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Gutiérrez-Pastor A, Quesada JA, Soler-Martínez MM, Carratalá Munuera C, Pomares-Gómez FJ. Effect of switch from flash glucose monitoring to flash glucose monitoring with real-time alarms on hypoglycaemia in people with type 1 diabetes mellitus. Prim Care Diabetes 2024; 18:333-339. [PMID: 38677966 DOI: 10.1016/j.pcd.2024.04.003] [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: 01/12/2024] [Revised: 04/10/2024] [Accepted: 04/10/2024] [Indexed: 04/29/2024]
Abstract
We aimed to evaluate the utility of the FreeStyle Libre 2 device for reducing time below range level 1 and level 2 compared with the Freestyle Libre device (without alarms) in people with type 1 diabetes mellitus. We conducted longitudinal observational follow-up study of a cohort of 100 people with type 1 diabetes mellitus who had switched from FreeStyle Libre to FreeStyle Libre 2 as part of routine clinical practice. Three months after switching to FreeStyle Libre 2, compared with results with FreeStyle Libre, there were a significant improvements in time below range level 1 (p = 0.02) and level 2 (p <0.001), time in range (p <0.001), time above range level 1 (p = 0.002), glucose management indicator (p= 0.04) and mean glucose (p= 0.04) during follow-up. Furthermore there was a significant direct association between age and change in TIR with a coefficient of 0.23, and a significant inverse association between age and change in TAR-1 with a coefficient of 0.11. Switching to a flash glucose monitoring system with alarms improves time below range, time in range and coefficient of variation in people with type 1 diabetes mellitus.
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Affiliation(s)
- A Gutiérrez-Pastor
- Department of Health of San Juan de Alicante, Provincial-Pla Hospital, Spain
| | - J A Quesada
- Department of Clinical Medicine, Miguel Hernández University, Elche, Spain; Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), Spain
| | - M M Soler-Martínez
- Department of Health of San Juan de Alicante, Endocrinology and Nutrition, Spain
| | - C Carratalá Munuera
- Department of Clinical Medicine, Miguel Hernández University, Elche, Spain; Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), Spain.
| | - F J Pomares-Gómez
- Department of Health of San Juan de Alicante, Endocrinology and Nutrition, Spain
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2
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Molaee MC, Naseri ZG, Karami MA. Long-Term Cost-Effectiveness of Continuous Glucose Monitoring Versus Self-Monitoring of Blood Glucose in Adults With Type 1 Diabetes in Iran. Value Health Reg Issues 2024; 43:101002. [PMID: 38820700 DOI: 10.1016/j.vhri.2024.101002] [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: 11/27/2023] [Revised: 03/29/2024] [Accepted: 04/22/2024] [Indexed: 06/02/2024]
Abstract
OBJECTIVES This study aimed to determine long-term cost-effectiveness of continuous glucose monitoring (CGM) technology versus self-monitoring of blood glucose (SMBG) in adults with type 1 diabetes (T1D) using multiple daily injections in Iran. METHODS According to available data, the long-term costs and clinical outcomes of CGM and SMBG were estimated using the Sheffield Type 1 Diabetes Model, with a lifetime horizon from a payer's perspective. The primary outcome was the cost per quality-adjusted life year (QALY) gained. RESULTS The lifetime cost-effectiveness analysis demonstrated that on average, the use of CGM increased life expectancy by 1.32 years and QALYs by 1.63, compared with SMBG. The CGM group had an average discounted total cost of $40 093 US dollars, whereas the SMBG group had an average discounted total cost of $13 366. This resulted in an incremental cost-effectiveness ratio (ICER) of $16 386 per QALY gained, which is less than the threshold of 3 times the gross domestic product (GDP) per capita of Iran ($24 561). CONCLUSIONS Considering 3 times the GDP per capita as the threshold, CGM is likely to be cost-effective in Iran. However, for CGM to be very cost-effective (ie, have an ICER less than 1 times the GDP per capita) and presumably more accessible, the price of CGM should decrease to $40 per sensor, each with a lifespan of 14 days.
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Affiliation(s)
- Mohsen Choband Molaee
- Department of Pharmaceutics, Faculty of pharmacy, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Zahra Gharib Naseri
- Department of pharmacoeconomics and pharmaceutical management, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Masoud Ali Karami
- Department of Pharmaceutics, Faculty of pharmacy, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
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De Ridder F, Braspenning R, Ordonez JS, Klarenbeek G, Lauwers P, Ledeganck KJ, Delbeke D, De Block C. Early feasibility study with an implantable near-infrared spectroscopy sensor for glucose, ketones, lactate and ethanol. PLoS One 2024; 19:e0301041. [PMID: 38701088 PMCID: PMC11068174 DOI: 10.1371/journal.pone.0301041] [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] [Received: 05/30/2023] [Accepted: 02/18/2024] [Indexed: 05/05/2024] Open
Abstract
OBJECTIVE To evaluate the safety and performance of an implantable near-infrared (NIR) spectroscopy sensor for multi-metabolite monitoring of glucose, ketones, lactate, and ethanol. RESEARCH DESIGN AND METHODS This is an early feasibility study (GLOW, NCT04782934) including 7 participants (4 with type 1 diabetes (T1D), 3 healthy volunteers) in whom the YANG NIR spectroscopy sensor (Indigo) was implanted for 28 days. Metabolic challenges were used to vary glucose levels (40-400 mg/dL, 2.2-22.2 mmol/L) and/or induce increases in ketones (ketone drink, up to 3.5 mM), lactate (exercise bike, up to 13 mM) and ethanol (4-8 alcoholic beverages, 40-80g). NIR spectra for glucose, ketones, lactate, and ethanol levels analyzed with partial least squares regression were compared with blood values for glucose (Biosen EKF), ketones and lactate (GlucoMen LX Plus), and breath ethanol levels (ACE II Breathalyzer). The effect of potential confounders on glucose measurements (paracetamol, aspartame, acetylsalicylic acid, ibuprofen, sorbitol, caffeine, fructose, vitamin C) was investigated in T1D participants. RESULTS The implanted YANG sensor was safe and well tolerated and did not cause any infectious or wound healing complications. Six out 7 sensors remained fully operational over the entire study period. Glucose measurements were sufficiently accurate (overall mean absolute (relative) difference MARD of 7.4%, MAD 8.8 mg/dl) without significant impact of confounders. MAD values were 0.12 mM for ketones, 0.16 mM for lactate, and 0.18 mM for ethanol. CONCLUSIONS The first implantable multi-biomarker sensor was shown to be well tolerated and produce accurate measurements of glucose, ketones, lactate, and ethanol. TRIAL REGISTRATION Clinical trial identifier: NCT04782934.
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Affiliation(s)
- Francesca De Ridder
- Department of Endocrinology-Diabetology-Metabolism, Antwerp University Hospital, Antwerp, Belgium
- Faculty of Medicine & Health Science, Laboratory of Experimental Medicine and Pediatrics, University of Antwerp, Antwerp, Belgium
| | - Rie Braspenning
- Department of Endocrinology-Diabetology-Metabolism, Antwerp University Hospital, Antwerp, Belgium
| | | | | | - Patrick Lauwers
- Department of Vascular & Thoracic Surgery, Antwerp University Hospital, Antwerp, Belgium
| | - Kristien J. Ledeganck
- Faculty of Medicine & Health Science, Laboratory of Experimental Medicine and Pediatrics, University of Antwerp, Antwerp, Belgium
| | | | - Christophe De Block
- Department of Endocrinology-Diabetology-Metabolism, Antwerp University Hospital, Antwerp, Belgium
- Faculty of Medicine & Health Science, Laboratory of Experimental Medicine and Pediatrics, University of Antwerp, Antwerp, Belgium
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González-Vidal T, Rivas-Otero D, Agüeria-Cabal P, Ramos-Ruiz G, Delgado E, Menéndez-Torre E. Continuous Glucose Monitoring Alarms in Adults with Type 1 Diabetes: User Characteristics and the Impact of Hypoglycemia and Hyperglycemia Alarm Thresholds on Glycemic Control. Diabetes Technol Ther 2024; 26:313-323. [PMID: 38156962 DOI: 10.1089/dia.2023.0460] [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: 01/03/2024]
Abstract
Background: Few studies have evaluated the implications of the alarm thresholds of continuous glucose monitoring (CGM) systems for individuals with diabetes. The present study aimed to investigate the influence of hypoglycemia and hyperglycemia alarm thresholds on glycemic control in adults with type 1 diabetes (T1DM) and the characteristics of patients who use these alarms more frequently. Methods: This observational cross-sectional study included 873 users of the FreeStyle Libre 2 system (501 men, median age 48 years, range 18-90 years) with T1DM from a single center. We investigated the role of demographic and metabolic factors on the use of alarms and the impact of hypoglycemia and hyperglycemia alarms and their thresholds on glycemic control. Results: Alarm users were older than nonusers (median age 49 vs. 43 years, respectively; P < 0.001). The hypoglycemia alarms were set by 76.1% of women and by 69.1% of men (P = 0.022). The hypoglycemia alarms reduced hypoglycemia features and glucose variability, although at the expense of shorter time in range. The higher the hypoglycemia alarm threshold, the greater these effects. The hyperglycemia alarms were effective in reducing hyperglycemia and lowering the glucose management indicator, although at the expense of a greater tendency to hypoglycemia. The lower the hyperglycemia alarm threshold, the greater these effects. Conclusions: CGM alarms contribute to better glycemic control. However, hypoglycemia and hyperglycemia alarms have advantages and disadvantages. Adults with T1DM should explore, under medical supervision, which alarm thresholds will best help them achieve their individual glycemic goals.
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Affiliation(s)
- Tomás González-Vidal
- Department of Endocrinology and Nutrition, Hospital Universitario Central de Asturias/University of Oviedo, Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
| | - Diego Rivas-Otero
- Department of Endocrinology and Nutrition, Hospital Universitario Central de Asturias/University of Oviedo, Oviedo, Spain
| | - Pablo Agüeria-Cabal
- Department of Endocrinology and Nutrition, Hospital Universitario Central de Asturias/University of Oviedo, Oviedo, Spain
| | - Guillermo Ramos-Ruiz
- Department of Endocrinology and Nutrition, Hospital Universitario Central de Asturias/University of Oviedo, Oviedo, Spain
| | - Elías Delgado
- Department of Endocrinology and Nutrition, Hospital Universitario Central de Asturias/University of Oviedo, Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
- Department of Medicine, University of Oviedo, Oviedo, Spain
- Centre for Biomedical Network Research on Rare Diseases (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
| | - Edelmiro Menéndez-Torre
- Department of Endocrinology and Nutrition, Hospital Universitario Central de Asturias/University of Oviedo, Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
- Department of Medicine, University of Oviedo, Oviedo, Spain
- Centre for Biomedical Network Research on Rare Diseases (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
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Preechasuk L, Avari P, Oliver N, Reddy M. Switching from Intermittently Scanned Continuous Glucose Monitoring to Real-Time Continuous Glucose Monitoring with a Predictive Urgent Low Soon Alert Reduces Exposure to Hypoglycemia. Diabetes Technol Ther 2024. [PMID: 38315504 DOI: 10.1089/dia.2023.0434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2024]
Abstract
Differences in the effectiveness of real-time continuous glucose monitoring (rtCGM) and intermittently scanned continuous glucose monitoring (isCGM) in type 1 diabetes (T1D) are reported. The impact on percent time in range of switching from an isCGM with glucose threshold-based optional alerts only (FreeStyle Libre 2 [FSL2]) to an rtCGM (Dexcom G7) with an urgent low soon predictive alert was assessed, alongside other secondary outcomes including hemoglobin A1c (HbA1c) and other continuous glucose monitoring metrics. Adults with T1D using FSL2 were switched to Dexcom G7 for 12 weeks. HbA1c and continuous glucose data during FSL2 and Dexcom G7 use were compared. Data from 29 participants (aged 44.8 ± 16.5 years, 12 male and 17 female) were analyzed. After switching to rtCGM, participants spent less time in hypoglycemia below 3.9 mmol/L (70 mg/dL) (3.0% [1.0%, 5.0%] vs. 2.0% [1.0%, 3.0%], P = 0.006) and had higher percentage achievement of time below 3.9 mmol/L (70 mg/dL) of <4% (55.2% vs. 82.8%, P = 0.005). Coefficient of variation was lower (39.3 ± 6.6% vs. 37.2 ± 5.6%, P = 0.008). In conclusion, adults with T1D who switched from isCGM to rtCGM may benefit from reduced exposure to hypoglycemia and glycemic variability.
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Affiliation(s)
- Lukana Preechasuk
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
- Siriraj Diabetes Center of Excellence, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Parizad Avari
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
- Department of Diabetes and Endocrinology, Imperial College Healthcare NHS Trust, London, United Kingdom
| | - Nick Oliver
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
- Department of Diabetes and Endocrinology, Imperial College Healthcare NHS Trust, London, United Kingdom
| | - Monika Reddy
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
- Department of Diabetes and Endocrinology, Imperial College Healthcare NHS Trust, London, United Kingdom
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Gupta A, Mukherjee S, Kumar Bhadada S, Ram S, Pal R, Sachdeva N, Dutta P. Impact of short-term application of continuous glucose monitoring system(CGMS) on long-term glycemic profile in adolescents and adults with type 1 diabetes mellitus: An open-label randomized control cross over study. Diabetes Res Clin Pract 2024; 210:111610. [PMID: 38484983 DOI: 10.1016/j.diabres.2024.111610] [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: 12/23/2023] [Revised: 02/27/2024] [Accepted: 03/10/2024] [Indexed: 03/19/2024]
Abstract
AIMS The use of Continuous Glucose Monitoring System (CGMS) improves glycemic parameters in Type 1 Diabetes Mellitus (T1D), but the cost is prohibitive. Here, we investigated the effect of short-term application of real-time and intermittently-scanned CGMS (rt and is-CGMS) in T1D individuals on change in HbA1c at the end of 3 months. METHODS T1D individuals were randomized into three groups in a ratio of 1:1:2 - Group A (rt-CGMS for 2 weeks initially, followed by is-CGMS for 2 weeks at 3 months), Group B (is-CGMS for 2 weeks initially followed by rt-CGMS for 2 weeks at 3 months) and Group C (only self-monitoring of blood glucose), respectively. HbA1c at baseline, 3, and 6 months were compared. RESULTS Out of a total 68 T1D patients, HbA1c decreased significantly in groups A and B at 6 months compared to the baseline, but not in group C. HbA1c was significantly lower in Group A compared to Group C at 3 and 6 months. Fructosamine levels significantly decreased in Group B before and after cross-over. Glycemic variability indices improved significantly after cross-over from is-CGMS to rt-CGMS. CONCLUSION Intermittent application of CGMS for 2 weeks improves short- and long-term blood glucose control in T1D.
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Affiliation(s)
- Ashish Gupta
- Department of Endocrinology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Soham Mukherjee
- Department of Endocrinology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
| | - Sanjay Kumar Bhadada
- Department of Endocrinology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Sant Ram
- Department of Biochemistry, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Rimesh Pal
- Department of Endocrinology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Naresh Sachdeva
- Department of Endocrinology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Pinaki Dutta
- Department of Endocrinology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
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McClure RD, Talbo MK, Bonhoure A, Molveau J, South CA, Lebbar M, Wu Z. Exploring Technology's Influence on Health Behaviours and Well-being in Type 1 Diabetes: a Review. Curr Diab Rep 2024; 24:61-73. [PMID: 38294726 DOI: 10.1007/s11892-024-01534-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/17/2024] [Indexed: 02/01/2024]
Abstract
PURPOSE OF REVIEW Maintaining positive health behaviours promotes better health outcomes for people with type 1 diabetes (T1D). However, implementing these behaviours may also lead to additional management burdens and challenges. Diabetes technologies, including continuous glucose monitoring systems, automated insulin delivery systems, and digital platforms, are being rapidly developed and widely used to reduce these burdens. Our aim was to review recent evidence to explore the influence of these technologies on health behaviours and well-being among adults with T1D and discuss future directions. RECENT FINDINGS Current evidence, albeit limited, suggests that technologies applied in diabetes self-management education and support (DSME/S), nutrition, physical activity (PA), and psychosocial care areas improved glucose outcomes. They may also increase flexibility in insulin adjustment and eating behaviours, reduce carb counting burden, increase confidence in PA, and reduce mental burden. Technologies have the potential to promote health behaviours changes and well-being for people with T1D. More confirmative studies on their effectiveness and safety are needed to ensure optimal integration in standard care practices.
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Affiliation(s)
- Reid D McClure
- Faculty of Kinesiology, Sport and Recreation, University of Alberta, 3-100 University Hall, Edmonton, AB, T6G 2H9, Canada
- Alberta Diabetes Institute, Li Ka Shing Centre, University of Alberta, Edmonton, AB, T6G 2T9, Canada
| | - Meryem K Talbo
- School of Human Nutrition, McGill University, 21111 Lakeshore Dr, Sainte-Anne-de-Bellevue, Quebec, H9X 3V9, Canada
| | - Anne Bonhoure
- Montreal Clinical Research Institute, 110 Pine Ave W, Montreal, QC, H2W 1R7, Canada
- Department of Nutrition, Faculty of Medicine, Universite de Montréal, 2405, Chemin de La Côte-Sainte-Catherine, Montreal, QC, H3T 1A8, Canada
| | - Joséphine Molveau
- Montreal Clinical Research Institute, 110 Pine Ave W, Montreal, QC, H2W 1R7, Canada
- Department of Nutrition, Faculty of Medicine, Universite de Montréal, 2405, Chemin de La Côte-Sainte-Catherine, Montreal, QC, H3T 1A8, Canada
- Univ. Lille, Univ. Artois, Univ. Littoral Côte d'Opale, ULR 7369 - URePSSS - Unité de Recherche Pluridisciplinaire Sport Santé Société, Lille, France
| | - Courtney A South
- School of Human Nutrition, McGill University, 21111 Lakeshore Dr, Sainte-Anne-de-Bellevue, Quebec, H9X 3V9, Canada
| | - Maha Lebbar
- Montreal Clinical Research Institute, 110 Pine Ave W, Montreal, QC, H2W 1R7, Canada
- Department of Nutrition, Faculty of Medicine, Universite de Montréal, 2405, Chemin de La Côte-Sainte-Catherine, Montreal, QC, H3T 1A8, Canada
| | - Zekai Wu
- Montreal Clinical Research Institute, 110 Pine Ave W, Montreal, QC, H2W 1R7, Canada.
- Department of Medicine, Division of Experimental Medicine, McGill University, 1001 Décarie Boulevard, Montreal, QC, H4A 3J1, Canada.
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Visser MM, Van Muylder A, Charleer S, Isitt JJ, Roze S, De Block C, Maes T, Vanhaverbeke G, Nobels F, Keymeulen B, Mathieu C, Luyten J, Gillard P, Verhaeghe N. Cost-utility analysis of Dexcom G6 real-time continuous glucose monitoring versus FreeStyle Libre 1 intermittently scanned continuous glucose monitoring in adults with type 1 diabetes in Belgium. Diabetologia 2024; 67:650-662. [PMID: 38236409 DOI: 10.1007/s00125-023-06084-2] [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: 07/05/2023] [Accepted: 11/08/2023] [Indexed: 01/19/2024]
Abstract
AIMS/HYPOTHESIS The aim of this study was to assess the long-term cost-effectiveness of Dexcom G6 real-time continuous glucose monitoring (rtCGM) with alert functionality compared with FreeStyle Libre 1 intermittently scanned continuous glucose monitoring (isCGM) without alerts in adults with type 1 diabetes in Belgium. METHODS The IQVIA CORE Diabetes Model was used to estimate cost-effectiveness. Input data for the simulated baseline cohort were sourced from the randomised ALERTT1 trial (ClinicalTrials.gov. REGISTRATION NO NCT03772600). The age of the participants was 42.9 ± 14.1 years (mean ± SD), and the baseline HbA1c was 57.8 ± 9.5 mmol/mol (7.4 ± 0.9%). Participants using rtCGM showed a reduction in HbA1c of 3.6 mmol/mol (0.36 percentage points) based on the 6-month mean between-group difference. In the base case, both rtCGM and isCGM were priced at €3.92/day (excluding value-added tax [VAT]) according to the Belgian reimbursement system. The analysis was performed from a Belgian healthcare payer perspective over a lifetime time horizon. Health outcomes were expressed as quality-adjusted life years. Probabilistic and one-way sensitivity analyses were used to account for parameter uncertainty. RESULTS In the base case, rtCGM dominated isCGM, resulting in lower diabetes-related complication costs and better health outcomes. The associated main drivers favouring rtCGM were lower HbA1c, fewer severe hypoglycaemic events and reduced fear of hypoglycaemia. The results were robust under a wide range of one-way sensitivity analyses. In models where the price of rtCGM is €5.11/day (a price increase of 30.4%) or €12.34/day (a price increase of 214.8%), rtCGM was cost-neutral or reached an incremental cost-effectiveness ratio of €40,000 per quality-adjusted life year, respectively. CONCLUSIONS/INTERPRETATION When priced similarly, Dexcom G6 rtCGM with alert functionality has both economic and clinical benefits compared with FreeStyle Libre 1 isCGM without alerts in adults with type 1 diabetes in Belgium, and appears to be a cost-effective glucose monitoring modality. Trial registration ClinicalTrials.gov NCT03772600.
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Affiliation(s)
- Margaretha M Visser
- Department of Endocrinology, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | | | - Sara Charleer
- Department of Endocrinology, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | | | | | - Christophe De Block
- Department of Endocrinology-Diabetology-Metabolism, University Hospital Antwerp, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Toon Maes
- Department of Endocrinology, Imeldaziekenhuis Bonheiden, Bonheiden, Belgium
| | | | - Frank Nobels
- Department of Endocrinology, OLV Hospital Aalst, Aalst, Belgium
| | - Bart Keymeulen
- Academic Hospital and Diabetes Research Centre, Vrije Universiteit Brussel, Brussels, Belgium
| | - Chantal Mathieu
- Department of Endocrinology, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | - Jeroen Luyten
- Leuven Institute for Healthcare Policy, KU Leuven, Leuven, Belgium
| | - Pieter Gillard
- Department of Endocrinology, University Hospitals Leuven, KU Leuven, Leuven, Belgium.
| | - Nick Verhaeghe
- Research Institute for Work and Society, KU Leuven, Leuven, Belgium
- Department of Public Health and Primary Care, Interuniversity Centre for Health Economics Research, Ghent University, Ghent, Belgium
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Uhl S, Choure A, Rouse B, Loblack A, Reaven P. Effectiveness of Continuous Glucose Monitoring on Metrics of Glycemic Control in Type 2 Diabetes Mellitus: A Systematic Review and Meta-analysis of Randomized Controlled Trials. J Clin Endocrinol Metab 2024; 109:1119-1131. [PMID: 37987208 DOI: 10.1210/clinem/dgad652] [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: 06/23/2023] [Indexed: 11/22/2023]
Abstract
PURPOSE To provide a systematic review and meta-analysis synthesizing the findings of randomized controlled trials (RCTs) of continuous glucose monitors (CGMs) in the management of adults with type 2 diabetes mellitus (T2DM) on glucose control and clinical outcomes. METHODS MEDLINE, Embase, and Cochrane were searched for RCTs that assessed the effectiveness of real-time CGM (rt-CGM) or flash CGM (FGM) in adults (≥18 years) with T2DM that reported on at least 1 of the following outcomes: hemoglobin A1c (HbA1c), time in range, time in hyperglycemia, or time in hypoglycemia. The GRADE approach was used to assess certainty of evidence for primary outcomes. RESULTS Fourteen RCTs assessing CGM were included, with 825 patients in 9 RCTs using rt-CGM and 822 in 5 RCTs using FGM. Moderate certainty of evidence indicated that use of CGM had a modest but statistically significant reduction in HbA1c levels of about 0.32%. Our analyses of each device type separately showed similar reductions in HbA1c (0.34% and 0.33%, respectively, for rt-CGM and FGM), with trends for improvement in other glucose metrics favoring rt-CGM over self-monitored blood glucose. CONCLUSION Both rt-CGM and flash CGM led to modest but statistically significant declines in HbA1c among individuals with T2DM, with little heterogeneity in the results. However, the duration of the included RCTs was relatively short and few studies reported on important clinical outcomes, such as adverse events, emergency department use, or hospitalization. Longer term studies are needed to determine if the short-term improvements in glucose control leads to improvements in clinically important outcomes.
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Affiliation(s)
| | - Anuja Choure
- University of Arizona College of Medicine, Tucson, AZ 85724, USA
- Phoenix VA Healthcare System, Phoenix, AZ 85012, USA
| | | | | | - Peter Reaven
- Phoenix VA Healthcare System, Phoenix, AZ 85012, USA
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Dovc K, Bode BW, Battelino T. Continuous and Intermittent Glucose Monitoring in 2023. Diabetes Technol Ther 2024; 26:S14-S31. [PMID: 38441451 DOI: 10.1089/dia.2024.2502] [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: 03/07/2024]
Affiliation(s)
- Klemen Dovc
- University Medical Center Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Bruce W Bode
- Atlanta Diabetes Associates and Emory University School of Medicine, Atlanta, GA, USA
| | - Tadej Battelino
- University Medical Center Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
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11
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Maahs DM, Prahalad P, Schweiger DS, Shalitin S. Diabetes Technology and Therapy in the Pediatric Age Group. Diabetes Technol Ther 2024; 26:S117-S140. [PMID: 38441448 DOI: 10.1089/dia.2024.2508] [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: 03/07/2024]
Affiliation(s)
- David M Maahs
- Department of Pediatrics, Division of Endocrinology and Diabetes, Stanford University, Stanford, CA
- Stanford Diabetes Research Center, Stanford University, Stanford, CA
- Department of Health Research and Policy (Epidemiology), Stanford University, Stanford, CA
| | - Priya Prahalad
- Department of Pediatrics, Division of Endocrinology and Diabetes, Stanford University, Stanford, CA
- Stanford Diabetes Research Center, Stanford University, Stanford, CA
| | - Darja Smigoc Schweiger
- Department of Pediatric Endocrinology, Diabetes and Metabolic Diseases, University Children's Hospital, University Medical Centre Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Shlomit Shalitin
- Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
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12
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Zhou Y, Sardana D, Kuroko S, Haszard JJ, de Block MI, Weng J, Jefferies C, Wheeler BJ. Comparing the glycaemic outcomes between real-time continuous glucose monitoring (rt-CGM) and intermittently scanned continuous glucose monitoring (isCGM) among adults and children with type 1 diabetes: A systematic review and meta-analysis of randomized controlled trials. Diabet Med 2024; 41:e15280. [PMID: 38197238 DOI: 10.1111/dme.15280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 12/12/2023] [Accepted: 12/22/2023] [Indexed: 01/11/2024]
Abstract
AIM To conduct a systematic review and meta-analysis of randomized controlled trials (RCTs) comparing the effectiveness of real-time continuous glucose monitoring (rtCGM) versus intermittently scanned continuous glucose monitoring (isCGM) on key glycaemic metrics (co-primary outcomes HbA1c and time-in-range [TIR] 70-180 mg/dL, 3.9-10.0 mmol/L) among people with type 1 diabetes (T1D). METHODS Medline, PubMed, Scopus, Web of Science and Cochrane Central Register of clinical trials were searched. Inclusion criteria were RCTs; T1D populations of any age and insulin regimen; comparing any type of rtCGM with isCGM (only the first generation had been compared to date); and reporting the glycaemic outcomes. Glycaemic outcomes were extracted post-intervention and expressed as mean differences and 95% CIs between the two comparators. Results were pooled using a random-effect meta-analysis. The risk of bias was assessed using the Cochrane RoB2 tool. The quality of evidence was assessed by the GRADE approach. RESULTS Five RCTs met the inclusion criteria (4 parallel and 1 crossover design; 4 with CGM use <8 weeks), involving 446 participants (354 adults; 92 children and adolescents). Overall, meta-analysis showed rtCGM compared to isCGM improved absolute TIR by +7.0% (95% CI: 5.8%-8.3%, I2 = 0%, p < 0.01) accompanied by a favorable effect on time-below-range <70 mg/dL (3.9 mmol/L) - 1.7% (95%CI: -3.0% to -0.4%; p = 0.03). No differences were seen regarding HbA1c. CONCLUSIONS This meta-analysis highlights that for people with T1D, rtCGM confers benefits over isCGM primarily related to increased TIR, with improvements in hypo- and hyperglycaemia.
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Affiliation(s)
- Yongwen Zhou
- Department of Women's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
- Department of Endocrinology, Institute of Endocrine and Metabolic Diseases, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Clinical Research Hospital of Chinese Academy of Sciences (Hefei), University of Science and Technology of China, Hefei, Anhui, China
| | - Divesh Sardana
- Division of Pediatric Dentistry, Department of Developmental Sciences, Oklahoma University Health Sciences Center, Oklahoma, USA
| | - Sarahmarie Kuroko
- Department of Women's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | | | - Martin I de Block
- Department of Paediatrics, University of Otago, Christchurch, New Zealand
- Department of Paediatrics, Te Whatu Ora -Waitaha, New Zealand
| | - Jianping Weng
- Department of Endocrinology, Institute of Endocrine and Metabolic Diseases, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Clinical Research Hospital of Chinese Academy of Sciences (Hefei), University of Science and Technology of China, Hefei, Anhui, China
| | - Craig Jefferies
- Starship Child Health, Te Whatu Ora - Health New Zealand, Te Toka Tumai Auckland
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Benjamin John Wheeler
- Department of Women's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
- Paediatric Endocrinology, Te Whatu Ora/Health New Zealand - Southern, Dunedin, New Zealand
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13
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Sehgal S, Boucsein A, Styles S, Palmer O, Paul RG, Crocket H, de Bock M, Wheeler BJ. Do-it-yourself continuous glucose monitoring in people aged 16 to 69 years with type 1 diabetes: A qualitative study. Diabet Med 2024; 41:e15168. [PMID: 37393600 DOI: 10.1111/dme.15168] [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: 02/09/2023] [Revised: 05/29/2023] [Accepted: 06/18/2023] [Indexed: 07/04/2023]
Abstract
AIMS In many countries, real-time continuous glucose monitoring (rt-CGM) is not funded, and cost presents a barrier to access. A do-it-yourself conversion of intermittently scanned CGM (DIY-CGM) is a cheaper alternative. This qualitative study aimed to explore user experiences with DIY-CGM in people aged 16 to 69 years with type 1 diabetes (T1D). METHODS Convenience sampling was used to recruit participants for semi-structured virtual interviews exploring experiences of DIY-CGM use. Participants were recruited after completing the intervention arm of a crossover randomised controlled trial that evaluated DIY-CGM versus intermittently scanned CGM (isCGM). Participants were previously naive to DIY-CGM and rt-CGM but not isCGM. The DIY-CGM intervention consisted of a Bluetooth bridge connected to isCGM, adding rt-CGM functionality over 8 weeks. Interviews were transcribed, then thematic analysis was performed. RESULTS Interviews were with 12 people aged 16 to 65 years, with T1D: mean age ± SD 43 ± 14 years; baseline mean HbA1c ± SD 60 mmol/mol ± 9.9 (7.6 ± 0.9%) and time in range 59.8% ± 14.8%. Participants perceived that using DIY-CGM improved both glycaemic control and aspects of quality of life. Alarm and trend functionality allowed participants to perceive reduced glycaemic variability overnight and following meals. The addition of a smartwatch increased discrete access to glucose information. There was a high degree of trust in DIY-CGM. Challenges while using DIY-CGM included signal loss during vigorous exercise, alarm fatigue and short battery life. CONCLUSIONS This study suggests that for users, DIY-CGM appears to be an acceptable alternative method of rt-CGM.
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Affiliation(s)
- Shekhar Sehgal
- Department of Women's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Alisa Boucsein
- Department of Women's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Sara Styles
- Department of Human Nutrition, Division of Sciences, University of Otago, Dunedin, New Zealand
| | - Octavia Palmer
- Department of Women's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Ryan G Paul
- Te Huataki Waiora School of Health, University of Waikato, Hamilton, New Zealand
| | - Hamish Crocket
- Te Huataki Waiora School of Health, University of Waikato, Hamilton, New Zealand
| | - Martin de Bock
- Department of Paediatrics, University of Otago, Christchurch, New Zealand
- Department of Paediatrics, Te Whatu Ora, Waitaha Canterbury, Canterbury, New Zealand
| | - Benjamin J Wheeler
- Department of Women's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
- Department of Paediatrics, Te Whatu Ora Southern, Dunedin, New Zealand
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14
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Mark-Wagstaff C, Deshmukh H, Wilmot EG, Walker N, Barnes D, Parfitt V, Saunders S, Gregory R, Choudhary P, Patmore J, Walton C, Ryder REJ, Sathyapalan T. Intermittently scanned continuous glucose monitoring and hypoglycaemia awareness in drivers with diabetes: Insights from the Association of British Clinical Diabetologists Nationwide audit. Diabetes Obes Metab 2024; 26:46-53. [PMID: 37718554 DOI: 10.1111/dom.15283] [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: 07/24/2023] [Revised: 08/21/2023] [Accepted: 08/28/2023] [Indexed: 09/19/2023]
Abstract
AIM Frequent hypoglycaemia results in disruption to usual hypoglycaemic autonomic responses leading to impaired awareness of hypoglycaemia, which is associated with an increased risk of severe hypoglycaemia requiring third-party assistance (SH). The UK Driving and Vehicle Licensing Agency (DVLA) does not permit car driving if they have either a complete loss of hypoglycaemia awareness or more than one SH event a year. METHODS The FreeStyle Libre (FSL) Association of British Clinical Diabetologists (ABCD) Nationwide Audit consists of data collected by clinicians during routine clinical work, submitted into a secure web-based tool held within the National Health Service (NHS) N3 network. Analysis of paired baseline and follow-up data for people with type 1 diabetes who also held a driving licence was undertaken. RESULTS The study consisted of 6304 people who had data recorded about driving status from 102 UK specialist diabetes centres, of which 4218 held a driving licence: 4178 a group 1, standard licence, 33 a group 2, large lorries and buses, seven a taxi licence; 1819 did not drive. Paired baseline and follow-up data were available for a sub-cohort of 1606/4218. At a mean follow-up of 6.9 months [95% CI (6.8, 7.1)], the Gold score had improved (2.3 ± 1.5 vs. 2.0 ± 1.3 p < .001), and the number of people who experienced an SH episode was also significantly lower (12.1% vs. 2.7%, p < .001). CONCLUSION This study suggests that intermittently scanned continuous glucose monitoring may improve impaired awareness of hypoglycaemia and reduce the number of people with type 1 diabetes with a driving licence experiencing a severe hypoglycaemic episode.
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Affiliation(s)
| | - Harshal Deshmukh
- Hull University Teaching Hospitals NHS Trust, Hull, UK
- University of Hull, Hull, UK
| | - Emma G Wilmot
- University of Nottingham, Nottingham, UK
- University Hospitals of Derby and Burton NHS Foundation Trust, Derby, UK
| | - Neil Walker
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Dennis Barnes
- Maidstone and Tunbridge Wells NHS Trust, Tunbridge Wells, UK
| | | | | | - Rob Gregory
- University Hospitals of Leicester NHS Trust, Leicester, UK
| | | | - Jane Patmore
- Hull University Teaching Hospitals NHS Trust, Hull, UK
| | - Chris Walton
- Hull University Teaching Hospitals NHS Trust, Hull, UK
| | - Robert E J Ryder
- Sandwell and West Birmingham Hospitals NHS Trust, Birmingham, UK
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15
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ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. 7. Diabetes Technology: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S126-S144. [PMID: 38078575 PMCID: PMC10725813 DOI: 10.2337/dc24-s007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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16
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Lu J, Ying Z, Wang P, Fu M, Han C, Zhang M. Effects of continuous glucose monitoring on glycaemic control in type 2 diabetes: A systematic review and network meta-analysis of randomized controlled trials. Diabetes Obes Metab 2024; 26:362-372. [PMID: 37828805 DOI: 10.1111/dom.15328] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 09/05/2023] [Accepted: 09/26/2023] [Indexed: 10/14/2023]
Abstract
AIMS The aim of this study was to assess the efficacy of continuous glucose monitoring (CGM) versus self-monitoring of blood glucose (SMBG) in maintaining glycaemic control among people with type 2 diabetes mellitus (T2DM). MATERIALS AND METHODS The protocol was registered in PROSPERO (CRD42023387583). PubMed, Web of Science, EMBASE and OVID databases were searched from 1 January 2000 until 31 December 2022 for randomized controlled trials comparing CGM with SMBG in glycaemic control among the outpatients with T2DM. The primary endpoint was glycated haemoglobin, while the secondary endpoints included time in range, time below range and time above range. Both traditional and network meta-analyses were conducted to explore the efficacy of CGM on glycaemic control in T2DM. RESULTS Eleven high-quality studies, involving 1425 individuals with T2DM, were identified. Traditional meta-analysis revealed that CGM exhibited a significantly decreased [mean difference (MD): -0.31, 95% confidence interval (CI) (-0.45, -0.18)], time above range [MD: -9.06%, 95% CI (-16.00, -2.11)], time below range [MD: -0.30%, 95% CI (-0.49, -0.12)] and a significantly increased time in range [MD: 8.49%, 95% CI (3.96, 13.02)] compared with SMBG. The network meta-analysis showed that real-time CGM can improve the glycaemic control of patients with T2DM to the most extent. CONCLUSIONS CGM could provide T2DM with greater benefits in glycaemic management compared with SMBG, particularly in patients using real-time CGM. These findings provide an updated perspective on previous research and offer guidance for CGM use in T2DM.
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Affiliation(s)
- Jiaping Lu
- Department of Endocrinology, Qingpu Branch of Zhongshan Hospital Affiliated to Fudan University, Shanghai, China
| | - Zhen Ying
- Ministry of Education Key Laboratory of Metabolism and Molecular Medicine, Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ping Wang
- Department of Endocrinology, Qingpu Branch of Zhongshan Hospital Affiliated to Fudan University, Shanghai, China
| | - Minjie Fu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Chenyu Han
- Department of Endocrinology, Qingpu Branch of Zhongshan Hospital Affiliated to Fudan University, Shanghai, China
| | - Min Zhang
- Department of Endocrinology, Qingpu Branch of Zhongshan Hospital Affiliated to Fudan University, Shanghai, China
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17
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Maiorino MI, Buzzetti R, Irace C, Laviola L, Napoli N, Pitocco D, Esposito K. An updated algorithm for an effective choice of continuous glucose monitoring for people with insulin-treated diabetes. Endocrine 2023; 82:215-225. [PMID: 37676398 PMCID: PMC10543826 DOI: 10.1007/s12020-023-03473-w] [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: 05/06/2023] [Accepted: 07/25/2023] [Indexed: 09/08/2023]
Abstract
PURPOSE Continuous Glucose Monitoring (CGM) is a key tool for insulin-treated people with diabetes (PwD). CGM devices include both real-time CGM (rtCGM) and intermittently scanned CGM (isCGM), which are associated with an improvement of glucose control and less hypoglycemia in clinical trials of people with type 1 and type 2 diabetes. METHODS This is an expert position to update a previous algorithm on the most suitable choice of CGM for insulin-treated PwD in light of the recent evidence and clinical practice. RESULTS We identified six different clinical scenarios, including type 1 diabetes, type 2 diabetes, pregnancy on intensive insulin therapy, regular physical exercise, new onset of diabetes, and frailty. The use of rtCGM or isCGM is suggested, on the basis of the predominant clinical issue, as suboptimal glucose control or disabling hypoglycemia, regardless of baseline HbA1c or individualized HbA1c target. CONCLUSION The present algorithm may help to select the best CGM device based on patients' clinical characteristics, needs and clinical context, offering a further opportunity of a "tailored" therapy for people with insulin-treated diabetes.
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Affiliation(s)
- Maria Ida Maiorino
- Unit of Endocrinology and Metabolic Diseases, University Hospital Luigi Vanvitelli, Piazza Miraglia 2, 80138, Naples, Italy.
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Piazza Miraglia 2, 80138 Naples, Naples, Italy.
| | - Raffaella Buzzetti
- Department of Experimental Medicine, "Sapienza" University of Rome, Viale Regina Elena 324, 00161, Rome, Italy
| | - Concetta Irace
- Department of Health Science, University Magna Graecia, Viale Europa, 88100, Catanzaro, Italy
| | - Luigi Laviola
- Department of Precision and Regenerative Medicine and Ionian Area, Section of Internal Medicine, Endocrinology, Andrology and Metabolic Diseases, University of Bari Aldo Moro, Piazza Giulio Cesare 11, 70124, Bari, Italy
| | - Nicola Napoli
- Fondazione Policlinico Universitario Campus Bio-Medico, Research Unit of Endocrinology and Diabetes, Department of Medicine and Surgery, Università Campus Bio-Medico of Rome, Via Alvaro del Portillo 21, 00128, Rome, Italy
| | - Dario Pitocco
- Diabetes Care Unit, Department of Translational Medicine and Surgery, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo Francesco Vito 1, 00168, Rome, Italy
| | - Katherine Esposito
- Unit of Endocrinology and Metabolic Diseases, University Hospital Luigi Vanvitelli, Piazza Miraglia 2, 80138, Naples, Italy
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Piazza Miraglia 2, 80138 Naples, Naples, Italy
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18
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Lega IC, Yale JF, Chadha A, Paty B, Roscoe R, Snider M, Steier J, Bajaj HS, Barnes T, Gilbert J, Honshorst K, Kim J, Lewis J, MacDonald B, MacKay D, Mansell K, Senior P, Rabi D, Sherifali D. Hypoglycemia in Adults. Can J Diabetes 2023; 47:548-559. [PMID: 37821214 DOI: 10.1016/j.jcjd.2023.08.003] [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: 10/13/2023]
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Crabtree TS, Griffin TP, Yap YW, Narendran P, Gallen G, Furlong N, Cranston I, Chakera A, Philbey C, Karamat MA, Saraf S, Kamaruddin S, Gurnell E, Chapman A, Hussain S, Elliott J, Leelarathna L, Ryder RE, Hammond P, Lumb A, Choudhary P, Wilmot EG. Hybrid Closed-Loop Therapy in Adults With Type 1 Diabetes and Above-Target HbA1c: A Real-world Observational Study. Diabetes Care 2023; 46:1831-1838. [PMID: 37566697 PMCID: PMC10516256 DOI: 10.2337/dc23-0635] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 07/24/2023] [Indexed: 08/13/2023]
Abstract
OBJECTIVE We explored longitudinal changes associated with switching to hybrid closed-loop (HCL) insulin delivery systems in adults with type 1 diabetes and elevated HbA1c levels despite the use of intermittently scanned continuous glucose monitoring (isCGM) and insulin pump therapy. RESEARCH DESIGN AND METHODS We undertook a pragmatic, preplanned observational study of participants included in the National Health Service England closed-loop pilot. Adults using isCGM and insulin pump across 31 diabetes centers in England with an HbA1c ≥8.5% who were willing to commence HCL therapy were included. Outcomes included change in HbA1c, sensor glucometrics, diabetes distress score, Gold score (hypoglycemia awareness), acute event rates, and user opinion of HCL. RESULTS In total, 570 HCL users were included (median age 40 [IQR 29-50] years, 67% female, and 85% White). Mean baseline HbA1c was 9.4 ± 0.9% (78.9 ± 9.1 mmol/mol) with a median follow-up of 5.1 (IQR 3.9-6.6) months. Of 520 users continuing HCL at follow-up, mean adjusted HbA1c reduced by 1.7% (95% CI 1.5, 1.8; P < 0.0001) (18.1 mmol/mol [95% CI 16.6, 19.6]; P < 0.0001). Time in range (70-180 mg/dL) increased from 34.2 to 61.9% (P < 0.001). Individuals with HbA1c of ≤58 mmol/mol rose from 0 to 39.4% (P < 0.0001), and those achieving ≥70% glucose time in range and <4% time below range increased from 0.8 to 28.2% (P < 0.0001). Almost all participants rated HCL therapy as having a positive impact on quality of life (94.7% [540 of 570]). CONCLUSIONS Use of HCL is associated with improvements in HbA1c, time in range, hypoglycemia, and diabetes-related distress and quality of life in people with type 1 diabetes in the real world.
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Affiliation(s)
- Thomas S.J. Crabtree
- Department of Diabetes and Endocrinology, Royal Derby Hospital, University Hospitals of Derby and Burton NHS Trusts, Derby, U.K
- School of Medicine, Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, U.K
| | - Tomás P. Griffin
- Leicester Diabetes Center, University Hospitals of Leicester, Leicester, U.K
- Diabetes Research Center, College of Health Sciences, University of Leicester, Leicester, U.K
| | - Yew W. Yap
- Department of Diabetes and Endocrinology, Aintree University Hospital, Liverpool University Hospital NHS Foundation Trust, Liverpool, U.K
| | - Parth Narendran
- Department of Diabetes, The Queen Elizabeth Hospital, Birmingham, Birmingham, U.K
- The Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, U.K
| | | | - Niall Furlong
- Diabetes Center, St. Helens Hospital, St. Helens and Knowsley Teaching Hospitals NHS Trust, Merseyside, U.K
| | - Iain Cranston
- Academic Department of Endocrinology and Diabetes Portsmouth Hospitals University NHS Trust, Queen Alexandra Hospital, Portsmouth, U.K
| | - Ali Chakera
- Department of Diabetes and Endocrinology, University Hospitals Sussex, Brighton, U.K
- Brighton and Sussex Medical School, Brighton, U.K
| | - Chris Philbey
- Department of Diabetes and Endocrinology, Harrogate and District NHS Trust, Harrogate, U.K
| | - Muhammad Ali Karamat
- Department of Diabetes and Endocrinology, Heartlands Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, U.K
| | - Sanjay Saraf
- Department of Diabetes and Endocrinology, Good Hope Hospital, University Hospitals Birmingham NHS Foundation Trust, Sutton Coldfield, U.K
| | - Shafie Kamaruddin
- Department of Diabetes and Endocrinology, County Durham and Darlington Foundation Trust, Darlington, U.K
| | - Eleanor Gurnell
- Wolfson Diabetes and Endocrine Clinic, Cambridge University Hospitals NHS Trust, Cambridge, U.K
| | - Alyson Chapman
- Manchester University NHS Foundation Trust, Manchester Royal Infirmary, Manchester, U.K
| | - Sufyan Hussain
- Department of Diabetes, School of Cardiovascular, Metabolic Medicine and Sciences, King’s College London, London, U.K
- Department of Diabetes and Endocrinology, Guy’s and St. Thomas’ NHS Foundation Trust, London, U.K
| | - Jackie Elliott
- Diabetes and Endocrine Center, Sheffield Teaching Hospitals, Department of Oncology and Metabolism, The University of Sheffield, Sheffield, U.K
| | - Lalantha Leelarathna
- Manchester University NHS Foundation Trust, Manchester Royal Infirmary, Manchester, U.K
| | - Robert E.J. Ryder
- Department of Diabetes and Endocrinology, City Hospital, Sandwell and West Birmingham Hospitals NHS Trust, Birmingham, U.K
| | - Peter Hammond
- Department of Diabetes and Endocrinology, Harrogate and District NHS Trust, Harrogate, U.K
| | - Alistair Lumb
- Oxford Center for Diabetes Endocrinology and Metabolism, Oxford University Hospitals NHS Trust, Oxford, U.K
- National Institute for Health and Care Research, Oxford Biomedical Research Center, Oxford, U.K
| | - Pratik Choudhary
- Leicester Diabetes Center, University Hospitals of Leicester, Leicester, U.K
- Diabetes Research Center, College of Health Sciences, University of Leicester, Leicester, U.K
| | - Emma G. Wilmot
- Department of Diabetes and Endocrinology, Royal Derby Hospital, University Hospitals of Derby and Burton NHS Trusts, Derby, U.K
- School of Medicine, Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, U.K
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20
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Sehgal S, Elbalshy M, Williman J, Galland B, Crocket H, Hall R, Paul R, Leikis R, de Bock M, Wheeler BJ. The Effect of Do-It-Yourself Real-Time Continuous Glucose Monitoring on Glycemic Variables and Participant-Reported Outcomes in Adults With Type 1 Diabetes: A Randomized Crossover Trial. J Diabetes Sci Technol 2023:19322968231196562. [PMID: 37671754 DOI: 10.1177/19322968231196562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/07/2023]
Abstract
AIM Real-time continuous glucose monitoring (rtCGM) has several advantages over intermittently scanned continuous glucose monitoring (isCGM) but generally comes at a higher cost. Do-it-yourself rtCGM (DIY-rtCGM) potentially has benefits similar to those of rtCGM. This study compared outcomes in adults with type 1 diabetes using DIY-rtCGM versus isCGM. METHODS In this crossover trial, adults with type 1 diabetes were randomized to use isCGM or DIY-rtCGM for eight weeks before crossover to use the other device for eight weeks, after a four-week washout period where participants reverted back to isCGM. The primary endpoint was time in range (TIR; 3.9-10 mmol/L). Secondary endpoints included other glycemic control measures, psychosocial outcomes, and sleep quality. RESULTS Sixty participants were recruited, and 52 (87%) completed follow-up. Glucose outcomes were similar in the DIY-rtCGM and isCGM groups, including TIR (53.1% vs 51.3%; mean difference -1.7% P = .593), glycosylated hemoglobin (57.0 ± 17.8 vs 61.4 ± 12.2 mmol/L; P = .593), and time in hypoglycemia <3.9 mmol/L (3.9 ± 3.8% vs 3.8 ± 4.0%; P = .947). Hypoglycemia Fear Survey total score (1.17 ± 0.52 vs 0.97 ± 0.54; P = .02) and fear of hypoglycemia score (1.18 ± 0.64 vs 0.97 ± 0.45; P = .02) were significantly higher during DIY-rtCGM versus isCGM. Diabetes Treatment Satisfaction Questionnaire status (DTSQS) score was also higher with DIY-rtCGM versus isCGM (28.7 ± 5.8 vs 26.0 ± 5.8; P = .04), whereas diabetes-related quality of life was slightly lower (DAWN2 Impact of Diabetes score: 3.11 ± 0.4 vs 3.32 ± 0.51; P = .045); sleep quality did not differ between the two groups. CONCLUSION Although the use of DIY-rtCGM did not improve glycemic outcomes compared with isCGM, it positively impacted several patient-reported psychosocial variables. DIY-rtCGM potentially provides an alternative, cost-effective rtCGM option.
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Affiliation(s)
- Shekhar Sehgal
- Department of Women's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Mona Elbalshy
- Department of Women's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Jonathan Williman
- Department of Paediatrics, Canterbury District Health Board, Christchurch, New Zealand
| | - Barbara Galland
- Department of Women's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Hamish Crocket
- Te Huataki Waiora School of Health, The University of Waikato, Hamilton, New Zealand
| | - Rosemary Hall
- Te Whatu Ora, Capital, Coast and Hutt Valley, Wellington, New Zealand
| | - Ryan Paul
- Te Huataki Waiora School of Health, The University of Waikato, Hamilton, New Zealand
| | | | - Martin de Bock
- Department of Paediatrics, Canterbury District Health Board, Christchurch, New Zealand
| | - Benjamin J Wheeler
- Department of Women's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
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21
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Winterdijk P, Aanstoot HJ, Nefs G. The impact of real-time sensor technology on quality of life for adults with type 1 diabetes: A Dutch national survey. Diabetes Res Clin Pract 2023; 203:110886. [PMID: 37604282 DOI: 10.1016/j.diabres.2023.110886] [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: 04/13/2023] [Revised: 07/19/2023] [Accepted: 08/18/2023] [Indexed: 08/23/2023]
Abstract
AIMS To examine the impact of real-time continuous glucose monitoring (RT-CGM) on quality of life in Dutch adults with type 1 diabetes, inside/outside automated insulin delivery (AID) systems. METHODS In this cross-sectional retrospective observational study, RT-CGM users completed an online survey including (adapted) validated questionnaires, study-specific items and open-ended questions. RESULTS Of 893 participating adults, 69% used the RT-CGM as part of AID. The overall sample reported improvements in quality of life related to RT-CGM use (irrespective of initial indication), particularly with respect to physical health, emotional wellbeing and energy. Merits for sleep, intimacy and cognitive diabetes load lagged somewhat behind, mostly when RT-CGM was not integrated in AID. Users of AID had significantly larger improvements in overall quality of life, fatigue and diabetes-specific distress than users of sensor-augmented pump or Open Loop treatment. In regression analyses, user evaluations were associated with perceptions of benefit and burden. In qualitative content analysis, benefits (e.g. life 'normalization', increased perceptions of control) outweighed burdens (e.g. technology frustrations, confrontation with diabetes). CONCLUSIONS RT-CGM positively impacted the quality of life of adults with type 1 diabetes. This justifies a (re-)consideration of broader access. Increased support to maximize device benefits and minimize burdens is also warranted.
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Affiliation(s)
- Per Winterdijk
- Diabeter, Center for Type 1 Diabetes Care and Research, Blaak 6, 3011 TA Rotterdam, the Netherlands.
| | - Henk-Jan Aanstoot
- Diabeter, Center for Type 1 Diabetes Care and Research, Blaak 6, 3011 TA Rotterdam, the Netherlands.
| | - Giesje Nefs
- Diabeter, Center for Type 1 Diabetes Care and Research, Blaak 6, 3011 TA Rotterdam, the Netherlands; Radboud University Medical Center, Department of Medical Psychology, Huispost 926, PO Box 9101, 6500 HB Nijmegen, the Netherlands; Tilburg University, Center of Research on Psychological Disorders and Somatic Diseases (CoRPS), Department of Medical and Clinical Psychology, PO Box 90153, 5000 LE Tilburg, the Netherlands.
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22
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Choi JH, Lee KA, Moon JH, Chon S, Kim DJ, Kim HJ, Kim NH, Seo JA, Kim MK, Lim JH, Song Y, Yang YS, Kim JH, Lee YB, Noh J, Hur KY, Park JS, Rhee SY, Kim HJ, Kim HM, Ko JH, Kim NH, Kim CH, Ahn J, Oh TJ, Kim SK, Kim J, Han E, Jin SM, Choi WS, Moon MK. 2023 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association. Diabetes Metab J 2023; 47:575-594. [PMID: 37793979 PMCID: PMC10555541 DOI: 10.4093/dmj.2023.0282] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Accepted: 09/14/2023] [Indexed: 10/06/2023] Open
Abstract
In May 2023, the Committee of Clinical Practice Guidelines of the Korean Diabetes Association published the revised clinical practice guidelines for Korean adults with diabetes and prediabetes. We incorporated the latest clinical research findings through a comprehensive systematic literature review and applied them in a manner suitable for the Korean population. These guidelines are designed for all healthcare providers nationwide, including physicians, diabetes experts, and certified diabetes educators who manage patients with diabetes or individuals at risk of developing diabetes. Based on recent changes in international guidelines and the results of a Korean epidemiological study, the recommended age for diabetes screening has been lowered. In collaboration with the relevant Korean medical societies, recently revised guidelines for managing hypertension and dyslipidemia in patients with diabetes have been incorporated into this guideline. An abridgment containing practical information on patient education and systematic management in the clinic was published separately.
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Affiliation(s)
- Jong Han Choi
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
| | - Kyung Ae Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jeonbuk National University Hospital, Jeonbuk National University Medical School, Jeonju, Korea
| | - Joon Ho Moon
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Suk Chon
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Korea
| | - Dae Jung Kim
- Department of Endocrinology and Metabolism, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Hyun Jin Kim
- Department of Internal Medicine, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea
| | - Nan Hee Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea
| | - Ji A Seo
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea
| | - Mee Kyoung Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jeong Hyun Lim
- Department of Food Service and Nutrition Care, Seoul National University Hospital, Seoul, Korea
| | - YoonJu Song
- Department of Food Science and Nutrition, The Catholic University of Korea, Bucheon, Korea
| | - Ye Seul Yang
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Jae Hyeon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - You-Bin Lee
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Junghyun Noh
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
| | - Kyu Yeon Hur
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jong Suk Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Sang Youl Rhee
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Korea
| | - Hae Jin Kim
- Department of Endocrinology and Metabolism, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Hyun Min Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea
| | - Jung Hae Ko
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea
| | - Nam Hoon Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Chong Hwa Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Sejong General Hospital, Bucheon, Korea
| | - Jeeyun Ahn
- Department of Ophthalmology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Tae Jung Oh
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Soo-Kyung Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea
| | - Jaehyun Kim
- Department of Pediatrics, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Eugene Han
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Sang-Man Jin
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Won Suk Choi
- Division of Infectious Diseases, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea
| | - Min Kyong Moon
- Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Committee of Clinical Practice Guidelines
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jeonbuk National University Hospital, Jeonbuk National University Medical School, Jeonju, Korea
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Korea
- Department of Endocrinology and Metabolism, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
- Department of Internal Medicine, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
- Department of Food Service and Nutrition Care, Seoul National University Hospital, Seoul, Korea
- Department of Food Science and Nutrition, The Catholic University of Korea, Bucheon, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Sejong General Hospital, Bucheon, Korea
- Department of Ophthalmology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea
- Department of Pediatrics, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
- Division of Infectious Diseases, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea
- Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Korean Diabetes Association
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jeonbuk National University Hospital, Jeonbuk National University Medical School, Jeonju, Korea
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Korea
- Department of Endocrinology and Metabolism, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
- Department of Internal Medicine, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
- Department of Food Service and Nutrition Care, Seoul National University Hospital, Seoul, Korea
- Department of Food Science and Nutrition, The Catholic University of Korea, Bucheon, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Sejong General Hospital, Bucheon, Korea
- Department of Ophthalmology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea
- Department of Pediatrics, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
- Division of Infectious Diseases, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea
- Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
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23
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Song Y, Zhai X, Bai Y, Liu C, Zhang L. Progress and indication for use of continuous glucose monitoring in patients with diabetes in pregnancy: a review. Front Endocrinol (Lausanne) 2023; 14:1218602. [PMID: 37680884 PMCID: PMC10482265 DOI: 10.3389/fendo.2023.1218602] [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: 05/07/2023] [Accepted: 08/07/2023] [Indexed: 09/09/2023] Open
Abstract
Gestational diabetes mellitus is one of the most common endocrine diseases that occur during pregnancy. Disorders of blood glucose metabolism during pregnancy can increase the risk of adverse pregnancy outcomes, such as pregnancy-related hypertension, preeclampsia, eclampsia, miscarriage, macrosomia, and neonatal hypoglycemia. Continuous glucose monitoring (CGM) can safely and effectively monitor blood glucose changes in patients with gestational hyperglycemia, thereby reducing adverse pregnancy outcomes. Hence, this article aimed to provide a comprehensive review of the progress and indications for using CGM in pregnant patients with diabetes. CGM can reduce blood glucose fluctuations and the occurrence of serious hypoglycemia and hyperglycemia events and can provide time in range (TIR). TIR is an important indicator of blood glucose level. Patients with a higher TIR during pregnancy have better gestational outcomes.
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Affiliation(s)
| | | | | | | | - Le Zhang
- Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
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24
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Romero-Tapiador S, Lacruz-Pleguezuelos B, Tolosana R, Freixer G, Daza R, Fernández-Díaz CM, Aguilar-Aguilar E, Fernández-Cabezas J, Cruz-Gil S, Molina S, Crespo MC, Laguna T, Marcos-Zambrano LJ, Vera-Rodriguez R, Fierrez J, Ramírez de Molina A, Ortega-Garcia J, Espinosa-Salinas I, Morales A, Carrillo de Santa Pau E. AI4FoodDB: a database for personalized e-Health nutrition and lifestyle through wearable devices and artificial intelligence. Database (Oxford) 2023; 2023:baad049. [PMID: 37465917 PMCID: PMC10354505 DOI: 10.1093/database/baad049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/24/2023] [Accepted: 06/21/2023] [Indexed: 07/20/2023]
Abstract
The increasing prevalence of diet-related diseases calls for an improvement in nutritional advice. Personalized nutrition aims to solve this problem by adapting dietary and lifestyle guidelines to the unique circumstances of each individual. With the latest advances in technology and data science, researchers can now automatically collect and analyze large amounts of data from a variety of sources, including wearable and smart devices. By combining these diverse data, more comprehensive insights of the human body and its diseases can be achieved. However, there are still major challenges to overcome, including the need for more robust data and standardization of methodologies for better subject monitoring and assessment. Here, we present the AI4Food database (AI4FoodDB), which gathers data from a nutritional weight loss intervention monitoring 100 overweight and obese participants during 1 month. Data acquisition involved manual traditional approaches, novel digital methods and the collection of biological samples, obtaining: (i) biological samples at the beginning and the end of the intervention, (ii) anthropometric measurements every 2 weeks, (iii) lifestyle and nutritional questionnaires at two different time points and (iv) continuous digital measurements for 2 weeks. To the best of our knowledge, AI4FoodDB is the first public database that centralizes food images, wearable sensors, validated questionnaires and biological samples from the same intervention. AI4FoodDB thus has immense potential for fostering the advancement of automatic and novel artificial intelligence techniques in the field of personalized care. Moreover, the collected information will yield valuable insights into the relationships between different variables and health outcomes, allowing researchers to generate and test new hypotheses, identify novel biomarkers and digital endpoints, and explore how different lifestyle, biological and digital factors impact health. The aim of this article is to describe the datasets included in AI4FoodDB and to outline the potential that they hold for precision health research. Database URL https://github.com/AI4Food/AI4FoodDB.
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Affiliation(s)
- Sergio Romero-Tapiador
- Biometrics and Data Pattern Analytics Laboratory, Universidad Autonoma de Madrid, Calle Francisco Tomas y Valiente, 11, Campus de Cantoblanco, Madrid 28049, Spain
| | - Blanca Lacruz-Pleguezuelos
- Computational Biology Group, Precision Nutrition and Cancer Research Program, IMDEA Food Institute, CEI UAM+CSIC, Carretera de Cantoblanco, 8, Madrid 28049, Spain
| | - Ruben Tolosana
- Biometrics and Data Pattern Analytics Laboratory, Universidad Autonoma de Madrid, Calle Francisco Tomas y Valiente, 11, Campus de Cantoblanco, Madrid 28049, Spain
| | - Gala Freixer
- GENYAL Platform on Nutrition and Health, IMDEA Food Institute, CEI UAM+CSIC, Carretera de Cantoblanco, 8, Madrid 28049, Spain
| | - Roberto Daza
- Biometrics and Data Pattern Analytics Laboratory, Universidad Autonoma de Madrid, Calle Francisco Tomas y Valiente, 11, Campus de Cantoblanco, Madrid 28049, Spain
| | - Cristina M Fernández-Díaz
- GENYAL Platform on Nutrition and Health, IMDEA Food Institute, CEI UAM+CSIC, Carretera de Cantoblanco, 8, Madrid 28049, Spain
| | - Elena Aguilar-Aguilar
- GENYAL Platform on Nutrition and Health, IMDEA Food Institute, CEI UAM+CSIC, Carretera de Cantoblanco, 8, Madrid 28049, Spain
- Department of Nursing and Nutrition, Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid, Calle Tajo s/n, Villaviciosa de Odon, Madrid 28670, Spain
| | - Jorge Fernández-Cabezas
- GENYAL Platform on Nutrition and Health, IMDEA Food Institute, CEI UAM+CSIC, Carretera de Cantoblanco, 8, Madrid 28049, Spain
| | - Silvia Cruz-Gil
- Molecular Oncology and Nutritional Genomics of Cancer Group, IMDEA Food Institute, CEI UAM+CSIC, Carretera de Cantoblanco, 8, Madrid 28049, Spain
| | - Susana Molina
- GENYAL Platform on Nutrition and Health, IMDEA Food Institute, CEI UAM+CSIC, Carretera de Cantoblanco, 8, Madrid 28049, Spain
| | - Maria Carmen Crespo
- GENYAL Platform on Nutrition and Health, IMDEA Food Institute, CEI UAM+CSIC, Carretera de Cantoblanco, 8, Madrid 28049, Spain
| | - Teresa Laguna
- Computational Biology Group, Precision Nutrition and Cancer Research Program, IMDEA Food Institute, CEI UAM+CSIC, Carretera de Cantoblanco, 8, Madrid 28049, Spain
| | - Laura Judith Marcos-Zambrano
- Computational Biology Group, Precision Nutrition and Cancer Research Program, IMDEA Food Institute, CEI UAM+CSIC, Carretera de Cantoblanco, 8, Madrid 28049, Spain
| | - Ruben Vera-Rodriguez
- Biometrics and Data Pattern Analytics Laboratory, Universidad Autonoma de Madrid, Calle Francisco Tomas y Valiente, 11, Campus de Cantoblanco, Madrid 28049, Spain
| | - Julian Fierrez
- Biometrics and Data Pattern Analytics Laboratory, Universidad Autonoma de Madrid, Calle Francisco Tomas y Valiente, 11, Campus de Cantoblanco, Madrid 28049, Spain
| | - Ana Ramírez de Molina
- GENYAL Platform on Nutrition and Health, IMDEA Food Institute, CEI UAM+CSIC, Carretera de Cantoblanco, 8, Madrid 28049, Spain
| | - Javier Ortega-Garcia
- Biometrics and Data Pattern Analytics Laboratory, Universidad Autonoma de Madrid, Calle Francisco Tomas y Valiente, 11, Campus de Cantoblanco, Madrid 28049, Spain
| | - Isabel Espinosa-Salinas
- GENYAL Platform on Nutrition and Health, IMDEA Food Institute, CEI UAM+CSIC, Carretera de Cantoblanco, 8, Madrid 28049, Spain
| | - Aythami Morales
- Biometrics and Data Pattern Analytics Laboratory, Universidad Autonoma de Madrid, Calle Francisco Tomas y Valiente, 11, Campus de Cantoblanco, Madrid 28049, Spain
| | - Enrique Carrillo de Santa Pau
- Computational Biology Group, Precision Nutrition and Cancer Research Program, IMDEA Food Institute, CEI UAM+CSIC, Carretera de Cantoblanco, 8, Madrid 28049, Spain
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25
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Afentakis I, Unsworth R, Herrero P, Oliver N, Reddy M, Georgiou P. Development and Validation of Binary Classifiers to Predict Nocturnal Hypoglycemia in Adults With Type 1 Diabetes. J Diabetes Sci Technol 2023:19322968231185796. [PMID: 37434362 DOI: 10.1177/19322968231185796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/13/2023]
Abstract
BACKGROUND One of the biggest challenges for people with type 1 diabetes (T1D) using multiple daily injections (MDIs) is nocturnal hypoglycemia (NH). Recurrent NH can lead to serious complications; hence, prevention is of high importance. In this work, we develop and externally validate, device-agnostic Machine Learning (ML) models to provide bedtime decision support to people with T1D and minimize the risk of NH. METHODS We present the design and development of binary classifiers to predict NH (blood glucose levels occurring below 70 mg/dL). Using data collected from a 6-month study of 37 adult participants with T1D under free-living conditions, we extract daytime features from continuous glucose monitor (CGM) sensors, administered insulin, meal, and physical activity information. We use these features to train and test the performance of two ML algorithms: Random Forests (RF) and Support Vector Machines (SVMs). We further evaluate our model in an external population of 20 adults with T1D using MDI insulin therapy and wearing CGM and flash glucose monitoring sensors for two periods of eight weeks each. RESULTS At population-level, SVM outperforms RF algorithm with a receiver operating characteristic-area under curve (ROC-AUC) of 79.36% (95% CI: 76.86%, 81.86%). The proposed SVM model generalizes well in an unseen population (ROC-AUC = 77.06%), as well as between the two different glucose sensors (ROC-AUC = 77.74%). CONCLUSIONS Our model shows state-of-the-art performance, generalizability, and robustness in sensor devices from different manufacturers. We believe it is a potential viable approach to inform people with T1D about their risk of NH before it occurs.
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Affiliation(s)
- Ioannis Afentakis
- UK Research and Innovation Centre for Doctoral Training in Artificial Intelligence for Healthcare, Imperial College London, London, UK
- Department of Computing, Imperial College London, London, UK
| | | | - Pau Herrero
- Department of Electronic and Electrical Engineering, Imperial College London, London, UK
| | - Nick Oliver
- Department of Medicine, Imperial College London, London, UK
| | - Monika Reddy
- Department of Medicine, Imperial College London, London, UK
| | - Pantelis Georgiou
- Department of Electronic and Electrical Engineering, Imperial College London, London, UK
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26
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Wilkie G, Melnik V, Brainard L, Antonioli S, Baltich Nelson B, Leung K, Leftwich H. Continuous glucose monitor use in type 2 diabetes mellitus in pregnancy and perinatal outcomes: a systematic review and meta-analysis. Am J Obstet Gynecol MFM 2023; 5:100969. [PMID: 37061044 DOI: 10.1016/j.ajogmf.2023.100969] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 04/03/2023] [Accepted: 04/09/2023] [Indexed: 04/17/2023]
Abstract
OBJECTIVE This study aimed to assess whether continuous glucose monitor use in type 2 diabetes mellitus in pregnancy is associated with improved perinatal outcomes. DATA SOURCES We searched Ovid MEDLINE, Scopus, ClinicalTrials.gov, and Cochrane library from inception through May 9, 2022. STUDY ELIGIBILITY CRITERIA We included all studies that compared continuous glucose monitor use with fingerstick glucose monitoring in women with type 2 diabetes mellitus. METHODS The initial search yielded 2463 unique citations that were screened in Covidence by 2 independent reviewers. Study types included randomized controlled trials, cohort studies, and cross-sectional studies. Our outcomes of interest were macrosomia or large-for-gestational-age infants, hemoglobin A1c, cesarean delivery, hypertensive disorders of pregnancy including preeclampsia, gestational age at delivery, and neonatal hypoglycemia. RESULTS Three randomized controlled trials met the inclusion criteria. We performed random-effects meta-analyses of estimates from 2 studies without risk of significant bias and reported summary adjusted odds ratios and 95% confidence intervals. Meta-analysis of 56 women with continuous glucose monitor use and 53 control women without continuous glucose monitor use showed that there was no difference in the incidence of large-for-gestational-age infants between continuous glucose monitor users and standard-of-care controls (odds ratio, 0.78; 95% confidence interval, 0.34-1.78) with an I2 of 0%. In addition, there was no difference in the development of preeclampsia between continuous glucose monitor users and standard-of-care controls (odds ratio, 1.63; 95% confidence interval, 0.34-7.22) with an I2 of 0%. CONCLUSION Continuous glucose monitor use was not associated with improved perinatal outcomes as assessed by large-for-gestational-age infants and preeclampsia. This review is limited by the small amount of data available for this population, and further research is needed.
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Affiliation(s)
- Gianna Wilkie
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Massachusetts Chan Medical School, Worcester, MA (Dr Wilkie, Ms Leung, and Dr Leftwich).
| | - Veronika Melnik
- University of Massachusetts Chan Medical School, Worcester, MA (Ms. Melnik, Ms. Brainard, Ms. Antonioli, and Ms. Nelson)
| | - Lydia Brainard
- University of Massachusetts Chan Medical School, Worcester, MA (Ms. Melnik, Ms. Brainard, Ms. Antonioli, and Ms. Nelson)
| | - Sophia Antonioli
- University of Massachusetts Chan Medical School, Worcester, MA (Ms. Melnik, Ms. Brainard, Ms. Antonioli, and Ms. Nelson)
| | - Becky Baltich Nelson
- University of Massachusetts Chan Medical School, Worcester, MA (Ms. Melnik, Ms. Brainard, Ms. Antonioli, and Ms. Nelson)
| | - Katherine Leung
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Massachusetts Chan Medical School, Worcester, MA (Dr Wilkie, Ms Leung, and Dr Leftwich)
| | - Heidi Leftwich
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Massachusetts Chan Medical School, Worcester, MA (Dr Wilkie, Ms Leung, and Dr Leftwich)
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27
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Friedman JG, Coyne K, Aleppo G, Szmuilowicz ED. Beyond A1C: exploring continuous glucose monitoring metrics in managing diabetes. Endocr Connect 2023; 12:e230085. [PMID: 37071558 PMCID: PMC10305570 DOI: 10.1530/ec-23-0085] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 04/18/2023] [Indexed: 04/19/2023]
Abstract
Hemoglobin A1c (HbA1c) has long been considered a cornerstone of diabetes mellitus (DM) management, as both an indicator of average glycemia and a predictor of long-term complications among people with DM. However, HbA1c is subject to non-glycemic influences which confound interpretation and as a measure of average glycemia does not provide information regarding glucose trends or about the occurrence of hypoglycemia and/or hyperglycemia episodes. As such, solitary use of HbA1c, without accompanying glucose data, does not confer actionable information that can be harnessed to guide targeted therapy in many patients with DM. While conventional capillary blood glucose monitoring (BGM) sheds light on momentary glucose levels, in practical use the inherent infrequency of measurement precludes elucidation of glycemic trends or reliable detection of hypoglycemia or hyperglycemia episodes. In contrast, continuous glucose monitoring (CGM) data reveal glucose trends and potentially undetected hypo- and hyperglycemia patterns that can occur between discrete BGM measurements. The use of CGM has grown significantly over the past decades as an ever-expanding body of literature demonstrates a multitude of clinical benefits for people with DM. Continually improving CGM accuracy and ease of use have further fueled the widespread adoption of CGM. Furthermore, percent time in range correlates well with HbA1c, is accepted as a validated indicator of glycemia, and is associated with the risk of several DM complications. We explore the benefits and limitations of CGM use, the use of CGM in clinical practice, and the application of CGM to advanced diabetes technologies.
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Affiliation(s)
- Jared G Friedman
- Division of Endocrinology, Metabolism and Molecular Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States
| | - Kasey Coyne
- Division of Endocrinology, Metabolism and Molecular Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States
| | - Grazia Aleppo
- Division of Endocrinology, Metabolism and Molecular Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States
| | - Emily D Szmuilowicz
- Division of Endocrinology, Metabolism and Molecular Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States
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Noor N, Norman G, Sonabend R, Chao L, Kamboj M, Golden L, Bekx MT, Hseih S, Levy C, Sanchez J, Rapaport R, Ebekozien O. An Observational Crossover Study of People Using Real-Time Continuous Glucose Monitors Versus Self-Monitoring of Blood Glucose: Real-World Evidence Using EMR Data From More Than 12,000 People With Type 1 Diabetes. J Diabetes Sci Technol 2023:19322968231178017. [PMID: 37264642 DOI: 10.1177/19322968231178017] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
BACKGROUND We used real-world electronic health record (EHR) data to examine HbA1c levels among children and adults with type 1 diabetes (T1D) who are classified as continuous glucose monitor (CGM) users after T1D diagnosis and switch to self-monitoring of blood glucose (SMBG) during follow-up, versus people who opt for SMBG after T1D diagnosis and switch to CGM during follow-up visits. METHODS We conducted an observational, case-crossover study using electronic medical record (EMR) data from the T1D Exchange Quality Improvement Collaborative. The primary outcome in this study was HbA1c. Baseline HbA1c levels were taken at the index date, corresponding to initial device classification, and compared with HbA1c value recorded at the clinic visit following device switch. RESULTS Of all patients classified in the SMBG group, 7,706 switched to CGM use within the 5-year study time frame, and 5,123 of all initial CGM users switched to SMBG within the study time frame and were included in this analysis. At baseline, median (interquartile range [IQR]) HbA1c for SMBG use was 8.1 (2.4), whereas postcrossover to CGM use, there was a decline in median (IQR) levels to 7.7 (1.9) (P < .001). For baseline CGM users, median (IQR) HbA1c levels were 7.9 (2.0), and postcrossover to SMBG, median (IQR) HbA1c levels increased to 8.0 (2.9) (P < .001). CONCLUSION We found that people who switched to CGM use had significantly improved HbA1c levels compared to those who switched to glucose monitoring with SMBG.
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Affiliation(s)
| | | | - Rona Sonabend
- Texas Children's Hospital, Baylor College of Medicine, Houston, TX, USA
| | - Lily Chao
- Children's Hospital of Los Angeles, Los Angeles, CA, USA
| | | | | | - M Tracy Bekx
- UW Health, University of Wisconsin, Madison, WI, USA
| | - Susan Hseih
- Cook Children's Hospital, Fort Worth, TX, USA
| | - Carol Levy
- Icahn School of Medicine, New York City, NY, USA
| | - Janine Sanchez
- Miller School of Medicine, University of Miami, Miami, FL, USA
| | | | - Osagie Ebekozien
- T1D Exchange, Boston, MA, USA
- School of Population Health, University of Mississippi, University, MS, USA
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Šumnik Z, Pavlíková M, Neuman V, Petruželková L, Konečná P, Venháčová P, Škvor J, Pomahačová R, Neumann D, Vosáhlo J, Strnadel J, Kocourková K, Obermannová B, Šantová A, Plachý L, Průhová S, Cinek O. Glycemic Control by Treatment Modalities: National Registry-Based Population Data in Children and Adolescents with Type 1 Diabetes. Horm Res Paediatr 2023; 97:70-79. [PMID: 37100041 DOI: 10.1159/000530833] [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: 01/22/2023] [Accepted: 04/17/2023] [Indexed: 04/28/2023] Open
Abstract
INTRODUCTION The aim of the study was to assess the differences in key parameters of type 1 diabetes (T1D) control associated with treatment and monitoring modalities including newly introduced hybrid closed-loop (HCL) algorithm in children and adolescents with T1D (CwD) using the data from the population-wide pediatric diabetes registry ČENDA. METHODS CwD younger than 19 years with T1D duration >1 year were included and divided according to the treatment modality and type of CGM used: multiple daily injection (MDI), insulin pump without (CSII) and with HCL function, intermittently scanned continuous glucose monitoring (isCGM), real-time CGM (rtCGM), and intermittent or no CGM (noCGM). HbA1c, times in glycemic ranges, and glucose risk index (GRI) were compared between the groups. RESULTS Data of a total of 3,251 children (mean age 13.4 ± 3.8 years) were analyzed. 2,187 (67.3%) were treated with MDI, 1,064 (32.7%) with insulin pump, 585/1,064 (55%) with HCL. The HCL users achieved the highest median TIR 75.4% (IQR 6.3) and lowest GRI 29.1 (7.8), both p < 0.001 compared to other groups, followed by MDI rtCGM and CSII groups with TIR 68.8% (IQR 9.0) and 69.0% (7.5), GRI 38.8 (12.5) and 40.1 (8.5), respectively (nonsignificant to each other). These three groups did not significantly differ in their HbA1c medians (51.8 [IQR 4.5], 50.7 [4.5], and 52.7 [5.7] mmol/mol, respectively). NoCGM groups had the highest HbA1c and GRI and lowest TIR regardless of the treatment modality. CONCLUSION This population-based study shows that the HCL technology is superior to other treatment modalities in CGM-derived parameters and should be considered as a treatment of choice in all CwD fulfilling the indication criteria.
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Affiliation(s)
- Zdenek Šumnik
- Department of Pediatrics, Motol University Hospital and 2nd Faculty of Medicine, Prague, Czechia
| | - Marketa Pavlíková
- Department of Probability and Mathematical Statistics, Faculty of Mathematics and Physics, Charles University, Prague, Czechia
| | - Vit Neuman
- Department of Pediatrics, Motol University Hospital and 2nd Faculty of Medicine, Prague, Czechia
| | - Lenka Petruželková
- Department of Pediatrics, Motol University Hospital and 2nd Faculty of Medicine, Prague, Czechia
| | - Petra Konečná
- Department of Pediatrics, University Hospital Brno, Brno, Czechia
| | - Petra Venháčová
- Department of Pediatrics, University Hospital Olomouc, Olomouc, Czechia
| | - Jaroslav Škvor
- Department of Pediatrics, Masaryk Hospital, Ústí nad Labem, Czechia
| | - Renata Pomahačová
- Department of Pediatrics, University Hospital Pilsen, Pilsen, Czechia
| | - David Neumann
- Department of Pediatrics, University Hospital Hradec Králové, Hradec Králové, Czechia
| | - Jan Vosáhlo
- Department of Pediatrics, 3rd Faculty of Medicine, Prague, Czechia
| | - Jiri Strnadel
- Department of Pediatrics, University Hospital Ostrava, Ostrava, Czechia
| | - Kamila Kocourková
- Department of Pediatrics, Hospital České Budějovice, České Budějovice, Czechia
| | - Barbora Obermannová
- Department of Pediatrics, Motol University Hospital and 2nd Faculty of Medicine, Prague, Czechia
| | - Alzbeta Šantová
- Department of Pediatrics, Motol University Hospital and 2nd Faculty of Medicine, Prague, Czechia
- 1st Faculty of Medicine, Prague, Czechia
| | - Lukas Plachý
- Department of Pediatrics, Motol University Hospital and 2nd Faculty of Medicine, Prague, Czechia
| | - Stepanka Průhová
- Department of Pediatrics, Motol University Hospital and 2nd Faculty of Medicine, Prague, Czechia
| | - Ondrej Cinek
- Department of Pediatrics, Motol University Hospital and 2nd Faculty of Medicine, Prague, Czechia
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Reaven PD, Newell M, Rivas S, Zhou X, Norman GJ, Zhou JJ. Initiation of Continuous Glucose Monitoring Is Linked to Improved Glycemic Control and Fewer Clinical Events in Type 1 and Type 2 Diabetes in the Veterans Health Administration. Diabetes Care 2023; 46:854-863. [PMID: 36807492 PMCID: PMC10260873 DOI: 10.2337/dc22-2189] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 01/23/2023] [Indexed: 02/19/2023]
Abstract
OBJECTIVE To determine the benefit of starting continuous glucose monitoring (CGM) in adult-onset type 1 diabetes (T1D) and type 2 diabetes (T2D) with regard to longer-term glucose control and serious clinical events. RESEARCH DESIGN AND METHODS A retrospective observational cohort study within the Veterans Affairs Health Care System was used to compare glucose control and hypoglycemia- or hyperglycemia-related admission to an emergency room or hospital and all-cause hospitalization between propensity score overlap weighted initiators of CGM and nonusers over 12 months. RESULTS CGM users receiving insulin (n = 5,015 with T1D and n = 15,706 with T2D) and similar numbers of nonusers were identified from 1 January 2015 to 31 December 2020. Declines in HbA1c were significantly greater in CGM users with T1D (-0.26%; 95% CI -0.33, -0.19%) and T2D (-0.35%; 95% CI -0.40, -0.31%) than in nonusers at 12 months. Percentages of patients achieving HbA1c <8 and <9% after 12 months were greater in CGM users. In T1D, CGM initiation was associated with significantly reduced risk of hypoglycemia (hazard ratio [HR] 0.69; 95% CI 0.48, 0.98) and all-cause hospitalization (HR 0.75; 95% CI 0.63, 0.90). In patients with T2D, there was a reduction in risk of hyperglycemia in CGM users (HR 0.87; 95% CI 0.77, 0.99) and all-cause hospitalization (HR 0.89; 95% CI 0.83, 0.97). Several subgroups (based on baseline age, HbA1c, hypoglycemic risk, or follow-up CGM use) had even greater responses. CONCLUSIONS In a large national cohort, initiation of CGM was associated with sustained improvement in HbA1c in patients with later-onset T1D and patients with T2D using insulin. This was accompanied by a clear pattern of reduced risk of admission to an emergency room or hospital for hypoglycemia or hyperglycemia and of all-cause hospitalization.
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Affiliation(s)
| | | | - Salvador Rivas
- Phoenix Veterans Affairs Health Care System, Phoenix, AZ
| | - Xinkai Zhou
- Medicine and Biostatistics, University of California Los Angeles, Los Angeles, CA
| | | | - Jin J. Zhou
- Phoenix Veterans Affairs Health Care System, Phoenix, AZ
- Medicine and Biostatistics, University of California Los Angeles, Los Angeles, CA
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Parent C, Lespagnol E, Berthoin S, Tagougui S, Heyman J, Stuckens C, Gueorguieva I, Balestra C, Tonoli C, Kozon B, Fontaine P, Weill J, Rabasa-Lhoret R, Heyman E. Barriers to Physical Activity in Children and Adults Living With Type 1 Diabetes: A Complex Link With Real-life Glycemic Excursions. Can J Diabetes 2023; 47:124-132. [PMID: 36411182 DOI: 10.1016/j.jcjd.2022.10.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 10/14/2022] [Accepted: 10/17/2022] [Indexed: 11/05/2022]
Abstract
OBJECTIVES Ever since the first research on barriers to physical activity (PA) highlighting fear of hypoglycemia as a major barrier, many studies have attempted to understand their demographic and behavioural determinants. However, no research has been conducted on whether these perceived barriers toward PA are based on real-life-experienced adverse glycemic effects of exercise. METHODS Sixty-two adults and 53 children/adolescents living with type 1 diabetes, along with their parents, completed the Barriers to Physical Activity in Type 1 Diabetes-1 (BAPAD-1) questionnaire on barriers to PA. Continuous glucose-monitoring data were collected during 1 week of everyday life for 26 adults and 33 children/adolescents. Multiple linear regressions were used to explore links between BAPAD-1 scores and glycemic excursions experienced during and after everyday-life self-reported PA sessions, controlling for behavioural (accelerometry) and demographic confounders. RESULTS In children/adolescents, the more time spent in hypoglycemia on nights after PA sessions, the more they reported hypoglycemic risk as a barrier (ß=+0.365, p=0.034). Conversely, in adults, the higher the proportion of PA sessions accompanied by a drop in blood glucose, the less hypoglycemia was a barrier (ß=-0.046, p=0.004). In parents, BAPAD-1 scores were unrelated to children/adolescents' everyday-life exercise-induced hypo/hyperglycemia. CONCLUSIONS In children/adolescents, fear of hypoglycemia was predominant in those exposed to nocturnal hypoglycemia associated with PA sessions. In adults, fewer barriers may mean they accept a bigger drop in their glycemia during PA. This shows the importance of finding and promoting age-specific solutions to prevent exercise-induced hypoglycemia.
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Affiliation(s)
- Cassandra Parent
- Univ. Lille, Univ. Artois, Univ. Littoral Côte d'Opale, ULR 7369 - URePSSS - Unité de Recherche Pluridisciplinaire Sport Santé Société, F-59000 Lille, France
| | - Elodie Lespagnol
- Univ. Lille, Univ. Artois, Univ. Littoral Côte d'Opale, ULR 7369 - URePSSS - Unité de Recherche Pluridisciplinaire Sport Santé Société, F-59000 Lille, France
| | - Serge Berthoin
- Univ. Lille, Univ. Artois, Univ. Littoral Côte d'Opale, ULR 7369 - URePSSS - Unité de Recherche Pluridisciplinaire Sport Santé Société, F-59000 Lille, France
| | - Sémah Tagougui
- Univ. Lille, Univ. Artois, Univ. Littoral Côte d'Opale, ULR 7369 - URePSSS - Unité de Recherche Pluridisciplinaire Sport Santé Société, F-59000 Lille, France
| | - Joris Heyman
- CNRS, UMR 6118, Transferts d'eau et de matière dans les milieux hétérogènes complexes-Géosciences, Université Rennes, Rennes, France
| | - Chantal Stuckens
- Department of Pediatrics, Lille University Hospital, Lille, France
| | - Iva Gueorguieva
- Department of Pediatrics, Lille University Hospital, Lille, France
| | - Costantino Balestra
- Laboratory of Environmental and Occupational (Integrative) Physiology, Haute Ecole Bruxelles-Brabant, Auderghem, Brussels, Belgium
| | - Cajsa Tonoli
- Human Physiology Research Group, Faculty of Physical Education and Physical Therapy, Vrije Universiteit Brussel, Brussels, Belgium
| | - Bérengère Kozon
- Department of Diabetology, Lille University Hospital, Lille, France
| | - Pierre Fontaine
- Department of Diabetology, Lille University Hospital, Lille, France
| | - Jacques Weill
- Department of Pediatrics, Lille University Hospital, Lille, France
| | - Rémi Rabasa-Lhoret
- Institut de Recherches Cliniques de Montréal, Montréal, Québec, Canada; Department of Nutrition, Université de Montréal, Montréal, Québec, Canada
| | - Elsa Heyman
- Univ. Lille, Univ. Artois, Univ. Littoral Côte d'Opale, ULR 7369 - URePSSS - Unité de Recherche Pluridisciplinaire Sport Santé Société, F-59000 Lille, France; Institut Universitaire de France, Paris, France.
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Maahs DM, Prahalad P, Schweiger DŠ, Shalitin S. Diabetes Technology and Therapy in the Pediatric Age Group. Diabetes Technol Ther 2023; 25:S118-S145. [PMID: 36802194 DOI: 10.1089/dia.2023.2508] [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: 02/23/2023]
Affiliation(s)
- David M Maahs
- Department of Pediatrics, Division of Endocrinology and Diabetes, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA
- Department of Health Research and Policy (Epidemiology), Stanford University, Stanford, CA, USA
| | - Priya Prahalad
- Department of Pediatrics, Division of Endocrinology and Diabetes, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA
| | - Darja Šmigoc Schweiger
- University Medical Center-University Children's Hospital Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Shlomit Shalitin
- Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
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Dovc K, Lanzinger S, Cardona-Hernandez R, Tauschmann M, Marigliano M, Cherubini V, Preikša R, Schierloh U, Clapin H, AlJaser F, Pelicand J, Shukla R, Biester T. Association of Achieving Time in Range Clinical Targets With Treatment Modality Among Youths With Type 1 Diabetes. JAMA Netw Open 2023; 6:e230077. [PMID: 36808243 PMCID: PMC9941889 DOI: 10.1001/jamanetworkopen.2023.0077] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/22/2023] Open
Abstract
IMPORTANCE Continuous glucose monitoring (CGM) devices have demonstrated efficacy in adults and more recently in youths and older adults with type 1 diabetes. In adults with type 1 diabetes, the use of real-time CGM compared with intermittently scanned CGM was associated with improved glycemic control, but there are limited data available for youths. OBJECTIVE To assess real-world data on achievement of time in range clinical targets associated with different treatment modalities in youths with type 1 diabetes. DESIGN, SETTING, AND PARTICIPANTS This multinational cohort study included children, adolescents, and young adults younger than 21 years (hereinafter referred to collectively as youths) with type 1 diabetes for a duration of at least 6 months who provided CGM data between January 1, 2016, and December 31, 2021. Participants were enrolled from the international Better Control in Pediatric and Adolescent Diabetes: Working to Create Centers of Reference (SWEET) registry. Data from 21 countries were included. Participants were divided into 4 treatment modalities: intermittently scanned CGM with or without insulin pump use and real-time CGM with or without insulin pump use. EXPOSURES Type 1 diabetes and the use of CGM with or without an insulin pump. MAIN OUTCOMES AND MEASURES Proportion of individuals in each treatment modality group achieving recommended CGM clinical targets. RESULTS Among the 5219 participants (2714 [52.0%] male; median age, 14.4 [IQR, 11.2-17.1] years), median duration of diabetes was 5.2 (IQR, 2.7-8.7) years and median hemoglobin A1c level was 7.4% (IQR, 6.8%-8.0%). Treatment modality was associated with the proportion of individuals achieving recommended clinical targets. Adjusted for sex, age, diabetes duration, and body mass index standard deviation score, the proportion achieving the recommended greater than 70% time in range target was highest with real-time CGM plus insulin pump use (36.2% [95% CI, 33.9%-38.4%]), followed by real-time CGM plus injection use (20.9% [95% CI, 18.0%-24.1%]), intermittently scanned CGM plus injection use (12.5% [95% CI, 10.7%-14.4%]), and intermittently scanned CGM plus insulin pump use (11.3% [95% CI, 9.2%-13.8%]) (P < .001). Similar trends were observed for less than 25% time above (real-time CGM plus insulin pump, 32.5% [95% CI, 30.4%-34.7%]; intermittently scanned CGM plus insulin pump, 12.8% [95% CI, 10.6%-15.4%]; P < .001) and less than 4% time below range target (real-time CGM plus insulin pump, 73.1% [95% CI, 71.1%-75.0%]; intermittently scanned CGM plus insulin pump, 47.6% [95% CI, 44.1%-51.1%]; P < .001). Adjusted time in range was highest among real-time CGM plus insulin pump users (64.7% [95% CI, 62.6%-66.7%]). Treatment modality was associated with the proportion of participants experiencing severe hypoglycemia and diabetic ketoacidosis events. CONCLUSIONS AND RELEVANCE In this multinational cohort study of youths with type 1 diabetes, concurrent use of real-time CGM and an insulin pump was associated with increased probability of achieving recommended clinical targets and time in range target as well as lower probability of severe adverse events compared with other treatment modalities.
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Affiliation(s)
- Klemen Dovc
- Department of Pediatric Endocrinology, Diabetes and Metabolic Diseases, University Children’s Hospital, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Stefanie Lanzinger
- Institute of Epidemiology and Medical Biometry, ZIBMT, Ulm University, Ulm, Germany
- German Center for Diabetes Research (DZD), Munich–Neuherberg, Germany
| | | | - Martin Tauschmann
- Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Vienna, Austria
| | - Marco Marigliano
- Pediatric Diabetes and Metabolic Disorders Unit, Regional Center for Pediatric Diabetes, University City Hospital of Verona, Verona, Italy
- Department of Surgery, Dentistry, Paediatrics and Gynaecology, University of Verona, Verona, Italy
| | - Valentino Cherubini
- Division of Pediatric Diabetology, Department of Women’s and Children’s Health, Salesi Hospital, Ancona, Italy
| | - Romualdas Preikša
- Institute and Clinic of Endocrinology, Lithuanian University of Health Sciences, Kaunas
| | - Ulrike Schierloh
- Department of Pediatric Diabetes and Endocrinology, Centre Hospitalier Luxembourg, Luxembourg, Luxembourg
| | - Helen Clapin
- Department of Diabetes and Endocrinology, Perth Children’s Hospital, Perth, Australia
| | - Fahed AlJaser
- Department of Pediatrics, Amiri Hospital, Ministry of Health, Dasman, Kuwait
| | - Julie Pelicand
- Pediatric and Adolescent Diabetes Program, Department of Pediatrics, San Camilo Hospital, San Felipe, Chile
- Medicine School, Universidad de Valparaiso, San Felipe, Chile
| | - Rishi Shukla
- Department of Diabetes and Endocrinology, Center for Diabetes & Endocrine Diseases, Kanpur, India
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Inequity in access to continuous glucose monitoring and health outcomes in paediatric diabetes, a case for national continuous glucose monitoring funding: A cross-sectional population study of children with type 1 diabetes in New Zealand. THE LANCET REGIONAL HEALTH - WESTERN PACIFIC 2023; 31:100644. [DOI: 10.1016/j.lanwpc.2022.100644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 10/17/2022] [Accepted: 10/30/2022] [Indexed: 11/18/2022]
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Isitt JJ, Roze S. Long-term cost-effectiveness of Dexcom G6 real-time continuous glucose monitoring system in people with type 1 diabetes in Australia: Response to letter from Hellmund, Richard and Welsh, Zoe. Diabet Med 2023; 40:e14989. [PMID: 36271634 DOI: 10.1111/dme.14989] [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] [Received: 09/28/2022] [Accepted: 10/16/2022] [Indexed: 01/17/2023]
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Visser MM, Charleer S, Fieuws S, De Block C, Hilbrands R, Van Huffel L, Maes T, Vanhaverbeke G, Dirinck E, Myngheer N, Vercammen C, Nobels F, Keymeulen B, Mathieu C, Gillard P. Effect of switching from intermittently scanned to real-time continuous glucose monitoring in adults with type 1 diabetes: 24-month results from the randomised ALERTT1 trial. Lancet Diabetes Endocrinol 2023; 11:96-108. [PMID: 36702566 DOI: 10.1016/s2213-8587(22)00352-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 11/10/2022] [Accepted: 11/19/2022] [Indexed: 01/26/2023]
Abstract
BACKGROUND Comparing Continuous With Flash Glucose Monitoring In Adults With Type 1 Diabetes (ALERTT1) examined whether switching from first-generation intermittently scanned continuous glucose monitoring (isCGM) without alerts to real-time continuous glucose monitoring (rtCGM) with alert functionality offers additional benefits to adults with type 1 diabetes. The extension of the randomised ALERTT1 trial assessed the effect of switching from isCGM to rtCGM up to 24 months. METHODS In this 6-month, double-arm, parallel-group, non-masked, randomised, controlled trial, done across six hospitals in Belgium, 254 adults aged 18 years or older with type 1 diabetes previously using isCGM were randomly assigned (1:1) to rtCGM with alerts (intervention; n=127) or isCGM without alerts (control; n=127). Upon completion of the 6-month trial, the control group switched to rtCGM (is-rtCGM group), and the intervention group continued rtCGM (rt-rtCGM group). The extension focused on within-group changes in time in range (TIR; 3·9-10·0 mmol/L; primary outcome), HbA1c, time in clinically significant hypoglycaemia (<3·0 mmol/L), and Hypoglycaemia Fear Survey worry (HFS-worry) score (all prespecified key secondary outcomes). Mean within-group change versus the start of rtCGM is reported, with a positive value referring to a lower value at start of rtCGM. This trial is registered at ClinicalTrials.gov (NCT03772600). FINDINGS 119 participants were assigned to the is-rtCGM group of whom 112 (94%) completed the 24-month trial, and 123 participants were assigned to the rt-rtCGM group of whom 117 (95%) completed the 24-month trial. TIR increased from 51·8% (95% CI 49·1-54·5) at start of rtCGM (month 6) to 63·5% (60·7-66·3) at month 12 in the is-rtCGM group, and remained stable up to month 24 (change 11·7 percentage points [pp] [9·4-14·0; p<0·0001). In the rt-rtCGM group, TIR increased from 52·5% (95% CI 49·8-55·1) at start of rtCGM (month 0) to 63·0% (60·3-65·8) at month 12, also remaining stable up to month 24 (change 10·5 pp [8·2-12·8]; p<0·0001). HbA1c decreased from 7·4% (57 mmol/mol; month 6) to 6·9% (52 mmol/mol) at month 24 (change -0·54 pp [95% CI -0·64 to -0·44]; -5 mmol/mol [95% CI -6 to -4]; p<0·0001) in the is-rtCGM group, and from 7·4% (57 mmol/mol; month 0) to 7·0% (53 mmol/mol) at month 24 (change -0·43 pp [95% CI -0·53 to -0·33]; -4 mmol/mol [95% CI -5 to -3]; p<0·0001) in the rt-rtCGM group. The change in HFS-worry score was -2·67 (month 24 vs month 6; p=0·0008) in the is-rtCGM group and -5·17 points (month 24 vs month 0; p<0·0001) in the rt-rtCGM group. Time in clinically significant hypoglycaemia was unchanged in both groups after month 12. Severe hypoglycaemia decreased from 31·0 to 3·3 per 100 patient-years after switching to rtCGM. INTERPRETATION Glycaemic control and hypoglycaemia worry improved significantly up to 24 months after switching from isCGM without alerts to rtCGM with alerts, supporting the use of rtCGM in the care of adults with type 1 diabetes. FUNDING Dexcom.
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Affiliation(s)
- Margaretha M Visser
- Department of Endocrinology, University Hospitals Leuven - KU Leuven, Leuven, Belgium
| | - Sara Charleer
- Department of Endocrinology, University Hospitals Leuven - KU Leuven, Leuven, Belgium
| | - Steffen Fieuws
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics, KU Leuven and University of Hasselt, Leuven, Belgium
| | - Christophe De Block
- Department of Endocrinology-Diabetology-Metabolism, University Hospital Antwerp, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Robert Hilbrands
- Academic Hospital and Diabetes Research Centre, Vrije Universiteit Brussel, Brussels, Belgium
| | | | - Toon Maes
- Department of Endocrinology, Imeldaziekenhuis Bonheiden, Bonheiden, Belgium
| | | | - Eveline Dirinck
- Department of Endocrinology-Diabetology-Metabolism, University Hospital Antwerp, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Nele Myngheer
- Department of Endocrinology, AZ Groeninge, Kortrijk, Belgium
| | - Chris Vercammen
- Department of Endocrinology, Imeldaziekenhuis Bonheiden, Bonheiden, Belgium
| | - Frank Nobels
- Department of Endocrinology, OLV Hospital Aalst, Aalst, Belgium
| | - Bart Keymeulen
- Academic Hospital and Diabetes Research Centre, Vrije Universiteit Brussel, Brussels, Belgium
| | - Chantal Mathieu
- Department of Endocrinology, University Hospitals Leuven - KU Leuven, Leuven, Belgium
| | - Pieter Gillard
- Department of Endocrinology, University Hospitals Leuven - KU Leuven, Leuven, Belgium; Academic Hospital and Diabetes Research Centre, Vrije Universiteit Brussel, Brussels, Belgium.
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Oriot P, Hermans MP. Intermittent-scanned continuous glucose monitoring with low glucose alarms decreases hypoglycemia incidence in middle-aged adults with type 1 diabetes in real-life setting. J Diabetes Complications 2023; 37:108385. [PMID: 36603333 DOI: 10.1016/j.jdiacomp.2022.108385] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 12/08/2022] [Accepted: 12/09/2022] [Indexed: 12/27/2022]
Abstract
OBJECTIVE There is limited real-life data demonstrating that hypo-/hyperglycemic alarms added to continuous glucose monitoring (CGM) improve metabolic control in adults with type 1 diabetes (T1D). We evaluated the usefulness of switching from a flash or intermittent-scanned continuous glucose monitoring (is-CGM) device without low or higher glucose alarms to a is-CGM device with alarms to prevent hypoglycemia in adults with T1D. METHODS Individuals with T1D and fearful of hypoglycemia, prone to hypoglycemia unawareness, and/or experiencing severe hypoglycemia while using is-CGM Free Style Libre 1 (FSL1) were switched to FSL2 with individually-programmable low glucose alarms. The primary endpoint was the changes in % time below range (TBR%) <70 mg/dl [3.9 mmol/l] and <54 mg/dl [3.0 mmol/l] after 12 weeks on FSL2 compared with FSL1. Secondary endpoints were changes in % time in range (TIR% 70-180 mg/dl [3.9-10.0 mmol/l]), % time above range (TAR%) >180 [10.0 mmol/l], mean interstitial glucose, glycemic management indicator (GMI), interstitial glucose coefficient of variation (CV%), hemoglobin A1c, and sensor's scans/day. RESULTS We included 108 individuals (57.4 % men), aged 58.2 ± 17.3 [95 % CI: 55.0 to 61.5] years, with mean diabetes duration 25 ± 14.6 [95 % CI: 22.1 to 27.7] years. Among individuals, 40 (37.0 %) had hypoglycemia awareness with Clarke's score ≥4 and 19 (17.5 %) had a history of severe hypoglycemia. The median low glucose alarm threshold was 70 [IQR: 65-70] mg/dl (3.9 [IQR: 3.6-3.9] mmol/L). By comparison of first 12 weeks on FSL2 vs. last 12 weeks on FSL1, TBR% <70 mg/dl decreased from 4.5 ± 4.4 to 2.3 ± 2.8 % (p < 0.001), TBR% <54 mg/dl decreased from 1.4 ± 2.2 to 0.3 ± 0.9 % (p < 0.001). TIR% was not significantly different (51.5 ± 14.9 vs. 52.9 ± 16 % (p = 0.13)), nor was TAR% (43.8 ± 16.2 vs. 44.7 ± 16.5 % (p = 0.5)). CV% decreased from 39.4 ± 6.9 to 37.9 ± 6.1 % (p < 0.001). Those at risk for hypoglycemia (TBR >4 % and >1 %, respectively, at baseline) showed a significant decrease in the incidence of hypoglycemia <70 and <54 mg/dl (p < 0.0001). Patients' satisfaction with hypoglycemia alarms was high, since all individuals opted to pursue using individual alarm beyond the study period. CONCLUSION Switching from FSL1 to FSL2 with low glucose alarms reduced the frequency of hypoglycemia in middle-age adults with T1D, particularly in those who were prone to hypoglycemia awareness or severe hypoglycemia.
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Affiliation(s)
- Philippe Oriot
- Centre Hospitalier de Mouscron, Service de diabétologie et endocrinologie, Mouscron, Belgium.
| | - Michel P Hermans
- Cliniques Universitaires Saint-Luc, Service d'Endocrinologie et Nutrition, Brussels, Belgium
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The Advanced Diabetes Technologies for Reduction of the Frequency of Hypoglycemia and Minimizing the Occurrence of Severe Hypoglycemia in Children and Adolescents with Type 1 Diabetes. J Clin Med 2023; 12:jcm12030781. [PMID: 36769430 PMCID: PMC9917934 DOI: 10.3390/jcm12030781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 01/09/2023] [Accepted: 01/17/2023] [Indexed: 01/20/2023] Open
Abstract
Hypoglycemia is an often-observed acute complication in the management of children and adolescents with type 1 diabetes. It causes inappropriate glycemic outcomes and may impair the quality of life in the patients. Severe hypoglycemia with cognitive impairment, such as a convulsion and coma, is a lethal condition and is associated with later-onset cognitive impairment and brain-structural abnormalities, especially in young children. Therefore, reducing the frequency of hypoglycemia and minimizing the occurrence of severe hypoglycemia are critical issues in the management of children and adolescents with type 1 diabetes. Advanced diabetes technologies, including continuous glucose monitoring and sensor-augmented insulin pumps with low-glucose suspension systems, can reduce the frequency of hypoglycemia and the occurrence of severe hypoglycemia without aggravating glycemic control. The hybrid closed-loop system, an automated insulin delivery system, must be the most promising means to achieve appropriate glycemic control with preventing severe hypoglycemia. The use of these advanced diabetes technologies could improve glycemic outcomes and the quality of life in children and adolescents with type 1 diabetes.
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Oliver N, Chow E, Luk AOY, Murphy HR. Applications of continuous glucose monitoring across settings and populations: Report from the 23rd Hong Kong diabetes and cardiovascular risk factors-East meets west symposium. Diabet Med 2023; 40:e15038. [PMID: 36617376 DOI: 10.1111/dme.15038] [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: 08/17/2022] [Revised: 12/18/2022] [Accepted: 12/20/2022] [Indexed: 01/09/2023]
Abstract
Continuous glucose monitoring (CGM) is now an integral part of glycaemic management in people with type 1 diabetes and those with insulin-treated type 2 diabetes. Immediate access to information on CGM glucose levels and trends helps to inform food choices, titration and timing of insulin doses and prompts corrective actions in the event of impending hypo- or hyperglycaemia. Although glycated haemoglobin (HbA1c) remains an important measure of the average of glucose, CGM metrics including time-in-range (TIR) and other metrics on glycaemic variability and hypoglycaemia are strongly endorsed by people with diabetes as impacting their daily lives. There is growing consensus on definitions and targets of CGM metrics with an increasing number of studies demonstrating correlations between CGM metrics and incident complications of diabetes. Implementation of new technologies needs to take into consideration factors such as cost-effectiveness, accessibility as well as acceptability of the person with diabetes and healthcare professional. The United Kingdom is one of the few countries that have developed clinical pathways for integrating CGM into the routine care of people with type 1 diabetes. Besides type 1 diabetes, special groups such as people with impaired kidney function and women during pregnancy may derive additional benefits from CGM.
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Affiliation(s)
- Nick Oliver
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, England
| | - Elaine Chow
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Andrea O Y Luk
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Helen R Murphy
- Cambridge University, NHS Foundation Trust, Cambridge, England
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Oliver N. Diabetes Therapy Podcast: Real-World Data for Glucose Sensing Technologies in Type 1 Diabetes. Diabetes Ther 2023; 14:1-10. [PMID: 36434158 PMCID: PMC9880117 DOI: 10.1007/s13300-022-01331-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 10/25/2022] [Indexed: 11/27/2022] Open
Abstract
For people living with type 1 diabetes (T1D), home glucose monitoring has evolved from occasional qualitative urine tests to frequently sampled continuous data providing hundreds of data points per day to inform optimal self-management. Continuous glucose monitoring technologies have a robust evidence base derived from randomized controlled trials (RCTs) over the last 20 years, and are now implemented in routine clinical practice, reflecting their clinical and cost effectiveness. However, while randomized studies are the gold standard, they can be slow to set-up, unrepresentative and do not provide data for efficacy in large, unselected populations. Real-world data can be responsive to rapid product cycles in technologies, provide a large, representative population, and have a lower regulatory burden. In this podcast we discuss the advantages and pitfalls of using real-world data to assess the efficacy of continuous glucose sensing technologies in people with T1D, with reference to examples of real-world data for real-time and intermittently scanned continuous glucose monitoring. Large datasets confirm the RCT data for real-time technologies and additionally provide data for work absenteeism and hospital admissions, as well as showing the impact of advanced technology features that can be difficult to assess in randomized studies. Real-world data for intermittently scanned monitoring also confirm the randomized controlled trial data, provide additional insights not shown in controlled study environments and highlight the importance of health equality. A mature real-world dataset for automated insulin delivery systems is now available and the future of glucose sensing is also discussed.
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Affiliation(s)
- Nick Oliver
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.
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ElSayed NA, Aleppo G, Aroda VR, Bannuru RR, Brown FM, Bruemmer D, Collins BS, Hilliard ME, Isaacs D, Johnson EL, Kahan S, Khunti K, Leon J, Lyons SK, Perry ML, Prahalad P, Pratley RE, Seley JJ, Stanton RC, Gabbay RA. 7. Diabetes Technology: Standards of Care in Diabetes-2023. Diabetes Care 2023; 46:S111-S127. [PMID: 36507635 PMCID: PMC9810474 DOI: 10.2337/dc23-s007] [Citation(s) in RCA: 114] [Impact Index Per Article: 114.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Guo L, Li Y, Zhang M, Xiao X, Kuang H, Yang T, Jia X, Zhang X. Efficacy of unblinded and blinded intermittently scanned continuous glucose monitoring for glycemic control in adults with type 1 diabetes. Front Endocrinol (Lausanne) 2023; 14:1110845. [PMID: 36909344 PMCID: PMC9992877 DOI: 10.3389/fendo.2023.1110845] [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: 11/29/2022] [Accepted: 02/09/2023] [Indexed: 02/24/2023] Open
Abstract
OBJECTIVE Intermittently scanned continuous glucose monitoring (isCGM) is used for unblinded or blinded monitoring of interstitial glucose. We aimed to compare the efficacy of blinded and unblinded isCGM with the FreeStyle Libre system for glycemic control in adults with type 1 diabetes (T1D). RESEARCH DESIGN AND METHODS This randomized clinical trial conducted between October 2018 and September 2019 across four endocrinology practices in China included 273 adults aged ≥18 years with T1D, who were randomly divided in a 2:1 ratio into the unblinded (n = 199) or blinded isCGM group (n = 78). In the blinded group, the clinician used FreeStyle Libre Pro system for monitoring, but self-monitoring was also performed by the patients. RESULTS Two hundred sixteen (78%) participants completed the study (152 [75%] in the unblinded and 64 [82%] in the blinded group). At 12 weeks, a significant increase in TIR (3.9-10.0 mmol/L) was only observed in the unblinded group, along with a significant decrease in hyperglycemia (>13.9 mmol/L), hypoglycemia (<3.0 mmol/L), glycemic variability. Further, the mean HbA1c reduction from baseline to 12 weeks was 0.5% in the unblinded isCGM group and 0.4% in the blinded isCGM group respectively (P < 0.001), but the significance did not remain after adjustment for between-group differences. Finally, 99.5% of the blinded isCGM values and 93.8% the of unblinded isCGM values were obtained at the final visit. CONCLUSIONS The unblinded isCGM system was associated with benefits for glucose management, but nearly 100% of the attempted profiles were obtained successfully with the blinded isCGM system. Thus, combining real-time and retrospective data with isCGM might be the most impactful way to utilize flash glycemic monitoring devices.
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Affiliation(s)
- Lixin Guo
- Department of Endocrinology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Sciences, Beijing, China
- *Correspondence: Lixin Guo,
| | - Yuxiu Li
- Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Mei Zhang
- Department of Endocrinology and Metabolism, The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xinhua Xiao
- Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Hongyu Kuang
- Department of Endocrinology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Tao Yang
- Department of Endocrinology and Metabolism, The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xiaofan Jia
- Department of Endocrinology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Sciences, Beijing, China
| | - Xianbo Zhang
- Department of Endocrinology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Sciences, Beijing, China
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Speight J, Choudhary P, Wilmot EG, Hendrieckx C, Forde H, Cheung WY, Crabtree T, Millar B, Traviss-Turner G, Hill A, Ajjan RA. Impact of glycaemic technologies on quality of life and related outcomes in adults with type 1 diabetes: A narrative review. Diabet Med 2023; 40:e14944. [PMID: 36004676 DOI: 10.1111/dme.14944] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 08/18/2022] [Indexed: 12/24/2022]
Abstract
AIMS To explore the association between the use of glycaemic technologies and person-reported outcomes (PROs) in adults with type 1 diabetes (T1D). METHODS We included T1D and technology publications reporting on PROs since 2014. Only randomised controlled trials and cohort studies that used validated PRO measures (PROMs) were considered. RESULTS T1D studies reported on a broad range of validated PROMs, mainly as secondary outcome measures. Most studies examined continuous glucose monitoring (CGM), intermittently scanned CGM (isCGM), and the role of continuous subcutaneous insulin infusion (CSII), including sensor-augmented CSII and closed loop systems. Generally, studies demonstrated a positive impact of technology on hypoglycaemia-specific and diabetes-specific PROs, including reduced fear of hypoglycaemia and diabetes distress, and greater satisfaction with diabetes treatment. In contrast, generic PROMs (including measures of health/functional status, emotional well-being, depressive symptoms, and sleep quality) were less likely to demonstrate improvements associated with the use of glycaemic technologies. Several studies showed contradictory findings, which may relate to study design, population and length of follow-up. Differences in PRO findings were apparent between randomised controlled trials and cohort studies, which may be due to different populations studied and/or disparity between trial and real-world conditions. CONCLUSIONS PROs are usually assessed as secondary outcomes in glycaemic technology studies. Hypoglycaemia-specific and diabetes-specific, but not generic, PROs show the benefits of glycaemic technologies, and deserve a more central role in future studies as well as routine clinical care.
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Affiliation(s)
- Jane Speight
- School of Psychology, Deakin University, Geelong, Australia
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, Australia
| | - Pratik Choudhary
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Emma G Wilmot
- Department of Diabetes, University Hospitals of Derby and Burton NHS Foundation Trust, Derby, UK
- Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK
| | - Christel Hendrieckx
- School of Psychology, Deakin University, Geelong, Australia
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, Australia
| | - Hannah Forde
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Wai Yee Cheung
- Diabetes Research Unit Cymru, Swansea University Medical School, Swansea, UK
| | - Thomas Crabtree
- Department of Diabetes, University Hospitals of Derby and Burton NHS Foundation Trust, Derby, UK
- Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK
| | - Bekki Millar
- Diabetes Research Steering Group, Diabetes UK, London, UK
| | | | - Andrew Hill
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Ramzi A Ajjan
- Leeds Institute of Cardiovascular and Metabolic Medicine, the LIGHT Laboratories, University of Leeds, Leeds, UK
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Serné EH, van den Berg IK, Racca C, van Raalte DH, Kramer MHH, de Wit M, Snoek FJ. Improved Effectiveness of Immediate Continuous Glucose Monitoring in Hypoglycemia-Prone People with Type 1 Diabetes Compared with Hypoglycemia-Focused Psychoeducation Following a Previous Structured Education: A Randomized Controlled Trial. Diabetes Technol Ther 2023; 25:50-61. [PMID: 36326825 DOI: 10.1089/dia.2022.0232] [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: 11/06/2022]
Abstract
Objective: Stepped-care has been suggested in the management of patients with problematic hypoglycemia and impaired awareness of hypoglycemia (IAH), initially with psychoeducational programs based on blood glucose awareness training, progressing to diabetes technology in those with persisting need. We examined the clinical effectiveness of stepped-care starting with HypoAware and adding continuous glucose monitoring (CGM) as needed, versus immediate CGM in type 1 diabetes patients with problematic hypoglycemia despite previous structured education in insulin adjustment. Research Design and Methods: A randomized controlled trial (N = 52, mean age 53, 56% females). The stepped-care group attended HypoAware. If a severe hypoglycemic event (SHE) had occurred or IAH was still present after 6 months, CGM was initiated. The control group started immediate CGM. Primary endpoint was the number of participants with self-reported SHE. Secondary outcomes, evaluated at 6 and 12 months, were glycated hemoglobin (HbA1c), the number of participants with IAH time below range (TBR; <54 mg/dL), and patient-reported outcomes (PROs). Results: At 6 months, the number of patients reporting SHE had decreased significantly more in the CGM group: -39% (P < 0.05). HbA1c decreased more in the CGM group (-0.47 percentage-points, P < 0.05). IAH was restored in 31% of patients in both groups. TBR (<54 mg/dL) was lower in the CGM group (-2.4 percentage-points, P < 0.05). In the stepped-care group, 93% started CGM/intermittently scanned CGM. At 12 months, the number of patients reporting SHE was still higher in the stepped-care group. No differences were found in PROs. Conclusions: Immediate start of CGM is more effective than a hypoglycemia-focused reeducation program in reducing SHE risk and attaining glycemic targets in individuals with problematic hypoglycemia and IAH despite previous education in insulin dose adjustment. Trial registration: Netherlands Trial Register, NL64474.029.18.
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Affiliation(s)
- Erik H Serné
- Department of Internal Medicine, Diabetes Center, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Ingrid Kirsten van den Berg
- Department of Medical Psychology, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Caterina Racca
- Department of Internal Medicine, Diabetes Center, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Daniël H van Raalte
- Department of Internal Medicine, Diabetes Center, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Mark H H Kramer
- Department of Internal Medicine, Diabetes Center, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Maartje de Wit
- Department of Medical Psychology, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Frank J Snoek
- Department of Medical Psychology, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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Time in Range in Children with Type 1 Diabetes before and during a Diabetes Camp-A Ceiling Effect? CHILDREN (BASEL, SWITZERLAND) 2022; 9:children9121951. [PMID: 36553394 PMCID: PMC9777517 DOI: 10.3390/children9121951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 12/03/2022] [Accepted: 12/07/2022] [Indexed: 12/14/2022]
Abstract
Background: The aim of this study was to assess and compare the time in range (TIR) of children with type 1 diabetes (T1D) before and during a diabetes summer camp using different therapy modalities. Methods: A retrospective analysis of continuous glucose monitoring (CGM) data collected from 26 children with T1D (mean age: 11.0 ± 1.4 years; 62% female; 62% on insulin pump; Hb1Ac 7.3 ± 0.8% (56.3 ± 8.7 mmol/mol) before and during a 14-day summer camp. CGM methods: 50% intermittently scanned CGM (isCGM) and 50% real-time CGM (rtCGM). No child was using a hybrid closed loop system. Results: Mean TIR during camp was significantly higher than before camp ((67.0 ± 10.7%) vs. 58.2% ± 17.4%, p = 0.004). There was a significant reduction in time above range (TAR) (p = 0.001) and increase in time below range (TBR) (p < 0.001), Children using isCGM showed a more pronounced improvement in TIR during camp compared to rtCGM-users (p = 0.025). The increase in TIR strongly correlated with numbers of scans per day in isCGM-users (r = 0.751, p = 0.003). Compared to isCGM-users, rtCGM-users showed significantly less TBR. The TIR target was met by 30.8% of participants during camp. Conclusion: Glycemic control improved significantly during the camp. However, on average, the therapy goal (TIR > 70%) could not be achieved despite great professional effort.
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Radovnická L, Hásková A, Do QD, Horová E, Navrátilová V, Mikeš O, Cihlář D, Parkin CG, Grunberger G, Prázný M, Šoupal J. Lower Glycated Hemoglobin with Real-Time Continuous Glucose Monitoring Than with Intermittently Scanned Continuous Glucose Monitoring After 1 Year: The CORRIDA LIFE Study. Diabetes Technol Ther 2022; 24:859-867. [PMID: 36037056 DOI: 10.1089/dia.2022.0152] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Background: The aim was to compare the efficacy of real-time continuous glucose monitoring (rtCGM) and intermittently scanned continuous glucose monitoring (isCGM) focusing on glycated hemoglobin (HbA1c) as the primary endpoint. Methods: The CORRIDA LIFE was a 12-month, real-world, nonrandomized study that is part of the CORRIDA clinical trials program. The study compared rtCGM (Dexcom G5 or G6) and isCGM (FreeStyle Libre 14-Day; Abbott) in adults with type 1 diabetes (T1D). Only patients on multiple daily insulin injections or continuous subcutaneous insulin infusion with no automatic functions were included in this study. Primary outcome was the difference in HbA1c between study groups at 12 months. Results: One hundred ninety-one adults with T1D (mean age 40 ± 13 years, HbA1c 8.1% ± 3.4% [65 ± 14 mmol/mol]) participated in this study; 81 patients initiated rtCGM and 110 initiated isCGM. After 12-months, HbA1c was significantly lower with rtCGM versus isCGM (7.1% ± 3.1% [54.1 ± 10.1 mmol/mol] vs. 7.7% ± 3.3% [61.2 ± 12.2 mmol/mol]), P = 0.0001. The percentage of time in hypoglycemia (<70 mg/dL [<3.9 mmol/L]) was lower among rtCGM vs. isCGM participants [4.3% ± 2.8% vs. 6.4% ± 5.3%], P = 0.003). Patients with rtCGM spent less time in clinically significant hypoglycemia (<54 mg/dL [<3.0 mmol/L]) (0.9% ± 1.0% vs. 2.3% ± 2.5%, P < 0.0001) and more time in target range (70-180 mg/dL [3.9-10 mmol/L]) than isCGM users (67.5% ± 14.8% vs. 57.8% ± 17.0%), P = 0.0002. Conclusions: rtCGM was superior to isCGM in HbA1c, hypoglycemia, and other glycemic outcomes. Our findings provide guidance to clinicians when discussing monitoring options with their patients. The study was registered at www.clinicaltrials.gov (NCT04759495).
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Affiliation(s)
- Lucie Radovnická
- First Faculty of Medicine, Charles University, Prague, Czech Republic
- Department of Internal Medicine, Masaryk Hospital, Ústí nad Labem, Czech Republic
| | - Aneta Hásková
- Third Department of Internal Medicine, First Faculty of Medicine Charles University, Prague, Czech Republic
| | - Quoc Dat Do
- Third Department of Internal Medicine, First Faculty of Medicine Charles University, Prague, Czech Republic
| | - Eva Horová
- Third Department of Internal Medicine, First Faculty of Medicine Charles University, Prague, Czech Republic
| | - Vendula Navrátilová
- Third Department of Internal Medicine, First Faculty of Medicine Charles University, Prague, Czech Republic
| | - Ondřej Mikeš
- Third Department of Internal Medicine, First Faculty of Medicine Charles University, Prague, Czech Republic
| | - David Cihlář
- Department of Physical Education and Sport, Pedagogical Faculty, Jan Evangelista Purkyně University in Ústí nad Labem, Ústí nad Labem, Czech Republic
| | | | | | - Martin Prázný
- Third Department of Internal Medicine, First Faculty of Medicine Charles University, Prague, Czech Republic
| | - Jan Šoupal
- Third Department of Internal Medicine, First Faculty of Medicine Charles University, Prague, Czech Republic
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Pauley ME, Tommerdahl KL, Snell-Bergeon JK, Forlenza GP. Continuous Glucose Monitor, Insulin Pump, and Automated Insulin Delivery Therapies for Type 1 Diabetes: An Update on Potential for Cardiovascular Benefits. Curr Cardiol Rep 2022; 24:2043-2056. [PMID: 36279036 PMCID: PMC9589770 DOI: 10.1007/s11886-022-01799-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/10/2022] [Indexed: 01/11/2023]
Abstract
PURPOSE OF REVIEW The incidence of type 1 diabetes (T1D) is rising in all age groups. T1D is associated with chronic microvascular and macrovascular complications but improving glycemic trends can delay the onset and slow the progression of these complications. Utilization of technological devices for diabetes management, such as continuous glucose monitors (CGM) and insulin pumps, is increasing, and these devices are associated with improvements in glycemic trends. Thus, device use may be associated with long-term prevention of T1D complications, yet few studies have investigated the direct impacts of devices on chronic complications in T1D. This review will describe common diabetes devices and combination systems, as well as review relationships between device use and cardiovascular outcomes in T1D. RECENT FINDINGS Findings from existing cohort and national registry studies suggest that pump use may aid in improving cardiovascular risk factors such as hypertension and dyslipidemia. Furthermore, pump users have been shown to have lower arterial stiffness and better measures of myocardial function. In registry and case-control longitudinal data, pump use has been associated with fewer cardiovascular events and reduction of cardiovascular disease (CVD) and all-cause mortality. CVD is the leading cause of morbidity and mortality in T1D. Consistent use of diabetes devices may protect against the development and progression of macrovascular complications such as CVD through improvement in glycemic trends. Existing literature is limited, but findings suggest that pump use may reduce acute cardiovascular risk factors as well as chronic cardiovascular complications and overall mortality in T1D.
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Affiliation(s)
- Meghan E Pauley
- Department of Pediatrics, Section of Pediatric Endocrinology, Children's Hospital Colorado and University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA.
| | - Kalie L Tommerdahl
- Department of Pediatrics, Section of Pediatric Endocrinology, Children's Hospital Colorado and University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
- Ludeman Family Center for Women's Health Research, University of Colorado School of Medicine, Aurora, CO, USA
| | - Janet K Snell-Bergeon
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Gregory P Forlenza
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
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Kuzina IA, Goncharova EV, Martirosian NS, Telnova ME, Nedosugova LV, Tulsky AA, Petunina NA. Historical aspects of diagnosis and control of diabetes mellitus. TERAPEVT ARKH 2022; 94:1216-1220. [DOI: 10.26442/00403660.2022.10.201890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Indexed: 11/23/2022]
Abstract
Diabetes mellitus is a group of metabolic diseases affecting carbohydrate, lipid, and protein metabolism. This pathology has a long history, and it was considered a disease of the kidneys until the middle of the 19th century. Descriptions have been found in Egyptian papyri, in ancient Indian and Chinese medical literature, in the writings of ancient Greek and Arab doctors. Aretaeus of Cappadocia gave the first accurate description of the disease, coining the term diabetes. Thomas Willis first differentiated diabetes from other causes of polyuria by the sweet taste of urine. Matthew Dobson proved the presence of glucose in urine by evaporation. Claude Bernard demonstrated that hyperglycemia contributes to glucosuria. This is how the concept of the renal threshold appeared. In domestic practice, the term "renal threshold" was introduced by endocrinologist V.G. Baranov. The development of qualitative tests for determining glucose in the urine, the creation of test strips and glucometers has significantly improved the quality of life of patients with diabetes. The current stage of development of glucometry includes the determination of fasting plasma glucose, postprandial glycemia, glycated hemoglobin, as well as continuous glucose monitoring. Continuous glucose monitoring systems make it possible to estimate the time in target range, show the rate of rise or fall of glucose levels. It affects the rate and degree of carbohydrate metabolism compensation and allows for maximum control of the disease.
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Rigon FA, Ronsoni MF, Vianna AGD, de Lucca Schiavon L, Hohl A, van de Sande-Lee S. Flash glucose monitoring system in special situations. ARCHIVES OF ENDOCRINOLOGY AND METABOLISM 2022; 66:883-894. [PMID: 35657123 PMCID: PMC10118756 DOI: 10.20945/2359-3997000000479] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Accepted: 02/04/2022] [Indexed: 02/08/2023]
Abstract
The management of diabetes mellitus (DM) requires maintaining glycemic control, and patients must keep their blood glucose levels close to the normal range to reduce the risk of microvascular complications and cardiovascular events. While glycated hemoglobin (A1C) is currently the primary measure for glucose management and a key marker for long-term complications, it does not provide information on acute glycemic excursions and overall glycemic variability. These limitations may even be higher in some special situations, thereby compromising A1C accuracy, especially when wider glycemic variability is expected and/or when the glycemic goal is more stringent. To attain adequate glycemic control, continuous glucose monitoring (CGM) is more useful than self-monitoring of blood glucose (SMBG), as it is more convenient and provides a greater amount of data. Flash Glucose Monitoring (isCGM /FGM) is a widely accepted option of CGM for measuring interstitial glucose levels in individuals with DM. However, its application under special conditions, such as pregnancy, patients on hemodialysis, patients with cirrhosis, during hospitalization in the intensive care unit and during physical exercise has not yet been fully validated. This review addresses some of these specific situations in which hypoglycemia should be avoided, or in pregnancy, where strict glycemic control is essential, and the application of isCGM/FGM could alleviate the shortcomings associated with poor glucose control or high glycemic variability, thereby contributing to high-quality care.
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Affiliation(s)
- Fernanda Augustini Rigon
- Programa de Pós-graduação em Ciências Médicas, Universidade Federal de Santa Catarina, Florianópolis, SC, Brasil,
| | - Marcelo Fernando Ronsoni
- Departamento de Clínica Médica, Universidade Federal de Santa Catarina, Florianópolis, SC, Brasil
| | - André Gustavo Daher Vianna
- Centro de Diabetes de Curitiba, Departamento de Doenças Endócrinas, Hospital Nossa Senhora das Graças, Curitiba, PR, Brasil
| | | | - Alexandre Hohl
- Departamento de Clínica Médica, Universidade Federal de Santa Catarina, Florianópolis, SC, Brasil
| | - Simone van de Sande-Lee
- Departamento de Clínica Médica, Universidade Federal de Santa Catarina, Florianópolis, SC, Brasil
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Oliver N. Finding positives. Diabet Med 2022; 39:e14967. [PMID: 36224718 DOI: 10.1111/dme.14967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Nick Oliver
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
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