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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