Effectiveness and acceptability of continuous glucose monitoring for type 2 diabetes management: A narrative review

A combined diabetes and continuous glucose monitoring education program for adults with type 2 diabetes

Objective

The lack of descriptions for education programs in studies evaluating the efficacy of continuous glucose monitoring (CGM) compared to blood glucose monitoring (BGM) for individuals with T2DM makes it difficult to compare results across trials. This study aimed to develop and evaluate a new education program for adults with insulin-treated T2DM and HbA1c ≥58 mmol/mol (7.5 %) initiating CGM.

Methods

A 3-h education program was created to provide information on diabetes self-management and CGM or BGM based on international guidelines and a pre-evaluation based on user needs assessment. Questionnaires were used to post-evaluate participant-rated benefits from the program.

Results

Seven individuals attended a user needs assessment of the program and 96 participated in the final education program (61.5 % men, mean age 61 (59.5;63) years, mean diabetes duration 18.2 (16.9;19.5) years, and median HbA1c 69 (63-78)mmol/mol (8.5 (7.9-9.3)%). Benefit from this program was rated good/very good by 95.5 % with no statistically significant difference between glucose monitoring groups.

Conclusions

This study presents a new well-received education program for T2DM for both the CGM and BGM group.

Innovation

The description of the development process and the education provided for both glucose monitoring groups may be useful for CGM initiation in clinics and trials.

Flash Glucose Monitoring is Associated with HbA1c Improvement in Type 2 Diabetes Managed with Multiple Daily Injections of Insulin in the UK: A Retrospective Observational Study

INTRODUCTION

There is a growing body of evidence demonstrating the benefit of flash glucose monitoring in people living with type 2 diabetes mellitus (T2DM). This real-world study aimed to evaluate the effect of initiating flash glucose monitoring on change in HbA1c after 3-6 months in adults living with T2DM treated with multiple daily injections of insulin.

METHODS

A retrospective observational study using data from ten clinical centres in the UK for adults with T2DM treated with multiple daily injections of insulin for at least 1 year was conducted. Patients who had been using the FreeStyle Libre/Libre 2 Flash Glucose Monitoring System for at least 3 months with baseline HbA1c 64-108 mmol/mol (8.0-12.0%) recorded up to 3 months prior to system use were included. Pregnant patients and those on dialysis were excluded. Patients with an HbA1c value measured 3-6 months after commencing flash glucose monitoring were included in the final analysis for evaluation of change.

RESULTS

In total, 87 patients were included in the final analysis (mean age, 60.0 ± 11.8 years, 60.9% male, mean body mass index (BMI), 31.6 ± 5.4 [mean ± SD]). From a mean baseline HbA1c of 80 ± 11 mmol/mol (9.5% ± 1.0%), HbA1c lowered by 11 ± 14 mmol/mol (1.0% ± 1.3%) at 3-6 months (p < 0.0001). A decrease was observed independent of age, baseline HbA1c, sex, duration of insulin use and BMI subgroups.

CONCLUSIONS

Initiation of flash glucose monitoring was associated with a clinically and statistically significant improvement in HbA1c in a real-world setting at 3-6 months.

Use of continuous glucose monitoring when initiating glucagon-like peptide-1 receptor agonist therapy in insulin-treated diabetes

Glucagon-like peptide-1 receptor agonist (GLP-1RA) medications have been shown to be effective in achieving optimal glucose control and reducing all-cause death, cardiovascular death, nonfatal myocardial infarction, hospitalization for heart failure, and end-stage kidney disease in individuals with type 1 (T1D) and type 2 diabetes (T2D). However, use of these medications has been associated with increased hypoglycaemia risk in patients treated with concomitant antihyperglycaemic medications. The risk is particularly high in patients with T1D due to their loss of glucagon counter-regulatory response. This article reviews the effect of GLP-1RA formulations on the development of hypoglycaemia in individuals with T1D and T2D treated with insulin therapy, discusses the benefits of continuous glucose monitoring with GLP-1RA treatment, and presents strategies for safely initiating GLP-1RA therapy in these individuals.

Continuous glucose monitoring for the routine care of type 2 diabetes mellitus

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.

Peer support for adults with type 2 diabetes starting continuous glucose monitoring-An exploratory randomised controlled trial

AIMS

To explore the feasibility and potential benefits of a peer support programme for adults with insulin-treated type 2 diabetes (T2D) starting continuous glucose monitoring (CGM).

METHODS

This part of the Steno2tech study is an exploratory, single-centre, open-labelled, prospective, randomised controlled trial (RCT). A total of 60 participants were randomised 2:1 to 12 months of CGM with or without peer support. All participants received a 3-h diabetes self-management education course including a CGM part on how to use the CGM and interpret the CGM-derived data. Peer support consisted of three 3-h peer support meetings over the first 6 months of the study period with groups of three to six people. The exploratory outcomes included the acceptability and feasibility of the peer support intervention, and the between-group difference in change in several glycaemic, metabolic and participant-reported outcomes measured at baseline, 6 and 12 months.

RESULTS

The peer support intervention was found acceptable and feasible. Participants shared their experiences of using and interpreting CGM data and its association with health behaviour. While both groups had improvements in glycaemic, metabolic and participant-reported outcomes, there were no significant between-group differences.

CONCLUSIONS

Although feasible, we found no measured additional benefits when adding a peer support programme after starting CGM in this exploratory RCT including adults with insulin-treated T2D. Understanding the perceived effect of and preferences for a peer support intervention from the participants' points of view, including why individuals declined to participate, would be of value for future research.

Lifestyle Intervention With Smartphone App and isCGM for People at High Risk of Type 2 Diabetes: Randomized Trial

AIMS

Although conventional interventions for people at high risk of developing type 2 diabetes are usually conducted face-to-face, such interventions are burdensome for health care providers. We developed a lifestyle intervention program combining lifestyle coaching via a smartphone application augmented by intermittently scanned continuous glucose monitoring without burdening health care providers. Its effectiveness for glycemic control and body weight reduction in people at risk of type 2 diabetes was investigated.

MATERIALS AND METHODS

For this 12-week randomized unblinded trial with offline recruitment, participants with a hemoglobin A1c level of 5.6% to 6.4% or a fasting blood glucose of 110 to 125 mg/dL and body mass index (BMI) >23 kg/m2 but <40 kg/m2 were randomly assigned to the intervention group (App) and control group (C). The primary endpoint was the difference in time in range of blood glucose between 70 and 140 mg/dL (3.9-7.8 mmol/L) before and after the study period between the 2 groups.

RESULTS

Among 168 patients (mean age, 48.1 years; mean BMI, 26.6 kg/m2; and male, 80.4%), 82 and 86 were assigned to the App group and C group, respectively. After 12 weeks, time in range of blood glucose at 70 to 140 mg/dL significantly improved in the App group compared with the C group (-2.6 minutes/day vs +31.5 minutes/day, P = .03). Changes in time above range did not differ, whereas time below range (blood glucose <70 mg/dL; +23.5 minutes/day vs -8.9 minutes/day, P = .02) improved in the App group. BMI (-0.26 vs -0.59, P = .017) was reduced in the App group compared with the C group.

CONCLUSION

Intervention with a smartphone app and intermittently scanned continuous glucose monitoring increased glycemic control accompanied by decreased carbohydrate intake and weight loss. Further trials are needed to confirm whether these interventions can reduce incident type 2 diabetes.

Exploring Patient Needs and Designing Concepts for Digitally Supported Health Solutions in Managing Type 2 Diabetes: Cocreation Study

BACKGROUND

Self-management of the progressive disease type 2 diabetes mellitus (T2DM) becomes part of the daily life of patients starting from the time of diagnosis. However, despite the availability of technical innovations, the uptake of digital solutions remains low. One reason that has been reported is that digital solutions often focus purely on clinical factors that may not align with the patient's perspective.

OBJECTIVE

The aim of this study was to develop digital solutions that address the needs of patients with T2DM, designed from the user's perspective. The goal was to address the patients' expressed real-world needs by having the users themselves choose the scope and format of the solutions.

METHODS

Using participatory methods, we conducted 3 cocreation workshops in collaboration with the Danish Diabetes Association, with 20 persons with T2DM and 11 stakeholders across workshops: user experience designers, researchers, and diabetes experts including a diabetes nurse. The overall structure of the 3 workshops was aligned with the 4 phases of the double diamond: initially discovering and mapping out key experienced issues, followed by a workshop on thematic mapping and definition of key concepts, and succeeded by an exploration and development of 2 prototypes. Subsequently, high-fidelity interactive prototypes were refined as part of the delivery phase, in which 7 formative usability tests were conducted.

RESULTS

The workshops mapped experiential topics over time from prediagnosis to the current state, resulting in a detailed exploration and understanding of 6 themes related to and based on the experiences of patients with T2DM: diabetes care, diabetes knowledge, glucose monitoring, diet, physical activity, and social aspects of diabetes. Two prototypes were developed by the participants to address some of their expressed needs over time related to the 6 themes: an activity-based continuous glucose monitoring app and a web-based guide to diabetes. Both prototypes emphasize periods of structured self-measurements of blood glucose to support evolving needs for self-exploration through distinct phases of learning, active use, and supporting use. Periods of low or intermittent use may thus not reflect a failure of design in a traditional sense but rather be a sign of evolving needs over time.

CONCLUSIONS

Our results indicate that the needs of patients with T2DM differ between individuals and change over time. As a result, the suggested digitally supported empowering health prototypes can be personalized to support self-exploration, individual preference in long-term management, and changing needs over time. Despite individuals experiencing different journeys with diabetes, users perceive the self-measurement of blood glucose as a universally useful tool to empower everyday decision-making.

DiaTrend: A dataset from advanced diabetes technology to enable development of novel analytic solutions

Objective digital data is scarce yet needed in many domains to enable research that can transform the standard of healthcare. While data from consumer-grade wearables and smartphones is more accessible, there is critical need for similar data from clinical-grade devices used by patients with a diagnosed condition. The prevalence of wearable medical devices in the diabetes domain sets the stage for unique research and development within this field and beyond. However, the scarcity of open-source datasets presents a major barrier to progress. To facilitate broader research on diabetes-relevant problems and accelerate development of robust computational solutions, we provide the DiaTrend dataset. The DiaTrend dataset is composed of intensive longitudinal data from wearable medical devices, including a total of 27,561 days of continuous glucose monitor data and 8,220 days of insulin pump data from 54 patients with diabetes. This dataset is useful for developing novel analytic solutions that can reduce the disease burden for people living with diabetes and increase knowledge on chronic condition management in outpatient settings.

A randomized clinical trial comparing low-fat with precision nutrition-based diets for weight loss: impact on glycemic variability and HbA1c

BACKGROUND

Recent studies have demonstrated considerable interindividual variability in postprandial glucose response (PPGR) to the same foods, suggesting the need for more precise methods for predicting and controlling PPGR. In the Personal Nutrition Project, the investigators tested a precision nutrition algorithm for predicting an individual's PPGR.

OBJECTIVE

This study aimed to compare changes in glycemic variability (GV) and HbA1c in 2 calorie-restricted weight loss diets in adults with prediabetes or moderately controlled type 2 diabetes (T2D), which were tertiary outcomes of the Personal Diet Study.

METHODS

The Personal Diet Study was a randomized clinical trial to compare a 1-size-fits-all low-fat diet (hereafter, standardized) with a personalized diet (hereafter, personalized). Both groups received behavioral weight loss counseling and were instructed to self-monitor diets using a smartphone application. The personalized arm received personalized feedback through the application to reduce their PPGR. Continuous glucose monitoring (CGM) data were collected at baseline, 3 mo and 6 mo. Changes in mean amplitude of glycemic excursions (MAGEs) and HbA1c at 6 mo were assessed. We performed an intention-to-treat analysis using linear mixed regressions.

RESULTS

We included 156 participants [66.5% women, 55.7% White, 24.1% Black, mean age 59.1 y (standard deviation (SD) = 10.7 y)] in these analyses (standardized = 75, personalized = 81). MAGE decreased by 0.83 mg/dL per month for standardized (95% CI: 0.21, 1.46 mg/dL; P = 0.009) and 0.79 mg/dL per month for personalized (95% CI: 0.19, 1.39 mg/dL; P = 0.010) diet, with no between-group differences (P = 0.92). Trends were similar for HbA1c values.

CONCLUSIONS

Personalized diet did not result in an increased reduction in GV or HbA1c in patients with prediabetes and moderately controlled T2D, compared with a standardized diet. Additional subgroup analyses may help to identify patients who are more likely to benefit from this personalized intervention. This trial was registered at clinicaltrials.gov as NCT03336411.

Expanding the Role of Continuous Glucose Monitoring in Modern Diabetes Care Beyond Type 1 Disease

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.

Type 2 Decompensated Diabetes Mellitus Weaned off Subcutaneous Insulin Therapy by Utilizing a Continuous Glucose Monitoring Device

A case series was conducted on three patients diagnosed with decompensated type 2 diabetes mellitus (T2DM) who had hemoglobin A1c (HbA1c) levels ranging from 9.5% to above 14%. Patients were self-monitoring blood glucose (SMBG) levels four times a day. These patients were seen at the resident continuity clinic and were placed on continuous glucose monitor (CGM) devices to monitor their blood glucose levels. To improve the effectiveness of the treatment closely, a CGM team consisting of transitional year and internal medicine residents was arranged.

The CGM team provided comprehensive education and written instructions on dietary changes, insulin administration, and physical activity at monthly follow-up appointments. Before the instructions were given to the patients, they were reviewed and approved by the supervising attending physician who was a board-certified endocrinologist. Our CGM team successfully managed these three patients with T2DM by tailoring their insulin regimens by using real-time CGM data. With the help of close CGM monitoring, patients were successfully transitioned from requiring multiple subcutaneous insulin injections to oral anti-diabetics. After the transition, patients’ T2DM remained well-controlled with an HbA1c level of less than 7% at their follow-up appointments.

This case series demonstrated the successful implementation of CGM-guided T2DM treatment in a continuity clinic managed by residents. To our knowledge, the use of CGM-guided T2DM treatment in the setting of resident care has never been reported in the United States before. This may serve as a benchmark for other continuity clinics which residents run across the country.

Diabetes patient preferences for glucose-monitoring technologies: results from a discrete choice experiment in Poland and the Netherlands

INTRODUCTION

New glucose-monitoring technologies have different cost-benefit profiles compared with traditional finger-prick tests, resulting in a preference-sensitive situation for patients. This study aimed to assess the relative value adults with diabetes assign to device attributes in two countries.

RESEARCH DESIGN AND METHODS

Adults with type 1 or 2 diabetes from the Netherlands (n=226) and Poland (n=261) completed an online discrete choice experiment. Respondents choose between hypothetical glucose monitors described using seven attributes: precision, effort to check, number of finger pricks required, risk of skin irritation, information provided, alarm function and out-of-pocket costs. Panel mixed logit models were used to determine attribute relative importance and to calculate expected uptake rates and willingness to pay (WTP).

RESULTS

The most important attribute for both countries was monthly out-of-pocket costs. Polish respondents were more likely than Dutch respondents to choose a glucose-monitoring device over a standard finger prick and had higher WTP for a device. Dutch respondents had higher WTP for device improvements in an effort to check and reduce the number of finger pricks a device requires.

CONCLUSION

Costs are the primary concern of patients in both countries when choosing a glucose monitor and would likely hamper real-world uptake. The costs-benefit profiles of such devices should be critically reviewed.

[Insulin pump therapy and continuous glucose monitoring]

This Guideline represents the recommendations of the Austrian Diabetes Association (ÖDG) on the use of diabetes technology (insulin pump therapy; continuous glucose monitoring, CGM; hybrid closed-loop systems, HCL; diabetes apps) and access to these technological innovations for people with diabetes mellitus based on current scientific evidence.

The syndromic triad of COVID-19, type 2 diabetes, and malnutrition

The coronavirus disease 2019 (COVID-19) pandemic challenges our collective understanding of transmission, prevention, complications, and clinical management of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Risk factors for severe infection, morbidity, and mortality are associated with age, environment, socioeconomic status, comorbidities, and interventional timing. Clinical investigations report an intriguing association of COVID-19 with diabetes mellitus and malnutrition but incompletely describe the triphasic relationship, its mechanistic pathways, and potential therapeutic approaches to address each malady and their underlying metabolic disorders. This narrative review highlights common chronic disease states that interact epidemiologically and mechanistically with the COVID-19 to create a syndromic phenotype-the COVID-Related Cardiometabolic Syndrome-linking cardiometabolic-based chronic disease drivers with pre-, acute, and chronic/post-COVID-19 disease stages. Since the association of nutritional disorders with COVID-19 and cardiometabolic risk factors is well established, a syndromic triad of COVID-19, type 2 diabetes, and malnutrition is hypothesized that can direct, inform, and optimize care. In this review, each of the three edges of this network is uniquely summarized, nutritional therapies discussed, and a structure for early preventive care proposed. Concerted efforts to identify malnutrition in patients with COVID-19 and elevated metabolic risks are needed and can be followed by improved dietary management while simultaneously addressing dysglycemia-based chronic disease and malnutrition-based chronic disease.

A Mediated Enzymatic Electrochemical Sensor Using Paper-Based Laser-Induced Graphene

Laser-induced graphene (LIG) has been applied in many different sensing devices, from mechanical sensors to biochemical sensors. In particular, LIG fabricated on paper (PaperLIG) shows great promise for preparing cheap, flexible, and disposable biosensors. Distinct from the fabrication of LIG on polyimide, a two-step process is used for the fabrication of PaperLIG. In this study, firstly, a highly conductive PaperLIG is fabricated. Further characterization of PaperLIG confirmed that it was suitable for developing biosensors. Subsequently, the PaperLIG was used to construct a biosensor by immobilizing glucose oxidase, aminoferrocene, and Nafion on the surface. The developed glucose biosensor could be operated at a low applied potential (-90 mV) for amperometric measurements. The as-prepared biosensor demonstrated a limit of detection of (50-75 µM) and a linear range from 100 µM to 3 mM. The influence of the concentration of the Nafion casting solution on the performance of the developed biosensor was also investigated. Potential interfering species in saliva did not have a noticeable effect on the detection of glucose. Based on the experimental results, the simple-to-prepare PaperLIG-based saliva glucose biosensor shows great promise for application in future diabetes management.

A computational framework for discovering digital biomarkers of glycemic control

Digital biomarkers can radically transform the standard of care for chronic conditions that are complex to manage. In this work, we propose a scalable computational framework for discovering digital biomarkers of glycemic control. As a feasibility study, we leveraged over 79,000 days of digital data to define objective features, model the impact of each feature, classify glycemic control, and identify the most impactful digital biomarkers. Our research shows that glycemic control varies by age group, and was worse in the youngest population of subjects between the ages of 2–14. In addition, digital biomarkers like prior-day time above range and prior-day time in range, as well as total daily bolus and total daily basal were most predictive of impending glycemic control. With a combination of the top-ranked digital biomarkers, we achieved an average F1 score of 82.4% and 89.7% for classifying next-day glycemic control across two unique datasets.

Experiences of Using Wearable Continuous Glucose Monitors in Adults With Diabetes: A Qualitative Descriptive Study

PURPOSE

The purpose of the study was to understand the experiences of adults with diabetes wearing a continuous glucose monitor (CGM).

METHODS

This qualitative, descriptive study included 19 adults with type 1 diabetes or type 2 diabetes, who had used the FreeStyle Libre CGM for at least 4 weeks, from an outpatient clinic at a university-affiliated hospital in Korea. Data were collected through in-depth interviews and analyzed using an inductive content analysis approach.

RESULTS

The content analysis revealed 3 major themes-navigating glucose level fluctuations, reframing diabetes self-care and improving quality of life, and device improvement and service quality. Participants reported that CGMs offered convenient glucose level monitoring, allowed early response to rapid glucose changes, and facilitated effective patient-clinician communication. Participants expressed concerns about the financial burden and limited services, recommending improvements for devices, consumer services, and health insurance coverage.

CONCLUSIONS

Study findings indicated that using wearable CGMs could improve self-care and quality of life in adults with diabetes. Using CGMs could improve patients' understanding of how diabetes self-care management affects real-time glucose levels. Health care providers could support patients' self-care by using device data. Improvements in quality, services, and insurance coverage could increase user satisfaction and promote self-care.

Use of continuous glucose monitor as a motivational device for lifestyle modifications to improve glycaemic control in patients with type 2 diabetes treated with non-insulin therapies

The efficacy of continuous glucose monitors (CGM) to improve glycaemic control in individuals on intensive insulin therapy (basal and prandial) has been well established in several studies; however, there is limited evidence on its usage and efficacy in patients with type 2 diabetes (T2D) who are on non-insulin therapies. Lifestyle modifications and glucose monitoring are essential components of the management of T2D. We report a case that demonstrates the impact of CGM use as an effective tool for patient education and motivation to implement and adhere to lifestyle modifications in improving glycaemic control in a patient with long-standing poorly controlled T2D who was on oral glucose-lowering medications. CGM use is associated with high level of patient satisfaction which can improve quality of life and has the potential to reduce long-term complications related to poor glycaemic control. These observations emphasise the need to broaden the use of CGM in this patient population.

Personalised Nutritional Recommendations Based on Individual Post-Prandial Glycaemic Responses Improve Glycaemic Metrics and PROMs in Patients with Type 2 Diabetes: A Real-World Assessment

The recommended first-line therapy in type 2 diabetes (T2D) is lifestyle modification. In many patients, such interventions fail, and disease progresses inexorably to medication requirement. A potential reason for the failure of standard nutritional interventions is the use of generic dietary advice, with no personalisation to account for differences in the effect of food on blood glucose between different individuals. Another is the lack of instant feedback on the impact of dietary modification on glycaemic control, which supports sustained behaviour change. The use of continuous glucose monitoring (CGM) may help address both these shortcomings. We conducted an observational study to explore how personalised nutritional information impacts glycaemic control and patient-reported outcome measures (PROMs) of well-being. Free-living people with T2D eating their normal diet were provided with personalised nutritional recommendations by state-registered nutritionists based on the CGM-enabled analysis of individual post-prandial glycaemic responses (PPGRs). Participants demonstrated considerable inter-individual differences in PPGRs, reductions in post-prandial incremental area under the curve (iAUC) and daytime AUC, and improvements in energy levels, ability to concentrate, and other PROMs. These results suggest a role for personalised nutritional recommendations based on individual-level understanding of PPGRs in the non-pharmaceutical management of T2D.

How use of continuous glucose monitoring can address therapeutic inertia in primary care

A significant proportion of individuals with diabetes have suboptimal glycemic management. Studies have shown that persistent hyperglycemia significantly increases the risks for both acute and long-term microvascular and macrovascular complications of diabetes. A key contributor to suboptimal glycemic management is therapeutic inertia in which clinicians delay intensifying therapy when patients are not meeting their glycemic goals. During the past five years, an increasing number of individuals with type 1 diabetes (T1D) and insulin-treated type 2 diabetes (T2D) have adopted use of continuous glucose monitoring (CGM) for daily measurement of glucose levels. As demonstrated in numerous clinical trials and real-world observational studies, use of CGM improves glycated hemoglobin (HbA1c) and reduces the occurrence and severity of hypoglycemia. However, for primary care clinicians who are unfamiliar with using CGM, integrating this technology into clinical practice can be daunting. In this article, we discuss the benefits and rationale for using CGM compared with traditional blood glucose monitoring (BGM), review the evidence supporting the clinical value of CGM in patients with T1D and T2D, and describe how use of CGM in primary care can facilitate appropriate and more timely therapy adjustments.

Continuous Glucose Monitoring Plus an Online Peer Support Community Reinforces Healthy Behaviors in Hispanic Adults With Type 2 Diabetes

Background

Previous research has suggested beneficial glycemic outcomes for people with type 2 diabetes with the use of continuous glucose monitoring (CGM); yet, there is a dearth of data examining CGM in diverse populations. Additionally, the use of online peer support communities (OPSCs) can further support the application of CGM information to improve health behaviors. The purpose of this qualitative study was to assess participant experiences with a CGM+OPSC intervention.

Methods

Semi-structured interviews were conducted after a 12-week combined CGM+OPSC intervention with Hispanic, Spanish-speaking people with type 2 diabetes not using insulin. The OPSC was managed by five trained bilingual peer facilitators. Interviews were conducted in Spanish. Audio recordings were translated and transcribed and then reviewed by the interviewer for accuracy. Emergent themes were identified through inductive thematic analysis.

Results

Twenty-six participants completed interviews. Three main themes emerged from the data: 1) CGM supports participants' understanding of the relationship between glucose levels and health behaviors such as healthy eating, being active, taking medication, stress reduction, and improving sleep; 2) the OPSC reinforced how to make healthy choices through personal experiments, collective learning, and social support; and 3) CGM+OPSC supports behavior change and increases confidence.

Conclusion

When combined, CGM+OPSC interventions appear to create a positive feedback loop to reinforce and optimize healthy behaviors for diabetes self-management in individuals with type 2 diabetes who are not on insulin. The provision of such an intervention tailored to Hispanic, Spanish-speaking individuals has the potential to address the health care disparity seen in this population.

Continuous Blood Glucose Monitoring Outcomes in Veterans With Type 2 Diabetes

Background

Nearly 25% of patients served in the US Department of Veterans Affairs have been diagnosed with type 2 diabetes mellitus (T2DM). Patients with DM typically monitor their blood glucose using intermittent fingerstick self-testing. Continuous glucose monitoring (CGM) might offer improved disease management.

Methods

We conducted a retrospective of VA patient records using a pre-post model. Average hemoglobin A_1c (HbA_1c) values were calculated for the year before and the year after CGM initiation. Our primary objective was to determine change in HbA_1c from the year before CGM initiation to the year after. Secondary objectives included changes in blood pressure, weight, and DM-related hospital and clinic visits during the same time frame.

Results

Both the total population and the adherent subgroup showed reduction in HbA_1c. The complete population showed a HbA_1c change of -0.3, and the adherent subgroup had a change of -1.3. The total population had a mean change in weight of -1.9 lb (-0.9 kg), and the adherent subgroup had an average change of -8.0 lb. Average systolic blood pressure changes were -0.1 mm Hg in the total population and +3.3 mm Hg in the adherent subgroup. A decrease in total encounters for DM complications was observed in the total population (-0.3 total encounters per patient) and the adherent subgroup (-0.6 total encounters per patient).

Conclusions

CGM did not correspond with clinically significant reductions in HbA_1c. However, veterans with increased health care engagement were likely to achieve clinically significant HbA_1c improvements. Adherent patients also had more reduction in weight and hospital or clinic visits with CGM compared with the total population.

Analysis of "Accuracy of a 14-Day Factory Calibrated Continuous Glucose Monitoring System With Advanced Algorithm in Pediatric and Adult Population With Diabetes"

In this study by Alva et al, accuracy of a second-generation factory calibrated continuous glucose monitoring system is evaluated. Compared to the first-generation FreeStyle Libre 14-day system (FSL), accuracy was improved throughout the 14-day wear period, including improved accuracy in hypoglycemia for adults and youth. The addition of optional real-time alerts for hypoglycemia and hyperglycemia as well as an integrated continuous glucose monitor (iCGM) designation by the FDA may further enable users to benefit from using CGM in real time, including in future automated insulin delivery systems. As CGM accuracy, affordability, and accessibility improve, we anticipate increased uptake of CGM by people on intensive insulin therapy, and also potential benefits and expansion into a broader patient population. There are growing opportunities to leverage cloud-connected CGM devices in the increasingly virtual, continuous telehealth-driven diabetes care model, which will require more focus on development and use of data interoperability standards.

Use of continuous glucose monitoring in obesity research: A scoping review

BACKGROUND

This scoping review provides a timely synthesis of the use of continuous glucose monitoring in obesity research with considerations to adherence to continuous glucose monitor devices and metrics most frequently reported.

METHODS

This scoping review was conducted adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklist. Eligible studies (n = 31) evaluated continuous glucose monitor use in research on participants, of all ages, with overweight or obesity.

RESULTS

Reviewed studies varied in duration from one to 84 days (mean: 8.74 d, SD 15.2, range 1-84 d) with 889 participants total (range: 11-118 participants). Across all studies, the mean percent continuous glucose monitor wear time (actual/intended wear time in days) was 92% (numerator - mean: 266.1 d, SD: 452, range: 9-1596 d/denominator - mean: 271.6 d, SD: 451.5, range: 9-1596 d). Continuous glucose monitoring was utilized to provide biofeedback (n = 2, 6%), monitor dietary adherence (n = 2, 6%), and assess glycemic variability (n = 29, 93%). The most common variability metrics reported were standard deviation (n = 19, 62%), area under the curve (n = 12, 39%), and glycemic range (n = 12, 39%).

CONCLUSIONS

Available evidence suggests that continuous glucose monitoring is a well-tolerated and versatile tool for obesity research in pediatric and adult patients. Future investigation is needed to substantiate the feasibility and utility of continuous glucose monitors in obesity research and maximize comparability across studies.

Evolving Use of Continuous Glucose Monitoring Beyond Intensive Insulin Treatment

Numerous studies have demonstrated the clinical benefits of continuous glucose monitoring (CGM) use in individuals with type 1 diabetes and type 2 diabetes (T2D) who are treated with intensive insulin therapy. A growing body of evidence suggests that CGM use may also confer similar glycemic benefits in T2D individuals who are treated with less-intensive therapies. Investigators are also exploring the potential use of CGM as an aid in weight management. This article reviews the continuing evolution of CGM, focusing on how CGM may be used to improve glycemic control and promote adoption of desired health behaviors within broader T2D and prediabetes populations.

Continuous Glucose Monitoring (CGM) Is a Tool, Not a Reward: Unjustified Insurance Coverage Criteria Limit Access to CGM

Recent studies have demonstrated the clinical utility of continuous glucose monitoring (CGM) use in type 2 diabetes (T2D) patients who are treated with intensive insulin management. Large retrospective database analyses of T2D patients treated with less-intensive therapies have also shown that CGM use was associated with significant reductions in hemoglobin A1c levels and health resource utilization, including diabetes-related hospitalizations and emergency room care. Despite the growing body of evidence supporting CGM use in the broader T2D population, current eligibility criteria required by public and many private insurers are denying millions of individuals with T2D access to this valuable technology. In this article, we discuss an evidence-based rationale for modifying current eligibility requirements for CGM coverage.

Promoting physical activity in persons with type 2 diabetes mellitus: A systematic review of systematic reviews

OBJECTIVE

There is a large amount of studies about interventions for promoting physical activity (PA) in persons with type 2 diabetes (T2D) as well as several systematic reviews referring to these studies. The objective of this contribution is to provide a systematic review of these systematic reviews.

METHOD

PubMed, PsychInfo and the Cochrane Library were searched for systematic reviews and/or meta-analyses regarding interventions for promoting PA in persons with T2D. The individual reviews and the relationships between the reviews were analysed.

RESULTS

Eighteen reviews were included. Seventeen of these reviews contained references to included trials, amounting to 113 trials in total. Five of the reviews addressed PA interventions in general; six addressed specific devices for delivering the intervention; five addressed specific approaches for giving the participants feedback about their outcomes; and two addressed specific therapeutic approaches. Only 14 cross-references were found.

CONCLUSION

Giving feedback about outcomes and helping people to integrate PA in their daily lives seem to be the most effective intervention components. Basing intervention development on theories seems helpful.

PRACTICAL IMPLICATIONS

Interventions should give feedback about outcomes and help to integrate PA in daily life. Intervention development should be theory-based.

The Impact of Low-dose Gliclazide on the Incretin Effect and Indices of Beta-cell Function

AIMS/HYPOTHESIS

Studies in permanent neonatal diabetes suggest that sulphonylureas lower blood glucose without causing hypoglycemia, in part by augmenting the incretin effect. This mechanism has not previously been attributed to sulphonylureas in patients with type 2 diabetes (T2DM). We therefore aimed to evaluate the impact of low-dose gliclazide on beta-cell function and incretin action in patients with T2DM.

METHODS

Paired oral glucose tolerance tests and isoglycemic infusions were performed to evaluate the difference in the classical incretin effect in the presence and absence of low-dose gliclazide in 16 subjects with T2DM (hemoglobin A1c < 64 mmol/mol, 8.0%) treated with diet or metformin monotherapy. Beta-cell function modeling was undertaken to describe the relationship between insulin secretion and glucose concentration.

RESULTS

A single dose of 20 mg gliclazide reduced mean glucose during the oral glucose tolerance test from 12.01 ± 0.56 to 10.82 ± 0.5mmol/l [P = 0.0006; mean ± standard error of the mean (SEM)]. The classical incretin effect was augmented by 20 mg gliclazide, from 35.5% (lower quartile 27.3, upper quartile 61.2) to 54.99% (34.8, 72.8; P = 0.049). Gliclazide increased beta-cell glucose sensitivity by 46% [control 22.61 ± 3.94, gliclazide 33.11 ± 7.83 (P = 0.01)] as well as late-phase incretin potentiation [control 0.92 ± 0.05, gliclazide 1.285 ± 0.14 (P = 0.038)].

CONCLUSIONS/INTERPRETATION

Low-dose gliclazide reduces plasma glucose in response to oral glucose load, with concomitant augmentation of the classical incretin effect. Beta-cell modeling shows that low plasma concentrations of gliclazide potentiate late-phase insulin secretion and increase glucose sensitivity by 50%. Further studies are merited to explore whether low-dose gliclazide, by enhancing incretin action, could effectively lower blood glucose without risk of hypoglycemia.

Intermittent Use of Continuous Glucose Monitoring: Expanding the Clinical Value of CGM

In addition to the continuous use, the intermittent use of continuous glucose monitoring (CGM) is an application of CGM, expanding the typical medical use cases. There are a variety of reasons and occasions that speak in favor of using CGM only for a limited time. To date, these circumstances have not been sufficiently discussed. In this article, we define discontinuous or intermittent CGM use, provide reasons for using it, and expand on the benefits and possibilities of using CGM on a temporary basis. We aim to draw attention to this important topic in the discussion of CGM use and give examples for a different method of CGM use. As well, we would like to foster the allocation of CGM to the right patient groups and indications, especially in cases of limited resources. From a global point of view, intermittent CGM use is more likely to occur than continuous use, primarily for economic reasons.

An International, Mixed-Methods Study of the Perceived Intrusiveness of Remote Digital Diabetes Monitoring

OBJECTIVE

To assess the relationship between remote digital monitoring (RDM) modalities for diabetes and intrusiveness in patients' lives.

PATIENTS AND METHODS

Online vignette-based survey (February 1 through July 1, 2019). Adults with diabetes (type 1, 2, or subtypes such as latent autoimmune diabetes of adulthood) assessed three randomly selected vignettes among 36 that combined different modalities for monitoring tools (three options: glucose- and physical activity [PA]-monitoring only, or glucose- and PA-monitoring with occasional or regular food monitoring), duration/feedback loops (six options: monitoring for a week before all vs before specific consultations with feedback given in consultation, vs monitoring permanently, with real-time feedback by one's physician vs by anoter caregiver, vs monitoring permanently, with real-time, artificial intelligence-generated treatment feedback vs treatment and lifestyle feedback), and data handling (two options: by the public vs private sector). We compared intrusiveness (assessed on a 5-point scale) across vignettes and used linear mixed models to identify intrusiveness determinants. We collected qualitative data to identify aspects that drove participants' perception of intrusiveness.

RESULTS

Overall, 1010 participants from 30 countries provided 2860 vignette-assessments (52% were type 1 diabetes). The monitoring modalities associated with increased intrusiveness were food monitoring compared with glucose- and PA-monitoring alone (β=0.34; 95% CI, 0.26 to 0.42; P<.001) and permanent monitoring with real-time physician-generated feedback compared with monitoring for a week with feedback in consultation (β=0.25; 95% CI, 0.16 to 0.34, P<.001). Public-sector data handling was associated with decreased intrusiveness as compared with private-sector (β=-0.15; 95% CI, -0.22 to -0.09; P<.001). Four drivers of intrusiveness emerged from the qualitative analysis: practical/psychosocial burden (eg, RDM attracting attention in public), control, data safety/misuse, and dehumanization of care.

CONCLUSION

RDM is intrusive when it includes food monitoring, real-time human feedback, and private-sector data handling.

The effects of professional continuous glucose monitoring as an adjuvant educational tool for improving glycemic control in patients with type 2 diabetes

BACKGROUND

The study objective was to evaluate the effects of professional continuous glucose monitoring (CGM) as an adjuvant educational tool for improving glycemic control in patients with type 2 diabetes (T2D).

METHODS

We conducted a three-month quasi-experimental study with an intervention (IGr) and control group (CGr) and ex-ante and ex-post evaluations in one family medicine clinic in Mexico City. Participants were T2D patients with HbA1c > 8% attending a comprehensive diabetes care program. In addition to the program, the IGr wore a professional CGM sensor (iPro™2) during the first 7 days of the study. Following this period, IGr participants had a medical consultation for the CGM results and treatment adjustments. Additionally, they received an educational session and personalized diet plan from a dietitian. After 3 months, the IGr again wore the CGM sensor for 1 week. The primary outcome variable was HbA1c level measured at baseline and 3 months after the CGM intervention. We analyzed the effect of the intervention on HbA1c levels by estimating the differences-in-differences treatment effect (Diff-in-Diff). Additionally, baseline and three-month CGM and dietary information were recorded for the IGr and analyzed using the Student's paired t-test and mixed-effects generalized linear models to control for patients' baseline characteristics.

RESULTS

Overall, 302 T2D patients participated in the study (IGr, n = 150; control, n = 152). At the end of the three-month follow-up, we observed 0.439 mean HbA1C difference between groups (p = 0.004), with an additional decrease in HbA1c levels in the IGr compared with the CGr (Diff-in-Diff HbA1c mean of - 0.481% points, p = 0.023). Moreover, compared with the baseline, the three-month CGM patterns showed a significant increase in the percentage of time in glucose range (+ 7.25; p = 0.011); a reduction in the percentage of time above 180 mg/dl (- 6.01; p = 0.045), a decrease in glycemic variability (- 3.94, p = 0.034); and improvements in dietary patterns, shown by a reduction in total caloric intake (- 197.66 Kcal/day; p = 0.0001).

CONCLUSION

Professional CGM contributes to reducing HbA1c levels and is an adjuvant educational tool that can improve glycemic control in patients with T2D.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT04667728 . Registered 16/12/2020.

Use of Virtual Care for Glycemic Management in People With Types 1 and 2 Diabetes and Diabetes in Pregnancy: A Rapid Review

Our objective in this study was to answer the main research question: In patients with diabetes, does virtual care vs face-to-face care provide different clinical, patient and practitioner experience or quality outcomes? Articles (2012 to 2020) describing interventions using virtual care with the capability for 2-way, individualized interactions compared with usual care were included. Studies involving any patients with diabetes and outcomes of glycated hemoglobin (A1C), quality of care and/or patient or health-care practitioner experience were included. Systematic reviews, randomized controlled studies, quasi-experimental trials, implementation trials, observational studies and qualitative analyses were reviewed. MEDLINE and McMaster Health Evidence databases searched in June 2020 identified 59 articles. Virtual care, in particular telemonitoring, combined with a means of 2-way communications provided improvement in A1C similar or superior to usual care, with the strongest evidence for type 2 diabetes. Virtual care was generally acceptable to patients, who expressed satisfaction with their care. Health-care providers recognized benefits but raised issues of technical support, workflow and compensation.

Type 2 Diabetes and the Use of Real-Time Continuous Glucose Monitoring

The role of continuous glucose monitoring (CGM) in type 1 diabetes (T1D) is well established in improving glycemic control and reducing hypoglycemia. Type 2 diabetes (T2D) is more prevalent than T1D and management of T2D is more heterogeneous, requiring treatment ranging from lifestyle modification to oral medications to intensive insulin therapy. Recent randomized controlled trials in intensively insulin-treated T2D demonstrated the efficacy and safety of real-time CGM (rtCGM) in reducing glycated hemoglobin without increasing hypoglycemia. Although evidence is limited, early studies have indicated a role for rtCGM in selected patients with non-insulin requiring T2D to improve glycemic control and/or reduce hypoglycemia. Based on literature review, we summarized current data on the use of rtCGM in T2D management and provided future research direction to generate more evidence on the utility of CGM in this population.

Remote Application and Use of Real-Time Continuous Glucose Monitoring by Adults with Type 2 Diabetes in a Virtual Diabetes Clinic

The Onduo Virtual Diabetes Clinic (VDC) for people with type 2 diabetes (T2D) combines a mobile app, remote lifestyle coaching, connected devices, and live video consultations with board-certified endocrinologists. Adults with T2D (n = 594) who were evaluated by a VDC endocrinologist, remotely prescribed and mailed a real-time continuous glucose monitoring (rtCGM) device and used ≥1 sensor completed a CGM satisfaction questionnaire. The CGM satisfaction score was 4.5 ± 0.8 out of 5. Most respondents (94.7%) agreed/strongly agreed that they were comfortable inserting the sensor remotely and that rtCGM use improved understanding of the impact of eating (97.0%), increased diabetes knowledge (95.7%), and helped improve diabetes control when not wearing the sensor (79.4%). HbA1c (n = 372) decreased from 7.7% ± 1.6% to 7.1% ± 1.2% (P < 0.001; 10.2 months). These data suggest that it is feasible to provide rtCGM directly to individuals with T2D through a VDC without in-office training. Intermittent use of rtCGM was well-received by adults with T2D and was associated with improvement in HbA1c.

Real-time continuous glucose monitoring versus self-monitoring of blood glucose in adults with insulin-treated type 2 diabetes: a protocol for a randomised controlled single-centre trial

INTRODUCTION

Medical treatment options for type 2 diabetes (T2D) have increased over the last decade and enhance the possibility of individualised treatment strategies where insulin is still one of them. In spite of the advancements in treatment options, less than one-third of the population with T2D obtain their optimal glycaemic goal. In persons with type 1 diabetes, continuous glucose monitoring (CGM) has shown to be the most important driver for improvement in glycaemic control, even more than insulin-pump therapy. The use of technology in T2D has only been investigated in few studies.The overall objective of the research study is to examine the effectiveness of the use of CGM versus self-monitoring of blood glucose (SMBG) in persons with insulin-treated T2D on glycaemic variables and patient-reported outcomes on treatment satisfaction, health behaviour and well-being. The independent effect of peer support will also be studied.

METHODS AND ANALYSIS

The study is a single centre, prospective, randomised, open-labelled, three-armed study with the randomisation 2:1:2 in group A with CGM, group B with CGM and peer support, and group C as a control group with SMBG. The participants receive a training course unique for the allocation group. The study runs for 12 months and includes 100 adult participants with insulin-treated T2D, treated at the outpatient clinic at Steno Diabetes Center Copenhagen. Primary outcome is difference in change in time in range. Recruitment begins in August 2020 and ends in July 2021. Final 12-month follow-up is anticipated to be in August 2022.

ETHICS AND DISSEMINATION

The study will be carried out in accordance with the Helsinki Declaration and is approved by the Scientific Ethics Committee of the Capital Region (H-20000843). Data collection and handling will be performed in accordance with the General Data Protection Regulation and is approved by the Danish Data Protection Agency (J-2020-100). Dissemination will be in international peer-reviewed journals, conferences and a plain-language summary for participants.

TRIAL REGISTRATION NUMBER

ClinicalTrials.gov Registry (NCT04331444).

PROTOCOL VERSION

V.3, 11 December 2020.

Evaluation of Patient Willingness to Adopt Remote Digital Monitoring for Diabetes Management

Importance

Patients will decide whether to adopt remote digital monitoring (RDM) for diabetes by weighing its health benefits against the inconvenience it may cause.

Objective

To identify the minimum effectiveness patients report they require to adopt 36 different RDM scenarios.

Design, Setting, and Participants

This survey study was conducted among adults with type 1 or type 2 diabetes living in 30 countries from February to July 2019.

Exposures

Survey participants assessed 3 randomly selected scenarios from a total of 36. Scenarios described different combinations of digital monitoring tools (glucose, physical activity, food monitoring), duration and feedback loops (feedback in consultation vs real-time telefeedback by a health care professional or by artificial intelligence), and data handling modalities (by a public vs private company), reflecting different degrees of RDM intrusiveness in patients' personal lives.

Main Outcomes and Measures

Participants assessed the minimum effectiveness for 2 diabetes-related outcomes (reducing hypoglycemic episodes and preventing ophthalmologic complications) for which they would adopt each RDM (from much less effective to much more effective than their current monitoring).

Results

Of 1577 individuals who consented to participate, 1010 (64%; 572 [57%] women, median [interquartile range] age, 51 [37-63] years, 524 [52%] with type 1 diabetes) assessed at least 1 vignette. Overall, 2860 vignette assessments were collected. In 1025 vignette assessments (36%), participants would adopt RDM only if it was much more effective at reducing hypoglycemic episodes compared with their current monitoring; in 1835 assessments (65%), participants would adopt RDM if was just as or somewhat more effective. The main factors associated with required effectiveness were food monitoring (β = 0.32; SE, 0.12; P = .009), real-time telefeedback by a health care professional (β = 0.49; SE, 0.15; P = .001), and perceived intrusiveness (β = 0.36; SE, 0.06; P < .001). Minimum required effectiveness varied among participants; 34 of 36 RDM scenarios (94%) were simultaneously required to be just as or less effective by at least 25% of participants and much more effective by at least 25% of participants. Results were similar for participant assessments of scenarios regarding the prevention of ophthalmologic complications.

Conclusions and Relevance

The findings of this study suggest that patients require greater health benefits to adopt more intrusive RDM modalities, food monitoring, and real-time feedback by a health care professional. Patient monitoring devices should be designed to be minimally intrusive. The variability in patients' requirements points to a need for shared decision-making.

Glycemic Control and Variability of Diabetes Secondary to Total Pancreatectomy Assessed by Continuous Glucose Monitoring

CONTEXT

The extent of the glycemic variability in diabetes secondary to total pancreatectomy is not fully understood.

OBJECTIVE

To evaluate glycemic variability in totally pancreatectomized (PX) patients and compare it to glycemic variability in hemoglobin A1c (HbA1c)-matched patients with long-standing type 1 diabetes (T1D).

DESIGN

A case-control study was performed.

SETTING

Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark.

PATIENTS OR OTHER PARTICIPANTS

Ten PX patients (mean [SEM]: age 64.3 [9.8] years; body mass index (BMI) 34.4 [5.0] kg/m2; duration of diabetes 3 [2.8] years), 10 HbA1c-matched patients with T1D (63.9 [8.6] years; 24.6 [3.1] kg/m2; 22 [4] years), and 10 gender-, age-, and BMI-matched healthy controls. All patients were managed on multiple daily injections of insulin.

INTERVENTION

Continuous glucose monitoring (CGM) (Medtronic MiniMed iPro 2) during 12 consecutive days.

MAIN OUTCOME MEASURES

Glycemic variability.

RESULTS

HbA1c levels were similar in the PX group and the T1D group. The PX group had greater continuous overall net glycemic action per 60 minutes (CONGA60 min) compared with the T1D group (mean [SEM]: 9.5 [0.3] vs 8.3 [0.2] mmol/L, P < 0.003) and mean plasma glucose values were higher in the PX group (10.6 [0.9] vs 9.0 [0.9] mmol/L, P < 0.001), whereas coefficient of variation for plasma glucose and standard deviation of mean plasma glucose, respectively, were similar in the 2 groups. Time spent below range was not different between the PX and the T1D group (2.3 [0.8] vs 4.5 [0.8]%, P = 0.065), whereas time spent above range was higher in the PX group (51.4 [3.3] vs 37.6 [1.9]%, P < 0.001).

CONCLUSIONS

CGM-assessed glycemic variability showed higher CONGA60 min and time spent above range in our PX patients compared with HbA1c-matched T1D patients. This study is registered at www.ClinicalTrials.gov (NCT02944110).

A Systematic Review of Collective Evidences Investigating the Effect of Diabetes Monitoring Systems and Their Application in Health Care

INTRODUCTION

Diabetes monitoring systems (DMS) are a possible approach for regular control of glucose levels in patients with Type 1 or 2 diabetes in order to improve therapeutic outcomes or to identify and modify inappropriate patient behaviors in a timely manner. Despite the significant number of studies observing the DMS, no collective evidence is available about the effect of all devices.

GOAL

To review and consolidate evidences from multiple systematic reviews on the diabetes monitoring systems and the outcomes achieved.

MATERIALS AND METHODS

Internet-based search in PubMed, EMBASE, and Cochrane was performed to identify all studies relevant to the research question. The data regarding type of intervention, type of diabetes mellitus, type of study, change in clinical parameter(s), or another relevant outcome were extracted and summarized.

RESULTS

Thirty-three out of 1,495 initially identified studies, involving more than 44,100 patients with Type 1, Type 2, or gestational diabetes for real-time or retrospective Continuous Glucose Monitoring (CGMS), Sensor Augmented Pump Therapy (SAPT), Self-monitoring Blood Glucose (SMBG), Continuous subcutaneous insulin infusion (CSII), Flash Glucose Monitoring (FGM), Closed-loop systems and telemonitoring, were included. Most of the studies observed small nominal effectiveness of DMS. In total 11 systematic reviews and 15 meta-analyses, with most focusing on patients with Type 1 diabetes (10 and 6, respectively), reported a reduction in glycated hemoglobin (HbA1c) levels from 0.17 to 0.70% after use of DMS.

CONCLUSION

Current systematic review of already published systematic reviews and meta-analyses suggests that no statistically significant difference exists between the values of HbA1c as a result of application of any type of DMS. The changes in HbA1c values, number and frequency of hypoglycemic episodes, and time in glucose range are the most valuable for assessing the appropriateness and effectiveness of DMS. Future more comprehensive studies assessing the effectiveness, cost-effectiveness, and comparative effectiveness of DMS are needed to stratify them for the most suitable diabetes patients' subgroups.

Continuous glucose monitoring: The achievement of 100 years of innovation in diabetes technology

Monitoring of glucose levels is essential to effective diabetes management. Over the past 100 years, there have been numerous innovations in glucose monitoring methods. The most recent advances have centered on continuous glucose monitoring (CGM) technologies. Numerous studies have demonstrated that use of continuous glucose monitoring confers significant glycemic benefits on individuals with type 1 diabetes (T1DM) and type 2 diabetes (T2DM). Ongoing improvements in accuracy and convenience of CGM devices have prompted increasing adoption of this technology. The development of standardized metrics for assessing CGM data has greatly improved and streamlined analysis and interpretation, enabling clinicians and patients to make more informed therapy modifications. However, many clinicians many be unfamiliar with current CGM and how use of these devices may help individuals with T1DM and T2DM achieve their glycemic targets. The purpose of this review is to present an overview of current CGM systems and provide guidance to clinicians for initiating and utilizing CGM in their practice settings.

Hypoglycemia unawareness and autonomic dysfunction in diabetes: Lessons learned and roles of diabetes technologies

Impaired awareness of hypoglycemia (IAH) is a reduction in the ability to recognize low blood glucose levels that would otherwise prompt an appropriate corrective therapy. Identified in approximately 25% of patients with type 1 diabetes, IAH has complex pathophysiology, and might lead to serious and potentially lethal consequences in patients with diabetes, particularly in those with more advanced disease and comorbidities. Continuous glucose monitoring systems can provide real-time glucose information and generate timely alerts on rapidly falling or low blood glucose levels. Given their improvements in accuracy, affordability and integration with insulin pump technology, continuous glucose monitoring systems are emerging as critical tools to help prevent serious hypoglycemia and mitigate its consequences in patients with diabetes. This review discusses the current knowledge on IAH and effective diagnostic methods, the relationship between hypoglycemia and cardiovascular autonomic neuropathy, a practical approach to evaluating cardiovascular autonomic neuropathy for clinicians, and recent evidence from clinical trials assessing the effects of the use of CGM technologies in patients with type 1 diabetes with IAH.

Advances in the management of diabetes: new devices for type 1 diabetes

Type 1 diabetes (T1D) is an autoimmune condition that affects a significant number of people worldwide, with higher prevalence in white European populations. The condition is responsible for a high burden of microvascular complications, especially when poorly controlled. The condition is also burdensome on the patient and has major psychosocial and occupational impacts. It requires lifelong frequent blood glucose monitoring and regular insulin injections. Important technological advances in the management of T1D have occurred in recent years. These include the advent of new glucose testing devices using interstitial glucose, and new insulin delivery devices. These technologies may improve quality of life, and glucose management in this condition. This review aims to outline the current advances in the management of T1D for the general physician, with a particular focus on new technologies.

Use of professional-mode flash glucose monitoring, at 3-month intervals, in adults with type 2 diabetes in general practice (GP-OSMOTIC): a pragmatic, open-label, 12-month, randomised controlled trial

BACKGROUND

Continuous glucose monitoring, either real-time (personal) or retrospective (professional mode), can identify day-to-day glucose profiles to guide management decisions for people with type 2 diabetes. We aimed to examine the effects of professional-mode flash glucose monitoring, done at 3-month intervals, in adults with type 2 diabetes in general practice.

METHODS

We did a pragmatic, two-arm, open label, 12-month, individually randomised controlled trial (GP-OSMOTIC) in 25 general practices in Victoria, Australia. Eligible participants were adults aged 18-80 years, with type 2 diabetes diagnosed for at least 1 year and HbA_1c at least 5·5 mmol/mol (0·5%) above their target in the past month despite being prescribed at least two non-insulin glucose-lowering drugs, insulin, or both (with therapy stable for at least 4 months). We randomly assigned participants (1:1) to either use of a professional-mode flash glucose monitoring system or usual clinical care (control). All participants wore the flash glucose monitoring sensor at baseline, and electronic randomisation (using permuted block sizes of four and six, and stratified by clinic) was done after the sensor was attached. Masking of participants and treating clinicians to group allocation was not possible, but the study statistician was masked to allocation when analysing the data. At baseline, and 3, 6, 9, and 12 months, participants in the flash glucose monitoring group wore the professional-mode flash glucose monitoring sensor for 5-14 days before their general practice visit. The sensor recorded interstitial glucose concentrations every 15 min, but the glucose data were not available to the participant until their general practice visit, where the sensor output would be uploaded to a computer by the health professional and discussed. Control group participants wore the sensor at baseline and at 12 months for data analysis only, and had usual care visits every 3 months. The primary outcome was the between-group difference in mean HbA_1c at 12 months. Secondary outcomes were the between-group differences in: mean percentage time in target glucose range (4-10 mmol/L), based on ambulatory glucose profile data at 12 months; mean diabetes-specific distress (assessed with the Problem Areas In Diabetes [PAID] scale) at 12 months; and mean HbA_1c at 6 months. Analysis was done by intention to treat. This trial is registered at the Australian and New Zealand Clinical Trials Registry, ACTRN12616001372471.

FINDINGS

Between Oct 4, 2016, and Nov 17, 2017, we randomly assigned 299 adults: 149 to flash glucose monitoring and 150 to usual care. At 6 months, HbA_1c was lower in the flash glucose monitoring group than in the usual care group (difference -0·5%, 95% CI -0·8% to -0·3%; p=0·0001). However, at 12 months (primary outcome), there was no significant between-group difference in estimated mean HbA_1c (8·2% [95% CI 8·0 to 8·4] for flash glucose monitoring vs 8·5% [8·3 to 8·7] for usual care; between-group difference -0·3%, 95% CI -0·5 to 0·01; [66 mmol/mol, 95% CI 64 to 68 vs 69 mmol/mol, 67 to 72; between-group difference -3·0, 95% CI -5·0 to 0·1]; p=0·059). Mean percentage time spent in target glucose range at 12 months was 7·9% (95% CI 2·3 to 13·5) higher in the flash glucose monitoring group than in the usual care group (p=0·0060). Diabetes-specific distress PAID scores were unchanged at 12 months (between-group difference -0·7, 95% CI -3·3 to 1·9; p=0·61). No episodes of severe hypoglycaemia or treatment-related deaths were reported. One participant died during the study from causes unrelated to the intervention (following complications post-myocardial infarction with multiple comorbidities).

INTERPRETATION

Professional-mode flash glucose monitoring in adults with type 2 diabetes in general practice did not improve the primary outcome of HbA_1c at 12 months or diabetes-specific distress compared with usual care, but did improve time in target glucose range at 12 months and HbA_1c at 6 months. Our findings suggest that professional-mode flash glucose monitoring can be implemented in a pragmatic primary care environment. Although there was no change in HbA_1c at 12 months, the improved time in target range might reflect the potential of the technology to support personalised clinical care by providing insights into glycaemic profiles for some people with type 2 diabetes.

FUNDING

National Health and Medical Research Council of Australia, Sanofi Australia, and Abbott Diabetes Care.

Measurement of Salivary Adrenal-Specific Androgens as Biomarkers of Therapy Control in 21-Hydroxylase Deficiency

BACKGROUND

Monitoring of hormonal control represents a key part of the management of congenital adrenal hyperplasia (CAH). Monitoring strategies remain suboptimal because they rely on frequent blood tests and are not specific for adrenal-derived hormones. Recent evidence suggests the crucial role of adrenal-specific 11-oxygenated-C19 androgens in the pathogenesis of CAH.

OBJECTIVE

To establish a correlation between plasma and salivary adrenal-specific androgens in CAH as a noninvasive monitoring strategy.

DESIGN

This prospective cross-sectional study recruited patients between 2015 and 2018.

SETTING

Multicenter study including 13 tertiary centers in the United Kingdom.

PARTICIPANTS

Seventy-eight children with CAH and 62 matched healthy controls.

METHODS

Using liquid chromatography-tandem mass spectrometry, plasma and salivary concentrations of five steroids were measured: 17-hydroxyprogesterone (17OHP), androstenedione (A4), testosterone (T), 11-hydroxyandrostenedione (11OHA4), and 11-ketotestosterone (11KT). The correlation between plasma and salivary steroids was analyzed to assess their use in clinical practice.

RESULTS

Strong correlations between plasma and salivary steroid concentrations in patients with CAH were detected: 17OHP (rs = 0.871; P < 0.001), A4 (rs = 0.931; P < 0.001), T (rs = 0.867; P < 0.001), 11OH4A (rs = 0.876; P < 0.001), and 11KT (rs = 0.944; P < 0.001). These results were consistent for patient subgroups based on sex and age. Analysis of patient subgroups based on 17OHP concentrations established clear correlations between plasma and salivary concentrations of the adrenal-specific androgen 11KT.

CONCLUSIONS

The current study identified tight correlations between plasma and saliva for the adrenal-derived 11-oxygenated C19 androgen 11KT, as well as 17OHP and A4, which are widely used for monitoring treatment in CAH. This combination of steroid hormones will serve as an improved noninvasive salivary test for disease monitoring in patients with CAH.

Development of a Deep Learning Model for Dynamic Forecasting of Blood Glucose Level for Type 2 Diabetes Mellitus: Secondary Analysis of a Randomized Controlled Trial

BACKGROUND

Type 2 diabetes mellitus (T2DM) is a major public health burden. Self-management of diabetes including maintaining a healthy lifestyle is essential for glycemic control and to prevent diabetes complications. Mobile-based health data can play an important role in the forecasting of blood glucose levels for lifestyle management and control of T2DM.

OBJECTIVE

The objective of this work was to dynamically forecast daily glucose levels in patients with T2DM based on their daily mobile health lifestyle data including diet, physical activity, weight, and glucose level from the day before.

METHODS

We used data from 10 T2DM patients who were overweight or obese in a behavioral lifestyle intervention using mobile tools for daily monitoring of diet, physical activity, weight, and blood glucose over 6 months. We developed a deep learning model based on long short-term memory-based recurrent neural networks to forecast the next-day glucose levels in individual patients. The neural network used several layers of computational nodes to model how mobile health data (food intake including consumed calories, fat, and carbohydrates; exercise; and weight) were progressing from one day to another from noisy data.

RESULTS

The model was validated based on a data set of 10 patients who had been monitored daily for over 6 months. The proposed deep learning model demonstrated considerable accuracy in predicting the next day glucose level based on Clark Error Grid and ±10% range of the actual values.

CONCLUSIONS

Using machine learning methodologies may leverage mobile health lifestyle data to develop effective individualized prediction plans for T2DM management. However, predicting future glucose levels is challenging as glucose level is determined by multiple factors. Future study with more rigorous study design is warranted to better predict future glucose levels for T2DM management.

Acceptability of Continuous Glucose Monitoring in Elderly Diabetes Patients Using Multiple Daily Insulin Injections

Background: Integrative diabetes care is lifelong and encompasses patient-reported outcome measures (PROMs). Understanding older adults' perceptions of continuous glucose monitoring (CGM) benefits and potential annoyances is important to assist with introducing it in this population. The aim of this study was to investigate PROMs and effectiveness of CGM introduction in elderly multiple daily injection (MDI) users with well-controlled diabetes. Methods: MDI-treated elderly (n = 25, mean age 67.6 ± 1.2 years, HbA1c = 7.1% ± 0.2%, 56% type 1 diabetes) were instructed to use a CGM device. PROMs were measured by questionnaires. CGM-recorded glycemic control metrics (time in range [TIR], time in hypoglycemia, coefficient of variation [CV]) were compared during blinded CGM and real-time CGM. Results: Satisfaction with CGM use was high; with perceived advantages as "very common" (4.22 out of 5) and annoyances as "modest" (1.82 out of 5). In total 95% of participants expressed improved sense of security with CGM use, 68% reported of improved sleep quality, and 82% were willing to use a CGM device after finishing the study protocol. CGM introduction did not impose additional diabetes-related distress (measured by the Problem Areas in Diabetes questionnaire). Significant improvements in TIR (3.9-10.0 mmol/L) (66.3% ± 2.6% vs. 76.9% ± 3.0%; P < 0.001), time in hypoglycemia (9.6% ± 2.1% vs. 5.2% ± 1.1%; P = 0.041), as well as reduced glycemic variability (%CV) (37.3 ± 11.1 vs. 32.9 ± 6.3; P < 0.001) were observed. Conclusion: Introduction of CGM in elderly patients with well-controlled diabetes resulted in high satisfaction without imposing additional diabetes distress. Furthermore, an added benefit in glucose control with stabilizing glycemia in target range was proven.

Tolerability and acceptability of real-time continuous glucose monitoring and its impact on diabetes management behaviours in individuals with Type 2 Diabetes - A pilot study

INTRODUCTION

Emerging evidence suggests us of real-time continuous glucose monitoring systems (RT-CGM), can assist to improve glucose control in Type 2 Diabetes (T2D) treatment, however the impact of these devices on patients' stress levels and behaviour is poorly understood. This study aimed to examine the effects of RT-CGM on tolerance and acceptability of device wear, stress and diabetes management and motivation to change.

METHODS

Twenty adults (10 men, 10 women) with T2D (aged 60.6 ± 8.4 years, BMI 34.2 ± 4.7 kg/m²), were randomised to a low-carbohydrate lifestyle plan whilst wearing a RT-CGM or an 'offline-blinded' (Blinded-CGM) monitoring system continuously for 12 weeks. Outcomes were glycaemic control (HbA1c), weight (kg) perceived stress scale (PSS), CGM device intolerance, acceptability, motivation to change and diabetes management behaviour questionnaires.

RESULTS

Both groups experienced significant reductions in body weight (RT-CGM -7.4 ± 4.5 kg vs. Blinded-CGM -5.5 ± 4.0 kg) and HbA1c (-0.67 ± 0.82% vs. -0.68 ± 0.74%). There were no differences between groups for perceived stress (P = 0.47) or device intolerance at week 6 or 12 (both P > 0.30). However, there was evidence of greater acceptance of CGM in the RT-CGM group at week 12 (P = 0.03), improved blood glucose monitoring behaviour in the RT-CGM group at week 6 and week 12 (P ≤ 0.01), and a significant time x group interaction (P = 0.03) demonstrating improved diabetes self-management behaviours in RT-CGM.

CONCLUSION

This study provides preliminary evidence of improved behaviours that accompany RT-CGM in the context of diabetes management and glucose self-monitoring. RT-CGM may provide an alternative approach to glucose management in individuals with T2D without resulting in increased disease distress.

Application and Utility of Continuous Glucose Monitoring in Pregnancy: A Systematic Review

Background: In the past decade, continuous glucose monitoring (CGM) has been proven to have similar accuracy to self-monitoring of blood glucose (SMBG) and yet provides better therapy optimization and detects trends in glucose values due to higher frequency of testing. Even though the feasibility and utility of CGM has been proven successfully in Type 1 and 2 diabetes, there is a lack of knowledge of its application and effectiveness in pregnancy, especially in gestational diabetes mellitus (GDM). In this review, we aimed to summarize and evaluate the updated scientific evidence on the application of CGM in pregnancies complicated with GDM. Methods: A search using keywords related to CGM and GDM on PubMed was conducted and articles were filtered based on full text, year of publication (Jan 1998-Dec 2018), human subject studies, and written in English. Reviews and duplicate articles were removed. A final total of 29 articles were included in this review. Results: In terms of maternal and fetal outcomes, inconsistent evidence was reported. Among GDM patients using CGM and SMBG, two randomized controlled trials (RCTs) found no significant differences in macrosomia, birth weight (BW), and gestational age (GA) at delivery between these two groups, while one prospective cohort found a lower incidence of cesarean section and macrosomia in CGM use subjects. Furthermore, CGM use was consistently found to have increased detection in dysglycemia and glycemic variability compared to SMBG. In terms of clinical utility, CGM use led to more treatment adjustments and lower gestational weight gain (GWG). Lastly, CGM use showed higher postprandial glucose levels in GDM-complicated pregnancies than in normal pregnancies. Conclusion: Current updated evidence suggests that CGM is superior to SMBG among GDM pregnancies in terms of detecting hypoglycemic and hyperglycemic episodes, which might result in an improvement of maternal and fetal outcomes. In addition, CGM detects a wider glycemic variability in GDM mothers than non-GDM controls. Further research with larger sample sizes and complete pregnancy coverage is needed to explore the clinical utility such as screening and predictive values of CGM for GDM.

The Effectiveness of Continuous Glucose Monitoring in Patients with Type 2 Diabetes: A Systematic Review of Literature and Meta-analysis

BACKGROUND

Continuous glucose monitoring (CGM) provides glucose trend information that can be used to guide treatment and motivate patients with diabetes. Currently, the evidence on effectiveness of CGM in patients with type 2 diabetes is debatable. We aim to provide a systematic review and meta-analysis to synthesize current evidence of effectiveness of CGM in adults with type 2 diabetes.

MATERIALS AND METHODS

Cochrane, Embase, PubMed, and Web of Science were searched to include all studies that reported effectiveness of CGM in terms of HbA1c in adults aged 18 and older, with type 2 diabetes, on any treatment for diabetes. Heterogeneity (I²) was used to determine the variability between studies. All data were analyzed using Review Manager 5.3 software.

RESULTS

Seven randomized controlled trials and three cohort studies, involving 1384 patients for real-time CGM (RT-CGM) and professional CGM (P-CGM) and 4902 patients for flash glucose monitoring (FGM), were included. RT-CGM and P-CGM were associated with a modest but statistically significant reduction in HbA1c of 0.20% (95% confidence interval [CI] -0.31 to -0.09) compared with control. Patients who received FGM had a nonsignificant reduction of 0.02% (95% CI -0.07 to 0.04) compared with control. The meta-analysis indicated a low heterogeneity between studies.

CONCLUSION

Our analysis of current evidence suggests that RT-CGM and P-CGM are effective in improving HbA1c in adults with type 2 diabetes. Due to insufficient evidence, it is premature to form conclusions on the effectiveness of FGM. Future multicenter trials accessing the effectiveness of CGM as well as safety and cost-effectiveness may be necessary.