Five-minute recording of heart rate variability in severe chronic heart failure: Correlates with right ventricular function and prognostic implications
S. Lucreziotti et al., Five-minute recording of heart rate variability in severe chronic heart failure: Correlates with right ventricular function and prognostic implications, AM HEART J, 139(6), 2000, pp. 1088-1095
Citations number
41
Categorie Soggetti
Cardiovascular & Respiratory Systems","Cardiovascular & Hematology Research
ters of disease severity is still unclear. A reduced HRV has been related t
o left but not to right ventricular function parameters. Moreover, the prog
nostic role of spectral measures is not fully defined. We sought to assess
HRV by using a short electrocardiographic recording in ambulatory patients
with severe CHF to investigate the relation of HRV with clinical neurohormo
nal and hemodynamic parameters and to determine its predictive prognostic p
ower.
Methods and Results HRV was obtained from 5-minute electrocardiographic rec
ordings in 75 ambulatory patients with CHF referred for heart transplantati
on screening. Standard frequency-domain parameters (total power, low-freque
ncy power, and high-frequency power) were calculated Prognostic value of th
ese autonomic markers and their correlation with clinical and instrumental
parameters were also assessed. A low low-frequency/high-frequency ratio was
an independent predictor of cardiac events (P = .015). No correlation was
found between New York Heart Association class and HRV, whereas significant
correlations were identified between norepinephrine plasma levels, several
hemodynamic parameters, and spectral measures (P less than or equal to .03
). A reduced HRV, particularly a low-frequency power reduction (P = .000),
was highly related to indexes of right ventricular dysfunction.
Conclusions The current data indicate that spectral analysis of HRV, calcul
ated from short electrocardiographic recordings, may represent a simple but
effective means contributing to risk stratification of patients with sever
e CHF, Autonomic information obtained from this analysis suggests that righ
t ventricular dysfunction may be a critical element determining autonomic i
mbalance in patients with severe CHF.