Heart rate variability used as an arrhythmia risk stratifier after myocardial infarction

被引:59
|
作者
Hohnloser, SH
Klingenheben, T
Zabel, M
Li, YG
机构
[1] Department of Medicine, Division of Cardiology, J.W. Goethe University, Frankfurt
[2] J.W. Goethe University, Dept. of Medicine, Division of Cardiology, 60590 Frankfurt
来源
PACE-PACING AND CLINICAL ELECTROPHYSIOLOGY | 1997年 / 20卷 / 10期
关键词
heart rate variability; risk stratification; myocardial infarction; sudden cardiac death; autonomic nervous system;
D O I
10.1111/j.1540-8159.1997.tb06109.x
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Heart rate variability (HRV) is considered to represent a noninvasive tool to assess cardiac autonomic tone at the level of the sinus node, It has been shown to have predictive power for risk assessment in patients surviving acute myocardial infarction. For this purpose, HRV should be assessed from 24-hour Holter recordings obtained 7-10 days following the infarction. Although there is some recovery of HRV during the first 3 months after infarction, HRV remains reduced in postinfarction patients compared to values obtained in healthy individuals. Compared to assessment of left ventricular function as a risk marker, HRV is superior with respect to prediction of arrhythmic events and sudden death whereas both parameters yield comparative power for prediction of total cardiac mortality. Since the predictive power of HRV analysis alone is relatively low, the combined use of HRV measurements together with traditional risk markers (such as ventricular ectopic beats, signal-averaged EGG, or left ventricular function) results in improved risk prediction with positive predictive accuracy in the range of 30%-50%.
引用
收藏
页码:2594 / 2601
页数:8
相关论文
共 50 条
  • [21] Heart rate variability after acute myocardial infarction in patients treated with atenolol and metoprolol
    Lurje, L
    Wennerblom, B
    Tygesen, H
    Karlsson, T
    Hjalmarson, A
    INTERNATIONAL JOURNAL OF CARDIOLOGY, 1997, 60 (02) : 157 - 164
  • [22] Low frequency spectral component of heart rate variability and myocardial beta-adrenoceptor density after acute myocardial infarction
    Guzzetti, S
    Spyrou, N
    Rosen, SD
    Mezzetti, S
    Martinoli, E
    Foale, RA
    Camici, PG
    BASIC RESEARCH IN CARDIOLOGY, 2002, 97 (01) : 97 - 104
  • [23] Influence of residual ischaemia on heart rate variability after myocardial infarction
    Cerati, D
    Nador, F
    Maestri, R
    Mantica, M
    Binda, A
    Perlini, S
    Vanoli, E
    EUROPEAN HEART JOURNAL, 1997, 18 (01) : 78 - 83
  • [24] Clinical application of heart rate variability after acute myocardial infarction
    Huikuri, Heikki V.
    Stein, Phyllis K.
    FRONTIERS IN PHYSIOLOGY, 2012, 3
  • [25] Impedance Cardiography and Heart Rate Variability for Long-Term Cardiovascular Outcome Prediction After Myocardial Infarction
    Ablonskyte-Dudoniene, Ruta
    Baksyte, Giedre
    Ceponiene, Indre
    Krisciukaitis, Algimantas
    Dregunas, Kestutis
    Ereminiene, Egle
    MEDICINA-LITHUANIA, 2012, 48 (07): : 350 - 358
  • [26] Survival Predictors of Heart Rate Variability After Myocardial Infarction With and Without Low Left Ventricular Ejection Fraction
    Hayano, Junichiro
    Ueda, Norihiro
    Kisohara, Masaya
    Yuda, Emi
    Carney, Robert M.
    Blumenthal, James A.
    FRONTIERS IN NEUROSCIENCE, 2021, 15
  • [27] Heart rate variability dynamics in acute phase of myocardial infarction
    Lusov, V. A.
    Volov, N. A.
    Gordeev, I. G.
    Lebedeva, A. Yu.
    Fedulaev, Yu. N.
    Romashenko, O., V
    RUSSIAN JOURNAL OF CARDIOLOGY, 2007, (03): : 31 - 35
  • [28] 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.
    FRONTIERS IN PHYSIOLOGY, 2011, 2
  • [29] Changes in heart rate, heart rate variability, and heart rate turbulence during evolving reperfused myocardial infarction
    Ortak, J
    Weitz, G
    Wiegand, UKH
    Bode, F
    Eberhardt, F
    Katus, HA
    Richardt, G
    Schunkert, H
    Bonnemeier, H
    PACE-PACING AND CLINICAL ELECTROPHYSIOLOGY, 2005, 28 : S227 - S232
  • [30] Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models
    Arevalo, Hermenegild J.
    Vadakkumpadan, Fijoy
    Guallar, Eliseo
    Jebb, Alexander
    Malamas, Peter
    Wu, Katherine C.
    Trayanova, Natalia A.
    NATURE COMMUNICATIONS, 2016, 7