Biometric and Psychometric Remote Monitoring and Cardiovascular Risk Biomarkers in Ischemic Heart Disease

Area of Science:

• Cardiology
• Digital Health
• Biomarker Research

Background:

• Stable ischemic heart disease (SIHD) patients are a heterogeneous group with varying risks of major adverse cardiac events (MACE).
• MACE often occurs outside the hospital setting, necessitating remote monitoring strategies.
• Understanding associations between remote monitoring data and MACE risk biomarkers is crucial for risk stratification.

Purpose of the Study:

• To investigate the association between remote patient monitoring (biometric and psychometric) and biomarkers of MACE risk in patients with SIHD.
• To identify specific remote monitoring metrics related to key cardiac risk biomarkers.

Main Methods:

• The PRE-MACE study enrolled 198 patients with SIHD.
• Biometric (FitBit 2) and psychometric (smartphone-administered patient-reported outcomes) remote monitoring data were collected.
• Multivariable regression analyses examined associations with NT-proBNP, u-hs-cTnI, and hs-CRP.

Main Results:

• Both biometric and psychometric measures correlated with NT-proBNP.
• Biometric measures (step count, heart rate) were associated with u-hs-cTnI.
• Psychometric measures (physical limitation score) were associated with hs-CRP.

Conclusions:

• Remotely monitored biometric and psychometric data are associated with MACE risk biomarkers in SIHD patients.
• Biometric data uniquely relates to u-hs-cTnI, while psychometric data uniquely relates to hs-CRP.
• Further research is warranted to evaluate the predictive value of these metrics for MACE.