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Tauschmann M, Cardona-Hernandez R, DeSalvo DJ, Hood K, Laptev DN, Lindholm Olinder A, Wheeler BJ, Smart CE. International Society for Pediatric and Adolescent Diabetes Clinical Practice Consensus Guidelines 2024 Diabetes Technologies: Glucose Monitoring. Horm Res Paediatr 2025; 97:615-635. [PMID: 39884260 PMCID: PMC11854985 DOI: 10.1159/000543156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2024] [Accepted: 12/04/2024] [Indexed: 02/01/2025] Open
Abstract
The International Society for Pediatric and Adolescent Diabetes (ISPAD) guidelines represent a rich repository that serves as the only comprehensive set of clinical recommendations for children, adolescents, and young adults living with diabetes worldwide. This chapter builds on the 2022 ISPAD guidelines, and summarizes recent advances in the technology behind glucose monitoring, and its role in glucose-responsive integrated technology that is feasible with the use of automated insulin delivery (AID) systems in children and adolescents. The International Society for Pediatric and Adolescent Diabetes (ISPAD) guidelines represent a rich repository that serves as the only comprehensive set of clinical recommendations for children, adolescents, and young adults living with diabetes worldwide. This chapter builds on the 2022 ISPAD guidelines, and summarizes recent advances in the technology behind glucose monitoring, and its role in glucose-responsive integrated technology that is feasible with the use of automated insulin delivery (AID) systems in children and adolescents.
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Affiliation(s)
- Martin Tauschmann
- Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Vienna, Austria
| | | | - Daniel J DeSalvo
- Baylor College of Medicine, Texas Children's Hospital, Houston, Texas, USA
| | - Korey Hood
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, California, USA
| | - Dmitry N Laptev
- Department of Pediatric Endocrinology, Endocrinology Research Center, Moscow, Russian Federation
| | - Anna Lindholm Olinder
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institute, Stockholm, Sweden
- Sachs' Children and Youths Hospital, Södersjukhuset, Stockholm, Sweden
| | - Benjamin J Wheeler
- Department of Women's and Children's Health, University of Otago, Dunedin, New Zealand
- Paediatrics, Health New Zealand - Southern, Dunedin, New Zealand
| | - Carmel E Smart
- Department of Paediatric Endocrinology and Diabetes, John Hunter Children's Hospital, Newcastle, New South Wales, Australia
- School of Health Sciences, University of Newcastle, Newcastle, New South Wales, Australia
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American Diabetes Association Professional Practice Committee, ElSayed NA, McCoy RG, Aleppo G, Balapattabi K, Beverly EA, Briggs Early K, Bruemmer D, Echouffo-Tcheugui JB, Ekhlaspour L, Garg R, Khunti K, Lal R, Lingvay I, Matfin G, Pandya N, Pekas EJ, Pilla SJ, Polsky S, Segal AR, Seley JJ, Stanton RC, Bannuru RR. 7. Diabetes Technology: Standards of Care in Diabetes-2025. Diabetes Care 2025; 48:S146-S166. [PMID: 39651978 PMCID: PMC11635043 DOI: 10.2337/dc25-s007] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2024]
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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American Diabetes Association Professional Practice Committee, ElSayed NA, McCoy RG, Aleppo G, Balapattabi K, Beverly EA, Briggs Early K, Bruemmer D, Echouffo-Tcheugui JB, Eichorst B, Ekhlaspour L, Garg R, Hassanein M, Khunti K, Lal R, Lingvay I, Matfin G, Middelbeek RJ, Pandya N, Pekas EJ, Pilla SJ, Polsky S, Segal AR, Seley JJ, Stanton RC, Tanenbaum ML, Urbanski P, Bannuru RR. 5. Facilitating Positive Health Behaviors and Well-being to Improve Health Outcomes: Standards of Care in Diabetes-2025. Diabetes Care 2025; 48:S86-S127. [PMID: 39651983 PMCID: PMC11635047 DOI: 10.2337/dc25-s005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2024]
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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Alqutub ST, Aljehani F. Impact of the KARAZ platform's behavioral interventions and incentives on diabetic glycemic control in Saudi Arabia. Digit Health 2025; 11:20552076251325987. [PMID: 40123886 PMCID: PMC11930475 DOI: 10.1177/20552076251325987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2024] [Accepted: 02/18/2025] [Indexed: 03/25/2025] Open
Abstract
Introduction The glucose management indicator (GMI) and time-in-range (TIR) are important glycemic parameters calculated from continuous glucose monitoring (CGM) values. KARAZ, a hybrid Internet of things-artificial intelligence platform, was developed in Saudi Arabia to help manage diabetes mellitus. The complex nature of self-care and behavior changes associated with diabetes mellitus requires breaking large behaviors into achievable ones and related incentives. Aim This study explored how tiny habits as a behavioral intervention and incentive system affect glycemic control among KARAZ Platform users with diabetes mellitus in various age groups in Saudi Arabia. Methods This retrospective study included KARAZ Platform users and analyzed the effects of behavioral interventions and incentives on GMI and TIR as glycemic control parameters. Results Of 296 active users, 118 (40%) and 148 (50%) maintained a desirable TIR and GMI, respectively. Adult females aged ≥ 26 years who consistently followed tiny habits and behavior changes exhibited a significant reduction in the GMI (5%). Intrinsic motivation through behavioral modification was more effective than external incentives for maintaining glucose control. Conclusion The findings highlight how behavioral interventions can impact GMI, suggesting their effectiveness in promoting better health behaviors and improving glycemic control in the Saudi Arabian context. Further research should investigate how these habits and behaviors can be maintained sustainably without relying on external incentives. Recommendations discussed how children with Type 1 diabetes mellitus would benefit from CGM connection to KARAZ Platform iteration and the integration of a comprehensive diabetes care program within the Saudi health system.
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Affiliation(s)
- Sulafa T Alqutub
- Department of Family and Community Medicine, College of Medicine, University of Jeddah, Jeddah, Kingdom of Saudi Arabia
| | - Faisal Aljehani
- Department of Internal Medicine, College of Medicine, University of Jeddah, Jeddah, Kingdom of Saudi Arabia
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American Diabetes Association Professional Practice Committee, ElSayed NA, McCoy RG, Aleppo G, Balapattabi K, Beverly EA, Briggs Early K, Bruemmer D, Echouffo-Tcheugui JB, Ekhlaspour L, Garg R, Khunti K, Lal R, Lingvay I, Matfin G, Pandya N, Pekas EJ, Pilla SJ, Polsky S, Segal AR, Seley JJ, Srinivasan S, Stanton RC, Bannuru RR. 14. Children and Adolescents: Standards of Care in Diabetes-2025. Diabetes Care 2025; 48:S283-S305. [PMID: 39651980 PMCID: PMC11635046 DOI: 10.2337/dc25-s014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2024]
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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Olinger AL, Sachdeva S, Manzardo AM, Cain SE. Managing Type 1 Diabetes in an Inpatient Child Psychiatric Care Setting. Diabetes Spectr 2024; 37:234-240. [PMID: 39157783 PMCID: PMC11327167 DOI: 10.2337/dsi24-0008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/20/2024]
Abstract
Individuals with diabetes are at increased risk for psychological, behavioral, and social problems. Comorbid mental illness and diabetes present a unique set of challenges for people with diabetes and their health care providers, particularly in an inpatient setting. Psychiatric symptoms before admission may affect type 1 diabetes management, and mental status and behavior can affect individuals' ability to cooperate with treatment while they are inpatients. This article describes a clinical protocol to manage type 1 diabetes and maximize patient safety in an acute inpatient child psychiatric unit.
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Affiliation(s)
- Amanda L. Olinger
- Departments of Psychiatry & Behavioral Sciences and Pediatrics, University of Kansas Medical Center, Kansas City, KS
| | - Shilpa Sachdeva
- Departments of Psychiatry & Behavioral Sciences and Pediatrics, University of Kansas Medical Center, Kansas City, KS
| | - Ann M. Manzardo
- Departments of Psychiatry & Behavioral Sciences and Pediatrics, University of Kansas Medical Center, Kansas City, KS
| | - Sharon E. Cain
- Departments of Psychiatry & Behavioral Sciences and Pediatrics, University of Kansas Medical Center, Kansas City, KS
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Kong YW, Yuan CY, Kiburg K, Brown K, Trawley S, Partovi A, Roem K, Pham C, Harrison N, Fourlanos S, Ekinci EI, O’Neal DN. Treatment Satisfaction With Omnipod DASH in Adults With Type 1 Diabetes: A Nonblinded 1:1 Randomized Controlled Trial. J Clin Endocrinol Metab 2024; 109:1984-1995. [PMID: 38373265 PMCID: PMC11244188 DOI: 10.1210/clinem/dgae088] [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: 11/04/2023] [Revised: 01/08/2024] [Accepted: 02/16/2024] [Indexed: 02/21/2024]
Abstract
CONTEXT Omnipod DASH Insulin Management System is a tubeless insulin pump that overcomes the physical inconveniences of conventional tubed insulin pump therapy (IPT). OBJECTIVE We compared treatment satisfaction with Omnipod DASH System to usual care (multiple daily injections [MDIs] or tubed IPT) in adults with type 1 diabetes using self-monitoring blood glucose (SMBG). METHODS Adults with type 1 diabetes on MDI (n = 40) or IPT (n = 25) from 4 diabetes centers in Australia were randomly assigned in a 1:1 nonblinded manner to Omnipod DASH System (Omnipod group) or continue usual care (Usual Care group) for 12 weeks, followed by a further 12-week extension during which all participants used the device. The primary outcome was treatment satisfaction assessed by change in Diabetes Technology Questionnaire "current" (ΔDTQ-current) score at 12 weeks (study end). Secondary outcomes included ΔDTQ-current following extension and other participant-reported outcomes (PROs) measuring quality of life, burden of disease treatment, and glycemic and device-related outcomes at 12 weeks (study end) and 24 weeks (end extension). RESULTS Treatment satisfaction improved more in the Omnipod group vs the Usual Care group (ΔDTQ-current score of 16.4 [21.2] vs 0.0 [12.8]; P < .001) at study end. Significantly greater improvements in other PROs and glycated hemoglobin A1c were also observed. Improvements in DTQ-current and other PROs comparing study end and end extension were similar. While percentage in time in range change from baseline did not differ at study end (-2.0 [12.7] %), it was significantly greater at end extension (5.6 [10.9] %; P = .016). CONCLUSION The Omnipod DASH System resulted in greater treatment satisfaction at 12 weeks in adults with type 1 diabetes using SMBG that was sustained after 24 weeks of device use without compromising sleep quality and fear of hypoglycemia. Improvements in glycemia were also observed.
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Affiliation(s)
- Yee Wen Kong
- Diabetes Technology Research Group, The University of Melbourne, Melbourne, Victoria 3065, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, Victoria 3065, Australia
| | - Cheng Yi Yuan
- Diabetes Technology Research Group, The University of Melbourne, Melbourne, Victoria 3065, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, Victoria 3065, Australia
| | - Katerina Kiburg
- Diabetes Technology Research Group, The University of Melbourne, Melbourne, Victoria 3065, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, Victoria 3065, Australia
| | - Katrin Brown
- Diabetes Technology Research Group, The University of Melbourne, Melbourne, Victoria 3065, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, Victoria 3065, Australia
| | - Steven Trawley
- Diabetes Technology Research Group, The University of Melbourne, Melbourne, Victoria 3065, Australia
- Department of Psychology, Cairnmillar Institute, Camberwell, Victoria 3124, Australia
- Department of Medicine, The University of Melbourne, Melbourne, Victoria 3065, Australia
| | - Andi Partovi
- Keylead Health, Melbourne, Victoria 3065, Australia
| | - Kerryn Roem
- Diabetes Technology Research Group, The University of Melbourne, Melbourne, Victoria 3065, Australia
| | - Cecilia Pham
- Department of Medicine, The University of Melbourne, Melbourne, Victoria 3065, Australia
- Department of Endocrinology, Austin Health, Heidelberg, Victoria 3084, Australia
- The Australian Centre for Accelerating Diabetes Innovations (ACADI), The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Natalie Harrison
- Geelong Endocrinology and Diabetes, Geelong, Victoria 3220, Australia
| | - Spiros Fourlanos
- Department of Medicine, The University of Melbourne, Melbourne, Victoria 3065, Australia
- The Australian Centre for Accelerating Diabetes Innovations (ACADI), The University of Melbourne, Melbourne, Victoria 3010, Australia
- Department of Diabetes and Endocrinology, The Royal Melbourne Hospital, Melbourne, Victoria 3052, Australia
| | - Elif I Ekinci
- Department of Medicine, The University of Melbourne, Melbourne, Victoria 3065, Australia
- Department of Endocrinology, Austin Health, Heidelberg, Victoria 3084, Australia
- The Australian Centre for Accelerating Diabetes Innovations (ACADI), The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - David N O’Neal
- Diabetes Technology Research Group, The University of Melbourne, Melbourne, Victoria 3065, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, Victoria 3065, Australia
- Department of Medicine, The University of Melbourne, Melbourne, Victoria 3065, Australia
- The Australian Centre for Accelerating Diabetes Innovations (ACADI), The University of Melbourne, Melbourne, Victoria 3010, Australia
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Muhammed Elamin S, Muhamad Arshad NF, Md Redzuan A, Abdul Aziz SA, Hong J, Chua XY, Bin-Abbas BS, Alsagheir A, Mohamed Shah N. Information needs on type 1 diabetes mellitus (T1DM) and its management in children and adolescents: a qualitative study. BMJ Open 2024; 14:e079606. [PMID: 38569693 PMCID: PMC10989179 DOI: 10.1136/bmjopen-2023-079606] [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: 09/06/2023] [Accepted: 02/26/2024] [Indexed: 04/05/2024] Open
Abstract
OBJECTIVE The objective of this study is to explore the information needs related to insulin therapy in children and adolescents with type 1 diabetes mellitus (T1DM) from the children's perspectives as well as their caregivers. DESIGN Qualitative study; semistructured interviews. To identify emerging themes relating to information needs, open coding and thematic analysis were employed. SETTING Participants were recruited from a tertiary care children's hospital in Kuala Lumpur, Malaysia and a specialist hospital in Riyadh, Saudi Arabia. PARTICIPANTS Thirty one children with a mean age of 11.5 years (SD=1.9) and their caregivers were interviewed. Seventeen participants were from Malaysia and 14 were from Saudi Arabia. RESULTS Four themes of information emerged from the interviews, including information related to (1) hypoglycaemia and hyperglycaemia, (2) insulin therapy, (3) injection technique and (4) other information needs pertaining to continuous glucose monitoring, access to peer groups and future advances in insulin therapy. CONCLUSION This study provided valuable insights into the information needs related to T1DM and insulin therapy among children and adolescents with T1DM that should be considered by stakeholders in the development of age-appropriate education materials. Such materials will assist children and adolescents to better manage their life-long T1DM condition from adolescence until adulthood.
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Affiliation(s)
| | | | - Adyani Md Redzuan
- Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | | | - Joyce Hong
- Department of Pediatric, Universiti Kebangsaan Malaysia Medical Centre, Cheras, Malaysia
| | - Xin Yun Chua
- Department of Pharmacy, Universiti Kebangsaan Malaysia Medical Centre, Cheras, Malaysia
| | - Bassam Saleh Bin-Abbas
- Department of Pediatrics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Afaf Alsagheir
- Department of Pediatrics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
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Eichenlaub M, Pleus S, Rothenbühler M, Bailey TS, Bally L, Brazg R, Bruttomesso D, Diem P, Eriksson Boija E, Fokkert M, Haug C, Hinzmann R, Jendle J, Klonoff DC, Mader JK, Makris K, Moser O, Nichols JH, Nørgaard K, Pemberton J, Selvin E, Spanou L, Thomas A, Tran NK, Witthauer L, Slingerland RJ, Freckmann G. Comparator Data Characteristics and Testing Procedures for the Clinical Performance Evaluation of Continuous Glucose Monitoring Systems. Diabetes Technol Ther 2024; 26:263-275. [PMID: 38194227 PMCID: PMC10979680 DOI: 10.1089/dia.2023.0465] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2024]
Abstract
Comparing the performance of different continuous glucose monitoring (CGM) systems is challenging due to the lack of comprehensive guidelines for clinical study design. In particular, the absence of concise requirements for the distribution of comparator (reference) blood glucose (BG) concentrations and their rate of change (RoC) that are used to evaluate CGM performance, impairs comparability. For this article, several experts in the field of CGM performance testing have collaborated to propose characteristics of the distribution of comparator measurements that should be collected during CGM performance testing. Specifically, it is proposed that at least 7.5% of comparator BG concentrations are <70 mg/dL (3.9 mmol/L) and >300 mg/dL (16.7 mmol/L), respectively, and that at least 7.5% of BG-RoC combinations indicate fast BG changes with impending hypo- or hyperglycemia, respectively. These proposed characteristics of the comparator data can facilitate the harmonization of testing conditions across different studies and CGM systems and ensure that the most relevant scenarios representing real-life situations are established during performance testing. In addition, a study protocol and testing procedure for the manipulation of glucose levels are suggested that enable the collection of comparator data with these characteristics. This work is an important step toward establishing a future standard for the performance evaluation of CGM systems.
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Affiliation(s)
- Manuel Eichenlaub
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | - Stefan Pleus
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
| | | | | | - Lia Bally
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital Bern, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Ronald Brazg
- Rainier Clinical Research Center, Renton, Washington, USA
| | - Daniela Bruttomesso
- Division of Metabolic Disease, Department of Medicine, University of Padua, Padua, Italy
| | - Peter Diem
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Endokrinologie Diabetologie Bern, Bern, Switzerland
| | - Elisabet Eriksson Boija
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Equalis AB, Uppsala, Sweden
| | - Marion Fokkert
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Department of Clinical Chemistry, Isala Clinics, Zwolle, The Netherlands
| | - Cornelia Haug
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | - Rolf Hinzmann
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Roche Diabetes Care GmbH, Mannheim, Germany
| | - Johan Jendle
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - David C. Klonoff
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Diabetes Research Institute of Mills-Peninsula Medical Center, San Mateo, California, USA
| | - Julia K. Mader
- Division of Endocrinology and Diabetology, Medical University of Graz, Graz, Austria
| | - Konstantinos Makris
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Clinical Biochemistry Department, KAT General Hospital, Athens, Greece
| | - Othmar Moser
- Division of Endocrinology and Diabetology, Medical University of Graz, Graz, Austria
- Department of Exercise Physiology and Metabolism, University of Bayreuth, Bayreuth, Germany
| | - James H. Nichols
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kirsten Nørgaard
- Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - John Pemberton
- Birmingham Women's and Children's Foundation Trust, Birmingham, United Kingdom
| | - Elizabeth Selvin
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Department of Cardiovascular and Clinical Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Loukia Spanou
- Department of Endocrinology, Diabetes and Metabolism, Hellenic Red Cross Hospital, Athens, Greece
| | - Andreas Thomas
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Independent Scientific Consulting, Pirna, Germany
| | - Nam K. Tran
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Department of Pathology and Laboratory Medicine, University of California Davis Health, Sacramento, California, USA
| | - Lilian Witthauer
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Diabetes Center Berne, Bern, Switzerland
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital Bern, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Robbert J. Slingerland
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Department of Clinical Chemistry, Isala Clinics, Zwolle, The Netherlands
| | - Guido Freckmann
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
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Wu V, Choleva L, Wilkes M. Optimizing Glycemic Outcomes for Children with Type 1 Diabetes. Endocrinol Metab Clin North Am 2024; 53:27-38. [PMID: 38272596 DOI: 10.1016/j.ecl.2023.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2024]
Abstract
Changes in physical growth, neurocognitive development, and pubertal maturation are some of the challenges to achieving blood glucose targets in children with type 1 diabetes mellitus. To optimize glycemic outcomes, a comprehensive approach is crucial to address psychosocial needs, expand the use of diabetes technology, and diminish health inequities.
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Affiliation(s)
- Vickie Wu
- Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, The Icahn School of Medicine at Mount Sinai, 1468 Madison Avenue, Box #1616, Annenberg Building, 4th Floor, New York, NY 10029, USA
| | - Lauryn Choleva
- Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, The Icahn School of Medicine at Mount Sinai, 1468 Madison Avenue, Box #1616, Annenberg Building, 4th Floor, New York, NY 10029, USA
| | - Meredith Wilkes
- Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, The Icahn School of Medicine at Mount Sinai, 1468 Madison Avenue, Box #1616, Annenberg Building, 4th Floor, New York, NY 10029, USA.
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Shapiro JB, Garza KP, Feldman MA, Suhs MC, Ellis J, Terry A, Howard KR, Weissberg-Benchell J. Psychosocial Care for Youth with Type 1 Diabetes: Summary of Reviews to Inform Clinical Practice. Endocrinol Metab Clin North Am 2024; 53:107-122. [PMID: 38272590 DOI: 10.1016/j.ecl.2023.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2024]
Abstract
The intensive demands of diabetes care can be difficult for youth with type 1 diabetes and their families to integrate into daily life. Standards of care in pediatric diabetes highlight the importance of evidence-based psychosocial interventions to optimize self-management behaviors and psychological well-being. The current review summarizes select systematic reviews and meta-analyses on evidence-based behavioral health interventions in pediatric diabetes. Interventions include strategies to strengthen youth psychosocial skills, improve family dynamics and caregiver mental health, enhance health and mental health equity, and address psychosocial factors related to diabetes technology use.
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Affiliation(s)
- Jenna B Shapiro
- Ann & Robert H. Lurie Children's Hospital of Chicago, Pritzker Department of Psychiatry and Behavioral Health, 225 East Chicago Avenue, Box 10, Chicago, IL 60611, USA; Northwestern University Feinberg School of Medicine, Department of Psychiatry & Behavioral Sciences, 446 E Ontario Street, Chicago, IL, USA.
| | | | - Marissa A Feldman
- Johns Hopkins All Children's Hospital, Child Development and Rehabilitation Center, 880 Sixth Street South #170, Saint Petersburg, FL 33701, USA
| | - Madeleine C Suhs
- Ann & Robert H. Lurie Children's Hospital of Chicago, Pritzker Department of Psychiatry and Behavioral Health, 225 East Chicago Avenue, Box 10, Chicago, IL 60611, USA
| | - Julia Ellis
- Ann & Robert H. Lurie Children's Hospital of Chicago, Pritzker Department of Psychiatry and Behavioral Health, 225 East Chicago Avenue, Box 10, Chicago, IL 60611, USA
| | - Amanda Terry
- Ann & Robert H. Lurie Children's Hospital of Chicago, Pritzker Department of Psychiatry and Behavioral Health, 225 East Chicago Avenue, Box 10, Chicago, IL 60611, USA; Northwestern University Feinberg School of Medicine, Department of Psychiatry & Behavioral Sciences, 446 E Ontario Street, Chicago, IL, USA
| | - Kelsey R Howard
- Ann & Robert H. Lurie Children's Hospital of Chicago, Pritzker Department of Psychiatry and Behavioral Health, 225 East Chicago Avenue, Box 10, Chicago, IL 60611, USA; Northwestern University Feinberg School of Medicine, Department of Psychiatry & Behavioral Sciences, 446 E Ontario Street, Chicago, IL, USA
| | - Jill Weissberg-Benchell
- Ann & Robert H. Lurie Children's Hospital of Chicago, Pritzker Department of Psychiatry and Behavioral Health, 225 East Chicago Avenue, Box 10, Chicago, IL 60611, USA; Northwestern University Feinberg School of Medicine, Department of Psychiatry & Behavioral Sciences, 446 E Ontario Street, Chicago, IL, USA
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Guerlich K, Patro-Golab B, Dworakowski P, Fraser AG, Kammermeier M, Melvin T, Koletzko B. Evidence from clinical trials on high-risk medical devices in children: a scoping review. Pediatr Res 2024; 95:615-624. [PMID: 37758865 PMCID: PMC10899114 DOI: 10.1038/s41390-023-02819-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 08/31/2023] [Accepted: 09/03/2023] [Indexed: 09/29/2023]
Abstract
BACKGROUND Meeting increased regulatory requirements for clinical evaluation of medical devices marketed in Europe in accordance with the Medical Device Regulation (EU 2017/745) is challenging, particularly for high-risk devices used in children. METHODS Within the CORE-MD project, we performed a scoping review on evidence from clinical trials investigating high-risk paediatric medical devices used in paediatric cardiology, diabetology, orthopaedics and surgery, in patients aged 0-21 years. We searched Medline and Embase from 1st January 2017 to 9th November 2022. RESULTS From 1692 records screened, 99 trials were included. Most were multicentre studies performed in North America and Europe that mainly had evaluated medical devices from the specialty of diabetology. Most had enrolled adolescents and 39% of trials included both children and adults. Randomized controlled trials accounted for 38% of the sample. Other frequently used designs were before-after studies (21%) and crossover trials (20%). Included trials were mainly small, with a sample size <100 participants in 64% of the studies. Most frequently assessed outcomes were efficacy and effectiveness as well as safety. CONCLUSION Within the assessed sample, clinical trials on high-risk medical devices in children were of various designs, often lacked a concurrent control group, and recruited few infants and young children. IMPACT In the assessed sample, clinical trials on high-risk medical devices in children were mainly small, with variable study designs (often without concurrent control), and they mostly enrolled adolescents. We provide a systematic summary of methodologies applied in clinical trials of medical devices in the paediatric population, reflecting obstacles in this research area that make it challenging to conduct adequately powered randomized controlled trials. In view of changing European regulations and related concerns about shortages of high-risk medical devices for children, our findings may assist competent authorities in setting realistic requirements for the evidence level to support device conformity certification.
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Affiliation(s)
- Kathrin Guerlich
- LMU-Ludwig Maximilians Universität Munich, Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU University Hospital, Munich, Germany
- Child Health Foundation - Stiftung Kindergesundheit, c/o Dr. von Hauner Children's Hospital, Munich, Germany
| | - Bernadeta Patro-Golab
- LMU-Ludwig Maximilians Universität Munich, Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU University Hospital, Munich, Germany
| | | | - Alan G Fraser
- Department of Cardiology, University Hospital of Wales, Cardiff, Wales, UK
| | - Michael Kammermeier
- LMU-Ludwig Maximilians Universität Munich, Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU University Hospital, Munich, Germany
| | - Tom Melvin
- Department of Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Berthold Koletzko
- LMU-Ludwig Maximilians Universität Munich, Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU University Hospital, Munich, Germany.
- Child Health Foundation - Stiftung Kindergesundheit, c/o Dr. von Hauner Children's Hospital, Munich, Germany.
- European Academy of Paediatrics, Brussels, Belgium.
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American Diabetes Association Professional Practice Committee, ElSayed NA, Aleppo G, Bannuru RR, Beverly EA, Bruemmer D, Collins BS, Darville A, Ekhlaspour L, Hassanein M, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. 5. Facilitating Positive Health Behaviors and Well-being to Improve Health Outcomes: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S77-S110. [PMID: 38078584 PMCID: PMC10725816 DOI: 10.2337/dc24-s005] [Citation(s) in RCA: 103] [Impact Index Per Article: 103.0] [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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14
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Welsh JB, Psavko S, Zhang X, Gao P, Balo AK. Comparisons of Fifth-, Sixth-, and Seventh-Generation Continuous Glucose Monitoring Systems. J Diabetes Sci Technol 2024; 18:143-147. [PMID: 35695305 PMCID: PMC10899839 DOI: 10.1177/19322968221099879] [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] [Indexed: 11/17/2022]
Abstract
BACKGROUND Between-system differences for continuous glucose monitoring (CGM) devices have important clinical consequences. PURPOSE Here we review attributes of Dexcom's fifth-, sixth-, and seventh-generation (G5, G6, and G7) CGM systems. METHODS Accuracy metrics were derived from preapproval trials of the three systems and compared after propensity score adjustments were used to balance baseline demographic characteristics. Metrics included mean absolute relative differences (MARD) between CGM and YSI values and the proportion of CGM values within 20% or 20 mg/dL of the YSI values ("%20/20"). Ease-of-use was evaluated by formal task analysis. CONCLUSIONS Adjusted MARD and %20/20 agreement rates were 9.0%/93.1% (abdomen-placed G5), 9.9%/92.3% (abdomen-placed G6), 9.1%/93.2% (abdomen-placed G7), and 8.2%/95.3% (arm-placed G7). Task analysis favored G7 over earlier systems. Favorable clinical outcomes such as hemoglobin A1c reduction and hypoglycemia avoidance seen with G5 and G6 are anticipated with G7 use.
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15
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American Diabetes Association Professional Practice Committee, 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: 118] [Impact Index Per Article: 118.0] [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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Pangrace M, Dolan S, Grace T, Greene E, Long E, McClelland S, Moore J, Morgan DE, Mullins H, Wescott S. AMCP Market Insights Health Plan Best Practice: Implementing continuous glucose monitoring to improve patient outcomes in diabetes. J Manag Care Spec Pharm 2024; 30:S1-S15. [PMID: 38190244 DOI: 10.18553/jmcp.2024.30.1-a.s1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
Diabetes is a complex chronic condition that affects the body's ability to produce or use insulin effectively, resulting in elevated blood glucose levels. It is associated with various complications and comorbidities, significantly impacting both individuals and the health care system. Effective management involves a combination of lifestyle adjustments, medication adherence, monitoring, education, and support. The expanding use of continuous glucose monitoring (CGM) has been transformative in diabetes care, providing valuable real-time data and insights for better management. To understand the opportunity for health plans to support improved patient outcomes with CGM, AMCP sponsored a multifaceted approach to identify best practices consisting of expert interviews, a national payer survey, an expert panel workshop with clinical experts and managed care stakeholders, and a national webcast to communicate the program findings. This article summarizes current evidence for CGM to support managed care and payer professionals in making collaborative, evidence-based decisions to optimize outcomes among patients with diabetes. In addition, this review also presents the findings of a national payer survey and describes expert-supported health plan best practices around coverage and access to CGM.
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Affiliation(s)
| | - Sheri Dolan
- Bureau of Professional and Ancillary Services, University of Illinois at Chicago
| | | | | | | | | | - Josh Moore
- MO HealthNet Division, Missouri Department of Social Services, Columbia
| | - Diane E Morgan
- Government Programs Pharmacy, UnitedHealthcare, Severn, MD
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17
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American Diabetes Association Professional Practice Committee, ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. 14. Children and Adolescents: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S258-S281. [PMID: 38078582 PMCID: PMC10725814 DOI: 10.2337/dc24-s014] [Citation(s) in RCA: 54] [Impact Index Per Article: 54.0] [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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18
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March C, Sherman J, Bannuru RR, Fischer A, Gabbay RA, Rodriguez H, Rodriguez J, Weissberg-Benchell J, Woodward C, ElSayed NA. Care of Young Children With Diabetes in the Childcare and Community Setting: A Statement of the American Diabetes Association. Diabetes Care 2023; 46:2102-2111. [PMID: 37902975 PMCID: PMC11294487 DOI: 10.2337/dci23-0083] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/01/2023]
Abstract
Diabetes management in children extends from the home to other settings where children spend a significant portion of their waking hours. For young children (generally, aged <5 years) with diabetes, this includes childcare centers. Given their age and developmental stage, young children require a carefully thought-out, proactive diabetes care plan for the childcare setting, developed jointly by the health care provider and parents/guardians, and implemented by childcare staff. In the U.S., federal laws and some state laws protect the rights of children with diabetes in childcare and other settings to ensure they receive appropriate assistance with the diabetes management and care. This American Diabetes Association (ADA) Statement addresses the legal rights of children in the childcare setting, outlines the current best practices for diabetes care, and provides resources and responsibilities for parents/guardians, childcare providers, and health care providers. The ADA intends for these tools and information to support the health and well-being of young children with diabetes and offer helpful guidance to those caring for them.
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Affiliation(s)
- Christine March
- Division of Pediatric Endocrinology, UPMC Children’s Hospital of Pittsburgh, Pittsburgh, PA
| | | | | | | | | | - Henry Rodriguez
- University of South Florida Morsani College of Medicine, Tampa, FL
| | | | - Jill Weissberg-Benchell
- Northwestern University Feinberg School of Medicine, Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL
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19
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Kong YW, Yuan CY, Kiburg K, Brown K, Trawley S, Partovi A, Roem K, Harrison N, Fourlanos S, Ekinci EI, O'Neal DN. A pilot randomised controlled parallel arm trial evaluating treatment satisfaction with the Omnipod DASH ® Insulin Management System compared with usual care in adults with type 1 diabetes in Australia: rationale, study design and methodologies. Pilot Feasibility Stud 2023; 9:171. [PMID: 37814352 PMCID: PMC10561483 DOI: 10.1186/s40814-023-01400-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 09/14/2023] [Indexed: 10/11/2023] Open
Abstract
BACKGROUND Insulin pump therapy (IPT) improves glucose control in people with type 1 diabetes (T1D) compared with multiple daily injections (MDI). However, their size, the tethered insulin infusion set, intrusiveness when operating the device and the need to disconnect during showering limit their acceptance to many who may benefit. The Omnipod DASH® Insulin Management System is a small waterproof tubeless device which is wirelessly controlled by a handheld device which may be an acceptable alternative. However, there are no randomised controlled trials focusing on the impact on user perceptions of tubeless insulin pump therapy. This pilot study aims to assess study feasibility and acceptability of patch pump therapy compared with usual care in adults with T1D in Australia to inform power calculations and progression to a large-scale multi-site randomised controlled study. METHODS A pilot multi-site parallel randomised controlled study will be conducted in sixty-four adults with T1D who are managed on MDI or IPT and self-monitoring with finger-stick blood glucose from four specialist diabetes centres in Victoria, Australia. Following carbohydrate counting education, participants will be randomised to use Omnipod DASH® System (Omnipod group) or continue usual care (usual care group) for 12 weeks, followed by a 12-week extension phase where all participants will use Omnipod DASH® System. The primary outcome measure is feasibility determined by study completion rates with a threshold of 0.80. Acceptability of the intervention (Omnipod DASH® System) will be assessed by the difference in Diabetes Technology Questionnaire 'current' (DTQ-current) score at 12 weeks post-randomisation compared to baseline. Secondary outcomes will include other measures of user acceptance, process outcomes, resource outcomes, participant-centred outcomes, healthcare professional perceptions and glycaemic outcomes. DISCUSSION This pilot study will provide insights regarding the feasibility of the study design and the first data regarding user acceptance of insulin patch pump technology in Australian T1D adults. We anticipate that this study will provide information informing the design of a larger study evaluating the impact of patch pumps on subjective outcomes that are of significance to the person living with T1D. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry ( https://anzctr.org.au/ ) ACTRN12621001195842 (8th September 2021). Please refer to Additional file 1: Appendix 1 for full details.
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Affiliation(s)
- Yee Wen Kong
- Diabetes Technology Research Group, The University of Melbourne, Melbourne, VIC, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, VIC, Australia
- Department of Medicine, The University of Melbourne, 4th Floor, Clinical Sciences Building, 29 Regent Street, Fitzroy, VIC, Australia
| | - Cheng Yi Yuan
- Diabetes Technology Research Group, The University of Melbourne, Melbourne, VIC, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, VIC, Australia
- Department of Medicine, The University of Melbourne, 4th Floor, Clinical Sciences Building, 29 Regent Street, Fitzroy, VIC, Australia
| | - Katerina Kiburg
- Diabetes Technology Research Group, The University of Melbourne, Melbourne, VIC, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, VIC, Australia
| | - Katrin Brown
- Diabetes Technology Research Group, The University of Melbourne, Melbourne, VIC, Australia
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, VIC, Australia
| | - Steven Trawley
- Diabetes Technology Research Group, The University of Melbourne, Melbourne, VIC, Australia
- Department of Medicine, The University of Melbourne, 4th Floor, Clinical Sciences Building, 29 Regent Street, Fitzroy, VIC, Australia
- Cairnmillar Institute, Camberwell, VIC, Australia
| | | | - Kerryn Roem
- Diabetes Technology Research Group, The University of Melbourne, Melbourne, VIC, Australia
| | | | - Spiros Fourlanos
- Department of Medicine, The University of Melbourne, 4th Floor, Clinical Sciences Building, 29 Regent Street, Fitzroy, VIC, Australia
- Department of Diabetes and Endocrinology, The Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Elif I Ekinci
- Department of Medicine, The University of Melbourne, 4th Floor, Clinical Sciences Building, 29 Regent Street, Fitzroy, VIC, Australia
- Department of Endocrinology, Austin Health, Melbourne, VIC, Australia
- The Australian Centre for Accelerating Diabetes Innovations (ACADI), The University of Melbourne, Melbourne, VIC, Australia
| | - David N O'Neal
- Diabetes Technology Research Group, The University of Melbourne, Melbourne, VIC, Australia.
- Department of Endocrinology and Diabetes, St Vincent's Hospital Melbourne, Melbourne, VIC, Australia.
- Department of Medicine, The University of Melbourne, 4th Floor, Clinical Sciences Building, 29 Regent Street, Fitzroy, VIC, Australia.
- The Australian Centre for Accelerating Diabetes Innovations (ACADI), The University of Melbourne, Melbourne, VIC, Australia.
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20
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Jacobsen LM, Sherr JL, Considine E, Chen A, Peeling SM, Hulsmans M, Charleer S, Urazbayeva M, Tosur M, Alamarie S, Redondo MJ, Hood KK, Gottlieb PA, Gillard P, Wong JJ, Hirsch IB, Pratley RE, Laffel LM, Mathieu C. Utility and precision evidence of technology in the treatment of type 1 diabetes: a systematic review. COMMUNICATIONS MEDICINE 2023; 3:132. [PMID: 37794113 PMCID: PMC10550996 DOI: 10.1038/s43856-023-00358-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 09/15/2023] [Indexed: 10/06/2023] Open
Abstract
BACKGROUND The greatest change in the treatment of people living with type 1 diabetes in the last decade has been the explosion of technology assisting in all aspects of diabetes therapy, from glucose monitoring to insulin delivery and decision making. As such, the aim of our systematic review was to assess the utility of these technologies as well as identify any precision medicine-directed findings to personalize care. METHODS Screening of 835 peer-reviewed articles was followed by systematic review of 70 of them (focusing on randomized trials and extension studies with ≥50 participants from the past 10 years). RESULTS We find that novel technologies, ranging from continuous glucose monitoring systems, insulin pumps and decision support tools to the most advanced hybrid closed loop systems, improve important measures like HbA1c, time in range, and glycemic variability, while reducing hypoglycemia risk. Several studies included person-reported outcomes, allowing assessment of the burden or benefit of the technology in the lives of those with type 1 diabetes, demonstrating positive results or, at a minimum, no increase in self-care burden compared with standard care. Important limitations of the trials to date are their small size, the scarcity of pre-planned or powered analyses in sub-populations such as children, racial/ethnic minorities, people with advanced complications, and variations in baseline glycemic levels. In addition, confounders including education with device initiation, concomitant behavioral modifications, and frequent contact with the healthcare team are rarely described in enough detail to assess their impact. CONCLUSIONS Our review highlights the potential of technology in the treatment of people living with type 1 diabetes and provides suggestions for optimization of outcomes and areas of further study for precision medicine-directed technology use in type 1 diabetes.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Mustafa Tosur
- Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA
- Children's Nutrition Research Center, USDA/ARS, Houston, TX, USA
| | - Selma Alamarie
- Stanford University School of Medicine, Stanford, CA, USA
| | - Maria J Redondo
- Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA
| | - Korey K Hood
- Stanford University School of Medicine, Stanford, CA, USA
| | - Peter A Gottlieb
- Barbara Davis Center, University of Colorado School of Medicine, Aurora, CO, USA
| | | | - Jessie J Wong
- Children's Nutrition Research Center, USDA/ARS, Houston, TX, USA
| | - Irl B Hirsch
- University of Washington School of Medicine, Seattle, WA, USA
| | | | - Lori M Laffel
- Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
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21
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Tanenbaum ML, Commissariat PV. Experience with burdens of diabetes device use that affect uptake and optimal use in people with type 1 diabetes. Endocr Connect 2023; 12:e230193. [PMID: 37522857 PMCID: PMC10503226 DOI: 10.1530/ec-23-0193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Accepted: 07/31/2023] [Indexed: 08/01/2023]
Abstract
Diabetes technology continues to advance, with more individuals with type 1 diabetes (T1D) adopting insulin pumps, continuous glucose monitoring (CGM), and automated insulin delivery (AID) systems that integrate real-time glucose data with an algorithm to assist with insulin dosing decisions. These technologies are linked with benefits to glycemic outcomes (e.g. increased time in target range), diabetes management behaviors, and quality of life. However, current devices and systems are not without barriers and hassles for the user. The intent of this review is to describe the personal challenges and reactions that users experience when interacting with current diabetes technologies, which can affect their acceptance and motivation to engage with their devices. This review will discuss user experiences and strategies to address three main areas: (i) the emotional burden of utilizing a wearable device; (ii) the perceived and experienced negative social consequences of device use; and (iii) the practical challenges of wearing devices.
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Affiliation(s)
- Molly L Tanenbaum
- Division of Endocrinology, Gerontology, and Metabolism, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Persis V Commissariat
- Section on Clinical, Behavioral, and Outcomes Research, Joslin Diabetes Center, Boston, Massachusetts, USA
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22
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Bellido V, Aguilera E, Cardona-Hernandez R, Diaz-Soto G, González Pérez de Villar N, Picón-César MJ, Ampudia-Blasco FJ. Expert Recommendations for Using Time-in-Range and Other Continuous Glucose Monitoring Metrics to Achieve Patient-Centered Glycemic Control in People With Diabetes. J Diabetes Sci Technol 2023; 17:1326-1336. [PMID: 35470692 PMCID: PMC10563535 DOI: 10.1177/19322968221088601] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
New metrics for assessing glycemic control beyond HbA1c have recently emerged due to the increasing use of continuous glucose monitoring (CGM) in diabetes clinical practice. Among them, time in range (TIR) has appeared as a simple and intuitive metric that correlates inversely with HbA1c and has also been newly linked to the risk of long-term diabetes complications. The International Consensus on Time in Range established a series of target glucose ranges (TIR, time below range and time above range) and recommendations for time spent within these ranges for different diabetes populations. These parameters should be evaluated together with the ambulatory glucose profile (AGP). Using standardized visual reporting may help people with diabetes and healthcare professionals in the evaluation of glucose control in frequent clinical situations. The objective of the present review is to provide practical insights to quick interpretation of patient-centered metrics based on flash glucose monitoring data, as well as showing some visual examples of common clinical situations and giving practical recommendations for their management.
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Affiliation(s)
- Virginia Bellido
- Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen del Rocío, Sevilla, Spain
| | - Eva Aguilera
- Endocrinology and Nutrition Department, Health Sciences Research Institute and University, Hospital Germans Trias i Pujol, Badalona, Spain
| | | | - Gonzalo Diaz-Soto
- Endocrinology and Nutrition Department, Hospital Clínico Universitario de Valladolid, Valladolid, Spain
- Universidad de Valladolid, Valladolid, Spain
| | | | - María J. Picón-César
- Endocrinology and Nutrition Department, Hospital Universitario Virgen de la Victoria, Málaga, Spain
- Instituto de Investigación Biomédica de Málaga, Málaga, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Francisco Javier Ampudia-Blasco
- Endocrinology and Nutrition Department, Hospital Clínico Universitario de Valencia, Valencia, Spain
- INCLIVA Research Foundation, Valencia, Spain
- CIBERDEM, Madrid, Spain
- Universitat de Valencia, Valencia, Spain
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23
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Commissariat PV, DiMeglio LA, Kanapka LG, Laffel LM, Miller KM, Anderson BJ, Hilliard ME. Twelve-month psychosocial outcomes of continuous glucose monitoring with behavioural support in parents of young children with type 1 diabetes. Diabet Med 2023; 40:e15120. [PMID: 37083018 PMCID: PMC10524740 DOI: 10.1111/dme.15120] [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: 09/09/2022] [Revised: 04/11/2023] [Accepted: 04/19/2023] [Indexed: 04/22/2023]
Abstract
AIM Managing type 1 diabetes in young children can cause significant stress for parents. Continuous glucose monitoring (CGM) may reduce parental burden. The Strategies to Enhance CGM Use in Early Childhood (SENCE) trial randomized parents of children (ages 2 to <8 years) with type 1 diabetes to CGM with family behavioural intervention (CGM + FBI), CGM alone (Standard-CGM) or blood glucose monitoring for 26 weeks before receiving CGM + FBI (BGM-Crossover). This report assesses changes in psychosocial outcomes for all groups over 52 weeks. METHODS CGM + FBI (n = 45), Standard-CGM (n = 42) and BGM-Crossover (n = 44) participants completed psychosocial assessments at baseline, 26 weeks and 52 weeks. Repeated measures linear regression models evaluated change within and between treatment groups. RESULTS The BGM-Crossover group reported improved diabetes burden (Δ -6.9, 95% CI [-11.3, -2.6], p = 0.003), fear of hypoglycaemia (Δ -6.4, CI [-10.1, -2.6], p = 0.002) and technology satisfaction (Δ 7.3, CI [2.4, 12.2], p = 0.005) from 26 to 52 weeks, similar to published findings in the CGM + FBI group over the first 26 weeks. The Standard-CGM group reported increased technology satisfaction (Δ 7.3, CI [0.6, 14.0], p = 0.027) from baseline to 52 weeks. The CGM + FBI group reported less diabetes burden and fear of hypoglycaemia from baseline to 52 weeks, but changes were not statistically significant. Scores from 26 to 52 weeks did not deteriorate. CONCLUSIONS Parents demonstrated psychosocial benefits following FBI that appeared to maintain without additional intervention. CGM-focused education with behavioural support likely helps parents of young children with type 1 diabetes reduce burden and worry in the short- and long-term.
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Affiliation(s)
| | - Linda A DiMeglio
- Indiana University School of Medicine, Riley Hospital for Children at IU Health, Indianapolis, Indiana, USA
| | | | - Lori M Laffel
- Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Barbara J Anderson
- Baylor College of Medicine and Texas Children's Hospital, Houston, Texas, USA
| | - Marisa E Hilliard
- Baylor College of Medicine and Texas Children's Hospital, Houston, Texas, USA
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Hauschild M, Monnard C, Eldridge AL, Antoniou MC, Bouthors T, Hansen E, Dwyer AA, Rytz A, Darimont C. Glucose variability in 6-12-month-old healthy infants. Front Nutr 2023; 10:1128389. [PMID: 37502727 PMCID: PMC10369064 DOI: 10.3389/fnut.2023.1128389] [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: 12/20/2022] [Accepted: 06/15/2023] [Indexed: 07/29/2023] Open
Abstract
Background Metabolic programming of glucose homeostasis in the first 1,000 days of life may impact lifelong metabolic and cardiovascular health. Continuous glucose monitoring (CGM) devices may help measure the impact of dietary intake on glucose rhythms and metabolism in infants during the complementary feeding period. Objectives Demonstrate the feasibility of CGM to measure and quantify glucose variability in response to infant feeding and to evaluate associations between macronutrient meal composition and glucose variability. Methods The "FreeStyle Libre Pro®" device interstitial glucose meter was applied to the anterior thigh of 10 healthy 6-12-month-old infants. Parents recorded food intake, time of feeding, and used daily dairies to record sleep time and duration. Descriptive statistics were employed for food intake, sleep and key glycemic parameters over three full days. Mixed linear models were used to assess glycemic changes. Results Mid-day, afternoon, and evening feeds contained >30 g carbohydrate and induced higher 2-h iAUC (3.42, 3.41, and 3.50 mmol/L*h respectively) compared to early and mid-morning feedings with ≤25 g carbohydrates (iAUC 2.72 and 2.81 mmol/L*h, p < 0.05). Early morning and evening milk feedings contained approximately 9 g of fat and induced a longer time to reach maximal glucose value (Tmax; 75 and 68 min, respectively) compared to lower fat feedings (2.9-5.9 g; Tmax range: 34-60 min; p < 0.05). Incremental glucose value at time of food intake (C0) increased significantly from 0.24 ± 0.39 mM in early morning to 1.07 ± 0.57 mM in the evening (p < 0.05). Over the day, 70% of glucose values remained within the normal range (3.5-5.5 mmol/L), 10% were between 5.5-10 mmol/L, and 20% were < 3.5 mmol/L. Conclusion Our data support the feasibility of using CGM to measure glucose in 6-12-month-old infants. The observation of possible diurnal glucose variability and typical glucose values may have implications for future studies investigating metabolic adaptation to nutritional intake in early life.
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Affiliation(s)
- Michael Hauschild
- Pediatric Endocrinology, Diabetes and Obesity Unit, Department Woman-Mother-Child, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Cathriona Monnard
- Nestlé Institute of Health Sciences, Nestlé Research, Lausanne, Switzerland
| | - Alison L. Eldridge
- Nestlé Institute of Health Sciences, Nestlé Research, Lausanne, Switzerland
| | - Maria Christina Antoniou
- Pediatric Endocrinology, Diabetes and Obesity Unit, Department Woman-Mother-Child, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Thérèse Bouthors
- Pediatric Endocrinology, Diabetes and Obesity Unit, Department Woman-Mother-Child, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Erik Hansen
- Pediatric Endocrinology, Diabetes and Obesity Unit, Department Woman-Mother-Child, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Andrew A. Dwyer
- Boston College, William F. Connell School of Nursing, Chestnut Hill, MA, United States
| | - Andreas Rytz
- Clinical Research Unit, Nestlé Research, Lausanne, Switzerland
| | - Christian Darimont
- Nestlé Institute of Health Sciences, Nestlé Research, Lausanne, Switzerland
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Laffel LM, Bailey TS, Christiansen MP, Reid JL, Beck SE. Accuracy of a Seventh-Generation Continuous Glucose Monitoring System in Children and Adolescents With Type 1 Diabetes. J Diabetes Sci Technol 2023; 17:962-967. [PMID: 35466707 PMCID: PMC10347986 DOI: 10.1177/19322968221091816] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Accuracy of a seventh-generation "G7" continuous glucose monitoring (CGM) system was evaluated in children and adolescents with type 1 diabetes (T1D). METHODS Sensors were worn on the upper arm and abdomen. The CGM data were available from 127 of 132 participants, ages 7 to 17 years, across 10.5 days of use, various glucose concentration ranges, and various rates of glucose change for comparisons with temporally matched venous blood glucose measurements (YSI). Data were also available from 28 of 32 participants, ages 2 to 6 years, for whom capillary (fingerstick) blood provided comparator glucose values. Accuracy metrics included the mean absolute relative difference (MARD) between CGM and comparator glucose pairs, the proportion of CGM values within 15 mg/dL or 15% of comparator values <100 or ≥100 mg/dL, respectively, and the analogous %20/20 and %30/30 agreement rates. RESULTS For participants aged 7 to 17, a total of 15 437 matched pairs were obtained from 122 arm-placed and 118 abdomen-placed sensors. For arm-placed sensors, the overall MARD was 8.1% and overall %15/15, %20/20, and %30/30 agreement rates were 88.8%, 95.3%, and 98.7%, respectively. For abdomen-placed sensors, the overall MARD was 9.0% and overall %15/15, %20/20, and %30/30 agreement rates were 86.0%, 92.9%, and 97.7%, respectively. Good accuracy was maintained across wear days, glucose ranges, and rates of glucose change. Among those aged 2 to 6, a total of 343 matched pairs provided an overall MARD of 9.3% and an overall %20/20 agreement rate of 91.5%. CONCLUSIONS The G7 CGM placed on the arm or abdomen was accurate in children and adolescents with T1D. NCT#: NCT04794478.
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Affiliation(s)
- Lori M. Laffel
- Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
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26
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Van Name MA, Kanapka LG, DiMeglio LA, Miller KM, Albanese-O’Neill A, Commissariat P, Corathers SD, Harrington KR, Hilliard ME, Anderson BJ, Kelley JC, Laffel LM, MacLeish SA, Nathan BM, Tamborlane WV, Wadwa RP, Willi SM, Williams KM, Wintergerst KA, Woerner S, Wong JC, DeSalvo DJ. Long-term Continuous Glucose Monitor Use in Very Young Children With Type 1 Diabetes: One-Year Results From the SENCE Study. J Diabetes Sci Technol 2023; 17:976-987. [PMID: 35343269 PMCID: PMC10348002 DOI: 10.1177/19322968221084667] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVES Achieving optimal glycemic outcomes in young children with type 1 diabetes (T1D) is challenging. This study examined the durability of continuous glucose monitoring (CGM) coupled with a family behavioral intervention (FBI) to improve glycemia. STUDY DESIGN This one-year study included an initial 26-week randomized controlled trial of CGM with FBI (CGM+FBI) and CGM alone (Standard-CGM) compared with blood glucose monitoring (BGM), followed by a 26-week extension phase wherein the BGM Group received the CGM+FBI (BGM-Crossover) and both original CGM groups continued this technology. RESULTS Time in range (70-180 mg/dL) did not improve with CGM use (CGM+FBI: baseline 37%, 52 weeks 41%; Standard-CGM: baseline 41%, 52 weeks 44%; BGM-Crossover: 26 weeks 38%, 52 weeks 40%). All three groups sustained decreases in hypoglycemia (<70 mg/dL) with CGM use (CGM+FBI: baseline 3.4%, 52 weeks 2.0%; Standard-CGM: baseline 4.1%, 52 weeks 2.1%; BGM-Crossover: 26 weeks 4.5%, 52 weeks 1.7%, P-values <.001). Hemoglobin A1c was unchanged with CGM use (CGM+FBI: baseline 8.3%, 52 weeks 8.2%; Standard-CGM: baseline 8.2%, 52 weeks 8.0%; BGM-Crossover: 26 weeks 8.1%, 52 weeks 8.3%). Sensor use remained high (52-week study visit: CGM+FBI 91%, Standard-CGM 92%, BGM-Crossover 88%). CONCLUSION Over 12 months young children with T1D using newer CGM technology sustained reductions in hypoglycemia and, in contrast to prior studies, persistently wore CGM. However, pervasive hyperglycemia remained unmitigated. This indicates an urgent need for further advances in diabetes technology, behavioral support, and diabetes management educational approaches to optimize glycemia in young children.
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Affiliation(s)
| | | | - Linda A. DiMeglio
- Riley Hospital for Children, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | | | | | - Sarah D. Corathers
- Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA
| | | | | | | | | | - Lori M. Laffel
- Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
| | | | | | | | - R. Paul Wadwa
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Steven M. Willi
- Children’s Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Kupper A. Wintergerst
- Wendy Novak Diabetes Center, University of Louisville, Norton Children’s Hospital, Louisville, KY, USA
| | - Stephanie Woerner
- Riley Hospital for Children, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Jenise C. Wong
- Madison Clinic for Pediatric Diabetes, University of California San Francisco, San Francisco, CA, USA
| | - Daniel J. DeSalvo
- Texas Children’s Hospital, Baylor College of Medicine, Houston, TX, USA
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27
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Cichoń M, Trzeciak M, Sokołowska-Wojdyło M, Nowicki RJ. Contact Dermatitis to Diabetes Medical Devices. Int J Mol Sci 2023; 24:10697. [PMID: 37445875 DOI: 10.3390/ijms241310697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 06/22/2023] [Accepted: 06/25/2023] [Indexed: 07/15/2023] Open
Abstract
Skin adverse reactions to diabetes medical devices have been reported frequently over recent years. Adhesives attaching glucose sensors and continuous insulin infusion sets to the skin are proven to cause both allergic contact dermatitis and irritant contact dermatitis in patients with diabetes mellitus. Several allergens contained in adhesives and/or parts of medical devices are documented to cause allergic contact dermatitis, with acrylate chemicals being the most common culprit-especially isobornyl acrylate (IBOA), but also 2,2'-methylenebis(6-tert-butyl-4-methylphenol) monoacrylate or cyanoacrylates. Epoxy resin, colophonium and nickel were also identified as causative allergens. However, repetitive occlusion, maceration of the skin and resulting disruption of the skin barrier seem to have an impact on the development of skin lesions as well. The purpose of this study is to highlight the burden of contact dermatitis triggered by diabetes medical devices and to show possible mechanisms responsible for the development of contact dermatitis in a group of diabetic patients.
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Affiliation(s)
- Mikołaj Cichoń
- Department of Dermatology, Venereology and Allergology, Medical University of Gdansk, 80-214 Gdansk, Poland
| | - Magdalena Trzeciak
- Department of Dermatology, Venereology and Allergology, Medical University of Gdansk, 80-214 Gdansk, Poland
| | | | - Roman J Nowicki
- Department of Dermatology, Venereology and Allergology, Medical University of Gdansk, 80-214 Gdansk, Poland
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28
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Kovatchev BP, Lobo B. Clinically-Similar Clusters of Daily CGM Profiles: Tracking the Progression of Glycemic Control Over Time. Diabetes Technol Ther 2023. [PMID: 37130300 DOI: 10.1089/dia.2023.0117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
BACKGROUND The adoption of CGM results in vast amounts of data, but their interpretation is still more art than exact science. The International Consensus on Time in Range (TIR) proposed the widely accepted TIR system of metrics, which we now take forward by introducing a finite and fixed set of clinically-similar clusters (CSCs), such that the TIR metrics of the daily CGM profiles within a cluster are homogeneous. METHODS CSC definition and validation used 204,710 daily CGM profiles in health, type 1 and type 2 diabetes (T1D, T2D), on different treatments. The CSCs were defined using 23,916 daily CGM profiles (Training set), and the final fixed set of CSCs was obtained using another 37,758 profiles (Validation set). The Testing set (143,036 profiles) was used to establish the robustness and generalizability of the CSCs. RESULTS The final set of CSCs contains 32 clusters. Any daily CGM profile was classifiable to a single CSC which approximated common glycemic metrics of the daily CGM profile, as evidenced by regression analyses with 0 intercept (R-squares≥0.83, e.g., correlation≥0.91), for all TIR and several other metrics. The CSCs distinguished CGM profiles in health, T2D, and T1D on different treatments, and allowed tracking of the daily changes in a person's glycemic control over time. CONCLUSION Daily CGM profiles can be classified into one of 32 prefixed CSCs, which enables a host of applications, e.g. tabulated data interpretation and algorithmic approaches to treatment, database indexing, pattern recognition, and tracking disease progression.
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Affiliation(s)
- Boris P Kovatchev
- University of Virginia, 2358, Center for Diabetes Technology, Charlottesville, Virginia, United States;
| | - Benjamin Lobo
- University of Virginia, 2358, School of Data Science, Charlottesville, Virginia, United States;
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29
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Affiliation(s)
- Klemen Dovc
- University Medical Center University Children's Hospital 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 University Children's Hospital Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
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30
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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, Young-Hyman D, Gabbay RA, on behalf of the American Diabetes Association. 5. Facilitating Positive Health Behaviors and Well-being to Improve Health Outcomes: Standards of Care in Diabetes-2023. Diabetes Care 2023; 46:S68-S96. [PMID: 36507648 PMCID: PMC9810478 DOI: 10.2337/dc23-s005] [Citation(s) in RCA: 199] [Impact Index Per Article: 99.5] [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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31
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ElSayed NA, Aleppo G, Aroda VR, Bannuru RR, Brown FM, Bruemmer D, Collins BS, Hilliard ME, Isaacs D, Johnson EL, Kahan S, Khunti K, Leon J, Lyons SK, Perry ML, Prahalad P, Pratley RE, Seley JJ, Stanton RC, Gabbay RA, on behalf of the American Diabetes Association. 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: 181] [Impact Index Per Article: 90.5] [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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32
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ElSayed NA, Aleppo G, Aroda VR, Bannuru RR, Brown FM, Bruemmer D, Collins BS, Hilliard ME, Isaacs D, Johnson EL, Kahan S, Khunti K, Leon J, Lyons SK, Perry ML, Prahalad P, Pratley RE, Seley JJ, Stanton RC, Gabbay RA, on behalf of the American Diabetes Association. 14. Children and Adolescents: Standards of Care in Diabetes-2023. Diabetes Care 2023; 46:S230-S253. [PMID: 36507640 PMCID: PMC9810473 DOI: 10.2337/dc23-s014] [Citation(s) in RCA: 109] [Impact Index Per Article: 54.5] [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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33
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Sundberg F, deBeaufort C, Krogvold L, Patton S, Piloya T, Smart C, Van Name M, Weissberg-Benchell J, Silva J, diMeglio LA. ISPAD Clinical Practice Consensus Guidelines 2022: Managing diabetes in preschoolers. Pediatr Diabetes 2022; 23:1496-1511. [PMID: 36537520 PMCID: PMC10108244 DOI: 10.1111/pedi.13427] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 09/30/2022] [Indexed: 12/24/2022] Open
Affiliation(s)
- Frida Sundberg
- The Queen Silvia Childrens Hospital, Sahlgrenska University Hospital, Gothenburg, Sweden.,Department of Pediatrics, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden
| | - Carine deBeaufort
- Clinique Pédiatrique, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg.,Department of Pediatric Endocrinology, Universitair Ziekenhuis Brussel-Vrije Universiteit Brussel, Brussels, Belgium
| | - Lars Krogvold
- Paediatric Department, Oslo University Hospital, Oslo, Norway
| | - Susana Patton
- Center for Healthcare Delivery Science, Nemours Children's Health, Jacksonville, Florida, USA
| | - Thereza Piloya
- Department of Paediatrics & Child Health, School of Medicine, College of Health Sciences Makerere University, Kampala, Uganda
| | - Carmel Smart
- Department of Paediatric Endocrinology and Diabetes, John Hunter Children's Hospital and School of Health Sciences, University of Newcastle, Newcastle, New South Wales, Australia
| | | | - Jill Weissberg-Benchell
- Department of Psychiatry and Behavioral Sciences, Ann & Robert H. Lurie Children's Hospital of Chicago, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Jose Silva
- SummitStone Health Partners, Fort Collins, Colorado, USA
| | - Linda A diMeglio
- Riley Hospital for Children, Indiana University School of Medicine, Indianapolis, Indiana, USA
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34
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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: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 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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35
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DeSalvo DJ, Lanzinger S, Noor N, Steigleder-Schweiger C, Ebekozien O, Sengbusch SV, Yayah Jones NH, Laubner K, Maahs DM, Holl RW. Transatlantic Comparison of Pediatric Continuous Glucose Monitoring Use in the Diabetes-Patienten-Verlaufsdokumentation Initiative and Type 1 Diabetes Exchange Quality Improvement Collaborative. Diabetes Technol Ther 2022; 24:920-924. [PMID: 35947079 DOI: 10.1089/dia.2022.0248] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Achieving glycemic targets in youth and young adults with type 1 diabetes (T1D) is challenging. Diabetes devices, including continuous glucose monitors (CGM) may impact glycemic control. We analyzed the proportion of CGM use in youth and young adults with T1D at nine U.S. T1D Exchange Quality Improvement (T1DX-QI) Collaborative centers and 402 European diabetes prospective follow-up registry (Diabetes-Patienten-Verlaufsdokumentation [DPV]) sites from 2017 to 2020 and examined the association of CGM use to glycemic control as measured by hemoglobin A1c (HbA1c). CGM use increased each year from 2017 to 2020 across all age ranges (<6, 6-<12, 12-<18, 18-<25 years) in both registries and lower mean HbA1c was observed in CGM users compared with nonusers regardless of insulin delivery method for all years analyzed. CGM use appeared to increase more so in the European DPV than the U.S. T1DX-QI, which may be due to transatlantic differences in health care systems, insurance coverage, and prescriber habits.
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Affiliation(s)
- Daniel J DeSalvo
- Division of Pediatric Diabetes & Endocrinology. Baylor College of Medicine, Texas Children's Hospital, Houston, Texas, USA
| | - Stefanie Lanzinger
- Department of Epidemiology and Biometry ZIBMT, Ulm University, Ulm, Germany
| | - Nudrat Noor
- T1D Exchange, Boston, Massachusetts, USA
- Aga Khan University, Department of Emergency Medicine, Sindh, Pakistan
| | | | - Osagie Ebekozien
- T1D Exchange, Boston, Massachusetts, USA
- University of Mississippi Medical Center, Jackson, Mississippi
| | - Simone von Sengbusch
- Department of Paediatrics and Adolescent Medicine, University Hospital Schleswig-Holstein, Campus Lübeck, Germany
| | - Nana-Hawa Yayah Jones
- UC Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Katharina Laubner
- Division of Endocrinology and Diabetology, Department of Medicine II, Medical Center - University of Freiburg, Faculty of Medicine, Freiburg im Breisgau, Germany
| | - David M Maahs
- Division of Endocrinology, Department of Pediatrics, Stanford University, Stanford, California, USA
| | - Reinhard W Holl
- Department of Epidemiology and Biometry ZIBMT, Ulm University, Ulm, Germany
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36
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Tanenbaum ML, Zaharieva DP, Addala A, Prahalad P, Hooper JA, Leverenz B, Cortes AL, Arrizon-Ruiz N, Pang E, Bishop F, Maahs DM. 'Much more convenient, just as effective': Experiences of starting continuous glucose monitoring remotely following Type 1 diabetes diagnosis. Diabet Med 2022; 39:e14923. [PMID: 35899591 PMCID: PMC9579993 DOI: 10.1111/dme.14923] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 07/20/2022] [Indexed: 11/29/2022]
Abstract
AIM Initiating continuous glucose monitoring (CGM) shortly after Type 1 diabetes diagnosis has glycaemic and quality of life benefits for youth with Type 1 diabetes and their families. The SARS-CoV-2 pandemic led to a rapid shift to virtual delivery of CGM initiation visits. We aimed to understand parents' experiences receiving virtual care to initiate CGM within 30 days of diagnosis. METHODS We held focus groups and interviews using a semi-structured interview guide with parents of youth who initiated CGM over telehealth within 30 days of diagnosis during the SARS-CoV-2 pandemic. Questions aimed to explore experiences of starting CGM virtually. Groups and interviews were audio-recorded, transcribed and analysed using thematic analysis. RESULTS Participants were 16 English-speaking parents (age 43 ± 6 years; 63% female) of 15 youth (age 9 ± 4 years; 47% female; 47% non-Hispanic White, 20% Hispanic, 13% Asian, 7% Black, 13% other). They described multiple benefits of the virtual visit including convenient access to high-quality care; integrating Type 1 diabetes care into daily life; and being in the comfort of home. A minority experienced challenges with virtual care delivery; most preferred the virtual format. Participants expressed that clinics should offer a choice of virtual or in-person to families initiating CGM in the future. CONCLUSION Most parents appreciated receiving CGM initiation education via telehealth and felt it should be an option offered to all families. Further efforts can continue to enhance CGM initiation teaching virtually to address identified barriers.
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Affiliation(s)
- Molly L. Tanenbaum
- Division of Endocrinology, Gerontology, and Metabolism, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
- Stanford Diabetes Research Center, Stanford, California, USA
| | - Dessi P. Zaharieva
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Ananta Addala
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Priya Prahalad
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Julie A. Hooper
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Brianna Leverenz
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Ana L. Cortes
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Nora Arrizon-Ruiz
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Erica Pang
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Franziska Bishop
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - David M. Maahs
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
- Stanford Diabetes Research Center, Stanford, California, USA
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Ware J, Hovorka R. Closed-loop insulin delivery: update on the state of the field and emerging technologies. Expert Rev Med Devices 2022; 19:859-875. [PMID: 36331211 PMCID: PMC9780196 DOI: 10.1080/17434440.2022.2142556] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 10/28/2022] [Indexed: 11/06/2022]
Abstract
INTRODUCTION Over the last five years, closed-loop insulin delivery systems have transitioned from research-only to real-life use. A number of systems have been commercialized and are increasingly used in clinical practice. Given the rapidity of new developments in the field, understanding the capabilities and key similarities and differences of current systems can be challenging. This review aims to provide an update on the state of the field of closed-loop insulin delivery systems, including emerging technologies. AREAS COVERED We summarize key clinical safety and efficacy evidence of commercial and emerging insulin-only hybrid closed-loop systems for type 1 diabetes. A literature search was conducted and clinical trials using closed-loop systems during free-living conditions were identified to report on safety and efficacy data. We comment on emerging technologies and adjuncts for closed-loop systems, as well as non-technological priorities in closed-loop insulin delivery. EXPERT OPINION Commercial hybrid closed-loop insulin delivery systems are efficacious, consistently improving glycemic control when compared to standard therapy. Challenges remain in widespread adoption due to clinical inertia and the lack of resources to embrace technological developments by health care professionals.
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Affiliation(s)
- Julia Ware
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
- Department of Pediatrics, University of Cambridge, Cambridge, United Kingdom
| | - Roman Hovorka
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
- Department of Pediatrics, University of Cambridge, Cambridge, United Kingdom
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Hilliard ME, Commissariat PV, Kanapka L, Laffel LM, Levy W, Harrington K, Anderson BJ, Miller KM, DiMeglio LA. Development and delivery of a brief family behavioral intervention to support continuous glucose monitor use in young children with type 1 diabetes. Pediatr Diabetes 2022; 23:792-798. [PMID: 35446449 PMCID: PMC9542880 DOI: 10.1111/pedi.13349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 02/23/2022] [Accepted: 04/19/2022] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Despite potential glycemic benefits of continuous glucose monitor (CGM) use in young children with type 1 diabetes, psychosocial and behavioral challenges may interfere with sustained use. We developed a 5-session family behavioral intervention (FBI) to support CGM use. OBJECTIVE We report on the multi-step development of the FBI, training interventionists, implementation in a 14-site clinical trial, and participant satisfaction. METHODS A multidisciplinary team created the FBI based on mixed-methods (i.e., survey data, qualitative research) preliminary work with parents of young children. Investigators trained non-physician staff to deliver the 5 sessions per an intervention manual. Trial participants received the FBI either during the first (FBI group, n = 50) or second 6-months (Crossover group, n = 44) of the 1-year trial. Investigators listened to session recordings to rate intervention fidelity, and participants rated satisfaction with the FBI. RESULTS The complete 5-session FBI was delivered to 89% of participants, in-person (73%) or by telephone (23%). Sessions lasted 23 min on average, and fidelity was high across sessions. Over 80% of participants rated very high satisfaction with all aspects of the FBI and offered few recommendations for improvement. CONCLUSIONS Having been developed based on experiences and input of families of young children with type 1 diabetes, the FBI represented a novel behavioral approach to enhance sustained CGM use during a challenging developmental period. Evidence of strong feasibility and acceptability supports its potential for implementation in research and clinical care. As diabetes technologies evolve, the FBI may continue to be refined to address parents' most relevant concerns.
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Affiliation(s)
| | | | | | - Lori M. Laffel
- Joslin Diabetes CenterHarvard Medical SchoolBostonMassachusettsUSA
| | - Wendy Levy
- Baylor College of Medicine and Texas Children's HospitalHoustonTexasUSA
| | - Kara Harrington
- Joslin Diabetes CenterHarvard Medical SchoolBostonMassachusettsUSA
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Elbalshy M, Haszard J, Smith H, Kuroko S, Galland B, Oliver N, Shah V, de Bock MI, Wheeler BJ. Effect of divergent continuous glucose monitoring technologies on glycaemic control in type 1 diabetes mellitus: A systematic review and meta-analysis of randomised controlled trials. Diabet Med 2022; 39:e14854. [PMID: 35441743 PMCID: PMC9542260 DOI: 10.1111/dme.14854] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 03/16/2022] [Accepted: 04/12/2022] [Indexed: 12/17/2022]
Abstract
AIMS We aimed to conduct a systematic review and meta-analysis of randomised controlled clinical trials (RCTs) assessing separately and together the effect of the three distinct categories of continuous glucose monitoring (CGM) systems (adjunctive, non-adjunctive and intermittently-scanned CGM [isCGM]), compared with traditional capillary glucose monitoring, on HbA1c and CGM metrics. METHODS PubMed, Web of Science, Scopus and Cochrane Central register of clinical trials were searched. Inclusion criteria were as follows: randomised controlled trials; participants with type 1 diabetes of any age and insulin regimen; investigating CGM and isCGM compared with traditional capillary glucose monitoring; and reporting glycaemic outcomes of HbA1c and/or time-in-range (TIR). Glycaemic outcomes were extracted post-intervention and expressed as mean differences and 95%CIs between treatment and comparator groups. Results were pooled using a random-effects meta-analysis. Risk of bias was assessed using the Cochrane Rob2 tool. RESULTS This systematic review was conducted between January and April 2021; it included 22 RCTs (15 adjunctive, 5 non-adjunctive, and 2 isCGM)). The overall analysis of the pooled three categories showed a statistically significant absolute improvement in HbA1c percentage points (mean difference (95% CI): -0.22% [-0.31 to -0.14], I2 = 79%) for intervention compared with comparator and was strongest for adjunctive CGM (-0.26% [-0.36, -0.16]). Overall TIR (absolute change) increased by 5.4% (3.5 to 7.2), I2 = 71% for CGM intervention compared with comparator and was strongest with non-adjunctive CGM (6.0% [2.3, 9.7]). CONCLUSIONS For individuals with T1D, use of CGM was beneficial for impacting glycaemic outcomes including HbA1c, TIR and time-below-range (TBR). Glycaemic improvement appeared greater for TIR for newer non-adjunctive CGM technology.
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Affiliation(s)
- Mona Elbalshy
- Department of Women’s and Children’s HealthDunedin School of MedicineUniversity of OtagoDunedinNew Zealand
| | - Jillian Haszard
- Division of SciencesUniversity of Otago, New ZealandDunedinNew Zealand
| | - Hazel Smith
- Department of Women’s and Children’s HealthDunedin School of MedicineUniversity of OtagoDunedinNew Zealand
| | - Sarahmarie Kuroko
- Department of Women’s and Children’s HealthDunedin School of MedicineUniversity of OtagoDunedinNew Zealand
| | - Barbara Galland
- Department of Women’s and Children’s HealthDunedin School of MedicineUniversity of OtagoDunedinNew Zealand
| | - Nick Oliver
- Department of Metabolism, Digestion and ReproductionFaculty of MedicineImperial CollegeLondonUK
| | - Viral Shah
- Barbara Davis Center for DiabetesUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | | | - Benjamin J. Wheeler
- Department of Women’s and Children’s HealthDunedin School of MedicineUniversity of OtagoDunedinNew Zealand
- Paediatric EndocrinologySouthern District Health BoardDunedinNew Zealand
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Tanenbaum ML, Commissariat PV. Barriers and Facilitators to Diabetes Device Adoption for People with Type 1 Diabetes. Curr Diab Rep 2022; 22:291-299. [PMID: 35522355 PMCID: PMC9189072 DOI: 10.1007/s11892-022-01469-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/14/2022] [Indexed: 11/29/2022]
Abstract
PURPOSE OF REVIEW Diabetes technology (insulin pumps, continuous glucose monitoring, automated insulin delivery systems) has advanced significantly and provides benefits to the user. This article reviews the current barriers to diabetes device adoption and sustained use, and outlines the known and potential facilitators for increasing and sustaining device adoption. RECENT FINDINGS Barriers to diabetes device adoption continue to exist at the system-, provider-, and individual-level. Known facilitators to promote sustained adoption include consistent insurance coverage, support for providers and clinics, structured education and support for technology users, and device user access to support as needed (e.g., through online resources). Systemic barriers to diabetes device adoption persist while growing evidence demonstrates the increasing benefits of newest devices and systems. There are ongoing efforts to develop evidence-based structured education programs to support device adoption and sustained use.
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Affiliation(s)
- Molly L Tanenbaum
- Department of Pediatrics, Division of Endocrinology and Diabetes, Stanford University School of Medicine, Stanford, CA, USA.
| | - Persis V Commissariat
- Pediatric, Adolescent and Young Adult Section, Joslin Diabetes Center, Boston, MA, USA
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von dem Berge T, Remus K, Biester S, Reschke F, Klusmeier B, Adolph K, Holtdirk A, Thomas A, Kordonouri O, Danne T, Biester T. In-home use of a hybrid closed loop achieves time-in-range targets in preschoolers and school children: Results from a randomized, controlled, crossover trial. Diabetes Obes Metab 2022; 24:1319-1327. [PMID: 35373894 DOI: 10.1111/dom.14706] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 03/10/2022] [Accepted: 03/30/2022] [Indexed: 12/15/2022]
Abstract
AIM To obtain additional information on the incremental differences between using a sensor-augmented pump (SAP) without automated insulin delivery (AID), using it with predictive low-glucose management (PLGM) or as hybrid closed loop (HCL), in preschool and school children. METHODS We conducted a monocentric, randomized, controlled, two-phase crossover study in 38 children aged 2-6 and 7-14 years. The primary endpoint was the percentage of time in range (TIR) of 70-180 mg/dl. Other continuous glucose sensor metrics, HbA1c, patient-related outcomes (DISABKIDS questionnaire, Fear of Hypoglycaemia Survey) and safety events were also assessed. Results from 2 weeks of SAP, 8 weeks of PLGM and 8 weeks of HCL were compared using a paired t-test or Wilcoxon signed-rank test. RESULTS Overall, we found a high rate of TIR target (>70%) achievement with HCL in preschool (88%) and school children (50%), with average times in Auto Mode of 93% and 87%, respectively. Preschool children achieved a mean TIR of 73% ± 6% (+8% vs. SAP, +6% vs. PLGM) and school children 69% ± 8% (+15% vs. SAP and + 14% vs. PLGM). Overall, HbA1c improved from 7.4% ± 0.9% to 6.9% ± 0.5% (P = .0002). Diabetes burden and worries and fear of hypoglycaemia remained at low levels, without significant changes versus PLGM. No events of severe hypoglycaemia or diabetic ketoacidosis occurred. CONCLUSIONS Preschool children profit from AID at least as much as those aged 7 years and older. To ensure safe use and prescribing modalities, regulatory approval is also required for young children.
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Affiliation(s)
| | - Kerstin Remus
- Kinder- und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
| | - Sarah Biester
- Kinder- und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
| | - Felix Reschke
- Kinder- und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
| | | | - Kerstin Adolph
- Kinder- und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
| | | | | | - Olga Kordonouri
- Kinder- und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
| | - Thomas Danne
- Kinder- und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
| | - Torben Biester
- Kinder- und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
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Elbalshy MM, Styles S, Haszard JJ, Galland BC, Crocket H, Jefferies C, Wiltshire E, Tomlinson P, de Bock MI, Wheeler BJ. The effect of do-it-yourself real-time continuous glucose monitoring on psychological and glycemic variables in children with type 1 diabetes: A randomized crossover trial. Pediatr Diabetes 2022; 23:480-488. [PMID: 35253331 PMCID: PMC9314709 DOI: 10.1111/pedi.13331] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 02/23/2022] [Accepted: 03/03/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Continuous glucose monitoring (CGM) decreases fear of hypoglycemia (FOH) and improves glycemic control among those affected by type 1 diabetes (T1D). No studies to date have examined the impact of using do-it-yourself real-time continuous glucose monitoring (DIY RT-CGM) on psychological and glycemic outcomes. METHODS Child-parent dyads were recruited for a multicentre randomized crossover trial. Children with T1D were current intermittently scanned CGM (isCGM) users and aged 2-13 years. Families received either 6 weeks of DIY RT-CGM with parental remote monitoring (intervention) or 6 weeks of isCGM plus usual diabetes care (control), followed by a 4-week washout period, then crossed over. The primary outcome was parental FOH. Secondary outcomes were glycemic control using traditional CGM metrics, as well as a range of other psychosocial measures. FINDINGS Fifty five child-parent dyads were recruited. The child mean age was 9.1 ± 2.8 years. Although, there was no effect on parental FOH, -0.1 (95%CI: -0.3, 0.1, p = 0.4), time-in-range (TIR) (%3.9-10 mmol/L) was significantly higher with DIY RT-CGM over isCGM (54.3% ± 13.7 vs. 48.1% ± 13.6), mean difference, 5.7% (95%CI 1.8, 9.6, p <0.004). There was no difference for time spent in hypoglycemia. Parent diabetes treatment satisfaction was significantly higher following DIY RT-CGM compared to isCGM, mean difference 5.3 (95%CI: 2.3, 8.2, p <0.001). CONCLUSION The use of DIY RT-CGM versus isCGM did not improve parental FOH; however, TIR and parental satisfaction with diabetes treatment were significantly improved. This suggests in the short term, DIY RT-CGM appears safe and may offer families some clinically important advantages over isCGM.
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Affiliation(s)
- Mona M. Elbalshy
- Department of Women's and Children's Health, Dunedin School of MedicineUniversity of OtagoDunedinOtagoNew Zealand
| | - Sara Styles
- Department of Human NutritionUniversity of OtagoDunedinNew Zealand
| | | | - Barbara C. Galland
- Department of Women's and Children's Health, Dunedin School of MedicineUniversity of OtagoDunedinOtagoNew Zealand
| | - Hamish Crocket
- Te Huataki Waiora School of HealthUniversity of WaikatoHamiltonNew Zealand
| | - Craig Jefferies
- Paediatric EndocrinologyStarship Children's HealthAucklandNew Zealand,Liggins InstituteUniversity of AucklandAucklandNew Zealand
| | - Esko Wiltshire
- Department of Paediatrics and Child HealthUniversity of Otago WellingtonWellingtonNew Zealand,Paediatrics and Child HealthCapital and Coast District Health BoardWellingtonNew Zealand
| | - Paul Tomlinson
- Paediatric EndocrinologySouthern District Health BoardDunedinNew Zealand
| | - Martin I. de Bock
- Department of PaediatricsUniversity of Otago ChristchurchChristchurchNew Zealand,Department of PaediatricsCanterbury District Health BoardChristchurchNew Zealand
| | - Benjamin J. Wheeler
- Department of Women's and Children's Health, Dunedin School of MedicineUniversity of OtagoDunedinOtagoNew Zealand,Paediatric EndocrinologySouthern District Health BoardDunedinNew Zealand
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Monaghan M, Bryant BL, Inverso H, Moore HR, Streisand R. Young Children with Type 1 Diabetes: Recent Advances in Behavioral Research. Curr Diab Rep 2022; 22:247-256. [PMID: 35435615 PMCID: PMC9013975 DOI: 10.1007/s11892-022-01465-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/14/2022] [Indexed: 12/16/2022]
Abstract
PURPOSE OF REVIEW This review provides a recent update of behavioral research pertinent to young children with T1D and addresses current priorities and future directions. RECENT FINDINGS Rates of type 1 diabetes (T1D) in young children (ages 1-7) are continuing to rise. Since 2014, changes to diabetes care and management have impacted young children and reinforced the need for increased attention and interventions to support diabetes management, especially in caregivers who are primarily responsible for their young child's diabetes management. T1D is associated with unique physiologic challenges in young children, with constant management demands elevating parental diabetes-related stress and fear of hypoglycemia. Diabetes technology use has significantly increased in young children, contributing to improvements in glycemic levels and parent and child psychosocial functioning. Yet despite the positive outcomes demonstrated in select clinical behavioral interventions, research with this young child age group remains limited in scope and quantity.
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Affiliation(s)
- Maureen Monaghan
- grid.239560.b0000 0004 0482 1586Children’s National Hospital, 111 Michigan Ave NW, Washington, DC 20010 USA
- grid.253615.60000 0004 1936 9510George Washington University School of Medicine, Washington, DC USA
| | - Breana L. Bryant
- grid.239560.b0000 0004 0482 1586Children’s National Hospital, 111 Michigan Ave NW, Washington, DC 20010 USA
| | - Hailey Inverso
- grid.239560.b0000 0004 0482 1586Children’s National Hospital, 111 Michigan Ave NW, Washington, DC 20010 USA
| | - Hailey R. Moore
- grid.239560.b0000 0004 0482 1586Children’s National Hospital, 111 Michigan Ave NW, Washington, DC 20010 USA
| | - Randi Streisand
- grid.239560.b0000 0004 0482 1586Children’s National Hospital, 111 Michigan Ave NW, Washington, DC 20010 USA
- grid.253615.60000 0004 1936 9510George Washington University School of Medicine, Washington, DC USA
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Abstract
Combining technologies including rapid insulin analogs, insulin pumps, continuous glucose monitors, and control algorithms has allowed for the creation of automated insulin delivery (AID) systems. These systems have proven to be the most effective technology for optimizing metabolic control and could hold the key to broadly achieving goal-level glycemic control for people with type 1 diabetes. The use of AID has exploded in the past several years with several options available in the United States and even more in Europe. In this article, we review the largest studies involving these AID systems, and then examine future directions for AID with an emphasis on usability.
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Affiliation(s)
- Gregory P. Forlenza
- School of Medicine, Barbara Davis Center, University of Colorado Anschutz Campus, Aurora, Colorado, USA
| | - Rayhan A. Lal
- Department of Medicine & Pediatrics, Divisions of Endocrinology Stanford Diabetes Research Center, Stanford University, Stanford, California, USA
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45
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Lobo BJ, Kovatchev BP. External validation of a classifier of daily continuous glucose monitoring (CGM) profiles. Comput Biol Med 2022; 143:105293. [PMID: 35182951 DOI: 10.1016/j.compbiomed.2022.105293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 01/11/2022] [Accepted: 01/20/2022] [Indexed: 11/03/2022]
Abstract
As continuous glucose monitoring (CGM) sensors generate ever increasing amounts of CGM data, the need for methods to simplify the storage and analysis of this data becomes increasingly important. Lobo et al. developed a classifier of daily CGM profiles as an initial step in addressing this need. The classifier has several important applications including, but not limited to, data compression, data encryption, and indexing of databases. While the classifier has already successfully classified 99.0% of the 42,595 daily CGM profiles in a Test Set, this work presents an external validation using an external validation set (EVal Set) derived from 8 publicly available data sets. The Test Set and the EVal Set differ in terms of (but not limited to) demographics, data collection time periods, and data collection geographies. The classifier successfully classified 98.2% of the 137,030 daily CGM profiles in the EVal Set. Furthermore, each of the 483 distinct groups of classified daily CGM profiles from the EVal Set retains the same clinical characteristics as the corresponding group from the Test Set, as desired. Finally, the set of unclassified daily CGM profiles from the EVal Set retains the same statistical characteristics as the set of unclassified daily CGM profiles from the Test Set, as desired. These results establish the robustness and generalizability of the classifier: the performance of the classifier is unchanged despite the marked differences between the Test Set and the EVal Set.
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Affiliation(s)
- Benjamin J Lobo
- School of Data Science, University of Virginia, Charlottesville, VA, 22904, United States.
| | - Boris P Kovatchev
- Center for Diabetes Technology, School of Medicine, University of Virginia, Charlottesville, VA, 22903, United States
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Aggarwal A, Pathak S, Goyal R. Clinical and economic outcomes of continuous glucose monitoring system (CGMS) in patients with diabetes mellitus: A systematic literature review. Diabetes Res Clin Pract 2022; 186:109825. [PMID: 35278520 DOI: 10.1016/j.diabres.2022.109825] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 02/15/2022] [Accepted: 03/04/2022] [Indexed: 12/27/2022]
Abstract
OBJECTIVE Poor glycemic management increases the risk of cardiac, microvascular, and other complications. Therefore, timely assessment and control of glycemic levels is paramount in diabetes. Recent advancements in automated management methods is the use of a continuous glucose monitoring system (CGMS). The objective was to study its clinical and economic impact in the glucose level monitoring and how it can be effectively used or reimbursed for wider population. METHODS Comprehensive search was done using multiple databases to capture relevant and most recent evidence. All steps were conducted by two independent researchers and discrepancies resolved by a third reviewer. Quality appraisal was performed by relevant scale depending on study design. RESULTS Twenty-six and 12 studies were included for clinical and economic outcomes, respectively. Clinical outcomes like HbA1c and glucose variation, time in range, accuracy, etc. were captured. Comparison of different CGMS types was also reported. Major economic outcomes were direct cost, healthcare resource utilization, and work absenteeism. CONCLUSIONS CGMS in patients with diabetes is associated with a valuable clinical implications in reducing hypoglycemic events, glucose and HbA1c level. Additionally, it has an impact on direct and indirect costs of management. Further, quantitative analysis would be required to produce concrete evidence.
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Affiliation(s)
- Aditi Aggarwal
- Real-World Insights, Global Scientific Affairs, IQVIA, Novus Tower, Sec-18, Gurgaon, Haryana, India.
| | - Smit Pathak
- Real-World Insights, Global Scientific Affairs, IQVIA, Novus Tower, Sec-18, Gurgaon, Haryana, India
| | - Richa Goyal
- Real-World Insights, Global Scientific Affairs, IQVIA, Novus Tower, Sec-18, Gurgaon, Haryana, India
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Affiliation(s)
- Mark A Sperling
- From the Department of Pediatrics, Division of Endocrinology and Diabetes, Icahn School of Medicine at Mount Sinai, New York (M.A.S.); and the Pediatric, Adolescent, and Young Adult Section, Joslin Diabetes Center, and Harvard Medical School - both in Boston (L.M.L.)
| | - Lori M Laffel
- From the Department of Pediatrics, Division of Endocrinology and Diabetes, Icahn School of Medicine at Mount Sinai, New York (M.A.S.); and the Pediatric, Adolescent, and Young Adult Section, Joslin Diabetes Center, and Harvard Medical School - both in Boston (L.M.L.)
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Dovc K, Van Name M, Jenko Bizjan B, Rusak E, Piona C, Yesiltepe‐Mutlu G, Mentink R, Frontino G, Macedoni M, Ferreira SH, Serra‐Caetano J, Galhardo J, Pelicand J, Silvestri F, Sherr J, Chobot A, Biester T, for the ISPAD JENIOUS Group. Continuous glucose monitoring use and glucose variability in very young children with type 1 diabetes (VibRate): A multinational prospective observational real-world cohort study. Diabetes Obes Metab 2022; 24:564-569. [PMID: 34820985 PMCID: PMC9306649 DOI: 10.1111/dom.14607] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 11/05/2021] [Accepted: 11/20/2021] [Indexed: 12/14/2022]
Affiliation(s)
- Klemen Dovc
- Department of Pediatric Endocrinology, Diabetes and Metabolic DiseasesUMC ‐ University Children's HospitalLjubljanaSlovenia
- Faculty of MedicineUniversity of LjubljanaLjubljanaSlovenia
| | - Michelle Van Name
- Department of Pediatrics, Section of EndocrinologyYale School of MedicineNew HavenConnecticut
| | - Barbara Jenko Bizjan
- Department of Pediatric Endocrinology, Diabetes and Metabolic DiseasesUMC ‐ University Children's HospitalLjubljanaSlovenia
- Faculty of MedicineUniversity of LjubljanaLjubljanaSlovenia
| | - Ewa Rusak
- Department of Children's DiabetologyMedical University of SilesiaKatowicePoland
| | - Claudia Piona
- Pediatric Diabetes and Metabolic Disorders Unit, Regional Center for Pediatric DiabetesUniversity City Hospital of VeronaVeronaItaly
| | - Gul Yesiltepe‐Mutlu
- Department of Pediatric Endocrinology and DiabetesKoç University HospitalIstanbulTurkey
- School of MedicineKoç UniversityIstanbulTurkey
| | - Rosaline Mentink
- Diaboss (Pediatric and Adolescent Diabetes Clinic)AmsterdamThe Netherlands
- Department of PediatricsOLVGAmsterdamThe Netherlands
| | - Giulio Frontino
- Diabetes Research Institute, IRCCS San Raffaele HospitalMilanItaly
| | - Maddalena Macedoni
- Department of PediatricsUniversity of Milan, V. Buzzi Children's HospitalMilanItaly
| | - Sofia Helena Ferreira
- Pediatric Endocrinology and Diabetology Unit, Department of PediatricsCentro Hospitalar Universitário de São JoãoPortoPortugal
| | - Joana Serra‐Caetano
- Pediatric Endocrinology, Growth and Diabetology Unit, Coimbra Pediatric HospitalCoimbra Universitary and Hospital Centre (CHUC)CoimbraPortugal
| | - Júlia Galhardo
- Paediatric Endocrinology and Diabetes Unit, Hospital de Dona Estefânia ‐ Central Lisbon University Hospital Center and Lisbon Medical Sciences Faculty – Nova Medical SchoolLisbonPortugal
| | - Julie Pelicand
- Pediatric and Adolescent Diabetes Program, Department of PediatricsSan Camilo HospitalSan FelipeChile
- Medicine SchoolUniversidad de ValparaisoSan FelipeChile
| | - Francesca Silvestri
- Pediatric Diabetology Unit, Department of Maternal and Infantile HealthSapienza University of RomeRomeItaly
| | - Jennifer Sherr
- Department of Pediatrics, Section of EndocrinologyYale School of MedicineNew HavenConnecticut
| | - Agata Chobot
- Department of PediatricsInstitute of Medical Sciences, University of OpoleOpolePoland
- Department of PediatricsUniversity Clinical Hospital in OpoleOpolePoland
| | - Torben Biester
- AUF DER BULT, Diabetes Center for Children and AdolescentsHannoverGermany
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von dem Berge T, Remus K, Biester S, Reschke F, Datz N, Danne T, Kordonouri O, Biester T. Erste Anwendungserfahrung eines neuen, Glukosesensor-unterstützten Pumpensystems mit vorausschauender Insulin-Abschaltung zum Hypoglykämieschutz bei pädiatrischen Patienten in Deutschland. DIABETOL STOFFWECHS 2022. [DOI: 10.1055/a-1720-8882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Zusammenfassung
Einleitung Die prädiktive Insulinabschaltung ist als System zur Prävention von Hypoglykämien in Deutschland etabliert (Smartguard). Seit 2020 ist in Deutschland ein zweites System verfügbar (Basal-IQ). Unterschiede betreffen eine nicht veränderbare prädiktive Abschaltgrenze von 80 mg/dl (vs. 50–90 mg/dl), eine Abschaltzeit von minimal 5 Minuten (vs. 30 Minuten) sowie die Festlegung der Wiedereinschaltung des Insulin bei einem höheren Wert als zuvor (vs. einem Abstand von 20 mg/dl über der Abschaltgrenze und höherer Prädiktion). Die Systeme wurden in einer Altersgruppe, die besonders von Unterzuckerungen bedroht ist, verglichen.
Methodik Pädiatrische Patienten (Alter 6–13 Jahre), mit Pumpen- und Sensorerfahrung (kein AID) wurde die Erprobung von Basal-IQ für eine Dauer von 3 Monaten angeboten. Betrachtet wurden die CGM-Parameter Zeit unter Zielbereich (TBR < 70mg/dl), im Zielbereich (TIR 70–180 mg/dl), glykämische Variabilität (Varianzkoeffizient CV%) und HbA1c. Patienten-bezogene Outcomes (PROʼs) wurden mit dem Diabskids-Elternfragebogen und einem Gerätefragebogen erfasst.
Ergebnisse Neun Teilnehmer (alle männlich, Mittelwerte: 9.7 Jahre, Diabetesdauer 6.1 Jahre, HbA1c 6.8%, Time in Range (TIR) 61.9%, Time below Range (TBR) 4.5%, mittlere Glukose (MW) 164 mg/dl, (CV) 40) wurden gefunden. Nach 3 Monaten konnten Verbesserungen der glykämischen Parameter beobachtet werden (HbA1c 6.5%, TIR 69.2%, TBR 2.8%, MW 159, CV 40; Kontrollen HbA1c 7.2%, TIR 64.9%, TBR 4.3%, MW 158, CV 39), die sich von einer zeitgleich mit Smartguard behandelten Kindern nicht unterschieden. Die Erfassung der PROʼs zeigte einen Rückgang der Diabetes- und Therapiebelastung, sowie eine Zufriedenheit mit dem System.
Diskussion Das neue System mit prädiktiver Abschaltung zeigte nach 3 Monaten eine Verbesserung der glykämischen Parameter und PROʼs. Ein statistischer Vergleich vorher/nachher ist aufgrund der geringen Patientenzahl nicht erfolgt, aber die Daten zeigen zumindest die Nichtunterlegenheit gegenüber dem Baseline-Zeitpunkt und den Daten, die aus einer Gruppe von Patienten mit kontinuierlicher Systemnutzung stammen. Somit stehen in Deutschland aktuell zwei verschiedene effiziente Systeme mit prädiktiver Insulinabschaltung für Kinder und Jugendliche mit Diabetes zur Verfügung, so dass diese nach fundierter Beratung auswählen können.
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Affiliation(s)
- Thekla von dem Berge
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Kerstin Remus
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Sarah Biester
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Felix Reschke
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Nicolin Datz
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Thomas Danne
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Olga Kordonouri
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
| | - Torben Biester
- Diabetes-Zentrum für Kinder und Jugendliche, AUF DER BULT, Kinder- und Jugendkrankenhaus, Hannover, Germany
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Alkhaled L, O’Riordan M, MacLeish S, Hazen R, Wood JR. Psychological Characteristics and Goals of Caregivers Choosing Continuous Glucose Monitoring for Children With Type 1 Diabetes. Diabetes Spectr 2022; 35:111-117. [PMID: 35308154 PMCID: PMC8914595 DOI: 10.2337/ds21-0015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Background Continuous glucose monitoring (CGM) can improve glycemic outcomes in pediatric type 1 diabetes management. However, its impact on the psychosocial functioning of caregivers is less well described. The objectives of this pilot study were to explore caregiver reasons for adding CGM to their child's type 1 diabetes management, parental psychosocial function before initiating CGM, and the relationship between the two. Methods Thirty-two families with a child with type 1 diabetes from Rainbow Babies and Children's Hospital diabetes clinics who were initiating CGM were recruited over 3 months. Before CGM initiation, the caregivers completed the Fear of Hypoglycemia Scale, State-Trait Anxiety Inventory, Problem Areas in Diabetes Scale, and a questionnaire assessing their primary reason for starting CGM. Participant characteristics and questionnaire results were summarized with descriptive statistics. Participants were grouped by reason for starting CGM, and results were compared among groups using ANOVA and reporting the global F test. Results Fifty percent of respondents indicated that they were starting CGM to optimize glycemic control. The majority of parents (71.8%) expressed worry about helplessness during a hypoglycemic episode. There were no statistically significant differences in patient characteristics or questionnaire results between groups. Forty-three percent of participating families started using CGM during the study's 8-month follow-up period. The main reason (64%) for not starting CGM was not having the chance to start the process of obtaining a CGM system. There were no statistically significant differences between children who did and did not start CGM. Conclusion Caregivers have different reasons for starting CGM for their child with type 1 diabetes. Further studies are needed to understand whether these reasons are related to differences in psychosocial functioning. Despite interest in starting CGM, there remain barriers to implementation.
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Affiliation(s)
- Lina Alkhaled
- Rainbow Babies and Children’s Hospital, University Hospitals
Cleveland Medical Center, Cleveland, OH
- Case Western Reserve University, Cleveland, OH
| | | | - Sarah MacLeish
- Rainbow Babies and Children’s Hospital, University Hospitals
Cleveland Medical Center, Cleveland, OH
- Case Western Reserve University, Cleveland, OH
| | - Rebecca Hazen
- Rainbow Babies and Children’s Hospital, University Hospitals
Cleveland Medical Center, Cleveland, OH
- Case Western Reserve University, Cleveland, OH
| | - Jamie R. Wood
- Rainbow Babies and Children’s Hospital, University Hospitals
Cleveland Medical Center, Cleveland, OH
- Case Western Reserve University, Cleveland, OH
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