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Increased Non-Gaussianity of Heart Rate Variability Predicts Cardiac Mortality after an Acute Myocardial Infarction

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 pre...

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Autores principales: Hayano, Junichiro, Kiyono, Ken, Struzik, Zbigniew R., Yamamoto, Yoshiharu, Watanabe, Eiichi, Stein, Phyllis K., Watkins, Lana L., Blumenthal, James A., Carney, Robert M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3183481/
https://www.ncbi.nlm.nih.gov/pubmed/21994495
http://dx.doi.org/10.3389/fphys.2011.00065
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author Hayano, Junichiro
Kiyono, Ken
Struzik, Zbigniew R.
Yamamoto, Yoshiharu
Watanabe, Eiichi
Stein, Phyllis K.
Watkins, Lana L.
Blumenthal, James A.
Carney, Robert M.
author_facet Hayano, Junichiro
Kiyono, Ken
Struzik, Zbigniew R.
Yamamoto, Yoshiharu
Watanabe, Eiichi
Stein, Phyllis K.
Watkins, Lana L.
Blumenthal, James A.
Carney, Robert M.
author_sort Hayano, Junichiro
collection PubMed
description 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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spelling pubmed-31834812011-10-12 Increased Non-Gaussianity of Heart Rate Variability Predicts Cardiac Mortality after an Acute Myocardial Infarction Hayano, Junichiro Kiyono, Ken Struzik, Zbigniew R. Yamamoto, Yoshiharu Watanabe, Eiichi Stein, Phyllis K. Watkins, Lana L. Blumenthal, James A. Carney, Robert M. Front Physiol Physiology 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. Frontiers Research Foundation 2011-09-30 /pmc/articles/PMC3183481/ /pubmed/21994495 http://dx.doi.org/10.3389/fphys.2011.00065 Text en Copyright © 2011 Hayano, Kiyono, Struzik, Yamamoto, Watanabe, Stein, Watkins, Blumenthal and Carney. http://www.frontiersin.org/licenseagreement This is an open-access article subject to a non-exclusive license between the authors and Frontiers Media SA, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and other Frontiers conditions are complied with.
spellingShingle Physiology
Hayano, Junichiro
Kiyono, Ken
Struzik, Zbigniew R.
Yamamoto, Yoshiharu
Watanabe, Eiichi
Stein, Phyllis K.
Watkins, Lana L.
Blumenthal, James A.
Carney, Robert M.
Increased Non-Gaussianity of Heart Rate Variability Predicts Cardiac Mortality after an Acute Myocardial Infarction
title Increased Non-Gaussianity of Heart Rate Variability Predicts Cardiac Mortality after an Acute Myocardial Infarction
title_full Increased Non-Gaussianity of Heart Rate Variability Predicts Cardiac Mortality after an Acute Myocardial Infarction
title_fullStr Increased Non-Gaussianity of Heart Rate Variability Predicts Cardiac Mortality after an Acute Myocardial Infarction
title_full_unstemmed Increased Non-Gaussianity of Heart Rate Variability Predicts Cardiac Mortality after an Acute Myocardial Infarction
title_short Increased Non-Gaussianity of Heart Rate Variability Predicts Cardiac Mortality after an Acute Myocardial Infarction
title_sort increased non-gaussianity of heart rate variability predicts cardiac mortality after an acute myocardial infarction
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3183481/
https://www.ncbi.nlm.nih.gov/pubmed/21994495
http://dx.doi.org/10.3389/fphys.2011.00065
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