Table 4 Results of logistic regression analyses to compare secondary outcomes between the bicycle accident (n = 102) and non-bicycle accident (n = 773) groups

More dependent at discharge destination

 Model without covariates:

  Fracture caused by bicycle accident

0.66

0.41, 1.06

0.085

 Model with covariates:

  Fracture caused by bicycle accident

0.79

0.49, 1.29

0.352

  Age (reference: one year older)

1.06

1.03, 1.09

< 0.001

  Females (reference: males)

0.83

0.57, 1.22

0.349

ICU stay

 Model without covariates:

  Fracture caused by bicycle accident

0.55

0.13, 2.36

0.423

 Model with covariates:

  Fracture caused by bicycle accident

0.43

0.10, 1.85

0.256

  Age (reference: one year older)

0.98

0.93, 1.03

0.466

  Females (reference: males)

0.33

0.16, 0.71

0.004

Delirium

 Model without covariates:

  Fracture caused by bicycle accident

0.72

0.40, 1.27

0.256

 Model with covariates:

  Fracture caused by bicycle accident

0.74

0.41, 1.34

0.317

  Age (reference: one year older)

1.04

1.01, 1.06

0.006

  Females (reference: males)

0.54

0.38, 0.77

0.001

Blood transfusion(s)

 Model without covariates:

  Fracture caused by bicycle accident

0.55

0.29, 1.03

0.061

 Model with covariates:

  Fracture caused by bicycle accident

0.60

0.32, 1.14

0.116

  Age (reference: one year older)

1.03

1.00, 1.06

0.026

  Females (reference: males)

0.83

0.58, 1.20

0.322

Infection(s)

 Model without covariates:

  Fracture caused by bicycle accident

0.49

0.26, 0.92

0.026

 Model with covariates:

  Fracture caused by bicycle accident

0.53

0.28, 0.99

0.048

  Age (reference: one year older)

1.03

1.00, 1.05

0.022

  Females (reference: males)

0.76

0.53, 1.08

0.130

Death

 Model without covariates:

  Fracture caused by bicycle accident

0.28

0.04, 2.12

0.220

 Model with covariates:

  Fracture caused by bicycle accident

0.23

0.03, 1.77

0.159

  Age (reference: one year older)

1.02

0.96, 1.08

0.510

  Females (reference: males)

0.23

0.10, 0.61

< 0.001