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Table 4 Uni- and multivariable regression for the event of bladder distension

From: A co-created nurse-driven catheterisation protocol can reduce bladder distension in acute hip fracture patients - results from a longitudinal observational study

 

Univariablea

Multivariableb

Variable

n missing

Value

n (%) of event

OR (95%CI) bladder distension

p-value

Area under ROC curve (95%CI)

OR (95%CI) bladder distension

p-value

Years

0

Year 1

165 (40.6)

     
 

Year 2

211 (32.2)

     
 

Year 3

154 (22.0)

     
 

Year 4

84 (12.2)

     
 

Year 5

57 (9.1)

0.60 (0.56–0.64)

< 0.0001

0.68 (0.66–0.70)

0.61 (0.57–0.66)

< 0.0001

Gender

0

Female

447 (20.5)

     
 

Male

224 (24.9)

1.28 (1.07–1.54)

0.0082

0.53 (0.51–0.55)

1.28 (1.05–1.56)

0.013

Age+

0

65–80

208 (21.1)

     
 

81–88

233 (21.1)

     
 

89–104

230 (23.3)

1.06 (0.95–1.18)

0.27

0.52 (0.49–0.54)

1.08 (0.96–1.21)

0.21

Hospital Length of stay++

0

3–8

158 (16.5)

     
 

9–13

228 (19.8)

     
 

14–68

285 (29.5)

1.36 (1.24–1.48)

< 0.0001

0.59 (0.57–0.62)

1.16 (1.05–1.27)

0.0019

Diabetes

0

yes

110 (23.1)

     
 

no

561 (21.6)

0.91 (0.72–1.15)

0.45

0.51 (0.49–0.52)

0.89 (0.70–1.14)

0.36

ASA score

0

1

13 (15.3)

     
 

2

268 (21.8)

     
 

3

353 (22.4)

     
 

4

37 (19.6)

1.03 (0.90–1.18)

0.64

0.50 (0.48–0.53)

0.96 (0.83–1.10)

0.55

  1. P-values, OR and area under ROC curve were based on original values and not on stratified groups
  2. OR  the ratio of the odds of an increase in the predictor of one unit
  3. +OR is the ratio of the odd of an increase in the predictor of ten units and ++of seven units
  4. aAll tests were performed with univariable logistic regression
  5. bMultivariable logistic regression model including: years, gender, age, hospital length of stay, diabetes mellitus and ASA-classification score. Area under ROC curve with 95% CI for multivariable model = 0.69 (0.67–0.71)
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