Predicting Events in Heart Failure Patients: An Ongoing Challenge

Heart failure (HF) is a worldwide health problem, with an estimated 37.7 million people affected in 2010 [1]. HF carries a heavy burden on both patients and health systems due to high mortality rates and frequent hospitalisations [2,3]. HF is associated with substantial in-hospital and post-discharge mortality, as well as high rates of readmission [4]. In a recent systematic review on HF in Australia [5], 1-year mortality rate was 25% and 1-year readmission rate was 56%. Therefore, identifying a risk model could be a useful tool to target this high-risk population.
Source: Heart, Lung and Circulation - Category: Cardiology Authors: Tags: Editorial Source Type: research