Short-term heart rate variability as a predictor of long-term survival in patients with chronic hemodialysis: A prospective cohort study

George Kuo, Szi Wen Chen, Jeng Yi Huang, Chao Yi Wu, Chung Ming Fu, Chih Hsiang Chang, Su Hsun Liu, Yi Hsin Chan, I. Wen Wu, Huang Yu Yang

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

Abstract

Background: Heart rate variability (HRV), a non-invasive measurement of the sympathetic-vagal balance, has been demonstrated as a predictor of long-term survival in various patient populations. However, its predictive value in patients with end-stage renal disease (ESRD) has not been evaluated in a long-term follow-up study. Methods: Prospective data collected for 41 patients with chronic hemodialysis (age 59 ± 10 years, men 51.3%, diabetes mellitus 31%, and duration of dialysis 64 ± 50 months) who underwent a 5-minute electrocardiogram (ECG) recording as a baseline for frequency domain HRV analysis. Results: During a median follow-up of 150.2 months from 2003 to 2014, 15 (35.7%) patients died (3 due to cardiac causes and 12 due to non-cardiac causes). The Cox proportional hazards model suggested that the low frequency versus high frequency signal (LF/HF) of a high ratio for the HRV and diabetes mellitus were two independent predictors of mortality (hazard ratios 3.028 and 3.494; p = 0.033 and 0.022, respectively). Less reduction in MAP during dialysis showed borderline significance of long-term survival than those with larger drop (p = 0.058). Conclusion: A short ECG recording and an analysis of the frequency domain of the HRV is clinically predictive of the long-term survival of patients with chronic hemodialysis.

Original languageEnglish
Pages (from-to)1058-1064
Number of pages7
JournalJournal of the Formosan Medical Association
Volume117
Issue number12
DOIs
Publication statusPublished - Dec 2018
Externally publishedYes

Keywords

  • Cardiorenal syndrome
  • End-stage renal disease
  • Heart rate variability
  • Hemodialysis
  • Survival

ASJC Scopus subject areas

  • General Medicine

Fingerprint

Dive into the research topics of 'Short-term heart rate variability as a predictor of long-term survival in patients with chronic hemodialysis: A prospective cohort study'. Together they form a unique fingerprint.

Cite this