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 …

Background—Prognosis and mode of death in heart failure patients are highly variable in
that some patients die suddenly (often from ventricular arrhythmia) and others die of …

Objectives: The aim of this study was to validate the Seattle Heart Failure Model (SHFM) in
patients with advanced heart failure (HF). Background: The SHFM was developed primarily …

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: Heart failure is a leading cause of morbidity and mortality, but there are no
reliable models based on readily available clinical variables to predict outcomes in patients …

Management of heart failure (HF) remains complex with low 5-year survival. The Seattle
Heart Failure Model (SHFM) is a recently described risk score derived predominantly from …

Background—We sought to assess the predictive value of the Seattle Heart Failure Model
(SHFM) when applied to ambulatory patients with advanced heart failure (HF) presented to …

OBJECTIVE: To identify factors associated with short term mortality in hospitalised patients
with heart failure. BACKGROUND: Hospitalisation is frequent in patients with heart failure …

Importance The clinical practice guidelines for heart failure recommend the use of validated
risk models to estimate prognosis. Understanding how well models identify individuals who …