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 …

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 …

Background The ability to predict risk allows healthcare providers to propose which patients
might benefit most from certain therapies, and is relevant to payers' demands to justify …

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

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 Predicting mortality is important in patients with heart failure (HF). However,
current strategies for predicting risk are only modestly successful, likely because they are …

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

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 Numerous models predicting the risk of incident heart failure (HF) have been
developed; however, evidence of their methodological rigor and reporting remains unclear …