Results 241 to 250 of about 88,489 (340)

Human Atrial Natriuretic Peptide

open access: bronze, 1986
A. J. G. Riegger   +2 more
openalex   +1 more source

Cis-Active Determinants of Cardiac-Specific Expression in the Human Atrial Natriuretic Peptide Gene [PDF]

open access: bronze, 1991
Jiangping Wu   +4 more
openalex   +1 more source

Relevance of residual tricuspid regurgitation for right ventricular reverse remodelling after tricuspid valve intervention in patients with severe tricuspid regurgitation and right‐sided heart failure

open access: yesEuropean Journal of Heart Failure, EarlyView.
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

The prognostic value of the Dandel's index in patients undergoing tricuspid transcatheter edge‐to‐edge repair

open access: yesEuropean Journal of Heart Failure, EarlyView.
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

Coexisting transthyretin and atrial natriuretic peptide amyloid on left atrium in transthyretin amyloid cardiomyopathy. [PDF]

open access: yesJ Cardiol Cases
Kuyama N   +9 more
europepmc   +1 more source

Machine learning approach to identify phenotypes in patients with ischaemic heart failure with reduced ejection fraction

open access: yesEuropean Journal of Heart Failure, EarlyView.
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

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