Introduction
Right ventricular (RV) systolic dysfunction is a prognostic marker in chronic
heart failure (HF). However, reliable assessment of RV function remains a
challenge. We examined the correlation of commonly used RV function parameters
with i) markers of left ventricular (LV) remodeling and ii) dynamic changes in
levels of plasma extracellular RNAs (exRNAs) in patients with chronic HF. We
then created models using linear regression, regression trees and random forests
in order to investigate the association between changes of exRNAs with the
dynamic process of cardiac remodeling.