Table 6. Diagnostic clusters combining history elements and physical examination tests to diagnose partial or complete ACL tears (n = 43) or complete ACL tears only (n = 22).
Clusters | Se (95% CI) | Sp (95% CI) | PPV (95% CI) | LR+ (95% CI) |
---|---|---|---|---|
Knee complaints are likely due to a partial or complete ACL tear in individuals with: | 0.58 (0.42–0.72) | 0.94 (0.90–0.97) | 0.64 (0.47–0.79) | 9.80 (5.55–17.29) |
➢Pivoting traumatic mechanism | ||||
AND | ||||
➢“Popping” sensation during trauma | ||||
Internal validation | 0.53 (0.38–0.69) | 0.92 (0.87–0.95) | 0.56 (0.40–0.72) | 7.01 (4.15–11.85) |
Knee complaints are likely due to a complete ACL tear in individuals with: | 0.82 (0.60–0.95) | 0.95 (0.92–0.97) | 0.60 (0.41–0.77) | 17.5 (9.8–31.5) |
➢Pivoting traumatic mechanism | ||||
AND | ||||
➢Immediate effusion after trauma | ||||
AND | ||||
➢Positive Lachman test | ||||
Internal validation | 0.82 (0.60–0.95) | 0.93 (0.90–0.96) | 0.51 (0.34–0.69) | 12.37 (7.50–20.39) |
Se: sensitivity; Sp: specificity; PPV: positive predictive value; LR+: positive likelihood ratio. Clusters are obtained using recursive partitioning with all variables associated with the diagnosis of an ACL tear. Internal validation was assessed by bootstrapping (n = 1000).