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Baliga BS, Tillman JB, Olson B, Vaughan S, Sheikh FN, Malone JK. First Real-World Experience With Bigfoot Unity: A 6-Month Retrospective Analysis. Clin Diabetes 2023; 41:539-548. [PMID: 37849519 PMCID: PMC10577513 DOI: 10.2337/cd22-0126] [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: 10/19/2023]
Abstract
The Bigfoot Unity Diabetes Management System, a smart pen cap system cleared by the U.S. Food and Drug Administration in May 2021, incorporates continuous glucose monitoring data, real-time glycemic alerts, and clinician-directed dose recommendations. This study analyzed real-world clinical outcomes data for an initial cohort (n = 58, from 13 clinics) managing multiple daily injection insulin therapy using the pen cap system for 6 months. We examined glycemic control, including hypoglycemia events and interaction with and use of the pen cap system. In a cohort mainly consisting of adults with type 2 diabetes and an average age of 62 years, the results demonstrate close adherence to established glycemic targets, including a relatively short amount of time spent in the hypoglycemic range.
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Klupa T, Czupryniak L, Dzida G, Fichna P, Jarosz-Chobot P, Gumprecht J, Mysliwiec M, Szadkowska A, Bomba-Opon D, Czajkowski K, Malecki MT, Zozulinska-Ziolkiewicz DA. Expanding the Role of Continuous Glucose Monitoring in Modern Diabetes Care Beyond Type 1 Disease. Diabetes Ther 2023:10.1007/s13300-023-01431-3. [PMID: 37322319 PMCID: PMC10299981 DOI: 10.1007/s13300-023-01431-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 05/31/2023] [Indexed: 06/17/2023] Open
Abstract
Application of continuous glucose monitoring (CGM) has moved diabetes care from a reactive to a proactive process, in which a person with diabetes can prevent episodes of hypoglycemia or hyperglycemia, rather than taking action only once low and high glucose are detected. Consequently, CGM devices are now seen as the standard of care for people with type 1 diabetes mellitus (T1DM). Evidence now supports the use of CGM in people with type 2 diabetes mellitus (T2DM) on any treatment regimen, not just for those on insulin therapy. Expanding the application of CGM to include all people with T1DM or T2DM can support effective intensification of therapies to reduce glucose exposure and lower the risk of complications and hospital admissions, which are associated with high healthcare costs. All of this can be achieved while minimizing the risk of hypoglycemia and improving quality of life for people with diabetes. Wider application of CGM can also bring considerable benefits for women with diabetes during pregnancy and their children, as well as providing support for acute care of hospital inpatients who experience the adverse effects of hyperglycemia following admission and surgical procedures, as a consequence of treatment-related insulin resistance or reduced insulin secretion. By tailoring the application of CGM for daily or intermittent use, depending on the patient profile and their needs, one can ensure the cost-effectiveness of CGM in each setting. In this article we discuss the evidence-based benefits of expanding the use of CGM technology to include all people with diabetes, along with a diverse population of people with non-diabetic glycemic dysregulation.
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Affiliation(s)
- Tomasz Klupa
- Department of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland.
| | - Leszek Czupryniak
- Department of Diabetology and Internal Medicine, Medical University of Warsaw, Warsaw, Poland
| | - Grzegorz Dzida
- Department of Internal Diseases, Medical University of Lublin, Lublin, Poland
| | - Piotr Fichna
- Department of Pediatric Diabetes and Obesity, Poznan University of Medical Sciences, Poznan, Poland
| | | | - Janusz Gumprecht
- Department of Internal Medicine, Diabetology and Nephrology, Medical University of Silesia, Katowice, Poland
| | - Malgorzata Mysliwiec
- Department of Pediatrics, Diabetology and Endocrinology, Medical University of Gdansk, Gdansk, Poland
| | - Agnieszka Szadkowska
- Department of Pediatrics, Diabetology, Endocrinology and Nephrology, Medical University of Lodz, Lodz, Poland
| | - Dorota Bomba-Opon
- 1st Department of Obstetrics and Gynecology, Medical University of Warsaw, Warsaw, Poland
| | - Krzysztof Czajkowski
- 2nd Department of Obstetrics and Gynecology, Medical University of Warsaw, Warsaw, Poland
| | - Maciej T Malecki
- Department of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland
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Lin YK, Agni A, Chuisano S, Fetters MD, Funnell M, Pop-Busui R, DeJonckheere MJ. Patient-Reported Usefulness and Challenges in Using Hypoglycemia-Informing Features of Continuous Glucose Monitors to Manage Hypoglycemia. Sci Diabetes Self Manag Care 2023; 49:229-238. [PMID: 37086168 PMCID: PMC10960636 DOI: 10.1177/26350106231168859] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/23/2023]
Abstract
PURPOSE The purpose of this study series, which involves a questionnaire survey and qualitative interviews, was to (a) evaluate patient-reported usefulness of continuous glucose monitor (CGM) hypoglycemia-informing features and (b) identify challenges in using these features (ie, CGM glucose numbers, trend arrows, trend graphs, and hypoglycemia alarms) during hypoglycemia in adults with type 1 diabetes (T1DM). METHODS A cross-sectional questionnaire survey study was conducted with adults who have T1DM and were using CGMs to assess the perceived usefulness of hypoglycemia-informing features. A semistructured interview study with T1DM CGM-using adults and inductive thematic analysis were subsequently performed to identify challenges in using CGM hypoglycemia-informing features to manage hypoglycemia. RESULTS In the survey study (N = 252), the CGM glucose numbers, trend arrows, trend graphs, and hypoglycemia alarms were found to be very useful by 79%, 70%, 43%, and 64% of participants, respectively. Several challenges in using these features to manage hypoglycemia were identified in the qualitative study (N = 23): (1) hypoglycemia information not fully reliable,; (2) unpredictability of future blood glucose levels, (3) lack of awareness about how information can be used, and (4) disruptions associated with information. CONCLUSIONS Although the majority of T1DM adults found their CGMs' hypoglycemia-informing features helpful, challenges in optimally using these features persisted. Targeted knowledge and behavioral interventions could improve CGM use to reduce hypoglycemia.
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Affiliation(s)
- Yu Kuei Lin
- Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan
| | - Annika Agni
- Department of Family Medicine, University of Michigan Medical School, Ann Arbor, Michigan
| | - Samantha Chuisano
- Department of Family Medicine, University of Michigan Medical School, Ann Arbor, Michigan
| | - Michael D Fetters
- Department of Family Medicine, University of Michigan Medical School, Ann Arbor, Michigan
- Mixed Methods Program, University of Michigan Medical School, Ann Arbor, Michigan
| | - Martha Funnell
- Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, Michigan
| | - Rodica Pop-Busui
- Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan
| | - Melissa J DeJonckheere
- Department of Family Medicine, University of Michigan Medical School, Ann Arbor, Michigan
- Mixed Methods Program, University of Michigan Medical School, Ann Arbor, Michigan
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104
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Manfredo J, Lin T, Gupta R, Abiola K, West M, Busin K, Tracey J, Brown EA, Magge SN, Wolf RM. Short-term use of CGM in youth onset type 2 diabetes is associated with behavioral modifications. Front Endocrinol (Lausanne) 2023; 14:1182260. [PMID: 37313442 PMCID: PMC10258317 DOI: 10.3389/fendo.2023.1182260] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 05/10/2023] [Indexed: 06/15/2023] Open
Abstract
Background Continuous glucose monitoring (CGM) is beneficial to glycemic control in youth with type 1 diabetes (T1D) and adults with type 2 diabetes (T2D); however, studies in youth with T2D are limited. Objective Determine if 10-day trial CGM use in youth with T2D improves glycemic control and behavioral modifications. Methods Youth with T2D > 3 months, on insulin, with no prior CGM use were enrolled. Staff placed CGM and provided education. Participants received 5-day and 10-day follow-up phone calls to review CGM data, behavioral modifications, and adjust insulin doses as needed. We compared 5-day to 10-day TIR, and baseline to 3-6 month HbA1c via paired t-test. Results Participants (n=41) had median age of 16.2 y, were 61% female, 81% NH Black, median diabetes duration of 0.8 y, and baseline HbA1c of 10.3%. A majority had household income<$50,000 (81%) and parental education level of HS or less (73%). Average 5-day TIR 49% was similar to 10-day TIR 51% (p=0.62). There was no change in HbA1c after 3-6 months (10.2% v 10.3%, p=0.89). Nineteen participants completed full 10-day CGM use; of those, 84% wanted a CGM long-term. Adolescents reported behavioral changes including increased blood sugar checks, increased insulin administration and overall improved diabetes management. Conclusion Although 10-day CGM use did not impact short-term or long-term glycemic control in youth with T2D, most participants reported behavioral changes and wanted to continue using CGM. Future studies with longer use of CGM may clarify the potential impact of CGM in youth with T2D.
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105
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Šoupal J, Kao K, Brandner L, Grunberger G, Prázný M. Low Initial Adherence with Flash Glucose Monitoring is Not a Predictor of Long-Term Glycemic Outcomes: Longitudinal Analysis of the Association Between Experience, Adherence, and Glucose Control for FreeStyle Libre Users. Diabetes Ther 2023:10.1007/s13300-023-01422-4. [PMID: 37211580 DOI: 10.1007/s13300-023-01422-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 05/04/2023] [Indexed: 05/23/2023] Open
Abstract
INTRODUCTION Frequent scanning of FreeStyle Libre (FSL) flash glucose monitoring sensors is known to be important whilst wearing an active sensor, but adherence to sensor reapplication is also critical to effective glucose monitoring. We report novel measures of adherence for users of the FSL system and their association with improvements in metrics of glucose control. METHODS Anonymous data were extracted for 1600 FSL users in the Czech Republic with ≥ 36 completed sensors from October 22, 2018 to December 31, 2021. "Experience" was defined by the number of sensors used (1-36 sensors). "Adherence" was defined by time between the end of one sensor and the start of the next (gap time). User adherence was analyzed for four experience levels after initiating FLASH; Start (sensors 1-3); Early (sensors 4-6); Middle (sensors 19-21); End (sensors 34-36). Users were split into two adherence levels based on mean gap time during Start period, "low" (> 24 h, n = 723) and "high" (≤ 8 h, n = 877). RESULTS Low-adherence users reduced their sensor gap times significantly: 38.5% applied a new sensor within 24 h during sensors 4-6, rising to 65.0% by sensors 34-36 (p < 0.001). Improved adherence was associated with increased %TIR (time in range; mean + 2.4%; p < 0.001), reduced %TAR (time above range; mean - 3.1%; p < 0.001), and reduced glucose coefficient of variation (CV; mean - 1.7%; p < 0.001). CONCLUSIONS With experience, FSL users became more adherent in sensor reapplication, with associated increases in %TIR, and reductions in %TAR and glucose variability.
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Affiliation(s)
- Jan Šoupal
- 3rd Department of Internal Medicine, 1st Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic.
| | | | | | - George Grunberger
- Grunberger Diabetes Institute, Bloomfield Hills, MI, USA
- Department of Internal Medicine and Center for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, MI, USA
| | - Martin Prázný
- 3rd Department of Internal Medicine, 1st Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
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Pfützner A, Tencer B, Stamm B, Mehta M, Sharma P, Gilyazev R, Jensch H, Thomé N, Huth M. Miniaturization of an Osmotic Pressure-Based Glucose Sensor for Continuous Intraperitoneal and Subcutaneous Glucose Monitoring by Means of Nanotechnology. SENSORS (BASEL, SWITZERLAND) 2023; 23:s23094541. [PMID: 37177745 PMCID: PMC10181718 DOI: 10.3390/s23094541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 05/02/2023] [Accepted: 05/03/2023] [Indexed: 05/15/2023]
Abstract
The Sencell sensor uses glucose-induced changes in an osmotic pressure chamber for continuous glucose measurement. A final device shall have the size of a grain of rice. The size limiting factor is the piezo-resistive pressure transducers inside the core sensor technology (resulting chamber volume: 70 µL. To achieve the necessary miniaturization, these pressure transducers were replaced by small (4000 × 400 × 150 nm³) nano-granular tunneling resistive (NTR) pressure sensors (chamber volume: 750 nL). For benchmark testing, we filled the miniaturized chamber with bovine serum albumin (BSA, 1 mM) and exposed it repeatedly to distilled water followed by 1 mM BSA solution. Thereafter, we manufactured sensors with glucose testing chemistry (ConcanavalinA/dextran) and investigated sensor performance with dynamic glucose changes between 0 and 300 mg/dL. Evaluation of the miniaturized sensors resulted in reliable pressure changes, both in the BSA benchmark experiment (30-35 mBar) and in the dynamic in vitro continuous glucose test (40-50 mBar). These pressure results were comparable to similar experiments with the previous larger in vitro sensors (30-50 mBar). In conclusion, the NTR pressure sensor technology was successfully employed to reduce the size of the core osmotic pressure chamber by more than 95% without loss in the osmotic pressure signal.
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Affiliation(s)
- Andreas Pfützner
- Lifecare AS, 5058 Bergen, Norway
- Lifecare Nanobiosensors GmbH, 55128 Mainz, Germany
- Lifecare Laboratories GmbH, 55128 Mainz, Germany
- Pfützner Science & Health Institute, 55128 Mainz, Germany
- Institute for Internal Medicine and Laboratory Medicine, University for Digital Technologies in Medicine & Dentistry, 9516 Wiltz, Luxembourg
| | | | - Boris Stamm
- Lifecare Nanobiosensors GmbH, 55128 Mainz, Germany
| | - Mandar Mehta
- Lifecare Nanobiosensors GmbH, 55128 Mainz, Germany
| | | | | | | | - Nicole Thomé
- Lifecare Laboratories GmbH, 55128 Mainz, Germany
| | - Michael Huth
- Institute of Physics, Goethe-Universität, 60323 Frankfurt am Main, Germany
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107
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Grady M, Cameron H, Holt E. Sustained Improvements in Readings in-Range Using an Advanced Bluetooth ® Connected Blood Glucose Meter and a Mobile Diabetes App: Real-World Evidence from more than 55,000 People with Diabetes. Diabetes Ther 2023; 14:1023-1035. [PMID: 37138183 DOI: 10.1007/s13300-023-01415-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 04/19/2023] [Indexed: 05/05/2023] Open
Abstract
INTRODUCTION The OneTouch Verio Reflect® (OTVR) Blood Glucose Meter features a color range indicator and provides on-meter guidance, insights, and encouragement. Diabetes management is enhanced by the OneTouch Reveal® (OTR) Mobile App. We sought to provide real-world evidence (RWE) that combining devices improves glycemia. METHODS Anonymized glucose and app analytics from more than 55,000 people with diabetes (PWDs) were extracted from a server. Data from their first 14 days using OTVR Meter and OTR App was compared with 14 days prior to 90- and 180-day timepoints using paired within-subject differences. RESULTS In people with type 1 (PwT1D) or type 2 diabetes (PwT2D), readings in-range (RIR 70-180 mg/dL) improved by 7.8 percentage points (57.9-65.7%) and 12.0 percentage points (72.8-84.8%), respectively, over 180 days and hyperglycemia (> 180 mg/dL) was reduced by - 8.4 percentage points (37.9-29.5%) and - 12.2 percentage points (26.2-14.1%). RIR improved by > 10 percentage points in 38% of PwT1D and 39% of PwT2D. PwT1D spending > 2 to 4 sessions or > 10 to 20 min per week on the app improved RIR by 7.0 and 8.2 percentage points, respectively. PwT2D spending > 2 to 4 sessions or > 10 to 20 min per week on the app improved RIR by 12.6 and 12.1 percentage points, respectively. In PwT1D or T2D, mean blood glucose reduced by - 14.3 and - 19.8 mg/dL, respectively, from baseline to 180 days, with no clinically meaningful changes in percentage of hypoglycemic readings (< 70 mg/dL). PwT1D 65 years and older performed the most app sessions (10 per week) and improved RIR by 7.9 percentage points. PwT2D 65 years and older spent more time on the app (45 min per week) than PwT2D of any other age and improved RIR by 7.6 percentage points. All glycemic changes were statistically significant (p < 0.0005). CONCLUSION Real-world data from more than 55,000 PWDs demonstrates sustained improvements in readings in-range in PWDs using the OneTouch Verio Reflect Blood Glucose Meter and OneTouch Reveal App.
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Affiliation(s)
- Mike Grady
- LifeScan Scotland Ltd, Beechwood Park North, Inverness, IV2 3ED, UK.
| | - Hilary Cameron
- LifeScan Scotland Ltd, Beechwood Park North, Inverness, IV2 3ED, UK
| | - Elizabeth Holt
- LifeScan Global Corporation, 20 Valley Stream Parkway, Malvern, PA, 19355, USA
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108
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Kovatchev BP, Lobo B. Clinically-Similar Clusters of Daily CGM Profiles: Tracking the Progression of Glycemic Control Over Time. Diabetes Technol Ther 2023. [PMID: 37130300 DOI: 10.1089/dia.2023.0117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
BACKGROUND The adoption of CGM results in vast amounts of data, but their interpretation is still more art than exact science. The International Consensus on Time in Range (TIR) proposed the widely accepted TIR system of metrics, which we now take forward by introducing a finite and fixed set of clinically-similar clusters (CSCs), such that the TIR metrics of the daily CGM profiles within a cluster are homogeneous. METHODS CSC definition and validation used 204,710 daily CGM profiles in health, type 1 and type 2 diabetes (T1D, T2D), on different treatments. The CSCs were defined using 23,916 daily CGM profiles (Training set), and the final fixed set of CSCs was obtained using another 37,758 profiles (Validation set). The Testing set (143,036 profiles) was used to establish the robustness and generalizability of the CSCs. RESULTS The final set of CSCs contains 32 clusters. Any daily CGM profile was classifiable to a single CSC which approximated common glycemic metrics of the daily CGM profile, as evidenced by regression analyses with 0 intercept (R-squares≥0.83, e.g., correlation≥0.91), for all TIR and several other metrics. The CSCs distinguished CGM profiles in health, T2D, and T1D on different treatments, and allowed tracking of the daily changes in a person's glycemic control over time. CONCLUSION Daily CGM profiles can be classified into one of 32 prefixed CSCs, which enables a host of applications, e.g. tabulated data interpretation and algorithmic approaches to treatment, database indexing, pattern recognition, and tracking disease progression.
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Affiliation(s)
- Boris P Kovatchev
- University of Virginia, 2358, Center for Diabetes Technology, Charlottesville, Virginia, United States;
| | - Benjamin Lobo
- University of Virginia, 2358, School of Data Science, Charlottesville, Virginia, United States;
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Hurteau LB, Hogue NJ. Pharmacy benefit considerations for continuous glucose monitoring acquisition: Vermont Medicaid experience. J Manag Care Spec Pharm 2023; 29:550-556. [PMID: 37121247 PMCID: PMC10387980 DOI: 10.18553/jmcp.2023.29.5.550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
Many individuals with diabetes are not achieving their glycemic goals. Use of continuous glucose monitoring (CGM) improves diabetes management. Access to CGM is often hindered when individuals must acquire their supplies through the traditional durable medical device channel. Vermont Medicaid transitioned CGM coverage from a medical/durable medical equipment benefit to a pharmacy benefit. This improved access and lessened the burden on prescribing health care providers. We describe the process the Vermont Medicaid program implemented to make this transition. DISCLOSURES: Funding for editorial assistance in the development of this manuscript was provided by Abbott Diabetes Care. The funder had no input in the manuscript content. The authors received no compensation.
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110
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Zahid M, Dowlatshahi S, Kansara AH, Sadhu AR. The Evolution of Diabetes Technology - Options Towards Personalized Care. Endocr Pract 2023:S1530-891X(23)00387-7. [PMID: 37100350 DOI: 10.1016/j.eprac.2023.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Revised: 04/12/2023] [Accepted: 04/18/2023] [Indexed: 04/28/2023]
Abstract
Advances in diabetes technology, especially in the last few decades, have transformed our ability to deliver care to persons with diabetes (PWD). Developments in glucose monitoring, especially continuous glucose monitoring systems (CGM), have revolutionized diabetes care and empowered our patients to manage their disease. CGM has also played an integral role in advancing automated insulin delivery systems. Currently available and upcoming advanced hybrid-closed loop systems aim to decrease patient involvement and are approaching the functionality of a fully automated artificial pancreas. Other advances, such as smart insulin pens and daily patch pumps, offer more options for patients and require less complicated and costly technology. Evidence to support the role of diabetes technology is growing, and PWD and clinicians must choose the right type of technology with a personalized strategy to manage diabetes effectively. Here, we review currently available diabetes technologies, summarize their individual features and highlight key patient factors to consider when creating a personalized treatment plan. We also address current challenges and barriers to the adoption of diabetes technologies.
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Affiliation(s)
- Maleeha Zahid
- Fellow, Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, Houston Methodist Hospital, Houston, Texas
| | - Samaneh Dowlatshahi
- Division of Endocrinology, Diabetes & Metabolism, Assistant Clinical Professor, Weill Cornell Medical College, Assistant Professor of Clinical Medicine, Houston Methodist Academic Institute, Houston Methodist Hospital, Houston, Texas
| | - Abhishek H Kansara
- Division of Endocrinology, Diabetes & Metabolism, Assistant Professor of Clinical Medicine, Weill Cornell Medical College, Assistant Professor of Clinical Medicine, Houston Methodist Academic Institute, Adjunct Assistant Professor, Texas A&M University College of Medicine, Houston Methodist Hospital, Houston, Texas
| | - Archana R Sadhu
- System Director, Diabetes Program at Houston Methodist, Medical Director, Pancreas Transplantation and Transplant Endocrinology, Houston Methodist J.C. Walter Jr. Transplant Center, Assistant Clinical Professor, Weill Cornell Medical College, Adjunct Assistant Professor, Texas A&M Health Sciences.
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111
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Keshet A, Shilo S, Godneva A, Talmor-Barkan Y, Aviv Y, Segal E, Rossman H. CGMap: Characterizing continuous glucose monitor data in thousands of non-diabetic individuals. Cell Metab 2023; 35:758-769.e3. [PMID: 37080199 DOI: 10.1016/j.cmet.2023.04.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 01/27/2023] [Accepted: 04/04/2023] [Indexed: 04/22/2023]
Abstract
Despite its rising prevalence, diabetes diagnosis still relies on measures from blood tests. Technological advances in continuous glucose monitoring (CGM) devices introduce a potential tool to expand our understanding of glucose control and variability in people with and without diabetes. Yet CGM data have not been characterized in large-scale healthy cohorts, creating a lack of reference for CGM data research. Here we present CGMap, a characterization of CGM data collected from over 7,000 non-diabetic individuals, aged 40-70 years, between 2019 and 2022. We provide reference values of key CGM-derived clinical measures that can serve as a tool for future CGM research. We further explored the relationship between CGM-derived measures and diabetes-related clinical parameters, uncovering several significant relationships, including associations of mean blood glucose with measures from fundus imaging and sleep monitoring. These findings offer novel research directions for understanding the influence of glucose levels on various aspects of human health.
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Affiliation(s)
- Ayya Keshet
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Smadar Shilo
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel; The Jesse and Sara Lea Shafer Institute of Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
| | - Anastasia Godneva
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Yeela Talmor-Barkan
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel; Department of Cardiology, Rabin Medical Center, Petah-Tikva, Israel
| | - Yaron Aviv
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel; Department of Cardiology, Rabin Medical Center, Petah-Tikva, Israel
| | - Eran Segal
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
| | - Hagai Rossman
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel; Pheno.AI, Tel-Aviv, Israel.
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112
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Reaven PD, Newell M, Rivas S, Zhou X, Norman GJ, Zhou JJ. Initiation of Continuous Glucose Monitoring Is Linked to Improved Glycemic Control and Fewer Clinical Events in Type 1 and Type 2 Diabetes in the Veterans Health Administration. Diabetes Care 2023; 46:854-863. [PMID: 36807492 PMCID: PMC10260873 DOI: 10.2337/dc22-2189] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 01/23/2023] [Indexed: 02/19/2023]
Abstract
OBJECTIVE To determine the benefit of starting continuous glucose monitoring (CGM) in adult-onset type 1 diabetes (T1D) and type 2 diabetes (T2D) with regard to longer-term glucose control and serious clinical events. RESEARCH DESIGN AND METHODS A retrospective observational cohort study within the Veterans Affairs Health Care System was used to compare glucose control and hypoglycemia- or hyperglycemia-related admission to an emergency room or hospital and all-cause hospitalization between propensity score overlap weighted initiators of CGM and nonusers over 12 months. RESULTS CGM users receiving insulin (n = 5,015 with T1D and n = 15,706 with T2D) and similar numbers of nonusers were identified from 1 January 2015 to 31 December 2020. Declines in HbA1c were significantly greater in CGM users with T1D (-0.26%; 95% CI -0.33, -0.19%) and T2D (-0.35%; 95% CI -0.40, -0.31%) than in nonusers at 12 months. Percentages of patients achieving HbA1c <8 and <9% after 12 months were greater in CGM users. In T1D, CGM initiation was associated with significantly reduced risk of hypoglycemia (hazard ratio [HR] 0.69; 95% CI 0.48, 0.98) and all-cause hospitalization (HR 0.75; 95% CI 0.63, 0.90). In patients with T2D, there was a reduction in risk of hyperglycemia in CGM users (HR 0.87; 95% CI 0.77, 0.99) and all-cause hospitalization (HR 0.89; 95% CI 0.83, 0.97). Several subgroups (based on baseline age, HbA1c, hypoglycemic risk, or follow-up CGM use) had even greater responses. CONCLUSIONS In a large national cohort, initiation of CGM was associated with sustained improvement in HbA1c in patients with later-onset T1D and patients with T2D using insulin. This was accompanied by a clear pattern of reduced risk of admission to an emergency room or hospital for hypoglycemia or hyperglycemia and of all-cause hospitalization.
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Affiliation(s)
| | | | - Salvador Rivas
- Phoenix Veterans Affairs Health Care System, Phoenix, AZ
| | - Xinkai Zhou
- Medicine and Biostatistics, University of California Los Angeles, Los Angeles, CA
| | | | - Jin J. Zhou
- Phoenix Veterans Affairs Health Care System, Phoenix, AZ
- Medicine and Biostatistics, University of California Los Angeles, Los Angeles, CA
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113
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de Boer IH, Hirsch IB. Continuous Glucose Monitoring: A Rapidly Evolving New Tool to Understand Pathophysiology and Enhance Clinical Care in CKD. Clin J Am Soc Nephrol 2023; 18:421-423. [PMID: 36914585 PMCID: PMC10103192 DOI: 10.2215/cjn.0000000000000125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Affiliation(s)
- Ian H. de Boer
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington
- Kidney Research Institute, University of Washington, Seattle, Washington
- University of Washington Medicine Diabetes Institute, University of Washington, Seattle, Washington
| | - Irl B. Hirsch
- Kidney Research Institute, University of Washington, Seattle, Washington
- University of Washington Medicine Diabetes Institute, University of Washington, Seattle, Washington
- Division of Metabolism, Endocrinology, and Nutrition, Department of Medicine, University of Washington, Seattle, Washington
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114
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Type 2 Decompensated Diabetes Mellitus Weaned off Subcutaneous Insulin Therapy by Utilizing a Continuous Glucose Monitoring Device. Cureus 2023; 15:e36970. [PMID: 37012944 PMCID: PMC10065865 DOI: 10.7759/cureus.36970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/30/2023] [Indexed: 04/03/2023] Open
Abstract
A case series was conducted on three patients diagnosed with decompensated type 2 diabetes mellitus (T2DM) who had hemoglobin A1c (HbA1c) levels ranging from 9.5% to above 14%. Patients were self-monitoring blood glucose (SMBG) levels four times a day. These patients were seen at the resident continuity clinic and were placed on continuous glucose monitor (CGM) devices to monitor their blood glucose levels. To improve the effectiveness of the treatment closely, a CGM team consisting of transitional year and internal medicine residents was arranged. The CGM team provided comprehensive education and written instructions on dietary changes, insulin administration, and physical activity at monthly follow-up appointments. Before the instructions were given to the patients, they were reviewed and approved by the supervising attending physician who was a board-certified endocrinologist. Our CGM team successfully managed these three patients with T2DM by tailoring their insulin regimens by using real-time CGM data. With the help of close CGM monitoring, patients were successfully transitioned from requiring multiple subcutaneous insulin injections to oral anti-diabetics. After the transition, patients’ T2DM remained well-controlled with an HbA1c level of less than 7% at their follow-up appointments. This case series demonstrated the successful implementation of CGM-guided T2DM treatment in a continuity clinic managed by residents. To our knowledge, the use of CGM-guided T2DM treatment in the setting of resident care has never been reported in the United States before. This may serve as a benchmark for other continuity clinics which residents run across the country.
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Almurashi AM, Rodriguez E, Garg SK. Emerging Diabetes Technologies: Continuous Glucose Monitors/Artificial Pancreases. J Indian Inst Sci 2023; 103:1-26. [PMID: 37362851 PMCID: PMC10043869 DOI: 10.1007/s41745-022-00348-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 11/04/2022] [Indexed: 03/30/2023]
Abstract
Over the past decade there have been many advances in diabetes technologies, such as continuous glucose monitors (CGM s), insulin-delivery devices, and hybrid closed loop systems . Now most CGMs (Medtronic-Guardian, Dexcom-G6, and Abbott-Libre-2) have MARD values of < 10%, in contrast to two decades ago when the MARD used to be > 20%. In addition, the majority of the new CGMs do not require calibrations, and the latest CGMs last for 10-14 days. An implantable 6-months CGM by Eversense-3 is now approved in the USA and Europe. Recently, the FDA approved Libre 3 which provides real-time glucose values every minute. Even though it is approved as an iCGM it is not interoperable with automatic-insulin-delivery (AID) systems. The newer CGMs that are likely to be launched in the next few months in the USA include the 10-11 days Dexcom G7 (60% smaller than the existing G6), and the 7-days Medtronic Guardian 4. Most of the newer CGM have several features like automatic initialization, easy insertion, predictive alarms, and alerts. It has also been noticed that an arm insertion site might have better accuracy than abdomen or other sites, like the buttock for kids. Lag time between YSI and different sensors have been reported differently, sometimes it is down to 2-3 min; however, in many instances, it is still 15-20 min, especially when the rate of change of glucose is > 2 mg/min. We believe that in the next decade there will be a significant increase in the number of people who use CGM for their day-to-day diabetes care.
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Affiliation(s)
- Abdulhalim M. Almurashi
- Barbara Davis Center for Diabetes, University of Colorado Denver, 1775 Aurora Ct, Rm 1324, Aurora, CO 80045 USA
- Madinah Health Cluster, Madinah, Saudi Arabia
| | - Erika Rodriguez
- Barbara Davis Center for Diabetes, University of Colorado Denver, 1775 Aurora Ct, Rm 1324, Aurora, CO 80045 USA
| | - Satish K. Garg
- Barbara Davis Center for Diabetes, University of Colorado Denver, 1775 Aurora Ct, Rm 1324, Aurora, CO 80045 USA
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Abstract
Wearable devices, such as smartwatches and activity trackers, are commonly used by patients in their everyday lives to manage their health and well-being. These devices collect and analyze long-term continuous data on measures of behavioral or physiologic function, which may provide clinicians with a more comprehensive view of a patients' health compared with the traditional sporadic measures captured by office visits and hospitalizations. Wearable devices have a wide range of potential clinical applications ranging from arrhythmia screening of high-risk individuals to remote management of chronic conditions such as heart failure or peripheral artery disease. As the use of wearable devices continues to grow, we must adopt a multifaceted approach with collaboration among all key stakeholders to effectively and safely integrate these technologies into routine clinical practice. In this Review, we summarize the features of wearable devices and associated machine learning techniques. We describe key research studies that illustrate the role of wearable devices in the screening and management of cardiovascular conditions and identify directions for future research. Last, we highlight the challenges that are currently hindering the widespread use of wearable devices in cardiovascular medicine and provide short- and long-term solutions to promote increased use of wearable devices in clinical care.
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Affiliation(s)
- Andrew Hughes
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | | | - Hiral Master
- Vanderbilt Institute of Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN
| | - Jessilyn Dunn
- Department of Biomedical Engineering, Duke University, Durham, NC
- Department of Biostatistics & Bioinformatics, Duke University, Durham, NC
| | - Evan Brittain
- Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN
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Shah VN, Vigers T, Pyle L, Calhoun P, Bergenstal RM. Discordance Between Glucose Management Indicator and Glycated Hemoglobin in People Without Diabetes. Diabetes Technol Ther 2023; 25:324-328. [PMID: 36790875 DOI: 10.1089/dia.2022.0544] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
Background: In recent years, continuous glucose monitor (CGM) use is increasing in people without diabetes to promote healthy lifestyle. CGM metrics such as glucose management indicator (GMI), a statistical formula to estimate glycated hemoglobin (HbA1c) from sensor glucose, is commonly used to approximate HbA1c. This study was aimed to evaluate discordance between GMI and HbA1c in people without diabetes. Methods: Children and nonpregnant adults (age ≥6 years) without diabetes (laboratory HbA1c <5.7% and negative islet antibodies) were invited to participate in a multicenter prospective study aimed to evaluate glycemic profiles in nondiabetic individuals. Each participant wore a blinded Dexcom G6 for up to 10 days. GMI was calculated from mean sensor glucose and discordance between GMI and HbA1c was analyzed. Results: Of 201 screened participants, 153 participants (mean age 31.2 ± 21.0 years, 66.0% female, HbA1c 5.1% ± 0.3%) were included in the analysis. Mean GMI was 0.59% higher than laboratory HbA1c in participants without diabetes. The discordance between GMI and HbA1c of 0.4% or greater was 71% in participants without diabetes compared with 39% in the original GMI development cohort. Conclusion: GMI does not accurately estimate HbA1c in healthy people without diabetes. Clinical trial registration number is: NCT00717977.
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Affiliation(s)
- Viral N Shah
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Tim Vigers
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Laura Pyle
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Peter Calhoun
- Jaeb Center for Health Research, Tampa, Florida, USA
| | - Richard M Bergenstal
- International Diabetes Center, HealthPartners Institute, Minneapolis, Minnesota, USA
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118
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Chao C, Andrade SB, Bergford S, Calhoun P, Welsh JB, Walker TC. Assessing non-adjunctive CGM safety at home and in new markets (ANSHIN). Endocrinol Diabetes Metab 2023; 6:e414. [PMID: 36864014 PMCID: PMC10164430 DOI: 10.1002/edm2.414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 02/13/2023] [Accepted: 02/18/2023] [Indexed: 03/04/2023] Open
Abstract
INTRODUCTION Continuous glucose monitoring (CGM) can guide treatment for people with type 1 (T1D) and type 2 diabetes (T2D). The ANSHIN study assessed the impact of non-adjunctive CGM use in adults with diabetes using intensive insulin therapy (IIT). MATERIALS AND METHODS This single-arm, prospective, interventional study enrolled adults with T1D or T2D who had not used CGM in the prior 6 months. Participants wore blinded CGMs (Dexcom G6) during a 20-day run-in phase, with treatment based on fingerstick glucose values, followed by a 16-week intervention phase and then a randomized 12-week extension phase with treatment based on CGM values. The primary outcome was change in HbA1c. Secondary outcomes were CGM metrics. Safety endpoints were the number of severe hypoglycaemic (SH) and diabetic ketoacidosis (DKA) events. RESULTS Of the 77 adults enrolled, 63 completed the study. Those enrolled had mean (SD) baseline HbA1c of 9.8% (1.9%), 36% had T1D, and 44% were ≥65 years old. Mean HbA1c decreased by 1.3, 1.0 and 1.0 percentage points for participants with T1D, T2D or age ≥65, respectively (p < .001 for each). CGM-based metrics including time in range also improved significantly. SH events decreased from the run-in period (67.3 per 100 person-years) to the intervention period (17.0 per 100 person-years). Three DKA events unrelated to CGM use occurred during the total intervention period. CONCLUSIONS Non-adjunctive use of the Dexcom G6 CGM system improved glycaemic control and was safe for adults using IIT.
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Affiliation(s)
| | | | | | - Peter Calhoun
- Jaeb Center for Health Research, Tampa, Florida, USA
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119
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Salam M, Bailey R, Calhoun P, McGill JB, Bergenstal RM, Price D, Beck RW. A Comparison of Continuous Glucose Monitoring Estimated Hemoglobin A1c in Adults with Type 1 or Type 2 Diabetes. Diabetes Technol Ther 2023; 25:178-185. [PMID: 36472504 DOI: 10.1089/dia.2022.0387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Background: The relationship of mean glucose measured with continuous glucose monitoring (CGM) and hemoglobin A1c (HbA1c) shows considerable variability between individuals with diabetes and may be influenced by race-related factors. Whether the relationship of mean glucose with HbA1c varies according to type 1 diabetes (T1D) or type 2 diabetes (T2D) has not been well evaluated. Methods: Data from 343 participants in four clinical trials (191 with T1D and 152 with T2D) were analyzed. Least squares linear regression models were fit with HbA1c as the dependent variable and mean glucose as the independent variable. Results: Mean age was 57 ± 15 years in the T1D cohort and 58 ± 10 years in the T2D cohort. The T1D cohort was 89% White non-Hispanic, 5% African American, 3% Hispanic, and 3% other or mixed race compared with 52%, 16%, 22%, and 9%, respectively, in the T2D cohort. The relationship between CGM-measured mean glucose and laboratory-measured HbA1c significantly differed between T1D and T2D cohorts, with HbA1c on average being higher with T2D than T1D for the same mean glucose (P = 0.002). However, this difference was largely attributable to the difference in the proportion of African Americans between T1D and T2D; and after stratifying by race, the mean glucose-HbA1c relationship showed only a small difference between T1D non-African Americans and T2D non-African Americans. The mean glucose-HbA1c relationship appeared similar for White non-Hispanic and Hispanic individuals. Conclusion: HbA1c on average was higher in T2D than T1D for a given mean glucose, but after accounting for race, there was no meaningful difference in the mean glucose-HbA1c relationship comparing T1D and T2D. The mean glucose-HbA1c relationship differs in African American compared with White individuals, but does not appear to differ comparing White non-Hispanic to Hispanic individuals. The published glucose management indicator formula appears to be suitable for both T1D and T2D.
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Affiliation(s)
- Maamoun Salam
- Division of Endocrinology, Metabolism and Lipid Research, Washington University School of Medicine, St. Louis, MO
| | - Ryan Bailey
- Jaeb Center for Health Research, Tampa, Florida
| | | | - Janet B McGill
- Division of Endocrinology, Metabolism and Lipid Research, Washington University School of Medicine, St. Louis, MO
| | - Richard M Bergenstal
- International Diabetes Center, HealthPartners Institute, Minneapolis, Minnesota, USA
| | | | - Roy W Beck
- Jaeb Center for Health Research, Tampa, Florida
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120
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McCall AL, Lieb DC, Gianchandani R, MacMaster H, Maynard GA, Murad MH, Seaquist E, Wolfsdorf JI, Wright RF, Wiercioch W. Management of Individuals With Diabetes at High Risk for Hypoglycemia: An Endocrine Society Clinical Practice Guideline. J Clin Endocrinol Metab 2023; 108:529-562. [PMID: 36477488 DOI: 10.1210/clinem/dgac596] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Indexed: 12/12/2022]
Abstract
CONTEXT Hypoglycemia in people with diabetes is common, especially in those taking medications such as insulin and sulfonylureas (SU) that place them at higher risk. Hypoglycemia is associated with distress in those with diabetes and their families, medication nonadherence, and disruption of life and work, and it leads to costly emergency department visits and hospitalizations, morbidity, and mortality. OBJECTIVE To review and update the diabetes-specific parts of the 2009 Evaluation and Management of Adult Hypoglycemic Disorders: Endocrine Society Clinical Practice Guideline and to address developing issues surrounding hypoglycemia in both adults and children living with diabetes. The overriding objectives are to reduce and prevent hypoglycemia. METHODS A multidisciplinary panel of clinician experts, together with a patient representative, and methodologists with expertise in evidence synthesis and guideline development, identified and prioritized 10 clinical questions related to hypoglycemia in people living with diabetes. Systematic reviews were conducted to address all the questions. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology was used to assess the certainty of evidence and make recommendations. RESULTS The panel agreed on 10 questions specific to hypoglycemia risk and prevention in people with diabetes for which 10 recommendations were made. The guideline includes conditional recommendations for use of real-time continuous glucose monitoring (CGM) and algorithm-driven insulin pumps in people with type 1 diabetes (T1D), use of CGM for outpatients with type 2 diabetes at high risk for hypoglycemia, use of long-acting and rapid-acting insulin analogs, and initiation of and continuation of CGM for select inpatient populations at high risk for hypoglycemia. Strong recommendations were made for structured diabetes education programs for those at high risk for hypoglycemia, use of glucagon preparations that do not require reconstitution vs those that do for managing severe outpatient hypoglycemia for adults and children, use of real-time CGM for individuals with T1D receiving multiple daily injections, and the use of inpatient glycemic management programs leveraging electronic health record data to reduce the risk of hypoglycemia. CONCLUSION The recommendations are based on the consideration of critical outcomes as well as implementation factors such as feasibility and values and preferences of people with diabetes. These recommendations can be used to inform clinical practice and health care system improvement for this important complication for people living with diabetes.
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Affiliation(s)
- Anthony L McCall
- University of Virginia Medical School, Department of Medicine, Division of Endocrinology and Metabolism, Charlottesville, VA 22901, USA
| | - David C Lieb
- Eastern Virginia Medical School, Division of Endocrine and Metabolic Disorders, Department of Medicine, Norfolk, VA 23510, USA
| | | | | | | | - M Hassan Murad
- Mayo Clinic Evidence-Based Practice Center, Rochester, MN 55905, USA
| | - Elizabeth Seaquist
- Diabetes Center and the Division of Endocrinology & Metabolism, Minneapolis, MN 55455, USA
| | - Joseph I Wolfsdorf
- Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | | | - Wojtek Wiercioch
- McMaster University GRADE Centre and Michael G. DeGroote Cochrane Canada Centre Department of Health Research Methods, Evidence, and Impact, Hamilton, ON, L8S 4L8, Canada
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121
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Torres Roldan VD, Urtecho M, Nayfeh T, Firwana M, Muthusamy K, Hasan B, Abd-Rabu R, Maraboto A, Qoubaitary A, Prokop L, Lieb DC, McCall AL, Wang Z, Murad MH. A Systematic Review Supporting the Endocrine Society Guidelines: Management of Diabetes and High Risk of Hypoglycemia. J Clin Endocrinol Metab 2023; 108:592-603. [PMID: 36477885 DOI: 10.1210/clinem/dgac601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Indexed: 12/12/2022]
Abstract
CONTEXT Interventions targeting hypoglycemia in people with diabetes are important for improving quality of life and reducing morbidity and mortality. OBJECTIVE To support development of the Endocrine Society Clinical Practice Guideline for management of individuals with diabetes at high risk for hypoglycemia. METHODS We searched several databases for studies addressing 10 questions provided by a guideline panel from the Endocrine Society. Meta-analysis was conducted when feasible. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology was used to assess certainty of evidence. RESULTS We included 149 studies reporting on 43 344 patients. Continuous glucose monitoring (CGM) reduced episodes of severe hypoglycemia in patients with type 1 diabetes (T1D) and reduced the proportion of patients with hypoglycemia (blood glucose [BG] levels <54 mg/dL). There were no data on use of real-time CGM with algorithm-driven insulin pumps vs multiple daily injections with BG testing in people with T1D. CGM in outpatients with type 2 diabetes taking insulin and/or sulfonylureas reduced time spent with BG levels under 70 mg/dL. Initiation of CGM in hospitalized patients at high risk for hypoglycemia reduced episodes of hypoglycemia with BG levels lower than 54 mg/dL and time spent under 54 mg/dL. The proportion of patients with hypoglycemia with BG levels lower than 70 mg/dL and lower than 54 mg/dL detected by CGM was significantly higher than point-of-care BG testing. We found no data evaluating continuation of personal CGM in the hospital. Use of an inpatient computerized glycemic management program utilizing electronic health record data was associated with fewer patients with and episodes of hypoglycemia with BG levels lower than 70 mg/dL and fewer patients with severe hypoglycemia compared with standard care. Long-acting basal insulin analogs were associated with less hypoglycemia. Rapid-acting insulin analogs were associated with reduced severe hypoglycemia, though there were more patients with mild to moderate hypoglycemia. Structured diabetes education programs reduced episodes of severe hypoglycemia and time below 54 mg/dL in outpatients taking insulin. Glucagon formulations not requiring reconstitution were associated with longer times to recovery from hypoglycemia, although the proportion of patients who recovered completely from hypoglycemia was not different between the 2 groups. CONCLUSION This systematic review summarized the best available evidence about several interventions addressing hypoglycemia in people with diabetes. This evidence base will facilitate development of clinical practice guidelines by the Endocrine Society.
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Affiliation(s)
| | - Meritxell Urtecho
- Mayo Clinic Evidence-Based Practice Center, Rochester, MN 55902, USA
| | - Tarek Nayfeh
- Mayo Clinic Evidence-Based Practice Center, Rochester, MN 55902, USA
| | - Mohammed Firwana
- Mayo Clinic Evidence-Based Practice Center, Rochester, MN 55902, USA
| | | | - Bashar Hasan
- Mayo Clinic Evidence-Based Practice Center, Rochester, MN 55902, USA
| | - Rami Abd-Rabu
- Mayo Clinic Evidence-Based Practice Center, Rochester, MN 55902, USA
| | - Andrea Maraboto
- Knowledge and Evaluation Research Unit, Department of Medicine, Mayo Clinic, Rochester, MN 55902, USA
| | - Amjad Qoubaitary
- College of Arts and Science, University of San Francisco, San Francisco, CA 94117, USA
| | - Larry Prokop
- Department of Library Services, Mayo Clinic, Rochester, MN 55902, USA
| | - David C Lieb
- Division of Endocrine and Metabolic Disorders, Department of Internal Medicine, Eastern Virginia Medical School, Norfolk, VA 23501-1980, USA
| | - Anthony L McCall
- Division of Endocrinology and Metabolism, Department of Medicine, University of Virginia School of Medicine, Charlottesville, VA 22908, USA
| | - Zhen Wang
- Mayo Clinic Evidence-Based Practice Center, Rochester, MN 55902, USA
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Messer LH, Addala A, Weinzimer SA. Real-World Diabetes Technology: Overcoming Barriers and Disparities. Diabetes Technol Ther 2023; 25:S176-S190. [PMID: 36802191 DOI: 10.1089/dia.2023.2511] [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: 02/23/2023]
Affiliation(s)
- Laurel H Messer
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Ananta Addala
- Division of Pediatric Endocrinology & Diabetes, Department of Pediatrics, Stanford University, Palo Alto, CA, USA
| | - Stuart A Weinzimer
- Department of Pediatrics, Yale University School of Medicine, New Haven, CT, USA
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123
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Bailey R, Calhoun P, Bergenstal RM, Beck RW. Assessment of the Glucose Management Indicator Using Different Sampling Durations. Diabetes Technol Ther 2023; 25:148-150. [PMID: 36130138 DOI: 10.1089/dia.2022.0284] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
We compared the glucose management indicator (GMI) calculated using 14 days of continuous glucose monitor (CGM) data with GMI calculated using <14 days. Analysis included 581 individuals with type 1 diabetes or type 2 diabetes from five clinical trials. The correlation between the 14- and 7-day GMI was 0.95 and the correlation between 14 days versus 10, 5, and 3 days GMI was 0.98, 0.91, and 0.86, respectively. The percentages of GMI values within 0.3% of the 14-day GMI were 98% with 10-day GMI, 87% with 7-day GMI, 77% with 5-day GMI, and 60% with 3-day GMI. Minimal differences were observed between GMI computed using 14 days of data compared with GMI computed with 7 days. Although 10-14 days of CGM data are preferred for computing GMI, for most patients a satisfactory estimate of HbA1c can be obtained with 7 days of data.
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Affiliation(s)
- Ryan Bailey
- Jaeb Center for Health Research, Tampa, Florida, USA
| | - Peter Calhoun
- Jaeb Center for Health Research, Tampa, Florida, USA
| | - Richard M Bergenstal
- International Diabetes Center, HealthPartners Institute, Minneapolis, Minnesota, USA
| | - Roy W Beck
- Jaeb Center for Health Research, Tampa, Florida, USA
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124
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Boeder S, Matamoros D, Mansy C. Practical Guidance for Healthcare Providers on Collaborating with People with Type 2 Diabetes: Advancing Treatment and Initiating Injectable Therapy. Diabetes Ther 2023; 14:425-446. [PMID: 36520406 PMCID: PMC9943835 DOI: 10.1007/s13300-022-01330-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 10/25/2022] [Indexed: 12/23/2022] Open
Abstract
Type 2 diabetes (T2D) progresses over time, and to achieve and maintain adequate glucose control, many people eventually require injectable therapies such as insulin. However, there can be significant barriers to the initiation of these medications, both from people living with T2D and from healthcare practitioners (HCPs). Misconceptions and misinformation relating to the potential risks and benefits of injectable therapies are common and can contribute to negative perceptions regarding their use. Additionally, HCPs are often unaware of the emotional burden associated with T2D. In particular, diabetes distress is a key contributory factor that needs to be addressed to alleviate fears before diabetes education can be successful. The onus is often on the HCP to initiate effective, individualized communication with each patient and make that person feel an active and equal participant in the management of their T2D. Shared decision-making has been demonstrated to improve understanding of the pathophysiology and treatment options, to increase risk awareness, adherence, and persistence, and to improve self-management behaviors (e.g., exercise, self-care) and patient satisfaction. While therapeutic inertia can result from both patient and HCP, HCPs need to bear the responsibility for escalating therapy when necessary. A proactive approach by the HCP, combined with shared decision-making and a patient-centric approach, are important for optimal T2D management; therefore, an open and effective relationship between the HCP and the person living with T2D is essential. This article is written by a person with T2D, a nurse practitioner/Certified Diabetes Care and Education Specialist, and a clinical endocrinologist, with the goal of providing a holistic view of the management experience, exploring patient needs and expectations, recognizing and avoiding HCP and patient barriers, and providing practical advice to HCPs to empower patients who would benefit from injectable therapy.Infographic and video abstract available for this article.
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Affiliation(s)
- Schafer Boeder
- Division of Endocrinology and Metabolism, Altman Clinical and Translational Research Institute, University of California San Diego, La Jolla, CA, USA.
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125
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Ni K, Tampe CA, Sol K, Richardson DB, Pereira RI. Effect of CGM Access Expansion on Uptake Among Patients on Medicaid With Diabetes. Diabetes Care 2023; 46:391-398. [PMID: 36480729 PMCID: PMC9887615 DOI: 10.2337/dc22-1287] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 11/07/2022] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Current studies on continuous glucose monitor (CGM) uptake are revealing for significant barriers and inequities for CGM use among patients from socially underprivileged communities. This study explores the effect of full subsidies regardless of diabetes type on CGM uptake and HbA1c outcomes in a U.S. adult patient population on Medicaid. RESEARCH DESIGN AND METHODS This retrospective cohort study examined 3,036 adults with diabetes enrolled in a U.S. Medicaid program that fully subsidized CGM. CGM uptake and adherence were assessed by CGM prescription and dispense data, including more than one fill and adherence by medication possession ratio (MPR). Multivariate logistic regression evaluated predictors of CGM uptake. Pre- and post-CGM use HbA1c were compared. RESULTS CGM were very well received by both individuals with type 1 diabetes and individuals with type 2 diabetes with similar high fill adherence levels (mean MPR 0.78 vs. 0.72; P = 0.06). No significant difference in CGM uptake outcomes were noted among major racial/ethnic groups. CGM use was associated with improved HbA1c among those with type 2 diabetes (-1.2% [13.1 mmol/mol]; P < 0.001) that was comparable between major racial/ethnic groups and those with higher fill adherence achieved greater HbA1c reduction (-1.4% [15.3 mmol/mol]; P < 0.001) compared with those with lower adherence (-1.0% [10.9 mmol/mol]; P < 0.001). CONCLUSIONS CGM uptake disparities can largely be overcome by eliminating CGM cost barriers. CGM use was associated with improved HbA1c across all major racial/ethnic groups, highlighting broad CGM appeal, utilization, and effectiveness across an underprivileged patient population.
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Affiliation(s)
- Kevin Ni
- Medicine Service–Endocrinology, Denver Health, Denver, CO
- Department of Medicine, University of Colorado, Aurora, CO
| | | | - Kayce Sol
- Medicine Service–Endocrinology, Denver Health, Denver, CO
| | | | - Rocio I. Pereira
- Medicine Service–Endocrinology, Denver Health, Denver, CO
- Department of Medicine, University of Colorado, Aurora, CO
- Corresponding author: Rocio I. Pereira,
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Eysenbach G, Sharma A, Green CR, Norman GJ, Thomas R, Leone K. Glycemic Outcomes and Feature Set Engagement Among Real-Time Continuous Glucose Monitoring Users With Type 1 or Non-Insulin-Treated Type 2 Diabetes: Retrospective Analysis of Real-World Data. JMIR Diabetes 2023; 8:e43991. [PMID: 36602920 PMCID: PMC9947825 DOI: 10.2196/43991] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 12/15/2022] [Accepted: 01/05/2023] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND The benefits of real-time continuous glucose monitoring (RT-CGM) are well established for patients with type 1 diabetes (T1D) and patients with insulin-treated type 2 diabetes (T2D). However, the usage and effectiveness of RT-CGM in the context of non-insulin-treated T2D has not been well studied. OBJECTIVE We aimed to assess glycemic metrics and rates of RT-CGM feature utilization in users with T1D and non-insulin-treated T2D. METHODS We retrospectively analyzed data from 33,685 US-based users of an RT-CGM system (Dexcom G6; Dexcom, Inc) who self-identified as having either T1D (n=26,706) or T2D and not using insulin (n=6979). Data included glucose concentrations, alarm settings, feature usage, and event logs. RESULTS The T1D cohort had lower proportions of glucose values in the 70 mg/dl to 180 mg/dl range than the T2D cohort (52.1% vs 70.8%, respectively), with more values indicating hypoglycemia or hyperglycemia and higher glycemic variability. Discretionary alarms were enabled by a large majority in both cohorts. The data sharing feature was used by 38.7% (10,327/26,706) of those with T1D and 10.4% (727/6979) of those with T2D, and the mean number of followers was higher in the T1D cohort. Large proportions of patients with T1D or T2D enabled and customized their glucose alerts. Retrospective analysis features were used by the majority in both cohorts (T1D: 15,783/26,706, 59.1%; T2D: 3751/6979, 53.8%). CONCLUSIONS Similar to patients with T1D, patients with non-insulin-treated T2D used RT-CGM system features, suggesting beneficial, routine engagement with data by patients and others involved in their care. Motivated patients with diabetes could benefit from RT-CGM coverage.
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Affiliation(s)
| | | | - Courtney R Green
- Department of Medical Affairs, Dexcom, Inc, San Diego, CA, United States
| | - Gregory J Norman
- Department of Global Access, Dexcom, Inc, San Diego, CA, United States
| | - Roy Thomas
- Department of Medical Affairs, Dexcom, Inc, San Diego, CA, United States
| | - Keri Leone
- Department of Medical Affairs, Dexcom, Inc, San Diego, CA, United States
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ElSayed NA, Aleppo G, Aroda VR, Bannuru RR, Brown FM, Bruemmer D, Collins BS, Hilliard ME, Isaacs D, Johnson EL, Kahan S, Khunti K, Leon J, Lyons SK, Perry ML, Prahalad P, Pratley RE, Seley JJ, Stanton RC, Gabbay RA, on behalf of the American Diabetes Association. 7. Diabetes Technology: Standards of Care in Diabetes-2023. Diabetes Care 2023; 46:S111-S127. [PMID: 36507635 PMCID: PMC9810474 DOI: 10.2337/dc23-s007] [Citation(s) in RCA: 132] [Impact Index Per Article: 132.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Yoo JH, Kim JH. Advances in Continuous Glucose Monitoring and Integrated Devices for Management of Diabetes with Insulin-Based Therapy: Improvement in Glycemic Control. Diabetes Metab J 2023; 47:27-41. [PMID: 36635028 PMCID: PMC9925143 DOI: 10.4093/dmj.2022.0271] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 09/28/2022] [Indexed: 01/14/2023] Open
Abstract
Continuous glucose monitoring (CGM) technology has evolved over the past decade with the integration of various devices including insulin pumps, connected insulin pens (CIPs), automated insulin delivery (AID) systems, and virtual platforms. CGM has shown consistent benefits in glycemic outcomes in type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM) treated with insulin. Moreover, the combined effect of CGM and education have been shown to improve glycemic outcomes more than CGM alone. Now a CIP is the expected future technology that does not need to be worn all day like insulin pumps and helps to calculate insulin doses with a built-in bolus calculator. Although only a few clinical trials have assessed the effectiveness of CIPs, they consistently show benefits in glycemic outcomes by reducing missed doses of insulin and improving problematic adherence. AID systems and virtual platforms made it possible to achieve target glycosylated hemoglobin in diabetes while minimizing hypoglycemia, which has always been challenging in T1DM. Now fully automatic AID systems and tools for diabetes decisions based on artificial intelligence are in development. These advances in technology could reduce the burden associated with insulin treatment for diabetes.
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Affiliation(s)
- Jee Hee Yoo
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jae Hyeon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Korea
- Corresponding author: Jae Hyeon Kim https://orcid.org/0000-0001-5001-963X Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Korea E-mail:
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ElSayed NA, Aleppo G, Aroda VR, Bannuru RR, Brown FM, Bruemmer D, Collins BS, Hilliard ME, Isaacs D, Johnson EL, Kahan S, Khunti K, Leon J, Lyons SK, Perry ML, Prahalad P, Pratley RE, Seley JJ, Stanton RC, Gabbay RA. 6. Glycemic Targets: Standards of Care in Diabetes-2023. Diabetes Care 2023; 46:S97-S110. [PMID: 36507646 PMCID: PMC9810469 DOI: 10.2337/dc23-s006] [Citation(s) in RCA: 255] [Impact Index Per Article: 255.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Galindo RJ, de Boer IH, Neumiller JJ, Tuttle KR. Continuous Glucose Monitoring to Optimize Management of Diabetes in Patients with Advanced CKD. Clin J Am Soc Nephrol 2023; 18:130-145. [PMID: 36719162 PMCID: PMC10101590 DOI: 10.2215/cjn.04510422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Treatment of patients with diabetes and CKD includes optimizing glycemic control using lifestyle modifications and drugs that safely control glycemia and improve clinical kidney and cardiovascular disease outcomes. However, patients with advanced CKD, defined as eGFR <30 ml/min per 1.73 m2 or kidney disease treated with dialysis, have limitations to the use of some preferred glucose-lowering medications, are often treated with insulin, and experience high rates of severe hypoglycemia. Moreover, hemoglobin A1c accuracy decreases as GFR deteriorates. Hence, there is a need for better glycemic monitoring tools. Continuous glucose monitoring allows for 24-hour glycemic monitoring to understand patterns and the effects of lifestyle and medications. Real-time continuous glucose monitoring can be used to guide the administration of insulin and noninsulin therapies. Continuous glucose monitoring can overcome the limitations of self-monitored capillary glucose testing and hemoglobin A1c and has been shown to prevent hypoglycemic excursions in some populations. More data are needed to understand whether similar benefits can be obtained for patients with diabetes and advanced CKD. This review provides an updated approach to management of glycemia in advanced CKD, focusing on the role of continuous glucose monitoring in this high-risk population.
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Affiliation(s)
- Rodolfo J. Galindo
- Division of Endocrinology, Emory University School of Medicine, Atlanta, Georgia
| | - Ian H. de Boer
- Division of Nephrology and Kidney Research Institute, University of Washington, Seattle, Washington
| | - Joshua J. Neumiller
- Department of Pharmacotherapy, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington
| | - Katherine R. Tuttle
- Nephrology Division, Kidney Research Institute and Institute of Translational Health Sciences, University of Washington, Seattle, Washington
- Providence Medical Research Center, Providence Health Care, Spokane, Washington
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Moon SJ, Kim KS, Lee WJ, Lee MY, Vigersky R, Park CY. Efficacy of intermittent short-term use of a real-time continuous glucose monitoring system in non-insulin-treated patients with type 2 diabetes: A randomized controlled trial. Diabetes Obes Metab 2023; 25:110-120. [PMID: 36053813 DOI: 10.1111/dom.14852] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Revised: 08/12/2022] [Accepted: 08/22/2022] [Indexed: 12/14/2022]
Abstract
AIM To evaluate the efficacy of intermittent short-term use of a real-time continuous glucose monitoring (RT-CGM) system in non-insulin-treated patients with type 2 diabetes (T2D) uncontrolled with oral antidiabetic drugs (OADs). MATERIALS AND METHODS In this multicentre, randomized prospective study, 61 participants were randomly assigned to treatment group 1 (one session of RT-CGM), treatment group 2 (two sessions of RT-CGM with a 3-month interval between sessions) and a control group. All participants used blinded continuous glucose monitoring for up to 6 days with education before randomization, and RT-CGM was additionally applied for 1 week in the intervention groups. The primary outcome was change in HbA1c at 6 months. RESULTS Among 61 participants, 48 subjects completed the study (baseline HbA1c 8.2% ± 0.5%). At 3 months, a significant HbA1c reduction was observed in treatment group 1 (adjusted difference = -0.60%, P = .044) and treatment group 2 (adjusted difference = -0.64%, P = .014) compared with the control group. However, at 6 months, only treatment group 2 achieved a significant HbA1c reduction (adjusted difference = -0.68%, P = .018). Especially in the treatment groups, patients performing self-monitoring of blood glucose (SMBG) at least 1.5 times/day showed a significant HbA1c improvement, at both 3 and 6 months, but those performing SMBG less than 1.5 times/day showed no significant improvement. CONCLUSIONS In non-insulin-treated patients with T2D uncontrolled with OADs, intermittent short-term use of RT-CGM was an effective method for glucose control, especially in those performing SMBG frequently.
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Affiliation(s)
- Sun Joon Moon
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Kyung-Soo Kim
- Department of Internal Medicine, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea
| | - Woo Je Lee
- Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
- Asan Diabetes Center, Asan Medical Center, Seoul, Republic of Korea
| | - Mi Yeon Lee
- Division of Biostatistics, Department of R&D Management, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Robert Vigersky
- Global Medical and Clinical Affairs, Medtronic Diabetes, Northridge, California, USA
| | - Cheol-Young Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
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Eeg-Olofsson K, Svensson AM, Franzén S, Ahmed Ismail H, Törnblom M, Levrat-Guillen F. Real-world study of flash glucose monitoring among adults with type 2 diabetes within the Swedish National Diabetes Register. Diab Vasc Dis Res 2023; 20:14791641211067418. [PMID: 36715353 PMCID: PMC9903025 DOI: 10.1177/14791641211067418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND The Swedish National Diabetes Register (NDR) initiated registration of the FreeStyle Libre® system and other continuous glucose monitoring (CGM) systems in June 2016. We investigated change in HbA1c for people with type 2 diabetes (T2DM) using FreeStyle Libre in Sweden. METHODS We included adults with T2DM, registered in the NDR after January 1, 2014, and an index date for first use of FreeStyle Libre of June 2016 or later. Methodology was a before/after comparison of HbA1c within 6 months before the index date versus HbA1c around 6 and 12 months after the index date. RESULTS 711 adults with T2DM using FreeStyle Libre had HbA1c measurements within the study period. Mean HbA1c was significantly reduced at 6 months (-0.50%-unit) and at 12 months (-0.52%-unit) in this group. Degree of change was negatively correlated to baseline HbA1c. Reductions in HbA1c were observed in incident users of FreeStyle Libre with T2DM who were truly naïve to CGM or had unknown prior experience of CGM, and aged 25-74 years. CONCLUSIONS This real-world study on the Swedish NDR shows that people with T2DM using FreeStyle Libre system for 6 and 12 months significantly reduced their HbA1c.
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Affiliation(s)
- Katarina Eeg-Olofsson
- Department of Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
- The Swedish National Diabetes Register, Center of Registries, Region of Västra Götaland, Gothenburg, Sweden
- Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
- Katarina Eeg-Olofsson, The National Diabetes Register and Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.
| | - Ann-Marie Svensson
- The Swedish National Diabetes Register, Center of Registries, Region of Västra Götaland, Gothenburg, Sweden
- Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Stefan Franzén
- Health Metrics, Department of Public Health and Community Medicine, University of Gothenburg, Sahlgrenska Academy, Gothenburg, Sweden
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Reynolds LJ, Williams TM, Harden JE, Twiddy HM, Kearney ML. Short-term removal of exercise impairs glycemic control in older adults: A randomized trial. Physiol Rep 2023; 11:e15591. [PMID: 36695760 PMCID: PMC9875817 DOI: 10.14814/phy2.15591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 12/23/2022] [Accepted: 12/31/2022] [Indexed: 01/26/2023] Open
Abstract
Postprandial glycemia (PPG) predicts cardiovascular disease, and short-term physical inactivity increases PPG in young, active adults. Whether this occurs in older, active adults who may be more prone to bouts of inactivity is unknown. This study determined if postprandial interstitial glucose (PPIG) was impaired in active older adults following the removal of exercise for 3 days (NOEX) compared to active young adults. In this randomized, crossover study, 11 older (69.1 ± 1.9 years) and 9 young (32.8 ± 1.8 years) habitually active (≥90 min/week of exercise) adults completed 3-days of NOEX and 3-days of normal habitual exercise (EX), separated by ≥1 week. Diet was standardized across phases. Glycemic control (3-day average) was assessed via continuous glucose monitoring during both phases. Significant main effects of age and phase were detected (p < 0.05), but no interaction was found for steps/day (p > 0.05) (old EX: 6283 ± 607, old NOEX: 2380 ± 382 and young EX: 8798 ± 623, young NOEX: 4075 ± 516 steps/day). Significant main effects of age (p = 0.002) and time (p < 0.001) existed for 1-h PPIG, but no effect of phase or interactions was found (p > 0.05). Significant main effects (p < 0.05) of age (old: 114 ± 1 mg/dl, young: 106 ± 1 mg/dl), phase (NOEX: 112 ± 1 mg/dl, EX: 108 ± 1 mg/dl), and time (0 min: 100 ± 2, 30 min: 118 ± 2, 60 min: 116 ± 2, 90 min: 111 ± 2, 120 min: 108 ± 2 mg/dl) in 2-h PPIG were detected, but no interaction was found (p > 0.05). However, only significant main effects of phase (NOEX: 14 ± 1 and EX:12 ± 1, p > 0.05) were found for 24-h blood glucose standard deviation. Older adults appear to have impaired glycemic control compared to young adults and exercise removal impairs glycemic control in both populations. Yet, the impairment in glycemic control with exercise removal is not different between old and young adults.
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135
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Battelino T, Alexander CM, Amiel SA, Arreaza-Rubin G, Beck RW, Bergenstal RM, Buckingham BA, Carroll J, Ceriello A, Chow E, Choudhary P, Close K, Danne T, Dutta S, Gabbay R, Garg S, Heverly J, Hirsch IB, Kader T, Kenney J, Kovatchev B, Laffel L, Maahs D, Mathieu C, Mauricio D, Nimri R, Nishimura R, Scharf M, Del Prato S, Renard E, Rosenstock J, Saboo B, Ueki K, Umpierrez GE, Weinzimer SA, Phillip M. Continuous glucose monitoring and metrics for clinical trials: an international consensus statement. Lancet Diabetes Endocrinol 2023; 11:42-57. [PMID: 36493795 DOI: 10.1016/s2213-8587(22)00319-9] [Citation(s) in RCA: 187] [Impact Index Per Article: 187.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 10/27/2022] [Accepted: 10/28/2022] [Indexed: 12/12/2022]
Abstract
Randomised controlled trials and other prospective clinical studies for novel medical interventions in people with diabetes have traditionally reported HbA1c as the measure of average blood glucose levels for the 3 months preceding the HbA1c test date. The use of this measure highlights the long-established correlation between HbA1c and relative risk of diabetes complications; the change in the measure, before and after the therapeutic intervention, is used by regulators for the approval of medications for diabetes. However, with the increasing use of continuous glucose monitoring (CGM) in clinical practice, prospective clinical studies are also increasingly using CGM devices to collect data and evaluate glucose profiles among study participants, complementing HbA1c findings, and further assess the effects of therapeutic interventions on HbA1c. Data is collected by CGM devices at 1-5 min intervals, which obtains data on glycaemic excursions and periods of asymptomatic hypoglycaemia or hyperglycaemia (ie, details of glycaemic control that are not provided by HbA1c concentrations alone that are measured continuously and can be analysed in daily, weekly, or monthly timeframes). These CGM-derived metrics are the subject of standardised, internationally agreed reporting formats and should, therefore, be considered for use in all clinical studies in diabetes. The purpose of this consensus statement is to recommend the ways CGM data might be used in prospective clinical studies, either as a specified study endpoint or as supportive complementary glucose metrics, to provide clinical information that can be considered by investigators, regulators, companies, clinicians, and individuals with diabetes who are stakeholders in trial outcomes. In this consensus statement, we provide recommendations on how to optimise CGM-derived glucose data collection in clinical studies, including the specific glucose metrics and specific glucose metrics that should be evaluated. These recommendations have been endorsed by the American Association of Clinical Endocrinologists, the American Diabetes Association, the Association of Diabetes Care and Education Specialists, DiabetesIndia, the European Association for the Study of Diabetes, the International Society for Pediatric and Adolescent Diabetes, the Japanese Diabetes Society, and the Juvenile Diabetes Research Foundation. A standardised approach to CGM data collection and reporting in clinical trials will encourage the use of these metrics and enhance the interpretability of CGM data, which could provide useful information other than HbA1c for informing therapeutic and treatment decisions, particularly related to hypoglycaemia, postprandial hyperglycaemia, and glucose variability.
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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, Ljubljana, Slovenia.
| | | | | | - Guillermo Arreaza-Rubin
- Division of Diabetes, Endocrinology and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, USA
| | - Roy W Beck
- Jaeb Center for Health Research, Tampa, FL, USA
| | | | - Bruce A Buckingham
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford Medical Center, Stanford, CA, USA
| | | | | | - Elaine Chow
- Phase 1 Clinical Trial Centre, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Pratik Choudhary
- Leicester Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Kelly Close
- diaTribe Foundation, San Francisco, CA, USA; Close Concerns, San Francisco, CA, USA
| | - Thomas Danne
- Diabetes Centre for Children and Adolescents, Auf der Bult, Hanover, Germany
| | | | - Robert Gabbay
- American Diabetes Association, Arlington, VA, USA; Harvard Medical School, Harvard University, Boston, MA, USA
| | - Satish Garg
- Barbara Davis Centre for Diabetes, University of Colorado Denver, Aurora, CO, USA
| | | | - Irl B Hirsch
- Division of Metabolism, Endocrinology and Nutrition, University of Washington School of Medicine, University of Washington, Seattle, WA, USA
| | - Tina Kader
- Jewish General Hospital, Montreal, QC, Canada
| | | | - Boris Kovatchev
- Center for Diabetes Technology, University of Virginia, Charlottesville, VA, USA
| | - Lori Laffel
- Pediatric, Adolescent and Young Adult Section, Joslin Diabetes Center, Harvard Medical School, Harvard University, Boston, MA, USA
| | - David Maahs
- Department of Pediatrics, Stanford Diabetes Research Center, Stanford, CA, USA
| | - Chantal Mathieu
- Clinical and Experimental Endocrinology, KU Leuven, Leuven, Belgium
| | - Dídac Mauricio
- Department of Endocrinology and Nutrition, CIBERDEM (Instituto de Salud Carlos III), Hospital de la Santa Creu i Sant Pau, Autonomous University of Barcelona, Barcelona, Spain
| | - Revital Nimri
- National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
| | - Rimei Nishimura
- The Jikei University School of Medicine, Jikei University, Tokyo, Japan
| | - Mauro Scharf
- Centro de Diabetes Curitiba and Division of Pediatric Endocrinology, Hospital Nossa Senhora das Graças, Curitiba, Brazil
| | - Stefano Del Prato
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Eric Renard
- Department of Endocrinology, Diabetes and Nutrition, Montpellier University Hospital, Montpellier, France; Institute of Functional Genomics, University of Montpellier, Montpellier, France; INSERM Clinical Investigation Centre, Montpellier, France
| | - Julio Rosenstock
- Velocity Clinical Research, Medical City, Dallas, TX; University of Texas Southwestern Medical Center, University of Texas, Dallas, TX, USA
| | - Banshi Saboo
- Dia Care, Diabetes Care and Hormone Clinic, Ahmedabad, India
| | - Kohjiro Ueki
- Diabetes Research Center, National Center for Global Health and Medicine, Tokyo, Japan
| | | | - Stuart A Weinzimer
- Department of Pediatrics, Yale University School of Medicine, Yale University, New Haven, CT, USA
| | - Moshe Phillip
- 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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Schütz-Fuhrmann I, Rami-Merhar B, Fröhlich-Reiterer E, Hofer SE, Tauschmann M, Mader JK, Resl M, Kautzky-Willer A, Winhofer-Stöckl Y, Laimer M, Zlamal-Fortunat S, Weitgasser R. [Insulin pump therapy and continuous glucose monitoring]. Wien Klin Wochenschr 2023; 135:53-61. [PMID: 37101025 PMCID: PMC10132921 DOI: 10.1007/s00508-023-02165-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/16/2023] [Indexed: 04/28/2023]
Abstract
This Guideline represents the recommendations of the Austrian Diabetes Association (ÖDG) on the use of diabetes technology (insulin pump therapy; continuous glucose monitoring, CGM; hybrid closed-loop systems, HCL; diabetes apps) and access to these technological innovations for people with diabetes mellitus based on current scientific evidence.
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Affiliation(s)
- Ingrid Schütz-Fuhrmann
- 3. Medizinische Abteilung mit Stoffwechselerkrankungen und Nephrologie, Karl Landsteiner Institut für Endokrinologie und Stoffwechselerkrankungen, Klinik Hietzing, Wien, Österreich
| | - Birgit Rami-Merhar
- Universitätsklinik für Kinder- und Jugendheilkunde, Medizinische Universität Wien, Wien, Österreich.
| | - Elke Fröhlich-Reiterer
- Universitätsklinik für Kinder- und Jugendheilkunde, Medizinische Universität Graz, Graz, Österreich
| | - Sabine E Hofer
- Department für Pädiatrie 1, Medizinische Universität Innsbruck, Innsbruck, Österreich
| | - Martin Tauschmann
- Universitätsklinik für Kinder- und Jugendheilkunde, Medizinische Universität Wien, Wien, Österreich
| | - Julia K Mader
- Klinische Abteilung für Endokrinologie und Diabetologie, Universitätsklinik für Innere Medizin, Medizinische Universität Graz, Graz, Österreich
| | - Michael Resl
- Abteilung für Innere Medizin I, Konventhospital der Barmherzigen Brüder Linz, Linz, Österreich
| | - Alexandra Kautzky-Willer
- Klinische Abteilung für Endokrinologie und Stoffwechsel, Universitätsklinik für Innere Medizin III, Medizinische Universität Wien, Wien, Österreich
| | - Yvonne Winhofer-Stöckl
- Klinische Abteilung für Endokrinologie und Stoffwechsel, Universitätsklinik für Innere Medizin III, Medizinische Universität Wien, Wien, Österreich
| | - Markus Laimer
- Universitätsklinik für Diabetologie, Endokrinologie, Ernährungsmedizin und Metabolismus (UDEM), Universitätsspital Bern, Inselspital, Bern, Schweiz
| | - Sandra Zlamal-Fortunat
- Abteilung für Innere Medizin und Gastroenterologie, Hepatologie, Endokrinologie, Rheumatologie und Nephrologie, Klinikum Klagenfurt am Wörthersee, Klagenfurt, Österreich
| | - Raimund Weitgasser
- Kompetenzzentrum Diabetes, Privatklinik Wehrle Diakonissen, Salzburg, Österreich
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Muacevic A, Adler JR, Sobki SH, Al-Saeed AH, Al Dawish M. Comparison of Point-of-Care and Laboratory Glycated Hemoglobin A1c and Its Relationship to Time-in-Range and Glucose Variability: A Real-World Study. Cureus 2023; 15:e33416. [PMID: 36643084 PMCID: PMC9833273 DOI: 10.7759/cureus.33416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/05/2023] [Indexed: 01/06/2023] Open
Abstract
Introduction The main objective of the current study was to perform a comparison of point-of-care testing for hemoglobin A1c (POCT-HbA1c) versus the standard laboratory method (Lab HbA1c) and their relationship to time-in-range (TIR) and glucose variability (GV) among patients with diabetes mellitus (DM) presented to the outpatient diabetes clinics. Methods This single-center cross-sectional study was carried out on diabetic patients (aged ≥14 years of both genders) who undergo routine follow-up at our institution and whose physicians ordered HbA1c analysis for routine care. The included patients were those using the intermittently scanned continuous glucose monitoring (isCGM) Abbott's FreeStyle Libre system for at least three months and regular CGM users with at least 70% use. Results We included 97 diabetic patients (41 female and 56 male), with a median age of 25 years (Interquartile range= 18) and a mean DM duration of 10.33±5.48 years. The mean values of Lab-HbA1c and POCT HbA1c were 8.82%±0.85% and 8.53%±0.89%, respectively. The TIR, time below range, and time above range were 33.47±14.38 minutes (47.78%±14.32%), 5.44±2.58 minutes (8.41%±4.42%), and 28.8±8.27 minutes (43.81%±13.22%), respectively. According to the Bland-Altman plot analysis, the POCT-HbA1c values are consistent with the standard Lab-HbA1c values (SD of bias= 0.55, and 95% CI= -0.78 to 1.4). The univariate linear regression analysis showed a statistically significant relationship between laboratory HbA1c and POCT HbA1c (R2= 0.637, p <0.001), TIR (R2= 0.406, p <0.001), and GV (R2= 0.048, p= 0.032). After adjusting for age, gender, disease duration, diabetes type, and percentage of sensor data in a multivariable linear regression model, the linear associations remained significant (all p < 0.05). Conclusion The current findings show that TIR and GV can be used as endpoints and valuable parameters for the therapy of DM.
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Williams ME, Steenkamp D, Wolpert H. Making sense of glucose sensors in end-stage kidney disease: A review. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2022; 3:1025328. [PMID: 36992784 PMCID: PMC10012164 DOI: 10.3389/fcdhc.2022.1025328] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 10/27/2022] [Indexed: 12/23/2022]
Abstract
Diabetes mellitus remains the leading cause of end-stage kidney disease worldwide. Inadequate glucose monitoring has been identified as one of the gaps in care for hemodialysis patients with diabetes, and lack of reliable methods to assess glycemia has contributed to uncertainty regarding the benefit of glycemic control in these individuals. Hemoglobin A1c, the standard metric to evaluate glycemic control, is inaccurate in patients with kidney failure, and does not capture the full range of glucose values for patients with diabetes. Recent advances in continuous glucose monitoring have established this technology as the new gold standard for glucose management in diabetes. Glucose fluctuations are uniquely challenging in patients dependent on intermittent hemodialysis, and lead to clinically significant glycemic variability. This review evaluates continuous glucose monitoring technology, its validity in the setting of kidney failure, and interpretation of glucose monitoring results for the nephrologist. Continuous glucose monitoring targets for patients on dialysis have yet to be established. While continuous glucose monitoring provides a more complete picture of the glycemic profile than hemoglobin A1c and can mitigate high-risk hypoglycemia and hyperglycemia in the context of the hemodialysis procedure itself, whether the technology can improve clinical outcomes merits further investigation.
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Affiliation(s)
| | - Devin Steenkamp
- Section of Endocrinology, Diabetes, and Nutrition, Department of Medicine, Boston Medical Center, Boston, MA, United States
| | - Howard Wolpert
- Boston University School of Medicine, Boston, MA, United States
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139
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Kushniruk A, Katz N, Mirchi T, Green CR. Usability and Teachability of Continuous Glucose Monitoring Devices in Older Adults and Diabetes Educators: Task Analysis and Ease-of-Use Survey. JMIR Hum Factors 2022; 9:e42057. [PMID: 36347498 PMCID: PMC9801269 DOI: 10.2196/42057] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 10/18/2022] [Accepted: 11/08/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Continuous glucose monitoring (CGM) devices continuously sense and relay glucose concentration data from the interstitial fluid to a mobile phone or receiver. Older adults benefit from this continuous monitoring of glucose levels. Proper deployment of the sensing wire is facilitated by a specialized applicator. OBJECTIVE Our aim was to assess a new seventh-generation (G7) CGM device (Dexcom, Inc) for use by adults 65 years of age or older and certified diabetes care and education specialists (CDCESs). Ease of use related to intradermal insertion and mobile app setup will be assessed and compared to the fifth- and sixth-generation systems. METHODS Formal task analysis was conducted to enumerate the number and complexity of tasks associated with CGM deployment. We recruited 10 older adults with no prior CGM experience and 10 CDCESs to assess ease of use through hands-on insertion and initiation of a G7 system followed by a survey and, for older adults, a system usability scale survey. RESULTS About half as many tasks are needed to deploy G7 compared to G6. Older adults and CDCESs reported overall high usability of the G7 CGM device. CDCESs noted G7's easier setup compared to previous generations. The system usability scale score for the CGM system was 92.8, which reflects excellent usability. CONCLUSIONS For CDCESs and for older adults using the G7 CGM system, cognitive burden is relatively low and reduced compared to previous CGM systems. Easing of this burden and simplification of the glucose monitoring aspect of proper diabetes management will likely contribute to improved outcomes in this population.
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Affiliation(s)
| | - Noam Katz
- Dexcom, Inc, San Diego, CA, United States
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140
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Marco A, Pazos-Couselo M, Moreno-Fernandez J, Díez-Fernández A, Alonso-Sampedro M, Fernández-Merino C, Gonzalez-Quintela A, Gude F. Time above range for predicting the development of type 2 diabetes. Front Public Health 2022; 10:1005513. [PMID: 36568777 PMCID: PMC9772988 DOI: 10.3389/fpubh.2022.1005513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 11/23/2022] [Indexed: 12/13/2022] Open
Abstract
Aim To investigate the prognostic value of time range metrics, as measured by continuous glucose monitoring, with respect to the development of type 2 diabetes (T2D). Research design and methods A total of 499 persons without diabetes from the general population were followed-up for 5 years. Time range metrics were measured at the start and medical records were checked over the period study. Results Twenty-two subjects (8.3 per 1,000 person-years) developed T2D. After adjusting for age, gender, family history of diabetes, body mass index and glycated hemoglobin concentration, multivariate analysis revealed 'time above range' (TAR, i.e., with a plasma glucose concentration of >140 mg/dL) to be significantly associated with a greater risk (OR = 1.06, CI 1.01-1.11) of developing diabetes (AUC = 0.94, Brier = 0.035). Conclusions Time above range provides additional information to that offered by glycated hemoglobin to identify patients at a higher risk of developing type 2 diabetes in a population-based study.
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Affiliation(s)
- Alejandra Marco
- Primary Care Center, Santiago de Compostela, Spain,Research Methods (RESMET), Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - Marcos Pazos-Couselo
- Research Methods (RESMET), Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain,Department of Psychiatry, Radiology, Public Health, Nursing and Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain,*Correspondence: Marcos Pazos-Couselo
| | - Jesús Moreno-Fernandez
- Endocrinology and Nutrition Service, Ciudad Real General University Hospital, Ciudad Real, Spain
| | - Ana Díez-Fernández
- Facultad de Enfermería de Cuenca, Universidad de Castilla-La Mancha, Cuenca, Spain
| | - Manuela Alonso-Sampedro
- Research Methods (RESMET), Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain,Department of Clinical Epidemiology, Hospital Clínico Universitario de Santiago de Compostela, Santiago de Compostela, Spain
| | - Carmen Fernández-Merino
- Research Methods (RESMET), Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain,Primary Care Center, A Estrada, Spain
| | - Arturo Gonzalez-Quintela
- Research Methods (RESMET), Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain,Department of Internal Medicine, Hospital Clínico Universitario de Santiago, Santiago de Compostela, Spain
| | - Francisco Gude
- Research Methods (RESMET), Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain,Department of Psychiatry, Radiology, Public Health, Nursing and Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain,Department of Clinical Epidemiology, Hospital Clínico Universitario de Santiago de Compostela, Santiago de Compostela, Spain
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141
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Cooper DJ, Zarabi S, Farrand B, Becker A, Roslin M. Continuous glucose monitoring reveals similar glycemic variability in individuals with obesity despite increased HOMA-IR. Front Nutr 2022; 9:1070187. [PMID: 36570168 PMCID: PMC9769456 DOI: 10.3389/fnut.2022.1070187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 11/15/2022] [Indexed: 12/03/2022] Open
Abstract
Background/aims Continuous glucose monitoring is a well-tolerated and versatile tool for management of diabetes and metabolic disease. While its use appears to be feasible to monitor glycemic profiles in diabetics, there is a paucity of data in individuals with obesity and normal glucose tolerance. The aim of this study is to investigate glucose fluctuations and insulin resistance patterns in normoglycemic participants with obesity vs. without obesity and contextualize these results against leading models for obesity. Materials and methods We designed a prospective, observational pilot study of two cohorts including 14 normoglycemic participants with obesity and 14 normoglycemic participants without obesity. Participants were monitored with continuous glucose monitoring (CGM) for five consecutive days. Insulin resistance levels were measured and glucometric data were extracted from CGM for all participants. Results Fasting serum insulin and homeostasis model assessment of insulin resistance (HOMA-IR) were significantly higher in the group with obesity (P < 0.05). While the group with obesity had a higher mean blood glucose (MBG), mean amplitude of glycemic excursions (MAGE), and continuous overall glycemic action-1 h (CONGA-1), these differences were not significant. On univariate linear regression, insulin resistance (HOMA-IR) was associated with body mass index (BMI), waist circumference (WC), cohort with obesity, cohort consuming a high glycemic diet, hemoglobin A1c (HbA1c), and fasting insulin levels. WC and fasting insulin levels remained predictors of HOMA-IR in our multivariable model. Conclusion While there is much excitement surrounding the use of commercial CGM products in obesity management, our results suggest that fasting insulin and HOMA-IR values may be more clinically useful than CGM data alone.
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Affiliation(s)
- Dylan J. Cooper
- Department of Surgery, Northwell Health-Lenox Hill Hospital, New York, NY, United States,Donald and Barbara Zucker School of Medicine at Hofstra/Northwell Health, Hempstead, NY, United States,*Correspondence: Dylan J. Cooper,
| | - Sharon Zarabi
- Department of Surgery, Northwell Health-Lenox Hill Hospital, New York, NY, United States
| | - Brianna Farrand
- Northern Westchester Hospital, Mount Kisco, NY, United States
| | - Amanda Becker
- Northern Westchester Hospital, Mount Kisco, NY, United States
| | - Mitchell Roslin
- Department of Surgery, Northwell Health-Lenox Hill Hospital, New York, NY, United States,Donald and Barbara Zucker School of Medicine at Hofstra/Northwell Health, Hempstead, NY, United States,Northern Westchester Hospital, Mount Kisco, NY, United States
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142
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Frank S, Hames KC, Jbaily A, Park JH, Stroyeck C, Price D. Feasibility of Using a Factory-Calibrated Continuous Glucose Monitoring System to Diagnose Type 2 Diabetes. Diabetes Technol Ther 2022; 24:907-914. [PMID: 35920831 DOI: 10.1089/dia.2022.0189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Context: Plasma glucose or A1C criteria can be used to establish the diagnosis of type 2 diabetes (T2D). Objective: We examined whether continuous glucose monitoring (CGM) data from a single 10-day wear period could form the basis of an alternative diagnostic test for T2D. Design: We developed a binary classification diagnostic CGM (dCGM) algorithm using a dataset of 716 individual CGM sensor sessions from 563 participants with associated A1C measurements from seven clinical trials. Data from 470 participants were used for training and 93 participants for testing (49 normoglycemic [A1C <5.7%], 27 prediabetes, and 17 T2D [A1C ≥6.5%] not using pharmacotherapy). dCGM performance was evaluated against the accompanying A1C measurement, which was assumed to provide the correct diagnosis. Results: The dCGM algorithm's overall sensitivity, specificity, positive predictive value, and negative predictive value were 71%, 93%, 71%, and 93%, respectively. At other clinically relevant A1C thresholds, dCGM specificity among normoglycemic participants was 98% (48/49 correctly classified), and for participants with suboptimally controlled diabetes (A1C ≥7%, above the American Diabetes Association recommended A1C goal) the sensitivity was 100% (8/8 participants correctly diagnosed with T2D). Conclusions: Classifications based on the dCGM algorithm were in good agreement with traditional methods based on A1C. The dCGM algorithm may provide an alternative method for screening and diagnosing T2D, and warrants further investigation.
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Affiliation(s)
- Spencer Frank
- R&D Department, Dexcom, Inc., San Diego, California, USA
| | | | | | - Jee Hye Park
- R&D Department, Dexcom, Inc., San Diego, California, USA
| | - Chuck Stroyeck
- R&D Department, Dexcom, Inc., San Diego, California, USA
| | - David Price
- R&D Department, Dexcom, Inc., San Diego, California, USA
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143
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Isitt JJ, Roze S, Sharland H, Cogswell G, Alshannaq H, Norman GJ, Lynch PM. Cost-Effectiveness of a Real-Time Continuous Glucose Monitoring System Versus Self-Monitoring of Blood Glucose in People with Type 2 Diabetes on Insulin Therapy in the UK. Diabetes Ther 2022; 13:1875-1890. [PMID: 36258158 PMCID: PMC9663778 DOI: 10.1007/s13300-022-01324-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 10/03/2022] [Indexed: 11/03/2022] Open
Abstract
INTRODUCTION Real-time continuous glucose monitoring (rt-CGM) involves the measurement and display of glucose concentrations, potentially improving glucose control among insulin-treated patients with type 2 diabetes (T2D). The present analysis aimed to conduct a cost-effectiveness analysis of rt-CGM versus self-monitoring of blood glucose (SMBG) based on a USA retrospective cohort study in insulin-treated people with T2D adapted to the UK. METHODS Long-term costs and clinical outcomes were estimated using the CORE Diabetes Model, with clinical input data sourced from a retrospective cohort study. Patients were assumed to have a baseline glycated hemoglobin (HbA1c) of 8.3%. Patients using rt-CGM were assumed to have a 0.56% reduction in HbA1c based on the mean difference between groups after 12 months of follow-up. Reduced fingerstick testing when using rt-CGM was associated with a quality of life (QoL) benefit. The analysis was performed over a lifetime time horizon from a National Health Service (NHS) perspective, including only direct costs from published data. Future costs and clinical outcomes were discounted at 3.5% per annum. Extensive sensitivity analyses were performed. RESULTS Projections showed that rt-CGM was associated with increased quality-adjusted life expectancy of 0.731 quality-adjusted life years (QALYs) and increased mean total lifetime costs of Great British pounds (GBP) 2694, and an incremental cost-effectiveness ratio of GBP 3684 per QALY compared with SMBG. Key drivers of outcomes included HbA1c reduction and reduced fingerstick testing QoL benefit. CONCLUSIONS Over patient lifetimes, rt-CGM was associated with improved clinical outcomes and is highly likely to be cost effective versus SMBG in people with T2D on insulin therapy in the UK.
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Affiliation(s)
| | | | - Helen Sharland
- Ossian Health Economics and Communications, Basel, Switzerland
| | | | - Hamza Alshannaq
- Dexcom, San Diego, CA, USA
- University of Cincinnati College of Medicine, Cincinnati, OH, USA
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144
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Li X, Geng-Ji JJ, Quan YY, Qi LM, Sun Q, Huang Q, Jiang HM, Sun ZJ, Liu HM, Xie X. Role of potential bioactive metabolites from traditional Chinese medicine for type 2 diabetes mellitus: An overview. Front Pharmacol 2022; 13:1023713. [PMID: 36479195 PMCID: PMC9719995 DOI: 10.3389/fphar.2022.1023713] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Accepted: 11/07/2022] [Indexed: 11/14/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM) is a metabolic disease with persistent hyperglycemia primarily caused by insulin resistance (IR). The number of diabetic patients globally has been rising over the past decades. Although significant progress has been made in treating diabetes mellitus (DM), existing clinical drugs for diabetes can no longer fully meet patients when they face complex and huge clinical treatment needs. As a traditional and effective medical system, traditional Chinese medicine (TCM) has a unique understanding of diabetes treatment and has developed many classic and practical prescriptions targeting DM. With modern medicine and pharmacy advancements, researchers have discovered that various bioactive metabolites isolated from TCM show therapeutic on DM. Compared with existing clinical drugs, these bioactive metabolites demonstrate promising prospects for treating DM due to their excellent biocompatibility and fewer adverse reactions. Accordingly, these valuable metabolites have attracted the interest of researchers worldwide. Despite the abundance of research works and specialized-topic reviews published over the past years, there is a lack of updated and systematic reviews concerning this fast-growing field. Therefore, in this review, we summarized the bioactive metabolites derived from TCM with the potential treatment of T2DM by searching several authoritative databases such as PubMed, Web of Science, Wiley Online Library, and Springer Link. For the convenience of readers, the content is divided into four parts according to the structural characteristics of these valuable compounds (flavonoids, terpenoids, alkaloids, and others). Meanwhile, the detailed mechanism and future directions of these promising compounds curing DM are also summarized in the related sections. We hope this review inspires increasingly valuable and significant research focusing on potential bioactive metabolites from TCM to treat DM in the future.
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Affiliation(s)
- Xiang Li
- State Key Laboratory of Southwestern Chinese Medicine Resources, State Administration of Traditional Chinese Medicine Key Laboratory of Traditional Chinese Medicine Regimen and Health, School of Pharmacy and College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Jia-Jia Geng-Ji
- State Key Laboratory of Southwestern Chinese Medicine Resources, State Administration of Traditional Chinese Medicine Key Laboratory of Traditional Chinese Medicine Regimen and Health, School of Pharmacy and College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yun-Yun Quan
- Translational Chinese Medicine Key Laboratory of Sichuan Province, Sichuan Academy of Chinese Medicine Sciences, Sichuan Institute for Translational Chinese Medicine, Chengdu, Sichuan, China
| | - Lu-Ming Qi
- State Key Laboratory of Southwestern Chinese Medicine Resources, State Administration of Traditional Chinese Medicine Key Laboratory of Traditional Chinese Medicine Regimen and Health, School of Pharmacy and College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Qiang Sun
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Qun Huang
- Department of Ophthalmology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Hai-Mei Jiang
- State Key Laboratory of Southwestern Chinese Medicine Resources, State Administration of Traditional Chinese Medicine Key Laboratory of Traditional Chinese Medicine Regimen and Health, School of Pharmacy and College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Zi-Jian Sun
- Sichuan Ant Recommendation Biotechnology Co., Ltd., Chengdu, Sichuan, China
| | - Hong-Mei Liu
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xin Xie
- State Key Laboratory of Southwestern Chinese Medicine Resources, State Administration of Traditional Chinese Medicine Key Laboratory of Traditional Chinese Medicine Regimen and Health, School of Pharmacy and College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, China
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145
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Montaser E, Fabris C, Kovatchev B. Essential Continuous Glucose Monitoring Metrics: The Principal Dimensions of Glycemic Control in Diabetes. Diabetes Technol Ther 2022; 24:797-804. [PMID: 35714355 DOI: 10.1089/dia.2022.0104] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Background: With the proliferation of continuous glucose monitoring (CGM), a number of metrics were developed to assess quality of glycemic control. Many of them are highly correlated. Thus, we aim to identify the principal dimensions of glycemic control-a minimal set of metrics, necessary and sufficient for comprehensive assessment of diabetes management. Methods: Seventy-five thousand five hundred sixty-three 2-week CGM profiles recorded in six studies by 790 individuals with type 1 or type 2 diabetes were used to compute mean glucose (MG), percentage time >180 mg/dL (TAR), >250 mg/dL (TAR2), <70 mg/dL (TBR), <54 mg/dL (TBR2), and coefficient of variation (CV). The true dimensionality of the glycemic-metric space was identified in a training set (53,380 profiles) and validated in an independent test set (22,183 profiles). Results: Correlation analysis identified two blocks of metrics-(MG, TAR, TAR2) and (TBR, TBR2, CV)-each with high internal correlation, but insignificant between-block correlation, suggesting that the true dimensionality of the glycemic-metric space is 2. Principal component analysis confirmed two essential metrics quantifying exposure to hyperglycemia (i.e., treatment efficacy) and risk for hypoglycemia (i.e., treatment safety), and explaining ∼90% of the variance in the training and test data. Conclusion: Two essential metrics, treatment efficacy and treatment safety, are necessary and sufficient to characterize glycemic control in diabetes. Thus, quantitatively, diabetes treatment optimization is reduced to a two-dimensional problem, meaning that minimizing both exposure to hyperglycemia and risk for hypoglycemia will lead to improvement in any other metric of glycemic control.
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Affiliation(s)
- Eslam Montaser
- Center for Diabetes Technology, School of Medicine, University of Virginia, Charlottesville, Virginia, USA
| | - Chiara Fabris
- Center for Diabetes Technology, School of Medicine, University of Virginia, Charlottesville, Virginia, USA
| | - Boris Kovatchev
- Center for Diabetes Technology, School of Medicine, University of Virginia, Charlottesville, Virginia, USA
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146
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Prasad-Reddy L, Godina A, Chetty A, Isaacs D. Use of Continuous Glucose Monitoring in Older Adults: A Review of Benefits, Challenges and Future Directions. TOUCHREVIEWS IN ENDOCRINOLOGY 2022; 18:116-121. [PMID: 36694891 PMCID: PMC9835808 DOI: 10.17925/ee.2022.18.2.116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 10/24/2022] [Indexed: 12/12/2022]
Abstract
Many new technologies have been developed over the past decade, and these have substantially changed the way diabetes is managed. Continuous glucose monitoring is now the standard of care for many people living with diabetes, and among its numerous benefits, it has been shown to improve glycaemic outcomes and enhance quality of life. Older adults carry a high burden of diabetes and have a high risk of hypo-glycaemia and hypo-glycaemic unawareness, and continuous glucose monitoring can help to improve glycaemic management in this vulnerable population. Unfortunately, only a few trials have evaluated the effectiveness of continuous glucose monitoring in older adults. Certainly, the implementation of continuous glucose monitoring in older adults can come with many challenges, including logistical, educational and reimbursement barriers. This article will discuss the benefits of continuous glucose monitoring in older adults with diabetes, the clinical studies that support its use and the barriers to its optimal implementation in this population.
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Affiliation(s)
- Lalita Prasad-Reddy
- Chicago Medical School, Rosalind Franklin University of Medicine and Science, Chicago, IL, USA,Adult Internal Medicine, Rush University Internists, Chicago, IL, USA
| | - Alvin Godina
- Ambulatory Care, Rush University Medical Center, Chicago, IL, USA
| | | | - Diana Isaacs
- Cleveland Clinic Endocrinology & Metabolism Institute, Cleveland, OH, USA
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147
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Barua S, A Wierzchowska-McNew R, Deutz NEP, Sabharwal A. Discordance between postprandial plasma glucose measurement and continuous glucose monitoring. Am J Clin Nutr 2022; 116:1059-1069. [PMID: 35776949 DOI: 10.1093/ajcn/nqac181] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 06/27/2022] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND There has been growing interest in studying postprandial glucose responses using continuous glucose monitoring (CGM) in nondiabetic individuals. Accurate measurement of glucose responses to meals can facilitate applications such as precision nutrition and early detection of diabetes. OBJECTIVES We aimed to quantify the discordance between simultaneous postprandial glucose measurements made using plasma and CGM. METHODS We studied 10 nondiabetic older adults who randomly consumed 9 predefined meals of varying macronutrient compositions. Glucose was measured for 8 h after the meal by the CGM, blood samples for plasma collection were taken regularly, and plasma glucose was quantified using gold-standard laboratory measurement and a fingerstick blood glucose meter. The primary outcome measured was the mean absolute relative difference (MARD) of CGM and fingerstick measurements relative to the gold standard. Secondary outcomes were Bland-Altman statistics, Clarke Error Grid, and time in range metrics. Additional subgroup analyses were performed by stratifying the postprandial glucose measurements based on the macronutrient composition of the meals. RESULTS When compared against the gold-standard postprandial glucose measurements, the fingerstick meter was more accurate (MARD: 8.0%; 95% CI: 7.6%, 8.6%) than the CGM (MARD: 13.7%; 95% CI: 13.1%, 14.3%; P < 0.0001). After the meals, Bland-Altman analysis demonstrated that the CGM underestimated the 8-h gold-standard glucose rise by 12.8 mg/dL on average (P < 0.0001), whereas the fingerstick meter did so by 5.5 mg/dL on average (P < 0.0001). The CGM underestimated the time spent in the 70-180 mg/dL range (P = 0.002) and overestimated the time spent <70 mg/dL (P < 0.0001) compared with the other 2 methods. CONCLUSIONS We discovered discordance between gold standard, fingerstick, and CGM in measuring plasma glucose concentrations after a meal. Consequently, emerging applications of CGM in healthy individuals, such as precision nutrition and diabetes onset prediction, may need to account for these discordances.This trial was registered at clinicaltrials.gov as NCT04928872.
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Affiliation(s)
- Souptik Barua
- Electrical and Computer Engineering, Rice University, Houston, TX, USA
| | - Raven A Wierzchowska-McNew
- Center for Translational Research in Aging and Longevity, Texas A&M University, College Station, TX, USA
| | - Nicolaas E P Deutz
- Center for Translational Research in Aging and Longevity, Texas A&M University, College Station, TX, USA
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Choe HJ, Rhee EJ, Won JC, Park KS, Lee WY, Cho YM. Effects of Patient-Driven Lifestyle Modification Using Intermittently Scanned Continuous Glucose Monitoring in Patients With Type 2 Diabetes: Results From the Randomized Open-label PDF Study. Diabetes Care 2022; 45:2224-2230. [PMID: 35984640 PMCID: PMC9862445 DOI: 10.2337/dc22-0764] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 07/10/2022] [Indexed: 02/05/2023]
Abstract
OBJECTIVE To investigate the effects of patient-driven lifestyle modification using intermittently scanned continuous glucose monitoring (isCGM) in patients with type 2 diabetes (T2D). RESEARCH DESIGN AND METHODS We conducted a 12-week, open-label, randomized controlled trial. A total of 126 participants were 1:1 randomized to either the intervention group (structured education + isCGM) or the control group (standard care with blood glucose monitoring). The Self-Evaluation Of Unhealthy foods by Looking at postprandial glucose (SEOUL) algorithm was developed and applied to aid structured education in guiding patients to follow healthy eating behavior depending on the postprandial glycemic response. The primary end point was the change in HbA1c level from baseline. RESULTS Implementation of the SEOUL algorithm with isCGM was associated with greater improvement in HbA1c than with standard care (risk-adjusted difference -0.50%, 95% CI -0.74 to -0.26, P < 0.001). Participants in the intervention group had a greater reduction in fasting blood glucose and body weight (-16.5 mg/dL, 95% CI -30.0 to -3.0, P = 0.017; -1.5 kg, 95% CI -2.7 to -0.3, P = 0.013, respectively). The score sum for the Korean version of the revised Summary of Diabetes Self-Care Activities Questionnaire increased in both groups but to a greater extent in the intervention group (mean difference 4.8, 95% CI 1.7-8.0, P = 0.003). No severe hyperglycemia or hypoglycemia was reported in either group of patients. CONCLUSIONS Patient-driven lifestyle modification primarily focused on eating behavior using isCGM effectively lowered HbA1c levels in patients with T2D.
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Affiliation(s)
- Hun Jee Choe
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.,Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Eun-Jung Rhee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jong Chul Won
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Sanggye Paik Hospital, Inje University, Seoul, Republic of Korea
| | - Kyong Soo Park
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.,Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Won-Young Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Young Min Cho
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.,Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
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149
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Akturk HK, Herrero P, Oliver N, Wise H, Eikermann E, Snell-Bergeon J, Shah VN. Impact of Different Types of Data Loss on Optimal Continuous Glucose Monitoring Sampling Duration. Diabetes Technol Ther 2022; 24:749-753. [PMID: 35653736 DOI: 10.1089/dia.2022.0093] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Aims: To determine if a longer duration of continuous glucose monitoring (CGM) sampling is needed to correctly assess the quality of glycemic control given different types of data loss. Materials and Methods: Data loss was generated in two different methods until the desired percentage of data loss (10-50%) was achieved with (1) eliminating random individual CGM values and (2) eliminating gaps of a predefined time length (1-5 h). For CGM metrics, days required to cross predetermined targets for median absolute percentage error (MdAPE) for the different data loss strategies were calculated and compared with current international consensus recommendation of >70% of optimal data sampling. Results: Up to 90 days of CGM data from 291 adults with type 1 diabetes were analyzed. MdAPE threshold crossing remained virtually constant for random CGM data loss up to 50% for all CGM metrics. However, the MdAPE crossing threshold increased when losing data with longer gaps. For all CGM metrics assessed in our study (%T70-180, %T < 70, %T < 54, %T > 180, and %T > 250), up to 50% data loss in a random manner did not cause any significant change on optimal sampling duration; however, >30% of data loss in gaps up to 5 h required longer optimal sampling duration. Conclusions: Optimal sampling duration for CGM metrics depends on percentage of data loss as well as duration of data loss. International consensus recommendation for 70% CGM data adequacy is sufficient to report %T70-180 with 2 weeks of data without large data gaps.
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Affiliation(s)
- Halis Kaan Akturk
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Pau Herrero
- Department of Electrical and Electronic Engineering, Imperial College London, London, United Kingdom
| | - Nick Oliver
- Division of Diabetes, Endocrinology and Metabolism, Imperial College London, London, United Kingdom
| | - Haley Wise
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Emma Eikermann
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Janet Snell-Bergeon
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Viral N Shah
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
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150
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Blonde L, Umpierrez GE, Reddy SS, McGill JB, Berga SL, Bush M, Chandrasekaran S, DeFronzo RA, Einhorn D, Galindo RJ, Gardner TW, Garg R, Garvey WT, Hirsch IB, Hurley DL, Izuora K, Kosiborod M, Olson D, Patel SB, Pop-Busui R, Sadhu AR, Samson SL, Stec C, Tamborlane WV, Tuttle KR, Twining C, Vella A, Vellanki P, Weber SL. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update. Endocr Pract 2022; 28:923-1049. [PMID: 35963508 PMCID: PMC10200071 DOI: 10.1016/j.eprac.2022.08.002] [Citation(s) in RCA: 154] [Impact Index Per Article: 77.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 08/01/2022] [Accepted: 08/02/2022] [Indexed: 02/06/2023]
Abstract
OBJECTIVE The objective of this clinical practice guideline is to provide updated and new evidence-based recommendations for the comprehensive care of persons with diabetes mellitus to clinicians, diabetes-care teams, other health care professionals and stakeholders, and individuals with diabetes and their caregivers. METHODS The American Association of Clinical Endocrinology selected a task force of medical experts and staff who updated and assessed clinical questions and recommendations from the prior 2015 version of this guideline and conducted literature searches for relevant scientific papers published from January 1, 2015, through May 15, 2022. Selected studies from results of literature searches composed the evidence base to update 2015 recommendations as well as to develop new recommendations based on review of clinical evidence, current practice, expertise, and consensus, according to established American Association of Clinical Endocrinology protocol for guideline development. RESULTS This guideline includes 170 updated and new evidence-based clinical practice recommendations for the comprehensive care of persons with diabetes. Recommendations are divided into four sections: (1) screening, diagnosis, glycemic targets, and glycemic monitoring; (2) comorbidities and complications, including obesity and management with lifestyle, nutrition, and bariatric surgery, hypertension, dyslipidemia, retinopathy, neuropathy, diabetic kidney disease, and cardiovascular disease; (3) management of prediabetes, type 2 diabetes with antihyperglycemic pharmacotherapy and glycemic targets, type 1 diabetes with insulin therapy, hypoglycemia, hospitalized persons, and women with diabetes in pregnancy; (4) education and new topics regarding diabetes and infertility, nutritional supplements, secondary diabetes, social determinants of health, and virtual care, as well as updated recommendations on cancer risk, nonpharmacologic components of pediatric care plans, depression, education and team approach, occupational risk, role of sleep medicine, and vaccinations in persons with diabetes. CONCLUSIONS This updated clinical practice guideline provides evidence-based recommendations to assist with person-centered, team-based clinical decision-making to improve the care of persons with diabetes mellitus.
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Affiliation(s)
| | | | - S Sethu Reddy
- Central Michigan University, Mount Pleasant, Michigan
| | | | | | | | | | | | - Daniel Einhorn
- Scripps Whittier Diabetes Institute, La Jolla, California
| | | | | | - Rajesh Garg
- Lundquist Institute/Harbor-UCLA Medical Center, Torrance, California
| | | | | | | | | | | | - Darin Olson
- Colorado Mountain Medical, LLC, Avon, Colorado
| | | | | | - Archana R Sadhu
- Houston Methodist; Weill Cornell Medicine; Texas A&M College of Medicine; Houston, Texas
| | | | - Carla Stec
- American Association of Clinical Endocrinology, Jacksonville, Florida
| | | | - Katherine R Tuttle
- University of Washington and Providence Health Care, Seattle and Spokane, Washington
| | | | | | | | - Sandra L Weber
- University of South Carolina School of Medicine-Greenville, Prisma Health System, Greenville, South Carolina
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