Table 3 Univariable and multivariable logistic regression model to predict the presence of heart failure.

From: Usefulness of heart rhythm complexity in heart failure detection and diagnosis

 

Univariable logistic regression

Multivariable logistic regression

β (95% CI)

P

OR (95% CI)

P

Mean RR

0.993 (0.989 ~ 0.996)

 < 0.001

  

SDRR

0.928 (0.898 ~ 0.959)

 < 0.001

  

pNN20

0.009 (0.001 ~ 0.096)

 < 0.001

0.005 (< 0.001 ~ 0.202)

0.005

pNN50

0.065 (0.001 ~ 6.777)

0.249

  

VLF

0.997 (0.996 ~ 0.999)

 < 0.001

  

LF

0.991 (0.987 ~ 0.995)

 < 0.001

  

HF

0.992 (0.984 ~ 1.000)

0.037

  

LF/HF ratio

0.724 (0.607 ~ 0.863)

 < 0.001

  

DFAα1

0.039 (0.009 ~ 0.171)

 < 0.001

0.021 (0.002 ~ 0.202)

0.001

DFAα2

760.450 (11.826 ~ 52,836.633)

0.002

 < 0.001 (< 0.001 ~ 0.481)

0.030

Slope 5

 < 0.001 (< 0.001 ~ 0.004)

 < 0.001

  

Scale 5

0.002 (< 0.001 ~ 0.015)

 < 0.001

0.002 (< 0.001 ~ 0.038)

 < 0.001

Area 1–5

0.283 (0.180 ~ 0.444)

 < 0.001

  

Area 6–20

0.697 (0.608 ~ 0.800)

 < 0.001

  
  1. *In multivariable logistic regression, the mean RR, SDRR, VLF, LF, HF, LF/HF ratio, slope 5, area 1–5 and area 6–20 were excluded from the model.
  2. SDRR standard deviation of normal RR intervals, pNN20 percentage of the absolute change in consecutive normal RR interval exceeds 20 ms, pNN50 percentage of the absolute change in consecutive normal RR interval exceeds 50 ms, VLF very low frequency, LF low frequency, HF high frequency, DFA detrended fluctuation analysis.
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