101
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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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102
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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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103
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Affres H, Senat MV, Letourneau A, Deruelle P, Coustols-Valat M, Bouchghoul H, Bouyer J. Glyburide therapy for gestational diabetes: Glycaemic control, maternal hypoglycaemia, and treatment failure. DIABETES & METABOLISM 2020; 47:101210. [PMID: 33249198 DOI: 10.1016/j.diabet.2020.11.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 11/14/2020] [Accepted: 11/15/2020] [Indexed: 10/22/2022]
Abstract
AIMS The recommended first-line treatment for women with gestational diabetes mellitus (GDM) in the case of failure of diet is insulin. Recent results suggest that there is a potential role for glyburide therapy and highlight the need for better knowledge of glycaemic control with glyburide. The objective of this study was to describe and quantify in women with GDM the quality of glycaemic control, including the risk of maternal hypoglycaemia and of therapy failure. METHODS This is a secondary analysis of the French INDAO non-inferiority trial from 2012 to 2016, in which 890 women with GDM randomized to receive glyburide or insulin treatment were compared for perinatal outcomes. Blood glucose concentrations were assessed prospectively during pregnancy. Optimal glycaemic control was defined as less than 20% of blood glucose values exceeding the targets. RESULTS More than 50% of the women had optimal glycaemic control with glyburide, similar to that with insulin. Around 40% of the women had at least one episode of hypoglycaemia, more than with insulin. However, those hypoglycaemic episodes were mostly moderate and the rate of severe hypoglycaemia decreased significantly during the course of the trial. Failure of glyburide treatment (switch to insulin therapy) occurred in 18% of women and had few predictors. However, when failure occurred, glycaemic control was improved after switching to insulin. CONCLUSIONS Glyburide is an effective treatment for reaching glycaemic goals during pregnancy in women with GDM. The risk of maternal hypoglycaemia may be minimized by clinical practice experience. These findings could be taken into account in the management of GDM.
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Affiliation(s)
- Hélène Affres
- Assistance Publique-Hôpitaux de Paris, Department of Reproductive Endocrinology, Bicêtre Hospital, Le Kremlin-Bicêtre, France.
| | - Marie-Victoire Senat
- Assistance Publique-Hôpitaux de Paris, Department of Gynaecology-Obstetrics, Bicêtre Hospital, Le Kremlin-Bicêtre, France; Université Paris-Saclay, UVSQ, Inserm, CESP, 94807, Villejuif, France.
| | - Alexandra Letourneau
- Assistance Publique-Hôpitaux de Paris, Department of Gynaecology-Obstetrics, Antoine Beclere Hospital, Clamart, France.
| | - Philippe Deruelle
- EA 4489, Environnement périnatal et croissance, PRES Université Lille Nord de France, 59000, Lille, France; Department of Obstetrics, Strasbourg University Hospital, University of Strasbourg, Strasbourg, France.
| | - Magali Coustols-Valat
- Department of Endocrinology-Obstetric, Toulouse University Hospital, Toulouse, France.
| | - Hanane Bouchghoul
- Assistance Publique-Hôpitaux de Paris, Department of Gynaecology-Obstetrics, Bicêtre Hospital, Le Kremlin-Bicêtre, France; Université Paris-Saclay, UVSQ, Inserm, CESP, 94807, Villejuif, France.
| | - Jean Bouyer
- Université Paris-Saclay, UVSQ, Inserm, CESP, 94807, Villejuif, France.
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104
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Ibrahim M, Baker J, Cahn A, Eckel RH, El Sayed NA, Fischl AH, Gaede P, Leslie RD, Pieralice S, Tuccinardi D, Pozzilli P, Richelsen B, Roitman E, Standl E, Toledano Y, Tuomilehto J, Weber SL, Umpierrez GE. Hypoglycaemia and its management in primary care setting. Diabetes Metab Res Rev 2020; 36:e3332. [PMID: 32343474 DOI: 10.1002/dmrr.3332] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Revised: 03/30/2020] [Accepted: 04/20/2020] [Indexed: 12/14/2022]
Abstract
Hypoglycaemia is common in patients with type 1 diabetes and type 2 diabetes and constitutes a major limiting factor in achieving glycaemic control among people with diabetes. While hypoglycaemia is defined as a blood glucose level under 70 mg/dL (3.9 mmol/L), symptoms may occur at higher blood glucose levels in individuals with poor glycaemic control. Severe hypoglycaemia is defined as an episode requiring the assistance of another person to actively administer carbohydrate, glucagon, or take other corrective actions to assure neurologic recovery. Hypoglycaemia is the most important safety outcome in clinical studies of glucose lowering agents. The American Diabetes Association Standards of Medical Care recommends that a management protocol for hypoglycaemia should be designed and implemented by every hospital, along with a clear prevention and treatment plan. A tailored approach, using clinical and pathophysiologic disease stratification, can help individualize glycaemic goals and promote new therapies to improve quality of life of patients. Data from recent large clinical trials reported low risk of hypoglycaemic events with the use of newer anti-diabetic drugs. Increased hypoglycaemia risk is observed with the use of insulin and/or sulphonylureas. Vulnerable patients with T2D at dual risk of severe hypoglycaemia and cardiovascular outcomes show features of "frailty." Many of such patients may be better treated by the use of GLP-1 receptor agonists or SGLT2 inhibitors rather than insulin. Continuous glucose monitoring (CGM) should be considered for all individuals with increased risk for hypoglycaemia, impaired hypoglycaemia awareness, frequent nocturnal hypoglycaemia and with history of severe hypoglycaemia. Patients with impaired awareness of hypoglycaemia benefit from real-time CGM. The diabetes educator is an invaluable resource and can devote the time needed to thoroughly educate the individual to reduce the risk of hypoglycaemia and integrate the information within the entire construct of diabetes self-management. Conversations about hypoglycaemia facilitated by a healthcare professional may reduce the burden and fear of hypoglycaemia among patients with diabetes and their family members. Optimizing insulin doses and carbohydrate intake, in addition to a short warm up before or after the physical activity sessions may help avoiding hypoglycaemia. Several therapeutic considerations are important to reduce hypoglycaemia risk during pregnancy including administration of rapid-acting insulin analogues rather than human insulin, pre-conception initiation of insulin analogues, and immediate postpartum insulin dose reduction.
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Affiliation(s)
| | - Jason Baker
- Weill Cornell Medicine, New York, New York, USA
| | - Avivit Cahn
- The Diabetes Unit & Endocrinology and Metabolism Unit, Hadassah Hebrew University Hospital, Jerusalem, Israel
| | - Robert H Eckel
- University of Colorado Denver Anschutz Medical Campus and University of Colorado Hospital, Denver, Colorado, USA
| | - Nuha Ali El Sayed
- Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Amy Hess Fischl
- University of Chicago Kovler Diabetes Center, Chicago, Illinois, USA
| | - Peter Gaede
- Department of Cardiology and Endocrinology, Slagelse Hospital, Slagelse, Denmark
| | - R David Leslie
- Blizard Institute, Queen Mary, University of London, London, UK
- Centre of Immunobiology, Barts and the London School of Medicine, Queen Mary, University of London, London, UK
| | - Silvia Pieralice
- Unit of Endocrinology and Diabetes, Campus Bio-Medico University, Rome, Italy
| | - Dario Tuccinardi
- Unit of Endocrinology and Diabetes, Campus Bio-Medico University, Rome, Italy
| | - Paolo Pozzilli
- Centre of Immunobiology, Barts and the London School of Medicine, Queen Mary, University of London, London, UK
- Unit of Endocrinology and Diabetes, Campus Bio-Medico University, Rome, Italy
| | - Bjørn Richelsen
- Steno Diabetes Center Aarhus and Department of Endocrinology, Aarhus University Hospital, Aarhus, Denmark
| | - Eytan Roitman
- Institute of Diabetes, Technology and Research, Clalit Health Services, Herzelia, Israel
| | - Eberhard Standl
- Forschergruppe Diabetes eV at Munich Helmholtz Centre, Munich, Germany
| | - Yoel Toledano
- Division of Maternal Fetal Medicine, Helen Schneider Women's Hospital, Rabin Medical Center, Petah Tikva, Israel
| | | | - Sandra L Weber
- Greenville Health System, University of South Carolina School of Medicine-Greenville, Greenville, South Carolina, USA
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105
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Nosova EV, O'Malley G, Dassau E, Levy CJ. Leveraging technology for the treatment of type 1 diabetes in pregnancy: A review of past, current, and future therapeutic tools. J Diabetes 2020; 12:714-732. [PMID: 32125763 DOI: 10.1111/1753-0407.13030] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 03/01/2020] [Indexed: 12/16/2022] Open
Abstract
The significant risks associated with pregnancies complicated by type 1 diabetes (T1D) were first recognized in the medical literature in the mid-twentieth century. Stringent glycemic control with hemoglobin A1c (HbA1c) values ideally less than 6% has been shown to improve maternal and fetal outcomes. The management options for pregnant women with T1D in the modern era include a variety of technologies to support self-care. Although self-monitoring of blood glucose (SMBG) and multiple daily injections (MDI) are often the recommended management options during pregnancy, many people with T1D utilize a variety of different technologies, including continuous glucose monitoring (CGM), continuous subcutaneous insulin infusion (CSII), and CSII including automated delivery or suspension algorithms. These systems have yielded invaluable diagnostic and therapeutic capabilities and have the potential to benefit this understudied higher-risk group. A recent prospective, multicenter study evaluating pregnant patients with T1D revealed that CGM significantly improves maternal glycemic parameters, is associated with fewer adverse neonatal outcomes, and minimizes burden. Outcome data for CSII, which is approved for use in pregnancy and has been utilized for several decades, remain mixed. Current evidence, although limited, for commercially available and emerging technologies for the management of T1D in pregnancy holds promise for improving patient and fetal outcomes.
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Affiliation(s)
- Emily V Nosova
- Division of Endocrinology, Diabetes and Bone Diseases, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Grenye O'Malley
- Division of Endocrinology, Diabetes and Bone Diseases, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Eyal Dassau
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
| | - Carol J Levy
- Division of Endocrinology, Diabetes and Bone Diseases, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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106
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Chan AJ, Halperin IJ. Beyond Glycated Hemoglobin: Harnessing Data From Sensor-Based Technology to Improve Glucose Variability, Time in Range and Hypoglycemia in Adult Patients With Type 1 Diabetes. Can J Diabetes 2020; 45:269-272.e3. [PMID: 33046398 DOI: 10.1016/j.jcjd.2020.08.103] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 07/25/2020] [Accepted: 08/21/2020] [Indexed: 12/19/2022]
Affiliation(s)
- Alvita J Chan
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
| | - Ilana J Halperin
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada; Division of Endocrinology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
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107
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Abstract
In einer kurzen Übersicht werden die aktuellen Erkenntnisse zur Coronaviruserkrankung 2019 (COVID-19) bei Schwangeren dargestellt. Selbstmonitoring der kapillaren Blutglukosewerte ist derzeit noch der Goldstandard bei Schwangeren. Bei Verwendung subkutaner Glukosesensoren sollte die „time in range“ (TIR) >70 % in dem Bereich 63–140 mg/dl (3,5–7,8 mmol/l) so früh wie möglich erreicht werden. Bei präexistentem Diabetes besteht bei Kindern mit einer Wachstumsrestriktion ein hohes Risiko für Totgeburten. Mangels nachgewiesener Verbesserung relevanter Endpunkte sollten pharmakologische Therapien bei Schwangeren mit frühem Gestationsdiabetes <24 + 0 Schwangerschaftswochen besonders kritisch abgewogen werden. Präkonzeptionell adipöse Frauen sollten bis zur Geburt nicht mehr als 6 kg zunehmen. Nach bariatrisch-metabolischer Chirurgie bestehen neben Vorteilen für die Mütter erhöhte Risiken für Neugeborene, z. B. eine erhöhte Rate an „small for gestational age“ nach Roux-en-Y-Magenbypass.
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Affiliation(s)
- Helmut Kleinwechter
- c/o diabetologikum kiel, Diabetes-Schwerpunktpraxis und Schulungszentrum, Alter Markt 11, 24103 Kiel, Deutschland
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108
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Abdulrahman M, Tabatabaei Z, Maqbool S, Hafidh K, Husain ZS, Al Raeesi FH, Abo Sada NM, Akbar M, Hubaishi NM, Tahlak MAR, Carrick FR. A review of gestational diabetes mellitus management, risk factors, maternal and neonatal outcomes in two major maternity hospitals in the United Arab Emirates: A report from Dubai. J Neonatal Perinatal Med 2020; 13:555-562. [PMID: 32568122 DOI: 10.3233/npm-200410] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVES This study was conducted in order to explore and analyze the status of gestational diabetes (GDM) amongst pregnant women in Dubai, United Arab Emirates (UAE); a country with high prevalence of diabetes. We aimed to describe GDM-associated risk factors and clinical outcomes of pregnant women and their neonates. Our objective was to contribute to the broader literature on reproductive health disparities and to inform efforts to improve GDM care at our region. METHODS Chart review of case records were used to collect data on both maternal and neonatal parameters and outcomes during the specified study period from two main maternity hospitals in Dubai. RESULTS UAE national women with GDM were more prone to be obese or overweight compared to non-UAE women (p < 0.0001, and p < 0.0001 respectively). In addition, UAE national women with GDM had higher history of GDM in previous pregnancies (p < 0.0001) and more family history of diabetes (p < 0.0001).The neonate admission into NICU was significantly associated with cesarean section (p < 0.0001), twins (p < 0.0001), preeclampsia (p = 0.02), receiving MgSO4 (p = 0.02), birth weight less than 2500 g (p < 0.0001), low Apgar scores (p < 0.0001), baby with congenital anomaly (p < 0.0001), and neonatal hypoglycemia (p < 0.0001). CONCLUSIONS Our results demonstrate that pregnant women with GDM who are UAE nationals and have higher parity need to be under special attention during their pregnancy in order to improve both maternal and neonatal outcomes.
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Affiliation(s)
- Mahera Abdulrahman
- Health Informatics & Smart Health Department, Dubai, United Arab Emirates
| | | | - Sadia Maqbool
- Latifa Hospital, Dubai Health Authority, Dubai, United Arab Emirates
| | - Khadija Hafidh
- Rashid Hospital, Dubai Health Authority, Dubai, United Arab Emirates
| | - Zahra Sm Husain
- Dubai Hospital, Dubai Health Authority, Dubai, United Arab Emirates
| | | | | | - Madiha Akbar
- Latifa Hospital, Dubai Health Authority, Dubai, United Arab Emirates
| | | | | | - Frederick Robert Carrick
- University of Central Florida College of Medicine, Orlando, FL USA.,Adjunct Professor MGH Institute for Health Professions, Boston, MA, USA.,Centre for Mental Health Research in Association with University of Cambridge, Cambridge UK
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109
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Scott EM, Feig DS, Murphy HR, Law GR. Continuous Glucose Monitoring in Pregnancy: Importance of Analyzing Temporal Profiles to Understand Clinical Outcomes. Diabetes Care 2020; 43:1178-1184. [PMID: 32209645 PMCID: PMC7245356 DOI: 10.2337/dc19-2527] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Accepted: 02/28/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To determine if temporal glucose profiles differed between 1) women who were randomized to real-time continuous glucose monitoring (RT-CGM) or self-monitored blood glucose (SMBG), 2) women who used insulin pumps or multiple daily insulin injections (MDIs), and 3) women whose infants were born large for gestational age (LGA) or not, by assessing CGM data obtained from the Continuous Glucose Monitoring in Women With Type 1 Diabetes in Pregnancy Trial (CONCEPTT). RESEARCH DESIGN AND METHODS Standard summary metrics and functional data analysis (FDA) were applied to CGM data from the CONCEPTT trial (RT-CGM, n = 100; SMBG, n = 100) taken at baseline and at 24- and 34-weeks' gestation. Multivariable regression analysis determined if temporal differences in 24-h glucose profiles occurred between comparators in each of the three groups. RESULTS FDA revealed that women using RT-CGM had significantly lower glucose (0.4-0.8 mmol/L [7-14 mg/dL]) for 7 h/day (0800 h to 1200 h and 1600 h to 1900 h) compared with those with SMBG. Women using pumps had significantly higher glucose (0.4-0.9 mmol/L [7-16 mg/dL]) for 12 h/day (0300 h to 0600 h, 1300 h to 1800 h, and 2030 h to 0030 h) at 24 weeks with no difference at 34 weeks compared with MDI. Women who had an LGA infant ran a significantly higher glucose by 0.4-0.7 mmol/L (7-13 mg/dL) for 4.5 h/day at baseline, by 0.4-0.9 mmol/L (7-16 mg/dL) for 16 h/day at 24 weeks, and by 0.4-0.7 mmol/L (7-13 mg/dL) for 14 h/day at 34 weeks. CONCLUSIONS FDA of temporal glucose profiles gives important information about differences in glucose control and its timing, which are undetectable by standard summary metrics. Women using RT-CGM were able to achieve better daytime glucose control, reducing fetal exposure to maternal glucose.
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Affiliation(s)
- Eleanor M Scott
- Department of Clinical and Population Science, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, U.K.
| | - Denice S Feig
- Department of Medicine, Sinai Health System, Toronto, Ontario, Canada
| | - Helen R Murphy
- Division of Maternal Health, St Thomas' Hospital, King's College London, London, U.K
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110
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Sola-Gazagnes A, Faucher P, Jacqueminet S, Ciangura C, Dubois-Laforgue D, Mosnier-Pudar H, Roussel R, Larger E. Disagreement between capillary blood glucose and flash glucose monitoring sensor can lead to inadequate treatment adjustments during pregnancy. DIABETES & METABOLISM 2020; 46:158-163. [DOI: 10.1016/j.diabet.2019.08.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Revised: 08/02/2019] [Accepted: 08/04/2019] [Indexed: 12/15/2022]
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111
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Lu J, Ma X, Zhang L, Mo Y, Lu W, Zhu W, Bao Y, Jia W, Zhou J. Glycemic variability modifies the relationship between time in range and hemoglobin A1c estimated from continuous glucose monitoring: A preliminary study. Diabetes Res Clin Pract 2020; 161:108032. [PMID: 32006646 DOI: 10.1016/j.diabres.2020.108032] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2019] [Revised: 01/11/2020] [Accepted: 01/27/2020] [Indexed: 11/18/2022]
Abstract
AIMS Although there is a linear relationship between time in range (TIR) and hemoglobin A1c (HbA1c), a great variability of calculated TIR values for a given HbA1c, and vice versa, has been reported. Whether glycemic variability accounts for part of this variability remains to be investigated. METHODS The data of continuous glucose monitoring (CGM) from 2559 patients with type 2 diabetes was analyzed. Glycemic variability was assessed by glucose coefficient of variation (CV), and estimated HbA1C (eHbA1c) was calculated from mean sensor glucose. RESULTS A strong correlation between TIR and eHbA1c (r = -0.908) was observed. The slopes of regression lines fitted to TIR values as a function of eHbA1c differed significantly for individuals with varying degrees of CV, especially when patients were stratified as stable (CV < 36%) or unstable (CV ≥ 36%) glucose levels. For patients in the high- or low-range of eHbA1c, there was a high variability of TIR values according to CV. CONCLUSIONS Glycemic variability significantly mediates the relationship between TIR and eHbA1c, and should be taken into consideration when setting an individualized target of TIR.
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Affiliation(s)
- Jingyi Lu
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
| | - Xiaojing Ma
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
| | - Lei Zhang
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
| | - Yifei Mo
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
| | - Wei Lu
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
| | - Wei Zhu
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
| | - Yuqian Bao
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
| | - Weiping Jia
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China
| | - Jian Zhou
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China.
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112
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Affiliation(s)
- Jennifer M Yamamoto
- Departments of Medicine and Obstetrics and Gynecology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Alberta Children's Hospital Research Institute, Calgary, Canada
| | - Helen R Murphy
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Women's Health Academic Centre, Division of Women's and Children's Health, King's College London, London, UK
- Norwich Medical School, Floor 2, Bob Champion Research and Education Building, James Watson Road, University of East Anglia, Norwich Research Park, Norwich, UK
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113
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Abstract
Recent upswings in the use of continuous glucose monitoring (CGM) technologies have given people with diabetes and healthcare professionals unprecedented access to a range of new indicators of glucose control. Some of these metrics are useful research tools and others have been welcomed by patient groups for providing insights into the quality of glucose control not captured by conventional laboratory testing. Among the latter, time in range (TIR) is an intuitive metric that denotes the proportion of time that a person's glucose level is within a desired target range (usually 3.9-10.0 mmol/l [3.5-7.8 mmol/l in pregnancy]). For individuals choosing to use CGM technology, TIR is now often part of the expected conversation between patient and healthcare professional, and consensus recommendations have recently been produced to facilitate the adoption of standardised TIR targets. At a regulatory level, emerging evidence linking TIR to risk of complications may see TIR being more widely accepted as a valid endpoint in future clinical trials. However, given the skewed distribution of possible glucose values outside of the target range, TIR (on its own) is a poor indicator of the frequency or severity of hypoglycaemia. Here, the state-of-the-art linking TIR with complications risk in diabetes and the inverse association between TIR and HbA1c are reviewed. Moreover, the importance of including the amount and severity of time below range (TBR) in any discussions around TIR and, by inference, time above range (TAR) is discussed. This review also summarises recent guidance in setting 'time in ranges' goals for individuals with diabetes who wish to make use of these metrics. For most people with type 1 or type 2 diabetes, a TIR >70%, a TBR <3.9 mmol/l of <4%, and a TBR <3.0 mmol/l of <1% are recommended targets, with less stringent targets for older or high-risk individuals and for those under 25 years of age. As always though, glycaemic targets should be individualised and rarely is that more applicable than in the personal use of CGM and the data it provides.
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Affiliation(s)
- Andrew Advani
- Keenan Research Centre for Biomedical Science and Li Ka Shing Knowledge Institute, St Michael's Hospital, 209 Victoria Street, Toronto, ON, M5B 1T8, Canada.
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114
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Gabbay MAL, Rodacki M, Calliari LE, Vianna AGD, Krakauer M, Pinto MS, Reis JS, Puñales M, Miranda LG, Ramalho AC, Franco DR, Pedrosa HPC. Time in range: a new parameter to evaluate blood glucose control in patients with diabetes. Diabetol Metab Syndr 2020; 12:22. [PMID: 32190124 PMCID: PMC7076978 DOI: 10.1186/s13098-020-00529-z] [Citation(s) in RCA: 60] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Accepted: 03/07/2020] [Indexed: 01/17/2023] Open
Abstract
The International Consensus in Time in Range (TIR) was recently released and defined the concept of the time spent in the target range between 70 and 180 mg/dL while reducing time in hypoglycemia, for patients using Continuous Glucose Monitoring (CGM). TIR was validated as an outcome measures for clinical Trials complementing other components of glycemic control like Blood glucose and HbA1c. The challenge is to implement this practice more widely in countries with a limited health public and private budget as it occurs in Brazil. Could CGM be used intermittently? Could self-monitoring blood glucose obtained at different times of the day, with the amount of data high enough be used? More studies should be done, especially cost-effective studies to help understand the possibility of having sensors and include TIR evaluation in clinical practice nationwide.
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Affiliation(s)
| | - Melanie Rodacki
- Nutrology and Diabetes Section, Internal Medicine Department Federal University of Rio de Janeiro–UFRJ, Rio de Janeiro, Brazil
| | - Luis Eduardo Calliari
- Pediatric Endocrinology Unit, Pediatric Department, Santa Casa de São Paulo School of Medical Sciences, São Paulo, Brazil
| | - Andre Gustavo Daher Vianna
- Curitiba Diabetes Center, Department of Endocrine Diseases, Hospital Nossa Senhora das Graças, Curitiba, Brazil
| | | | - Mauro Scharf Pinto
- Curitiba Diabetes Center, Department of Endocrine Diseases, Hospital Nossa Senhora das Graças, Curitiba, Brazil
| | | | - Marcia Puñales
- Institute of Child with Diabetes, Conceição Children Hospital, Conceição Hospitalar Group, Porto Alegre, Brazil
| | - Leonardo Garcia Miranda
- Unit of Endocrinology and Research Center, Regional Hospital of Taguatinga, Secretariat of Health of the Federal District, Brasilia, Brazil
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115
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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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116
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Battelino T, Danne T, Bergenstal RM, Amiel SA, Beck R, Biester T, Bosi E, Buckingham BA, Cefalu WT, Close KL, Cobelli C, Dassau E, DeVries JH, Donaghue KC, Dovc K, Doyle FJ, Garg S, Grunberger G, Heller S, Heinemann L, Hirsch IB, Hovorka R, Jia W, Kordonouri O, Kovatchev B, Kowalski A, Laffel L, Levine B, Mayorov A, Mathieu C, Murphy HR, Nimri R, Nørgaard K, Parkin CG, Renard E, Rodbard D, Saboo B, Schatz D, Stoner K, Urakami T, Weinzimer SA, Phillip M. Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range. Diabetes Care 2019. [PMID: 31177185 DOI: 10.2337/dci19‐0028] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Improvements in sensor accuracy, greater convenience and ease of use, and expanding reimbursement have led to growing adoption of continuous glucose monitoring (CGM). However, successful utilization of CGM technology in routine clinical practice remains relatively low. This may be due in part to the lack of clear and agreed-upon glycemic targets that both diabetes teams and people with diabetes can work toward. Although unified recommendations for use of key CGM metrics have been established in three separate peer-reviewed articles, formal adoption by diabetes professional organizations and guidance in the practical application of these metrics in clinical practice have been lacking. In February 2019, the Advanced Technologies & Treatments for Diabetes (ATTD) Congress convened an international panel of physicians, researchers, and individuals with diabetes who are expert in CGM technologies to address this issue. This article summarizes the ATTD consensus recommendations for relevant aspects of CGM data utilization and reporting among the various diabetes populations.
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Affiliation(s)
- Tadej Battelino
- Department of Pediatric Endocrinology, Diabetes and Metabolism, University Children's Hospital, University Medical Centre Ljubljana, and Faculty of Medicine, University of Ljubljana, Slovenia
| | - Thomas Danne
- Diabetes Centre for Children and Adolescents, Kinder- und Jugendkrankenhaus Auf der Bult, Hannover, Germany
| | | | | | - Roy Beck
- Jaeb Center for Health Research, Tampa, FL
| | - Torben Biester
- Diabetes Centre for Children and Adolescents, Kinder- und Jugendkrankenhaus Auf der Bult, Hannover, Germany
| | - Emanuele Bosi
- Diabetes Research Institute, IRCCS San Raffaele Hospital, Vita-Salute San Raffaele University, Milan, Italy
| | - Bruce A Buckingham
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford Medical Center, Stanford, CA
| | | | - Kelly L Close
- Close Concerns and The diaTribe Foundation, San Francisco, CA
| | - Claudio Cobelli
- Department of Information Engineering, University of Padova, Padua, Italy
| | - Eyal Dassau
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA
| | - J Hans DeVries
- Profil, Neuss, Germany
- Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Kim C Donaghue
- Children's Hospital at Westmead, University of Sydney, Sydney, Australia
| | - Klemen Dovc
- Department of Pediatric Endocrinology, Diabetes and Metabolism, University Children's Hospital, University Medical Centre Ljubljana, and Faculty of Medicine, University of Ljubljana, Slovenia
| | - Francis J Doyle
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA
| | - Satish Garg
- University of Colorado Denver and Barbara Davis Center for Diabetes, Aurora, CO
| | | | - Simon Heller
- Academic Unit of Diabetes, Endocrinology and Metabolism, University of Sheffield, Sheffield, U.K
| | | | - Irl B Hirsch
- Division of Metabolism, Endocrinology and Nutrition, Department of Medicine, University of Washington School of Medicine, Seattle, WA
| | - Roman Hovorka
- Wellcome Trust-MRC Institute of Metabolic Science, and Department of Paediatrics, University of Cambridge, Cambridge, U.K
| | - Weiping Jia
- Department of Endocrinology & Metabolism, Shanghai Clinical Center of Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Olga Kordonouri
- Diabetes Centre for Children and Adolescents, Kinder- und Jugendkrankenhaus Auf der Bult, Hannover, Germany
| | - Boris Kovatchev
- Center for Diabetes Technology, University of Virginia, Charlottesville, VA
| | | | - Lori Laffel
- Pediatric, Adolescent and Young Adult Section and Section on Clinical, Behavioral and Outcomes Research, Joslin Diabetes Center, Harvard Medical School, Boston, MA
| | - Brian Levine
- Close Concerns and The diaTribe Foundation, San Francisco, CA
| | | | - Chantal Mathieu
- Clinical and Experimental Endocrinology, KU Leuven, Leuven, Belgium
| | - Helen R Murphy
- Norwich Medical School, University of East Anglia, Norwich, U.K
| | - Revital Nimri
- Jesse Z and Sara Lea Shafer Institute of Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
| | | | | | - Eric Renard
- Department of Endocrinology, Diabetes, and Nutrition, Montpellier University Hospital; Institute of Functional Genomics, University of Montpellier; and INSERM Clinical Investigation Centre, Montpellier, France
| | | | | | - Desmond Schatz
- Pediatric Endocrinology, University of Florida, Gainesville, FL
| | | | - Tatsuiko Urakami
- Department of Pediatrics, Nihon University School of Medicine, Tokyo, Japan
| | - Stuart A Weinzimer
- Department of Pediatrics, Yale University School of Medicine, New Haven, CT
| | - Moshe Phillip
- Jesse Z and Sara Lea Shafer Institute of Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
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117
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Battelino T, Danne T, Bergenstal RM, Amiel SA, Beck R, Biester T, Bosi E, Buckingham BA, Cefalu WT, Close KL, Cobelli C, Dassau E, DeVries JH, Donaghue KC, Dovc K, Doyle FJ, Garg S, Grunberger G, Heller S, Heinemann L, Hirsch IB, Hovorka R, Jia W, Kordonouri O, Kovatchev B, Kowalski A, Laffel L, Levine B, Mayorov A, Mathieu C, Murphy HR, Nimri R, Nørgaard K, Parkin CG, Renard E, Rodbard D, Saboo B, Schatz D, Stoner K, Urakami T, Weinzimer SA, Phillip M. Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range. Diabetes Care 2019; 42:1593-1603. [PMID: 31177185 PMCID: PMC6973648 DOI: 10.2337/dci19-0028] [Citation(s) in RCA: 1922] [Impact Index Per Article: 384.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Improvements in sensor accuracy, greater convenience and ease of use, and expanding reimbursement have led to growing adoption of continuous glucose monitoring (CGM). However, successful utilization of CGM technology in routine clinical practice remains relatively low. This may be due in part to the lack of clear and agreed-upon glycemic targets that both diabetes teams and people with diabetes can work toward. Although unified recommendations for use of key CGM metrics have been established in three separate peer-reviewed articles, formal adoption by diabetes professional organizations and guidance in the practical application of these metrics in clinical practice have been lacking. In February 2019, the Advanced Technologies & Treatments for Diabetes (ATTD) Congress convened an international panel of physicians, researchers, and individuals with diabetes who are expert in CGM technologies to address this issue. This article summarizes the ATTD consensus recommendations for relevant aspects of CGM data utilization and reporting among the various diabetes populations.
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Affiliation(s)
- Tadej Battelino
- Department of Pediatric Endocrinology, Diabetes and Metabolism, University Children's Hospital, University Medical Centre Ljubljana, and Faculty of Medicine, University of Ljubljana, Slovenia
| | - Thomas Danne
- Diabetes Centre for Children and Adolescents, Kinder- und Jugendkrankenhaus Auf der Bult, Hannover, Germany
| | | | | | - Roy Beck
- Jaeb Center for Health Research, Tampa, FL
| | - Torben Biester
- Diabetes Centre for Children and Adolescents, Kinder- und Jugendkrankenhaus Auf der Bult, Hannover, Germany
| | - Emanuele Bosi
- Diabetes Research Institute, IRCCS San Raffaele Hospital, Vita-Salute San Raffaele University, Milan, Italy
| | - Bruce A Buckingham
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford Medical Center, Stanford, CA
| | | | - Kelly L Close
- Close Concerns and The diaTribe Foundation, San Francisco, CA
| | - Claudio Cobelli
- Department of Information Engineering, University of Padova, Padua, Italy
| | - Eyal Dassau
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA
| | - J Hans DeVries
- Profil, Neuss, Germany.,Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Kim C Donaghue
- Children's Hospital at Westmead, University of Sydney, Sydney, Australia
| | - Klemen Dovc
- Department of Pediatric Endocrinology, Diabetes and Metabolism, University Children's Hospital, University Medical Centre Ljubljana, and Faculty of Medicine, University of Ljubljana, Slovenia
| | - Francis J Doyle
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA
| | - Satish Garg
- University of Colorado Denver and Barbara Davis Center for Diabetes, Aurora, CO
| | | | - Simon Heller
- Academic Unit of Diabetes, Endocrinology and Metabolism, University of Sheffield, Sheffield, U.K
| | | | - Irl B Hirsch
- Division of Metabolism, Endocrinology and Nutrition, Department of Medicine, University of Washington School of Medicine, Seattle, WA
| | - Roman Hovorka
- Wellcome Trust-MRC Institute of Metabolic Science, and Department of Paediatrics, University of Cambridge, Cambridge, U.K
| | - Weiping Jia
- Department of Endocrinology & Metabolism, Shanghai Clinical Center of Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Olga Kordonouri
- Diabetes Centre for Children and Adolescents, Kinder- und Jugendkrankenhaus Auf der Bult, Hannover, Germany
| | - Boris Kovatchev
- Center for Diabetes Technology, University of Virginia, Charlottesville, VA
| | | | - Lori Laffel
- Pediatric, Adolescent and Young Adult Section and Section on Clinical, Behavioral and Outcomes Research, Joslin Diabetes Center, Harvard Medical School, Boston, MA
| | - Brian Levine
- Close Concerns and The diaTribe Foundation, San Francisco, CA
| | | | - Chantal Mathieu
- Clinical and Experimental Endocrinology, KU Leuven, Leuven, Belgium
| | - Helen R Murphy
- Norwich Medical School, University of East Anglia, Norwich, U.K
| | - Revital Nimri
- Jesse Z and Sara Lea Shafer Institute of Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
| | | | | | - Eric Renard
- Department of Endocrinology, Diabetes, and Nutrition, Montpellier University Hospital; Institute of Functional Genomics, University of Montpellier; and INSERM Clinical Investigation Centre, Montpellier, France
| | | | | | - Desmond Schatz
- Pediatric Endocrinology, University of Florida, Gainesville, FL
| | | | - Tatsuiko Urakami
- Department of Pediatrics, Nihon University School of Medicine, Tokyo, Japan
| | - Stuart A Weinzimer
- Department of Pediatrics, Yale University School of Medicine, New Haven, CT
| | - Moshe Phillip
- Jesse Z and Sara Lea Shafer Institute of Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
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118
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Murphy HR. Continuous glucose monitoring targets in type 1 diabetes pregnancy: every 5% time in range matters. Diabetologia 2019; 62:1123-1128. [PMID: 31161344 PMCID: PMC6560014 DOI: 10.1007/s00125-019-4904-3] [Citation(s) in RCA: 77] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Accepted: 04/17/2019] [Indexed: 12/18/2022]
Abstract
With randomised trial data confirming that continuous glucose monitoring (CGM) is associated with improvements in maternal glucose control and neonatal health outcomes, CGM is increasingly used in antenatal care. Across pregnancy, the ambition is to increase the CGM time in range (TIR), while reducing time above range (TAR), time below range (TBR) and glycaemic variability measures. Pregnant women with type 1 diabetes currently spend, on average, 50% (12 h), 55% (13 h) and 60% (14 h) in the target range of 3.5-7.8 mmol/l (63-140 mg/dl) during the first, second and third trimesters, respectively. Hyperglycaemia, as measured by TAR, reduces from 40% (10 h) to 33% (8 h) during the first to third trimester. A TIR of >70% (16 h, 48 min) and a TAR of <25% (6 h) is achieved only in the final weeks of pregnancy. CGM TBR data are particularly sensor dependent, but regardless of the threshold used for individual patients, spending ≥4% of time (1 h) below 3.5 mmol/l or ≥1% of time (15 min) below 3.0 mmol/l is not recommended. While maternal hyperglycaemia is a well-established risk factor for obstetric and neonatal complications, CGM-based risk factors are emerging. A 5% lower TIR and 5% higher TAR during the second and third trimesters is associated with increased risk of large for gestational age infants, neonatal hypoglycaemia and neonatal intensive care unit admissions. For optimal neonatal outcomes, women and clinicians should aim for a TIR of >70% (16 h, 48 min) and a TAR of <25% (6 h), from as early as possible during pregnancy.
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Affiliation(s)
- Helen R Murphy
- Norwich Medical School, University of East Anglia, Floor 2, Bob Champion Research and Education Building, Norwich, NR4 7UQ, UK.
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