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Cardiac Resynchronization Therapy

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Prescription of Guideline-Recommended Implantable Cardioverter Defibrillator and Cardiac Resynchronization Therapy Among Patients Hospitalized With Heart Failure and Varying Degrees of Renal Function.

The American journal of cardiology 28160975
Implantable cardioverter defibrillators (ICD) and cardiac resynchronization therapy (CRT) reduce mortality in many patients with heart failure (HF), but the current use and effectiveness of ICD/CRT in patients with chronic kidney disease (CKD) are un...
Aged Biomarkers Cardiac Resynchronization Therapy Defibrillators, Implantable Demography Electric Countershock Female Heart Failure Hospitalization Humans Kidney Function Tests Male Middle Aged Practice Guidelines as Topic Renal Insufficiency Treatment Outcome United States
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Machine Learning Algorithm Predicts Cardiac Resynchronization Therapy Outcomes: Lessons From the COMPANION Trial.

Circulation. Arrhythmia and electrophysiology 29326129
BACKGROUND: Cardiac resynchronization therapy (CRT) reduces morbidity and mortality in heart failure patients with reduced left ventricular function and intraventricular conduction delay. However, individual outcomes vary significantly. This study so...
Aged Algorithms Cardiac Resynchronization Therapy Decision Making Deep Learning Female Heart Conduction System Heart Failure Humans Machine Learning Male Middle Aged Predictive Value of Tests Stroke Volume Ventricular Function, Left
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3D/2D model-to-image registration by imitation learning for cardiac procedures.

International journal of computer assisted radiology and surgery 29754382
PURPOSE: In cardiac interventions, such as cardiac resynchronization therapy (CRT), image guidance can be enhanced by involving preoperative models. Multimodality 3D/2D registration for image guidance, however, remains a significant research challeng...
Algorithms Cardiac Resynchronization Therapy Heart Humans Image Processing, Computer-Assisted Imaging, Three-Dimensional Machine Learning Models, Anatomic Multimodal Imaging Reproducibility of Results
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Discovering and identifying New York heart association classification from electronic health records.

BMC medical informatics and decision making 30066653
BACKGROUND: Cardiac Resynchronization Therapy (CRT) is an established pacing therapy for heart failure patients. The New York Heart Association (NYHA) class is often used as a measure of a patient's response to CRT. Identifying NYHA class for heart f...
Aged Cardiac Resynchronization Therapy Disease Progression Electronic Health Records Female Heart Failure Humans Machine Learning Male Middle Aged Natural Language Processing New York Treatment Outcome
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Machine learning-based phenogrouping in heart failure to identify responders to cardiac resynchronization therapy.

European journal of heart failure 30328654
AIMS: We tested the hypothesis that a machine learning (ML) algorithm utilizing both complex echocardiographic data and clinical parameters could be used to phenogroup a heart failure (HF) cohort and identify patients with beneficial response to card...
Aged Algorithms Cardiac Resynchronization Therapy Echocardiography Female Follow-Up Studies Heart Failure Heart Ventricles Humans Machine Learning Male Middle Aged Reproducibility of Results Retrospective Studies Stroke Volume Ventricular Function, Left
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Can machine learning improve patient selection for cardiac resynchronization therapy?

PloS one 31581234
RATIONALE: Multiple clinical trials support the effectiveness of cardiac resynchronization therapy (CRT); however, optimal patient selection remains challenging due to substantial treatment heterogeneity among patients who meet the clinical practice ...
Aged Cardiac Resynchronization Therapy Female Humans Machine Learning Male Models, Theoretical Outcome Assessment, Health Care Patient Selection ROC Curve
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New Multiparametric Analysis of Cardiac Dyssynchrony: Machine Learning and Prediction of Response to CRT.

JACC. Cardiovascular imaging 31005538
Cardiac Resynchronization Therapy Clinical Decision-Making Decision Support Techniques Echocardiography Electrocardiography Heart Failure Humans Image Interpretation, Computer-Assisted Machine Learning Predictive Value of Tests Retrospective Studies Signal Processing, Computer-Assisted Treatment Outcome Ventricular Dysfunction, Left Ventricular Function, Left
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Ventricular geometry-regularized QRSd predicts cardiac resynchronization therapy response: machine learning from crosstalk between electrocardiography and echocardiography.

The international journal of cardiovascular imaging 31104177
Up to one-third of patients selected by current guidelines do not respond to cardiac resynchronization therapy (CRT), the aim of this study was to find out novel analytical approaches to improve pre-implantation CRT response prediction. Among 31 pre-...
Aged Aged, 80 and over Cardiac Resynchronization Therapy Clinical Decision-Making Echocardiography Electrocardiography Female Heart Failure Humans Image Interpretation, Computer-Assisted Male Middle Aged Patient Selection Predictive Value of Tests Signal Processing, Computer-Assisted Support Vector Machine Treatment Outcome Ventricular Function, Left Ventricular Remodeling
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Machine Learning Prediction of Response to Cardiac Resynchronization Therapy: Improvement Versus Current Guidelines.

Circulation. Arrhythmia and electrophysiology 31216884
BACKGROUND: Cardiac resynchronization therapy (CRT) has significant nonresponse rates. We assessed whether machine learning (ML) could predict CRT response beyond current guidelines.
Aged Baltimore Cardiac Resynchronization Therapy Clinical Decision-Making Decision Support Techniques Disease Progression Echocardiography Female Heart Failure Heart Transplantation Heart-Assist Devices Humans Machine Learning Male Middle Aged Ohio Patient Selection Practice Guidelines as Topic Predictive Value of Tests Progression-Free Survival Recovery of Function Retrospective Studies Risk Assessment Risk Factors Stroke Volume Time Factors Ventricular Function, Left
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A Shifting Paradigm in Robotic Heart Surgery: From Single-Procedure Approach to Establishing a Robotic Heart Center of Excellence.

Innovations (Philadelphia, Pa.) 32384009
Aortic Valve Arrhythmias, Cardiac Atrial Fibrillation Cardiac Resynchronization Therapy Cardiac Surgical Procedures Cardiomyopathy, Hypertrophic Congenital Abnormalities Coronary Artery Bypass Coronary Artery Bypass, Off-Pump Endoscopy History, 20th Century History, 21st Century Humans Lead Poisoning Minimally Invasive Surgical Procedures Mitral Valve Myocardial Bridging Myocardial Revascularization Nobel Prize Patient Positioning Pericardiectomy Robotic Surgical Procedures Robotics Tricuspid Valve
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