Electrocardiogram abnormalities and heart rate variability in predicting mortality and cardiovascular events among

Silvia Badarau1, Dimitrie Siriopol2, Daniela Drugus3

  • 1Department of Nephrology, Gr. T. Popa University of Medicine and Pharmacy, Iasi, Romania. silvia.badarau@gmail.com.

Insights

Electrocardiogram (ECG) interval changes during hemodialysis predict cardiovascular events and mortality in chronic kidney disease patients. Monitoring these ECG changes can improve patient outcomes.

Area of Science:

  • Cardiology
  • Nephrology
  • Biomedical Engineering

Background:

  • Chronic hemodialysis patients face high risks of cardiovascular events and mortality.
  • Electrocardiographic (ECG) parameters and heart rate variability (HRV) are potential biomarkers for cardiovascular risk.
  • Understanding the relationship between ECG changes during hemodialysis and clinical outcomes is crucial.

Purpose of the Study:

  • To investigate the correlation between specific ECG parameters and HRV with cardiovascular events and mortality in patients undergoing chronic hemodialysis.
  • To identify predictive ECG markers for adverse cardiovascular outcomes in this population.

Main Methods:

  • A prospective study involving 116 asymptomatic chronic hemodialysis patients.
  • Ambulatory 24-hour Holter monitoring and pre- and post-hemodialysis ECGs were performed.
  • Measurements included ECG intervals (PR, QRS, QTc, QTc dispersion) and frequency-domain HRV measures (VLF, LF, HF, LF/HF ratio).

Main Results:

  • During follow-up, 11.2% died and 13.8% experienced a cardiovascular event.
  • The pre-post-dialysis difference in QTc interval was the strongest predictor of cardiovascular events.
  • Pre-dialysis QRS interval predicted all-cause mortality, while PR interval and VLF predicted both outcomes.

Conclusions:

  • Changes in ECG intervals during hemodialysis are significant predictors of cardiovascular events and mortality.
  • Routine monitoring of autonomic dysfunction and PR interval changes is recommended, especially for patients with suspected coronary artery disease.
Abstract

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