Skip to main content

Survival Predictors of Heart Rate Variability After Myocardial Infarction With and Without Low Left Ventricular Ejection Fraction.

Publication ,  Journal Article
Hayano, J; Ueda, N; Kisohara, M; Yuda, E; Carney, RM; Blumenthal, JA
Published in: Front Neurosci
2021

BACKGROUND: Heart rate variability (HRV) and heart rate (HR) dynamics are used to predict the survival probability of patients after acute myocardial infarction (AMI), but the association has been established in patients with mixed levels of left ventricular ejection fraction (LVEF). OBJECTIVE: We investigated whether the survival predictors of HRV and HR dynamics depend on LVEF after AMI. METHODS: We studied 687 post-AMI patients including 147 with LVEF ≤35% and 540 with LVEF >35%, of which 23 (16%) and 22 (4%) died during the 25 month follow-up period, respectively. None had an implanted cardioverter-defibrillator. From baseline 24 h ECG, the standard deviation (SDNN), root mean square of successive difference (rMSSD), percentage of successive difference >50 ms (pNN50) of normal-to-normal R-R interval, ultra-low (ULF), very-low (VLF), low (LF), and high (HF) frequency power, deceleration capacity (DC), short-term scaling exponent (α1), non-Gaussianity index (λ25 s), and the amplitude of cyclic variation of HR (Acv) were calculated. RESULTS: The predictors were categorized into three clusters; DC, SDNN, α1, ULF, VLF, LF, and Acv as Cluster 1, λ25 s independently as Cluster 2, and rMSSD, pNN50, and HF as Cluster 3. In univariate analyses, mortality was best predicted by indices belonging to Cluster 1 regardless of LVEF. In multivariate analyses, however, mortality in patients with low LVEF was best predicted by the combinations of Cluster 1 predictors or Cluster 1 and 3 predictors, whereas in patients without low LVEF, it was best predicted by the combinations of Cluster 1 and 2 predictors. CONCLUSION: The mortality risk in post-AMI patients with low LVEF is predicted by indices reflecting decreased HRV or HR responsiveness and cardiac parasympathetic dysfunction, whereas in patients without low LVEF, the risk is predicted by a combination of indices that reflect decreased HRV or HR responsiveness and indicator that reflects abrupt large HR changes suggesting sympathetic involvement.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Front Neurosci

DOI

ISSN

1662-4548

Publication Date

2021

Volume

15

Start / End Page

610955

Location

Switzerland

Related Subject Headings

  • 5202 Biological psychology
  • 3209 Neurosciences
  • 1702 Cognitive Sciences
  • 1701 Psychology
  • 1109 Neurosciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Hayano, J., Ueda, N., Kisohara, M., Yuda, E., Carney, R. M., & Blumenthal, J. A. (2021). Survival Predictors of Heart Rate Variability After Myocardial Infarction With and Without Low Left Ventricular Ejection Fraction. Front Neurosci, 15, 610955. https://doi.org/10.3389/fnins.2021.610955
Hayano, Junichiro, Norihiro Ueda, Masaya Kisohara, Emi Yuda, Robert M. Carney, and James A. Blumenthal. “Survival Predictors of Heart Rate Variability After Myocardial Infarction With and Without Low Left Ventricular Ejection Fraction.Front Neurosci 15 (2021): 610955. https://doi.org/10.3389/fnins.2021.610955.
Hayano J, Ueda N, Kisohara M, Yuda E, Carney RM, Blumenthal JA. Survival Predictors of Heart Rate Variability After Myocardial Infarction With and Without Low Left Ventricular Ejection Fraction. Front Neurosci. 2021;15:610955.
Hayano, Junichiro, et al. “Survival Predictors of Heart Rate Variability After Myocardial Infarction With and Without Low Left Ventricular Ejection Fraction.Front Neurosci, vol. 15, 2021, p. 610955. Pubmed, doi:10.3389/fnins.2021.610955.
Hayano J, Ueda N, Kisohara M, Yuda E, Carney RM, Blumenthal JA. Survival Predictors of Heart Rate Variability After Myocardial Infarction With and Without Low Left Ventricular Ejection Fraction. Front Neurosci. 2021;15:610955.

Published In

Front Neurosci

DOI

ISSN

1662-4548

Publication Date

2021

Volume

15

Start / End Page

610955

Location

Switzerland

Related Subject Headings

  • 5202 Biological psychology
  • 3209 Neurosciences
  • 1702 Cognitive Sciences
  • 1701 Psychology
  • 1109 Neurosciences