1
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Bergford S, Riddell MC, Gal RL, Patton SR, Clements MA, Sherr JL, Calhoun P. Predicting Hypoglycemia and Hyperglycemia Risk During and After Activity for Adolescents with Type 1 Diabetes. Diabetes Technol Ther 2024. [PMID: 38669475 DOI: 10.1089/dia.2024.0061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/28/2024]
Abstract
Objective: To predict hypoglycemia and hyperglycemia risk during and after activity for adolescents with type 1 diabetes (T1D) using real-world data from the Type 1 Diabetes Exercise Initiative Pediatric (T1DEXIP) study. Methods: Adolescents with T1D (n = 225; [mean ± SD] age = 14 ± 2 years; HbA1c = 7.1 ± 1.3%; T1D duration = 5 ± 4 years; 56% using hybrid closed loop), wearing continuous glucose monitors (CGMs), logged 3738 total activities over 10 days. Repeated Measures Random Forest (RMRF) and Repeated Measures Logistic Regression (RMLR) models were used to predict a composite risk of hypoglycemia (<70 mg/dL) and hyperglycemia (>250 mg/dL) within 2 h after starting exercise. Results: RMRF achieved high precision predicting composite risk and was more accurate than RMLR Area under the receiver operating characteristic curve (AUROC 0.737 vs. 0.661; P < 0.001). Activities with minimal composite risk had a starting glucose between 132 and 160 mg/dL and a glucose rate of change at activity start between -0.4 and -1.9 mg/dL/min. Time <70 mg/dL and time >250 mg/dL during the prior 24 h, HbA1c level, and insulin on board at activity start were also predictive. Separate models explored factors at the end of activity; activities with glucose between 128 and 133 mg/dL and glucose rate of change between 0.4 and -0.6 mg/dL/min had minimal composite risk. Conclusions: Physically active adolescents with T1D should aim to start exercise with an interstitial glucose between 130 and 160 mg/dL with a flat or slightly decreasing CGM trend to minimize risk for developing dysglycemia. Incorporating factors such as historical glucose and insulin can improve prediction modeling for the acute glucose responses to exercise.
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Affiliation(s)
| | - Michael C Riddell
- School of Kinesiology and Health Science, Muscle Health Research Centre, York University, Toronto, Canada
| | - Robin L Gal
- Jaeb Center for Health Research, Tampa, Florida, USA
| | | | | | | | - Peter Calhoun
- Jaeb Center for Health Research, Tampa, Florida, USA
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2
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ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. 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: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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3
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The Advanced Diabetes Technologies for Reduction of the Frequency of Hypoglycemia and Minimizing the Occurrence of Severe Hypoglycemia in Children and Adolescents with Type 1 Diabetes. J Clin Med 2023; 12:jcm12030781. [PMID: 36769430 PMCID: PMC9917934 DOI: 10.3390/jcm12030781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 01/09/2023] [Accepted: 01/17/2023] [Indexed: 01/20/2023] Open
Abstract
Hypoglycemia is an often-observed acute complication in the management of children and adolescents with type 1 diabetes. It causes inappropriate glycemic outcomes and may impair the quality of life in the patients. Severe hypoglycemia with cognitive impairment, such as a convulsion and coma, is a lethal condition and is associated with later-onset cognitive impairment and brain-structural abnormalities, especially in young children. Therefore, reducing the frequency of hypoglycemia and minimizing the occurrence of severe hypoglycemia are critical issues in the management of children and adolescents with type 1 diabetes. Advanced diabetes technologies, including continuous glucose monitoring and sensor-augmented insulin pumps with low-glucose suspension systems, can reduce the frequency of hypoglycemia and the occurrence of severe hypoglycemia without aggravating glycemic control. The hybrid closed-loop system, an automated insulin delivery system, must be the most promising means to achieve appropriate glycemic control with preventing severe hypoglycemia. The use of these advanced diabetes technologies could improve glycemic outcomes and the quality of life in children and adolescents with type 1 diabetes.
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4
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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: 74] [Impact Index Per Article: 74.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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5
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Jackson S, Creo A, Al Nofal A. Management of Type 1 Diabetes in Children in the Outpatient Setting. Pediatr Rev 2022; 43:160-170. [PMID: 35229106 DOI: 10.1542/pir.2020-001388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Affiliation(s)
- Sarah Jackson
- Division of Pediatric Endocrinology, Department of Pediatric and Adolescent Medicine
| | - Ana Creo
- Division of Pediatric Endocrinology and Metabolism and Division of Endocrinology, Mayo Clinic, Rochester, MN
| | - Alaa Al Nofal
- Department of Pediatrics, Sanford School of Medicine, University of South Dakota, Vermillion, SD
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6
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Olde Rikkert MGM, Melis RJF, Cohen AA, (Geeske) Peeters GMEE. Age and Ageing journal 50th anniversary commentary seriesWhy illness is more important than disease in old age. Age Ageing 2022; 51:6501364. [PMID: 35018409 PMCID: PMC8755909 DOI: 10.1093/ageing/afab267] [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: 10/19/2021] [Indexed: 12/05/2022] Open
Abstract
Clinical reasoning and research in modern geriatrics often prioritises the disease concept. This is understandable as it has brought impressive advances in medicine (e.g. antibiotics, vaccines, successful cancer treatment and many effective surgeries). However, so far the disease framework has not succeeded in getting us to root causes of many age-related chronic diseases (e.g. Alzheimer’s disease, diabetes, osteoarthritis). Moreover, in aging and disease constructs alone fail to explain the variability in illness presentations. Therefore, we propose to apply the underused illness concept in a new way by reconsidering the importance of common symptoms in the form of a dynamic network of symptoms as a complementary framework. We show that concepts and methods of complex system thinking now enable to fruitfully monitor and analyse the multiple interactions between symptoms in such in networks, offering new routes for prognosis and treatment. Moreover, close attention to the symptoms that bother older persons may also improve weighing the therapeutic objectives of well-being and survival and aligning treatment targets with the patients’ priorities.
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Affiliation(s)
- Marcel G M Olde Rikkert
- Department of Geriatric Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - René J F Melis
- Department of Geriatric Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Alan A Cohen
- PRIMUS Research Group, Department of Family Medicine, University of Sherbrooke, Sherbrooke, Quebec J1H 5N4, Canada
- Research Center on Aging, Sherbrooke, Quebec J1H 4C4, Canada
- Research Center of Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Quebec J1H 5N4, Canada
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7
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Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc22-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc22-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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8
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Gómez AM, Imitola A, Henao D, García-Jaramillo M, Giménez M, Viñals C, Grassi B, Torres M, Zuluaga I, Muñoz OM, Rondón M, León-Vargas F, Conget I. Factors associated with clinically significant hypoglycemia in patients with type 1 diabetes using sensor-augmented pump therapy with predictive low-glucose management: A multicentric study on iberoamerica. Diabetes Metab Syndr 2021; 15:267-272. [PMID: 33477103 DOI: 10.1016/j.dsx.2021.01.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 01/01/2021] [Accepted: 01/02/2021] [Indexed: 12/17/2022]
Abstract
BACKGROUND AND AIMS Despite using sensor-augmented pump therapy (SAPT) with predictive low-glucose management (PLGM), hypoglycemia is still an issue in patients with type 1 Diabetes (T1D). Our aim was to determine factors associated with clinically significant hypoglycemia (<54 mg/dl) in persons with T1D treated with PLGM-SAPT. METHOD ology: This is a multicentric prospective real-life study performed in Colombia, Chile and Spain. Patients with T1D treated with PLGM-SAPT, using sensor ≥70% of time, were included. Data regarding pump and sensor use patterns and carbohydrate intake from 28 consecutive days were collected. A bivariate and multivariate Poisson regression analysis was carried out, to evaluate the association between the number of events of <54 mg/dl with the clinical variables and patterns of sensor and pump use. RESULTS 188 subjects were included (41 ± 13.8 years-old, 23 ± 12 years disease duration, A1c 7.2% ± 0.9). The median of events <54 mg/dl was four events/patient/month (IQR 1-10), 77% of these events occurred during day time. Multivariate analysis showed that the number of events of hypoglycemia were higher in patients with previous severe hypoglycemia (IRR1.38; 95% CI 1.19-1.61; p < 0.001), high glycemic variability defined as Coefficient of Variation (CV%) > 36% (IRR 2.09; 95%CI 1.79-2.45; p < 0.001) and hypoglycemia unawareness. A protector effect was identified for adequate sensor calibration (IRR 0.77; 95%CI 0.66-0.90; p:0.001), and the use of bolus wizard >60% (IRR 0.74; 95%CI 0.58-0.95; p:0.017). CONCLUSION In spite of using advanced SAPT, clinically significant hypoglycemia is still a non-negligible risk. Only the identification and intervention of modifiable factors could help to prevent and reduce hypoglycemia in clinical practice.
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Affiliation(s)
- Ana M Gómez
- Pontificia Universidad Javeriana, Carrera 7 No. 40-62, Bogotá, Colombia; Hospital Universitario San Ignacio, Endocrinology Unit, Carrera 7 No. 40-62, Bogotá, Colombia.
| | - Angelica Imitola
- Pontificia Universidad Javeriana, Carrera 7 No. 40-62, Bogotá, Colombia; Hospital Universitario San Ignacio, Endocrinology Unit, Carrera 7 No. 40-62, Bogotá, Colombia.
| | - Diana Henao
- Pontificia Universidad Javeriana, Carrera 7 No. 40-62, Bogotá, Colombia; Hospital Universitario San Ignacio, Endocrinology Unit, Carrera 7 No. 40-62, Bogotá, Colombia.
| | | | - Marga Giménez
- Diabetes Unit, Endocrinology and Nutrition Department, IDIBAPS (Institut D'investigacions Biomèdiques August Pi i Sunyer), CIBERDEM (Centro de Investigaciones Biomédicas en Red Sobre Diabetes y Enfermedades Metabólicas), Barcelona, Spain.
| | - Clara Viñals
- Diabetes Unit, Endocrinology and Nutrition Department, IDIBAPS (Institut D'investigacions Biomèdiques August Pi i Sunyer), CIBERDEM (Centro de Investigaciones Biomédicas en Red Sobre Diabetes y Enfermedades Metabólicas), Barcelona, Spain.
| | - Bruno Grassi
- Pontificia Universidad Católica de Chile, Chile.
| | - Mariana Torres
- Pontificia Universidad Javeriana, Carrera 7 No. 40-62, Bogotá, Colombia.
| | - Isabella Zuluaga
- Pontificia Universidad Javeriana, Carrera 7 No. 40-62, Bogotá, Colombia.
| | - Oscar Mauricio Muñoz
- Pontificia Universidad Javeriana, Carrera 7 No. 40-62, Bogotá, Colombia; Hospital Universitario San Ignacio, Department of Internal Medicine, Bogotá, Colombia; Department of Clinical Epidemiology and Biostatistics, Pontificia Universidad Javeriana, Carrera 7 No. 40-62, Bogotá, Colombia.
| | - Martin Rondón
- Department of Clinical Epidemiology and Biostatistics, Pontificia Universidad Javeriana, Carrera 7 No. 40-62, Bogotá, Colombia.
| | | | - Ignacio Conget
- Diabetes Unit, Endocrinology and Nutrition Department, IDIBAPS (Institut D'investigacions Biomèdiques August Pi i Sunyer), CIBERDEM (Centro de Investigaciones Biomédicas en Red Sobre Diabetes y Enfermedades Metabólicas), Barcelona, Spain.
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9
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Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc21-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc21-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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10
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Viñals C, Beneyto A, Martín-SanJosé JF, Furió-Novejarque C, Bertachi A, Bondia J, Vehi J, Conget I, Giménez M. Artificial Pancreas With Carbohydrate Suggestion Performance for Unannounced and Announced Exercise in Type 1 Diabetes. J Clin Endocrinol Metab 2021; 106:55-63. [PMID: 32852548 DOI: 10.1210/clinem/dgaa562] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Accepted: 08/14/2020] [Indexed: 12/16/2022]
Abstract
OBJECTIVE To evaluate the safety and performance of a new multivariable closed-loop (MCL) glucose controller with automatic carbohydrate recommendation during and after unannounced and announced exercise in adults with type 1 diabetes (T1D). RESEARCH DESIGN AND METHODS A randomized, 3-arm, crossover clinical trial was conducted. Participants completed a heavy aerobic exercise session including three 15-minute sets on a cycle ergometer with 5 minutes rest in between. In a randomly determined order, we compared MCL control with unannounced (CLNA) and announced (CLA) exercise to open-loop therapy (OL). Adults with T1D, insulin pump users, and those with hemoglobin (Hb)A1c between 6.0% and 8.5% were eligible. We investigated glucose control during and 3 hours after exercise. RESULTS Ten participants (aged 40.8 ± 7.0 years; HbA1c of 7.3 ± 0.8%) participated. The use of the MCL in both closed-loop arms decreased the time spent <70 mg/dL of sensor glucose (0.0%, [0.0-16.8] and 0.0%, [0.0-19.2] vs 16.2%, [0.0-26.0], (%, [percentile 10-90]) CLNA and CLA vs OL respectively; P = 0.047, P = 0.063) and the number of hypoglycemic events when compared with OL (CLNA 4 and CLA 3 vs OL 8; P = 0.218, P = 0.250). The use of the MCL system increased the proportion of time within 70 to 180 mg/dL (87.8%, [51.1-100] and 91.9%, [58.7-100] vs 81.1%, [65.4-87.0], (%, [percentile 10-90]) CLNA and CLA vs OL respectively; P = 0.227, P = 0.039). This was achieved with the administration of similar doses of insulin and a reduced amount of carbohydrates. CONCLUSIONS The MCL with automatic carbohydrate recommendation performed well and was safe during and after both unannounced and announced exercise, maintaining glucose mostly within the target range and reducing the risk of hypoglycemia despite a reduced amount of carbohydrate intake.Register Clinicaltrials.gov: NCT03577158.
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Affiliation(s)
- Clara Viñals
- Diabetes Unit, Endocrinology and Nutrition Department Hospital Clínic de Barcelona, Spain
| | - Aleix Beneyto
- Institute of Informatics and Applications, University of Girona, Girona, Spain
| | - Juan-Fernando Martín-SanJosé
- Instituto Universitario de Automática e Informática Industrial, Universitat Politècnica de València, València, Spain
| | - Clara Furió-Novejarque
- Instituto Universitario de Automática e Informática Industrial, Universitat Politècnica de València, València, Spain
| | - Arthur Bertachi
- Federal University of Technology-Paraná (UTFPR), Guarapuava, Brazil
| | - Jorge Bondia
- Instituto Universitario de Automática e Informática Industrial, Universitat Politècnica de València, València, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
| | - Josep Vehi
- Institute of Informatics and Applications, University of Girona, Girona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
| | - Ignacio Conget
- Diabetes Unit, Endocrinology and Nutrition Department Hospital Clínic de Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Marga Giménez
- Diabetes Unit, Endocrinology and Nutrition Department Hospital Clínic de Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
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11
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Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc20-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc20-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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12
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Urakami T. Severe Hypoglycemia: Is It Still a Threat for Children and Adolescents With Type 1 Diabetes? Front Endocrinol (Lausanne) 2020; 11:609. [PMID: 33042005 PMCID: PMC7523511 DOI: 10.3389/fendo.2020.00609] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Accepted: 07/27/2020] [Indexed: 12/13/2022] Open
Abstract
Severe hypoglycemia is defined as a condition with serious cognitive dysfunction, such as a convulsion and coma, requiring external help from other persons. This condition is still lethal and is reported to be the cause of death in 4-10% in children and adolescents with type 1 diabetes. The incidence of severe hypoglycemia in the pediatric population was previously reported as high as more than 50-100 patient-years; however, there was a decline in the frequency of severe hypoglycemia during the past decades, and relationship with glycemic control became weaker than previously reported. A lot of studies have shown the neurological sequelae with severe hypoglycemia as cognitive dysfunction and abnormalities in brain structure. This serious condition also provides negative psychosocial outcomes and undesirable compensatory behaviors. Various possible factors, such as younger age, recurrent hypoglycemia, nocturnal hypoglycemia, and impaired awareness of hypoglycemia, are possible risk factors for developing severe hypoglycemia. A low HbA1c level is not a predictable value for severe hypoglycemia. Prevention of severe hypoglycemia remains one of the most critical issues in the management of pediatric patients with type 1 diabetes. Advanced technologies, such as continuous glucose monitoring (CGM), intermittently scanned CGM, and sensor-augmented pump therapy with low-glucose suspend system, potentially minimize the occurrence of severe hypoglycemia without worsening overall glycemic control. Hybrid closed-loop system must be the most promising tool for achieving optimal glycemic control with preventing the occurrence of severe hypoglycemia in pediatric patients with type 1 diabetes.
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13
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Lal RA, Ekhlaspour L, Hood K, Buckingham B. Realizing a Closed-Loop (Artificial Pancreas) System for the Treatment of Type 1 Diabetes. Endocr Rev 2019; 40:1521-1546. [PMID: 31276160 PMCID: PMC6821212 DOI: 10.1210/er.2018-00174] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Accepted: 02/28/2019] [Indexed: 01/20/2023]
Abstract
Recent, rapid changes in the treatment of type 1 diabetes have allowed for commercialization of an "artificial pancreas" that is better described as a closed-loop controller of insulin delivery. This review presents the current state of closed-loop control systems and expected future developments with a discussion of the human factor issues in allowing automation of glucose control. The goal of these systems is to minimize or prevent both short-term and long-term complications from diabetes and to decrease the daily burden of managing diabetes. The closed-loop systems are generally very effective and safe at night, have allowed for improved sleep, and have decreased the burden of diabetes management overnight. However, there are still significant barriers to achieving excellent daytime glucose control while simultaneously decreasing the burden of daytime diabetes management. These systems use a subcutaneous continuous glucose sensor, an algorithm that accounts for the current glucose and rate of change of the glucose, and the amount of insulin that has already been delivered to safely deliver insulin to control hyperglycemia, while minimizing the risk of hypoglycemia. The future challenge will be to allow for full closed-loop control with minimal burden on the patient during the day, alleviating meal announcements, carbohydrate counting, alerts, and maintenance. The human factors involved with interfacing with a closed-loop system and allowing the system to take control of diabetes management are significant. It is important to find a balance between enthusiasm and realistic expectations and experiences with the closed-loop system.
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Affiliation(s)
- Rayhan A Lal
- Division of Endocrinology, Department of Pediatrics, Stanford University School of Medicine, Stanford, California.,Division of Endocrinology, Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Laya Ekhlaspour
- Division of Endocrinology, Department of Pediatrics, Stanford University School of Medicine, Stanford, California
| | - Korey Hood
- Division of Endocrinology, Department of Pediatrics, Stanford University School of Medicine, Stanford, California.,Department of Psychiatry, Stanford University School of Medicine, Stanford, California
| | - Bruce Buckingham
- Division of Endocrinology, Department of Pediatrics, Stanford University School of Medicine, Stanford, California
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14
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Chen E, King F, Kohn MA, Spanakis EK, Breton M, Klonoff DC. A Review of Predictive Low Glucose Suspend and Its Effectiveness in Preventing Nocturnal Hypoglycemia. Diabetes Technol Ther 2019; 21:602-609. [PMID: 31335193 DOI: 10.1089/dia.2019.0119] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
To evaluate the effectiveness of predictive low glucose suspend (PLGS) systems within sensor-augmented insulin infusion pumps at preventing nocturnal hypoglycemia in patients with type 1 diabetes (DM1), we performed a systematic review and meta-analysis of randomized crossover trials. Pubmed and Google Scholar were searched for randomized crossover trials, published between January 2013 and July 2018, in nonpregnant outpatients with DM1, which compared event rates during PLGS overnight periods and non-PLGS overnight periods. The primary outcome was the proportion of overnight periods with one or more hypoglycemic measurement. When available, individual patient data were used to assess the effect of clustering measurements within patients. Four studies (272 patients, 10,735 patient-nights: 5422 PLGS and 5313 non-PLGS) were included in the meta-analysis. Two studies reported patient-level data that permitted assessment of the effect of clustering measurements within patients. The effect on the risk difference was minimal. The proportion of overnight periods with one or more episodes of hypoglycemia was 19.6% for the PLGS periods and 27.8% for the non-PLGS periods. Based on the pooled estimate, PLGS overnight periods were associated with an 8.8% lower risk of hypoglycemia (risk difference -0.088; 95% CI -0.119 to -0.056, I2 = 67.4%, τ2 = 0.0006, 4 studies). PLGS systems can reduce nocturnal hypoglycemic events in patients with DM1.
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Affiliation(s)
- Ethan Chen
- Diabetes Research Institute at Mills-Peninsula Medical Center, San Mateo, California
| | - Fraya King
- Diabetes Research Institute at Mills-Peninsula Medical Center, San Mateo, California
| | - Michael A Kohn
- Department of Epidemiology and Biostatistics, University of California, San Francisco School of Medicine, San Francisco, California
| | - Elias K Spanakis
- Division of Endocrinology, Baltimore Veterans Affairs Medical Center, Baltimore, Maryland
- Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, Maryland
| | - Marc Breton
- Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia
| | - David C Klonoff
- Diabetes Research Institute at Mills-Peninsula Medical Center, San Mateo, California
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15
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Mao Y, Wen S, Zhou M, Zhu S, Zhou L. The hypoglycemia associated autonomic failure triggered by exercise in the patients with "brittle" diabetes and the strategy for prevention. Endocr J 2019; 66:753-762. [PMID: 31406090 DOI: 10.1507/endocrj.ej19-0153] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Exercise is a fundamental component of diabetes management. However, choosing inappropriate type or timing of exercise is associated with mild or severe hypoglycemia either during exercise or several hours after exercise. Several studies have shown that impaired counterregulatory responses triggers hypoglycemia. Therefore, in this investigation, we explored the appropriate intensity and time of exercise in patients with diabetes. The mechanisms of counterregulatory responses and hypoglycemia associated autonomic failure (HAAF), as well as the strategies for preventing episodes of hypoglycemia after exercise were also investigated. In this study, we obtained the following results: 1) High intensity interval exercise is more suitable for diabetic patients. 2) Morning exercise reduces nocturnal hypoglycemia risks compared with midday, afternoon and evening exercise. 3) Hypoglycemia can be prevented by dietary approach, reduction or suspension of insulin dose, use of mini dose glucagon, caffeine, mitigation methods, prediction algorithm, autonomic feedback controlled close-loop insulin delivery, real time continuous glucose monitoring. Based on these results we concluded that exercise may cause severe hypoglycemia or induce blunted response in patients with diabetes. For Diabetes Mellitus (DM) patients, the intensity and time of exercise influence the occurrence of hypoglycemia. This review summarizes the clinical characteristics of different types of exercises and time of exercise that can be potentially used to educate and guide patients regarding the role of exercise in standard of care.
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Affiliation(s)
- Yilun Mao
- Department of Endocrinology, Shanghai Pudong Hospital, Fudan University, Shanghai 201399, China
| | - Song Wen
- Department of Endocrinology, Shanghai Pudong Hospital, Fudan University, Shanghai 201399, China
| | - Mingyue Zhou
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, USA
| | - Shifei Zhu
- Department of Endocrinology, Shanghai Pudong Hospital, Fudan University, Shanghai 201399, China
| | - Ligang Zhou
- Department of Endocrinology, Shanghai Pudong Hospital, Fudan University, Shanghai 201399, China
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16
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Gómez AM, Henao DC, Taboada LB, Leguizamón G, Rondón MA, Muñoz OM, García-Jaramillo MA, León Vargas FM. Impact of sensor-augmented pump therapy with predictive low-glucose management on hypoglycemia and glycemic control in patients with type 1 diabetes mellitus: 1-year follow-up. Diabetes Metab Syndr 2019; 13:2625-2631. [PMID: 31405686 DOI: 10.1016/j.dsx.2019.07.024] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Accepted: 07/10/2019] [Indexed: 10/26/2022]
Abstract
AIMS To describe real-life experience with sensor-augmented pump therapy with predictive low-glucose management (SAPT-PLGM), in terms of hypoglycemia and glycemic control after one year of follow-up in T1D patients with hypoglycemia as the main indication of therapy. METHODS Retrospective cohort study under real life conditions. Baseline and one-year follow-up variables of glycemic control, hypoglycemia and glycemic variability were compared. RESULTS Fifty patients were included, 31 on prior treatment with SAPT with low-glucose suspend (LGS) feature and 19 on multiple dose insulin injections (MDI). Mean HbA1c decreased in the MDI group (8.24%-7.08%; p = 0.0001). HbA1c change was not significant in the SAPT-LGS group. Area under the curve (AUC) below 70 mg/dl improved in both SAPT-LGS and MDI groups while AUC, %time and events below 54 mg/dl decreased in SAPT-LGS group. Glycemic variability improved in the MDI group. Less patients presented severe hypoglycemia with SAPT-PLGM in both groups, however the change was non-significant. CONCLUSIONS Under real life conditions, SAPT-PLGM reduced metrics of hypoglycemia in patients previously treaded with MDI and SAPT-LGS without deteriorating glycemic control in SAPT-LGS patients, while improving it in patients treated with MDI.
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Affiliation(s)
- Ana M Gómez
- Pontificia Universidad Javeriana, Bogotá, Colombia; Hospital Universitario San Ignacio, Division of Endocrinology, Bogotá, Colombia.
| | - Diana C Henao
- Pontificia Universidad Javeriana, Bogotá, Colombia; Hospital Universitario San Ignacio, Division of Endocrinology, Bogotá, Colombia
| | - Lucía B Taboada
- Pontificia Universidad Javeriana, Bogotá, Colombia; Hospital Universitario San Ignacio, Division of Endocrinology, Bogotá, Colombia
| | | | - Martín A Rondón
- Department of Clinical Epidemiology and Biostatistics, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Oscar M Muñoz
- Hospital Universitario San Ignacio, Department of Internal Medicine, Bogotá, Colombia
| | | | - Fabián M León Vargas
- Faculty of Mechanical, Electronic and Biomedical Engineering, Universidad Antonio Nariño, Bogotá, Colombia
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17
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Vettoretti M, Facchinetti A. Combining continuous glucose monitoring and insulin pumps to automatically tune the basal insulin infusion in diabetes therapy: a review. Biomed Eng Online 2019; 18:37. [PMID: 30922295 PMCID: PMC6440103 DOI: 10.1186/s12938-019-0658-x] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Accepted: 03/20/2019] [Indexed: 12/19/2022] Open
Abstract
For individuals affected by Type 1 diabetes (T1D), a chronic disease in which the pancreas does not produce any insulin, maintaining the blood glucose (BG) concentration as much as possible within the safety range (70–180 mg/dl) allows avoiding short- and long-term complications. The tuning of exogenous insulin infusion can be difficult, especially because of the inter- and intra-day variability of physiological and behavioral factors. Continuous glucose monitoring (CGM) sensors, which monitor glucose concentration in the subcutaneous tissue almost continuously, allowed improving the detection of critical hypo- and hyper-glycemic episodes. Moreover, their integration with insulin pumps for continuous subcutaneous insulin infusion allowed developing algorithms that automatically tune insulin dosing based on CGM measurements in order to mitigate the incidence of critical episodes. In this work, we aim at reviewing the literature on methods for CGM-based automatic attenuation or suspension of basal insulin with a focus on algorithms, their implementation in commercial devices and clinical evidence of their effectiveness and safety.
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Affiliation(s)
- Martina Vettoretti
- Department of Information Engineering, University of Padova, Via G. Gradenigo 6/B, 35131, Padova, Italy
| | - Andrea Facchinetti
- Department of Information Engineering, University of Padova, Via G. Gradenigo 6/B, 35131, Padova, Italy.
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18
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Cherubini V, Gesuita R, Skrami E, Rabbone I, Bonfanti R, Arnaldi C, D'Annunzio G, Frongia A, Lombardo F, Piccinno E, Schiaffini R, Toni S, Tumini S, Tinti D, Cipriano P, Minuto N, Lenzi L, Ferrito L, Ventrici C, Ortolani F, Cohen O, Scaramuzza A. Optimal predictive low glucose management settings during physical exercise in adolescents with type 1 diabetes. Pediatr Diabetes 2019; 20:107-112. [PMID: 30378759 DOI: 10.1111/pedi.12792] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Revised: 07/24/2018] [Accepted: 10/18/2018] [Indexed: 01/19/2023] Open
Abstract
OBJECTIVES To assess the optimal setting of the predictive low glucose management (PLGM) algorithm for preventing exercise-induced hypoglycemia in adolescents with type 1 diabetes. METHODS Thirty-four adolescents, 15 to 20 years, wearing PLGM system, were followed during 3 days exercise during a diabetes camp. PLGM threshold was set at 70 mg/dL between 8 am and 10 pm and 90 mg/dL during 10 pm and 8 am Adolescents were divided into group A and B, with PLGM threshold at 90 and 70 mg/dL, respectively, during exercise. Time spent in hypoglycemia and AUC for time slots 8 am to 1 pm, 1 to 4 pm, 4 to 11 pm, 11 pm to 3 am, 3 to 8 am, in 3 days were compared between groups by Wilcoxon rank sum test. RESULTS We analyzed 31 patients (median age 15.0 years, 58.1% males, median diabetes duration 7.0 years, hemoglobin A1c [HbA1c] 7.1%). No significant difference has been observed in time spent in hypoglycemia between groups using threshold 70 or 90. Time spent in target was similar in both groups, as well as time spent in hypo or hyperglycemia. The trends of blood glucose over the 3 days in the 2 groups over-lapped without significant differences. CONCLUSIONS A PLGM threshold of 90 mg/dL during the night was associated with reduced time in hypoglycemia in adolescents doing frequent physical exercise, while maintaining 65.1% time in range during the day. However, a threshold of 70 mg/dL seems to be safe in the duration of the physical exercise. PLGM system in adolescents with type 1 diabetes was effective to prevent hypoglycemia during and after exercise, irrespective of the PLGM thresholds used.
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Affiliation(s)
- Valentino Cherubini
- Division of Pediatric and Adolescent Diabetes, Department of Women's and Children's Health, AOU Salesi Hospital, Ancona, Italy
| | - Rosaria Gesuita
- Centre of Epidemiology and Biostatistics, Polytechnic University of Marche, Ancona, Italy
| | - Edlira Skrami
- Centre of Epidemiology and Biostatistics, Polytechnic University of Marche, Ancona, Italy
| | - Ivana Rabbone
- Department of Pediatrics, University of Turin, Turin, Italy
| | - Riccardo Bonfanti
- Pediatric Diabetes and Diabetes Research Institute, San Raffaele Hospital, Milan, Italy
| | | | - Giuseppe D'Annunzio
- Department of Pediatrics, Istituto "G. Gaslini" Children's Hospital, Genoa, Italy
| | | | | | - Elvira Piccinno
- Metabolic Diseases and Diabetology, Pediatric Hospital Giovanni XXIII, Bari, Italy
| | | | - Sonia Toni
- Juvenile Diabetes Center, Anna Meyer Children's Hospital, Florence, Italy
| | - Stefano Tumini
- Center of Pediatric Diabetology, University of Chieti, Chieti, Italy
| | - Davide Tinti
- Department of Pediatrics, University of Turin, Turin, Italy
| | - Paola Cipriano
- Center of Pediatric Diabetology, University of Chieti, Chieti, Italy
| | - Nicola Minuto
- Institute of Endocrinology, Sheba Medical Center, Ramat Gan, Israel
| | - Lorenzo Lenzi
- Juvenile Diabetes Center, Anna Meyer Children's Hospital, Florence, Italy
| | - Lucia Ferrito
- Division of Pediatric and Adolescent Diabetes, Department of Women's and Children's Health, AOU Salesi Hospital, Ancona, Italy
| | | | - Federica Ortolani
- Metabolic Diseases and Diabetology, Pediatric Hospital Giovanni XXIII, Bari, Italy
| | - Ohad Cohen
- Institute of Endocrinology, Sheba Medical Center, Ramat Gan, Israel.,Medtronic, Tolochenaz, Switzerland
| | - Andrea Scaramuzza
- Division of Pediatrics, ASST Cremona, "Ospedale Maggiore di Cremona", Cremona, Italy
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19
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Abraham MB, Smith GJ, Nicholas JA, Fairchild JM, King BR, Ambler GR, Cameron FJ, Davis EA, Jones TW. Characteristics of Automated Insulin Suspension and Glucose Responses with the Predictive Low-Glucose Management System. Diabetes Technol Ther 2019; 21:28-34. [PMID: 30585769 DOI: 10.1089/dia.2018.0205] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND The Predictive Low-Glucose Management (PLGM) system suspends basal insulin when hypoglycemia is predicted and reduces hypoglycemia. The aim of this analysis was to explore the characteristics of automated insulin suspension and sensor glucose (SG) responses following PLGM-initiated pump suspension. RESEARCH DESIGN AND METHODS Children and adolescents with type 1 diabetes used the Medtronic MiniMed™ 640G pump as part of a randomized controlled trial. Data collected on a subgroup of participants on PLGM (suspend before low enabled) from CareLink® Therapy Management Software were analyzed to explore the time and duration of PLGM-initiated pump suspension. Day and nighttime were defined as 06:00 am to 10:00 pm and 10:00 pm to 6:00 am, respectively. RESULTS There were 20,183 suspend before low events in 8523 days (2.37 events/day). The mean suspend duration was 55.0 ± 32.7 min (day 50.0 ± 30.1, night 71.7 ± 35.1; P < 0.001). Although a 2-h pump suspension was more frequent at night (day 5%, night 18%), a patient-initiated resumption occurred more during day (day 34%, night 12%). SG values did not reach <3.5 and <3 mmol/L in 79% and 91% of the events, respectively. The 2-h SG following pump resumption was higher following autoresumption during the day (day vs. night 9.3 mmol/L vs. 8.4 mmol/L; P < 0.001). CONCLUSIONS Longer suspends and fewer glycemic excursions occur at night compared with day. The higher glycemic daytime excursions could be due to carbohydrate consumption to increase glucose levels and highlights the need for health care professionals to educate patients about carbohydrate intake around pump suspension.
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Affiliation(s)
- Mary B Abraham
- 1 Children's Diabetes Center, Telethon Kids Institute, The University of Western Australia, Perth, Australia
- 2 Department of Endocrinology and Diabetes, Perth Children's Hospital, Perth, Australia
- 3 Division of Pediatrics, Within the Medical School, The University of Western Australia, Perth, Australia
| | - Grant J Smith
- 1 Children's Diabetes Center, Telethon Kids Institute, The University of Western Australia, Perth, Australia
| | - Jennifer A Nicholas
- 1 Children's Diabetes Center, Telethon Kids Institute, The University of Western Australia, Perth, Australia
- 2 Department of Endocrinology and Diabetes, Perth Children's Hospital, Perth, Australia
| | - Janice M Fairchild
- 4 Department of Endocrinology and Diabetes, Women's and Children's Hospital, Adelaide, Australia
| | - Bruce R King
- 5 Department of Endocrinology and Diabetes, John Hunter Children's Hospital, Newcastle, Australia
| | - Geoffrey R Ambler
- 6 Institute of Endocrinology and Diabetes, The Children's Hospital at Westmead, The University of Sydney, Sydney, Australia
| | - Fergus J Cameron
- 7 Department of Endocrinology and Diabetes, Royal Children's Hospital, Melbourne, Australia
| | - Elizabeth A Davis
- 1 Children's Diabetes Center, Telethon Kids Institute, The University of Western Australia, Perth, Australia
- 2 Department of Endocrinology and Diabetes, Perth Children's Hospital, Perth, Australia
- 3 Division of Pediatrics, Within the Medical School, The University of Western Australia, Perth, Australia
| | - Timothy W Jones
- 1 Children's Diabetes Center, Telethon Kids Institute, The University of Western Australia, Perth, Australia
- 2 Department of Endocrinology and Diabetes, Perth Children's Hospital, Perth, Australia
- 3 Division of Pediatrics, Within the Medical School, The University of Western Australia, Perth, Australia
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20
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Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes 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, please refer to the Standards of Care Introduction Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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21
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Chetty T, Shetty V, Fournier PA, Adolfsson P, Jones TW, Davis EA. Exercise Management for Young People With Type 1 Diabetes: A Structured Approach to the Exercise Consultation. Front Endocrinol (Lausanne) 2019; 10:326. [PMID: 31258513 PMCID: PMC6587067 DOI: 10.3389/fendo.2019.00326] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Accepted: 05/07/2019] [Indexed: 12/11/2022] Open
Abstract
Regular physical activity during childhood is important for optimal physical and psychological development. For individuals with Type 1 Diabetes (T1D), physical activity offers many health benefits including improved glycemic control, cardiovascular function, blood lipid profiles, and psychological well-being. Despite these benefits, many young people with T1D do not meet physical activity recommendations. Barriers to engaging in a physically active lifestyle include fear of hypoglycemia, as well as insufficient knowledge in managing diabetes around exercise in both individuals and health care professionals. Diabetes and exercise management is complex, and many factors can influence an individual's glycemic response to exercise including exercise related factors (such as type, intensity and duration of the activity) and person specific factors (amount of insulin on board, person's stress/anxiety and fitness levels). International guidelines provide recommendations for clinical practice, however a gap remains in how to apply these guidelines to a pediatric exercise consultation. Consequently, it can be challenging for health care practitioners to advise young people with T1D how to approach exercise management in a busy clinic setting. This review provides a structured approach to the child/adolescent exercise consultation, based on a framework of questions, to assist the health care professional in formulating person-specific exercise management plans for young people with T1D.
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Affiliation(s)
- Tarini Chetty
- Children's Diabetes Centre, Perth Children's Hospital, Perth, WA, Australia
- *Correspondence: Tarini Chetty
| | - Vinutha Shetty
- Children's Diabetes Centre, Perth Children's Hospital, Perth, WA, Australia
- UWA Centre for Child Health Research, University of Western Australia, Perth, WA, Australia
| | - Paul Albert Fournier
- School of Human Sciences, University of Western Australia, Perth, WA, Australia
- Telethon Kids Institute, Perth Children's Hospital, Perth, WA, Australia
| | - Peter Adolfsson
- Department of Pediatrics, The Hospital of Halland, Kungsbacka, Sweden
- Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Timothy William Jones
- Children's Diabetes Centre, Perth Children's Hospital, Perth, WA, Australia
- UWA Centre for Child Health Research, University of Western Australia, Perth, WA, Australia
- Telethon Kids Institute, Perth Children's Hospital, Perth, WA, Australia
| | - Elizabeth Ann Davis
- Children's Diabetes Centre, Perth Children's Hospital, Perth, WA, Australia
- UWA Centre for Child Health Research, University of Western Australia, Perth, WA, Australia
- Telethon Kids Institute, Perth Children's Hospital, Perth, WA, Australia
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22
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Wood MA, Shulman DI, Forlenza GP, Bode BW, Pinhas-Hamiel O, Buckingham BA, Kaiserman KB, Liljenquist DR, Bailey TS, Shin J, Huang S, Chen X, Cordero TL, Lee SW, Kaufman FR. In-Clinic Evaluation of the MiniMed 670G System "Suspend Before Low" Feature in Children with Type 1 Diabetes. Diabetes Technol Ther 2018; 20:731-737. [PMID: 30299976 DOI: 10.1089/dia.2018.0209] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
BACKGROUND The Medtronic predictive low-glucose management (PLGM) algorithm automatically stops insulin delivery when sensor glucose (SG) is predicted to reach or fall below a preset low-glucose value within the next 30 min, and resumes delivery after hypoglycemia recovery. The present study evaluated the PLGM algorithm performance of the MiniMed™ 670G system SmartGuard™ "suspend before low" feature in children aged 7-13 years with type 1 diabetes (T1D). METHOD Participants (N = 105, mean ± standard deviation of 10.8 ± 1.8 years) underwent an overnight in-clinic evaluation of the "suspend before low" feature with a preset low limit of 65 mg/dL. After exercise, frequent sample testing (FST) was conducted every 5 min if values were <70 mg/dL; every 15 min if 70-80 mg/dL; and every 30 min if >80 mg/dL. First-day performance of the Guardian™ Sensor 3 glucose sensor and continuous glucose monitoring system was also evaluated. RESULTS Activation of the "suspend before low" feature occurred in 79 of the 105 participants, 79.7% (63/79) did not result in SG falling below 65 mg/dL. Mean glucose at activation was 102 ± 19 mg/dL and the initial insulin suspension duration was 87.5 ± 32.7 min. Four hours after insulin resumption, mean reference glucose was 130 ± 42 mg/dL. Mean absolute relative difference between the FST reference glucose and SG values on the first day of sensor wear was 11.4%. For the 26 participants in whom the "suspend before low" feature did not activate, none involved a reference glucose value ≤65 mg/dL, suggesting that the PLGM algorithm performed as intended. CONCLUSION In children aged 7-13 years with T1D, the "suspend before low" feature of the MiniMed 670G system demonstrated a hypoglycemia prevention rate of nearly 80% after exercise and did not involve rebound hyperglycemia. There were no events of severe hypoglycemia during the evaluation.
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Affiliation(s)
- Michael A Wood
- 1 Division of Pediatric Endocrinology, University of Michigan Medical School , Ann Arbor, Michigan
| | - Dorothy I Shulman
- 2 USF Diabetes Center, Morsani College of Medicine, University of South Florida , Tampa, Florida
| | | | - Bruce W Bode
- 4 Atlanta Diabetes Associates , Atlanta, Georgia
| | - Orit Pinhas-Hamiel
- 5 Edmond and Lily Safra Children's Hospital, Sheba Medical Center , Tel Aviv, Israel
| | - Bruce A Buckingham
- 6 Department of Pediatric Endocrinology, Stanford University , Stanford, California
| | | | | | | | - John Shin
- 10 Medtronic , Northridge, California
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23
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Abraham MB, Jones TW, Naranjo D, Karges B, Oduwole A, Tauschmann M, Maahs DM. ISPAD Clinical Practice Consensus Guidelines 2018: Assessment and management of hypoglycemia in children and adolescents with diabetes. Pediatr Diabetes 2018; 19 Suppl 27:178-192. [PMID: 29869358 DOI: 10.1111/pedi.12698] [Citation(s) in RCA: 139] [Impact Index Per Article: 23.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Accepted: 05/28/2018] [Indexed: 12/23/2022] Open
Affiliation(s)
- Mary B Abraham
- Department of Endocrinology and Diabetes, Perth Children's Hospital, Perth, Australia.,Children's Diabetes Centre, Telethon Kids Institute, The University of Western Australia, Perth, Australia.,Division of Paediatrics, Medical School, The University of Western Australia, Perth, Australia
| | - Timothy W Jones
- Department of Endocrinology and Diabetes, Perth Children's Hospital, Perth, Australia.,Children's Diabetes Centre, Telethon Kids Institute, The University of Western Australia, Perth, Australia.,Division of Paediatrics, Medical School, The University of Western Australia, Perth, Australia
| | - Diana Naranjo
- Division of Endocrinology, Department of Pediatrics, Stanford University School of Medicine, Stanford, California
| | - Beate Karges
- Division of Endocrinology and Diabetes, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | | | - Martin Tauschmann
- Wellcome Trust-MRC Institute of Metabolic Science, Department of Paediatrics, University of Cambridge, Cambridge, UK
| | - David M Maahs
- Division of Endocrinology, Department of Pediatrics, Stanford University School of Medicine, Stanford, California
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24
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Adolfsson P, Riddell MC, Taplin CE, Davis EA, Fournier PA, Annan F, Scaramuzza AE, Hasnani D, Hofer SE. ISPAD Clinical Practice Consensus Guidelines 2018: Exercise in children and adolescents with diabetes. Pediatr Diabetes 2018; 19 Suppl 27:205-226. [PMID: 30133095 DOI: 10.1111/pedi.12755] [Citation(s) in RCA: 111] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Accepted: 07/16/2018] [Indexed: 12/17/2022] Open
Affiliation(s)
- Peter Adolfsson
- Department of Pediatrics, Kungsbacka Hospital, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | | | - Craig E Taplin
- Division of Endocrinology and Diabetes, Department of Pediatrics, University of Washington, Seattle Children's Hospital, Seattle, Washington
| | - Elizabeth A Davis
- Department of Endocrinology and Diabetes, Princess Margaret Hospital; Telethon Kids Institute, University of Western Australia, Crawley, Australia
| | - Paul A Fournier
- School of Human Sciences, University of Western Australia, Perth, Australia
| | - Francesca Annan
- Children and Young People's Diabetes Service, University College London Hospitals NHS, Foundation Trust, London, UK
| | - Andrea E Scaramuzza
- Division of Pediatrics, ASST Cremona, "Ospedale Maggiore di Cremona", Cremona, Italy
| | - Dhruvi Hasnani
- Diacare-Diabetes Care and Hormone Clinic, Ahmedabad, India
| | - Sabine E Hofer
- Department of Pediatrics, Medical University of Innsbruck, Innsbruck, Austria
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25
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Chiang JL, Maahs DM, Garvey KC, Hood KK, Laffel LM, Weinzimer SA, Wolfsdorf JI, Schatz D. Type 1 Diabetes in Children and Adolescents: A Position Statement by the American Diabetes Association. Diabetes Care 2018; 41:2026-2044. [PMID: 30093549 PMCID: PMC6105320 DOI: 10.2337/dci18-0023] [Citation(s) in RCA: 240] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Affiliation(s)
- Jane L Chiang
- McKinsey & Company and Diasome Pharmaceuticals, Inc., Palo Alto, CA
| | - David M Maahs
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA
| | - Katharine C Garvey
- Division of Endocrinology, Boston Children's Hospital, Department of Pediatrics, Harvard Medical School, Boston, MA
| | - Korey K Hood
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA
| | - Lori M Laffel
- Joslin Diabetes Center, Harvard Medical School, Boston, MA
| | - Stuart A Weinzimer
- Pediatric Endocrinology & Diabetes, Yale School of Medicine, New Haven, CT
| | - Joseph I Wolfsdorf
- Division of Endocrinology, Boston Children's Hospital, Department of Pediatrics, Harvard Medical School, Boston, MA
| | - Desmond Schatz
- Division of Endocrinology, Department of Pediatrics, University of Florida, Gainesville, FL
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26
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Lucidi P, Porcellati F, Bolli GB, Fanelli CG. Prevention and Management of Severe Hypoglycemia and Hypoglycemia Unawareness: Incorporating Sensor Technology. Curr Diab Rep 2018; 18:83. [PMID: 30121746 DOI: 10.1007/s11892-018-1065-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
PURPOSE OF REVIEW In addition to assisting in achieving improved glucose control, continuous glucose monitoring (CGM) sensor technology may also aid in detection and prevention of hypoglycemia. In this paper, we report on the current scientific evidence on the effectiveness of this technology in the prevention of severe hypoglycemia and hypoglycemia unawareness. RECENT FINDINGS Recent studies have found that the integration of CGM with continuous subcutaneous insulin infusion (CSII) therapy, a system known as sensor-augmented pump (SAP) therapy, very significantly reduces the occurrence of these conditions by providing real-time glucose readings/trends and automatically suspending insulin infusion when glucose is low (LGS) or, even, before glucose is low but is predicted to soon be low (PLGS). Initial data indicate that even for patients with type 1 diabetes treated with multiple daily injections, real-time CGM alone has been found to reduce both severe hypoglycemia and hypoglycemia unawareness. Closed loop systems (artificial pancreas) comprised of CGM and CSII without patient intervention to adjust basal insulin, which automatically reduce, increase, and suspend insulin delivery, represent a potential new option that is moving toward becoming a reality in the near future. Sensor technology promises to continue to improve patients' lives not only by attaining glycemic control but also by reducing hypoglycemia, a goal best achieved in conjunction with structured individualized patient education.
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Affiliation(s)
- Paola Lucidi
- Department of Medicine, Section of Endocrinology and Metabolic Diseases, University di Perugia, Piazzale Gambuli, 1, 06132, Perugia, Italy
| | - Francesca Porcellati
- Department of Medicine, Section of Endocrinology and Metabolic Diseases, University di Perugia, Piazzale Gambuli, 1, 06132, Perugia, Italy
| | - Geremia B Bolli
- Department of Medicine, Section of Endocrinology and Metabolic Diseases, University di Perugia, Piazzale Gambuli, 1, 06132, Perugia, Italy
| | - Carmine G Fanelli
- Department of Medicine, Section of Endocrinology and Metabolic Diseases, University di Perugia, Piazzale Gambuli, 1, 06132, Perugia, Italy.
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Houlder SK, Yardley JE. Continuous Glucose Monitoring and Exercise in Type 1 Diabetes: Past, Present and Future. BIOSENSORS-BASEL 2018; 8:bios8030073. [PMID: 30081478 PMCID: PMC6165159 DOI: 10.3390/bios8030073] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Revised: 07/31/2018] [Accepted: 08/01/2018] [Indexed: 12/29/2022]
Abstract
Prior to the widespread use of continuous glucose monitoring (CGM), knowledge of the effects of exercise in type 1 diabetes (T1D) was limited to the exercise period, with few studies having the budget or capacity to monitor participants overnight. Recently, CGM has become a staple of many exercise studies, allowing researchers to observe the otherwise elusive late post-exercise period. We performed a strategic search using PubMed and Academic Search Complete. Studies were included if they involved adults with T1D performing exercise or physical activity, had a sample size greater than 5, and involved the use of CGM. Upon completion of the search protocol, 26 articles were reviewed for inclusion. While outcomes have been variable, CGM use in exercise studies has allowed the assessment of post-exercise (especially nocturnal) trends for different exercise modalities in individuals with T1D. Sensor accuracy is currently considered adequate for exercise, which has been crucial to developing closed-loop and artificial pancreas systems. Until these systems are perfected, CGM continues to provide information about late post-exercise responses, to assist T1D patients in managing their glucose, and to be useful as a tool for teaching individuals with T1D about exercise.
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Affiliation(s)
- Shaelyn K Houlder
- Augustana Faculty, University of Alberta, 4901-46 Ave, Camrose, AB T4V 2R3, Canada.
| | - Jane E Yardley
- Augustana Faculty, University of Alberta, 4901-46 Ave, Camrose, AB T4V 2R3, Canada.
- Alberta Diabetes Institute, 112 St. NW, Edmonton, AB T6G 2T9, Canada.
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Abraham MB, Nicholas JA, Smith GJ, Fairchild JM, King BR, Ambler GR, Cameron FJ, Davis EA, Jones TW. Reduction in Hypoglycemia With the Predictive Low-Glucose Management System: A Long-term Randomized Controlled Trial in Adolescents With Type 1 Diabetes. Diabetes Care 2018; 41:303-310. [PMID: 29191844 DOI: 10.2337/dc17-1604] [Citation(s) in RCA: 79] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Accepted: 10/31/2017] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Short-term studies with automated systems that suspend basal insulin when hypoglycemia is predicted have shown a reduction in hypoglycemia; however, efficacy and safety have not been established in long-term trials. RESEARCH DESIGN AND METHODS We conducted a 6-month, multicenter, randomized controlled trial in children and adolescents with type 1 diabetes using the Medtronic MiniMed 640G pump with Suspend before low (predictive low-glucose management [PLGM]) compared with sensor-augmented pump therapy (SAPT) alone. The primary outcome was percentage time in hypoglycemia with sensor glucose (SG) <3.5 mmol/L (63 mg/dL). RESULTS In an intent-to-treat analysis of 154 subjects, 74 subjects were randomized to SAPT and 80 subjects to PLGM. At baseline, the time with SG <3.5 mmol/L was 3.0% and 2.8% in the SAPT and PLGM groups, respectively. During the study, PLGM was associated with a reduction in hypoglycemia compared with SAPT (% time SG <3.5 mmol/L: SAPT vs. PLGM, 2.6 vs. 1.5, P < 0.0001). A similar effect was also noted in time with SG <3 mmol/L (P < 0.0001). This reduction was seen both during day and night (P < 0.0001). Hypoglycemic events (SG <3.5 mmol/L for >20 min) also declined with PLGM (SAPT vs. PLGM: events/patient-year 227 vs. 139, P < 0.001). There was no difference in glycated hemoglobin (HbA1c) at 6 months (SAPT 7.6 ± 1.0% vs. PLGM 7.8 ± 0.8%, P = 0.35). No change in quality of life measures was reported by participants/parents in either group. There were no PLGM-related serious adverse events. CONCLUSIONS In children and adolescents with type 1 diabetes, PLGM reduced hypoglycemia without deterioration in glycemic control.
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Affiliation(s)
- Mary B Abraham
- Children's Diabetes Centre, Telethon Kids Institute, The University of Western Australia, Perth, Australia.,Division of Paediatrics, Medical School, The University of Western Australia, Perth, Australia
| | - Jennifer A Nicholas
- Children's Diabetes Centre, Telethon Kids Institute, The University of Western Australia, Perth, Australia.,Department of Endocrinology and Diabetes, Princess Margaret Hospital for Children, Perth, Australia
| | - Grant J Smith
- Department of Endocrinology and Diabetes, Princess Margaret Hospital for Children, Perth, Australia
| | - Janice M Fairchild
- Department of Endocrinology and Diabetes, Women's and Children's Hospital, Adelaide, Australia
| | - Bruce R King
- Department of Endocrinology and Diabetes, John Hunter Children's Hospital, Newcastle, Australia
| | - Geoffrey R Ambler
- Institute of Endocrinology and Diabetes, The Children's Hospital at Westmead and Clinical School, The University of Sydney, Sydney, Australia
| | - Fergus J Cameron
- Department of Endocrinology and Diabetes, The Royal Children's Hospital, Melbourne, Australia
| | - Elizabeth A Davis
- Children's Diabetes Centre, Telethon Kids Institute, The University of Western Australia, Perth, Australia.,Division of Paediatrics, Medical School, The University of Western Australia, Perth, Australia
| | - Timothy W Jones
- Children's Diabetes Centre, Telethon Kids Institute, The University of Western Australia, Perth, Australia .,Division of Paediatrics, Medical School, The University of Western Australia, Perth, Australia
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Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes 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, please refer to the Standards of Care Introduction Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Yardley JE, Brockman NK, Bracken RM. Could Age, Sex and Physical Fitness Affect Blood Glucose Responses to Exercise in Type 1 Diabetes? Front Endocrinol (Lausanne) 2018; 9:674. [PMID: 30524371 PMCID: PMC6262398 DOI: 10.3389/fendo.2018.00674] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2018] [Accepted: 10/29/2018] [Indexed: 12/17/2022] Open
Abstract
Closed-loop systems for patients with type 1 diabetes are progressing rapidly. Despite these advances, current systems may struggle in dealing with the acute stress of exercise. Algorithms to predict exercise-induced blood glucose changes in current systems are mostly derived from data involving relatively young, fit males. Little is known about the magnitude of confounding variables such as sex, age, and fitness level-underlying, uncontrollable factors that might influence blood glucose control during exercise. Sex-related differences in hormonal responses to physical exercise exist in studies involving individuals without diabetes, and result in altered fuel metabolism during exercise. Increasing age is associated with attenuated catecholamine responses and lower carbohydrate oxidation during activity. Furthermore, higher fitness levels can alter hormonal and fuel selection responses to exercise. Compounding the limited research on these factors in the metabolic response to exercise in type 1 diabetes is a limited understanding of how these variables affect blood glucose levels during different types, timing and intensities of activity in individuals with type 1 diabetes (T1D). Thus, there is currently insufficient information to model a closed-loop system that can predict them accurately and consistently prevent hypoglycemia. Further, studies involving both sexes, along with a range of ages and fitness levels, are needed to create a closed-loop system that will be more precise in regulating blood glucose during exercise in a wide variety of individuals with T1D.
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Affiliation(s)
- Jane E. Yardley
- Augustana Faculty, University of Alberta, Camrose, AB, Canada
- Physical Activity and Diabetes Laboratory, Alberta Diabetes Institute, Edmonton, AB, Canada
- Faculty of Kinesiology, Sport and Recreation, University of Alberta, Edmonton, AB, Canada
- *Correspondence: Jane E. Yardley
| | | | - Richard M. Bracken
- Diabetes Research Unit and School of Sport and Exercise Science, Swansea University, Swansea, United Kingdom
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31
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Dovc K, Macedoni M, Bratina N, Lepej D, Nimri R, Atlas E, Muller I, Kordonouri O, Biester T, Danne T, Phillip M, Battelino T. Closed-loop glucose control in young people with type 1 diabetes during and after unannounced physical activity: a randomised controlled crossover trial. Diabetologia 2017; 60:2157-2167. [PMID: 28840263 PMCID: PMC6448906 DOI: 10.1007/s00125-017-4395-z] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2017] [Accepted: 06/27/2017] [Indexed: 11/21/2022]
Abstract
AIMS/HYPOTHESIS Hypoglycaemia during and after exercise remains a challenge. The present study evaluated the safety and efficacy of closed-loop insulin delivery during unannounced (to the closed-loop algorithm) afternoon physical activity and during the following night in young people with type 1 diabetes. METHODS A randomised, two-arm, open-label, in-hospital, crossover clinical trial was performed at a single site in Slovenia. The order was randomly determined using an automated web-based programme with randomly permuted blocks of four. Allocation assignment was not masked. Children and adolescents with type 1 diabetes who were experienced insulin pump users were eligible for the trial. During four separate in-hospital visits, the participants performed two unannounced exercise protocols: moderate intensity (55% of [Formula: see text]) and moderate intensity with integrated high-intensity sprints (55/80% of [Formula: see text]), using the same study device either for closed-loop or open-loop insulin delivery. We investigated glycaemic control during the exercise period and the following night. The closed-loop insulin delivery was applied from 15:00 h on the day of the exercise to 13:00 h on the following day. RESULTS Between 20 January and 16 June 2016, 20 eligible participants (9 female, mean age 14.2 ± 2.0 years, HbA1c 7.7 ± 0.6% [60.0 ± 6.6 mmol/mol]) were included in the trial and performed all trial-mandated activities. The median proportion of time spent in hypoglycaemia below 3.3 mmol/l was 0.00% for both treatment modalities (p = 0.7910). Use of the closed-loop insulin delivery system increased the proportion of time spent within the target glucose range of 3.9-10 mmol/l when compared with open-loop delivery: 84.1% (interquartile range 70.0-85.5) vs 68.7% (59.0-77.7), respectively (p = 0.0057), over the entire study period. This was achieved with significantly less insulin delivered via the closed-loop (p = 0.0123). CONCLUSIONS/INTERPRETATION Closed-loop insulin delivery was safe both during and after unannounced exercise protocols in the in-hospital environment, maintaining glucose values mostly within the target range without an increased risk of hypoglycaemia. TRIAL REGISTRATION Clinicaltrials.gov NCT02657083 FUNDING: University Medical Centre Ljubljana, Slovenian National Research Agency, and ISPAD Research Fellowship.
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Affiliation(s)
- Klemen Dovc
- Department of Paediatric Endocrinology, Diabetes and Metabolic Diseases, University Children's Hospital, University Medical Centre Ljubljana, Bohoriceva 20, SI-1000, Ljubljana, Slovenia
| | - Maddalena Macedoni
- Department of Paediatrics-Diabetes Service Studies, University of Milan, Ospedale dei Bambini Vittore Buzzi, Milan, Italy
| | - Natasa Bratina
- Department of Paediatric Endocrinology, Diabetes and Metabolic Diseases, University Children's Hospital, University Medical Centre Ljubljana, Bohoriceva 20, SI-1000, Ljubljana, Slovenia
| | - Dusanka Lepej
- Department of Pulmonology, University Children's Hospital, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Revital Nimri
- The Jesse and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Centre for Childhood Diabetes, Schneider Children's Medical Centre of Israel, Petah Tikva, Israel
| | - Eran Atlas
- DreaMed Diabetes Ltd, Petah Tikva, Israel
| | - Ido Muller
- DreaMed Diabetes Ltd, Petah Tikva, Israel
| | - Olga Kordonouri
- Diabetes Centre for Children and Adolescents, Kinder- und Jugendkrankenhaus Auf der Bult, Hannover, Germany
| | - Torben Biester
- Diabetes Centre for Children and Adolescents, Kinder- und Jugendkrankenhaus Auf der Bult, Hannover, Germany
| | - Thomas Danne
- Diabetes Centre for Children and Adolescents, Kinder- und Jugendkrankenhaus Auf der Bult, Hannover, Germany
| | - Moshe Phillip
- The Jesse and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Centre for Childhood Diabetes, Schneider Children's Medical Centre of Israel, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Tadej Battelino
- Department of Paediatric Endocrinology, Diabetes and Metabolic Diseases, University Children's Hospital, University Medical Centre Ljubljana, Bohoriceva 20, SI-1000, Ljubljana, Slovenia.
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
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Affiliation(s)
| | - Eyal Dassau
- 1 William Sansum Diabetes Center , Santa Barbara, California
- 2 Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University , Cambridge, Massachusetts
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Petruzelkova L, Pickova K, Sumnik Z, Soupal J, Obermannova B. Effectiveness of SmartGuard Technology in the Prevention of Nocturnal Hypoglycemia After Prolonged Physical Activity. Diabetes Technol Ther 2017; 19:299-304. [PMID: 28520532 DOI: 10.1089/dia.2016.0459] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BACKGROUND The prevention of postexercise nocturnal hypoglycemia after prolonged physical activity using sensor-augmented pump (SAP) therapy with predictive low-glucose management (PLGM) has not been well studied. We conducted a study at a pediatric diabetes camp to determine whether a SAP with PLGM reduces the frequency of nocturnal hypoglycemia after prolonged physical activity more effectively than a SAP with a carbohydrate intake algorithm. METHODS During a 1-week sport camp, 20 children (aged 10-13 years) with type 1 diabetes (T1D) managed by SAP therapy either with (n = 7) or without PLGM (n = 13) were studied. The hypoglycemia management strategy and the continuous glucose monitoring (CGM)/PLGM settings were standardized. The incidence, severity, and duration of hypoglycemia and carbohydrate intake were documented and compared. RESULTS The PLGM system was activated on 78% of all nights (once per night on average). No difference was found between the SAP and PLGM groups in the mean overnight glucose curve or mean morning glucose (7.8 ± 2 mmol/L vs. 7.4 ± 3 mmol/L). There was no difference in the frequency and severity of hypoglycemia. However, the SAP group consumed significantly more carbohydrates to prevent and treat hypoglycemia than those in the PLGM group; the values were 10 ± 2 and 1 ± 2 gS (P < 0.0001) in the SAP and PLGM groups, respectively. Moreover, the SAP group spent a significantly longer time in hypoglycemia (64 ± 2 min vs. 38 ± 2 min, P < 0.05). We observed a difference in the time distribution of nocturnal hypoglycemia (10 to 12 p.m. in the PLGM group and 3 to 7 a.m. in the SAP group, P < 0.05). CONCLUSION With PLGM system, euglycemia after prolonged physical activity was largely maintained with a minimal carbohydrate intake.
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Affiliation(s)
- Lenka Petruzelkova
- 1 Department of Pediatrics, University Hospital Motol and 2nd Faculty of Medicine, Charles University in Prague , Czech Republic
| | - Klara Pickova
- 1 Department of Pediatrics, University Hospital Motol and 2nd Faculty of Medicine, Charles University in Prague , Czech Republic
| | - Zdenek Sumnik
- 1 Department of Pediatrics, University Hospital Motol and 2nd Faculty of Medicine, Charles University in Prague , Czech Republic
| | - Jan Soupal
- 2 3rd Department of Internal Medicine, 1st Faculty of Medicine, Charles University in Prague , Czech Republic
| | - Barbora Obermannova
- 1 Department of Pediatrics, University Hospital Motol and 2nd Faculty of Medicine, Charles University in Prague , Czech Republic
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