Background: Data on the effect of mineralocorticoid receptor antagonist therapy on HbA levels and new-onset diabetes are conflicting. We aimed to examine the effect of oral finerenone, compared with placebo, on incident diabetes in the Finerenone Trial to Investigate Efficacy and Safety Superior to Placebo in Patients with Heart Failure (FINEARTS-HF) trial.
Methods: In this randomised, double-blind, placebo-controlled trial, 6001 participants with heart failure with New York Heart Association functional class II-IV, left ventricular ejection fraction 40% or higher, evidence of structural heart disease, and elevated N-terminal pro-B-type natriuretic peptide levels were randomly assigned to finerenone or placebo, administered orally.
Background: An initial decline in estimated glomerular filtration rate (eGFR) often leads to reluctance to continue life-saving therapies in patients with heart failure (HF).
Objectives: The goal of this study was to describe the association between initial decline in eGFR and subsequent clinical outcomes in patients randomized to placebo or finerenone.
Methods: In this prespecified analysis of FINEARTS-HF (Finerenone Trial to Investigate Efficacy and Safety Superior to Placebo in Patients with Heart Failure), we examined the association between initial decline in eGFR (≥15%) from randomization to 1 month and subsequent outcomes in patients assigned to finerenone or placebo.
Aims: A cardiovascular magnetic resonance (CMR) approach to non-invasively estimate left ventricular (LV) filling pressure was recently developed and shown to correlate with invasively measured pulmonary capillary wedge pressure (PCWP). We examined the association between CMR-estimated PCWP (CMR-PCWP) and other imaging and biomarker measures of congestion, and the effect of empagliflozin on these, in the SUGAR-DM-HF trial (NCT03485092).
Methods And Results: SUGAR-DM-HF enrolled 105 patients with heart failure with reduced ejection fraction (HFrEF) and pre-diabetes or type 2 diabetes who were randomly assigned to empagliflozin 10 mg or placebo once daily for 36 weeks.
Objective: Machine learning (ML) may allow for improved discernment of hemodynamics and oxygen delivery compared to standard invasive monitoring. We hypothesized that an ML algorithm could predict impaired delivery of oxygen (IDO) with comparable discrimination to invasive mixed venous oxygen saturation (SvO) measurement.
Methods: A total of 230 patients not on mechanical circulatory support (MCS) managed with a pulmonary artery catheter (PAC) were identified from 1012 patients admitted to a single cardiovascular intensive care unit (CVICU) between April 2021 and January 2022.