Predictive value of heart rate variability on long-term mortality in end-stage kidney disease on hemodialysis

Author:

Osataphan Nichanan,Wongcharoen Wanwarang,Phrommintikul ArintayaORCID,Putchagarn Phasakorn,Noppakun KajohnsakORCID

Abstract

Autonomic disturbance is common in end-stage kidney disease (ESKD). Heart rate variability (HRV) is a useful tool to assess autonomic function. We aimed to evaluate the predictive value of HRV on all-cause mortality and explore the proper timing of HRV assessment. This prospective cohort study enrolled 163 ESKD on hemodialysis patients from April-December 2018. HRV measurements were recorded ten minutes before hemodialysis, four hours during hemodialysis, and ten minutes after hemodialysis. Clinical parameters and all-cause mortality were recorded. Cox-proportional hazard regression was used for statistical analysis. After a median follow up of 40 months, 37 (22.7%) patients died. Post-dialysis HRV parameters including higher very low frequency (VLF) (hazard ratio [HR], 0.881; 95%confidence interval [CI], 0.828–0.937; p<0.001), higher normalized low frequency (nLF) (HR, 0.950; 95%CI, 0.917–0.984; p = 0.005) and higher LF/HF ratio (HR, 0.232; 95%CI, 0.087–0.619; p = 0.004) were the independent predictors associated with lower risk for all-cause mortality. Higher post-dialysis normalized high frequency (nHF) increased risk of mortality (HR, 1.051; 95%CI, 1.015–1.089; p = 0.005). HRV parameters at pre-dialysis and during dialysis were not predictive for all-cause mortality. The area under receiver operating characteristic curve (AuROC) of VLF for survival was highest compared to other HRV parameters at post-dialysis period (AuROC 0.71; 95% CI; 0.62–0.79; p<0.001). In conclusion, post-dialysis HRV parameters predicted all-cause mortaliy in ESKD. VLF measured at post-dialysis exhibited best predictive value for survival in chronic hemodialysis patients.

Funder

Faculty of Medicine Endowment Fund for Medical Research, Chiang Mai University, Thailand

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

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