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Europace 2001 3(1):39-45; doi:10.1053/eupc.2000.0144
© 2001 by European Society of Cardiology
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HEART RATE VARIABILITY

Scatterplots of RR and RT interval variability bring evidence for diverse non-linear dynamics of heart rate and ventricular repolarization duration in coronary heart disease

M. Sosnowski, Z. Czyz and M. Tendera

3rd Division of Cardiology, Silesian School of Medicine, Silesian Medical Centre Katowice, Poland

Abstract

OBJECTIVE: QT interval prolongation and increased spatial QT dispersion are important factors increasing the risk in coronary heart disease. The authors studied the spontaneous beat-to-beat variability of ventricular repolarization (RT intervals) in normal subjects and in patients after myocardial infarction (MI) in order to define the determinants of abnormal temporal dispersion.

METHODS: Seventy-six patients with a history of MI (17 female, 59 male, aged 52±10 years) comprised the study group. Forty-seven patients had preserved left ventricular ejection fraction (EF≥40%, MI-A) and 29 patients had left ventricular dysfunction (EF<40%, MI-B). Twenty healthy volunteers (6 female, 14 male, aged 25±5 years) were included as the control group. An ECG signal of 512 heartbeats was recorded in the supine position. After analogue-to-digital conversion (16 bit, 2 kHz), the fiducial points of the R wave and T wave were determined. The RR and RT variability (V) assessed in the time domain as the standard deviations of RR and RT (ms), as well as the coefficients of scatterplots of RR and RT intervals.

RESULTS: As expected, the standard deviation of RR was significantly reduced in MI patients. The magnitude of RTV in the time domain was similar in the controls and in both subgroups of MI patients. The complexity of heart rate variability (HRV) was slightly, but significantly, reduced in the MI-B group, but not significantly in the MI-A heart group. The complexity of RTV behaved in the opposite manner, being increased in both MI subgroups with the lower mean in the MI-B patients. The different behaviour of HRV and RTV was indicated by the increased ratio of RR/RT coefficients, which reached a significantly greater value in the MI-B group.

CONCLUSION: The authors have described different patterns of scatterplot of short-term HRV and RTV in normal subjects, which confirmed that RTV is a less complex phenomenon than HRV. In patients after MI, the complexity of HRV diminishes, while the complexity of RTV increases. These opposing changes are more pronounced in patients with left ventricular dysfunction. A possible prognostic value of this feature is unknown and remains to be elucidated in future prospective studies.

Key Words: Complexity, temporal dispersion, computerised electrocardiograms


Correspondence: M. Sosnowski, 3rd Division of Cardiology, Silesian School of Medicine, Silesian Medical Centre, Ziolowa St. 47, 40-635 Katowice, Poland.


References

[1] Moss AJ. Measurement of the QT interval and the risk associated with QTc prolongation. A review. Am J Cardiol 1993; 72: 23B–25B.

[2] Day ChP, McComb JM, Campbell RWF. QT dispersion: An indicator of arrhythmia risk in patients with long QT syndrome. Br Heart J 1990; 63: 342–344.

[3] Zabel M, Klingenheben T, Franz MR, Hohnloser SH. Assessment of QT dispersion for prediction of mortality or arrhythmic events after myocardial infarction: results of a prospective, long-term follow-up study. Circulation 1998; 97: 2543–2550.

[4] Merri M, Alberti M, Hall WJ, et al. Repolarization duration variability: A tool to quantify the autonomic balance at the ventricle. Comput Cardiol 1990; 339–342.

[5] Nollo G, Speranza G, Grasso R, et al. Spontaneous beat-to-beat variability of the ventricular repolarization duration. J Electrocardiol 1992; 25: 9–17.

[6] Muller Ch, Dambacher M, Spadacini G, et al. Power spectral changes of spontaneous beat-to-beat variability of RT interval in patients with coronary artery disease. Ann Noninv Electrocardiol 1997; 2: 114–120.

[7] Berger RD, Kasper EK, Baughman KL, et al. Beat-to-beat QT interval variability: a novel evidence for repolarization lability in ischemic and nonischemic dilated cardiomyopathy. Circulation 1997; 96: 1557–1565.

[8] Theres H, Romberg D, Leuthold T, et al. Autonomic effects of dipyridamole stress testing on frequency distribution of RR and QT interval variability. Pacing Clin Electrophysiol 1998; 11: 2401–2406.

[9] Denton TA, Diamond GA, Helfant RH, et al. Fascinating rhythm: A primer on chaos theory and its application to cardiology. Am Heart J 1990; 120: 1219–1440.

[10] Goldberger AL. Nonlinear dynamics for clinicians: chaos theory, fractals and complexity at the bedside. Lancet 1996; 347: 1312–1314.

[11] Lombardi F. Chaos theory, heart rate variability, and arrhythmic mortality. Circulation 2000; 101: 8–11.

[12] Sosnowski M, Czyz Z, Petelenz T, et al. Evaluation of nonlinear dynamics of ventricular repolarization in normal subjects and in patients after myocardial infarction. Ann Noninv Electrocardiol 1997; 2: 104–113.

[13] Woo MA, Stevenson WG, Moser DK, Middlekauff HR. Complex heart rate variability and serum norepinephrine levels in patients with advanced heart failure. J Am Coll Cardiol 1994; 23: 565–569.

[14] Huikuri HV, Seppanen T, Koistinen M, 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. Circulation 1996; 93: 1834–1836.

[15] Tulppo MP, Makikallio TH, Seppanen T, et al. Heart rate dynamics during accentuated sympathovagal interaction. Am J Physiol 1998; 274: H810–816.

[16] Baranowski R, Zebrowski JJ, Poplawska W, et al. 3-dimensional Poincare plots of the QT intervals – an approach to nonlinear QT analysis. Comput Cardiol 1995; 789–792.

[17] Huikuri HV, Airaksinen KEH, Koistinen MJ, et al. Two-dimensional vector analysis of beat-to-beat dynamics of ventricular repolarization. Ann Noninv Electrocardiol 1997; 2: 121–125.

[18] Sosnowski M, Czyz Z, Petelenz T, et al. Clinical correlations of nonlinear dynamics of heart period and ventricular repolarization in patients after myocardial infarction. In Liebman J (Ed.). Electrocardiology '96: From the Cell to the Body Surface 1997; Singapore World Scientific Publishing Co pp. 399–402.

[19] Breithardt G, Cain Me, El-Sherif N, et al. Standards for analysis of ventricular late potentials using high-resolution or signal-averaged electrocardiography: A statement by a Task Force Committee of the European Society of Cardiology, the Americal Heart Association, and the Americal College of Cardiology. J Am Coll Cardiol 1991; 17: 999–1006.

[20] Sosnowski M, Czyz Z, Petelenz T. Could we really determine the T-wave duration. An answer comes from T-wave triggered signal averaged ECG. Comput Cardiol 1995; 781–784.

[21] Franz MR. Methods and theory of monophasic action potential recordings. Prog Cardiovasc Dis 1991; 33: 347–368.

[22] Nearing BD, Oesterle SN, Verrier RL. Quantification of ischemia induced vulnerability by precordial T wave alternans analysis in dog and human. Cardiovasc Res 1994; 28: 1440–1449.

[23] Rosenbaum DS, Jackson LE, Smith JM. Electrical alternans and vulnerability to ventricular arrhythmias. N Engl J Med 1994; 330: 235–241.

[24] Taggart P, Sutton P, Lab M. Interaction between ventricular loading and repolarization. Relevance to arrhythmogenesis. Br Heart J 1992; 67: 213–215.

[25] Stilli D, Aimi B, Sqoifo A, et al. Dependence of temporal variability of ventricular recovery on myocardial fibrosis. Role of mechanoelectric feedback? Cardiovasc Res 1998; 37: 58–65.

[26] Elbert T, Ray WJ, Kowalik ZJ. Chaos and physiology: deterministic chaos in excitable cell assemblies. Physiol Rev 1994; 74: 1–47.

[27] Hnatkova K, Cope X, Staunton A, Malik M. Numeric processing of Lorenz plot of R-R intervals from long-term ECGs. Comparison with time-domain measures of heart rate variability for risk stratification after myocardial infarction. J Electrocardiol 1995; 26: 74–80.


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