Heart rate variability as an independent predictor for 8-year mortality among chronic hemodialysis patients.

Abstract:

:The repeated measurements of heart rate variability (HRV) is more relevant than a single HRV measurement in predicting patient prognosis but is less addressed previously. This prospective study aimed to investigate the association between repeated measurements of HRV and long-term mortality in chronic hemodialysis patients. The 164 patients (65.0 ± 13.1 years; woman, 57.3%) were enrolled from June 1, 2010, to August 31, 2010, and received four HRV measurements (before and during the index hemodialysis session) after the enrollment. The baseline characteristic and clinical variables, including mortality, were documented. The joint modeling method and Cox regression were used for statistical analyses. After an 8-year follow-up, 79 patients expired, and 85 patients survived. We found that higher normalized high-frequency (nHF) (hazard ratio [HR] 1.033) as well as lower very-low-frequency (HR 0.990), Variance (HR 0.991), normalized low-frequency (HR 0.999, P = 0.006), and low-frequency/high-frequency ratio (HR 0.796) were independent predictors for cardiovascular mortality. Whereas the independent predictors for infection-associated mortality included higher nHF (HR 1.033) as well as higher age (HR 19.29) and lower serum albumin (HR 0.01, P = 0.001). (all P < 0.001 unless otherwise stated) In conclusion, HRV measurement predicts long-term mortality among hemodialysis patients.

journal_name

Sci Rep

journal_title

Scientific reports

authors

Chang YM,Huang YT,Chen IL,Yang CL,Leu SC,Su HL,Kao JL,Tsai SC,Jhen RN,Shiao CC

doi

10.1038/s41598-020-57792-3

subject

Has Abstract

pub_date

2020-01-21 00:00:00

pages

881

issue

1

issn

2045-2322

pii

10.1038/s41598-020-57792-3

journal_volume

10

pub_type

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