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Ajjan RA, Battelino T, Cos X, Del Prato S, Philips JC, Meyer L, Seufert J, Seidu S. Continuous glucose monitoring for the routine care of type 2 diabetes mellitus. Nat Rev Endocrinol 2024; 20:426-440. [PMID: 38589493 DOI: 10.1038/s41574-024-00973-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/29/2024] [Indexed: 04/10/2024]
Abstract
Although continuous glucose monitoring (CGM) devices are now considered the standard of care for people with type 1 diabetes mellitus, the uptake among people with type 2 diabetes mellitus (T2DM) has been slower and is focused on those receiving intensive insulin therapy. However, increasing evidence now supports the inclusion of CGM in the routine care of people with T2DM who are on basal insulin-only regimens or are managed with other medications. Expanding CGM to these groups could minimize hypoglycaemia while allowing efficient adaptation and escalation of therapies. Increasing evidence from randomized controlled trials and observational studies indicates that CGM is of clinical value in people with T2DM on non-intensive treatment regimens. If further studies confirm this finding, CGM could soon become a part of routine care for T2DM. In this Perspective we explore the potential benefits of widening the application of CGM in T2DM, along with the challenges that must be overcome for the evidence-based benefits of this technology to be delivered for all people with T2DM.
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Affiliation(s)
- Ramzi A Ajjan
- The LIGHT Laboratories, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Tadej Battelino
- Faculty of Medicine, University of Ljubljana Medical Centre, Ljubljana, Slovenia
| | - Xavier Cos
- DAP Cat Research Group, Foundation University Institute for Primary Health Care Research Jordi Gol i Gorina, Barcelona, Spain
| | - Stefano Del Prato
- Section of Diabetes and Metabolic Diseases, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | | | - Laurent Meyer
- Department of Endocrinology, Diabetes and Nutrition, University Hospital, Strasbourg, France
| | - Jochen Seufert
- Division of Endocrinology and Diabetology, Department of Medicine II, Medical Centre, University of Freiburg, Freiburg, Germany
| | - Samuel Seidu
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK.
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2
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Liarakos AL, Lim JZM, Leelarathna L, Wilmot EG. The use of technology in type 2 diabetes and prediabetes: a narrative review. Diabetologia 2024:10.1007/s00125-024-06203-7. [PMID: 38951212 DOI: 10.1007/s00125-024-06203-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Accepted: 05/09/2024] [Indexed: 07/03/2024]
Abstract
The increasing incidence of type 2 diabetes, which represents 90% of diabetes cases globally, is a major public health concern. Improved glucose management reduces the risk of vascular complications and mortality; however, only a small proportion of the type 2 diabetes population have blood glucose levels within the recommended treatment targets. In recent years, diabetes technologies have revolutionised the care of people with type 1 diabetes, and it is becoming increasingly evident that people with type 2 diabetes can also benefit from these advances. In this review, we describe the current knowledge regarding the role of technologies for people living with type 2 diabetes and the evidence supporting their use in clinical practice. We conclude that continuous glucose monitoring systems deliver glycaemic benefits for individuals with type 2 diabetes, whether treated with insulin or non-insulin therapy; further data are required to evaluate the role of these systems in those with prediabetes (defined as impaired glucose tolerance and/or impaired fasting glucose and/or HbA1c levels between 39 mmol/mol [5.7%] and 47 mmol/mol [6.4%]). The use of insulin pumps seems to be safe and effective in people with type 2 diabetes, especially in those with an HbA1c significantly above target. Initial results from studies exploring the impact of closed-loop systems in type 2 diabetes are promising. We discuss directions for future research to fully understand the potential benefits of integrating evidence-based technology into care for people living with type 2 diabetes and prediabetes.
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Affiliation(s)
- Alexandros L Liarakos
- Department of Diabetes and Endocrinology, University Hospitals of Derby and Burton NHS Foundation Trust, Royal Derby Hospital, Derby, UK
- School of Medicine, Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK
| | - Jonathan Z M Lim
- Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester Royal Infirmary, Manchester, UK
| | - Lalantha Leelarathna
- Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester Royal Infirmary, Manchester, UK
- Department of Diabetes, Imperial College Healthcare NHS Trust, London, UK
- Faculty of Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Emma G Wilmot
- Department of Diabetes and Endocrinology, University Hospitals of Derby and Burton NHS Foundation Trust, Royal Derby Hospital, Derby, UK.
- School of Medicine, Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK.
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3
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Lazar D, Tao M, Matievich W, Kastanos K, Dunn TC. Accuracy and Functionality of Select Continuous Glucose Monitoring Systems Are Not Impacted by Implantable Cardioverter Defibrillator Devices. J Diabetes Sci Technol 2024:19322968241260038. [PMID: 38907649 DOI: 10.1177/19322968241260038] [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: 06/24/2024]
Abstract
BACKGROUND Increasing numbers of individuals with diabetes are adopting use of continuous glucose monitoring (CGM) in their daily self-management. Many of these individuals have advanced heart disease. Implantable cardioverter defibrillator (ICD) devices can effectively reduce arrhythmic death and all-cause mortality in individuals with advanced heart disease. However, the potential impact of ICD devices on CGM system accuracy and functionality has not been well studied. METHODS This evaluation assessed whether FreeStyle Libre (FL) CGM systems can coexist and function within the same patient in the presence of wireless interference devices, including current ICD devices. Interferer sources included Wi-Fi devices, Bluetooth devices, cellular mobile devices, implantable medical devices, Bluetooth Low-Energy (BLE) devices, BLE accessory devices and BLE mobile devices, and ICD-programmer interferers. Five testing methodologies were used to evaluate the accuracy and functionality of the CGM systems when exposed to ICD functions: high-energy emergency shocking, pacing modes, anti-tachycardia pacing mode (ATP), and DC Fibber mode. RESULTS All acceptance criteria and testing requirements were met for the CGM and ICD system for wireless coexistence evaluation. CONCLUSIONS Our findings demonstrated that coexisting ICD devices and FL CGM systems provide safe and effective wireless communications with functional and accurate transfer of data during scenarios expected in clinical use.
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Affiliation(s)
- Dylan Lazar
- Cardiac Rhythm Management, Abbott, Sylmar, CA, USA
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Rama Chandran S, Rahman N, Gandhi M, Tan NC, Phoon IKY, Seah DEJ, Cheah MH, Sek K, Gardner DSL. Intermittently scanned continuous glucose monitoring provides no benefit over structured self-monitoring of blood glucose in type 2 diabetes not on prandial insulin, in the context of diabetes self-management education: GLucose monitoring programme SingaporE (GLiMPSE). Diabetes Res Clin Pract 2024; 211:111678. [PMID: 38642860 DOI: 10.1016/j.diabres.2024.111678] [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: 02/29/2024] [Revised: 04/16/2024] [Accepted: 04/16/2024] [Indexed: 04/22/2024]
Abstract
OBJECTIVE We evaluated the impact of intermittently scanned continuous glucose monitoring(is-CGM)over self-monitoring of blood glucose(SMBG) in the context of diabetes self-management education (DSME) in sub-optimally controlled type 2 diabetes(T2D) in a multi-ethnicsetting. RESEARCH DESIGN AND METHOD Randomized-controlled, open-label trial (NCT04564911), of T2D with HbA1c ≥ 7.5-≤10 %, on oral agents with/without basal insulin was carried out. Intervention arm received 6 weeks(w) continuous is-CGM, followed by one is-CGM/month till 24w. Control arm was advised to perform 4 SMBG/day. Educationwas delivered at weeks 0, 2, 8, 16. PRIMARY OUTCOME Change in HbA1c from baseline at 24w. Modified intention-to-treat (mITT) analysis with linear mixed-effect model for repeated measurementswas performed. RESULTS 176 subjects, age 55 ± 10.7 years(y), DM duration 11 ± 7.3y, BMI 27.8 ± 5.9 kg/m2, 58 % Male, 29.5 % basal insulin users were analysed. Within each arm,from baseline to 24w, mean HbA1c decreasedby -0.6 % (-6.6.mmol/mol, p-value < 0.01)and weight decreased(isCGM: -1.44 kg; SMBG: -1.25 kg, both p < 0.01). These changes were sustained to one year. However, there wasno significant difference in these parameters between arms (p-value > 0.05). CONCLUSION In the context of DSME, use of either SMBG or is-CGM led to improved glycaemia and reduced weight over a period of 24 weeks, sustained to one year.
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Affiliation(s)
- Suresh Rama Chandran
- Department of Endocrinology, Singapore General Hospital, Singapore; Duke-NUS Medical School, Singapore
| | - Nabilah Rahman
- Singapore Clinical Research Institute, Biostatistics, Singapore; National University of Singapore and National University Health System, Saw Swee Hock School of Public Health, Singapore
| | - Mihir Gandhi
- Duke-NUS Medical School, Singapore; Singapore Clinical Research Institute, Biostatistics, Singapore
| | | | | | | | | | - Kathleen Sek
- Department of Endocrinology, National University Health System, Singapore
| | - Daphne Su-Lyn Gardner
- Department of Endocrinology, Singapore General Hospital, Singapore; Duke-NUS Medical School, Singapore.
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5
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Jancev M, Vissers TACM, Visseren FLJ, van Bon AC, Serné EH, DeVries JH, de Valk HW, van Sloten TT. Continuous glucose monitoring in adults with type 2 diabetes: a systematic review and meta-analysis. Diabetologia 2024; 67:798-810. [PMID: 38363342 PMCID: PMC10954850 DOI: 10.1007/s00125-024-06107-6] [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: 11/03/2023] [Accepted: 01/12/2024] [Indexed: 02/17/2024]
Abstract
AIMS/HYPOTHESIS Continuous glucose monitoring (CGM) is increasingly used in the treatment of type 2 diabetes, but the effects on glycaemic control are unclear. The aim of this systematic review and meta-analysis is to provide a comprehensive overview of the effect of CGM on glycaemic control in adults with type 2 diabetes. METHODS We performed a systematic review using Embase, MEDLINE, Web of Science, Scopus and ClinicalTrials.gov from inception until 2 May 2023. We included RCTs investigating real-time CGM (rtCGM) or intermittently scanned CGM (isCGM) compared with self-monitoring of blood glucose (SMBG) in adults with type 2 diabetes. Studies with an intervention duration <6 weeks or investigating professional CGM, a combination of CGM and additional glucose-lowering treatment strategies or GlucoWatch were not eligible. Change in HbA1c and the CGM metrics time in range (TIR), time below range (TBR), time above range (TAR) and glycaemic variability were extracted. We evaluated the risk of bias using the Cochrane risk-of-bias tool version 2. Data were synthesised by performing a meta-analysis. We also explored the effects of CGM on severe hypoglycaemia and micro- and macrovascular complications. RESULTS We found 12 RCTs comprising 1248 participants, with eight investigating rtCGM and four isCGM. Compared with SMBG, CGM use (rtCGM or isCGM) led to a mean difference (MD) in HbA1c of -3.43 mmol/mol (-0.31%; 95% CI -4.75, -2.11, p<0.00001, I2=15%; moderate certainty). This effect was comparable in studies that included individuals using insulin with or without oral agents (MD -3.27 mmol/mol [-0.30%]; 95% CI -6.22, -0.31, p=0.03, I2=55%), and individuals using oral agents only (MD -3.22 mmol/mol [-0.29%]; 95% CI -5.39, -1.05, p=0.004, I2=0%). Use of rtCGM showed a trend towards a larger effect (MD -3.95 mmol/mol [-0.36%]; 95% CI -5.46 to -2.44, p<0.00001, I2=0%) than use of isCGM (MD -1.79 mmol/mol [-0.16%]; 95% CI -5.28, 1.69, p=0.31, I2=64%). CGM was also associated with an increase in TIR (+6.36%; 95% CI +2.48, +10.24, p=0.001, I2=9%) and a decrease in TBR (-0.66%; 95% CI -1.21, -0.12, p=0.02, I2=45%), TAR (-5.86%; 95% CI -10.88, -0.84, p=0.02, I2=37%) and glycaemic variability (-1.47%; 95% CI -2.94, -0.01, p=0.05, I2=0%). Three studies reported one or more events of severe hypoglycaemia and macrovascular complications. In comparison with SMBG, CGM use led to a non-statistically significant difference in the incidence of severe hypoglycaemia (RR 0.66, 95% CI 0.15, 3.00, p=0.57, I2=0%) and macrovascular complications (RR 1.54, 95% CI 0.42, 5.72, p=0.52, I2=29%). No trials reported data on microvascular complications. CONCLUSIONS/INTERPRETATION CGM use compared with SMBG is associated with improvements in glycaemic control in adults with type 2 diabetes. However, all studies were open label. In addition, outcome data on incident severe hypoglycaemia and incident microvascular and macrovascular complications were scarce. REGISTRATION This systematic review was registered on PROSPERO (ID CRD42023418005).
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Affiliation(s)
- Milena Jancev
- Department of Vascular Medicine and Endocrinology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Tessa A C M Vissers
- Department of Vascular Medicine and Endocrinology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Frank L J Visseren
- Department of Vascular Medicine and Endocrinology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Arianne C van Bon
- Department of Internal Medicine, Rijnstate Hospital, Arnhem, the Netherlands
| | - Erik H Serné
- Department of Internal Medicine, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - J Hans DeVries
- Department of Internal Medicine, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Harold W de Valk
- Department of Vascular Medicine and Endocrinology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Thomas T van Sloten
- Department of Vascular Medicine and Endocrinology, University Medical Center Utrecht, Utrecht, the Netherlands.
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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.
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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
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Ebekozien O, Fantasia K, Farrokhi F, Sabharwal A, Kerr D. Technology and health inequities in diabetes care: How do we widen access to underserved populations and utilize technology to improve outcomes for all? Diabetes Obes Metab 2024; 26 Suppl 1:3-13. [PMID: 38291977 PMCID: PMC11040507 DOI: 10.1111/dom.15470] [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: 11/24/2023] [Revised: 01/04/2024] [Accepted: 01/12/2024] [Indexed: 02/01/2024]
Abstract
Digital health technologies are being utilized increasingly in the modern management of diabetes. These include tools such as continuous glucose monitoring systems, connected blood glucose monitoring devices, hybrid closed-loop systems, smart insulin pens, telehealth, and smartphone applications (apps). Although many of these technologies have a solid evidence base, from the perspective of a person living with diabetes, there remain multiple barriers preventing their optimal use, creating a digital divide. In this article, we describe many of the origins of these barriers and offer recommendations on widening access to digital health technologies for underserved populations living with diabetes to improve their health outcomes.
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Affiliation(s)
- Osagie Ebekozien
- T1D Exchange, Boston, Massachusetts, USA
- Department of Population Health, University of Mississippi, Jackson, Mississippi, USA
| | - Kathryn Fantasia
- Section of Endocrinology, Diabetes and Nutrition, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
| | - Farnoosh Farrokhi
- Alta Bates Summit Medical Centre, Sutter East Bay Medical Foundation, Oakland, California, USA
| | - Ashutosh Sabharwal
- Department of Electrical and Computer Engineering, Rice University, Houston, Texas, USA
| | - David Kerr
- Centre for Health System Research, Sutter Health, Santa Barbara, California, USA
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8
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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.
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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
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Barua S, Glantz N, Larez A, Bevier W, Sabharwal A, Kerr D. A probabilistic computation framework to estimate the dawn phenomenon in type 2 diabetes using continuous glucose monitoring. Sci Rep 2024; 14:2915. [PMID: 38316854 PMCID: PMC10844336 DOI: 10.1038/s41598-024-52461-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Accepted: 01/18/2024] [Indexed: 02/07/2024] Open
Abstract
In type 2 diabetes (T2D), the dawn phenomenon is an overnight glucose rise recognized to contribute to overall glycemia and is a potential target for therapeutic intervention. Existing CGM-based approaches do not account for sensor error, which can mask the true extent of the dawn phenomenon. To address this challenge, we developed a probabilistic framework that incorporates sensor error to assign a probability to the occurrence of dawn phenomenon. In contrast, the current approaches label glucose fluctuations as dawn phenomena as a binary yes/no. We compared the proposed probabilistic model with a standard binary model on CGM data from 173 participants (71% female, 87% Hispanic/Latino, 54 ± 12 years, with either a diagnosis of T2D for six months or with an elevated risk of T2D) stratified by HbA1c levels into normal but at risk for T2D, with pre-T2D, or with non-insulin-treated T2D. The probabilistic model revealed a higher dawn phenomenon frequency in T2D [49% (95% CI 37-63%)] compared to pre-T2D [36% (95% CI 31-48%), p = 0.01] and at-risk participants [34% (95% CI 27-39%), p < 0.0001]. While these trends were also found using the binary approach, the probabilistic model identified significantly greater dawn phenomenon frequency than the traditional binary model across all three HbA1c sub-groups (p < 0.0001), indicating its potential to detect the dawn phenomenon earlier across diabetes risk categories.
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Affiliation(s)
- Souptik Barua
- Division of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA.
- Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA.
| | - Namino Glantz
- Sansum Diabetes Research Institute, Santa Barbara, CA, USA
- Santa Barbara County Education Office, Santa Barbara, CA, USA
| | - Arianna Larez
- Sansum Diabetes Research Institute, Santa Barbara, CA, USA
| | - Wendy Bevier
- Sansum Diabetes Research Institute, Santa Barbara, CA, USA
| | - Ashutosh Sabharwal
- Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA
| | - David Kerr
- Sansum Diabetes Research Institute, Santa Barbara, CA, USA
- Center for Health Systems Research, Sutter Health, Santa Barbara, CA, USA
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10
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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.
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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
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11
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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.
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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
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12
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Klupa T, Czupryniak L, Dzida G, Fichna P, Jarosz-Chobot P, Gumprecht J, Mysliwiec M, Szadkowska A, Bomba-Opon D, Czajkowski K, Malecki MT, Zozulinska-Ziolkiewicz DA. Expanding the Role of Continuous Glucose Monitoring in Modern Diabetes Care Beyond Type 1 Disease. Diabetes Ther 2023:10.1007/s13300-023-01431-3. [PMID: 37322319 PMCID: PMC10299981 DOI: 10.1007/s13300-023-01431-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 05/31/2023] [Indexed: 06/17/2023] Open
Abstract
Application of continuous glucose monitoring (CGM) has moved diabetes care from a reactive to a proactive process, in which a person with diabetes can prevent episodes of hypoglycemia or hyperglycemia, rather than taking action only once low and high glucose are detected. Consequently, CGM devices are now seen as the standard of care for people with type 1 diabetes mellitus (T1DM). Evidence now supports the use of CGM in people with type 2 diabetes mellitus (T2DM) on any treatment regimen, not just for those on insulin therapy. Expanding the application of CGM to include all people with T1DM or T2DM can support effective intensification of therapies to reduce glucose exposure and lower the risk of complications and hospital admissions, which are associated with high healthcare costs. All of this can be achieved while minimizing the risk of hypoglycemia and improving quality of life for people with diabetes. Wider application of CGM can also bring considerable benefits for women with diabetes during pregnancy and their children, as well as providing support for acute care of hospital inpatients who experience the adverse effects of hyperglycemia following admission and surgical procedures, as a consequence of treatment-related insulin resistance or reduced insulin secretion. By tailoring the application of CGM for daily or intermittent use, depending on the patient profile and their needs, one can ensure the cost-effectiveness of CGM in each setting. In this article we discuss the evidence-based benefits of expanding the use of CGM technology to include all people with diabetes, along with a diverse population of people with non-diabetic glycemic dysregulation.
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Affiliation(s)
- Tomasz Klupa
- Department of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland.
| | - Leszek Czupryniak
- Department of Diabetology and Internal Medicine, Medical University of Warsaw, Warsaw, Poland
| | - Grzegorz Dzida
- Department of Internal Diseases, Medical University of Lublin, Lublin, Poland
| | - Piotr Fichna
- Department of Pediatric Diabetes and Obesity, Poznan University of Medical Sciences, Poznan, Poland
| | | | - Janusz Gumprecht
- Department of Internal Medicine, Diabetology and Nephrology, Medical University of Silesia, Katowice, Poland
| | - Malgorzata Mysliwiec
- Department of Pediatrics, Diabetology and Endocrinology, Medical University of Gdansk, Gdansk, Poland
| | - Agnieszka Szadkowska
- Department of Pediatrics, Diabetology, Endocrinology and Nephrology, Medical University of Lodz, Lodz, Poland
| | - Dorota Bomba-Opon
- 1st Department of Obstetrics and Gynecology, Medical University of Warsaw, Warsaw, Poland
| | - Krzysztof Czajkowski
- 2nd Department of Obstetrics and Gynecology, Medical University of Warsaw, Warsaw, Poland
| | - Maciej T Malecki
- Department of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland
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