Flu Vaccine and Mortality in Hypertension:A Nationwide Cohort Study

BACKGROUND: Influenza infection may increase the risk of stroke and acute myocardial infarction (AMI). Whether influenza vaccination may reduce mortality in patients with hypertension is currently unknown. METHODS AND RESULTS: We performed a nationwide cohort study including all patients with hypertension in Denmark during 9 consecutive influenza seasons in the period 2007 to 2016 who were prescribed at least 2 different classes of antihypertensive medication (renin‐angiotensin system inhibitors, diuretics, calcium antagonists, or beta‐blockers). We excluded patients who were aged 100 years, had ischemic heart disease, heart failure, chronic obstructive lung disease, cancer, or cerebrovascular disease. The exposure to influenza vaccination was assessed before each influenza season. The end points were defined as death from all‐causes, from cardiovascular causes, or from stroke or AMI. For each influenza season, patients were followed from December 1 until April 1 the next year. We included a total of 608 452 patients. The median follow‐up was 5 seasons (interquartile range, 2–8 seasons) resulting in a total follow‐up time of 975 902 person‐years. Vaccine coverage ranged from 26% to 36% during the study seasons. During follow‐up 21 571 patients died of all‐causes (3.5%), 12 270 patients died of cardiovascular causes (2.0%), and 3846 patients died of AMI/stroke (0.6%). After adjusting for confounders, vaccination was significantly associated with reduced risks of all‐cause death (HR, 0.82; P<0.001), cardiovascular death (HR, 0.84; P<0.001), and death from AMI/stroke (HR, 0.90; P=0.017). CONCLUSIONS: Influenza vaccination was significantly associated with reduced risks of death from all‐causes, cardiovascular causes, and AMI/stroke in patients with hypertension. Influenza vaccination might improve outcome in hypertension

The effect of sacubitril/valsartan on left ventricular myocardial deformation in heart failure with preserved ejection fraction (PARAMOUNT trial)

Background: Global longitudinal strain (GLS) and global circumferential strain (GCS) have been shown to be impaired in heart failure with preserved ejection fraction. We sought to assess whether treating patients with heart failure with preserved ejection fraction with sacubitril/valsartan would significantly improve GLS and GCS compared with valsartan alone. Methods and Results: PARAMOUNT (Prospective Comparison of ARNI With ARB on Management of Heart Failure With Preserved Ejection Fraction Trial) was a phase II, randomized, parallel-group, double-blind multicenter trial in 301 patients with New York Heart Association functional class II–III heart failure, a left ventricular ejection fraction of 45%, and an N-terminal pro-B-type natriuretic peptide of ≥400 pg/mL. Participants were randomly assigned (1:1) to sacubitril/valsartan titrated to 200 mg twice daily or valsartan titrated to 160 mg twice daily for 36 weeks. We assessed changes in the GLS and the GCS from baseline to 36 weeks, adjusting for baseline value, in patients with sufficient imaging quality for 2-dimensitonal speckle tracking analysis at both timepoints (n = 60 sacubitril/valsartan, n = 75 valsartan only). GCS was significantly improved at 36 weeks in the sacubitril/valsartan group when compared with the valsartan group (Δ4.42%, 95% confidence interval [CI] 0.67–8.17, P = .021), with no significant difference observed in GLS (Δ0.25%, 95% CI, –1.19 to 1.70, P = .73). Patients with a history of hospitalization for heart failure had a differentially greater improvement in GCS when treated with sacubitril/valsartan. Conclusions: In patients with heart failure with preserved ejection fraction, sacubitril/valsartan improved GCS but not GLS when compared with valsartan during a 36-week period

Effect of ejection fraction on clinical outcomes in patients treated with omecamtiv mecarbil in GALACTIC-HF

Background: In GALACTIC-HF (Global Approach to Lowering Adverse Cardiac outcomes Through Improving Contractility in Heart Failure) (n = 8,256), the cardiac myosin activator, omecamtiv mecarbil, significantly reduced the primary composite endpoint (PCE) of time-to-first heart failure event or cardiovascular death in patients with heart failure and reduced ejection fraction (EF) (≤35%). Objectives: The purpose of this study was to evaluate the influence of baseline EF on the therapeutic effect of omecamtiv mecarbil. Methods: Outcomes in patients treated with omecamtiv mecarbil were compared with placebo according to EF. Results: The risk of the PCE in the placebo group was nearly 1.8-fold greater in the lowest EF (≤22%) compared with the highest EF (≥33%) quartile. Amongst the pre-specified subgroups, EF was the strongest modifier of the treatment effect of omecamtiv mecarbil on the PCE (interaction as continuous variable, p = 0.004). Patients receiving omecamtiv mecarbil had a progressively greater relative and absolute treatment effect as baseline EF decreased, with a 17% relative risk reduction for the PCE in patients with baseline EF ≤22% (n = 2,246; hazard ratio: 0.83; 95% confidence interval: 0.73 to 0.95) compared with patients with EF ≥33% (n = 1,750; hazard ratio: 0.99; 95% confidence interval: 0.84 to 1.16; interaction as EF by quartiles, p = 0.013). The absolute reduction in the PCE increased with decreasing EF (EF ≤22%; absolute risk reduction, 7.4 events per 100 patient-years; number needed to treat for 3 years = 11.8), compared with no reduction in the highest EF quartile. Conclusions: In heart failure patients with reduced EF, omecamtiv mecarbil produced greater therapeutic benefit as baseline EF decreased. These findings are consistent with the drug’s mechanism of selectively improving systolic function and presents an important opportunity to improve the outcomes in a group of patients at greatest risk. (Registrational Study With Omecamtiv Mecarbil/AMG 423 to Treat Chronic Heart Failure With Reduced Ejection Fraction [GALACTIC-HF]; NCT02929329

Fast and efficient QTL mapper for thousands of molecular phenotypes

In order to discover quantitative trait loci, multi-dimensional genomic datasets combining DNA-seq and ChiP-/RNA-seq require methods that rapidly correlate tens of thousands of molecular phenotypes with millions of genetic variants while appropriately controlling for multiple testing