Cost analysis of the flash monitoring system (FreeStyle Libre 2) in adults with type 1 diabetes mellitus

Glucometrics and Patient-Reported Outcomes in Individuals With Type 1 Diabetes Mellitus: Insights From the Correlation of Time in Range (CorrelaTIR) Study in Real-World Settings

Background This study aimed to measure the association between time in range (TIR) and other continuous glucose monitoring (CGM)-derived glucometrics, quality of life (QoL), healthcare resource use (HCRU), and costs in persons with type 1 diabetes mellitus (T1DM) in routine clinical practice in Spain. Methods This observational, cross-sectional, multicentre study evaluated persons with T1DM who received insulin via multiple daily injections. The study collected data on the participants (demographic and clinical), the use of the CGM devices, patient-reported outcomes (PROs) for general and diabetes-related QoL, treatment satisfaction, work productivity and activity impairment, HCRU, and costs. Data were analysed descriptively. The Spearman correlation coefficient was used to measure the association between glucometrics and PROs, HCRU and costs. Results Participants (N=114) had a mean age (standard deviation) of 44.53 (14.39) years, were 50.88% men, and 53.51% had glycated haemoglobin ≤7%. A higher TIR was significantly associated with better diabetes-related QoL but not with general QoL. HCRU and PRO scores for treatment satisfaction and work productivity and activity impairment showed no correlation with TIR. Higher TIR correlated with a lower number of emergency room visits. Conclusion Good glycaemic control (high TIR) is favourably associated with some aspects of diabetes-related QoL.

Cost-effective analysis focused on hypoglycemia of intermittent-scanning continuous glucose monitoring in type 1 diabetes adults: a ISCHIA randomized clinical trial

Background

This study aimed to compare the economic value of intermittent-scanning continuous glucose monitoring (isCGM) with self-monitoring of blood glucose (SMBG) in adults with type 1 diabetes (T1D).

Methods

Participants were placed on either an isCGM or SMBG arm for 84 days, in a randomized, crossover setup with a 28-day washout period. Clinically relevant hypoglycemia (<54 mg/dL) and severe hypoglycemia (SH) risks were calculated by analyzing the data from isCGM. The effectiveness variable was quality-adjusted life years (QALYs), and costs included medical costs related to the SMBG device. In addition, we performed a sensitivity analysis using a tornado diagram to confirm the robustness of the results.

Patients

A total of 93 Japanese T1D adults (51.4 ± 15.3 years old, male 47.3%, and HbA1c 7.3 ± 0.7%) treated with multiple daily insulin injection (MDI).

Results

Compared to the SMBG arm, clinically relevant hypoglycemia and SH risks over daytime (2.7 ± 1.7 vs. 2.4 ± 1.6 times; P = 0.008 and 3.1 ± 3.2 vs. 2.2 ± 2.7; P = 0.001) and night-time periods (2.1 ± 1.6 → 1.7 ± 1.2; P < 0.001 and 5.1 ± 4.0 → 4.2 ± 3.8; P = 0.013) were reduced with isCGM treatment. The isCGM system was associated with an incremental gain in quality-adjusted life expectancy (QALE) of 0.8 QALYs compared with the SMBG arm (74.6 vs. 73.8 QALYs). The resulting incremental cost-effectiveness ratio was JPY 4,398,932 (US$41,212) per QALY gained, which is well below the generally accepted cost-effectiveness threshold. SH during the daytime period was the primary driver of the incremental QALE.

Conclusion

The findings suggest that isCGM use for Japanese T1D adults treated with MDI is cost saving relative to SMBG.

Impact of Continuous Glucose Monitoring and its Glucometrics in Clinical Practice in Spain and Future Perspectives: A Narrative Review

INTRODUCTION

Continuous glucose monitoring (CGM) devices allow for 24-h real-time measurement of interstitial glucose levels and have changed the interaction between people with diabetes and their health care providers. The large amount of data generated by CGM can be analyzed and evaluated using a set of standardized parameters, collectively named glucometrics. This review aims to provide a summary of the existing evidence on the use of glucometrics data and its impact on clinical practice based on published studies involving adults and children with type 1 diabetes (T1D) in Spain.

METHODS

The PubMed and MEDES (Spanish Medical literature) databases were searched covering the years 2018-2022 and including clinical and observational studies, consensus guidelines, and meta-analyses on CGM and glucometrics conducted in Spain.

RESULTS

A total of 16 observational studies were found on the use of CGM in Spain, which have shown that cases of severe hypoglycemia in children with T1D were greatly reduced after the introduction of CGM, resulting in a significant reduction in costs. Real-world data from Spain shows that CGM is associated with improved glycemic markers (increased time in range, reduced time below and above range, and glycemic variability), and that there is a relationship between glycemic variability and hypoglycemia. Also, CGM and analysis of glucometrics proved highly useful during the COVID-19 pandemic. New glucometrics, such as the glycemic risk index, or new mathematical approaches to the analysis of CGM-derived glucose data, such as "glucodensities," could help patients to achieve better glycemic control in the future.

CONCLUSION

By using glucometrics in clinical practice, clinicians can better assess glycemic control and a patient's individual response to treatment.

Impact in real-world of intermittent-scanned continuous glucose monitoring with alarms on hypoglycemia and its recognition in type 1 diabetes

BACKGROUND

Recent studies have demonstrated that real-time CGM use reduce the incidence severe hypoglycemic events and impaired awareness of hypoglycemia (IAH) However, there are few real-world studies evaluating the effect of intermittently scanned continuous glucose monitoring (isCGM) on hypoglycemic episodes and hypoglycemia unawareness (IAH). The present study was designed to cover this research-practice gap.

METHODS

This is a real-world, observational, prospective cohort study with 2 years of follow-up in which 60 subjects with T1D who experienced frequent hypoglycemic events were included. All the patients were invited to use isCGM type Abbott FreeStyle Libre 2® on a continuous basis for 2 years. Glucometric parameters were obtained during the initial 2 weeks using isCGM and compared with data collected for the same period at 1 year and at the end of follow-up. The IAH was evaluated using the Clarke questionnaire, and to assess psychological aspects related to hypoglycemia the Hypoglycemia Fear Survey (HFS) was used.

RESULTS

After 2-years of follow-up using isCGM, we observed a decrease in glucose variability (40.3 ± 0.8 % vs. 37.1 ± 0.9 %, p = 0.003), time in low glucose range (54-69 mg/dL) (5.2 ± 0.4 % vs. 3.6 ± 0.3 %, p = 0.001), time in very low glucose range (<54 mg/dL) (3.2 ± 0.5 % vs. 0.8 ± 0.2 %, p < 0.001), less events related to low glucose levels (10.6 ± 1.1 vs 8.0 ± 1.0, p = 0.042) and a short duration of hypoglycemia episodes (106.1 ± 5.9 min vs. 85.7 ± 5.7 min, p = 0.008). In addition, participants presented a reduction of 47 % in the frequency of IAH, assessed by the Clarke questionnaire scores (24.6 % vs. 11.6 %, p = 0.034), as well as hypoglycemia fear (77.8 ± 2.4 vs 68.2 ± 2.1, p < 0.001). Furthermore, a reduction in total insulin dose was also observed (0.64 ± 0.30 UI/Kg/day vs 0.56 ± 0.11 UI/Kg/day, p = 0.018).

CONCLUSIONS

In the real-world, long-term use of isCGM could reduce both hypoglycemic episodes and IAH in people with T1D.

Accuracy of Two Continuous Glucose Monitoring Devices During Aerobic and High-Intensity Interval Training in Individuals with Type 1 Diabetes

Background: This study aimed to evaluate the accuracy of Dexcom G6 (DG6) and FreeStyle Libre-2 (FSL2) during aerobic training and high-intensity interval training (HIIT) in individuals with type 1 diabetes. Methods: Twenty-six males (mean age 29.3 ± 6.3 years and mean duration of diabetes 14.9 ± 6.1 years) participated in this study. Interstitial glucose levels were measured using DG6 and FSL2, while plasma glucose levels were measured every 10 min using YSI 2500 as the reference for glucose measurements in this study. The measurements began 20 min before the start of exercise and continued for 20 min after exercise. Seven measurements were taken for each subject and exercise. Results: Both DG6 and FSL2 devices showed significant differences compared to YSI glucose data for both aerobic and HIIT exercises. Continuous glucose monitoring (CGM) devices exhibited superior performance during HIIT than aerobic training, with DG6 showing a mean absolute relative difference of 14.03% versus 31.98%, respectively. In the comparison between the two devices, FSL2 demonstrated significantly higher effectiveness in aerobic training, yet its performance was inferior to DG6 during HIIT. According to the 40/40 criteria, both sensors performed similarly, with marks over 93% for all ranges and both exercises, and above 99% for HIIT and in the >180 mg/dL range, which is in accordance with FDA guidelines. Conclusions: The findings suggest that the accuracy of DG6 and FSL2 deteriorates during and immediately after exercise but remains acceptable for both devices during HIIT. However, accuracy is compromised with DG6 during aerobic exercise. This study is the first to compare the accuracy of two CGMs, DG6, and FSL2, during two exercise modalities, using plasma glucose YSI measurements as the gold standard for comparisons. It was registered at clinicaltrials.gov (NCT06080542).

Budget impact analysis of continuous glucose monitoring in individuals with type 2 diabetes on insulin treatment in England

INTRODUCTION

In 2022, updated guidance from NICE expanded the options for self-monitoring of blood glucose for patients with type 2 diabetes (T2DM), to include continuous glucose monitoring (CGM). In this budget impact analysis, the cost impact of CGM was compared with traditional self-monitoring of blood glucose (SMBG) in adults with T2DM over 1 year from the commissioner perspective in England.

RESEARCH DESIGN AND METHODS

The NICE-eligible T2DM cohort was split into 4 subgroups to enable nuanced costing by insulin administration frequency: basal human insulin, premixed insulin, basal-bolus insulin and bolus insulin. The model's cost components comprised mild and severe hypoglycaemia (SH), diabetic ketoacidosis (DKA), consumables and healthcare resource utilisation in primary and secondary care.

RESULTS

The introduction of CGM is estimated to be cost additive by approximately £4.6 million in the basecase, driven by increased spending on the CGM device. Overall, healthcare activity was reduced by approximately 20,000 attendances, due to fewer SH and DKA episodes in the CGM arm. General Practitioner (GP) practice-based activity is expected to drop after the first year as patients requiring CGM training is reduced. The budget impact could be neutralised if the CGM sensor was discounted by 13.2% (£29.76 to £25.83).

CONCLUSIONS

CGM may result in increased spending in the NICE-eligible T2DM cohort but is expected to reduce demand on secondary care services and GP time. These findings may be of interest to local decision-makers who wish to resolve the COVID-19 backlog with transformational investment in primary care to reduce secondary care activity.

Scans per day as predictors of optimal glycemic control in people with type 1 diabetes mellitus using flash glucose monitoring: what number of scans per day should raise a red flag?

AIMS

This study aimed to determine the minimum frequency of flash glucose monitoring (FGM) scans necessary for optimal glycemic control in patients with type 1 diabetes (T1D).

METHODS

Data were collected from 692 patients (47.5% female, with a median age of 47.4 years) who used FGM systems daily and recorded their clinical variables and device data.

RESULTS

Logistic regression models showed that performing more than 12 scans per day was associated with improved T1D control (OR = 4.22, p < 0.001) and a reduction in HbA1c (7.6 vs 7.0%, 60-53 mmol/mol p < 0.001). However, those performing less than 6 scans showed no improvement in HbA1c (7.9 vs 7.8%, 63-61 mmol/mol p = 0.514). Thirteen daily scans were determined as the optimal cutoff point for predicting optimal glycemic control using a maximally selected rank algorithm. Significant reductions were observed in mean glucose (< 0.001), coefficient of variation (< 0.001), HbA1c (< 0.001), and an increase in TIR (< 0.001) in patients who performed more than 12 daily scans.

CONCLUSIONS

The results suggest that a higher frequency of daily scans by T1D patients using FGM systems leads to improved chronic glycemic control. The minimum recommended frequency for optimal control is 13 scans per day, and more than 6 daily scans are needed to improve HbA1c.

Personalizing the Use of a Intermittently Scanned Continuous Glucose Monitoring Device in Individuals With Type 1 Diabetes: A Cost-Effectiveness Perspective in the Netherlands (FLARE-NL 9)

AIMS

Intermittently scanned continuous glucose monitoring (isCGM) is a method to monitor glucose concentrations without using a finger prick. Among persons with type 1 diabetes (T1D), isCGM results in improved glycemic control, less disease burden and improved health-related quality of life (HRQoL). However, it is not clear for which subgroups of patients isCGM is cost-effective. We aimed to provide a real-world cost-effectiveness perspective.

METHODS

We used clinical data from a 1-year nationwide Dutch prospective observational study (N = 381) and linked these to insurance records. Health-related quality of life was assessed with the EQ-5D-3L questionnaire. Individuals were categorized into 4 subgroups: (1) frequent hypoglycemic events (58%), (2) HbA1c > 70 mmol/mol (8.5%) (19%), (3) occupation that requires avoiding finger pricks and/or hypoglycemia (5%), and (4) multiple indications (18%). Comparing costs and outcomes 12 months before and after isCGM initiation, incremental cost-effectiveness ratios (ICERs) were calculated for the total cohort and each subgroup from a societal perspective (including healthcare and productivity loss costs) at the willingness to pay of €50,000 per quality-adjusted life year (QALY) gained.

RESULTS

From a societal perspective, isCGM was dominant in all subgroups (ie higher HRQoL gain with lower costs) except for subgroup 1. From a healthcare payer perspective, the probabilities of isCGM being cost-effective were 16%, 9%, 30%, 98%, and 65% for the total cohort and subgroup 1, 2, 3, and 4, respectively. Most sensitivity analyses confirmed these findings.

CONCLUSIONS

Comparing subgroups of isCGM users allows to prioritize them based on cost-effectiveness. The most cost-effective subgroup was occupation-related indications, followed by multiple indications, high HbA1c and the frequent hypoglycemic events subgroups. However, controlled studies with larger sample size are needed to draw definitive conclusions.

Assessment of Patient-reported Satisfaction and Metabolic Outcomes Following Initiation of the Second Generation of Flash Glucose Monitoring in Patients with Type 1 Diabetes

BACKGROUND AND AIMS

This study aims to assess patient-reported satisfaction and metabolic outcomes following the initiation of the second generation of the Freestyle Libre 2 (FSL2) system in patients with type 1 diabetes (T1D).

METHODS

This non-randomized single-arm observation study was conducted on 86 patients with T1D living in Saudi Arabia, who were asked to wear the FSL2 for 12 weeks. The demographic data were collected at baseline, while the continuous glucose monitoring (CGM) metrics were gathered, i.e., Glucose Variability (GV) (%), mean Time in Range (TIR), Time Above Range (TAR), Time Below Range (TBR), and average duration of hypoglycemic events were collected at baseline, 6th week and 12 weeks. Further, the Continuous Glucose Monitoring Satisfaction (CGM-SAT) was collected at the end of the follow-up.

RESULTS

Compared to the 6th week, significant differences were observed in the low glucose events (p = 0.037), % TIR (p = 0.045), and % below 70 mg/dL (p = 0.047) at 12 weeks. Improvement was seen in the other glucometric variables, but no significant changes were evident (p > 0.05). On completion of the study period, the ambulatory glucose profile (AGP) metrics showed a 74.3 ± 5.01 (mg/dL) FSL2 hypoglycemia alarm threshold and a 213 ± 38.1 (mg/dL) hyperglycemia alarm threshold. A majority of the patients stated that CGM-SAT had benefits (mean score > 3.58), although they felt FSL2 had 'additional benefits. With regard to the problems with the use of FSL2 majority of the patients stated that FSL2 has minimal discomfort.

CONCLUSION

Using second-generation FSL2 in patients with T1D is positively associated with patient- reported satisfaction and metabolic outcomes.

Cost-effectiveness of continuous glucose monitoring with FreeStyle Libre® in Brazilian insulin-treated patients with types 1 and 2 diabetes mellitus

BACKGROUND

Hypoglycemia is a barrier to optimal glucose control in the treatment of both type 1 (T1DM) and type 2 diabetes mellitus (T2DM). Blood glucose monitoring is essential in diabetes management. Inappropriate glucose management is associated with high mortality and morbidity. FreeStyle Libre® (FSL) is a continuous glucose monitoring (CGM) system that provides effective, safe, and convenient glucose monitoring, without routine finger pricking. This study aims to estimate the incremental cost-effectiveness ratio (ICER) of the FSL system in comparison to conventional Self-monitoring of blood glucose (SMBG) in T1DM and T2DM patients that require intensive insulin therapy.

METHODS

A decision-tree model was developed to compare the cost-effectiveness ratio between FSL and conventional SMBG from the perspective of the Brazilian Public Healthcare System (SUS). The model captures the cumulative rates of acute complications such as severe hypoglicemia and diabetic ketoacidosis, per-event costs, and quality-adjusted life-years (QALYs) gained over a 1-year time horizon in adult and pediatric patients (≥ 4 years old) with T1DM or T2DM. Inputs from the Brazilian health databases, clinical trials, and real-world data were used in the study.

RESULTS

The results demonstrated that, regarding solely severe hypoglicemia and diabetic ketoacidosis events, T1DM have a QALY difference of 0.276, a cost difference of R$ 7.255, and an ICER of R$ 26,267.69 per QALY gained for CGM with FSL, when compared to conventional SMBG. T2DM results demonstrated equally a QALY difference of 0.184, a cost difference of R$ 7290, and an ICER of R$ 39,692.67 per QALY gained, in favour of CGM with FSL.

CONCLUSION

Our findings demonstrated that FSL is cost-effective in T1DM and T2DM for acute diabetic complications, from a SUS perspective. CGM with FSL can promote safe, convenient, and cost-effective glucose monitoring, therefore contributing to the improvement of the incidence of complications and quality of life.

Budget Impact Analysis of the FreeStyle Libre Flash Continuous Glucose Monitoring System® in Patients with Type 1 Diabetes Mellitus and Type 2 Diabetes Mellitus with Multiple Daily Insulin Injections in Argentina

OBJECTIVE

To estimate the budget impact of the potential coverage of FreeStyle Libre Flash Continuous Glucose Monitoring System (FSL) for glycemia monitoring in all type 1 diabetes mellitus (T1DM) patients and in those with type 2 diabetes mellitus (T2DM) with multiple daily insulin injections, from the social security and the private third-party payer's perspective in Argentina.

METHODS

A budget impact model was developed to estimate the cost difference between the self-monitoring of blood glucose (standard of care) and FSL over 5 years. Input parameters were retrieved from local literature complemented by expert opinion. Health care costs were estimated by a micro-costing approach and reported in USD as of April 2022 (1 USD = 113.34 Argentine pesos). One-way sensitivity and scenario analyses were conducted.

RESULTS

From a social security third-party payer perspective, the incorporation of FSL was associated with net savings per member per month (PMPM) of $0.026 (Year 1) to $0.097 (Year 5) and net savings PMPM of $0.002 (Year 1) to $0.008 (Year 5) for T1DM and T2DM patients, respectively. Similar findings are reported from the private third-party payer perspective. The budget impact results were more sensitive to the acquisition costs of the FSL and test strips.

CONCLUSION

The potential coverage of FSL in patients with T1DM and T2DM with multiple daily insulin injections could be associated with small financial savings considering current technology acquisition costs (FSL and test strips) for social security and the private sector third-party payers in Argentina.

Budget impact analysis of the freestyle libre flash continuous glucose monitoring system® in patients with diabetes mellitus type 1 in Chile

OBJECTIVE

To estimate the budget impact of covering the FreeStyle Libre Flash Continuous Glucose Monitoring System (FSL) for type 1 Diabetes Mellitus patients (T1DM), compared to self-monitoring of blood glucose (SMBG), from the perspective of public and private third-party payers in Chile.

METHODS

A budget impact model was developed to estimate the cost difference between SMBG and FSL over five years. Two FSL coverage schemes were assessed. Input parameters were retrieved from the literature review and complemented by expert opinion. Healthcare costs were estimated by a micro-costing approach and reported in USD.

RESULTS

For a public sector third-party payer, incorporating FSL implied a cost increase up to USD 0.013 per member per month (PMPM) for the fifth year under the broad coverage scheme and a net saving of 0.0001 PMPM (all years) under the restricted coverage scheme. From a private sector third-party payer, incorporating FSL implied savings up to USD 0.028 PMPM (fifth year) for the broad coverage scheme and up to USD 0.012 PMPM (fifth year) for the restricted scheme.

CONCLUSION

Incorporating the FSL for T1DM patients was associated with a marginal incremental cost for the public sector third-party payer and cost savings in Chile's private healthcare sector.

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.

Effectiveness of a flash glucose monitoring systems implementation program through a group and telematic educational intervention in adults with type 1 diabetes

OBJECTIVES

Verifying the clinical effectiveness and the impact on quality-of-life parameters, fear of hypoglycaemia and satisfaction with the treatment obtained with a flash glucose monitoring (MFG) devices implantation program that includes a telematic and group educational intervention in adults with type 1 diabetes.

PATIENTS AND METHODS

Prospective quasi-experimental study, carried out during the COVID-19 pandemic period with a 9-month follow-up at the Virgen Macarena University Hospital, Sevilla.

RESULTS

Eighty-eight participants were included (men: 46.6%; mean age (years) 38.08, SD: 9.38); years of DM1 evolution: 18.4 (SD: 10.49); treatment with multiple doses insulin (MDI) 70.5% vs 29.5% subcutaneous insulin infusion therapy (CSII)). Baseline HbA1c was 7.74% (1.08). After the intervention, the global decrease in HbA1c was -0.45% (95% CI [-0.6, -0.25], P < 0.01), increasing to -1.08% in the group that started with HbA1c ≥ 8% (P < 0.01). A mean decrease in the Fear of Hypoglycemia 15 (FH15) test score of -6.5 points was observed (P < 0.01). In the global score of the Spanish version of Diabetes Quality Of Life (DQOL-s) test, the decrease was -8.44 points (P < 0.01). In Diabetes Treatment Satisfaction Questionnaire test (DTQ-s), global score increased in + 4 points (P < 0.01).

CONCLUSIONS

The incorporation of an educational program in group and telematic format within the development of MFG devices implantation strategies is an effective option, with associated benefits in quality of life and fear of hypoglycemia in adult patients with DM1. This option can be implemented in usual clinical practice.

Flash Glucose Monitoring System facilitates sustainable improvements in glycemic control in patients with type 1 diabetes: A 12-month follow-up study in real life

BACKGROUND AND AIMS

Examine the glycemic control on Type 1 Diabetes (T1D) wearing the Flash Glucose Monitoring (FGM) system for a one-year period of time.

METHODS

This prospective study done using 187 patients with T1D (14-40yrs) who self-tested their glucose levels by FGM. Continuous glucose monitoring (CGM) metrics were gathered i.e., Glucose Variability (GV) (%), mean Time in Range (TIR), Time Above Range (TAR), Time Below Range (TBR), and average duration of hypoglycemic events at the 3, 6, and 12 month time periods.

RESULTS

At 6th, 9th and 12th months, for values of GV, % in target, TAR and %>250 mg/dL, no significant changes (p > 0.05) were noted compared to 3 months. However, significant changes from the baseline were evident for the values of the mean glucose level at the 3rd (p = 0.028), 9th (p = 0.048) and 12th months (p = 0.022). When the mean glucose value at 3 months was compared to the same at 6, 9, and 12 month period, no significant changes (p > 0.05) were seen. When compared with baseline values, low glucose events at 3 months (p = 0.028), 6 months (p = 0.048), 9 months (p = 0.022) and 12 months (p = 0.038) showed significant changes. However, the percentage below 70 mg/dL (barring the value at 12 months, p = 0.046), no significant changes were observed. The HbA1c revealed significant drop in 3, 6, 9 and 12 months compared to baseline values.

CONCLUSION

Significant improvement was noted in CGM metrics when patients switched from conventional finger pricking method over to FGM system, and the effect was observed during the entire study period.

Impact on variables of severe hypoglycaemia and healthcare costs of the use of the FreeStyle system in paediatric population with type 1 diabetes mellitus

INTRODUCTION

Analysis of the impact on severe hypoglycaemia and direct costs of the introduction of the FreeStyle Libre sensor in paediatric population with type 1 Diabetes Mellitus.

MATERIAL AND METHODS

Ambispective single-centre study to assess the impact on severe hypoglycaemia and direct costs, focusing on consumption of materials, in paediatric population with type 1 Diabetes Mellitus before and after introduction of the FreeStyle Libre 1 sensor.

RESULTS

A significant decrease was found in episodes of severe hypoglycaemia, with 4.2 episodes of severe hypoglycaemia per 100 patients under follow-up versus 0.25 episodes per 100 patients a year after introduction of the system. This represents a cost difference for severe hypoglycaemia, estimated at €6559.52 before introduction and €409.97 after introduction of the FreeStyle Libre sensor. We found a decrease in the daily consumption of capillary blood glucose strips, which translates as a decrease in the cost of materials and helps mitigate the cost of the sensor. The cost in materials for the patient with FreeStyle Libre was €185.13 per patient and year higher than conventional control with capillary blood glucose strips.

Frequency of flash glucose monitoring and glucose metrics: real-world observational data from Saudi Arabia

BACKGROUND

This real-world data study analyzed glucose metrics from FreeStyle Libre^® flash glucose monitoring in relation to scanning frequency, time in range (TIR) and estimated A1c (eA1c) in Saudi Arabia.

METHODS

Anonymized reader data were analyzed according to scanning frequency quartiles, eA1c categories (<7%,≥7%‒≤9% or>9%) and TIR categories (<50%,≥50%‒≤70% or>70%). Sensors, grouped by reader, were required to have≥120 h of operation. Differences in scanning frequency, eA1c, TIR, time in hypoglycemia and hyperglycemia, and glucose variability (standard deviation [SD] and coefficient of variation [CV]) were analyzed between groups.

RESULTS

6097 readers, 35,747 sensors, and 40 million automatic glucose measurements were analyzed. Patients in the highest scanning frequency quartile (Q4, mean 32.0 scans/day) had lower eA1c (8.47%), greater TIR (46.4%) and lower glucose variation (SD 75.0 mg/dL, CV 38.2%) compared to the lowest quartile (Q1, mean 5.2 scans/day; eA1c 9.77%, TIR 32.8%, SD 94.9 mg/dL, CV 41.3%). Lower eA1c and higher TIR were associated with greater scanning frequency, lower glucose variability and less time in hyperglycemia.

CONCLUSIONS

Higher scanning frequency in flash glucose users from Saudi Arabia is associated with lower eA1c, higher TIR, lower glucose variability and less time in hypoglycemia or hyperglycemia.

Flash glucose monitoring and glycemic control in type 1 diabetes with subcutaneous insulin infusion

AIMS

To analyze the association between scan frequency and glycemic measures in continuous subcutaneous insulin infusion (CSII) treated type 1 diabetes (T1DM) adults.

METHODS

This retrospective study included 140 patients (> 18 years) with T1DM who used flash glucose monitoring (FGM). For each patient, we analyzed the Ambulatory Glucose Profile data over a period of 90 days. Data regarding glucose management indicator (GMI), time above, below and within range (TIR) and coefficient of variation (CV) were correlated with the number of daily scans. The effect of each additional test on glucose parameters was also evaluated.

RESULTS

Users performed a mean of 8.6 ± 4.4 scans per day. There was an inverse correlation between scanning frequency and GMI (r = - 0.431, p < 0.001), CV (r = - 0.440, p < 0.001), time above and below range (r = - 0.446, p < 0.001 and r = - 0.200, p = 0.018, respectively). The number of daily scans correlated positively with TIR (r = 0.554, p < 0.001). For each additional scan per day, the mean GMI decreased 0.09% and TIR increased 1.60%.

CONCLUSIONS

In patients with T1DM and CSII, higher rates of scanning correlated with improved glycemic markers, including reduced GMI and CV and increased TIR. For each test performed, there was a significant effect on the improvement of all glucose parameters.

Commercial and Scientific Solutions for Blood Glucose Monitoring-A Review

Diabetes is a chronic and, according to the state of the art, an incurable disease. Therefore, to treat diabetes, regular blood glucose monitoring is crucial since it is mandatory to mitigate the risk and incidence of hyperglycemia and hypoglycemia. Nowadays, it is common to use blood glucose meters or continuous glucose monitoring via stinging the skin, which is classified as invasive monitoring. In recent decades, non-invasive monitoring has been regarded as a dominant research field. In this paper, electrochemical and electromagnetic non-invasive blood glucose monitoring approaches will be discussed. Thereby, scientific sensor systems are compared to commercial devices by validating the sensor principle and investigating their performance utilizing the Clarke error grid. Additionally, the opportunities to enhance the overall accuracy and stability of non-invasive glucose sensing and even predict blood glucose development to avoid hyperglycemia and hypoglycemia using post-processing and sensor fusion are presented. Overall, the scientific approaches show a comparable accuracy in the Clarke error grid to that of the commercial ones. However, they are in different stages of development and, therefore, need improvement regarding parameter optimization, temperature dependency, or testing with blood under real conditions. Moreover, the size of scientific sensing solutions must be further reduced for a wearable monitoring system.

Cost Analysis of FreeStyle Libre® 2 System in Type 2 Diabetes Mellitus Population

INTRODUCTION

FreeStyle Libre^® 2 system is a sensor-based flash-monitoring system that measures interstitial fluid glucose. The study aimed to compare cost of FreeStyle Libre 2 system and self-monitoring of blood glucose (SMBG) in the type 2 diabetes mellitus (T2DM) population from the Spanish Health System perspective.

METHODS

On the basis of data collected from a literature review, the cost of glucose monitoring was modelled for patients with T2DM on a basal-bolus insulin regimen. The cost estimate included annual consumption for glucose monitoring (strips, lancets and sensors) and severe hypoglycaemic events (SHE) management. A published rate of SHE (2.5 episodes/patient-year) was considered. A reduction of SHE (- 48.8%) associated with FreeStyle Libre 2 system, derived from the REPLACE trial, was applied. Hospital attendance for 20.5% of SHEs (with subsequent hospitalization in 16.0%) was applied. Consumption of strips and lancets was set at 6/day for SMBG (derived from national monitoring recommendations), and 0.2/day for FreeStyle Libre 2 system users, with 26 FreeStyle Libre 2 sensors/year. Unitary costs (€, year 2020 excluding VAT) were derived from literature (€0.28/strip; €0.09/lancet; €3.09/daily FM sensor; €3804/hospitalized SHE; €1794/hospital-attended non-admitted SHE; €389/community-attended SHE).

RESULTS

Costs were €2700 and €2120/year/patient using SMBG or FreeStyle Libre 2 system, respectively. For 1000 patients with T2DM using basal-bolus insulin, 1220 SHEs/year (with 48 hospitalizations) could be prevented and FreeSytle Libre 2 system could generate cost savings of up to €580,953/year versus SMBG (- 21.5%).

CONCLUSION

FreeStyle Libre 2 system is a potential cost-saving strategy in patients with T2DM in Spain on a basal-bolus insulin regimen.

Effectiveness of the freestyle libre 2 flash glucose monitoring system on diabetes-self-management practices and glycemic parameters among patients with type 1 diabetes using insulin pump

AIMS

To determine the effectiveness of Freestyle Libre 2 (FSL2) on diabetes-self-management (DSM) practices and glycemic parameters among patients with type 1 diabetes (T1D) using insulin pump.

METHODS

This prospective study was performed among 47 patients with T1D (13-21yrs) who self-tested their glucose levels by the conventional finger-prick method using blood glucose meters (BGM). Data related to glycemic profile i.e., mean time in range (TIR), mean time above range (TAR) mean time below range (TBR), mean glucose level, hemoglobin A1c (HbA1c), total daily dose of insulin (TDDI), frequency of glucose monitoring and DSM responses were collected at baseline and 12 weeks.

RESULTS

The mean TIR was 59.8 ± 12.6%, TAR 32.7 ± 11.6%, TBR 7.5 ± 4.3%, mean glycemic variability, standard deviation 63.2 ± 12.5 mg/dL, and the coefficient of variation 41.3 ± 11.4% at 12 weeks. At baseline, the HbA1c level was 8.3%, and at 12 weeks, it dropped to 7.9% (p = 0.064). Baseline glucose monitoring frequency through BGM was 2.4/day; however, after the patients employed the FSL2, a higher degree of frequency of glucose monitoring was evident at 12 weeks as 8.2/day (p < 0.001). Significant improvements were observed in all the DSM subscales at 12 weeks.

CONCLUSION

Using FSL2 was found to raise the patients' DSM levels and improved metabolic control.

American Association of Clinical Endocrinology Clinical Practice Guideline: The Use of Advanced Technology in the Management of Persons With Diabetes Mellitus

OBJECTIVE

To provide evidence-based recommendations regarding the use of advanced technology in the management of persons with diabetes mellitus to clinicians, diabetes-care teams, health care professionals, and other stakeholders.

METHODS

The American Association of Clinical Endocrinology (AACE) conducted literature searches for relevant articles published from 2012 to 2021. A task force of medical experts developed evidence-based guideline recommendations based on a review of clinical evidence, expertise, and informal consensus, according to established AACE protocol for guideline development.

MAIN OUTCOME MEASURES

Primary outcomes of interest included hemoglobin A1C, rates and severity of hypoglycemia, time in range, time above range, and time below range.

RESULTS

This guideline includes 37 evidence-based clinical practice recommendations for advanced diabetes technology and contains 357 citations that inform the evidence base.

RECOMMENDATIONS

Evidence-based recommendations were developed regarding the efficacy and safety of devices for the management of persons with diabetes mellitus, metrics used to aide with the assessment of advanced diabetes technology, and standards for the implementation of this technology.

CONCLUSIONS

Advanced diabetes technology can assist persons with diabetes to safely and effectively achieve glycemic targets, improve quality of life, add greater convenience, potentially reduce burden of care, and offer a personalized approach to self-management. Furthermore, diabetes technology can improve the efficiency and effectiveness of clinical decision-making. Successful integration of these technologies into care requires knowledge about the functionality of devices in this rapidly changing field. This information will allow health care professionals to provide necessary education and training to persons accessing these treatments and have the required expertise to interpret data and make appropriate treatment adjustments.

Glycemic Status Assessment by the Latest Glucose Monitoring Technologies

The advanced and performing technologies of glucose monitoring systems provide a large amount of glucose data that needs to be properly read and interpreted by the diabetology team in order to make therapeutic decisions as close as possible to the patient's metabolic needs. For this purpose, new parameters have been developed, to allow a more integrated reading and interpretation of data by clinical professionals. The new challenge for the diabetes community consists of promoting an integrated and homogeneous reading, as well as interpretation of glucose monitoring data also by the patient himself. The purpose of this review is to offer an overview of the glycemic status assessment, opened by the current data management provided by latest glucose monitoring technologies. Furthermore, the applicability and personalization of the different glycemic monitoring devices used in specific insulin-treated diabetes mellitus patient populations will be evaluated.