Cardiovascular Precision Medicine and Remote Intervention Trial Rationale and Design

Deborah Reynolds1,2, Rachel A Annunziato2,3, Jasleen Sidhu1,2,4

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

PubMed

Insights

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.

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.