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      International Consensus on Use of Continuous Glucose Monitoring

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          Abstract

          Measurement of glycated hemoglobin (HbA 1c) has been the traditional method for assessing glycemic control. However, it does not reflect intra- and interday glycemic excursions that may lead to acute events (such as hypoglycemia) or postprandial hyperglycemia, which have been linked to both microvascular and macrovascular complications. Continuous glucose monitoring (CGM), either from real-time use (rtCGM) or intermittently viewed (iCGM), addresses many of the limitations inherent in HbA 1c testing and self-monitoring of blood glucose. Although both provide the means to move beyond the HbA 1c measurement as the sole marker of glycemic control, standardized metrics for analyzing CGM data are lacking. Moreover, clear criteria for matching people with diabetes to the most appropriate glucose monitoring methodologies, as well as standardized advice about how best to use the new information they provide, have yet to be established. In February 2017, 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 these issues. This article summarizes the ATTD consensus recommendations and represents the current understanding of how CGM results can affect outcomes.

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          Most cited references60

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          Frequency of severe hypoglycemia in patients with type I diabetes with impaired awareness of hypoglycemia.

          To determine the frequency of hypoglycemia in patients with type I diabetes and impaired awareness of hypoglycemia by prospective assessment. A prospective study was undertaken for 12 months in 60 patients with type I diabetes: 29 had impaired awareness of hypoglycemia and 31 retained normal awareness of hypoglycemia. The two groups of patients were matched for age, age at onset of diabetes, duration of diabetes, and glycemic control. Episodes of severe hypoglycemia were recorded within 24 h of the event and verified where possible by witnesses. During the 12 months, 19 (66%) of the patients with impaired awareness had one or more episodes of severe hypoglycemia with an overall incidence of 2.8 episodes.patient-1.year-1. By comparison, 8 (26%) of the patients with normal awareness experienced severe hypoglycemia (P < 0.01) with an annual incidence of 0.5 episode.patient-1.year-1 (P < 0.001). Severe hypoglycemia occurred at different times of the day in the two groups: patients with impaired awareness experienced a greater proportion of episodes during the evening (P = 0.03), and patients with normal awareness experienced a greater proportion in the early morning (P = 0.05). An assessment of fear of hypoglycemia revealed that patients with impaired awareness of hypoglycemia worried more about hypoglycemia than did patients with normal awareness (P = 0.008), but did not modify their behavior accordingly. This prospective evaluation demonstrated that impaired awareness of hypoglycemia predisposes to a sixfold increase in the frequency of severe hypoglycemia, much of which occurred at home during waking hours.
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            Flash Glucose-Sensing Technology as a Replacement for Blood Glucose Monitoring for the Management of Insulin-Treated Type 2 Diabetes: a Multicenter, Open-Label Randomized Controlled Trial

            Introduction Glycemic control in participants with insulin-treated diabetes remains challenging. We assessed safety and efficacy of new flash glucose-sensing technology to replace self-monitoring of blood glucose (SMBG). Methods This open-label randomized controlled study (ClinicalTrials.gov, NCT02082184) enrolled adults with type 2 diabetes on intensive insulin therapy from 26 European diabetes centers. Following 2 weeks of blinded sensor wear, 2:1 (intervention/control) randomization (centrally, using biased-coin minimization dependant on study center and insulin administration) was to control (SMBG) or intervention (glucose-sensing technology). Participants and investigators were not masked to group allocation. Primary outcome was difference in HbA1c at 6 months in the full analysis set. Prespecified secondary outcomes included time in hypoglycemia, effect of age, and patient satisfaction. Results Participants (n = 224) were randomized (149 intervention, 75 controls). At 6 months, there was no difference in the change in HbA1c between intervention and controls: −3.1 ± 0.75 mmol/mol, [−0.29 ± 0.07% (mean ± SE)] and −3.4 ± 1.04 mmol/mol (−0.31 ± 0.09%) respectively; p = 0.8222. A difference was detected in participants aged <65 years [−5.7 ± 0.96 mmol/mol (−0.53 ± 0.09%) and −2.2 ± 1.31 mmol/mol (−0.20 ± 0.12%), respectively; p = 0.0301]. Time in hypoglycemia <3.9 mmol/L (70 mg/dL) reduced by 0.47 ± 0.13 h/day [mean ± SE (p = 0.0006)], and <3.1 mmol/L (55 mg/dL) reduced by 0.22 ± 0.07 h/day (p = 0.0014) for intervention participants compared with controls; reductions of 43% and 53%, respectively. SMBG frequency, similar at baseline, decreased in intervention participants from 3.8 ± 1.4 tests/day (mean ± SD) to 0.3 ± 0.7, remaining unchanged in controls. Treatment satisfaction was higher in intervention compared with controls (DTSQ 13.1 ± 0.50 (mean ± SE) and 9.0 ± 0.72, respectively; p < 0.0001). No serious adverse events or severe hypoglycemic events were reported related to sensor data use. Forty-two serious events [16 (10.7%) intervention participants, 12 (16.0%) controls] were not device-related. Six intervention participants reported nine adverse events for sensor-wear reactions (two severe, six moderate, one mild). Conclusion Flash glucose-sensing technology use in type 2 diabetes with intensive insulin therapy results in no difference in HbA1c change and reduced hypoglycemia, thus offering a safe, effective replacement for SMBG. Trial registration ClinicalTrials.gov identifier: NCT02082184. Funding Abbott Diabetes Care. Electronic supplementary material The online version of this article (doi:10.1007/s13300-016-0223-6) contains supplementary material, which is available to authorized users.
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              Introduction.

              (2017)
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                Author and article information

                Journal
                Diabetes Care
                Diabetes Care
                diacare
                dcare
                Diabetes Care
                Diabetes Care
                American Diabetes Association
                0149-5992
                1935-5548
                December 2017
                10 November 2017
                : 40
                : 12
                : 1631-1640
                Affiliations
                [1] 1Diabetes Centre for Children and Adolescents, Children’s and Youth Hospital “Auf Der Bult,” Hannover, Germany
                [2] 2The Myrtle and Henry Hirsch National Center for Childhood Diabetes, The Jesse and Sara Lea Shafer Institute of Endocrinology and Diabetes, Schneider Children’s Medical Center of Israel, Petah Tikva, Israel
                [3] 3Department of Pediatric Endocrinology, Diabetes and Metabolic Diseases, University Children’s Hospital, Ljubljana University Medical Centre, and Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
                [4] 4International Diabetes Center at Park Nicollet, Minneapolis, MN
                [5] 5Close Concerns, San Francisco, CA
                [6] 6Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
                [7] 7University of Colorado Denver and Barbara Davis Center for Diabetes, Aurora, CO
                [8] 8Science & Co, Düsseldorf, Germany
                [9] 9Division of Metabolism, Endocrinology, and Nutrition, Department of Medicine, University of Washington School of Medicine, Seattle, WA
                [10] 10Diabetes Research Group, King's College London, London, U.K.
                [11] 11Jaeb Center for Health Research, Tampa, FL
                [12] 12Diabetes Research Institute, University “Vita-Salute” San Raffaele, Milan, Italy
                [13] 13Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University Medical Center, Stanford, CA
                [14] 14Department of Information Engineering, University of Padova, Padova, Italy
                [15] 15John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA
                [16] 16Academic Unit of Diabetes, Endocrinology & Metabolism, The University of Sheffield, Sheffield, U.K.
                [17] 17Wellcome Trust-MRC Institute of Metabolic Science and Department of Paediatrics, University of Cambridge, Cambridge, U.K.
                [18] 18Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center of Diabetes, Shanghai, China
                [19] 19Telethon Kids Institute and School of Paediatrics and Child Health, The University of Western Australia, and Department of Endocrinology and Diabetes, Princess Margaret Hospital for Children, Perth, Australia
                [20] 20Center for Diabetes Technology, University of Virginia School of Medicine, Charlottesville, VA
                [21] 21JDRF, New York, NY
                [22] 22Pediatric, Adolescent and Young Adult Section and Section on Clinical, Behavioral and Outcomes Research, Joslin Diabetes Center, Harvard Medical School, Boston, MA
                [23] 23Norwich Medical School, University of East Anglia, Norwich, U.K.
                [24] 24Department of Endocrinology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
                [25] 25CGParkin Communications, Boulder City, NV
                [26] 26Department of Endocrinology, Diabetes, and Nutrition, Montpellier University Hospital, and Institute of Functional Genomics, University of Montpellier, and INSERM Clinical Investigation Centre, Montpellier, France
                [27] 27DiaCare, Ahmedabad, Gujarat, India
                [28] 28Centro de Diabetes Curitiba and Division of Pediatric Endocrinology, Hospital Nossa Senhora das Graças, Curitiba, Brazil
                [29] 29Department of Pediatrics, Yale School of Medicine, New Haven, CT
                Author notes
                Corresponding author: Thomas Danne, danne@ 123456hka.de .
                Author information
                http://orcid.org/0000-0003-0773-6961
                http://orcid.org/0000-0002-0273-4732
                http://orcid.org/0000-0001-9196-9906
                http://orcid.org/0000-0002-5194-8446
                http://orcid.org/0000-0002-0169-6682
                http://orcid.org/0000-0001-5333-6892
                http://orcid.org/0000-0002-3293-9114
                http://orcid.org/0000-0002-2425-9565
                http://orcid.org/0000-0002-7989-1998
                http://orcid.org/0000-0002-0979-5343
                http://orcid.org/0000-0002-9675-3001
                http://orcid.org/0000-0001-6838-5355
                Article
                1600
                10.2337/dc17-1600
                6467165
                29162583
                44fba275-e1ee-4b0c-89ca-55681d8303ec
                © 2017 by the American Diabetes Association.

                Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. More information is available at http://www.diabetesjournals.org/content/license.

                History
                Page count
                Figures: 1, Tables: 1, Equations: 0, References: 83, Pages: 10
                Funding
                Funded by: Advanced Technologies and Treatments for Diabetes (ATTD) Congress, DOI http://dx.doi.org/;
                Categories
                0301
                Continuous Glucose Monitoring and Risk of Hypoglycemia

                Endocrinology & Diabetes
                Endocrinology & Diabetes

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