Clinical and economic considerations based on persistency with a novel insulin delivery device versus conventional insulin delivery in patients with type 2 diabetes: A retrospective analysis

Pharmacological and Benefit-Risk Profile of Once-Weekly Basal Insulin Administration (Icodec): Addressing Patients' Unmet Needs and Exploring Future Applications

Diabetes mellitus (DM) is a chronic metabolic disease affecting over 500 million people worldwide, which leads to severe complications and to millions of deaths yearly. When therapeutic goals are not reached with diet, physical activity, or non-insulin drugs, starting/adding insulin treatment is recommended by international guidelines. A novel recombinant insulin is icodec, a once-weekly insulin that successfully completed phase III trials and that has recently obtained the marketing authorization approval from the European Medicines Agency. This narrative review aims to assess icodec pharmacological and clinical features concerning evidence on benefit-risk profile, as compared to other basal insulins, addressing the potential impact on patients' unmet needs. Icodec is a full agonist, recombinant human insulin analogue characterized by an ultra-long half-life (196 h), enabling its use in once-weekly administration. Phase III randomized clinical trials involving more than 4000 diabetic patients, mostly type 2 DM, documented non-inferiority of icodec, as compared to currently available basal insulins, in terms of estimated mean reduction of glycated hemoglobin levels; a superiority of icodec, compared to control, was confirmed in insulin-naïve patients (ONWARDS 1, 3, and 5), and in patients previously treated with basal insulin (ONWARDS 2). Icodec safety profile was comparable to the currently available basal insulins. Once-weekly icodec has the potential to improve patients' adherence, thus positively influencing patients' treatment satisfaction as well as quality of life, especially in type 2 DM insulin-naïve patients. An improved adherence might positively influence glycemic target achievement, reduce overall healthcare costs and overcome some of the unmet patients' needs. Icodec has the potential to emerge as a landmark achievement in the evolution of insulin therapy, with a positive impact also for the National Health Services and the whole society.

Predicting Response to Bolus Insulin Therapy in Patients With Type 2 Diabetes

BACKGROUND

The aim of this study was to develop a predictive model to classify people with type 2 diabetes (T2D) into expected levels of success upon bolus insulin initiation.

METHODS

Machine learning methods were applied to a large nationally representative insurance claims database from the United States (dNHI database; data from 2007 to 2017). We trained boosted decision tree ensembles (XGBoost) to assign people into Class 0 (never meeting HbA1c goal), Class 1 (meeting but not maintaining HbA1c goal), or Class 2 (meeting and maintaining HbA1c goal) based on the demographic and clinical data available prior to initiating bolus insulin. The primary objective of the study was to develop a model capable of determining at an individual level, whether people with T2D are likely to achieve and maintain HbA1c goals. HbA1c goal was defined at <8.0% or reduction of baseline HbA1c by >1.0%.

RESULTS

Of 15 331 people with T2D (mean age, 53.0 years; SD, 8.7), 7800 (50.9%) people met HbA1c goal but failed to maintain that goal (Class 1), 4510 (29.4%) never attained this goal (Class 0), and 3021 (19.7%) people met and maintained this goal (Class 2). Overall, the model's receiver operating characteristic (ROC) was 0.79 with greater performance on predicting those in Class 2 (ROC = 0.92) than those in Classes 0 and 1 (ROC = 0.71 and 0.62, respectively). The model achieved high area under the precision-recall curves for the individual classes (Class 0, 0.46; Class 1, 0.58; Class 2, 0.71).

CONCLUSIONS

Predictive modeling using routine health care data reasonably accurately classified patients initiating bolus insulin who would achieve and maintain HbA1c goals, but less so for differentiation between patients who never met and who did not maintain goals. Prior HbA1c was a major contributing parameter for the predictions.

Current Status of Weekly Insulin Analogs and Their Pharmacokinetic/Pharmacodynamic Evaluation by the Euglycemic Clamp Technique

Diabetes mellitus represents a significant global health threat characterized by hyperglycemia caused by inadequate insulin secretion and/or insulin resistance. Exogenous insulin supplements had been recognized as a crucial treatment for achieving successful glycemic control in patients with Type 1 and most patients with Type 2 diabetes. Over the past century, substantial progress has been made in the development of novel insulin formulations, including the super-fast-acting and long-acting basal insulin analogs, of which the latter is indispensable for the management of nocturnal fasting and intraprandial blood glucose within the normal physiological range. Recently, combining chemical and genetic engineering with drug optimization have resulted in a formidable evolution in ultra-long-acting weekly insulin. Here, the current state of once-weekly insulin analogs and the euglycemic clamp technique used in the early clinical development to elucidate the pharmacokinetics and pharmacodynamics of this type of novel weekly insulin analogs were systematically overviewed.

Adherence and Persistence to Insulin Therapy in People with Diabetes: Impact of Connected Insulin Pen Delivery Ecosystem

Diabetes is an increasing public health problem, and insulin is the mainstay for treatment of type 1 diabetes. In type 2 diabetes treatment, insulin therapy is used after oral or other injectable agents become inadequate to achieve glycemic control. Despite the advances in insulin therapy, management of diabetes remains challenging. Numerous studies have reported low adherence and persistence to insulin therapy, which acts as a barrier to successful glycemic control and diabetes management. The aim of this targeted review article is to provide an overview of adherence and persistence to insulin therapy in people with diabetes and to discuss the impact of the emergence of a new connected ecosystem of increasingly sophisticated insulin pens, glucose monitoring systems, telemedicine, and mHealth on diabetes management. With the emergence of a connected diabetes ecosystem, we have entered an era of advanced personalized insulin delivery, which will have the potential to enhance diabetes self-management and clinical management. Early systems promise to unlock the potential to address missed or late bolus insulin delivery, which should help to address non-adherence and non-persistence. Over time, improvements in this ecosystem have the potential to combine insulin data with previously missing contextualized patient data, including meal, glucose, and activity data to support personalized clinical decisions and ultimately revolutionize insulin therapy.

Clinical Evaluation of Basal-Bolus Therapy Delivered by the V-Go® Wearable Insulin Delivery Device in Patients with Type 2 Diabetes: A Retrospective Analysis

Insulin therapy is frequently required to achieve glycemic targets (A1c) in type 2 diabetes (T2D); however, clinicians and patients face barriers with the complexities of multiple daily injection regimens. Patch-like wearable insulin devices, such as V-Go, may simplify and optimize this complexity. This study evaluated the change in A1C and insulin total daily dose (TDD) in a suboptimally-controlled (not achieving A1C targets) T2D population after switching to V-Go. A retrospective chart analysis at a diabetes clinic was performed to evaluate change in A1c measurements from baseline (V-Go initiation) to end of study observation. Of the 139 patients enrolled, A1C significantly decreased from baseline (−1.5 ± 1.79%; p < 0.001). Patients prescribed insulin at baseline (n = 122) used significantly less insulin TDD (−8 u/day; p = 0.006). The percentage of patients meeting the target of A1C < 8% increased from 14% at baseline to 48% at study completion (p = 0.008). Patients prescribed a basal-bolus regimen prior to V-Go achieved an A1C reduction of 1.5 ± 2.0% (p < 0.0001) and experienced the greatest reduction in TDD (−24 u/day; p < 0.0001). Thus, patients switching to V-Go from a variety of therapies at baseline experienced reductions in A1C while using less insulin, with a reduction in clinically relevant hypoglycemia, indicating the potential benefit of V-Go in optimizing and simplifying T2D care.

Efficacy, safety and cost-effectiveness comparison between U-100 human regular insulin and rapid acting insulin when delivered by V-Go wearable insulin delivery device in type 2 diabetes

INTRODUCTION

We compared the efficacy and safety of human regular insulin (HRI) versus rapid-acting insulin (RAI) in a type 2 diabetes population already using the V-Go insulin delivery device.

RESEARCH DESIGN AND METHODS

This was a 14-week, multicenter, randomized, open-label, parallel-group, phase IV, non-inferiority study. Patients ≥21years of age, with inadequately controlled type 2 diabetes who were currently using the V-Go insulin delivery system with RAI, with glycated hemoglobin (HbA1c) ≥6.5% (≥48 mmol/L) to ≤12.5% (≤108 mmol/L) were randomized 1:1 to RAI continuation or switch to HRI. The primary outcome was estimated treatment difference (ETD) in HbA1c least-squares mean change from baseline at 14 weeks (prespecified non-inferiority hypothesis with 95% CI upper limit <0.4%). Primary analysis was by per protocol (PP); safety analysis was by intention to treat.

RESULTS

We randomized 136 patients to continued RAI treatment (n=67) or HRI (n=69); 113 patients were included in the PP analysis (RAI, n=54; HRI, n=59). Mean change in HbA1c from baseline to study end was -0.60±1.1% (95% CI -0.90 to -0.29); -6.6±12.0 mmol/mol (95% CI -9.8 to -3.2) with HRI treatment and -0.38±1.3% (95% CI -0.70 to -0.05); -4.2±14.2 mmol/mol (95% CI -7.7 to -0.5) with RAI treatment, with ETD of -0.22% (95% CI -0.67 to 0.22); -2.4 mmol/mol (95% CI -7.3 to 2.4), p=0.007, confirming non-inferiority of HRI to RAI. No between-group differences in changes in total daily insulin doses, number of hypoglycemic values (≤70 mg/dL (≤39 mmol/L) or body weight were observed. No severe hypoglycemic events were reported. Direct pharmacy cost savings (-US$265.85; 95% CI -US$288.60 to -US$243.11; p<0.0001) were observed with HRI treatment.

CONCLUSIONS

Individuals with type 2 diabetes requiring insulin can be treated with V-Go wearable insulin delivery device using HRI, safely and effectively, and potentially at a much lower cost compared with RAI, which can lead to improved access to insulin therapy for these individuals.

TRIAL REGISTRATION NUMBER

NCT03495908.

Multicenter Real-World Assessment of the Effectiveness of V-Go Wearable Insulin Delivery Device in Adult Patients with Type 2 Diabetes (ENABLE Study): A Retrospective Analysis

Purpose

Patch-like wearable insulin delivery devices are gaining acceptance as a treatment modality for insulin delivery in patients with diabetes. These devices aim to simplify and optimize insulin delivery while reducing barriers associated with a basal-bolus insulin regimen. As clinicians aim to learn more about this method of insulin delivery, real-world evidence can provide insight for patient identification and treatment guidance. This study was performed to evaluate the change in glycemic control (A1C) and insulin total daily dose (TDD) after switching to V-Go wearable insulin delivery device in a type 2 diabetes population with suboptimal control using conventional insulin delivery regimens.

Patients and Methods

Electronic health records were queried to identify patients meeting inclusion criteria. Study objectives evaluated change in A1C and insulin TDD compared to baseline. A total of 283 patients were enrolled across 9 diabetes specialty sites.

Results

A1C significantly decreased from baseline at 3 months (−1.01% ± 0.09; P=0.0001) and 7 months (−1.04% ± 0.10; P<0.0001) after switching to V-Go. TDD of insulin significantly decreased at 3 months (−17 ± 3 U/day; P<0.0001) and 7 months (−14 ± 3 U/day; P<0.0001). Stratifying by prescribed baseline insulin regimen (basal-bolus, basal only or premix) or diabetes duration (<5 years to >20 years) demonstrated significant glycemic improvements from baseline with V-Go regardless of baseline regimen or duration of diabetes. After 7 months of V-Go use, the percent of patients considered high risk (A1C >9.0%) was reduced by nearly half (46% to 24%), and 52% of patients overall achieved an A1C <8%.

Conclusion

This study represents the largest real-world study of the effectiveness of V-Go in patients with type 2 diabetes. Significant improvements in glycemic control with a reduction in insulin utilization were achieved across varying baseline insulin regimens and regardless of diabetes duration supporting the clinical benefits of this patch-like wearable insulin delivery device.

Effectiveness of V-Go® for Patients with Type 2 Diabetes in a Real-World Setting: A Prospective Observational Study

BACKGROUND

V-Go is a wearable, patch-like, 24-h insulin delivery device that delivers both a continuous preset basal rate and on-demand bolus dosing. The aim of this study was to observe glycemic control, insulin dosing, and hypoglycemia risk in patients switched to V-Go in a real-world setting. The primary objective was to compare change in mean hemoglobin A1c (HbA1c) from baseline to the end of V-Go use.

METHODS

This prospective, open-label, multicenter study recruited patients with type 2 diabetes (T2D) and suboptimal glycemic control (HbA1c ≥ 7%) across 28 centers. Efficacy analyses were conducted for all patients with a post-baseline HbA1c and results stratified based on prior antihyperglycemic medication therapies. Insulin dosing was at the discretion of the health care provider and the protocol did not mandate glycemic targets. Treatment satisfaction surveys were utilized to gain patient feedback on the use of V-Go.

RESULTS

One hundred eighty-eight patients were enrolled in the study, among whom 140 patients had a valid post-baseline HbA1c and were included in the primary efficacy analysis. Use of V-Go resulted in a change of - 0.64%; (P = 0.003) in HbA1c from baseline, and in those prescribed insulin, the total daily dose of insulin was decreased by 12 units/day (P < 0.0001). Twenty-two patients (12%) reported hypoglycemic events (≤ 70 mg/dL), with an event rate of 1.51 events/patient/year.

CONCLUSION

In a T2D population with suboptimal HbA1c, initiating V-Go therapy in a real-world setting significantly improved glycemic control and led to significant insulin dose reductions. ClinicalTrial.gov registry identifier: NCT01326598.