Slope of autocorrelation function of detrended 24-hour RR-intervals independently predicts mortality in postinfarction patients

A. Berkowitsch, A. Bauer, R. Schneider, P. Barthel, H. Greiss, H. J. Schneider, H. F. Pitschner, G. Schmidt

Research output: Contribution to journalConference articlepeer-review

Abstract

Although Heart Rate Variability (HRV) was shown to be associated with mortality of post myocardial infarction (MI) patients, the clinical use of conventional HRV parameters is limited. We proposed new method based on the analysis of autocorrelation function (ACF) of detrended RR interval recordings. One thousand four hundred fifty five consecutive post MI patients were enrolled into the prospective blinded study at German Heart Center in Munich. The RR intervals were extracted from 24 h Holler recordings using integrated software. The linear trend was estimated and subtracted from RR recordings. The ACF(m) was calculated for original and detrended RR-intervals. The slope (AS) of regression line fitted for ACF (m; m=1,10) was dichotomized at AS=-0.0025. AS >-0.0025 was considered as pathological. The significant association of pathological AS was revealed in univariate analysis (Log Rank =39.19, p<0.0001) and was confirmed in multivariate Cox-Model (p<0.001).

Original languageEnglish
Pages (from-to)733-736
Number of pages4
JournalComputers in Cardiology
Volume31
StatePublished - 2004
EventComputers in Cardiology 2004 - Chicago, IL, United States
Duration: 19 Sep 200422 Sep 2004

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