Background: Physicians in the emergency department (ED) need additional tools to stratify patients with acute heart failure (AHF) according to risk. Objective: To predict mortality using data that are readily available at ED admission. Design: Prospective cohort study. Setting: 34 Spanish EDs. Participants: The derivation cohort included 4867 consecutive ED patients admitted during 2009 to 2011. The validation cohort comprised 3229 patients admitted in 2014. Measurements: 88 candidate risk factors and 30-day mortality. Results: Thirteen independent risk factors were identified in the derivation cohort and were combined into an overall score, the MEESSI-AHF (Multiple Estimation of risk based on the Emergency department Spanish Score In patie...
Heart failure is a global public health challenge frequently presenting to the emergency department....
Aims: Estimating the prognosis in heart failure (HF) is important to decide when to refer to palliat...
<p>Aims: Using a large international database from multiple cohort studies, the aim is to crea...
Background: Improved risk stratification of acute heart failure in the emergency department may info...
OBJECTIVES: No prospectively derived or validated decision tools identify emergency department (ED) ...
Background: Heart failure contributes to millions of emergency department (ED) visits, but hospitali...
Background The MEESSI-AHF (Multiple Estimation of risk based on the Emergency department Spanish Sc...
© 2017 The Author(s). The primary aim of this prospective study is to develop and validate a new pro...
Study objective: We assess the value of the Barthel Index (BI) in predicting 30-day mortality risk a...
Identification of clinical factors that can predict mortality and hospital early readmission in acut...
INTRODUCTION AND OBJECTIVES: The MEESSI scale stratifies acute heart failure (AHF) patients at the e...
Acute heart failure (AHF) is a major public health issue due to high incidence and poor prognosis. O...
Introduction: The purpose of this study was to validate and assess the performance of the Emergency ...
Introduction Hospital admissions for heart failure (HF) are frequent and pose a heavy burden on heal...
BACKGROUND: The aim of this study was to describe the prevalence and prognostic value of the most co...
Heart failure is a global public health challenge frequently presenting to the emergency department....
Aims: Estimating the prognosis in heart failure (HF) is important to decide when to refer to palliat...
<p>Aims: Using a large international database from multiple cohort studies, the aim is to crea...
Background: Improved risk stratification of acute heart failure in the emergency department may info...
OBJECTIVES: No prospectively derived or validated decision tools identify emergency department (ED) ...
Background: Heart failure contributes to millions of emergency department (ED) visits, but hospitali...
Background The MEESSI-AHF (Multiple Estimation of risk based on the Emergency department Spanish Sc...
© 2017 The Author(s). The primary aim of this prospective study is to develop and validate a new pro...
Study objective: We assess the value of the Barthel Index (BI) in predicting 30-day mortality risk a...
Identification of clinical factors that can predict mortality and hospital early readmission in acut...
INTRODUCTION AND OBJECTIVES: The MEESSI scale stratifies acute heart failure (AHF) patients at the e...
Acute heart failure (AHF) is a major public health issue due to high incidence and poor prognosis. O...
Introduction: The purpose of this study was to validate and assess the performance of the Emergency ...
Introduction Hospital admissions for heart failure (HF) are frequent and pose a heavy burden on heal...
BACKGROUND: The aim of this study was to describe the prevalence and prognostic value of the most co...
Heart failure is a global public health challenge frequently presenting to the emergency department....
Aims: Estimating the prognosis in heart failure (HF) is important to decide when to refer to palliat...
<p>Aims: Using a large international database from multiple cohort studies, the aim is to crea...