Cost effectiveness of insulin glargine plus oral antidiabetes drugs compared with premixed insulin alone in patients with type 2 diabetes mellitus in Canada

American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update

OBJECTIVE

The objective of this clinical practice guideline is to provide updated and new evidence-based recommendations for the comprehensive care of persons with diabetes mellitus to clinicians, diabetes-care teams, other health care professionals and stakeholders, and individuals with diabetes and their caregivers.

METHODS

The American Association of Clinical Endocrinology selected a task force of medical experts and staff who updated and assessed clinical questions and recommendations from the prior 2015 version of this guideline and conducted literature searches for relevant scientific papers published from January 1, 2015, through May 15, 2022. Selected studies from results of literature searches composed the evidence base to update 2015 recommendations as well as to develop new recommendations based on review of clinical evidence, current practice, expertise, and consensus, according to established American Association of Clinical Endocrinology protocol for guideline development.

RESULTS

This guideline includes 170 updated and new evidence-based clinical practice recommendations for the comprehensive care of persons with diabetes. Recommendations are divided into four sections: (1) screening, diagnosis, glycemic targets, and glycemic monitoring; (2) comorbidities and complications, including obesity and management with lifestyle, nutrition, and bariatric surgery, hypertension, dyslipidemia, retinopathy, neuropathy, diabetic kidney disease, and cardiovascular disease; (3) management of prediabetes, type 2 diabetes with antihyperglycemic pharmacotherapy and glycemic targets, type 1 diabetes with insulin therapy, hypoglycemia, hospitalized persons, and women with diabetes in pregnancy; (4) education and new topics regarding diabetes and infertility, nutritional supplements, secondary diabetes, social determinants of health, and virtual care, as well as updated recommendations on cancer risk, nonpharmacologic components of pediatric care plans, depression, education and team approach, occupational risk, role of sleep medicine, and vaccinations in persons with diabetes.

CONCLUSIONS

This updated clinical practice guideline provides evidence-based recommendations to assist with person-centered, team-based clinical decision-making to improve the care of persons with diabetes mellitus.

Which Patients Will Benefit from a Switch in Therapy from Premixed Insulin to Insulin Glargine plus Oral Antidiabetic Drugs? Further Analysis of the Lantus Registry Study

INTRODUCTION

This subgroup analysis of data from the 16-week Lantus Registry Study in China investigated the characteristics of patients with type 2 diabetes mellitus (T2DM) associated with clinical benefits of transitioning therapy from premixed insulin to insulin glargine (100 U/ml) plus oral antidiabetic drugs (OADs).

METHODS

The modified intention-to-treat population of the Lantus Registry Study, comprising 1847 patients with T2DM, were included in the current subgroup analyses. Enrolled patients were divided into subgroups based on efficacy variables of endpoint glycated hemoglobin (HbA_1c), endpoint fasting plasma glucose (FPG), and change in HbA_1c from baseline. The baseline characteristics of those who did and did not achieve HbA_1c <7.0% were compared, as were those with improvement, no change, or deterioration in HbA_1c. Characteristics of patients who were unable to achieve HbA_1c <7.0%, further grouped according to whether or not they achieved FPG ≤6.1 mmol/L, were also compared. Logistic regression analysis was used to identify factors associated with achieving HbA_1c <7.0%.

RESULTS

Comparison between subgroups demonstrated that patients with endpoint HbA_1c <7.0% were significantly younger, with a shorter duration of diabetes and lower baseline FPG, HbA_1c, body mass index, and dose of premixed insulin than patients with endpoint HbA_1c ≥7.0%. Logistic regression analysis revealed a negative correlation between baseline age, HbA_1c, FPG, and duration of diabetes with achieving HbA_1c <7.0%. When stratified according to change in HbA_1c, the improvement group was younger, with higher baseline HbA_1c and a greater number of patients with duration of diabetes ≤5 years. Three-quarters of patients unable to achieve HbA_1c <7.0% also failed to reach FPG ≤6.1 mmol/L.

CONCLUSION

Younger patients with a shorter duration of diabetes and lower HbA_1c, FPG, and premixed insulin dose following a switch in treatment to insulin glargine (100 U/ml) plus OADs from premixed insulin have greater potential to achieve HbA_1c <7.0%. Poorly controlled patients with higher baseline HbA_1c are most likely to experience an improvement in HbA_1c following the switch in therapy. The majority of patients unable to achieve HbA_1c <7.0% also failed to reach FPG ≤6.1 mmol/L, highlighting the importance of adequate titration of insulin glargine to achieve adequate FPG control, which can enable achievement of target HbA_1c.

FUNDING

Sanofi.

How Consistent is the Relationship between Improved Glucose Control and Modelled Health Outcomes for People with Type 2 Diabetes Mellitus? a Systematic Review

BACKGROUND

There are an increasing number of studies using simulation models to conduct cost-effectiveness analyses for type 2 diabetes mellitus.

OBJECTIVE

To evaluate the relationship between improvements in glycosylated haemoglobin (HbA_1c) and simulated health outcomes in type 2 diabetes cost-effectiveness studies.

METHODS

A systematic review was conducted on MEDLINE and EMBASE to collect cost-effectiveness studies using type 2 diabetes simulation models that reported modelled health outcomes of blood glucose-related interventions in terms of quality-adjusted life-years (QALYs) or life expectancy (LE). The data extracted included information used to characterise the study cohort, the intervention's treatment effects on risk factors and model outcomes. Linear regressions were used to test the relationship between the difference in HbA_1c (∆HbA_1c) and incremental QALYs (∆QALYs) or LE (∆LE) of intervention and control groups. The ratio between the ∆QALYs and ∆LE was calculated and a scatterplot between the ratio and ∆HbA_1c was used to explore the relationship between these two.

RESULTS

Seventy-six studies were included in this research, contributing to 124 pair of comparators. The pooled regressions indicated that the marginal effect of a 1% HbA_1c decrease in intervention resulted in an increase in life-time QALYs and LE of 0.371 (95% confidence interval 0.286-0.456) and 0.642 (95% CI 0.494-0.790), respectively. No evidence of heterogeneity between models was found. An inverse exponential relationship was found and fitted between the ratio (∆QALY/∆LE) and ∆HbA_1c.

CONCLUSION

There is a consistent relationship between ∆HbA_1c and ∆QALYs or ∆LE in cost-effectiveness analyses using type 2 diabetes simulation models. This relationship can be used as a diagnostic tool for decision makers.

Systematic Review of the Cost Effectiveness of Insulin Analogues in Type 1 and Type 2 Diabetes Mellitus

BACKGROUND

Insulin analogues have a pharmacokinetic advantage over human insulin and are increasingly used to treat diabetes mellitus. A summary of their cost effectiveness versus other available treatments was required.

OBJECTIVE

Our objective was to systematically review the published cost-effectiveness studies of insulin analogues for the treatment of patients with type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM).

METHODS

We searched major databases and health technology assessment agency reports for economic evaluation studies published up until 30 September 2015. Two reviewers performed data extraction and assessed the quality of the data using the CHEERS (Consolidated Health Economic Evaluation Reporting Standards) guidelines.

RESULTS

Seven of the included studies assessed short-acting insulin analogues, 12 assessed biphasic insulin analogues, 30 assessed long-acting insulin analogues and one assessed a combination of short- and long-acting insulin analogues. Only 17 studies involved patients with T1DM, all were modelling studies and 12 were conducted in Canada. The incremental cost-effectiveness ratios (ICERs) for short-acting insulin analogues ranged from dominant to $US435,913 per quality-adjusted life-year (QALY) gained, the ICERs for biphasic insulin analogues ranged from dominant to $US57,636 per QALY gained and the ICERs for long-acting insulin analogues ranged from dominant to $US599,863 per QALY gained. A total of 15 studies met all the CHEERS guidelines reporting quality criteria. Only 26 % of the studies assessed heterogeneity in their analyses.

CONCLUSION

Current evidence indicates that insulin analogues are cost effective for T1DM; however, evidence for their use in T2DM is not convincing. Additional evidence regarding compliance and efficacy is required to support the broader use of long-acting and biphasic insulin analogues in T2DM. The value of insulin analogues depends strongly on reductions in hypoglycaemia event rates and its efficacy in lowering glycated haemoglobin (HbA_1c).

CONSENSUS STATEMENT BY THE AMERICAN ASSOCIATION OF CLINICAL ENDOCRINOLOGISTS AND AMERICAN COLLEGE OF ENDOCRINOLOGY ON THE COMPREHENSIVE TYPE 2 DIABETES MANAGEMENT ALGORITHM--2015 EXECUTIVE SUMMARY

This document represents the official position of the American Association of Clinical Endocrinologists and the American College of Endocrinology. Where there were no randomized controlled trials or specific U.S. FDA labeling for issues in clinical practice, the participating clinical experts utilized their judgment and experience. Every effort was made to achieve consensus among the committee members. Position statements are meant to provide guidance, but they are not to be considered prescriptive for any individual patient and cannot replace the judgment of a clinician.

HTA agencies facing model biases: the case of type 2 diabetes

When evaluating new drugs or treatments eligible for reimbursement, health technology assessment (HTA) agencies are repeatedly faced with cost-effectiveness analyses that evidence lack of adequate data and modeling biases. The case of type 2 diabetes illustrates this difficulty. In spite of its high disease burden, type 2 diabetes is poorly documented through existing cost-effectiveness analyses. We support this statement by an exhaustive literature review that enables us to precisely pinpoint the limitations of models used for the assessment of newly marketed (and expensive) drugs. We find that models are mostly restricted to surrogate endpoints and based on non-inferiority clinical trial data; they also show biases in the choice of comparators and inclusion criteria. Such limitations undermine the scope and applicability of HTA practice guidelines based on cost-effectiveness evidence. Nevertheless, cost-effectiveness models remain an opportunity to better inform decision makers and to reduce the uncertainty surrounding their decisions. HTA agencies are best placed to provide incentives for companies to improve the quality of the cost-effectiveness studies submitted for pricing and reimbursement decisions. One such incentive is to include stages of discussion between the company and the health authority during the evaluation process.

Identifying and meeting the challenges of insulin therapy in type 2 diabetes

Type 2 diabetes mellitus (T2DM) is a chronic illness that requires clinical recognition and treatment of the dual pathophysiologic entities of altered glycemic control and insulin resistance to reduce the risk of long-term micro- and macrovascular complications. Although insulin is one of the most effective and widely used therapeutic options in the management of diabetes, it is used by less than one-half of patients for whom it is recommended. Clinician-, patient-, and health care system-related challenges present numerous obstacles to insulin use in T2DM. Clinicians must remain informed about new insulin products, emerging technologies, and treatment options that have the potential to improve adherence to insulin therapy while optimizing glycemic control and mitigating the risks of therapy. Patient-related challenges may be overcome by actively listening to the patient’s fears and concerns regarding insulin therapy and by educating patients about the importance, rationale, and evolving role of insulin in individualized self-treatment regimens. Enlisting the services of Certified Diabetes Educators and office personnel can help in addressing patient-related challenges. Self-management of diabetes requires improved patient awareness regarding the importance of lifestyle modifications, self-monitoring, and/or continuous glucose monitoring, improved methods of insulin delivery (eg, insulin pens), and the enhanced convenience and safety provided by insulin analogs. Health care system-related challenges may be improved through control of the rising cost of insulin therapy while making it available to patients. To increase the success rate of treatment of T2DM, the 2012 position statement from the American Diabetes Association and the European Association for the Study of Diabetes focused on individualized patient care and provided clinicians with general treatment goals, implementation strategies, and tools to evaluate the quality of care.

Insulin therapy in type 2 diabetes mellitus

Health care providers and patients have lots of choice to treat type 2 diabetes, but the blood glucose improvement is limited. The one therapy with unlimited potential (at least theoretically) is insulin. Many studies show that glucose control is achievable with insulin safely in most patients with type 2 diabetes. Effective diabetes management at the primary care or specialty level requires a belief in the importance of insulin therapy in uncontrolled patients with type 2 diabetes. This review details the theories, observed outcomes, and how-tos regarding insulin use in type 2 diabetes.

Modeling the lifetime costs of insulin glargine and insulin detemir in type 1 and type 2 diabetes patients in Canada: a meta-analysis and a cost-minimization analysis

BACKGROUND

Two basal insulin analogues, insulin glargine once daily and insulin detemir once or twice daily, are marketed in Canada.

OBJECTIVE

To estimate the long-term costs of insulin glargine once daily (QD) versus insulin detemir once or twice daily (QD or BID) for type 1 (T1DM) and type 2 (T2DM) diabetes mellitus from a Canadian provincial government's perspective.

METHODS

A cost-minimization analysis comparing insulin glargine (IGlarg) to insulin detemir (IDet) was conducted using a validated computer simulation model, the CORE Diabetes Model. Lifetime direct medical costs including costs of insulin treatment and diabetes complications were projected. T1DM and T2DM patients' daily insulin dose (T1DM: IGlarg QD 26.2 IU; IDet BID 33.6 IU; T2DM: IGlarg QD 47.2 IU; IDet QD 65.7 IU or IDet BID 80.4 IU) was derived from a meta-analysis of randomized trials. All patients were assumed to stay on the same treatment for life. Costs were discounted at 5% per annum and reported in 2010 Canadian Dollars.

RESULTS

The meta-analysis showed T1DM and T2DM patients had similar HbA(1c) change from baseline when receiving IGlarg compared to IDet (T1DM: 0.002%-points; p = 0.97; T2DM: -0.05%-points; p = 0.28). Treatment of T1DM patients with IGlarg versus IDet BID resulted in lifetime cost savings of $4231 per patient. Treatment of T2DM patients with IGlarg resulted in lifetime cost savings of $4659 per patient versus IDet QD and cost savings of $8709 per patient versus IDet BID.

CONCLUSIONS

Similar HbA(1c) change from baseline can be achieved with a lower IGlarg than IDet dose. From the perspective of a Canadian provincial government, treatment of T1DM and T2DM patients with IGlarg instead of IDet can generate long-term cost savings. Main limitations include trial data were derived from multi-country studies rather than the Canadian population and self-monitoring blood glucose costs were not included.