Prolongations of cardiac cycles have a significantly larger contribution to short-term heart rate variability than shorteningsthis is called heart rate asymmetry. Our aim is to establish the existence of blood pressure asymmetry phenomenon, which has not been done so far. We used 30-min resting continuous recordings of finger pressure waveforms from 227 healthy young volunteers (19-31 years old; 97 female), and performed Poincaré plot analysis of systolic blood pressure (SBP) to quantify the effect. Median contribution of SBP increases (C i ) to short-term blood pressure variability was 52.8% (inter-quartile range: 50.9-55.1%) and median number of SBP increases (N i ) was 48.8% (inter-quartile range: 47.2-50.1%). The C i 450% was found in 82% (Po0.0001; binomial test) and N i o50% in 75% (Po0.0001) of the subjects. Although SBP increases are significantly less abundant than reductions, their contribution to short-term blood pressure variability is significantly larger, which means that short-term blood pressure variability is asymmetric. SBP increases and reductions have unequal contribution to short-term blood pressure variability at supine rest in young healthy people. As this asymmetric behavior of blood pressure variability is present in most of the healthy studied people at rest, it can be concluded that blood pressure asymmetry is a physiological phenomenon. Keywords: blood pressure asymmetry; blood pressure variability; heart rate asymmetry; heart rate variability; sympatheticparasympathetic balance
INTRODUCTIONBoth heart rate variability (HRV) and blood pressure variability (BPV) are related to autonomic activity and provide some information on the mechanisms regulating the cardiovascular system. 1-6 Various physiological oscillations (for example, respiration, Mayer waves) and cardiovascular reflexes (for example, arterial and cardiopulmonary baroreflexes) are responsible for HRV and BPV. [1][2][3][4][6][7][8][9] A number of mathematical approaches like the time-domain analysis, spectral analysis, graphic or nonlinear methods have been applied in the analysis of HRV and BPV. [1][2][3][4][5][6][9][10][11][12][13] Even though heart rate and blood pressure are different cardiovascular signals, very often the same techniques are used for the quantification of both HRV and BPV. 1,[3][4][5][6][7][8][9]13 On the other hand, descriptors of baroreflex function like baroreflex sensitivity and baroreflex delay (the delay of sinus node response to a change in blood pressure) reflect the blood pressure influence on heart rate more directly. 3,9,14 Most of the methods applied to the analysis of HRV and BPV look at the changes of the duration of cardiac cycle of sinus origin (RR) intervals or blood pressure, but do not analyze their direction, that is, whether they represent increases or decreases of heart rate or blood