Table 2 Association between plasma procalcitonin level at admission and all-cause 50-day mortality in multivariable logistic regression analysis

Model #1: Plasma PCT, ROC-defined threshold

81%

0.721 (0.677–0.762)

 Procalcitonin > 4.24 ng/mL

2.58

1.57 to 4.25

0.0002

–

–

 Age (years)

1.02

1.01 to 1.03

0.0007

–

–

 Pathogen genus, Streptococcus

0.52

0.20 to 1.30

0.16

–

–

 Pathogen genus, Staphylococcus

1.59

0.91 to 2.78

0.10

–

–

 Pathogen genus, Klebsiella

1.92

0.81 to 4.54

0.14

–

–

Model #2: Plasma PCT quartiles (continuous)

80%

0.711 (0.669–0.754)

 Procalcitonin, quartiles (continuous)

1.47

1.17 to 1.85

0.001

–

–

 Age (years)

1.02

1.01 to 1.03

0.0007

–

–

 Pathogen genus, Streptococcus

0.52

0.21 to 1.31

0.17

–

–

 Pathogen genus, Staphylococcus

1.55

0.89 to 2.70

0.12

–

–

 Pathogen genus, Klebsiella

1.93

0.82 to 4.55

0.13

–

–

Model #3: Plasma PCT, 4th vs. 1st to 3rd quartiles

81%

0.702 (0.658–0.744)

 Procalcitonin, 4th quartile

2.12

1.26 to 3.54

0.004

–

–

 Age (years)

1.02

1.01 to 1.03

0.0004

–

–

 Pathogen genus, Streptococcus

0.49

0.20 to 1.24

0.13

–

–

 Pathogen genus, Staphylococcus

1.54

0.89 to 2.69

0.13

–

–

 Pathogen genus, Klebsiella

2.07

0.88 to 4.88

0.10

–

–

Model #4: Plasma PCT, 4th vs. 1st quartile

80%

0.723 (0.660–0.780)

 Procalcitonin, 4th quartile

3.30

1.53 to 7.12

0.002

–

–

 Age (years)

1.01

1.00 to 1.02

0.08

–

–

 Pathogen genus, Streptococcus

0.47

0.13 to 1.72

0.25

–

–

 Pathogen genus, Staphylococcus

1.35

0.62 to 2.97

0.45

–

–

 Pathogen genus, Klebsiella

1.93

0.48 to 7.78

0.36

–

–