[HTML][HTML] 2019 ACC expert consensus decision pathway on risk assessment, management, and clinical trajectory of patients hospitalized with heart failure: a report of …

SM Hollenberg, L Warner Stevenson, T Ahmad… - Journal of the American …, 2019 - jacc.org
The American College of Cardiology (ACC) has a long history of developing documents (eg,
decision pathways, health policy statements, appropriate use criteria) to provide members …

Disposition of emergency department patients diagnosed with acute heart failure: an international emergency medicine perspective

Ò Miró, PD Levy, M Möckel, PS Pang… - European journal of …, 2017 - journals.lww.com
Many patients with acute heart failure are initially managed in emergency departments
(EDs) worldwide. Although some require hospitalization for further management, it is likely …

[HTML][HTML] Diagnosis of acute heart failure in the emergency department: an evidence-based review

B Long, A Koyfman, M Gottlieb - Western Journal of Emergency …, 2019 - ncbi.nlm.nih.gov
Heart failure is a common presentation to the emergency department (ED), which can be
confused with other clinical conditions. This review provides an evidence-based summary of …

Improving care for patients with acute heart failure: before, during and after hospitalization

MR Cowie, SD Anker, JGF Cleland, GM Felker… - ESC heart …, 2014 - Wiley Online Library
Acute heart failure (AHF) is a common and serious condition that contributes to about 5% of
all emergency hospital admissions in Europe and the USA. Here, we present the …

Predicting 30-day mortality for patients with acute heart failure in the emergency department: a cohort study

Ò Miró, X Rossello, V Gil… - Annals of internal …, 2017 - acpjournals.org
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 …

Human-machine collaboration for feature selection and integration to improve congestive Heart failure risk prediction

O Ben-Assuli, T Heart, R Klempfner, R Padman - Decision support systems, 2023 - Elsevier
The issue of harnessing machine learning (ML) algorithms for the prediction of adverse
medical events is important considering the prevalence of vast repositories of patient-level …

Acute coronary syndromes and acute heart failure: a diagnostic dilemma and high‐risk combination. A statement from the Acute Heart Failure Committee of the Heart …

VP Harjola, J Parissis, J Bauersachs… - European Journal of …, 2020 - Wiley Online Library
Acute coronary syndrome is a precipitant of acute heart failure in a substantial proportion of
cases, and the presence of both conditions is associated with a higher risk of short‐term …

Identification of emergency department patients with acute heart failure at low risk for 30-day adverse events: the STRATIFY decision tool

SP Collins, CA Jenkins, FE Harrell, D Liu, KF Miller… - JACC: Heart Failure, 2015 - jacc.org
Objectives: No prospectively derived or validated decision tools identify emergency
department (ED) patients with acute heart failure (AHF) at low risk for 30-day adverse events …

Use of machine learning to develop a risk-stratification tool for emergency department patients with acute heart failure

DR Sax, DG Mark, J Huang, O Sofrygin, JS Rana… - Annals of Emergency …, 2021 - Elsevier
Study objective We use variables from a recently derived acute heart failure risk-stratification
rule (STRATIFY) as a basis to develop and optimize risk prediction using additional patient …

Early management of patients with acute heart failure: state of the art and future directions. A consensus document from the society for academic emergency medicine …

S Collins, AB Storrow, NM Albert, J Butler… - Journal of cardiac …, 2015 - Elsevier
Heart failure (HF) afflicts nearly 6 million Americans, resulting in one million emergency
department (ED) visits and over one million annual hospital discharges. An aging population …