Top Scoring HRX 2022 AbstracX

Evaluation of an Artificial Intelligence Heparin Dosing Algorithm to Maintain Therapeutic Anticoagulation During Atrial Fibrillation Ablation
Presented by Matthew Martini
Intraprocedural anticoagulation during atrial fibrillation (AF) ablation reduces the risk of cerebral thromboembolism during ablation. Heparin dosing strategies vary, can result in sub-therapeutic levels, and require frequent physician decisions if not protocol driven.

Native Implementation of the IDCO Interoperability Standard for All Major CIED Vendors (US)
Presented by Paul Steiner
Processing the plethora of detailed data acquired from cardiac implantable electronic devices (CIEDs) during both interval remote surveillance and discrete point of care device interrogations has presented a growing challenge among healthcare systems. By automating the conveyance of detailed CIED device and sensor data, our team sought to facilitate effective patient-centric clinical workflows and associated administrative support functions (scheduling, billing, analytics, messaging).

Identification of Arrhythmias Preceding Ventricular Fibrillation in Patients Prescribed Philips Mobile Cardiac Outpatient Telemetry
Presented by Manish Wadhwa
Ventricular Fibrillation (VF) is a potentially lethal arrhythmia seen on telemetry monitoring. Ambulatory ECG in arrhythmic sudden death has shown VF as the terminal arrhythmia in about 80% of cases. Studies of VF triggers in the ambulatory setting are sparse, but suggest VF is most often due to ventricular tachycardia (VT).

Evidence-Based Best Practices for Patient Engagement Using Digital Navigation Pathways: Insights from Over 800,000 Digital Prescriptions
Presented by Supriya Doshi
Automated messages that are delivered by patient engagement systems called Digital Navigation Pathways (DNPs) have emerged as an innovative strategy to leverage automation to enhance patient-provider communication and bolster patient engagement across the care continuum with little human effort. Such messages can include patient education content, peri-procedural instructions, appointment reminders, driving directions, etc. There is a lack of sufficient evidence-based practices for best design, implementation, and optimization of these digital health tools.

A Chest-Mounted Accelerometer for Estimation of Cardiorespiratory Fitness
Presented by Samuel E. Schmidt
Maximal oxygen consumption (VO2max) is a measure of Cardiorespiratory fitness (CRF) and a strong predictor of cardiovascular health. Quantifying CRF by cardiopulmonary exercise (CPX) is complex and unsuitable in most clinical settings. The Seismofit® System (VentriJect ApS, DK) is a novel sensor, for non-exercise estimation of VO2max using seismocardiography (SCG). SCG is the measurement of precordial vibrations using an accelerometer.

The Reality of Integrating Virtual Reality (VR) to Enhance Patient’s AF Ablation Education
Presented by Aimee Lee
Atrial fibrillation (AF) is an epidemic and catheter ablation (CA) is a widely used treatment modality. AF is independently associated with increased mortality, risk of stroke and HF. The risks are magnified post ablation with CA-specific risks of cardiac tamponade, PV stenosis and esophageal injury. Guideline-adherent AF therapy has been shown to improve outcomes and guidelines underscore the importance of AF education in providing comprehensive care. Patients traditionally receive their post-CA education through verbal instruction and pamphlets. These one-way communication methods may be ineffective because of poor recall, patient health literacy and time constraints. Virtual reality (VR) is a new medium for providing education using a computer-generated three-dimensional (3D) experience. Patient exposed to VR experiential learning have shown increased understanding, perception and assimilation of the information they are given.

Prediction of Atrial Fibrillation Recurrence after Repeat Ablation Using Machine Learning
Presented by Syed Khairul Bashar
Pulmonary vein isolation is a widely used method to treat Atrial fibrillation (AF). However, many patients experience AF recurrence, leading to repeated ablation requirements. In this study, we sought to identify whether left atrial (LA) geometry can identify patients at risk of AF recurrence after second ablation.

Development of an Atrial Fibrillation Detection Algorithm for ECG collected with Textile Garment
Presented by Bastien Moineau
Atrial fibrillation (AF) is a common arrhythmia related to increased mortality, strokes and heart failure. AF is typically diagnosed using ECG recorded with adhesive gel electrodes, which can irritate the skin in long recording. Garments with textile electrodes are a comfortable alternative for long term ECG monitoring.

Andy’s Story: Hybrid Cardiac Rehabilitation Using a Digital Health Platform
Presented by Zane MacFarlane
Cardiac rehabilitation (CR) is a cornerstone of secondary cardiovascular prevention but remains underutilized, especially among underrepresented minorities. We developed a 12-week hybrid CR program to improve equitable CR access and participation. The program utilizes an evidenced-based digital health platform, Corrie, that consists of a smartphone app, smartwatch, blood pressure monitor, clinician dashboard, and virtual health coaching. We share a patient’s journey to provide insight into his experience of this novel hybrid CR program.

Distribution of False Arrhythmic Alerts from Implantable Loop Recorders in the Philips Geneva Health Solutions Implantable Device Remote Monitoring Database
Presented by CJ Grigoriadis
Implantable loop recorders (ILR) are the gold standard for extended diagnostic cardiac monitoring. Accurate detection of arrhythmias is paramount to data integrity. Unnecessary remote transmissions generated due to oversensing or undersensing of the cardiac electrogram (EGM) is a significant source of data deluge in ILR monitoring.

Accuracy of the Apple Watch for Detection of Atrial Fibrillation: A Multi-Center Experience
Presented by Jeremiah Wasserlauf
The Apple Watch (AW) Irregular Rhythm Notification (IRN) feature uses photoplethysmography to identify prolonged episodes of irregular rhythm suggestive of atrial fibrillation (AF). IRN is FDA cleared for those with no previous history of AF, however, these devices are increasingly being used for AF management.