Potential predictors for mental stress-induced myocardial ischemia in patients with coronary artery disease

Mei-Yan Liu1, Ya Yang2, Li-Jun Zhang1

  • 1Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.

Insights

Higher levels of cardiac biomarkers and blood pressure predict mental stress-induced myocardial ischemia (MSIMI) in coronary artery disease (CAD) patients. These findings suggest hs-cTnI, NT-proBNP, and SBP could serve as valuable predictors for MSIMI risk.

Area of Science:

  • Cardiology
  • Biomarkers
  • Clinical Prediction

Background:

  • Mental stress-induced myocardial ischemia (MSIMI) is linked to adverse cardiac events in coronary artery disease (CAD) patients.
  • Identifying predictors for MSIMI is crucial for risk stratification and management.

Purpose of the Study:

  • To investigate whether specific biomarkers and blood pressure measurements can predict MSIMI in patients with CAD.
  • To assess the association between resting and post-stressor levels of NT-proBNP, hs-cTnI, and SBP with the occurrence of MSIMI.

Main Methods:

  • 82 patients with documented CAD were enrolled.
  • Blood samples were collected at rest and after a mental arithmetic stress test.
  • Statistical analyses included linear regression, ROC curves, and logistic regression.

Main Results:

  • Patients with MSIMI showed significantly higher resting NT-proBNP and SBP compared to those without MSIMI.
  • Post-stressor hs-cTnI and NT-proBNP levels were also significantly elevated in the MSIMI group.
  • Logistic regression indicated that elevated post-stressor hs-cTnI (≥0.015 ng/mL), resting NT-proBNP (≥80.51 pg/mL), post-stressor NT-proBNP (≥98.80 pg/mL), and resting SBP (≥129.50 mmHg) were associated with a significantly increased risk of MSIMI.

Conclusions:

  • Higher levels of hs-cTnI, NT-proBNP, and SBP are associated with an increased risk of MSIMI in CAD patients.
  • These biomarkers and blood pressure measurements may serve as potential predictors for MSIMI.
Abstract

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