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Miller E, Miller K. Detection and Intervention: Use of Continuous Glucose Monitoring in the Early Stages of Type 2 Diabetes. Clin Diabetes 2024; 42:398-407. [PMID: 39015167 PMCID: PMC11247044 DOI: 10.2337/cd23-0077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/18/2024]
Abstract
The term "prediabetes" has been used to identify the state of abnormal glucose homeostasis (dysglycemia) that often leads to the development of clinical type 2 diabetes. However, this term does not describe the cellular changes that are already taking place in individuals with elevated glucose levels. This article describes our approach to detecting early dysglycemia using continuous glucose monitoring and explains how this approach can be integrated into clinical practice settings.
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Cha E, Joung KH, Shin YA, Son NH, Kim HJ, Faulkner MS. Comparisons of Psycho-Behavioral Factors, Body Composition, and Clinical Outcomes in Adults With Type 2 Diabetes by Perceived Hypoglycemia. Sci Diabetes Self Manag Care 2023; 49:351-361. [PMID: 37658651 DOI: 10.1177/26350106231192362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/03/2023]
Abstract
PURPOSE The purpose of the study was to examine the associations between perceived hypoglycemia and psycho-behavioral and clinical factors in persons with type 2 diabetes (T2D). METHODS Adults with T2D were recruited from outpatient clinics in a university hospital in Korea. Sociodemographics, psycho-behavioral and clinical factors, and body composition were assessed. The participants were divided into 2 groups reporting perceived hypoglycemia or not in the previous month based on an item of the Control Problem Scale. Group differences were compared at α = .05 using SPSS (version 26.0). RESULTS Of 177 participants, approximately one-third (n = 67) perceived hypoglycemia. The hypoglycemia group reported poor health-related quality of life, frequent blood monitoring and foot care, and sleep difficulties. However, no differences between groups were identified for diet, exercise, or glycosylated hemoglobin. The hypoglycemia group had a lower body mass index and a trend toward a lower skeletal muscle mass and fat free mass. CONCLUSIONS Perceived hypoglycemia was associated with psycho-behavioral factors and body composition. Importantly, some persons on oral antidiabetic medications that do not cause hypoglycemia still perceived hypoglycemia. Further investigation is warranted to examine the efficacy of strategies to minimize hypoglycemia and inappropriate fear of hypoglycemia. In addition, clinicians should be aware of the potential risk of hypoglycemia in persons with lower muscle mass.
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Affiliation(s)
- EunSeok Cha
- College of Nursing, Chungnam National University, Daejeon, South Korea
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia
| | - Kyong Hye Joung
- Department of Internal Medicine, Chungnam National University, Daejeon, South Korea
| | - Yun-A Shin
- College of Sport Science, Dankook University, Cheonan, South Korea
| | - Nak-Hoon Son
- College of Natural Science, Department of Statistics, Keimyung University, Daegu, South Korea
| | - Hyun Jin Kim
- Department of Internal Medicine, Chungnam National University, Daejeon, South Korea
| | - Melissa Spezia Faulkner
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia
- Byrdine F. Lewis School of Nursing and Health Professions, Georgia State University, Atlanta, Georgia
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3
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Lewis DM, Oser TK, Wheeler BJ. Continuous glucose monitoring. BMJ 2023; 380:e072420. [PMID: 36868576 DOI: 10.1136/bmj-2022-072420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/05/2023]
Affiliation(s)
| | - Tamara K Oser
- Department of Family Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Benjamin J Wheeler
- Department of Women's and Children's Health, Dunedin School of Medicine, University of Otago, New Zealand
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4
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Klarskov CK, Windum NA, Olsen MT, Dungu AM, Jensen AK, Lindegaard B, Pedersen-Bjergaard U, Kristensen PL. Telemetric Continuous Glucose Monitoring During the COVID-19 Pandemic in Isolated Hospitalized Patients in Denmark: A Randomized Controlled Exploratory Trial. Diabetes Technol Ther 2022; 24:102-112. [PMID: 34524009 DOI: 10.1089/dia.2021.0291] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Objective: To investigate whether telemetric continuous glucose monitoring (CGM) in hospitalized and isolated patients with diabetes mellitus and coronavirus disease 2019 (COVID-19) is associated with better glycemic outcomes and fewer patient health care worker contacts compared to blood glucose monitoring by traditional point-of-care (POC) glucose testing and to investigate the user aspect of implementing a CGM-system in-hospital. Materials and Methods: A randomized controlled exploratory trial was performed on hospitalized and isolated patients with diabetes and COVID-19 from May 2020 until February 2021 at Nordsjællands Hospital, Denmark. Participants were randomized to nonblinded telemetric CGM (as the only glucose monitoring method) or traditional POC glucose testing + blinded CGM. The primary endpoint was time in range (TIR) based on CGM data in both groups. A questionnaire about the user aspect of the CGM system was answered by health care personnel (HCP). Results: We included 64 participants in the analysis, 31 in the CGM group and 33 in the POC glucose group. TIR median was 46% for the CGM group and 68% for the POC glucose group (P = 0.368). The mean glucose value for the CGM group was 11.1 and 10.8 mmol/L in the POC glucose group (P = 0.372). CGM was associated with fewer POC glucose measurements (P < 0.001). Out of 30 HCPs, 28 preferred telemetric CGM over POC glucose testing. Conclusion: Remote glucose monitoring by CGM did not improve glycemic outcomes compared to traditional POC glucose testing, but was associated with fewer patient-personnel contacts, saving time for HCPs performing diabetes-related tasks. Most HCPs preferred CGM. The study is registered at http://www.clinicaltrials.gov (#NCT04430608).
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Affiliation(s)
- Carina Kirstine Klarskov
- Department of Endocrinology and Nephrology, Copenhagen University Hospital - North Zealand, Hilleroed, Denmark
| | - Nicole Avlund Windum
- Department of Endocrinology and Nephrology, Copenhagen University Hospital - North Zealand, Hilleroed, Denmark
| | - Mikkel Thor Olsen
- Department of Endocrinology and Nephrology, Copenhagen University Hospital - North Zealand, Hilleroed, Denmark
| | - Arnold Matovu Dungu
- Department of Pulmonary and Infectious Diseases, and Copenhagen University Hospital - North Zealand, Hilleroed, Denmark
| | - Andreas Kryger Jensen
- Department of Clinical Research, Copenhagen University Hospital - North Zealand, Hilleroed, Denmark
- Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Birgitte Lindegaard
- Department of Pulmonary and Infectious Diseases, and Copenhagen University Hospital - North Zealand, Hilleroed, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ulrik Pedersen-Bjergaard
- Department of Endocrinology and Nephrology, Copenhagen University Hospital - North Zealand, Hilleroed, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Peter Lommer Kristensen
- Department of Endocrinology and Nephrology, Copenhagen University Hospital - North Zealand, Hilleroed, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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5
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Yan RN, Cai TT, Jiang LL, Jing T, Cai L, Xie XJ, Su XF, Xu L, He K, Cheng L, Cheng C, Liu BL, Hu Y, Ma JH. Real-Time Flash Glucose Monitoring Had Better Effects on Daily Glycemic Control Compared With Retrospective Flash Glucose Monitoring in Patients With Type 2 Diabetes on Premix Insulin Therapy. Front Endocrinol (Lausanne) 2022; 13:832102. [PMID: 35222287 PMCID: PMC8867069 DOI: 10.3389/fendo.2022.832102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 01/12/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND AND AIMS To compare the effects of real-time and retrospective flash glucose monitoring (FGM) on daily glycemic control and lifestyle in patients with type 2 diabetes on premix insulin therapy. METHODS AND RESULTS A total of 172 patients using premix insulin, with HbA1c ≥ 7.0% (56 mmol/mol), or the time below the target (TBR) ≥ 4%, or the coefficient of variation (CV) ≥36% during the screening period, were randomly assigned to retrospective FGM (n = 89) or real-time FGM group (n = 83). Another two retrospective or real-time 14-day FGMs were performed respectively, 1 month apart. Both groups received educations and medication adjustment after each FGM. Time in range (3.9~10.0 mmol/l, TIR) increased significantly after 3 months in the real-time FGM group (6.5%) compared with the retrospective FGM group (-1.1%) (p = 0.014). HbA1c decreased in both groups (both p < 0.01). Real-time FGMs increased daily exercise time compared with the retrospective group (p = 0.002). CONCLUSIONS Real-time FGM with visible blood glucose improves daily glycemic control and diabetes self-care behaviors better than retrospective FGM in patients with type 2 diabetes on premix insulin therapy. CLINICAL TRIAL REGISTRATION https://clinicaltrials.gov/NCT04847219.
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Affiliation(s)
- Reng-na Yan
- Department of Endocrinology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Ting-ting Cai
- Department of Endocrinology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Lan-lan Jiang
- Department of Endocrinology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Ting Jing
- Department of Endocrinology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Ling Cai
- Department of Endocrinology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Xiao-jing Xie
- Department of Endocrinology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Xiao-fei Su
- Department of Endocrinology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Lan Xu
- Department of Endocrinology, Wuxi People’s Hospital Affiliated to Nanjing Medical University, Wuxi, China
| | - Ke He
- Department of Endocrinology, Wuxi Hospital of Traditional Chinese Medicine, Wuxi, China
| | - Liang Cheng
- Department of Endocrinology, Huai’an Second People’s Hospital and the Affiliated Huai’an Hospital of Xuzhou Medical University, Huai’an, China
| | - Cheng Cheng
- Department of Endocrinology, The Affiliated Suqian First People’s Hospital of Nanjing Medical University, Suqian, China
| | - Bing-li Liu
- Department of Endocrinology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Yun Hu
- Department of Endocrinology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
- Department of Endocrinology, Wuxi People’s Hospital Affiliated to Nanjing Medical University, Wuxi, China
- *Correspondence: Yun Hu, ; Jian-hua Ma,
| | - Jian-hua Ma
- Department of Endocrinology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
- *Correspondence: Yun Hu, ; Jian-hua Ma,
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6
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Huhn EA, Linder T, Eppel D, Weißhaupt K, Klapp C, Schellong K, Henrich W, Yerlikaya-Schatten G, Rosicky I, Husslein P, Chalubinski K, Mittlböck M, Rust P, Hoesli I, Winzeler B, Jendle J, Fehm T, Icks A, Vomhof M, Greiner GG, Szendrödi J, Roden M, Tura A, Göbl CS. Effectiveness of real-time continuous glucose monitoring to improve glycaemic control and pregnancy outcome in patients with gestational diabetes mellitus: a study protocol for a randomised controlled trial. BMJ Open 2020; 10:e040498. [PMID: 33257486 PMCID: PMC7705524 DOI: 10.1136/bmjopen-2020-040498] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
INTRODUCTION Real-time continuous glucose monitoring (rt-CGM) informs users about current interstitial glucose levels and allows early detection of glycaemic excursions and timely adaptation by behavioural change or pharmacological intervention. Randomised controlled studies adequately powered to evaluate the impact of long-term application of rt-CGM systems on the reduction of adverse obstetric outcomes in women with gestational diabetes (GDM) are missing. We aim to assess differences in the proportion of large for gestational age newborns in women using rt-CGM as compared with women with self-monitored blood glucose (primary outcome). Rates of neonatal hypoglycaemia, caesarean section and shoulder dystocia are secondary outcomes. A comparison of glucose metabolism and quality of life during and after pregnancy completes the scope of this study. METHODS AND ANALYSIS Open-label multicentre randomised controlled trial with two parallel groups including 372 female patients with a recent diagnosis of GDM (between 24+0 until 31+6 weeks of gestation): 186 with rt-CGM (Dexcom G6) and 186 with self-monitored blood glucose (SMBG). Women with GDM will be consecutively recruited and randomised to rt-CGM or control (SMBG) group after a run-in period of 6-8 days. The third visit will be scheduled 8-10 days later and then every 2 weeks. At every visit, glucose measurements will be evaluated and all patients will be treated according to the standard care. The control group will receive a blinded CGM for 10 days between the second and third visit and between week 36+0 and 38+6. Cord blood will be sampled immediately after delivery. 48 hours after delivery neonatal biometry and maternal glycosylated haemoglobin A1c (HbA1c) will be assessed, and between weeks 8 and 16 after delivery all patients receive a re-examination of glucose metabolism including blinded CGM for 8-10 days. ETHICS AND DISSEMINATION This study received ethical approval from the main ethic committee in Vienna. Data will be presented at international conferences and published in peer-reviewed journals. TRIAL REGISTRATION NUMBER NCT03981328; Pre-results.
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Affiliation(s)
- Evelyn Annegret Huhn
- Department of Obstetrics and Gynaecology, University Hospital Basel, Basel, Switzerland
| | - Tina Linder
- Department of Obstetrics and Gynecology, Division of Obstetrics and Feto-maternal Medicine, Medical University of Vienna, Vienna, Austria
| | - Daniel Eppel
- Department of Obstetrics and Gynecology, Division of Obstetrics and Feto-maternal Medicine, Medical University of Vienna, Vienna, Austria
| | - Karen Weißhaupt
- Clinic of Obstetrics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Christine Klapp
- Clinic of Obstetrics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Karen Schellong
- Clinic of Obstetrics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Wolfgang Henrich
- Clinic of Obstetrics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Gülen Yerlikaya-Schatten
- Department of Obstetrics and Gynecology, Division of Obstetrics and Feto-maternal Medicine, Medical University of Vienna, Vienna, Austria
| | - Ingo Rosicky
- Department of Obstetrics and Gynecology, Division of Obstetrics and Feto-maternal Medicine, Medical University of Vienna, Vienna, Austria
| | - Peter Husslein
- Department of Obstetrics and Gynecology, Division of Obstetrics and Feto-maternal Medicine, Medical University of Vienna, Vienna, Austria
| | - Kinga Chalubinski
- Department of Obstetrics and Gynecology, Division of Obstetrics and Feto-maternal Medicine, Medical University of Vienna, Vienna, Austria
| | - Martina Mittlböck
- Center of Medical Statistics, Informatics, and Intelligent Systems, Section for Clinical Biometrics, Medical University of Vienna, Vienna, Austria
| | - Petra Rust
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | - Irene Hoesli
- Department of Obstetrics and Gynaecology, University Hospital Basel, Basel, Switzerland
| | - Bettina Winzeler
- Department of Endocrinology, Diabetology and Metabolism, University Hospital Basel, Basel, Switzerland
| | - Johan Jendle
- Institution of Medical Sciences, Örebro University, Örebro, Sweden
| | - T Fehm
- Department of Obstetrics and Gynaecology, Medical Faculty, Heinrich-Heine University Düsseldorf, Dusseldorf, Germany
| | - Andrea Icks
- Institute of Health Services Research and Health Economics, Centre for Health and Society, Faculty of Medicine, Heinrich Heine University, Düsseldorf, Germany
- Institute for Health Services Research and Health Economics, German Diabetes Center at Heinrich-Heine University Düsseldorf, Leibniz Institute for Diabetes Research, Düsseldorf, Germany
- German Center for Diabetes Research, München-Neuherberg, Oberschleißheim, Germany
| | - Markus Vomhof
- Institute of Health Services Research and Health Economics, Centre for Health and Society, Faculty of Medicine, Heinrich Heine University, Düsseldorf, Germany
- Institute for Health Services Research and Health Economics, German Diabetes Center at Heinrich-Heine University Düsseldorf, Leibniz Institute for Diabetes Research, Düsseldorf, Germany
- German Center for Diabetes Research, München-Neuherberg, Oberschleißheim, Germany
| | - Gregory Gordon Greiner
- Institute of Health Services Research and Health Economics, Centre for Health and Society, Faculty of Medicine, Heinrich Heine University, Düsseldorf, Germany
- Institute for Health Services Research and Health Economics, German Diabetes Center at Heinrich-Heine University Düsseldorf, Leibniz Institute for Diabetes Research, Düsseldorf, Germany
- German Center for Diabetes Research, München-Neuherberg, Oberschleißheim, Germany
| | - Julia Szendrödi
- German Center for Diabetes Research, München-Neuherberg, Oberschleißheim, Germany
- Division of Endocrinology and Diabetology, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
- Institute for Clinical Diabetology, German Diabetes Centre, Leibniz Institute for Diabetes Research at Heinrich-Heine University, Düsseldorf, Germany
| | - Michael Roden
- German Center for Diabetes Research, München-Neuherberg, Oberschleißheim, Germany
- Division of Endocrinology and Diabetology, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
- Institute for Clinical Diabetology, German Diabetes Centre, Leibniz Institute for Diabetes Research at Heinrich-Heine University, Düsseldorf, Germany
| | - Andrea Tura
- Metabolic Unit, Institute of Neuroscience, National Research Council, Padova, Italy
| | - Christian S Göbl
- Department of Obstetrics and Gynecology, Division of Obstetrics and Feto-maternal Medicine, Medical University of Vienna, Vienna, Austria
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Griggs S, Redeker NS, Crawford SL, Grey M. Sleep, self-management, neurocognitive function, and glycemia in emerging adults with Type 1 diabetes mellitus: A research protocol. Res Nurs Health 2020; 43:317-328. [PMID: 32639059 PMCID: PMC7382362 DOI: 10.1002/nur.22051] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 05/22/2020] [Accepted: 06/24/2020] [Indexed: 12/16/2022]
Abstract
Type 1 Diabetes (T1D) affects 1.6 million Americans, and only 14% of emerging adults ages 18-25 years achieve targets for glycemic control (A1C < 7.0%). Sleep deficiency, including habitual short sleep duration (<6.5 hr total sleep time and high within-person variability in total sleep time), is associated with poorer glycemic control. Emerging adults with T1D have a more pronounced sleep extension on weekends compared with matched controls, consistent with sleep deficiency; however, associations among sleep variability and glycemic control have not been explored in this population. Sleep deficiency may affect the complex higher-order neurocognitive functioning needed for successful diabetes self-management (DSM). We report the protocol for an ongoing study designed to characterize sleep and the associations among sleep deficiency, neurocognitive function, DSM, diabetes quality of life, and glycemia among a sample of 40 emerging adults with T1D. We monitor sleep via wrist-worn actigraphy and glucose via continuous glucose monitoring concurrently over 14 days. We are collecting data on self-report and objective sleep, a 10-min psychomotor vigilance test on a PVT-192 device, a 3-min Trail Making Test on paper, and questionnaires, including twice-daily Pittsburgh sleep diaries using Research Electronic Data Capture (REDCap)TM . Results from this study will be used to support the development and testing of the efficacy of a tailored sleep self-management intervention that may improve total sleep time, sleep variability, neurocognitive function, DSM, glycemic control, and glucose variability among emerging adults with T1D.
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Affiliation(s)
- Stephanie Griggs
- Frances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, Ohio
| | - Nancy S Redeker
- School of Nursing and School of Medicine, Yale University, West Haven, Connecticut
| | - Sybil L Crawford
- Graduate School of Nursing, University of Massachusetts Medical School, Worcester, Massachusetts
| | - Margaret Grey
- School of Nursing and School of Medicine, Yale University, West Haven, Connecticut
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8
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Moorman JM. Part I: Continuous glucose monitoring systems. JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY 2020. [DOI: 10.1002/jac5.1260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Abstract
This article attempts to aid clinicians in using diabetes devices in their clinical practice. It reviews device selection, initiation, and follow-up. It discusses work flow in an office and provides tips on billing. It stresses the need for patient choice, education, and on-going support through downloading and interpretation of data to optimize care.
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Affiliation(s)
- Anne L Peters
- Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA.
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10
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Deed G, Rasalam R, Khoo C, Dover T, Forgione N. Improving Type 2 Diabetes Management in General Practice Using a Second-Generation Basal Insulin Analogue Insulin Glargine 300 U/mL: A Practical Guide. Diabetes Ther 2019; 10:1987-1994. [PMID: 31637635 PMCID: PMC6848330 DOI: 10.1007/s13300-019-00704-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Indexed: 10/25/2022] Open
Abstract
Type 2 diabetes management can be improved by the use of second-generation basal insulin analogues as the first choice on commencement of insulin, in this instance focussing on insulin glargine 300 U/mL (Gla-300). The clinical application of the use of Gla-300 include advantages such as less intra- and interpatient variability in glucose control resulting in rather less hypoglycaemia, longer duration of action and greater flexibility in the timing of administration thus suiting a wide range of patient presentations.Funding: Sanofi Australia.
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Affiliation(s)
- Gary Deed
- Mediwell Medical Clinic, Brisbane, QLD, Australia.
| | - Roy Rasalam
- James Cook University, Townsville, QLD, Australia
| | - Chee Khoo
- Western Sydney University, Sydney, NSW, Australia
| | - Tom Dover
- Ipswich Hospital, Brisbane, QLD, Australia
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11
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Longo R, Sperling S. Personal Versus Professional Continuous Glucose Monitoring: When to Use Which on Whom. Diabetes Spectr 2019; 32:183-193. [PMID: 31462872 PMCID: PMC6695260 DOI: 10.2337/ds18-0093] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
IN BRIEF With the introduction of intermittently scanned continuous glucose monitoring (CGM) systems to the marketplace, providers and patients now have several options to continuously monitor glucose levels. This article addresses appropriate patient selection criteria for using patient- or practice-based CGM systems and the barriers to achieving optimal benefits from this technology. The authors have developed a flowchart to guide clinicians and patients in decision-making regarding the most appropriate type of CGM to use in various circumstances.
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12
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Aleppo G, Webb K. Continuous Glucose Monitoring Integration in Clinical Practice: A Stepped Guide to Data Review and Interpretation. J Diabetes Sci Technol 2019; 13:664-673. [PMID: 30453772 PMCID: PMC6610596 DOI: 10.1177/1932296818813581] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND The advent of continuous glucose monitoring (CGM) technology has transformed the approach to diabetes care. Multiple CGM systems are commercially available and increased accuracy has allowed development of hybrid and automated insulin delivery systems. Evidence of CGM clinical benefits has also increased exponentially in the last decade. METHODS Literature search, review of professional guidelines, and consensus statements were used to guide the preparation of this article. The clinical benefits of both professional and personal CGM in clinical practice as well as barriers to wider adotpion were explored. A stepped approach to review and interpretation of CGM data is suggested for use in the clinician's office regardless of the software used. RESULTS Although increasing, the use of CGM in patients with diabetes is still not widespread; multiple barriers are still in place, despite the approval of CGM systems for patients above the age of 2 years old, the extension of coverage for Medicare beneficiaries and the integration of CGM with multiple insulin pump systems. Integration of CGM technology in clinical practice presents various challenges, from concerns relative to time constraints during office visits to lack of systematic approach to interpretation of the data. CONCLUSIONS Understanding the usefulness of personal and professional CGM, appropriate patient selection as well as patient and provider training are crucial for the expansion of CGM therapy use in clinical practice. Utilizing the proposed stepped approach to CGM review and interpretation may allow wider adoption of CGM with more effective and efficient office visits.
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Affiliation(s)
- Grazia Aleppo
- Division of Endocrinology, Metabolism
and Molecular Medicine, Feinberg School of Medicine, Northwestern University,
Chicago, IL, USA
- Northwestern Medicine Diabetes Training
and Education Program, Division of Endocrinology, Metabolism and Molecular Medicine,
Northwestern Medical Group, Chicago, IL, USA
- Grazia Aleppo, MD, FACE, FACP, Division of
Endocrinology, Northwestern University, 645 N Michigan Ave, Ste 530, Chicago, IL
60611, USA.
| | - Kimberly Webb
- Northwestern Medicine Diabetes Training
and Education Program, Division of Endocrinology, Metabolism and Molecular Medicine,
Northwestern Medical Group, Chicago, IL, USA
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13
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Ajjan RA, Jackson N, Thomson SA. Reduction in HbA1c using professional flash glucose monitoring in insulin-treated type 2 diabetes patients managed in primary and secondary care settings: A pilot, multicentre, randomised controlled trial. Diab Vasc Dis Res 2019; 16:385-395. [PMID: 31271312 PMCID: PMC6613178 DOI: 10.1177/1479164119827456] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
AIM Analyse the effects of professional flash glucose monitoring system (FreeStyle Libre Pro™) on glycaemic control in insulin-treated type 2 diabetes. METHODS Primary (n = 17) and secondary care centres (n = 5) randomised 148 type 2 diabetes patients into three groups: (A) self-monitoring of blood glucose (n = 52), (B) self-monitoring of blood glucose and two Libre Pro sensor wears (n = 46) or (C) self-monitoring of blood glucose and four sensor wears (n = 50). Primary endpoint was time in range (glucose 3.9-10 mmol/L) within group C comparing baseline with days 172-187. Predefined secondary endpoints included HbA1c, hypoglycaemia and quality of life measures analysed within and between groups (clinicaltrials.gov, NCT02434315). RESULTS In group C, time in range in the first 14 days (baseline) and days 172-187 was similar at 15.0 ± 5.0 and 14.1 ± 4.7 h/day (mean ± SD), respectively, (p = 0.1589). In contrast, HbA1c reduced from baseline to study end within group C by 4.9 ± 8.8 mmol/mol (0.44% ± 0.81%; p = 0.0003). HbA1c was also lower in group C compared with A at study end by 5.4 ± 1.79 mmol/mol (0.48% ± 0.16%; p = 0.0041, adjusted mean ± SE), without increased time in hypoglycaemia (p = 0.1795). Treatment satisfaction scores improved in group C compared with A (p = 0.0225) and no device-related serious adverse events were reported. CONCLUSIONS Libre Pro can improve HbA1c and treatment satisfaction without increasing hypoglycaemic exposure in insulin-treated type 2 diabetes individuals managed in primary/secondary care centres.
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Affiliation(s)
- Ramzi A Ajjan
- St James’s University Hospital, Leeds Teaching Hospitals NHS Trust and LIGHT Laboratories: Leeds Institute of Cardiovascular and Metabolic Research, University of Leeds, Leeds, UK
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14
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Ajjan R, Slattery D, Wright E. Continuous Glucose Monitoring: A Brief Review for Primary Care Practitioners. Adv Ther 2019; 36:579-596. [PMID: 30659511 PMCID: PMC6824352 DOI: 10.1007/s12325-019-0870-x] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Indexed: 12/17/2022]
Abstract
Glycated hemoglobin A1c (HbA1c) is routinely used as a marker of average glycemic control, but it fails to provide data on hypoglycemia and glycemic variability, both of which are associated with adverse clinical outcomes. Self-monitoring of blood glucose (SMBG), particularly in insulin-treated patients, is a cornerstone in the management of patients with diabetes. SMBG helps with treatment decisions that aim to reduce high glucose levels while avoiding hypoglycemia and limiting glucose variability. However, repeated SMBG can be inconvenient to patients and difficult to maintain in the long term. By contrast, continuous glucose monitoring (CGM) provides a convenient, comprehensive assessment of blood glucose levels, allowing the identification of high and low glucose levels, in addition to evaluating glycemic variability. CGM using newer detection and visualization systems can overcome many of the limitations of an HbA1c-based approach while addressing the inconvenience and fragmented glucose data associated with SMBG. When used together with HbA1c monitoring, CGM provides complementary information on glucose levels, thus facilitating the optimization of diabetes therapy while reducing the fear and risk of hypoglycemia. Here we review the capabilities and benefits of CGM, including cost-effectiveness data, and discuss the potential limitations of this glucose-monitoring strategy for the management of patients with diabetes. FUNDING: Sanofi US, Inc.
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Affiliation(s)
- Ramzi Ajjan
- Leeds Institute of Cardiovascular and Metabolic Medicine, The LIGHT Laboratories, University of Leeds, Leeds, UK.
| | - David Slattery
- Endocrinology and Metabolic Medicine, York Teaching Hospital, NHS Foundation Trust, York, UK
| | - Eugene Wright
- Department of Medicine and Community and Family Medicine, Duke Southern Regional AHEC, Fayetteville, NC, USA
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15
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Sagar RC, Abbas A, Ajjan R. Glucose monitoring in diabetes: from clinical studies to real‐world practice. PRACTICAL DIABETES 2019. [DOI: 10.1002/pdi.2215] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Rebecca C Sagar
- Leeds Centre for Diabetes and Endocrinology, Leeds Teaching Hospitals NHS Trust Leeds UK
| | - Afroze Abbas
- Leeds Centre for Diabetes and Endocrinology, Leeds Teaching Hospitals NHS Trust Leeds UK
- School of MedicineUniversity of Leeds Leeds UK
| | - Ramzi Ajjan
- Leeds Centre for Diabetes and Endocrinology, Leeds Teaching Hospitals NHS Trust Leeds UK
- School of MedicineUniversity of Leeds Leeds UK
- Leeds Institute of Cardiovascular and Metabolic Medicine, The LIGHT LaboratoriesUniversity of Leeds Leeds UK
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DiMeglio LA, Acerini CL, Codner E, Craig ME, Hofer SE, Pillay K, Maahs DM. ISPAD Clinical Practice Consensus Guidelines 2018: Glycemic control targets and glucose monitoring for children, adolescents, and young adults with diabetes. Pediatr Diabetes 2018; 19 Suppl 27:105-114. [PMID: 30058221 DOI: 10.1111/pedi.12737] [Citation(s) in RCA: 373] [Impact Index Per Article: 62.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2018] [Accepted: 07/27/2018] [Indexed: 12/23/2022] Open
Affiliation(s)
- Linda A DiMeglio
- Division of Pediatric Endocrinology and Diabetology and Wells Center for Pediatric Research, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana
| | - Carlo L Acerini
- Department of Paediatrics, University of Cambridge, Cambridge, UK
| | - Ethel Codner
- Institute of Maternal and Child Research (IDMI), School of Medicine, Universidad de Chile, Santiago, Chile
| | - Maria E Craig
- Institute of Endocrinology and Diabetes, Children's Hospital at Westmead, Sydney, Australia
| | - Sabine E Hofer
- Department of Pediatrics, Medical University of Innsbruck, Innsbruck, Austria
| | | | - David M Maahs
- Division of Pediatric Endocrinology, Stanford University, Stanford, California
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17
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Sheikh K, Bartz SK, Lyons SK, DeSalvo DJ. Diabetes Device Use and Glycemic Control among Youth with Type 1 Diabetes: A Single-Center, Cross-Sectional Study. J Diabetes Res 2018; 2018:5162162. [PMID: 30151393 PMCID: PMC6087575 DOI: 10.1155/2018/5162162] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Accepted: 06/11/2018] [Indexed: 01/06/2023] Open
Abstract
AIM The purpose of this cross-sectional study was to determine the rates of diabetes device use (insulin pump and continuous glucose monitor (CGM)) and association with glycemic control in youth with type 1 diabetes in a large, diverse pediatric center. METHODS Demographic and clinical data were obtained from 1992 patients who met the eligibility criteria (age < 26 years, diabetes duration ≥ 1 year, and ≥1 clinic visit in the preceding 12 months). Statistical analyses assessed the likelihood of device use based on demographic characteristics and the association between device use and glycemic control based on most recent hemoglobin A1c (HbA1c). RESULTS Mean age was 13.8 ± 4.2 years, 50.7% were female, diabetes duration was 6.2 ± 4 years, and mean HbA1c was 8.7 ± 1.8%. Overall, 38.2% of patients were on pump therapy and 18.5% were on CGM. Patients who were non-Hispanic (NH) white, privately insured, and with primary English-speaking parent(s) had higher rates of insulin pump use, as well as CGM use (P < 0.001 for both). Female patients had higher rates of pump use only (P < 0.01). Private health insurance, NH white race/ethnicity, and CGM use were each associated with lower HbA1c (P = 0.03, <0.001, and <0.008, resp.). CONCLUSION At a large, diverse, pediatric diabetes center, disparities in diabetes device use were present across sex, race/ethnicity, health insurance coverage, and primary language of parent(s). CGM use was associated with lower HbA1c. Quality improvement efforts are underway to ensure improved access, education, and clinical programs for advanced diabetes devices for T1D patients.
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Affiliation(s)
| | - Sara K. Bartz
- Baylor College of Medicine/Texas Children's Hospital, Houston, TX, USA
| | - Sarah K. Lyons
- Baylor College of Medicine/Texas Children's Hospital, Houston, TX, USA
| | - Daniel J. DeSalvo
- Baylor College of Medicine/Texas Children's Hospital, Houston, TX, USA
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Levitt DL, Spanakis EK, Ryan KA, Silver KD. Insulin Pump and Continuous Glucose Monitor Initiation in Hospitalized Patients with Type 2 Diabetes Mellitus. Diabetes Technol Ther 2018; 20:32-38. [PMID: 29293367 PMCID: PMC5770096 DOI: 10.1089/dia.2017.0250] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND Insulin pumps and continuous glucose monitoring (CGM) are commonly used by patients with diabetes mellitus in the outpatient setting. The efficacy and safety of initiating inpatient insulin pumps and CGM in the nonintensive care unit setting is unknown. MATERIALS AND METHODS In a prospective pilot study, inpatients with type 2 diabetes were randomized to receive standard subcutaneous basal-bolus insulin and blinded CGM (group 1, n = 5), insulin pump and blinded CGM (group 2, n = 6), or insulin pump and nonblinded CGM (group 3, n = 5). Feasibility, glycemic control, and patient satisfaction were evaluated among groups. RESULTS Group 1 had lower mean capillary glucose levels, 144.5 ± 19.5 mg/dL, compared with groups 2 and 3, 191.5 ± 52.3 and 182.7 ± 59.9 mg/dL (P1 vs. 2+3 = 0.05). CGM detected 19 hypoglycemic episodes (glucose <70 mg/dL) among all treatment groups, compared with 12 episodes detected by capillary testing, although not statistically significant. No significant differences were found for the total daily dose of insulin or percentage of time spent below target glucose range (<90 mg/dL), in target glucose range (90-180 mg/dL), or above target glucose range (>180 mg/dL). On the Diabetes Treatment Satisfaction Questionnaire-Change, group 3 reported increased hyperglycemia and decreased hypoglycemia frequency compared with the other two groups, although the differences did not reach statistical significance. CONCLUSIONS Insulin pump and CGM initiation are feasible during hospitalization, although they are labor intensive. Although insulin pump initiation may not lead to improved glycemic control, there is a trend toward CGM detecting a greater number of hypoglycemic episodes. Larger studies are needed to determine whether use of this technology can lower inpatient morbidity and mortality.
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Affiliation(s)
- David L. Levitt
- Division of Endocrinology, Diabetes, and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland
| | - Elias K. Spanakis
- Division of Endocrinology, Diabetes, and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland
- Division of Endocrinology and Diabetes, Baltimore Veterans Administration Medical Center, Baltimore, Maryland
| | - Kathleen A. Ryan
- Division of Endocrinology, Diabetes, and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland
| | - Kristi D. Silver
- Division of Endocrinology, Diabetes, and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland
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Klonoff DC, Ahn D, Drincic A. Continuous glucose monitoring: A review of the technology and clinical use. Diabetes Res Clin Pract 2017; 133:178-192. [PMID: 28965029 DOI: 10.1016/j.diabres.2017.08.005] [Citation(s) in RCA: 145] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2017] [Revised: 06/27/2017] [Accepted: 08/08/2017] [Indexed: 02/01/2023]
Abstract
Continuous glucose monitoring (CGM) is an increasingly adopted technology for insulin-requiring patients that provides insights into glycemic fluctuations. CGM can assist patients in managing their diabetes with lifestyle and medication adjustments. This article provides an overview of the technical and clinical features of CGM based on a review of articles in PubMed on CGM from 1999 through January 31, 2017. A detailed description is presented of three professional (retrospective), three personal (real-time) continuous glucose monitors, and three sensor integrated pumps (consisting of a sensor and pump that communicate with each other to determine an optimal insulin dose and adjust the delivery of insulin) that are currently available in United States. We have reviewed outpatient CGM outcomes, focusing on hemoglobin A1c (A1C), hypoglycemia, and quality of life. Issues affecting accuracy, detection of glycemic variability, strategies for optimal use, as well as cybersecurity and future directions for sensor design and use are discussed. In conclusion, CGM is an important tool for monitoring diabetes that has been shown to improve outcomes in patients with type 1 diabetes mellitus. Given currently available data and technological developments, we believe that with appropriate patient education, CGM can also be considered for other patient populations.
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Affiliation(s)
- David C Klonoff
- Diabetes Research Institute, Mills-Peninsula Health Services, San Mateo, CA, USA.
| | - David Ahn
- University of California, Los Angeles, Los Angeles, CA, USA
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20
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Abstract
Controlling glycemia in diabetes remains key to prevent complications in this condition. However, glucose levels can undergo large fluctuations secondary to daily activities, consequently creating management difficulties. The current review summarizes the basics of glucose management in diabetes by addressing the main glycemic parameters. The advantages and limitation of HbA1c, the gold standard measure of glucose control, are discussed together with the clinical importance of hypoglycemia and glycemic variability. The review subsequently moves focus to glucose monitoring techniques in diabetes, assessing advantages and limitations. Monitoring glucose levels is crucial for effective and safe adjustment of hypoglycemic therapy, particularly in insulin users. Self-monitoring of blood glucose (SMBG), based on capillary glucose testing, remains one of the most widely used methods to monitor glucose levels, given the relative accuracy, familiarity, and manageable costs. However, patient inconvenience and the sporadic nature of SMBG limit clinical effectiveness of this approach. In contrast, continuous glucose monitoring (CGM) provides a more comprehensive picture of glucose levels, but these systems are expensive and require constant calibration which, together with concerns over accuracy of earlier devices, restrict CGM use to special groups of patients. The newer flash continuous glucose monitoring (FCGM) system, which is more affordable than conventional CGM devices and does not require calibration, offers an alternative glucose monitoring strategy that comprehensively analyzes glucose profile while sparing patients the inconvenience of capillary glucose testing for therapy adjustment or CGM calibration. The fast development of new CGM devices will gradually displace SMBG as the main glucose testing method. Avoiding the inconvenience of SMBG and optimizing glycemia through alternative glucose testing strategies will help to reduce the risk of complications and improve quality of life in patients with diabetes.
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Affiliation(s)
- Ramzi A Ajjan
- LIGHT Laboratories, Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds , Leeds, United Kingdom
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21
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Affiliation(s)
- Revital Nimri
- 1 Diabetes Technology Center, Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes , Schneider Children's Medical Center of Israel, Petah Tikva, Israel
| | - Nathan Murray
- 2 William Sansum Diabetes Center , Santa Barbara, CA
| | | | | | - Eyal Dassau
- 2 William Sansum Diabetes Center , Santa Barbara, CA
- 3 Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University , Cambridge, MA
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Pettus J, Edelman SV. Recommendations for Using Real-Time Continuous Glucose Monitoring (rtCGM) Data for Insulin Adjustments in Type 1 Diabetes. J Diabetes Sci Technol 2017; 11:138-147. [PMID: 27530720 PMCID: PMC5375074 DOI: 10.1177/1932296816663747] [Citation(s) in RCA: 82] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
The clinical benefits of real time continuous glucose monitoring (rtCGM) use have been well demonstrated in both CSII- and MDI-treated individuals in large clinical trials. However, recommendations for patient use of rtCGM in everyday life situations are lacking. This article provides guidance to clinicians and patients with type 1 diabetes (T1D) in effective use of rtCGM data, including glucose rate of change (ROC) arrows, for insulin dosing adjustments and other treatment decisions. The recommendations presented here are based on our own clinical experiences as endocrinologists, our personal experiences living with T1D using rtCGM, and findings from a recent survey of T1D patients who have successfully used rtCGM in their self-management. It is important that both clinicians and people with diabetes understand the utility and limitations of rtCGM. Maintaining a collaborative clinician-user relationship remains an important factor in safe, successful rtCGM use.
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Affiliation(s)
- Jeremy Pettus
- University of California, San Diego, San Diego, CA, USA
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