Background: Hypertension is common in patients with heart failure with mildly reduced or preserved ejection fraction (HFmrEF/HFpEF), and current guidelines recommend treating systolic blood pressure (SBP) to a target <130 mm Hg. However, data supporting treatment to this target are limited. Additionally, pulse pressure (PP), a marker of aortic stiffness, has been associated with increased risk of cardiovascular events, but its prognostic impact in HFpEF has not been extensively studied.
View Article and Find Full Text PDFBackground: The importance of nutritional status is underappreciated in patients with heart failure (HF). This study aimed to describe the range of the prognostic nutrition index (PNI), and the clinical characteristics and outcomes according to PNI, in patients with HF with preserved ejection fraction (HFpEF) and reduced ejection fraction (HFrEF). The primary outcome was the composite of HF hospitalization or cardiovascular death.
View Article and Find Full Text PDFAims: To evaluate clinical outcomes, echocardiographic features, and the efficacy and safety of sacubitril/valsartan compared to valsartan across age groups in the PARAGON-HF trial.
Methods And Results: A total of 4796 participants ≥50 years of age with chronic heart failure (HF) and left ventricular ejection fraction (LVEF) ≥45% were divided into three age groups: <65 years (n = 825), 65-74 years (n = 1772), and ≥75 years (n = 2199). Echocardiograms of 1097 patients were analysed in a standardized fashion at a core imaging laboratory.
Aims: We aim to evaluate the incidence of atrial fibrillation (AF) in a large real-world cohort of patients implanted with an insertable cardiac monitor (ICM) who had a clinical history of symptomatic heart failure (HF) with reduced or preserved left ventricular ejection fraction (LVEF).
Methods: Patients with an ICM and a history of HF events were identified from the Optum® de-identified Electronic Health Record dataset merged with an ICM device dataset collected during 2007-2021. All ICM-detected AF episodes that were available with ≥30-s of ECG at onset were adjudicated using artificial intelligence (AI model).