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

Int Urol Nephrol. 2015 Oct;47(10):1703-8. doi: 10.1007/s11255-015-1063-4. Epub 2015 Sep 2.

Abstract

Purpose: The aim of the study was to evaluate the correlation between electrocardiographic parameters and heart rate variability with cardiovascular events and mortality among chronic hemodialysis patients.

Methods: In this prospective study, we enrolled 116 asymptomatic patients in whom we performed ambulatory 24-h electrocardiographic Holter monitoring and before and after hemodialysis electrocardiographs. We measured the interval (PR, QRS, QTc, QTc dispersion) differences on the surface electrocardiographs and obtained frequency-domain measures from Holter monitoring (VLF, LF, HF and the LF/HF ratio).

Results: During the follow-up period, 13 participants died (11.2 %) and 16 (13.8 %) patients experienced a cardiovascular event. The pre-post-dialysis difference in QTc interval was the best predictor for cardiovascular events (95 % CI 0.453-0.786), while pre-dialysis QRS interval was the predictor for all-cause mortality (95 % CI 1.134-3.136). Also, both outcomes were predicted by pre-post-dialysis difference in PR interval and VLF.

Conclusions: Interval changes during hemodialysis are predictive for cardiovascular events and mortality. Autonomic dysfunction and changes in PR should be monitored routinely, particularly in patients with suspected coronary artery disease.

Keywords: Autonomic dysfunction; Electrocardiogram; Hemodialysis; Holter monitoring; Survival.

MeSH terms

  • Aged
  • Cause of Death
  • Electrocardiography, Ambulatory*
  • Female
  • Heart Rate / physiology*
  • Humans
  • Kidney Failure, Chronic / mortality*
  • Kidney Failure, Chronic / physiopathology*
  • Kidney Failure, Chronic / therapy
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Myocardial Infarction / epidemiology
  • Predictive Value of Tests
  • Proportional Hazards Models
  • Prospective Studies
  • Renal Dialysis*
  • Stroke / epidemiology