The present paper systematically reviews and compares existing prediction models in order
to establish the strongest variables, models, and model characteristics in patients with heart …

Objectives: This study sought to review the literature for risk prediction models in patients
with heart failure and to identify the most consistently reported independent predictors of risk …

Introduction From a prospective multicentre multicountry clinical trial, we developed and
validated risk models to predict prospective all‐cause mortality and hospitalizations because …

Objective: To develop a comprehensive and easily applicable prognostic model predicting
mortality risk in patients with moderate to severe heart failure. Design: Prospective follow up …

Background—Optimal management of heart failure requires accurate assessment of
prognosis. Many prognostic models are available. Our objective was to identify studies that …

Aims The aim of this study was to evaluate the performance of a recently developed risk
score for mortality in heart failure by external validation in a national heart failure registry …

ContextA predictive model of mortality in heart failure may be useful for clinicians to improve
communication with and care of hospitalized patients. ObjectivesTo identify predictors of …

Background—Heart failure has an annual mortality rate ranging from 5% to 75%. The
purpose of the study was to develop and validate a multivariate risk model to predict 1-, 2 …

Objectives: This study sought to develop models for predicting mortality and heart failure
(HF) hospitalization for outpatients with HF with preserved ejection fraction (HFpEF) in the …

Background—Heart failure (HF) inpatient mortality prediction models can help clinicians
make treatment decisions and researchers conduct observational studies; however …