Table 4 Prediction model of good outcome based on connectivity analysis and sepsis severity.

From: Predicting outcomes in patients with sepsis-associated encephalopathy using prefrontal functional connectivity analysis

 

Univariate analysis

Model 1 (Density 0.6 & APACHE III)

Model 2 (Density 0.6 & SOFA)

OR (95% CI)

P‡

OR (95% CI)

P‡

OR (95% CI)

P‡

Density 0.6 (per 0.1 unit increase)

2.71 (1.10–6.67)

0.03

5.05 (1.28–19.84)

0.02

4.31 (0.93–19.83)

0.06

APACHE III

(10 unit increase)

0.59 (0.43–0.81)

0.001

0.47 (0.29–0.75)

0.001

  

SOFA

(1 unit increase)

0.62 (0.47–0.81)

0.001

  

0.60 (0.43–0.82)

0.001

AUC (95% CI)

      

Density 0.6 (per 0.1 unit increase)

0.72 (0.56–0.88)

     

APACHE III

(10 unit increase)

0.86 (0.73–0.98)

     

SOFA

(1 unit increase)

0.89 (0.79–0.99)

     

Model 1 (Density 0.6 & APACHE III)

  

0.95 (0.89–1.00)

   

Model 2 (Density 0.6 & SOFA)

    

0.94 (0.87–1.00)

 
  1. OR: odds ratio; APACHE II: Acute Physiology And Chronic Health Evaluation III; SOFA: Sequential Organ Failure Assessment.
  2. †P-value by logistic regression using Firth’s penalized maximum likelihood method.
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