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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Published inFrontiers in physiology Vol. 2; p. 65
Main Authors Hayano, Junichiro, Kiyono, Ken, Struzik, Zbigniew R, Yamamoto, Yoshiharu, Watanabe, Eiichi, Stein, Phyllis K, Watkins, Lana L, Blumenthal, James A, Carney, Robert M
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Abstract 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.
AbstractList 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.
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-hr Holter monitoring to assess λ and other HRV predictors, including standard deviation of normal-to-normal interval, very-low frequency power, scaling exponent α1 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 nonfatal 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 λ for 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.
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.
Author Struzik, Zbigniew R
Carney, Robert M
Yamamoto, Yoshiharu
Kiyono, Ken
Watanabe, Eiichi
Blumenthal, James A
Watkins, Lana L
Stein, Phyllis K
Hayano, Junichiro
AuthorAffiliation 4 Division of Cardiology, Department of Internal Medicine, Fujita Health University School of Medicine Toyoake, Japan
7 Department of Psychiatry, Washington University School of Medicine St. Louis, MO, USA
6 Department of Psychiatry, Duke University Medical Center Durham, NC, USA
1 Department of Medical Education, Nagoya City University Graduate School of Medical Sciences Nagoya, Japan
5 Department of Medicine, Washington University School of Medicine St. Louis, MO, USA
3 Educational Physiology Laboratory, Graduate School of Education, University of Tokyo Tokyo, Japan
2 College of Engineering, Nihon University Koriyama, Japan
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– name: 4 Division of Cardiology, Department of Internal Medicine, Fujita Health University School of Medicine Toyoake, Japan
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Copyright Copyright © 2011 Hayano, Kiyono, Struzik, Yamamoto, Watanabe, Stein, Watkins, Blumenthal and Carney. 2011
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Keywords heart rate variability
prospective study
ENRICHD study
myocardial infarction
mortality
sudden cardiac death
ambulatory ECG
non-Gaussianity
Language English
License 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.
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Edited by: Riccardo Barbieri, Harvard Medical School, USA
Junichiro Hayano and Ken Kiyono have contributed equally to this work.
This article was submitted to Frontiers in Computational Physiology and Medicine, a specialty of Frontiers in Physiology.
Reviewed by: Omer Berenfeld, University of Michigan, USA; Sarah S. Knox, West Virginia University School of Medicine, USA
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References 10227219 - Lancet. 1999 Apr 24;353(9162):1390-6
8598068 - Circulation. 1996 Mar 1;93(5):1043-65
2019002 - Circ Res. 1991 May;68(5):1471-81
6697463 - Circulation. 1984 Apr;69(4):790-800
18242551 - Heart Rhythm. 2008 Feb;5(2):261-8
16174015 - J Cardiovasc Electrophysiol. 2005 Sep;16(9):954-9
17994942 - Phys Rev E Stat Nonlin Soft Matter Phys. 2007 Oct;76(4 Pt 1):041113
8044959 - Circulation. 1994 Aug;90(2):878-83
2788396 - Arch Intern Med. 1989 Aug;149(8):1785-9
10618303 - Circulation. 2000 Jan 4-11;101(1):47-53
3812275 - Am J Cardiol. 1987 Feb 1;59(4):256-62
11482917 - Eur Heart J. 2001 Aug;22(16):1374-450
14729806 - Heart. 2004 Feb;90(2):217-8
16824842 - Am Heart J. 2006 Jul;152(1):126-35
12939209 - Circulation. 2003 Sep 9;108(10):1221-6
16714188 - Lancet. 2006 May 20;367(9523):1674-81
12813116 - JAMA. 2003 Jun 18;289(23):3106-16
19109245 - Eur Heart J. 2009 Mar;30(5):576-83
11897223 - Am J Cardiol. 2002 Mar 15;89(6):767-9
11538314 - Chaos. 1995;5(1):82-7
15525130 - Phys Rev Lett. 2004 Oct 22;93(17):178103
11907286 - N Engl J Med. 2002 Mar 21;346(12):877-83
1539521 - Am Heart J. 1992 Mar;123(3):704-10
9482439 - Lancet. 1998 Feb 14;351(9101):478-84
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SubjectTerms ambulatory ECG
ENRICHD study
Heart rate variability
Mortality
Myocardial Infarction
Physiology
Sudden cardiac death
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Title Increased non-gaussianity of heart rate variability predicts cardiac mortality after an acute myocardial infarction
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