Determinants of glycaemic control in a practice setting: the role of weight loss and treatment adherence (The DELTA Study)

Effect of patient characteristics on the efficacy and safety of imeglimin monotherapy in Japanese patients with type 2 diabetes mellitus: A post-hoc analysis of two randomized, placebo-controlled trials

AIMS/INTRODUCTION

Substantial variability in demographic and clinical characteristics exists among patients with type 2 diabetes mellitus, which may impact treatment. This post-hoc analysis evaluated the efficacy and safety of imeglimin 1,000 mg twice daily (BID) monotherapy in type 2 diabetes mellitus patients according to demographic and clinical characteristics.

MATERIALS AND METHODS

Data were pooled from two placebo-controlled, 24 week, randomized, double-blind studies in adults with type 2 diabetes mellitus. Outcomes (least squares mean [LSM] change in HbA1c from baseline to week 24, and safety) were analyzed according to subgroups based on demographics, clinical characteristics, and comorbidities.

RESULTS

The difference in LSM change in HbA1c from baseline to week 24 was statistically significant for imeglimin vs placebo in all patient subgroups analyzed (P < 0.05 each), including demographics (age, body mass index), clinical characteristics (duration of type 2 diabetes mellitus, chronic kidney disease [CKD] stage, and prior medication use) and comorbidities (hypertension, dyslipidemia, risk of hepatic fibrosis and liver function parameter status). A statistically significant separation from placebo in HbA1c was observed at week 4 and maintained through week 24. No new safety concerns were identified with imeglimin in any patient subpopulations.

CONCLUSIONS

The efficacy and safety of imeglimin was demonstrated across patient subgroups, irrespective of baseline demographic and clinical characteristics. Our findings confirm the efficacy and safety of imeglimin across a broad spectrum of patients with type 2 diabetes mellitus.

Treatment-Related Attributes of Diabetes Therapies and How People with Type 2 Diabetes Report Their Impact on Indicators of Medication-Taking Behaviors

Purpose

Understanding the treatment-related attributes influencing medication-taking behaviors in people with type 2 diabetes (T2D) is important for delivery of patient-centered care. This review aimed to identify and summarize studies in which people with T2D (PwD) directly indicated the treatment-related attributes associated with medication-taking behaviors or intentions.

Materials and Methods

EMBASE and PubMed were searched for studies (Jan 2005-May 2021) reporting the link between PwD-expressed diabetes treatment-related attributes and the decision to initiate, adhere to, or discontinue a T2D medication. Eligible studies reported attributes associated with oral antidiabetes drugs or injectables (not insulin). Studies not explicitly exploring the link between attributes and indicators of behaviors (eg most discrete-choice experiments [DCE] and those interrogating electronic medical records or claims databases) were excluded, as were studies where the link between attribute and behavior came from anyone but the PwD.

Results

Of the 6464 studies identified, 16 were included. Studies were conducted across multiple countries; the USA was most represented (n = 8 studies). The impact of treatment attributes was described on indicators of initiation (n = 3), adherence (n = 12), and discontinuation (n = 4). Some studies evaluated multiple behaviors. PwD perspectives were solicited by structured questionnaires (n = 10), qualitative approaches (n = 4), or DCE explicitly exploring the link to medication-taking behaviors (n = 2). Closed- (n = 9) and open-ended questions (n = 7) were employed. Across studies, several factors including glycemic efficacy (n = 9), weight change (n = 9), dosing frequency (n = 9), hypoglycemia (n = 8), gastrointestinal adverse events (n = 8), regimen complexity (n = 6), route of administration (n = 3), and cardiovascular risk (n = 1) were reported as influencing behaviors, being motivators or barriers to initiation, adherence, or discontinuation.

Conclusion

Several attributes influence how PwD take their medications. Insights gained directly from PwD have the potential to assist stakeholders in making more informed, patient-centered, treatment decisions, thus choosing and managing medications that PwD are comfortable initiating and persisting with over the longer term.

Weight Change and the Association with Adherence and Persistence to Diabetes Therapy: A Narrative Review

PURPOSE

Type 2 diabetes (T2D) medication adherence is poor and is impacted by individual drug characteristics. Treatment-associated weight change can affect medication-taking behavior. This review aimed to explore weight change on T2D therapy and consider its impact on adherence and discontinuation.

METHODS

Searches were conducted in MEDLINE and EMBASE (2005 to September 2020), and among recent congress abstract books for studies providing data on medication adherence or discontinuation and weight change in people with T2D (PwD).

RESULTS

Nine studies meeting the inclusion criteria were identified from 9188 bibliographic records. All three studies exploring weight change and discontinuation reported weight loss to be associated with higher persistence. Seven studies of varying design explored weight change and adherence. Four reported absolute weight change (kg) and adherence: one pooled data from different diabetes medications and demonstrated that self-reported adherence was significantly associated with weight loss; however, three studies found that weight change in adherent PwD was in the direction of the known weight profile (loss/gain) of the evaluated drug. Categorical weight loss (≥3%) and adherence were reported in two studies: one reported that numerically more adherent versus non-adherent PwD lost ≥3% weight regardless of the drug's weight profile, the other showed that early weight loss with a glucagon-like peptide-1 agonist was significantly associated with better adherence. One study reported adherence by categorical weight change; as weight loss increased, adherence scores improved, regardless of drug type.

CONCLUSION

Findings suggest that discontinuation rates may be lower in PwD who lose as compared to those who gain weight on T2D treatment. The evidence base on adherence and weight change is more challenging to interpret due to the range of study designs. Given the importance of weight control in T2D, further research exploring the individual's treatment, weight journey, and behaviors over time should be undertaken.

Evaluation of a community pharmacy-based medication therapy management programme: A study protocol of a pilot randomized controlled trial with an embedded qualitative study

Objectives

The main objectives are: to evaluate the feasibility and effectiveness of a community-pharmacy based medication therapy management programme; to explore patients’ experiences and views towards medication therapy management service delivered by community pharmacists.

Research design and methods

A mixed-methods research design consisting of a pilot randomized controlled trial embedded with qualitative study will be used in this study. The study consists of two phases: a 6-month follow-up pilot randomized control trial (quantitative approach) to assess the feasibility and effectiveness of a community pharmacy-based medication therapy management programme. The primary outcome is HbA1C and secondary outcomes include: clinical and health services utilization and process measures, medication adherence, diabetes distress as well as satisfaction with care. Phase two consists of an embedded qualitative study using semi-structured interviews to explore patients’ experiences and views with the medication therapy management programme. Study data collection will be collected between April 2021 and December 2021.

Ethics consideration

The study has been approved by institutional review boards from Princess Nourah bent Abdulrahman University (Approval # 20–0240), King Fahad Medical City (Approval # 20-388E) and Birmingham University (Approval # ERN_20-0768).

Levoketoconazole in the Treatment of Patients With Cushing's Syndrome and Diabetes Mellitus: Results From the SONICS Phase 3 Study

Background

Cushing's syndrome (CS) is associated with numerous comorbidities, including diabetes mellitus (DM). Levoketoconazole, an orally administered ketoconazole stereoisomer, is in clinical trials for the treatment of CS.

Methods

SONICS, a prospective, open-label, phase 3 study in adults with confirmed CS and mean 24-h urinary free cortisol (mUFC) ≥1.5× ULN, included dose-titration, 6-month maintenance, and 6-month extension phases. This subanalysis evaluated the efficacy of levoketoconazole in patients with DM (n = 28) or without DM (n = 49) who entered the maintenance phase. Safety was evaluated in the overall population (N = 94) during the dose-titration and maintenance phases.

Results

Normalization of mUFC at the end of maintenance phase (EoM), without a dose increase during maintenance (SONICS primary endpoint) was observed in 46% of patients with DM (95% CI, 28 to 66%; P = 0.0006 vs null hypothesis of ≤20%) and 33% of patients without DM (95% CI, 20 to 48%; P = 0.0209). At EoM, mean HbA1c decreased from 6.9% at baseline to 6.2% in patients with DM and from 5.5 to 5.3% in patients without DM. Mean fasting blood glucose decreased from 6.85 mmol/L (123.4 mg/dl) to 5.82 mmol/L (104.9 mg/dl) and from 5.11 mmol/L (92.1 mg/dl) to 4.66 mmol/L (84.0 mg/dl) in patients with and without DM, respectively. Adverse events that were more common in patients with DM included nausea (58.3%), vomiting (19.4%), and urinary tract infection (16.7%); none prompted study drug withdrawal.

Conclusions

Treatment with levoketoconazole led to sustained normalization of mUFC and improvement in glycemic control that was more pronounced in patients with DM.

Clinical Trial Registration

(ClinicalTrials.gov), NCT01838551.

Impact of Weight Change in Adults with Type 2 Diabetes Mellitus: A Literature Review and Critical Analysis

Objective

Weight reduction is a key component of diabetes management in adults with type 2 diabetes mellitus (T2DM), yet the benefits of weight loss in T2DM patients have been difficult to quantify. We examined the medical literature regarding the relationships between weight change and 1) glycemic control and 2) cost and resource use.

Methods

Systematic searches were conducted in the electronic databases Embase, MEDLINE, and the Cochrane Database of Systematic Reviews to identify publications regarding the impact of weight change on T2DM outcomes from 2007 onward. Identified publications were screened for relevance against predefined eligibility criteria, and methodological approaches and results were extracted. Evidence for the impact of weight change on outcomes was evaluated and used to identify strengths, limitations, and gaps in the current literature.

Results

The number of studies meeting eligibility criteria for each outcome was: glycemic control (n=38) and cost and resource use (n=11). The relationship between weight change and glycemic control was dependent on the interplay of multiple factors, eg, the weight loss interventions employed, the antidiabetic medication classes used, the time horizon, and baseline BMI and glycemic control. With respect to cost and resource use, the review indicated that savings were associated with weight loss, and increased costs were associated with weight gain.

Conclusion

Studies regarding weight change in T2DM patients demonstrated varying effects on glycemic control and a positive association with costs and resource use, where weight loss was associated with decreased costs and resource use. Future studies may be able to clarify these relationships.

Effect of ramadan fasting on glycemic control and other essential variables in diabetic patients

Background

Fasting during the holy month of Ramadan is a religious obligation for all Muslims who represent 1.8 billion of the world population (24%). This study explores the effect of Ramadan fasting on the blood glucose, glycated hemoglobin (HbA1c), lipid profile, sleeping quality, and essential lifestyle parameters and also explores the safety of fasting for a whole month among diabetic patients.

Aim

The aim of the present study was to assess the impact of Ramadan fasting on the blood glucose, HbA1c, lipid profile, sleeping quality, and lifestyle parameters among patients with type 2 diabetes mellitus (T2DM) in Turkey.

Subjects and Methods

A total of 1780 diabetic patients were approached, and 1246 (70%) participated in this cross-sectional study carried out during the period from May 27, 2017, to June 24, 2017. Data analysis comprised sociodemographic features, lifestyle habits, blood pressure measurements, serum lipid profiles, serum calcium, Vitamin D 25-hydroxy, uric acid, and HbA1c at before 4 weeks and after 12 weeks from Ramadan.

Results

Out of 1246 patients, 593 (47.6%) were male and 653 (52.4%) were female. The mean ± standard deviation age of the patients was 50.39 ± 15.3 years. Males were significantly older than females (51.53 ± 12.56 vs. 49.26 ± 14.4; P = 0.003, respectively). Significant differences were found in Vitamin D, blood glucose, HbA1c level, creatinine, bilirubin, albumin, total cholesterol, triglycerides, high-density lipoprotein-cholesterol (female), low-density lipoprotein-cholesterol (male), uric acid, and systolic and diastolic blood pressure after and before the holy month of Ramadan (P < 0.05 for each). HbA1c (P < 0.001), physical activity (P < 0.001), hours of sleeping (P < 0.001), systolic blood pressure (BP) (mmHg) (P = 0.007), BMI (P = 0.016), diastolic BP (mmHg) (P = 0.018), family history (P = 0.021), and smoking (P = 0.045) were identified as significantly associated with Ramadan fasting as contributing factors.

Conclusion

In one of the largest studies of its kind, we show that Ramadan fasting has positive effects on T2DM patients as it reduces their blood pressure, blood glucose, HbA1C, and BMI. Furthermore, there are improvements in the duration of sleep and physical activity, the role of Ramadan fasting in diabetes therapy has been confirmed.

Longitudinal changes in glycated haemoglobin following treatment intensification after inadequate response to two oral antidiabetic agents in patients with type 2 diabetes

AIMS

To identify change in glycated haemoglobin (HbA1c) for 1 year after treatment intensification in patients with HbA1c >53 mmol/mol (7.0%) while on two classes of oral antidiabetic drugs (OADs).

MATERIAL AND METHODS

A retrospective cohort study was conducted using a regional health plan claims database for the period January 1, 2010 to March 31, 2017. Patients with type 2 diabetes (T2DM) whose treatment was intensified with insulin, a glucagon-like peptide-1 receptor agonist or a third OAD within 365 days of having HbA1c ≥53 mmol/mol (7.0%) on two OADs were included. The HbA1c trajectory for 1 year after intensification was estimated using a mixed-effects regression model.

RESULTS

The analysis included 1226 patients with a mean ± SD HbA1c at treatment intensification of 74.2 ± 18.7 mmol/mol (8.93 ± 1.7%). HbA1c was higher in the insulin group (74.2 mmol/mol) than in the non-insulin group (70.6 mmol/mol), as was the HbA1c decrease (P < 0.01) over the 1-year follow-up, particularly in patients with baseline HbA1c >9%. After intensification, insulin- and non-insulin-treated patients achieved an average change by month in HbA1c of -4.7 mmol/mol and -2.6 mmol/mol points, respectively. The analysis predicted HbA1c to be the lowest at 6 to 10 months post intensification, depending on intensification treatment and HbA1c at intensification; however, on average, HbA1c remained above 64.0 mmol/mol (8.0%).

CONCLUSION

In patients with T2DM, intensification following an HbA1c value ≥53 mmol/mol (7.0%) while on two OADs was associated with a significant improvement in glycaemic control. Patients intensified with insulin had a higher baseline HbA1c but greater HbA1c reduction than those intensified with a non-insulin agent. However, HbA1c remained above 64 mmol/mol (8.0%) overall. Additional opportunity exists to further intensify therapy to improve glycaemic control.

Sodium-Glucose Co-Transporter 2 Inhibitors Compared with Sulfonylureas in Patients with Type 2 Diabetes Inadequately Controlled on Metformin: A Meta-Analysis of Randomized Controlled Trials

BACKGROUND AND OBJECTIVE

When metformin is insufficient for patients with type 2 diabetes mellitus (T2DM), the optimal adjunctive therapy is unclear. This meta-analysis was to compare the efficacy and safety of sodium-glucose co-transporter 2 (SGLT2) inhibitors with sulfonylureas (SUs) as second-line therapy in patients with T2DM inadequately controlled on metformin.

METHODS

We systematically searched PubMed, Embase, Cochrane Central Register of Controlled Trials, and ClinicalTrials.gov for randomized controlled trials comparing SGLT2 inhibitors with SUs as add-on to metformin. Our primary endpoints were glycemic control, hypoglycemia, and change in weight. We assessed pooled data using a random-effects model.

RESULTS

Five trials involving 4300 participants were included in our meta-analysis. Compared with SUs, SGLT2 inhibitors led to no significant reduction in changes in HbA1c (mean difference [MD] - 0.06; 95% confidence interval [CI] [- 0.12, 0.08]), but less hypoglycemia as add-on to metformin (odds ratio [OR] 0.12; 95% CI [0.07, 0.21]). SGLT2 inhibitors led to a reduction in weight by about 3.5 kg; however, SUs caused a gain in weight by about 1 kg (MD - 4.39; 95% CI [- 4.64, - 4.14]). SGLT2 inhibitors also showed a reduction in blood pressure, but increased the incidence of genital tract infections compared with SUs. Interestingly, subgroup analysis by duration of interventions showed that reduction of HbA1c from baseline was similar between the two groups at 12-52 weeks, but SGLT2 inhibitors led to a greater reduction in HbA1c at 104-208 weeks.

CONCLUSIONS

Despite similar glycemic efficacy in a relatively short term, SGLT2 inhibitors are more effective in the longer term than SUs as add-on to metformin. In addition, SGLT2 inhibitors produce less hypoglycemic events and lead to greater reductions in weight and blood pressure compared with SUs.

The Effect of Early Response to GLP-1 RA Therapy on Long-Term Adherence and Persistence Among Type 2 Diabetes Patients in the United States

BACKGROUND

Treatment adherence and persistence are crucial to achieve glycemic control in patients with type 2 diabetes (T2D). Early response to a new therapy may lead to improved treatment adherence and associated outcomes.

OBJECTIVE

To assess the effect of early response to glucagon-like peptide-1 receptor agonist (GLP-1 RA) therapy, as indicated by reduced hemoglobin A1c (A1c) and body weight, on long-term adherence and persistence.

METHODS

Adults aged ≥ 18 years with T2D initiated with GLP-1 RA therapy after January 1, 2010, were identified from the IBM Explorys Therapeutic Dataset. Patients were required to have health care utilization ≥ 6 months before and ≥ 18 months after the index prescription. Changes in A1c and body weight from baseline through 6 months were assessed for all patients; early response was defined by > 1% reduction in A1c and > 3% reduction in body weight within 3-6 months. Adherence (assessed as the proportion of days covered [PDC] ≥ 80%) and nonpersistence/discontinuation (indicated by a gap in therapy ≥ 60 days) over 18 months were evaluated among early responders versus nonresponders. Multivariable logistic regression was used to assess the effect of early response to GLP-1 RA therapy on adherence and discontinuation over 18 months.

RESULTS

Among 8,329 identified patients, 33.3% and 31.2% experienced early response as indicated by reductions in A1c > 1% point and in body weight > 3% from baseline, respectively. Significantly higher proportions (P < 0.001) of early responders in both reduced A1c and body weight were adherent over 18 months compared with patients without an early response (A1c: 45.0% vs. 37.1%; body weight: 43.3% vs. 38.0%). Significantly lower proportions (P < 0.001) of early responders discontinued over 18 months compared with patients without an early response (A1c: 61.4% vs. 67.9%; body weight: 61.9% vs. 67.5%). After controlling for baseline demographic and clinical characteristics including baseline weight, baseline A1c, oral antidiabetes drug use, insulin use, and the presence of comorbidity of diabetes, patients were more likely to be adherent over 18 months if they had reductions in A1c > 1% (OR = 1.59, 95% CI = 1.36-1.85) or body weight reduction > 3% (OR = 1.18, 95% CI = 1.02-1.36) at 3-6 months compared with those without an early response. Similarly, the early responders had significantly lower likelihood of discontinuation compared with those without early response (A1c > 1%; OR = 0.62, 95% CI = 0.53-0.72; body weight > 3%; OR = 0.81, 95% CI = 0.70-0.94).

CONCLUSIONS

Early response to GLP-1 RA therapy was associated with significantly increased adherence and reduced likelihood of discontinuation.

DISCLOSURES

Funding to conduct this study was provided to IBM Watson Health by Novo Nordisk A/S. The analysis was conducted independently by IBM Watson Health. Novo Nordisk A/S and IBM Watson Health collaborated on study design and interpretation of results. At the time of this study, Durden and Laing were employed by IBM Watson Health and received funding from Novo Nordisk to conduct this study. Fowler is employed by IBM Watson Health. Panton and Mocevic were employed by Novo Nordisk while this study was conducted. A portion of these results were presented at the AMCP Managed Care & Specialty Pharmacy Annual Meeting 2018; April 23-26, 2018; Boston, MA, where it was awarded with a bronze ribbon.

MARCH: factors associated with weight loss in patients with newly diagnosed type 2 diabetes treated with acarbose or metformin

INTRODUCTION

In this secondary analysis of the Metformin and AcaRbose in Chinese as the initial Hypoglycaemic treatment (MARCH) trial, we evaluated what demographic and clinical factors were associated with reduction in weight. We also assessed the effects of acarbose and metformin treatment on weight reduction.

MATERIAL AND METHODS

We analyzed the demographic and clinical laboratory values from the 784 patients with type 2 diabetes of the MARCH study who were treated for 48 weeks with acarbose or metformin. We determined the association of the different parameters with a weight reduction of ≥ 2 kg in patients using univariate and multivariate analysis.

RESULTS

In patients treated with acarbose, males were less likely than females to lose ≥ 2 kg of weight (p = 0.025). Higher baseline HbA_1c levels and lower decreases from baseline in fasting plasma glucose (FPG) levels after 48 weeks of treatment were negatively associated with losing ≥ 2 kg of weight (both, p < 0.05). Higher baseline glucagon AUC was also positively associated with reducing weight by ≥ 2 kg (p = 0.010). In patients treated with metformin, change from baseline in whole body insulin sensitivity increased the odds of having a weight reduction of ≥ 2 kg (p = 0.014).

CONCLUSIONS

This study found that for both acarbose and metformin, control of FPG significantly impacted weight loss. Baseline AUC for glucagon in patients treated with acarbose and an increase of whole body insulin sensitivity after 48 weeks of treatment with metformin were important factors for weight reduction.

CANadian CAnagliflozin REgistry: Effectiveness and safety of canagliflozin in the treatment of type 2 diabetes mellitus in Canadian clinical practice

AIM

There is limited information concerning the effects of canagliflozin (CANA), a sodium-glucose co-transporter 2 inhibitor (SGLT2i) in a real-world clinical setting in Canada. CanCARE is a 12-month, prospective, observational analysis to demonstrate the effectiveness and safety of CANA in usual clinical practice in Canada.

MATERIALS AND METHODS

SGLT2i-naïve adult patients with type 2 diabetes mellitus (T2DM) (n = 527) on a stable antihyperglycemic agent (AHA) regimen with glycated hemoglobin (A1C) ≥ 7%, an estimated glomerular filtration rate (eGFR) ≥ 60 mL/min/1.73m2 , were initiated on CANA as part of their usual treatment approach, and were followed for a period of 12 months. The primary effectiveness objective was the mean change in HbA1c from baseline to 6 and 12 months.

RESULTS

Significant improvement from baseline in mean HbA1c levels were observed at 6 months (-0.90%; 95% CI, -1.02, -0.78) and at 12 months (-1.04%; 95% CI, -1.15, -0.92), regardless of duration of diabetes or background AHA treatment regimen. Similarly, significant decreases in systolic blood pressure (-4.65 mm Hg); body weight (-3.24 kg), waist circumference (-2.91 cm) and body mass index (-1.15 kg/m2 ) were observed at 12 months. Additionally, 40.5% of patients achieved the double endpoint (≥0.5% HbA1c reduction and ≥ 3% weight loss), while 24.3% of patients achieved the triple composite endpoint (≥0.5% HbA1c reduction, ≥3% weight loss and ≥ 4 mm Hg systolic blood pressure reduction). No unexpected adverse events were reported.

CONCLUSION

CANA provided sustained clinically meaningful improvements in cardiometabolic parameters in this study in a real-world setting, confirming findings from randomized controlled trials.

Illness Perceptions, HbA1c, And Adherence In Type 2 Diabetes In Saudi Arabia

PURPOSE

Little is known about predictors of adherence to diabetes medication in Saudi Arabia. This study aimed to investigate whether illness perceptions, beliefs about medicine, and God locus of health control beliefs were associated with adherence to medication and glycaemic control (HbA1c) in Saudi patients with type 2 diabetes (T2D).

PATIENTS AND METHODS

A convenience sample of 115 adults with T2D were recruited from a diabetes outpatient clinic. Validated self-reported measures of adherence to medication, illness perceptions, beliefs about medicine, and God locus of health control were administered. Patients' most recent HbA1c levels were extracted from medical records. Multivariable logistic and linear regressions were used to examine the association between illness perceptions, beliefs about medicine and adherence to medication and HbA1c.

RESULTS

More than two thirds of patients (69%) reported poor adherence to medication. All illness perceptions domains, beliefs about medicine, and God locus of health control beliefs were associated with adherence. Multivariable logistic regression revealed that older age (OR= 3.76, p= 0.023), worse consequences perceptions (OR= 0.21, p= 0.011), worse illness identity (OR= 0.23, p= 0.010), and greater illness coherence (OR= 3.24, p= 0.022) were independent predictors of adherence. Two thirds of patients (67%) had suboptimal HbA1c; and perceptions of a cyclical timeline and lower insulin effectiveness were associated with higher HbA1c. In multiple linear regression, perceptions of a cyclical timeline (β= 0.19, p= 0.040) were an independent significant predictor of HbA1c.

CONCLUSION

In Saudi Arabia, patients' perceptions of T2D, beliefs about medicine, and God locus of control beliefs are associated with adherence. These results inform the development of interventions based on the Common-Sense Model (CSM) to encourage improved adherence and glycaemic control among Saudi patients with T2D. Further research with larger and more diverse samples is warranted to expand the generalizability of these findings.

Low incidence of gastrointestinal adverse events over time with a fixed-ratio combination of insulin glargine and lixisenatide versus lixisenatide alone

This post hoc analysis of gastrointestinal (GI) adverse events (AEs) from the phase 3 LixiLan-L (NCT02058160) and LixiLan-O (NCT02058147) trials aimed to determine the frequency and timing of nausea, vomiting, and diarrhoea for iGlarLixi, a titratable, fixed-ratio combination of insulin glargine 100 units/mL (iGlar) and lixisenatide, versus iGlar alone or iGlar and lixisenatide alone, in patients with type 2 diabetes uncontrolled with oral antidiabetes drugs (OADs) or basal insulin ± OADs. In iGlarLixi-treated patients, the rate of GI AEs during the initial weeks of treatment was lower versus patients treated with lixisenatide alone (9.6% and 11.7% of iGlarLixi-treated patients in LixiLan-L and LixiLan-O, respectively, vs. 27.5% of lixisenatide-treated patients in LixiLan-O). Beyond day 60, these rates were generally low and similar to those of lixisenatide. These lower rates are likely due to the gradual titration of lixisenatide in iGlarLixi. Median durations of intermittent GI AEs in the iGlarLixi arms were 6.0, 2.0 and 2.5 days (LixiLan-L), and 5.0, 1.0 and 3.5 days (LixiLan-O), respectively. iGlarLixi-associated GI AEs were transient, mostly mild or moderate in severity, and occurred mainly during initial titration.

A Systematic Review of Insulin Adherence Measures in Patients with Diabetes

BACKGROUND

Diabetes care is associated with a considerable burden to the health care system in the United States, and measuring the quality of health care is an important development goal of the Department of Health and Human Services and the Centers for Medicare & Medicaid Services. Diabetes is a priority disease within the National Quality Strategy and should therefore remain a focus in the measurement of health care quality. Despite the importance of measuring quality in diabetes care management, no quality measure is currently associated with adherence to insulin treatment, and measuring adherence to insulin is known to be complicated.

OBJECTIVES

To (a) identify methods to measure insulin adherence in patients with diabetes and (b) evaluate whether identified methods could be considered for testing as a quality measure.

METHODS

Systematic searches were conducted in the online electronic databases Embase, MEDLINE, and the Cochrane Library, supplemented with additional manual searches to identify publications on insulin adherence from the year 2000 onward. Identified citations were screened for relevance against predefined eligibility criteria, and methods to measure adherence to insulin were extracted from relevant studies into data extraction tables. Methods were critiqued on the feasibility for consideration as a quality measure.

RESULTS

Seventy-eight publications met the inclusion criteria and were reviewed. Included studies reported various indirect methods to measure adherence to insulin, using prescription claims or self-report questionnaires. Commonly reported methods included the (adjusted) medication possession ratio, proportion of days covered, persistence, daily average consumption, and the Morisky Medication Adherence Scale. All types of identified methods were associated with measuring challenges varying from accuracy of estimated adherence, complexity of data collection, absence of validated threshold for good adherence, and reliability of adherence outcomes.

CONCLUSIONS

Without additional research, none of the identified methods are appropriate for use as a quality measure for insulin adherence. We suggest patient involvement in future research and additional quality measure development.

DISCLOSURES

Novo Nordisk paid DRG Abacus to complete the systematic review and manuscript and was involved in the study design, interpretation of data, and decision to publish the findings of the systematic review. Kroes and Webb report personal fees from Novo Nordisk during the conduct of the study and personal fees from DRG Abacus, outside of the submitted work. Webb is employed by DRG Abacus, and Kroes was employed by DRG Abacus at the time of this study. Wisniewski is an employee of Novo Nordisk, which funded the systematic review reported in this article, and also owns stocks in Novo Nordisk. Stolpe has nothing to disclose. Study concept and design were contributed by Kroes, Webb, and Wisniewski, with assistance from Stolpe. Webb took the lead in data collection, along with Kroes, and data interpretation was performed by all the authors. The manuscript was written by Kroes, Webb, and Wisniewski, with assistance from Stolpe, and revised by Kroes, Stolpe, Wisniewski, and Webb.

Association Between Weight Change, Clinical Outcomes, and Health Care Costs in Patients with Type 2 Diabetes

BACKGROUND

Previous research suggests that weight loss is associated with decreases in health care costs among individuals with type 2 diabetes mellitus (T2DM) and that weight change can affect clinical measures, including hemoglobin A1c (A1c), low-density lipoprotein cholesterol (LDLC), and blood pressure. Previous research has also demonstrated more pronounced impact of weight change among patients with T2DM who are obese and have no evidence of cardiovascular disease (CVD).

OBJECTIVES

To (a) examine the association between weight change and all-cause and diabetes-related health care costs among patients with T2DM; (b) examine the association between weight change and select clinical measures among patients with T2DM; and (c) analyze a subgroup of obese patients with no previous CVD.

METHODS

This retrospective, observational cohort study used U.S. insurance claims linked to laboratory and electronic medical records. This study included patients with T2DM aged 18 years or older who added or switched to a nonmetformin antidiabetes medication after metformin monotherapy between January 1, 2007, and June 30, 2012 (date of add/switch was the index date). The primary predictor was percentage weight change (PWC) between a weight measurement at index and a follow-up measurement 6 months later; PWC ranged from negative (weight loss) to positive (weight gain). Outcomes, measured in the 12-month period beginning at the time of follow-up weight measurement, included all-cause and diabetes-related health care costs and achievement of thresholds for A1c, blood pressure, and LDL-C. Multivariable models quantified the association between PWC (linear effect) and study outcomes.

RESULTS

A total of 1,520 patients (mean age 55 years; 47% female) were included, with 780 patients (mean age 53 years; 51% female) in the subgroup sample. Mean (SD) index weight and PWC were 224.6 (52.8) lbs and +0.2% (4.7%) in the primary analysis, and 241.3 (47.3) lbs and -0.2% (4.6%) in the subgroup sample. In adjusted analyses, decreasing PWC was associated with decreasing diabetes-specific pharmacy costs (P < 0.001) in the primary analysis sample and with decreasing all-cause pharmacy costs (P = 0.018), diabetes-specific total costs (P = 0.039), diabetes-specific medical costs (P = 0.002), and diabetes-specific pharmacy costs (P < 0.001) in the subgroup sample. PWC was not associated with all-cause total health care costs or all-cause medical costs in either sample. In adjusted analyses, decreasing PWC was also associated with increasing odds of attaining the A1c goals of < 6.5% (P < 0.001) and < 7.0% (P < 0.001) in the primary analysis sample and increasing odds of attaining the A1c goals of < 6.5% (P < 0.001), < 7.0% (P < 0.001), and < 8.0% (P = 0.010) in the subgroup sample. PWC was not associated with any of the other clinical measures in either of the study samples.

CONCLUSIONS

This real-world study suggests that among patients with T2DM, weight loss over a short-term (6-month) period is associated with positive impact on attainment of A1c goals and decreased diabetes-specific pharmacy costs over the subsequent 12 months. In the subset of patients who were obese and had no previus CVD, weight loss over the 6-month period was also associated with decreased all-cause pharmacy costs, diabetes-specific medical costs, and diabetes-specific total health care costs. Future research is warranted to examine whether these associations change over longer-term periods of follow-up.

DISCLOSURES

This study was sponsored by AstraZeneca and Bristol-Myers Squibb. Truven Health Analytics received funding from Bristol-Myers Squibb and AstraZeneca to conduct this study. Mukherjee is an employee of Bristol-Myers Squibb. Bell and Sternhufvud are employees of AstraZeneca. Johnston, Stott-Miller, and McMorrow are employees of Truven Health Analytics. Nancy Smith is a consultant to Bristol-Myers Squibb and is employed by GreenKey Resources. Study concept was created by Mukherjee, Sternhufvud, Bell, and Johnston. Stott-Miller and McMorrow took the lead in data collection, along with Johnston, with data interpretation performed by Mukherjee, Sternhufvud, Smith, Stott-Miller, and Johnston. The manuscript was written by Mukherjee, Johnston, and Stott-Miller, along with Sternhufvud and Smith, and revised by Mukherjee, Smith, and Johnston, along with Sternhufvud and Stott-Miller.

Poor medication adherence in type 2 diabetes: recognizing the scope of the problem and its key contributors

At least 45% of patients with type 2 diabetes (T2D) fail to achieve adequate glycemic control (HbA1c <7%). One of the major contributing factors is poor medication adherence. Poor medication adherence in T2D is well documented to be very common and is associated with inadequate glycemic control; increased morbidity and mortality; and increased costs of outpatient care, emergency room visits, hospitalization, and managing complications of diabetes. Poor medication adherence is linked to key nonpatient factors (eg, lack of integrated care in many health care systems and clinical inertia among health care professionals), patient demographic factors (eg, young age, low education level, and low income level), critical patient beliefs about their medications (eg, perceived treatment inefficacy), and perceived patient burden regarding obtaining and taking their medications (eg, treatment complexity, out-of-pocket costs, and hypoglycemia). Specific barriers to medication adherence in T2D, especially those that are potentially modifiable, need to be more clearly identified; strategies that target poor adherence should focus on reducing medication burden and addressing negative medication beliefs of patients. Solutions to these problems would require behavioral innovations as well as new methods and modes of drug delivery.

Extent and reasons for nonadherence to antihypertensive, cholesterol, and diabetes medications: the association with depressive symptom burden in a sample of American veterans

OBJECTIVE

Persons with depressive symptoms generally have higher rates of medication nonadherence than persons without depressive symptoms. However, little is known about whether this association differs by comorbid medical condition or whether reasons for nonadherence differ by depressive symptoms or comorbid medical condition.

METHODS

Self-reported extent of nonadherence, reasons for nonadherence, and depressive symptoms among 1,026 veterans prescribed medications for hypertension, dyslipidemia, and/or type 2 diabetes were assessed.

RESULTS

In multivariable logistic regression adjusted for clinical and demographic factors, the odds of nonadherence were higher among participants with high depressive symptom burden for dyslipidemia (n=848; odds ratio [OR]: 1.42, P=0.03) but not hypertension (n=916; OR: 1.24, P=0.15), or type 2 diabetes (n=447; OR: 1.15, P=0.51). Among participants reporting nonadherence to antihypertensive and antilipemic medications, those with greater depressive symptom burden had greater odds of endorsing medication nonadherence reasons related to negative expectations and excessive economic burden. Neither extent of nonadherence nor reasons for nonadherence differed by depressive symptom burden among patients with diabetes.

CONCLUSION

These findings suggest that clinicians may consider tailoring interventions to improve adherence to antihypertensive and antilipemic medications to specific medication concerns of participants with depressive symptoms.