Continuous Glucose Monitoring System Research Articles

Advances in Type 1 Diabetes Mellitus Management in Children.

Recent advancements in the management of type 1 diabetes mellitus (T1DM) have significantly improved outcomes and quality of life for patients, particularly children. Technological innovations, such as continuous glucose monitoring (CGM) systems and insulin pump therapy, including hybrid closed-loop systems, have enhanced glycemic control by providing real-time data and automated insulin delivery. Ultrarapid-acting insulins and adjunctive pharmacotherapies, like sodium-glucose transport protein 2 (SGLT2) inhibitors and glucagon-like peptide 1 (GLP-1) receptor agonists, offer improved postprandial glucose management and reduced insulin requirements. Immunotherapy and beta-cell replacement therapies, including stem cell research and encapsulation devices, aim to preserve or restore endogenous insulin production. Digital health platforms and telemedicine have expanded access to education and support, fostering better self-management. Future directions in precision medicine, artificial intelligence, and microbiome research hold promise for personalized and potentially curative treatments. Collectively, these advances are transforming T1DM management, reducing disease burden, and enhancing the prospects for children with T1DM.

Accuracy and Feasibility of a Novel Glucose/Lactate Continuous Multi-Analyte Sensing Platform in Humans.

Continuous glucose monitoring systems (CGMs) have been commercially available since 1999. However, automated insulin delivery systems may benefit from real-time inputs in addition to glucose. Continuous multi-analyte sensing platforms will meet this area of potential growth without increasing the burden of additional devices. We aimed to generate pilot data regarding the safety and function of a first-in-human, single-probe glucose/lactate multi-analyte continuous sensor. The investigational glucose/lactate continuous multi-analyte sensor (PercuSense Inc, Valencia, California) was inserted to the upper arms of 16 adults with diabetes, and data were available for analysis from 11 of these participants (seven female; mean [SD] = age 43 years [16]; body mass index [BMI] = 27 kg/m2 [5]). A commercially available Guardian 3 CGM (Medtronic, Northridge, California) was also inserted into the abdomen for comparison. All participants underwent a meal-test followed by an exercise challenge on day 1 and day 4 of wear. Performance was benchmarked against venous blood YSI glucose and lactate values. The investigational glucose sensor had an overall mean absolute relative difference (MARD) of 14.5% (median = 11.2%) which improved on day 4 compared with day 1 (13.9% vs 15.2%). The Guardian 3 CGM had an overall MARD of 13.9% (median = 9.4%). The lactate sensor readings within 20/20% and 40/40% of YSI values were 59.7% and 83.1%, respectively. Our initial data support safety and functionality of a novel glucose/lactate continuous multi-analyte sensor. Further sensor refinement will improve run-in performance and accuracy.

Glycemic metrics in Japanese isCGM users - Analysis by diabetes type and therapy.

The FreeStyle Libre (FSL) intermittently scanned continuous glucose monitoring (isCGM) system continually measures interstitial glucose levels and provides the data to users in numerical and graphical formats that guide users in their daily diabetes self-management. Although numerous studies have demonstrated the glycemic benefits of FSL in pediatric and adult populations, few studies have characterized FSL use specifically by Japanese adults with type 1 or 2 diabetes. We utilized established CGM metrics to assess glycemic control in a large cohort of Japanese adults with type 1 and 2 diabetes. A total of 3,463 anonymized FSL users provided categorization into one of four therapy groups of interest: type 1 diabetes (n = 1,768), type 2 diabetes-multiple daily injections (MDI) (n = 612), type 2 diabetes-basal (BOI) (n = 343), and type 2 diabetes-non-insulin (NIT) (n = 740). Established CGM metrics were used to assess glycemic control. All study groups showed relatively good glycemic control. Type 1 diabetes users showed the highest glucose variability (SD, 61 mg/dL; and %CV, 40%), above the established target level (%CV ≤ 36%). type 2 diabetes-MDI and type 2 diabetes-BOI users had similar levels of glucose variability (both within target). Type 2 diabetes-NIT users had the highest mean % time in range (TIR) (84.3%) and largest percentage of users that met the target of %TIR > 70% (87.4%). In contrast, type 1 diabetes users had the lowest mean %TIR (62.6%) and the lowest percentage meeting the established %TIR target (30.5%). By utilizing CGM devices in daily diabetes care, both healthcare professionals and patients can monitor glycemic excursions and gain insights into their historical glucose control patterns.

Exploring the Continuous Glucose Monitoring in Pediatric Diabetes: Current Practices, Innovative Metrics, and Future Implications.

Continuous glucose monitoring (CGM) systems, including real-time CGM and intermittently scanned CGM, have revolutionized diabetes management, particularly in children and adolescents with type 1 diabetes (T1D). These systems provide detailed insights into glucose variability and detect asymptomatic and nocturnal hypoglycemia, addressing limitations of traditional self-monitoring blood glucose methods. CGM devices measure interstitial glucose concentrations constantly, enabling proactive therapeutic decisions and optimization of glycemic control through stored data analysis. CGM metrics such as time in range, time below range, and coefficient of variation are crucial for managing T1D, with emerging metrics like time in tight range and glycemia risk index showing potential for enhanced glycemic assessment. Recent advancements suggest the utility of CGM systems in monitoring the early stages of T1D and individuals with obesity complicated by pre-diabetes, highlighting its therapeutic versatility. This review discusses the current CGM systems for T1D during the pediatric age, established and emerging metrics, and future applications, emphasizing the critical role of CGM devices in improving glycemic control and clinical outcomes in children and adolescents with diabetes.

Glucometric parameter changes in patients with type 2 diabetes during ramadan fasting: A prospective comparative real-world study

BackgroundThis study assessed glucometric changes in Type 2 diabetes mellitus (T2DM) patients before, during, and after Ramadan fasting using an intermittently scanned continuous glucose monitoring system (isCGMS). MethodsThis prospective comparative study included T2DM patients aged 30–70 years who were receiving nonintensive insulin in Riyadh, Saudi Arabia. In addition to the baseline characteristics, glycated hemoglobin (HbA1c) and ambulatory glucose profile (AGP)-derived metric data were collected at three specific points: pre-, during-, and post-Ramadan. Self-care activities during Ramadan were evaluated using the Diabetes Self-Management Questionnaire (DSMQ). ResultsOverall, a total of 93 T2DM patients were enrolled in the study. Their mean age ±SD age was 47.9 ± 7.5 years, and 51.6 % of them were males. Compared with pre- and post-Ramadan, there was a significant decrease in HbA1c (p < 0.001 for both periods), average glucose level (p = 0.001 and p = 0.026, respectively), glucose variability (p = 0.043 and p = 0.005, respectively), and % time above the range of 181–250 mg/dL (p < 0.001 for both periods), as well as a significant increase in % time in target (70–180 mg/dL) during Ramadan (p < 0.001 for both periods). However, the % time below 54 mg/dL was slightly greater during Ramadan than both pre- and post-Ramadan (p < 0.001 and p = 0.002, respectively). Furthermore, 32.3 % reported inadequate self-care behaviors during Ramadan. ConclusionsRamadan fasting could improve glucose levels in T2DM patients who were not on intensive insulin, with a relatively low incidence of hypoglycemia.

Accuracy of a continuous glucose monitoring system applied before, during, and after an intense leg-squat session with low- and high-carbohydrate availability in young adults without diabetes.

The aim was to assess the accuracy of a continuous blood glucose monitoring (CGM) device (Abbott FreeStyle Libre 3) against capillary blood glucose measurement (BGM) before, during, and after an intense lower body strength training session in connection with high- versus low-carbohydrate breakfasts. Nine adults (22 ± 2 years) completed a strength training session (10 × 10 at 60% 1RM) twice after high-carbohydrate and twice after low-carbohydrate breakfasts. CGM accuracy versus BGM was assessed across four phases: post-breakfast, pre-exercise, exercise, and post-exercise. Overall fed state mean BGM levels were 84.4 ± 20.6mg/dL. Group-level Bland-Altman analysis showed acceptable agreement between CGM and BGM across all phases, with mean biases between -7.95 and -17.83mg/dL; the largest discrepancy was in the post-exercise phase. Mean absolute relative difference was significantly higher post-exercise compared to pre-exercise and exercise phases, for overall data and after the high-carbohydrate breakfast (all p ≤ 0.02). Clark Error Grid analysis showed 50.5-64.3% in Zone A and 31.7-44.6% in Zone B, with an increase in treatment errors during and after exercise. In this group of healthy participants undergoing strength training, CGM showed satisfactory accuracy in glucose monitoring but varied substantially between individuals compared to BGM and fails in meeting clinical criteria for diabetic monitoring. CGM could aid non-diabetic athletes by tracking glucose fluctuations due to diet and exercise. Although utilization of CGM shows potential in gathering, analyzing, and interpreting interstitial glucose for improving performance, the application in sports nutrition is not yet validated, and challenges in data interpretation could limit its adoption.

Comparison of Metabolic Control in Children and Adolescents Treated with Insulin Pumps.

While insulin pumps remain the most common form of therapy for youths with type 1 diabetes (T1DM), they differ in the extent to which they utilize data from continuous glucose monitoring (CGM) and automate insulin delivery. The aim of the study was to compare metabolic control in patients using different models of insulin pumps. This retrospective single-center study randomly sampled 30 patients for each of the following treatments: Medtronic 720G without PLGS (predictive low glucose suspend), Medtronic 640G or 740G with PLGS and Medtronic 780G. In the whole study group, we used CGM systems to assess patients' metabolic control, and we collected lipid profiles. In three groups of patients, we utilized CGM sensors (Guardian 3, Guardian 4, Libre 2 and Dexcom G6) to measure the following glycemic variability proxy values: time in range (TIR), time below 70 mg/dL (TBR), time above 180 mg/dL (TAR), coefficient of variation (CV) and mean sensor glucose. Medtronic 640G or 740G and 780G users were more likely to achieve a target time in the target range 70-180 mg/dL (≥80%) [Medtronic 720G = 4 users (13.3%) vs. Medtronic 640G/740G = 10 users (33.3%) vs. Medtronic 780G = 13 users (43.3%); p = 0.0357)] or low glucose variability [Medtronic 720G = 9 users (30%) vs. Medtronic 640G/740G = 18 users (60%) vs. Medtronic 780G = 19 users (63.3%); p = 0.0175)]. Any integration between the insulin pump and CGM was associated with better glycemic control. More advanced technologies and artificial intelligence in diabetes help patients maintain better glycemia by eliminating various factors affecting postprandial glycemia.

Auto recalibration based on dual-mode sensing for robust optical continuous glucose monitoring

Boronic acid based optical continuous glucose monitoring systems (CGMs) hold promise for long-term glucose monitoring. However, these sensors suffer drifts induced inaccuracy and external calibration. One of the reasons is the denature of boronic acid structures and optical reporters. To solve this problem, a dual-mode glucose sensing method with auto-recalibration capabilities is developed using glucose-selective diboronic acid molecule (DBA) and optical reporter alizarin red S (ARS). DBA binds ARS at a 1:2 ratio and produces distinct changes in both the absorbance (Abs) and the fluorescence (FL) spectra of ARS. Through competitive binding with DBA, glucose induces a compensatory shift in both Abs and FL signals. The two signals were demonstrated to be strongly correlated and were combined to build Abs-FL-glucose 3D calibration curves for glucose determination. The mapping relationship of two signals drift closely with both changes of DBA and ARS concentration. By ascertain the right mapping relationship, the two strongly correlated signals can alert undesirable degradation of sensing components, identify the correct calibration curve, and accurately predict glucose concentration without external calibration. The introduction and adoption of the auto-recalibrating dual-mode sensing strategy could constitute a useful development in the pursuit of next generation long-term calibration-free CGM and wearable sensors technologies with superior precision.

Clinical relevance of short-term glycemic variability in children and adolescents with type 1 diabetes: a narrative review.

In recent years, there has been growing interest in glycemic variability within the scientific community, particularly regarding its potential as an independent risk factor for diabetes-related long-term complications. This narrative review aimed to provide a comprehensive overview of short-term glycemic variability in children and adolescents with type 1 diabetes (T1D). We performed a search of published literature on the PubMed MEDLINE database using the following combination of search terms: "glycemic variability", "pediatric", "type 1 diabetes", and "children". The widespread use of continuous glucose monitoring (CGM) systems has facilitated the characterization and quantification of glycemic fluctuations. Over the years, several metrics for assessing glycemic variability have been developed. Children and adolescents with T1D often experience wide and frequent glycemic excursions due to behavioral and hormonal factors. Several studies suggest a potential link between glycemic variability and an increased risk of diabetes-related complications. Glycemic variability has become an integral aspect of the routine clinical management of youths with T1D, serving as a valuable therapeutic target. However, achieving recommended glycemic targets in this population remains challenging. Further long-term data are needed to definitively establish the role of glycemic variability in the development of complications.

Evaluation of Non-Invasive Wearable Diabetes Sensors

&lt;b&gt;Introduction&lt;/b&gt; Diabetes management has increasingly emphasised the need for continuous glucose monitoring (CGM) systems, promoting advancements in non-invasive wearable diabetes sensors. This comprehensive review explores the latest developments in this field, focusing on the types, technological advancements, and challenges associated with these devices. The review is structured into distinct sections that examine the current state and future directions of optical, electromagnetic, and transdermal sensors, along with emerging technologies in non-invasive glucose monitoring. The review examines the technological enhancements that have improved sensor accuracy and precision, ergonomic designs for increased comfort, and advancements in data analytics that integrate machine learning for predictive analytics. Comparison of the major challenges such as maintaining sensor accuracy and reliability, ensuring user compliance, safeguarding data privacy, and overcoming cost-related barriers are explored. Furthermore, the paper discusses the promising future directions like the use of innovative materials, the integration of artificial intelligence, and the importance of regulatory and ethical considerations in the development of CGM technologies. This review not only underscores the significant progress made in the field but also highlights the critical need for ongoing research to overcome existing limitations. The implications of these technologies extend beyond individual patient management to broader applications in healthcare and lifestyle monitoring, promoting crucial shift towards more personalised and accessible diabetes management solutions. &lt;b&gt;Material and Methods&lt;/b&gt; &lt;b&gt;Results&lt;/b&gt; &lt;b&gt;Conclusions&lt;/b&gt; &lt;b&gt;&lt;/b&gt; &lt;b&gt;&lt;/b&gt;

Effect of Crocus sativus Extract Supplementation in the Metabolic Control of People with Diabetes Mellitus Type 1: A Double-Blind Randomized Placebo-Controlled Trial.

61 individuals with DMT-1, mean age 48 years old (48.3 ± 14.6), 26 females (42.6%) were randomized to receive a new oral supplement in sachets containing probiotics, prebiotics, magnesium, and Crocus sativus L. extract or placebo containing probiotics, prebiotics and magnesium daily for 6 months. Glycemic control was assessed with a continuous glucose monitoring system and laboratory measurement of HbA1c and lipid profile was also examined. Blood pressure at baseline and end of intervention was also measured. Individuals were either on a continuous subcutaneous insulin infusion with an insulin pump or in multiple daily injection regimens. Diabetes distress and satiety were assessed through a questionnaire and body composition was assessed with bioelectrical impedance. At the end of the intervention, the two groups differed significantly only in serum triglycerides (p = 0.049). After 6 months of treatment, a significant reduction in the active group was observed in glycated hemoglobin (p = 0.046) and serum triglycerides (p = 0.021) compared to baseline. The other primary endpoints (glycemic control, lipid profile, blood pressure) did not differ within the groups from baseline to end of intervention, and there was no significant difference between the two groups. Diabetes distress score improved significantly only in the active group (p = 0.044), suggesting an overall improvement in diabetes disease burden in these individuals but that was not significant enough between the two groups. A probiotic supplement with saffron extract improves serum triglycerides in well-controlled people with DMT-1 and may potentially be a valuable adjunct for enhancing glycemic control.

The use of technology in type 2 diabetes and prediabetes: a narrative review.

The increasing incidence of type 2 diabetes, which represents 90% of diabetes cases globally, is a major public health concern. Improved glucose management reduces the risk of vascular complications and mortality; however, only a small proportion of the type 2 diabetes population have blood glucose levels within the recommended treatment targets. In recent years, diabetes technologies have revolutionised the care of people with type 1 diabetes, and it is becoming increasingly evident that people with type 2 diabetes can also benefit from these advances. In this review, we describe the current knowledge regarding the role of technologies for people living with type 2 diabetes and the evidence supporting their use in clinical practice. We conclude that continuous glucose monitoring systems deliver glycaemic benefits for individuals with type 2 diabetes, whether treated with insulin or non-insulin therapy; further data are required to evaluate the role of these systems in those with prediabetes (defined as impaired glucose tolerance and/or impaired fasting glucose and/or HbA1c levels between 39 mmol/mol [5.7%] and 47 mmol/mol [6.4%]). The use of insulin pumps seems to be safe and effective in people with type 2 diabetes, especially in those with an HbA1c significantly above target. Initial results from studies exploring the impact of closed-loop systems in type 2 diabetes are promising. We discuss directions for future research to fully understand the potential benefits of integrating evidence-based technology into care for people living with type 2 diabetes and prediabetes.

Accuracy and Functionality of Select Continuous Glucose Monitoring Systems Are Not Impacted by Implantable Cardioverter Defibrillator Devices.

Increasing numbers of individuals with diabetes are adopting use of continuous glucose monitoring (CGM) in their daily self-management. Many of these individuals have advanced heart disease. Implantable cardioverter defibrillator (ICD) devices can effectively reduce arrhythmic death and all-cause mortality in individuals with advanced heart disease. However, the potential impact of ICD devices on CGM system accuracy and functionality has not been well studied. This evaluation assessed whether FreeStyle Libre (FL) CGM systems can coexist and function within the same patient in the presence of wireless interference devices, including current ICD devices. Interferer sources included Wi-Fi devices, Bluetooth devices, cellular mobile devices, implantable medical devices, Bluetooth Low-Energy (BLE) devices, BLE accessory devices and BLE mobile devices, and ICD-programmer interferers. Five testing methodologies were used to evaluate the accuracy and functionality of the CGM systems when exposed to ICD functions: high-energy emergency shocking, pacing modes, anti-tachycardia pacing mode (ATP), and DC Fibber mode. All acceptance criteria and testing requirements were met for the CGM and ICD system for wireless coexistence evaluation. Our findings demonstrated that coexisting ICD devices and FL CGM systems provide safe and effective wireless communications with functional and accurate transfer of data during scenarios expected in clinical use.

Unveiling the interplay between rational, psychological and functional factors in continuous glucose monitoring early adoption: Novel evidence from the Dexcom ONE case in Italy

BackgroundThe escalating prevalence of diabetes, with its multifaceted complications, poses a pressing challenge for healthcare systems globally. In response, the advent of continuous glucose monitoring (CGM) systems, offering technological solutions for daily diabetes management, presents significant opportunities. However, the widespread adoption faces several barriers, linked both to the technological configuration of the devices and to the psychological dimension of patients. Therefore, this study aims to apply and test a theoretical model that investigates the antecedents of the intention to use Continuous Glucose Monitoring systems.MethodsThe research model was built to unveil the impacts of psychological factors, functional components and rational constructs derived from the Technology Acceptance Model (TAM) on CGM systems sustained adoption. To ensure the comparability of results, we have collected data from people who had used Dexcom ONE Dexcom (San Diego, CA) for the first time for at least one month. Employing Structural Equation Modelling (SEM) techniques, the hypothesized relationships among constructs were assessed.ResultsThe analyses confirmed the positive correlation of rational factors to the Intention to Use. Subjective Norm, intended as the physicians’ influence, is positively correlated with the Perceived Usefulness. Trend Arrows, albeit being negatively correlated with Perceived Usefulness, have a positive correlation on Perceived Ease Of Use, reinforcing its mediating effect towards Perceived Usefulness. Among psychological factors, Trust in the CGM technology positively correlates with Intention to Use. Health Literacy is negatively correlated to the Intention to Use.ConclusionsThese findings contribute to theoretical and managerial understanding, providing recommendations to enhance the adoption of CGM systems like Dexcom ONE.

1056-P: Cost-Effectiveness of the MiniMed 780G System vs. Multiple Daily Injections (MDI) Used with the Dexcom G6 Continuous Glucose Monitoring (CGM) System

1056-P: Cost-Effectiveness of the MiniMed 780G System vs. Multiple Daily Injections (MDI) Used with the Dexcom G6 Continuous Glucose Monitoring (CGM) System

A Love Letter To My Wound Care Friends: Collaborating To Care For The ‘Ton’ Of People With Type 2 Diabetes

In this ‘Open Letter’, the author contends that continuous glucose monitoring (CGM) systems are a powerful tool to support improved health outcomes in people living with diabetes. However, through personal observations amongst people with diabetes that she supports in clinical practice, she believes that CGM is both under-accessed and under-utilized/under-actioned upon. In this letter, she appeals to other health-care providers working in this area for help in solving this problem, and working collectively towards optimizing the use of CGM.

Recommendations on the use of the flash continuous glucose monitoring system in hospitalized patients with diabetes in Latin America

BackgroundContinuous glucose monitoring can improve glycemic control for hospitalized patients with diabetes, according to current evidence. However, there is a lack of consensus-established recommendations for the management of hospitalized patients with diabetes using flash continuous glucose monitoring system (fCGM) in Latin America. Therefore, this expert consensus exercise aimed to establish guidelines on the implementation of fCGM in the management of hospitalized patients with diabetes in Latin America.MethodsThe modified Delphi method was applied on a panel of nine specialists, establishing consensus at 80%. A twenty-two-question instrument was developed to establish recommendations on the use of fCGM in hospitalized patients living with diabetes.ResultsBased on consensus, experts recommend the use of fCGM in hospitalized patients with diabetes starting at admission or whenever hyperglycemia (> 180 mg/dl) is confirmed and continue monitoring throughout the entire hospital stay. The recommended frequency of fCGM scans varies depending on the patient's age and diabetes type: ten scans per day for pediatric patients with type 1 and 2 diabetes, adult patients with type 1 diabetes and pregnant patients, and seven scans for adult patients with type 2 diabetes. Different hospital services can benefit from fCGM, including the emergency room, internal medicine departments, intensive care units, surgery rooms, and surgery wards.ConclusionsThe use of fCGM is recommended for patients with diabetes starting at the time of admission in hospitals in Latin America, whenever the necessary resources (devices, education, personnel) are available.

Continuous Glucose Monitoring and Recreational Scuba Diving in Type 1 Diabetes: Head-to-Head Comparison Between Free Style Libre 3 and Dexcom G7 Performance.

Background: Scuba diving was previously excluded because of hypoglycemic risks for patients with type 1 diabetes mellitus(T1DM). Specific eligibility criteria and a safety protocol have been defined, whereas continuous glucose monitoring (CGM) systems have enhanced diabetes management. This study aims to assess the feasibility and accuracy of CGM Dexcom G7 and Free Style Libre 3 in a setting of repetitive scuba diving in T1DM, exploring the possibility of nonadjunctive use. Material and Methods: The study was conducted during an event of Diabete Sommerso® association in 2023. Participants followed a safety protocol, with capillary glucose as reference standard (Beurer GL50Evo). Sensors' accuracy was evaluated through median and mean absolute relative difference (MeARD, MARD) and surveillance error grid (SEG). Data distribution and correlation were estimated by Spearman test and Bland-Altman plots. The ability of sensors to identify hypoglycemia was assessed by contingency tables. Results: Data from 202 dives of 13 patients were collected. The overall MARD was 31% (Dexcom G7) and 14.2% (Free Style Libre 3) and MeARD was 19.7% and 11.6%, respectively. Free Style Libre 3 exhibited better accuracy in normoglycemic and hyperglycemic ranges. SEG analysis showed 82.1% (Dexcom G7) and 97.4% (Free Style Libre 3) data on no-risk zone. Free Style Libre 3 better performed on hypoglycemia identification (diagnostic odds ratio of 254.10 vs. 58.95). Neither of the sensors reached the MARD for nonadjunctive use. Conclusions: The study reveals Free Style Libre 3 superior accuracy compared with Dexcom G7 in a setting of repetitive scuba diving in T1DM, except for hypoglycemic range. Both sensors fail to achieve accuracy for nonadjunctive use. Capillary tests remain crucial for safe dive planning, and sensor data should be interpreted cautiously. We suggest exploring additional factors potentially influencing sensor performance.

Cost-utility analysis of a flash continuous glucose monitoring system in the management of people with type 2 diabetes mellitus on basal insulin therapy-An Italian healthcare system perspective.

To assess the cost-utility of the FreeStyle Libre flash continuous glucose monitoring (CGM) system from an Italian healthcare system perspective, when compared with self-monitoring of blood glucose (SMBG) in people living with type 2 diabetes mellitus (T2DM) receiving basal insulin. A patient-level microsimulation model was run using Microsoft Excel for 10 000 patients over a lifetime horizon, with 3.0% discounting for costs and utilities. Inputs were based on clinical trials and real-world evidence, with patient characteristics reflecting Italian population data. The effect of flash CGM was modelled as a persistent 0.8% reduction in glycated haemoglobin versus SMBG. Costs (€ 2023) and disutilities were applied to glucose monitoring, diabetes complications, severe hypoglycaemia, and diabetic ketoacidosis. The health outcome was measured as quality-adjusted life-years (QALYs). Direct costs were €5338 higher with flash CGM than with SMBG. Flash CGM was associated with 0.51 more QALYs than SMBG, giving an incremental cost-effectiveness ratio (ICER) of €10 556/QALY. Scenario analysis ICERs ranged from €3825/QALY to €26 737/QALY. In probabilistic analysis, flash CGM was 100% likely to be cost effective at willingness-to-pay thresholds > €20 000/QALY. From an Italian healthcare system perspective, flash CGM is cost effective compared with SMBG for people living with T2DM on basal insulin.

Hyperglycemic Patterns in Acute Stroke Patients.

Background and objective Hyperglycemia followinga stroke canindependently aggravate the ischemic area. Ensuring adequate glucose management can help avoid complications and minimize mortality and disability in these patients. This study aimed to investigate hyperglycemic patterns in acute stroke patients. Materials and methods We conducted a non-interventional prospective observational study involving acute stroke patients by employing continuous glucose monitoring (CGM) for 72 hours after the onset of stroke symptoms. Admission glucose, patients' total mean glucose (TMG), and time in range (TIR) (70-140 mg/dl)were correlated with the hyperglycemic patterns elicited by the CGM system software. Data were analyzed using SPSS Statistics 26.0 (IBM Corp., Armonk, NY) with descriptive statistics, the Kruskal-Wallis test, and χ2 test. Results Our cohort comprised 105 diabetic and non-diabetic stroke patients. Thehyperglycaemic patterns that we observed were as follows: (i) hyperglycemiafrom 23:00 to 10:00, (ii) 06.00 to 10.00, (iii) at night and after meals, iv) no pattern, v) unspecified patterns. Patients with nocturnal and morning hyperglycemia had admission glucose of 183 mg/dl, mean 72-hour glucose of 156 mg/dl, and TIR of 37%. Patients who did not develop a hyperglycemic pattern either had admission glucose of 131 mg/dl andTIR of 89% or had high admission glucose (197 mg/dl) and a short TIR (14%). Conventional pre-meal capillary glucose tests do not appear to detect these patients' hyperglycemic tendencies. Conclusions These results may indicate the necessity for more intensive measurements during the night or dawn in this patient population. Admission glucose could be considered a predictor of hyperglycemic patterns and contribute to the patient's care plan.