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Increased non-gaussianity of heart rate variability predicts cardiac mortality after an acute myocardial infarction.

Publication ,  Journal Article
Hayano, J; Kiyono, K; Struzik, ZR; Yamamoto, Y; Watanabe, E; Stein, PK; Watkins, LL; Blumenthal, JA; Carney, RM
Published in: Front Physiol
2011

Non-Gaussianity index (λ) is a new index of heart rate variability (HRV) that characterizes increased probability of the large heart rate deviations from its trend. A previous study has reported that increased λ is an independent mortality predictor among patients with chronic heart failure. The present study examined predictive value of λ in patients after acute myocardial infarction (AMI). Among 670 post-AMI patients, we performed 24-h Holter monitoring to assess λ and other HRV predictors, including SD of normal-to-normal interval, very-low frequency power, scaling exponent α(1) of detrended fluctuation analysis, deceleration capacity, and heart rate turbulence (HRT). At baseline, λ was not correlated substantially with other HRV indices (|r| < 0.4 with either indices) and was decreased in patients taking β-blockers (P = 0.04). During a median follow-up period of 25 months, 45 (6.7%) patients died (32 cardiac and 13 non-cardiac) and 39 recurrent non-fatal AMI occurred among survivors. While all of these HRV indices but λ were significant predictors of both cardiac and non-cardiac deaths, increased λ predicted exclusively cardiac death (RR [95% CI], 1.6 [1.3-2.0] per 1 SD increment, P < 0.0001). The predictive power of increased λ was significant even after adjustments for clinical risk factors, such as age, diabetes, left ventricular function, renal function, prior AMI, heart failure, and stroke, Killip class, and treatment ([95% CI], 1.4 [1.1-2.0] per 1 SD increment, P = 0.01). The prognostic power of increased λfor cardiac death was also independent of all other HRV indices and the combination of increased λ and abnormal HRT provided the best predictive model for cardiac death. Neither λ nor other HRV indices was an independent predictor of AMI recurrence. Among post-AMI patients, increased λ is associated exclusively with increased cardiac mortality risk and its predictive power is independent of clinical risk factors and of other HRV predictors.

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Published In

Front Physiol

DOI

EISSN

1664-042X

Publication Date

2011

Volume

2

Start / End Page

65

Location

Switzerland

Related Subject Headings

  • 3208 Medical physiology
  • 3101 Biochemistry and cell biology
  • 1701 Psychology
  • 1116 Medical Physiology
  • 0606 Physiology
 

Citation

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ICMJE
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Hayano, J., Kiyono, K., Struzik, Z. R., Yamamoto, Y., Watanabe, E., Stein, P. K., … Carney, R. M. (2011). Increased non-gaussianity of heart rate variability predicts cardiac mortality after an acute myocardial infarction. Front Physiol, 2, 65. https://doi.org/10.3389/fphys.2011.00065
Hayano, Junichiro, Ken Kiyono, Zbigniew R. Struzik, Yoshiharu Yamamoto, Eiichi Watanabe, Phyllis K. Stein, Lana L. Watkins, James A. Blumenthal, and Robert M. Carney. “Increased non-gaussianity of heart rate variability predicts cardiac mortality after an acute myocardial infarction.Front Physiol 2 (2011): 65. https://doi.org/10.3389/fphys.2011.00065.
Hayano J, Kiyono K, Struzik ZR, Yamamoto Y, Watanabe E, Stein PK, et al. Increased non-gaussianity of heart rate variability predicts cardiac mortality after an acute myocardial infarction. Front Physiol. 2011;2:65.
Hayano, Junichiro, et al. “Increased non-gaussianity of heart rate variability predicts cardiac mortality after an acute myocardial infarction.Front Physiol, vol. 2, 2011, p. 65. Pubmed, doi:10.3389/fphys.2011.00065.
Hayano J, Kiyono K, Struzik ZR, Yamamoto Y, Watanabe E, Stein PK, Watkins LL, Blumenthal JA, Carney RM. Increased non-gaussianity of heart rate variability predicts cardiac mortality after an acute myocardial infarction. Front Physiol. 2011;2:65.

Published In

Front Physiol

DOI

EISSN

1664-042X

Publication Date

2011

Volume

2

Start / End Page

65

Location

Switzerland

Related Subject Headings

  • 3208 Medical physiology
  • 3101 Biochemistry and cell biology
  • 1701 Psychology
  • 1116 Medical Physiology
  • 0606 Physiology