Changes in HbA1c and weight, and treatment persistence, over the 18 months following initiation of second-line therapy in patients with type 2 diabetes: results from the United Kingdom Clinical Practice Research Datalink

Adherence to newer second-line oral antidiabetic drugs among people with type 2 diabetes-A systematic review

The adherence to oral antidiabetic drugs (OADs) among people with type 2 diabetes (T2D) is suboptimal. However, new OADs have been marketed within the last 10 years. As these new drugs differ in mechanism of action, treatment complexity, and side effects, they may influence adherence. Thus, the aim of this study was to assess the adherence to newer second-line OADs, defined as drugs marketed in 2012-2022, among people with T2D. A systematic review was performed in CINAHL, Cochrane Trials, Embase, PubMed, PsycINFO, and Scopus. Articles were included if they were original research of adherence to newer second-line OADs and reported objective adherence quantification. The quality of the articles was assessed using JBI's critical appraisal tools. The overall findings were reported according to the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines and summarized in a narrative synthesis. All seven included articles were European retrospective cohort studies investigating alogliptin, canagliflozin, dapagliflozin, empagliflozin, and unspecified types of SGLT2i. Treatment discontinuation and medication possession ratio (MPR) were the most frequently reported adherence quantification measures. Within the first 12 months of treatment, 29%-44% of subjects on SGLT2i discontinued the treatment. In terms of MPR, 61.7%-94.9% of subjects on either alogliptin, canagliflozin, dapagliflozin, empagliflozin or an unspecified SGLT2i were adherent. The two investigated adherence quantification measures, treatment discontinuation and MPR, suggest that adherence to the newer second-line OADs may be better than that of older OADs. However, a study directly comparing older and newer OADs should be done to verify this.

Pharmacological interventions in human aging

Pharmacological interventions are emerging as potential avenues of alleviating age-related disease. However, the knowledge of ongoing clinical trials as they relate to aging and pharmacological interventions is dispersed across a variety of mediums. In this review we summarize 136 age-related clinical trials that have been completed or are ongoing. Furthermore, we establish a database that describe the trials (AgingDB, www.agingdb.com) keeping track of the previous and ongoing clinical trials, alongside their outcomes. The aim of this review and database is to give people the ability to easily query for their trial of interest and stay up to date on the latest results. In sum, herein we give an overview of the current pharmacological strategies that have been applied to target human aging.

Predictors of HbA1c treatment response to add-on medication following metformin monotherapy: a population-based cohort study

Evidence on the influence of patient characteristics on HbA1c treatment response for add-on medications in patients with type 2 diabetes (T2D) is unclear. This study aims to investigate the predictors of HbA1c treatment response for three add-on medications (sulfonylureas (SU), dipeptidyl peptidase-4 (DPP-4) and sodium-glucose cotransporter-2 (SGLT-2) inhibitor) in metformin monotherapy treated patients with T2D. This retrospective cohort study was conducted using the electronic health record data from six primary care clinics in Singapore. A total of 9748 adult patients with T2D on metformin monotherapy receiving SU, DPP-4 or SGLT-2 add-on were 1:1 propensity score matched to patients receiving other add-on medications. Patient demographics, laboratory results, diabetes related complications, comedications, and treatment response at two endpoints (HbA1c reduction ≥ 1% at 6th month, HbA1c goal attainment < 7% at 12th month) were examined. Multiple logistic regression analyses were used to identify patient characteristics associated with the treatment responses. After matching, there were 1073, 517, and 290 paired cohorts of SU, DPP-4 and SGLT-2 respectively. Besides baseline HbA1c, patients with longer hypertension disease duration and higher cholesterol HDL were associated with better treatment response to SU medication add-on. Lower estimated glomerular filtration rate (eGFR), and angiotensin-II receptor medications were associated with better treatment response to DPP-4 add-on. Lower cholesterol HDL, higher creatinine serum, absence of renal complications and beta-blockers medications were associated with better treatment response to SGLT-2 add-on. The cholesterol HDL, creatinine serum, eGFR, hypertension disease duration, angiotensin-II receptors and beta-blockers class of medications can influence the HbA1c treatment response for SU, DPP-4 and SGLT-2 add-on medications. Knowing the patients' characteristics that influence treatment response can assist in guiding clinical decisions when selecting the appropriate add-on medication, ultimately helping to prevent the development of diabetes-related complications.

Adherence to and persistence with antidiabetic medications and associations with clinical and economic outcomes in people with type 2 diabetes mellitus: A systematic literature review

We designed a systematic literature review to identify available evidence on adherence to and persistence with antidiabetic medication in people with type 2 diabetes (T2D). Electronic screening and congress searches identified real-world noninterventional studies (published between 2010 and October 2020) reporting estimates of adherence to and persistence with antidiabetic medication in adults with T2D, and associations with glycaemic control, microvascular and/or macrovascular complications, hospitalizations and healthcare costs. Ninety-two relevant studies were identified, the majority of which were retrospective and reported US data. The proportions of patients considered adherent (median [range] 51.2% [9.4%-84.3%]) or persistent (median [range] 47.7% [16.9%-94.0%]) varied widely across studies. Multiple studies reported an association between greater adherence/persistence and greater reductions in glycated haemoglobin levels. Better adherence/persistence was associated with fewer microvascular and/or macrovascular outcomes, although there was little consistency across studies in terms of which outcomes were improved. More adherent and more persistent patients were typically less likely to be hospitalized or to have emergency department visits/admissions and spent fewer days in hospital annually than less adherent/persistent patients. Greater adherence and persistence were generally associated with lower hospitalization costs, higher pharmacy costs and lower or budget-neutral total healthcare costs compared with lower adherence/persistence. In conclusion, better adherence and persistence in people with T2D is associated with lower rates of microvascular and/or macrovascular outcomes and inpatient hospitalization, and lower or budget-neutral total healthcare expenditure. Education and treatment strategies to address suboptimal adherence and persistence are needed to improve clinical and economic outcomes.

Effect of Digital Lifestyle Management on Metabolic Control and Quality of Life in Patients with Well-Controlled Type 2 Diabetes

INTRODUCTION

The lack of effective, scalable solutions for lifestyle treatment is a global clinical problem, causing severe morbidity and mortality. Digital tools could enable broad utility, but long-term metabolic outcomes and the influence on quality of life are unclear.

METHODS

We developed a new method for lifestyle treatment that promotes self-reflection and iterative behavioural change, provided as a digital tool, and evaluated its effect on glycaemic control in patients with type 2 diabetes with HbA1c below 52 mmol/mol (n = 297). As a secondary analysis, its effect on quality of life (using SF-12) was examined in both participants with and without diabetes (total n = 1914). The tool was evaluated during a 12-week randomization period to assess the existence of effect, with a subsequent open-label follow-up to study long-term outcomes.

RESULTS

Participants were randomized to wait or access the intervention tool. The mean difference in HbA1c was 2 mmol/mol (95% CI - 4 to 0; P = 0.02) after 12 weeks in participants with type 2 diabetes. The groups were then merged to enable all participants to use the tool. The mean HbA1c reduction from baseline in patients with type 2 diabetes using the tool was 2 mmol/mol compared with matched controls (95% CI - 3 to 0; P = 0.005). In users with HbA1c above 45 mmol/mol, the mean difference between the groups was 4 mmol/mol (95% CI - 7 to - 2). The improvements were sustained during the follow-up of 1 year on average. Users of the tool also had improved quality of life from baseline to 6 months, mainly observed in non-diabetic participants.

CONCLUSION

The tool does not require in-person reinforcement or increased healthcare resources, and the marginal cost is fundamentally lower than pharmacological treatment and most existing lifestyle interventions. The results therefore open a new means for self-managed lifestyle treatment with long-term metabolic efficacy that can benefit large numbers of people.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04624321 and NCT05006508.

Can Remote Patient Monitoring Be the New Standard in Primary Care of Chronic Diseases, Post-COVID-19?

Background: One lesson from the current COVID-19 pandemic is the need to optimize health care provision outside of traditional settings, and potentially over longer periods of time. An important strategy is remote patient monitoring (RPM), allowing patients to remain at home, while they transmit health data and receive follow-up services. Materials and Methods: We conducted an overview of the latest systematic reviews that had included randomized controlled trials with adult patients with chronic diseases. We summarized results and displayed these in forest plots, and used GRADE (Grading of Recommendations Assessment, Development, and Evaluation) to assess our certainty of the evidence. Results: We included 4 systematic reviews that together reported on 11 trials that met our definition of RPM, each including patients with diabetes and/or hypertension. RPM probably makes little to no difference on HbA1c levels. RPM probably leads to a slight reduction in systolic blood pressure, with questionable clinical meaningfulness. RPM probably has a small negative effect on the physical component of health-related quality of life, but the clinical significance of this reduction is uncertain. We have low confidence in the finding that RPM makes no difference to the remaining five primary outcomes. Conclusion: Most of our findings are consistent with reviews of other, broader definitions of RPM. The type of RPM examined in this review is as effective as standard treatment for patients with diabetes/hypertension. If this or other types of RPM are to be used for "long covid" patients or for other chronic disease groups post-pandemic, we need to understand why RPM may negatively affect quality of life.

Efficacy of liraglutide added to sodium-glucose cotransporter-2 inhibitors in type 2 diabetes, stratified by baseline characteristics: Post-hoc analysis of LIRA-ADD2SGLT2i

AIMS

The LIRA-ADD2SGLT2i trial demonstrated that liraglutide + sodium-glucose cotransporter-2 inhibitors (SGLT2is) ± metformin significantly improved glycaemic control (not body weight) versus placebo in adults with type 2 diabetes (T2D). This post-hoc analysis assessed whether baseline characteristics influenced these findings.

MATERIALS AND METHODS

LIRA-ADD2SGLT2i (NCT02964247) was a placebo-controlled, double-blind, multinational trial, wherein participants received liraglutide (≤1.8 mg/day) or placebo (randomized 2:1). Changes from baseline to week 26 in haemoglobin A1c (HbA1c), body weight and waist circumference stratified by HbA1c, body mass index (BMI), diabetes duration, duration of pre-trial SGLT2i use and Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) were analysed. These five baseline characteristics were divided into tertiles, and the treatment effect was evaluated using the trial product estimand.

RESULTS

Data from all 303 participants were analysed. There was a significant interaction between baseline HbA1c tertiles (7.0%-<7.6%; 7.6%-8.1%; ≥8.2%-9.5%) and glycaemic control at week 26 (p_{[interaction]}  = .011), with the lowest HbA1c estimated treatment difference (95% confidence interval) observed in patients with lowest baseline HbA1c [-0.20% (-0.59, 0.19); -0.68% (-1.03, -0.33); -0.98% (-1.33, -0.64), respectively]. There were no significant interactions in glycaemic control across baseline BMI, diabetes duration, insulin resistance determined by HOMA-IR or SGLT2i use duration (p_{[interaction]}  > .05, all). Across the five characteristics assessed, no significant interactions were found for body weight or waist circumference changes from baseline (p_{[interaction]}  > .05, all).

CONCLUSION

For individuals with T2D and inadequate glycaemic control despite therapy with SGLT2is ± metformin, liraglutide 1.8 mg would provide an effective treatment intensification option, irrespective of HbA1c, BMI, diabetes duration, insulin resistance determined by HOMA-IR and SGLT2i use duration.

Comparison of cardiovascular outcomes and cardiometabolic risk factors between patients with type 2 diabetes treated with sodium-glucose cotransporter-2 inhibitors and dipeptidyl peptidase-4 inhibitors: a meta-analysis

AIMS 

Prevention of cardiovascular outcomes is a goal of the management of patients with type 2 diabetes mellitus patients as important as lowering blood glucose levels. Among the various glucose-lowering agents, the effects of sodium-glucose cotransporter-2 inhibitors (SGLT-2Is) and dipeptidyl peptidase-4 inhibitors (DPP-4Is) on cardiovascular outcomes have become the focus of recent researches.

METHODS AND RESULTS 

A systematic search was performed through several online database. All studies that compared the effects of SGLT-2Is and DPP-4Is on cardiovascular outcomes and cardiometabolic risk factors were reviewed. A total of 30 studies were included. Compared with DPP-4Is, SGLT-2Is treatment reduced the risk of stroke [risk ratio (RR) = 0.80; 95% confidence interval (CI), 0.76-0.84], myocardial infarction (RR = 0.85; 95% CI, 0.81-0.89), heart failure (RR = 0.58; 95% CI, 0.54-0.62), cardiovascular mortality (RR = 0.55; 95% CI, 0.51-0.60), and all-cause mortality (RR = 0.60; 95% CI, 0.57-0.63). In addition, SGLT-2Is presented favourable effects on hemoglobinA1c, fasting plasma glucose, systolic blood pressure, and diastolic blood pressure. The differences in blood lipids were also compared.

CONCLUSION

Sodium-glucose cotransporter-2 inhibitors are superior to DPP-4Is in terms of cardiovascular outcomes. Sodium-glucose cotransporter-2 inhibitors bring more benefits with respect to the cardiometabolic risk factors.

Role of Glucose-Lowering Medications in Erectile Dysfunction

Erectile dysfunction (ED) is a long-term complication of type 2 diabetes (T2D) widely known to affect the quality of life. Several aspects of altered metabolism in individuals with T2D may help to compromise the penile vasculature structure and functions, thus exacerbating the imbalance between smooth muscle contractility and relaxation. Among these, advanced glycation end-products and reactive oxygen species derived from a hyperglycaemic state are known to accelerate endothelial dysfunction by lowering nitric oxide bioavailability, the essential stimulus of relaxation. Although several studies have explained the pathogenetic mechanisms involved in the generation of erectile failure, few studies to date have described the efficacy of glucose-lowering medications in the restoration of normal sexual activity. Herein, we will present current knowledge about the main starters of the pathophysiology of diabetic ED and explore the role of different anti-diabetes therapies in the potential remission of ED, highlighting specific pathways whose activation or inhibition could be fundamental for sexual care in a diabetes setting.

DAPA-RWE: a retrospective multicenter study comparing dapagliflozin and sitagliptin in patients with Type 2 diabetes treated under routine clinical practice in Spain

Background: Weight reduction and glycemic control are key goals during Type 2 diabetes management. However, there are few country-specific, real-world data on cotransporter 2 inhibitors. Materials & methods: DAPA-RWE was a retrospective, multicenter study comparing the efficacy of dapagliflozin versus sitagliptin in Type 2 diabetes patients in Spain. Results: The study population comprised 1046 patients (594 with dapagliflozin, 452 with sitagliptin). Age was 61.8 ± 10.0 and 66.2 ± 11.4 years and glycosylated hemoglobin (HbA1c) 8.9 and 8.8%, respectively. The main end point (reduction in weight and HbA1c) was reached by 24.4 and 56.1% of patients, respectively; p < 0.05. This was confirmed with a propensity score matching analysis balanced for obesity-related variables at baseline. Conclusion: DAPA-RWE confirmed dapagliflozin to be more effective than sitagliptin in reducing HbA1c and weight.

Empagliflozin treatment effects across categories of baseline HbA1c, body weight and blood pressure as an add-on to metformin in patients with type 2 diabetes

AIM

To investigate the association of different categories of baseline cardio-metabolic risk factors on the treatment effects of empagliflozin 10 and 25 mg when added as second-line therapy to metformin in patients with type 2 diabetes (T2D).

MATERIALS AND METHODS

Patients aged 18 years or older with HbA1c 7.0%-10.0% were included. Analysis of covariance compared change from baseline to weeks 24 and 76 in HbA1c, body weight (BW) and systolic blood pressure (SBP) by respective baseline categories (HbA1c <8.5/≥8.5%; BW <80/80-90/>90 kg, SBP <130/130-140/>140 mmHg). Analyses were also conducted with a model using continuous covariates of cardio-metabolic factors.

RESULTS

In total, 637 patients (56.7% males; mean [SD] age 55.7 [9.9] years, HbA1c 7.9% [0.9%], BW 81.2 [18.8] kg, SBP 129.4 [14.6] mmHg) received one or more dose of either empagliflozin 10 mg (n = 217) or 25 mg (n = 213), or placebo (n = 207). At both time points, empagliflozin 10/25 mg versus placebo significantly (P < .0001) reduced HbA1c and BW, with greater reductions in HbA1c at higher baseline HbA1c (P interaction week 24/76 categorical and continuous models: .0290/.1431 and .0004/.0042, respectively) and in BW (P interaction .1340/.0012 and .0202/<.0001, respectively). Both empagliflozin doses also significantly lowered SBP versus placebo at both time points, with similar efficacy by subgroups of baseline SBP. Adverse events were consistent with the established empagliflozin safety profile across treatment groups.

CONCLUSIONS

Empagliflozin, as add-on to metformin, decreases HbA1c and BW, particularly in patients with higher HbA1c and BW baseline values, and effectively lowers SBP.

Analysis of the effectiveness of second oral glucose-lowering therapy in routine clinical practice from the mediterranean area: A retrospective cohort study

AIM

To compare the changes in HbA1c, the effect on body weight or both combined after the addition of a DPP-4i, SGLT-2i, or sulfonylureas (SU) to metformin in real-world condition.

METHODS

We used a primary care SIDIAP database. The included subjects were matched by propensity score according to baseline age, sex, HbA1c, weight, inclusion date, diabetes duration, and kidney function.

RESULTS

Mean absolute HbA1c reduction was: 1.28% for DPP4i, 1.29% for SGLT2i and 1.26% for SU. Mean weight reduction was: 1.21 kg for DPP4i, 3.47 kg for SGLT2i and 0.04 kg for SU. The proportion of patients who achieved combined target HbA1c (≥0.5%) and weight (≥3%) reductions after the addition of DPP-4i, SGLT-2i or SU, was: 24.2%, 41.3%, and 15.2%, respectively. Small differences in systolic blood pressure reduction (1.07, 3.10 and 0.96 mmHg, respectively) were observed in favour of SGLT-2i. Concerning the lipids, we observed small differences, with an HDL-cholesterol increase with SGLT-2i.

CONCLUSION

Our real-world study showed that the addition of SGLT-2i to metformin was associated with greater reductions in weight and the combination target of weight-HbA1c compared to SU and DPP4 inhibitors. However, similar hypoglycaemic effectiveness was observed among the three-drug classes.

Comparative effects of sulphonylureas, dipeptidyl peptidase-4 inhibitors and sodium-glucose co-transporter-2 inhibitors added to metformin monotherapy: a propensity-score matched cohort study in UK primary care

AIM

To assess the comparative effects of sodium-glucose co-transporter-2 (SGLT2) inhibitors, sulphonylureas (SUs) and dipeptidyl peptidase-4 (DPP-4) inhibitors on cardiometabolic risk factors in routine care.

MATERIALS AND METHODS

Using primary care data on 10 631 new users of SUs, SGLT2 inhibitors or DPP-4 inhibitors added to metformin, obtained from the UK Clinical Practice Research Datalink, we created propensity-score matched cohorts and used linear mixed models to describe changes in glycated haemoglobin (HbA1c), estimated glomerular filtration rate (eGFR), systolic blood pressure (BP) and body mass index (BMI) over 96 weeks.

RESULTS

HbA1c levels fell substantially after treatment intensification for all drugs: mean change at week 12: SGLT2 inhibitors: -15.2 mmol/mol (95% confidence interval [CI] -16.9, -13.5); SUs: -14.3 mmol/mol (95% CI -15.5, -13.2); and DPP-4 inhibitors: -11.9 mmol/mol (95% CI -13.1, -10.6). Systolic BP fell for SGLT2 inhibitor users throughout follow-up, but not for DPP-4 inhibitor or SU users: mean change at week 12: SGLT2 inhibitors: -2.3 mmHg (95% CI -3.8, -0.8); SUs: -0.8 mmHg (95% CI -1.9, +0.4); and DPP-4 inhibitors: -0.9 mmHg (95% CI -2.1,+0.2). BMI decreased for SGLT2 inhibitor and DPP-4 inhibitor users, but not SU users: mean change at week 12: SGLT2 inhibitors: -0.7 kg/m² (95% CI -0.9, -0.5); SUs: 0.0 kg/m² (95% CI -0.3, +0.2); and DPP-4 inhibitors: -0.3 kg/m² (95% CI -0.5, -0.1). eGFR fell at 12 weeks for SGLT2 inhibitor and DPP-4 inhibitor users. At 60 weeks, the fall in eGFR from baseline was similar for each drug class.

CONCLUSIONS

In routine care, SGLT2 inhibitors had greater effects on cardiometabolic risk factors than SUs. Routine care data closely replicated the effects of diabetes drugs on physiological variables measured in clinical trials.

Association between Renal Podocalyxin Expression and Renal Dysfunction in Patients with Diabetic Nephropathy: A Single-Center, Retrospective Case-Control Study

This retrospective study investigated whether podocalyxin expression in renal biopsies and urine of patients with diabetic nephropathy (DN) is associated with renal function. This retrospective study included 32 patients with nephropathy, secondary to type 2 diabetes treated at the First Hospital of Lanzhou University (January 2010 to January 2015). Compared with the control group, the DN group had a significantly lower renal expression of podocalyxin and higher urinary podocalyxin/creatinine ratio. Patients with DN were divided into the high and low expression groups according to podocalyxin expression in renal tissues. Patients in the low expression group had longer diabetes duration, lower plasma albumin and eGFR, higher glycated hemoglobin (HbA1c), 24 h urinary protein, serum creatinine, and urinary podocalyxin/creatinine ratio, and more severe glomerular, tubulointerstitial, and renal interstitial inflammation than patients in the high expression group (all P < 0.01). The renal survival rate was significantly lower in the low expression group than in the high expression group (P < 0.01). Single-factor Cox regression analysis showed that reduced podocalyxin expression and increased urinary podocalyxin excretion were associated with poor renal outcome. Measuring podocalyxin levels in renal tissues and urine could help evaluate the progression of DN.

A Retrospective Population Study to Develop a Predictive Model of Prediabetes and Incident Type 2 Diabetes Mellitus from a Hospital Database in Japan Between 2004 and 2015

Background

Type 2 diabetes mellitus is a global public health problem. Prediabetes may be reversed by weight loss, diet, and lifestyle changes. However, without intervention, between 30–50% of individuals with prediabetes develop type 2 diabetes. This retrospective population study was conducted to develop a predictive model of prediabetes and incident type 2 diabetes mellitus using data from 2004 to 2015 from the DRYAD Japanese hospital database.

Material/Methods

A retrospective longitudinal population study was conducted using the DRYAD database from Murakami Memorial Hospital, Gifu, Japan, to construct a predictive model for prediabetes and incident type 2 diabetes mellitus in the population. Univariate analysis and multivariate analysis were performed to identify the variables that were associated with prediabetes. These variables were used to construct (75% samples) and verify (25% samples) the predictive model.

Results

From 2004 to 2015, a total of 11,113 cases were identified. Multivariate logistic regression analysis included the six variables of age, waist circumference, smoking history, the presence of fatty liver, fasting blood glucose (FBG), and glycated hemoglobin (HbA1c) level. Data were used to construct (75% samples) and verify (25% samples) in a predictive model. The area under the receiver operating characteristic (ROC) curve (AUC) of the predictive model was 0.87 (0.85–0.89) in the training cohort and 0.87 (0.86–0.90) in the validation cohort.

Conclusions

A prognostic model based on six variables was predictive for incident type 2 diabetes mellitus and prediabetes in a healthy population in Japan.

RNA-Seq analysis of the pathogenesis of STZ-induced male diabetic mouse liver

OBJECTIVE

Diabetes mellitus (DM) is a chronic disease characterized by hyperglycemia resulting from defects in insulin secretion, insulin action, or both. The liver is a key organ involved in glucose metabolism, and the major target proteins' changes in the pathogenesis are still unknown.

METHODS

A diabetic mouse model was induced by intraperitoneal injection of streptozotocin (STZ) solution and the RNA-Seq analysis was used to evaluate the transcription differences in the livers of diabetic mice of this study. And then, the differentially expressed genes were validated between a normal mouse group (n = 6) and a diabetic mouse group (n = 6) using quantitative real-time PCR (qRT-PCR) and Western blotting analysis. In addition, we also constructed protein-protein interacting (PPI) networks of up-regulated and down-regulated genes.

RESULTS

Transcriptome sequencing analysis revealed 370 up-regulated differentially expressed genes and 281 down-regulated differentially expressed genes in the diabetes model. The gene ontology (GO) analysis and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis results showed that the differentially expressed genes were mainly involved in immunity, enzyme activity, metabolism, and steroid synthesis. PPI analysis results indicated that the main 15 core differential proteins (Cyp51a1, Acsl4, Ugt1a1, Stat1, Gsta2, Cbr1, Aldh1a1, Fasn, Ces1, Camk2b, Tap1, Egr1, Sqle, Lpin1, Fabp5) were involved in the pathogenesis of diabetes. The qRT-PCR results showed that expression changes of four genes (Acsl4, Stat1, Gsta2, Fabp5) were in different directions from those of RNA-Seq. Western blotting results indicated that Sqle expression change at the protein level was in opposition direction from qRT-PCR, and we speculated that Sqle may be involved in the post-transcriptional modification process.

CONCLUSIONS

Our data speculated that the pathogenesis of diabetes may be mediated mainly through steroid biosynthesis, metabolic processes, and immune responses. Further researches on these pathways may provide new targets for the prevention and treatment of diabetes.

Intensification of medical management in type 2 diabetes: A real-world look at primary care practice

AIMS

To determine which drugs were selected to be added to metformin for patients on dual anti-diabetic medication in the management of type 2 diabetes and to assess HbA1c and BMI outcomes at 6 and 12 months after the initiation of a second anti-diabetic medication.

METHODS

A retrospective chart review of electronic medical record data. Second line anti-diabetic medication added to metformin between 7/1/2012 to 8/31/2017 in the primary care practice in Fairview Health System in Minnesota.

RESULTS

3413 patients met the selection criteria of type 2 diabetes, 18 years and older, dual anti-diabetes therapy with metformin being the first prescribed. The most frequently prescribed medications added to metformin were sulfonylurea and basal insulin accounting for 51% (1724/3413) and 37% (1268/3413) respectively. Mean HbA1c reductions at 6 and 12 months among 2134 patients with baseline and follow-up HbA1c data respectively were: GLP-1 agonist (-1.3, P < 0.001; -1.2, P < 0.001), sulfonylurea (-1.1, P < 0.001; -0.9, P < 0.001), basal insulin (-1.1, P < 0.001; -1.0, P < 0.001), DPP4 inhibitor (-0.7, P = 0.223; -0.8, P = 0.049). Patients prescribed a GLP-1 agonist had a higher mean baseline BMI (BMI =40.3 kg/m²) and this was the only group with a statistically significant BMI reduction from baseline at 6 and 12 months (-1.5, P = 0.049 and -1.8, P = 0.041).

CONCLUSION AND RELEVANCE

Type 2 diabetes patients treated with sulfonylurea, basal insulin and GLP-1 agonist as an add on to metformin had significant reductions in HbA1c. Patients prescribed a GLP-1 agonist had a significant BMI reduction.

Dose distribution and up-titration patterns of metformin monotherapy in patients with type 2 diabetes

AIMS

To assess the dose distribution among users of metformin monotherapy as well as the patterns of up-titration following initiation of therapy in people with type 2 diabetes mellitus (T2DM).

MATERIALS AND METHODS

This was a retrospective cohort study of adults with T2DM in the United Kingdom (UK). Metformin dose distribution was assessed at 0, 6 and 12 months in people initiating metformin monotherapy (new users) and cross-sectionally in people with ongoing metformin monotherapy (prevalent users). Patterns and predictors of up-titration were also analysed in new users. Dose distributions and treatment patterns were assessed descriptively; predictors of up-titration were determined using multivariable logistic regressions.

RESULTS

Totals of 6174 new users and 8733 prevalent users were included. New users initiated metformin at >0 mg to ≤500 mg (25%), >500 mg to ≤1000 mg (47%), >1000 mg to ≤1500 mg (17%) or >1500 mg to ≤2000 mg (12%) daily. This distribution did not vary over time. Prevalent users of metformin received doses of >0 mg to ≤500 mg (14%), >500 mg to ≤1000 mg (40%), >1000 mg to ≤1500 mg (15%), >1500 mg to ≤2000 mg (29%) or >2000 mg (1%) daily. Among new users of metformin, 6.7% and 10.8% had been up-titrated at 6 and 12 months, respectively, despite the majority having glycated haemoglobin >53 mmol/mol. Predictors of up-titration included younger age and higher HbA1c.

CONCLUSIONS

A majority of T2DM patients taking metformin received a dose ≤1000 mg/day. Up-titration of metformin is infrequent in the first year postinitiation.

Type 2 diabetes care: Improvement by standardization at a diabetes rehabilitation clinic. An observational report

BACKGROUND

Outcome of type 2 diabetes care depends on the acceptance of self-responsibility by informed patients, as treatment goals will otherwise be missed.

AIMS AND METHODS

This pre/post-observational report describes the clinical outcome of type 2 diabetes care in patients with type 2 diabetes (N =930) admitted consecutively to a diabetes rehabilitation clinic (DRC) between June 2013, and June 2016, where they were exposed to standardized lifestyle modification with meals low in salt and rich in vegetables and fruits, totaling 1,200 to 1,600 kcal/d, and an add-on exercise load equivalent to 400-600 kcal/d.

RESULTS

At admission, patients presented with multiple treatment modes, elevated HbA1c levels (7.6±1.5%, 60±16 mmol/mol), a high prevalence of co-morbidities dominated by obesity (79%), a low rate of influenza and pneumococcal immunization (<9%) and underuse of lipid-lowering drugs (-29%). Analysis of clinical and metabolic outcome after 3 weeks shows that simple standardization of and better adherence to treatment recommendations improved (p<0.0001) glucose (HbA1c -0.4±0.4%) and lipid metabolism (LDL/HDL ratio, -0.58±0.03), permitting a 39% reduction in insulin dosage, omission of insulin in 36/232 patients and omission of oral antidiabetic drugs (OADs) other than metformin and DPP4-inhibitors, while the use of GLP-1 analogs doubled to 5.2%. Improved outcome was independent of treatment strategy and more marked at initially high HbA1c at costs less than 25% of those encountered at a standard hospital.

CONCLUSIONS

Our observations support the clinical notion that adherence to basic treatment recommendations is indispensable in type 2 diabetes care if metabolic and clinical treatment goals are to be met, and if inappropriate add-on over-medicalization with OADs and/or insulin is to be avoided. To this end, 'imprinting' patients at a DRC could be of considerable help.

Effect of dapagliflozin on obstructive sleep apnea in patients with type 2 diabetes: a preliminary study

Objective

The aim of this case-control study was to assess the efficacy of dapagliflozin combined with metformin for type-2 diabetes mellitus (T2DM) with obstructive sleep apnea hypopnea syndrome (OSAHS).

Methods

A total of 36 patients with newly-diagnosed T2DM and OSAHS were randomized divided into two groups. Eighteen OSAHS patients with T2DM, who were treated with dapagliflozin and metformin, were assigned as the dapagliflozin group. These patients were given dapagliflozin and metformin for 24 weeks between February 2017 and February 2018. Another 18 OSAHS patients with T2DM, who were treated with glimepiride and metformin for 24 weeks, were assigned as the control group. Fasting plasma glucose (FPG) level, postprandial blood glucose (PPG), hemoglobin A1C (HbA1c), fasting insulin, homeostasis model assessment of insulin resistance (HOMA-IR), blood lipids, body mass index (BMI), blood pressure, apnea-hypopnea index (AHI), minimum oxygen saturation (LSpO₂), and Epworth Somnolence Scale (ESS) score were measured before and at 24 weeks after the initiation of treatment.

Results

In the dapagliflozin group, triglyceride (TG), systolic pressure (SBP) and diastolic pressure (DBP) significantly decreased following treatment, while high-density lipoprotein cholesterol (HDL-C) significantly increased (P < 0.05). Furthermore, a reduction in AHI, an increase in LSpO₂ and a decrease in ESS score were observed in the dapagliflozin group (P < 0.05), but not in the control group. Moreover, blood glucose, HbA1c, HOMA-IR, and BMI significantly decreased in these two groups, and the decrease was more significant in the dapagliflozin group.

Conclusion

These present results indicate that dapagliflozin can significantly reduce glucose, BMI, blood pressure and AHI, and improve hypoxemia during sleep and excessive daytime sleepiness, which thereby has potential as an effective treatment approach for OSAHS.

Dipeptidyl Peptidase 4 Inhibitors and Risk of Inflammatory Bowel Disease: Real-world Evidence in U.S. Adults

OBJECTIVE

A recent study raises concerns that dipeptidyl peptidase 4 inhibitors (DPP4i) are associated with increased risk of inflammatory bowel disease (IBD). We evaluated the association between new use of DPP4i and IBD risk compared with other second-line antihyperglycemics.

RESEARCH DESIGN AND METHODS

We implemented an active-comparator, new-user cohort design using two U.S. administrative claims databases for commercially insured (MarketScan) and older adult (Medicare fee-for-service, 20% random sample) patients from January 2007 to December 2016. We identified patients, aged ≥18 years, who initiated DPP4i versus sulfonylureas (SUs) or initiated DPP4i versus thiazolidinediones (TZDs) and were without prior diagnosis, treatment, or procedure for IBD. The primary outcome was incident IBD, defined by IBD diagnosis preceded by colonoscopy and biopsy and followed by IBD treatment. We performed propensity score weighting to control for measured baseline confounding, estimated adjusted hazard ratios (aHRs [95% CI]) using weighted Cox proportional hazards models, and used random-effects meta-analysis models to pool aHRs across cohorts.

RESULTS

We identified 895,747 eligible patients initiating DPP4i, SU, or TZD; IBD incidence rates ranged from 11.6 to 32.3/100,000 person-years. Over a median treatment duration of 1.09-1.69 years, DPP4i were not associated with increased IBD risk across comparisons. The pooled aHRs for IBD were 0.82 (95% CI 0.41-1.61) when comparing DPP4i (n = 161,612) to SU (n = 310,550) and 0.76 (0.46-1.26) when comparing DPP4i (n = 205,570) to TZD (n = 87,543).

CONCLUSIONS

Our population-based cohort study of U.S. adults with diabetes suggests that short-term DPP4i treatment does not increase IBD risk.

Efficacy of ertugliflozin in monotherapy or combination therapy in patients with type 2 diabetes: A pooled analysis of placebo-controlled studies

BACKGROUND

This pooled analysis assessed the efficacy of ertugliflozin versus placebo as monotherapy or with other antihyperglycaemic agents across patient subgroups defined by demographic and disease characteristics.

METHODS

Data from three phase III randomised, placebo-controlled, double-blind studies (NCT01958671, NCT02033889 and NCT02036515) with similar designs and populations were pooled (N = 1544).

RESULTS

At Week 26, placebo-adjusted least squares mean changes from baseline in glycated haemoglobin with ertugliflozin 5 and 15 mg were -0.8% (95% confidence interval: -0.9, -0.7) and -0.9% (-1.0, -0.8), respectively. Reductions were consistent across subgroups. Placebo-adjusted least squares mean changes in body weight were -1.8 kg (-2.2, -1.4) for both ertugliflozin doses; for systolic blood pressure, these were -3.4 mmHg (-4.8, -2.0) and -3.5 mmHg (-4.9, -2.0) for ertugliflozin 5 and 15 mg, respectively. Higher proportions of patients receiving ertugliflozin had glycated haemoglobin <7.0%, weight loss ⩾5% and systolic blood pressure <130 mmHg versus placebo. Ertugliflozin and placebo safety profiles were similar, including incidences of hypoglycaemia, urinary tract infection and hypovolaemia. Genital mycotic infection and adverse events related to osmotic diuresis were more common with ertugliflozin.

CONCLUSION

Ertugliflozin demonstrated efficacy as monotherapy or with other antihyperglycaemic agents in patients with different demographic and disease characteristics and was generally well tolerated.

Glycaemic, weight, and blood pressure changes associated with early versus later treatment intensification with dapagliflozin in United Kingdom primary care patients with type 2 diabetes mellitus

AIMS

Early treatment intensification for type 2 diabetes mellitus (T2DM) is often required to achieve glycaemic control and avoid longer-term complications. We assessed associations between early versus later dapagliflozin initiation with changes in glucose control, weight, and blood pressure using UK Clinical Practice Research Datalink (CPRD) data.

METHODS

People with T2DM aged ≥18 years, initiating dapagliflozin between November 2012 and August 2016 and with prior oral T2DM therapy (N = 3774), were included. The relationship between early (first intensification after metformin or sulfonylurea monotherapy) and later (second or higher-order intensification) dapagliflozin use and baseline changes in glycated haemoglobin A1c (HbA1c; ≥1.0% absolute reduction), weight (≥5.0% relative loss), and systolic blood pressure (SBP; ≥2 mmHg absolute reduction) after 6-12 months were assessed.

RESULTS

Overall, 25% of patients (951 of 3774) were early users and 75% (2823 of 3774) were later users. Later users were older, more likely to be men, and had longer disease duration. Early and later users had similar baseline mean HbA1c levels. For early versus later users, respectively, baseline-adjusted mean (95% confidence interval [CI]) reductions were 1.54% (-1.65, -1.44) versus 1.02% (-1.08, -0.97) in HbA1c, 3.31% (-4.37, -2.25) versus 4.06% (-5.05, -3.07) in weight, and 2.50 mm Hg (-3.89, -1.11) versus 2.84 mm Hg (-3.67, -2.01) in SBP. Early versus later use was associated with a greater likelihood of adjusted HbA1c reduction of ≥1% (odds ratio: 1.68, 95% CI: 1.15-2.45).

CONCLUSIONS

Glycaemic benefits were greater with early versus later dapagliflozin intensification. These results support broader and earlier dapagliflozin use.

Use of Dapagliflozin in the Management of Type 2 Diabetes Mellitus: A Real-World Evidence Study in Indian Patients (FOREFRONT)

Background: Dapagliflozin is approved in India based on a controlled clinical study. This study included type 2 diabetes mellitus (T2DM) Indian patients to determine effectiveness of dapagliflozin in the real-world setup. Methods: Data were collected retrospectively and prospectively for 3 months. Primary endpoint was mean change in glycated hemoglobin (HbA1c) from baseline to months 3 and 6. Patients were stratified by baseline HbA1c and body mass index (BMI). Paired t-test or Wilcoxon signed-rank test at 5% level of significance with two-sided 95% confidence intervals analyzed endpoints. Results: Total 98.1% (n = 1941/1978) patients completed the study, majority of them were men (57.5%), <60 years (77.8%). Mean (standard deviation [SD]) HbA1c decreased significantly from baseline (9.11% [1.44]) to month 3 (8.11% [1.22]; Δ = 1.00% [1.01]) and month 6 (7.62% [1.04]; Δ = 1.49% [1.18]), P < 0.001. Per baseline HbA1c stratification, the largest mean (SD) decrease in HbA1c was in patients with baseline HbA1c >10% (1.86% [1.32] at month 3; 2.80% [1.22] at month 6). Decrease in mean body weight was significant from baseline (78.15 kg [13.48]) to month 3 (77.01 kg [13.21]; Δ = 1.14 kg [2.21]) and month 6 (76.16 kg [13.09]; Δ = 1.86 kg [3.04]), P < 0.001, with maximum weight loss in patients with BMI >30 kg/m² (1.60 kg [2.50] and 2.56 kg [3.50] at months 3 and 6, respectively). Systolic/diastolic blood pressure also improved. Of the 58 (2.9%) patients having ≥1 adverse event (AE), 9 (0.5%) had vulvovaginitis and 4 (0.2%) each had fungal infection and urinary tract infection (UTI). One patient had a serious AE (SAE) of UTI. No patients died or discontinued the study because of AEs or SAEs. Conclusion: Dapagliflozin significantly decreased HbA1c and body weight in Indian T2DM patients. Dapagliflozin was well tolerated and no new safety signals were detected.

Time trends in prescribing of type 2 diabetes drugs, glycaemic response and risk factors: A retrospective analysis of primary care data, 2010-2017

AIM

To describe population-level time trends in prescribing patterns of type 2 diabetes therapy, and in short-term clinical outcomes (glycated haemoglobin [HbA1c], weight, blood pressure, hypoglycaemia and treatment discontinuation) after initiating new therapy.

MATERIALS AND METHODS

We studied 81 532 people with type 2 diabetes initiating a first- to fourth-line drug in primary care between 2010 and 2017 inclusive in United Kingdom electronic health records (Clinical Practice Research Datalink). Trends in new prescriptions and subsequent 6- and 12-month adjusted changes in glycaemic response (reduction in HbA1c), weight, blood pressure and rates of hypoglycaemia and treatment discontinuation were examined.

RESULTS

Use of dipeptidyl peptidase-4 inhibitors as second-line therapy near doubled (41% of new prescriptions in 2017 vs. 22% in 2010), replacing sulphonylureas as the most common second-line drug (29% in 2017 vs. 53% in 2010). Sodium-glucose co-transporter-2 inhibitors, introduced in 2013, comprised 17% of new first- to fourth-line prescriptions by 2017. First-line use of metformin remained stable (91% of new prescriptions in 2017 vs. 91% in 2010). Over the study period there was little change in average glycaemic response and in the proportion of people discontinuing treatment. There was a modest reduction in weight after initiating second- and third-line therapy (improvement in weight change 2017 vs. 2010 for second-line therapy: -1.5 kg, 95% confidence interval [CI] -1.9, -1.1; P < 0.001), and a slight reduction in systolic blood pressure after initiating first-, second- and third-line therapy (improvement in systolic blood pressure change 2017 vs. 2010 range: -1.7 to -2.1 mmHg; all P < 0.001). Hypoglycaemia rates decreased over time with second-line therapy (incidence rate ratio 0.94 per year, 95% CI 0.88, 1.00; P = 0.04), mirroring the decline in use of sulphonylureas.

CONCLUSIONS

Recent changes in prescribing of therapy for people with type 2 diabetes have not led to a change in glycaemic response and have resulted in modest improvements in other population-level short-term clinical outcomes.

Weight change and blood glucose concentration as markers for pancreatic cancer in subjects with new-onset diabetes mellitus: A matched case-control study

OBJECTIVES

To evaluate the potential of blood glucose levels and weight change before the onset of diabetes as predictors of pancreatic cancer among subjects with new-onset diabetes, that is, cancer-related diabetes versus normal type 2 diabetes.

METHODS

We conducted a case-control study among subjects with new diabetes in the United Kingdom-based Clinical Practice Research Datalink. Cases were pancreatic cancer subjects with diabetes for ≤2 years before the cancer diagnosis (i.e., cancer-related diabetes). Controls were cancer-free, type 2 diabetic subjects matched to cases on age, sex, and diabetes duration. We calculated adjusted odds ratios (aORs) for pancreatic cancer as a function of both weight change and blood glucose before the onset of diabetes.

RESULTS

Weight loss of 10.0%-14.9% at diabetes onset was associated with an aOR for pancreatic cancer of 3.58 (95% CI 2.31-5.54), loss of ≥15.0%, with an aOR of 4.56 (95% CI 2.82-7.36), compared with stable weight. Blood glucose levels of ≤5.1 mmol/L or 5.2-5.6 mmol/L before diabetes onset were associated with an increased risk of a pancreatic cancer diagnosis, with aORs of 2.42 (95% CI 1.60-3.66) and 2.20 (95% CI 1.45-3.35), respectively, when compared with blood glucose levels ≥6.3 mmol/L within >2-3 years before cancer detection.

CONCLUSIONS

Weight loss as well as blood glucose levels in the normal range (and thus rapid development of hyperglycemia) before diabetes onset may be predictive of pancreatic cancer-related diabetes and may help target which subjects with new diabetes to refer for pancreatic cancer screening examinations.

Glycaemic control after treatment intensification in patients with type 2 diabetes uncontrolled on two or more non-insulin antidiabetic drugs in a real-world setting

AIM

To assess glycaemic control after treatment intensification in patients with type 2 diabetes uncontrolled on ≥2 non-insulin antidiabetic drugs (NIADS).

METHODS

A retrospective cohort study, using electronic health records from the SIDIAP database (2010-2014), was conducted. Intensification was defined as the prescription of any new antidiabetic drug in patients treated with ≥2 NIADS and HbA1c >7%. The primary outcome was the absolute change in HbA1c 6-12 months after any intensification. Secondary analyses included the percentage of patients reaching HbA1c <7%, HbA1c <8%, and a reduction of HbA1c >1% after the first intensification.

RESULTS

There were 21 241 intensifications in 15 205 patients with a mean (SD) HbA1c of 9.02% (±1.35). Insulin and dipeptidyl peptidase-4 inhibitors (DPP4i) were the most frequently added therapies. The mean baseline-adjusted HbA1c reduction was 0.78% (95% CI, -0.80 to -0.76), varying from -0.69% with DPP4i to -0.85% with glucagon-like peptide-1 receptor agonists while the addition of insulin was associated with a reduction >1%. After the first intensification, 48.9% of patients achieved HbA1c <8%, 16.2% HbA1c <7%, and 43.1% a reduction >1%. High previous HbA1c was positively associated with the reduction of HbA1c >1% [odds ratio (OR) 2.13 (95% CI: 2.05-2.21)], but inversely associated with the attainment of HbA1c <7% [OR 0.64 (0.61-0.67)] or < 8% [OR 0.63 (0.60-0.65)]. Older age, male gender, higher Charlson index, and short diabetes duration were associated with achievement of HbA1c <7%.

CONCLUSIONS

Despite intensification, most patients failed the glycaemic goal of HbA1c <7%. The reduction depended mainly on preintensification HbA1c values, with small differences between drugs.

The Standard of Care in Type 2 Diabetes: Re-evaluating the Treatment Paradigm

There is currently a worldwide epidemic of type 2 diabetes (T2D) that is predicted to increase substantially in the next few years. With 80% of the global T2D population living in low to middle-income countries, there are issues with cost and of access to appropriate medicines. The objective of this symposium was to provide an overview of the efficacy and safety of glucose-lowering drugs, focussing in particular on sulfonylureas (SUs) in patients with T2D using data taken from both randomised controlled trials (RCTs) and real-world studies, the application of strategies to ensure optimal patient adherence and clinical outcomes, and the optimal use of SUs in terms of dose adjustment and agent choice to ensure the best clinical outcome. The symposium began by exploring a profile of the typical patient seen in diabetes clinical practice and the appropriate management of such a patient in the real world, before moving on to an overview of the risks associated with T2D and how the currently available agents, including newer antidiabetic medications, mitigate or exacerbate those risks. The final presentation provided an overview of real-world studies, the gap between RCTs and the real world, and the use of available glucose-lowering agents in daily clinical practice. Clinical evidence was presented demonstrating that tight glucose control improved both microvascular and macrovascular outcomes, but that aggressive treatment in patients with a very high cardiovascular risk could lead to adverse outcomes. Real-world data suggest that older agents such as SUs and metformin are being used in a large proportion of patients with T2D with demonstrable effectiveness, indicating that they still have a place in modern T2D management. The symposium, while acknowledging the need for newer antidiabetic drugs in specific situations and patient groups, recommended the continuation of SUs and metformin as the primary oral antidiabetic agents in resource-constrained regions of the world.Funding:Servier.

Personalized intervention to improve stress and sleep patterns for glycemic control and weight management in obese Emirati patients with type 2 diabetes: a randomized controlled clinical trial

Background: There is growing evidence that stress and sleep deprivation are involved in development of type 2 diabetes (T2DM). The latter is one of the most challenging health problems in the UAE. Therefore, the present study aimed to investigate the effects of personalized intervention on glycemic and weight control in Emirati patients with T2DM. The intervention involved assessment and modification of stress levels and sleep patterns. Methods: This was a randomized controlled study conducted on 51 Emirati patients with T2DM (age 18-60 years, body-mass index (BMI) ≥25 kg/m²): those in the intervention group who completed the trial numbered 18 and those in the control group who completed the trial numbered 17. Heart-rate variability was used for real-life and long-term assessments of stress, sleep, and recovery. Body weight, BMI, HbA_1c and lipid profile were included in the investigation. The National Clinical Trial identifier number is NCT03644134. Results: Percentage change in body weight was significantly greater (P<0.05) in the intervention group (-3.2±2.9) than the control group (-0.02). Percentage change in the BMI of the intervention group was -4.50±5.9, while the control group exhibited less change in BMI (-0.0003±3.3, P<0.05). In addition, a significant reduction in HbA_1c was observed in the intervention group (-5.3±15.7) and an increase of 9.9±13.1 was observed in the control group (P<0.01). Conclusion: The findings of the present study show that personalized approaches that reduce stress levels, increase recovery levels, and promote healthy sleep habits play an important role in weight management and glycemic control in T2DM.