Aims Primary acute heart failure (AHF) is a common cause of hospitalization. AHF may also
develop postoperatively (pAHF). The aim of this study was to assess the incidence …

Aims Systemic inflammation may be central in the pathophysiology of acute heart failure
(AHF). We aimed to assess the possible role of systemic inflammation in the …

In this study, we propose machine learning (ML) for risk factors analysis and survival
prediction of Heart Failure (HF) patients using a survival dataset. Five supervised ML …

Introduction A considerable number of risk models, which predict outcomes in mortality and
readmission rates, have been developed for patients with acute heart failure (AHF) to help …

Background Albumin-based indices have been used to predict mortality after heart failure
(HF). We hereby examined the utility of albumin-globin ratio, lactate-albumin ratio, blood …

Aims We hypothesized that the current gold standard for risk stratification of patients with
acute heart failure (AHF), the Multiple Estimation of risk based on the Emergency …

Background To develop a prediction model for in-hospital mortality of patients with heart
failure (HF) and atrial fibrillation (AF). Methods This cohort study extracted the data of 10,236 …

Background Prognostic prediction in heart failure (HF) is challenging and no single marker
has proven effective. We propose an index based on B-type natriuretic peptide (BNP) and …

Background: Acute heart failure (AHF) is characterized by a complex pathophysiology. Aims:
This study aimed to evaluate the usefulness of combined serial measurements of N-terminal …

BACKGROUND Clinical outcomes are poor if patients with acute heart failure (AHF) are
discharged with residual congestion in the presence of renal dysfunction. However, there is …