Relation of heart rate dynamics to the occurrence of myocardial ischemia after coronary artery bypass grafting.

Postoperative myocardial ischemia is a common finding after coronary artery bypass grafting (CABG) and is associated with an adverse short-term clinical outcome. The reasons and pathophysiologic background for the occurrence of ischemia after CABG are not well established. We tested the hypothesis that altered heart rate (HR) behavior precedes the onset of myocardial ischemic episodes in patients after CABG. Time-domain HR variability measurements, along with analysis of Poincaré plots and fractal scaling analysis were assessed in 40 CABG patients from 48-hour postoperative Holter recordings. Twenty patients experienced 195 ischemic episodes during the postoperative course. In the univariate analysis of HR variability measurements of the first postoperative day (POD), the increased ratio between the short-term (SD1) and long-term (SD2) HR variability analyzed from the Poincaré plot and the decreased short- and intermediate-term fractal scaling exponents alpha(1) and alpha(2) were significantly associated with ischemia during the study period (p <0.01, p <0.05, and p <0.05, respectively). In the multivariate model, the increased SD1/SD2 ratio of the first POD was the most powerful independent predictor of all possible confounding variables for the occurrence of postoperative ischemia (corresponding to a change of 0.15 U; odds ratio 2.2 and 95% confidence interval 1.2 to 5.7; p <0.01). Altered HR dynamics have been associated with myocardial ischemic episodes in patients after CABG, suggesting that the autonomic nervous system has an important role in the pathogenesis of myocardial ischemia in the postoperative phase of CABG.

[1]  T Seppänen,et al.  Abnormalities in beat-to-beat dynamics of heart rate before the spontaneous onset of life-threatening ventricular tachyarrhythmias in patients with prior myocardial infarction. , 1996, Circulation.

[2]  T. Seppänen,et al.  Quantitative beat-to-beat analysis of heart rate dynamics during exercise. , 1996, The American journal of physiology.

[3]  W. Browner,et al.  Perioperative Myocardial Ischemia: Importance of the Preoperative Ischemic Pattern , 1988, Anesthesiology.

[4]  R B Schuessler,et al.  RR interval dynamics before atrial fibrillation in patients after coronary artery bypass graft surgery. , 1998, Circulation.

[5]  Chi-Sang Poon,et al.  Decrease of cardiac chaos in congestive heart failure , 1997, Nature.

[6]  W. Browner,et al.  Association of Perioperative Myocardial Ischemia with Cardiac Morbidity and Mortality in Men Undergoing Noncardiac Surgery , 1990 .

[7]  A L Goldberger,et al.  Fractal correlation properties of R-R interval dynamics and mortality in patients with depressed left ventricular function after an acute myocardial infarction. , 2000, Circulation.

[8]  W. Remme,et al.  Systemic and cardiac neuroendocrine activation and severity of myocardial ischemia in humans. , 1994, Journal of the American College of Cardiology.

[9]  W. Browner,et al.  Prognostic importance of postbypass regional wall-motion abnormalities in patients undergoing coronary artery bypass graft surgery. SPI Research Group. , 1989, Anesthesiology.

[10]  C. Peng,et al.  Age-related alterations in the fractal scaling of cardiac interbeat interval dynamics. , 1996, The American journal of physiology.

[11]  A. Goldberger Non-linear dynamics for clinicians: chaos theory, fractals, and complexity at the bedside , 1996, The Lancet.

[12]  G. Breithardt,et al.  Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. , 1996 .

[13]  Ronald J. Prineas,et al.  The Minnesota code manual of electrocardiographic findings : standards and procedures for measurement and classification , 1982 .

[14]  J. Ramsay,et al.  Electrocardiographic and Hemodynamic Changes and Their Association with Myocardial Infarction during Coronary Artery Bypass Surgery: A Multicenter Study , 1997, Anesthesiology.

[15]  R C Smith,et al.  Postoperative myocardial ischemia in patients undergoing coronary artery bypass graft surgery. S.P.I. Research Group. , 1991, Anesthesiology.

[16]  H. Stanley,et al.  Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series. , 1995, Chaos.

[17]  A. Malliani,et al.  Heart rate variability. Standards of measurement, physiological interpretation, and clinical use , 1996 .

[18]  C. Peng,et al.  Fractal analysis of heart rate dynamics as a predictor of mortality in patients with depressed left ventricular function after acute myocardial infarction. TRACE Investigators. TRAndolapril Cardiac Evaluation. , 1999, The American journal of cardiology.

[19]  W. Browner,et al.  PERIOPERATIVE MYOCARDIAL ISCHEMIA , 1987 .

[20]  H. Huikuri,et al.  Correlation Properties and Complexity of Perioperative RR-Interval Dynamics in Coronary Artery Bypass Surgery Patients , 2000, Anesthesiology.

[21]  W. Stevenson,et al.  Complex heart rate variability and serum norepinephrine levels in patients with advanced heart failure. , 1994, Journal of the American College of Cardiology.