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Table 2 Univariate logistic regression analysis results identifying the variables that most strongly predicted low urine output. Each day is one measurement (N = 159). A positive sign means that a high value of the variable is associated with a higher incidence of low urine output

From: Detection of low urine output by measuring urinary biomarkers

 

< 1 L / 24 h

 

< 15 mL / kg / 24 h

 

Score

P-value

+ / -

 

Score

Significance

+ / -

Water

23.4

0.001

-

U-osmolality

32.3

0.001

+

Liquid

21.7

0.001

-

Water

32.2

0.001

-

U-osmolality

20.4

0.001

+

Liquid

29.2

0.001

-

Protein intake

9.2

0.002

-

U-creatinine

19.8

0.001

+

Calories

8.9

0.003

-

Cardiac index 1

17.1

0.001

+

Fat intake

7.9

0.005

-

Protein intake

9.2

0.002

-

Age

7.2

0.007

+

Intake of fibers

5.0

0.034

-

U-creatinine

6.6

0.010

+

Calories

4.7

0.031

-

Body weight

4.6

0.031

-

Fat intake

4.5

0.034

-

  1. 1 cardiac output/body surface area; measured with Nexfin non-invasive hemodynamic monitor (BMEYE, Amsterdam, NL)