Effects of Beta-Blocker on Heart Rate Variability in Heart Failure with Preserved Ejection Fraction

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Abstract

Heart failure is characterized by sympathetic activation and parasympathetic withdrawal leading to an abnormal autonomic modulation. Beta-blockers (BB) inhibit overstimulation of the sympathetic system and are indicated in heart failure patients with reduced ejection fraction. However, the effect of beta-blocker therapy on heart failure with preserved ejection fraction (HFpEF) is unclear. This study investigated the effect of BB therapy on heart rate variability (HRV) features as a measure of risk of an abnormal cardiac event. ECGs of seventy-three patients with HFpEF > 55% were recruited. Fifty-six patients in the BB group and 17 patients in the without BB group. HRV analysis was performed for recordings between 6-10 am and 6-10 pm, which are times associated with increased risk of cardiac events. The result shows that RMSSD (p=0.011), HF power (p=0.012), and VLF power (p=0.047) were significantly higher during the 6 - 10 am interval. Sample entropy (p=0.016), and the novel fragmentation measures PIP (p=0.015), IALS (p=0.015) and PSS(p=0.008) were significantly higher between 6 - 10 pm. Beta-blocker therapy increases HRV measures in the HFpEF group depending on the feature investigated indicating an overall decreased risk of a cardiac event and a possibly beneficial effect of beta-blockers, especially during the morning hours that is characterized by a sympathetic surge.

Original languageBritish English
Title of host publication2022 Computing in Cardiology, CinC 2022
PublisherIEEE Computer Society
ISBN (Electronic)9798350300970
DOIs
StatePublished - 2022
Event2022 Computing in Cardiology, CinC 2022 - Tampere, Finland
Duration: 4 Sep 20227 Sep 2022

Publication series

NameComputing in Cardiology
Volume2022-September
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X

Conference

Conference2022 Computing in Cardiology, CinC 2022
Country/TerritoryFinland
CityTampere
Period4/09/227/09/22

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