Fractal correlation properties of R-R interval dynamics and mortality in patients with depressed left ventricular function after an acute myocardial infarction

被引:465
作者
Huikuri, HV
Mäkikallio, TH
Peng, CK
Goldberger, AL
Hintze, U
Moller, M
机构
[1] Univ Oulu, Dept Med, Div Cardiol, SF-90220 Oulu, Finland
[2] Odense Univ Hosp, Dept Cardiol, DK-5000 Odense, Denmark
[3] Harvard Univ, Sch Med, Margret & HA Rey Lab Nonlinear Dynam Med, Boston, MA USA
[4] Harvard Univ, Sch Med, Beth Israel Deaconess Med Ctr, Boston, MA USA
关键词
mortality; heart rate; infarction;
D O I
10.1161/01.CIR.101.1.47
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background-Preliminary data suggest that the analysis of R-R interval variability by fractal analysis methods may provide clinically useful information on patients with heart failure. The purpose of this study was to compare the prognostic power of new fractal and traditional measures of R-R interval variability as predictors of death after acute myocardial infarction. Methods and Results-Time and frequency domain heart rate (HR) variability measures, along with short- and long-term correlation (fractal) properties of R-R intervals (exponents alpha(1) and alpha(2)) and power-law scaling of the power spectra (exponent beta), were assessed from 24-hour Holter recordings in 446 survivors of acute myocardial infarction with a depressed left ventricular function (ejection fraction less than or equal to 35%). During a mean+/-SD follow-up period of 685+/-360 days, 114 patients died (25.6%), with 75 deaths classified as arrhythmic (17.0%) and 28 as nonarrhythmic (6.3%) cardiac deaths. Several traditional and fractal measures of R-R interval variability were significant univariate predictors of all-cause mortality. Reduced short-term scaling exponent alpha(1), was the most powerful R-R interval variability measure as a predictor of all-cause mortality (alpha(1) <0.75, relative risk 3.0, 95% confidence interval 2.5 to 4.2, P<0.001). It remained an independent predictor of death (P<0.001) after adjustment for other postinfarction risk markers, such as age, ejection fraction, NYHA class, and medication, Reduced alpha(1) predicted both arrhythmic death (P<0.001) and nonarrhythmic cardiac death (P<0.001). Conclusions-Analysis of the fractal characteristics of short-term R-R interval dynamics yields more powerful prognostic information than the traditional measures of HR variability among patients with depressed left ventricular function after an acute myocardial infarction.
引用
收藏
页码:47 / 53
页数:7
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