Continuous Glucose Monitoring Devices Research Articles

Development of a Diabetes Navigator Toolkit to Support Diabetes Technology Uptake: The IMPACT Toolkit

Advanced diabetes technologies (ADTs), including continuous glucose monitoring devices, insulin pumps, and automated insulin delivery systems, improve glycemic control in type 1 diabetes but are underutilized, particularly in minority and underserved populations. This article reports on a qualitative study to develop a diabetes toolkit. Participants identified barriers to the use of ADTs and proposed solutions to these barriers, which were then incorporated into a diabetes toolkit designed for use by a diabetes navigator or other diabetes care team members seeking to improve the uptake and sustained use of ADTs.

Continuous peri-operative glucose monitoring in noncardiac surgery: A systematic review.

Glucose management is an important component of peri-operative care. The usefulness of continuous glucose monitoring (CGM) in noncardiac surgery is uncertain. To systematically assess the glycaemic profile and clinical outcome of patients equipped with a CGM device during the peri-operative period in noncardiac surgery. Systematic review. Electronic databases were systematically searched up to July 2024. Any studies performed in the peri-operative setting using a CGM device were included. Closed-loop systems also administering insulin were excluded. Analyses were stratified according to diabetes mellitus status and covered intra-operative and postoperative data. Outcomes included glycaemic profile (normal range 3.9 to 10.0 mmol l-1), complications, adverse events, and device dysfunction. Twenty-six studies (1016 patients) were included. Twenty-four studies were not randomised, and six used a control arm for comparison. In bariatric surgery, diabetes mellitus patients had a mean ± SD glucose of 5.6 ± 0.5 mmol l-1, with 15.4 ± 8.6% time below range, 75.3 ± 5.5% in range and 9.6 ± 6.7% above range. During major surgery, diabetes mellitus patients showed a mean glucose of 9.6 ± 1.1 mmol l-1, with 9.5 ± 9.1% of time below range, 56.3 ± 13.5% in range and 30.6 ± 13.9% above range. In comparison, nondiabetes mellitus patients had a mean glucose of 6.4 ± 0.6 mmol l-1, with 6.7 ± 8.4% time below range, 84.6 ± 15.5% in range and 11.2 ± 4.9% above range. Peri-operative complications were reported in only one comparative study and were similar in CGM and control groups. Device-related adverse events were rare and underreported. In 9.21% of cases, the devices experienced dysfunctions such as accidental removal and issues with sensors or readers. Due to the limited number of controlled studies, the impact of CGM on postoperative glycaemic control and complications compared with point-of-care testing remains unknown. Variability in postoperative glycaemic profiles and a device dysfunction rate of 1 in 10 suggest CGM should be investigated in a targeted surgical group.

Evaluation of the Effects of Non-Invasive Auricular Acupoint Stimulation on Postprandial Blood Glucose Regulation using a CGM Device

Background: Postprandial blood glucose regulation is critical for diabetes management. Non-invasive auricular acupoint stimulation may influence metabolic functions through the autonomic nervous system. This study aimed to evaluate its effects on postprandial glucose regulation using Continuous Glucose Monitoring (CGM). Methods: Thirteen healthy Japanese adults (10 males, 3 females) had 1.5 mm gold beads applied to six acupoints. Glucose levels were monitored over seven days using CGM. Key metrics included postprandial peak, 2-hour glucose levels, time to peak, and normalization time. Results: Auricular acupoint stimulation reduced time to glucose peak after breakfast (-14.6 min, p = 0.01) and glucose normalization time for breakfast and lunch combined (-20.8 min, p = 0.04). A significant reduction in 2-hour postprandial glucose was observed after lunch (-10.8 mg/dL, p = 0.03). No significant effect was found on peak glucose levels. Conclusion: Auricular acupoint stimulation may promote postprandial glucose normalization, particularly after breakfast and lunch, and could serve as a complementary approach to glucose management.

Exploring the perceptions and experiences of diabetes management and self-regulation in young adults using a continuous glucose monitoring device

Young adults face many pressures as they start being independent and responsible for their own actions and decisions. The use of continuous glucose monitoring has been shown to improve medical outcomes in diabetes management, but the mechanism of these improvements needs further investigation. This study aimed to examine the self-regulatory experiences and behaviours of a group of young adults using continuous glucose monitoring to manage type 1 diabetes. An exploratory qualitative approach was taken, using six virtual semi-structured interviews with young adults living with type 1 diabetes and using continuous glucose monitoring. A thematic analysis was used to identify themes from the gathered data. In this study, three themes demonstrated reciprocal determinism in that the observation of the continuous glucose monitoring results led to changes in the behaviours of the participants. The concepts of feedback and feedforward were also evident in the information provided by continuous glucose monitoring and the adjustment of the participants to achieve their personal blood glucose goals. The results of this study thus support the fact that self-regulation of those living with type 1 diabetes can be improved using continuous glucose monitoring as a tool for observation of blood glucose fluctuations and can, as a result, lead to changes in diabetes management behaviours and health outcomes. Continuous glucose monitoring provides the opportunity to observe the consequences of diabetes management behaviours, which activates the self-regulation processes of feedback and feedforward. This process has the potential to improve diabetes management behaviours in this vulnerable group.

Technology and Continuous Glucose Monitoring Access, Literacy, and Use Among Patients at the Diabetes Center of an Inner-City Safety-Net Hospital: Mixed Methods Study.

Despite the existence of an increasing array of digital technologies and tools for diabetes management, there are disparities in access to and uptake and use of continuous glucose monitoring (CGM) devices, particularly for those most at risk of poor diabetes outcomes. This study aims to assess communication technology and CGM access, literacy, and use among patients receiving treatment for diabetes at an inner-city safety-net hospital. A survey on digital technology ownership and use was self-administered by 75 adults with type 1 and type 2 diabetes at the diabetes clinic of Grady Memorial Hospital in Atlanta, Georgia. In-depth interviews were conducted with 16% (12/75) of these patient participants and 6 health care providers (HCPs) to obtain additional insights into the use of communication technology and CGM to support diabetes self-management. Most participants were African American (66/75, 88%), over half (39/75, 52%) were unemployed or working part time, and 29% (22/75) had no health insurance coverage, while 61% (46/75) had federal coverage. Smartphone ownership and use were near universal; texting and email use were common (63/75, 84% in both cases). Ownership and use of tablets and computers and use and daily use of various forms of media were more prevalent among younger participants and those with type 1 diabetes, who also rated them as easier to use. Technology use specifically for diabetes and health management was low. Participants were supportive of a potential smartphone app for diabetes management, with a high interest in such an app helping them track blood sugar levels and communicate with their care teams. Younger participants showed higher levels of interest, perceived value, and self-efficacy for using an app with these capabilities. History of CGM use was reported by 56% (42/75) of the participants, although half (20/42, 48%) had discontinued use, above all due to the cost of the device and issues with its adhesive. Nonuse was primarily due to not being offered CGM by their HCP. Reasons given for continued use included convenience, improved blood glucose control, and better tracking of blood glucose. The in-depth interviews (n=18) revealed high levels of satisfaction with CGM by users and supported the survey findings regarding reasons for continued use. They also highlighted the value of CGM data to enhance communication between patients and HCPs. Smartphone ownership was near universal among patients receiving care at an inner-city hospital. Alongside the need to address barriers to CGM access and continued use, there is an opportunity to leverage increased access to communication technology in combination with CGM to improve diabetes outcomes among underresourced populations.

6521 Continuation of Continuous Glucose Monitors in Hospitalized Diabetic Patients Decreased the Incidence of Hypoglycemia

Abstract Disclosure: C.E. DeClue: None. S. Bao: None. Objective: Glycemic control improves patient outcomes in hospitalized patients, and this is generally achieved by monitoring point-of-care (POC) capillary glucose levels. In the outpatient setting, continuous glucose monitoring (CGM) devices have shown improved glycemic control in diabetic patients, but their evidence in hospitalized patients is lacking. Methods: To evaluate CGM accuracy and safety of use in the inpatient setting, 567 consults were analyzed in a single-center inpatient diabetes service between November 2022 and January 2023. Patients were included if managed with multiple daily injections or insulin pump therapy and separated into four groups based on CGM continuation and type of diabetes. POC glucose and incidence of hypoglycemia were recorded over 72 hours from the time of consultation. Results: Forty-six Type-1 (T1DM) and 72 Type-2 (T2DM) diabetic patients were included in this study, with average hemoglobin A1c of 8.6% and 9.0%, respectively. Both diabetic groups showed an average POC glucose that was not statistically different based on CGM continuation (185 mg/dL for T1DM and 187 mg/dL for T2DM continued on CGM versus 183 mg/dL for T1DM and 188 mg/dL for T2DM not using CGM). However, only 2 of the 18 T1DM patients continued on CGM experienced hypoglycemia, whereas 17 of the 28 T1DM patients not using CGM experienced at least 1 hypoglycemic event. Similarly, only 2 of the 20 T2DM patients continued on CGM experienced hypoglycemia, whereas 13 of the 52 patients not using CGM experienced at least 1 hypoglycemic event. Additionally, less glucose variability was observed in both T1DM and T2DM patients continued on CGM (average standard deviation of 64 mg/dL and 55 mg/dL, respectively) compared to those not using CGM (average standard deviation of 84 mg/dL and 62 mg/dL, respectively). Conclusion: CGM has great potential to improve patient care and nursing workload in the hospital, but the safety and accuracy are not yet well-established. In this study, there seemed to be a statistically insignificant trend to less glycemic variability for CGM users despite no glycemic difference on average POC testing. Importantly, significantly fewer hypoglycemic events were observed in patients continued on CGM devices regardless of type of diabetes or baseline glycemic control. This study adds further evidence to the growing body of work supporting improved safety of CGM utilization in hospitalized diabetic patients. Presentation: 6/1/2024

9376 Successful Implementation Of Continuous Glucose Monitoring In An Internal Medicine Residency Clinic

Abstract Disclosure: A.E. Manov: None. A. Donepudi: None. A.S. Dhaliwal: None. J. Tam: None. Y. Badi: None. M. Sharaf: None. R. Haddadin: None. A. Wang: None. K. Mefferd: None. Abstract In this 3-year retrospective observational cohort study, data from fifty-one patients with type 1 or type 2 Diabetes Mellitus (DM), receiving a minimum of 3-to 4 insulin injections per day, and self-monitoring their blood glucose (SMBG) 4-times a day, were derived from our internal medicine residency primary care clinic. The patients were equipped with a Continuous Glucose Monitoring (CGM) device that shared 24-hour glucose data with the clinic. They were assigned to members of our CGM team which included internal medicine or transitional year medical residents who functioned under the supervision of a board-certified endocrinologist. In consultation with our endocrinologist, the resident assessed the patients' glucose management data and adjusted their treatment regimens bi-weekly by calling the patients, and monthly by seeing them in the clinic. The rationale of the study which was confirmatory was to show that in the Internal Medicine Residency clinic in a project governed by the medicine residents, the CGM will lead to improvement in diabetes mellitus control compared to SMBG and this can be done not only in specialized endocrine clinics. The inclusion criteria for selecting the patients were as follows: Age-18-90, diagnosis of Type 1 or type 2 Diabetes Mellitus using 3-4 Injections of Insulin per day +/- other per oral antidiabetic medications and SMBG 4 times a day, HbA1c above 7% while using SMBG, patients who can use the CGM device and receive their primary medical care in our Internal medicine Residency clinic.To assess for differences in A1C, TIR, average blood glucose, percent of time spent in mild hypoglycemia, and percent of time spent in pronounced hypoglycemia, five paired t-tests were conducted. A Bonferroni correction set the new accepted alpha level at 0.01. Significant results from the study include a reduction of HbA1c from 9.9% to 7.6%, average blood glucose decrement from 242 mg/dL to 169 mg/dl, reduction of the incidence of mild hypoglycemia below 70 mg/dl to 54 mg/dl from 4.68% to 0.76% per day, and more pronounced hypoglycemia with glucose less than 54 mg/dl from 3.1% per day to 0.2% per day. We observed a significant increase in the time in the range of blood glucose from 33% to 67% per day. Furthermore, 9.5% of the patients in this study eventually discontinued daily insulin injections and continued treatment with oral diabetic medications with or without the use of injectable GLP-1 receptors once a week.This study affirms that CGM devices significantly improved glycemic control compared to SMBG, supporting its efficacy in optimizing glycemic control in real-world clinical practice. The results imply this can be accomplished in internal medicine residency clinics and not exclusively in specialized endocrine clinics. As far as we know, this is the first study of this kind in a residency clinic in the USA. Presentation: 6/1/2024

12596 Characterizing Glycemic Variability In Novel Subphenotypes Of Individuals At Elevated Risk For Type 2 Diabetes Using Continuous Glucose Monitoring

Abstract Disclosure: A.J. Kretowski: None. P. Konopka: None. A. Janucik: None. A. Citko: None. A. Paszko: None. M. Klak: None. A. Golonko: None. A. Szklaruk: None. L. Szczerbinski: None. Background: The heterogeneity among individuals at elevated risk for Type 2 Diabetes (T2D) recently has led to the identification of six subphenotypes, each with distinct risks for developing T2D, its complications, and mortality. Our study leveraged Continuous Glucose Monitoring (CGM) to offer a detailed characterization of these subphenotypes, aiming to uncover differences in glycemic variability and control. Methods: CGM data from 616 individuals without diabetes, from the Polish Registry of Diabetes (PolReD) study, classified into six clusters, were analyzed. The PolReD used Freestyle Libre 2 (Abbott) as the CGM device. CGM-derived measures of glucose control and glucose variability were calculated using the iglu R package. We utilized Analysis of Variance (ANOVA) and Analysis of Covariance (ANCOVA), adjusting for age and sex, to identify significant differences in CGM parameters across the clusters. Results: Our analysis identified significant differences in several CGM-derived parameters among the clusters, notably in the Glycemic Risk Assessment Diabetes Equation (GRADE), Standard Deviation of weekly glucose values (SDw), Mean Amplitude of Glycemic Excursions (MAGE), Maximum glucose value, Glucose range, and Mean Absolute Glucose (MAG). Clusters 3 and 5, characterized by beta-cell dysfunction and high insulin resistance respectively, and associated with the highest risk of T2D, exhibited the greatest glucose variability, with elevated risk for glycemic excursions. In contrast, Cluster 4, indicative of a metabolically healthy obesity profile with a low risk of T2D, demonstrated the most stable glycemic control and the lowest variability among the clusters. Conclusions: This study shows that subtypes of patients at elevated risk for T2D exhibit distinct patterns in CGM-derived parameters, indicating variations in glucose control and stability that extend beyond traditional fasting and post-challenge glucose assessments. Notably, we found that subtypes facing the highest T2D risk display increased glycemic variability, despite their differing underlying mechanisms of dysglycemia. These findings highlight the utility of CGM as a tool for identifying individuals at an increased risk of T2D, reducing the need for extensive phenotyping typically required for cluster assignment. Presentation: 6/1/2024

9391 Clinical Accuracy Of Continuous Glucose Monitoring In Post-kidney Transplant Patients With Type 2 Diabetes

Abstract Disclosure: Q. Aziz: None. K. Batra: None. S. Fatima: None. J. Splinter: None. A.L. Champion: None. A.M. Kumar: None. K.E. Izuora: Research Investigator; Self; Novo Nordisk. Background: Continuous glucose monitoring (CGM) devices provide real time blood glucose data to guide therapy in patients with diabetes mellitus. Diabetic nephropathy is a major complication of diabetes which can eventually lead to End Stage Renal Disease (ESRD). Kidney transplant is a treatment option for ESRD and patients who undergo kidney transplant are exposed to anti-rejection therapy, including high-dose steroids, resulting in significant fluctuations in blood glucose. Having a reliable system for monitoring blood glucose continuously, such as a CGM, can provide valuable information to guide optimal diabetes management. Objective This study aims to compare the clinical accuracy of the CGM data with the Point of Care Testing (POCT) glucose values as a reference among post kidney transplant patients with Type 2 diabetes mellitus (T2DM). Methodology This study was conducted at an academic medical center from September 2023 to January 2024, enrolling subjects ≥ 18 years, diagnosed with T2DM , admitted for kidney transplant. Following informed consent, a blinded CGM (Freestyle Libre Pro®) was applied. We collected all POCT and serum glucose values and downloaded corresponding CGM glucose data. Using matched pairs between CGM and POCT glucose values, bias and absolute relative differences (ARD) were calculated. Based on the ARD, the Clarke error grid (CEG) analysis was conducted to quantify the clinical accuracy of CGM and POCT by assigning glucose data points into 5 zones A, B, C, D, and E. Summary statistics for numeric variables included mean and standard deviation, whereas categorical variables were described as counts and proportions. All analyses were performed using SAS, 9.4 version. Results: A total of 22 subjects were analyzed after excluding one patient due to CGM malfunction. Subjects were 58±9.69 years old, and 82% were males. The mean body mass index was 30±6.41 kg/m2 and mean HbA1c was 6.7 ± 1.07%, at baseline. The mean duration of diabetes and ESRD were 19±10.6 years and 3±2.27 years respectively. Average CGM wear time was 76±24.5 hours. The CEG comparing CGM values with POCT values showed 83.79% values in zone A, 15.29% in zone B (combined =99.08%) with the Mean Absolute Relative Difference (MARD) of 13.24%. The CEG comparing CGM values with serum glucose showed 83.1% values in zone A, 16.9% in zone B (combined =100%) with the MARD of 13.10%. Conclusion: Our results indicate that CGM values are comparable to the POCT and serum glucose values in post kidney transplant patients with T2DM receiving high dose steroids. Therefore, use of CGMs should be considered as a useful tool, providing timely information to guide prompt interventions and improve outcomes in this patient population. Presentation: 6/3/2024

7296 Gestational Diabetes RT-Continuous Glucose Monitoring Users Utilized Fingerstick less in Pregnancy than Recommended Compared to Fingerstick Monitoring Alone with No Difference in A1c Outcomes

Abstract Disclosure: N.M. Ehrhardt: Advisory Board Member; Self; Bayer, Inc., Novo Nordisk, Dexcom. Grant Recipient; Self; Novo Nordisk. Research Investigator; Self; Novo Nordisk, Dexcom. P. Mandava: None. E. Fay: None. G. Abdalla: None. S. Fonda: None. Background: The Federal Drug Agency recently approved continuous glucose monitoring (CGM) use in gestational diabetes (GDM). However, self-monitoring of blood glucose (SMBG) with fingersticks is still recommended as an adjunct to CGM use. Here we report on SMBG with and without CGM and A1c, as part of a randomized controlled trial (RCT) of CGM for women with GDM. Methods: This is an RCT of 104 participants with GDM who were randomized to real-time CGM (RT-CGM) (N=48) or SMBG alone (control group; N=56). Sixty-one percent in the control group (N=34) withdrew after randomization because they desired a CGM device. Data collection was completed remotely given COVID-19 pandemic. A1c data was collected at baseline and 36 weeks gestation. Fingerstick data was collected at each of 4 study visits (2 weeks apart) until 38 weeks or delivery. All participants were advised to perform SMBG by fingerstick as instructed by their obstetric provider. This analysis is of participants who completed the study (control N=22; RT-CGM N=47). Results: The average age was 33.77 (+/- 5.26) years, 68.11% had a college degree or greater, 69.57% had an income of >$50,000, 95.65% had health insurance, 30.43% reported being Asian and 42.03% reported being white. Baseline mean A1c (+/- SD) was 5.39 (+/- 0.39) in the RT-CGM group and 5.41 (+/- 0.37) in in the control group. Mean A1c at ∼36 weeks of pregnancy was 5.44 (+/-0.43) in the RT-CGM group and 5.37 (+/- 0.44) in the control group. In the RT-CGM group, 20/47 (42.55%) provided SMBG data for ≥3 study visits, 18/47 (38.30%) had data for 1-2 visits, and 9/47 (19.15%) provided no SMBG data at all 4 visits. The mean (+/- SD) tests/day for the RT-CGM group who provided any meter data was 1.31 (+/- 1.89). In the control group, 16/22 (72.73%) provided SMBG data for ≥3 visits, 2/22 (9.09%) had data for 1-2 visits, and 4/22 (18.18%) never provided SMBG data. The mean (+/- SD) tests/day for the control group was 3.4 (+/- 0.73). For the RT-CGM group, simple correlation analyses found no association between number of visits in which fingerstick data were provided and A1c at visit 3 (r=-0.14; p=0.40) or average fingerstick tests/day and A1c at visit 3 (r=0.10; p=0.40). For the control group, there was no association between number of study visits in which fingerstick data were provided and A1c at visit 3 (r=0.38; p=0.11). However, for the control group, more fingerstick tests/day was associated with lower A1c at visit 3 (r=-0.45; p=0.07). Conclusions. Data is limited by missing data as participants did not always supply fingerstick data. Overall A1c in both groups remained stable, despite less SMBG testing in the CGM group. This suggests that SMBG data may add little in GDM management in conjunction with CGM use. More data is necessary to remove the recommended requirement for fingerstick with CGM in pregnancy. Presentation: 6/2/2024

Efficacy of continuous glucose monitoring for finding unusual causes of hyperglycemia: a clinical case

Diabetes is a chronic condition that requires constant blood glucose self-monitoring. The carbohydrate metabolism compensation is usually assessed by the level of glycated hemoglobin. But it does not always help reveal the true cause of poor glycemic control. The devices for continuous glucose monitoring allows to assess blood glucose level in real time and find unusual causes of hyper- and hypoglycemia. Achieving target glycemic levels is influen­ced by many factors: age of patients, duration of diabetes, eating habits and eating disorders, level of education, patient’s understan­ding of the diabetes course. One of the reasons for not reaching the target levels of glycemia can be hyperphagic eating disorders, such as night eating syndrome. According to the American Psychiatric Association classification, night eating syndrome belongs to the category of “Other specified eating disorders”. Diagnostic criteria in this syndrome include consumption of > 25 % of food from the daily diet after dinner or at least 2 cases per week of food consumption at night; awareness of these episodes; and at least 3 of the following: morning anorexia, uncontrollable desire to eat between dinner and sleep or at night, conviction that eating will help you fall asleep or return to sleep, insomnia and/or bad mood in the morning. The prevalence of night eating syndrome in the general population is 1.1 %, and in those who refer to metabolic surgery specialists, it is 2–20 %. The presence of night eating syndrome in diabetes adversely affects metabolic control and complicates the management of these patients, in particular, they have higher levels of HbA1c, blood pressure and body mass index compared to individuals without such eating disorder. In this case report, we describe a patient with poor glycemic control who used continuous glucose monitor and was diagnosed with night eating syndrome that helped change management and achieve normoglycemia in the evening and nighttime.

Impact of continuous glucose monitoring on emergency department visits and all-cause hospitalization rates among Medicaid beneficiaries with type 2 diabetes treated with multiple daily insulin or basal insulin therapy.

The increasing prevalence of diabetes in the United States continues to drive a steady rise in health care resource utilization, especially emergency department visits and all-cause hospitalizations, and the associated costs. To investigate the impact of continuous glucose monitoring (CGM) on emergency department visits and all-cause hospitalizations among Medicaid beneficiaries with type 2 diabetes (T2D) treated with multiple daily insulin injections (MDIs) or basal insulin therapy (BIT) in a real-world setting. In this retrospective, 12-month analysis, we used the Inovalon Insights claims dataset to evaluate the effects of CGM acquisition on emergency department visits and all-cause hospitalizations in the Managed Medicaid population. The analysis included 44,941 beneficiaries with T2D who were treated with MDIs (n = 35,367) or BIT (n = 9,574). Primary outcomes were changes in the number of emergency department visits and all-cause hospitalizations following 6 months after acquisition of CGM (post-index period) compared with 6 month prior to CGM acquisition (pre-index period). The first claim for CGM was the index date. Inclusion criteria were as follows: aged younger than 65 years, diagnosis of T2D, claims for short- or rapid-acting insulin (MDI group) or basal insulin (not rapid-acting) (BIT group), acquisition of a CGM device between January 1, 2017, and September 30, 2022, and continuous enrollment in their health plan throughout the pre-index and post-index periods. In the MDI group, all-cause inpatient hospitalization rates decreased from 3.25 to 2.29 events/patient-year (hazard ratio = 0.12; 95% CI = 0.11-0.13; P < 0.001) and emergency department visit rates decreased from 2.15 to 1.86 events/patient-year (hazard ratio = 0.52; 95% CI = 0.50-0.53; P < 0.001). In the BIT group, all-cause inpatient hospitalization rates decreased from 1.63 to 1.39 events/patient-year (hazard ratio = 0.11; 95% CI = 0.09-0.12; P < 0.001) and emergency department visit rates decreased from 1.60 to 1.43 events/patient-year (hazard ratio = 0.47; 95% CI = 0.44-0.50; P < 0.001). Acquisition of CGM is associated with significant reductions in emergency department visits and all-cause hospitalizations among people with T2D treated with MDIs or BIT.

Advances in diabetes technology within the digital diabetes ecosystem.

Ongoing innovations in glucose monitoring, insulin delivery, and telehealth technologies have created a digital diabetes ecosystem populated by connected tools and technologies that have been shown to improve clinical outcomes, lower costs, and reduce the burden of diabetes. Advances in connected continuous glucose monitoring devices, insulin pumps, and insulin pens have led to the development of automated insulin delivery systems that modulate insulin infusion based on sensor glucose data. Similar integrations of continuous glucose monitoring and connected blood glucose meter data into "smart" pens have lessened the guesswork of intensive insulin management for individuals who prefer traditional injection therapy. A growing number of health apps that can be accessed through smartphones and wearable devices provide information and advice that support individuals in adopting healthier lifestyles. The differences in features and functionality give users the ability to select the devices that best meet their unique requirements and preferences. This article reviews the most current digital diabetes technologies and discusses how the connectivity of these tools can create an overarching architecture of feedback mechanisms that monitor an individual's health status, motivate and enhance adherence to self-management, and provide advice and decision-support tools to clinicians as well as other members of the health care team to make living with diabetes more manageable.

EFFECTIVENESS OF CONTINUOUS GLUCOSE MONITORING IN UNCONTROLLED TYPE-2 DIABETICS IN TERTIARY HEALTHCARE CENTRE

Long term diabetic complications can be prevented or reduced by achieving good metabolic control, reflected by HbA1c &lt;6.5–7.0%.1-3 Glucose excursions might also contribute to the development of diabetic complications.4,5 Fear of hypoglycemia limits the ability to reach strict glycemic control, because it is usually accompanied by reluctance of the patient to intensify insulin therapy. Indeed, the goal of intensive therapy is to normalize HbA1c and control fasting and postprandial glycemia, while concurrently limiting the number and severity of hypoglycemic events. To reach tight glycemic control, frequent self- monitoring of blood glucose (SMBG) must be performed.6 SMBG devices provide the patient with accurate but discreet blood glucose levels. They do not provide trend information nor do they reflect glycemic fluctuations, which is possible by using continuous glucose monitoring (CGM) systems. Thus, implementation of strict glycemic control may be facilitated by a CGM device. This manuscript critically reviews the proposed benefits and indications of CGM and the current evidence of CGM on health outcomes in diabetic patients.

Criteria for Personalised Choice of a Continuous Glucose Monitoring System: An Expert Opinion.

Despite the growing evidence supporting the outpatient use of continuous glucose monitoring (CGM) for improving glycaemic control and reducing hypoglycaemia, there is a need for a detailed understanding of the specific features of CGM devices that best meet individual patient needs. This expert opinion, based on a comprehensive literature review and the personal perspectives of clinicians, aims to provide thehealthcare professionals (HCPs) with a comprehensive framework for selecting CGM devices. It evaluates the current state of CGM technology, categorizing features into essential features, major drivers of choice, and additional/useful features. Moreover, the practical model presented outlines a patient's journey with CGM, emphasising the importance of aligning device features with patient needs. This includes understanding the patient's lifestyle, clinical conditions, and personal preferences to optimize CGM use and improve diabetes management outcomes.

Nutrition Management in Children Less than 5 Years of Age with Glycogen Storage Disease Type I: Survey Results.

Background: Nutrition management for GSD Type I (GSDI; OMIM #232200, 232220) is complex, with the goal being to maintain euglycemia while minimizing metabolic derangements. Management guidelines were published in 2002 and 2014. However, there is limited information on the nuances of nutrition management and the unique feeding challenges of children. Methods: A REDCap survey focusing on staffing and current practices in the nutrition management of children with GSD I who were <5 years of age was sent to the metabolic dietitian's listserv and GMDI membership in 8/2023. Results: There were 21 North American respondents. In 17/21 clinics (81%), Prosobee® was the primary choice for infant formula. Dietitians used different methods to determine hourly glucose needs. Fasting recommendations ranged from 1 to 3 h, and the use of nighttime continuous feeding was common. Cornstarch was started between 6 and 12 months of age. Most clinics did not use Glycosade® for children <5 years of age. Oral motor dysfunction, gagging, and lack of interest in food were common. Continuous glucose monitoring (CGM) devices were recommended in 20 clinics (95%). Most clinics followed patients on an outpatient basis. All clinics provided a hypoglycemia management plan; however, there was wide variability in practice. Conclusion: This survey highlights the variability in the care of individuals <5 years of age with GSD I. Updated guidelines are needed to help address the unique nutrition challenges in this age group.

First experiences of using the Dexcom ONE CGM system: results from a national survey on the perception of early adopters

Introduction: The availability of increasingly accurate and high-performing Continuous Glucose Monitoring (CGM) systems today allows for the adoption of selection criteria based not only on clinical profiles but also on the preferences of people with diabetes. Methods: The “Dexcom ONE Experience” study aimed to investigate the initial user experiences with the Dexcom ONE CGM system in the real lives of people with diabetes undergoing insulin therapy, specifically early adopters (i.e., patients who first in Italy adopted Dexcom ONE CGM who have used the device for at least 30 days). Empirical evidence was collected, focusing primarily on usability, satisfaction, and impact on quality of life (QoL) of the system, through an online survey. All survey participants were insulin-treated patients, as indicated by CGM device recommendations. Results: Analysis was conducted on 300 completed surveys. 93% of respondents consider the device useful for diabetes management; 91% find it helps in more effectively managing therapy, while 88% report an improvement in health. 86% find it easy to learn how to use, and 93% plan to continue using it in the coming months. 74% believe the system to be highly reliable. The most recognized and utilized functions are data visibility on smartphones/receivers and glycaemic trend visibility. 70% of respondents express being “very or extremely satisfied” with the Dexcom ONE device experience (scoring 4/5), and 90% note a “positive or extremely positive” impact on their QoL from using the device. Conclusions: In conclusion, usability and satisfaction levels have proven to be high among early adopters of the Dexcom ONE CGM system.

Effects of Sterilization on Cellobiose Dehydrogenase and Glucose Oxidase Based Glucose Biosensors

AbstractResearch on implantable glucose biosensors is driven by the need for innovative medical devices for continuous glucose monitoring in patients with diabetes mellitus. However, biosensor sterilization is a step that is widely omitted during the process of innovation. To compare the effects of gamma irradiation and chemical treatment with ethylene oxide (carbon microarray electrodes are fabricated, functionalized with glucose oxidizing enzymes (cellobiose dehydrogenase CDH or glucose oxidase GOx), and coated with a specifically designed zwitterionic polymer prior to the sterilization step. Cyclic voltammetry in the presence of 100 mm glucose of the biosensors before and after sterilization shows that gamma irradiation with a low radiation rate (25 kGy, 260 Gy h−1) does not induce a sensor performance loss, unlike the EtO treatment. In addition, no cytotoxic by‐products are released after gamma sterilization. Based on these results obtained with both glucose oxidizing enzymes (CDH and GOx), gamma irradiation of the glucose biosensors with a low dose rate is preferable to exposure to EtO for biosensor terminal sterilization.

Impact of diverse aerobic exercise plans on glycemic control, lipid levels, and functional activity in stroke patients with type 2 diabetes mellitus.

This study aimed to assess the effects of Low-to-Moderate Intensity Continuous Training (LMICT), Moderate-Intensity Interval Training (MIIT), and Reduced-Exertion High-Intensity Training (REHIT) on blood glucose regulation, functional recovery, and lipid levels in individuals who have experienced a stroke and are diagnosed with Type 2 Diabetes Mellitus (T2DM). Forty-two T2DM stroke patients were randomly allocated to four groups: LMICT, MIIT, REHIT, and a control group (CON). Participants continuously monitored their blood glucose levels throughout the intervention using continuous glucose monitoring (CGM) devices. The study comprised two exercise intervention cycles: the first lasting from Day 3 to Day 14 and the second from Day 15 to Day 28, with the initial two days serving as contrasting periods. Primary outcomes encompassed CGM-derived blood glucose measurements, the Barthel Index (BI), Fugl-Meyer Assessment lower-extremity subscale (FMA-LE), and alterations in triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-c), and low-density lipoprotein cholesterol (LDL-c). Compared with the CON, the MIIT group showed significant improvements in mean glucose (MG), glucose standard deviation (SD), time above range (TAR), and time in range (TIR). The REHIT group exhibited significantly reduced time below range (TBR), glucose SD, and coefficient of variation (CV). Regarding lipid levels, although the REHIT group achieved a significant reduction in TG levels compared with the CON, the overall effects of LMICT, MIIT, and REHIT on lipid profiles were relatively modest. Concerning functional recovery, the REHIT group significantly improved the BI and FMA-LE. Although the short-term quantitative impact of exercise on lipid levels may be limited, both REHIT and MIIT significantly improved glycemic management and reduced glucose variability in post-stroke patients with Type 2 Diabetes Mellitus. Additionally, REHIT notably enhanced functional recovery.

A system of ODEs for representing trends of CGM signals

Diabetes Mellitus is a metabolic disorder which may result in severe and potentially fatal complications if not well-treated and monitored. In this study, a quantitative analysis of the data collected using CGM (Continuous Glucose Monitoring) devices from eight subjects with type 2 diabetes in good metabolic control at the University Polyclinic Agostino Gemelli, Catholic University of the Sacred Heart, was carried out. In particular, a system of ordinary differential equations whose state variables are affected by a sequence of stochastic perturbations was proposed and used to extract more informative inferences from the patients’ data. For this work, Matlab and R programs were used to find the most appropriate values of the parameters (according to the Akaike Information Criterion (AIC) and the Bayesian Information Criterion (BIC)) for each patient. Fitting was carried out by Particle Swarm Optimization to minimize the ordinary least squares error between the observed CGM data and the data from the ODE model. Goodness of fit tests were made in order to assess which probability distribution was best suitable for representing the waiting times computed from the model parameters. Finally, both parametric and non-parametric density estimation of the frequency histograms associated with the variability of the glucose elimination rate from blood were conducted and their representative parameters assessed from the data. The results show that the chosen models succeed in capturing most of the glucose fluctuations for almost every patient.