Statins may increase diabetes, but benefit still outweighs risk.

Data have been accumulating on the risk of developing type 2 diabetes in patients receiving statins and on the potential adverse effects of these drugs on glycemic control in patients who already have type 2 diabetes. This article reviews data linking statin use and new-onset diabetes mellitus, the effects of statins on glycemic control in type 2 diabetes, the benefit-risk considerations of statin use and type 2 diabetes, and how these factors affect patient management.

Ultra Rapid-Acting Inhaled Insulin Improves Glucose Control in Patients With Type 2 Diabetes Mellitus.

OBJECTIVE: To determine whether the use of an inhaled insulin would improve HbA1c. METHODS: This study was performed in 20 type 2 diabetes mellitus (T2DM) participants with HbA1c values ≥7.5 (58) to ≤11.5% (102 mmol/mol) on a variety of glucose-lowering regimens. Prandial Technosphere insulin (TI) was rapidly titrated based on a treatment algorithm using postprandial blood glucose to calculate premeal doses. A 2-week baseline period was followed by 12 weeks of active treatment with TI. The primary outcome was change in HbA1c. Secondary outcomes included glucose time in range (time in range: 70-180 mg/dL) obtained by a blinded continuous glucose monitoring during the baseline period and at the end of 12 weeks. Goals were to assess how to rapidly and safely initiate TI intensification, determine dosing requirements, and establish an effective dose range in uncontrolled T2DM. RESULTS: Mean HbA1c decreased by -1.6% (-17 mmol/mol) from 9.0% (75 mmol/mol) at baseline to 7.4% (57 mmol/mol) at 12 weeks (P < .0001). Mean time in range increased from 42.2% to 65.7% (P < .0002). Mean prandial doses of TI were 18 or 19 units for all meals. Time below range was 1.1% baseline and 2.6% post treatment (P = .01). CONCLUSION: Treatment with inhaled TI dosed using a simple algorithm improved glycemic control measured by both HbA1c and time in range, with low rates of hypoglycemia. These data add significantly to understanding TI in the management of T2DM patients for whom prandial insulin is a consideration.

RESULTS OF A 24-WEEK TRIAL OF TECHNOSPHERE INSULIN VERSUS INSULIN ASPART IN TYPE 2 DIABETES.

OBJECTIVE: To compare glycemic efficacy of Technosphere insulin (TI) versus that of insulin aspart (IA), each added to basal insulin, in type 2 diabetes. METHODS: This randomized, 24-week trial included subjects aged from 18 to 80 years who were treated with subcutaneous insulin for 3 months and had glycated hemoglobin (HbA1C) levels of 7.0% to 11.5%. After receiving stabilized insulin glargine doses during a 4-week lead in, the subjects were randomized to TI or IA. The primary end point was an HbA1C change from baseline, with the differences analyzed by equivalence analyses. RESULTS: In the overall cohort (N = 309; males, 23.3%), mean (SD) age was 58.5 (8.4) years, body mass index was 30.8 (4.7) kg/m2, weight was 82.2 (13.6) kg, and duration of diabetes was 12.2 (7.1) years. An intention-to-treat cohort had 150 subjects randomized to TI (mean [SD] HbA1C: 8.9% [1.1%]) and 154 randomized to IA (mean [SD] HbA1C: 9.0% [1.3%]). At 24 weeks, mean (SD) HbA1C value declined to 7.9% (1.3%) and 7.7% (1.1%) in the TI and IA cohorts, respectively. A treatment difference of 0.26% was not statistically significant, but the predefined equivalency margin was not met. Subjects receiving TI lost 0.78 kg compared to baseline; subjects receiving IA gained 0.23 kg (P =.0007). The incidence of mild/moderate hypoglycemia was lower for the TI cohort, though not statistically significant. CONCLUSION: Both TI and IA resulted in significant and clinically meaningful HbA1C reductions. TI also resulted in significant and clinically meaningful weight reductions. These data support the use of inhaled insulin as a treatment option for individuals with type 2 diabetes.

Understanding inhaled Technosphere Insulin: Results of an early randomized trial in type 1 diabetes mellitus.

BACKGROUND: Technosphere Insulin (TI) is an inhaled insulin. Studies comparing TI with short-acting insulin analogues provide important insights on efficacy, dosing, and time course of action. METHODS: Planned enrollment of 230 subjects was limited to 138 due to premature study discontinuation. The primary efficacy endpoint was a noninferiority of glycosylated hemoglobin (HbA1c) of 0.4% for TI compared with insulin lispro (LIS) in a 16-week phase 3 randomized clinical trial in type 1 diabetes mellitus. RESULTS: HbA1c values were similar in the TI and LIS groups at the beginning of the trial (7.8% and 7.6%, respectively) and at trial endpoint (7.7% and 7.6%, respectively). Least squares mean changes from baseline were similar between study groups. Glucose values after a standard meal were significantly lower with TI in the first 90 minutes post meal compared with LIS. Mild or moderate hypoglycemia event rates were also significantly lower with TI compared with LIS (5.97 vs 8.01, respectively; P = .0269). Cough was the most commonly reported adverse event with TI. Pulmonary function as measured by forced expiratory volume in 1 second was not different between groups at baseline, 16 weeks, or 4 weeks off study drug. CONCLUSIONS: HbA1c was unchanged and overall glucose control was comparable between groups. Treatment with TI resulted in improved post-meal glucose and a lower risk of hypoglycemia compared with LIS.

Hypoglycemia in Older Patients.

Hypoglycemia is a serious problem in older patients with diabetes mellitus. This chapter discusses risk factors associated with hypoglycemia and approaches to mitigation of the risk for hypoglycemia. Specific considerations include selection of glucose lowering agents, comorbid conditions and the implications of declining cognitive dysfunction.

Real-World Glycemic Lowering Effectiveness of Linagliptin Among Adults with Type 2 Diabetes by Age, Renal Function, and Race.

INTRODUCTION: To assess real-world effectiveness of linagliptin in persons with type 2 diabetes mellitus (T2DM) across a range of ages and renal function. Effectiveness was assessed in different races, with a focus on African Americans (AA). METHODS: This was a non-interventional retrospective cohort study using data in the Optum clinical database from adults with T2DM initiating linagliptin. Date of the first linagliptin prescription was the index date. Outcomes included change in glycated hemoglobin (HbA1c) and the percentage of persons achieving an HbA1c < 7% (53 mmol/mol) during the 60-180 days following linagliptin initiation. Analyses of age by renal function were conducted. Multivariate regression analysis was performed to assess change in HbA1c, controlling for an a priori list of covariates. RESULTS: Overall, 11,001 persons were included. Mean pre-index HbA1c value was 8.2% (66 mmol/mol), with higher levels in younger versus older persons and AAs versus other race groups. Persons initiating linagliptin had an average HbA1c reduction of 0.51% (5.6 mmol/mol). Without adjusting for age, renal function, race, and pre-index HbA1c, greater reductions in HbA1c were observed in younger versus older persons, persons with higher versus lower estimated glomerular filtration rate (eGFR), and AAs versus white or Asians. After multivariate analysis, variables significantly associated with a greater HbA1c reduction included higher pre-index HbA1c and older age. CONCLUSIONS: These results support the HbA1c-lowering effectiveness of linagliptin across age, race, and renal function categories among a large real-world population of adults with T2DM.

Type of diabetes mellitus: Does it matter to the clinician?

The classification of diabetes mellitus in 2020 still starts with 2 major types, ie, type 1 and type 2, but each of these now includes a few uncommon variants. Understanding the many faces of the diabetes syndrome can make a difference in how clinicians select glucose-lowering therapy.

Factors associated with stroke, myocardial infarction, ischemic heart disease, unstable angina, or mortality in patients from real world clinical practice with newly-diagnosed type 2 diabetes and early glycemic control.

OBJECTIVES: The objective of this study was to identify factors associated with stroke, myocardial infarction (MI), all-cause mortality, or a diagnosis of ischemic heart disease (IHD) or unstable angina (UA), among patients newly-diagnosed with type 2 diabetes (T2DM) with no recent history of cardiovascular (CV) events who rapidly achieve and maintain HbA1c ≤8.0%. METHODS: Data were obtained from the Clinical Practice Research Datalink (CPRD) from January 1990 to December 2012. A nested case-control design was used with Cox proportional hazards analysis. Cases were identified by the first occurrence of stroke, MI, IHD, UA, or death within 5 years after HbA1c ≤ 8.0% was first reached (index date) following T2DM diagnosis. Controls were selected using a risk-set sampling approach and were matched 4:1 to cases using index date, exposure time, age, gender, and HbA1c at index date. RESULTS: A total of 11,426 T2DM patients met the inclusion criteria for cases. Of these, 5,261 experienced a CV event. Stroke was the most frequent CV event (40%), followed by IHD (29%), MI (22%), and UA (9%). Mean HbA1c ≥7.0% over the length of exposure (vs 6.5 to <7.0%) was associated with an increased risk of stroke, MI, and IHD. The use of anti-platelet medications at baseline was also associated with increased risk of stroke (HR = 1.82 [CI = 1.60-2.06]), MI (HR = 1.67 [CI = 1.38-2.03]), and IHD (HR = 1.85 [CI = 1.57-2.17]). Mean HbA1c < 6.0% was associated with increased risk of stroke (HR = 1.29 [CI = 1.02-1.63]) and IHD (HR = 1.65 [CI = 1.25-2.19]). Use of nitrate medications at baseline was associated with increased risk of MI (HR = 2.83 [CI = 2.24-3.57]), IHD (HR = 4.32 [CI = 3.57-5.22]), and UA (HR = 10.38 [CI = 7.67-14.03]). CONCLUSIONS: Early and sustained HbA1c control between 6.5 and <7.0% appears to be an important modifiable factor that helps reduce CV risk in patients with newly-diagnosed T2DM in real-world clinical practice.

Cytokeratin-18 and enhanced liver fibrosis scores in type 1 and type 2 diabetes and effects of two different insulins.

Data on cytokeratin-18 (K-18) and enhanced liver fibrosis (ELF) score in insulin-treated diabetes patients with non-alcoholic fatty liver disease (NAFLD) are limited. This study analyzed phase III data comparing basal insulin peglispro (BIL) and insulin glargine in type 1 (T1D), and type 2 diabetes (T2D) (insulin-naïve and insulin-treated). Alanine aminotransferase (ALT), K-18, ELF scores and liver fat content (LFC), measured by MRI, were obtained longitudinally. Baseline K-18 (U/L) was higher in T2D (range: 207‒247) than T1D (range: 148‒183), correlated with ALT in all populations (r (range) 0.264‒0.637, p<0.05), but with LFC only in T2D (r (range) 0.474‒0.586, p<0.05). K-18 increased significantly from baseline in BIL-treated, but not glargine-treated patients. Change from baseline (CFB) K-18 was significantly correlated with CFB in ALT in BIL-treated T2D populations. Baseline ELF scores were higher in T2D (range: 9.12‒9.20) than T1D (range: 8.24‒8.36), correlated with ALT in T1D only (0.209, p<0.05), and not correlated with LFC in any population. ELF scores increased significantly from baseline in BIL-treated but not glargine-treated patients. There were no correlations between CFB in LFC and ELF score at week 52 in any treatment group/population. In all BIL-treated populations, CFB in ALT and CFB in ELF score at week 52 were positively correlated. These data characterize associations of K-18 and ELF score with ALT and LFC in insulin-treated patients with T1D and T2D. Hepatopreferential insulins may be associated with increased K-18 and ELF scores but mechanisms and clinical significance are unknown. ClinicalTrials.gov identifiers are NCT01481779, NCT01435616, NCT01454284 and NCT01582451.

Clinical course of nonalcoholic fatty liver disease: an assessment of severity, progression, and outcomes.

PURPOSE: To identify the characteristics and initial disease severity of patients with nonalcoholic fatty liver disease (NAFLD) and assess incidence and risk factors for disease progression in a retrospective study. METHODS: Patients ≥18 years of age without alcoholism or other liver diseases (eg, hepatitis B/C) were selected from Geisinger Health System electronic medical record data from 2004 to 2015. Initial disease stage was stratified into uncomplicated NAFLD, advanced fibrosis, cirrhosis, hepatocellular carcinoma (HCC), and liver transplant using clinical biomarkers, diagnosis, and procedure codes. Disease progression was defined as stage progression or death and analyzed via Kaplan-Meier plots and multistate models. RESULTS: In the NAFLD cohort (N=18,754), 61.5% were women, 39.0% had type 2 diabetes mellitus (T2DM), and the mean body mass index was 38.2±10.2 kg/m2. At index, 69.9% had uncomplicated NAFLD, 11.7% had advanced fibrosis, and 17.8% had cirrhosis. Of 18,718 patients assessed for progression, 17.3% progressed (11.0% had stage progression, 6.3% died without evidence of stage progression) during follow-up (median=842 days). Among subgroups, 12.3% of those without diabetes mellitus progressed vs 24.7% of those with T2DM. One-year mortality increased from 0.5% in uncomplicated NAFLD to 22.7% in HCC. After liver transplant, mortality decreased to 5.6% per year. CONCLUSIONS: In 2.3 years of follow-up, approximately 17% of patients progressed or died without evidence of stage progression. T2DM was associated with approximately twice the risk of disease progression, and mortality risk increased with disease stage. Early diagnosis and monitoring of disease progression, especially in patients with T2DM, is warranted.

Effects of hepato-preferential basal insulin peglispro on nuclear magnetic resonance biomarkers lipoprotein insulin resistance index and GlycA in patients with diabetes.

AIM: To characterize the effects of hepato-preferential basal insulin peglispro (BIL) and insulin glargine on insulin resistance (lipoprotein insulin resistance index [LP-IR]) and inflammation (GlycA), and to explore the biological implications. METHODS: This substudy included 847 patients with Type 1 diabetes (T1D) or Type 2 diabetes (T2D) in four cohorts of the BIL development program. LP-IR and GlycA were measured before and after insulin treatment. Correlations between LP-IR, GlycA, clinical parameters and liver biomarkers were assessed. RESULTS: LP-IR and GlycA were higher in T2D than T1D. LP-IR increased in patients switched from basal insulins to BIL but not in insulin-naive patients. GlycA decreased in T2D patients treated with BIL and T1D patients treated with glargine. CONCLUSION: These exploratory analyses help to characterize differences in biological effects between BIL and glargine treatment.

Risk Factors for Nocturnal Hypoglycemia in Insulin-treated Patients With Type 2 Diabetes: A Secondary Analysis of Observational Data Derived From an Integrated Clinical Trial Database.

PURPOSE: A trade-off exists in most diabetes therapies between the benefits of good glycemic control and the morbidity of hypoglycemia. Balancing these factors to achieve desired outcomes is a key consideration for personalized diabetes therapy. Hypoglycemia at night (nocturnal hypoglycemia [NH]) is a common but often under-reported problem in insulin-treated patients with type 2 diabetes. To better understand the risk for NH, we pooled data from multiple clinical trials of insulin treatment and specifically examined NH risk factors in relation to glycemic goals. METHODS: Of 53 randomized trials involving insulin treatment, 18 trials that collected NH data were included. Risk factors associated with NH were identified by using gradient-boosting methods. A proportional hazards model was used to quantify the hazard ratio (HR) for risk factors. By modeling with individual patient data, a patient-level NH risk score distribution was created. Finally, results of the model were used to quantify an adjustment to the glycemic goal that would fully offset each risk factor, all other factors being equal. FINDINGS: Data pooling resulted in the inclusion of 7341 patients with type 2 diabetes from 18 randomized clinical trials. In the mean 6-month treatment period, 43% of patients experienced at least 1 episode of NH (mean [SD], 1.1 [1.5] events/month). Reduction of glycosylated hemoglobin (HbA1c) levels during the trial was a risk factor for NH (HR, 1.40 [95% CI, 1.38-1.43] per -1% of HbA1c). Higher baseline HbA1c level was a protective factor against NH (HR, 0.76 [95% CI, 0.74-0.77] per +1% of HbA1c); and the adjustment to HbA1c goal required to offset 1% higher baseline HbA1c was -0.825%. Patient characteristics for risk of NH included older age (HR, 1.02 [95% CI, 1.01-1.02]) per 1-year increase), female sex (HR, 1.18 [95% CI, 1.15-1.22]), black or African-American race (HR, 1.41 [95% CI, 1.33-1.50] vs white race), longer diabetes duration (HR, 1.02 [95% CI, 1.01-1.02] per 1-year increase), diabetic nephropathy (HR, 1.40 [95% CI, 1.27-1.54]), and concomitant sulfonylurea use (HR, 1.10 [95% CI, 1.05-1.15]). Asian race was associated with a lower risk of NH (HR, 0.50 [95% CI, 0.48-0.53] vs white race); this finding could be offset with a 2.03% adjustment to the HbA1c goal. IMPLICATIONS: Data on NH are scarce. By pooling multiple clinical trials, this study was able to evaluate patient-level data. A quantitative understanding of the trade-off between individual risk factors for NH and glycemic reduction may help clinicians to personalize patients' glycemic goals, while effectively managing NH risk. Limitations of the study include that patients were selected through inclusion/exclusion criteria and that patient compliance may be better in a trial setting. Validating the findings in the real world will be helpful.

The effects of basal insulin peglispro vs. insulin glargine on lipoprotein particles by NMR and liver fat content by MRI in patients with diabetes.

BACKGROUND: In Phase 2/3 studies of basal insulin peglispro (BIL) compared to insulin glargine, patients with type 1 or type 2 diabetes previously treated with insulin and randomized to BIL had an increase in serum triglycerides (TGs). To further understand lipoprotein changes, a lipid substudy which included liver fat content was designed to assess relationships among the measured variables for each diabetes cohort and compare the hepato-preferential insulin BIL to glargine. METHODS: In three cohorts of patients with diabetes (type 1, type 2 insulin naïve, and type 2 previously on insulin; n = 652), liver fat content (LFC) was determined by magnetic resonance imaging (MRI) and blood lipids were analyzed by nuclear magnetic resonance (NMR) spectroscopy at baseline, 26 and 52 weeks of treatment. Apolipoproteins, adiponectin, and other lipid parameters were also measured. Descriptive statistics were done, as well as correlation analyses to look for relationships among LFC and lipoproteins or other lipid measures. RESULTS: In patients with type 1 diabetes treated with BIL, but not glargine, small LDL and medium and large VLDL subclass concentrations increased from baseline. In patients with type 2 diabetes previously on insulin and treated with BIL, large VLDL concentration increased from baseline. In insulin naïve patients with type 2 diabetes treated with BIL, there were very few changes, while in those treated with glargine, small LDL and large VLDL decreased from baseline. Baseline LFC correlated significantly in one or more cohorts with baseline large VLDL, small LDL, VLDL size, and Apo C3. Changes in LFC by treatment showed generally weak correlations with lipoprotein changes, except for positive correlations with large VLDL and VLDL size. Adiponectin was higher in patients with type 1 diabetes compared to patients with type 2 diabetes, but decreased with treatment with both BIL and glargine. CONCLUSIONS: The lipoprotein changes were in line with the observed changes in serum TGs; i.e., the cohorts experiencing increased TGs and LFC with BIL treatment had decreased LDL size and increased VLDL size. These data and analyses add to the currently available information on the metabolic effects of insulins in a very carefully characterized cohort of patients with diabetes. Clinicaltrials.gov registration numbers and dates NCT01481779 (2011), NCT01435616 (2011), NCT01454284 (2011), NCT01582451 (2012).

Non-alcoholic fatty liver disease (NAFLD) prevalence and its metabolic associations in patients with type 1 diabetes and type 2 diabetes.

We investigated non-alcoholic fatty liver disease (NAFLD) prevalence and its metabolic associations in patients with type 1 diabetes (T1D), and in insulin-naïve and insulin-treated patients with type 2 diabetes (T2D). Baseline data from patients who had liver fat content (LFC) evaluated by magnetic resonance imaging in four phase 3 studies of basal insulin peglispro (BIL) were analysed. Associations of NAFLD with clinical characteristics, glycaemic control and diabetes therapy were evaluated. The prevalence of NAFLD (defined as LFC ≥ 6%) was low in T1D (8.8%) but high in T2D, with greater prevalence in insulin-naïve (75.6%) vs insulin-treated (61.7%) T2D patients. LFC (mean ± SD) was higher in T2D patients (insulin-naïve, 13.0% ± 8.4%; insulin-treated, 10.2% ± 7.8%) than in T1D patients (3.2% ± 3.2%). In T2D, NAFLD was associated with several markers of insulin resistance. In all three populations, there was an absence of association of HbA1c with LFC, but insulin doses were higher in patients with NAFLD.

Lipid changes during basal insulin peglispro, insulin glargine, or NPH treatment in six IMAGINE trials.

Basal insulin peglispro (BIL) is a novel basal insulin with hepato-preferential action resulting from reduced peripheral effects. This report provides an integrated summary of lipid changes at 26 weeks with BIL and comparator insulins (glargine, NPH) from phase III studies in type 1 diabetes (T1D), insulin-naïve patients with type 2 diabetes (T2D), patients with T2D on basal insulin only and patients with T2D on basal-bolus therapy. BIL treatment had little effect on HDL cholesterol and LDL cholesterol in all patients. The effect of both BIL and glargine treatment on triglycerides (TG) depended on whether patients had been previously treated with insulin. When BIL replaced conventional insulin glargine or NPH treatments, increases in TG levels were observed. When BIL or comparator insulins were given for 26 weeks to insulin-naïve patients with T2D, TG levels were unchanged from baseline with BIL but decreased with either glargine or NPH. The decreased peripheral action of BIL may reduce suppression of lipolysis in peripheral adipose tissue resulting in increased free fatty acid delivery to the liver and, hence, increased hepatic TG synthesis and secretion.

Perspectives on Some Controversies in Cardiovascular Disease Risk Assessment in the Pharmaceutical Development of Glucose-Lowering Medications.

The U.S. Food and Drug Administration (FDA) issued guidance on requirements to assess cardiovascular disease (CVD) risk with drugs being developed for approval for clinical use. The guidance was triggered by a meta-analysis published by Nissen and Wolski that suggested an increased risk for myocardial infarction with the use of rosiglitazone. This article discusses controversies around CVD trials in diabetes beginning with the University Group Diabetes Program. This is followed by a brief description of the FDA guidance for evaluating CVD risk with glucose-lowering medications. Limitations of meta-analyses of data from phase 2 and 3 (phase 2/3) trials to inform CVD risk are highlighted. These include the differences between patient characteristics in phase 2/3 trials and those in cardiovascular outcome trials (CVOTs) and the relatively short exposure time in phase 2/3 trials. The differences may partly explain the observed disparity between phase 2/3 meta-analyses and the results of completed CVOTs. Approaches to understanding CVD risk with a new medication should get to the answer about risk as efficiently as possible to minimize any potential harm to patients. In that context, we discuss options for clinical trial design and an alternative approach for statistical analyses.

Major adverse cardiovascular events with basal insulin peglispro versus comparator insulins in patients with type 1 or type 2 diabetes: a meta-analysis.

BACKGROUND: To identify possible differences in cardiovascular (CV) risk among different insulin therapies, we performed pre-specified meta-analyses across the clinical program for basal insulin peglispro (BIL), in patients randomized to treatment with BIL or comparator insulin [glargine (IG) or NPH]. METHODS: One phase 2 (12-week) and 6 phase 3 (26 to 78-week) randomized studies of BIL compared to IG or NPH, in patients with type 1 or type 2 diabetes, were included. The participants were diverse with respect to demographics, baseline glycemic control, and concomitant disease or medications, but treatment groups were comparable in each study. For any potential CV or neurovascular event, relevant medical information was provided to a blinded external clinical events committee (C5Research, Cleveland Clinic, Cleveland, OH, USA) for adjudication. Cox regression analysis was used to compare treatment groups. The primary endpoint was a composite of adjudicated MACE+ [CV death, myocardial infarction (MI), stroke, or hospitalization for unstable angina]. RESULTS: The pooled population included 5862 patients in the safety evaluation, with randomization to BIL:IG:NPH of 3578:2072:212. Mean age was 54.1 years, 27 % had type 1 diabetes, 56 % were male, and 88 % were white. Baseline demographic and clinical characteristics, including use of statins or other lipid-lowering drugs, were comparable between BIL and comparators. A total of 83 patients experienced at least 1 MACE+ and 70 patients experienced at least 1 MACE (CV death, MI, or stroke). Overall, there were no treatment-associated differences in time to MACE+ [hazard ratio (HR) for BIL versus comparator insulin (95 % CI): 0.82 (0.53-1.27)] or MACE [0.83 (0.51-1.33)]. In 4297 patients with type 2 diabetes, there were 71 MACE+ events [HR: 1.02 (95 % CI: 0.63-1.65), p = 0.94]. In 1565 patients with type 1 diabetes, there were only 12 MACE+ [0.24 (0.07-0.85), p = 0.027]. There were no differences in all-cause death between BIL and comparators. Sub-group analyses did not identify any sub-population with increased risk with BIL versus comparator insulins. CONCLUSIONS: Treatment with BIL versus comparator insulin in patients with type 1 diabetes or type 2 diabetes was not associated with increased risk for major CV events in the studies analyzed.

Glucagon-like peptide 1 receptor agonist or bolus insulin with optimized basal insulin in type 2 diabetes.

OBJECTIVE: Mealtime insulin is commonly added to manage hyperglycemia in type 2 diabetes when basal insulin is insufficient. However, this complex regimen is associated with weight gain and hypoglycemia. This study compared the efficacy and safety of exenatide twice daily or mealtime insulin lispro in patients inadequately controlled by insulin glargine and metformin despite up-titration. RESEARCH DESIGN AND METHODS: In this 30-week, open-label, multicenter, randomized, noninferiority trial with 12 weeks prior insulin optimization, 627 patients with insufficient postoptimization glycated hemoglobin A1c (HbA1c) were randomized to exenatide (10-20 µg/day) or thrice-daily mealtime lispro titrated to premeal glucose of 5.6-6.0 mmol/L, both added to insulin glargine (mean 61 units/day at randomization) and metformin (mean 2,000 mg/day). RESULTS: Randomization HbA1c and fasting glucose (FG) were 8.3% (67 mmol/mol) and 7.1 mmol/L for exenatide and 8.2% (66 mmol/mol) and 7.1 mmol/L for lispro. At 30 weeks postrandomization, mean HbA1c changes were noninferior for exenatide compared with lispro (-1.13 and -1.10%, respectively); treatment differences were -0.04 (95% CI -0.18, 0.11) in per-protocol (n = 510) and -0.03 (95% CI -0.16, 0.11) in intent-to-treat (n = 627) populations. FG was lower with exenatide than lispro (6.5 vs. 7.2 mmol/L; P = 0.002). Weight decreased with exenatide and increased with lispro (-2.5 vs. +2.1 kg; P < 0.001). More patients reported treatment satisfaction and better quality of life with exenatide than lispro, although a larger proportion of patients with exenatide experienced treatment-emergent adverse events. Exenatide resulted in fewer nonnocturnal hypoglycemic episodes but more gastrointestinal adverse events than lispro. CONCLUSIONS: Adding exenatide to titrated glargine with metformin resulted in similar glycemic control as adding lispro and was well tolerated. These findings support exenatide as a noninsulin addition for patients failing basal insulin.