Impaired ventricular electrical stability and sympathetic hyperactivity in patients with multivessel coronary artery

Bunyamin Yavuz1, Ali Deniz, Gulcan Abali

  • 1Department of Cardiology, Kecioren Research Hospital, Ankara, Turkey. byavuzmd@gmail.com

Insights

Autonomic nervous system activity and ventricular vulnerability are impaired in patients with multivessel coronary artery disease. These findings suggest heart rate variability and QT dynamicity can detect these issues noninvasively.

Area of Science:

  • Cardiology
  • Autonomic Nervous System Research
  • Clinical Electrophysiology

Background:

  • Atherosclerotic disease extent predicts cardiac events in coronary artery disease (CAD).
  • Heart rate variability (HRV) and QT dynamicity are known predictors of sudden death in CAD.
  • These autonomic markers have not been studied in multivessel coronary artery disease (MVD).

Purpose of the Study:

  • To investigate autonomic nervous system (ANS) activity in MVD patients.
  • To assess ventricular vulnerability in MVD.
  • To determine if HRV and QT dynamicity differ in MVD compared to single-vessel disease and controls.

Main Methods:

  • Coronary angiography was performed on 204 patients.
  • Patients were grouped into controls (normal coronary arteries, n=61), single-vessel CAD (n=53), and MVD (n=90).
  • Twenty-four-hour ambulatory ECG monitoring was analyzed for HRV and QT dynamicity parameters.

Main Results:

  • Multivessel CAD patients showed significantly lower SDNN and HFnu, and higher LFnu and LF/HF ratio compared to controls and single-vessel CAD.
  • QTend/RR and QTapex/RR slopes were significantly increased in MVD patients.
  • These results indicate altered ANS activity and increased ventricular vulnerability in MVD.

Conclusions:

  • HRV and QT dynamicity are demonstrably impaired in patients with MVD.
  • These parameters may serve as valuable noninvasive tools for detecting ANS dysfunction and ventricular vulnerability in MVD.
  • Further research can validate these findings for clinical application in MVD risk stratification.
Abstract

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