Results 271 to 280 of about 2,058,358 (352)
Markers of progression to heart failure (HF). Gal‐4, galectin‐4; GDF‐15, growth differentiation factor 15; NT‐proBNP, N‐terminal pro‐B‐type natriuretic peptide; ST2, suppression of tumorigenicity‐2. ABSTRACT Aims Biomarkers associated with asymptomatic ventricular dysfunction might improve risk stratification and identify pathways leading to heart ...
Anna Dieden+23 more
wiley +1 more source
Frontal Plane QRS - T Angle Is a Predictor of Ventricular Arrhythmia in Heart Failure With Preserved Ejection Fraction. [PDF]
Zorlu Ç, Açıkel B, Ömür SE.
europepmc +1 more source
Is diastolic heart failuresynonymous with heart failure with preserved ejection fraction? [PDF]
Kessler, Kenneth M
core +1 more source
Relationship Between Epicardial Adipose Tissue and Atrial Fibrillation in Heart Failure With Preserved Ejection Fraction. [PDF]
Yucel O.
europepmc +1 more source
Right ventricular reverse remodelling after transcatheter tricuspid valve intervention (TTVI). Optimal tricuspid regurgitation (TR) reduction is critical for right ventricular reverse remodelling. CMR, cardiac magnetic resonance; echo, echocardiography; RV EDV, right ventricular end‐diastolic volume. Abstract Aims Right ventricular reverse remodelling (
Ludwig T. Weckbach+16 more
wiley +1 more source
Exploring the impact of metabolic comorbidities on epicardial adipose tissue in heart failure with preserved ejection fraction. [PDF]
Menghoum N+34 more
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Load adaptation indices and concepts. An adapted RV in response to overload increases wall thickness to normalize wall stress and preserve function and morphology. If hemodynamic overload is sustained, it can progress to a maladaptive state and lead eventually to heart failure. CI, cardiac index; Ees, ventricular elastance; Ea, arterial elastance; MPAP,
Mohammad Kassar+39 more
wiley +1 more source
Effectiveness of Empagliflozin in Treating Patients With Heart Failure With Preserved Ejection Fraction: A Systematic Review. [PDF]
Al-Saud SA.
europepmc +1 more source
Summary of the machine learning clustering methodology and results of the study. Clusters are identified using machine learning approach in the learning set population evaluating specific combinations of multiple characteristics. Then identified clusters are predicted and tested in the learning set to evaluate their association with outcomes.
Luca Monzo+11 more
wiley +1 more source