Abstract
Interplay between heart rate and its variability: a prognostic game
Highlights
In the last decades, heart rate (HR) and heart rate variability (HRV) were extensively investigated in various clinical and laboratory settings and proved to be significant risk factors for different outcomes and patients’ populations (Kannel et al, 1987; Bravi et al, 2011; Antoni et al, 2012)
A new approach which enables to weaken or strengthen the association between HR and its variability has been proposed (Sacha et al, 2013a). The principles of this method are simple, i.e., by division of RR interval tachograms by the corresponding average RR intervals, the variability of RR intervals of slow HR is attenuated, but that of fast HR is relatively amplified and the resulting HRV loses its correlation with HR
Recent studies with implementation of this method have shown that HR may have different impact on the prognostic ability of HRV for different outcomes (Sacha et al, 2013c). It seems that for populations and events where HR is a significant risk factor the enhancement of its impact improves the prognostic value of HRV, for groups and outcomes where HR is not or is a weak risk factor, the exclusion of its influence increases the HRV prediction capacity (Sacha et al, 2013c, 2014; Sacha, 2014a,b)
Summary
Heart rate (HR) and heart rate variability (HRV) were extensively investigated in various clinical and laboratory settings and proved to be significant risk factors for different outcomes and patients’ populations (Kannel et al, 1987; Bravi et al, 2011; Antoni et al, 2012). A new approach which enables to weaken (or even eliminate) or strengthen the association between HR and its variability has been proposed (Sacha et al, 2013a).
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