Can the metabolic control targets established for patients with type 1 diabetes be achieved in 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.

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.

The presence of microvascular complications is associated with a poor evolution of metabolic control in patients with type 1 diabetes mellitus

OBJECTIVE

To report the evolution of metabolic control and to assess the clinical and metabolic factors associated with the presence of microvascular complications in patients with type 1 diabetes mellitus (T1DM).

MATERIAL AND METHODS

This was a retrospective, observational study analysing clinical, laboratory, and therapeutic data from a registry of patients with T1DM created in 2010.

RESULTS

Data recorded from 586 patients (males: 50.2%; mean age: 36.1±13.5 years; T1DM duration: 18.0±12.1 years) followed for a mean of 6.0±3.1 years were assessed, and 8133 HbA1c levels (13.2±7.6 measurements/patient) were analysed, with a mean evolutionary HbA1c of 7.9%±1.2%. The mean annual HbA1c level gradually improved from 8.6%±1.6% in 2010 to 7.5%±1.4% in 2019, with 34.3% and 69.0% of patients having HbA1c levels ≤7% and ≤8% respectively. Patients with T1DM duration of <10 years and ≥20 years, non-smokers, CSII users, and those using the insulin/carbohydrate ratio had better current and evolutionary HbA1c levels. The presence of microvascular complications was independently associated with T1DM lasting ≥20 years, the presence of HBP, and evolutionary HbA1c≥7.0%.

CONCLUSION

A progressive but still inadequate improvement in metabolic control over 10 years was seen in patients with T1DM. Poor metabolic control (mean HbA1c over 10 years ≥7%) was independently associated with the presence of microvascular complications.

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

INTRODUCTION

Compare cost of the interstitial liquid glucose flash monitoring (FM) system (FreeStyle Libre 2) versus self-monitoring of blood glucose (SMBG) in adults with type 1 diabetes mellitus (T1DM) in Spain.

RESEARCH DESIGN AND METHODS

A model was developed to estimate, with the perspective of the Spanish health system, the annual costs associated with glucose monitoring and hypoglycemic events management in T1DM population, with multiple insulin daily doses (MDI). According to published evidence, rate of severe hypoglycemia (SHE) of 4.90 episodes per patient-year was applied. Reduction of SHE (58.6%) was modeled associated with FM use. Published rates of hospital care (20.2%) and subsequent admission (16%) were assumed for SHE. The daily consumption of strips and lancets was 9 in patients with SMBG (before and after 4 daily intakes and at bedtime) and 0.5 for FM users (according to IMPACT trial findings). Annual consumption of 26 FM sensors was considered (1 every 14 days). Unit costs (in € of 2019, excluding VAT) were obtained from literature and national databases. Sensitivity analyses (SA) were carried out to evaluate the model robustness.

RESULTS

The total annual cost/patient was €4437 for SMBG and €2526 for FM. The use of FM would be associated with an annual savings in the costs of monitoring and managing hypoglycemic events of €1911 per patient-year. In a hypothetical cohort of 1000 patients with T1DM MDI, FM could avoid in 1 year 4900 SHE, 93 hospitalizations for SHE. In addition, the use of FM would generate total savings of up to €1 910 000 per year. In the SA with alternative hypoglycemia events rates and use of strips and lancets, and including non-SHE episodes, savings from €370 000 to €1 760 000 were observed with FM.

CONCLUSIONS

The use of the FM system to monitor glucose in adults with T1DM treated with MDI, would reduce hypoglycemic events and would result in cost savings for the health system.

How are metabolic control targets of patients with Type 1 diabetes mellitus achieved in daily practice in the area with high diabetes prevalence?

AIMS

We assessed the prevalence of Type 1 diabetes mellitus and determined how the targets established in the guidelines for patients with Type 1 diabetes mellitus were achieved in clinical practice in North Karelia, Finland.

METHODS

All adult Type 1 diabetes mellitus patients (n=1075) were identified from the regional electronic patient database. The data for HbA1c and LDL cholesterol measurements during the years 2013 and 2014 were obtained from medical records.

RESULTS

The prevalence of Type 1 diabetes mellitus in the adult population in North Karelia was 0.8%, which is among the highest worldwide. HbA1c and LDL cholesterol were measured in 93% and 90% of participants, respectively. Nineteen percent of patients reached the HbA1c target of <7.0% (53mmol/mol) and 45% attained LDL cholesterol <2.5mmol/l. Overall, 26% of patients over 60 years old with diabetes achieved glycaemic control targets compared with 13-16% of younger patients with diabetes.

CONCLUSIONS

Glycaemic control was in line with the recommendations in only one-fifth of Type 1 diabetes mellitus patients and less than half of them had LDL cholesterol levels within the target range. Interestingly, older Type 1 diabetes mellitus patients met the glycaemic control target more often than younger patients with diabetes. The targets established for patients with Type 1 diabetes mellitus are not achieved satisfactorily in daily practice.

Costs, outcomes and challenges for diabetes care in Spain

BACKGROUND

Diabetes is becoming of increasing concern in Spain due to rising incidence and prevalence, although little information is known with regards to costs and outcomes. The information on cost of diabetes in Spain is fragmented and outdated. Our objective is to update diabetes costs, and to identify outcomes and quality of care of diabetes in Spain.

METHODS

We performed systematic searches from secondary sources, including scientific literature and government data and reports.

RESULTS

Diabetes Type II prevalence is estimated at 7.8%, and an additional 6% of the population is estimated to be undiagnosed. Four Spanish diabetes cost studies were analyzed to create a projection of direct costs in the NHS and productivity losses, estimating €5.1 billion for direct costs along with €1.5 billion for diabetes-related complications (2009) and labour productivity losses represented €2.8 billion. Glycemic control (glycolysated hemoglobin) is considered acceptable in 59% of adult Type II cases, in addition to 85% with HDL cholesterol ≥40mg/dl and 65% with blood pressure <140/90 mmHg, pointing to good intermediate outcomes. However, annual figures indicate that over half of the Type II diabetics are obese (BMI >30), 15% have diabetic retinopathy, 16% with microalbuminuria, and 15% with cardiovascular disease.

CONCLUSIONS

The direct health care costs (8% of the total National Health System expenditure) and the loss of labour productivity are high. The importance of a multi-sectoral approach in prevention and improvements in management of diabetes are discussed, along with policy considerations to help modify the disease course.