Table 2.
Binary univariate and multivariate regression model shows all the mentioned factors as significant predictors for performing an accompanying HTO, whereas in multivariate regression, only the amount of leg axis deformity, the length of symptom duration and the quality of corresponding joint surface remain significant predictors
| Factor | Univariate regressions | Multivariate regressions | ||||
|---|---|---|---|---|---|---|
| p value | Exp (B) | CI (95%) | p value | Exp (B) | CI (95%) | |
| Degree varus [°] | < 0.001 | 1.850 | 1.661–2.061 | < 0.001 | 1.877 | 1.676–2.101 |
| Symptom duration [months] | 0.013 | 1.005 | 1.001–1.009 | 0.030 | 1.007 | 1.001–1.013 |
| Corresponding joint surface* | < 0.001 | 3.239 | 2.422–4.333 | 0.001 | 2.090 | 1.384–3.240 |
| Defect size [mm] | 0.001 | 1.001 | 1.000–1.002 | |||
| Defect stadium** | 0.028 | 1.363 | 1.033–1.799 | |||
| Age [years] | < 0.001 | 1.025 | 1.001–1.038 | |||
| BMI | 0.022 | 1.046 | 1.006–1.088 | |||
| Meniscus status*** | < 0.001 | 1.822 | 1.466–2.265 | |||
| Previous surgeries [n] | 0.002 | 1.272 | 1.096–1.475 | |||
*0 = intact, 1 = I°–II°, 2 = completely damaged
**0 = NA, 1 = I, 2 = II, 3 = IIIa/IIIB, 4 = IVa/IVb
***0 = intact, 1 ≤ 1/3 resected, 2 ≥ 1/3 resected, 3 = other