Device-Based Arrhythmia Monitoring, An Issue of Cardiac Electrophysiology Clinics

1st Edition, Volume 13-3 - July 30, 2021
Editors: Suneet Mittal, David J. Slotwiner
Language: English
Hardback ISBN:
9 7 8 - 0 - 3 2 3 - 8 9 7 2 2 - 8
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 8 9 7 2 3 - 5

This issue of Cardiac Electrophysiology Clinics, Guest Edited by Drs. Suneet Mittal and David Slotwiner,, is dedicated to Device-Based Arrhythmia Monitoring. This is one of four is… Read more

Device-Based Arrhythmia Monitoring, An Issue of Cardiac Electrophysiology Clinics

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This issue of Cardiac Electrophysiology Clinics, Guest Edited by Drs. Suneet Mittal and David Slotwiner,, is dedicated to Device-Based Arrhythmia Monitoring. This is one of four issues selected each year by the series Consulting Editors, Ranjan K. Thakur and Andrea Natale. Topics include, but are not limited to: Implantable loop recorders, Permanent pacemakers and implantable cardioverter defibrillators, Heart failure monitoring, Remote programming and cybersecurity concerns, Models for remote monitoring, Data management and integration with EMR systems, Screening for atrial fibrillation and The role of artificial intelligence in arrhythmia monitoring.　

Cover image
Title page
Table of Contents
Copyright
Contributors
Forthcoming Issues
Foreword
Preface
Ambulatory External Electrocardiography Monitoring: Holter, Extended Holter, Mobile Cardiac Telemetry Monitoring
Key points
Introduction
Discussion
Summary
Clinics care points
Implantable Loop Recorders—Syncope, Cryptogenic Stroke, Atrial Fibrillation
Key points
Syncope
Cryptogenic stroke
Atrial fibrillation
Indication-independent concerns
Disclosure
Remote Monitoring of Permanent Pacemakers and Implantable Cardioverter Defibrillators
Key points
History
Terminology
Review of the literature supporting the use of devices telemonitoring
Patient and physician/institution responsibilities
Disease-specific management
Future directions
Clinics care points
Current Guidelines and Clinical Practice
Key points
Overview
Implantable loop recorder guidelines based on the current heart rhythm association document
Syncope
Cryptogenic stroke, atrial fibrillation
Assessment of premature ventricular complex burden
Remote monitoring of cardiac implantable electronic devices
Remote programming
Heart failure monitoring
QT interval prolongation, QT variability, and ST segment changes
Bradycardia
Ventricular tachycardia
Nonischemic dilated cardiomyopathy
Arrhythmogenic right ventricular cardiomyopathy/dysplasia (arvc/d)
Hypertrophic obstructive cardiomyopathy
Chagas disease
Wolff-Parkinson-White
Long QT syndrome
Short QT
Brugada
Catecholaminergic polymorphic ventricular tachycardia
Early repolarization syndrome
Idiopathic ventricular fibrillation
Dialysis and chronic kidney disease
Neurologic and muscular diseases
Sleep apnea
Postventricular tachycardia and premature ventricular complex ablation
Postatrial fibrillation ablation
Postpharmacologic treatment assessment
Evaluation of cardiac implantable electronic device function and arrhythmias
Postural orthostatic tachycardia syndrome/vasovagal syncope/inappropriate sinus tachycardia
Athletes and precompetition screening
Summary
Clinics care points
Data Management and Integration with Electronic Health Record Systems
Key points
Required elements for smooth data transfer
Process flow summary
Data integration into the electronic health record
Work flow issues
Summary
Clinics care points
Organizational Models for Cardiac Implantable Electronic Device Remote Monitoring: Current and Future Directions
Key points
Introduction
Organizational models for remote monitoring management
Considerations for remote monitoring management
Future of remote monitoring management
Remote monitoring clinic case example
Key considerations for remote monitoring management
Summary
Clinics care points
Cybersecurity of Cardiovascular Implantable Electronic Devices and Remote Programming
Key points
Introduction
Cybersecurity vulnerabilities of medical devices
Remote programming: special considerations
Identifying and disclosing cybersecurity vulnerabilities
The roles of electrophysiologist and allied care professionals
Summary
Clinics Care Points
Use of Smartphones and Wearables for Arrhythmia Monitoring
Key points
A brief history of cardiac monitoring: from Maimonides to insertable cardiac monitors
Mobile health: an overview
Methods of arrhythmia detection
Screening for atrial fibrillation
Mobile health in management of established atrial fibrillation
Exercise and atrial fibrillation
Mobile health and obstructive sleep apnea
Mobile health and other arrhythmias and electrocardiographic parameters
A shift in clinical practice: the challenges ahead
Summary
Clinics care points
Disclosures
Remote Monitoring of the QT Interval and Emerging Indications for Arrhythmia Prevention
Key points
Introduction
An overview of current devices
Relevant studies to date
The issue of remote monitoring during a pandemic
Remote monitoring for life-threatening arrhythmias
Summary
Clinics care points
Disclosure
Atrial Fibrillation Population Screening
Key points
Atrial fibrillation definition, risk factors, and epidemiology
Diagnosis of atrial fibrillation
Why to screen for atrial fibrillation?
Theoretic approach to atrial fibrillation screening strategies
Who to screen for atrial fibrillation?
How to screen for atrial fibrillation?
Pitfalls of atrial fibrillation screening
Future of atrial fibrillation screening
Clinics care points
The Role of Artificial Intelligence in Arrhythmia Monitoring
Key points
Introduction
Primer on machine learning and deep learning
Signal sources and acquisition
Applying artificial intelligence to the electrocardiogram: the artificially intelligent electrocardiogram
Rhythm determination with wearables
Digital phenotyping of atrial fibrillation
Summary
Clinics care points
Returning Cardiac Rhythm Data to Patients: Opportunities and Challenges
Key points
Introduction
The history and evolution of patient-facing data in electrophysiology
The rationale for returning cardiac rhythm data to patients
Avenues for returning patient data
Opportunities to improve outcomes through patient-facing data
Challenges and recommendations
Clinics care points

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Suneet Mittal

David J. Slotwiner