Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1213/ANE.0b013e3181e9f64f | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Usefulness of preprocedural 3-dimensional computed tomography planning in assisting one-stage pulmonary veins isolation with concomitant left atrial appendage occlusion procedure: A pilot study.
Int J Cardiol Heart Vasc
February 2025
Division of Cardiovascular Medicine, Department of Medicine, China Medical University Hospital, China Medical University, Taichung 404327, Taiwan.
Background: The optimal imaging modality for selecting the device size in patients with atrial fibrillation undergoing one-stop left atrial appendage occlusion (LAAO) with concomitant pulmonary vein isolation (PVi) remains undefined. We compared preprocedural 3-dimensional computed tomography (3D CT) with intra-procedural transesophageal echocardiography (TEE) and left atrial appendage (LAA) angiography in guiding one-stage PVi and LAAO.
Methods: We measured the LAA ostium diameter using an interactive 3D CT system with a central line-based approach and compared these measurements with those from intra-procedural TEE and angiography, and the actual device size.
Association Between Venous Mesenteric Thrombosis and Plasminogen Activator Inhibitor-1 Mutation.
Cureus
December 2024
Internal Medicine Department, Hospital Beatriz Ângelo, ULS Loures Odivelas, Loures, PRT.
Plasminogen activator inhibitor-1 (PAI-1) is central to fibrinolysis regulation, and genetic variants such as the 4G/4G genotype predispose individuals to hypercoagulability. This case highlights a 46-year-old female patient presenting with acute mesenteric venous thrombosis, where genetic evaluation revealed homozygosity for the PAI-1 4G/4G polymorphism. Management with unfractionated heparin followed by a transition to direct oral anticoagulants led to clinical resolution.
View Article and Find Full Text PDFLigating the varicose vein trunk for bleeding stomal varices in portal hypertension: a case report.
Front Med (Lausanne)
January 2025
Department of General Surgery, Shanghai Fengxian District Central Hospital, Shanghai, China.
Introduction: In colostomy-related complications, variceal hemorrhage particularly induced by cirrhosis and portal hypertension is seldom encountered. The onset of peristome variceal hemorrhage necessitates swift and effective intervention to prevent potentially life-threatening outcomes such as hemorrhagic shock and recurrent stoma bleeding.
Case Presentation: This report details a case of repeated varicose vein hemorrhage around the stoma in a patient with liver cirrhosis.
Positive end-expiratory pressure increases intracranial pressure but not pressure reactivity index in supine and prone positions: a porcine model study.
Front Med (Lausanne)
January 2025
Department of Clinical Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway.
Introduction: Positive end-expiratory pressure (PEEP) and prone positioning can improve gas exchange by promoting uniform lung aeration. However, elevated ventilation pressures may increase intracranial pressure (ICP) and disrupt cerebral autoregulation. This study investigated the effects of PEEP on ICP and cerebral autoregulation in a porcine model with healthy lungs and normal ICP, comparing prone and supine positions.
View Article and Find Full Text PDFIntegrating deep learning in public health: a novel approach to PICC-RVT risk assessment.
Front Public Health
January 2025
Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Background: Machine learning is pivotal for predicting Peripherally Inserted Central Catheter-related venous thrombosis (PICC-RVT) risk, facilitating early diagnosis and proactive treatment. Existing models often assess PICC-RVT risk as static and discrete outcomes, which may limit their practical application.
Objectives: This study aims to evaluate the effectiveness of seven diverse machine learning algorithms, including three deep learning and four traditional machine learning models, that incorporate time-series data to assess PICC-RVT risk.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!