Echocardiographic assessment of a novel blood-guiding accessory for left ventricular assist devices in swine. [PDF]
Galbas MC +6 more
europepmc +1 more source
Beyond Traditional Screening: The Future of Heart Failure Detection With Biomarkers and AI
Advancing HF Screening: Integrating Technology and Risk Factors Across Eras. This diagram provides a comprehensive review of the historical developments and projected trends of heart failure (HF) screening methodologies, with the prevalent risk factors for HF depicted at the base.
Xiaofeng Fang +9 more
wiley +1 more source
Implementing a Programmatic Approach to Identify and Promote Ventricular Recovery in Pediatric Patients Supported With Ventricular Assist Devices. [PDF]
Montgomery CM +18 more
europepmc +1 more source
A compendium of extracellular vesicle biogenesis inhibitors: From bench to bedside
This review explores a decade of research on extracellular vesicles (EVs), detailing their biogenesis and roles in health and disease. It emphasizes EVs' relevance for potential medical applications covering various conditions such as cancer, neurodegeneration, inflammation, and infectious diseases, bridging experimental findings with clinical ...
Stefano Vecchione +2 more
wiley +1 more source
Hemodynamic consequences of pressure-flow curve gradient variations in continuous-flow ventricular assist devices. [PDF]
Yang Y, Wang Z, Xie Z, Yu S, Zou L.
europepmc +1 more source
Abstract Background Left atrial enlargement (LAE) is predictive of cardiovascular morbidity and mortality. Prior studies of point‐of‐care ultrasound (POCUS) interpretation methods for identifying LAE utilized older echocardiographic reference ranges. Objectives Compare the test characteristics of hospitalist‐performed POCUS techniques for identifying ...
Christopher J. Smith +7 more
wiley +1 more source
A multicomponent cardiac rehabilitation programme as a safe, feasible, and beneficial approach, including patients with left ventricular assist devices: a case report. [PDF]
Salinas-Gonzalez R +4 more
europepmc +1 more source
Early prediction of multiple organ failure for sepsis patients based on machine learning algorithms
Abstract In recent years, there has been a notable rise in sepsis incidence leading to more multiple organ failure and higher mortality. The lack of effective treatments for sepsis highlights the importance of early prediction in preventing multiple organ failure. This study aimed to develop a model for the early prediction of multiple organ failure in
Runnan He +11 more
wiley +1 more source
Diaphragm Training in Patients With Left Ventricular Assist Devices: A Narrative Review of Rehabilitation and Clinical Implications. [PDF]
Bordoni B, Morabito B, Escher AR.
europepmc +1 more source
ABSTRACT Background Poor cardiac MR image quality can prompt repeat examinations and hinder clinical decision‐making. Purpose To evaluate whether pre‐imaging clinical information, extracted using a large language model (LLM), is independently associated with cardiac MR image quality. Study Type Retrospective.
Hong Yu +6 more
wiley +1 more source

