A5007887590- Atrial Fibrillation Management and Outcomes
- Cardiac Arrhythmias and Treatments
- Cardiac Valve Diseases and Treatments
- Cardiovascular Function and Risk Factors
- Cardiac pacing and defibrillation studies
- Cardiac Imaging and Diagnostics
- Pulmonary Hypertension Research and Treatments
- Cardiovascular Effects of Exercise
- Climate Change and Health Impacts
- Respiratory Support and Mechanisms
- Cardiac, Anesthesia and Surgical Outcomes
- Cardiovascular Disease and Adiposity
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Heart Failure Treatment and Management
- Medical Image Segmentation Techniques
- Intensive Care Unit Cognitive Disorders
- Cardiovascular and Diving-Related Complications
- Erythropoietin and Anemia Treatment
- Airway Management and Intubation Techniques
- Advanced Neural Network Applications
- Cardiovascular and exercise physiology
- Aortic Disease and Treatment Approaches
- Antiplatelet Therapy and Cardiovascular Diseases
- Infective Endocarditis Diagnosis and Management
- Urinary Tract Infections Management
Mayo Clinic in Florida
2024-2025
Mayo Clinic in Arizona
2024-2025
University of Milan
2005-2025
Maria Cecilia Hospital
2024-2025
Mayo Clinic
2023-2024
Centro Cardiologico Monzino
2021-2024
WinnMed
2023
Policlinico Umberto I
2021
Sapienza University of Rome
2021
University of Bologna
2021
During the COVID-19 pandemic, use of protective masks has been essential to reduce contagions. However, public opinion is that there an associated subjective shortness breath. We evaluated cardiorespiratory parameters at rest and during maximal exertion highlight any differences with masks. 12 healthy subjects performed three identical cardiopulmonary exercise tests, one without wearing a mask, surgical mask filtering face piece particles class 2 (FFP2) mask. Dyspnoea was assessed using Borg...
We measured oxygen consumption (VO2) during spontaneous breathing with continuous positive airway pressure (CPAP), assist control ventilation (AC), and muscle relaxation (AC-MR) in eight patients undergoing resuscitation from cardiopulmonary failure. VO2 decreased all between CPAP AC-MR; mean (255 +/- 92 ml/min) on exceeded that AC-MR (209 79 (p < 0.005). Compared CPAP, AC without MR reduced five of (227 59 tended to decrease = 0.14); clinical examination did not distinguish requiring reduce...
To develop an efficient and automated method for selecting appropriate coronary angiography videos training deep learning models, thereby improving the accuracy efficiency of medical image analysis. We developed models using 232 angiographic studies from Mayo Clinic. utilized 2 state-of-the-art convolutional neural networks (CNN: ResNet X3D) to identify low-quality angiograms through binary classification (satisfactory/unsatisfactory). Ground truth quality input angiogram was determined by...
Background Stroke remains a concern after transcatheter aortic valve replacement (TAVR). Several studies attempted to identify correlates of stroke but there need for better predictors. Objective This study aims characterize the arch potential TAVR using patient cohort that includes cases with and without stroke. Methods A retrospective analysis was performed on 52 patients who underwent at Mayo Clinic Maria Cecilia Hospital. Of these patients, 26 had did not (control). Anatomical...
<h3>Background</h3> Pill-in-the-pocket treatment should be prescribed only if the administration of a loading oral dose flecainide or propafenone has been proved safe in hospital, since major adverse effects have reported 5% patients during in-hospital treatment. However, emergency rooms, these drugs for conversion atrial fibrillation (AF) is very rarely used because it time consuming. <h3>Objective</h3> To investigate whether tolerance to intravenous might predict safety pill-in-the-pocket...
Acute ischemic stroke complicates 2% to 3% of transcatheter aortic valve replacements (TAVRs). This study aimed identify the anatomic correlates in patients after TAVR stroke.
The review by Liu et al elegantly summarizes the pathophysiology and clinical burden of cirrhotic cardiomyopathy (CCM).(1Liu H. Naser J.A. Lin G. al.Cardiomyopathy in cirrhosis: From to care.JHEP Reports. 2024; 6100911Abstract Full Text PDF Scopus (3) Google Scholar) We aim highlight complex dynamic interactions between liver heart. First, CCM can be considered end-stage with multiple causes, including coronary artery disease (CAD), various diseases are associated CAD. Notably, metabolic...
Device-related thrombosis (DRT) occurs in up to 4% of patients undergoing left atrial appendage occlusion (LAAO) and is associated with substantial morbidity mortality. However, its pathophysiology, predictors, optimal management remain unclear.
Nineteen consecutive patients with apical hypertrophic cardiomyopathy and aneurysm underwent a comprehensive echo-Doppler including continuous wave Doppler at midventricular level. Three different flow patterns, pattern A (more frequent), B, C, expression of intracavitary pressure gradients were defined. (Level Difficulty: Intermediate.).
The ADVANTAGE 2 prospective study showed in 156 patients with stents that dynamic stress CT perfusion improves diagnostic accuracy for the detection of territory-based ischemia beyond coronary angiography.
To optimise treatment of patients with pulmonary arterial hypertension (PAH), the 2015 European Society Cardiology/European Respiratory guidelines recommend using risk stratification, aim achieving low-risk status. Previous analyses registries made progress in stratification approaches, however, focus is often on a prognosis, whereas most PAH are intermediate-risk or high-risk categories. Using only six parameters high prognostic relevance, we aimed to demonstrate pragmatic approach...
Abstract Background Research leveraging deep learning (DL) for medical image analysis is increasingly using dynamic coronary angiography from cardiac catheterizations to train neural networks. Yet, an efficient, automatic method select appropriate images training still largely missing. Methods We developed DL models 254 angiographic studies the Mayo Clinic. utilized two state-of-the-art Convolutional Neural Networks (CNN: ResNet and X3D), identify low quality angiograms through binary...