Table 5.
Univariable logistic regression model for predictors of reoperation
| Factor | Group sample size* | Nagelkerke R square | Odds ratio [95% CI] | Probability |
|---|---|---|---|---|
|
Degree of Soft Tissue Injury |
199 |
0.065 |
3.094 [1.347, 7.109] |
0.008 |
| Closed |
|
|
|
|
| Open |
|
|
|
|
|
Comminution |
194 |
0.006 |
1.417 [0.606, 3.311] |
0.422 |
| No |
|
|
|
|
| Yes |
|
|
|
|
|
Transverse Fracture |
199 |
0.034 |
2.990 [1.046, 8.551] |
0.041 |
| No |
|
|
|
|
| Yes |
|
|
|
|
|
Oblique Fracture |
|
|
2.020 [0.820, 4.978] |
0.127 |
| Transverse |
|
|
|
|
| Oblique |
|
|
|
|
|
Segmental Fracture |
190 |
0.034 |
2.825 [0.784, 10.180] |
0.112 |
| Transverse |
|
|
|
|
| Segmental |
*n denominators do not equate to 200 due to missing values.