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Updated: May 5, 2026

Remote Magnetic Navigation for Accurate, Real-time Catheter Positioning and Ablation in Cardiac Electrophysiology Procedures

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Cardiovascular Precision Medicine and Remote Intervention Trial Rationale and Design.

Deborah Reynolds^1,2, Rachel A Annunziato^2,3, Jasleen Sidhu^1,2,4

¹NYC Health + Hospitals/Elmhurst, Queens, New York, NY 11373, USA.

Journal of Clinical Medicine

|October 26, 2024

Summary

This summary is machine-generated.

Excessive blood pressure variability is linked to poor cardiovascular outcomes. This study introduces a novel EHR-based method to identify at-risk patients and offer remote interventions, aiming to improve adherence and reduce cardiovascular risk.

Keywords:

adherence behavioral health intervention cardiovascular illness precision medicine

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Area of Science:

Cardiovascular Medicine
Digital Health
Health Informatics

Background:

Elevated blood pressure variability is a significant predictor of adverse cardiovascular events, including mortality, coronary heart disease, and stroke.
Inconsistent adherence to medical advice may contribute to blood pressure fluctuations.
A proactive strategy integrating this risk marker into electronic health records (EHRs) for patient identification and intervention is needed.

Purpose of the Study:

To introduce and evaluate an innovative approach for identifying patients with excessive blood pressure variability using EHR data.
To assess the feasibility of a remote intervention aimed at improving adherence in identified patients.
To examine the impact of the intervention on blood pressure variability.

Main Methods:

A proof-of-concept trial utilizing Cardiovascular Precision Medicine and Remote Intervention (CP&R).
Calculation of a blood pressure variability index derived from EHR data for clinic patients.
Offer of a remote intervention to consenting patients exhibiting excessive variability, focusing on adherence improvement.
Pre-post comparison design to assess changes in blood pressure variability post-intervention.

Main Results:

The study successfully demonstrated the ability to identify and engage patients with high blood pressure variability.
Preliminary data suggests the remote intervention's potential to influence blood pressure variability.
The methodology highlights the utility of EHR data for risk stratification and targeted interventions.

Conclusions:

This novel approach leverages EHR data and remote interventions to address cardiovascular risk associated with blood pressure variability.
The strategy offers a patient-centric, equitable, and resource-efficient method for managing behavioral risk.
Further research is warranted to validate these findings and optimize intervention strategies.