Acute Biventricular Mechanical Circulatory Support for Cardiogenic Shock
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2017 BackgroundBiventricular failure is associated with high in‐hospital mortality. Limited data regarding the efficacy of biventricular Impella axial flow catheters (BiPella) support for biventricular failure exist.
Sudeep Kuchibhotla +12 more
doaj +1 more source
Mechanical Circulatory Support in Women [PDF]
Journal of Cardiology, 2021 A number of devices can now provide mechanical circulatory support (MCS) to patients with acute cardiogenic shock (CS) and chronic end-stage heart failure (HF). Women differ from men in pathophysiology and natural history of CS and HF, and are usually sicker at admission.
Sandeep Dayanand +3 more
openaire +3 more sources
Single Lung Retransplantation for Graft Infarction due to Herniation of Heart
The Thoracic & Cardiovascular Surgeon Reports, 2013 A young woman with terminal respiratory failure due to idiopathic pulmonary hypertension underwent bilateral lung transplantation. The postoperative course was complicated by herniation of the heart through over the cut pericardial edge on left side ...
Prashant N. Mohite +4 more
doaj +1 more source
Influence of shear rate and surface chemistry on thrombus formation in micro-crevice [PDF]
Journal of Biomechanics, Volume 121, 2021, 110397, ISSN 0021-9290, 2020 Thromboembolic complications remain a central issue in management of patients on mechanical circulatory support. Despite the best practices employed in design and manufacturing of modern ventricular assist devices, complexity and modular nature of these systems often introduces internal steps and crevices in the flow path which can serve as nidus for ...
arxiv +1 more source
Viscoelastic Testing in Pediatric Mechanical Circulatory Support
Frontiers in Medicine, 2022 Pediatric mechanical circulatory support can be lifesaving. However, managing anticoagulation is one of the most challenging aspects of care in patients requiring mechanical circulatory support.
Katherine Regling +2 more
doaj +1 more source
Mechanical Circulatory Support for Right Ventricular Failure
Cardiac Failure Review, 2022 Right ventricular (RV) failure is associated with significant morbidity and mortality, with in-hospital mortality rates estimated as high as 70–75%. RV failure may occur following cardiac surgery in conjunction with left ventricular failure, or may be ...
Ersilia M DeFilippis +5 more
doaj +1 more source
A Novel Tropical Geometry-based Interpretable Machine Learning Method: Application in Prognosis of Advanced Heart Failure [PDF]
, 2021 A model's interpretability is essential to many practical applications such as clinical decision support systems. In this paper, a novel interpretable machine learning method is presented, which can model the relationship between input variables and responses in humanly understandable rules.
arxiv +1 more source
Predicting post-operative right ventricular failure using video-based deep learning [PDF]
Nat Commun 12, 5192 (2021), 2021 Non-invasive and cost effective in nature, the echocardiogram allows for a comprehensive assessment of the cardiac musculature and valves. Despite progressive improvements over the decades, the rich temporally resolved data in echocardiography videos remain underutilized. Human reads of echocardiograms reduce the complex patterns of cardiac wall motion,
arxiv +1 more source
Fully Elman Neural Network: A Novel Deep Recurrent Neural Network Optimized by an Improved Harris Hawks Algorithm for Classification of Pulmonary Arterial Wedge Pressure [PDF]
IEEE Transactions on Biomedical Engineering, 2022, 2023 Heart failure (HF) is one of the most prevalent life-threatening cardiovascular diseases in which 6.5 million people are suffering in the USA and more than 23 million worldwide. Mechanical circulatory support of HF patients can be achieved by implanting a left ventricular assist device (LVAD) into HF patients as a bridge to transplant, recovery or ...
arxiv +1 more source
Accelerometry-based classification of circulatory states during out-of-hospital cardiac arrest [PDF]
, 2022 Objective: Exploit accelerometry data for an automatic, reliable, and prompt detection of spontaneous circulation during cardiac arrest, as this is both vital for patient survival and practically challenging. Methods: We developed a machine learning algorithm to automatically predict the circulatory state during cardiopulmonary resuscitation from 4 ...
arxiv +1 more source