A protocol integrating remote patient monitoring patient reported outcomes and cardiovascular biomarkers

Chrisandra Shufelt1, Eldin Dzubur2, Sandy Joung1

  • 11Barbra Streisand Women's Heart Center, Cedars-Sinai Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA USA.

NPJ Digital Medicine
|September 12, 2019
PubMed

Insights

The PRE-MACE study uses remote monitoring with biosensors and biomarkers to predict major adverse cardiac events (MACE) in stable ischemic heart disease patients. This approach aims to improve outcomes and reduce healthcare costs by identifying MACE precursors early.

Area of Science:

  • Cardiology
  • Digital Health
  • Biomarker Research

Background:

  • Major adverse cardiac events (MACE) remain a concern in stable ischemic heart disease despite current treatments.
  • Early identification of MACE precursors is crucial for timely intervention and improved patient outcomes.
  • Current monitoring methods may not capture subtle physiological changes preceding MACE.

Purpose of the Study:

  • To evaluate the PRE-MACE study's protocol for remote patient monitoring in cardiology.
  • To assess the ability of remote monitoring (biosensors, biomarkers, patient-reported outcomes) to predict MACE and MACE biomarkers in stable ischemic heart disease.
  • To determine the adherence and cost-effectiveness of this remote monitoring approach.

Main Methods:

  • Utilizing continuous remote monitoring via wearable biosensors.
  • Measuring biomarkers through plasma and at-home micro-sampling blood collection.
  • Collecting patient-reported outcomes on stress, anxiety, depression, and quality of life.

Main Results:

  • The study aims to establish cross-sectional correlations between remote monitoring data and MACE.
  • It will assess the predictive capability of remote monitoring for MACE biomarkers and incident MACE.
  • Adherence and cost-effectiveness of remote monitoring and blood sampling will be evaluated.

Conclusions:

  • Remote monitoring using biosensors, biomarkers, and patient-reported outcomes can identify MACE precursors in stable ischemic heart disease.
  • This intervention holds potential for improving patient outcomes by predicting MACE between clinical visits.
  • Successful implementation could reduce the financial burden associated with MACE.

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