Table 3 Multiple Logistic Regression Models Predicting Acute Kidney Injury and Mortality in the Total Population Performed after Propensity Score Matching (3:1) (n = 848)

Age (years)

1.03 (1.02, 1.04)

< 0.001

1.03 (1.01, 1.05)

0.007

Length of ICU Stay (hours)

1.003 (1.001, 1.004)

< 0.001

1.002 (1.001, 1.003)

< 0.001

Insurance (ref = Other)

0.78 (0.51, 1.21)

0.27

1.03 (0.44, 2.39)

0.95

 Black

1.59 (1.18, 2.16)

0.04

1.31 (0.78,

0.64

 Other/Unknown

1.14 (0.58, 2.24)

0.76

2.20)

2.28 (0.83, 6.29)

0.16

 Biological Sex (ref = Male)

0.70 (0.52, 0.93)

0.01

0.80 (0.48, 1.32)

0.38

 Hypertension (ref = No)

0.78 (0.57, 1.07)

0.12

1.30 (0.77, 2.20)

0.33

Diabetes (ref = No)

0.85 (0.50, 1.45)

0.55

0.87 (0.33, 2.33)

0.78

Vasoactive Drug Use* (ref = No)

1.54 (0.98, 2.40)

0.06

1.46 (0.81, 2.63)

0.21

IV vitamin C (ref = No)

2.07 (1.46, 2.93)

< 0.001

1.67 (1.003, 2.78)

0.04

AKI

3.21 (1.70, 6.03)

< 0.001