51
|
Ferreira ROM, Trevisan T, Pasqualotto E, Chavez MP, Marques BF, Lamounier RN, van de Sande-Lee S. Continuous Glucose Monitoring Systems in Noninsulin-Treated People with Type 2 Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Diabetes Technol Ther 2024; 26:252-262. [PMID: 38090767 DOI: 10.1089/dia.2023.0390] [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: 02/16/2024]
Abstract
Introduction: Continuous glucose monitoring (CGM) has shown favorable outcomes in patients with type 2 diabetes (T2D) who are on insulin therapy. However, the efficacy of CGM in managing glucose levels in noninsulin-treated people with T2D remains controversial. Methods: PubMed, Cochrane, and Embase were searched for randomized controlled trials (RCTs) comparing CGM to self-monitoring of blood glucose (SMBG) in people with T2D not using insulin. We computed weighted mean differences (WMDs) and standard mean differences (SMD) for continuous outcomes, with 95% confidence intervals (CIs). Heterogeneity was assessed using I2 statistics. Statistical analyses were performed using R version 4.2.3. Results: We included six RCTs comprising 407 noninsulin-treated people with T2D of whom 228 were randomized to CGM. Diabetes duration ranged from 5.4 to 13.9 years. The mean age was 57.9 years and the mean body mass index was 30.8 kg/m2. Four trials used real-time CGM (rt-CGM) and two intermittent scanning CGM (is-CGM). Compared with SMBG, CGM significantly reduced the glycated hemoglobin level (WMD -0.31%; 95% CI -0.42 to -0.21; I2 = 0%), glucose level (WMD -11.16 mg/dL; 95% CI -19.94 to -2.39; I2 = 0%), time in hypoglycemia level 2 (WMD -0.28%; 95% CI -0.52 to -0.03; I2 = 91%), glucose time >180 mg/dL (WMD -7.75%; 95% CI -12.04 to -3.45; I2 = 0%), and the standard deviation of glucose variation (WMD -4.00 mg/dL; 95% CI -6.86 to -1.14; I2 = 0%). CGM also increased time in range (WMD 8.63%; 95% CI 4.54-12.71; I2 = 0%) and treatment satisfaction (SMD 0.79; 95% CI 0.54-1.05; I2 = 0%). Conclusion: In this meta-analysis, rt-CGM and is-CGM were associated with improvement in glycemic control in people with T2D not using insulin when compared to SMBG.
Collapse
Affiliation(s)
| | - Talita Trevisan
- Private Practice, Talita Trevisan Endocrinologia, Itajaí, Brazil
| | - Eric Pasqualotto
- Federal University of Santa Catarina, Department of Internal Medicine, Florianopolis, Brazil
| | - Matheus Pedrotti Chavez
- Federal University of Santa Catarina, Department of Internal Medicine, Florianopolis, Brazil
| | | | | | - Simone van de Sande-Lee
- Federal University of Santa Catarina, Department of Internal Medicine, Florianopolis, Brazil
| |
Collapse
|
52
|
Rohner DG, Burget L, Henzen C, Fischli S. Impact on diabetes control and patient-reported outcomes of a newer implantable continuous glucose monitoring system (Eversense® CGM System): a single-centre retro- and prospective observational study. Swiss Med Wkly 2024; 154:3366. [PMID: 38579290 DOI: 10.57187/s.3366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2024] Open
Abstract
AIMS OF THE STUDY The Eversense® CGM System is the first and only continuous glucose monitoring system (CGMS) that uses a fully subcutaneous implanted sensor. This study aimed to evaluate effectiveness, safety and patient-reported outcomes in patients using the Eversense® CGM System in a realistic clinical setting, assessed at a single Swiss diabetes centre (Luzerner Kantonsspital) with prolonged follow-up. METHODS This was a prospective and retrospective observational study that included patients with type 1 diabetes mellitus in whom at least one Eversense® glucose sensor was implanted between 2017 and 2022. The primary endpoint was the change in HbA1c levels from the baseline (before implantation of the sensor) to 6 ± 2 and 12 ± 2 months and the last follow-up (newest available value) after implantation. The secondary outcome measures were the number of premature sensor breakdowns, adverse events related to the implantation procedure (infection, bleeding, difficulties with implantation or explantation) and patient-related outcomes (assessed with a questionnaire). RESULTS A total of 33 patients participated in this study. The median follow-up time was 50 (IQR 22.3-58.5) months. In total, 178 sensor implantations were performed. Valid HbA1c results were available for 26 participants. Compared to the baseline values, HbA1c levels at 6 and 12 months and the last follow-up changed by -0.25%, -0.45 and -0.2 (p = 0.278, 0.308 and 0.296, respectively). We recorded 16 (9%) premature sensor breakdowns, all occurring between 2019 and 2020. Apart from one late-onset infection and four complicated sensor removals, no major complications were assessed. The results of the questionnaire showed a subjective improvement in hypoglycaemia rates, a better perception of hypoglycaemia and the impression of better diabetes management. Common issues with the device reported by the patients were technical errors (connection problems) and problems with the removal procedure. CONCLUSIONS The use of the Eversense® CGM System resulted in changes in HbA1c of between -0.2% and -0.45%. The rate of premature sensor breakdown was low. Major complications following sensor implantation or removal were absent, apart from one case of infection and four cases of complicated removal. Patient-reported outcomes with the Eversense® CGM System showed a subjective positive impact on hypoglycaemia rates, greater confidence in managing hypoglycaemia and diabetes in general, and easy handling of the transmitter and mobile app. Technical issues must be considered but are nowadays, with the use of the newest sensor generation, very rare.
Collapse
Affiliation(s)
- Dimitri Guy Rohner
- Division of Endocrinology, Diabetes and Clinical Nutrition, Department of Internal Medicine, Luzerner Kantonsspital, Luzern, Switzerland
| | - Lukas Burget
- Division of Endocrinology, Diabetes and Clinical Nutrition, Department of Internal Medicine, Luzerner Kantonsspital, Luzern, Switzerland
| | - Christoph Henzen
- Division of Endocrinology, Diabetes and Clinical Nutrition, Department of Internal Medicine, Luzerner Kantonsspital, Luzern, Switzerland
| | - Stefan Fischli
- Division of Endocrinology, Diabetes and Clinical Nutrition, Department of Internal Medicine, Luzerner Kantonsspital, Luzern, Switzerland
| |
Collapse
|
53
|
Gómez Medina AM, Parra Prieto DA, Henao Carrillo DC, Gómez CM, Muñoz Velandia OM, Caicedo S, Kerguelen Villadiego AL, Rodríguez Hortúa LM, Lucero Pantoja OD, Uribe Valencia M, García Guete MM, Robledo Gómez S, Rondón Sepúlveda M. Characteristics Associated With Elevated Time Below Range in Elderly Patients With Type 1 Diabetes Using an Automated Insulin Delivery System. J Diabetes Sci Technol 2024:19322968241232659. [PMID: 38506435 DOI: 10.1177/19322968241232659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/21/2024]
Abstract
BACKGROUND This study investigated the characteristics associated with an increased risk of hypoglycemia, in elderly patients with type 1 diabetes mellitus (T1D) using automated insulin delivery (AID) systems. METHODS Cross-sectional observational study including patients >60 years, using sensor-augmented insulin pump therapy with predictive low-glucose management (SAPT-PLGM), hybrid closed-loop (HCL), and advanced hybrid closed-loop (AHCL), for more than three months. A geriatric assessment was performed, and body composition was determined to investigate its association with achieving time below range (TBR) <70 mg/dL goals. RESULTS The study included 59 patients (47.5% of men, mean age of 67.6 years, glycated hemoglobin [HbA1c] of 7.5 ± 0.6%, time in range (TIR) 77.8 ± 9.9%). Time below range <70 and <54 mg/dL were 2.2 ± 2.3% and 0.4 ± 0.81%, respectively. Patients with elevated TBR <70 mg/dL (>1%) had higher HbA1c levels, lower TIR, elevated time above range (TAR), and high glycemic variability. Regarding body composition, greater muscle mass, grip strength, and visceral fat were associated with a lower TBR <70 mg/dL. These factors were independent of the type of technology used, but TIR was higher when using AHCL systems compared with SAPT-PLGM and HCL systems. CONCLUSIONS In elderly patients treated with AID systems with good functional status, lower lean mass, lower grip strength, and lower visceral fat percentage were associated with TBR greater than 1%, regardless of the device used. A similar finding along was found with CGM indicators such as higher HbA1c levels, lower TIR, higher TAR, and higher CV. Geriatric assessment is crucial for personalizing patient management.
Collapse
Affiliation(s)
- Ana María Gómez Medina
- Hospital Universitario San Ignacio and Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Darío A Parra Prieto
- Hospital Universitario San Ignacio and Pontificia Universidad Javeriana, Bogotá, Colombia
| | | | | | | | - Sandra Caicedo
- Hospital Universitario San Ignacio and Pontificia Universidad Javeriana, Bogotá, Colombia
| | | | | | | | | | | | | | | |
Collapse
|
54
|
Miller E, Miller K. Detection and Intervention: Use of Continuous Glucose Monitoring in the Early Stages of Type 2 Diabetes. Clin Diabetes 2024; 42:398-407. [PMID: 39015167 PMCID: PMC11247044 DOI: 10.2337/cd23-0077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/18/2024]
Abstract
The term "prediabetes" has been used to identify the state of abnormal glucose homeostasis (dysglycemia) that often leads to the development of clinical type 2 diabetes. However, this term does not describe the cellular changes that are already taking place in individuals with elevated glucose levels. This article describes our approach to detecting early dysglycemia using continuous glucose monitoring and explains how this approach can be integrated into clinical practice settings.
Collapse
|
55
|
Uhl S, Choure A, Rouse B, Loblack A, Reaven P. Effectiveness of Continuous Glucose Monitoring on Metrics of Glycemic Control in Type 2 Diabetes Mellitus: A Systematic Review and Meta-analysis of Randomized Controlled Trials. J Clin Endocrinol Metab 2024; 109:1119-1131. [PMID: 37987208 DOI: 10.1210/clinem/dgad652] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Indexed: 11/22/2023]
Abstract
PURPOSE To provide a systematic review and meta-analysis synthesizing the findings of randomized controlled trials (RCTs) of continuous glucose monitors (CGMs) in the management of adults with type 2 diabetes mellitus (T2DM) on glucose control and clinical outcomes. METHODS MEDLINE, Embase, and Cochrane were searched for RCTs that assessed the effectiveness of real-time CGM (rt-CGM) or flash CGM (FGM) in adults (≥18 years) with T2DM that reported on at least 1 of the following outcomes: hemoglobin A1c (HbA1c), time in range, time in hyperglycemia, or time in hypoglycemia. The GRADE approach was used to assess certainty of evidence for primary outcomes. RESULTS Fourteen RCTs assessing CGM were included, with 825 patients in 9 RCTs using rt-CGM and 822 in 5 RCTs using FGM. Moderate certainty of evidence indicated that use of CGM had a modest but statistically significant reduction in HbA1c levels of about 0.32%. Our analyses of each device type separately showed similar reductions in HbA1c (0.34% and 0.33%, respectively, for rt-CGM and FGM), with trends for improvement in other glucose metrics favoring rt-CGM over self-monitored blood glucose. CONCLUSION Both rt-CGM and flash CGM led to modest but statistically significant declines in HbA1c among individuals with T2DM, with little heterogeneity in the results. However, the duration of the included RCTs was relatively short and few studies reported on important clinical outcomes, such as adverse events, emergency department use, or hospitalization. Longer term studies are needed to determine if the short-term improvements in glucose control leads to improvements in clinically important outcomes.
Collapse
Affiliation(s)
| | - Anuja Choure
- University of Arizona College of Medicine, Tucson, AZ 85724, USA
- Phoenix VA Healthcare System, Phoenix, AZ 85012, USA
| | | | | | - Peter Reaven
- Phoenix VA Healthcare System, Phoenix, AZ 85012, USA
| |
Collapse
|
56
|
Hofner M, Hurnaus P, DiStefano D, Philip S, Kim S, Shaw J, Waring AC. Outcomes of an Asynchronous Care Model for Chronic Conditions in a Diverse Population: 12-Month Retrospective Chart Review Study. JMIR Diabetes 2024; 9:e53835. [PMID: 38363585 DOI: 10.2196/53835] [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: 10/20/2023] [Revised: 12/06/2023] [Accepted: 02/16/2024] [Indexed: 02/17/2024] Open
Abstract
BACKGROUND Diabetes and hypertension are some of the most prevalent and costly chronic conditions in the United States. However, outcomes continue to lag behind targets, creating further risk of long-term complications, morbidity, and mortality for people living with these conditions. Furthermore, racial and ethnic disparities in glycemic and hypertension control persist. Flexible telehealth programs leveraging asynchronous care allow for increased provider access and more convenient follow-up, ultimately improving critical health outcomes across demographic groups. OBJECTIVE We aim to evaluate the 12-month clinical outcomes of participants in the 9amHealth web-based clinic for diabetes and hypertension. We hypothesized that participation in the 9amHealth program would be associated with significant improvements in glycemic and blood pressure (BP) control across a diverse group of individuals. METHODS We enrolled 95 patients in a completely web-based care clinic for diabetes and hypertension who received nutrition counseling, health coaching, and asynchronous physician consultations for medication prescribing. Patients received standard or cellular-connected glucose meters and BP cuffs in order to share data. Laboratory tests were completed either with at-home phlebotomy draws or a self-administered test kit. Patients' first and last hemoglobin A1c (HbA1c) and BP results over the 12-month period were compared, and analyses were repeated across race and ethnicity groups. RESULTS Among all 95 patients, the average HbA1c decreased by -1.0 (from 8.2% to 7.2%; P<.001) over 12 months of program participation. In those with a baseline HbA1c >8%, the average HbA1c decreased by -2.1 (from 10.2% to 8.1%; P<.001), and in those with a baseline HbA1c >9%, the average HbA1c decreased by -2.8 (from 11% to 8.2%; P<.001). Among participants who identified as a race or ethnicity other than White, the HbA1c decreased by -1.2 (from 8.6% to 7.4%, P=.001). Further examination of subgroups confirmed HbA1c lowering within each race or ethnicity group. In the overall population, the average systolic BP decreased by 17.7 mm Hg (P=.006) and the average diastolic BP decreased by 14.3 mm Hg (P=.002). Among participants self-identifying as a race or ethnicity other than White, the results similarly showed a decrease in BP (average reduction in systolic BP of 10 mm Hg and in diastolic BP of 9 mm Hg). CONCLUSIONS A fully web-based model leveraging all-asynchronous physician review and prescribing, combined with synchronous and asynchronous coaching and nutrition support, was associated with clinically meaningful improvement in HbA1c and BP control over a 12-month period among a diverse group of individuals. Further studies should prospectively evaluate the effectiveness of such models among larger populations, assess the longer-term sustainability of these outcomes, and explore financial models to make these types of programs broadly accessible.
Collapse
Affiliation(s)
| | | | | | - Shaji Philip
- Washington Permanente Medical Group, Seattle, WA, United States
| | - Sarah Kim
- Zuckerberg San Francisco General Hospital, Division of Endocrinology, Diabetes and Metabolism, University of California, San Francisco, San Francisco, CA, United States
| | - Julie Shaw
- The Ottawa Hospital and EORLA, University of Ottawa, Ottowa, ON, Canada
| | | |
Collapse
|
57
|
Beltzer A, Kölle J, Gil Miró M, Pleus S, Krauss C, Haug C, Safary E, Vetter B, Freckmann G. Benefits of Usability Evaluation in the Development Process of Diabetes Technologies Using the Example of a Continuous Glucose Monitoring System Prototype. J Diabetes Sci Technol 2024:19322968241238146. [PMID: 38477255 DOI: 10.1177/19322968241238146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/14/2024]
Abstract
BACKGROUND Usability engineering analyzes the interaction between the intended users and a device. Its implementation is mandatory for manufacturers to obtain regulatory approval for the European market. The aim of this evaluation was assessing the role of usability testing in the development process. For this purpose, a continuous glucose monitoring (CGM) device under development was investigated to determine whether it could be used safely and effectively by the intended users. METHODS Conduct of the usability testing was based on the international standard IEC 62366-1. Medical device use of CGM-experienced and non-experienced users (n = 15 each) was observed without initial training in use scenarios containing 18 tasks. The success rate of task completion was determined and the System Usability Scale (SUS) score was calculated from a questionnaire. A prototype of the FiberSense CGM System (EyeSense GmbH, Großostheim, Germany), comprising of a single-use sensor and a reusable detector, was investigated. RESULTS Most use errors made by both user groups were related to ease of handling of the reusable detectors. The SUS scores achieved in this study were below the pre-defined SUS score acceptance criterion of ≥68. The most frequently mentioned reason for use errors was an incomprehensible and non-chronological instructions for use (IFU). CONCLUSIONS The evaluation provides valuable insights on how to improve usability of the prototype device and demonstrates the value of conducting structured usability testing prior to product finalization. The results reflected areas for improvement of the user interface, mainly by restructuring the IFU, provision of an additional leaflet, and device training prior to use.
Collapse
Affiliation(s)
- Anne Beltzer
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | - Julia Kölle
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | - Marta Gil Miró
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | - Stefan Pleus
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | - Collin Krauss
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | - Cornelia Haug
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | | | | | - Guido Freckmann
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| |
Collapse
|
58
|
Nemlekar PM, Hannah KL, Green CR, Norman GJ. Association Between Adherence, A1C Improvement, and Type of Continuous Glucose Monitoring System in People with Type 1 Diabetes or Type 2 Diabetes Treated with Intensive Insulin Therapy. Diabetes Ther 2024; 15:639-648. [PMID: 38289464 PMCID: PMC10942933 DOI: 10.1007/s13300-023-01529-8] [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: 11/03/2023] [Accepted: 12/22/2023] [Indexed: 03/16/2024] Open
Abstract
INTRODUCTION Use of continuous glucose monitoring (CGM) systems by people with diabetes is associated with improved glycemic outcomes, including lower glycated hemoglobin (A1C). Less is known about adherence to CGM systems, whether glycemic outcomes are impacted by levels of adherence, or whether adherence rates differ between types of CGM systems-intermittently scanned CGM (isCGM) or real-time CGM (rtCGM). METHODS A retrospective analysis of de-identified US administrative health claims and linked laboratory data was conducted using the Merative™ MarketScan® Research Database. The cohort included CGM-naïve people with type 1 diabetes (T1D) or type 2 diabetes treated with intensive insulin therapy (T2D-IIT) who initiated rtCGM or isCGM between August 1, 2019 and March 31, 2021 (defined as the index date). Adherence was calculated over a 12-month period using the proportion of days covered (PDC) with PDC ≥ 0.8 defined as adherent. A1C values were obtained within 6 months of the index date. RESULTS A total of 7669 individuals were identified. Subgroups included T1D using isCGM (n = 1578), T1D using rtCGM (n = 1244), T2D-IIT using isCGM (n = 3567), and T2D-IIT using rtCGM (n = 1280). After 12 months, PDC was 0.71 (0.30)-0.72 (0.31) (mean(SD)) for T1D and T2D-IIT rtCGM users and 0.55 (0.34)-0.56 (0.34) for T1D and T2D-IIT isCGM users. The proportion of adherent users (PDC ≥ 0.8) was 56.8-59.7% for rtCGM users and 36.3-37.6% for isCGM users. Overall, regardless of diabetes type, the odds of adherence were over two times higher for rtCGM users compared to isCGM users. For those with available A1C information (T1D n = 213; T2D-IIT n = 346), independent of CGM type, adherence to CGM was associated with a greater reduction in A1C and more people reaching A1C targets of < 7.0% or < 8.0%. CONCLUSION For people with T1D or T2D-IIT, higher adherence to CGM is associated with greater reductions in A1C, and higher adherence rates were observed with rtCGM systems than with isCGM systems.
Collapse
Affiliation(s)
| | - Katia L Hannah
- Dexcom, Inc., 6340 Sequence Dr., San Diego, CA, 92121, USA
| | | | | |
Collapse
|
59
|
Alshannaq H, Pollock RF, Joubert M, Ahmed W, Norman GJ, Lynch PM, Roze S. Cost-utility of real-time continuous glucose monitoring versus self-monitoring of blood glucose in people with insulin-treated Type II diabetes in France. J Comp Eff Res 2024; 13:e230174. [PMID: 38294332 PMCID: PMC10945438 DOI: 10.57264/cer-2023-0174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 01/09/2024] [Indexed: 02/01/2024] Open
Abstract
Aim: Clinical trials and real-world data for Type II diabetes both show that glycated hemoglobin (HbA1c) levels and hypoglycemia occurrence can be reduced by real-time continuous glucose monitoring (rt-CGM) versus self-monitoring of blood glucose (SMBG). The present cost-utility study investigated the long-term health economic outcomes associated with using rt-CGM versus SMBG in people with insulin-treated Type II diabetes in France. Materials & methods: Effectiveness data were obtained from a real-world study, which showed rt-CGM reduced HbA1c by 0.56% (6.1 mmol/mol) versus sustained SMBG. Analyses were conducted using the IQVIA Core Diabetes Model. A French payer perspective was adopted over a lifetime horizon for a cohort aged 64.5 years with baseline HbA1c of 8.3% (67 mmol/mol). A willingness-to-pay threshold of €147,093 was used, and future costs and outcomes were discounted at 4% annually. Results: The analysis projected quality-adjusted life expectancy was 8.50 quality-adjusted life years (QALYs) for rt-CGM versus 8.03 QALYs for SMBG (difference: 0.47 QALYs), while total mean lifetime costs were €93,978 for rt-CGM versus €82,834 for SMBG (difference: €11,144). This yielded an incremental cost-utility ratio (ICUR) of €23,772 per QALY gained for rt-CGM versus SMBG. Results were particularly sensitive to changes in the treatment effect (i.e., change in HbA1c), annual price and quality of life benefit associated with rt-CGM, SMBG frequency, baseline patient age and complication costs. Conclusion: The use of rt-CGM is likely to be cost-effective versus SMBG for people with insulin-treated Type II diabetes in France.
Collapse
Affiliation(s)
- Hamza Alshannaq
- Dexcom, San Diego, CA, USA
- University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | | | - Michael Joubert
- Diabetes Care Unit, Caen University Hospital, UNICAEN, Caen, France
| | | | | | | | | |
Collapse
|
60
|
Kong SY, Cho MK. Effects of Continuous Glucose Monitoring on Glycemic Control in Type 2 Diabetes: A Systematic Review and Meta-Analysis. Healthcare (Basel) 2024; 12:571. [PMID: 38470682 PMCID: PMC10931178 DOI: 10.3390/healthcare12050571] [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: 01/18/2024] [Revised: 02/26/2024] [Accepted: 02/26/2024] [Indexed: 03/14/2024] Open
Abstract
As the prevalence of diabetes is rapidly increasing, the use of continuous glucose monitoring, which is effective in improving glycemic control in type 2 diabetes, is increasing. METHODS Systematic review was performed according to PRISMA criteria. The search was conducted for articles published until 31 May 2023 in PubMed, CINAHL, Cochrane Library, EMBASE, ClinicalKey, etc. The meta-analysis involved the synthesis of effect size; tests of homogeneity and heterogeneity; trim and fill plot; Egger's regression test; and Begg's test for assessing publication bias. RESULTS 491 studies were searched, of which 17 studies that met the selection criteria were analyzed. The overall effect on HbA1c was -0.37 (95% CI, -0.63~-0.11, p < 0.001), with HbA1c decreasing significantly after CGM interventions. Sub-analyses showed that the study was statistically significant in those aged 60 years or older, when rt-CGM was used and when the study was performed in multiple centers. CONCLUSION The results of this study showed that intervention using CGM was effective in reducing HbA1c in type 2 diabetes. The factors identified in this study can be used as guidelines for developing future CGM intervention programs.
Collapse
Affiliation(s)
- Seung-Yeon Kong
- Referral Center, Chungbuk National University Hospital, Cheongju 28644, Republic of Korea;
| | - Mi-Kyoung Cho
- Department of Nursing Science, Chungbuk National University, Cheongju 28644, Republic of Korea
| |
Collapse
|
61
|
Horgan R, Hage Diab Y, Fishel Bartal M, Sibai BM, Saade G. Continuous Glucose Monitoring in Pregnancy. Obstet Gynecol 2024; 143:195-203. [PMID: 37769316 DOI: 10.1097/aog.0000000000005374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 07/06/2023] [Indexed: 09/30/2023]
Abstract
Diabetes mellitus in pregnancy is associated with adverse maternal and neonatal outcomes. Optimal glycemic control is associated with improved outcomes. Continuous glucose monitoring is a less invasive alternative to blood glucose measurements. Two types of continuous glucose monitoring are available in the market: real time and intermittently scanned. Continuous glucose monitoring is gaining popularity and is now recommended by some societies for glucose monitoring in pregnant women. In this review, we discuss the differences between the two types of continuous glucose monitoring, optimal treatment goals, and whether there is an improvement in maternal or neonatal outcomes.
Collapse
Affiliation(s)
- Rebecca Horgan
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, Virginia; and the Department of Obstetrics, Gynecology and Reproductive Sciences, UTHealth Houston, Houston, Texas
| | | | | | | | | |
Collapse
|
62
|
Lacy ME, Lee KE, Atac O, Heier K, Fowlkes J, Kucharska-Newton A, Moga DC. Patterns and Trends in Continuous Glucose Monitoring Utilization Among Commercially Insured Individuals With Type 1 Diabetes: 2010-2013 to 2016-2019. Clin Diabetes 2024; 42:388-397. [PMID: 39015169 PMCID: PMC11247039 DOI: 10.2337/cd23-0051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/18/2024]
Abstract
Prior studies suggest that only ∼30% of patients with type 1 diabetes use continuous glucose monitoring (CGM), but most studies to date focused on children and young adults seen by endocrinologists or in academic centers. This study examined national trends in CGM utilization among commercially insured children and adults with type 1 diabetes. Overall, CGM utilization was 20.12% in 2010-2013 and 49.78% in 2016-2019, reflecting a 2.5-fold increase in utilization within a period of <10 years. Identifying populations with low CGM use is a necessary first step in developing targeted interventions to increase CGM uptake.
Collapse
Affiliation(s)
- Mary E. Lacy
- College of Public Health, University of Kentucky, Lexington, KY
| | | | - Omer Atac
- College of Public Health, University of Kentucky, Lexington, KY
- Department of Public Health, International School of Medicine, Istanbul Medipol University, Istanbul, Turkey
| | - Kory Heier
- College of Public Health, University of Kentucky, Lexington, KY
| | - John Fowlkes
- College of Medicine, University of Kentucky, Lexington, KY
| | | | | |
Collapse
|
63
|
Welsh JB, Psavko S, Zhang X, Gao P, Balo AK. Comparisons of Fifth-, Sixth-, and Seventh-Generation Continuous Glucose Monitoring Systems. J Diabetes Sci Technol 2024; 18:143-147. [PMID: 35695305 PMCID: PMC10899839 DOI: 10.1177/19322968221099879] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Between-system differences for continuous glucose monitoring (CGM) devices have important clinical consequences. PURPOSE Here we review attributes of Dexcom's fifth-, sixth-, and seventh-generation (G5, G6, and G7) CGM systems. METHODS Accuracy metrics were derived from preapproval trials of the three systems and compared after propensity score adjustments were used to balance baseline demographic characteristics. Metrics included mean absolute relative differences (MARD) between CGM and YSI values and the proportion of CGM values within 20% or 20 mg/dL of the YSI values ("%20/20"). Ease-of-use was evaluated by formal task analysis. CONCLUSIONS Adjusted MARD and %20/20 agreement rates were 9.0%/93.1% (abdomen-placed G5), 9.9%/92.3% (abdomen-placed G6), 9.1%/93.2% (abdomen-placed G7), and 8.2%/95.3% (arm-placed G7). Task analysis favored G7 over earlier systems. Favorable clinical outcomes such as hemoglobin A1c reduction and hypoglycemia avoidance seen with G5 and G6 are anticipated with G7 use.
Collapse
|
64
|
Lu J, Ying Z, Wang P, Fu M, Han C, Zhang M. Effects of continuous glucose monitoring on glycaemic control in type 2 diabetes: A systematic review and network meta-analysis of randomized controlled trials. Diabetes Obes Metab 2024; 26:362-372. [PMID: 37828805 DOI: 10.1111/dom.15328] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 09/05/2023] [Accepted: 09/26/2023] [Indexed: 10/14/2023]
Abstract
AIMS The aim of this study was to assess the efficacy of continuous glucose monitoring (CGM) versus self-monitoring of blood glucose (SMBG) in maintaining glycaemic control among people with type 2 diabetes mellitus (T2DM). MATERIALS AND METHODS The protocol was registered in PROSPERO (CRD42023387583). PubMed, Web of Science, EMBASE and OVID databases were searched from 1 January 2000 until 31 December 2022 for randomized controlled trials comparing CGM with SMBG in glycaemic control among the outpatients with T2DM. The primary endpoint was glycated haemoglobin, while the secondary endpoints included time in range, time below range and time above range. Both traditional and network meta-analyses were conducted to explore the efficacy of CGM on glycaemic control in T2DM. RESULTS Eleven high-quality studies, involving 1425 individuals with T2DM, were identified. Traditional meta-analysis revealed that CGM exhibited a significantly decreased [mean difference (MD): -0.31, 95% confidence interval (CI) (-0.45, -0.18)], time above range [MD: -9.06%, 95% CI (-16.00, -2.11)], time below range [MD: -0.30%, 95% CI (-0.49, -0.12)] and a significantly increased time in range [MD: 8.49%, 95% CI (3.96, 13.02)] compared with SMBG. The network meta-analysis showed that real-time CGM can improve the glycaemic control of patients with T2DM to the most extent. CONCLUSIONS CGM could provide T2DM with greater benefits in glycaemic management compared with SMBG, particularly in patients using real-time CGM. These findings provide an updated perspective on previous research and offer guidance for CGM use in T2DM.
Collapse
Affiliation(s)
- Jiaping Lu
- Department of Endocrinology, Qingpu Branch of Zhongshan Hospital Affiliated to Fudan University, Shanghai, China
| | - Zhen Ying
- Ministry of Education Key Laboratory of Metabolism and Molecular Medicine, Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ping Wang
- Department of Endocrinology, Qingpu Branch of Zhongshan Hospital Affiliated to Fudan University, Shanghai, China
| | - Minjie Fu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Chenyu Han
- Department of Endocrinology, Qingpu Branch of Zhongshan Hospital Affiliated to Fudan University, Shanghai, China
| | - Min Zhang
- Department of Endocrinology, Qingpu Branch of Zhongshan Hospital Affiliated to Fudan University, Shanghai, China
| |
Collapse
|
65
|
ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Stanton RC, Gabbay RA. 7. Diabetes Technology: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S126-S144. [PMID: 38078575 PMCID: PMC10725813 DOI: 10.2337/dc24-s007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
Collapse
|
66
|
Kim JY, Ilham S, Alshannaq H, Pollock RF, Ahmed W, Norman GJ, Jin SM, Kim JH. Real-time continuous glucose monitoring vs. self-monitoring of blood glucose: cost-utility in South Korean type 2 diabetes patients on intensive insulin. J Med Econ 2024; 27:1245-1252. [PMID: 39275990 DOI: 10.1080/13696998.2024.2405293] [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: 07/25/2024] [Revised: 09/03/2024] [Accepted: 09/13/2024] [Indexed: 09/16/2024]
Abstract
AIMS This study investigated the cost-utility of real-time continuous glucose monitoring (rt-CGM) versus self-monitoring of blood glucose (SMBG) in people with type 2 diabetes (T2D) receiving intensive insulin therapy in South Korea. METHODS The IQVIA Core Diabetes Model (CDM v9.5) was used, with clinical effectiveness data obtained from a large-scale real world study. Costs were obtained from South Korean sources and inflated to 2022 South Korean Won (KRW). A South Korean payer perspective was adopted over a lifetime horizon, with future costs and effects discounted at 4.5% per annum. Baseline characteristics included a mean baseline HbA1c level of 8.6% (71 mmol/mol), and a mean age of 64.4 years. A willingness-to-pay (WTP) threshold of KRW 46.0 million was used. RESULTS Rt-CGM led to an increase of 0.683 quality-adjusted life years (QALYs) versus SMBG (7.526 QALYs for rt-CGM versus 6.843 QALYs for SMBG). An increase in costs of KRW 16.4 million (from KRW 90.4 million to KRW 106.8 million) was associated with rt-CGM. The incremental cost-utility ratio was KRW 24.0 million per QALY gained, significantly lower than the KRW 46 million threshold. CONCLUSIONS For individuals with T2D managed by intensive insulin therapy in South Korea, rt-CGM is cost-effective relative to SMBG.
Collapse
Affiliation(s)
- Ji Yoon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Sabrina Ilham
- Health Economics & Outcomes Research, Dexcom, San Diego, CA, USA
| | - Hamza Alshannaq
- Health Economics & Outcomes Research, Dexcom, San Diego, CA, USA
- College of Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Richard F Pollock
- Health Economics and Outcomes Research, Covalence Research Ltd, Harpenden, UK
| | - Waqas Ahmed
- Health Economics and Outcomes Research, Covalence Research Ltd, Harpenden, UK
| | - Gregory J Norman
- Health Economics & Outcomes Research, Dexcom, San Diego, CA, USA
| | - Sang-Man Jin
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jae Hyeon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| |
Collapse
|
67
|
Pangrace M, Dolan S, Grace T, Greene E, Long E, McClelland S, Moore J, Morgan DE, Mullins H, Wescott S. AMCP Market Insights Health Plan Best Practice: Implementing continuous glucose monitoring to improve patient outcomes in diabetes. J Manag Care Spec Pharm 2024; 30:S1-S15. [PMID: 38190244 DOI: 10.18553/jmcp.2024.30.1-a.s1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
Diabetes is a complex chronic condition that affects the body's ability to produce or use insulin effectively, resulting in elevated blood glucose levels. It is associated with various complications and comorbidities, significantly impacting both individuals and the health care system. Effective management involves a combination of lifestyle adjustments, medication adherence, monitoring, education, and support. The expanding use of continuous glucose monitoring (CGM) has been transformative in diabetes care, providing valuable real-time data and insights for better management. To understand the opportunity for health plans to support improved patient outcomes with CGM, AMCP sponsored a multifaceted approach to identify best practices consisting of expert interviews, a national payer survey, an expert panel workshop with clinical experts and managed care stakeholders, and a national webcast to communicate the program findings. This article summarizes current evidence for CGM to support managed care and payer professionals in making collaborative, evidence-based decisions to optimize outcomes among patients with diabetes. In addition, this review also presents the findings of a national payer survey and describes expert-supported health plan best practices around coverage and access to CGM.
Collapse
Affiliation(s)
| | - Sheri Dolan
- Bureau of Professional and Ancillary Services, University of Illinois at Chicago
| | | | | | | | | | - Josh Moore
- MO HealthNet Division, Missouri Department of Social Services, Columbia
| | - Diane E Morgan
- Government Programs Pharmacy, UnitedHealthcare, Severn, MD
| | | | | |
Collapse
|
68
|
Peyyety V, Zupa MF, Hewitt B, Rodriguez Gonzalez A, Mani I, Prioleau T, McCurley J, Lin YK, Vajravelu ME. Barriers and Facilitators to Uptake of Continuous Glucose Monitoring for Management of Type 2 Diabetes Mellitus in Youth. Sci Diabetes Self Manag Care 2023; 49:426-437. [PMID: 37927056 PMCID: PMC10895543 DOI: 10.1177/26350106231205030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2023]
Abstract
PURPOSE The purpose of this study was to identify factors impacting the acceptability of continuous glucose monitoring (CGM) in adolescents and young adults (AYAs) with type 2 diabetes mellitus (T2DM). METHODS In this single-center study, semistructured interviews were conducted with AYAs with T2DM and their parents to determine attitudes about CGM, including barriers and facilitators. Interviews were audio-recorded, transcribed, and evaluated using thematic analysis. RESULTS Twenty AYAs and 10 parents participated (n = 30 total). AYAs were mean age 16.5 years (SD 2.2, range = 13.7-20.1) and had median diabetes duration of 1.3 years. Most were female (65%) and from minoritized background (40% non-Hispanic Black, 10% Hispanic, 5% Asian). Seven (35%) used CGM. The primary facilitator elicited was convenience over glucose meter use. Important barriers included the impact of physically wearing the device and drawing unwanted attention, desire for AYA privacy, and inadequate education about the device. CONCLUSIONS In this diverse sample of AYAs with T2DM and their parents, CGM was generally regarded as convenient, although concerns about worsening stigma and conflict with parents were prevalent. These findings can guide the development of patient-centered approaches to CGM for AYAs with T2DM, a critical step toward reducing inequities in diabetes technology uptake.
Collapse
Affiliation(s)
- Vaishnavi Peyyety
- Division of Pediatric Endocrinology, Diabetes, and Metabolism and Center for Pediatric Research in Obesity and Metabolism, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania
| | - Margaret F Zupa
- Division of Endocrinology and Metabolism, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Brianna Hewitt
- Division of Pediatric Endocrinology, Diabetes, and Metabolism and Center for Pediatric Research in Obesity and Metabolism, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania
| | | | - Iswariya Mani
- Division of Pediatric Endocrinology, Diabetes, and Metabolism and Center for Pediatric Research in Obesity and Metabolism, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania
| | | | - Jessica McCurley
- Department of Psychology, San Diego State University, San Diego, California
| | - Yu Kuei Lin
- Division of Metabolism, Endocrinology and Diabetes, University of Michigan, Ann Arbor, Michigan
| | - Mary Ellen Vajravelu
- Division of Pediatric Endocrinology, Diabetes, and Metabolism and Center for Pediatric Research in Obesity and Metabolism, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania
| |
Collapse
|
69
|
Liakos A, Karagiannis T, Avgerinos I, Malandris K, Tsapas A, Bekiari E. Management of type 2 diabetes in the new era. Hormones (Athens) 2023; 22:677-684. [PMID: 37700155 PMCID: PMC10651701 DOI: 10.1007/s42000-023-00488-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 09/06/2023] [Indexed: 09/14/2023]
Abstract
PURPOSE Management of type 2 diabetes is advancing beyond glycemic control and is increasingly based on cardiovascular risk stratification. This review summarizes recent advances in the field and identifies existing knowledge gaps and areas of ongoing research. METHODS A bibliographic search was carried out in PubMed for recently published cardiorenal outcome trials, relevant guidelines, and studies on antidiabetic agents in the pipeline. RESULTS Findings from cardiovascular outcome trials support the use of glucagon-like peptide 1 (GLP-1) receptor agonists or sodium-glucose cotransporter 2 (SGLT-2) inhibitors for patients with established cardiovascular disease or multiple risk factors, although it as yet remains uncertain whether the benefits are transferable to patients at lower absolute cardiovascular risk. Additionally, robust evidence suggests that SGLT-2 inhibitors improve clinical outcomes for people with concomitant heart failure or chronic kidney disease. Gut hormone multiagonists will likely represent another major addition to the therapeutic armamentarium for morbidly obese individuals with diabetes. Moreover, nonalcoholic fatty liver disease is a common comorbidity and several liver outcome trials are awaited with great interest. Use of insulin as first-line injectable therapy has been displaced by GLP-1 receptor agonists. Once-weekly formulations of basal insulins along with combinations with GLP-1 receptor agonists are also under development and could increase patient convenience. Technologies of glucose sensors are rapidly evolving and have the potential to reduce the burden of frequent blood glucose measurements, mainly for patients treated with intensified insulin regimens. CONCLUSION Management of type 2 diabetes requires a holistic approach and recent breakthroughs are expected to improve the quality of care.
Collapse
Affiliation(s)
- Aris Liakos
- Clinical Research and Evidence Based Medicine Unit, Second Medical Department, Aristotle University Thessaloniki, Ippokratio General Hospital, Konstantinoupoleos 49, 54642, Thessaloniki, Greece.
- Diabetes Center, Second Medical Department, Aristotle University Thessaloniki, 54642, Thessaloniki, Greece.
| | - Thomas Karagiannis
- Clinical Research and Evidence Based Medicine Unit, Second Medical Department, Aristotle University Thessaloniki, Ippokratio General Hospital, Konstantinoupoleos 49, 54642, Thessaloniki, Greece
- Diabetes Center, Second Medical Department, Aristotle University Thessaloniki, 54642, Thessaloniki, Greece
| | - Ioannis Avgerinos
- Clinical Research and Evidence Based Medicine Unit, Second Medical Department, Aristotle University Thessaloniki, Ippokratio General Hospital, Konstantinoupoleos 49, 54642, Thessaloniki, Greece
- Diabetes Center, Second Medical Department, Aristotle University Thessaloniki, 54642, Thessaloniki, Greece
| | - Konstantinos Malandris
- Clinical Research and Evidence Based Medicine Unit, Second Medical Department, Aristotle University Thessaloniki, Ippokratio General Hospital, Konstantinoupoleos 49, 54642, Thessaloniki, Greece
- Diabetes Center, Second Medical Department, Aristotle University Thessaloniki, 54642, Thessaloniki, Greece
| | - Apostolos Tsapas
- Clinical Research and Evidence Based Medicine Unit, Second Medical Department, Aristotle University Thessaloniki, Ippokratio General Hospital, Konstantinoupoleos 49, 54642, Thessaloniki, Greece
- Diabetes Center, Second Medical Department, Aristotle University Thessaloniki, 54642, Thessaloniki, Greece
- Harris Manchester College, University of Oxford, Oxford, OX1 3TD, UK
| | - Eleni Bekiari
- Clinical Research and Evidence Based Medicine Unit, Second Medical Department, Aristotle University Thessaloniki, Ippokratio General Hospital, Konstantinoupoleos 49, 54642, Thessaloniki, Greece
- Diabetes Center, Second Medical Department, Aristotle University Thessaloniki, 54642, Thessaloniki, Greece
| |
Collapse
|
70
|
Lever CS, Williman JA, Boucsein A, Watson A, Sampson RS, Sergel-Stringer OT, Keesing C, Chepulis L, Wheeler BJ, de Bock MI, Paul RG. Study protocol: glycaemic outcomes in people with type 2 diabetes initiating continuous glucose monitoring: the 2GO-CGM study. J Diabetes Metab Disord 2023; 22:1779-1792. [PMID: 37969919 PMCID: PMC10638210 DOI: 10.1007/s40200-023-01244-y] [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: 02/20/2023] [Accepted: 05/31/2023] [Indexed: 11/17/2023]
Abstract
Purpose Improving glycaemic control in type 2 diabetes (T2D) is essential to reducing social and health-economic burden of diabetes-related complications. Continuous glucose monitoring (CGM) has been established as beneficial in improving glycaemic control and reducing hypoglycaemia in people with type 1 diabetes, however data in T2D is limited. This study has been designed to assess the effect of initiating real-time CGM (rtCGM) on glycaemic control in a high-risk population of adults with T2D. Secondary objectives are to assess the cost-effectiveness and safety of rtCGM, and the effects of rtCGM on diet/lifestyle and the burden of diabetic complications, including cardiovascular risk. Methods This multicentre randomised controlled trial (RCT) will be conducted at three sites in New Zealand (Waikato, Christchurch and Dunedin). Eighty adults with T2D on insulin with suboptimal glycaemic control (HbA1c > 8.0% or 64 mmol/mol) will be randomised 1:1 to rtCGM or routine care with self-monitoring of blood glucose levels (SMBG) for three months. This intervention phase will be followed by a three-month continuation phase where SMBG group crossover to use rtCGM. Participants will then be invited to join the extension phase with continued use of rtCGM for a further 12 months. During the extension phase, both groups will independently titrate their insulin under the remote supervision of prescribing diabetes nurse specialists following an insulin titration algorithm. The primary outcome of the study is time in target glucose range (3.9-10 mmol/L or 70-180 mg/dL; TIR). Secondary outcomes include CGM metrics as per consensus statement recommendations, and HbA1c. Additional planned analyses include cardiovascular risk profile, incremental cost-effectiveness analyses, dietary patterns, and qualitative analyses. Trial registration number The trial was registered with the Australian New Zealand Clinical Trials Registry (ACTRN12621000889853) on 8 July 2021 and the World Health Organisation International Clinical Trial Registry Platform (Universal Trial Number U1111-1264-5822).
Collapse
Affiliation(s)
- Claire S. Lever
- Te Huataki Waiora, School of Health, University of Waikato, Hamilton, Aotearoa New Zealand
- Waikato Regional Diabetes Service, Te Whatu Ora Health New Zealand Waikato, Hamilton, New Zealand
- Aotearoa Diabetes Collective, Hamilton, Waikato New Zealand
| | | | - Alisa Boucsein
- Department of Women’s and Children’s Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Antony Watson
- Department of Paediatrics, University of Otago, Christchurch, New Zealand
| | - Rachael S. Sampson
- Waikato Regional Diabetes Service, Te Whatu Ora Health New Zealand Waikato, Hamilton, New Zealand
- Aotearoa Diabetes Collective, Hamilton, Waikato New Zealand
| | - Oscar T. Sergel-Stringer
- Department of Women’s and Children’s Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Celeste Keesing
- Waikato Regional Diabetes Service, Te Whatu Ora Health New Zealand Waikato, Hamilton, New Zealand
- Pinnacle Midlands Health Network, New Plymouth, New Zealand
| | - Lynne Chepulis
- Te Huataki Waiora, School of Health, University of Waikato, Hamilton, Aotearoa New Zealand
| | - Benjamin J. Wheeler
- Department of Women’s and Children’s Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
- Department of Paediatrics, Te Whatu Ora Southern, Dunedin, New Zealand
| | - Martin I. de Bock
- Department of Paediatrics, University of Otago, Christchurch, New Zealand
- Department of Paediatrics, Te Whatu Ora Health New Zealand Waitaha Canterbury, Christchurch, New Zealand
| | - Ryan G. Paul
- Te Huataki Waiora, School of Health, University of Waikato, Hamilton, Aotearoa New Zealand
- Waikato Regional Diabetes Service, Te Whatu Ora Health New Zealand Waikato, Hamilton, New Zealand
- Aotearoa Diabetes Collective, Hamilton, Waikato New Zealand
| |
Collapse
|
71
|
Kim JY, Yoo JH, Kim JH. Comparison of Glycemia Risk Index with Time in Range for Assessing Glycemic Quality. Diabetes Technol Ther 2023; 25:883-892. [PMID: 37668665 DOI: 10.1089/dia.2023.0264] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/06/2023]
Abstract
Background: The glycemia risk index (GRI) is a novel composite continuous glucose monitoring (CGM) metric that gives greater weight to hypoglycemia than to hyperglycemia and to extreme hypo/hyperglycemia over less extreme hypo/hyperglycemia. This study aimed at validating the effectiveness of GRI and at comparing it with time in range (TIR) in assessing glycemic quality in clinical practice. Methods: A total of 524 ninety-day CGM tracings of 194 insulin-treated adults with diabetes were included in the analysis. GRI was assessed according to standard metrics in ambulatory glucose profiles. Both cross-sectional and longitudinal analyses were performed to compare the GRI and TIR. Results: The GRI was strongly correlated not only with TIR (r = -0.974), but also with the coefficient of variation (r = 0.683). To identify whether the GRI differed by hypoglycemia even with a similar TIR, CGM tracings were grouped according to TIR (50% to <60%, 60% to <70%, 70% to <80%, and ≥80%). In each TIR group, the GRI increased as time below range (TBR)<70 mg/dL increased (P < 0.001 for all TIR groups). In longitudinal analysis, as TBR<70 mg/dL improved, the GRI improved significantly (P = 0.003) whereas TIR did not (P = 0.704). Both GRI and TIR improved as time above range (TAR)>180 mg/dL improved (P < 0.001 for both). The longitudinal change was easily identifiable on a GRI grid. Conclusions: The GRI is a useful tool for assessing glycemic quality in clinical practice and reflects hypoglycemia better than does TIR.
Collapse
Affiliation(s)
- Ji Yoon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jee Hee Yoo
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea
| | - Jae Hyeon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| |
Collapse
|
72
|
Courtney A, Smith D, Forde H. Real-world outcomes of continuous glucose monitoring in adults with diabetes mellitus attending an Irish tertiary hospital. Ir J Med Sci 2023; 192:2763-2768. [PMID: 36940009 PMCID: PMC10025786 DOI: 10.1007/s11845-023-03322-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 02/15/2023] [Indexed: 03/21/2023]
Abstract
BACKGROUNDS AND AIMS The American Diabetes Association/European Association for the Study of Diabetes recently recommend the preferential use of continuous glucose monitoring(CGM) over self-monitoring of blood glucose for the management of type 1 diabetes (T1DM). For most adults with T1DM, the recommended target time in range is > 70% with < 4% time below range. In Ireland, CGM use has become increasingly popular since 2021. We aimed to audit adult CGM use and analyse CGM metrics in our cohort of adults with diabetes attending a tertiary diabetes centre. METHODS People with diabetes who were using DEXCOM G6 CGM devices, and sharing their data with the healthcare team on the DEXCOM CLARITY for healthcare professionals platform were included in the audit. Clinical information, glycated haemoglobin (HbA1c) and CGM metrics were gathered retrospectively from medical records and the DEXCOM CLARITY platform. RESULTS Data were available for 119 CGM users, 96.9% with T1DM, median age 36 years (IQR = 20) and median diabetes duration 17 years (IQR = 20). Fifty-three per cent of the cohort was male. Mean time in range was 56.2% (SD = 19.2) and mean time below range was 2.3% (SD = 2.6). Mean HbA1c in CGM users was 56.7 mmol/mol (SD = 13.1). This represented a decrease of 6.7 mmol/mol compared to the last HbA1c measurements available pre-commencement of CGM (p ≤ 0.0001, CI 4.4-8.9). The percentage of people in this cohort with a HbA1c < 53 mmol/mol was 40.6% (n = 39/96), compared to 17.5% (n = 18/103) pre-commencement of CGM. CONCLUSIONS Our study highlights the challenges in optimising the use of CGM. Our team aims to focus on providing additional education to CGM users, more frequent touch-base virtual reviews and increasing access to hybrid closed-loop insulin pump therapy.
Collapse
Affiliation(s)
- Aoife Courtney
- Department of Endocrinology and Diabetes Mellitus, Beaumont Hospital/RCSI Medical School, Dublin, Ireland.
| | - Diarmuid Smith
- Department of Endocrinology and Diabetes Mellitus, Beaumont Hospital/RCSI Medical School, Dublin, Ireland
| | - Hannah Forde
- Department of Endocrinology and Diabetes Mellitus, Beaumont Hospital/RCSI Medical School, Dublin, Ireland
| |
Collapse
|
73
|
Hughes MS, Addala A, Buckingham B. Digital Technology for Diabetes. N Engl J Med 2023; 389:2076-2086. [PMID: 38048189 DOI: 10.1056/nejmra2215899] [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: 12/06/2023]
Affiliation(s)
- Michael S Hughes
- From the Division of Endocrinology, Gerontology, and Metabolism, Department of Medicine (M.S.H.), and the Division of Pediatric Endocrinology, Department of Pediatrics (A.A., B.B), Stanford University, Stanford, CA
| | - Ananta Addala
- From the Division of Endocrinology, Gerontology, and Metabolism, Department of Medicine (M.S.H.), and the Division of Pediatric Endocrinology, Department of Pediatrics (A.A., B.B), Stanford University, Stanford, CA
| | - Bruce Buckingham
- From the Division of Endocrinology, Gerontology, and Metabolism, Department of Medicine (M.S.H.), and the Division of Pediatric Endocrinology, Department of Pediatrics (A.A., B.B), Stanford University, Stanford, CA
| |
Collapse
|
74
|
Zahedani AD, McLaughlin T, Veluvali A, Aghaeepour N, Hosseinian A, Agarwal S, Ruan J, Tripathi S, Woodward M, Hashemi N, Snyder M. Digital health application integrating wearable data and behavioral patterns improves metabolic health. NPJ Digit Med 2023; 6:216. [PMID: 38001287 PMCID: PMC10673832 DOI: 10.1038/s41746-023-00956-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 11/01/2023] [Indexed: 11/26/2023] Open
Abstract
The effectiveness of lifestyle interventions in reducing caloric intake and increasing physical activity for preventing Type 2 Diabetes (T2D) has been previously demonstrated. The use of modern technologies can potentially further improve the success of these interventions, promote metabolic health, and prevent T2D at scale. To test this concept, we built a remote program that uses continuous glucose monitoring (CGM) and wearables to make lifestyle recommendations that improve health. We enrolled 2,217 participants with varying degrees of glucose levels (normal range, and prediabetes and T2D ranges), using continuous glucose monitoring (CGM) over 28 days to capture glucose patterns. Participants logged food intake, physical activity, and body weight via a smartphone app that integrated wearables data and provided daily insights, including overlaying glucose patterns with activity and food intake, macronutrient breakdown, glycemic index (GI), glycemic load (GL), and activity measures. The app furthermore provided personalized recommendations based on users' preferences, goals, and observed glycemic patterns. Users could interact with the app for an additional 2 months without CGM. Here we report significant improvements in hyperglycemia, glucose variability, and hypoglycemia, particularly in those who were not diabetic at baseline. Body weight decreased in all groups, especially those who were overweight or obese. Healthy eating habits improved significantly, with reduced daily caloric intake and carbohydrate-to-calorie ratio and increased intake of protein, fiber, and healthy fats relative to calories. These findings suggest that lifestyle recommendations, in addition to behavior logging and CGM data integration within a mobile app, can enhance the metabolic health of both nondiabetic and T2D individuals, leading to healthier lifestyle choices. This technology can be a valuable tool for T2D prevention and treatment.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Michael Snyder
- January AI, Menlo Park, CA, USA.
- Stanford University, Stanford, CA, USA.
| |
Collapse
|
75
|
Abstract
Diabetes technology has undergone a remarkable evolution in the past decade, with dramatic improvements in accuracy and ease of use. Continuous glucose monitor (CGM) technology, in particular, has evolved, and coevolved with widely available consumer smartphone technology, to provide a unique opportunity to both improve management and decrease the burden of management for populations across nearly the entire spectrum of people living with diabetes. Capitalizing on that opportunity, however, will require both adoption of and adaptations to the use of CGM technology in the broader world of primary care. This article focuses on mechanisms to expand pathways to optimized glycemic management, thereby creating a robust roadway capable of improving care across broad populations managed in primary care settings. Recent expansions in access to devices combined with improved mechanisms for data access at the time of primary care visits and improved training and evolving systems of support within primary care, hold potential to improve glycemic management in diabetes across the health care spectrum.
Collapse
Affiliation(s)
- Thomas W. Martens
- International Diabetes Center and Park Nicollet Department of Internal Medicine, St. Louis Park, MN
| |
Collapse
|
76
|
Battelino T, Brosius F, Ceriello A, Cosentino F, Green J, Kellerer M, Koob S, Kosiborod M, Lalic N, Marx N, Nedungadi TP, Rydén L, Rodbard HW, Ji L, Sheu WHH, Standl E, Parkin CG, Schnell O. Guideline Development for Medical Device Technology: Issues for Consideration. J Diabetes Sci Technol 2023; 17:1698-1710. [PMID: 35531901 PMCID: PMC10658688 DOI: 10.1177/19322968221093355] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Advances in the development of innovative medical devices and telehealth technologies create the potential to improve the quality and efficiency of diabetes care through collecting, aggregating, and interpreting relevant health data in ways that facilitate more informed decisions among all stakeholder groups. Although many medical societies publish guidelines for utilizing these technologies in clinical practice, we believe that the methodologies used for the selection and grading of the evidence should be revised. In this article, we discuss the strengths and limitations of the various types of research commonly used for evidence selection and grading and present recommendations for modifying the process to more effectively address the rapid pace of device and technology innovation and new product development.
Collapse
Affiliation(s)
- Tadej Battelino
- University Medical Center Ljubljana, University of Ljubljana, Ljubljana, Slovenia
| | - Frank Brosius
- University of Arizona College of Medicine–Tucson, AZ, USA
| | | | - Francesco Cosentino
- Cardiology Unit, Department of Medicine, Karolinska Institute, Karolinska University Hospital, Stockholm, Sweden
| | - Jennifer Green
- Duke University Medical Center, Duke Clinical Research Institute, Durham, NC, USA
| | | | | | - Mikhail Kosiborod
- Saint Luke’s Mid America Heart Institute, University of Missouri-Kansas City, Kansas City, MO, USA
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Nebojsa Lalic
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Center of Serbia, University of Belgrade, Belgrade, Serbia
| | - Nikolaus Marx
- Department of Internal Medicine I, University Hospital Aachen, RWTH Aachen University, Aachen, Germany
| | | | - Lars Rydén
- Department of Medicine K2, Karolinska Institute, Stockholm, Sweden
| | | | - Linong Ji
- Peking University People’s Hospital, Beijing, China
| | - Wayne Huey-Herng Sheu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung City
| | | | | | | |
Collapse
|
77
|
Maiorino MI, Buzzetti R, Irace C, Laviola L, Napoli N, Pitocco D, Esposito K. An updated algorithm for an effective choice of continuous glucose monitoring for people with insulin-treated diabetes. Endocrine 2023; 82:215-225. [PMID: 37676398 PMCID: PMC10543826 DOI: 10.1007/s12020-023-03473-w] [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: 05/06/2023] [Accepted: 07/25/2023] [Indexed: 09/08/2023]
Abstract
PURPOSE Continuous Glucose Monitoring (CGM) is a key tool for insulin-treated people with diabetes (PwD). CGM devices include both real-time CGM (rtCGM) and intermittently scanned CGM (isCGM), which are associated with an improvement of glucose control and less hypoglycemia in clinical trials of people with type 1 and type 2 diabetes. METHODS This is an expert position to update a previous algorithm on the most suitable choice of CGM for insulin-treated PwD in light of the recent evidence and clinical practice. RESULTS We identified six different clinical scenarios, including type 1 diabetes, type 2 diabetes, pregnancy on intensive insulin therapy, regular physical exercise, new onset of diabetes, and frailty. The use of rtCGM or isCGM is suggested, on the basis of the predominant clinical issue, as suboptimal glucose control or disabling hypoglycemia, regardless of baseline HbA1c or individualized HbA1c target. CONCLUSION The present algorithm may help to select the best CGM device based on patients' clinical characteristics, needs and clinical context, offering a further opportunity of a "tailored" therapy for people with insulin-treated diabetes.
Collapse
Affiliation(s)
- Maria Ida Maiorino
- Unit of Endocrinology and Metabolic Diseases, University Hospital Luigi Vanvitelli, Piazza Miraglia 2, 80138, Naples, Italy.
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Piazza Miraglia 2, 80138 Naples, Naples, Italy.
| | - Raffaella Buzzetti
- Department of Experimental Medicine, "Sapienza" University of Rome, Viale Regina Elena 324, 00161, Rome, Italy
| | - Concetta Irace
- Department of Health Science, University Magna Graecia, Viale Europa, 88100, Catanzaro, Italy
| | - Luigi Laviola
- Department of Precision and Regenerative Medicine and Ionian Area, Section of Internal Medicine, Endocrinology, Andrology and Metabolic Diseases, University of Bari Aldo Moro, Piazza Giulio Cesare 11, 70124, Bari, Italy
| | - Nicola Napoli
- Fondazione Policlinico Universitario Campus Bio-Medico, Research Unit of Endocrinology and Diabetes, Department of Medicine and Surgery, Università Campus Bio-Medico of Rome, Via Alvaro del Portillo 21, 00128, Rome, Italy
| | - Dario Pitocco
- Diabetes Care Unit, Department of Translational Medicine and Surgery, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo Francesco Vito 1, 00168, Rome, Italy
| | - Katherine Esposito
- Unit of Endocrinology and Metabolic Diseases, University Hospital Luigi Vanvitelli, Piazza Miraglia 2, 80138, Naples, Italy
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Piazza Miraglia 2, 80138 Naples, Naples, Italy
| |
Collapse
|
78
|
Soriano EC, Polonsky WH. The Influence of Real-Time Continuous Glucose Monitoring on Psychosocial Outcomes in Insulin-Using Type 2 Diabetes. J Diabetes Sci Technol 2023; 17:1614-1622. [PMID: 35533137 PMCID: PMC10658676 DOI: 10.1177/19322968221094831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND To examine the impact of real-time continuous glucose monitoring (rtCGM) on psychosocial outcomes in adults with insulin-using type 2 diabetes (T2D). METHODS A total of 174 insulin-using adults with T2D completed questionnaires assessing diabetes distress, hypoglycemic confidence, hypoglycemic fear, device-related emotional burden, and device-related trust before and after a six-month trial of rtCGM. Hemoglobin A1c (HbA1c) was assessed at the same time points; impaired hypoglycemic awareness (IAH) was assessed at baseline. Change in psychosocial outcomes was examined with t tests, then modeled as a function of baseline HbA1c and IAH and simultaneous change in HbA1c in multiple regression analyses. RESULTS Respondents were predominantly male (57.5%) and non-Hispanic white (67.8%). Significant improvement over the trial was observed in hypoglycemic fear (P = .031), hypoglycemic confidence (P < .001), diabetes distress (P < .001), and device-related emotional burden (P < .001). Impaired hypoglycemic awareness at baseline predicted greater improvement in hypoglycemic fear (P = .002), hypoglycemic confidence (P = .003), diabetes distress (P = .013), and device-related emotional burden (P < .001). Higher baseline HbA1c was linked with greater improvement in hypoglycemic fear (P = .030); HbA1c change over the trial was positively associated with change in diabetes distress (P = .010) and device-related emotional burden (P = .003). CONCLUSIONS Introduction of rtCGM in adults with insulin-using T2D was associated with significant improvements in diabetes-related psychosocial outcomes over six months. Gains were significantly greater among participants reporting IAH and those with higher HbA1c at baseline, thus providing the first evidence regarding which users might more likely benefit.
Collapse
Affiliation(s)
| | - William H. Polonsky
- Behavioral Diabetes Institute, San Diego, CA, USA
- Department of Medicine, University of California, San Diego, San Diego, CA, USA
| |
Collapse
|
79
|
Aleppo G, Gal RL, Raghinaru D, Kruger D, Beck RW, Bergenstal RM, Cushman T, Hood KK, Johnson ML, McArthur T, Bradshaw A, Olson BA, Oser SM, Oser TK, Kollman C, Weinstock RS. Comprehensive Telehealth Model to Support Diabetes Self-Management. JAMA Netw Open 2023; 6:e2336876. [PMID: 37792375 PMCID: PMC10551767 DOI: 10.1001/jamanetworkopen.2023.36876] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 08/28/2023] [Indexed: 10/05/2023] Open
Abstract
Importance As the number of patients with diabetes continues to increase in the United States, novel approaches to clinical care access should be considered to meet the care needs for this population, including support for diabetes-related technology. Objective To evaluate a virtual clinic to facilitate comprehensive diabetes care, support continuous glucose monitoring (CGM) integration into diabetes self-management, and provide behavioral health support for diabetes-related issues. Design, Setting, and Participants This cohort study was a prospective, single-arm, remote study involving adult participants with type 1 or type 2 diabetes who were referred through community resources. The study was conducted virtually from August 24, 2020, to May 26, 2022; analysis was conducted at the clinical coordinating center. Intervention Training and education led by a Certified Diabetes Care and Education Specialist for CGM use through a virtual endocrinology clinic structure, which included endocrinologists and behavioral health team members. Main Outcomes and Measures Main outcomes included CGM-measured mean glucose level, coefficient of variation, and time in range (TIR) of 70 to 180 mg/dL, time with values greater than 180 mg/dL or 250 mg/dL, and time with values less than 70 mg/dL or 54 mg/dL. Hemoglobin A1c was measured at baseline and at 12 and 24 weeks. Results Among the 234 participants, 160 had type 1 diabetes and 74 had type 2 diabetes. The mean (SD) age was 47 (14) years, 123 (53%) were female, and median diabetes duration was 20 years. Median (IQR) CGM use over 6 months was 96% (91%-98%) for participants with type 1 diabetes and 94% (85%-97%) for those with type 2 diabetes. Mean (SD) hemoglobin A1c (HbA1c) in those with type 1 diabetes decreased from 7.8% (1.6%) at baseline to 7.1% (1.0%) at 3 months and 7.1% (1.0%) at 6 months (mean change from baseline to 6 months, -0.6%, 95% CI, -0.8% to -0.5%; P < .001), with an 11% mean TIR increase over 6 months (95% CI, 9% to 14%; P < .001). Mean HbA1c in participants with type 2 diabetes decreased from 8.1% (1.7%) at baseline to 7.1% (1.0%) at 3 months and 7.1% (0.9%) at 6 months (mean change from baseline to 6 months, -1.0%; 95% CI, -1.4% to -0.7%; P < .001), with an 18% TIR increase over 6 months (95% CI, 13% to 24%; P < .001). In participants with type 1 diabetes, mean percentage of time with values less than 70 mg/dL and less than 54 mg/dL decreased over 6 months by 0.8% (95% CI, -1.2% to -0.4%; P = .001) and by 0.3% (95% CI, -0.5% to -0.2%, P < .001), respectively. In the type 2 diabetes group, hypoglycemia was rare (mean [SD] percentage of time <70 mg/dL, 0.5% [0.6%]; and <54 mg/dL, 0.07% [0.14%], over 6 months). Conclusions and Relevance Results from this cohort study demonstrated clinical benefits associated with implementation of a comprehensive care model that included diabetes education. This model of care has potential to reach a large portion of patients with diabetes, facilitate diabetes technology adoption, and improve glucose control.
Collapse
Affiliation(s)
- Grazia Aleppo
- Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Robin L Gal
- Jaeb Center for Health and Research, Tampa, Florida
| | | | | | - Roy W Beck
- Jaeb Center for Health and Research, Tampa, Florida
| | | | | | - Korey K Hood
- Stanford University School of Medicine, Stanford, California
| | | | | | | | | | - Sean M Oser
- University of Colorado School of Medicine, Aurora
| | | | | | | |
Collapse
|
80
|
Aleppo G, Hirsch IB, Parkin CG, McGill J, Galindo R, Kruger DF, Levy CJ, Forlenza GP, Umpierrez GE, Grunberger G, Bergenstal RM. Coverage for Continuous Glucose Monitoring for Individuals with Type 2 Diabetes Treated with Nonintensive Therapies: An Evidence-Based Approach to Policymaking. Diabetes Technol Ther 2023; 25:741-751. [PMID: 37471068 PMCID: PMC10611973 DOI: 10.1089/dia.2023.0268] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/21/2023]
Abstract
Numerous studies have demonstrated the clinical benefits of continuous glucose monitoring (CGM) in individuals with type 1 diabetes (T1D) and type 2 diabetes (T2D) who are treated with intensive insulin regimens. Based on this evidence, CGM is now a standard of care for individuals within these diabetes populations and widely covered by commercial and public insurers. Moreover, recent clinical guidelines from the American Diabetes Association and American Association of Clinical Endocrinology now endorse CGM use in individuals treated with nonintensive insulin regimens. However, despite increasing evidence supporting CGM use for individuals treated with less-intensive insulin therapy or noninsulin medications, insurance coverage is limited or nonexistent. This narrative review reports key findings from recent randomized, observational, and retrospective studies investigating use of CGM in T2D individuals treated with basal insulin only and/or noninsulin therapies and presents an evidence-based rationale for expanding access to CGM within this population.
Collapse
Affiliation(s)
- Grazia Aleppo
- Division of Endocrinology, Metabolism and Molecular Medicine, Feinberg School of Medicine Northwestern University, Chicago, Illinois, USA
| | | | | | - Janet McGill
- Division of Endocrinology, Metabolism and Lipid Research, Washington University in St. Louis, School of Medicine, St. Louis, Missouri, USA
| | - Rodolfo Galindo
- Lennar Medical Center, UMiami Health System, Jackson Memorial Health System, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Davida F. Kruger
- Division of Endocrinology, Diabetes, Bone & Mineral, Henry Ford Health System, Detroit, Michigan, USA
| | - Carol J. Levy
- Division of Endocrinology, Diabetes, and Metabolism, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Gregory P. Forlenza
- Division of Pediatric Endocrinology, Department of Pediatrics, Barbara Davis Center, University of Colorado Denver, Aurora, Colorado, USA
| | - Guillermo E. Umpierrez
- Division of Endocrinology, Metabolism Emory University School of Medicine, Grady Memorial Hospital, Atlanta, Georgia, USA
| | | | - Richard M. Bergenstal
- International Diabetes Center at Park Nicollet, HealthPartners Institute, Minneapolis, Minnesota, USA
| |
Collapse
|
81
|
Yoo JH, Kim JH. The Benefits Of Continuous Glucose Monitoring In Pregnancy. Endocrinol Metab (Seoul) 2023; 38:472-481. [PMID: 37821081 PMCID: PMC10613771 DOI: 10.3803/enm.2023.1805] [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: 08/18/2023] [Revised: 09/04/2023] [Accepted: 09/06/2023] [Indexed: 10/13/2023] Open
Abstract
Previous studies have consistently demonstrated the positive effects of continuous glucose monitoring (CGM) on glycemic outcomes and complications of diabetes in people with type 1 diabetes. Guidelines now consider CGM to be an essential and cost-effective device for managing type 1 diabetes. As a result, insurance coverage for it is available. Evidence supporting CGM continues to grow and expand to broader populations, such as pregnant people with type 1 diabetes, people with type 2 diabetes treated only with basal insulin therapy, and even type 2 diabetes that does not require insulin treatment. However, despite the significant risk of hyperglycemia in pregnancy, which leads to complications in more than half of affected newborns, CGM indications and insurance coverage for those patients are unresolved. In this review article, we discuss the latest evidence for using CGM to offer glycemic control and reduce perinatal complications, along with its cost-effectiveness in pregestational type 1 and type 2 diabetes and gestational diabetes mellitus. In addition, we discuss future prospects for CGM coverage and indications based on this evidence.
Collapse
Affiliation(s)
- Jee Hee Yoo
- Division of Endocrinology and Metabolism, Department of Medicine, Yonsei University Wonju College of Medicine, Wonju, 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
| |
Collapse
|
82
|
Sacks DB, Arnold M, Bakris GL, Bruns DE, Horvath AR, Lernmark Å, Metzger BE, Nathan DM, Kirkman MS. Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus. Diabetes Care 2023; 46:e151-e199. [PMID: 37471273 PMCID: PMC10516260 DOI: 10.2337/dci23-0036] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 05/11/2023] [Indexed: 07/22/2023]
Abstract
BACKGROUND Numerous laboratory tests are used in the diagnosis and management of diabetes mellitus. The quality of the scientific evidence supporting the use of these assays varies substantially. APPROACH An expert committee compiled evidence-based recommendations for laboratory analysis in screening, diagnosis, or monitoring of diabetes. The overall quality of the evidence and the strength of the recommendations were evaluated. The draft consensus recommendations were evaluated by invited reviewers and presented for public comment. Suggestions were incorporated as deemed appropriate by the authors (see Acknowledgments). The guidelines were reviewed by the Evidence Based Laboratory Medicine Committee and the Board of Directors of the American Association for Clinical Chemistry and by the Professional Practice Committee of the American Diabetes Association. CONTENT Diabetes can be diagnosed by demonstrating increased concentrations of glucose in venous plasma or increased hemoglobin A1c (HbA1c) in the blood. Glycemic control is monitored by the people with diabetes measuring their own blood glucose with meters and/or with continuous interstitial glucose monitoring (CGM) devices and also by laboratory analysis of HbA1c. The potential roles of noninvasive glucose monitoring, genetic testing, and measurement of ketones, autoantibodies, urine albumin, insulin, proinsulin, and C-peptide are addressed. SUMMARY The guidelines provide specific recommendations based on published data or derived from expert consensus. Several analytes are found to have minimal clinical value at the present time, and measurement of them is not recommended.
Collapse
Affiliation(s)
- David B. Sacks
- Department of Laboratory Medicine, National Institutes of Health, Bethesda, MD
| | - Mark Arnold
- Department of Chemistry, University of Iowa, Iowa City, IA
| | - George L. Bakris
- Department of Medicine, American Heart Association Comprehensive Hypertension Center, Section of Endocrinology, Diabetes and Metabolism, University of Chicago Medicine, Chicago, IL
| | - David E. Bruns
- Department of Pathology, University of Virginia Medical School, Charlottesville, VA
| | - Andrea R. Horvath
- New South Wales Health Pathology Department of Chemical Pathology, Prince of Wales Hospital, Sydney, New South Wales, Australia
| | - Åke Lernmark
- Department of Clinical Sciences, Lund University/CRC, Skane University Hospital Malmö, Malmö, Sweden
| | - Boyd E. Metzger
- Division of Endocrinology, Northwestern University, The Feinberg School of Medicine, Chicago, IL
| | - David M. Nathan
- Massachusetts General Hospital Diabetes Center and Harvard Medical School, Boston, MA
| | - M. Sue Kirkman
- Department of Medicine, University of North Carolina, Chapel Hill, NC
| |
Collapse
|
83
|
Alshannaq H, Isitt JJ, Pollock RF, Norman GJ, Cogswell G, Lynch PM, Roze S. Cost-utility of real-time continuous glucose monitoring versus self-monitoring of blood glucose in people with insulin-treated Type 2 diabetes in Canada. J Comp Eff Res 2023; 12:e230075. [PMID: 37668608 PMCID: PMC10690435 DOI: 10.57264/cer-2023-0075] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 07/17/2023] [Indexed: 09/06/2023] Open
Abstract
Aim: Clinical trials and real-world data for Type 2 diabetes have shown that real-time continuous glucose monitoring (rt-CGM) lowers glycated hemoglobin (A1c) and reduces hypoglycemia relative to self-monitoring of blood glucose (SMBG). This analysis examined the long-term health and economic outcomes associated with using rt-CGM versus SMBG in people with insulin-treated Type 2 diabetes in Canada. Materials & methods: Clinical data were sourced from a real-world study, in which rt-CGM reduced A1C by 0.56% versus continued SMBG. The analysis was performed using the IQVIA Core Diabetes Model, from a Canadian payer perspective over a lifetime horizon for a cohort aged 65 years with an A1C of 8.3% at baseline. Future costs and clinical outcomes were discounted at 1.5% annually. Results: Projected total mean lifetime costs were CAD 207,466 for rt-CGM versus CAD 189,863 for SMBG (difference: CAD 17,602) and projected mean quality-adjusted life expectancy was 9.97 quality-adjusted life years (QALYs) for rt-CGM versus 9.02 QALYs for SMBG (difference: 0.95 QALYs), resulting in an incremental cost-utility ratio (ICUR) of CAD 18,523 per QALY gained for rt-CGM versus SMBG. Findings were sensitive to changes in the A1C treatment effect, annual cost and quality of life benefit associated with using rt-CGM, SMBG frequency, and baseline age, but ICURs remained below CAD 50,000 per QALY in all analyses. Conclusion: For people in Canada with insulin-treated Type 2 diabetes and poor glycemic control, use of rt-CGM is likely to be cost-effective relative to SMBG.
Collapse
Affiliation(s)
- Hamza Alshannaq
- Dexcom, Inc., 6340 Sequence Drive, San Diego, CA 92121, USA
- University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH 45267, USA
| | | | - Richard F Pollock
- Covalence Research Ltd., Rivers Lodge, West Common, Harpenden, AL5 2JD, UK
| | | | - Greg Cogswell
- Dexcom, Inc., 6340 Sequence Drive, San Diego, CA 92121, USA
| | - Peter M Lynch
- Dexcom, Inc., 6340 Sequence Drive, San Diego, CA 92121, USA
| | - Stéphane Roze
- Vyoo Agency, 10 rue Yvonne, 691000, Villeurbanne, France
| |
Collapse
|
84
|
Kong L, Deng B, Guo M, Chen M, Wang X, Zhang M, Tang H, Wang Q, Yang L, Xiong Z. A systematic bibliometric analysis on the clinical practice of CGM in diabetes mellitus from 2012 to 2022. Front Endocrinol (Lausanne) 2023; 14:1229494. [PMID: 37810892 PMCID: PMC10556737 DOI: 10.3389/fendo.2023.1229494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 09/06/2023] [Indexed: 10/10/2023] Open
Abstract
Background Continuous glucose monitoring (CGM) has revolutionized diabetes management, but a comprehensive analysis of its clinical implementation is lacking. This study aims to explore CGM in diabetes practice over the past decade using bibliometric analysis. It will identify trends, research focal points, and provide a framework for future investigations. Materials and methods The Web of Science Core Collection (WOSCC) was utilized to acquire literature pertaining to the employment of continuous glucose monitoring (CGM) in diabetes that was published between the years 2012 and 2022, and to conduct a comprehensive analysis of the associated citation data. To achieve bibliometric visualization and analysis of the collated data, the bibliography package in the Rstudio(v.4.2.2), Citespace 6.2.R4, and VOS viewer were employed. Results A total of 3024 eligible publications were extracted from 91 countries, with the United States being the leading country in terms of the number of issued articles. Furthermore, the annual publication rate has shown a gradual increase during the past decade. Among the various journals in this field, DIABETES TECHNOLOGY & THERAPEUTICS was identified as the most highly cited one. Keyword clustering analysis of the extracted publications indicates that the research hotspots in the past decade have primarily focused on "continuous glucose monitoring", "glycemic variability", "type 1 diabetes", "hypoglycemia", and "glycemic control". Moreover, the analysis of keyword emergence reveals that "Time In Range" and "Young Adult" represent the current research frontiers for the years 2012-2022. Conclusion The concept of Time in Range (TIR) has garnered considerable attention as a significant area of inquiry and an emerging research trend in the clinical practice of Continuous Glucose Monitoring (CGM) for Diabetes Mellitus. Moreover, recent investigations have demonstrated a growing focus on young adults with type 1 diabetes as the research population of interest. In the foreseeable future, research endeavors will persist in the pursuit of improving glycemic management among young adults through the utilization of continuous glucose monitoring (CGM) technology, while also delving into the examination of the Time in Range metric via supplementary clinical investigations.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | - Liwei Yang
- School of Nursing, Chengdu Medical College, Chengdu, Sichuan, China
| | - Zhenzhen Xiong
- School of Nursing, Chengdu Medical College, Chengdu, Sichuan, China
| |
Collapse
|
85
|
Ye Y, Acevedo Mendez BA, Izard S, Myers AK. Demographic Variables Associated With Diabetes Technology Awareness or Use in Adults With Type 2 Diabetes. Diabetes Spectr 2023; 37:60-64. [PMID: 38385093 PMCID: PMC10877207 DOI: 10.2337/ds23-0013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/23/2024]
Abstract
Background Studies in populations with type 1 diabetes highlight racial/ethnic disparities in the use of diabetes technology; however, little is known about disparities among those with type 2 diabetes. This project investigates the racial/ethnic and socioeconomic disparities in diabetes technology awareness and use in adults with type 2 diabetes in the ambulatory setting. Methods Adults ≥40 years of age with type 2 diabetes in ambulatory care were invited to participate via an e-mail link to a de-identified REDCap (Research Electronic Data Capture) questionnaire. Variables, including awareness and use of continuous glucose monitoring (CGM) and insulin pumps, were summarized descriptively using frequencies and percentages and were compared across racial/ethnic groups, education level, and income using Pearson χ2 or Fisher exact tests. Results The study included 116 participants, most of whom (62%) were White, elderly Medicare recipients. Compared with White participants, those of racially/ethnically minoritized groups were less likely to be aware of CGM (P = 0.013) or insulin pumps (P = 0.001). Participants with a high school education or less were also less likely to be aware of insulin pumps (P = 0.041). Interestingly, neither awareness nor use of CGM or insulin pumps was found to be associated with income. Conclusion This cross-sectional analysis suggests that racially/ethnically minoritized groups and individuals with lower education have less awareness of CGM or insulin pumps.
Collapse
Affiliation(s)
- Yuting Ye
- Department of Medicine, North Shore University Hospital, Northwell Health, Manhasset, NY
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY
| | - Bernardo A. Acevedo Mendez
- Department of Medicine, North Shore University Hospital, Northwell Health, Manhasset, NY
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY
| | - Stephanie Izard
- Quantitative Intelligence, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY
| | - Alyson K. Myers
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY
- Division of Endocrinology, Department of Medicine, Montefiore Einstein, Bronx, NY
- Albert Einstein College of Medicine, Bronx, NY
| |
Collapse
|
86
|
Kompala T, Wong J, Neinstein A. Diabetes Specialists Value Continuous Glucose Monitoring Despite Challenges in Prescribing and Data Review Process. J Diabetes Sci Technol 2023; 17:1265-1273. [PMID: 35403469 PMCID: PMC10563522 DOI: 10.1177/19322968221088267] [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: 11/16/2022]
Abstract
BACKGROUND Diabetes clinicians are key facilitators of continuous glucose monitoring (CGM) provision, but data on provider behavior related to CGM use and CGM generated data are limited. METHODS We conducted a national survey of providers caring for people with diabetes on CGM-related opinions, facilitators and barriers to prescription, and data review practices. RESULTS Of 182 survey respondents, 73.2% worked at academic centers, 70.6% were endocrinologists, and 70.7% practiced in urban settings. Nearly 70% of providers reported CGM use in the majority of their patients with type 1 diabetes. Half of the providers reported CGM use in 10% to 50% of their patients with type 2 diabetes. All respondents believed CGM improved quality of life and could optimize diabetes control. We found no differences in reported rates of CGM use based on providers' years of experience, patient volume, practice setting, or clinic type. Most providers reviewed CGM data each visit (97.7%) and actively involved patients in the data interpretation (98.8%). Only 14.1% of clinicians reported reviewing CGM data without any prompting from patients or their family members outside of visits. Most providers (80.7%) reported their CGM data review was valued by patients although only half reported having adequate time (45.1%) or an efficient process (56.1%) to do so. CONCLUSIONS Despite uniform support for CGM by providers, ongoing challenges related to cost, insurance coverage, and difficulties with prescription were major barriers to CGM use. Increased use of CGM in appropriate populations will necessitate improvements in data access and integration, clearly defined workflows, and decreased administrative burden to obtain CGM.
Collapse
Affiliation(s)
- Tejaswi Kompala
- Division of Endocrinology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Jenise Wong
- Division of Endocrinology, Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA
| | - Aaron Neinstein
- Division of Endocrinology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Center for Digital Health Innovation, University of California, San Francisco, San Francisco, CA, USA
| |
Collapse
|
87
|
Klonoff DC, Wang J, Rodbard D, Kohn MA, Li C, Liepmann D, Kerr D, Ahn D, Peters AL, Umpierrez GE, Seley JJ, Xu NY, Nguyen KT, Simonson G, Agus MSD, Al-Sofiani ME, Armaiz-Pena G, Bailey TS, Basu A, Battelino T, Bekele SY, Benhamou PY, Bequette BW, Blevins T, Breton MD, Castle JR, Chase JG, Chen KY, Choudhary P, Clements MA, Close KL, Cook CB, Danne T, Doyle FJ, Drincic A, Dungan KM, Edelman SV, Ejskjaer N, Espinoza JC, Fleming GA, Forlenza GP, Freckmann G, Galindo RJ, Gomez AM, Gutow HA, Heinemann L, Hirsch IB, Hoang TD, Hovorka R, Jendle JH, Ji L, Joshi SR, Joubert M, Koliwad SK, Lal RA, Lansang MC, Lee WA(A, Leelarathna L, Leiter LA, Lind M, Litchman ML, Mader JK, Mahoney KM, Mankovsky B, Masharani U, Mathioudakis NN, Mayorov A, Messler J, Miller JD, Mohan V, Nichols JH, Nørgaard K, O’Neal DN, Pasquel FJ, Philis-Tsimikas A, Pieber T, Phillip M, Polonsky WH, Pop-Busui R, Rayman G, Rhee EJ, Russell SJ, Shah VN, Sherr JL, Sode K, Spanakis EK, Wake DJ, Waki K, Wallia A, Weinberg ME, Wolpert H, Wright EE, Zilbermint M, Kovatchev B. A Glycemia Risk Index (GRI) of Hypoglycemia and Hyperglycemia for Continuous Glucose Monitoring Validated by Clinician Ratings. J Diabetes Sci Technol 2023; 17:1226-1242. [PMID: 35348391 PMCID: PMC10563532 DOI: 10.1177/19322968221085273] [Citation(s) in RCA: 83] [Impact Index Per Article: 83.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND A composite metric for the quality of glycemia from continuous glucose monitor (CGM) tracings could be useful for assisting with basic clinical interpretation of CGM data. METHODS We assembled a data set of 14-day CGM tracings from 225 insulin-treated adults with diabetes. Using a balanced incomplete block design, 330 clinicians who were highly experienced with CGM analysis and interpretation ranked the CGM tracings from best to worst quality of glycemia. We used principal component analysis and multiple regressions to develop a model to predict the clinician ranking based on seven standard metrics in an Ambulatory Glucose Profile: very low-glucose and low-glucose hypoglycemia; very high-glucose and high-glucose hyperglycemia; time in range; mean glucose; and coefficient of variation. RESULTS The analysis showed that clinician rankings depend on two components, one related to hypoglycemia that gives more weight to very low-glucose than to low-glucose and the other related to hyperglycemia that likewise gives greater weight to very high-glucose than to high-glucose. These two components should be calculated and displayed separately, but they can also be combined into a single Glycemia Risk Index (GRI) that corresponds closely to the clinician rankings of the overall quality of glycemia (r = 0.95). The GRI can be displayed graphically on a GRI Grid with the hypoglycemia component on the horizontal axis and the hyperglycemia component on the vertical axis. Diagonal lines divide the graph into five zones (quintiles) corresponding to the best (0th to 20th percentile) to worst (81st to 100th percentile) overall quality of glycemia. The GRI Grid enables users to track sequential changes within an individual over time and compare groups of individuals. CONCLUSION The GRI is a single-number summary of the quality of glycemia. Its hypoglycemia and hyperglycemia components provide actionable scores and a graphical display (the GRI Grid) that can be used by clinicians and researchers to determine the glycemic effects of prescribed and investigational treatments.
Collapse
Affiliation(s)
- David C. Klonoff
- Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA, USA
| | - Jing Wang
- Florida State University College of Nursing, Tallahassee, FL, USA
| | - David Rodbard
- Biomedical Informatics Consultants LLC, Potomac, MD, USA
| | - Michael A. Kohn
- University of California, San Francisco, San Francisco, CA, USA
| | - Chengdong Li
- Florida State University College of Nursing, Tallahassee, FL, USA
| | | | - David Kerr
- Sansum Diabetes Research Institute, Santa Barbara, CA, USA
| | - David Ahn
- Hoag Memorial Hospital Presbyterian, Newport Beach, CA, USA
| | | | | | | | - Nicole Y. Xu
- Diabetes Technology Society, Burlingame, CA, USA
| | | | | | | | | | | | | | - Ananda Basu
- University of Virginia, Charlottesville, VA, USA
| | - Tadej Battelino
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | | | | | | | | | | | | | | | - Kong Y. Chen
- National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, USA
| | | | | | | | | | - Thomas Danne
- Diabetes Center Auf der Bult, Hannover Medical School, Hannover, Germany
| | | | | | | | | | - Niels Ejskjaer
- Steno Diabetes Center North Denmark, Aalborg University Hospital, Aalborg, Denmark
| | - Juan C. Espinoza
- Children’s Hospital Los Angeles, University of Southern California, Los Angeles, CA, USA
| | | | | | | | | | | | | | | | | | - Thanh D. Hoang
- Walter Reed National Military Medical Center, Bethesda, MD, USA
| | | | | | - Linong Ji
- Peking University People’s Hospital, Peking University Diabetes Center, Beijing, China
| | | | | | | | | | - M. Cecilia Lansang
- Cleveland Clinic, Cleveland, OH, USA
- Cleveland Clinic Lerner College of Medicine, Cleveland, OH, USA
| | - Wei-An (Andy) Lee
- LAC + USC Medical Center, Los Angeles County Department of Health Service, Los Angeles, CA, USA
| | - Lalantha Leelarathna
- Manchester University NHS Foundation Trust and The University of Manchester, Manchester, UK
| | - Lawrence A. Leiter
- Li Ka Shing Knowledge Institute, St. Michael’s Hospital and University of Toronto, Toronto, ON, Canada
| | - Marcus Lind
- University of Gothenburg, Gothenburg, Sweden
| | | | | | | | | | - Umesh Masharani
- University of California, San Francisco, San Francisco, CA, USA
| | | | | | | | | | - Viswanathan Mohan
- Dr. Mohan’s Diabetes Specialities Centre, Chennai, India
- Madras Diabetes Research Foundation, Chennai, India
| | | | | | | | | | | | | | - Moshe Phillip
- Institute for Endocrinology and Diabetes, Schneider Children’s Medical Center of Israel and Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel
| | | | | | - Gerry Rayman
- Ipswich Hospital, East Suffolk and North Essex Foundation Trust and University of East Anglia, Ipswich, UK
| | - Eun-Jung Rhee
- Kangbuk Samsung Hospital, Sungkyunkwan University, Seoul, Korea
| | - Steven J. Russell
- Massachusetts General Hospital Diabetes Research Center, Boston, MA, USA
| | - Viral N. Shah
- Barbara Davis Center for Diabetes, University of Colorado, Aurora, CO, USA
| | | | - Koji Sode
- The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- North Carolina State University, Raleigh, NC, USA
| | | | | | - Kayo Waki
- The University of Tokyo, Tokyo, Japan
| | | | | | | | | | - Mihail Zilbermint
- Johns Hopkins University, Baltimore, MD, USA
- Johns Hopkins Community Physicians, Bethesda, MD, USA
| | | |
Collapse
|
88
|
Shields S, Norman GJ, Thomas R, Ciemins EL. HbA1c Improvements After Initiation of Real-Time Continuous Glucose Monitoring in Primary Care Patients With Type 2 Diabetes. J Diabetes Sci Technol 2023; 17:1423-1424. [PMID: 37165659 PMCID: PMC10563531 DOI: 10.1177/19322968231171176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Affiliation(s)
- Stephen Shields
- American Medical Group Association (AMGA), Alexandria, VA, USA
| | | | | | | |
Collapse
|
89
|
Fantasia KL, Demers LB, Steenkamp DW, Modzelewski KL. An Opportunity for Improvement: Evaluation of Diabetes Technology Education Among Adult Endocrinology Training Programs. J Diabetes Sci Technol 2023; 17:1274-1283. [PMID: 35135342 PMCID: PMC10563541 DOI: 10.1177/19322968221077132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Despite increases in continuous glucose monitor (CGM) and insulin pump use in adults with diabetes, there is room for expansion. Technology adoption may be influenced by the training environment and fellowship education. However, little is known about adult endocrinology trainee comfort with, understanding of, or methods by which trainees receive education about diabetes technology. METHODS Mixed methods, sequential explanatory evaluation using survey and semi-structured interviews of endocrinology trainees and fellowship leadership in Accreditation Council for Graduate Medical Education (ACGME)-accredited adult endocrinology fellowship programs to assess trainee and leadership comfort with, perceived knowledge of, and current methods for diabetes technology education. RESULTS Seventy-seven respondents completed the survey. The majority of training programs have curricula for training on insulin pumps (74%) and CGM (75.3%); 52% of fellows felt curricula are adequate. First- and second-year fellows were more comfortable with CGM than insulin pump use. Only half of third-year fellows felt comfortable with starting insulin pump therapy or recommending insulin dose adjustments based on CGM rate of change arrows. Qualitative interviews identified the importance of both direct instruction and experiential learning in diabetes technology education. CONCLUSIONS Almost half of trainees feel that curricula for learning to use and manage insulin pumps and CGM are inadequate and feel uncomfortable with critical aspects of technology use, demonstrating the need for increased attention to trainee education in the use of diabetes technology. Based on a better understanding of current and preferred methods for instruction, this study provides direction for future development of initiatives to improve fellow education in this field.
Collapse
Affiliation(s)
- Kathryn L. Fantasia
- Section of Endocrinology, Diabetes and Nutrition, Boston Medical Center, Boston, MA, USA
- Boston University School of Medicine, Boston, MA, USA
| | - Lindsay B. Demers
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Devin W. Steenkamp
- Section of Endocrinology, Diabetes and Nutrition, Boston Medical Center, Boston, MA, USA
- Boston University School of Medicine, Boston, MA, USA
| | - Katherine L. Modzelewski
- Section of Endocrinology, Diabetes and Nutrition, Boston Medical Center, Boston, MA, USA
- Boston University School of Medicine, Boston, MA, USA
| |
Collapse
|
90
|
Ampudia-Blasco FJ, Ugarte-Abasolo E, Chico A, García-Alemán J, Galan-Barroso M. Spanish Consensus on the Use of Intermittently Scanned Continuous Glucose Monitoring in the Management of Patients With Insulin Therapy: The MONITOR Project. J Diabetes Sci Technol 2023; 17:1256-1264. [PMID: 35466722 PMCID: PMC10563520 DOI: 10.1177/19322968221087270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Continuous glucose monitoring (CGM) systems are increasingly being adopted as an alternative or adjunct to self-monitoring of blood glucose (SMBG) by patients receiving insulin therapy. However, the available evidence on the role of intermittently scanned CGM or flash CGM (isCGM) remains limited. This consensus aims to evaluate the degree of agreement among Spanish experts on the role of isCGM in the evaluation of glycemic variability, reduction of glycosylated hemoglobin (HbA1c) levels, and selection and adjustment of insulin therapy. METHODS Delphi methodology was used to achieve consensus in two survey rounds. A total of 431 Spanish endocrinologists participated in the first round of a 34-item questionnaire survey on isCGM and 427 participated in the second round. Any disagreement was resolved in round 2. RESULTS Consensus was reached for 32 statements, and four items were ultimately agreed upon SMBG after round 2. There was a high degree of consensus that isCGM helps to evaluate glycemic variability, improves HbA1c levels, and can guide therapeutic changes in type 1 diabetes patients. However, there was no consensus on the routine use of the interquartile range to evaluate glycemic variability or the selection of HbA1c as the main parameter for monitoring glycemic control. CONCLUSIONS Most Spanish experts believe that the isCGM system is appropriate for: (1) identifying glycemic variability and facilitating its management, (2) evaluating hyperglycemia as a complement of HbA1c levels, and (3) guiding therapeutic decisions on insulin selection and dosing. The isCGM system is a useful tool for patients and health care professionals to improve glycemic control in insulin-dependent diabetes.
Collapse
Affiliation(s)
| | | | - Ana Chico
- Department of Endocrinology and Nutrition, Hospital de la Santa Creu i Sant Pau, Barcelona, CIBER-BBN, Spain
| | - Jorge García-Alemán
- Department of Endocrinology and Nutrition, Hospital Clínico Universitario Virgen de la Victoria, Malaga, Spain
| | | |
Collapse
|
91
|
Bellido V, Aguilera E, Cardona-Hernandez R, Diaz-Soto G, González Pérez de Villar N, Picón-César MJ, Ampudia-Blasco FJ. Expert Recommendations for Using Time-in-Range and Other Continuous Glucose Monitoring Metrics to Achieve Patient-Centered Glycemic Control in People With Diabetes. J Diabetes Sci Technol 2023; 17:1326-1336. [PMID: 35470692 PMCID: PMC10563535 DOI: 10.1177/19322968221088601] [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: 11/16/2022]
Abstract
New metrics for assessing glycemic control beyond HbA1c have recently emerged due to the increasing use of continuous glucose monitoring (CGM) in diabetes clinical practice. Among them, time in range (TIR) has appeared as a simple and intuitive metric that correlates inversely with HbA1c and has also been newly linked to the risk of long-term diabetes complications. The International Consensus on Time in Range established a series of target glucose ranges (TIR, time below range and time above range) and recommendations for time spent within these ranges for different diabetes populations. These parameters should be evaluated together with the ambulatory glucose profile (AGP). Using standardized visual reporting may help people with diabetes and healthcare professionals in the evaluation of glucose control in frequent clinical situations. The objective of the present review is to provide practical insights to quick interpretation of patient-centered metrics based on flash glucose monitoring data, as well as showing some visual examples of common clinical situations and giving practical recommendations for their management.
Collapse
Affiliation(s)
- Virginia Bellido
- Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen del Rocío, Sevilla, Spain
| | - Eva Aguilera
- Endocrinology and Nutrition Department, Health Sciences Research Institute and University, Hospital Germans Trias i Pujol, Badalona, Spain
| | | | - Gonzalo Diaz-Soto
- Endocrinology and Nutrition Department, Hospital Clínico Universitario de Valladolid, Valladolid, Spain
- Universidad de Valladolid, Valladolid, Spain
| | | | - María J. Picón-César
- Endocrinology and Nutrition Department, Hospital Universitario Virgen de la Victoria, Málaga, Spain
- Instituto de Investigación Biomédica de Málaga, Málaga, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Francisco Javier Ampudia-Blasco
- Endocrinology and Nutrition Department, Hospital Clínico Universitario de Valencia, Valencia, Spain
- INCLIVA Research Foundation, Valencia, Spain
- CIBERDEM, Madrid, Spain
- Universitat de Valencia, Valencia, Spain
| |
Collapse
|
92
|
Choi JH, Lee KA, Moon JH, Chon S, Kim DJ, Kim HJ, Kim NH, Seo JA, Kim MK, Lim JH, Song Y, Yang YS, Kim JH, Lee YB, Noh J, Hur KY, Park JS, Rhee SY, Kim HJ, Kim HM, Ko JH, Kim NH, Kim CH, Ahn J, Oh TJ, Kim SK, Kim J, Han E, Jin SM, Choi WS, Moon MK. 2023 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association. Diabetes Metab J 2023; 47:575-594. [PMID: 37793979 PMCID: PMC10555541 DOI: 10.4093/dmj.2023.0282] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Accepted: 09/14/2023] [Indexed: 10/06/2023] Open
Abstract
In May 2023, the Committee of Clinical Practice Guidelines of the Korean Diabetes Association published the revised clinical practice guidelines for Korean adults with diabetes and prediabetes. We incorporated the latest clinical research findings through a comprehensive systematic literature review and applied them in a manner suitable for the Korean population. These guidelines are designed for all healthcare providers nationwide, including physicians, diabetes experts, and certified diabetes educators who manage patients with diabetes or individuals at risk of developing diabetes. Based on recent changes in international guidelines and the results of a Korean epidemiological study, the recommended age for diabetes screening has been lowered. In collaboration with the relevant Korean medical societies, recently revised guidelines for managing hypertension and dyslipidemia in patients with diabetes have been incorporated into this guideline. An abridgment containing practical information on patient education and systematic management in the clinic was published separately.
Collapse
Affiliation(s)
- Jong Han Choi
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
| | - Kyung Ae Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jeonbuk National University Hospital, Jeonbuk National University Medical School, Jeonju, Korea
| | - Joon Ho Moon
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Suk Chon
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Korea
| | - Dae Jung Kim
- Department of Endocrinology and Metabolism, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Hyun Jin Kim
- Department of Internal Medicine, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea
| | - Nan Hee Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea
| | - Ji A Seo
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea
| | - Mee Kyoung Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jeong Hyun Lim
- Department of Food Service and Nutrition Care, Seoul National University Hospital, Seoul, Korea
| | - YoonJu Song
- Department of Food Science and Nutrition, The Catholic University of Korea, Bucheon, Korea
| | - Ye Seul Yang
- Department of Internal Medicine, Seoul National University College 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
| | - You-Bin Lee
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Junghyun Noh
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
| | - Kyu Yeon Hur
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jong Suk Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Sang Youl Rhee
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Korea
| | - Hae Jin Kim
- Department of Endocrinology and Metabolism, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Hyun Min Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea
| | - Jung Hae Ko
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea
| | - Nam Hoon Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Chong Hwa Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Sejong General Hospital, Bucheon, Korea
| | - Jeeyun Ahn
- Department of Ophthalmology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Tae Jung Oh
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Soo-Kyung Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea
| | - Jaehyun Kim
- Department of Pediatrics, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Eugene Han
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Sang-Man Jin
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Won Suk Choi
- Division of Infectious Diseases, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea
| | - Min Kyong Moon
- Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Committee of Clinical Practice Guidelines
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jeonbuk National University Hospital, Jeonbuk National University Medical School, Jeonju, Korea
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Korea
- Department of Endocrinology and Metabolism, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
- Department of Internal Medicine, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
- Department of Food Service and Nutrition Care, Seoul National University Hospital, Seoul, Korea
- Department of Food Science and Nutrition, The Catholic University of Korea, Bucheon, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Sejong General Hospital, Bucheon, Korea
- Department of Ophthalmology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea
- Department of Pediatrics, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
- Division of Infectious Diseases, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea
- Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Korean Diabetes Association
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jeonbuk National University Hospital, Jeonbuk National University Medical School, Jeonju, Korea
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Korea
- Department of Endocrinology and Metabolism, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
- Department of Internal Medicine, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
- Department of Food Service and Nutrition Care, Seoul National University Hospital, Seoul, Korea
- Department of Food Science and Nutrition, The Catholic University of Korea, Bucheon, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Sejong General Hospital, Bucheon, Korea
- Department of Ophthalmology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea
- Department of Pediatrics, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
- Division of Infectious Diseases, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea
- Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| |
Collapse
|
93
|
García Almeida JM, Vegas Aguilar IM, Calleja Fernández A, Porca Fernández C, Casañas Quintana T, Tejera Pérez C, Tinahones Madueño FJ, Bellido Guerrero D. Glycaemic and insulinaemic impact of a diabetes-specific oral nutritional supplement with extra-virgin olive oil in patients with type 2 diabetes mellitus at nutritional risk: a randomized, double-blind, crossover, multicentre clinical trial (DIACARE). NUTR HOSP 2023; 40:692-700. [PMID: 37409714 DOI: 10.20960/nh.04577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/07/2023] Open
Abstract
Introduction Introduction: there is controversy about the usefulness of specific enteral nutrition formulas in malnourished patients with diabetes. The effects on blood glucose and other aspects of metabolic control are not fully understood in the scientific literature. Objective: the aim of the study was to compare the glycaemic and insulinaemic response of patients with type 2 diabetes at risk of malnutrition after oral feed between a diabetes-specific formula with AOVE (DSF) and a standard one (STF). Methods: A randomized, double-blind, crossover, multicentre clinical trial was conducted in patients with type 2 diabetes at risk of malnutrition (SGA). The patients were randomized to receive either DSF or STF, a week apart. A glycaemia and insulinaemia curve was made at times 0 minutes, 30 min, 60 min, 90 min, 120 min, and 180 min after the patients drank 200 ml of the oral nutritional supplement (ONS). The principal variables were the area under the curve (AUC0-t) of glucose and insulin. Results: 29 patients (51 % women) were included, who were on average 68.84 (SD 11.37) years old. Regarding the degree of malnutrition, 86.2 % presented moderate malnutrition (B) and 13.8 % severe (C). When the patients received the DSF, they had a lower mean of glucose AUC0-t (-3,325.34 mg/min/dl [95 % CI: -4,3608.34 to -2,290.07]; p = 0.016) and also a lower mean of insulin AUC0-t (-451.14 uU/min/ml [95 % CI: -875,10 to -27.17]; p = 0.038). There were no differences in the degree of malnutrition. Conclusion: compared with STF, DSF with AOVE showed a better glycaemic and insulinaemic response in patients with type 2 diabetes at risk of malnutrition.
Collapse
Affiliation(s)
| | | | | | | | | | - Cristina Tejera Pérez
- Servicio de Endocrinología y Nutrición. Complejo Hospitalario Universitario de Ferrol
| | | | | |
Collapse
|
94
|
Mayberry LS, Guy C, Hendrickson CD, McCoy AB, Elasy T. Rates and Correlates of Uptake of Continuous Glucose Monitors Among Adults with Type 2 Diabetes in Primary Care and Endocrinology Settings. J Gen Intern Med 2023; 38:2546-2552. [PMID: 37254011 PMCID: PMC10228889 DOI: 10.1007/s11606-023-08222-3] [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] [Received: 10/05/2022] [Accepted: 04/28/2023] [Indexed: 06/01/2023]
Abstract
BACKGROUND Clinical trials indicate continuous glucose monitor (CGM) use may benefit adults with type 2 diabetes, but CGM rates and correlates in real-world care settings are unknown. OBJECTIVE We sought to ascertain prevalence and correlates of CGM use and to examine rates of new CGM prescriptions across clinic types and medication regimens. DESIGN Retrospective cohort using electronic health records in a large academic medical center in the Southeastern US. PARTICIPANTS Adults with type 2 diabetes and a primary care or endocrinology visit during 2021. MAIN MEASURES Age, gender, race, ethnicity, insurance, clinic type, insulin regimen, hemoglobin A1c values, CGM prescriptions, and prescribing clinic type. KEY RESULTS Among 30,585 adults with type 2 diabetes, 13% had used a CGM. CGM users were younger and more had private health insurance (p < .05) as compared to non-users; 72% of CGM users had an intensive insulin regimen, but 12% were not taking insulin. CGM users had higher hemoglobin A1c values (both most recent and most proximal to the first CGM prescription) than non-users. CGM users were more likely to receive endocrinology care than non-users, but 23% had only primary care visits in 2021. For each month in 2021, a mean of 90.5 (SD 12.5) people started using CGM. From 2020 to 2021, monthly rates of CGM prescriptions to new users grew 36% overall, but 125% in primary care. Most starting CGM in endocrinology had an intensive insulin regimen (82% vs. 49% starting in primary care), whereas 28% starting CGM in primary care were not using insulin (vs. 5% in endocrinology). CONCLUSION CGM uptake for type 2 diabetes is increasing rapidly, with most growth in primary care. These trends present opportunities for healthcare system adaptations to support CGM use and related workflows in primary care to support growth in uptake.
Collapse
Affiliation(s)
- Lindsay S Mayberry
- Division of General Internal Medicine and Public Health, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Charmin Guy
- School of Medicine, University of Mississippi, Jackson, MS, USA
| | - Chase D Hendrickson
- Division of Diabetes, Endocrinology, and Metabolism, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Allison B McCoy
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Tom Elasy
- Division of General Internal Medicine and Public Health, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, USA
| |
Collapse
|
95
|
Chkroun C, Trouwborst I, Cherta-Murillo A, Owen L, Darimont C, Rytz A. Defining a Continuous Glucose Baseline to assess the impact of nutritional interventions. Front Nutr 2023; 10:1203899. [PMID: 37588050 PMCID: PMC10425768 DOI: 10.3389/fnut.2023.1203899] [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: 04/11/2023] [Accepted: 07/17/2023] [Indexed: 08/18/2023] Open
Abstract
Accurate and robust estimation of individuals' basal glucose level is a crucial measure in nutrition research but is typically estimated from one or more morning fasting samples. The use of Continuous Glucose Monitoring (CGM) devices presents an opportunity to define more robust basal glucose levels, which estimates can be generalized to any time of the day. However, to date, no standardized method has been delineated. The current paper seeks to define a reliable algorithm to characterize the individual's basal glucose level over 24 h from CGM measurements. Data drawn from four nutritional intervention studies performed on adults free from chronic diseases were used to define that basal glucose levels were optimally estimated using the 40th percentile of the previous 24 h CGM data. This simple algorithm provides a Continuous Glucose Baseline over 24 h (24 h-CGB) that is an unbiased and highly correlated estimator (r = 0.86, p-value < 0.01) of standard fasting glucose. We conclude that 24-CGB can provide reliable basal glucose estimates across the day while being more robust to interference than standard fasting glucose, adaptable to evolving daily routines and providing useful reference values for free-living nutritional intervention research in non-diabetic individuals.
Collapse
Affiliation(s)
- Célina Chkroun
- Clinical Research Unit, Nestlé Research, Lausanne, Switzerland
| | - Inez Trouwborst
- Metabolic Health Department, Nestlé Institute of Health Sciences, Nestlé Research, Lausanne, Switzerland
| | - Anna Cherta-Murillo
- Metabolic Health Department, Nestlé Institute of Health Sciences, Nestlé Research, Lausanne, Switzerland
| | - Lauren Owen
- Brain Health Department, Nestlé Institute of Health Sciences, Nestlé Research, Lausanne, Switzerland
| | - Christian Darimont
- Metabolic Health Department, Nestlé Institute of Health Sciences, Nestlé Research, Lausanne, Switzerland
| | - Andreas Rytz
- Clinical Research Unit, Nestlé Research, Lausanne, Switzerland
| |
Collapse
|
96
|
Elian V, Popovici V, Ozon EA, Musuc AM, Fița AC, Rusu E, Radulian G, Lupuliasa D. Current Technologies for Managing Type 1 Diabetes Mellitus and Their Impact on Quality of Life-A Narrative Review. Life (Basel) 2023; 13:1663. [PMID: 37629520 PMCID: PMC10456000 DOI: 10.3390/life13081663] [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: 05/31/2023] [Revised: 07/27/2023] [Accepted: 07/28/2023] [Indexed: 08/27/2023] Open
Abstract
Type 1 diabetes mellitus is a chronic autoimmune disease that affects millions of people and generates high healthcare costs due to frequent complications when inappropriately managed. Our paper aimed to review the latest technologies used in T1DM management for better glycemic control and their impact on daily life for people with diabetes. Continuous glucose monitoring systems provide a better understanding of daily glycemic variations for children and adults and can be easily used. These systems diminish diabetes distress and improve diabetes control by decreasing hypoglycemia. Continuous subcutaneous insulin infusions have proven their benefits in selected patients. There is a tendency to use more complex systems, such as hybrid closed-loop systems that can modulate insulin infusion based on glycemic readings and artificial intelligence-based algorithms. It can help people manage the burdens associated with T1DM management, such as fear of hypoglycemia, exercising, and long-term complications. The future is promising and aims to develop more complex ways of automated control of glycemic levels to diminish the distress of individuals living with diabetes.
Collapse
Affiliation(s)
- Viviana Elian
- Department of Diabetes, Nutrition and Metabolic Diseases, “Carol Davila” University of Medicine and Pharmacy, 8 Eroii Sanitari Blvd., 050471 Bucharest, Romania; (V.E.); (E.R.); (G.R.)
- Department of Diabetes, Nutrition and Metabolic Diseases, “Prof. Dr. N. C. Paulescu” National Institute of Diabetes, Nutrition and Metabolic Diseases, 030167 Bucharest, Romania
| | - Violeta Popovici
- Department of Microbiology and Immunology, Faculty of Dental Medicine, Ovidius University of Constanta, 7 Ilarie Voronca Street, 900684 Constanta, Romania
| | - Emma-Adriana Ozon
- Department of Pharmaceutical Technology and Biopharmacy, Faculty of Pharmacy, “Carol Davila” University of Medicine and Pharmacy, 6 Traian Vuia Street, 020945 Bucharest, Romania; (A.C.F.); (D.L.)
| | - Adina Magdalena Musuc
- Romanian Academy, “Ilie Murgulescu” Institute of Physical Chemistry, 202 Spl. Independentei, 060021 Bucharest, Romania;
| | - Ancuța Cătălina Fița
- Department of Pharmaceutical Technology and Biopharmacy, Faculty of Pharmacy, “Carol Davila” University of Medicine and Pharmacy, 6 Traian Vuia Street, 020945 Bucharest, Romania; (A.C.F.); (D.L.)
| | - Emilia Rusu
- Department of Diabetes, Nutrition and Metabolic Diseases, “Carol Davila” University of Medicine and Pharmacy, 8 Eroii Sanitari Blvd., 050471 Bucharest, Romania; (V.E.); (E.R.); (G.R.)
- Department of Diabetes, N. Malaxa Clinical Hospital, 12 Vergului Street, 022441 Bucharest, Romania
| | - Gabriela Radulian
- Department of Diabetes, Nutrition and Metabolic Diseases, “Carol Davila” University of Medicine and Pharmacy, 8 Eroii Sanitari Blvd., 050471 Bucharest, Romania; (V.E.); (E.R.); (G.R.)
- Department of Diabetes, Nutrition and Metabolic Diseases, “Prof. Dr. N. C. Paulescu” National Institute of Diabetes, Nutrition and Metabolic Diseases, 030167 Bucharest, Romania
| | - Dumitru Lupuliasa
- Department of Pharmaceutical Technology and Biopharmacy, Faculty of Pharmacy, “Carol Davila” University of Medicine and Pharmacy, 6 Traian Vuia Street, 020945 Bucharest, Romania; (A.C.F.); (D.L.)
| |
Collapse
|
97
|
Sacks DB, Arnold M, Bakris GL, Bruns DE, Horvath AR, Lernmark Å, Metzger BE, Nathan DM, Kirkman MS. Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus. Clin Chem 2023:hvad080. [PMID: 37473453 DOI: 10.1093/clinchem/hvad080] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 05/12/2023] [Indexed: 07/22/2023]
Abstract
BACKGROUND Numerous laboratory tests are used in the diagnosis and management of diabetes mellitus. The quality of the scientific evidence supporting the use of these assays varies substantially. APPROACH An expert committee compiled evidence-based recommendations for laboratory analysis in screening, diagnosis, or monitoring of diabetes. The overall quality of the evidence and the strength of the recommendations were evaluated. The draft consensus recommendations were evaluated by invited reviewers and presented for public comment. Suggestions were incorporated as deemed appropriate by the authors (see Acknowledgments). The guidelines were reviewed by the Evidence Based Laboratory Medicine Committee and the Board of Directors of the American Association of Clinical Chemistry and by the Professional Practice Committee of the American Diabetes Association. CONTENT Diabetes can be diagnosed by demonstrating increased concentrations of glucose in venous plasma or increased hemoglobin A1c (Hb A1c) in the blood. Glycemic control is monitored by the people with diabetes measuring their own blood glucose with meters and/or with continuous interstitial glucose monitoring (CGM) devices and also by laboratory analysis of Hb A1c. The potential roles of noninvasive glucose monitoring, genetic testing, and measurement of ketones, autoantibodies, urine albumin, insulin, proinsulin, and C-peptide are addressed. SUMMARY The guidelines provide specific recommendations based on published data or derived from expert consensus. Several analytes are found to have minimal clinical value at the present time, and measurement of them is not recommended.
Collapse
Affiliation(s)
- David B Sacks
- Department of Laboratory Medicine, National Institutes of Health, Bethesda, MD, United States
| | - Mark Arnold
- Department of Chemistry, University of Iowa, Iowa City, IA, United States
| | - George L Bakris
- Department of Medicine, American Heart Association Comprehensive Hypertension Center, Section of Endocrinology, Diabetes and Metabolism, University of Chicago Medicine, Chicago, ILUnited States
| | - David E Bruns
- Department of Pathology, University of Virginia Medical School, Charlottesville, VA, United States
| | - Andrea R Horvath
- New South Wales Health Pathology Department of Chemical Pathology, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Åke Lernmark
- Department of Clinical Sciences, Lund University/CRC, Skane University Hospital Malmö, Malmö, Sweden
| | - Boyd E Metzger
- Division of Endocrinology, Northwestern University, The Feinberg School of Medicine, Chicago, IL, United States
| | - David M Nathan
- Massachusetts General Hospital Diabetes Center and Harvard Medical School, Boston, MA, United States
| | - M Sue Kirkman
- Department of Medicine, University of North Carolina, Chapel Hill, NC, United States
| |
Collapse
|
98
|
Wilkie G, Melnik V, Brainard L, Antonioli S, Baltich Nelson B, Leung K, Leftwich H. Continuous glucose monitor use in type 2 diabetes mellitus in pregnancy and perinatal outcomes: a systematic review and meta-analysis. Am J Obstet Gynecol MFM 2023; 5:100969. [PMID: 37061044 DOI: 10.1016/j.ajogmf.2023.100969] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 04/03/2023] [Accepted: 04/09/2023] [Indexed: 04/17/2023]
Abstract
OBJECTIVE This study aimed to assess whether continuous glucose monitor use in type 2 diabetes mellitus in pregnancy is associated with improved perinatal outcomes. DATA SOURCES We searched Ovid MEDLINE, Scopus, ClinicalTrials.gov, and Cochrane library from inception through May 9, 2022. STUDY ELIGIBILITY CRITERIA We included all studies that compared continuous glucose monitor use with fingerstick glucose monitoring in women with type 2 diabetes mellitus. METHODS The initial search yielded 2463 unique citations that were screened in Covidence by 2 independent reviewers. Study types included randomized controlled trials, cohort studies, and cross-sectional studies. Our outcomes of interest were macrosomia or large-for-gestational-age infants, hemoglobin A1c, cesarean delivery, hypertensive disorders of pregnancy including preeclampsia, gestational age at delivery, and neonatal hypoglycemia. RESULTS Three randomized controlled trials met the inclusion criteria. We performed random-effects meta-analyses of estimates from 2 studies without risk of significant bias and reported summary adjusted odds ratios and 95% confidence intervals. Meta-analysis of 56 women with continuous glucose monitor use and 53 control women without continuous glucose monitor use showed that there was no difference in the incidence of large-for-gestational-age infants between continuous glucose monitor users and standard-of-care controls (odds ratio, 0.78; 95% confidence interval, 0.34-1.78) with an I2 of 0%. In addition, there was no difference in the development of preeclampsia between continuous glucose monitor users and standard-of-care controls (odds ratio, 1.63; 95% confidence interval, 0.34-7.22) with an I2 of 0%. CONCLUSION Continuous glucose monitor use was not associated with improved perinatal outcomes as assessed by large-for-gestational-age infants and preeclampsia. This review is limited by the small amount of data available for this population, and further research is needed.
Collapse
Affiliation(s)
- Gianna Wilkie
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Massachusetts Chan Medical School, Worcester, MA (Dr Wilkie, Ms Leung, and Dr Leftwich).
| | - Veronika Melnik
- University of Massachusetts Chan Medical School, Worcester, MA (Ms. Melnik, Ms. Brainard, Ms. Antonioli, and Ms. Nelson)
| | - Lydia Brainard
- University of Massachusetts Chan Medical School, Worcester, MA (Ms. Melnik, Ms. Brainard, Ms. Antonioli, and Ms. Nelson)
| | - Sophia Antonioli
- University of Massachusetts Chan Medical School, Worcester, MA (Ms. Melnik, Ms. Brainard, Ms. Antonioli, and Ms. Nelson)
| | - Becky Baltich Nelson
- University of Massachusetts Chan Medical School, Worcester, MA (Ms. Melnik, Ms. Brainard, Ms. Antonioli, and Ms. Nelson)
| | - Katherine Leung
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Massachusetts Chan Medical School, Worcester, MA (Dr Wilkie, Ms Leung, and Dr Leftwich)
| | - Heidi Leftwich
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Massachusetts Chan Medical School, Worcester, MA (Dr Wilkie, Ms Leung, and Dr Leftwich)
| |
Collapse
|
99
|
Diamond K. Improving glucose control in patients with type 2 diabetes using retrospective continuous glucose monitoring. J Am Assoc Nurse Pract 2023; 35:425-433. [PMID: 36735841 DOI: 10.1097/jxx.0000000000000831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 12/08/2022] [Indexed: 02/05/2023]
Abstract
BACKGROUND The prevalence and cost of type 2 diabetes mellitus (T2DM) is rising. Diabetes care should be individualized based on patient risk factors and goals. Professional continuous glucose monitoring (CGM) is a tool for primary care providers to assist patients with diabetes management. LOCAL PROBLEM Nurse practitioners at an outpatient primary care practice began using CGM in patients with T2DM in 2019 to guide treatment due to the high number of patients not reaching glucose targets. There was no policy in place to guide patient selection for CGM. METHODS This quality improvement (QI) project, conducted in an outpatient primary care clinic, evaluated the effect of retrospective CGM use in patients with T2DM through a retrospective chart review to create a policy for use. INTERVENTIONS Hemoglobin A1c (HbA1c) measurements pre-CGM and post-CGM use were compared. CGM reports were evaluated for the presence of hypoglycemia. Additionally, number of times a patient used CGM between HbA1c laboratory examinations as well as insulin status were determined by reviewing the electronic health record. RESULTS Patients using CGM for HbA1c higher than goal (n = 60) noted a 1.01% decrease in HbA1c ( p < .01). The decrease was similar regardless of exogenous insulin status. Hypoglycemia was detected in 54.3% of patients (n = 44), including 45% (n = 27) of those with elevated HbA1c levels. CONCLUSIONS Retrospective CGM is a cost-effective tool to individualize management of patients with T2DM in primary care. A policy was created to guide CGM use in patients not reaching glucose goals and those with concern for hypoglycemia.
Collapse
|
100
|
Garden GL, Shojaee-Moradie F, Hutchison E, Frier BM, Shaw K, Heller S, Koehler G, Mader JK, Maher D, Roberts G, Russell-Jones D. CONTINUOUS GLUCOSE MONITORING BY INSULIN-TREATED PILOTS FLYING COMMERCIAL AIRCRAFT WITHIN THE ARA.MED.330 DIABETES PROTOCOL: A PRELIMINARY FEASIBILITY STUDY. Diabetes Technol Ther 2023. [PMID: 37384853 DOI: 10.1089/dia.2023.0069] [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: 07/01/2023]
Abstract
BACKGROUND AND AIMS A preliminary study compared the use of continuous glucose monitoring (CGM) to self-monitoring blood glucose (SMBG) by pilots with insulin-treated diabetes in the UK, Ireland, and Austria, certified to fly commercial aircraft within the European Aviation Safety Agency ARA.MED.330 protocol. METHODS SMBG and simultaneous interstitial glucose measurements using CGM (Dexcom G6®) were recorded during pre- and in-flight periods. RESULTS Eight male pilots (seven with type 1 diabetes; one with type 3c diabetes), median age of 48.5 years and median diabetes duration of 11.5 years, participated. The correlation coefficient (R) between 874 contemporaneously recorded SMBG and CGM values was 0.843, p<0.001. The mean glucose concentrations was 8.78 mmol/L (SD 0.67) using SMBG compared to 8.71 mmol/L (SD 0.85) recorded using CGM. The Mean Absolute Relative difference (MARD) was 9.39% (SD 3.12). CONCLUSIONS CGM using Dexcom G6® systems is a credible alternative to SMBG for monitoring glucose levels when insulin-treated pilots fly commercial aircraft.
Collapse
Affiliation(s)
- Gillian Leigh Garden
- University of Surrey Faculty of Health and Medical Sciences, 105648, Faculty of Health and medical Sciences, 30 Priestley Road, Guildford, United Kingdom of Great Britain and Northern Ireland, GU2 7YH
- Royal Surrey County Hospital NHS Foundation Trust, 3661, CEDAR, CEDAR, Egerton Road, Guildford, United Kingdom of Great Britain and Northern Ireland, GU2 7XX;
| | - Fariba Shojaee-Moradie
- University of Surrey Faculty of Health and Medical Sciences, 105648, Faculty of Health and medical Sciences, Guildford, United Kingdom of Great Britain and Northern Ireland;
| | - Ewan Hutchison
- UK Civil Aviation Authority, 11393, London, London, United Kingdom of Great Britain and Northern Ireland;
| | - Brian Murray Frier
- Royal Infirmary of Edinburgh, Department of Diabetes, Edinburgh, United Kingdom of Great Britain and Northern Ireland
- University of Edinburgh, MRC Centre for Cognitive Ageing & Cognitive Epidemiology, Department of Psychology, Edinburgh, United Kingdom of Great Britain and Northern Ireland;
| | - Kenneth Shaw
- University of Portsmouth Faculty of Science and Health, 200435, Portsmouth, United Kingdom of Great Britain and Northern Ireland;
| | - Simon Heller
- The University of Sheffield Faculty of Medicine Dentistry and Health, 152607, Sheffield, Sheffield, United Kingdom of Great Britain and Northern Ireland;
| | - Gerd Koehler
- Austro Control GmbH, 586706, Wien, Wien, Austria
- University of Graz Faculty of Natural Sciences, 64839, Graz, Steiermark, Austria;
| | - Julia K Mader
- Medical University of Graz, Internal Medicine / Endocrinology and Metabolism, Auenbruggerplatz 15, Graz, Austria, 8036;
| | - Declan Maher
- Irish Aviation Authority, 82842, Dublin, Ireland;
| | - Graham Roberts
- Irish Aviation Authority, 82842, Dublin, Ireland
- University College Cork College of Medicine and Health, 37437, Cork, Ireland
- Swansea University Faculty of Medicine Health and Life Science, 639919, Swansea, United Kingdom of Great Britain and Northern Ireland;
| | - David Russell-Jones
- University of Surrey Faculty of Health and Medical Sciences, 105648, Faculty of Health and medical Sciences, Guildford, United Kingdom of Great Britain and Northern Ireland
- Royal Surrey County Hospital NHS Foundation Trust, 3661, CEDAR, Guildford, United Kingdom of Great Britain and Northern Ireland;
| |
Collapse
|