How do we continue treatment in patients with type 2 diabetes when therapeutic goals are not reached with oral antidiabetes agents and lifestyle? Incretin versus insulin treatment

Diabetes and Cardiovascular Risk in Renal Transplant Patients

End-stage kidney disease (ESKD) is a main public health problem, the prevalence of which is continuously increasing worldwide. Due to adverse effects of renal replacement therapies, kidney transplantation seems to be the optimal form of therapy with significantly improved survival, quality of life and diminished overall costs compared with dialysis. However, post-transplant patients frequently suffer from post-transplant diabetes mellitus (PTDM) which an important risk factor for cardiovascular and cardiovascular-related deaths after transplantation. The management of post-transplant diabetes resembles that of diabetes in the general population as it is based on strict glycemic control as well as screening and treatment of common complications. Lifestyle interventions accompanied by the tailoring of immunosuppressive regimen may be of key importance to mitigate PTDM-associated complications in kidney transplant patients. More transplant-specific approach can include the exchange of tacrolimus with an alternative immunosuppressant (cyclosporine or mammalian target of rapamycin (mTOR) inhibitor), the decrease or cessation of corticosteroid therapy and caution in the prescribing of diuretics since they are independently connected with post-transplant diabetes. Early identification of high-risk patients for cardiovascular diseases enables timely introduction of appropriate therapeutic strategy and results in higher survival rates for patients with a transplanted kidney.

Risk of Thyroid Cancer Associated with Use of Liraglutide and Other Antidiabetic Drugs in a US Commercially Insured Population

BACKGROUND

Quantify association between the glucagon-like peptide-1 receptor agonist liraglutide and risk of thyroid cancer (TC) compared to other antidiabetics.

PATIENTS AND METHODS

Initiators of liraglutide, exenatide, metformin, pioglitazone or groups of dipeptidyl peptidase-4 inhibitors or sulfonylureas were identified in a US health plan (2010-2014) and followed for a median of 17 months. Thyroid cancer cases during follow-up were identified via a validated algorithm. Incidence rates of TC among liraglutide and comparators were assessed using relative risks estimated within propensity score-matched cohorts using intention to treat (ITT) and time on drug analyses. Latency effects and potential surveillance bias were evaluated.

RESULTS

Relative risks from ITT analyses ranged from 1.00 (95% confidence interval (CI) 0.56-1.79) versus metformin to 1.70 (95% CI 1.03-2.81) versus all comparators excluding exenatide. Effect estimates from latency analyses were slightly attenuated. Time on drug analyses suggested no increased risk for either longer duration or higher cumulative dose of liraglutide. Medical record review found 85% were papillary or a follicular variant of papillary or both; 46% were microcarcinomas (≤10 millimeters), which were more prevalent in the liraglutide cohort (67% versus 43% in all comparators).

CONCLUSION

Relative risks were elevated for several comparisons, which should be interpreted cautiously because of potential residual confounding and surveillance bias. Liraglutide cases had smaller thyroid nodules and shorter time-to-diagnosis, suggesting increased surveillance for TC among liraglutide initiators, especially shortly after the drug´s approval. After adjusting the primary analyses (ITT) for latency, no significant elevated risk of TC was observed among liraglutide initiators.

An Effective Model of Diabetes Care and Education: Revising the AADE7 Self-Care Behaviors®

PURPOSE

The AADE7 Self-Care Behaviors^® (AADE7) is a robust framework for self-management of diabetes and other related conditions, such as prediabetes and cardiometabolic diseases. It is the position of the American Association of Diabetes Educators (AADE) that, at the cornerstone of diabetes self-management education and support, the AADE7 is the framework for achieving behavior change that leads to effective self-management through improved behavior and clinical outcome measures. The AADE7 model guides the health care team in effective person-centered collaboration and goal setting to achieve health-related outcomes and improved quality of life. Continued research and evidence are critical to expand this model and broaden its application to other chronic conditions. Given the advances in the science of diabetes management, as well as in diabetes self-management education and support, AADE has evaluated the AADE7 within the framework of these advances, including the digital and dynamic health care landscape.

CONCLUSION

This revised position statement blends the updates in research and AADE's vision and expansion beyond diabetes to refresh the AADE7 framework. This revision reflects the perspectives of all members of the health care team as they problem solve with individuals who are at risk for or who have diabetes and related conditions to achieve healthier outcomes.

Liraglutide use and evaluation of pancreatic outcomes in a US commercially insured population

AIMS

Both acute pancreatitis (AP) and pancreatic cancer (PC) have been areas of focus for studies of incretin drugs. This 5-year prospective cohort study aimed to quantify possible associations between liraglutide and risk of AP and PC as compared to other antidiabetic drugs (ADs).

MATERIALS AND METHODS

Patients initiating liraglutide or other ADs who were enrolled in a US health plan (2010-2014) were included. Comparisons of AP and PC incidence rates were made between matched cohorts of liraglutide initiators and initiators of other ADs. Adjudicated AP cases and algorithm-based PC cases were identified. Propensity score-matched intention-to-treat (ITT) and time-on-drug (TOD) analyses were completed using Poisson regression. A latency analysis was performed for PC.

RESULTS

Median follow-up was 405 days for AP cohorts (9995 liraglutide, 1:1 matched to all comparators) and 503 days for PC cohorts (35 163 liraglutide, 1:1 matched to all comparators). In the primary AP analysis, "current" use of liraglutide was not significantly associated with elevated risk across comparators (all comparators relative risk [RR] = 1.2; 95% confidence interval [CI], 0.6-2.3). ITT results were similar where, in the primary analysis, no RRs were significantly associated with PC (all comparators RR = 0.7; 95% CI, 0.3-1.4); latency and TOD analyses did not alter findings. There was no evidence of a dose-response effect.

CONCLUSIONS

Liraglutide was not associated with an increased risk of AP or PC, although risk estimates were more variable for AP, and numbers of cases for both outcomes were limited because of the rarity of outcomes.

Achievement of Target A1C <7.0% (<53 mmol/mol) by U.S. Type 2 Diabetes Patients Treated With Basal Insulin in Both Randomized Controlled Trials and Clinical Practice

OBJECTIVE

Many patients with type 2 diabetes do not reach glycemic goals despite basal insulin treatment. This study assessed the achievement of a target A1C <7.0% (<53 mmol/mol) after initiation of basal insulin in two settings.

METHODS

This was a retrospective analysis of pooled randomized controlled trial (RCT) data, from 11 24-week studies of patients initiating basal insulin performed between 2000 and 2005 and of outpatient electronic medical record (EMR) data from the General Electric Centricity database for insulin-naive patients initiating basal insulin between 2005 and 2012. Baseline characteristics stratified by target A1C and fasting plasma glucose (FPG) attainment were compared descriptively.

RESULTS

In the RCT dataset, 49.0% of patients failed to achieve the target A1C at 6 months versus 72.4% and 72.9% at 6 and 12 months in the EMR dataset, respectively. Despite this, in the RCT dataset, 79.4% of patients achieved the target A1C and/or an FPG <130 mg/dL. In the EMR dataset, only 47.6% and 47.3% of patients achieved an A1C <7.0% and/or FPG <130 mg/dL at 6 and 12 months, respectively. Overall, patients with an A1C >7.0% had a longer diabetes duration and were more likely to be female, nonwhite, and self-funding or covered by Medicaid. Among patients with an A1C >7.0%, more RCT patients (58.0%) had an FPG <130 mg/dL than EMR patients at 6 months (27.8%) and 12 months (27.7%).

CONCLUSION

Unmet needs remain after basal insulin initiation, particularly in real-world settings, where many patients require further insulin titration. In both populations, patients failing to achieve the target A1C despite attaining an FPG <130 mg/dL require interventions to improve postprandial control.

Second-Generation Insulin Analogues - a Review of Recent Real-World Data and Forthcoming Head-to-Head Comparisons

Insulin analogues play a key role in the effective management of type 2 diabetes. However, there are several behavioural barriers to appropriate early initiation of insulin therapy, despite compelling evidence supporting the benefits of this strategy in those patients for whom oral anti-diabetes agents provide insufficient control. The development of second-generation insulin analogues (insulin glargine 300 U/mL and insulin degludec) has provided physicians with agents that can provide comparable glycaemic control to first-generation insulin, but with a reduced risk of hypoglycaemia and modes of action suited to once-daily regimens. These characteristics may help overcome patient and physician concerns about early insulin use in disease management. To date, there have been no head-to-head comparisons of second-generation insulins: here we consider recent real-world evidence and the forthcoming direct comparison in the BRIGHT randomised controlled study, as presented at the recent 11^th International Conference on Advanced Technologies & Treatments for Diabetes (ATTD) 2018.

Impact of health policy and practice on finding the best fit for patients with type 2 diabetes after metformin failure: Croatian pilot study

AIM

We assessed the impact of clinical practice and health policy on the choice and efficacy of different second-line therapies for the treatment of type 2 diabetes (T2DM) after failure of metformin.

METHODS

This retrospective database analysis included 200 patients with a follow-up period of 6 months. The primary end-point was achievement of HbA1c <7% and fasting (FBG) and postprandial glucose levels (PPG) <7.2mmol/L and <10mmol/L, respectively after three and six months of different add-on treatments. Secondary end-points were weight change during treatment and incidence of hypoglycemia.

RESULTS

All second-line therapeutic options, except human basal insulin (BHI) and thiazolidendions (TZD) significantly increased the proportion of patients reaching target HbA1c after 6 months (p<0.01). Only sulfonylurea (SU) and dipeptidyl peptidase-4 (DPP-4) inhibitors significantly reduced all monitored parameters of glucoregulation without changing body weight and BMI after 3 and 6 months as opposed to insulin agents. However, there were no statistically significant differences between the groups when adjusting for starting HbA1c, FBG and PPG (F=1.16, p=NS), although a statistically significant difference in HbA1c levels (F=3.35, p<0.01) persisted in DPP-4 inhibitor users. The incidence of hypoglycemia was significantly higher in patients treated with NPH insulin and premixed insulin than in patients treated with other agents.

CONCLUSION

A more aggressive approach is needed with early treatment intensification using available agents.

Use of V-Go® Insulin Delivery Device in Patients with Sub-optimally Controlled Diabetes Mellitus: A Retrospective Analysis from a Large Specialized Diabetes System

INTRODUCTION

Tight glycemic control and timely treatment can improve outcomes in patients with diabetes yet many remain sub-optimally controlled. The objective of the current study was to evaluate the effect of switching patients with sub-optimally controlled diabetes to the V-Go® (Valeritas Inc., Bridgewater, NJ, USA) Disposable Insulin Delivery device.

METHODS

A retrospective analysis of electronic medical records was conducted to assess patients with sub-optimal glycemic control defined as a glycated hemoglobin (HbA1c) >7%, switched to V-Go. Blood glucose control defined as change from baseline in HbA1c, prescribed insulin doses, body weight, concomitant anti-hyperglycemic agents, and reported hypoglycemia were collected prior to switching to V-Go and during V-Go use.

RESULTS

Two-hundred and four patients were evaluated during the study period. Overall, there was a significant decrease in HbA1c after switching to V-Go at the 14- and 27-week follow-up visits. The least-squares mean (LSM) change in HbA1c (95% confidence interval) from baseline to 14 weeks was -1.53% (-1.69% to -1.37%; P < 0.001), and from baseline to 27 weeks was -1.79% (-1.97% to -1.61%; P < 0.001). Significant reductions in mean HbA1c were achieved at both visits in all patient subsets: Patients with type 2 and type 1/latent autoimmune diabetes in adults (LADA); patients using insulin at baseline and patients naïve to insulin at baseline. Patients administering insulin at baseline required significantly less insulin on V-Go (86-99 LSM units/day at baseline to 58 LSM units/day at 27 weeks; P < 0.001). Across all patients, reported hypoglycemic events were no more frequent on V-Go than on previous therapy.

CONCLUSION

V-Go is safe and effective in patients with sub-optimally controlled diabetes requiring insulin therapy. Glycemic control improved significantly, less insulin was required, and hypoglycemic events were similar after patients switched to insulin delivery by V-Go.

FUNDING

Valeritas, Inc.

Diabetes Mellitus and Prediabetes on Kidney Transplant Waiting List- Prevalence, Metabolic Phenotyping and Risk Stratification Approach

BACKGROUND

Despite a significant prognostic impact, little is known about disturbances in glucose metabolism among kidney transplant candidates. We assess the prevalence of diabetes mellitus (DM) and prediabetes on kidney transplant waiting list, its underlying pathophysiology and propose an approach for individual risk stratification.

METHODS

All patients on active kidney transplant waiting list of a large European university hospital transplant center were metabolically phenotyped.

RESULTS

Of 138 patients, 76 (55%) had disturbances in glucose metabolism. 22% of patients had known DM, 3% were newly diagnosed. 30% were detected to have prediabetes. Insulin sensitivity and-secretion indices allowed for identification of underlying pathophysiology and risk factors. Age independently affected insulin secretion, resulting in a relative risk for prediabetes of 2.95 (95%CI 1.38-4.83) with a cut-off at 48 years. Body mass index independently affected insulin sensitivity as a continuous variable.

CONCLUSIONS

The prevalence of DM or prediabetes on kidney transplant waiting list is as high as 55%, with more than one third of patients previously undiagnosed. Oral glucose tolerance test is mandatory to detect all patients at risk. Metabolic phenotyping allows for differentiation of underlying pathophysiology and provides a basis for early individual risk stratification and specific intervention to improve patient and allograft outcome.

Metformin inhibits the proliferation of A549/CDDP cells by activating p38 mitogen-activated protein kinase

Metformin (Met) has been widely used in hypoglycemic therapy, and it is also able to reduce the incidence of tumors and tumor-related mortality. The present study investigated whether Met could inhibit the proliferation of lung cancer cells and enhance the sensitivity of a cisplatin-resistant lung cancer A549/CDDP cell line to cisplatin. It was found that Met treatment inhibited the proliferation of different lung cancer cells. Met inhibited the cell cycle of the A549/CDDP cells and induced apoptosis. Upon Met treatment, the A549/CDDP cells were arrested at the G₁ phase. The apoptosis of the A549/CDDP cells was confirmed by the appearance of apoptotic bodies in cells stained with Hoechst 33258, and by the cleavage of BH3 interacting-domain death agonist and poly (ADP-ribose) polymerase. Furthermore, results showed that the phosphorylation level of p38 mitogen-activated protein kinase (MAPK) was increased after Met treatment. The p38 MAPK inhibitor, SB203580, significantly blocked Met-induced apoptosis in the A549/CDDP cells. It was further demonstrated that Met could enhance the sensitivity of the A549/CDDP cells to cisplatin. In summary, the present study identified Met as a drug sensitizer that could improve the treatment effect of cisplatin in cisplatin-resistant lung cancers.