Results 21 to 30 of about 409,490 (311)

Impact of digital monitoring on compliance and outcome of lifestyle-change measures in patients with coexistent atrial fibrillation and obesity

Cardiovascular Digital Health Journal, 2022
Introduction: Obesity, a known risk factor for atrial fibrillation (AF), is potentially reversible through lifestyle changes, including diet and physical activity. However, lack of compliance is a major obstacle in attaining sustained weight loss.
Sanghamitra Mohanty, MD, FHRS, Chintan Trivedi, MD, MPH, FHRS, Domenico Giovanni Della Rocca, MD, Carola Gianni, MD, Bryan MacDonald, MD, Angel Mayedo, MD, SaiShishir Shetty, DPharm, MHI, Eleanora Natale, HSGrad, John D. Burkhardt, MD, FHRS, Mohamed Bassiouny, MD, G. Joseph Gallinghouse, MD, Rodney Horton, MD, Amin Al-Ahmad, MD, FHRS, Andrea Natale, MD, FACC, FHRS, FESC   +13 more
doaj   +1 more source

Change in cycle length during pacemaker‐mediated tachycardia: What is the mechanism?

Clinical Case Reports, 2021
A thorough understanding of advanced device algorithms designed to promote intrinsic atrioventricular conduction is mandatory to allow appropriate management of arrhythmias induced by pacing, particularly when other types of tachycardia are involved.
Guilherme Fenelon, Luiz Carlos Paul, Frederico Scuotto, Claudio Cirenza, Marcelo Franken   +4 more
doaj   +1 more source

Outcomes of Patients Hospitalized With Cardiovascular Implantable Electronic Device–Related Infective Endocarditis, Prosthetic Valve Endocarditis, and Native Valve Endocarditis: A Nationwide Study, 2003 to 2017

Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2022
Background Most published reports describing outcomes of patients with cardiovascular implantable electronic device–related infective endocarditis (CIED‐IE) are single‐center studies with small patient sample sizes.
Pegah Khaloo, Uwajachukwumma A. Uzomah, Ayman Shaqdan, Pablo A. Ledesma, Jennifer Galvin, Leon M. Ptaszek, Jeremy N. Ruskin   +6 more
doaj   +1 more source

Outcomes of Patients With Takotsubo Syndrome Compared With Type 1 and Type 2 Myocardial Infarction

Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2023
Background Takotsubo syndrome (TS) and myocardial infarction (MI) share similar clinical and laboratory characteristics but have important differences in causes, demographics, management, and outcomes. Methods and Results In this observational study, the
Pegah Khaloo, Pablo A. Ledesma, Acile Nahlawi, Jennifer Galvin, Leon M. Ptaszek, Jeremy N. Ruskin   +5 more
doaj   +1 more source

Left atrial appendage closure with zero fluoroscopic exposure via intracardiac echocardiographic guidance

Journal of the Formosan Medical Association, 2020
Background/Purpose: Left atrial appendage closure (LAAC) is conventionally guided by fluoroscopy and transesophageal echocardiography. We introduce an LAAC technique without fluoroscopy exposure using intracardiac echocardiography (ICE) and ...
Huimin Chu, Xianfeng Du, Caijie Shen, Bin He, Mingjun Feng, Jing Liu, Guohua Fu, Binhao Wang   +7 more
doaj   +1 more source

Prevalence, predictors and management of left atrial appendage thrombogenic milieu in atrial fibrillation with low thromboembolic risk

Thrombosis Journal, 2023
Background The present study aimed to investigate the prevalence, predictors, and management of left atrial appendage (LAA) thrombogenic milieu (TM) identified with transesophageal echocardiography (TEE) in non-valvular atrial fibrillation (NVAF ...
Yu Qiao, Zhen Zhao, Xiang Cai, Yulong Guo, Ke Liu, Jinrui Guo, Tao Guo, Guodong Niu   +7 more
doaj   +1 more source

COVID-19 and cardiac arrhythmias: a global perspective on arrhythmia characteristics and management strategies

Journal of interventional cardiac electrophysiology, 2020
Background Cardiovascular and arrhythmic events have been reported in hospitalized COVID-19 patients. However, arrhythmia manifestations and treatment strategies used in these patients have not been well-described.
R. Gopinathannair, Faisal M. Merchant, Dhanunjaya R. Lakkireddy, S. Etheridge, Suzy Feigofsky, Janet K. Han, Rajesh Kabra, A. Natale, Stacy M. Poe, S. Saha, A. Russo   +10 more
semanticscholar   +1 more source

Machine Learning in Arrhythmia and Electrophysiology.

Circulation Research, 2021
Machine learning (ML), a branch of artificial intelligence, where machines learn from big data, is at the crest of a technological wave of change sweeping society.
N. Trayanova, D. Popescu, J. Shade
semanticscholar   +1 more source

Distinctive characteristics of His bundle potentials in patients with atrioventricular nodal reentrant tachycardia

Cardiology Journal, 2023
BACKGROUND: His bundle (HB) potentials vary in amplitude and duration in patients with and without slow pathways. The aim of this study was to determine the characteristics of HB potentials and to elucidate whether they can provide clues for ...
Fu Guan, Ardan M. Saguner, Daniel Hofer, Thomas Wolber, Alexander Breitenstein, Nazmi Krasniqi, Urs Eriksson, Jan Steffel, Corinna Brunckhorst, Firat Duru   +9 more
doaj   +1 more source

ECG Arrhythmia Classification Using STFT-Based Spectrogram and Convolutional Neural Network

IEEE Access, 2019
The classification of electrocardiogram (ECG) signals is very important for the automatic diagnosis of heart disease. Traditionally, it is divided into two steps, including the step of feature extraction and the step of pattern classification.
Jingshan Huang, Binqiang Chen, Bin Yao, Wangpeng He   +3 more
semanticscholar   +1 more source