Table 3.
Univariable logistic regression model for predictors of nonunion
| Factor | Group sample size* | Nagelkerke R square | Odds ratio | |
|---|---|---|---|---|
| [95% CI] |
Probability |
|
|
|
|
Cortical Continuity |
193 |
0.108 |
6.444 [1.892, 21.950] |
0.003 |
| 50-100% |
|
|
|
|
| 0-25% |
|
|
|
|
|
Degree of Soft Tissue Injury |
199 |
0.520 |
2.561 [1.238, 5.295] |
0.011 |
| Closed |
|
|
|
|
| Open |
|
|
|
|
|
Comminution |
194 |
0.035 |
2.210 [1.048, 4.660] |
0.037 |
| No |
|
|
|
|
| Yes |
|
|
|
|
|
Transverse Fracture |
199 |
0.011 |
1.897 [0.682, 5.276] |
0.220 |
| No |
|
|
|
|
| Yes |
|
|
|
|
|
Oblique Fracture |
190 |
0.070 |
2.942 [1.316, 6.579] |
0.009 |
| Transverse |
|
|
|
|
| Oblique |
|
|
|
|
|
Segmental Fracture |
|
|
3.173 [0.963, 10.459] |
0.058 |
| Transverse |
|
|
|
|
| Segmental |
*n denominators do not equate to 200 due to missing values.