Table 2.
Best-fit multivariate risk model for femalesa with comparison to data published in the study Sturnick et al.23
| Variable (unit change) | Odds Ratio (95% CI) | p value | % Increase in ACL Injury Riskb |
|---|---|---|---|
|
| |||
| LatTibMCS (1 deg) | |||
| Present study | 1.318 (1.137–1.529) | 0.0003 | 31.8% |
| Sturnick et al.23 | 1.324 (1.135–1.546) | 0.0004 | 32.4% |
| NW_O (1 mm) | |||
| Present study | 0.749 (0.605–0.925) | 0.007 | 33.5% |
| Sturnick et al.23 | 0.667 (0.505–0.881) | 0.004 | 49.9% |
a
Includes measures of lateral compartment middle cartilage slope (LatTibMCS) and femoral intercondylar notch width at the anterior outlet of the ACL (NW_O). A multivariate conditional logistic regression was 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.
b
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.