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Table 3 Univariate logistic regression result

From: Predicting deterioration of patients with early sepsis at the emergency department using continuous heart rate variability analysis: a model-based approach

 

Univariate

Multivariate

Characteristic

OR1

95% CI1

p-value

OR1

95% CI1

p-value

AVNN

0.00

0.00, 0.61

0.051

   

SDNN

5.93

0.00, 34,389

0.7

   

NN50

1.00

1.00, 1.01

0.3

   

SampEn

0.15

0.01, 1.10

0.090

0.12

0.01, 0.86

0.062

CV

20.2

0.00, 12,825

0.4

   

SD2

2.24

0.00, 7,946

0.9

   

ULF

0.00

0.00, 1.05

0.085

   

VLF

0.01

0.00, 651

0.5

   

LF

1.20e + 05

3.473, 1.14e + 14

0.086

   

HF

9430

2.699, 1.83e + 10

0.069

2.73e + 26

2.79e + 06, 1.46e + 64

0.048

LFnorm

0.97

0.90, 1.07

0.5

   

HFnorm

1.03

0.93, 1.12

0.5

   

LFHFratio

0.65

0.34, 1.27

0.2

0.54

0.25, 1.22

0.12

TotalPower

18.4

0.42, 724

0.082

0.00

0.00, 0.02

0.064

  1. Of features calculated between zero and 3 h after admission for progressive organ dysfunction. Variables with p-value < 0.20 were selected for multivariate forward stepwise logistic regression, shown on the right
  2. 1 OR = Odds Ratio, CI = Confidence Interval