Table 1.
Univariate conditional logistic regression models for femalesa with comparison to data published in Sturnick et al.23
| Variable (unit change) | Odds Ratio (95% CI) | p value | % Increase in ACL Injury Riskb |
|---|---|---|---|
|
| |||
| NW_O (1 mm) | |||
| Present study | 0.780 (0.655–0.928) | 0.005 | 28.2% |
| Sturnick et al.23 | 0.692 (0.557–0.859) | <0.01 | 44.5% |
| LatTibMCS (1 deg) | |||
| Present study | 1.306 (1.136–1.501) | <0.001 | 30.6% |
| Sturnick et al.23 | 1.303 (1.142–1.486) | <0.001 | 30.3% |
| LatTibMBA (1 deg) | |||
| Present study | 0.829 (0.738–0.933) | 0.002 | 20.6% |
| Sturnick et al.23 | 0.863 (0.781–0.953) | 0.004 | 15.9% |
| ACL volume (100 mm3) | |||
| Present study | 0.829 (0.707–0.970) | 0.020 | 20.6% |
| Sturnick et al.23 | 0.850 (0.719–1.005) | >0.05 | 17.6% |
ACL: anterior cruciate ligament; LatTibMBA: lateral tibial compartment meniscus-bone angle; LatTibMCS: lateral tibial compartment middle cartilage slope; NW_O: femoral intercondylar notch width at the anterior outlet of the ACL.
Regression models were performed using the uninjured leg of ACL-injured subjects and the corresponding knee of control subjects. Odds ratios and associated 95% confidence intervals (CIs) describe the effects of a unit increase from the mean for each variable on risk of suffering a noncontact ACL injury.
Percentage (%) increase in ACL injury risk for a unit increase from the mean for the LatTibMCS and for a unit decrease from the mean for the NW_O, the LatTibMBA, and the ACL volume.
Bolded values represent statistical significance.