetes Centre, University of Leicester and University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Rebecca M Puhl
- Department of Human Development & Family Sciences, College of Liberal Arts & Sciences, University of Connecticut, Storrs, CT, USA
| | | | - Chitra Selvan
- Department of Endocrinology, Ramaiah Medical College, Bengaluru, India
| | - Jazz Sethi
- The Diabesties Foundation, Ahmedabad, India
| | - Mohammed Seyam
- Faculty of Medicine, Al-Quds University, Abu Dis, Palestine
| | - Jackie Sturt
- Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King's College London, London, UK
| | - Mythily Subramaniam
- Institute of Mental Health Singapore, Singapore; Saw Swee Hock School of Public Health, National University Singapore, Singapore
| | - Helle Terkildsen Maindal
- Department of Prevention, Health Promotions & Community Care, Copenhagen University Hospital-Steno Diabetes Center Copenhagen, Copenhagen, Denmark; Department of Public Health, Aarhus University, Aarhus, Denmark
| | | | - Michael Vallis
- Department of Family Medicine, Dalhousie University, Halifax, NS, Canada
| | - Timothy C Skinner
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, VIC, Australia; La Trobe Rural Health School, La Trobe University, Flora Hill, VIC, Australia; Department of Psychology, University of Copenhagen, Copenhagen, Denmark
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Yamada E, Nakajima Y, Horiguchi K, Okada S, Yamada M. Assessment of factors associated with improved glycemic control after switching from intermittently scanned to real-time continuous glucose monitoring in Japanese patients with type 1 diabetes. Endocr J 2023; 70:1187-1193. [PMID: 37766568 DOI: 10.1507/endocrj.ej23-0125] [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: 09/29/2023] Open
Abstract
The advantages of real-time continuous glucose monitoring (rtCGM) over intermittently scanned CGM (isCGM) reportedly include lower glycated hemoglobin (HbA1c) levels as well as reduced glycemic variability. However, there have been few studies of the effect of switching from isCGM to rtCGM on glycemic control, as well as the specific factors underlying any observed improvements. To that end, all patients with type 1 diabetes mellitus who used the DEXCOM rtCGM device (Terumo Corporation, Tokyo, Japan) at our institution were reviewed, and 16 individuals with type 1 diabetes who switched from isCGM to rtCGM were investigated. The patients' HbA1c decreased in 75% of the cases (p = 0.02). On the other hand, GMI increased in 75% of the cases (p = 0.01). Intriguingly, the percentage of time below range and coefficient of variation were significantly improved with rtCGM compared to isCGM (2.9% vs. 7.6%, p = 0.016 and 35% vs. 40%, p = 0.0019, respectively). We also found that the discrepancy between HbA1c and GMI among users of isCGM was a key indicator that improved when switching to rtCGM. If discrepancies are observed between HbA1c and GMI when using isCGM, switching to rtCGM should be considered for improving glycemic control.
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Affiliation(s)
- Eijiro Yamada
- Department of Internal Medicine, Division of Endocrinology and Metabolism, Gunma University Graduate School of Medicine, Maebashi 371-8511, Japan
| | - Yasuyo Nakajima
- Department of Internal Medicine, Division of Endocrinology and Metabolism, Gunma University Graduate School of Medicine, Maebashi 371-8511, Japan
| | - Kazuhiko Horiguchi
- Department of Internal Medicine, Division of Endocrinology and Metabolism, Gunma University Graduate School of Medicine, Maebashi 371-8511, Japan
| | - Shuichi Okada
- Department of Internal Medicine, Division of Endocrinology and Metabolism, Gunma University Graduate School of Medicine, Maebashi 371-8511, Japan
| | - Masanobu Yamada
- Department of Internal Medicine, Division of Endocrinology and Metabolism, Gunma University Graduate School of Medicine, Maebashi 371-8511, Japan
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Zimmer RT, Auth A, Schierbauer J, Haupt S, Wachsmuth N, Zimmermann P, Voit T, Battelino T, Sourij H, Moser O. (Hybrid) Closed-Loop Systems: From Announced to Unannounced Exercise. Diabetes Technol Ther 2023. [PMID: 38133645 DOI: 10.1089/dia.2023.0293] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
Physical activity and exercise have many beneficial effects on general and type 1 diabetes (T1D) specific health and are recommended for individuals with T1D. Despite these health benefits, many people with T1D still avoid exercise since glycemic management during physical activity poses substantial glycemic and psychological challenges - which hold particularly true for unannounced exercise when using an AID system. Automated insulin delivery (AID) systems have demonstrated their efficacy in improving overall glycemia and in managing announced exercise in numerous studies. They are proven to increase time in range (70-180 mg/dL) and can especially counteract nocturnal hypoglycemia, even when evening exercise was performed. AID-systems consist of a pump administering insulin as well as a CGM sensor (plus transmitter), both communicating with a control algorithm integrated into a device (insulin pump, mobile phone/smart watch). Nevertheless, without manual pre-exercise adaptions, these systems still face a significant challenge around physical activity. Automatically adapting to the rapidly changing insulin requirements during unannounced exercise and physical activity is still the Achilles' heel of current AID systems. There is an urgent need for improving current AID-systems to safely and automatically maintain glucose management without causing derailments - so that going forward, exercise announcements will not be necessary in the future. Therefore, this narrative literature review aimed to discuss technological strategies to how current AID-systems can be improved in the future and become more proficient in overcoming the hurdle of unannounced exercise. For this purpose, the current state-of-the-art therapy recommendations for AID and exercise as well as novel research approaches are presented along with potential future solutions - in order to rectify their deficiencies in the endeavor to achieve fully automated AID-systems even around unannounced exercise.
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Affiliation(s)
- Rebecca Tanja Zimmer
- University of Bayreuth, 26523, Division Exercise Physiology and Metabolism Institute of Sport Science, Bayreuth, Bavaria, Germany;
| | - Alexander Auth
- University of Bayreuth, 26523, Division Exercise Physiology and Metabolism Institute of Sport Science, Bayreuth, Bavaria, Germany;
| | - Janis Schierbauer
- University of Bayreuth, 26523, Division Exercise Physiology and Metabolism Institute of Sport Science, Bayreuth, Bavaria, Germany;
| | - Sandra Haupt
- University of Bayreuth, 26523, Division Exercise Physiology and Metabolism Institute of Sport Science, Bayreuth, Bavaria, Germany;
| | - Nadine Wachsmuth
- University of Bayreuth, 26523, Division Exercise Physiology and Metabolism Institute of Sport Science, Bayreuth, Bavaria, Germany;
| | - Paul Zimmermann
- University of Bayreuth, 26523, Division Exercise Physiology and Metabolism Institute of Sport Science, Bayreuth, Bavaria, Germany;
| | - Thomas Voit
- University of Bayreuth, 26523, Division Exercise Physiology and Metabolism Institute of Sport Science, Bayreuth, Bavaria, Germany;
| | - Tadej Battelino
- University Children's Hospital, Ljubljana, Slovenia, Department of Endocrinology, Diabetes and Metabolism, Bohoriceva 20, Ljubljana, Slovenia, 1000
- Slovenia;
| | - Harald Sourij
- Medical University of Graz, 31475, Auenbruggerplatz 15, 8036 Graz, Graz, Austria, 8036;
| | - Othmar Moser
- University of Bayreuth, 26523, Division Exercise Physiology and Metabolism Institute of Sport Science, Universitätsstraße 30, Bayreuth, Bayern, Germany, 95440;
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Wijk I, Amsberg S, Johansson UB, Livheim F, Toft E, Anderbro T. Impact of an Acceptance and Commitment Therapy programme on HbA1c, self-management and psychosocial factors in adults with type 1 diabetes and elevated HbA1c levels: a randomised controlled trial. BMJ Open 2023; 13:e072061. [PMID: 38101850 PMCID: PMC10729111 DOI: 10.1136/bmjopen-2023-072061] [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: 01/21/2023] [Accepted: 12/06/2023] [Indexed: 12/17/2023] Open
Abstract
OBJECTIVE To evaluate the impact of an Acceptance and Commitment Therapy (ACT) programme, tailored for people living with type 1 diabetes, on glycated haemoglobin (HbA1c), self-management and psychosocial factors among individuals with HbA1c>60 mmol/mol compared with treatment as usual (TAU). SETTING An endocrinologic clinic in Sweden. PARTICIPANTS In this randomised controlled trial, 81 individuals with type 1 diabetes, aged 18-70 years with HbA1c>60 mmol/mol, were randomly assigned to either an ACT group intervention or TAU. Exclusion criteria were: unable to speak Swedish, untreated or severe psychiatric disease, cortisone treatment, untreated thyroid disease and newly started insulin pump therapy. At the 2-year follow-up, HbA1c was measured in 26 individuals. INTERVENTION The ACT programme comprised seven 2-hour sessions held over 14 weeks and focused on acceptance of stressful thoughts and emotions, and to promote value-based committed action. OUTCOMES The primary outcome was HbA1c, and the secondary outcomes were measures of depression, anxiety, general stress, fear of hypoglycaemia, diabetes distress, self-care activities, psychological flexibility (general and related to diabetes) and quality of life. The primary endpoint was HbA1c 2 years after the intervention programme. Linear mixed models were used to test for an interaction effect between measurement time and group. RESULTS Likelihood ratio test of nested models demonstrated no statistically significant interaction effect (χ2=0.49, p=0.485) between measurement time and group regarding HbA1c. However, a statistically significant interaction effect (likelihood ratio test χ2=12.63, p<0.001) was observed with improved scores on The Acceptance and Action Questionnaire in the intervention group after 1 and 2 years. CONCLUSIONS No statistically significant difference was found between the groups regarding the primary outcome measure, HbA1c. However, the ACT programme showed a persistent beneficial impact on psychological flexibility in the intervention group. The dropout rate was higher than expected, which may indicate a challenge in this type of study. TRIAL REGISTRATION NUMBER NCT02914496.
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Affiliation(s)
- Ingrid Wijk
- Department of Health Promoting Science, Sophiahemmet University, Stockholm, Sweden
| | - Susanne Amsberg
- Department of Health Care Sciences, Marie Cederschiöld University, Stockholm, Sweden
| | - Unn-Britt Johansson
- Department of Health Promoting Science, Sophiahemmet University, Stockholm, Sweden
- Department of Clinical Sciences and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - Fredrik Livheim
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Eva Toft
- Department of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden
- Department of Medicine, Ersta Hospital, Karolinska Institutet, Stockholm, Sweden
| | - Therese Anderbro
- Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden
- Department of Psychology, Stockholm University, Stockholm, Sweden
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D'Alessandro C, Todisco M, Di Bella C, Crimì F, Furian L, Quaia E, Vernuccio F. Surgical complications after pancreatic transplantation: A computed tomography imaging pictorial review. World J Gastroenterol 2023; 29:6049-6059. [PMID: 38130739 PMCID: PMC10731157 DOI: 10.3748/wjg.v29.i46.6049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 10/25/2023] [Accepted: 11/27/2023] [Indexed: 12/13/2023] Open
Abstract
Pancreatic transplantation is considered by the American Diabetes Association and the European Association for the Study of Diabetes an acceptable surgical procedure in patients with type 1 diabetes also undergoing kidney transplantation in pre-final or end-stage renal disease if no contraindications are present. Pancreatic transplantation, however, is a complex surgical procedure and may lead to a range of postoperative complications that can significantly impact graft function and patient outcomes. Postoperative computed tomography (CT) is often adopted to evaluate perfusion of the transplanted pancreas, identify complications and as a guide for interventional radiology procedures. CT assessment after pancreatic transplantation should start with the evaluation of the arterial Y-graft, the venous anastomosis and the duodenojejunostomy. With regard to complications, CT allows for the identification of vascular complications, such as thrombosis or stenosis of blood vessels supplying the graft, the detection of pancreatic fluid collections, including pseudocysts, abscesses, or leaks, the assessment of bowel complications (anastomotic leaks, ileus or obstruction), and the identification of bleeding. The aim of this pictorial review is to illustrate CT findings of surgical-related complications after pancreatic transplantation. The knowledge of surgical techniques is of key importance to understand postoperative anatomic changes and imaging evaluation. Therefore, we first provide a short summary of the main techniques of pancreatic transplantation. Then, we provide a practical imaging approach to pancreatic transplantation and its complications providing tips and tricks for the prompt imaging diagnosis on CT.
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Affiliation(s)
| | - Matteo Todisco
- Department of Radiology 2, University Hospital of Padova, Padova 35128, Italy
| | - Caterina Di Bella
- Department of Surgical, Kidney and Pancreas Transplantation Unit, Padova 35128, Italy
| | - Filippo Crimì
- Department of Radiology, University of Padova, Padova 35128, Italy
| | - Lucrezia Furian
- Kidney and Pancreas Transplantation Unit, University of Padua, Padova 35128, Italy
| | - Emilio Quaia
- Department of Radiology, University of Padova, Padova 35128, Italy
| | - Federica Vernuccio
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo 90127, Italy
- Department of Radiology, University Hospital of Padova, Padova 35128, Italy
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50
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Thomas NJ, Jones AG. The challenges of identifying and studying type 1 diabetes in adults. Diabetologia 2023; 66:2200-2212. [PMID: 37728732 PMCID: PMC10628058 DOI: 10.1007/s00125-023-06004-4] [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] [Received: 03/13/2023] [Accepted: 07/14/2023] [Indexed: 09/21/2023]
Abstract
Diagnosing type 1 diabetes in adults is difficult since type 2 diabetes is the predominant diabetes type, particularly with an older age of onset (approximately >30 years). Misclassification of type 1 diabetes in adults is therefore common and will impact both individual patient management and the reported features of clinically classified cohorts. In this article, we discuss the challenges associated with correctly identifying adult-onset type 1 diabetes and the implications of these challenges for clinical practice and research. We discuss how many of the reported differences in the characteristics of autoimmune/type 1 diabetes with increasing age of diagnosis are likely explained by the inadvertent study of mixed populations with and without autoimmune aetiology diabetes. We show that when type 1 diabetes is defined by high-specificity methods, clinical presentation, islet-autoantibody positivity, genetic predisposition and progression of C-peptide loss remain broadly similar and severe at all ages and are unaffected by onset age within adults. Recent clinical guidance recommends routine islet-autoantibody testing when type 1 diabetes is clinically suspected or in the context of rapid progression to insulin therapy after a diagnosis of type 2 diabetes. In this moderate or high prior-probability setting, a positive islet-autoantibody test will usually confirm autoimmune aetiology (type 1 diabetes). We argue that islet-autoantibody testing of those with apparent type 2 diabetes should not be routinely undertaken as, in this low prior-prevalence setting, the positive predictive value of a single-positive islet antibody for autoimmune aetiology diabetes will be modest. When studying diabetes, extremely high-specificity approaches are needed to identify autoimmune diabetes in adults, with the optimal approach depending on the research question. We believe that until these recommendations are widely adopted by researchers, the true phenotype of late-onset type 1 diabetes will remain largely misunderstood.
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Affiliation(s)
- Nicholas J Thomas
- Department of Clinical and Biological Sciences, University of Exeter, Exeter, UK
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Angus G Jones
- Department of Clinical and Biological Sciences, University of Exeter, Exeter, UK.
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK.
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