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ESC Heart Failure, Volume 12, Issue 2, Page 980-997, April 2025.Abstract Heart failure (HF) creates a considerable clinical, humanistic and economic burden on patients and caregivers as well as on healthcare systems. To attenuate the significant burden of HF, there is a need for enhanced management of patients with HF.
Javed Butler +8 more
wiley +1 more source
Український журнал серцево-судинної хірургіїIntroduction. Heart failure (HF) is a global health concern characterized by significant morbidity and mortality, often associated with chronic systemic inflammation.
Daniel Susilo Lawrence +6 more
doaj +1 more source
Metformin in the management of patients with diabetes and advanced heart failure (HFrEF): a propensity score-matched analysis [PDF]
, 2022 Jan Beneš +12 more
openalex +1 more source
Dynamic changes and prognostic value of pulmonary congestion by lung ultrasound in acute and chronic heart failure: a systematic review [PDF]
, 2017 Aims: Pulmonary congestion is an important finding in patients with heart failure (HF) that can be quantified by lung ultrasound (LUS). We conducted a systematic review to describe dynamic changes in LUS findings of pulmonary congestion (B-lines) in ...
Al Deeb +29 more
core +1 more source
ESC Heart Failure, Volume 12, Issue 2, Page 998-1012, April 2025.In patients with Acute Myocardial Infarction related heart failure, the in‐hospital administration of ARNIs was associated with a reduced risk of MACEs and re‐hospitalizations for heart failure, as well as cardiac remodeling, compared to standard therapy.
Gianluca Di Pietro +15 more
wiley +1 more source
Novel pathways of heart failure with preserved ejection fraction [PDF]
, 2016 INTRODUCTION: Diastolic heart failure (HF) i.e., HF with preserved ejection fraction (HFpEF) accounts for ~50% of all clinical HF presentations; but unlike systolic HF i.e., HF with reduced ejection fraction (HFrEF), there are no evidenced based ...
Li, Shanpeng
core +2 more sources
The role of machine learning in the modern management of heart failure
Cardiologia HungaricaIntroduction: The use of machine learning is exploding in all areas of healthcare, including the diagnosis and treatment of heart failure. Supervised machine learning can help predict the onset of heart failure, establish the diagnosis, and even predict ...
Gáspár Dániel +9 more
doaj +1 more source
Journal of Cardiovascular Pharmacology and Therapeutics, 2022 Aim: Changes in QRS duration in patients with heart failure with reduced ejection fraction (HFrEF) after sacubitril/valsartan therapy is not fully understood.
Po-Lin Lin MD +8 more
doaj +1 more source
Inflammation-Based Scores as a Common Tool for Prognostic Assessment in Heart Failure or Cancer
Frontiers in Cardiovascular Medicine, 2021 Background: Inflammation-based scores are widely tested in cancer and have been evaluated in cardiovascular diseases including heart failure.Objectives: We investigated the impact of established inflammation-based scores on disease severity and survival ...
Henrike Arfsten +15 more
doaj +1 more source
Heart failure with preserved ejection fraction. [PDF]
, 2012 Heart failure with preserved ejection fraction (HFpEF) has recently emerged as a major cause of cardiovascular morbidity and mortality. Contrary to initial beliefs, HFpEF is now known to be as common as heart failure with reduced ejection fraction (HFrEF)
ElGuindy, A, Yacoub, MH
core +1 more source