Individual dynamics of heart rate variability in treated cardiac patients
Abstract
Aim. To identify the best markers of heart rate variability (HRV) dynamic in treated cardiac patients.
Material and methods. In total, 145 pairs of 24-hour HRV measurements were selected from the treated patients with arterial hypertension, coronary heart disease, and hypercholesterolemia. The analysis included the most widely used HRV parameters, such as SDNN, SDNN index, r-MSSD, triangular index, LF (low-frequency spectre of HRV), HF (high-frequency spectre of HRV), and total power (TP) of HRV spectre. All parameters were assessed throughout 24 hours, during day-time activity and night-time sleep. HRV parameters were regarded as being changed if the difference between two subsequent measurements was over 5%.
Results. The same direction of changes in all HRV parameters during 24 hours, day-time and night-time was observed only in 8 cases (7,8%). Spearman’s correlation analysis demonstrated a strong correlation (r>0,6) between SDNN index24, r-MSSD24, ОМ24 and changes in other HRV parameters. Unidirectional changes for SDNN index24, r-MSSD24 and ОМ24 were observed in 68,9% of the cases; for SDNN index24 and ОМ24 — in 87,4%; for SDNN index24 and r-MSSD24 — in 71,8%; and for r-MSSD24 and ОМ24 — in 81,5%.
Conclusion. In assessing HRV dynamics, SDNNindex24 was the most informative parameter, since its dynamics coincided with the temporal and spectral HRV parameter dynamics in 71%. For r-MSSD24, this percentage reached 67%, and for ОМ24 — 70%.
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For citations:
Parnes E.Ya. Individual dynamics of heart rate variability in treated cardiac patients. Cardiovascular Therapy and Prevention. 2009;8(5):57-61. (In Russ.)
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