New Biophysical Approach in Analysis of Heart Rate Variability for Increasing its Predictive Value

Abstract

Background. Regarding the high incidence of cardiovascular diseases, it is critical to find predictors. The aim of this study is to appreciate the predivtive value of of recently-found parameters of cardiorhythmogram analysis applying the new biophysical approach for predicting the recurrence of atrial fibrillation. Material and methods. This is a case-series study, where 350 cardiorhythmograms were assessed. For assessment both methods were applied, the standard heart rate variability analysis and new approach by the parameters HF counterregulation and LF drops. Results. The both newly-found parameters predict reliably atrial fibrillation recurrence. The significance of the parameter HF counterregulation is p < 0.0001, in case of the parameter LF drops it is p < 0.001. Conclusions. In case if prediction is needed, the standard heart rate variability should be completed by the new biophysical approach, applying the parameters HF counterregulation and LF drops. Steady-state cardiorhythmograms with events of unstationarity can be realiably analysed just by these parameters. Events of unstationarity are informative sources for prediction.