Results 11 to 20 of about 881,500 (386)

Valvular Heart Disease Epidemiology

open access: yesMedical Sciences, 2022
Valvular heart disease is a rapidly growing cause of global cardiovascular morbidity and mortality with diverse and evolving geographic distribution.
John Sukumar Aluru   +4 more
doaj   +2 more sources

Heart Disease and Stroke Statistics—2023 Update: A Report From the American Heart Association

open access: yesCirculation, 2023
Background: The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking,
C. Tsao   +42 more
semanticscholar   +1 more source

Heart Disease and Stroke Statistics—2022 Update: A Report From the American Heart Association

open access: yesCirculation, 2022
Background: The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking,
C. Tsao   +39 more
semanticscholar   +1 more source

2020 ACC/AHA Guideline for the Management of Patients With Valvular Heart Disease: Executive Summary: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines.

open access: yesCirculation, 2020
AIM This executive summary of the valvular heart disease guideline provides recommendations for clinicians to diagnose and manage valvular heart disease as well as supporting documentation to encourage their use.
C. Otto   +14 more
semanticscholar   +2 more sources

Heart Disease and Stroke Statistics-2021 Update: A Report From the American Heart Association.

open access: yesCirculation, 2021
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking,
S. Virani   +38 more
semanticscholar   +1 more source

Mixed Valvular Disease Following Transcatheter Aortic Valve Replacement: Quantification and Systematic Differentiation Using Clinical Measurements and Image-Based Patient‐Specific In Silico Modeling [PDF]

open access: yes, 2020
Background: Mixed valvular disease (MVD), mitral regurgitation (MR) from pre‐existing disease in conjunction with paravalvular leak (PVL) following transcatheter aortic valve replacement (TAVR), is one of the most important stimuli for left ventricle (LV)
Amrute, Junedh M.   +13 more
core   +1 more source

Incidence and predictors of left atrial appendage thrombus on transesophageal echocardiography before elective cardioversion

open access: yesScientific Reports, 2022
Guidelines recommend transesophageal echocardiography (TEE) before cardioversion in thrombogenic arrhythmias when the requirement of ≥ 3 weeks of anticoagulation is not met.
Felix K. Wegner   +8 more
doaj   +1 more source

Feasibility study of temporary permanent pacemaker in patients with conduction block after TAVR

open access: yesFrontiers in Cardiovascular Medicine, 2023
BackgroundLimited data exist on the use of temporary permanent pacemaker (TPPM) to reduce unnecessary PPM in patients with high-degree atrioventricular block (HAVB) after transcatheter aortic valve replacement (TAVR).ObjectivesThis study aims to ...
Sanshuai Chang   +16 more
doaj   +1 more source

Heart Disease and Stroke Statistics—2020 Update: A Report From the American Heart Association

open access: yesCirculation, 2020
Background: The American Heart Association, in conjunction with the National Institutes of Health, annually reports on the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors ...
S. Virani   +40 more
semanticscholar   +1 more source

Utility of deep learning networks for the generation of artificial cardiac magnetic resonance images in congenital heart disease

open access: yesBMC Medical Imaging, 2020
Background Deep learning algorithms are increasingly used for automatic medical imaging analysis and cardiac chamber segmentation. Especially in congenital heart disease, obtaining a sufficient number of training images and data anonymity issues remain ...
Gerhard-Paul Diller   +11 more
doaj   +1 more source

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