BackgroundDyslipidemia is a major risk factor for cardiovascular events. The prognostic importance of lipoproteins in patients with atrial fibrillation is not well understood. We aimed to explore the association between apolipoprotein A1 (ApoA1) and B (ApoB) and cardiovascular events in patients with atrial fibrillation receiving oral anticoagulation.Methods and ResultsUsing data from the ARISTOTLE (Apixaban for Reduction in Stroke and Other Thromboembolic Events in Atrial Fibrillation) trial, ApoA1 and ApoB plasma levels were measured at baseline in 14 884 atrial fibrillation patients. Median length of follow‐up was 1.9 years. Relationships between continuous levels of ApoA1 and ApoB and clinical outcomes were evaluated using Cox models adjusted for cardiovascular risk factors, medication including statins, and cardiovascular biomarkers. A composite ischemic outcome (ischemic stroke, systemic embolism, myocardial infarction, and cardiovascular death) was used as the primary end point. Median (25th, 75th) ApoA1 and ApoB levels were 1.10 (0.93, 1.30) and 0.70 g/L (0.55, 0.85), respectively. In adjusted analyses, higher levels of ApoA1 were independently associated with a lower risk of the composite ischemic outcome (hazard ratio, 0.81; P<0.0001). Similar results were observed for the individual components of the composite outcome. ApoB was not significantly associated with the composite ischemic outcome (P=0.8240). Neither apolipoprotein was significantly associated with major bleeding. There was no interaction between lipoproteins and randomized treatment for the primary outcome (both P values ≥0.2448).ConclusionsIn patients with atrial fibrillation on oral anticoagulation, higher levels of ApoA1 were independently associated with lower risk of ischemic cardiovascular outcomes. Investigating therapies targeting dyslipidemia may thus be useful to improve cardiovascular outcomes in patients with atrial fibrillation.Clinical Trial RegistrationURL: http://www.clinicaltrials.gov. Unique identifier: NCT00412984.

Background To explore the pathophysiological features of ischemic stroke in patients with atrial fibrillation (AF), we evaluated the association between 268 plasma proteins and subsequent ischemic stroke in 2 large AF cohorts receiving oral anticoagulation. Methods and Results A case‐cohort sample of patients with AF from the ARISTOTLE (Apixaban for Reduction in Stroke and Other Thromboembolic Events in Atrial Fibrillation) trial, including 282 cases with ischemic stroke or systemic embolism and a random sample of 4124 without these events, during 1.9 years of follow‐up was used for identification. Validation was provided by a similar case‐cohort sample of patients with AF from the RE‐LY (Randomized Evaluation of Long‐Term Anticoagulation Therapy) trial, including 149 cases with ischemic stroke/systemic embolism and a random sample of 1062 without these events. In plasma obtained before randomization, 268 unique biomarkers were measured with OLINK proximity extension assay panels (CVD II, CVD III, and Inflammation) and conventional immunoassays. The association between biomarkers and outcomes was evaluated by random survival forest and adjusted Cox regression. According to random survival forest or Cox regression analyses, the biomarkers most strongly and consistently associated with ischemic stroke/systemic embolism were matrix metalloproteinase‐9, NT‐proBNP (N‐terminal pro‐B‐type natriuretic peptide), osteopontin, sortilin, soluble suppression of tumorigenesis 2, and trefoil factor‐3. The corresponding hazard ratios (95% CIs) for an interquartile difference were as follows: 1.18 (1.00–1.38), 1.55 (1.28–1.88), 1.28 (1.07–1.53), 1.19 (1.02–1.39), 1.23 (1.05–1.45), and 1.19 (0.97–1.45), respectively. Conclusions In patients with AF, of 268 unique biomarkers, the 6 biomarkers most strongly associated with subsequent ischemic stroke/systemic embolism represent fibrosis/remodeling (matrix metalloproteinase‐9 and soluble suppression of tumorigenesis 2), cardiac dysfunction (NT‐proBNP), vascular calcification (osteopontin), metabolism (sortilin), and mucosal integrity/ischemia (trefoil factor‐3). Registration URL: https://www.clinicaltrials.gov . Unique Identifiers: NCT00412984 and NCT00262600.

The period following heart failure hospitalization (HFH) is a vulnerable time with high rates of death or recurrent HFH.OBJECTIVE To evaluate clinical characteristics, outcomes, and treatment response to vericiguat according to prespecified index event subgroups and time from index HFH in the Vericiguat Global Study in Subjects With Heart Failure With Reduced Ejection Fraction (VICTORIA) trial. DESIGN, SETTING, AND PARTICIPANTSAnalysis of an international, randomized, placebo-controlled trial. All VICTORIA patients had recent (<6 months) worsening HF (ejection fraction <45%). Index event subgroups were less than 3 months after HFH (n = 3378), 3 to 6 months after HFH (n = 871), and those requiring outpatient intravenous diuretic therapy only for worsening HF (without HFH) in the previous 3 months (n = 801). Data were analyzed between May 2, 2020, and May 9, 2020.INTERVENTION Vericiguat titrated to 10 mg daily vs placebo. MAIN OUTCOMES AND MEASURESThe primary outcome was time to a composite of HFH or cardiovascular death; secondary outcomes were time to HFH, cardiovascular death, a composite of all-cause mortality or HFH, all-cause death, and total HFH. RESULTS Among 5050 patients in the VICTORIA trial, mean age was 67 years, 24% were women, 64% were White, 22% were Asian, and 5% were Black. Baseline characteristics were balanced between treatment arms within each subgroup. Over a median follow-up of 10.8 months, the primary event rates were 40.9, 29.6, and 23.4 events per 100 patient-years in the HFH at less than 3 months, HFH 3 to 6 months, and outpatient worsening subgroups, respectively. Compared with the outpatient worsening subgroup, the multivariable-adjusted relative risk of the primary outcome was higher in HFH less than 3 months (adjusted hazard ratio, 1.48; 95% CI, 1.27-1.73), with a time-dependent gradient of risk demonstrating that patients closest to their index HFH had the highest risk. Vericiguat was associated with reduced risk of the primary outcome overall and in all subgroups, without evidence of treatment heterogeneity. Similar results were evident for all-cause death and HFH. Addtionally, a continuous association between time from HFH and vericiguat treatment showed a trend toward greater benefit with longer duration since HFH. Safety events (symptomatic hypotension and syncope) were infrequent in all subgroups, with no difference between treatment arms.CONCLUSIONS AND RELEVANCE Among patients with worsening chronic HF, those in closest proximity to their index HFH had the highest risk of cardiovascular death or HFH, irrespective of age or clinical risk factors. The benefit of vericiguat did not differ significantly across the spectrum of risk in worsening HF.

Aims Atrial fibrillation (AF) is associated with higher mortality. Biomarkers may improve the understanding of key pathophysiologic processes in AF that lead to death. Using a new multiplex analytic technique, we explored the association between 268 biomarkers and cardiovascular (CV) death in anticoagulated patients with AF. Methods and Results A case-cohort design with 1.8 -1.9 years follow-up. The identification cohort included 517 cases and 4057 randomly selected patients from ARISTOTLE. The validation cohort included 277 cases and 1042 randomly selected controls from RE-LY. Plasma collected at randomization was analyzed with conventional immunoassays and the OLINK proximity extension assay-panels; CVDII, CVDIII, and Inflammation. Association between biomarkers and CV-death was evaluated using Random Survival Forest, Boruta and adjusted Cox-regression analyses. The biomarkers most strongly and consistently associated with CV-death were (hazard ratio for inter-quartile comparison [95% CI]): N-terminal pro-B-type natriuretic peptide (NT-proBNP; 1.63 [1.37-1.93]), cardiac troponin T (cTnT-hs; 1.60[1.35-1.88]), interleukin-6 (IL-6; 1.29[1.13-1.47]), growth differentiation factor-15 (GDF-15; 1.30[1.10-1.53]) fibroblast growth factor 23 (FGF-23; 1.21[1.10-1.33]), urokinase receptor (uPAR; 1.38[1.16-1.64]), trefoil factor 3 (TFF3; 1.27[1.10-1.46]), tumor necrosis factor receptor 1 (TNFR1; 1.21[1.01-1.45]), TNF-related apoptosis-inducing ligand receptor 2 (TRAILR2; 1.18[1.04-1.34]) and cathepsin L1 (CTSL1; 1.22[1.07-1.39]). Conclusion In this comprehensive screening of 268 biomarkers in anticoagulated patients with AF the underlying mechanisms most strongly associated with CV-death were cardiorenal dysfunction (NT-proBNP, cTnT-hs, CTSL1, TFF3), oxidative stress (GDF-15), inflammation (IL-6, GDF-15), calcium balance, vascular and renal dysfunction (FGF-23), fibrinolysis (suPAR) and apoptosis (TNFR1, TRAILR2). These findings provide novel insights into pathophysiologic aspects associated with CV-death in AF. Translational Perspective In patients with AF there is an unmet need for better understanding of the pathophysiological processes involved with CV-death. Using a targeted proteomic approach, 10 biomarkers were identified as having a strong association with CV-death. The identified biomarkers reflect several biological pathways involved with CV-death in AF. The present study provides valuable insights into important processes involved with CV-death in patients with AF and may facilitate the identification of important risk factors for death, thus allowing for earlier intervention and possibly even for targeted therapy to reduce AF-related mortality. ClinicalTrials.gov identifier NCT00412984 and NCT00262600

Background: Oral anticoagulants (OAC) in patients with atrial fibrillation (AF) prevent thromboembolic events, but are associated with significant risk of bleeding. Objectives:To explore associations between a wide range of biomarkers and bleeding risk in patients with AF on OAC.Method: Biomarkers were analyzed in a random sample of 4200 patients, 204 cases with major bleedings, from ARISTOTLE. The replication cohort included 344 cases with major bleeding and 1024 random controls from RE-LY. Plasma samples obtained at randomization were analyzed by the Olink Proximity Extension Assay cardiovascular and inflammation panels and conventional immunoassays. The associations between biomarker levels and major bleeding over 1 to 3 years of follow-up were evaluated by random survival forest/Boruta analyses and Cox regression analyses to assess linear associations and hazard ratios for identified biomarkers.Results: Out of 268 proteins, nine biomarkers were independently associated with bleeding in both cohorts. In the replication cohort the linear hazard ratios (95% confidence intervals) per interquartile range were for these biomarkers: TNF-R1 1.748