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Table 3 Logistic regression models for predicting in-hospital mortality

From: Prognostic accuracy of SIRS criteria and qSOFA score for in-hospital mortality among influenza patients in the emergency department

 

Univariate Analysis

Model (SIRS)

Model (qSOFA)

OR

p

95% CI

OR

p

95% CI

OR

p

95% CI

Sex (M vs F)

2.93

< 0.001

(1.86–4.62)

2.47

< 0.001

(1.53–3.98)

2.29

0.001

(1.41–3.72)

Age

1.04

< 0.001

(1.03–1.05)

1.03

< 0.001

(1.02–1.05)

1.02

0.01

(1.01–1.04)

CCI

1.13

< 0.001

(1.09–1.18)

0.96

0.262

(0.90–1.03)

0.95

0.167

(0.89–1.02)

SIRS

1.52

< 0.001

(1.21–1.91)

      

SIRS 0

1.00

  

1.00

     

1

1.03

0.953

(0.34–3.13)

1.26

0.689

(0.40–3.97)

   

2

0.72

0.54

(0.24–2.09)

0.94

0.92

(0.31–2.87)

   

3

1.51

0.437

(0.53–4.30)

2.52

0.095

(0.85–7.43)

   

4

4.18

0.013

(1.36–12.87)

4.81

0.009

(1.49–15.49)

   

qSOFA

4.72

< 0.001

(3.67–6.07)

      

qSOFA 0

1.00

     

1

  

1

12.09

< 0.001

(6.96–21.01)

   

7.72

< 0.001

(4.35–13.70)

2

29.63

< 0.001

(15.32–57.31)

   

11.92

< 0.001

(5.74–24.77)

3

52.08

< 0.001

(12.96–209.28)

   

22.46

< 0.001

(4.33–116.61)

Hospital stay

1.04

< 0.001

(1.03–1.05)

1.06

< 0.001

(1.05–1.07)

1.05

< 0.001

(1.04–1.06)

    

AIC = 717.991

AIC = 664.974

  1. OR odds ratio, CI confidence interval, AIC Akaike Information Criterion, ED emergency department, ICU intensive care unit, SIRS Systemic Inflammatory Response Syndrome, qSOFA quick Sequential Organ Failure Assessment