Relationship between electrocardiographic and biochemical variables in coronary artery disease

Wei Yue1, Alexandra Schneider, Regina Rückerl

  • 1Institute of Epidemiology, GSF-National Research Center for Environment and Health, Neuherberg, Germany.

Insights

Electrocardiogram (ECG) markers for abnormal heart repolarization and heart rate variability are linked to inflammation and endothelial dysfunction in coronary artery disease patients. Further research is needed to understand these associations.

Area of Science:

  • Cardiology
  • Biochemistry
  • Clinical Medicine

Background:

  • Cardiovascular mortality is linked to ECG markers of heart rate variability and repolarization, alongside biochemical markers of inflammation, endothelial dysfunction, and procoagulation.
  • These ECG and biochemical markers may act independently or interact within coronary disease pathways.

Purpose of the Study:

  • To investigate the relationship between electrocardiogram (ECG) parameters and biochemical markers in patients with coronary artery disease.
  • To explore potential interrelations in the pathogenetic pathways of coronary disease.

Main Methods:

  • Utilized generalized estimating equation models to analyze data from 52 coronary artery disease patients with repeated measurements (n=499).
  • Collected data on a series of ECG parameters (heart rate variability, repolarization) and biochemical markers.

Main Results:

  • Abnormal repolarization (prolonged QT, low T wave amplitude) associated with elevated C-reactive protein and fibrinogen.
  • Abnormal heart rate variability and increased sympathetic tone linked to higher soluble E-selectin levels (endothelial activation marker).
  • No association found between ECG markers and procoagulation parameters.

Conclusions:

  • ECG parameters show associations with blood markers of endothelial function and inflammation in coronary artery disease.
  • The underlying pathophysiologic mechanisms connecting these ECG and biochemical markers require further elucidation.
Abstract

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