Table 3.

MV logistic regression model results for predicting LR admission and infection identification

ParameterOdds ratio95% CIP value
Baseline variables, AUC = 0.70 for LR admission    
Initial heart rate 1.19 0.99-1.42 .060 
Initial RR 0.96 0.93-0.99 .017 
AMC (×10) 0.61 0.35-1.08 .093 
24-h variables, AUC = 0.82 for LR admission    
Highest fever 2.65 1.44-4.88 .0018 
Largest heart rate (per 10 BPM) 1.53 1.17-2.00 .0018 
Highest respiratory rate 0.01 0-4.79 .150 
Age (y) 0.97 0.93-1.00 .050 
Baseline variables, AUC = 0.63 for infection identification    
Initial heart rate (per 10 BPM) 1.11 0.97-1.26 .14 
ALC 0.10 0.02-0.60 .012 
Initial respiratory rate 1.16 1.03-1.30 .015 
24-h variables, AUC = 0.72 for infection identification    
Highest respiratory rate 1.12 1.03-1.21 .0055 
Largest heart rate (per 10 BPM) 1.06 0.91-1.22 .480 
Highest fever 1.66 1.09-2.54 .018 
ALC 0.10 0.02-0.70 .02 
ParameterOdds ratio95% CIP value
Baseline variables, AUC = 0.70 for LR admission    
Initial heart rate 1.19 0.99-1.42 .060 
Initial RR 0.96 0.93-0.99 .017 
AMC (×10) 0.61 0.35-1.08 .093 
24-h variables, AUC = 0.82 for LR admission    
Highest fever 2.65 1.44-4.88 .0018 
Largest heart rate (per 10 BPM) 1.53 1.17-2.00 .0018 
Highest respiratory rate 0.01 0-4.79 .150 
Age (y) 0.97 0.93-1.00 .050 
Baseline variables, AUC = 0.63 for infection identification    
Initial heart rate (per 10 BPM) 1.11 0.97-1.26 .14 
ALC 0.10 0.02-0.60 .012 
Initial respiratory rate 1.16 1.03-1.30 .015 
24-h variables, AUC = 0.72 for infection identification    
Highest respiratory rate 1.12 1.03-1.21 .0055 
Largest heart rate (per 10 BPM) 1.06 0.91-1.22 .480 
Highest fever 1.66 1.09-2.54 .018 
ALC 0.10 0.02-0.70 .02 
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