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Objective: Heart failure (HF) is an impactful complication of type 2 diabetes mellitus (T2DM). We aimed to develop and validate a risk score for hospitalization for HF (HHF) incorporating biomarkers and clinical factor(s) in patients with T2DM.Research Design and Methods: We derived a risk score for HHF using clinical data, high-sensitivity troponin T (hsTnT), and N-terminal prohormone of B-type natriuretic peptide (NT-proBNP) from 6,106 placebo-treated patients with T2DM in SAVOR-TIMI 53 (Saxagliptin Assessment of Vascular Outcomes Recorded in Patients with Diabetes Mellitus-Thrombolysis in Myocardial Infarction 53). Candidate variables were assessed using Cox regression. The strongest indicators of HHF risk were included in the score using integer weights. The score was externally validated in 7,251 placebo-treated patients in DECLARE-TIMI 58 (Dapagliflozin Effect on CardiovascuLAR Events-Thrombolysis in Myocardial Infarction 58). The effect of dapagliflozin on HHF was assessed by risk category in DECLARE-TIMI 58.Results: The strongest indicators of HHF risk were NT-proBNP, prior HF, and hsTnT (each P < 0.001). A risk score using these three variables identified a gradient of HHF risk (P-trend <0.001) in the derivation and validation cohorts, with C-indices of 0.87 (95% CI, 0.84-0.89) and 0.84 (0.81-0.86), respectively. Whereas there was no significant effect of dapagliflozin versus placebo on HHF in the low-risk group (hazard ratio [HR] 0.98 [95% CI 0.50-1.92]), dapagliflozin significantly reduced HHF in the intermediate-, high-, and very-high-risk groups (HR 0.64 [0.43-0.95], 0.63 [0.43-0.94], and 0.72 [0.54-0.96], respectively). Correspondingly, absolute risk reductions (95% CI) increased across these latter 3 groups: 1.0% (0.0-1.9), 3.0% (0.7-5.3), and 4.4% (-0.2 to 8.9) (P-trend <0.001).Conclusions: We developed and validated a risk score for HHF in T2DM that incorporated NT-proBNP, prior HF, and hsTnT. The risk score identifies patients at higher risk of HHF who derive greater absolute benefit from dapagliflozin. [ABSTRACT FROM AUTHOR]

Objective: International guidelines propose prescribing sodium-glucose cotransporter 2 (SGLT2) inhibitors to patients with type 2 diabetes (T2D) as secondary prevention in patients with established atherosclerotic cardiovascular disease (ASCVD) or for primary prevention of cardiovascular events in high-risk patients with multiple risk factors (MRF) for ASCVD. The current analyses expand on the cardiovascular renal and metabolic effects of SGLT2 inhibitors in MRF patients.Research Design and Methods: In DECLARE-TIMI 58, 17,160 patients with T2D and MRF (59.4%) or established ASCVD (40.6%) were randomized to dapagliflozin versus placebo; patients were followed for a median of 4.2 years. The cardiovascular and renal outcomes in the MRF cohort were studied across clinically relevant subgroups for treatment effect and subgroup-based treatment interaction.Results: Among patients with MRF, the reduction with dapagliflozin in risk of cardiovascular death or hospitalization for heart failure (CVD/HHF) (hazard ratio [HR] 0.84, 95% CI 0.67-1.04) and the renal-specific outcome (HR 0.51, 95% CI 0.37-0.69) did not differ from that for patients with ASCVD (Pinteraction 0.99 and 0.72, respectively). The effect on CVD/HHF was entirely driven by a reduction in HHF (HR 0.64, 95% CI 0.46-0.88). The benefits of dapagliflozin on HHF and on the renal-specific outcome, among the subset with MRF, were directionally consistent across clinically relevant subgroups. At 48 months, HbA1c, weight, systolic blood pressure, and urinary albumin-to-creatinine ratio were lower with dapagliflozin versus placebo and estimated glomerular filtration rate was higher (P < 0.001).Conclusions: In patients with T2D and MRF, dapagliflozin reduced the risk of HHF and adverse renal outcomes regardless of baseline characteristics. These analyses support the benefit of dapagliflozin for important outcomes in a broad primary prevention population. [ABSTRACT FROM AUTHOR]

Summary: Obesity is a global epidemic associated with over 200 health complications and a significant risk of developing cardiovascular disease (CVD), partly by increasing classical risk factors such as lipid and glucose levels and blood pressure. Weight loss through lifestyle interventions, pharmacotherapy and/or bariatric surgery improves CV risk factors. Cardiovascular outcome trials (CVOTs) of anti‐obesity medications aim to evaluate the CV safety and benefits of pharmacotherapy. Many CVOTs in obesity have either failed to demonstrate a CV benefit or have been terminated prematurely because of safety issues, prompting regulatory agencies to define new requirements (based on those for CVOTs in type 2 diabetes [T2D]). CVOTs of glucagon‐like peptide‐1 receptor agonists (GLP‐1RAs) in T2D have demonstrated that some GLP‐1RAs reduce CV risk and may help inform future CVOTs in obesity, given the approval of liraglutide 3.0 mg for obesity. In this review, the evidence for the link between obesity and CVD is considered in the context of studies showing that weight loss improves markers of CV risk and risk of adverse CV events. The review also examines the CVOTs in obesity that have been conducted to date and those under way, such as the SELECT trial with subcutaneous semaglutide of 2.4 mg. [ABSTRACT FROM AUTHOR]

Aims Obstructive sleep apnoea (OSA) is associated with increased cardiovascular morbidity and mortality. Although it was previously assumed that this was due to its relation with obesity, recent data suggest that OSA is independently associated with the cardiovascular risk factors that comprise metabolic syndrome, including hypertension, insulin resistance, impaired glucose tolerance, and dyslipidaemia. However, as previous studies have only considered these variables individually, it has not been possible to determine the overall association of OSA with this syndrome. Methods and results We recruited 61 male subjects with OSA and 43 controls. Glucose, insulin, lipids, and blood pressure (BP) were measured following an overnight fast. Insulin resistance was estimated using homeostasis model assessment (HOMA). Metabolic syndrome was diagnosed according to National Cholesterol Education Program (NCEP) criteria. Subjects with OSA were more obese, had higher BP and fasting insulin, were more insulin resistant, had lower HDL cholesterol, and an increased incidence of metabolic syndrome (87% vs. 35%, p<0.0001). In order to determine whether these associations were independent of obesity and other known covariates, a regression analysis adjusted for age, BMI, smoking, and alcohol consumption was performed. This demonstrated that OSA was independently associated with increased systolic and diastolic blood pressure, higher fasting insulin and triglyceride concentrations, decreased HDL cholesterol, increased cholesterol:HDL ratio, and a trend towards higher HOMA values. Metabolic syndrome was 9.1 (95% confidence interval 2.6, 31.2: p<0.0001) times more likely to be present in subjects with OSA. Conclusions OSA is independently associated with an increase in the cardiovascular risk factors that comprise the metabolic syndrome and its overall prevalence. This may help explain the increased cardiovascular morbidity and mortality associated with this condition. [ABSTRACT FROM PUBLISHER]

Ghrelin is the natural ligand of the growth hormone secretagogue receptor (GHS-R) and potently stimulates GH release in humans. Ghrelin is found in the hypothalamus, but most circulating ghrelin is derived from the stomach. Ghrelin stimulates food intake but circulating levels are low in obesity. We hypothesized that GH deficiency (GHD) might be associated with increased circulating ghrelin concentrations as a result of low GH levels. We therefore measured circulating ghrelin concentrations, leptin and body composition in subjects with GHD and healthy controls. Subjects with GHD ( n = 18) were compared to healthy control subjects ( n = 18), matched for body mass index (BMI). They underwent assessment of body composition [waist circumference, BMI and percentage body fat (using bioimpedance)]. Plasma ghrelin, leptin, insulin, GH and IGF-1 were measured in the fasting state. Plasma ghrelin was measured using a specific radioimmunassay, and the other hormones using commercially available assays. The groups were well-matched for BMI (GHD vs. control; 32·9 ± 10·8 vs. 31·3 ± 11·7, P = ns) and waist circumference (GHD vs. control; 102·9 ± 20·0 vs. 99·8 ± 25·2, P = ns), but percentage body fat (GHD vs. control; 37·0 ± 9·1 vs. 29·4 ± 13·0, P = 0·06) tended to be higher in the GHD group. As expected, IGF-1 was lower in GHD (GHD vs. control; 12·5 ± 6·8 vs. 19·2 ± 5·8 nmol/l, P = 0·003). Ghrelin [GHD vs. controls; geometric mean (95% CI); 828·8 (95% CI 639·9–1074·2) vs. 487·9 (95% CI 297·2–800·2) pmol/l] and leptin [GHD vs. controls; 13·2 (95% CI 6·6–26·5) vs. 7·9 (95% CI 3·7–16·9) ng/ml] were similar in the two groups. Plasma ghrelin correlated inversely with waist circumference and waist hip ratio in GHD subjects ( r = −0·6, P = 0·02) but not with IGF-1 or GH concentrations. There was no significant correlation in the control subjects. Circulating ghrelin concentrations are influenced by body fat distribution, but not by levels of either GH or IGF-1. However, given that obesity is associated with reduced ghrelin concentrations and that GHD is commonly associated with increased body fat, it is possible that these two opposing influences on circulating ghrelin levels result in normal concentrations in subjects with GHD. [ABSTRACT FROM AUTHOR]