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Aim: The decline in estimated glomerular filtration rate (eGFR), a significant predictor of cardiovascular disease (CVD), occurs heterogeneously in people with diabetes because of various risk factors. We investigated the role of eGFR decline in predicting CVD events in people with type 2 diabetes in both primary and secondary CVD prevention settings. Materials and Methods: Bayesian joint modelling of repeated measures of eGFR and time to CVD event was applied to the Exenatide Study of Cardiovascular Event Lowering (EXSCEL) trial to examine the association between the eGFR slope and the incidence of major adverse CV event/hospitalization for heart failure (MACE/hHF) (non‐fatal myocardial infarction, non‐fatal stroke, CV death, or hospitalization for heart failure). The analysis was adjusted for age, sex, smoking, systolic blood pressure, baseline eGFR, antihypertensive and lipid‐lowering medication, diabetes duration, atrial fibrillation, high‐density cholesterol, total cholesterol, HbA1c and treatment allocation (once‐weekly exenatide or placebo). Results: Data from 11 101 trial participants with (n = 7942) and without (n = 3159) previous history of CVD were analysed. The mean ± SD eGFR slope per year in participants without and with previous CVD was −0.68 ± 1.67 and −1.03 ± 2.13 mL/min/1.73 m2, respectively. The 5‐year MACE/hHF incidences were 7.5% (95% CI 6.2, 8.8) and 20% (95% CI 19, 22), respectively. The 1‐SD decrease in the eGFR slope was associated with increased MACE/hHF risks of 48% (HR 1.48, 95% CI 1.12, 1.98, p = 0.007) and 33% (HR 1.33, 95% CI 1.18,1.51, p < 0.001) in participants without and with previous CVD, respectively. Conclusions: eGFR trajectories over time significantly predict incident MACE/hHF events in people with type 2 diabetes with and without existing CVD, with a higher hazard ratio for MACE/hHF in the latter group. [ABSTRACT FROM AUTHOR]

Background: Glucagon-like peptide-1 receptor agonists are a viable option for the prevention of Alzheimer's disease (AD) but the mechanisms of this potential disease modifying action are unclear. We investigated the effects of once-weekly exenatide (EQW) on AD associated proteomic clusters. Methods: The Exenatide Study of Cardiovascular Event Lowering study compared the cardiovascular effects of EQW 2 mg with placebo in 13,752 people with type 2 diabetes mellitus. 4,979 proteins were measured (Somascan V0.4) on baseline and 1-year plasma samples of 3,973 participants. C-reactive protein (CRP), ficolin-2 (FCN2), plasminogen activator inhibitor 1 (PAI-1), soluble vascular cell adhesion protein 1 (sVCAM1) and 4 protein clusters were tested in multivariable mixed models. Results: EQW affected FCN2 (Cohen's d -0.019), PAI-1 (Cohen's d -0.033), sVCAM-1 (Cohen's d 0.035) and a cytokine-cytokine cluster (Cohen's d 0.037) significantly compared with placebo. These effects were sustained in individuals over the age of 65 but not in those under 65. Conclusions: EQW treatment was associated with significant change in inflammatory proteins associated with AD. Trial Registration: EXSCEL is registered on ClinicalTrials.gov: NCT01144338 on 10th of June 2010. [ABSTRACT FROM AUTHOR]

Objectives: Most type 2 diabetes simulation models utilise equations mapping out lifetime trajectories of risk factors [e.g. glycated haemoglobin (HbA1c)]. Existing equations, using historic data or assuming constant risk factors, frequently underestimate or overestimate complication rates. Updated risk factor time path equations are needed for simulation models to more accurately predict complication rates. Aims: (1) Update United Kingdom Prospective Diabetes Study Outcomes Model (UKPDS-OM2) risk factor time path equations; (2) compare quality-adjusted life-years (QALYs) using original and updated equations; and (3) compare QALY gains for reference case simulations using different risk factor equations. Methods: Using pooled contemporary data from two randomised trials EXSCEL and TECOS (n = 28,608), we estimated: dynamic panel models of seven continuous risk factors (high-density lipoprotein cholesterol, low density lipoprotein cholesterol, HbA1c, haemoglobin, heart rate, blood pressure and body mass index); two-step models of estimated glomerular filtration rate; and survival analyses of peripheral arterial disease, atrial fibrillation and albuminuria. UKPDS-OM2-derived lifetime QALYs were extrapolated over 70 years using historical and the new risk factor equations. Results: All new risk factor equation predictions were within 95% confidence intervals of observed values, displaying good agreement between observed and estimated values. Historical risk factor time path equations predicted trial participants would accrue 9.84 QALYs, increasing to 10.98 QALYs using contemporary equations. Discussion: Incorporating updated risk factor time path equations into diabetes simulation models could give more accurate predictions of long-term health, costs, QALYs and cost-effectiveness estimates, as well as a more precise understanding of the impact of diabetes on patients' health, expenditure and quality of life. Trial Registration: ClinicalTrials.gov NCT01144338 and NCT00790205 [ABSTRACT FROM AUTHOR]

Background: Pharmacological post-MI treatment is routinely initiated at intensive/cardiac care units. However, solid evidence for an early start of these therapies is only available for dual platelet therapy and statins, whereas data on beta blockers and RAAS inhibitors are heterogenous and mainly limited to STEMI and heart failure patients. Recently, the EMMY trial provided the first evidence on the beneficial effects of SGLT2 inhibitors (SGLT2i) when initiated early after PCI. In patients with type 2 diabetes mellitus, SGLT2i are considered "sick days drugs" and it, therefore, remains unclear if very early SGLT2i initiation following MI is as safe and effective as delayed initiation. Methods and results: The EMMY trial evaluated the effect of empagliflozin on NT-proBNP and functional and structural measurements. Within the Empagliflozin group, 22 (9.5%) received early treatment (< 24 h after PCI), 98 (42.2%) within a 24 to < 48 h window (intermediate), and 111 (48.1%) between 48 and 72 h (late). NT-proBNP levels declined by 63.5% (95%CI: − 69.1; − 48.1) in the early group compared to 61.0% (− 76.0; − 41.4) in the intermediate and 61.9% (− 70.8; − 45.7) in the late group (n.s.) within the Empagliflozin group with no significant treatment groups—initiation time interaction (pint = 0.96). Secondary endpoints of left ventricular function (LV-EF, e/e') as well as structure (LVESD and LVEDD) were also comparable between the groups. No significant difference in severe adverse event rate between the initiation time groups was detected. Conclusion: Very early administration of SGLT2i after acute myocardial infarction does not show disadvantageous signals with respect to safety and appears to be as effective in reducing NT-proBNP as well as improving structural and functional LV markers as initiation after 2–3 days. [ABSTRACT FROM AUTHOR]

Weight loss in overweight or obese individuals with Type 2 diabetes (T2D) can normalize hepatic fat metabolism, decrease fatty acid oversupply to β cells and restore normoglycaemia. One in six people has BMI <27 kg/m2 at diagnosis, and their T2D is assumed to have different aetiology. The Personal Fat Threshold hypothesis postulated differing individual thresholds for lipid overspill and adverse effects on β-cell function. To test this hypothesis, people with Type 2 diabetes and body mass index <27kg/m2 (n = 20) underwent repeated 5% weight loss cycles. Metabolic assessments were carried out at stable weight after each cycle and after 12 months. To determine how closely metabolic features returned to normal, 20 matched normoglycemic controls were studied once. Between baseline and 12 months: BMI fell (mean +− SD), 24.8 +− 0.4 to 22.5 +− 0.4 kg/m2 (P<0.0001) (controls: 21.5 +− 0.5); total body fat, 32.1 +− 1.5 to 27.6 +− 1.8% (P<0.0001) (24.6 +− 1.5). Liver fat content and fat export fell to normal as did fasting plasma insulin. Post-meal insulin secretion increased but remained subnormal. Sustained diabetes remission (HbA1c < 48 mmol/mol off all glucose-lowering agents) was achieved by 70% (14/20) by initial weight loss of 6.5 (5.5–10.2)%. Correction of concealed excess intra-hepatic fat reduced hepatic fat export, with recovery of β-cell function, glycaemic improvement in all and return to a non-diabetic metabolic state in the majority of this group with BMI <27 kg/m2 as previously demonstrated for overweight or obese groups. The data confirm the Personal Fat Threshold hypothesis: aetiology of Type 2 diabetes does not depend on BMI. This pathophysiological insight has major implications for management. [ABSTRACT FROM AUTHOR]

Aim: To examine sex differences in the characteristics and outcomes in participants with type 2 diabetes (T2D), with or without cardiovascular disease (CVD), randomized to once‐weekly exenatide (EQW) or placebo in the Exenatide Study of Cardiovascular Event Lowering (EXSCEL). Materials and Methods: Baseline characteristics were summarized and compared by sex. Cox proportional hazards regression models were used for clinical outcomes, including the primary composite outcome of cardiovascular (CV) death, non‐fatal myocardial infarction or non‐fatal stroke (MACE3). Models including sex‐by‐treatment interaction were used to evaluate differences in effects of EQW. Results: Overall, 5603 women and 9149 men were followed for a median of 3.2 years. Women were younger (mean 61.4 vs. 62.2 years, P <.001) and had a shorter duration of diabetes (mean 12.9 vs. 13.2 years, P =.039) and less coronary artery disease (35.2% vs. 61.0%, P <.001) than men, but also a less favourable metabolic risk profile and lower use of cardioprotective medications. MACE3 occurred in 9.1% of women and 13.5% of men, corresponding to 2.82 versus 4.40 events/100 participant‐years (adjusted hazard ratio 0.80, 95% CI: 0.70‐0.93, P =.003). There was no difference in MACE3 with EQW compared with placebo, or evidence of heterogeneity of treatment effect by sex. Conclusions: This analysis of a large population of individuals with T2D, with or without established CVD, identified between‐sex differences in clinical characteristics and care. Despite having worse management of CV risk factors, women had significantly lower rates of important CV events not attributable to the effects of study treatment. [ABSTRACT FROM AUTHOR]

Aim: To demonstrate the gain in predictive performance when cardiovascular disease (CVD) risk prediction tools (RPTs) incorporate repeated rather than only single measurements of risk factors. Materials and methods: We used data from the Exenatide Study of Cardiovascular Event Lowering (EXSCEL) trial to compare the quality of predictions of future major adverse cardiovascular events (MACE) with the Cox proportional hazards model (using single values of risk factors) compared to the Bayesian joint model (using repeated measures of risk factors). The risk of MACE was calculated in patients with type 2 diabetes with and without established CVD. We assessed the predictive ability of the following cardiovascular risk factors: glycated haemoglobin, high‐density lipoprotein cholesterol (HDL‐C), non‐HDL‐C, triglycerides, estimated glomerular filtration rate, low‐density lipoprotein cholesterol (LDL‐C), total cholesterol, and systolic blood pressure (SBP) using the time‐dependent area under the receiver‐operating characteristic curve (aROC) for discrimination and the time‐dependent Brier score for calibration. Results: In participants without history of CVD, the aROC of SBP increased from 0.62 to 0.69 when repeated rather than only single measurements of SBP were incorporated into the predictive model. Similarly, the aROC increased from 0.67 to 0.80 when repeated rather than only single measurements of both SBP and LDL‐C were incorporated into the predictive model. For all other investigated cardiovascular risk factors, the measures of discrimination and calibration both improved when using the joint model as compared to the Cox proportional hazards model. The improvement was evident in participants with and without history of CVD but was more pronounced in the latter group. Conclusions: The analysis demonstrates that the joint modelling approach, considering trajectories of cardiovascular risk factors, provides superior predictive performance compared to standard RPTs that use only a single timepoint. [ABSTRACT FROM AUTHOR]

Background: Among individuals with atherosclerotic cardiovascular disease (ASCVD), type 2 diabetes mellitus (T2DM) is common and confers increased risk for morbidity and mortality. Differentiating risk is key to optimize efficiency of treatment selection. Our objective was to develop and validate a model to predict risk of major adverse cardiovascular events (MACE) comprising the first event of cardiovascular death, myocardial infarction (MI), or stroke for individuals with both T2DM and ASCVD. Methods: Using data from the Trial Evaluating Cardiovascular Outcomes with Sitagliptin (TECOS), we used Cox proportional hazards models to predict MACE among participants with T2DM and ASCVD. All baseline covariates collected in the trial were considered for inclusion, although some were excluded immediately because of large missingness or collinearity. A full model was developed using stepwise selection in each of 25 imputed datasets, and comprised candidate variables selected in 20 of the 25 datasets. A parsimonious model with a maximum of 10 degrees of freedom was created using Cox models with least absolute shrinkage and selection operator (LASSO), where the adjusted R-square was used as criterion for selection. The model was then externally validated among a cohort of participants with similar criteria in the ACCORD (Action to Control Cardiovascular Risk in Diabetes) trial. Discrimination of both models was assessed using Harrell's C-index and model calibration by the Greenwood-Nam-D'Agostino statistic based on 4-year event rates. Results: Overall, 1491 (10.2%) of 14,671 participants in TECOS and 130 (9.3%) in the ACCORD validation cohort (n = 1404) had MACE over 3 years' median follow-up. The final model included 9 characteristics (prior stroke, age, chronic kidney disease, prior MI, sex, heart failure, insulin use, atrial fibrillation, and microvascular complications). The model had moderate discrimination in both the internal and external validation samples (C-index = 0.65 and 0.61, respectively). The model was well calibrated across the risk spectrum—from a cumulative MACE rate of 6% at 4 years in the lowest risk quintile to 26% in the highest risk quintile. Conclusion: Among patients with T2DM and prevalent ASCVD, this 9-factor risk model can quantify the risk of future ASCVD complications and inform decision making for treatments and intensity. [ABSTRACT FROM AUTHOR]

Background: To determine whether there were racial differences in short-term cardiometabolic responses to once-weekly exenatide (EQW) in the Exenatide Study of Cardiovascular Event Lowering (EXSCEL). Methods: EXSCEL enrolled 14,752 patients with type 2 diabetes (hemoglobin A1c (HbA1c) 6.5–10.0% [48–86 mmol/mol]) with or without cardiovascular disease who were randomized double-blind to EQW or placebo. Background glucose-lowering/other cardiovascular therapies were unaltered for 6 months post-randomization unless clinically essential, facilitating comparison of EQW-associated effects in 14,665 evaluable participants self-identifying as White (n = 11,113), Asian (n = 1444), Black (n = 870), or Other Race (n = 1,238. Placebo-adjusted 6 month absolute changes in cardiometabolic variables were assessed using generalized linear models. Results: Mean 6-month placebo-adjusted HbA1c reductions were similar in the four groups (range 0.54–0.67% [5.9 to 7.3 mmol/mol], P = 0.11 for race×treatment interaction), with no significant difference in Asians (reference) versus other groups after covariate adjustment (all P ≥ 0.10). Six-month placebo-adjusted mean changes in systolic (−1.8 to 0.0 mmHg) and diastolic (0.2 to 1.2 mmHg) blood pressure, serum LDL (− 0.06 to 0.02 mmol/L) and HDL (0.00 to 0.01 mmol/L) cholesterol, and serum triglycerides (−0.1 to 0.0 mmol/L) were similar in the racial groups (P ≥ 0.19 for race×treatment interaction and all P ≥ 0.13 for comparisons of Asians with other races). Resting pulse rate increased more in Asians (4 beats/min) than in other groups (≤ 3 beats/min, P = 0.016 for race×treatment interaction and all P ≤ 0.050 for comparisons of Asians with other races). Conclusions: Short-term cardiometabolic responses to EQW were similar in the main racial groups in EXSCEL, apart from a greater pulse rate increase in Asians. Trial registration: https://clinicaltrials.gov NCT01144338. [ABSTRACT FROM AUTHOR]

Objective: Phenotypic heterogeneity among patients with type 2 diabetes mellitus (T2DM) and atherosclerotic cardiovascular disease (ASCVD) is ill defined. We used cluster analysis machine-learning algorithms to identify phenotypes among trial participants with T2DM and ASCVD.Research Design and Methods: We used data from the Trial Evaluating Cardiovascular Outcomes with Sitagliptin (TECOS) study (n = 14,671), a cardiovascular outcome safety trial comparing sitagliptin with placebo in patients with T2DM and ASCVD (median follow-up 3.0 years). Cluster analysis using 40 baseline variables was conducted, with associations between clusters and the primary composite outcome (cardiovascular death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for unstable angina) assessed by Cox proportional hazards models. We replicated the results using the Exenatide Study of Cardiovascular Event Lowering (EXSCEL) trial.Results: Four distinct phenotypes were identified: cluster I included Caucasian men with a high prevalence of coronary artery disease; cluster II included Asian patients with a low BMI; cluster III included women with noncoronary ASCVD disease; and cluster IV included patients with heart failure and kidney dysfunction. The primary outcome occurred, respectively, in 11.6%, 8.6%, 10.3%, and 16.8% of patients in clusters I to IV. The crude difference in cardiovascular risk for the highest versus lowest risk cluster (cluster IV vs. II) was statistically significant (hazard ratio 2.74 [95% CI 2.29-3.29]). Similar phenotypes and outcomes were identified in EXSCEL.Conclusions: In patients with T2DM and ASCVD, cluster analysis identified four clinically distinct groups. Further cardiovascular phenotyping is warranted to inform patient care and optimize clinical trial designs. [ABSTRACT FROM AUTHOR]

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Aims: Although models exist to predict amputation among people with type 2 diabetes with foot ulceration or infection, we aimed to develop a prediction model for a broader range of major adverse limb events (MALE)—including gangrene, revascularization and amputation—among individuals with type 2 diabetes. Methods: In a post‐hoc analysis of data from the Exenatide Study of Cardiovascular Event Lowering (EXSCEL) trial, we compared participants who experienced MALE with those who did not. A multivariable model was constructed and translated into a risk score. Results: Among the 14,752 participants with type 2 diabetes in EXSCEL, 3.6% experienced MALE. Characteristics associated with increased risk of MALE were peripheral artery disease (PAD) (HRadj 4.83, 95% CI: 3.94–5.92), prior foot ulcer (HRadj 2.16, 95% CI: 1.63–2.87), prior amputation (HRadj 2.00, 95% CI: 1.53–2.64), current smoking (HRadj 2.00, 95% CI: 1.54–2.61), insulin use (HRadj 1.86, 95% CI: 1.52–2.27), coronary artery disease (HRadj 1.67, 95% CI: 1.38–2.03) and male sex (HRadj 1.64, 95% CI: 1.31–2.06). Cerebrovascular disease, former smoking, age, glycated haemoglobin, race and neuropathy were also associated significantly with MALE after adjustment. A risk score ranging from 6 to 96 points was constructed, with a C‐statistic of 0.822 (95% CI: 0.803–0.841). Conclusions: The majority of MALE occurred among participants with PAD, but participants without a history of PAD also experienced MALE. A risk score with good performance was generated. Although it requires validation in an external dataset, this risk score may be valuable in identifying patients requiring more intensive care and closer follow‐up. [ABSTRACT FROM AUTHOR]

Objective: Insulin resistance (IR) may mediate heart failure (HF) development. We examined whether IR in people with newly diagnosed type 2 diabetes (T2D) increased their risk of a composite outcome of HF or death or of HF alone.Research Design and Methods: Insulin resistance (HOMA2-IR) values for UKPDS participants were derived from paired fasting plasma glucose (FPG) and insulin measures. Kaplan-Meier survival curves and multivariable survival models were used to evaluate associations between HOMA2-IR and HF/death or HF alone. We adjusted for potential confounders by including variables with univariate associations (P < 0.1) and by requiring a multivariable P < 0.05.Results: Of 5,102 UKPDS participants with newly diagnosed T2D, 4,344 had HOMA2-IR measurements. At enrollment, mean (SD) age was 52.5 (8.7) years, with HbA1c 7.2% (1.8%), and BMI 28.8 (5.5) kg/m2, and median (interquartile range) HOMA2-IR was 1.6 (1.1-2.2). HF/death occurred in 1,974 (45.4%) participants (235 first HF events, 1,739 deaths) over a median follow-up of 16.4 years. Multivariable independent associations with HF/death were older age and higher BMI, HOMA2-IR, FPG, waist-to-hip ratio, systolic blood pressure, LDL cholesterol, and heart rate as well as sex, race, smoking status, prior atrial fibrillation, and prior microalbuminuria. A doubling of HOMA2-IR was associated with a 5% greater risk of HF/death (relative risk [RR] 1.05 [95% CI 1.01-1.12], P = 0.0029) and a 14% greater risk of HF (RR 1.14, [95% CI 1.02-1.27], P = 0.017).Conclusions: Patients with newly diagnosed T2D and insulin resistance were more likely to develop HF or die than those more sensitive to insulin. [ABSTRACT FROM AUTHOR]

Aim: To provide evidence on the cardiovascular and renal safety of metformin in chronic kidney disease (CKD) stages 3 to 4. Materials and Methods: This post hoc analysis compared participants with an estimated glomerular filtration rate (eGFR) of 15 to 59 mL/min/1.73m2 in the Exenatide Study of Cardiovascular Event Lowering (EXSCEL) and the Saxagliptin and Cardiovascular Outcomes in Patients With Type 2 Diabetes Mellitus (SAVOR‐TIMI 53) trials taking metformin, with those not exposed to metformin during these trials, using a propensity‐matching approach. Adjusted Cox proportional hazards models were used to assess risk of major adverse cardiovascular events (MACE) and all‐cause mortality (ACM). Metformin effect on eGFR slope was calculated using a mixed‐model repeated measures analysis, and the number of lactic acidosis events was tabulated. Results: No strong trend for lower metformin doses with lower eGFR values was observed in either the EXSCEL or SAVOR‐TIMI 53 trials. In the 1745 metformin‐using participants matched to non‐metformin users, metformin had neutral effects on MACE (hazard ratio [HR] 0.91, 95% confidence interval [CI] 0.76–1.08; P = 0.28) and ACM (HR 0.86, 95% CI 0.70–1.07; P = 0.18), with no interaction by CKD stage, or with use of exenatide or saxagliptin. An improvement in eGFR slope was observed with metformin in the CKD stage 3B cohort in SAVOR‐TIMI 53, but not in other groups. Conclusions: This analysis of participants with CKD stages 3 to 4 from two cardiovascular outcomes trials supports the cardiorenal safety of metformin, but does not suggest a consistent benefit on MACE, ACM, or eGFR slope across this population. [ABSTRACT FROM AUTHOR]

The effects of glucagon‐like peptide‐1 receptor agonists (GLP‐1RAs) on renal outcomes in patients with type 2 diabetes at high cardiovascular risk are modest or neutral. However, GLP‐1RAs may confer clinical benefits in those at high risk of progressive renal function loss. We examined the effects of once‐weekly exenatide (EQW) on estimated glomerular filtration rate (eGFR) slope and urinary albumin:creatinine ratio (UACR) as a function of baseline UACR in 3503 EXSCEL participants (23.7%) with eGFR data available and 2828 participants (19.2%) with UACR change data available. EQW improved eGFR slope assessed via mixed model repeated measures, compared with placebo, in participants with baseline UACR >100 mg/g (0.79 mL/min/1.73 m2/year [95% confidence interval {CI} 0.24–1.34]) and UACR >200 mg/g (1.32 mL/min/1.73 m2/year [95% CI 0.57–2.06]), but not at lower UACR thresholds. EQW reduced UACR, compared with placebo, assessed via analysis of covariance, consistently across subgroups with baseline UACR >30 mg/g (28.2% reduction), baseline UACR >100 mg (22.5% reduction) and baseline UACR >200 mg (34.5% reduction). This post hoc EXSCEL analysis suggests that EQW reduces UACR, with improvement in eGFR slope specifically in participants with elevated baseline UACR. [ABSTRACT FROM AUTHOR]

Aims: Whether glycaemic control is associated with cardiovascular outcomes in patients with type 2 diabetes (T2D) is unclear. Consequently, we assessed the relationship between glycated haemoglobin (HbA1c) and cardiovascular outcomes in a placebo‐controlled randomized trial which demonstrated no cardiovascular effect of sitagliptin in patients with T2D and atherosclerotic vascular disease. Methods and results: Secondary analysis of 14 656 TECOS participants with time to event analyses using multivariable Cox proportional hazard models. During a median 3.0 (interquartile range 2.3–3.8) year follow‐up, 456 (3.1% of 14 656) patients had first hospitalization for heart failure (HF), 1084 (11.5%) died, 1406 (9.6%) died or were hospitalized for HF, and 1689 (11.5%) had a non‐HF cardiovascular event (cardiovascular death, non‐fatal stroke, non‐fatal myocardial infarction, or hospitalization for unstable angina). Associations between baseline or time‐varying HbA1c and cardiovascular outcomes were U‐shaped, with the lowest risk when HbA1c was around 7%. Each one‐unit increase in the time‐varying HbA1c above 7% was associated with an adjusted hazard ratio (HR) of 1.21 [95% confidence interval (CI) 1.11–1.33] for first HF hospitalization, 1.11 (1.03–1.21) for all‐cause death, 1.18 (1.09–1.26) for death or HF hospitalization, and 1.10 (1.02–1.17) for non‐HF cardiovascular events. Each one‐unit decrease in the time‐varying HbA1c below 7% was associated with an adjusted HR of 1.35 (95% CI 1.12–1.64) for first HF hospitalization, 1.37 (1.16–1.61) for death, 1.42 (1.23–1.64) for death or HF hospitalization, and 1.22 (1.06–1.41) for non‐HF cardiovascular events. Conclusion: Glycated haemogobin exhibits a U‐shaped association with cardiovascular outcomes in patients with T2D and atherosclerotic vascular disease, with nadir around 7%. Clinical Trial Registration: ClinicalTrials.gov Identifier: NCT00790205. [ABSTRACT FROM AUTHOR]

Objective: To estimate using the UK Prospective Diabetes Study Outcomes Model Version 2 (UKPDS-OM2) the impact of delaying type 2 diabetes onset on costs and quality-adjusted life expectancy using trial participants who developed diabetes in the NAVIGATOR (Nateglinide And Valsartan in Impaired Glucose Tolerance Outcomes Research) study.Research Design and Methods: We simulated the impact of delaying diabetes onset by 1-9 years, utilizing data from the 3,058 of 9,306 NAVIGATOR trial participants who developed type 2 diabetes. Costs and utility weights associated with diabetes and diabetes-related complications were obtained for the U.S. and U.K. settings, with costs expressed in 2017 values. We estimated discounted lifetime costs and quality-adjusted life years (QALYs) with 95% CIs.Results: Gains in QALYs increased from 0.02 (U.S. setting, 95% CI 0.01, 0.03) to 0.15 (U.S. setting, 95% CI 0.10, 0.21) as the imposed time to diabetes onset was increased from 1 to 9 years, respectively. Savings in complication costs increased from $1,388 (95% CI $1,092, $1,669) for a 1-year delay to $8,437 (95% CI $6,611, $10,197) for a delay of 9 years. Interventions costing up to $567-$2,680 and £201-£947 per year would be cost-effective at $100,000 per QALY and £20,000 per QALY thresholds in the U.S. and U.K., respectively, as the modeled delay in diabetes onset was increased from 1 to 9 years.Conclusions: Simulating a hypothetical diabetes-delaying intervention provides guidance concerning the maximum cost and minimum delay in diabetes onset needed to be cost-effective. These results can inform the ongoing debate about diabetes prevention strategies and the design of future intervention studies. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the association between metformin use and anemia risk in type 2 diabetes, and the time-course for this, in a randomized controlled trial (RCT) and real-world population data.Research Design and Methods: Anemia was defined as a hemoglobin measure of <11 g/dL. In the RCTs A Diabetes Outcome Progression Trial (ADOPT; n = 3,967) and UK Prospective Diabetes Study (UKPDS; n = 1,473), logistic regression was used to model anemia risk and nonlinear mixed models for change in hematological parameters. In the observational Genetics of Diabetes Audit and Research in Tayside Scotland (GoDARTS) population (n = 3,485), discrete-time failure analysis was used to model the effect of cumulative metformin exposure on anemia risk.Results: In ADOPT, compared with sulfonylureas, the odds ratio (OR) (95% CI) for anemia was 1.93 (1.10, 3.38) for metformin and 4.18 (2.50, 7.00) for thiazolidinediones. In UKPDS, compared with diet, the OR (95% CI) was 3.40 (1.98, 5.83) for metformin, 0.96 (0.57, 1.62) for sulfonylureas, and 1.08 (0.62, 1.87) for insulin. In ADOPT, hemoglobin and hematocrit dropped after metformin initiation by 6 months, with no further decrease after 3 years. In UKPDS, hemoglobin fell by 3 years in the metformin group compared with other treatments. At years 6 and 9, hemoglobin was reduced in all treatment groups, with no greater difference seen in the metformin group. In GoDARTS, each 1 g/day of metformin use was associated with a 2% higher annual risk of anemia.Conclusions: Metformin use is associated with early risk of anemia in individuals with type 2 diabetes, a finding consistent across two RCTs and replicated in one real-world study. The mechanism for this early fall in hemoglobin is uncertain, but given the time course, is unlikely to be due to vitamin B12 deficiency alone. [ABSTRACT FROM AUTHOR]

Dipeptidyl peptidase-4 (DPP4) modulates inflammation by enzymatic cleavage of immunoregulatory peptides and through its soluble form (sDPP4) that directly engages immune cells. Here we examine whether reduction of DPP4 activity alters inflammation. Prolonged DPP4 inhibition increases plasma levels of sDPP4, and induces sDPP4 expression in lymphocyte-enriched organs in mice. Bone marrow transplantation experiments identify hematopoietic cells as the predominant source of plasma sDPP4 following catalytic DPP4 inhibition. Surprisingly, systemic DPP4 inhibition increases plasma levels of inflammatory markers in regular chow-fed but not in high fat-fed mice. Plasma levels of sDPP4 and biomarkers of inflammation are lower in metformin-treated subjects with type 2 diabetes (T2D) and cardiovascular disease, yet exhibit considerable inter-individual variation. Sitagliptin therapy for 12 months reduces DPP4 activity yet does not increase markers of inflammation or levels of sDPP4. Collectively our findings dissociate levels of DPP4 enzyme activity, sDPP4 and biomarkers of inflammation in mice and humans. DPP4 inhibitors are used for the treatment of diabetes, but the impact of DPP4 activity and soluble DPP4 on development of diabetes-associated inflammation remains uncertain. Here the authors study whether DPP4 inhibition controls sDPP4 and inflammatory biomarkers, and demonstrate that DPP4 inhibition is dissociated from changes in inflammation in mice and humans. [ABSTRACT FROM AUTHOR]

Aim: To perform post‐hoc analyses of the EMPA‐REG OUTCOME trial examining the degree to which empagliflozin‐induced changes in conventional cardiovascular (CV) risk factors might explain the observed CV benefits. Materials and methods: We estimated 3‐year EMPA‐REG OUTCOME CV event rates using a type 2 diabetes‐specific clinical outcomes simulation model applied to annual patient‐level data. Variables included were atrial fibrillation, smoking, albuminuria, HDL cholesterol, LDL cholesterol, systolic blood pressure, glycated haemoglobin, heart rate, white cell count, haemoglobin, estimated glomerular filtration rate, and histories of ischaemic heart disease, heart failure, amputation, blindness, renal failure, stroke, myocardial infarction or diabetic ulcer. Multiple simulations were performed for each participant to minimize uncertainty and optimize confidence interval precision around CV risk point estimates. Observed and simulated cardiovascular relative risk reductions were compared. Results: Model‐predicted relative risk reductions were smaller than those observed in the trial, with empagliflozin‐associated changes in conventional CV risk factor values appearing to explain only 12% of the observed relative risk reduction for all‐cause death (4% of 32%), 7% for CV death (3% of 39%) and 15% for heart failure (4% of 29%). Conclusions: Empagliflozin‐associated changes in conventional CV risk factors in EMPA‐REG OUTCOME appear to explain only a small proportion of the CV and all‐cause death reductions observed. Alternative risk‐reduction mechanisms need to be explored to determine if the observed CV risk changes can be explained by other factors, or possibly by a direct drug‐specific effect. [ABSTRACT FROM AUTHOR]

Aim: To assess whether the previously developed multivariable risk prediction framework (PRE score) could predict the renal effects observed in the EXSCEL cardiovascular outcomes trial using short‐term changes in cardio‐renal risk markers. Materials and Methods: Changes from baseline to 6 months in HbA1c, systolic blood pressure (SBP), body mass index (BMI), haemoglobin, total cholesterol, and new micro‐ or macroalbuminuria were evaluated. The renal outcomes were defined as a composite of a sustained 30% or 40% decline in estimated glomerular filtration rate (eGFR) or end‐stage renal disease (ESRD). Relationships between risk markers and long‐term renal outcomes were determined in patients with type 2 diabetes from the ALTITUDE study using multivariable Cox regression analysis, and then applied to short‐term changes in risk markers observed in EXSCEL to predict the exenatide‐induced impact on renal outcomes. Results: Compared with placebo, mean HbA1c, BMI, SBP and total cholesterol were lower at 6 months with exenatide, as was the incidence of new microalbuminuria. The PRE score predicted a relative risk reduction for the 30% eGFR decline + ESRD endpoint of 11.3% (HR 0.89; 95% CI 0.83–0.94), compared with 12.7% (HR 0.87; 0.77–0.99) observed risk reduction. For the 40% eGFR decline + ESRD endpoint, the predicted and observed risk reductions were 11.0% (HR 0.89; 0.82–0.97) and 13.7% (HR 0.86, 0.72–1.04), respectively. Conclusions: Integrating short‐term risk marker changes into a multivariable risk score predicted the magnitude of renal risk reduction observed in EXSCEL. [ABSTRACT FROM AUTHOR]

Introduction: To date, research is lacking on the development of a cardiovascular disease (CVD) risk assessment tool for people with diabetes mellitus, in general, and for Chinese patients with diabetes in particular. We have explored CVD risk assessment tools for Chinese patients with diabetes. Here, we report our investigation of cardiovascular risk assessment using the improved Framingham Risk Score (I-FRS) in patients with type 2 diabetes mellitus (T2DM) in Beijing communities. Methods: A total of 3232 patients with T2DM attending Beijing community health centers were enrolled in this study. FRS were used to predict CVD risk in all patients at baseline using the following risk scores for glycated hemoglobin (HbA1c) categories: 0 = HbA1c ≤ 7.0%; 1 = 7.0% < HbA1c ≤ 7.9%; 2 = 8.0% < HbA1c ≤ 8.9%; and 3 = HbA1c > 9.0%. The I-FRS was use to stratify all patients into low (I-FRS < 10%), medium (I-FRS 10–20%), and high (I-FRS > 20%) FRS strata. All treatments administered in the Beijing Communities Diabetes Study were in accordance with national guidelines for T2DM in China, and patients regularly attended clinical consultations with professors in endocrinology, who were experts in their respective speciality, from top tier hospitals. After 10 years, patients were followed-up to assess the long-term effects of the multifactorial interventions. Statistical analysis was performed using SAS® software (SAS Institute, Inc., Cary, NC, USA). Results: The receiver operating characteristic curve of the I-FRS showed significant prediction accuracy for the actual incidence of CVD events. At baseline, subjects in the high FRS stratum for diabetes were more prone to be elderly and to have a longer duration of T2DM, higher systolic blood pressure, and higher lipid profiles. Subjects in the medium and high FRS strata had a higher incidence of CVD events than those in the no-complications group (DM group with no blood pressure issues) (P < 0.001). The 10-year hazard ratios for CVD events in diabetic patients with I-FRS score > 20% was 12.5-fold higher than that of patients with I-FRS score < 10%. Multifactorial intervention significantly reduced the I-FRS of the three FRS strata in patients with T2DM. The post-intervention I-FRS for the hypertension and CVD groups of patients were significantly lower than the respective baseline I-FRS. Cox multivariate analyses revealed that patients in the medium and high FRS strata had higher incidences of endpoint events than those in the low FRS stratum. Conclusions: The I-FRS plays an important role in predicting CVD in patients with T2DM. Multifactorial interventions for CVD risk factors over 10-year follow-up lowered the estimated 10-year risk for CVD events in persons with diabetes. We suggest the use of the I-FRS score to stratify a patient's risk of CVD when analyzing the efficacy of diabetes management. Aggressive risk reduction should be focused on those individuals with a high I-FRS score. Trial Registration: ChiCTR-TRC-13003978 and ChiCTR-OOC-15006090. [ABSTRACT FROM AUTHOR]

Objective: We sought to confirm a bidirectional association between severe hypoglycemic events (SHEs) and cardiovascular (CV) event risk and to characterize individuals at dual risk.Research Design and Methods: In a post hoc analysis of 14,752 Exenatide Study of Cardiovascular Event Lowering (EXSCEL) participants, we examined time-dependent associations between SHEs and subsequent major adverse cardiac events (CV death, nonfatal myocardial infarction [MI] or stroke), fatal/nonfatal MI, fatal/nonfatal stroke, hospitalization for acute coronary syndrome (hACS), hospitalization for heart failure (hHF), and all-cause mortality (ACM), as well as time-dependent associations between nonfatal CV events and subsequent SHEs.Results: SHEs were uncommon and not associated with once-weekly exenatide therapy (hazard ratio 1.13 [95% CI 0.94-1.36], P = 0.179). In fully adjusted models, SHEs were associated with an increased risk of subsequent ACM (1.83 [1.38-2.42], P < 0.001), CV death (1.60 [1.11-2.30], P = 0.012), and hHF (2.09 [1.37-3.17], P = 0.001), while nonfatal MI (2.02 [1.35-3.01], P = 0.001), nonfatal stroke (2.30 [1.25-4.23], P = 0.007), hACS (2.00 [1.39-2.90], P < 0.001), and hHF (3.24 [1.98-5.30], P < 0.001) were all associated with a subsequent increased risk of SHEs. The elevated bidirectional time-dependent hazards linking SHEs and a composite of all CV events were approximately constant over time, with those individuals at dual risk showing higher comorbidity scores compared with those without.Conclusions: These findings, showing greater risk of SHEs after CV events as well as greater risk of CV events after SHEs, validate a bidirectional relationship between CV events and SHEs in patients with high comorbidity scores. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the impact of once-weekly exenatide (EQW) on microvascular and cardiovascular (CV) outcomes by baseline renal function in the Exenatide Study of Cardiovascular Event Lowering (EXSCEL).Research Design and Methods: Least squares mean difference (LSMD) in estimated glomerular filtration rate (eGFR) from baseline between the EQW and placebo groups was calculated for 13,844 participants. Cox regression models were used to estimate effects by group on incident macroalbuminuria, retinopathy, and major adverse CV events (MACE). Interval-censored time-to-event models estimated effects on renal composite 1 (40% eGFR decline, renal replacement, or renal death) and renal composite 2 (composite 1 variables plus macroalbuminuria).Results: EQW did not change eGFR significantly (LSMD 0.21 mL/min/1.73 m2 [95% CI -0.27 to 0.70]). Macroalbuminuria occurred in 2.2% of patients in the EQW group and in 2.5% of those in the placebo group (hazard ratio [HR] 0.87 [95% CI 0.70-1.07]). Neither renal composite was reduced with EQW in unadjusted analyses, but renal composite 2 was reduced after adjustment (HR 0.85 [95% CI 0.74-0.98]). Retinopathy rates did not differ by treatment group or in the HbA1c-lowering or prior retinopathy subgroups. CV outcomes in those with eGFR <60 mL/min/1.73 m2 did not differ by group. Those with eGFR ≥60 mL/min/1.73 m2 had nominal risk reductions for MACE, all-cause mortality, and CV death, but interactions by renal function group were significant for only stroke (HR 0.74 [95% CI 0.58-0.93]; P for interaction = 0.035) and CV death (HR 1.08 [95% CI 0.85-1.38]; P for interaction = 0.031).Conclusions: EQW had no impact on unadjusted retinopathy or renal outcomes. CV risk was modestly reduced only in those with eGFR ≥60 mL/min/1.73 m2 in analyses unadjusted for multiplicity. [ABSTRACT FROM AUTHOR]

Objective: To compare medical resource use, costs, and health utilities for 14,752 patients with type 2 diabetes who were randomized to once-weekly exenatide (EQW) or placebo in addition to usual diabetes care in the Exenatide Study of Cardiovascular Event Lowering (EXSCEL).Research Design and Methods: Medical resource use data and responses to the EuroQol 5-Dimension (EQ-5D) instrument were collected at baseline and throughout the trial. Medical resources and medications were assigned values by using U.S. Medicare payments and wholesale acquisition costs, respectively. Secondary analyses used English costs.Results: Patients were followed for an average of 3.3 years, during which time those randomized to EQW experienced 0.41 fewer inpatient days (7.05 vs. 7.46 days; relative rate ratio 0.91; P = 0.05). Rates of outpatient medical visits were similar, as were total inpatient and outpatient costs. Mean costs for nonstudy diabetes medications over the study period were ∼$1,600 lower with EQW than with placebo (P = 0.01). Total within-study costs, excluding study medication, were lower in the EQW arm than in the placebo arm ($28,907 vs. $30,914; P ≤ 0.01). When including the estimated cost of EQW, total mean costs were significantly higher in the EQW group than in the placebo group ($42,697 vs. $30,914; P < 0.01). With English costs applied, mean total costs, including exenatide costs, were £1,670 higher in the EQW group than the placebo group (£10,874 vs. £9,204; P < 0.01). There were no significant differences in EQ-5D health utilities between arms over time.Conclusions: Medical costs were lower in the EQW arm than the placebo arm, but total costs were significantly higher once the cost of branded exenatide was incorporated. [ABSTRACT FROM AUTHOR]

Aims: Latent autoimmune diabetes in adults (LADA) is diagnosed in up to 12% of adults with clinically diagnosed type 2 diabetes (T2D). LADA tends to have healthier cardiovascular (CV) risk profiles than T2D, but it remains uncertain whether the risk of CV events differs between the two. We examined the risk of CV events in patients enrolled in the United Kingdom Prospective Diabetes Study (UKPDS) according to LADA status. Materials and methods: Diabetes autoantibodies (AAb) were measured in 5062 UKPDS participants. The incidence of major adverse CV events (MACE), defined as CV death, non‐fatal myocardial infarction or non‐fatal stroke, was compared in those with LADA (≥1 AAb test positive) and those without LADA (AAb negative). Results: There were 567 participants (11.2%) with LADA. Compared with participants with T2D, they were younger, with higher mean HbA1c and HDL‐cholesterol values, and with lower body mass index and total cholesterol and systolic blood pressure values (all P < 0.01). After a median (25th, 75th percentile) 17.3 (12.6–20.7) years of follow‐up, MACE occurred in 157 (17.4 per 1000 person‐years) participants with LADA and in 1544 (23.5 per 1000 person‐years) participants with T2D (HR, 0.73; 95% confidence interval [CI], 0.62–0.86; P < 0.001). However, after adjustment for confounders, this difference was no longer significant (HRadj, 0.90; 95% CI, 0.76–1.07; P = 0.22). Conclusions: In adults thought to have newly diagnosed T2D, the long‐term risk of MACE was lower in those with LADA. However, this did not differ after adjustment for traditional CV risk factors, suggesting that measurement of AAb in addition to traditional CV risk factors will not aid in stratification of CV risk in clinically diagnosed T2D. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

The antiplatelet efficacy of aspirin (ASA) is reduced in type 2 diabetes (T2D). As the best ex vivo method of measuring ASA efficacy remains uncertain, we compared nine platelet function tests to assess responsiveness to three ASA dosing regimens in 24 T2D patients randomized in a three-treatment crossover design to ASA 100 mg/day, 200 mg/day, or 100 mg twice daily for 2-week treatment periods. Platelet function tests compared were as follows: light transmission aggregometry (LTA)–0.5 mg/mL of arachidonic acid (AA) and 10 µM adenosine diphosphate (ADP); multiplate whole blood aggregometry (WBA)–0.5 mM AA and 6.5 µM ADP; platelet function analyzer (PFA)-100™–collagen and ADP (CADP) and collagen and epinephrine (CEPI); VerifyNow™–ASA; and urinary 11-dehydro-thromboxane B2 (TxB2) and serum TxB2. All cyclo-oxygenase (COX-1)-dependent tests and some COX-1-independent tests (PFA-CEPI, LTA-ADP) demonstrated significant reductions in platelet reactivity with all ASA doses. Two COX-1-independent tests (WBA-ADP and PFA-CADP) showed no overall reduction in platelet reactivity. Overall classifications for detecting all ASA doses, compared to baseline, were as follows: very good–LTA-AA (k = 0.95) and VerifyNow™-ASA (k = 0.85); good–serum TxB2 (k = 0.79); moderate–LTA-ADP (k = 0.59), PFA-100™-CEPI (k = 0.56), urinary TxB2 (k = 0.55), WBA-AA (k = 0.47); and poor–PFA-100™-CADP (k = –0.02) and WBA-ADP (k = –0.07). No significant kappa statistic differences were seen for each test for each ASA dose. Correlations for each test with serum TxB2 measurements were as follows: very good–VerifyNow™-ASA (k = 0.81, R2 = 0.56) and LTA-AA (k = 0.85, R2 = 0.65); good–PFA-100TM-CEPI (k = 0.62, R2 = 0.30); moderate–urinary TxB2 (k = 0.57, R2 = 0.51) and LTA-ADP (k = 0.47, R2 = 0.56); fair–WBA-AA (k = 0.31, R2 = 0.31); and poor–PFA-100™-CADP (k = 0.04, R2 = 0.003) and WBA-ADP (k = –0.04, R2 = 0.0005). The platelet function tests we assessed were not equally effective in measuring the antiplatelet effect of ASA and correlated poorly amongst themselves, but COX-1-dependent tests performed better than non-COX-1-dependent tests. [ABSTRACT FROM AUTHOR]

Objective: The choice of therapy for type 2 diabetes after metformin is guided by overall estimates of glycemic response and side effects seen in large cohorts. A stratified approach to therapy would aim to improve on this by identifying subgroups of patients whose glycemic response or risk of side effects differs markedly. We assessed whether simple clinical characteristics could identify patients with differing glycemic response and side effects with sulfonylureas and thiazolidinediones.Research Design and Methods: We studied 22,379 patients starting sulfonylurea or thiazolidinedione therapy in the U.K. Clinical Practice Research Datalink (CPRD) to identify features associated with increased 1-year HbA1c fall with one therapy class and reduced fall with the second. We then assessed whether prespecified patient subgroups defined by the differential clinical factors showed differing 5-year glycemic response and side effects with sulfonylureas and thiazolidinediones using individual randomized trial data from ADOPT (A Diabetes Outcome Progression Trial) (first-line therapy, n = 2,725) and RECORD (Rosiglitazone Evaluated for Cardiovascular Outcomes and Regulation of Glycemia in Diabetes) (second-line therapy, n = 2,222). Further replication was conducted using routine clinical data from GoDARTS (Genetics of Diabetes Audit and Research in Tayside Scotland) (n = 1,977).Results: In CPRD, male sex and lower BMI were associated with greater glycemic response with sulfonylureas and a lesser response with thiazolidinediones (both P < 0.001). In ADOPT and RECORD, nonobese males had a greater overall HbA1c reduction with sulfonylureas than with thiazolidinediones (P < 0.001); in contrast, obese females had a greater HbA1c reduction with thiazolidinediones than with sulfonylureas (P < 0.001). Weight gain and edema risk with thiazolidinediones were greatest in obese females; however, hypoglycemia risk with sulfonylureas was similar across all subgroups.Conclusions: Patient subgroups defined by sex and BMI have different patterns of benefits and risks on thiazolidinedione and sulfonylurea therapy. Subgroup-specific estimates can inform discussion about the choice of therapy after metformin for an individual patient. Our approach using routine and shared trial data provides a framework for future stratification research in type 2 diabetes. [ABSTRACT FROM AUTHOR]

Aim: Pooled efficacy studies suggest that glycaemic responses to dipeptidyl‐peptidase 4 inhibitors in type 2 diabetes are greatest in Asians, who may also respond better to alpha‐glucosidase inhibitors. We assessed the glycaemic impact of sitagliptin by race in the Trial Evaluating Cardiovascular Outcomes with Sitagliptin (TECOS), and whether this was enhanced in Asians with concomitant acarbose therapy. Materials and methods: TECOS enrolled 14 671 patients with type 2 diabetes, cardiovascular disease and HbA1c of 48–64 mmol/mol (6.5%‐8.0%), and randomized them, double‐blind, to sitagliptin or placebo. There were 3265 patients (22.3%) from Asian countries. Background glucose‐lowering therapies were unaltered for the first 4 months post randomization unless clinically essential, facilitating comparison of sitagliptin‐associated effects in self‐identified East Asian, Other (South) Asian, White Caucasian, Hispanic, Black and Indigenous groups. Results: Median baseline HbA1c by race was 54 to 57 mmol/mol (7.1%‐7.4%). Mean 4‐month reduction in placebo‐adjusted HbA1c was greatest in East Asians (−6.6 mmol/mol [−0.60%] vs ≤6.0 mmol/mol [≤0.55%] in other groups), with significantly greater reduction vs the 2 largest groups (White Caucasians, Other Asians; P < .0001) after adjustment for covariates. After the first 4 months, East and Other Asians were more likely to initiate additional oral therapy (metformin and/or sulfonylureas) than insulin vs White Caucasians (P < .0001). Acarbose use increased in the Asian patients, but no glycaemic interaction with allocated study medication was observed (adjusted P = .12). Conclusions: The greatest initial reduction in HbA1c with sitagliptin in the TECOS population was in East Asians. No enhanced glycaemic effect was seen when sitagliptin was given with acarbose. [ABSTRACT FROM AUTHOR]

The article discusses the importance of personalizing the goals for control of glycated hemoglobin (A1C) to maximize its benefits while limiting the risks. It provides overview of he guidance set by the American College of Physicians (ACP) to relax the goals for A1C and reduce pharmacotherapy for any person whose A1C is less than 6.5 percent. It also recognizes the advantage of ADA's statement that provides balance guidance on A1C.

Objective: The implementation of the Chronic Care Model (CCM) improves health care quality. We examined the sustained effectiveness of multicomponent integrated care in type 2 diabetes.Research Design and Methods: We searched PubMed and Ovid MEDLINE (January 2000-August 2016) and identified randomized controlled trials comprising two or more quality improvement strategies from two or more domains (health system, health care providers, or patients) lasting ≥12 months with one or more clinical outcomes. Two reviewers extracted data and appraised the reporting quality.Results: In a meta-analysis of 181 trials (N = 135,112), random-effects modeling revealed pooled mean differences in HbA1c of -0.28% (95% CI -0.35 to -0.21) (-3.1 mmol/mol [-3.9 to -2.3]), in systolic blood pressure (SBP) of -2.3 mmHg (-3.1 to -1.4), in diastolic blood pressure (DBP) of -1.1 mmHg (-1.5 to -0.6), and in LDL cholesterol (LDL-C) of -0.14 mmol/L (-0.21 to -0.07), with greater effects in patients with LDL-C ≥3.4 mmol/L (-0.31 vs. -0.10 mmol/L for <3.4 mmol/L; Pdifference = 0.013), studies from Asia (HbA1c -0.51% vs. -0.23% for North America [-5.5 vs. -2.5 mmol/mol]; Pdifference = 0.046), and studies lasting >12 months (SBP -3.4 vs. -1.4 mmHg, Pdifference = 0.034; DBP -1.7 vs. -0.7 mmHg, Pdifference = 0.047; LDL-C -0.21 vs. -0.07 mmol/L for 12-month studies, Pdifference = 0.049). Patients with median age <60 years had greater HbA1c reduction (-0.35% vs. -0.18% for ≥60 years [-3.8 vs. -2.0 mmol/mol]; Pdifference = 0.029). Team change, patient education/self-management, and improved patient-provider communication had the largest effect sizes (0.28-0.36% [3.0-3.9 mmol/mol]).Conclusions: Despite the small effect size of multicomponent integrated care (in part attenuated by good background care), team-based care with better information flow may improve patient-provider communication and self-management in patients who are young, with suboptimal control, and in low-resource settings. [ABSTRACT FROM AUTHOR]

Objective: A precision approach to type 2 diabetes therapy would aim to target treatment according to patient characteristics. We examined if measures of insulin resistance and secretion were associated with glycemic response to dipeptidyl peptidase 4 (DPP-4) inhibitor therapy.Research Design and Methods: We evaluated whether markers of insulin resistance and insulin secretion were associated with 6-month glycemic response in a prospective study of noninsulin-treated participants starting DPP-4 inhibitor therapy (Predicting Response to Incretin Based Agents [PRIBA] study; n = 254), with replication for routinely available markers in U.K. electronic health care records (Clinical Practice Research Datalink [CPRD]; n = 23,001). In CPRD, we evaluated associations between baseline markers and 3-year durability of response. To test the specificity of findings, we repeated analyses for glucagon-like peptide 1 (GLP-1) receptor agonists (PRIBA, n = 339; CPRD, n = 4,464).Results: In PRIBA, markers of higher insulin resistance (higher fasting C-peptide [P = 0.03], HOMA2 insulin resistance [P = 0.01], and triglycerides [P < 0.01]) were associated with reduced 6-month HbA1c response to DPP-4 inhibitors. In CPRD, higher triglycerides and BMI were associated with reduced HbA1c response (both P < 0.01). A subgroup defined by obesity (BMI ≥30 kg/m2) and high triglycerides (≥2.3 mmol/L) had reduced 6-month response in both data sets (PRIBA HbA1c reduction 5.3 [95% CI 1.8, 8.6] mmol/mol [0.5%] [obese and high triglycerides] vs. 11.3 [8.4, 14.1] mmol/mol [1.0%] [nonobese and normal triglycerides]; P = 0.01). In CPRD, the obese, high- triglycerides subgroup also had less durable response (hazard ratio 1.28 [1.16, 1.41]; P < 0.001). There was no association between markers of insulin resistance and response to GLP-1 receptor agonists.Conclusions: Markers of higher insulin resistance are consistently associated with reduced glycemic response to DPP-4 inhibitors. This finding provides a starting point for the application of a precision diabetes approach to DPP-4 inhibitor therapy. [ABSTRACT FROM AUTHOR]

Objective: Severe hypoglycemic events (SHEs) in type 2 diabetes are associated with subsequent cardiovascular (CV) event risk. We examined whether CV events were associated with subsequent SHE risk.Research Design and Methods: Time-dependent associations between SHEs and a composite CV end point (fatal/nonfatal myocardial infarction or stroke, hospitalization for unstable angina, hospitalization for heart failure [hHF]) were examined post hoc in 14,671 TECOS (Trial Evaluating Cardiovascular Outcomes With Sitagliptin) participants with type 2 diabetes and CV disease followed for a median of 3.0 years.Results: SHEs were uncommon and unassociated with sitagliptin therapy (N = 160 [2.2%], 0.78/100 patient-years vs. N = 143 [1.9%], 0.70/100 patient-years for placebo; hazard ratio [HR] 1.12 [95% CI 0.89, 1.40], P = 0.33). Patients with (versus without) SHEs were older with longer diabetes duration, lower body weight, and lower estimated glomerular filtration rate; were more frequently women, nonwhite, and insulin treated; and more often had microalbuminuria or macroalbuminuria. Analyses adjusted for clinical factors showed SHEs were associated with increased risk of the primary composite CV end point (1.55 [1.06, 2.28], P = 0.025), all-cause death (1.83 [1.22, 2.75], P = 0.004), and CV death (1.72 [1.02, 2.87], P = 0.040). Conversely, nonfatal myocardial infarction (3.02 [1.83, 4.96], P < 0.001), nonfatal stroke (2.77 [1.36, 5.63], P = 0.005), and hHF (3.68 [2.13, 6.36], P < 0.001) were associated with increased risk of SHEs. Fully adjusted models showed no association between SHEs and subsequent CV or hHF events, but the association between CV events and subsequent SHEs remained robust.Conclusions: These findings, showing greater risk of SHEs after CV events and greater risk of CV events after SHEs, suggest a common at-risk type 2 diabetes frail patient phenotype. [ABSTRACT FROM AUTHOR]

In December 2008, the U.S. Food and Drug Administration issued guidance to the pharmaceutical industry setting new expectations for the development of antidiabetes drugs for type 2 diabetes. This guidance expanded the scope and cost of research necessary for approval of such drugs by mandating long-term cardiovascular outcomes trials (CVOTs) for safety. Since 2008, 9 CVOTs have been reported, 13 are under way, and 4 have been terminated. Reassuringly, each of the completed trials demonstrated the noninferiority of their respective drugs to placebo for their primary cardiovascular (CV) composite end point. Notably, four additionally provided evidence of CV benefit in the form of significant decreases in the primary CV composite end point, two suggested reductions in CV death, and three suggested reductions in all-cause mortality. Although these trials have yielded much valuable information, whether that information justifies the investment of time and resources is controversial. In June 2016, a Diabetes Care Editors' Expert Forum convened to review the processes and challenges of CVOTs, discuss the benefits and limitations of their current designs, and weigh the merits of modifications that might improve the efficiency and clinical value of future trials. Discussion and analysis continued with the CVOT trial results released in June 2017 at the American Diabetes Association's Scientific Sessions and in September 2017 at the European Association for the Study of Diabetes scientific meeting. This article summarizes the discussion and findings to date. [ABSTRACT FROM AUTHOR]

Objective: We evaluated the specific causes of death and their associated risk factors in a contemporary cohort of patients with type 2 diabetes and atherosclerotic cardiovascular disease (ASCVD).Research Design and Methods: We used data from the Trial Evaluating Cardiovascular Outcomes with Sitagliptin (TECOS) study (n = 14,671), a cardiovascular (CV) safety trial adding sitagliptin versus placebo to usual care in patients with type 2 diabetes and ASCVD (median follow-up 3 years). An independent committee blinded to treatment assignment adjudicated each cause of death. Cox proportional hazards models were used to identify risk factors associated with each outcome.Results: A total of 1,084 deaths were adjudicated as the following: 530 CV (1.2/100 patient-years [PY], 49% of deaths), 338 non-CV (0.77/100 PY, 31% of deaths), and 216 unknown (0.49/100 PY, 20% of deaths). The most common CV death was sudden death (n = 145, 27% of CV death) followed by acute myocardial infarction (MI)/stroke (n = 113 [MI n = 48, stroke n = 65], 21% of CV death) and heart failure (HF) (n = 63, 12% of CV death). The most common non-CV death was malignancy (n = 154, 46% of non-CV death). The risk of specific CV death subcategories was lower among patients with no baseline history of HF, including sudden death (hazard ratio [HR] 0.4; P = 0.0036), MI/stroke death (HR 0.47; P = 0.049), and HF death (HR 0.29; P = 0.0057).Conclusions: In this analysis of a contemporary cohort of patients with diabetes and ASCVD, sudden death was the most common subcategory of CV death. HF prevention may represent an avenue to reduce the risk of specific CV death subcategories. [ABSTRACT FROM AUTHOR]

Objective: Limited data exist regarding safety and efficacy of antihyperglycemic drugs in older patients with type 2 diabetes. The Trial Evaluating Cardiovascular Outcomes with Sitagliptin (TECOS) was a randomized, double-blind, placebo-controlled trial assessing the impact of sitagliptin on a primary composite outcome of cardiovascular death, nonfatal stroke, nonfatal myocardial infarction, or unstable angina hospitalizations in patients with type 2 diabetes (HbA1c ≥6.5% [48 mmol/mol] and ≤8.0% [64 mmol/mol]) and cardiovascular disease. We analyzed baseline characteristics and clinical outcomes for TECOS participants aged ≥75 years.Research Design and Methods: Clinical and safety event summaries are presented for older versus younger participants and for the treatment groups within the older cohort.Results: Of 14,351 participants with age recorded, 2,004 (14%) were ≥75 years old (mean age 78.3 years [SD 3.1]), with 68% men and type 2 diabetes duration median 12.0 years (IQR 7, 21). During 2.9 years median follow-up, older participants had higher rates of the primary outcome (6.46 vs. 3.67 events per 100 person-years; hazard ratio 1.72 [95% CI 1.52-1.94]), death (2.52 [2.20-2.89]), severe hypoglycemia (1.53 [1.15-2.03]), and fractures (1.84 [1.44-2.35]). In the older cohort, sitagliptin did not significantly impact the primary composite (1.10 [0.89-1.36]), death (1.05 [0.83-1.32]), heart failure hospitalization (0.99 [0.65-1.49]), severe hypoglycemia (1.03 [0.62-1.71]), rates of acute pancreatitis and pancreatic cancer, or serious adverse events.Conclusions: Among older patients with well-controlled type 2 diabetes and cardiovascular disease, sitagliptin had neutral effects on cardiovascular risk and raised no significant safety concerns. [ABSTRACT FROM AUTHOR]

Objective: We evaluated the incidence of acute pancreatitis and pancreatic cancer in patients with type 2 diabetes and cardiovascular disease who were treated with sitagliptin, a dipeptidyl peptidase-4 inhibitor (DPP-4i).Research Design and Methods: In the Trial Evaluating Cardiovascular Outcomes with Sitagliptin (TECOS) study, a cardiovascular safety study of sitagliptin, all suspected cases of acute pancreatitis and pancreatic cancer were collected prospectively for 14,671 participants during a median follow-up time of 3 years, and were adjudicated blindly.Results: Baseline differences were minimal between participants confirmed to have no pancreatic events, acute pancreatitis, or pancreatic cancer. Among those participants randomized to receive sitagliptin, 23 (0.3%) (vs. 12 randomized to receive placebo [0.2%]) had pancreatitis (hazard ratio 1.93 [95% CI 0.96-3.88], P = 0.065; 0.107 vs. 0.056/100 patient-years), with 25 versus 17 events, respectively. Severe pancreatitis (two fatal) occurred in four individuals allocated to receive sitagliptin. Cases of pancreatic cancer were numerically fewer with sitagliptin (9 [0.1%]) versus placebo (14 [0.2%]) (hazard ratio 0.66 [95% CI 0.28-1.51], P = 0.32; 0.042 vs. 0.066 events/100 patient-years). Meta-analysis with two other DPP-4i cardiovascular outcome studies showed an increased risk for acute pancreatitis (risk ratio 1.78 [95% CI 1.13-2.81], P = 0.01) and no significant effect for pancreatic cancer (risk ratio 0.54 [95% CI 0.28-1.04], P = 0.07).Conclusions: Pancreatitis and pancreatic cancer were uncommon events with rates that were not statistically significantly different between the sitagliptin and placebo groups, although numerically more sitagliptin participants developed pancreatitis and fewer developed pancreatic cancer. Meta-analysis suggests a small absolute increased risk for pancreatitis with DPP-4i therapy. [ABSTRACT FROM AUTHOR]

Objective: To evaluate chronic kidney disease (CKD) and cardiovascular outcomes in TECOS (Clinical trial reg. no. NCT00790205, clinicaltrials.gov) participants with type 2 diabetes and cardiovascular disease treated with sitagliptin, a dipeptidyl peptidase 4 inhibitor, according to baseline estimated glomerular filtration rate (eGFR).Research Design and Methods: We used data from 14,671 TECOS participants assigned in a double-blind design to receive sitagliptin or placebo added to existing therapy, while aiming for glycemic equipoise between groups. Cardiovascular and CKD outcomes were evaluated over a median period of 3 years, with participants categorized at baseline into eGFR stages 1, 2, 3a, and 3b (≥90, 60-89, 45-59, or 30-44 mL/min/1.73 m2, respectively).Results: Participants with eGFR stage 3b were older, were more often female, and had a longer duration of diabetes. Four-point major adverse cardiovascular event rates increased with lower baseline eGFR (3.52, 3.55, 5.74, and 7.34 events/100 patient-years for stages 1-3b, respectively). Corresponding adjusted hazard ratios for stages 2, 3a, and 3b versus stage 1 were 0.93 (95% CI 0.82-1.06), 1.28 (1.10-1.49), and 1.39 (1.13-1.72), respectively. Sitagliptin therapy was not associated with cardiovascular outcomes for any eGFR stage (interaction P values were all >0.44). Kidney function declined at the same rate in both treatment groups, with a marginally lower but constant eGFR difference (-1.3 mL/min/1.73 m2) in those participants who were assigned to sitagliptin. Treatment differences in these eGFR values remained after adjustment for region, baseline eGFR, baseline HbA1c, time of assessment, and within-study HbA1c levels.Conclusions: Impaired kidney function is associated with worse cardiovascular outcomes. Sitagliptin has no clinically significant impact on cardiovascular or CKD outcomes, irrespective of baseline eGFR. [ABSTRACT FROM AUTHOR]

Objective: The impact of taking oral glucose-lowering medicines intermittently, rather than as recommended, is unclear. We conducted a retrospective cohort study using community-acquired U.K. clinical data (Clinical Practice Research Database [CPRD] and GoDARTS database) to examine the prevalence of nonadherence to treatment for type 2 diabetes and investigate its potential impact on HbA1c reduction stratified by type of glucose-lowering medication.Research Design and Methods: Data were extracted for patients treated between 2004 and 2014 who were newly prescribed metformin, sulfonylurea, thiazolidinedione, or dipeptidyl peptidase 4 inhibitors and who continued to obtain prescriptions over 1 year. Cohorts were defined by prescribed medication type, and good adherence was defined as a medication possession ratio ≥0.8. Linear regression was used to determine potential associations between adherence and 1-year baseline-adjusted HbA1c reduction.Results: In CPRD and GoDARTS, 13% and 15% of patients, respectively, were nonadherent. Proportions of nonadherent patients varied by the oral glucose-lowering treatment prescribed (range 8.6% [thiazolidinedione] to 18.8% [metformin]). Nonadherent, compared with adherent, patients had a smaller HbA1c reduction (0.4% [4.4 mmol/mol] and 0.46% [5.0 mmol/mol] for CPRD and GoDARTs, respectively). Difference in HbA1c response for adherent compared with nonadherent patients varied by drug (range 0.38% [4.1 mmol/mol] to 0.75% [8.2 mmol/mol] lower in adherent group). Decreasing levels of adherence were consistently associated with a smaller reduction in HbA1c.Conclusions: Reduced medication adherence for commonly used glucose-lowering therapies among patients persisting with treatment is associated with smaller HbA1c reductions compared with those taking treatment as recommended. Differences observed in HbA1c responses to glucose-lowering treatments may be explained in part by their intermittent use. [ABSTRACT FROM AUTHOR]

The article discusses the effect of fenofibrate therapy on laser treatment for diabetic retinopathy with a meta-analysis of randomized controlled trials. Topics include Fenofibrate is an inexpensive lipid-modifying agent that activates the peroxisome proliferator–activated receptor; and hypothesis-generating tertiary outcome of a major cardiovascular trial suggested that prolonged fenofibrate therapy reduces the need for retinal laser treatment.