Using 2nd generation basal insulins in type 2 diabetes: Costs and savings in a comparative economic analysis in Italy, based on the BRIGHT study

Basal Insulinotherapy in Patients Living with Diabetes in France: The EF-BI Study

INTRODUCTION

Second-generation basal insulins like glargine 300 U/mL (Gla-300) have a longer duration of action and less daily fluctuation and interday variability than first-generation ones, such as glargine 100 U/mL (Gla-100). The EF-BI study, a nationwide observational, retrospective study, was designed to compare persistence, acute care complications, and healthcare costs associated with the initiation of such basal insulins (BI) in a real-life setting in France.

METHODS

This study was conducted using the French healthcare claims database (SNDS). Adult patients living with type 1 or type 2 diabetes mellitus (T1DM or T2DM) initiating Gla-300 or Gla-100 ± other hypoglycemic medications between January 1, 2016 and December 31, 2020, and without any insulin therapy over the previous 6 months were included. Persistence was defined as remaining on the same insulin therapy until discontinuation defined by a 6 month period without insulin reimbursement. Hospitalized acute complications were identified using ICD-10 codes. Total collective costs were established for patients treated continuously with each basal insulin over 1-3 years. All comparisons were adjusted using a propensity score based on initial patient/treatment characteristics.

RESULTS

A total of 235,894 patients with T2DM and 6672 patients with T1DM were included. Patients treated with Gla-300 were 83% (T1DM) and 44% (T2DM) less likely to discontinue their treatment than those treated with Gla-100 after 24 months (p < 0.0001). The annual incidence of acute hospitalized events in patients with T2DM treated with Gla-300 was 12% lower than with Gla-100 (p < 0.0001) but similar in patients with T1DM. Comparison of overall costs showed moderate but statistically significant differences in favor of Gla-300 versus Gla-100 for all patients over the first year, and in T2DM only over a 3-year follow-up.

CONCLUSION

Use of Gla-300 resulted in a better persistence, less acute hospitalized events at least in T2DM, and reduced healthcare expenditure. These real-life results confirmed the potential interest of using Gla-300 rather than Gla-100.

Efficacy and safety of insulin glargine 300 units/mL vs insulin degludec in patients with type 1 and type 2 diabetes: a systematic review and meta-analysis

Background

Ultra-long-acting insulin analogs [insulin degludec (IDeg) and insulin glargine 300 units/mL (IGla-300)] offer a longer duration of action with less risk of hypoglycemia compared to other long-acting insulins. However, data about the comparative efficacy and safety are inconsistent.

Methods

We searched CENTRAL, PubMed, Embase, ICTRP Search Portal, and ClinicalTrials.gov on 7 October 2022. Randomized controlled trials (RCTs) comparing the safety and efficacy of IDeg (100 or 200 units/mL) and IGla-300 in patients with type 1 or type 2 diabetes were included. Three review authors independently selected trials, assessed the risk of bias, extracted data, and evaluated the overall certainty of the evidence using GRADE. The primary outcomes were the change in glycated hemoglobin (HbA1c) and any hypoglycemia; the secondary outcomes were the change in fasting plasma glucose (FPG) and severe and nocturnal hypoglycemia.

Results

Four open-label RCTs were included (2727 participants), 3 parallel and 1 cross-over. Overall, the risk of bias assessment yielded some concern or high risk. There was a comparable change in HbA1c from baseline to the end of treatment, a mean difference of 0.07% (95% confidence interval (CI) 0.06 - 0.19; p = 0.29; 3 trials; 2652 patients; very low-certainty evidence), and a comparable rate of any hypoglycemia, rate ratio 1.02 (95% CI 0.8 - 1.3; p = 0.87; 3 trials; 2881 patients; very low-certainty evidence). IDeg resulted in more reduction in FPG compared to IGla-300, mean difference of 10.27 mg/dL (95% CI 7.25 - 13.29; p < 0.001; 3 trials; 2668 patients; low-certainty evidence). Similar rates of nocturnal and severe hypoglycemia were observed, rate ratio of 1.13 (95% CI 0.72 - 1.78; p = 0.54; 3 trials; 2668 patients; very low-certainty evidence) and 1.4 (95% CI 0.41 - 4.73; p = 0.59; 2 trials; 1952 patients; very low-certainty evidence), respectively.

Conclusion

There is no evidence of a difference between IDeg and IGla-300 in the mean change in HbA1c and the risk of anytime, nocturnal, and severe hypoglycemia. IDeg appeared to cause a higher reduction in FPG compared to IGla-300. However, this finding should be interpreted with caution due to the small number of trials included and their high risk of bias.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022364891, identifier CRD42022364891.

The economic value of insulin glargine 300 U/mL (Gla-300) in people ≥18 years of age with type 2 diabetes mellitus: a value-based economic model from a U.S. payer perspective

AIMS

This study aimed to evaluate the value and affordability of insulin glargine 300 U/mL (Gla-300) in a budget impact model from a United States (U.S.) payer perspective by leveraging recent real-world evidence (RWE) studies and incorporating the recent insulin price caps where applicable.

MATERIALS AND METHODS

An economic model for a hypothetical one million U.S. health-plan population was developed to assess the budgetary impact of therapeutic interchanges in either direction between the two long- and longer-acting basal insulins (BIs) for patients with type 2 diabetes over a three-year model horizon. The utilization of long-acting BIs, longer-acting BIs, biosimilar BIs, and insulin degludec (IDeg-100) were informed by IQVIA data and internal forecasting at Sanofi. The DELIVER-2 and DELIVER-naïve studies provided healthcare resource utilization (HCRU) parameters. In the model base case, 24% of patients switched from long-acting BIs to insulin glargine biosimilars, IDeg-100, and other longer-acting BIs (Gla-300) by projected year 3.

RESULTS

The base case total costs were $10,145 per patient per year (PPPY) in year 3 for the cumulative population. When all patients switched to Gla-300, the total costs in year 3 were $8,799, reflecting a net savings of -$660 PPPY compared to the budget increase of $686 PPPY in the base case. However, the longer-acting to long-acting BIs reversal scenario demonstrated a budgetary decrease of $676 PPPY over the model horizon. The reduction in incremental PPPY cost of $93 was observed using net drug costs rather than wholesale acquisition costs (WAC).

LIMITATIONS

The market shares for years 1-3 were based on expectations supported by the clinicians' expert opinions and were not obtained from real-world data.

CONCLUSIONS

The economic value of increased utilization of Gla-300 was driven by the reduction in HCRU, costs and market shares assumptions. Budgetary reductions were achieved by switching patients from long-acting BIs to Gla-300.

Budget Impact Analysis of Diabetes Drugs: A Systematic Literature Review

Background: Budget impact analysis (BIA) is an economic assessment that estimates the financial consequences of adopting a new intervention. BIA is used to make informed reimbursement decisions, as a supplement to cost-effectiveness analyses (CEAs). Objectives: We systematically reviewed BIA studies associated with anti-diabetic drugs and assessed the extent to which international BIA guidelines were followed in these studies. Methods: We conducted a literature search on PubMed, Web of Science, Econlit, Medline, China National Knowledge Infrastructure (CNKI), Wanfang Data knowledge Service platform from database inception to June 30, 2021. ISPOR good practice guidelines were used as a methodological standard for assessing BIAs. We extracted and compared the study characteristics outlined by the ISPOR BIA Task Force to evaluate the guideline compliance of the included BIA. Results: A total of eighteen studies on the BIA for anti-diabetic drugs were identified. More than half studies were from developed countries. Seventeen studies were based on model and one study was based on real-world data. Overall, analysis considered a payer perspective, reported potential budget impacts over 1-5 years. Assumptions were mainly made about target population size, market share uptake of new interventions, and scope of cost. The data used for analysis varied among studies and was rarely justified. Model validation and sensitivity analysis were lacking in the current BIA studies. Rebate analysis was conducted in a few studies to explore the price discount that was required for new interventions to demonstrate cost equivalence to comparators. Conclusion: Existing studies evaluating budget impact for anti-diabetic drugs vary greatly in methodology, some of which showed low compliance to good practice guidelines. In order for the BIA to be useful for assisting in health plan decision-making, it is important for future studies to optimize compliance to national or ISPOR good practice guidelines on BIA. Model validation and sensitivity analysis should also be improved in future BIA studies. Continued improvement of BIA using real-world data is necessary to ensure high-quality analyses and to provide reliable results.