Each year, there are over one million hospitalizations for heart failure in the United States, with a similar number in Western Europe. Although these patients respond to initial therapies, they have very high short and intermediate term (2-6 months) mortality and readmission rates, while the healthcare system incurs substantial costs. Several risk prediction models that can accurately identify high-risk patients have been developed using data from clinical trials, large registries or administrative databases. Use of multi-variable risk models at the time of hospital admission or discharge offers better risk stratification and should be encouraged, as it allows for appropriate allocation of existing resources and development of clinical tri...
The Center for Medicare and Medical Services in the United States compares hospital's readmission pe...
Objectives: This study sought to review the literature for risk prediction models in patients with h...
OBJECTIVES: This study sought to review the literature for risk prediction models in patients with h...
Each year, there are over one million hospitalizations for heart failure in the United States, with ...
Refer to the page 659-667 Heart failure (HF) is a common clinical syndrome with high mor-bidity and ...
Objectives: This study sought to review the literature for risk prediction models in patients wit...
Introduction From a prospective multicentre multicountry clinical trial, we developed and validated ...
Acute Heart Failure (AHF) is a " multi-event disease" and hospitalisation is a critical event in the...
Aims Several models for predicting the prognosis of heart failure (HF) patients have been developed,...
Patients with heart failure (HF) are hospitalized over a million times annually in the United States...
AimsReadmission rates for patients with heart failure have consistently remained high over the past ...
The present paper systematically reviews and compares existing prediction models in order to establi...
BackgroundHeart failure (HF) is the leading cause of hospitalization in people over age 65. Predicti...
ObjectivesThe aim of this study was to develop a clinical model predictive of in-hospital mortality ...
Aims: Several models for predicting the prognosis of heart failure (HF) patients have been developed...
The Center for Medicare and Medical Services in the United States compares hospital's readmission pe...
Objectives: This study sought to review the literature for risk prediction models in patients with h...
OBJECTIVES: This study sought to review the literature for risk prediction models in patients with h...
Each year, there are over one million hospitalizations for heart failure in the United States, with ...
Refer to the page 659-667 Heart failure (HF) is a common clinical syndrome with high mor-bidity and ...
Objectives: This study sought to review the literature for risk prediction models in patients wit...
Introduction From a prospective multicentre multicountry clinical trial, we developed and validated ...
Acute Heart Failure (AHF) is a " multi-event disease" and hospitalisation is a critical event in the...
Aims Several models for predicting the prognosis of heart failure (HF) patients have been developed,...
Patients with heart failure (HF) are hospitalized over a million times annually in the United States...
AimsReadmission rates for patients with heart failure have consistently remained high over the past ...
The present paper systematically reviews and compares existing prediction models in order to establi...
BackgroundHeart failure (HF) is the leading cause of hospitalization in people over age 65. Predicti...
ObjectivesThe aim of this study was to develop a clinical model predictive of in-hospital mortality ...
Aims: Several models for predicting the prognosis of heart failure (HF) patients have been developed...
The Center for Medicare and Medical Services in the United States compares hospital's readmission pe...
Objectives: This study sought to review the literature for risk prediction models in patients with h...
OBJECTIVES: This study sought to review the literature for risk prediction models in patients with h...