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. 2022 Jun 27;11(13):3697. doi: 10.3390/jcm11133697

Table 3.

Multivariate analysis for prediction of frequency domain and cardiac and autonomic variables by clinical features.

Dependent Variables Model Variables BETA
(β)
SE p-Value R2
E/I-ratio MGFA −0.36 0.16 0.034 0.15
HF-sBP Sex −0.35 0.17 0.042 0.14
BRS MGFA −0.44 0.15 0.005 0.33
Age −0.35 0.14 0.020
CI Sex 0.33 0.16 0.047 0.17
TPRI Age 0.47 0.14 0.002 0.35
Sex −0.40 0.14 0.002
EDI Age −0.47 0.15 0.003 0.26
IC Age −0.41 0.15 0.011 0.21
Tilt CI Age −0.68 0.12 <0.001 0.52
Sex 0.30 0.12 0.024
Tilt LVWI Age −0.61 0.13 <0.001 0.45
Tilt LF-RRI Age −0.50 0.15 0.002 0.25
Tilt PSD-RRI Age −0.37 0.16 0.028 0.16
Tilt TFC Sex −0.32 0.15 0.043 0.30
DELTA LF/HF-RRI MGFA 0.34 0.16 0.047 0.18

Expiration/inspiration ratio (E/I–ratio), high frequency of systolic blood pressure variability (HF-sBP), baroreflex sensitivity (BRS), cardiac index (CI), total peripheral resistance index (TPRI), end-diastolic index (EDI), index of contractility (IC), left ventricular work index (LVWI), low frequency of heart rate variability (LF-RRI), power spectral density R-R interval (PSD-RRI), thoracic fluid content (TFC), ratio between low and high band for heart rate variability (LF/HF-RRI), standardized beta coefficient (β ), standard error (SE), R, squared (R2).