[HTML][HTML] Optimizing lead placement for pacing in dyssynchronous heart failure: the patient in the lead
Cardiac resynchronisation therapy (CRT) greatly reduces morbidity and mortality in patients
with dyssynchronous heart failure. However, despite tremendous effort, response has been …
with dyssynchronous heart failure. However, despite tremendous effort, response has been …
Atrioventricular dromotropathy: evidence for a distinctive entity in heart failure with prolonged PR interval?
FCWM Salden, V Kutyifa, M Stockburger… - EP …, 2018 - academic.oup.com
Heart failure (HF) is often accompanied by atrioventricular (AV) conduction disturbance,
represented by prolongation of the PR interval on the electrocardiogram. Studies suggest …
represented by prolongation of the PR interval on the electrocardiogram. Studies suggest …
Machine learning prediction of response to cardiac resynchronization therapy: improvement versus current guidelines
AK Feeny, J Rickard, D Patel, S Toro… - Circulation …, 2019 - Am Heart Assoc
Background: Cardiac resynchronization therapy (CRT) has significant nonresponse rates.
We assessed whether machine learning (ML) could predict CRT response beyond current …
We assessed whether machine learning (ML) could predict CRT response beyond current …
ALternate Site Cardiac ResYNChronization (ALSYNC): a prospective and multicentre study of left ventricular endocardial pacing for cardiac resynchronization therapy
Abstract Aims The ALternate Site Cardiac ResYNChronization (ALSYNC) study evaluated
the feasibility and safety of left ventricular endocardial pacing (LVEP) using a market …
the feasibility and safety of left ventricular endocardial pacing (LVEP) using a market …
Adaptive versus conventional cardiac resynchronisation therapy in patients with heart failure (AdaptResponse): a global, prospective, randomised controlled trial
Background Continuous automatic optimisation of cardiac resynchronisation therapy (CRT),
stimulating only the left ventricle to fuse with intrinsic right bundle conduction (synchronised …
stimulating only the left ventricle to fuse with intrinsic right bundle conduction (synchronised …
Refining success of cardiac resynchronization therapy using a simple score predicting the amount of reverse ventricular remodelling: results from the Markers and …
AH Maass, K Vernooy, SC Wijers, J van't Sant… - Ep …, 2018 - academic.oup.com
Aims Cardiac resynchronization therapy (CRT) reduces morbidity and mortality in systolic
heart failure patients with ventricular conduction delay. Variability of individual response to …
heart failure patients with ventricular conduction delay. Variability of individual response to …
Monolithic silicon for high spatiotemporal translational photostimulation
Electrode-based electrical stimulation underpins several clinical bioelectronic devices,
including deep-brain stimulators, and cardiac pacemakers. However, leadless multisite …
including deep-brain stimulators, and cardiac pacemakers. However, leadless multisite …
[HTML][HTML] Feasibility and outcomes of upgrading to left bundle branch pacing in patients with pacing-induced cardiomyopathy and infranodal atrioventricular block
Y Ye, S Wu, L Su, X Sheng, J Zhang, B Wang… - Frontiers in …, 2021 - frontiersin.org
His bundle pacing (HBP) can reverse left ventricular (LV) remodeling in patients with right
ventricular (RV) pacing-induced cardimyopathy (PICM) but may be unable to correct …
ventricular (RV) pacing-induced cardimyopathy (PICM) but may be unable to correct …
Machine learning prediction of cardiac resynchronisation therapy response from combination of clinical and model-driven data
S Khamzin, A Dokuchaev, A Bazhutina… - Frontiers in …, 2021 - frontiersin.org
Background: Up to 30–50% of chronic heart failure patients who underwent cardiac
resynchronization therapy (CRT) do not respond to the treatment. Therefore, patient …
resynchronization therapy (CRT) do not respond to the treatment. Therefore, patient …
Electrocardiogram-based deep learning improves outcome prediction following cardiac resynchronization therapy
PC Wouters, RR van de Leur, MB Vessies… - European Heart …, 2023 - academic.oup.com
Aims This study aims to identify and visualize electrocardiogram (ECG) features using an
explainable deep learning–based algorithm to predict cardiac resynchronization therapy …
explainable deep learning–based algorithm to predict cardiac resynchronization therapy …